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|---|---|---|---|---|---|---|---|---|---|---|
select count ( * ) where artist > 185 col : draw | artist | song | jury | televote | total | place row 1 : 1 | kasia nova | "the devil" | 0 | 1 | 1 | 11 row 2 : 2 | edi ann | "lovin'u" | 7 | 5 | 12 | 4 row 3 : 3 | izabela kopec | "you've got my love" | 4 | 6 | 10 | 6 row 4 : 4 | starnawski & urban noiz | "it's not a game" | 5 | 0 | 5 | 10 row 5 : 5 | queens | "i say my body" | 0 | 0 | 0 | 12 row 6 : 6 | isis gee | "for life" | 12 | 12 | 24 | 1 row 7 : 7 | man meadow | "viva la musica" | 2 | 10 | 12 | 3 row 8 : 8 | afromental | "thing we've got" | 3 | 4 | 7 | 9 row 9 : 9 | plastic | "do something" | 10 | 2 | 12 | 5 row 10 : 10 | sandra oxenryd | "superhero" | 6 | 3 | 9 | 8 row 11 : 11 | natasza urbanska | "blow over" | 8 | 7 | 15 | 2 row 12 : 12 | margo | "dlatego walcz" | 1 | 8 | 9 | 7 | col : count ( "*" ) row 1 : 12 | select count ( * ) where artist > 185 <table_name> : table \begin{tabular}{llllllll}
\toprule
& draw & artist & song & jury & televote & total & place \\
\midrule
0 & 1 & kasia nova & "the devil" & 0 & 1 & 1 & 11 \\
1 & 2 & edi ann & "lovin'u" & 7 & 5 & 12 & 4 \\
2 & 3 & izabela kopec & "you've got my love" & 4 & 6 & 10 & 6 \\
3 & 4 & starnawski & urban noiz & "it's not a game" & 5 & 0 & 5 & 10 \\
4 & 5 & queens & "i say my body" & 0 & 0 & 0 & 12 \\
5 & 6 & isis gee & "for life" & 12 & 12 & 24 & 1 \\
6 & 7 & man meadow & "viva la musica" & 2 & 10 & 12 & 3 \\
7 & 8 & afromental & "thing we've got" & 3 & 4 & 7 & 9 \\
8 & 9 & plastic & "do something" & 10 & 2 & 12 & 5 \\
9 & 10 & sandra oxenryd & "superhero" & 6 & 3 & 9 & 8 \\
10 & 11 & natasza urbanska & "blow over" & 8 & 7 & 15 & 2 \\
11 & 12 & margo & "dlatego walcz" & 1 & 8 & 9 & 7 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 12 \\
\bottomrule
\end{tabular}
| select count ( * ) where artist > 185 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>draw</th>
<th>artist</th>
<th>song</th>
<th>jury</th>
<th>televote</th>
<th>total</th>
<th>place</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>kasia nova</td>
<td>"the devil"</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>11</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>edi ann</td>
<td>"lovin'u"</td>
<td>7</td>
<td>5</td>
<td>12</td>
<td>4</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>izabela kopec</td>
<td>"you've got my love"</td>
<td>4</td>
<td>6</td>
<td>10</td>
<td>6</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>starnawski & urban noiz</td>
<td>"it's not a game"</td>
<td>5</td>
<td>0</td>
<td>5</td>
<td>10</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>queens</td>
<td>"i say my body"</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>12</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>isis gee</td>
<td>"for life"</td>
<td>12</td>
<td>12</td>
<td>24</td>
<td>1</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>man meadow</td>
<td>"viva la musica"</td>
<td>2</td>
<td>10</td>
<td>12</td>
<td>3</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>afromental</td>
<td>"thing we've got"</td>
<td>3</td>
<td>4</td>
<td>7</td>
<td>9</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>plastic</td>
<td>"do something"</td>
<td>10</td>
<td>2</td>
<td>12</td>
<td>5</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>sandra oxenryd</td>
<td>"superhero"</td>
<td>6</td>
<td>3</td>
<td>9</td>
<td>8</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>natasza urbanska</td>
<td>"blow over"</td>
<td>8</td>
<td>7</td>
<td>15</td>
<td>2</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>margo</td>
<td>"dlatego walcz"</td>
<td>1</td>
<td>8</td>
<td>9</td>
<td>7</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>12</td>
</tr>
</tbody>
</table> | select count ( * ) where artist > 185 <table_name> : table | | draw | artist | song | jury | televote | total | place |
|---:|-------:|:------------------------|:---------------------|-------:|-----------:|--------:|--------:|
| 0 | 1 | kasia nova | "the devil" | 0 | 1 | 1 | 11 |
| 1 | 2 | edi ann | "lovin'u" | 7 | 5 | 12 | 4 |
| 2 | 3 | izabela kopec | "you've got my love" | 4 | 6 | 10 | 6 |
| 3 | 4 | starnawski & urban noiz | "it's not a game" | 5 | 0 | 5 | 10 |
| 4 | 5 | queens | "i say my body" | 0 | 0 | 0 | 12 |
| 5 | 6 | isis gee | "for life" | 12 | 12 | 24 | 1 |
| 6 | 7 | man meadow | "viva la musica" | 2 | 10 | 12 | 3 |
| 7 | 8 | afromental | "thing we've got" | 3 | 4 | 7 | 9 |
| 8 | 9 | plastic | "do something" | 10 | 2 | 12 | 5 |
| 9 | 10 | sandra oxenryd | "superhero" | 6 | 3 | 9 | 8 |
| 10 | 11 | natasza urbanska | "blow over" | 8 | 7 | 15 | 2 |
| 11 | 12 | margo | "dlatego walcz" | 1 | 8 | 9 | 7 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 12 | | [
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select count ( club ) where no. of premierships = 0 col : club | nickname | no. of premierships | premiership years | moved to row 1 : calleen (previously hiawatha) | blues | 0 | none | disbanded in 1932 row 2 : condobolin-milby | kangaroos | 3 | 1966-67, 1990 | disbanded in 2003 row 3 : four corners | redlegs | 13 | 1928-29-30-31-32, 1937, 1949, 1952, 1954, 1972, 1977, 1980, 1984 | disbanded in 1994 row 4 : kikoira | none | 2 | 1940-41 | disbanded row 5 : lake cargelligo | swans | 0 | none | amalgamated with lake cargelligo tigers in 1987 row 6 : parkes | panthers | 0 | none | central west afl in 2008 row 7 : tallimba | hawks | 0 | none | disbanded in 1987 row 8 : west milby | none | 1 | 1936 | disbanded row 9 : young | saints | 0 | none | central west afl | col : count ( "club" ) row 1 : 5 | select count ( club ) where no. of premierships = 0 <table_name> : table \begin{tabular}{llllll}
\toprule
& club & nickname & no. of premierships & premiership years & moved to \\
\midrule
0 & calleen (previously hiawatha) & blues & 0 & none & disbanded in 1932 \\
1 & condobolin-milby & kangaroos & 3 & 1966-67, 1990 & disbanded in 2003 \\
2 & four corners & redlegs & 13 & 1928-29-30-31-32, 1937, 1949, 1952, 1954, 1972, 1977, 1980, 1984 & disbanded in 1994 \\
3 & kikoira & none & 2 & 1940-41 & disbanded \\
4 & lake cargelligo & swans & 0 & none & amalgamated with lake cargelligo tigers in 1987 \\
5 & parkes & panthers & 0 & none & central west afl in 2008 \\
6 & tallimba & hawks & 0 & none & disbanded in 1987 \\
7 & west milby & none & 1 & 1936 & disbanded \\
8 & young & saints & 0 & none & central west afl \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "club" ) \\
\midrule
0 & 5 \\
\bottomrule
\end{tabular}
| select count ( club ) where no. of premierships = 0 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>club</th>
<th>nickname</th>
<th>no. of premierships</th>
<th>premiership years</th>
<th>moved to</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>calleen (previously hiawatha)</td>
<td>blues</td>
<td>0</td>
<td>none</td>
<td>disbanded in 1932</td>
</tr>
<tr>
<th>1</th>
<td>condobolin-milby</td>
<td>kangaroos</td>
<td>3</td>
<td>1966-67, 1990</td>
<td>disbanded in 2003</td>
</tr>
<tr>
<th>2</th>
<td>four corners</td>
<td>redlegs</td>
<td>13</td>
<td>1928-29-30-31-32, 1937, 1949, 1952, 1954, 1972, 1977, 1980, 1984</td>
<td>disbanded in 1994</td>
</tr>
<tr>
<th>3</th>
<td>kikoira</td>
<td>none</td>
<td>2</td>
<td>1940-41</td>
<td>disbanded</td>
</tr>
<tr>
<th>4</th>
<td>lake cargelligo</td>
<td>swans</td>
<td>0</td>
<td>none</td>
<td>amalgamated with lake cargelligo tigers in 1987</td>
</tr>
<tr>
<th>5</th>
<td>parkes</td>
<td>panthers</td>
<td>0</td>
<td>none</td>
<td>central west afl in 2008</td>
</tr>
<tr>
<th>6</th>
<td>tallimba</td>
<td>hawks</td>
<td>0</td>
<td>none</td>
<td>disbanded in 1987</td>
</tr>
<tr>
<th>7</th>
<td>west milby</td>
<td>none</td>
<td>1</td>
<td>1936</td>
<td>disbanded</td>
</tr>
<tr>
<th>8</th>
<td>young</td>
<td>saints</td>
<td>0</td>
<td>none</td>
<td>central west afl</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "club" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>5</td>
</tr>
</tbody>
</table> | select count ( club ) where no. of premierships = 0 <table_name> : table | | club | nickname | no. of premierships | premiership years | moved to |
|---:|:------------------------------|:-----------|----------------------:|:-----------------------------------------------------------------|:------------------------------------------------|
| 0 | calleen (previously hiawatha) | blues | 0 | none | disbanded in 1932 |
| 1 | condobolin-milby | kangaroos | 3 | 1966-67, 1990 | disbanded in 2003 |
| 2 | four corners | redlegs | 13 | 1928-29-30-31-32, 1937, 1949, 1952, 1954, 1972, 1977, 1980, 1984 | disbanded in 1994 |
| 3 | kikoira | none | 2 | 1940-41 | disbanded |
| 4 | lake cargelligo | swans | 0 | none | amalgamated with lake cargelligo tigers in 1987 |
| 5 | parkes | panthers | 0 | none | central west afl in 2008 |
| 6 | tallimba | hawks | 0 | none | disbanded in 1987 |
| 7 | west milby | none | 1 | 1936 | disbanded |
| 8 | young | saints | 0 | none | central west afl | | | | count ( "club" ) |
|---:|-------------------:|
| 0 | 5 | | [
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select count ( agg. ) where team 1 = 'carabanchel' col : team 1 | agg. | team 2 | 1st leg | 2nd leg row 1 : valladolid promesas | 1-3 | elche | 0-2 | 1-1 row 2 : pena sport | 0-4 | valladolid | 0-2 | 0-2 row 3 : algeciras | 2-10 | real madrid | 0-6 | 2-4 row 4 : real madrid castilla | 5-5 (3-4 p) | sabadell | 4-3 | 1-2 row 5 : leganes | 1-5 | eldense | 1-2 | 0-3 row 6 : ciempozuelos | 3-2 | lleida | 2-1 | 1-1 row 7 : alcala | 1-10 | valencia | 1-3 | 0-7 row 8 : burgos | 4-1 | huesca | 2-0 | 2-1 row 9 : ceuta | 1-6 | espanyol | 1-1 | 0-5 row 10 : atletico baleares | 2-3 | cadiz | 1-0 | 1-3 row 11 : tudelano | 3-6 | sporting gijon | 2-1 | 1-5 row 12 : figueres | 3-4 | racing santander | 1-2 | 2-2 row 13 : carabanchel | 5-2 | calvo sotelo | 4-1 | 1-1 row 14 : almansa | 1-4 | rayo vallecano | 0-2 | 1-2 row 15 : osasuna | 4-1 | guadalajara | 2-0 | 2-1 row 16 : deportivo | 5-1 | plasencia | 3-0 | 2-1 row 17 : europa | 3-8 | malaga | 3-3 | 0-5 row 18 : jaen | 1-4 | real union | 1-1 | 0-3 row 19 : ontinyent | 1-0 | torrejon | 1-0 | 0-0 row 20 : girona | 5-1 | alcoyano | 3-0 | 2-1 row 21 : valencia mestalla | 4-2 | sevilla atletico | 3-0 | 1-2 row 22 : espanol raspeig | 0-1 | mirandes | 0-0 | 0-1 row 23 : toledo | 3-3 (4-3 p) | badajoz | 2-0 | 1-3 row 24 : talavera | 2-0 | arosa | 2-0 | 0-0 row 25 : sarinena | 1-5 | rayo cantabria | 0-2 | 1-3 row 26 : san fernando | 5-1 | nastic tarragona | 4-1 | 1-0 row 27 : sevilla | 4-1 | sant andreu | 2-0 | 2-1 row 28 : orihuela | 0-3 | alaves | 0-1 | 0-2 row 29 : oviedo | 4-1 | cultural leonesa | 2-0 | 2-1 row 30 : langreo | 1-3 | granada | 1-0 | 0-3 row 31 : racing ferrol | 3-5 | real murcia | 2-0 | 1-5 row 32 : levante | 9-2 | moscardo | 5-0 | 4-2 row 33 : real sociedad | 3-3 (8-7 p) | xerez | 1-1 | 2-2 row 34 : marbella | 4-3 | gimnastica torrelavega | 4-1 | 0-2 row 35 : cordoba | 3-1 | bilbao athletic | 1-0 | 2-1 row 36 : recreativo | 4-2 | linense | 2-0 | 2-2 row 37 : reus | 0-5 | zaragoza | 0-0 | 0-5 row 38 : celta | 2-1 | cartagena | 2-0 | 0-1 row 39 : tenerife | 2-1 | malgrat | 2-0 | 0-1 row 40 : la cava | 2-5 | linares | 1-3 | 1-2 row 41 : gava | 2-3 | castellon | 1-1 | 1-2 row 42 : fabril | 0-7 | hercules | 0-3 | 0-4 | col : count ( "agg." ) row 1 : 1 | select count ( agg. ) where team 1 = 'carabanchel' <table_name> : table \begin{tabular}{llllll}
\toprule
& team 1 & agg. & team 2 & 1st leg & 2nd leg \\
\midrule
0 & valladolid promesas & 1-3 & elche & 0-2 & 1-1 \\
1 & pena sport & 0-4 & valladolid & 0-2 & 0-2 \\
2 & algeciras & 2-10 & real madrid & 0-6 & 2-4 \\
3 & real madrid castilla & 5-5 (3-4 p) & sabadell & 4-3 & 1-2 \\
4 & leganes & 1-5 & eldense & 1-2 & 0-3 \\
5 & ciempozuelos & 3-2 & lleida & 2-1 & 1-1 \\
6 & alcala & 1-10 & valencia & 1-3 & 0-7 \\
7 & burgos & 4-1 & huesca & 2-0 & 2-1 \\
8 & ceuta & 1-6 & espanyol & 1-1 & 0-5 \\
9 & atletico baleares & 2-3 & cadiz & 1-0 & 1-3 \\
10 & tudelano & 3-6 & sporting gijon & 2-1 & 1-5 \\
11 & figueres & 3-4 & racing santander & 1-2 & 2-2 \\
12 & carabanchel & 5-2 & calvo sotelo & 4-1 & 1-1 \\
13 & almansa & 1-4 & rayo vallecano & 0-2 & 1-2 \\
14 & osasuna & 4-1 & guadalajara & 2-0 & 2-1 \\
15 & deportivo & 5-1 & plasencia & 3-0 & 2-1 \\
16 & europa & 3-8 & malaga & 3-3 & 0-5 \\
17 & jaen & 1-4 & real union & 1-1 & 0-3 \\
18 & ontinyent & 1-0 & torrejon & 1-0 & 0-0 \\
19 & girona & 5-1 & alcoyano & 3-0 & 2-1 \\
20 & valencia mestalla & 4-2 & sevilla atletico & 3-0 & 1-2 \\
21 & espanol raspeig & 0-1 & mirandes & 0-0 & 0-1 \\
22 & toledo & 3-3 (4-3 p) & badajoz & 2-0 & 1-3 \\
23 & talavera & 2-0 & arosa & 2-0 & 0-0 \\
24 & sarinena & 1-5 & rayo cantabria & 0-2 & 1-3 \\
25 & san fernando & 5-1 & nastic tarragona & 4-1 & 1-0 \\
26 & sevilla & 4-1 & sant andreu & 2-0 & 2-1 \\
27 & orihuela & 0-3 & alaves & 0-1 & 0-2 \\
28 & oviedo & 4-1 & cultural leonesa & 2-0 & 2-1 \\
29 & langreo & 1-3 & granada & 1-0 & 0-3 \\
30 & racing ferrol & 3-5 & real murcia & 2-0 & 1-5 \\
31 & levante & 9-2 & moscardo & 5-0 & 4-2 \\
32 & real sociedad & 3-3 (8-7 p) & xerez & 1-1 & 2-2 \\
33 & marbella & 4-3 & gimnastica torrelavega & 4-1 & 0-2 \\
34 & cordoba & 3-1 & bilbao athletic & 1-0 & 2-1 \\
35 & recreativo & 4-2 & linense & 2-0 & 2-2 \\
36 & reus & 0-5 & zaragoza & 0-0 & 0-5 \\
37 & celta & 2-1 & cartagena & 2-0 & 0-1 \\
38 & tenerife & 2-1 & malgrat & 2-0 & 0-1 \\
39 & la cava & 2-5 & linares & 1-3 & 1-2 \\
40 & gava & 2-3 & castellon & 1-1 & 1-2 \\
41 & fabril & 0-7 & hercules & 0-3 & 0-4 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "agg." ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( agg. ) where team 1 = 'carabanchel' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>team 1</th>
<th>agg.</th>
<th>team 2</th>
<th>1st leg</th>
<th>2nd leg</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>valladolid promesas</td>
<td>1-3</td>
<td>elche</td>
<td>0-2</td>
<td>1-1</td>
</tr>
<tr>
<th>1</th>
<td>pena sport</td>
<td>0-4</td>
<td>valladolid</td>
<td>0-2</td>
<td>0-2</td>
</tr>
<tr>
<th>2</th>
<td>algeciras</td>
<td>2-10</td>
<td>real madrid</td>
<td>0-6</td>
<td>2-4</td>
</tr>
<tr>
<th>3</th>
<td>real madrid castilla</td>
<td>5-5 (3-4 p)</td>
<td>sabadell</td>
<td>4-3</td>
<td>1-2</td>
</tr>
<tr>
<th>4</th>
<td>leganes</td>
<td>1-5</td>
<td>eldense</td>
<td>1-2</td>
<td>0-3</td>
</tr>
<tr>
<th>5</th>
<td>ciempozuelos</td>
<td>3-2</td>
<td>lleida</td>
<td>2-1</td>
<td>1-1</td>
</tr>
<tr>
<th>6</th>
<td>alcala</td>
<td>1-10</td>
<td>valencia</td>
<td>1-3</td>
<td>0-7</td>
</tr>
<tr>
<th>7</th>
<td>burgos</td>
<td>4-1</td>
<td>huesca</td>
<td>2-0</td>
<td>2-1</td>
</tr>
<tr>
<th>8</th>
<td>ceuta</td>
<td>1-6</td>
<td>espanyol</td>
<td>1-1</td>
<td>0-5</td>
</tr>
<tr>
<th>9</th>
<td>atletico baleares</td>
<td>2-3</td>
<td>cadiz</td>
<td>1-0</td>
<td>1-3</td>
</tr>
<tr>
<th>10</th>
<td>tudelano</td>
<td>3-6</td>
<td>sporting gijon</td>
<td>2-1</td>
<td>1-5</td>
</tr>
<tr>
<th>11</th>
<td>figueres</td>
<td>3-4</td>
<td>racing santander</td>
<td>1-2</td>
<td>2-2</td>
</tr>
<tr>
<th>12</th>
<td>carabanchel</td>
<td>5-2</td>
<td>calvo sotelo</td>
<td>4-1</td>
<td>1-1</td>
</tr>
<tr>
<th>13</th>
<td>almansa</td>
<td>1-4</td>
<td>rayo vallecano</td>
<td>0-2</td>
<td>1-2</td>
</tr>
<tr>
<th>14</th>
<td>osasuna</td>
<td>4-1</td>
<td>guadalajara</td>
<td>2-0</td>
<td>2-1</td>
</tr>
<tr>
<th>15</th>
<td>deportivo</td>
<td>5-1</td>
<td>plasencia</td>
<td>3-0</td>
<td>2-1</td>
</tr>
<tr>
<th>16</th>
<td>europa</td>
<td>3-8</td>
<td>malaga</td>
<td>3-3</td>
<td>0-5</td>
</tr>
<tr>
<th>17</th>
<td>jaen</td>
<td>1-4</td>
<td>real union</td>
<td>1-1</td>
<td>0-3</td>
</tr>
<tr>
<th>18</th>
<td>ontinyent</td>
<td>1-0</td>
<td>torrejon</td>
<td>1-0</td>
<td>0-0</td>
</tr>
<tr>
<th>19</th>
<td>girona</td>
<td>5-1</td>
<td>alcoyano</td>
<td>3-0</td>
<td>2-1</td>
</tr>
<tr>
<th>20</th>
<td>valencia mestalla</td>
<td>4-2</td>
<td>sevilla atletico</td>
<td>3-0</td>
<td>1-2</td>
</tr>
<tr>
<th>21</th>
<td>espanol raspeig</td>
<td>0-1</td>
<td>mirandes</td>
<td>0-0</td>
<td>0-1</td>
</tr>
<tr>
<th>22</th>
<td>toledo</td>
<td>3-3 (4-3 p)</td>
<td>badajoz</td>
<td>2-0</td>
<td>1-3</td>
</tr>
<tr>
<th>23</th>
<td>talavera</td>
<td>2-0</td>
<td>arosa</td>
<td>2-0</td>
<td>0-0</td>
</tr>
<tr>
<th>24</th>
<td>sarinena</td>
<td>1-5</td>
<td>rayo cantabria</td>
<td>0-2</td>
<td>1-3</td>
</tr>
<tr>
<th>25</th>
<td>san fernando</td>
<td>5-1</td>
<td>nastic tarragona</td>
<td>4-1</td>
<td>1-0</td>
</tr>
<tr>
<th>26</th>
<td>sevilla</td>
<td>4-1</td>
<td>sant andreu</td>
<td>2-0</td>
<td>2-1</td>
</tr>
<tr>
<th>27</th>
<td>orihuela</td>
<td>0-3</td>
<td>alaves</td>
<td>0-1</td>
<td>0-2</td>
</tr>
<tr>
<th>28</th>
<td>oviedo</td>
<td>4-1</td>
<td>cultural leonesa</td>
<td>2-0</td>
<td>2-1</td>
</tr>
<tr>
<th>29</th>
<td>langreo</td>
<td>1-3</td>
<td>granada</td>
<td>1-0</td>
<td>0-3</td>
</tr>
<tr>
<th>30</th>
<td>racing ferrol</td>
<td>3-5</td>
<td>real murcia</td>
<td>2-0</td>
<td>1-5</td>
</tr>
<tr>
<th>31</th>
<td>levante</td>
<td>9-2</td>
<td>moscardo</td>
<td>5-0</td>
<td>4-2</td>
</tr>
<tr>
<th>32</th>
<td>real sociedad</td>
<td>3-3 (8-7 p)</td>
<td>xerez</td>
<td>1-1</td>
<td>2-2</td>
</tr>
<tr>
<th>33</th>
<td>marbella</td>
<td>4-3</td>
<td>gimnastica torrelavega</td>
<td>4-1</td>
<td>0-2</td>
</tr>
<tr>
<th>34</th>
<td>cordoba</td>
<td>3-1</td>
<td>bilbao athletic</td>
<td>1-0</td>
<td>2-1</td>
</tr>
<tr>
<th>35</th>
<td>recreativo</td>
<td>4-2</td>
<td>linense</td>
<td>2-0</td>
<td>2-2</td>
</tr>
<tr>
<th>36</th>
<td>reus</td>
<td>0-5</td>
<td>zaragoza</td>
<td>0-0</td>
<td>0-5</td>
</tr>
<tr>
<th>37</th>
<td>celta</td>
<td>2-1</td>
<td>cartagena</td>
<td>2-0</td>
<td>0-1</td>
</tr>
<tr>
<th>38</th>
<td>tenerife</td>
<td>2-1</td>
<td>malgrat</td>
<td>2-0</td>
<td>0-1</td>
</tr>
<tr>
<th>39</th>
<td>la cava</td>
<td>2-5</td>
<td>linares</td>
<td>1-3</td>
<td>1-2</td>
</tr>
<tr>
<th>40</th>
<td>gava</td>
<td>2-3</td>
<td>castellon</td>
<td>1-1</td>
<td>1-2</td>
</tr>
<tr>
<th>41</th>
<td>fabril</td>
<td>0-7</td>
<td>hercules</td>
<td>0-3</td>
<td>0-4</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "agg." )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( agg. ) where team 1 = 'carabanchel' <table_name> : table | | team 1 | agg. | team 2 | 1st leg | 2nd leg |
|---:|:---------------------|:------------|:-----------------------|:----------|:----------|
| 0 | valladolid promesas | 1-3 | elche | 0-2 | 1-1 |
| 1 | pena sport | 0-4 | valladolid | 0-2 | 0-2 |
| 2 | algeciras | 2-10 | real madrid | 0-6 | 2-4 |
| 3 | real madrid castilla | 5-5 (3-4 p) | sabadell | 4-3 | 1-2 |
| 4 | leganes | 1-5 | eldense | 1-2 | 0-3 |
| 5 | ciempozuelos | 3-2 | lleida | 2-1 | 1-1 |
| 6 | alcala | 1-10 | valencia | 1-3 | 0-7 |
| 7 | burgos | 4-1 | huesca | 2-0 | 2-1 |
| 8 | ceuta | 1-6 | espanyol | 1-1 | 0-5 |
| 9 | atletico baleares | 2-3 | cadiz | 1-0 | 1-3 |
| 10 | tudelano | 3-6 | sporting gijon | 2-1 | 1-5 |
| 11 | figueres | 3-4 | racing santander | 1-2 | 2-2 |
| 12 | carabanchel | 5-2 | calvo sotelo | 4-1 | 1-1 |
| 13 | almansa | 1-4 | rayo vallecano | 0-2 | 1-2 |
| 14 | osasuna | 4-1 | guadalajara | 2-0 | 2-1 |
| 15 | deportivo | 5-1 | plasencia | 3-0 | 2-1 |
| 16 | europa | 3-8 | malaga | 3-3 | 0-5 |
| 17 | jaen | 1-4 | real union | 1-1 | 0-3 |
| 18 | ontinyent | 1-0 | torrejon | 1-0 | 0-0 |
| 19 | girona | 5-1 | alcoyano | 3-0 | 2-1 |
| 20 | valencia mestalla | 4-2 | sevilla atletico | 3-0 | 1-2 |
| 21 | espanol raspeig | 0-1 | mirandes | 0-0 | 0-1 |
| 22 | toledo | 3-3 (4-3 p) | badajoz | 2-0 | 1-3 |
| 23 | talavera | 2-0 | arosa | 2-0 | 0-0 |
| 24 | sarinena | 1-5 | rayo cantabria | 0-2 | 1-3 |
| 25 | san fernando | 5-1 | nastic tarragona | 4-1 | 1-0 |
| 26 | sevilla | 4-1 | sant andreu | 2-0 | 2-1 |
| 27 | orihuela | 0-3 | alaves | 0-1 | 0-2 |
| 28 | oviedo | 4-1 | cultural leonesa | 2-0 | 2-1 |
| 29 | langreo | 1-3 | granada | 1-0 | 0-3 |
| 30 | racing ferrol | 3-5 | real murcia | 2-0 | 1-5 |
| 31 | levante | 9-2 | moscardo | 5-0 | 4-2 |
| 32 | real sociedad | 3-3 (8-7 p) | xerez | 1-1 | 2-2 |
| 33 | marbella | 4-3 | gimnastica torrelavega | 4-1 | 0-2 |
| 34 | cordoba | 3-1 | bilbao athletic | 1-0 | 2-1 |
| 35 | recreativo | 4-2 | linense | 2-0 | 2-2 |
| 36 | reus | 0-5 | zaragoza | 0-0 | 0-5 |
| 37 | celta | 2-1 | cartagena | 2-0 | 0-1 |
| 38 | tenerife | 2-1 | malgrat | 2-0 | 0-1 |
| 39 | la cava | 2-5 | linares | 1-3 | 1-2 |
| 40 | gava | 2-3 | castellon | 1-1 | 1-2 |
| 41 | fabril | 0-7 | hercules | 0-3 | 0-4 | | | | count ( "agg." ) |
|---:|-------------------:|
| 0 | 1 | | [
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4025,
1056,
261,
10421,
18,
262,
1625,
5927,
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273,
296,
9815,
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343,
292,
11,
411,
2121,
67,
529,
34,
294,
1014,
521,
10086,
95,
7032,
2490,
8637,
2906,
2906,
2906,
97,
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64,
3669,
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5927,
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473,
10421,
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17,
2163,
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1244,
28115,
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17,
23,
473,
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17,
27,
1736,
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473,
324,
295,
19340,
473,
1059,
17,
21,
473,
366,
89,
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473,
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17,
20,
473,
576,
17,
21,
1736,
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28,
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5898,
322,
69,
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17,
26,
473,
5001,
84,
2273,
355,
473,
404,
17,
21,
473,
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17,
25,
1736,
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29,
473,
622,
1810,
10764,
324,
5349,
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17,
23,
473,
28451,
452,
473,
404,
17,
20,
473,
404,
17,
23,
1736,
203,
2163,
473,
268,
1100,
292,
31922,
473,
890,
17,
26,
473,
272,
655,
310,
314,
8302,
265,
473,
576,
17,
21,
473,
404,
17,
25,
1736,
203,
2499,
473,
4291,
6211,
281,
473,
890,
17,
24,
473,
767,
2822,
272,
970,
464,
264,
473,
404,
17,
22,
473,
576,
17,
22,
1736,
203,
2138,
473,
5926,
378,
304,
343,
292,
473,
1381,
17,
22,
473,
1443,
12307,
272,
352,
24214,
473,
1059,
17,
21,
473,
404,
17,
21,
1736,
203,
3437,
473,
524,
81,
634,
69,
473,
404,
17,
24,
473,
14961,
83,
1244,
298,
4169,
83,
473,
374,
17,
22,
473,
404,
17,
22,
1736,
203,
3461,
473,
1140,
345,
31172,
473,
1059,
17,
21,
473,
3058,
361,
287,
4365,
297,
69,
473,
576,
17,
20,
473,
576,
17,
21,
1736,
203,
3600,
473,
443,
655,
20593,
473,
1381,
17,
21,
473,
886,
345,
28115,
473,
890,
17,
20,
473,
576,
17,
21,
1736,
203,
2313,
473,
425,
295,
556,
69,
473,
890,
17,
28,
473,
27431,
346,
69,
473,
890,
17,
23,
473,
374,
17,
25,
1736,
203,
4033,
473,
26879,
275,
473,
404,
17,
24,
473,
2863,
7812,
473,
404,
17,
21,
473,
374,
17,
23,
1736,
203,
2643,
473,
603,
88,
11652,
319,
473,
404,
17,
20,
473,
8934,
266,
78,
265,
473,
404,
17,
20,
473,
374,
17,
20,
1736,
203,
3657,
473,
314,
1913,
69,
473,
1381,
17,
21,
473,
524,
2894,
93,
31922,
473,
890,
17,
20,
473,
576,
17,
21,
1736,
203,
3462,
473,
1244,
28115,
312,
395,
454,
69,
473,
1059,
17,
22,
473,
695,
90,
10745,
622,
1810,
10764,
473,
890,
17,
20,
473,
404,
17,
22,
1736,
203,
5340,
473,
5001,
7355,
355,
18306,
347,
360,
473,
374,
17,
21,
473,
312,
481,
464,
281,
473,
374,
17,
20,
473,
374,
17,
21,
1736,
203,
3787,
473,
358,
1259,
83,
473,
890,
17,
23,
261,
24,
17,
23,
293,
13,
473,
5570,
4365,
11142,
473,
576,
17,
20,
473,
404,
17,
23,
1736,
203,
4366,
473,
268,
287,
21851,
69,
473,
576,
17,
20,
473,
279,
6973,
69,
473,
576,
17,
20,
473,
374,
17,
20,
1736,
203,
3247,
473,
272,
297,
267,
24457,
473,
404,
17,
25,
473,
14961,
83,
848,
7032,
19263,
473,
374,
17,
22,
473,
404,
17,
23,
1736,
203,
2947,
473,
272,
304,
284,
8865,
28630,
473,
1381,
17,
21,
473,
290,
8160,
8232,
2458,
265,
69,
473,
1059,
17,
21,
473,
404,
17,
20,
1736,
203,
5558,
473,
695,
90,
10745,
473,
1059,
17,
21,
473,
272,
970,
471,
266,
89,
473,
576,
17,
20,
473,
576,
17,
21,
1736,
203,
5324,
473,
578,
7392,
20317,
69,
473,
374,
17,
23,
473,
524,
6606,
473,
374,
17,
21,
473,
374,
17,
22,
1736,
203,
6030,
473,
320,
522,
329,
83,
473,
1059,
17,
21,
473,
276,
406,
3766,
884,
5322,
69,
473,
576,
17,
20,
473,
576,
17,
21,
1736,
203,
5540,
473,
3303,
266,
83,
473,
404,
17,
23,
473,
15889,
16524,
473,
404,
17,
20,
473,
374,
17,
23,
1736,
203,
5082,
473,
767,
2822,
284,
264,
922,
473,
890,
17,
25,
473,
2863,
312,
295,
71,
1155,
473,
576,
17,
20,
473,
404,
17,
25,
1736,
203,
6938,
473,
18565,
7974,
473,
2468,
17,
22,
473,
312,
538,
3327,
83,
473,
1381,
17,
20,
473,
1059,
17,
22,
1736,
203,
1578,
473,
2863,
272,
1882,
329,
361,
473,
890,
17,
23,
261,
28,
17,
27,
293,
13,
473,
619,
822,
94,
473,
404,
17,
21,
473,
576,
17,
22,
1736,
203,
3707,
473,
312,
6779,
1165,
69,
473,
1059,
17,
23,
473,
314,
381,
82,
8160,
69,
8934,
2878,
836,
15833,
473,
1059,
17,
21,
473,
374,
17,
22,
1736,
203,
5026,
473,
276,
517,
947,
69,
473,
890,
17,
21,
473,
324,
330,
70,
6033,
225,
421,
1810,
335,
473,
404,
17,
20,
473,
576,
17,
21,
1736,
203,
4763,
473,
283,
27350,
20593,
473,
1059,
17,
22,
473,
4739,
3558,
473,
576,
17,
20,
473,
576,
17,
22,
1736,
203,
5718,
473,
283,
407,
473,
374,
17,
25,
473,
998,
297,
346,
11142,
69,
473,
374,
17,
20,
473,
374,
17,
25,
1736,
203,
6418,
473,
276,
8967,
473,
576,
17,
21,
473,
7035,
346,
2
]
] | [
[
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
1,
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select count ( away team ) where home team = 'moghavemat sepasi' col : date | home team | score | away team | notes row 1 : 2007-12-17 00:00:00 | foolad | 4-4 | esteghlal ahvaz | foolad progress 8-7 on penalties row 2 : 2007-12-21 00:00:00 | rah ahan | 2-2 | steel azin | rah ahan progress 5-2 on penalties row 3 : 2007-12-21 00:00:00 | zob ahan | 1-1 | esteghlal | esteghlal progress 3-1 on penalties row 4 : 2007-12-21 00:00:00 | bargh shiraz | 1-0 | paykan tehran | none row 5 : 2007-12-21 00:00:00 | shahin bushehr | 2-2 | saba battery | shahin bushehr progress 6-5 on penalties row 6 : 2007-12-24 00:00:00 | pas hamedan | 3-0 | persepolis | none row 7 : 2008-02-26 00:00:00 | moghavemat sepasi | 1-2 | sepahan | none row 8 : 2008-03-04 00:00:00 | sanaye arak | 0-1 | pegah gilan | none | col : count ( "away team" ) row 1 : 1 | select count ( away team ) where home team = 'moghavemat sepasi' <table_name> : table \begin{tabular}{llllll}
\toprule
& date & home team & score & away team & notes \\
\midrule
0 & 2007-12-17 00:00:00 & foolad & 4-4 & esteghlal ahvaz & foolad progress 8-7 on penalties \\
1 & 2007-12-21 00:00:00 & rah ahan & 2-2 & steel azin & rah ahan progress 5-2 on penalties \\
2 & 2007-12-21 00:00:00 & zob ahan & 1-1 & esteghlal & esteghlal progress 3-1 on penalties \\
3 & 2007-12-21 00:00:00 & bargh shiraz & 1-0 & paykan tehran & none \\
4 & 2007-12-21 00:00:00 & shahin bushehr & 2-2 & saba battery & shahin bushehr progress 6-5 on penalties \\
5 & 2007-12-24 00:00:00 & pas hamedan & 3-0 & persepolis & none \\
6 & 2008-02-26 00:00:00 & moghavemat sepasi & 1-2 & sepahan & none \\
7 & 2008-03-04 00:00:00 & sanaye arak & 0-1 & pegah gilan & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "away team" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( away team ) where home team = 'moghavemat sepasi' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>home team</th>
<th>score</th>
<th>away team</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2007-12-17 00:00:00</td>
<td>foolad</td>
<td>4-4</td>
<td>esteghlal ahvaz</td>
<td>foolad progress 8-7 on penalties</td>
</tr>
<tr>
<th>1</th>
<td>2007-12-21 00:00:00</td>
<td>rah ahan</td>
<td>2-2</td>
<td>steel azin</td>
<td>rah ahan progress 5-2 on penalties</td>
</tr>
<tr>
<th>2</th>
<td>2007-12-21 00:00:00</td>
<td>zob ahan</td>
<td>1-1</td>
<td>esteghlal</td>
<td>esteghlal progress 3-1 on penalties</td>
</tr>
<tr>
<th>3</th>
<td>2007-12-21 00:00:00</td>
<td>bargh shiraz</td>
<td>1-0</td>
<td>paykan tehran</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>2007-12-21 00:00:00</td>
<td>shahin bushehr</td>
<td>2-2</td>
<td>saba battery</td>
<td>shahin bushehr progress 6-5 on penalties</td>
</tr>
<tr>
<th>5</th>
<td>2007-12-24 00:00:00</td>
<td>pas hamedan</td>
<td>3-0</td>
<td>persepolis</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>2008-02-26 00:00:00</td>
<td>moghavemat sepasi</td>
<td>1-2</td>
<td>sepahan</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>2008-03-04 00:00:00</td>
<td>sanaye arak</td>
<td>0-1</td>
<td>pegah gilan</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "away team" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( away team ) where home team = 'moghavemat sepasi' <table_name> : table | | date | home team | score | away team | notes |
|---:|:--------------------|:------------------|:--------|:----------------|:-----------------------------------------|
| 0 | 2007-12-17 00:00:00 | foolad | 4-4 | esteghlal ahvaz | foolad progress 8-7 on penalties |
| 1 | 2007-12-21 00:00:00 | rah ahan | 2-2 | steel azin | rah ahan progress 5-2 on penalties |
| 2 | 2007-12-21 00:00:00 | zob ahan | 1-1 | esteghlal | esteghlal progress 3-1 on penalties |
| 3 | 2007-12-21 00:00:00 | bargh shiraz | 1-0 | paykan tehran | none |
| 4 | 2007-12-21 00:00:00 | shahin bushehr | 2-2 | saba battery | shahin bushehr progress 6-5 on penalties |
| 5 | 2007-12-24 00:00:00 | pas hamedan | 3-0 | persepolis | none |
| 6 | 2008-02-26 00:00:00 | moghavemat sepasi | 1-2 | sepahan | none |
| 7 | 2008-03-04 00:00:00 | sanaye arak | 0-1 | pegah gilan | none | | | | count ( "away team" ) |
|---:|------------------------:|
| 0 | 1 | | [
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select count ( year ) where back of shirt sponsor = 'none' col : year | kit manufacturer | shirt sponsor | back of shirt sponsor | short sponsor row 1 : 1977-1978 | none | national express | none | none row 2 : 1982-1985 | umbro | none | none | none row 3 : 1985-1986 | umbro | whitbread | none | none row 4 : 1986-1988 | henson | duraflex | none | none row 5 : 1988-1989 | none | gulf oil | none | none row 6 : 1991-1993 | technik | gulf oil | none | none row 7 : 1993-1994 | club sport | gulf oil | none | none row 8 : 1994-1995 | klub sport | empress | none | none row 9 : 1995-1996 | matchwinner | empress | none | none row 10 : 1996-1997 | uk | endsleigh insurance | none | none row 11 : 1997-1999 | errea | endsleigh insurance | none | none row 12 : 1999-2004 | errea | towergate insurance | none | none row 13 : 2004-2008 | errea | bence building merchants | none | none row 14 : 2008- | errea | mira showers | none | none row 15 : 2009-2011 | errea | mira showers | psu technology group | none row 16 : 2011-2013 | errea | mira showers | barr stadia | gloucestershire echo row 17 : 2013- | errea | mira showers | gloucestershire college | gloucestershire echo | col : count ( "year" ) row 1 : 14 | select count ( year ) where back of shirt sponsor = 'none' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & kit manufacturer & shirt sponsor & back of shirt sponsor & short sponsor \\
\midrule
0 & 1977-1978 & none & national express & none & none \\
1 & 1982-1985 & umbro & none & none & none \\
2 & 1985-1986 & umbro & whitbread & none & none \\
3 & 1986-1988 & henson & duraflex & none & none \\
4 & 1988-1989 & none & gulf oil & none & none \\
5 & 1991-1993 & technik & gulf oil & none & none \\
6 & 1993-1994 & club sport & gulf oil & none & none \\
7 & 1994-1995 & klub sport & empress & none & none \\
8 & 1995-1996 & matchwinner & empress & none & none \\
9 & 1996-1997 & uk & endsleigh insurance & none & none \\
10 & 1997-1999 & errea & endsleigh insurance & none & none \\
11 & 1999-2004 & errea & towergate insurance & none & none \\
12 & 2004-2008 & errea & bence building merchants & none & none \\
13 & 2008- & errea & mira showers & none & none \\
14 & 2009-2011 & errea & mira showers & psu technology group & none \\
15 & 2011-2013 & errea & mira showers & barr stadia & gloucestershire echo \\
16 & 2013- & errea & mira showers & gloucestershire college & gloucestershire echo \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "year" ) \\
\midrule
0 & 14 \\
\bottomrule
\end{tabular}
| select count ( year ) where back of shirt sponsor = 'none' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>kit manufacturer</th>
<th>shirt sponsor</th>
<th>back of shirt sponsor</th>
<th>short sponsor</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1977-1978</td>
<td>none</td>
<td>national express</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1982-1985</td>
<td>umbro</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>1985-1986</td>
<td>umbro</td>
<td>whitbread</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>1986-1988</td>
<td>henson</td>
<td>duraflex</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>1988-1989</td>
<td>none</td>
<td>gulf oil</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>1991-1993</td>
<td>technik</td>
<td>gulf oil</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>1993-1994</td>
<td>club sport</td>
<td>gulf oil</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>1994-1995</td>
<td>klub sport</td>
<td>empress</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>1995-1996</td>
<td>matchwinner</td>
<td>empress</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>1996-1997</td>
<td>uk</td>
<td>endsleigh insurance</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>1997-1999</td>
<td>errea</td>
<td>endsleigh insurance</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>1999-2004</td>
<td>errea</td>
<td>towergate insurance</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>2004-2008</td>
<td>errea</td>
<td>bence building merchants</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>2008-</td>
<td>errea</td>
<td>mira showers</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>2009-2011</td>
<td>errea</td>
<td>mira showers</td>
<td>psu technology group</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>2011-2013</td>
<td>errea</td>
<td>mira showers</td>
<td>barr stadia</td>
<td>gloucestershire echo</td>
</tr>
<tr>
<th>16</th>
<td>2013-</td>
<td>errea</td>
<td>mira showers</td>
<td>gloucestershire college</td>
<td>gloucestershire echo</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "year" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>14</td>
</tr>
</tbody>
</table> | select count ( year ) where back of shirt sponsor = 'none' <table_name> : table | | year | kit manufacturer | shirt sponsor | back of shirt sponsor | short sponsor |
|---:|:----------|:-------------------|:-------------------------|:------------------------|:---------------------|
| 0 | 1977-1978 | none | national express | none | none |
| 1 | 1982-1985 | umbro | none | none | none |
| 2 | 1985-1986 | umbro | whitbread | none | none |
| 3 | 1986-1988 | henson | duraflex | none | none |
| 4 | 1988-1989 | none | gulf oil | none | none |
| 5 | 1991-1993 | technik | gulf oil | none | none |
| 6 | 1993-1994 | club sport | gulf oil | none | none |
| 7 | 1994-1995 | klub sport | empress | none | none |
| 8 | 1995-1996 | matchwinner | empress | none | none |
| 9 | 1996-1997 | uk | endsleigh insurance | none | none |
| 10 | 1997-1999 | errea | endsleigh insurance | none | none |
| 11 | 1999-2004 | errea | towergate insurance | none | none |
| 12 | 2004-2008 | errea | bence building merchants | none | none |
| 13 | 2008- | errea | mira showers | none | none |
| 14 | 2009-2011 | errea | mira showers | psu technology group | none |
| 15 | 2011-2013 | errea | mira showers | barr stadia | gloucestershire echo |
| 16 | 2013- | errea | mira showers | gloucestershire college | gloucestershire echo | | | | count ( "year" ) |
|---:|-------------------:|
| 0 | 14 | | [
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select term expires where term expires = 2013 col : name | profession | hometown | term expires | office row 1 : bill w. burgess jr | attorney | lawton | 2011 | none row 2 : ronald h. white, m.d | medical doctor | oklahoma city | 2012 | none row 3 : william stuart price | businessman | tulsa | 2013 | none row 4 : joseph l. parker jr | businessman | tulsa | 2014 | chair row 5 : julie carson | attorney | claremore | 2015 | vice chair row 6 : marlin "ike" glass | businessman | newkirk | 2016 | secretary row 7 : james d. "jimmy" harrel | banker | leedy | 2017 | assistant secretary row 8 : mike turpen | attorney | oklahoma city | 2018 | none row 9 : john massey | banker | durant | 2019 | none | col : term expires row 1 : 2013 | select term expires where term expires = 2013 <table_name> : table \begin{tabular}{llllll}
\toprule
& name & profession & hometown & term expires & office \\
\midrule
0 & bill w. burgess jr & attorney & lawton & 2011 & none \\
1 & ronald h. white, m.d & medical doctor & oklahoma city & 2012 & none \\
2 & william stuart price & businessman & tulsa & 2013 & none \\
3 & joseph l. parker jr & businessman & tulsa & 2014 & chair \\
4 & julie carson & attorney & claremore & 2015 & vice chair \\
5 & marlin "ike" glass & businessman & newkirk & 2016 & secretary \\
6 & james d. "jimmy" harrel & banker & leedy & 2017 & assistant secretary \\
7 & mike turpen & attorney & oklahoma city & 2018 & none \\
8 & john massey & banker & durant & 2019 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& term expires \\
\midrule
0 & 2013 \\
\bottomrule
\end{tabular}
| select term expires where term expires = 2013 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>profession</th>
<th>hometown</th>
<th>term expires</th>
<th>office</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>bill w. burgess jr</td>
<td>attorney</td>
<td>lawton</td>
<td>2011</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>ronald h. white, m.d</td>
<td>medical doctor</td>
<td>oklahoma city</td>
<td>2012</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>william stuart price</td>
<td>businessman</td>
<td>tulsa</td>
<td>2013</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>joseph l. parker jr</td>
<td>businessman</td>
<td>tulsa</td>
<td>2014</td>
<td>chair</td>
</tr>
<tr>
<th>4</th>
<td>julie carson</td>
<td>attorney</td>
<td>claremore</td>
<td>2015</td>
<td>vice chair</td>
</tr>
<tr>
<th>5</th>
<td>marlin "ike" glass</td>
<td>businessman</td>
<td>newkirk</td>
<td>2016</td>
<td>secretary</td>
</tr>
<tr>
<th>6</th>
<td>james d. "jimmy" harrel</td>
<td>banker</td>
<td>leedy</td>
<td>2017</td>
<td>assistant secretary</td>
</tr>
<tr>
<th>7</th>
<td>mike turpen</td>
<td>attorney</td>
<td>oklahoma city</td>
<td>2018</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>john massey</td>
<td>banker</td>
<td>durant</td>
<td>2019</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>term expires</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2013</td>
</tr>
</tbody>
</table> | select term expires where term expires = 2013 <table_name> : table | | name | profession | hometown | term expires | office |
|---:|:------------------------|:---------------|:--------------|---------------:|:--------------------|
| 0 | bill w. burgess jr | attorney | lawton | 2011 | none |
| 1 | ronald h. white, m.d | medical doctor | oklahoma city | 2012 | none |
| 2 | william stuart price | businessman | tulsa | 2013 | none |
| 3 | joseph l. parker jr | businessman | tulsa | 2014 | chair |
| 4 | julie carson | attorney | claremore | 2015 | vice chair |
| 5 | marlin "ike" glass | businessman | newkirk | 2016 | secretary |
| 6 | james d. "jimmy" harrel | banker | leedy | 2017 | assistant secretary |
| 7 | mike turpen | attorney | oklahoma city | 2018 | none |
| 8 | john massey | banker | durant | 2019 | none | | | | term expires |
|---:|---------------:|
| 0 | 2013 | | [
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select year where venue = 'kuala lumpur, malaysia' col : year | competition | venue | position | notes row 1 : 1997 | european u23 championships | turku, finland | 1st | 200 m row 2 : 1997 | world championships | athens, greece | 3rd | 4x100m relay row 3 : 1998 | european championships | budapest, hungary | 3rd | 200 metres row 4 : 1998 | european championships | budapest, hungary | 1st | 4x100m relay row 5 : 1998 | commonwealth games | kuala lumpur, malaysia | 1st | 200 metres row 6 : 1998 | commonwealth games | kuala lumpur, malaysia | 1st | 4x100m relay row 7 : 2000 | european indoor championships | ghent, belgium | 3rd | 200 metres | col : year row 1 : 1998 row 2 : 1998 | select year where venue = 'kuala lumpur, malaysia' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & competition & venue & position & notes \\
\midrule
0 & 1997 & european u23 championships & turku, finland & 1st & 200 m \\
1 & 1997 & world championships & athens, greece & 3rd & 4x100m relay \\
2 & 1998 & european championships & budapest, hungary & 3rd & 200 metres \\
3 & 1998 & european championships & budapest, hungary & 1st & 4x100m relay \\
4 & 1998 & commonwealth games & kuala lumpur, malaysia & 1st & 200 metres \\
5 & 1998 & commonwealth games & kuala lumpur, malaysia & 1st & 4x100m relay \\
6 & 2000 & european indoor championships & ghent, belgium & 3rd & 200 metres \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& year \\
\midrule
0 & 1998 \\
1 & 1998 \\
\bottomrule
\end{tabular}
| select year where venue = 'kuala lumpur, malaysia' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>competition</th>
<th>venue</th>
<th>position</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1997</td>
<td>european u23 championships</td>
<td>turku, finland</td>
<td>1st</td>
<td>200 m</td>
</tr>
<tr>
<th>1</th>
<td>1997</td>
<td>world championships</td>
<td>athens, greece</td>
<td>3rd</td>
<td>4x100m relay</td>
</tr>
<tr>
<th>2</th>
<td>1998</td>
<td>european championships</td>
<td>budapest, hungary</td>
<td>3rd</td>
<td>200 metres</td>
</tr>
<tr>
<th>3</th>
<td>1998</td>
<td>european championships</td>
<td>budapest, hungary</td>
<td>1st</td>
<td>4x100m relay</td>
</tr>
<tr>
<th>4</th>
<td>1998</td>
<td>commonwealth games</td>
<td>kuala lumpur, malaysia</td>
<td>1st</td>
<td>200 metres</td>
</tr>
<tr>
<th>5</th>
<td>1998</td>
<td>commonwealth games</td>
<td>kuala lumpur, malaysia</td>
<td>1st</td>
<td>4x100m relay</td>
</tr>
<tr>
<th>6</th>
<td>2000</td>
<td>european indoor championships</td>
<td>ghent, belgium</td>
<td>3rd</td>
<td>200 metres</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1998</td>
</tr>
<tr>
<th>1</th>
<td>1998</td>
</tr>
</tbody>
</table> | select year where venue = 'kuala lumpur, malaysia' <table_name> : table | | year | competition | venue | position | notes |
|---:|-------:|:------------------------------|:-----------------------|:-----------|:-------------|
| 0 | 1997 | european u23 championships | turku, finland | 1st | 200 m |
| 1 | 1997 | world championships | athens, greece | 3rd | 4x100m relay |
| 2 | 1998 | european championships | budapest, hungary | 3rd | 200 metres |
| 3 | 1998 | european championships | budapest, hungary | 1st | 4x100m relay |
| 4 | 1998 | commonwealth games | kuala lumpur, malaysia | 1st | 200 metres |
| 5 | 1998 | commonwealth games | kuala lumpur, malaysia | 1st | 4x100m relay |
| 6 | 2000 | european indoor championships | ghent, belgium | 3rd | 200 metres | | | | year |
|---:|-------:|
| 0 | 1998 |
| 1 | 1998 | | [
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select count ( section ) where level > 397 col : season | level | division | section | position | movements row 1 : 1985 | tier 4 | division 3 | norra norrland | 5th | none row 2 : 1986 | tier 4 | division 3 | norra norrland | 4th | promoted row 3 : 1987 | tier 3 | division 2 | norra | 5th | none row 4 : 1988 | tier 3 | division 2 | norra | 1st | promoted row 5 : 1989 | tier 2 | division 1 | norra | 3rd | none row 6 : 1990 | tier 2 | division 1 | norra | 6th | none row 7 : 1991 | tier 2 | division 1 | norra | 1st | spring row 8 : none | tier 2 | division 1 | kvalsvenskan | 8th | autumn row 9 : 1992 | tier 2 | division 1 | norra | 7th | spring row 10 : none | tier 2 | division 1 | norra | 8th | autumn - relegated row 11 : 1993 | tier 3 | division 2 | norrland | 1st | promoted row 12 : 1994 | tier 2 | division 1 | norra | 13th | relegated row 13 : 1995 | tier 3 | division 2 | norrland | 9th | none row 14 : 1996 | tier 3 | division 2 | norrland | 8th | none row 15 : 1997 | tier 3 | division 2 | norrland | 6th | none row 16 : 1998 | tier 3 | division 2 | norrland | 7th | none row 17 : 1999 | tier 3 | division 2 | norrland | 3rd | none row 18 : 2000 | tier 3 | division 2 | norrland | 8th | none row 19 : 2001 | tier 3 | division 2 | norrland | 10th | relegation playoffs row 20 : 2002 | tier 3 | division 2 | norrland | 10th | relegation playoffs row 21 : 2003 | tier 3 | division 2 | norrland | 10th | relegation playoffs row 22 : 2004 | tier 3 | division 2 | norrland | 7th | none row 23 : 2005 | tier 3 | division 2 | norrland | 4th | promoted row 24 : 2006 | tier 3 | division 1 | norra | 14th | relegated row 25 : 2007 | tier 4 | division 2 | norrland | 10th | relegation playoffs row 26 : 2008 | tier 4 | division 2 | norrland | 12th | relegated row 27 : 2009 | tier 5 | division 3 | norra norrland | 8th | none row 28 : 2010 | tier 5 | division 3 | norra norrland | 3rd | none row 29 : 2011 | tier 5 | division 3 | norra norrland | 2nd | promotion playoffs row 30 : 2012 | tier 5 | division 3 | norra norrland | 3rd | none | col : count ( "section" ) row 1 : 30 | select count ( section ) where level > 397 <table_name> : table \begin{tabular}{lllllll}
\toprule
& season & level & division & section & position & movements \\
\midrule
0 & 1985 & tier 4 & division 3 & norra norrland & 5th & none \\
1 & 1986 & tier 4 & division 3 & norra norrland & 4th & promoted \\
2 & 1987 & tier 3 & division 2 & norra & 5th & none \\
3 & 1988 & tier 3 & division 2 & norra & 1st & promoted \\
4 & 1989 & tier 2 & division 1 & norra & 3rd & none \\
5 & 1990 & tier 2 & division 1 & norra & 6th & none \\
6 & 1991 & tier 2 & division 1 & norra & 1st & spring \\
7 & none & tier 2 & division 1 & kvalsvenskan & 8th & autumn \\
8 & 1992 & tier 2 & division 1 & norra & 7th & spring \\
9 & none & tier 2 & division 1 & norra & 8th & autumn - relegated \\
10 & 1993 & tier 3 & division 2 & norrland & 1st & promoted \\
11 & 1994 & tier 2 & division 1 & norra & 13th & relegated \\
12 & 1995 & tier 3 & division 2 & norrland & 9th & none \\
13 & 1996 & tier 3 & division 2 & norrland & 8th & none \\
14 & 1997 & tier 3 & division 2 & norrland & 6th & none \\
15 & 1998 & tier 3 & division 2 & norrland & 7th & none \\
16 & 1999 & tier 3 & division 2 & norrland & 3rd & none \\
17 & 2000 & tier 3 & division 2 & norrland & 8th & none \\
18 & 2001 & tier 3 & division 2 & norrland & 10th & relegation playoffs \\
19 & 2002 & tier 3 & division 2 & norrland & 10th & relegation playoffs \\
20 & 2003 & tier 3 & division 2 & norrland & 10th & relegation playoffs \\
21 & 2004 & tier 3 & division 2 & norrland & 7th & none \\
22 & 2005 & tier 3 & division 2 & norrland & 4th & promoted \\
23 & 2006 & tier 3 & division 1 & norra & 14th & relegated \\
24 & 2007 & tier 4 & division 2 & norrland & 10th & relegation playoffs \\
25 & 2008 & tier 4 & division 2 & norrland & 12th & relegated \\
26 & 2009 & tier 5 & division 3 & norra norrland & 8th & none \\
27 & 2010 & tier 5 & division 3 & norra norrland & 3rd & none \\
28 & 2011 & tier 5 & division 3 & norra norrland & 2nd & promotion playoffs \\
29 & 2012 & tier 5 & division 3 & norra norrland & 3rd & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "section" ) \\
\midrule
0 & 30 \\
\bottomrule
\end{tabular}
| select count ( section ) where level > 397 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
<th>level</th>
<th>division</th>
<th>section</th>
<th>position</th>
<th>movements</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1985</td>
<td>tier 4</td>
<td>division 3</td>
<td>norra norrland</td>
<td>5th</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1986</td>
<td>tier 4</td>
<td>division 3</td>
<td>norra norrland</td>
<td>4th</td>
<td>promoted</td>
</tr>
<tr>
<th>2</th>
<td>1987</td>
<td>tier 3</td>
<td>division 2</td>
<td>norra</td>
<td>5th</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>1988</td>
<td>tier 3</td>
<td>division 2</td>
<td>norra</td>
<td>1st</td>
<td>promoted</td>
</tr>
<tr>
<th>4</th>
<td>1989</td>
<td>tier 2</td>
<td>division 1</td>
<td>norra</td>
<td>3rd</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>1990</td>
<td>tier 2</td>
<td>division 1</td>
<td>norra</td>
<td>6th</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>1991</td>
<td>tier 2</td>
<td>division 1</td>
<td>norra</td>
<td>1st</td>
<td>spring</td>
</tr>
<tr>
<th>7</th>
<td>none</td>
<td>tier 2</td>
<td>division 1</td>
<td>kvalsvenskan</td>
<td>8th</td>
<td>autumn</td>
</tr>
<tr>
<th>8</th>
<td>1992</td>
<td>tier 2</td>
<td>division 1</td>
<td>norra</td>
<td>7th</td>
<td>spring</td>
</tr>
<tr>
<th>9</th>
<td>none</td>
<td>tier 2</td>
<td>division 1</td>
<td>norra</td>
<td>8th</td>
<td>autumn - relegated</td>
</tr>
<tr>
<th>10</th>
<td>1993</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>1st</td>
<td>promoted</td>
</tr>
<tr>
<th>11</th>
<td>1994</td>
<td>tier 2</td>
<td>division 1</td>
<td>norra</td>
<td>13th</td>
<td>relegated</td>
</tr>
<tr>
<th>12</th>
<td>1995</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>9th</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>1996</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>8th</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>1997</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>6th</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>1998</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>7th</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>1999</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>3rd</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>2000</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>8th</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>2001</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>10th</td>
<td>relegation playoffs</td>
</tr>
<tr>
<th>19</th>
<td>2002</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>10th</td>
<td>relegation playoffs</td>
</tr>
<tr>
<th>20</th>
<td>2003</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>10th</td>
<td>relegation playoffs</td>
</tr>
<tr>
<th>21</th>
<td>2004</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>7th</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>2005</td>
<td>tier 3</td>
<td>division 2</td>
<td>norrland</td>
<td>4th</td>
<td>promoted</td>
</tr>
<tr>
<th>23</th>
<td>2006</td>
<td>tier 3</td>
<td>division 1</td>
<td>norra</td>
<td>14th</td>
<td>relegated</td>
</tr>
<tr>
<th>24</th>
<td>2007</td>
<td>tier 4</td>
<td>division 2</td>
<td>norrland</td>
<td>10th</td>
<td>relegation playoffs</td>
</tr>
<tr>
<th>25</th>
<td>2008</td>
<td>tier 4</td>
<td>division 2</td>
<td>norrland</td>
<td>12th</td>
<td>relegated</td>
</tr>
<tr>
<th>26</th>
<td>2009</td>
<td>tier 5</td>
<td>division 3</td>
<td>norra norrland</td>
<td>8th</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>2010</td>
<td>tier 5</td>
<td>division 3</td>
<td>norra norrland</td>
<td>3rd</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>2011</td>
<td>tier 5</td>
<td>division 3</td>
<td>norra norrland</td>
<td>2nd</td>
<td>promotion playoffs</td>
</tr>
<tr>
<th>29</th>
<td>2012</td>
<td>tier 5</td>
<td>division 3</td>
<td>norra norrland</td>
<td>3rd</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "section" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>30</td>
</tr>
</tbody>
</table> | select count ( section ) where level > 397 <table_name> : table | | season | level | division | section | position | movements |
|---:|:---------|:--------|:-----------|:---------------|:-----------|:--------------------|
| 0 | 1985 | tier 4 | division 3 | norra norrland | 5th | none |
| 1 | 1986 | tier 4 | division 3 | norra norrland | 4th | promoted |
| 2 | 1987 | tier 3 | division 2 | norra | 5th | none |
| 3 | 1988 | tier 3 | division 2 | norra | 1st | promoted |
| 4 | 1989 | tier 2 | division 1 | norra | 3rd | none |
| 5 | 1990 | tier 2 | division 1 | norra | 6th | none |
| 6 | 1991 | tier 2 | division 1 | norra | 1st | spring |
| 7 | none | tier 2 | division 1 | kvalsvenskan | 8th | autumn |
| 8 | 1992 | tier 2 | division 1 | norra | 7th | spring |
| 9 | none | tier 2 | division 1 | norra | 8th | autumn - relegated |
| 10 | 1993 | tier 3 | division 2 | norrland | 1st | promoted |
| 11 | 1994 | tier 2 | division 1 | norra | 13th | relegated |
| 12 | 1995 | tier 3 | division 2 | norrland | 9th | none |
| 13 | 1996 | tier 3 | division 2 | norrland | 8th | none |
| 14 | 1997 | tier 3 | division 2 | norrland | 6th | none |
| 15 | 1998 | tier 3 | division 2 | norrland | 7th | none |
| 16 | 1999 | tier 3 | division 2 | norrland | 3rd | none |
| 17 | 2000 | tier 3 | division 2 | norrland | 8th | none |
| 18 | 2001 | tier 3 | division 2 | norrland | 10th | relegation playoffs |
| 19 | 2002 | tier 3 | division 2 | norrland | 10th | relegation playoffs |
| 20 | 2003 | tier 3 | division 2 | norrland | 10th | relegation playoffs |
| 21 | 2004 | tier 3 | division 2 | norrland | 7th | none |
| 22 | 2005 | tier 3 | division 2 | norrland | 4th | promoted |
| 23 | 2006 | tier 3 | division 1 | norra | 14th | relegated |
| 24 | 2007 | tier 4 | division 2 | norrland | 10th | relegation playoffs |
| 25 | 2008 | tier 4 | division 2 | norrland | 12th | relegated |
| 26 | 2009 | tier 5 | division 3 | norra norrland | 8th | none |
| 27 | 2010 | tier 5 | division 3 | norra norrland | 3rd | none |
| 28 | 2011 | tier 5 | division 3 | norra norrland | 2nd | promotion playoffs |
| 29 | 2012 | tier 5 | division 3 | norra norrland | 3rd | none | | | | count ( "section" ) |
|---:|----------------------:|
| 0 | 30 | | [
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] |
select premiere where finale = '8 june 2013' col : series | premiere | finale | winner | runner-up | third place | host(s) | judging panel | guest judge(s) row 1 : one | 9 june 2007 | 17 june 2007 | paul potts | damon scott | connie talbot | ant & dec | simon cowell amanda holden piers morgan | none row 2 : two | 12 april 2008 | 31 may 2008 | george sampson | signature | andrew johnston | ant & dec | simon cowell amanda holden piers morgan | none row 3 : three | 11 april 2009 | 30 may 2009 | diversity | susan boyle | julian smith | ant & dec | simon cowell amanda holden piers morgan | kelly brook row 4 : four | 17 april 2010 | 5 june 2010 | spelbound | twist and pulse | kieran gaffney | ant & dec | simon cowell amanda holden piers morgan | louis walsh row 5 : five | 16 april 2011 | 4 june 2011 | jai mcdowall | ronan parke | new bounce | ant & dec | simon cowell amanda holden david hasselhoff michael mcintyre | louis walsh row 6 : six | 24 march 2012 | 12 may 2012 | ashleigh and pudsey | jonathan and charlotte | only boys aloud | ant & dec | simon cowell amanda holden alesha dixon david walliams | carmen electra row 7 : seven | 13 april 2013 | 8 june 2013 | attraction | jack carroll | richard & adam | ant & dec | simon cowell amanda holden alesha dixon david walliams | none row 8 : eight | 12 april 2014 | 31 may 2014 | none | none | none | ant & dec | simon cowell amanda holden alesha dixon david walliams | ant & dec row 9 : nine | 2015 | 2015 | none | none | none | ant & dec | none | none | col : premiere row 1 : 13 april 2013 | select premiere where finale = '8 june 2013' <table_name> : table \begin{tabular}{llllllllll}
\toprule
& series & premiere & finale & winner & runner-up & third place & host(s) & judging panel & guest judge(s) \\
\midrule
0 & one & 9 june 2007 & 17 june 2007 & paul potts & damon scott & connie talbot & ant & dec & simon cowell amanda holden piers morgan & none \\
1 & two & 12 april 2008 & 31 may 2008 & george sampson & signature & andrew johnston & ant & dec & simon cowell amanda holden piers morgan & none \\
2 & three & 11 april 2009 & 30 may 2009 & diversity & susan boyle & julian smith & ant & dec & simon cowell amanda holden piers morgan & kelly brook \\
3 & four & 17 april 2010 & 5 june 2010 & spelbound & twist and pulse & kieran gaffney & ant & dec & simon cowell amanda holden piers morgan & louis walsh \\
4 & five & 16 april 2011 & 4 june 2011 & jai mcdowall & ronan parke & new bounce & ant & dec & simon cowell amanda holden david hasselhoff michael mcintyre & louis walsh \\
5 & six & 24 march 2012 & 12 may 2012 & ashleigh and pudsey & jonathan and charlotte & only boys aloud & ant & dec & simon cowell amanda holden alesha dixon david walliams & carmen electra \\
6 & seven & 13 april 2013 & 8 june 2013 & attraction & jack carroll & richard & adam & ant & dec & simon cowell amanda holden alesha dixon david walliams & none \\
7 & eight & 12 april 2014 & 31 may 2014 & none & none & none & ant & dec & simon cowell amanda holden alesha dixon david walliams & ant & dec \\
8 & nine & 2015 & 2015 & none & none & none & ant & dec & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& premiere \\
\midrule
0 & 13 april 2013 \\
\bottomrule
\end{tabular}
| select premiere where finale = '8 june 2013' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>series</th>
<th>premiere</th>
<th>finale</th>
<th>winner</th>
<th>runner-up</th>
<th>third place</th>
<th>host(s)</th>
<th>judging panel</th>
<th>guest judge(s)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>one</td>
<td>9 june 2007</td>
<td>17 june 2007</td>
<td>paul potts</td>
<td>damon scott</td>
<td>connie talbot</td>
<td>ant & dec</td>
<td>simon cowell amanda holden piers morgan</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>two</td>
<td>12 april 2008</td>
<td>31 may 2008</td>
<td>george sampson</td>
<td>signature</td>
<td>andrew johnston</td>
<td>ant & dec</td>
<td>simon cowell amanda holden piers morgan</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>three</td>
<td>11 april 2009</td>
<td>30 may 2009</td>
<td>diversity</td>
<td>susan boyle</td>
<td>julian smith</td>
<td>ant & dec</td>
<td>simon cowell amanda holden piers morgan</td>
<td>kelly brook</td>
</tr>
<tr>
<th>3</th>
<td>four</td>
<td>17 april 2010</td>
<td>5 june 2010</td>
<td>spelbound</td>
<td>twist and pulse</td>
<td>kieran gaffney</td>
<td>ant & dec</td>
<td>simon cowell amanda holden piers morgan</td>
<td>louis walsh</td>
</tr>
<tr>
<th>4</th>
<td>five</td>
<td>16 april 2011</td>
<td>4 june 2011</td>
<td>jai mcdowall</td>
<td>ronan parke</td>
<td>new bounce</td>
<td>ant & dec</td>
<td>simon cowell amanda holden david hasselhoff michael mcintyre</td>
<td>louis walsh</td>
</tr>
<tr>
<th>5</th>
<td>six</td>
<td>24 march 2012</td>
<td>12 may 2012</td>
<td>ashleigh and pudsey</td>
<td>jonathan and charlotte</td>
<td>only boys aloud</td>
<td>ant & dec</td>
<td>simon cowell amanda holden alesha dixon david walliams</td>
<td>carmen electra</td>
</tr>
<tr>
<th>6</th>
<td>seven</td>
<td>13 april 2013</td>
<td>8 june 2013</td>
<td>attraction</td>
<td>jack carroll</td>
<td>richard & adam</td>
<td>ant & dec</td>
<td>simon cowell amanda holden alesha dixon david walliams</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>eight</td>
<td>12 april 2014</td>
<td>31 may 2014</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>ant & dec</td>
<td>simon cowell amanda holden alesha dixon david walliams</td>
<td>ant & dec</td>
</tr>
<tr>
<th>8</th>
<td>nine</td>
<td>2015</td>
<td>2015</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>ant & dec</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>premiere</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>13 april 2013</td>
</tr>
</tbody>
</table> | select premiere where finale = '8 june 2013' <table_name> : table | | series | premiere | finale | winner | runner-up | third place | host(s) | judging panel | guest judge(s) |
|---:|:---------|:--------------|:-------------|:--------------------|:-----------------------|:----------------|:----------|:-------------------------------------------------------------|:-----------------|
| 0 | one | 9 june 2007 | 17 june 2007 | paul potts | damon scott | connie talbot | ant & dec | simon cowell amanda holden piers morgan | none |
| 1 | two | 12 april 2008 | 31 may 2008 | george sampson | signature | andrew johnston | ant & dec | simon cowell amanda holden piers morgan | none |
| 2 | three | 11 april 2009 | 30 may 2009 | diversity | susan boyle | julian smith | ant & dec | simon cowell amanda holden piers morgan | kelly brook |
| 3 | four | 17 april 2010 | 5 june 2010 | spelbound | twist and pulse | kieran gaffney | ant & dec | simon cowell amanda holden piers morgan | louis walsh |
| 4 | five | 16 april 2011 | 4 june 2011 | jai mcdowall | ronan parke | new bounce | ant & dec | simon cowell amanda holden david hasselhoff michael mcintyre | louis walsh |
| 5 | six | 24 march 2012 | 12 may 2012 | ashleigh and pudsey | jonathan and charlotte | only boys aloud | ant & dec | simon cowell amanda holden alesha dixon david walliams | carmen electra |
| 6 | seven | 13 april 2013 | 8 june 2013 | attraction | jack carroll | richard & adam | ant & dec | simon cowell amanda holden alesha dixon david walliams | none |
| 7 | eight | 12 april 2014 | 31 may 2014 | none | none | none | ant & dec | simon cowell amanda holden alesha dixon david walliams | ant & dec |
| 8 | nine | 2015 | 2015 | none | none | none | ant & dec | none | none | | | | premiere |
|---:|:--------------|
| 0 | 13 april 2013 | | [
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select count ( artist ) where album = 'trax mini album volume up' col : year | album | song | duration | artist row 1 : 2010 | trax mini album volume up | "healing" | none | with trax row 2 : 2010 | oh! | "boys & girls" | none | with girls' generation row 3 : 2010 | 1st asia tour "into the new world" | "barbie girl" | none | duet with jessica row 4 : 2012 | history of salary man ost | "bravo" | 03:12 | duet with leeteuk row 5 : 2012 | one dream (single) | "one dream" | 02:29 | with boa & henry row 6 : 2012 | mama | "two moons" | 02:59 | with exo row 7 : 2012 | only one | "one dream" | 02:29 | with boa & henry row 8 : 2014 | toheart | "delicious" | none | duet with woohyun from infinite | col : count ( "artist" ) row 1 : 1 | select count ( artist ) where album = 'trax mini album volume up' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & album & song & duration & artist \\
\midrule
0 & 2010 & trax mini album volume up & "healing" & none & with trax \\
1 & 2010 & oh! & "boys & girls" & none & with girls' generation \\
2 & 2010 & 1st asia tour "into the new world" & "barbie girl" & none & duet with jessica \\
3 & 2012 & history of salary man ost & "bravo" & 03:12 & duet with leeteuk \\
4 & 2012 & one dream (single) & "one dream" & 02:29 & with boa & henry \\
5 & 2012 & mama & "two moons" & 02:59 & with exo \\
6 & 2012 & only one & "one dream" & 02:29 & with boa & henry \\
7 & 2014 & toheart & "delicious" & none & duet with woohyun from infinite \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "artist" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( artist ) where album = 'trax mini album volume up' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>album</th>
<th>song</th>
<th>duration</th>
<th>artist</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2010</td>
<td>trax mini album volume up</td>
<td>"healing"</td>
<td>none</td>
<td>with trax</td>
</tr>
<tr>
<th>1</th>
<td>2010</td>
<td>oh!</td>
<td>"boys & girls"</td>
<td>none</td>
<td>with girls' generation</td>
</tr>
<tr>
<th>2</th>
<td>2010</td>
<td>1st asia tour "into the new world"</td>
<td>"barbie girl"</td>
<td>none</td>
<td>duet with jessica</td>
</tr>
<tr>
<th>3</th>
<td>2012</td>
<td>history of salary man ost</td>
<td>"bravo"</td>
<td>03:12</td>
<td>duet with leeteuk</td>
</tr>
<tr>
<th>4</th>
<td>2012</td>
<td>one dream (single)</td>
<td>"one dream"</td>
<td>02:29</td>
<td>with boa & henry</td>
</tr>
<tr>
<th>5</th>
<td>2012</td>
<td>mama</td>
<td>"two moons"</td>
<td>02:59</td>
<td>with exo</td>
</tr>
<tr>
<th>6</th>
<td>2012</td>
<td>only one</td>
<td>"one dream"</td>
<td>02:29</td>
<td>with boa & henry</td>
</tr>
<tr>
<th>7</th>
<td>2014</td>
<td>toheart</td>
<td>"delicious"</td>
<td>none</td>
<td>duet with woohyun from infinite</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "artist" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( artist ) where album = 'trax mini album volume up' <table_name> : table | | year | album | song | duration | artist |
|---:|-------:|:-----------------------------------|:---------------|:-----------|:--------------------------------|
| 0 | 2010 | trax mini album volume up | "healing" | none | with trax |
| 1 | 2010 | oh! | "boys & girls" | none | with girls' generation |
| 2 | 2010 | 1st asia tour "into the new world" | "barbie girl" | none | duet with jessica |
| 3 | 2012 | history of salary man ost | "bravo" | 03:12 | duet with leeteuk |
| 4 | 2012 | one dream (single) | "one dream" | 02:29 | with boa & henry |
| 5 | 2012 | mama | "two moons" | 02:59 | with exo |
| 6 | 2012 | only one | "one dream" | 02:29 | with boa & henry |
| 7 | 2014 | toheart | "delicious" | none | duet with woohyun from infinite | | | | count ( "artist" ) |
|---:|---------------------:|
| 0 | 1 | | [
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select gold where npc = 'australia (aus)' order by silver desc limit 1 col : rank | npc | gold | silver | bronze | total row 1 : 1 | china (chn) | 95 | 71 | 65 | 231 row 2 : 2 | russia (rus) | 36 | 38 | 28 | 102 row 3 : 3 | great britain (gbr) | 34 | 43 | 43 | 120 row 4 : 4 | ukraine (ukr) | 32 | 24 | 28 | 84 row 5 : 5 | australia (aus) | 32 | 23 | 30 | 85 row 6 : 6 | united states (usa) | 31 | 29 | 38 | 98 row 7 : 7 | brazil (bra) | 21 | 14 | 8 | 43 row 8 : 8 | germany (ger) | 18 | 26 | 22 | 66 row 9 : 9 | poland (pol) | 14 | 13 | 9 | 36 row 10 : 10 | netherlands (ned) | 10 | 10 | 19 | 39 row 11 : total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522 | col : gold row 1 : 32 | select gold where npc = 'australia (aus)' order by silver desc limit 1 <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & npc & gold & silver & bronze & total \\
\midrule
0 & 1 & china (chn) & 95 & 71 & 65 & 231 \\
1 & 2 & russia (rus) & 36 & 38 & 28 & 102 \\
2 & 3 & great britain (gbr) & 34 & 43 & 43 & 120 \\
3 & 4 & ukraine (ukr) & 32 & 24 & 28 & 84 \\
4 & 5 & australia (aus) & 32 & 23 & 30 & 85 \\
5 & 6 & united states (usa) & 31 & 29 & 38 & 98 \\
6 & 7 & brazil (bra) & 21 & 14 & 8 & 43 \\
7 & 8 & germany (ger) & 18 & 26 & 22 & 66 \\
8 & 9 & poland (pol) & 14 & 13 & 9 & 36 \\
9 & 10 & netherlands (ned) & 10 & 10 & 19 & 39 \\
10 & total (75 npcs) & total (75 npcs) & 503 & 503 & 516 & 1522 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& gold \\
\midrule
0 & 32 \\
\bottomrule
\end{tabular}
| select gold where npc = 'australia (aus)' order by silver desc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>npc</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>china (chn)</td>
<td>95</td>
<td>71</td>
<td>65</td>
<td>231</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>russia (rus)</td>
<td>36</td>
<td>38</td>
<td>28</td>
<td>102</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>great britain (gbr)</td>
<td>34</td>
<td>43</td>
<td>43</td>
<td>120</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>ukraine (ukr)</td>
<td>32</td>
<td>24</td>
<td>28</td>
<td>84</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>australia (aus)</td>
<td>32</td>
<td>23</td>
<td>30</td>
<td>85</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>united states (usa)</td>
<td>31</td>
<td>29</td>
<td>38</td>
<td>98</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>brazil (bra)</td>
<td>21</td>
<td>14</td>
<td>8</td>
<td>43</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>germany (ger)</td>
<td>18</td>
<td>26</td>
<td>22</td>
<td>66</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>poland (pol)</td>
<td>14</td>
<td>13</td>
<td>9</td>
<td>36</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>netherlands (ned)</td>
<td>10</td>
<td>10</td>
<td>19</td>
<td>39</td>
</tr>
<tr>
<th>10</th>
<td>total (75 npcs)</td>
<td>total (75 npcs)</td>
<td>503</td>
<td>503</td>
<td>516</td>
<td>1522</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>gold</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>32</td>
</tr>
</tbody>
</table> | select gold where npc = 'australia (aus)' order by silver desc limit 1 <table_name> : table | | rank | npc | gold | silver | bronze | total |
|---:|:----------------|:--------------------|-------:|---------:|---------:|--------:|
| 0 | 1 | china (chn) | 95 | 71 | 65 | 231 |
| 1 | 2 | russia (rus) | 36 | 38 | 28 | 102 |
| 2 | 3 | great britain (gbr) | 34 | 43 | 43 | 120 |
| 3 | 4 | ukraine (ukr) | 32 | 24 | 28 | 84 |
| 4 | 5 | australia (aus) | 32 | 23 | 30 | 85 |
| 5 | 6 | united states (usa) | 31 | 29 | 38 | 98 |
| 6 | 7 | brazil (bra) | 21 | 14 | 8 | 43 |
| 7 | 8 | germany (ger) | 18 | 26 | 22 | 66 |
| 8 | 9 | poland (pol) | 14 | 13 | 9 | 36 |
| 9 | 10 | netherlands (ned) | 10 | 10 | 19 | 39 |
| 10 | total (75 npcs) | total (75 npcs) | 503 | 503 | 516 | 1522 | | | | gold |
|---:|-------:|
| 0 | 32 | | [
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select rank where nation = 'denmark' col : rank | nation | gold | silver | bronze | total row 1 : 1 | south korea | 9 | 2 | 1 | 12 row 2 : 2 | chinese taipei | 2 | 3 | 3 | 8 row 3 : 3 | spain | 1 | 5 | 4 | 10 row 4 : 4 | united states | 1 | 2 | 7 | 10 row 5 : 5 | turkey | 1 | 1 | 2 | 4 row 6 : 6 | west germany | 1 | 0 | 3 | 4 row 7 : 7 | netherlands | 1 | 0 | 1 | 2 row 8 : 8 | mexico | 0 | 2 | 1 | 3 row 9 : 9 | indonesia | 0 | 1 | 0 | 1 row 10 : 10 | france | 0 | 0 | 2 | 2 row 11 : 11 | australia | 0 | 0 | 1 | 1 row 12 : 11 | canada | 0 | 0 | 1 | 1 row 13 : 11 | ivory coast | 0 | 0 | 1 | 1 row 14 : 11 | denmark | 0 | 0 | 1 | 1 row 15 : 11 | italy | 0 | 0 | 1 | 1 row 16 : 11 | jordan | 0 | 0 | 1 | 1 row 17 : 11 | nepal | 0 | 0 | 1 | 1 row 18 : 11 | switzerland | 0 | 0 | 1 | 1 row 19 : total | total | 16 | 16 | 32 | 64 | col : rank row 1 : 11 | select rank where nation = 'denmark' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & south korea & 9 & 2 & 1 & 12 \\
1 & 2 & chinese taipei & 2 & 3 & 3 & 8 \\
2 & 3 & spain & 1 & 5 & 4 & 10 \\
3 & 4 & united states & 1 & 2 & 7 & 10 \\
4 & 5 & turkey & 1 & 1 & 2 & 4 \\
5 & 6 & west germany & 1 & 0 & 3 & 4 \\
6 & 7 & netherlands & 1 & 0 & 1 & 2 \\
7 & 8 & mexico & 0 & 2 & 1 & 3 \\
8 & 9 & indonesia & 0 & 1 & 0 & 1 \\
9 & 10 & france & 0 & 0 & 2 & 2 \\
10 & 11 & australia & 0 & 0 & 1 & 1 \\
11 & 11 & canada & 0 & 0 & 1 & 1 \\
12 & 11 & ivory coast & 0 & 0 & 1 & 1 \\
13 & 11 & denmark & 0 & 0 & 1 & 1 \\
14 & 11 & italy & 0 & 0 & 1 & 1 \\
15 & 11 & jordan & 0 & 0 & 1 & 1 \\
16 & 11 & nepal & 0 & 0 & 1 & 1 \\
17 & 11 & switzerland & 0 & 0 & 1 & 1 \\
18 & total & total & 16 & 16 & 32 & 64 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& rank \\
\midrule
0 & 11 \\
\bottomrule
\end{tabular}
| select rank where nation = 'denmark' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>nation</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>south korea</td>
<td>9</td>
<td>2</td>
<td>1</td>
<td>12</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>chinese taipei</td>
<td>2</td>
<td>3</td>
<td>3</td>
<td>8</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>spain</td>
<td>1</td>
<td>5</td>
<td>4</td>
<td>10</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>united states</td>
<td>1</td>
<td>2</td>
<td>7</td>
<td>10</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>turkey</td>
<td>1</td>
<td>1</td>
<td>2</td>
<td>4</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>west germany</td>
<td>1</td>
<td>0</td>
<td>3</td>
<td>4</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>netherlands</td>
<td>1</td>
<td>0</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>mexico</td>
<td>0</td>
<td>2</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>indonesia</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>france</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>2</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>australia</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>11</th>
<td>11</td>
<td>canada</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>11</td>
<td>ivory coast</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>13</th>
<td>11</td>
<td>denmark</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>14</th>
<td>11</td>
<td>italy</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>15</th>
<td>11</td>
<td>jordan</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>16</th>
<td>11</td>
<td>nepal</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>17</th>
<td>11</td>
<td>switzerland</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>18</th>
<td>total</td>
<td>total</td>
<td>16</td>
<td>16</td>
<td>32</td>
<td>64</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>11</td>
</tr>
</tbody>
</table> | select rank where nation = 'denmark' <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|:-------|:---------------|-------:|---------:|---------:|--------:|
| 0 | 1 | south korea | 9 | 2 | 1 | 12 |
| 1 | 2 | chinese taipei | 2 | 3 | 3 | 8 |
| 2 | 3 | spain | 1 | 5 | 4 | 10 |
| 3 | 4 | united states | 1 | 2 | 7 | 10 |
| 4 | 5 | turkey | 1 | 1 | 2 | 4 |
| 5 | 6 | west germany | 1 | 0 | 3 | 4 |
| 6 | 7 | netherlands | 1 | 0 | 1 | 2 |
| 7 | 8 | mexico | 0 | 2 | 1 | 3 |
| 8 | 9 | indonesia | 0 | 1 | 0 | 1 |
| 9 | 10 | france | 0 | 0 | 2 | 2 |
| 10 | 11 | australia | 0 | 0 | 1 | 1 |
| 11 | 11 | canada | 0 | 0 | 1 | 1 |
| 12 | 11 | ivory coast | 0 | 0 | 1 | 1 |
| 13 | 11 | denmark | 0 | 0 | 1 | 1 |
| 14 | 11 | italy | 0 | 0 | 1 | 1 |
| 15 | 11 | jordan | 0 | 0 | 1 | 1 |
| 16 | 11 | nepal | 0 | 0 | 1 | 1 |
| 17 | 11 | switzerland | 0 | 0 | 1 | 1 |
| 18 | total | total | 16 | 16 | 32 | 64 | | | | rank |
|---:|-------:|
| 0 | 11 | | [
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select round - time where method = 'ko' col : result | record | opponent | method | date | round | time | event | location | notes row 1 : win | 14-1 | ted lascalza | ko | 1958-01-01 00:00:00 | 1 | none | none | none | none row 2 : win | none | nick welling | ko | 1953-07-20 00:00:00 | 2 | none | none | none | none row 3 : win | none | earl garrett | ko | 1950-01-01 00:00:00 | 1 | none | golden gloves | new jersey | scheider suffers nose injury; drops out of tournament row 4 : win | none | peter read | ko | 1950-01-01 00:00:00 | 3 | none | none | new jersey | none row 5 : win | none | phillip duncan | ko | 1950-02-17 00:00:00 | 1 | none | none | orange, new jersey | none row 6 : win | none | myron greenberg | ko | 1950-01-01 00:00:00 | 1 | none | none | new jersey | none row 7 : win | none | peter read | ko | 1948-02-21 00:00:00 | 2 | none | golden gloves | new jersey | none row 8 : win | none | jerry gould | ko | 1948-01-01 00:00:00 | 1 | 0:33 | golden gloves | new jersey | none row 9 : win | none | alfonse d'amore | ko | 1948-01-01 00:00:00 | 1 | 0:16 | golden gloves | new jersey | none row 10 : loss | 0-1 | myron greenberg | tko | 1947-03-05 00:00:00 | 2 | none | golden gloves | new jersey | scheider's nose is broken | col : "round - time" row 1 : round - time row 2 : round - time row 3 : round - time row 4 : round - time row 5 : round - time row 6 : round - time row 7 : round - time row 8 : round - time row 9 : round - time | select round - time where method = 'ko' <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& result & record & opponent & method & date & round & time & event & location & notes \\
\midrule
0 & win & 14-1 & ted lascalza & ko & 1958-01-01 00:00:00 & 1 & none & none & none & none \\
1 & win & none & nick welling & ko & 1953-07-20 00:00:00 & 2 & none & none & none & none \\
2 & win & none & earl garrett & ko & 1950-01-01 00:00:00 & 1 & none & golden gloves & new jersey & scheider suffers nose injury; drops out of tournament \\
3 & win & none & peter read & ko & 1950-01-01 00:00:00 & 3 & none & none & new jersey & none \\
4 & win & none & phillip duncan & ko & 1950-02-17 00:00:00 & 1 & none & none & orange, new jersey & none \\
5 & win & none & myron greenberg & ko & 1950-01-01 00:00:00 & 1 & none & none & new jersey & none \\
6 & win & none & peter read & ko & 1948-02-21 00:00:00 & 2 & none & golden gloves & new jersey & none \\
7 & win & none & jerry gould & ko & 1948-01-01 00:00:00 & 1 & 0:33 & golden gloves & new jersey & none \\
8 & win & none & alfonse d'amore & ko & 1948-01-01 00:00:00 & 1 & 0:16 & golden gloves & new jersey & none \\
9 & loss & 0-1 & myron greenberg & tko & 1947-03-05 00:00:00 & 2 & none & golden gloves & new jersey & scheider's nose is broken \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "round - time" \\
\midrule
0 & round - time \\
1 & round - time \\
2 & round - time \\
3 & round - time \\
4 & round - time \\
5 & round - time \\
6 & round - time \\
7 & round - time \\
8 & round - time \\
\bottomrule
\end{tabular}
| select round - time where method = 'ko' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>result</th>
<th>record</th>
<th>opponent</th>
<th>method</th>
<th>date</th>
<th>round</th>
<th>time</th>
<th>event</th>
<th>location</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>win</td>
<td>14-1</td>
<td>ted lascalza</td>
<td>ko</td>
<td>1958-01-01 00:00:00</td>
<td>1</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>win</td>
<td>none</td>
<td>nick welling</td>
<td>ko</td>
<td>1953-07-20 00:00:00</td>
<td>2</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>win</td>
<td>none</td>
<td>earl garrett</td>
<td>ko</td>
<td>1950-01-01 00:00:00</td>
<td>1</td>
<td>none</td>
<td>golden gloves</td>
<td>new jersey</td>
<td>scheider suffers nose injury; drops out of tournament</td>
</tr>
<tr>
<th>3</th>
<td>win</td>
<td>none</td>
<td>peter read</td>
<td>ko</td>
<td>1950-01-01 00:00:00</td>
<td>3</td>
<td>none</td>
<td>none</td>
<td>new jersey</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>win</td>
<td>none</td>
<td>phillip duncan</td>
<td>ko</td>
<td>1950-02-17 00:00:00</td>
<td>1</td>
<td>none</td>
<td>none</td>
<td>orange, new jersey</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>win</td>
<td>none</td>
<td>myron greenberg</td>
<td>ko</td>
<td>1950-01-01 00:00:00</td>
<td>1</td>
<td>none</td>
<td>none</td>
<td>new jersey</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>win</td>
<td>none</td>
<td>peter read</td>
<td>ko</td>
<td>1948-02-21 00:00:00</td>
<td>2</td>
<td>none</td>
<td>golden gloves</td>
<td>new jersey</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>win</td>
<td>none</td>
<td>jerry gould</td>
<td>ko</td>
<td>1948-01-01 00:00:00</td>
<td>1</td>
<td>0:33</td>
<td>golden gloves</td>
<td>new jersey</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>win</td>
<td>none</td>
<td>alfonse d'amore</td>
<td>ko</td>
<td>1948-01-01 00:00:00</td>
<td>1</td>
<td>0:16</td>
<td>golden gloves</td>
<td>new jersey</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>loss</td>
<td>0-1</td>
<td>myron greenberg</td>
<td>tko</td>
<td>1947-03-05 00:00:00</td>
<td>2</td>
<td>none</td>
<td>golden gloves</td>
<td>new jersey</td>
<td>scheider's nose is broken</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"round - time"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>round - time</td>
</tr>
<tr>
<th>1</th>
<td>round - time</td>
</tr>
<tr>
<th>2</th>
<td>round - time</td>
</tr>
<tr>
<th>3</th>
<td>round - time</td>
</tr>
<tr>
<th>4</th>
<td>round - time</td>
</tr>
<tr>
<th>5</th>
<td>round - time</td>
</tr>
<tr>
<th>6</th>
<td>round - time</td>
</tr>
<tr>
<th>7</th>
<td>round - time</td>
</tr>
<tr>
<th>8</th>
<td>round - time</td>
</tr>
</tbody>
</table> | select round - time where method = 'ko' <table_name> : table | | result | record | opponent | method | date | round | time | event | location | notes |
|---:|:---------|:---------|:----------------|:---------|:--------------------|--------:|:-------|:--------------|:-------------------|:------------------------------------------------------|
| 0 | win | 14-1 | ted lascalza | ko | 1958-01-01 00:00:00 | 1 | none | none | none | none |
| 1 | win | none | nick welling | ko | 1953-07-20 00:00:00 | 2 | none | none | none | none |
| 2 | win | none | earl garrett | ko | 1950-01-01 00:00:00 | 1 | none | golden gloves | new jersey | scheider suffers nose injury; drops out of tournament |
| 3 | win | none | peter read | ko | 1950-01-01 00:00:00 | 3 | none | none | new jersey | none |
| 4 | win | none | phillip duncan | ko | 1950-02-17 00:00:00 | 1 | none | none | orange, new jersey | none |
| 5 | win | none | myron greenberg | ko | 1950-01-01 00:00:00 | 1 | none | none | new jersey | none |
| 6 | win | none | peter read | ko | 1948-02-21 00:00:00 | 2 | none | golden gloves | new jersey | none |
| 7 | win | none | jerry gould | ko | 1948-01-01 00:00:00 | 1 | 0:33 | golden gloves | new jersey | none |
| 8 | win | none | alfonse d'amore | ko | 1948-01-01 00:00:00 | 1 | 0:16 | golden gloves | new jersey | none |
| 9 | loss | 0-1 | myron greenberg | tko | 1947-03-05 00:00:00 | 2 | none | golden gloves | new jersey | scheider's nose is broken | | | | "round - time" |
|---:|:-----------------|
| 0 | round - time |
| 1 | round - time |
| 2 | round - time |
| 3 | round - time |
| 4 | round - time |
| 5 | round - time |
| 6 | round - time |
| 7 | round - time |
| 8 | round - time | | [
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] |
select count ( driver ) where team = 'kevin harvick incorporated' col : pos. | car # | driver | make | team row 1 : 1 | 38 | jason leffler | toyota | braun racing row 2 : 2 | 16 | greg biffle | ford | roush fenway racing row 3 : 3 | 99 | david reutimann | toyota | michael waltrip racing row 4 : 4 | 60 | carl edwards | ford | roush fenway racing row 5 : 5 | 77 | ron hornaday | chevrolet | kevin harvick incorporated row 6 : 6 | 20 | aric almirola | chevrolet | joe gibbs racing row 7 : 7 | 29 | scott wimmer | chevrolet | richard childress racing row 8 : 8 | 42 | kevin hamlin | dodge | chip ganassi racing row 9 : 9 | 10 | mike bliss | toyota | braun racing row 10 : 10 | 88 | brad keselowski | chevrolet | jr motorsports | col : count ( "driver" ) row 1 : 1 | select count ( driver ) where team = 'kevin harvick incorporated' <table_name> : table \begin{tabular}{llllll}
\toprule
& pos. & car # & driver & make & team \\
\midrule
0 & 1 & 38 & jason leffler & toyota & braun racing \\
1 & 2 & 16 & greg biffle & ford & roush fenway racing \\
2 & 3 & 99 & david reutimann & toyota & michael waltrip racing \\
3 & 4 & 60 & carl edwards & ford & roush fenway racing \\
4 & 5 & 77 & ron hornaday & chevrolet & kevin harvick incorporated \\
5 & 6 & 20 & aric almirola & chevrolet & joe gibbs racing \\
6 & 7 & 29 & scott wimmer & chevrolet & richard childress racing \\
7 & 8 & 42 & kevin hamlin & dodge & chip ganassi racing \\
8 & 9 & 10 & mike bliss & toyota & braun racing \\
9 & 10 & 88 & brad keselowski & chevrolet & jr motorsports \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "driver" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( driver ) where team = 'kevin harvick incorporated' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos.</th>
<th>car #</th>
<th>driver</th>
<th>make</th>
<th>team</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>38</td>
<td>jason leffler</td>
<td>toyota</td>
<td>braun racing</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>16</td>
<td>greg biffle</td>
<td>ford</td>
<td>roush fenway racing</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>99</td>
<td>david reutimann</td>
<td>toyota</td>
<td>michael waltrip racing</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>60</td>
<td>carl edwards</td>
<td>ford</td>
<td>roush fenway racing</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>77</td>
<td>ron hornaday</td>
<td>chevrolet</td>
<td>kevin harvick incorporated</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>20</td>
<td>aric almirola</td>
<td>chevrolet</td>
<td>joe gibbs racing</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>29</td>
<td>scott wimmer</td>
<td>chevrolet</td>
<td>richard childress racing</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>42</td>
<td>kevin hamlin</td>
<td>dodge</td>
<td>chip ganassi racing</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>10</td>
<td>mike bliss</td>
<td>toyota</td>
<td>braun racing</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>88</td>
<td>brad keselowski</td>
<td>chevrolet</td>
<td>jr motorsports</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "driver" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( driver ) where team = 'kevin harvick incorporated' <table_name> : table | | pos. | car # | driver | make | team |
|---:|-------:|--------:|:----------------|:----------|:---------------------------|
| 0 | 1 | 38 | jason leffler | toyota | braun racing |
| 1 | 2 | 16 | greg biffle | ford | roush fenway racing |
| 2 | 3 | 99 | david reutimann | toyota | michael waltrip racing |
| 3 | 4 | 60 | carl edwards | ford | roush fenway racing |
| 4 | 5 | 77 | ron hornaday | chevrolet | kevin harvick incorporated |
| 5 | 6 | 20 | aric almirola | chevrolet | joe gibbs racing |
| 6 | 7 | 29 | scott wimmer | chevrolet | richard childress racing |
| 7 | 8 | 42 | kevin hamlin | dodge | chip ganassi racing |
| 8 | 9 | 10 | mike bliss | toyota | braun racing |
| 9 | 10 | 88 | brad keselowski | chevrolet | jr motorsports | | | | count ( "driver" ) |
|---:|---------------------:|
| 0 | 1 | | [
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select count ( results record ) where day = 'saturday' col : game | day | date | kickoff | opponent | results score | results record | location | attendance row 1 : 1 | sunday | november 10 | 3:05pm | at las vegas legends | l 3-7 | 0-1 | orleans arena | 1836 row 2 : 2 | sunday | november 17 | 1:05pm | monterrey flash | l 6-10 | 0-2 | unisantos park | 363 row 3 : 3 | saturday | november 23 | 7:05pm | at bay area rosal | w 10-7 | 1-2 | cabernet indoor sports | 652 row 4 : 4 | sunday | december 1 | 1:05pm | ontario fury | w 18-4 | 2-2 | unisantos park | 207 row 5 : 5 | saturday | december 14 | 7:05pm | at sacramento surge | w 7-6 (ot) | 3-2 | estadio azteca soccer arena | 215 row 6 : 6 | sunday | december 15 | 6:00pm | at bay area rosal | l 8-9 (ot) | 3-3 | cabernet indoor sports | 480 row 7 : 7 | sunday | december 22 | 1:05pm | turlock express | w 16-8 | 4-3 | unisantos park | 218 row 8 : 8 | saturday | january 4 | 7:05pm | at ontario fury | l 5-12 | 4-4 | citizens business bank arena | 2653 row 9 : 9 | sunday | january 5 | 1:05pm | san diego sockers | l 7-12 | 4-5 | unisantos park | 388 row 10 : 10 | sunday | january 12 | 1:05pm | las vegas legends | w 10-7 | 5-5 | unisantos park | 343 row 11 : 11 | sunday | january 19 | 1:05pm | bay area rosal | w 17-7 | 6-5 | unisantos park | 219 row 12 : 12 | sunday | january 26 | 1:05pm | sacramento surge | w 20-6 | 7-5 | unisantos park | 224 row 13 : 13 | saturday | february 1 | 7:05pm | at san diego sockers | l 5-6 | 7-6 | valley view casino center | 4954 row 14 : 14 | friday | february 7 | 7:05pm | at turlock express | l 6-9 | 7-7 | turlock soccer complex | 673 row 15 : 15 | saturday | february 8 | 7:05pm | at sacramento surge | w 10-6 | 8-7 | estadio azteca soccer arena | 323 row 16 : 16 | saturday | february 15 | 5:05pm | bay area rosal | w 27-2 | 9-7 | unisantos park | 118 | col : count ( "results record" ) row 1 : 6 | select count ( results record ) where day = 'saturday' <table_name> : table \begin{tabular}{llllllllll}
\toprule
& game & day & date & kickoff & opponent & results score & results record & location & attendance \\
\midrule
0 & 1 & sunday & november 10 & 3:05pm & at las vegas legends & l 3-7 & 0-1 & orleans arena & 1836 \\
1 & 2 & sunday & november 17 & 1:05pm & monterrey flash & l 6-10 & 0-2 & unisantos park & 363 \\
2 & 3 & saturday & november 23 & 7:05pm & at bay area rosal & w 10-7 & 1-2 & cabernet indoor sports & 652 \\
3 & 4 & sunday & december 1 & 1:05pm & ontario fury & w 18-4 & 2-2 & unisantos park & 207 \\
4 & 5 & saturday & december 14 & 7:05pm & at sacramento surge & w 7-6 (ot) & 3-2 & estadio azteca soccer arena & 215 \\
5 & 6 & sunday & december 15 & 6:00pm & at bay area rosal & l 8-9 (ot) & 3-3 & cabernet indoor sports & 480 \\
6 & 7 & sunday & december 22 & 1:05pm & turlock express & w 16-8 & 4-3 & unisantos park & 218 \\
7 & 8 & saturday & january 4 & 7:05pm & at ontario fury & l 5-12 & 4-4 & citizens business bank arena & 2653 \\
8 & 9 & sunday & january 5 & 1:05pm & san diego sockers & l 7-12 & 4-5 & unisantos park & 388 \\
9 & 10 & sunday & january 12 & 1:05pm & las vegas legends & w 10-7 & 5-5 & unisantos park & 343 \\
10 & 11 & sunday & january 19 & 1:05pm & bay area rosal & w 17-7 & 6-5 & unisantos park & 219 \\
11 & 12 & sunday & january 26 & 1:05pm & sacramento surge & w 20-6 & 7-5 & unisantos park & 224 \\
12 & 13 & saturday & february 1 & 7:05pm & at san diego sockers & l 5-6 & 7-6 & valley view casino center & 4954 \\
13 & 14 & friday & february 7 & 7:05pm & at turlock express & l 6-9 & 7-7 & turlock soccer complex & 673 \\
14 & 15 & saturday & february 8 & 7:05pm & at sacramento surge & w 10-6 & 8-7 & estadio azteca soccer arena & 323 \\
15 & 16 & saturday & february 15 & 5:05pm & bay area rosal & w 27-2 & 9-7 & unisantos park & 118 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "results record" ) \\
\midrule
0 & 6 \\
\bottomrule
\end{tabular}
| select count ( results record ) where day = 'saturday' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>game</th>
<th>day</th>
<th>date</th>
<th>kickoff</th>
<th>opponent</th>
<th>results score</th>
<th>results record</th>
<th>location</th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>sunday</td>
<td>november 10</td>
<td>3:05pm</td>
<td>at las vegas legends</td>
<td>l 3-7</td>
<td>0-1</td>
<td>orleans arena</td>
<td>1836</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>sunday</td>
<td>november 17</td>
<td>1:05pm</td>
<td>monterrey flash</td>
<td>l 6-10</td>
<td>0-2</td>
<td>unisantos park</td>
<td>363</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>saturday</td>
<td>november 23</td>
<td>7:05pm</td>
<td>at bay area rosal</td>
<td>w 10-7</td>
<td>1-2</td>
<td>cabernet indoor sports</td>
<td>652</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>sunday</td>
<td>december 1</td>
<td>1:05pm</td>
<td>ontario fury</td>
<td>w 18-4</td>
<td>2-2</td>
<td>unisantos park</td>
<td>207</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>saturday</td>
<td>december 14</td>
<td>7:05pm</td>
<td>at sacramento surge</td>
<td>w 7-6 (ot)</td>
<td>3-2</td>
<td>estadio azteca soccer arena</td>
<td>215</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>sunday</td>
<td>december 15</td>
<td>6:00pm</td>
<td>at bay area rosal</td>
<td>l 8-9 (ot)</td>
<td>3-3</td>
<td>cabernet indoor sports</td>
<td>480</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>sunday</td>
<td>december 22</td>
<td>1:05pm</td>
<td>turlock express</td>
<td>w 16-8</td>
<td>4-3</td>
<td>unisantos park</td>
<td>218</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>saturday</td>
<td>january 4</td>
<td>7:05pm</td>
<td>at ontario fury</td>
<td>l 5-12</td>
<td>4-4</td>
<td>citizens business bank arena</td>
<td>2653</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>sunday</td>
<td>january 5</td>
<td>1:05pm</td>
<td>san diego sockers</td>
<td>l 7-12</td>
<td>4-5</td>
<td>unisantos park</td>
<td>388</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>sunday</td>
<td>january 12</td>
<td>1:05pm</td>
<td>las vegas legends</td>
<td>w 10-7</td>
<td>5-5</td>
<td>unisantos park</td>
<td>343</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>sunday</td>
<td>january 19</td>
<td>1:05pm</td>
<td>bay area rosal</td>
<td>w 17-7</td>
<td>6-5</td>
<td>unisantos park</td>
<td>219</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>sunday</td>
<td>january 26</td>
<td>1:05pm</td>
<td>sacramento surge</td>
<td>w 20-6</td>
<td>7-5</td>
<td>unisantos park</td>
<td>224</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>saturday</td>
<td>february 1</td>
<td>7:05pm</td>
<td>at san diego sockers</td>
<td>l 5-6</td>
<td>7-6</td>
<td>valley view casino center</td>
<td>4954</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>friday</td>
<td>february 7</td>
<td>7:05pm</td>
<td>at turlock express</td>
<td>l 6-9</td>
<td>7-7</td>
<td>turlock soccer complex</td>
<td>673</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>saturday</td>
<td>february 8</td>
<td>7:05pm</td>
<td>at sacramento surge</td>
<td>w 10-6</td>
<td>8-7</td>
<td>estadio azteca soccer arena</td>
<td>323</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>saturday</td>
<td>february 15</td>
<td>5:05pm</td>
<td>bay area rosal</td>
<td>w 27-2</td>
<td>9-7</td>
<td>unisantos park</td>
<td>118</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "results record" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>6</td>
</tr>
</tbody>
</table> | select count ( results record ) where day = 'saturday' <table_name> : table | | game | day | date | kickoff | opponent | results score | results record | location | attendance |
|---:|-------:|:---------|:------------|:----------|:---------------------|:----------------|:-----------------|:-----------------------------|-------------:|
| 0 | 1 | sunday | november 10 | 3:05pm | at las vegas legends | l 3-7 | 0-1 | orleans arena | 1836 |
| 1 | 2 | sunday | november 17 | 1:05pm | monterrey flash | l 6-10 | 0-2 | unisantos park | 363 |
| 2 | 3 | saturday | november 23 | 7:05pm | at bay area rosal | w 10-7 | 1-2 | cabernet indoor sports | 652 |
| 3 | 4 | sunday | december 1 | 1:05pm | ontario fury | w 18-4 | 2-2 | unisantos park | 207 |
| 4 | 5 | saturday | december 14 | 7:05pm | at sacramento surge | w 7-6 (ot) | 3-2 | estadio azteca soccer arena | 215 |
| 5 | 6 | sunday | december 15 | 6:00pm | at bay area rosal | l 8-9 (ot) | 3-3 | cabernet indoor sports | 480 |
| 6 | 7 | sunday | december 22 | 1:05pm | turlock express | w 16-8 | 4-3 | unisantos park | 218 |
| 7 | 8 | saturday | january 4 | 7:05pm | at ontario fury | l 5-12 | 4-4 | citizens business bank arena | 2653 |
| 8 | 9 | sunday | january 5 | 1:05pm | san diego sockers | l 7-12 | 4-5 | unisantos park | 388 |
| 9 | 10 | sunday | january 12 | 1:05pm | las vegas legends | w 10-7 | 5-5 | unisantos park | 343 |
| 10 | 11 | sunday | january 19 | 1:05pm | bay area rosal | w 17-7 | 6-5 | unisantos park | 219 |
| 11 | 12 | sunday | january 26 | 1:05pm | sacramento surge | w 20-6 | 7-5 | unisantos park | 224 |
| 12 | 13 | saturday | february 1 | 7:05pm | at san diego sockers | l 5-6 | 7-6 | valley view casino center | 4954 |
| 13 | 14 | friday | february 7 | 7:05pm | at turlock express | l 6-9 | 7-7 | turlock soccer complex | 673 |
| 14 | 15 | saturday | february 8 | 7:05pm | at sacramento surge | w 10-6 | 8-7 | estadio azteca soccer arena | 323 |
| 15 | 16 | saturday | february 15 | 5:05pm | bay area rosal | w 27-2 | 9-7 | unisantos park | 118 | | | | count ( "results record" ) |
|---:|-----------------------------:|
| 0 | 6 | | [
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select count ( record ) where date = 'none' col : week | date | opponent | time | game site | tv | result/score | record | bye row 1 : 1 | september 6, 2007 | indianapolis colts | 8:30 pm edt | rca dome | nbc | l 41 - 10 | 0-1 | row 2 : 2 | september 16, 2007 | tampa bay buccaneers | 1:00 pm edt | raymond james stadium | fox | l 31 - 14 | 0-2 | row 3 : 3 | september 24, 2007 | tennessee titans | 8:30 pm edt | louisiana superdome | espn | l 31 - 14 | 0-3 | row 4 : 4 | none | none | none | none | none | none | none | row 5 : 5 | october 7, 2007 | carolina panthers | 1:00 pm edt | louisiana superdome | fox | l 16 - 13 | 0-4 | row 6 : 6 | october 14, 2007 | seattle seahawks | 8:15 pm edt | qwest field | nbc | w 28 - 17 | 1-4 | row 7 : 7 | october 21, 2007 | atlanta falcons | 1:00 pm edt | louisiana superdome | fox | w 22 - 16 | 2-4 | row 8 : 8 | october 28, 2007 | san francisco 49ers | 4:15 pm edt | monster park | fox | w 31 - 10 | 3-4 | row 9 : 9 | november 4, 2007 | jacksonville jaguars | 1:00 pm est | louisiana superdome | cbs | w 41 - 24 | 4-4 | row 10 : 10 | november 11, 2007 | st. louis rams | 1:00 pm est | louisiana superdome | fox | l 37 - 29 | 4-5 | row 11 : 11 | november 18, 2007 | houston texans | 1:00 pm est | reliant stadium | fox | l 23 - 10 | 4-6 | row 12 : 12 | november 25, 2007 | carolina panthers | 1:00 pm est | bank of america stadium | fox | w 31 - 6 | 5-6 | row 13 : 13 | december 2, 2007 | tampa bay buccaneers | 1:00 pm est | louisiana superdome | fox | l 27 - 23 | 5-7 | row 14 : 14 | december 10, 2007 | atlanta falcons | 8:30 pm est | georgia dome | espn | w 34 - 14 | 6-7 | row 15 : 15 | december 16, 2007 | arizona cardinals | 1:00 pm est | louisiana superdome | fox | w 31-24 | 7-7 | row 16 : 16 | december 23, 2007 | philadelphia eagles | 1:00 pm est | louisiana superdome | fox | l 38-23 | 7-8 | row 17 : 17 | december 30, 2007 | chicago bears | 1:00 pm est | soldier field | fox | l 33-25 | 7-9 | | col : count ( "record" ) row 1 : 1 | select count ( record ) where date = 'none' <table_name> : table \begin{tabular}{llllllllll}
\toprule
& week & date & opponent & time & game site & tv & result/score & record & bye \\
\midrule
0 & 1 & september 6, 2007 & indianapolis colts & 8:30 pm edt & rca dome & nbc & l 41 - 10 & 0-1 & \\
1 & 2 & september 16, 2007 & tampa bay buccaneers & 1:00 pm edt & raymond james stadium & fox & l 31 - 14 & 0-2 & \\
2 & 3 & september 24, 2007 & tennessee titans & 8:30 pm edt & louisiana superdome & espn & l 31 - 14 & 0-3 & \\
3 & 4 & none & none & none & none & none & none & none & \\
4 & 5 & october 7, 2007 & carolina panthers & 1:00 pm edt & louisiana superdome & fox & l 16 - 13 & 0-4 & \\
5 & 6 & october 14, 2007 & seattle seahawks & 8:15 pm edt & qwest field & nbc & w 28 - 17 & 1-4 & \\
6 & 7 & october 21, 2007 & atlanta falcons & 1:00 pm edt & louisiana superdome & fox & w 22 - 16 & 2-4 & \\
7 & 8 & october 28, 2007 & san francisco 49ers & 4:15 pm edt & monster park & fox & w 31 - 10 & 3-4 & \\
8 & 9 & november 4, 2007 & jacksonville jaguars & 1:00 pm est & louisiana superdome & cbs & w 41 - 24 & 4-4 & \\
9 & 10 & november 11, 2007 & st. louis rams & 1:00 pm est & louisiana superdome & fox & l 37 - 29 & 4-5 & \\
10 & 11 & november 18, 2007 & houston texans & 1:00 pm est & reliant stadium & fox & l 23 - 10 & 4-6 & \\
11 & 12 & november 25, 2007 & carolina panthers & 1:00 pm est & bank of america stadium & fox & w 31 - 6 & 5-6 & \\
12 & 13 & december 2, 2007 & tampa bay buccaneers & 1:00 pm est & louisiana superdome & fox & l 27 - 23 & 5-7 & \\
13 & 14 & december 10, 2007 & atlanta falcons & 8:30 pm est & georgia dome & espn & w 34 - 14 & 6-7 & \\
14 & 15 & december 16, 2007 & arizona cardinals & 1:00 pm est & louisiana superdome & fox & w 31-24 & 7-7 & \\
15 & 16 & december 23, 2007 & philadelphia eagles & 1:00 pm est & louisiana superdome & fox & l 38-23 & 7-8 & \\
16 & 17 & december 30, 2007 & chicago bears & 1:00 pm est & soldier field & fox & l 33-25 & 7-9 | & NaN \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "record" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( record ) where date = 'none' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>week</th>
<th>date</th>
<th>opponent</th>
<th>time</th>
<th>game site</th>
<th>tv</th>
<th>result/score</th>
<th>record</th>
<th>bye</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>september 6, 2007</td>
<td>indianapolis colts</td>
<td>8:30 pm edt</td>
<td>rca dome</td>
<td>nbc</td>
<td>l 41 - 10</td>
<td>0-1</td>
<td></td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>september 16, 2007</td>
<td>tampa bay buccaneers</td>
<td>1:00 pm edt</td>
<td>raymond james stadium</td>
<td>fox</td>
<td>l 31 - 14</td>
<td>0-2</td>
<td></td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>september 24, 2007</td>
<td>tennessee titans</td>
<td>8:30 pm edt</td>
<td>louisiana superdome</td>
<td>espn</td>
<td>l 31 - 14</td>
<td>0-3</td>
<td></td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td></td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>october 7, 2007</td>
<td>carolina panthers</td>
<td>1:00 pm edt</td>
<td>louisiana superdome</td>
<td>fox</td>
<td>l 16 - 13</td>
<td>0-4</td>
<td></td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>october 14, 2007</td>
<td>seattle seahawks</td>
<td>8:15 pm edt</td>
<td>qwest field</td>
<td>nbc</td>
<td>w 28 - 17</td>
<td>1-4</td>
<td></td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>october 21, 2007</td>
<td>atlanta falcons</td>
<td>1:00 pm edt</td>
<td>louisiana superdome</td>
<td>fox</td>
<td>w 22 - 16</td>
<td>2-4</td>
<td></td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>october 28, 2007</td>
<td>san francisco 49ers</td>
<td>4:15 pm edt</td>
<td>monster park</td>
<td>fox</td>
<td>w 31 - 10</td>
<td>3-4</td>
<td></td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>november 4, 2007</td>
<td>jacksonville jaguars</td>
<td>1:00 pm est</td>
<td>louisiana superdome</td>
<td>cbs</td>
<td>w 41 - 24</td>
<td>4-4</td>
<td></td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>november 11, 2007</td>
<td>st. louis rams</td>
<td>1:00 pm est</td>
<td>louisiana superdome</td>
<td>fox</td>
<td>l 37 - 29</td>
<td>4-5</td>
<td></td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>november 18, 2007</td>
<td>houston texans</td>
<td>1:00 pm est</td>
<td>reliant stadium</td>
<td>fox</td>
<td>l 23 - 10</td>
<td>4-6</td>
<td></td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>november 25, 2007</td>
<td>carolina panthers</td>
<td>1:00 pm est</td>
<td>bank of america stadium</td>
<td>fox</td>
<td>w 31 - 6</td>
<td>5-6</td>
<td></td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>december 2, 2007</td>
<td>tampa bay buccaneers</td>
<td>1:00 pm est</td>
<td>louisiana superdome</td>
<td>fox</td>
<td>l 27 - 23</td>
<td>5-7</td>
<td></td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>december 10, 2007</td>
<td>atlanta falcons</td>
<td>8:30 pm est</td>
<td>georgia dome</td>
<td>espn</td>
<td>w 34 - 14</td>
<td>6-7</td>
<td></td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>december 16, 2007</td>
<td>arizona cardinals</td>
<td>1:00 pm est</td>
<td>louisiana superdome</td>
<td>fox</td>
<td>w 31-24</td>
<td>7-7</td>
<td></td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>december 23, 2007</td>
<td>philadelphia eagles</td>
<td>1:00 pm est</td>
<td>louisiana superdome</td>
<td>fox</td>
<td>l 38-23</td>
<td>7-8</td>
<td></td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>december 30, 2007</td>
<td>chicago bears</td>
<td>1:00 pm est</td>
<td>soldier field</td>
<td>fox</td>
<td>l 33-25</td>
<td>7-9 |</td>
<td>None</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "record" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( record ) where date = 'none' <table_name> : table | | week | date | opponent | time | game site | tv | result/score | record | bye |
|---:|-------:|:-------------------|:---------------------|:------------|:------------------------|:-----|:---------------|:---------|:------|
| 0 | 1 | september 6, 2007 | indianapolis colts | 8:30 pm edt | rca dome | nbc | l 41 - 10 | 0-1 | |
| 1 | 2 | september 16, 2007 | tampa bay buccaneers | 1:00 pm edt | raymond james stadium | fox | l 31 - 14 | 0-2 | |
| 2 | 3 | september 24, 2007 | tennessee titans | 8:30 pm edt | louisiana superdome | espn | l 31 - 14 | 0-3 | |
| 3 | 4 | none | none | none | none | none | none | none | |
| 4 | 5 | october 7, 2007 | carolina panthers | 1:00 pm edt | louisiana superdome | fox | l 16 - 13 | 0-4 | |
| 5 | 6 | october 14, 2007 | seattle seahawks | 8:15 pm edt | qwest field | nbc | w 28 - 17 | 1-4 | |
| 6 | 7 | october 21, 2007 | atlanta falcons | 1:00 pm edt | louisiana superdome | fox | w 22 - 16 | 2-4 | |
| 7 | 8 | october 28, 2007 | san francisco 49ers | 4:15 pm edt | monster park | fox | w 31 - 10 | 3-4 | |
| 8 | 9 | november 4, 2007 | jacksonville jaguars | 1:00 pm est | louisiana superdome | cbs | w 41 - 24 | 4-4 | |
| 9 | 10 | november 11, 2007 | st. louis rams | 1:00 pm est | louisiana superdome | fox | l 37 - 29 | 4-5 | |
| 10 | 11 | november 18, 2007 | houston texans | 1:00 pm est | reliant stadium | fox | l 23 - 10 | 4-6 | |
| 11 | 12 | november 25, 2007 | carolina panthers | 1:00 pm est | bank of america stadium | fox | w 31 - 6 | 5-6 | |
| 12 | 13 | december 2, 2007 | tampa bay buccaneers | 1:00 pm est | louisiana superdome | fox | l 27 - 23 | 5-7 | |
| 13 | 14 | december 10, 2007 | atlanta falcons | 8:30 pm est | georgia dome | espn | w 34 - 14 | 6-7 | |
| 14 | 15 | december 16, 2007 | arizona cardinals | 1:00 pm est | louisiana superdome | fox | w 31-24 | 7-7 | |
| 15 | 16 | december 23, 2007 | philadelphia eagles | 1:00 pm est | louisiana superdome | fox | l 38-23 | 7-8 | |
| 16 | 17 | december 30, 2007 | chicago bears | 1:00 pm est | soldier field | fox | l 33-25 | 7-9 | | | | | | count ( "record" ) |
|---:|---------------------:|
| 0 | 1 | | [
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select count ( position ) where fee > 0 col : date | position | name | from | fee row 1 : 2001-07-05 00:00:00 | mf | andy hughes | notts county | £250,000 by a tribunal row 2 : 2001-07-05 00:00:00 | df | adrian whitbread | portsmouth | free row 3 : 2001-07-18 00:00:00 | df | alex smith | port vale | free row 4 : 2001-11-30 00:00:00 | gk | antony malessa | oxford united | free row 5 : 2002-01-28 00:00:00 | mf | john salako | charlton athletic | £50,000 row 6 : 2002-03-13 00:00:00 | gk | frank talia | sheffield united | free row 7 : 2002-03-15 00:00:00 | mf | kevin watson | charlton athletic | £150,000 | col : count ( "position" ) row 1 : 7 | select count ( position ) where fee > 0 <table_name> : table \begin{tabular}{llllll}
\toprule
& date & position & name & from & fee \\
\midrule
0 & 2001-07-05 00:00:00 & mf & andy hughes & notts county & £250,000 by a tribunal \\
1 & 2001-07-05 00:00:00 & df & adrian whitbread & portsmouth & free \\
2 & 2001-07-18 00:00:00 & df & alex smith & port vale & free \\
3 & 2001-11-30 00:00:00 & gk & antony malessa & oxford united & free \\
4 & 2002-01-28 00:00:00 & mf & john salako & charlton athletic & £50,000 \\
5 & 2002-03-13 00:00:00 & gk & frank talia & sheffield united & free \\
6 & 2002-03-15 00:00:00 & mf & kevin watson & charlton athletic & £150,000 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "position" ) \\
\midrule
0 & 7 \\
\bottomrule
\end{tabular}
| select count ( position ) where fee > 0 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>position</th>
<th>name</th>
<th>from</th>
<th>fee</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2001-07-05 00:00:00</td>
<td>mf</td>
<td>andy hughes</td>
<td>notts county</td>
<td>£250,000 by a tribunal</td>
</tr>
<tr>
<th>1</th>
<td>2001-07-05 00:00:00</td>
<td>df</td>
<td>adrian whitbread</td>
<td>portsmouth</td>
<td>free</td>
</tr>
<tr>
<th>2</th>
<td>2001-07-18 00:00:00</td>
<td>df</td>
<td>alex smith</td>
<td>port vale</td>
<td>free</td>
</tr>
<tr>
<th>3</th>
<td>2001-11-30 00:00:00</td>
<td>gk</td>
<td>antony malessa</td>
<td>oxford united</td>
<td>free</td>
</tr>
<tr>
<th>4</th>
<td>2002-01-28 00:00:00</td>
<td>mf</td>
<td>john salako</td>
<td>charlton athletic</td>
<td>£50,000</td>
</tr>
<tr>
<th>5</th>
<td>2002-03-13 00:00:00</td>
<td>gk</td>
<td>frank talia</td>
<td>sheffield united</td>
<td>free</td>
</tr>
<tr>
<th>6</th>
<td>2002-03-15 00:00:00</td>
<td>mf</td>
<td>kevin watson</td>
<td>charlton athletic</td>
<td>£150,000</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "position" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>7</td>
</tr>
</tbody>
</table> | select count ( position ) where fee > 0 <table_name> : table | | date | position | name | from | fee |
|---:|:--------------------|:-----------|:-----------------|:------------------|:-----------------------|
| 0 | 2001-07-05 00:00:00 | mf | andy hughes | notts county | £250,000 by a tribunal |
| 1 | 2001-07-05 00:00:00 | df | adrian whitbread | portsmouth | free |
| 2 | 2001-07-18 00:00:00 | df | alex smith | port vale | free |
| 3 | 2001-11-30 00:00:00 | gk | antony malessa | oxford united | free |
| 4 | 2002-01-28 00:00:00 | mf | john salako | charlton athletic | £50,000 |
| 5 | 2002-03-13 00:00:00 | gk | frank talia | sheffield united | free |
| 6 | 2002-03-15 00:00:00 | mf | kevin watson | charlton athletic | £150,000 | | | | count ( "position" ) |
|---:|-----------------------:|
| 0 | 7 | | [
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select count ( name of the train ) where day = 'daily' col : sr. no. | train no. | name of the train | arrival | departure | day row 1 : 1 | 18238 | chhatisgarh express | 01:23 | 01:25 | daily row 2 : 2 | 12160 | jabalpur-amravati sf | 04:51 | 04:53 | daily row 3 : 3 | 51294 | amla-nagpur pass | 06:39 | 06:40 | daily row 4 : 4 | 12913 | indore-nag tri. exp | 06:49 | 06:51 | m row 5 : 5 | 19301 | indore-yashwantpur exp | 07:20 | 07:25 | m row 6 : 6 | 12406 | nizamuddin-bhusaval gondwana exp | 07:25 | 07:27 | m,st row 7 : 7 | 12410 | nizamuddin-raigarh gondwana exp | 07:25 | 07:27 | s,m,tu,w,t,f row 8 : 8 | 51151 | new amravati-narkhed pass | 08:30 | none | daily row 9 : 9 | 22112 | nagpur-bhusaval sf | 08:37 | 08:39 | m,t,st row 10 : 10 | 11045 | dikshsabhoomi exp | 08:53 | 08:55 | st row 11 : 11 | 16359 | ernakulam-patna exp | 08:53 | 08:55 | m row 12 : 12 | 51829 | nagpur-agra pass | 09:41 | 09:42 | daily row 13 : 13 | 12861 | visakapatnam-nizamuddin | 10:43 | 10:44 | daily row 14 : 14 | 12721 | dakshin express | 10:43 | 10:44 | daily row 15 : 15 | 12616 | grand trunk(gt) exp | 10:49 | 10:51 | daily row 16 : 16 | 19714 | sec-jaipur exp | 11:58 | 12:00 | tu row 17 : 17 | 11203 | nagpur-jaipur weekly express | 13:03 | 13:05 | t row 18 : 18 | 12615 | grand trunk(gt) exp | 13:30 | 13:32 | daily row 19 : 19 | 12405 | bhusaval-h.nizamuddin gondwana exp | 14:08 | 14:10 | s,tu row 20 : 20 | 12409 | raigarh-h.nizamuddin- gondwana exp | 14:08 | 14:10 | m,w,t,f,st row 21 : 21 | 16360 | patna-ernakulam exp | 14:08 | 14:10 | w row 22 : 22 | 11046 | dikshsabhoomi exp | 14:09 | 14:10 | tu row 23 : 23 | 22111 | bhusaval_nagpur sf | 14:36 | 14:38 | s,w,f row 24 : 24 | 19713 | jaipur-sec exp | 15:48 | 15:50 | tu row 25 : 25 | 12722 | dakshin express | 16:00 | 16:02 | daily row 26 : 26 | 51183 | bhusaval-narkhed pass | 16:00 | none | daily row 27 : 27 | 11204 | jaipur-nagpur exp | 17:24 | 17:25 | st row 28 : 28 | 19302 | yashwantpur-indore exp | 17:35 | 17:40 | w row 29 : 29 | 51830 | agra-nagpur pass | 18:04 | 18:05 | daily row 30 : 30 | 51293 | nagpur-amla pass | 19:55 | 20:00 | daily row 31 : 31 | 12914 | nagpur-indore tri. exp | 20:08 | 20:10 | m row 32 : 32 | 12159 | amravati-jabalpur sf | 22:30 | 22:32 | daily row 33 : 33 | 18237 | chhatisgarh express | 23:09 | 23:10 | daily row 34 : 34 | 51152 | narkhed-new amravati pass | none | 18:00 | daily row 35 : 35 | 51184 | bhusaval-narkhed pass | none | 09:00 | daily | col : count ( "name of the train" ) row 1 : 17 | select count ( name of the train ) where day = 'daily' <table_name> : table \begin{tabular}{lllllll}
\toprule
& sr. no. & train no. & name of the train & arrival & departure & day \\
\midrule
0 & 1 & 18238 & chhatisgarh express & 01:23 & 01:25 & daily \\
1 & 2 & 12160 & jabalpur-amravati sf & 04:51 & 04:53 & daily \\
2 & 3 & 51294 & amla-nagpur pass & 06:39 & 06:40 & daily \\
3 & 4 & 12913 & indore-nag tri. exp & 06:49 & 06:51 & m \\
4 & 5 & 19301 & indore-yashwantpur exp & 07:20 & 07:25 & m \\
5 & 6 & 12406 & nizamuddin-bhusaval gondwana exp & 07:25 & 07:27 & m,st \\
6 & 7 & 12410 & nizamuddin-raigarh gondwana exp & 07:25 & 07:27 & s,m,tu,w,t,f \\
7 & 8 & 51151 & new amravati-narkhed pass & 08:30 & none & daily \\
8 & 9 & 22112 & nagpur-bhusaval sf & 08:37 & 08:39 & m,t,st \\
9 & 10 & 11045 & dikshsabhoomi exp & 08:53 & 08:55 & st \\
10 & 11 & 16359 & ernakulam-patna exp & 08:53 & 08:55 & m \\
11 & 12 & 51829 & nagpur-agra pass & 09:41 & 09:42 & daily \\
12 & 13 & 12861 & visakapatnam-nizamuddin & 10:43 & 10:44 & daily \\
13 & 14 & 12721 & dakshin express & 10:43 & 10:44 & daily \\
14 & 15 & 12616 & grand trunk(gt) exp & 10:49 & 10:51 & daily \\
15 & 16 & 19714 & sec-jaipur exp & 11:58 & 12:00 & tu \\
16 & 17 & 11203 & nagpur-jaipur weekly express & 13:03 & 13:05 & t \\
17 & 18 & 12615 & grand trunk(gt) exp & 13:30 & 13:32 & daily \\
18 & 19 & 12405 & bhusaval-h.nizamuddin gondwana exp & 14:08 & 14:10 & s,tu \\
19 & 20 & 12409 & raigarh-h.nizamuddin- gondwana exp & 14:08 & 14:10 & m,w,t,f,st \\
20 & 21 & 16360 & patna-ernakulam exp & 14:08 & 14:10 & w \\
21 & 22 & 11046 & dikshsabhoomi exp & 14:09 & 14:10 & tu \\
22 & 23 & 22111 & bhusaval_nagpur sf & 14:36 & 14:38 & s,w,f \\
23 & 24 & 19713 & jaipur-sec exp & 15:48 & 15:50 & tu \\
24 & 25 & 12722 & dakshin express & 16:00 & 16:02 & daily \\
25 & 26 & 51183 & bhusaval-narkhed pass & 16:00 & none & daily \\
26 & 27 & 11204 & jaipur-nagpur exp & 17:24 & 17:25 & st \\
27 & 28 & 19302 & yashwantpur-indore exp & 17:35 & 17:40 & w \\
28 & 29 & 51830 & agra-nagpur pass & 18:04 & 18:05 & daily \\
29 & 30 & 51293 & nagpur-amla pass & 19:55 & 20:00 & daily \\
30 & 31 & 12914 & nagpur-indore tri. exp & 20:08 & 20:10 & m \\
31 & 32 & 12159 & amravati-jabalpur sf & 22:30 & 22:32 & daily \\
32 & 33 & 18237 & chhatisgarh express & 23:09 & 23:10 & daily \\
33 & 34 & 51152 & narkhed-new amravati pass & none & 18:00 & daily \\
34 & 35 & 51184 & bhusaval-narkhed pass & none & 09:00 & daily \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "name of the train" ) \\
\midrule
0 & 17 \\
\bottomrule
\end{tabular}
| select count ( name of the train ) where day = 'daily' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>sr. no.</th>
<th>train no.</th>
<th>name of the train</th>
<th>arrival</th>
<th>departure</th>
<th>day</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>18238</td>
<td>chhatisgarh express</td>
<td>01:23</td>
<td>01:25</td>
<td>daily</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>12160</td>
<td>jabalpur-amravati sf</td>
<td>04:51</td>
<td>04:53</td>
<td>daily</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>51294</td>
<td>amla-nagpur pass</td>
<td>06:39</td>
<td>06:40</td>
<td>daily</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>12913</td>
<td>indore-nag tri. exp</td>
<td>06:49</td>
<td>06:51</td>
<td>m</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>19301</td>
<td>indore-yashwantpur exp</td>
<td>07:20</td>
<td>07:25</td>
<td>m</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>12406</td>
<td>nizamuddin-bhusaval gondwana exp</td>
<td>07:25</td>
<td>07:27</td>
<td>m,st</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>12410</td>
<td>nizamuddin-raigarh gondwana exp</td>
<td>07:25</td>
<td>07:27</td>
<td>s,m,tu,w,t,f</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>51151</td>
<td>new amravati-narkhed pass</td>
<td>08:30</td>
<td>none</td>
<td>daily</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>22112</td>
<td>nagpur-bhusaval sf</td>
<td>08:37</td>
<td>08:39</td>
<td>m,t,st</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>11045</td>
<td>dikshsabhoomi exp</td>
<td>08:53</td>
<td>08:55</td>
<td>st</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>16359</td>
<td>ernakulam-patna exp</td>
<td>08:53</td>
<td>08:55</td>
<td>m</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>51829</td>
<td>nagpur-agra pass</td>
<td>09:41</td>
<td>09:42</td>
<td>daily</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>12861</td>
<td>visakapatnam-nizamuddin</td>
<td>10:43</td>
<td>10:44</td>
<td>daily</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>12721</td>
<td>dakshin express</td>
<td>10:43</td>
<td>10:44</td>
<td>daily</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>12616</td>
<td>grand trunk(gt) exp</td>
<td>10:49</td>
<td>10:51</td>
<td>daily</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>19714</td>
<td>sec-jaipur exp</td>
<td>11:58</td>
<td>12:00</td>
<td>tu</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>11203</td>
<td>nagpur-jaipur weekly express</td>
<td>13:03</td>
<td>13:05</td>
<td>t</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>12615</td>
<td>grand trunk(gt) exp</td>
<td>13:30</td>
<td>13:32</td>
<td>daily</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>12405</td>
<td>bhusaval-h.nizamuddin gondwana exp</td>
<td>14:08</td>
<td>14:10</td>
<td>s,tu</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>12409</td>
<td>raigarh-h.nizamuddin- gondwana exp</td>
<td>14:08</td>
<td>14:10</td>
<td>m,w,t,f,st</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>16360</td>
<td>patna-ernakulam exp</td>
<td>14:08</td>
<td>14:10</td>
<td>w</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>11046</td>
<td>dikshsabhoomi exp</td>
<td>14:09</td>
<td>14:10</td>
<td>tu</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>22111</td>
<td>bhusaval_nagpur sf</td>
<td>14:36</td>
<td>14:38</td>
<td>s,w,f</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>19713</td>
<td>jaipur-sec exp</td>
<td>15:48</td>
<td>15:50</td>
<td>tu</td>
</tr>
<tr>
<th>24</th>
<td>25</td>
<td>12722</td>
<td>dakshin express</td>
<td>16:00</td>
<td>16:02</td>
<td>daily</td>
</tr>
<tr>
<th>25</th>
<td>26</td>
<td>51183</td>
<td>bhusaval-narkhed pass</td>
<td>16:00</td>
<td>none</td>
<td>daily</td>
</tr>
<tr>
<th>26</th>
<td>27</td>
<td>11204</td>
<td>jaipur-nagpur exp</td>
<td>17:24</td>
<td>17:25</td>
<td>st</td>
</tr>
<tr>
<th>27</th>
<td>28</td>
<td>19302</td>
<td>yashwantpur-indore exp</td>
<td>17:35</td>
<td>17:40</td>
<td>w</td>
</tr>
<tr>
<th>28</th>
<td>29</td>
<td>51830</td>
<td>agra-nagpur pass</td>
<td>18:04</td>
<td>18:05</td>
<td>daily</td>
</tr>
<tr>
<th>29</th>
<td>30</td>
<td>51293</td>
<td>nagpur-amla pass</td>
<td>19:55</td>
<td>20:00</td>
<td>daily</td>
</tr>
<tr>
<th>30</th>
<td>31</td>
<td>12914</td>
<td>nagpur-indore tri. exp</td>
<td>20:08</td>
<td>20:10</td>
<td>m</td>
</tr>
<tr>
<th>31</th>
<td>32</td>
<td>12159</td>
<td>amravati-jabalpur sf</td>
<td>22:30</td>
<td>22:32</td>
<td>daily</td>
</tr>
<tr>
<th>32</th>
<td>33</td>
<td>18237</td>
<td>chhatisgarh express</td>
<td>23:09</td>
<td>23:10</td>
<td>daily</td>
</tr>
<tr>
<th>33</th>
<td>34</td>
<td>51152</td>
<td>narkhed-new amravati pass</td>
<td>none</td>
<td>18:00</td>
<td>daily</td>
</tr>
<tr>
<th>34</th>
<td>35</td>
<td>51184</td>
<td>bhusaval-narkhed pass</td>
<td>none</td>
<td>09:00</td>
<td>daily</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "name of the train" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>17</td>
</tr>
</tbody>
</table> | select count ( name of the train ) where day = 'daily' <table_name> : table | | sr. no. | train no. | name of the train | arrival | departure | day |
|---:|----------:|------------:|:-----------------------------------|:----------|:------------|:-------------|
| 0 | 1 | 18238 | chhatisgarh express | 01:23 | 01:25 | daily |
| 1 | 2 | 12160 | jabalpur-amravati sf | 04:51 | 04:53 | daily |
| 2 | 3 | 51294 | amla-nagpur pass | 06:39 | 06:40 | daily |
| 3 | 4 | 12913 | indore-nag tri. exp | 06:49 | 06:51 | m |
| 4 | 5 | 19301 | indore-yashwantpur exp | 07:20 | 07:25 | m |
| 5 | 6 | 12406 | nizamuddin-bhusaval gondwana exp | 07:25 | 07:27 | m,st |
| 6 | 7 | 12410 | nizamuddin-raigarh gondwana exp | 07:25 | 07:27 | s,m,tu,w,t,f |
| 7 | 8 | 51151 | new amravati-narkhed pass | 08:30 | none | daily |
| 8 | 9 | 22112 | nagpur-bhusaval sf | 08:37 | 08:39 | m,t,st |
| 9 | 10 | 11045 | dikshsabhoomi exp | 08:53 | 08:55 | st |
| 10 | 11 | 16359 | ernakulam-patna exp | 08:53 | 08:55 | m |
| 11 | 12 | 51829 | nagpur-agra pass | 09:41 | 09:42 | daily |
| 12 | 13 | 12861 | visakapatnam-nizamuddin | 10:43 | 10:44 | daily |
| 13 | 14 | 12721 | dakshin express | 10:43 | 10:44 | daily |
| 14 | 15 | 12616 | grand trunk(gt) exp | 10:49 | 10:51 | daily |
| 15 | 16 | 19714 | sec-jaipur exp | 11:58 | 12:00 | tu |
| 16 | 17 | 11203 | nagpur-jaipur weekly express | 13:03 | 13:05 | t |
| 17 | 18 | 12615 | grand trunk(gt) exp | 13:30 | 13:32 | daily |
| 18 | 19 | 12405 | bhusaval-h.nizamuddin gondwana exp | 14:08 | 14:10 | s,tu |
| 19 | 20 | 12409 | raigarh-h.nizamuddin- gondwana exp | 14:08 | 14:10 | m,w,t,f,st |
| 20 | 21 | 16360 | patna-ernakulam exp | 14:08 | 14:10 | w |
| 21 | 22 | 11046 | dikshsabhoomi exp | 14:09 | 14:10 | tu |
| 22 | 23 | 22111 | bhusaval_nagpur sf | 14:36 | 14:38 | s,w,f |
| 23 | 24 | 19713 | jaipur-sec exp | 15:48 | 15:50 | tu |
| 24 | 25 | 12722 | dakshin express | 16:00 | 16:02 | daily |
| 25 | 26 | 51183 | bhusaval-narkhed pass | 16:00 | none | daily |
| 26 | 27 | 11204 | jaipur-nagpur exp | 17:24 | 17:25 | st |
| 27 | 28 | 19302 | yashwantpur-indore exp | 17:35 | 17:40 | w |
| 28 | 29 | 51830 | agra-nagpur pass | 18:04 | 18:05 | daily |
| 29 | 30 | 51293 | nagpur-amla pass | 19:55 | 20:00 | daily |
| 30 | 31 | 12914 | nagpur-indore tri. exp | 20:08 | 20:10 | m |
| 31 | 32 | 12159 | amravati-jabalpur sf | 22:30 | 22:32 | daily |
| 32 | 33 | 18237 | chhatisgarh express | 23:09 | 23:10 | daily |
| 33 | 34 | 51152 | narkhed-new amravati pass | none | 18:00 | daily |
| 34 | 35 | 51184 | bhusaval-narkhed pass | none | 09:00 | daily | | | | count ( "name of the train" ) |
|---:|--------------------------------:|
| 0 | 17 | | [
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select day where opponent = 'turlock express' col : game | day | date | kickoff | opponent | results score | results record | location | attendance row 1 : 1 | sunday | november 10 | 3:05pm | at las vegas legends | l 3-7 | 0-1 | orleans arena | 1836 row 2 : 2 | sunday | november 17 | 1:05pm | monterrey flash | l 6-10 | 0-2 | unisantos park | 363 row 3 : 3 | saturday | november 23 | 7:05pm | at bay area rosal | w 10-7 | 1-2 | cabernet indoor sports | 652 row 4 : 4 | sunday | december 1 | 1:05pm | ontario fury | w 18-4 | 2-2 | unisantos park | 207 row 5 : 5 | saturday | december 14 | 7:05pm | at sacramento surge | w 7-6 (ot) | 3-2 | estadio azteca soccer arena | 215 row 6 : 6 | sunday | december 15 | 6:00pm | at bay area rosal | l 8-9 (ot) | 3-3 | cabernet indoor sports | 480 row 7 : 7 | sunday | december 22 | 1:05pm | turlock express | w 16-8 | 4-3 | unisantos park | 218 row 8 : 8 | saturday | january 4 | 7:05pm | at ontario fury | l 5-12 | 4-4 | citizens business bank arena | 2653 row 9 : 9 | sunday | january 5 | 1:05pm | san diego sockers | l 7-12 | 4-5 | unisantos park | 388 row 10 : 10 | sunday | january 12 | 1:05pm | las vegas legends | w 10-7 | 5-5 | unisantos park | 343 row 11 : 11 | sunday | january 19 | 1:05pm | bay area rosal | w 17-7 | 6-5 | unisantos park | 219 row 12 : 12 | sunday | january 26 | 1:05pm | sacramento surge | w 20-6 | 7-5 | unisantos park | 224 row 13 : 13 | saturday | february 1 | 7:05pm | at san diego sockers | l 5-6 | 7-6 | valley view casino center | 4954 row 14 : 14 | friday | february 7 | 7:05pm | at turlock express | l 6-9 | 7-7 | turlock soccer complex | 673 row 15 : 15 | saturday | february 8 | 7:05pm | at sacramento surge | w 10-6 | 8-7 | estadio azteca soccer arena | 323 row 16 : 16 | saturday | february 15 | 5:05pm | bay area rosal | w 27-2 | 9-7 | unisantos park | 118 | col : day row 1 : sunday | select day where opponent = 'turlock express' <table_name> : table \begin{tabular}{llllllllll}
\toprule
& game & day & date & kickoff & opponent & results score & results record & location & attendance \\
\midrule
0 & 1 & sunday & november 10 & 3:05pm & at las vegas legends & l 3-7 & 0-1 & orleans arena & 1836 \\
1 & 2 & sunday & november 17 & 1:05pm & monterrey flash & l 6-10 & 0-2 & unisantos park & 363 \\
2 & 3 & saturday & november 23 & 7:05pm & at bay area rosal & w 10-7 & 1-2 & cabernet indoor sports & 652 \\
3 & 4 & sunday & december 1 & 1:05pm & ontario fury & w 18-4 & 2-2 & unisantos park & 207 \\
4 & 5 & saturday & december 14 & 7:05pm & at sacramento surge & w 7-6 (ot) & 3-2 & estadio azteca soccer arena & 215 \\
5 & 6 & sunday & december 15 & 6:00pm & at bay area rosal & l 8-9 (ot) & 3-3 & cabernet indoor sports & 480 \\
6 & 7 & sunday & december 22 & 1:05pm & turlock express & w 16-8 & 4-3 & unisantos park & 218 \\
7 & 8 & saturday & january 4 & 7:05pm & at ontario fury & l 5-12 & 4-4 & citizens business bank arena & 2653 \\
8 & 9 & sunday & january 5 & 1:05pm & san diego sockers & l 7-12 & 4-5 & unisantos park & 388 \\
9 & 10 & sunday & january 12 & 1:05pm & las vegas legends & w 10-7 & 5-5 & unisantos park & 343 \\
10 & 11 & sunday & january 19 & 1:05pm & bay area rosal & w 17-7 & 6-5 & unisantos park & 219 \\
11 & 12 & sunday & january 26 & 1:05pm & sacramento surge & w 20-6 & 7-5 & unisantos park & 224 \\
12 & 13 & saturday & february 1 & 7:05pm & at san diego sockers & l 5-6 & 7-6 & valley view casino center & 4954 \\
13 & 14 & friday & february 7 & 7:05pm & at turlock express & l 6-9 & 7-7 & turlock soccer complex & 673 \\
14 & 15 & saturday & february 8 & 7:05pm & at sacramento surge & w 10-6 & 8-7 & estadio azteca soccer arena & 323 \\
15 & 16 & saturday & february 15 & 5:05pm & bay area rosal & w 27-2 & 9-7 & unisantos park & 118 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& day \\
\midrule
0 & sunday \\
\bottomrule
\end{tabular}
| select day where opponent = 'turlock express' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>game</th>
<th>day</th>
<th>date</th>
<th>kickoff</th>
<th>opponent</th>
<th>results score</th>
<th>results record</th>
<th>location</th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>sunday</td>
<td>november 10</td>
<td>3:05pm</td>
<td>at las vegas legends</td>
<td>l 3-7</td>
<td>0-1</td>
<td>orleans arena</td>
<td>1836</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>sunday</td>
<td>november 17</td>
<td>1:05pm</td>
<td>monterrey flash</td>
<td>l 6-10</td>
<td>0-2</td>
<td>unisantos park</td>
<td>363</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>saturday</td>
<td>november 23</td>
<td>7:05pm</td>
<td>at bay area rosal</td>
<td>w 10-7</td>
<td>1-2</td>
<td>cabernet indoor sports</td>
<td>652</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>sunday</td>
<td>december 1</td>
<td>1:05pm</td>
<td>ontario fury</td>
<td>w 18-4</td>
<td>2-2</td>
<td>unisantos park</td>
<td>207</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>saturday</td>
<td>december 14</td>
<td>7:05pm</td>
<td>at sacramento surge</td>
<td>w 7-6 (ot)</td>
<td>3-2</td>
<td>estadio azteca soccer arena</td>
<td>215</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>sunday</td>
<td>december 15</td>
<td>6:00pm</td>
<td>at bay area rosal</td>
<td>l 8-9 (ot)</td>
<td>3-3</td>
<td>cabernet indoor sports</td>
<td>480</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>sunday</td>
<td>december 22</td>
<td>1:05pm</td>
<td>turlock express</td>
<td>w 16-8</td>
<td>4-3</td>
<td>unisantos park</td>
<td>218</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>saturday</td>
<td>january 4</td>
<td>7:05pm</td>
<td>at ontario fury</td>
<td>l 5-12</td>
<td>4-4</td>
<td>citizens business bank arena</td>
<td>2653</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>sunday</td>
<td>january 5</td>
<td>1:05pm</td>
<td>san diego sockers</td>
<td>l 7-12</td>
<td>4-5</td>
<td>unisantos park</td>
<td>388</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>sunday</td>
<td>january 12</td>
<td>1:05pm</td>
<td>las vegas legends</td>
<td>w 10-7</td>
<td>5-5</td>
<td>unisantos park</td>
<td>343</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>sunday</td>
<td>january 19</td>
<td>1:05pm</td>
<td>bay area rosal</td>
<td>w 17-7</td>
<td>6-5</td>
<td>unisantos park</td>
<td>219</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>sunday</td>
<td>january 26</td>
<td>1:05pm</td>
<td>sacramento surge</td>
<td>w 20-6</td>
<td>7-5</td>
<td>unisantos park</td>
<td>224</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>saturday</td>
<td>february 1</td>
<td>7:05pm</td>
<td>at san diego sockers</td>
<td>l 5-6</td>
<td>7-6</td>
<td>valley view casino center</td>
<td>4954</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>friday</td>
<td>february 7</td>
<td>7:05pm</td>
<td>at turlock express</td>
<td>l 6-9</td>
<td>7-7</td>
<td>turlock soccer complex</td>
<td>673</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>saturday</td>
<td>february 8</td>
<td>7:05pm</td>
<td>at sacramento surge</td>
<td>w 10-6</td>
<td>8-7</td>
<td>estadio azteca soccer arena</td>
<td>323</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>saturday</td>
<td>february 15</td>
<td>5:05pm</td>
<td>bay area rosal</td>
<td>w 27-2</td>
<td>9-7</td>
<td>unisantos park</td>
<td>118</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>day</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>sunday</td>
</tr>
</tbody>
</table> | select day where opponent = 'turlock express' <table_name> : table | | game | day | date | kickoff | opponent | results score | results record | location | attendance |
|---:|-------:|:---------|:------------|:----------|:---------------------|:----------------|:-----------------|:-----------------------------|-------------:|
| 0 | 1 | sunday | november 10 | 3:05pm | at las vegas legends | l 3-7 | 0-1 | orleans arena | 1836 |
| 1 | 2 | sunday | november 17 | 1:05pm | monterrey flash | l 6-10 | 0-2 | unisantos park | 363 |
| 2 | 3 | saturday | november 23 | 7:05pm | at bay area rosal | w 10-7 | 1-2 | cabernet indoor sports | 652 |
| 3 | 4 | sunday | december 1 | 1:05pm | ontario fury | w 18-4 | 2-2 | unisantos park | 207 |
| 4 | 5 | saturday | december 14 | 7:05pm | at sacramento surge | w 7-6 (ot) | 3-2 | estadio azteca soccer arena | 215 |
| 5 | 6 | sunday | december 15 | 6:00pm | at bay area rosal | l 8-9 (ot) | 3-3 | cabernet indoor sports | 480 |
| 6 | 7 | sunday | december 22 | 1:05pm | turlock express | w 16-8 | 4-3 | unisantos park | 218 |
| 7 | 8 | saturday | january 4 | 7:05pm | at ontario fury | l 5-12 | 4-4 | citizens business bank arena | 2653 |
| 8 | 9 | sunday | january 5 | 1:05pm | san diego sockers | l 7-12 | 4-5 | unisantos park | 388 |
| 9 | 10 | sunday | january 12 | 1:05pm | las vegas legends | w 10-7 | 5-5 | unisantos park | 343 |
| 10 | 11 | sunday | january 19 | 1:05pm | bay area rosal | w 17-7 | 6-5 | unisantos park | 219 |
| 11 | 12 | sunday | january 26 | 1:05pm | sacramento surge | w 20-6 | 7-5 | unisantos park | 224 |
| 12 | 13 | saturday | february 1 | 7:05pm | at san diego sockers | l 5-6 | 7-6 | valley view casino center | 4954 |
| 13 | 14 | friday | february 7 | 7:05pm | at turlock express | l 6-9 | 7-7 | turlock soccer complex | 673 |
| 14 | 15 | saturday | february 8 | 7:05pm | at sacramento surge | w 10-6 | 8-7 | estadio azteca soccer arena | 323 |
| 15 | 16 | saturday | february 15 | 5:05pm | bay area rosal | w 27-2 | 9-7 | unisantos park | 118 | | | | day |
|---:|:-------|
| 0 | sunday | | [
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select notes where position = '29th' col : year | competition | venue | position | notes row 1 : 1991 | world race walking cup | san jose, united states | 12th | 50 km row 2 : 1991 | world championships | tokyo, japan | 13th | 50 km row 3 : 1992 | olympic games | barcelona, spain | 18th | 50 km row 4 : 1993 | world championships | stuttgart, germany | 7th | 50 km row 5 : 1994 | asian games | hiroshima, japan | 3rd | 50 km row 6 : 1995 | world championships | gothenburg, sweden | 20th | 50 km row 7 : 1997 | world championships | athens, greece | 6th | 50 km row 8 : 1998 | asian games | bangkok, thailand | 2nd | 50 km row 9 : 1999 | world championships | seville, spain | 15th | 50 km row 10 : 2000 | olympic games | sydney, australia | 36th | 50 km row 11 : 2001 | world championships | edmonton, canada | 29th | 50 km row 12 : 2003 | world championships | paris, france | dsq | 50 km | col : notes row 1 : 50 km | select notes where position = '29th' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & competition & venue & position & notes \\
\midrule
0 & 1991 & world race walking cup & san jose, united states & 12th & 50 km \\
1 & 1991 & world championships & tokyo, japan & 13th & 50 km \\
2 & 1992 & olympic games & barcelona, spain & 18th & 50 km \\
3 & 1993 & world championships & stuttgart, germany & 7th & 50 km \\
4 & 1994 & asian games & hiroshima, japan & 3rd & 50 km \\
5 & 1995 & world championships & gothenburg, sweden & 20th & 50 km \\
6 & 1997 & world championships & athens, greece & 6th & 50 km \\
7 & 1998 & asian games & bangkok, thailand & 2nd & 50 km \\
8 & 1999 & world championships & seville, spain & 15th & 50 km \\
9 & 2000 & olympic games & sydney, australia & 36th & 50 km \\
10 & 2001 & world championships & edmonton, canada & 29th & 50 km \\
11 & 2003 & world championships & paris, france & dsq & 50 km \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& notes \\
\midrule
0 & 50 km \\
\bottomrule
\end{tabular}
| select notes where position = '29th' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>competition</th>
<th>venue</th>
<th>position</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1991</td>
<td>world race walking cup</td>
<td>san jose, united states</td>
<td>12th</td>
<td>50 km</td>
</tr>
<tr>
<th>1</th>
<td>1991</td>
<td>world championships</td>
<td>tokyo, japan</td>
<td>13th</td>
<td>50 km</td>
</tr>
<tr>
<th>2</th>
<td>1992</td>
<td>olympic games</td>
<td>barcelona, spain</td>
<td>18th</td>
<td>50 km</td>
</tr>
<tr>
<th>3</th>
<td>1993</td>
<td>world championships</td>
<td>stuttgart, germany</td>
<td>7th</td>
<td>50 km</td>
</tr>
<tr>
<th>4</th>
<td>1994</td>
<td>asian games</td>
<td>hiroshima, japan</td>
<td>3rd</td>
<td>50 km</td>
</tr>
<tr>
<th>5</th>
<td>1995</td>
<td>world championships</td>
<td>gothenburg, sweden</td>
<td>20th</td>
<td>50 km</td>
</tr>
<tr>
<th>6</th>
<td>1997</td>
<td>world championships</td>
<td>athens, greece</td>
<td>6th</td>
<td>50 km</td>
</tr>
<tr>
<th>7</th>
<td>1998</td>
<td>asian games</td>
<td>bangkok, thailand</td>
<td>2nd</td>
<td>50 km</td>
</tr>
<tr>
<th>8</th>
<td>1999</td>
<td>world championships</td>
<td>seville, spain</td>
<td>15th</td>
<td>50 km</td>
</tr>
<tr>
<th>9</th>
<td>2000</td>
<td>olympic games</td>
<td>sydney, australia</td>
<td>36th</td>
<td>50 km</td>
</tr>
<tr>
<th>10</th>
<td>2001</td>
<td>world championships</td>
<td>edmonton, canada</td>
<td>29th</td>
<td>50 km</td>
</tr>
<tr>
<th>11</th>
<td>2003</td>
<td>world championships</td>
<td>paris, france</td>
<td>dsq</td>
<td>50 km</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>50 km</td>
</tr>
</tbody>
</table> | select notes where position = '29th' <table_name> : table | | year | competition | venue | position | notes |
|---:|-------:|:-----------------------|:------------------------|:-----------|:--------|
| 0 | 1991 | world race walking cup | san jose, united states | 12th | 50 km |
| 1 | 1991 | world championships | tokyo, japan | 13th | 50 km |
| 2 | 1992 | olympic games | barcelona, spain | 18th | 50 km |
| 3 | 1993 | world championships | stuttgart, germany | 7th | 50 km |
| 4 | 1994 | asian games | hiroshima, japan | 3rd | 50 km |
| 5 | 1995 | world championships | gothenburg, sweden | 20th | 50 km |
| 6 | 1997 | world championships | athens, greece | 6th | 50 km |
| 7 | 1998 | asian games | bangkok, thailand | 2nd | 50 km |
| 8 | 1999 | world championships | seville, spain | 15th | 50 km |
| 9 | 2000 | olympic games | sydney, australia | 36th | 50 km |
| 10 | 2001 | world championships | edmonton, canada | 29th | 50 km |
| 11 | 2003 | world championships | paris, france | dsq | 50 km | | | | notes |
|---:|:--------|
| 0 | 50 km | | [
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] |
select count ( * ) where league = 'usl pdl' col : year | division | league | regular season | playoffs | open cup row 1 : 2004 | 4 | usl pdl | 8th, mid south | did not qualify | did not qualify row 2 : 2005 | 4 | usl pdl | 2nd, mid south | conference finals | did not qualify row 3 : 2006 | 4 | usl pdl | 1st, mid south | national final | 1st round row 4 : 2007 | 4 | usl pdl | 1st, mid south | champions | did not qualify row 5 : 2008 | 4 | usl pdl | 2nd, mid south | national final | did not qualify row 6 : 2009 | 4 | usl pdl | 1st, mid south | conference finals | did not qualify row 7 : 2010 | 4 | usl pdl | 1st, mid south | conference semi-final | did not qualify row 8 : 2011 | 4 | usl pdl | 1st, mid south | national final | did not qualify row 9 : 2012 | 4 | usl pdl | 1st, mid south | conference semi-final | 2nd round row 10 : 2013 | 4 | usl pdl | 2nd, mid south | conference finals | 2nd round | col : count ( "*" ) row 1 : 10 | select count ( * ) where league = 'usl pdl' <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & division & league & regular season & playoffs & open cup \\
\midrule
0 & 2004 & 4 & usl pdl & 8th, mid south & did not qualify & did not qualify \\
1 & 2005 & 4 & usl pdl & 2nd, mid south & conference finals & did not qualify \\
2 & 2006 & 4 & usl pdl & 1st, mid south & national final & 1st round \\
3 & 2007 & 4 & usl pdl & 1st, mid south & champions & did not qualify \\
4 & 2008 & 4 & usl pdl & 2nd, mid south & national final & did not qualify \\
5 & 2009 & 4 & usl pdl & 1st, mid south & conference finals & did not qualify \\
6 & 2010 & 4 & usl pdl & 1st, mid south & conference semi-final & did not qualify \\
7 & 2011 & 4 & usl pdl & 1st, mid south & national final & did not qualify \\
8 & 2012 & 4 & usl pdl & 1st, mid south & conference semi-final & 2nd round \\
9 & 2013 & 4 & usl pdl & 2nd, mid south & conference finals & 2nd round \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 10 \\
\bottomrule
\end{tabular}
| select count ( * ) where league = 'usl pdl' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>division</th>
<th>league</th>
<th>regular season</th>
<th>playoffs</th>
<th>open cup</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2004</td>
<td>4</td>
<td>usl pdl</td>
<td>8th, mid south</td>
<td>did not qualify</td>
<td>did not qualify</td>
</tr>
<tr>
<th>1</th>
<td>2005</td>
<td>4</td>
<td>usl pdl</td>
<td>2nd, mid south</td>
<td>conference finals</td>
<td>did not qualify</td>
</tr>
<tr>
<th>2</th>
<td>2006</td>
<td>4</td>
<td>usl pdl</td>
<td>1st, mid south</td>
<td>national final</td>
<td>1st round</td>
</tr>
<tr>
<th>3</th>
<td>2007</td>
<td>4</td>
<td>usl pdl</td>
<td>1st, mid south</td>
<td>champions</td>
<td>did not qualify</td>
</tr>
<tr>
<th>4</th>
<td>2008</td>
<td>4</td>
<td>usl pdl</td>
<td>2nd, mid south</td>
<td>national final</td>
<td>did not qualify</td>
</tr>
<tr>
<th>5</th>
<td>2009</td>
<td>4</td>
<td>usl pdl</td>
<td>1st, mid south</td>
<td>conference finals</td>
<td>did not qualify</td>
</tr>
<tr>
<th>6</th>
<td>2010</td>
<td>4</td>
<td>usl pdl</td>
<td>1st, mid south</td>
<td>conference semi-final</td>
<td>did not qualify</td>
</tr>
<tr>
<th>7</th>
<td>2011</td>
<td>4</td>
<td>usl pdl</td>
<td>1st, mid south</td>
<td>national final</td>
<td>did not qualify</td>
</tr>
<tr>
<th>8</th>
<td>2012</td>
<td>4</td>
<td>usl pdl</td>
<td>1st, mid south</td>
<td>conference semi-final</td>
<td>2nd round</td>
</tr>
<tr>
<th>9</th>
<td>2013</td>
<td>4</td>
<td>usl pdl</td>
<td>2nd, mid south</td>
<td>conference finals</td>
<td>2nd round</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>10</td>
</tr>
</tbody>
</table> | select count ( * ) where league = 'usl pdl' <table_name> : table | | year | division | league | regular season | playoffs | open cup |
|---:|-------:|-----------:|:---------|:-----------------|:----------------------|:----------------|
| 0 | 2004 | 4 | usl pdl | 8th, mid south | did not qualify | did not qualify |
| 1 | 2005 | 4 | usl pdl | 2nd, mid south | conference finals | did not qualify |
| 2 | 2006 | 4 | usl pdl | 1st, mid south | national final | 1st round |
| 3 | 2007 | 4 | usl pdl | 1st, mid south | champions | did not qualify |
| 4 | 2008 | 4 | usl pdl | 2nd, mid south | national final | did not qualify |
| 5 | 2009 | 4 | usl pdl | 1st, mid south | conference finals | did not qualify |
| 6 | 2010 | 4 | usl pdl | 1st, mid south | conference semi-final | did not qualify |
| 7 | 2011 | 4 | usl pdl | 1st, mid south | national final | did not qualify |
| 8 | 2012 | 4 | usl pdl | 1st, mid south | conference semi-final | 2nd round |
| 9 | 2013 | 4 | usl pdl | 2nd, mid south | conference finals | 2nd round | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 10 | | [
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select year where album = 'for all the drugs in the world' col : year | title | us hot 100 | us modern rock | us mainstream rock | album row 1 : 1994 | "neenah menasha" | none | none | none | rotting pinata row 2 : 1994 | "plowed" | none | 5 | 9 | rotting pinata row 3 : 1995 | "molly (16 candles down the drain)" | 55 | 3 | 11 | rotting pinata row 4 : 1995 | "rainin'" | none | 34 | 18 | rotting pinata row 5 : 1996 | "wax ecstatic (to sell angelina)" | none | 15 | 11 | wax ecstatic row 6 : 1997 | "have you seen mary" | none | none | 7 | wax ecstatic row 7 : 1999 | "live here without you" | none | none | none | new pop sunday row 8 : 1999 | "1000 times" | none | none | none | new pop sunday row 9 : 2003 | "treat me wrong" | none | none | none | for all the drugs in the world row 10 : 2003 | "leave this world" | none | none | none | for all the drugs in the world row 11 : 2005 | "the man" | none | none | none | the man row 12 : 2005 | "higher (part 1)" | none | none | none | the man row 13 : 2009 | "come in from the rain" | none | none | none | destroy the boy ep row 14 : 2010 | "destroy the boy" | none | none | none | destroy the boy ep row 15 : 2013 | "fade from view" | none | none | none | stop the bleeding row 16 : 2013 | "lifes bitter pills" | none | none | none | stop the bleeding | col : year row 1 : 2003 row 2 : 2003 | select year where album = 'for all the drugs in the world' <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & title & us hot 100 & us modern rock & us mainstream rock & album \\
\midrule
0 & 1994 & "neenah menasha" & none & none & none & rotting pinata \\
1 & 1994 & "plowed" & none & 5 & 9 & rotting pinata \\
2 & 1995 & "molly (16 candles down the drain)" & 55 & 3 & 11 & rotting pinata \\
3 & 1995 & "rainin'" & none & 34 & 18 & rotting pinata \\
4 & 1996 & "wax ecstatic (to sell angelina)" & none & 15 & 11 & wax ecstatic \\
5 & 1997 & "have you seen mary" & none & none & 7 & wax ecstatic \\
6 & 1999 & "live here without you" & none & none & none & new pop sunday \\
7 & 1999 & "1000 times" & none & none & none & new pop sunday \\
8 & 2003 & "treat me wrong" & none & none & none & for all the drugs in the world \\
9 & 2003 & "leave this world" & none & none & none & for all the drugs in the world \\
10 & 2005 & "the man" & none & none & none & the man \\
11 & 2005 & "higher (part 1)" & none & none & none & the man \\
12 & 2009 & "come in from the rain" & none & none & none & destroy the boy ep \\
13 & 2010 & "destroy the boy" & none & none & none & destroy the boy ep \\
14 & 2013 & "fade from view" & none & none & none & stop the bleeding \\
15 & 2013 & "lifes bitter pills" & none & none & none & stop the bleeding \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& year \\
\midrule
0 & 2003 \\
1 & 2003 \\
\bottomrule
\end{tabular}
| select year where album = 'for all the drugs in the world' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>title</th>
<th>us hot 100</th>
<th>us modern rock</th>
<th>us mainstream rock</th>
<th>album</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1994</td>
<td>"neenah menasha"</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>rotting pinata</td>
</tr>
<tr>
<th>1</th>
<td>1994</td>
<td>"plowed"</td>
<td>none</td>
<td>5</td>
<td>9</td>
<td>rotting pinata</td>
</tr>
<tr>
<th>2</th>
<td>1995</td>
<td>"molly (16 candles down the drain)"</td>
<td>55</td>
<td>3</td>
<td>11</td>
<td>rotting pinata</td>
</tr>
<tr>
<th>3</th>
<td>1995</td>
<td>"rainin'"</td>
<td>none</td>
<td>34</td>
<td>18</td>
<td>rotting pinata</td>
</tr>
<tr>
<th>4</th>
<td>1996</td>
<td>"wax ecstatic (to sell angelina)"</td>
<td>none</td>
<td>15</td>
<td>11</td>
<td>wax ecstatic</td>
</tr>
<tr>
<th>5</th>
<td>1997</td>
<td>"have you seen mary"</td>
<td>none</td>
<td>none</td>
<td>7</td>
<td>wax ecstatic</td>
</tr>
<tr>
<th>6</th>
<td>1999</td>
<td>"live here without you"</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>new pop sunday</td>
</tr>
<tr>
<th>7</th>
<td>1999</td>
<td>"1000 times"</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>new pop sunday</td>
</tr>
<tr>
<th>8</th>
<td>2003</td>
<td>"treat me wrong"</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>for all the drugs in the world</td>
</tr>
<tr>
<th>9</th>
<td>2003</td>
<td>"leave this world"</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>for all the drugs in the world</td>
</tr>
<tr>
<th>10</th>
<td>2005</td>
<td>"the man"</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>the man</td>
</tr>
<tr>
<th>11</th>
<td>2005</td>
<td>"higher (part 1)"</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>the man</td>
</tr>
<tr>
<th>12</th>
<td>2009</td>
<td>"come in from the rain"</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>destroy the boy ep</td>
</tr>
<tr>
<th>13</th>
<td>2010</td>
<td>"destroy the boy"</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>destroy the boy ep</td>
</tr>
<tr>
<th>14</th>
<td>2013</td>
<td>"fade from view"</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>stop the bleeding</td>
</tr>
<tr>
<th>15</th>
<td>2013</td>
<td>"lifes bitter pills"</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>stop the bleeding</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2003</td>
</tr>
<tr>
<th>1</th>
<td>2003</td>
</tr>
</tbody>
</table> | select year where album = 'for all the drugs in the world' <table_name> : table | | year | title | us hot 100 | us modern rock | us mainstream rock | album |
|---:|-------:|:------------------------------------|:-------------|:-----------------|:---------------------|:-------------------------------|
| 0 | 1994 | "neenah menasha" | none | none | none | rotting pinata |
| 1 | 1994 | "plowed" | none | 5 | 9 | rotting pinata |
| 2 | 1995 | "molly (16 candles down the drain)" | 55 | 3 | 11 | rotting pinata |
| 3 | 1995 | "rainin'" | none | 34 | 18 | rotting pinata |
| 4 | 1996 | "wax ecstatic (to sell angelina)" | none | 15 | 11 | wax ecstatic |
| 5 | 1997 | "have you seen mary" | none | none | 7 | wax ecstatic |
| 6 | 1999 | "live here without you" | none | none | none | new pop sunday |
| 7 | 1999 | "1000 times" | none | none | none | new pop sunday |
| 8 | 2003 | "treat me wrong" | none | none | none | for all the drugs in the world |
| 9 | 2003 | "leave this world" | none | none | none | for all the drugs in the world |
| 10 | 2005 | "the man" | none | none | none | the man |
| 11 | 2005 | "higher (part 1)" | none | none | none | the man |
| 12 | 2009 | "come in from the rain" | none | none | none | destroy the boy ep |
| 13 | 2010 | "destroy the boy" | none | none | none | destroy the boy ep |
| 14 | 2013 | "fade from view" | none | none | none | stop the bleeding |
| 15 | 2013 | "lifes bitter pills" | none | none | none | stop the bleeding | | | | year |
|---:|-------:|
| 0 | 2003 |
| 1 | 2003 | | [
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select count ( * ) where from = 'groningen' and to = 'ajax' col : rank | player | from | to | transfer fee (€ million) | year row 1 : 1 | miralem sulejmani | heerenveen | ajax | 16.25 | 2008 row 2 : 2 | strootman & mertens | utrecht | psv | 13.0 | 2011 row 3 : 3 | mateja kezman | partizan | psv | 11.3 | 2000 row 4 : 4 | klaas-jan huntelaar | heerenveen | ajax | 9.0 | 2006 row 5 : 5 | nikos machlas | vitesse | ajax | 8.6 | 1999 row 6 : 6 | zlatan ibrahimovic | malmo ff | ajax | 8.4 | 2001 row 7 : 7 | jan vennegoor of hesselink | twente | psv | 8.2 | 2001 row 8 : 8 | luis suarez | groningen | ajax | 7.5 | 2007 row 9 : 9 | dario cvitanich | banfield | ajax | 7.5 | 2008 row 10 : 10 | ferdi vierklau | tenerife | ajax | 7.3 | 1998 row 11 : 11 | adam maher | az | psv | 6.5 | 2013 | col : count ( "*" ) row 1 : 0 | select count ( * ) where from = 'groningen' and to = 'ajax' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & player & from & to & transfer fee (€ million) & year \\
\midrule
0 & 1 & miralem sulejmani & heerenveen & ajax & 16.25 & 2008 \\
1 & 2 & strootman & mertens & utrecht & psv & 13.0 & 2011 \\
2 & 3 & mateja kezman & partizan & psv & 11.3 & 2000 \\
3 & 4 & klaas-jan huntelaar & heerenveen & ajax & 9.0 & 2006 \\
4 & 5 & nikos machlas & vitesse & ajax & 8.6 & 1999 \\
5 & 6 & zlatan ibrahimovic & malmo ff & ajax & 8.4 & 2001 \\
6 & 7 & jan vennegoor of hesselink & twente & psv & 8.2 & 2001 \\
7 & 8 & luis suarez & groningen & ajax & 7.5 & 2007 \\
8 & 9 & dario cvitanich & banfield & ajax & 7.5 & 2008 \\
9 & 10 & ferdi vierklau & tenerife & ajax & 7.3 & 1998 \\
10 & 11 & adam maher & az & psv & 6.5 & 2013 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where from = 'groningen' and to = 'ajax' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>player</th>
<th>from</th>
<th>to</th>
<th>transfer fee (€ million)</th>
<th>year</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>miralem sulejmani</td>
<td>heerenveen</td>
<td>ajax</td>
<td>16.25</td>
<td>2008</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>strootman & mertens</td>
<td>utrecht</td>
<td>psv</td>
<td>13.0</td>
<td>2011</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>mateja kezman</td>
<td>partizan</td>
<td>psv</td>
<td>11.3</td>
<td>2000</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>klaas-jan huntelaar</td>
<td>heerenveen</td>
<td>ajax</td>
<td>9.0</td>
<td>2006</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>nikos machlas</td>
<td>vitesse</td>
<td>ajax</td>
<td>8.6</td>
<td>1999</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>zlatan ibrahimovic</td>
<td>malmo ff</td>
<td>ajax</td>
<td>8.4</td>
<td>2001</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>jan vennegoor of hesselink</td>
<td>twente</td>
<td>psv</td>
<td>8.2</td>
<td>2001</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>luis suarez</td>
<td>groningen</td>
<td>ajax</td>
<td>7.5</td>
<td>2007</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>dario cvitanich</td>
<td>banfield</td>
<td>ajax</td>
<td>7.5</td>
<td>2008</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>ferdi vierklau</td>
<td>tenerife</td>
<td>ajax</td>
<td>7.3</td>
<td>1998</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>adam maher</td>
<td>az</td>
<td>psv</td>
<td>6.5</td>
<td>2013</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( * ) where from = 'groningen' and to = 'ajax' <table_name> : table | | rank | player | from | to | transfer fee (€ million) | year |
|---:|-------:|:---------------------------|:-----------|:-----|---------------------------:|-------:|
| 0 | 1 | miralem sulejmani | heerenveen | ajax | 16.25 | 2008 |
| 1 | 2 | strootman & mertens | utrecht | psv | 13 | 2011 |
| 2 | 3 | mateja kezman | partizan | psv | 11.3 | 2000 |
| 3 | 4 | klaas-jan huntelaar | heerenveen | ajax | 9 | 2006 |
| 4 | 5 | nikos machlas | vitesse | ajax | 8.6 | 1999 |
| 5 | 6 | zlatan ibrahimovic | malmo ff | ajax | 8.4 | 2001 |
| 6 | 7 | jan vennegoor of hesselink | twente | psv | 8.2 | 2001 |
| 7 | 8 | luis suarez | groningen | ajax | 7.5 | 2007 |
| 8 | 9 | dario cvitanich | banfield | ajax | 7.5 | 2008 |
| 9 | 10 | ferdi vierklau | tenerife | ajax | 7.3 | 1998 |
| 10 | 11 | adam maher | az | psv | 6.5 | 2013 | | | | count ( "*" ) |
|---:|----------------:|
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select year where category = 'outstanding korean actor' col : year | award | category | nominated work | result row 1 : 2005 | mbc drama awards | best new actor | be strong, geum-soon! | won row 2 : 2005 | mbc drama awards | excellence award, actor | be strong, geum-soon! | won row 3 : 2007 | kbs drama awards | best couple award with han ji-min | capital scandal | won row 4 : 2007 | kbs drama awards | excellence award, actor in a miniseries | capital scandal | won row 5 : 2008 | 44th baeksang arts awards | popularity award | hong gil-dong | won row 6 : 2008 | 28th korean association of film critics awards | best new actor | rough cut | won row 7 : 2008 | 29th blue dragon film awards | best new actor | rough cut | won row 8 : 2008 | 7th korean film awards | best new actor | rough cut | won row 9 : 2008 | kbs drama awards | best couple award with sung yu-ri | hong gil-dong | won row 10 : 2008 | kbs drama awards | netizen award | hong gil-dong | won row 11 : 2009 | 45th baeksang arts awards | best new actor | rough cut | won row 12 : 2009 | 10th pusan film critics awards | best new actor | rough cut | won row 13 : 2009 | 46th grand bell awards | best new actor | my girlfriend is an agent | won row 14 : 2009 | 5th university film festival of korea | best new actor | my girlfriend is an agent | won row 15 : 2011 | 6th seoul international drama awards | outstanding korean actor | coffee house | nominated row 16 : 2011 | sbs drama awards | excellence award, actor in a special planning drama | lie to me | nominated row 17 : 2013 | sbs drama awards | top excellence award, actor in a drama special | incarnation of money | nominated row 18 : 2014 | 9th asia model festival awards | asia star award | none | won | col : year row 1 : 2011 | select year where category = 'outstanding korean actor' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & award & category & nominated work & result \\
\midrule
0 & 2005 & mbc drama awards & best new actor & be strong, geum-soon! & won \\
1 & 2005 & mbc drama awards & excellence award, actor & be strong, geum-soon! & won \\
2 & 2007 & kbs drama awards & best couple award with han ji-min & capital scandal & won \\
3 & 2007 & kbs drama awards & excellence award, actor in a miniseries & capital scandal & won \\
4 & 2008 & 44th baeksang arts awards & popularity award & hong gil-dong & won \\
5 & 2008 & 28th korean association of film critics awards & best new actor & rough cut & won \\
6 & 2008 & 29th blue dragon film awards & best new actor & rough cut & won \\
7 & 2008 & 7th korean film awards & best new actor & rough cut & won \\
8 & 2008 & kbs drama awards & best couple award with sung yu-ri & hong gil-dong & won \\
9 & 2008 & kbs drama awards & netizen award & hong gil-dong & won \\
10 & 2009 & 45th baeksang arts awards & best new actor & rough cut & won \\
11 & 2009 & 10th pusan film critics awards & best new actor & rough cut & won \\
12 & 2009 & 46th grand bell awards & best new actor & my girlfriend is an agent & won \\
13 & 2009 & 5th university film festival of korea & best new actor & my girlfriend is an agent & won \\
14 & 2011 & 6th seoul international drama awards & outstanding korean actor & coffee house & nominated \\
15 & 2011 & sbs drama awards & excellence award, actor in a special planning drama & lie to me & nominated \\
16 & 2013 & sbs drama awards & top excellence award, actor in a drama special & incarnation of money & nominated \\
17 & 2014 & 9th asia model festival awards & asia star award & none & won \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& year \\
\midrule
0 & 2011 \\
\bottomrule
\end{tabular}
| select year where category = 'outstanding korean actor' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>award</th>
<th>category</th>
<th>nominated work</th>
<th>result</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2005</td>
<td>mbc drama awards</td>
<td>best new actor</td>
<td>be strong, geum-soon!</td>
<td>won</td>
</tr>
<tr>
<th>1</th>
<td>2005</td>
<td>mbc drama awards</td>
<td>excellence award, actor</td>
<td>be strong, geum-soon!</td>
<td>won</td>
</tr>
<tr>
<th>2</th>
<td>2007</td>
<td>kbs drama awards</td>
<td>best couple award with han ji-min</td>
<td>capital scandal</td>
<td>won</td>
</tr>
<tr>
<th>3</th>
<td>2007</td>
<td>kbs drama awards</td>
<td>excellence award, actor in a miniseries</td>
<td>capital scandal</td>
<td>won</td>
</tr>
<tr>
<th>4</th>
<td>2008</td>
<td>44th baeksang arts awards</td>
<td>popularity award</td>
<td>hong gil-dong</td>
<td>won</td>
</tr>
<tr>
<th>5</th>
<td>2008</td>
<td>28th korean association of film critics awards</td>
<td>best new actor</td>
<td>rough cut</td>
<td>won</td>
</tr>
<tr>
<th>6</th>
<td>2008</td>
<td>29th blue dragon film awards</td>
<td>best new actor</td>
<td>rough cut</td>
<td>won</td>
</tr>
<tr>
<th>7</th>
<td>2008</td>
<td>7th korean film awards</td>
<td>best new actor</td>
<td>rough cut</td>
<td>won</td>
</tr>
<tr>
<th>8</th>
<td>2008</td>
<td>kbs drama awards</td>
<td>best couple award with sung yu-ri</td>
<td>hong gil-dong</td>
<td>won</td>
</tr>
<tr>
<th>9</th>
<td>2008</td>
<td>kbs drama awards</td>
<td>netizen award</td>
<td>hong gil-dong</td>
<td>won</td>
</tr>
<tr>
<th>10</th>
<td>2009</td>
<td>45th baeksang arts awards</td>
<td>best new actor</td>
<td>rough cut</td>
<td>won</td>
</tr>
<tr>
<th>11</th>
<td>2009</td>
<td>10th pusan film critics awards</td>
<td>best new actor</td>
<td>rough cut</td>
<td>won</td>
</tr>
<tr>
<th>12</th>
<td>2009</td>
<td>46th grand bell awards</td>
<td>best new actor</td>
<td>my girlfriend is an agent</td>
<td>won</td>
</tr>
<tr>
<th>13</th>
<td>2009</td>
<td>5th university film festival of korea</td>
<td>best new actor</td>
<td>my girlfriend is an agent</td>
<td>won</td>
</tr>
<tr>
<th>14</th>
<td>2011</td>
<td>6th seoul international drama awards</td>
<td>outstanding korean actor</td>
<td>coffee house</td>
<td>nominated</td>
</tr>
<tr>
<th>15</th>
<td>2011</td>
<td>sbs drama awards</td>
<td>excellence award, actor in a special planning drama</td>
<td>lie to me</td>
<td>nominated</td>
</tr>
<tr>
<th>16</th>
<td>2013</td>
<td>sbs drama awards</td>
<td>top excellence award, actor in a drama special</td>
<td>incarnation of money</td>
<td>nominated</td>
</tr>
<tr>
<th>17</th>
<td>2014</td>
<td>9th asia model festival awards</td>
<td>asia star award</td>
<td>none</td>
<td>won</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2011</td>
</tr>
</tbody>
</table> | select year where category = 'outstanding korean actor' <table_name> : table | | year | award | category | nominated work | result |
|---:|-------:|:-----------------------------------------------|:----------------------------------------------------|:--------------------------|:----------|
| 0 | 2005 | mbc drama awards | best new actor | be strong, geum-soon! | won |
| 1 | 2005 | mbc drama awards | excellence award, actor | be strong, geum-soon! | won |
| 2 | 2007 | kbs drama awards | best couple award with han ji-min | capital scandal | won |
| 3 | 2007 | kbs drama awards | excellence award, actor in a miniseries | capital scandal | won |
| 4 | 2008 | 44th baeksang arts awards | popularity award | hong gil-dong | won |
| 5 | 2008 | 28th korean association of film critics awards | best new actor | rough cut | won |
| 6 | 2008 | 29th blue dragon film awards | best new actor | rough cut | won |
| 7 | 2008 | 7th korean film awards | best new actor | rough cut | won |
| 8 | 2008 | kbs drama awards | best couple award with sung yu-ri | hong gil-dong | won |
| 9 | 2008 | kbs drama awards | netizen award | hong gil-dong | won |
| 10 | 2009 | 45th baeksang arts awards | best new actor | rough cut | won |
| 11 | 2009 | 10th pusan film critics awards | best new actor | rough cut | won |
| 12 | 2009 | 46th grand bell awards | best new actor | my girlfriend is an agent | won |
| 13 | 2009 | 5th university film festival of korea | best new actor | my girlfriend is an agent | won |
| 14 | 2011 | 6th seoul international drama awards | outstanding korean actor | coffee house | nominated |
| 15 | 2011 | sbs drama awards | excellence award, actor in a special planning drama | lie to me | nominated |
| 16 | 2013 | sbs drama awards | top excellence award, actor in a drama special | incarnation of money | nominated |
| 17 | 2014 | 9th asia model festival awards | asia star award | none | won | | | | year |
|---:|-------:|
| 0 | 2011 | | [
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select count ( distinct swimmer ) where country = 'costa rica' col : rank | swimmer | country | time | note row 1 : 1 | claudia poll | costa rica | 57.43 | q row 2 : 2 | vanessa garcia | puerto rico | 57.95 | q row 3 : 3 | arlene semeco | venezuela | 58.11 | q row 4 : 4 | heysi villarreal | cuba | 58.67 | q row 5 : 5 | mariana alvarado | mexico | 58.69 | q row 6 : 6 | carolina moreno | mexico | 59.11 | q row 7 : 7 | isabella tafur | colombia | 59.7 | q row 8 : 8 | ximena maria vilar | venezuela | 59.79 | q row 9 : 9 | nikia hillarie | bahamas | 59.92 | none row 10 : 10 | sharon fajardo | honduras | 1:00.45 | none row 11 : 11 | maria alvarez | colombia | 1:00.76 | none row 12 : 12 | alia atkinson | jamaica | 1:01.17 | none row 13 : 13 | alexis jordan | barbados | 1:01.79 | none row 14 : 14 | sharntelle mclean | trinidad and tobago | 1:03.26 | none row 15 : 15 | jennifer powell | cayman islands | 1:03.41 | none row 16 : 16 | nishani cicilson | suriname | 1:03.88 | none row 17 : 17 | sade daal | suriname | 1:04.70 | none row 18 : 18 | dalia torrez | nicaragua | 1:05.69 | none row 19 : none | gisela morales | guatemala | dns | none row 20 : none | alana dillette | bahamas | dns | none row 21 : none | pamela benitez | el salvador | dns | none row 22 : none | nilshaira isenia | netherlands antilles | dns | none | col : count ( "distinct swimmer" ) row 1 : 1 | select count ( distinct swimmer ) where country = 'costa rica' <table_name> : table \begin{tabular}{llllll}
\toprule
& rank & swimmer & country & time & note \\
\midrule
0 & 1 & claudia poll & costa rica & 57.43 & q \\
1 & 2 & vanessa garcia & puerto rico & 57.95 & q \\
2 & 3 & arlene semeco & venezuela & 58.11 & q \\
3 & 4 & heysi villarreal & cuba & 58.67 & q \\
4 & 5 & mariana alvarado & mexico & 58.69 & q \\
5 & 6 & carolina moreno & mexico & 59.11 & q \\
6 & 7 & isabella tafur & colombia & 59.7 & q \\
7 & 8 & ximena maria vilar & venezuela & 59.79 & q \\
8 & 9 & nikia hillarie & bahamas & 59.92 & none \\
9 & 10 & sharon fajardo & honduras & 1:00.45 & none \\
10 & 11 & maria alvarez & colombia & 1:00.76 & none \\
11 & 12 & alia atkinson & jamaica & 1:01.17 & none \\
12 & 13 & alexis jordan & barbados & 1:01.79 & none \\
13 & 14 & sharntelle mclean & trinidad and tobago & 1:03.26 & none \\
14 & 15 & jennifer powell & cayman islands & 1:03.41 & none \\
15 & 16 & nishani cicilson & suriname & 1:03.88 & none \\
16 & 17 & sade daal & suriname & 1:04.70 & none \\
17 & 18 & dalia torrez & nicaragua & 1:05.69 & none \\
18 & none & gisela morales & guatemala & dns & none \\
19 & none & alana dillette & bahamas & dns & none \\
20 & none & pamela benitez & el salvador & dns & none \\
21 & none & nilshaira isenia & netherlands antilles & dns & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "distinct swimmer" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( distinct swimmer ) where country = 'costa rica' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>swimmer</th>
<th>country</th>
<th>time</th>
<th>note</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>claudia poll</td>
<td>costa rica</td>
<td>57.43</td>
<td>q</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>vanessa garcia</td>
<td>puerto rico</td>
<td>57.95</td>
<td>q</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>arlene semeco</td>
<td>venezuela</td>
<td>58.11</td>
<td>q</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>heysi villarreal</td>
<td>cuba</td>
<td>58.67</td>
<td>q</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>mariana alvarado</td>
<td>mexico</td>
<td>58.69</td>
<td>q</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>carolina moreno</td>
<td>mexico</td>
<td>59.11</td>
<td>q</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>isabella tafur</td>
<td>colombia</td>
<td>59.7</td>
<td>q</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>ximena maria vilar</td>
<td>venezuela</td>
<td>59.79</td>
<td>q</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>nikia hillarie</td>
<td>bahamas</td>
<td>59.92</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>sharon fajardo</td>
<td>honduras</td>
<td>1:00.45</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>maria alvarez</td>
<td>colombia</td>
<td>1:00.76</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>alia atkinson</td>
<td>jamaica</td>
<td>1:01.17</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>alexis jordan</td>
<td>barbados</td>
<td>1:01.79</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>sharntelle mclean</td>
<td>trinidad and tobago</td>
<td>1:03.26</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>jennifer powell</td>
<td>cayman islands</td>
<td>1:03.41</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>nishani cicilson</td>
<td>suriname</td>
<td>1:03.88</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>sade daal</td>
<td>suriname</td>
<td>1:04.70</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>dalia torrez</td>
<td>nicaragua</td>
<td>1:05.69</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>none</td>
<td>gisela morales</td>
<td>guatemala</td>
<td>dns</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>none</td>
<td>alana dillette</td>
<td>bahamas</td>
<td>dns</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>none</td>
<td>pamela benitez</td>
<td>el salvador</td>
<td>dns</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>none</td>
<td>nilshaira isenia</td>
<td>netherlands antilles</td>
<td>dns</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "distinct swimmer" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( distinct swimmer ) where country = 'costa rica' <table_name> : table | | rank | swimmer | country | time | note |
|---:|:-------|:-------------------|:---------------------|:--------|:-------|
| 0 | 1 | claudia poll | costa rica | 57.43 | q |
| 1 | 2 | vanessa garcia | puerto rico | 57.95 | q |
| 2 | 3 | arlene semeco | venezuela | 58.11 | q |
| 3 | 4 | heysi villarreal | cuba | 58.67 | q |
| 4 | 5 | mariana alvarado | mexico | 58.69 | q |
| 5 | 6 | carolina moreno | mexico | 59.11 | q |
| 6 | 7 | isabella tafur | colombia | 59.7 | q |
| 7 | 8 | ximena maria vilar | venezuela | 59.79 | q |
| 8 | 9 | nikia hillarie | bahamas | 59.92 | none |
| 9 | 10 | sharon fajardo | honduras | 1:00.45 | none |
| 10 | 11 | maria alvarez | colombia | 1:00.76 | none |
| 11 | 12 | alia atkinson | jamaica | 1:01.17 | none |
| 12 | 13 | alexis jordan | barbados | 1:01.79 | none |
| 13 | 14 | sharntelle mclean | trinidad and tobago | 1:03.26 | none |
| 14 | 15 | jennifer powell | cayman islands | 1:03.41 | none |
| 15 | 16 | nishani cicilson | suriname | 1:03.88 | none |
| 16 | 17 | sade daal | suriname | 1:04.70 | none |
| 17 | 18 | dalia torrez | nicaragua | 1:05.69 | none |
| 18 | none | gisela morales | guatemala | dns | none |
| 19 | none | alana dillette | bahamas | dns | none |
| 20 | none | pamela benitez | el salvador | dns | none |
| 21 | none | nilshaira isenia | netherlands antilles | dns | none | | | | count ( "distinct swimmer" ) |
|---:|-------------------------------:|
| 0 | 1 | | [
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select country where total < 708 col : player | country | year(s) won | r1 | r2 | total | to par row 1 : don january | united states | 1967 | 76 | 74 | 150 | 6 row 2 : jack burke, jr | united states | 1956 | 75 | 75 | 150 | 6 row 3 : raymond floyd | united states | 1969 | 77 | 74 | 151 | 7 row 4 : jay hebert | united states | 1960 | 74 | 79 | 153 | 9 row 5 : dow finsterwald | united states | 1958 | 79 | 74 | 153 | 9 row 6 : doug ford | united states | 1955 | 77 | 80 | 154 | 14 row 7 : jerry barber | united states | 1961 | 78 | 80 | 158 | 14 row 8 : gene sarazen | united states | 1922, 1923, 1933 | 81 | 79 | 160 | 16 row 9 : walter burkemo | united states | 1953 | 83 | 79 | 162 | 18 row 10 : denny shute | united states | 1936, 1937 | 81 | 87 | 168 | 24 | col : count ( "country" ) row 1 : 10 | select country where total < 708 <table_name> : table \begin{tabular}{llllllll}
\toprule
& player & country & year(s) won & r1 & r2 & total & to par \\
\midrule
0 & don january & united states & 1967 & 76 & 74 & 150 & 6 \\
1 & jack burke, jr & united states & 1956 & 75 & 75 & 150 & 6 \\
2 & raymond floyd & united states & 1969 & 77 & 74 & 151 & 7 \\
3 & jay hebert & united states & 1960 & 74 & 79 & 153 & 9 \\
4 & dow finsterwald & united states & 1958 & 79 & 74 & 153 & 9 \\
5 & doug ford & united states & 1955 & 77 & 80 & 154 & 14 \\
6 & jerry barber & united states & 1961 & 78 & 80 & 158 & 14 \\
7 & gene sarazen & united states & 1922, 1923, 1933 & 81 & 79 & 160 & 16 \\
8 & walter burkemo & united states & 1953 & 83 & 79 & 162 & 18 \\
9 & denny shute & united states & 1936, 1937 & 81 & 87 & 168 & 24 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "country" ) \\
\midrule
0 & 10 \\
\bottomrule
\end{tabular}
| select country where total < 708 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>player</th>
<th>country</th>
<th>year(s) won</th>
<th>r1</th>
<th>r2</th>
<th>total</th>
<th>to par</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>don january</td>
<td>united states</td>
<td>1967</td>
<td>76</td>
<td>74</td>
<td>150</td>
<td>6</td>
</tr>
<tr>
<th>1</th>
<td>jack burke, jr</td>
<td>united states</td>
<td>1956</td>
<td>75</td>
<td>75</td>
<td>150</td>
<td>6</td>
</tr>
<tr>
<th>2</th>
<td>raymond floyd</td>
<td>united states</td>
<td>1969</td>
<td>77</td>
<td>74</td>
<td>151</td>
<td>7</td>
</tr>
<tr>
<th>3</th>
<td>jay hebert</td>
<td>united states</td>
<td>1960</td>
<td>74</td>
<td>79</td>
<td>153</td>
<td>9</td>
</tr>
<tr>
<th>4</th>
<td>dow finsterwald</td>
<td>united states</td>
<td>1958</td>
<td>79</td>
<td>74</td>
<td>153</td>
<td>9</td>
</tr>
<tr>
<th>5</th>
<td>doug ford</td>
<td>united states</td>
<td>1955</td>
<td>77</td>
<td>80</td>
<td>154</td>
<td>14</td>
</tr>
<tr>
<th>6</th>
<td>jerry barber</td>
<td>united states</td>
<td>1961</td>
<td>78</td>
<td>80</td>
<td>158</td>
<td>14</td>
</tr>
<tr>
<th>7</th>
<td>gene sarazen</td>
<td>united states</td>
<td>1922, 1923, 1933</td>
<td>81</td>
<td>79</td>
<td>160</td>
<td>16</td>
</tr>
<tr>
<th>8</th>
<td>walter burkemo</td>
<td>united states</td>
<td>1953</td>
<td>83</td>
<td>79</td>
<td>162</td>
<td>18</td>
</tr>
<tr>
<th>9</th>
<td>denny shute</td>
<td>united states</td>
<td>1936, 1937</td>
<td>81</td>
<td>87</td>
<td>168</td>
<td>24</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "country" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>10</td>
</tr>
</tbody>
</table> | select country where total < 708 <table_name> : table | | player | country | year(s) won | r1 | r2 | total | to par |
|---:|:----------------|:--------------|:-----------------|-----:|-----:|--------:|---------:|
| 0 | don january | united states | 1967 | 76 | 74 | 150 | 6 |
| 1 | jack burke, jr | united states | 1956 | 75 | 75 | 150 | 6 |
| 2 | raymond floyd | united states | 1969 | 77 | 74 | 151 | 7 |
| 3 | jay hebert | united states | 1960 | 74 | 79 | 153 | 9 |
| 4 | dow finsterwald | united states | 1958 | 79 | 74 | 153 | 9 |
| 5 | doug ford | united states | 1955 | 77 | 80 | 154 | 14 |
| 6 | jerry barber | united states | 1961 | 78 | 80 | 158 | 14 |
| 7 | gene sarazen | united states | 1922, 1923, 1933 | 81 | 79 | 160 | 16 |
| 8 | walter burkemo | united states | 1953 | 83 | 79 | 162 | 18 |
| 9 | denny shute | united states | 1936, 1937 | 81 | 87 | 168 | 24 | | | | count ( "country" ) |
|---:|----------------------:|
| 0 | 10 | | [
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select count ( * ) where program = 62 col : et | days available | program | host(s) | description row 1 : 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w-f) | current events row 2 : 10am-10:30am | monday-friday | none | lauren green (m), uma pemmaraju (t), gregg jarrett (w), arthel neville (f), rick folbaum (f), heather childers | current events row 3 : 11am-11:30am | monday-friday | fbn live | lauren simonetti | business news and information row 4 : 12pm-1pm | monday-friday | on the hunt | jonathan hunt | current events row 5 : 2pm-3pm | monday | entertainment hour | ashley dvorkin | entertainment news, musical performances row 6 : 2pm-3pm | tuesday | none | kimberly guilfoyle | crime and legal news row 7 : 2pm-3pm | wednesday | defcon 3 | kathleen troia mcfarland | military news and information row 8 : 2pm-3pm | thursday | fox car report | gary gastelu | automotive news and information row 9 : 2pm-3pm | friday | spirited debate | lauren green | discussion on religious topics | col : count ( "*" ) row 1 : 0 | select count ( * ) where program = 62 <table_name> : table \begin{tabular}{llllll}
\toprule
& et & days available & program & host(s) & description \\
\midrule
0 & 9am-10am & monday-friday & the morning click & jamie colby (m,t), harris faulkner (w-f) & current events \\
1 & 10am-10:30am & monday-friday & none & lauren green (m), uma pemmaraju (t), gregg jarrett (w), arthel neville (f), rick folbaum (f), heather childers & current events \\
2 & 11am-11:30am & monday-friday & fbn live & lauren simonetti & business news and information \\
3 & 12pm-1pm & monday-friday & on the hunt & jonathan hunt & current events \\
4 & 2pm-3pm & monday & entertainment hour & ashley dvorkin & entertainment news, musical performances \\
5 & 2pm-3pm & tuesday & none & kimberly guilfoyle & crime and legal news \\
6 & 2pm-3pm & wednesday & defcon 3 & kathleen troia mcfarland & military news and information \\
7 & 2pm-3pm & thursday & fox car report & gary gastelu & automotive news and information \\
8 & 2pm-3pm & friday & spirited debate & lauren green & discussion on religious topics \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where program = 62 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>et</th>
<th>days available</th>
<th>program</th>
<th>host(s)</th>
<th>description</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>9am-10am</td>
<td>monday-friday</td>
<td>the morning click</td>
<td>jamie colby (m,t), harris faulkner (w-f)</td>
<td>current events</td>
</tr>
<tr>
<th>1</th>
<td>10am-10:30am</td>
<td>monday-friday</td>
<td>none</td>
<td>lauren green (m), uma pemmaraju (t), gregg jarrett (w), arthel neville (f), rick folbaum (f), heather childers</td>
<td>current events</td>
</tr>
<tr>
<th>2</th>
<td>11am-11:30am</td>
<td>monday-friday</td>
<td>fbn live</td>
<td>lauren simonetti</td>
<td>business news and information</td>
</tr>
<tr>
<th>3</th>
<td>12pm-1pm</td>
<td>monday-friday</td>
<td>on the hunt</td>
<td>jonathan hunt</td>
<td>current events</td>
</tr>
<tr>
<th>4</th>
<td>2pm-3pm</td>
<td>monday</td>
<td>entertainment hour</td>
<td>ashley dvorkin</td>
<td>entertainment news, musical performances</td>
</tr>
<tr>
<th>5</th>
<td>2pm-3pm</td>
<td>tuesday</td>
<td>none</td>
<td>kimberly guilfoyle</td>
<td>crime and legal news</td>
</tr>
<tr>
<th>6</th>
<td>2pm-3pm</td>
<td>wednesday</td>
<td>defcon 3</td>
<td>kathleen troia mcfarland</td>
<td>military news and information</td>
</tr>
<tr>
<th>7</th>
<td>2pm-3pm</td>
<td>thursday</td>
<td>fox car report</td>
<td>gary gastelu</td>
<td>automotive news and information</td>
</tr>
<tr>
<th>8</th>
<td>2pm-3pm</td>
<td>friday</td>
<td>spirited debate</td>
<td>lauren green</td>
<td>discussion on religious topics</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( * ) where program = 62 <table_name> : table | | et | days available | program | host(s) | description |
|---:|:-------------|:-----------------|:-------------------|:---------------------------------------------------------------------------------------------------------------|:-----------------------------------------|
| 0 | 9am-10am | monday-friday | the morning click | jamie colby (m,t), harris faulkner (w-f) | current events |
| 1 | 10am-10:30am | monday-friday | none | lauren green (m), uma pemmaraju (t), gregg jarrett (w), arthel neville (f), rick folbaum (f), heather childers | current events |
| 2 | 11am-11:30am | monday-friday | fbn live | lauren simonetti | business news and information |
| 3 | 12pm-1pm | monday-friday | on the hunt | jonathan hunt | current events |
| 4 | 2pm-3pm | monday | entertainment hour | ashley dvorkin | entertainment news, musical performances |
| 5 | 2pm-3pm | tuesday | none | kimberly guilfoyle | crime and legal news |
| 6 | 2pm-3pm | wednesday | defcon 3 | kathleen troia mcfarland | military news and information |
| 7 | 2pm-3pm | thursday | fox car report | gary gastelu | automotive news and information |
| 8 | 2pm-3pm | friday | spirited debate | lauren green | discussion on religious topics | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select thermal cond. where thermal cond. = 'poor' col : material | formula | refractive index(es) 589.3 nm | dispersion 431 - 687 nm | hardness (mohs' scale) | density (g/cm3) | thermal cond. | state of the art row 1 : diamond | c | 2.417 | 0.044 | 10 | 3.52 | excellent | (natural) row 2 : glasses | silica with pb, al, &/or tl | ~ 1.6 | > 0.020 | < 6 | 2.4 - 4.2 | poor | 1700 - row 3 : white sapphire | al2o3 | 1.762 - 1.770 | 0.018 | 9 | 3.97 | poor | 1900-1947 row 4 : spinel | mgo·al2o3 | 1.727 | 0.02 | 8 | ~ 3.6 | poor | 1920-1947 row 5 : rutile | tio2 | 2.62 - 2.9 | 0.33 | ~ 6 | 4.25 | poor | 1947-1955 row 6 : strontium titanate | srtio3 | 2.41 | 0.19 | 5.5 | 5.13 | poor | 1955-1970 row 7 : yag | y3al5o12 | 1.83 | 0.028 | 8.25 | 4.55 - 4.65 | poor | 1970-1975 row 8 : ggg | gd3ga5o12 | 1.97 | 0.045 | 7 | 7.02 | poor | 1973-1975 row 9 : cubic zirconia | zro2(+ rare earths) | ~ 2.2 | ~ 0.06 | ~ 8.3 | ~ 5.7 | poor | 1976 - row 10 : moissanite | sic | 2.648 - 2.691 | 0.104 | 8.5-9.25 | 3.2 | high | 1998 - row 11 : quartz | silica | 1.543 - 1.554 | none | 7- | 2.50 - 2.65 | none | ancient | col : thermal cond. row 1 : poor row 2 : poor row 3 : poor row 4 : poor row 5 : poor row 6 : poor row 7 : poor row 8 : poor | select thermal cond. where thermal cond. = 'poor' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& material & formula & refractive index(es) 589.3 nm & dispersion 431 - 687 nm & hardness (mohs' scale) & density (g/cm3) & thermal cond. & state of the art \\
\midrule
0 & diamond & c & 2.417 & 0.044 & 10 & 3.52 & excellent & (natural) \\
1 & glasses & silica with pb, al, &/or tl & ~ 1.6 & > 0.020 & < 6 & 2.4 - 4.2 & poor & 1700 - \\
2 & white sapphire & al2o3 & 1.762 - 1.770 & 0.018 & 9 & 3.97 & poor & 1900-1947 \\
3 & spinel & mgo·al2o3 & 1.727 & 0.02 & 8 & ~ 3.6 & poor & 1920-1947 \\
4 & rutile & tio2 & 2.62 - 2.9 & 0.33 & ~ 6 & 4.25 & poor & 1947-1955 \\
5 & strontium titanate & srtio3 & 2.41 & 0.19 & 5.5 & 5.13 & poor & 1955-1970 \\
6 & yag & y3al5o12 & 1.83 & 0.028 & 8.25 & 4.55 - 4.65 & poor & 1970-1975 \\
7 & ggg & gd3ga5o12 & 1.97 & 0.045 & 7 & 7.02 & poor & 1973-1975 \\
8 & cubic zirconia & zro2(+ rare earths) & ~ 2.2 & ~ 0.06 & ~ 8.3 & ~ 5.7 & poor & 1976 - \\
9 & moissanite & sic & 2.648 - 2.691 & 0.104 & 8.5-9.25 & 3.2 & high & 1998 - \\
10 & quartz & silica & 1.543 - 1.554 & none & 7- & 2.50 - 2.65 & none & ancient \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& thermal cond. \\
\midrule
0 & poor \\
1 & poor \\
2 & poor \\
3 & poor \\
4 & poor \\
5 & poor \\
6 & poor \\
7 & poor \\
\bottomrule
\end{tabular}
| select thermal cond. where thermal cond. = 'poor' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>material</th>
<th>formula</th>
<th>refractive index(es) 589.3 nm</th>
<th>dispersion 431 - 687 nm</th>
<th>hardness (mohs' scale)</th>
<th>density (g/cm3)</th>
<th>thermal cond.</th>
<th>state of the art</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>diamond</td>
<td>c</td>
<td>2.417</td>
<td>0.044</td>
<td>10</td>
<td>3.52</td>
<td>excellent</td>
<td>(natural)</td>
</tr>
<tr>
<th>1</th>
<td>glasses</td>
<td>silica with pb, al, &/or tl</td>
<td>~ 1.6</td>
<td>> 0.020</td>
<td>< 6</td>
<td>2.4 - 4.2</td>
<td>poor</td>
<td>1700 -</td>
</tr>
<tr>
<th>2</th>
<td>white sapphire</td>
<td>al2o3</td>
<td>1.762 - 1.770</td>
<td>0.018</td>
<td>9</td>
<td>3.97</td>
<td>poor</td>
<td>1900-1947</td>
</tr>
<tr>
<th>3</th>
<td>spinel</td>
<td>mgo·al2o3</td>
<td>1.727</td>
<td>0.02</td>
<td>8</td>
<td>~ 3.6</td>
<td>poor</td>
<td>1920-1947</td>
</tr>
<tr>
<th>4</th>
<td>rutile</td>
<td>tio2</td>
<td>2.62 - 2.9</td>
<td>0.33</td>
<td>~ 6</td>
<td>4.25</td>
<td>poor</td>
<td>1947-1955</td>
</tr>
<tr>
<th>5</th>
<td>strontium titanate</td>
<td>srtio3</td>
<td>2.41</td>
<td>0.19</td>
<td>5.5</td>
<td>5.13</td>
<td>poor</td>
<td>1955-1970</td>
</tr>
<tr>
<th>6</th>
<td>yag</td>
<td>y3al5o12</td>
<td>1.83</td>
<td>0.028</td>
<td>8.25</td>
<td>4.55 - 4.65</td>
<td>poor</td>
<td>1970-1975</td>
</tr>
<tr>
<th>7</th>
<td>ggg</td>
<td>gd3ga5o12</td>
<td>1.97</td>
<td>0.045</td>
<td>7</td>
<td>7.02</td>
<td>poor</td>
<td>1973-1975</td>
</tr>
<tr>
<th>8</th>
<td>cubic zirconia</td>
<td>zro2(+ rare earths)</td>
<td>~ 2.2</td>
<td>~ 0.06</td>
<td>~ 8.3</td>
<td>~ 5.7</td>
<td>poor</td>
<td>1976 -</td>
</tr>
<tr>
<th>9</th>
<td>moissanite</td>
<td>sic</td>
<td>2.648 - 2.691</td>
<td>0.104</td>
<td>8.5-9.25</td>
<td>3.2</td>
<td>high</td>
<td>1998 -</td>
</tr>
<tr>
<th>10</th>
<td>quartz</td>
<td>silica</td>
<td>1.543 - 1.554</td>
<td>none</td>
<td>7-</td>
<td>2.50 - 2.65</td>
<td>none</td>
<td>ancient</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>thermal cond.</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>poor</td>
</tr>
<tr>
<th>1</th>
<td>poor</td>
</tr>
<tr>
<th>2</th>
<td>poor</td>
</tr>
<tr>
<th>3</th>
<td>poor</td>
</tr>
<tr>
<th>4</th>
<td>poor</td>
</tr>
<tr>
<th>5</th>
<td>poor</td>
</tr>
<tr>
<th>6</th>
<td>poor</td>
</tr>
<tr>
<th>7</th>
<td>poor</td>
</tr>
</tbody>
</table> | select thermal cond. where thermal cond. = 'poor' <table_name> : table | | material | formula | refractive index(es) 589.3 nm | dispersion 431 - 687 nm | hardness (mohs' scale) | density (g/cm3) | thermal cond. | state of the art |
|---:|:-------------------|:----------------------------|:--------------------------------|:--------------------------|:-------------------------|:------------------|:----------------|:-------------------|
| 0 | diamond | c | 2.417 | 0.044 | 10 | 3.52 | excellent | (natural) |
| 1 | glasses | silica with pb, al, &/or tl | ~ 1.6 | > 0.020 | < 6 | 2.4 - 4.2 | poor | 1700 - |
| 2 | white sapphire | al2o3 | 1.762 - 1.770 | 0.018 | 9 | 3.97 | poor | 1900-1947 |
| 3 | spinel | mgo·al2o3 | 1.727 | 0.02 | 8 | ~ 3.6 | poor | 1920-1947 |
| 4 | rutile | tio2 | 2.62 - 2.9 | 0.33 | ~ 6 | 4.25 | poor | 1947-1955 |
| 5 | strontium titanate | srtio3 | 2.41 | 0.19 | 5.5 | 5.13 | poor | 1955-1970 |
| 6 | yag | y3al5o12 | 1.83 | 0.028 | 8.25 | 4.55 - 4.65 | poor | 1970-1975 |
| 7 | ggg | gd3ga5o12 | 1.97 | 0.045 | 7 | 7.02 | poor | 1973-1975 |
| 8 | cubic zirconia | zro2(+ rare earths) | ~ 2.2 | ~ 0.06 | ~ 8.3 | ~ 5.7 | poor | 1976 - |
| 9 | moissanite | sic | 2.648 - 2.691 | 0.104 | 8.5-9.25 | 3.2 | high | 1998 - |
| 10 | quartz | silica | 1.543 - 1.554 | none | 7- | 2.50 - 2.65 | none | ancient | | | | thermal cond. |
|---:|:----------------|
| 0 | poor |
| 1 | poor |
| 2 | poor |
| 3 | poor |
| 4 | poor |
| 5 | poor |
| 6 | poor |
| 7 | poor | | [
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select count ( * ) where goals conceded = 32 col : place | team | played | won | draw | lost | goals scored | goals conceded | +/- | points row 1 : 1 | c.d. fas | 18 | 10 | 6 | 2 | 27 | 13 | 14 | 36 row 2 : 2 | c.d. aguila | 18 | 9 | 4 | 5 | 38 | 26 | 12 | 31 row 3 : 3 | c.d. luis angel firpo | 18 | 7 | 7 | 4 | 25 | 18 | 7 | 28 row 4 : 4 | san salvador f.c | 18 | 8 | 4 | 6 | 31 | 27 | 4 | 28 row 5 : 5 | alianza f.c | 18 | 8 | 4 | 6 | 26 | 24 | 2 | 28 row 6 : 6 | a.d. isidro metapan | 18 | 4 | 9 | 5 | 20 | 23 | -3 | 21 row 7 : 7 | municipal limeno | 18 | 5 | 5 | 8 | 27 | 29 | -2 | 20 row 8 : 8 | c.d. arcense | 18 | 2 | 11 | 5 | 23 | 32 | -11 | 17 row 9 : 9 | chalatenango | 18 | 4 | 5 | 9 | 13 | 22 | -9 | 17 row 10 : 10 | c.d. atletico balboa | 18 | 4 | 3 | 11 | 15 | 31 | -24 | 15 | col : count ( "*" ) row 1 : 1 | select count ( * ) where goals conceded = 32 <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& place & team & played & won & draw & lost & goals scored & goals conceded & +/- & points \\
\midrule
0 & 1 & c.d. fas & 18 & 10 & 6 & 2 & 27 & 13 & 14 & 36 \\
1 & 2 & c.d. aguila & 18 & 9 & 4 & 5 & 38 & 26 & 12 & 31 \\
2 & 3 & c.d. luis angel firpo & 18 & 7 & 7 & 4 & 25 & 18 & 7 & 28 \\
3 & 4 & san salvador f.c & 18 & 8 & 4 & 6 & 31 & 27 & 4 & 28 \\
4 & 5 & alianza f.c & 18 & 8 & 4 & 6 & 26 & 24 & 2 & 28 \\
5 & 6 & a.d. isidro metapan & 18 & 4 & 9 & 5 & 20 & 23 & -3 & 21 \\
6 & 7 & municipal limeno & 18 & 5 & 5 & 8 & 27 & 29 & -2 & 20 \\
7 & 8 & c.d. arcense & 18 & 2 & 11 & 5 & 23 & 32 & -11 & 17 \\
8 & 9 & chalatenango & 18 & 4 & 5 & 9 & 13 & 22 & -9 & 17 \\
9 & 10 & c.d. atletico balboa & 18 & 4 & 3 & 11 & 15 & 31 & -24 & 15 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where goals conceded = 32 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>place</th>
<th>team</th>
<th>played</th>
<th>won</th>
<th>draw</th>
<th>lost</th>
<th>goals scored</th>
<th>goals conceded</th>
<th>+/-</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>c.d. fas</td>
<td>18</td>
<td>10</td>
<td>6</td>
<td>2</td>
<td>27</td>
<td>13</td>
<td>14</td>
<td>36</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>c.d. aguila</td>
<td>18</td>
<td>9</td>
<td>4</td>
<td>5</td>
<td>38</td>
<td>26</td>
<td>12</td>
<td>31</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>c.d. luis angel firpo</td>
<td>18</td>
<td>7</td>
<td>7</td>
<td>4</td>
<td>25</td>
<td>18</td>
<td>7</td>
<td>28</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>san salvador f.c</td>
<td>18</td>
<td>8</td>
<td>4</td>
<td>6</td>
<td>31</td>
<td>27</td>
<td>4</td>
<td>28</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>alianza f.c</td>
<td>18</td>
<td>8</td>
<td>4</td>
<td>6</td>
<td>26</td>
<td>24</td>
<td>2</td>
<td>28</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>a.d. isidro metapan</td>
<td>18</td>
<td>4</td>
<td>9</td>
<td>5</td>
<td>20</td>
<td>23</td>
<td>-3</td>
<td>21</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>municipal limeno</td>
<td>18</td>
<td>5</td>
<td>5</td>
<td>8</td>
<td>27</td>
<td>29</td>
<td>-2</td>
<td>20</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>c.d. arcense</td>
<td>18</td>
<td>2</td>
<td>11</td>
<td>5</td>
<td>23</td>
<td>32</td>
<td>-11</td>
<td>17</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>chalatenango</td>
<td>18</td>
<td>4</td>
<td>5</td>
<td>9</td>
<td>13</td>
<td>22</td>
<td>-9</td>
<td>17</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>c.d. atletico balboa</td>
<td>18</td>
<td>4</td>
<td>3</td>
<td>11</td>
<td>15</td>
<td>31</td>
<td>-24</td>
<td>15</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( * ) where goals conceded = 32 <table_name> : table | | place | team | played | won | draw | lost | goals scored | goals conceded | +/- | points |
|---:|--------:|:----------------------|---------:|------:|-------:|-------:|---------------:|-----------------:|------:|---------:|
| 0 | 1 | c.d. fas | 18 | 10 | 6 | 2 | 27 | 13 | 14 | 36 |
| 1 | 2 | c.d. aguila | 18 | 9 | 4 | 5 | 38 | 26 | 12 | 31 |
| 2 | 3 | c.d. luis angel firpo | 18 | 7 | 7 | 4 | 25 | 18 | 7 | 28 |
| 3 | 4 | san salvador f.c | 18 | 8 | 4 | 6 | 31 | 27 | 4 | 28 |
| 4 | 5 | alianza f.c | 18 | 8 | 4 | 6 | 26 | 24 | 2 | 28 |
| 5 | 6 | a.d. isidro metapan | 18 | 4 | 9 | 5 | 20 | 23 | -3 | 21 |
| 6 | 7 | municipal limeno | 18 | 5 | 5 | 8 | 27 | 29 | -2 | 20 |
| 7 | 8 | c.d. arcense | 18 | 2 | 11 | 5 | 23 | 32 | -11 | 17 |
| 8 | 9 | chalatenango | 18 | 4 | 5 | 9 | 13 | 22 | -9 | 17 |
| 9 | 10 | c.d. atletico balboa | 18 | 4 | 3 | 11 | 15 | 31 | -24 | 15 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select nation where total > 41 order by gold desc limit 1 col : rank | nation | gold | silver | bronze | total row 1 : 1 | india | 102 | 58 | 37 | 197 row 2 : 2 | nepal | 32 | 10 | 24 | 65 row 3 : 3 | sri lanka | 16 | 42 | 62 | 120 row 4 : 4 | pakistan | 10 | 36 | 30 | 76 row 5 : 5 | bangladesh | 2 | 10 | 35 | 47 row 6 : 6 | bhutan | 1 | 6 | 7 | 14 row 7 : 7 | maldives | 0 | 0 | 4 | 4 | col : nation row 1 : nepal row 2 : pakistan row 3 : bangladesh | select nation where total > 41 order by gold desc limit 1 <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & india & 102 & 58 & 37 & 197 \\
1 & 2 & nepal & 32 & 10 & 24 & 65 \\
2 & 3 & sri lanka & 16 & 42 & 62 & 120 \\
3 & 4 & pakistan & 10 & 36 & 30 & 76 \\
4 & 5 & bangladesh & 2 & 10 & 35 & 47 \\
5 & 6 & bhutan & 1 & 6 & 7 & 14 \\
6 & 7 & maldives & 0 & 0 & 4 & 4 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& nation \\
\midrule
0 & nepal \\
1 & pakistan \\
2 & bangladesh \\
\bottomrule
\end{tabular}
| select nation where total > 41 order by gold desc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>nation</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>india</td>
<td>102</td>
<td>58</td>
<td>37</td>
<td>197</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>nepal</td>
<td>32</td>
<td>10</td>
<td>24</td>
<td>65</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>sri lanka</td>
<td>16</td>
<td>42</td>
<td>62</td>
<td>120</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>pakistan</td>
<td>10</td>
<td>36</td>
<td>30</td>
<td>76</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>bangladesh</td>
<td>2</td>
<td>10</td>
<td>35</td>
<td>47</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>bhutan</td>
<td>1</td>
<td>6</td>
<td>7</td>
<td>14</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>maldives</td>
<td>0</td>
<td>0</td>
<td>4</td>
<td>4</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>nation</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>nepal</td>
</tr>
<tr>
<th>1</th>
<td>pakistan</td>
</tr>
<tr>
<th>2</th>
<td>bangladesh</td>
</tr>
</tbody>
</table> | select nation where total > 41 order by gold desc limit 1 <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|-------:|:-----------|-------:|---------:|---------:|--------:|
| 0 | 1 | india | 102 | 58 | 37 | 197 |
| 1 | 2 | nepal | 32 | 10 | 24 | 65 |
| 2 | 3 | sri lanka | 16 | 42 | 62 | 120 |
| 3 | 4 | pakistan | 10 | 36 | 30 | 76 |
| 4 | 5 | bangladesh | 2 | 10 | 35 | 47 |
| 5 | 6 | bhutan | 1 | 6 | 7 | 14 |
| 6 | 7 | maldives | 0 | 0 | 4 | 4 | | | | nation |
|---:|:-----------|
| 0 | nepal |
| 1 | pakistan |
| 2 | bangladesh | | [
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select nation where bronze = 0 and nation = 'japan (jpn)' and nation != '0' col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union (urs) | 4 | 1 | 6 | 11 row 2 : 2 | yugoslavia (yug) | 2 | 0 | 1 | 3 row 3 : 3 | west germany (frg) | 1 | 1 | 1 | 3 row 4 : 4 | bulgaria (bul) | 1 | 1 | 0 | 2 row 5 : 4 | czechoslovakia (tch) | 1 | 1 | 0 | 2 row 6 : 4 | east germany (gdr) | 1 | 1 | 0 | 2 row 7 : 4 | great britain (gbr) | 1 | 1 | 0 | 2 row 8 : 8 | norway (nor) | 1 | 0 | 0 | 1 row 9 : 8 | romania (rou) | 1 | 0 | 0 | 1 row 10 : 10 | china (chn) | 0 | 1 | 1 | 2 row 11 : 11 | chile (chi) | 0 | 1 | 0 | 1 row 12 : 11 | france (fra) | 0 | 1 | 0 | 1 row 13 : 11 | japan (jpn) | 0 | 1 | 0 | 1 row 14 : 11 | south korea (kor) | 0 | 1 | 0 | 1 row 15 : 11 | sweden (swe) | 0 | 1 | 0 | 1 row 16 : 11 | united states (usa) | 0 | 1 | 0 | 1 row 17 : 17 | hungary (hun) | 0 | 0 | 2 | 2 row 18 : 18 | belgium (bel) | 0 | 0 | 1 | 1 row 19 : 18 | spain (esp) | 0 | 0 | 1 | 1 row 20 : total | total | 13 | 13 | 13 | 39 | col : nation row 1 : japan (jpn) | select nation where bronze = 0 and nation = 'japan (jpn)' and nation != '0' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & soviet union (urs) & 4 & 1 & 6 & 11 \\
1 & 2 & yugoslavia (yug) & 2 & 0 & 1 & 3 \\
2 & 3 & west germany (frg) & 1 & 1 & 1 & 3 \\
3 & 4 & bulgaria (bul) & 1 & 1 & 0 & 2 \\
4 & 4 & czechoslovakia (tch) & 1 & 1 & 0 & 2 \\
5 & 4 & east germany (gdr) & 1 & 1 & 0 & 2 \\
6 & 4 & great britain (gbr) & 1 & 1 & 0 & 2 \\
7 & 8 & norway (nor) & 1 & 0 & 0 & 1 \\
8 & 8 & romania (rou) & 1 & 0 & 0 & 1 \\
9 & 10 & china (chn) & 0 & 1 & 1 & 2 \\
10 & 11 & chile (chi) & 0 & 1 & 0 & 1 \\
11 & 11 & france (fra) & 0 & 1 & 0 & 1 \\
12 & 11 & japan (jpn) & 0 & 1 & 0 & 1 \\
13 & 11 & south korea (kor) & 0 & 1 & 0 & 1 \\
14 & 11 & sweden (swe) & 0 & 1 & 0 & 1 \\
15 & 11 & united states (usa) & 0 & 1 & 0 & 1 \\
16 & 17 & hungary (hun) & 0 & 0 & 2 & 2 \\
17 & 18 & belgium (bel) & 0 & 0 & 1 & 1 \\
18 & 18 & spain (esp) & 0 & 0 & 1 & 1 \\
19 & total & total & 13 & 13 & 13 & 39 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& nation \\
\midrule
0 & japan (jpn) \\
\bottomrule
\end{tabular}
| select nation where bronze = 0 and nation = 'japan (jpn)' and nation != '0' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>nation</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>soviet union (urs)</td>
<td>4</td>
<td>1</td>
<td>6</td>
<td>11</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>yugoslavia (yug)</td>
<td>2</td>
<td>0</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>west germany (frg)</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>bulgaria (bul)</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>4</th>
<td>4</td>
<td>czechoslovakia (tch)</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>5</th>
<td>4</td>
<td>east germany (gdr)</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>6</th>
<td>4</td>
<td>great britain (gbr)</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>norway (nor)</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>8</th>
<td>8</td>
<td>romania (rou)</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>china (chn)</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>chile (chi)</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>11</th>
<td>11</td>
<td>france (fra)</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>11</td>
<td>japan (jpn)</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>13</th>
<td>11</td>
<td>south korea (kor)</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>14</th>
<td>11</td>
<td>sweden (swe)</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>15</th>
<td>11</td>
<td>united states (usa)</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>hungary (hun)</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>2</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>belgium (bel)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>18</th>
<td>18</td>
<td>spain (esp)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>19</th>
<td>total</td>
<td>total</td>
<td>13</td>
<td>13</td>
<td>13</td>
<td>39</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>nation</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>japan (jpn)</td>
</tr>
</tbody>
</table> | select nation where bronze = 0 and nation = 'japan (jpn)' and nation != '0' <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|:-------|:---------------------|-------:|---------:|---------:|--------:|
| 0 | 1 | soviet union (urs) | 4 | 1 | 6 | 11 |
| 1 | 2 | yugoslavia (yug) | 2 | 0 | 1 | 3 |
| 2 | 3 | west germany (frg) | 1 | 1 | 1 | 3 |
| 3 | 4 | bulgaria (bul) | 1 | 1 | 0 | 2 |
| 4 | 4 | czechoslovakia (tch) | 1 | 1 | 0 | 2 |
| 5 | 4 | east germany (gdr) | 1 | 1 | 0 | 2 |
| 6 | 4 | great britain (gbr) | 1 | 1 | 0 | 2 |
| 7 | 8 | norway (nor) | 1 | 0 | 0 | 1 |
| 8 | 8 | romania (rou) | 1 | 0 | 0 | 1 |
| 9 | 10 | china (chn) | 0 | 1 | 1 | 2 |
| 10 | 11 | chile (chi) | 0 | 1 | 0 | 1 |
| 11 | 11 | france (fra) | 0 | 1 | 0 | 1 |
| 12 | 11 | japan (jpn) | 0 | 1 | 0 | 1 |
| 13 | 11 | south korea (kor) | 0 | 1 | 0 | 1 |
| 14 | 11 | sweden (swe) | 0 | 1 | 0 | 1 |
| 15 | 11 | united states (usa) | 0 | 1 | 0 | 1 |
| 16 | 17 | hungary (hun) | 0 | 0 | 2 | 2 |
| 17 | 18 | belgium (bel) | 0 | 0 | 1 | 1 |
| 18 | 18 | spain (esp) | 0 | 0 | 1 | 1 |
| 19 | total | total | 13 | 13 | 13 | 39 | | | | nation |
|---:|:------------|
| 0 | japan (jpn) | | [
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select home team where tie no = 14 col : tie no | home team | score | away team | attendance row 1 : 1 | blackpool | 2-0 | rochdale | none row 2 : 2 | chesterfield | 1-1 | southend united | none row 3 : replay | southend united | 2 - 0 | chesterfield | none row 4 : 3 | canvey island | 1-0 | northampton town | none row 5 : 4 | macclesfield town | 4-1 | swansea city | none row 6 : 5 | swindon town | 3-2 | hereford united | none row 7 : 6 | tranmere rovers | 6-1 | carlisle united | none row 8 : 7 | wycombe wanderers | 3-0 | notts county | none row 9 : 8 | brighton & hove albion | 2-1 | rushden & diamonds | 5647 row 10 : 9 | plymouth argyle | 1-1 | bristol rovers | none row 11 : replay | bristol rovers | 3 - 2 | plymouth argyle | none row 12 : 10 | hull city | 2-3 | oldham athletic | 9422 row 13 : 11 | altrincham | 1-2 | darlington | none row 14 : 12 | exeter city | 0-0 | dagenham & redbridge | none row 15 : replay | dagenham & redbridge | 3 - 0 | exeter city | none row 16 : 13 | scunthorpe united | 3-2 | brentford | none row 17 : 14 | mansfield town | 4-0 | huddersfield town | 6836 row 18 : 15 | cardiff city | 3-0 | port vale | none row 19 : 16 | halifax town | 1-1 | stoke city | 3335 row 20 : replay | stoke city | 3 - 0 | halifax town | 4356 row 21 : 17 | york city | 2-0 | reading | none row 22 : 18 | peterborough united | 1-0 | bournemouth | none row 23 : 19 | leyton orient | 2-1 | lincoln city | none row 24 : 20 | hinckley united | 0-2 | cheltenham town | none | col : home team row 1 : mansfield town | select home team where tie no = 14 <table_name> : table \begin{tabular}{llllll}
\toprule
& tie no & home team & score & away team & attendance \\
\midrule
0 & 1 & blackpool & 2-0 & rochdale & none \\
1 & 2 & chesterfield & 1-1 & southend united & none \\
2 & replay & southend united & 2 - 0 & chesterfield & none \\
3 & 3 & canvey island & 1-0 & northampton town & none \\
4 & 4 & macclesfield town & 4-1 & swansea city & none \\
5 & 5 & swindon town & 3-2 & hereford united & none \\
6 & 6 & tranmere rovers & 6-1 & carlisle united & none \\
7 & 7 & wycombe wanderers & 3-0 & notts county & none \\
8 & 8 & brighton & hove albion & 2-1 & rushden & diamonds & 5647 \\
9 & 9 & plymouth argyle & 1-1 & bristol rovers & none \\
10 & replay & bristol rovers & 3 - 2 & plymouth argyle & none \\
11 & 10 & hull city & 2-3 & oldham athletic & 9422 \\
12 & 11 & altrincham & 1-2 & darlington & none \\
13 & 12 & exeter city & 0-0 & dagenham & redbridge & none \\
14 & replay & dagenham & redbridge & 3 - 0 & exeter city & none \\
15 & 13 & scunthorpe united & 3-2 & brentford & none \\
16 & 14 & mansfield town & 4-0 & huddersfield town & 6836 \\
17 & 15 & cardiff city & 3-0 & port vale & none \\
18 & 16 & halifax town & 1-1 & stoke city & 3335 \\
19 & replay & stoke city & 3 - 0 & halifax town & 4356 \\
20 & 17 & york city & 2-0 & reading & none \\
21 & 18 & peterborough united & 1-0 & bournemouth & none \\
22 & 19 & leyton orient & 2-1 & lincoln city & none \\
23 & 20 & hinckley united & 0-2 & cheltenham town & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& home team \\
\midrule
0 & mansfield town \\
\bottomrule
\end{tabular}
| select home team where tie no = 14 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>tie no</th>
<th>home team</th>
<th>score</th>
<th>away team</th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>blackpool</td>
<td>2-0</td>
<td>rochdale</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>chesterfield</td>
<td>1-1</td>
<td>southend united</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>replay</td>
<td>southend united</td>
<td>2 - 0</td>
<td>chesterfield</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>3</td>
<td>canvey island</td>
<td>1-0</td>
<td>northampton town</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>4</td>
<td>macclesfield town</td>
<td>4-1</td>
<td>swansea city</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>5</td>
<td>swindon town</td>
<td>3-2</td>
<td>hereford united</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>6</td>
<td>tranmere rovers</td>
<td>6-1</td>
<td>carlisle united</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>7</td>
<td>wycombe wanderers</td>
<td>3-0</td>
<td>notts county</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>8</td>
<td>brighton & hove albion</td>
<td>2-1</td>
<td>rushden & diamonds</td>
<td>5647</td>
</tr>
<tr>
<th>9</th>
<td>9</td>
<td>plymouth argyle</td>
<td>1-1</td>
<td>bristol rovers</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>replay</td>
<td>bristol rovers</td>
<td>3 - 2</td>
<td>plymouth argyle</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>10</td>
<td>hull city</td>
<td>2-3</td>
<td>oldham athletic</td>
<td>9422</td>
</tr>
<tr>
<th>12</th>
<td>11</td>
<td>altrincham</td>
<td>1-2</td>
<td>darlington</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>12</td>
<td>exeter city</td>
<td>0-0</td>
<td>dagenham & redbridge</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>replay</td>
<td>dagenham & redbridge</td>
<td>3 - 0</td>
<td>exeter city</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>13</td>
<td>scunthorpe united</td>
<td>3-2</td>
<td>brentford</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>14</td>
<td>mansfield town</td>
<td>4-0</td>
<td>huddersfield town</td>
<td>6836</td>
</tr>
<tr>
<th>17</th>
<td>15</td>
<td>cardiff city</td>
<td>3-0</td>
<td>port vale</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>16</td>
<td>halifax town</td>
<td>1-1</td>
<td>stoke city</td>
<td>3335</td>
</tr>
<tr>
<th>19</th>
<td>replay</td>
<td>stoke city</td>
<td>3 - 0</td>
<td>halifax town</td>
<td>4356</td>
</tr>
<tr>
<th>20</th>
<td>17</td>
<td>york city</td>
<td>2-0</td>
<td>reading</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>18</td>
<td>peterborough united</td>
<td>1-0</td>
<td>bournemouth</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>19</td>
<td>leyton orient</td>
<td>2-1</td>
<td>lincoln city</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>20</td>
<td>hinckley united</td>
<td>0-2</td>
<td>cheltenham town</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>home team</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>mansfield town</td>
</tr>
</tbody>
</table> | select home team where tie no = 14 <table_name> : table | | tie no | home team | score | away team | attendance |
|---:|:---------|:-----------------------|:--------|:---------------------|:-------------|
| 0 | 1 | blackpool | 2-0 | rochdale | none |
| 1 | 2 | chesterfield | 1-1 | southend united | none |
| 2 | replay | southend united | 2 - 0 | chesterfield | none |
| 3 | 3 | canvey island | 1-0 | northampton town | none |
| 4 | 4 | macclesfield town | 4-1 | swansea city | none |
| 5 | 5 | swindon town | 3-2 | hereford united | none |
| 6 | 6 | tranmere rovers | 6-1 | carlisle united | none |
| 7 | 7 | wycombe wanderers | 3-0 | notts county | none |
| 8 | 8 | brighton & hove albion | 2-1 | rushden & diamonds | 5647 |
| 9 | 9 | plymouth argyle | 1-1 | bristol rovers | none |
| 10 | replay | bristol rovers | 3 - 2 | plymouth argyle | none |
| 11 | 10 | hull city | 2-3 | oldham athletic | 9422 |
| 12 | 11 | altrincham | 1-2 | darlington | none |
| 13 | 12 | exeter city | 0-0 | dagenham & redbridge | none |
| 14 | replay | dagenham & redbridge | 3 - 0 | exeter city | none |
| 15 | 13 | scunthorpe united | 3-2 | brentford | none |
| 16 | 14 | mansfield town | 4-0 | huddersfield town | 6836 |
| 17 | 15 | cardiff city | 3-0 | port vale | none |
| 18 | 16 | halifax town | 1-1 | stoke city | 3335 |
| 19 | replay | stoke city | 3 - 0 | halifax town | 4356 |
| 20 | 17 | york city | 2-0 | reading | none |
| 21 | 18 | peterborough united | 1-0 | bournemouth | none |
| 22 | 19 | leyton orient | 2-1 | lincoln city | none |
| 23 | 20 | hinckley united | 0-2 | cheltenham town | none | | | | home team |
|---:|:---------------|
| 0 | mansfield town | | [
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select nation where gold = 1 col : rank | nation | gold | silver | bronze | total row 1 : 1 | soviet union (urs) | 4 | 1 | 6 | 11 row 2 : 2 | yugoslavia (yug) | 2 | 0 | 1 | 3 row 3 : 3 | west germany (frg) | 1 | 1 | 1 | 3 row 4 : 4 | bulgaria (bul) | 1 | 1 | 0 | 2 row 5 : 4 | czechoslovakia (tch) | 1 | 1 | 0 | 2 row 6 : 4 | east germany (gdr) | 1 | 1 | 0 | 2 row 7 : 4 | great britain (gbr) | 1 | 1 | 0 | 2 row 8 : 8 | norway (nor) | 1 | 0 | 0 | 1 row 9 : 8 | romania (rou) | 1 | 0 | 0 | 1 row 10 : 10 | china (chn) | 0 | 1 | 1 | 2 row 11 : 11 | chile (chi) | 0 | 1 | 0 | 1 row 12 : 11 | france (fra) | 0 | 1 | 0 | 1 row 13 : 11 | japan (jpn) | 0 | 1 | 0 | 1 row 14 : 11 | south korea (kor) | 0 | 1 | 0 | 1 row 15 : 11 | sweden (swe) | 0 | 1 | 0 | 1 row 16 : 11 | united states (usa) | 0 | 1 | 0 | 1 row 17 : 17 | hungary (hun) | 0 | 0 | 2 | 2 row 18 : 18 | belgium (bel) | 0 | 0 | 1 | 1 row 19 : 18 | spain (esp) | 0 | 0 | 1 | 1 row 20 : total | total | 13 | 13 | 13 | 39 | col : nation row 1 : west germany (frg) row 2 : bulgaria (bul) row 3 : czechoslovakia (tch) row 4 : east germany (gdr) row 5 : great britain (gbr) row 6 : norway (nor) row 7 : romania (rou) | select nation where gold = 1 <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & soviet union (urs) & 4 & 1 & 6 & 11 \\
1 & 2 & yugoslavia (yug) & 2 & 0 & 1 & 3 \\
2 & 3 & west germany (frg) & 1 & 1 & 1 & 3 \\
3 & 4 & bulgaria (bul) & 1 & 1 & 0 & 2 \\
4 & 4 & czechoslovakia (tch) & 1 & 1 & 0 & 2 \\
5 & 4 & east germany (gdr) & 1 & 1 & 0 & 2 \\
6 & 4 & great britain (gbr) & 1 & 1 & 0 & 2 \\
7 & 8 & norway (nor) & 1 & 0 & 0 & 1 \\
8 & 8 & romania (rou) & 1 & 0 & 0 & 1 \\
9 & 10 & china (chn) & 0 & 1 & 1 & 2 \\
10 & 11 & chile (chi) & 0 & 1 & 0 & 1 \\
11 & 11 & france (fra) & 0 & 1 & 0 & 1 \\
12 & 11 & japan (jpn) & 0 & 1 & 0 & 1 \\
13 & 11 & south korea (kor) & 0 & 1 & 0 & 1 \\
14 & 11 & sweden (swe) & 0 & 1 & 0 & 1 \\
15 & 11 & united states (usa) & 0 & 1 & 0 & 1 \\
16 & 17 & hungary (hun) & 0 & 0 & 2 & 2 \\
17 & 18 & belgium (bel) & 0 & 0 & 1 & 1 \\
18 & 18 & spain (esp) & 0 & 0 & 1 & 1 \\
19 & total & total & 13 & 13 & 13 & 39 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& nation \\
\midrule
0 & west germany (frg) \\
1 & bulgaria (bul) \\
2 & czechoslovakia (tch) \\
3 & east germany (gdr) \\
4 & great britain (gbr) \\
5 & norway (nor) \\
6 & romania (rou) \\
\bottomrule
\end{tabular}
| select nation where gold = 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>nation</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>soviet union (urs)</td>
<td>4</td>
<td>1</td>
<td>6</td>
<td>11</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>yugoslavia (yug)</td>
<td>2</td>
<td>0</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>west germany (frg)</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>bulgaria (bul)</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>4</th>
<td>4</td>
<td>czechoslovakia (tch)</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>5</th>
<td>4</td>
<td>east germany (gdr)</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>6</th>
<td>4</td>
<td>great britain (gbr)</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>norway (nor)</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>8</th>
<td>8</td>
<td>romania (rou)</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>china (chn)</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>chile (chi)</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>11</th>
<td>11</td>
<td>france (fra)</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>11</td>
<td>japan (jpn)</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>13</th>
<td>11</td>
<td>south korea (kor)</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>14</th>
<td>11</td>
<td>sweden (swe)</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>15</th>
<td>11</td>
<td>united states (usa)</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>hungary (hun)</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>2</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>belgium (bel)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>18</th>
<td>18</td>
<td>spain (esp)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>19</th>
<td>total</td>
<td>total</td>
<td>13</td>
<td>13</td>
<td>13</td>
<td>39</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>nation</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>west germany (frg)</td>
</tr>
<tr>
<th>1</th>
<td>bulgaria (bul)</td>
</tr>
<tr>
<th>2</th>
<td>czechoslovakia (tch)</td>
</tr>
<tr>
<th>3</th>
<td>east germany (gdr)</td>
</tr>
<tr>
<th>4</th>
<td>great britain (gbr)</td>
</tr>
<tr>
<th>5</th>
<td>norway (nor)</td>
</tr>
<tr>
<th>6</th>
<td>romania (rou)</td>
</tr>
</tbody>
</table> | select nation where gold = 1 <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|:-------|:---------------------|-------:|---------:|---------:|--------:|
| 0 | 1 | soviet union (urs) | 4 | 1 | 6 | 11 |
| 1 | 2 | yugoslavia (yug) | 2 | 0 | 1 | 3 |
| 2 | 3 | west germany (frg) | 1 | 1 | 1 | 3 |
| 3 | 4 | bulgaria (bul) | 1 | 1 | 0 | 2 |
| 4 | 4 | czechoslovakia (tch) | 1 | 1 | 0 | 2 |
| 5 | 4 | east germany (gdr) | 1 | 1 | 0 | 2 |
| 6 | 4 | great britain (gbr) | 1 | 1 | 0 | 2 |
| 7 | 8 | norway (nor) | 1 | 0 | 0 | 1 |
| 8 | 8 | romania (rou) | 1 | 0 | 0 | 1 |
| 9 | 10 | china (chn) | 0 | 1 | 1 | 2 |
| 10 | 11 | chile (chi) | 0 | 1 | 0 | 1 |
| 11 | 11 | france (fra) | 0 | 1 | 0 | 1 |
| 12 | 11 | japan (jpn) | 0 | 1 | 0 | 1 |
| 13 | 11 | south korea (kor) | 0 | 1 | 0 | 1 |
| 14 | 11 | sweden (swe) | 0 | 1 | 0 | 1 |
| 15 | 11 | united states (usa) | 0 | 1 | 0 | 1 |
| 16 | 17 | hungary (hun) | 0 | 0 | 2 | 2 |
| 17 | 18 | belgium (bel) | 0 | 0 | 1 | 1 |
| 18 | 18 | spain (esp) | 0 | 0 | 1 | 1 |
| 19 | total | total | 13 | 13 | 13 | 39 | | | | nation |
|---:|:---------------------|
| 0 | west germany (frg) |
| 1 | bulgaria (bul) |
| 2 | czechoslovakia (tch) |
| 3 | east germany (gdr) |
| 4 | great britain (gbr) |
| 5 | norway (nor) |
| 6 | romania (rou) | | [
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select dvd title where dvd title = 'complete series 8' col : dvd title | discs | year | no. of ep. | dvd release region 2 | dvd release region 4 row 1 : complete series 1 | 2 | 1971 | 8 | 30 april 2007 | 4 july 2007 row 2 : complete series 2 | 2 | 1972 | 8 | 2 july 2007 | 8 may 2008 row 3 : complete series 3 | 2 | 1973-1974 | 8 | 17 march 2008 | 5 march 2009 row 4 : complete series 4 | 2 | 1975 | 8 | 19 may 2008 | 6 august 2009 row 5 : complete series 5 | 2 | 1976 | 8 | 15 june 2009 | 4 march 2010 row 6 : complete series 6 | 2 | 1977-1978 | 8 | 22 february 2010 | 5 august 2010 row 7 : complete series 7 | 2 | 1978-1979 | 8 | 17 may 2010 | 3 march 2011 row 8 : complete series 8 | 2 | 1980 | 8 | 6 september 2010 | 2 june 2011 row 9 : complete series 9 | 2 | 1981-1982 | 8 | 28 february 2011 | 1 march 2012 row 10 : complete series 10 | 2 | 1983-1984 | 6 | 9 may 2011 | 5 september 2012 row 11 : complete series 11 | 2 | 1985 | 5 | 25 july 2011 | 3 april 2013 row 12 : complete series 12 | 2 | 1985-1986 | 6 | 26 september 2011 | 7 august 2013 row 13 : the christmas specials | 2 | 1973-1982-1984-1987 | 4 | 29 october 2007 | 6 november 2008 row 14 : the complete collection | 27 | 1971-1987, 2010 | 96 | 24 september 2012 | 2013 row 15 : two ronnies in australia | 2 | 1986 | 6 | none | 28 june 2008 row 16 : the best of...volume 1 | 1 | 1971-1984 | 1 compilation | 1 october 2001 | 4 march 2002 row 17 : the best of...volume 2 | 1 | 1971-1985 | 1 compilation | 29 september 2003 | 17 march 2003 | col : dvd title row 1 : complete series 8 | select dvd title where dvd title = 'complete series 8' <table_name> : table \begin{tabular}{lllllll}
\toprule
& dvd title & discs & year & no. of ep. & dvd release region 2 & dvd release region 4 \\
\midrule
0 & complete series 1 & 2 & 1971 & 8 & 30 april 2007 & 4 july 2007 \\
1 & complete series 2 & 2 & 1972 & 8 & 2 july 2007 & 8 may 2008 \\
2 & complete series 3 & 2 & 1973-1974 & 8 & 17 march 2008 & 5 march 2009 \\
3 & complete series 4 & 2 & 1975 & 8 & 19 may 2008 & 6 august 2009 \\
4 & complete series 5 & 2 & 1976 & 8 & 15 june 2009 & 4 march 2010 \\
5 & complete series 6 & 2 & 1977-1978 & 8 & 22 february 2010 & 5 august 2010 \\
6 & complete series 7 & 2 & 1978-1979 & 8 & 17 may 2010 & 3 march 2011 \\
7 & complete series 8 & 2 & 1980 & 8 & 6 september 2010 & 2 june 2011 \\
8 & complete series 9 & 2 & 1981-1982 & 8 & 28 february 2011 & 1 march 2012 \\
9 & complete series 10 & 2 & 1983-1984 & 6 & 9 may 2011 & 5 september 2012 \\
10 & complete series 11 & 2 & 1985 & 5 & 25 july 2011 & 3 april 2013 \\
11 & complete series 12 & 2 & 1985-1986 & 6 & 26 september 2011 & 7 august 2013 \\
12 & the christmas specials & 2 & 1973-1982-1984-1987 & 4 & 29 october 2007 & 6 november 2008 \\
13 & the complete collection & 27 & 1971-1987, 2010 & 96 & 24 september 2012 & 2013 \\
14 & two ronnies in australia & 2 & 1986 & 6 & none & 28 june 2008 \\
15 & the best of...volume 1 & 1 & 1971-1984 & 1 compilation & 1 october 2001 & 4 march 2002 \\
16 & the best of...volume 2 & 1 & 1971-1985 & 1 compilation & 29 september 2003 & 17 march 2003 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& dvd title \\
\midrule
0 & complete series 8 \\
\bottomrule
\end{tabular}
| select dvd title where dvd title = 'complete series 8' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>dvd title</th>
<th>discs</th>
<th>year</th>
<th>no. of ep.</th>
<th>dvd release region 2</th>
<th>dvd release region 4</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>complete series 1</td>
<td>2</td>
<td>1971</td>
<td>8</td>
<td>30 april 2007</td>
<td>4 july 2007</td>
</tr>
<tr>
<th>1</th>
<td>complete series 2</td>
<td>2</td>
<td>1972</td>
<td>8</td>
<td>2 july 2007</td>
<td>8 may 2008</td>
</tr>
<tr>
<th>2</th>
<td>complete series 3</td>
<td>2</td>
<td>1973-1974</td>
<td>8</td>
<td>17 march 2008</td>
<td>5 march 2009</td>
</tr>
<tr>
<th>3</th>
<td>complete series 4</td>
<td>2</td>
<td>1975</td>
<td>8</td>
<td>19 may 2008</td>
<td>6 august 2009</td>
</tr>
<tr>
<th>4</th>
<td>complete series 5</td>
<td>2</td>
<td>1976</td>
<td>8</td>
<td>15 june 2009</td>
<td>4 march 2010</td>
</tr>
<tr>
<th>5</th>
<td>complete series 6</td>
<td>2</td>
<td>1977-1978</td>
<td>8</td>
<td>22 february 2010</td>
<td>5 august 2010</td>
</tr>
<tr>
<th>6</th>
<td>complete series 7</td>
<td>2</td>
<td>1978-1979</td>
<td>8</td>
<td>17 may 2010</td>
<td>3 march 2011</td>
</tr>
<tr>
<th>7</th>
<td>complete series 8</td>
<td>2</td>
<td>1980</td>
<td>8</td>
<td>6 september 2010</td>
<td>2 june 2011</td>
</tr>
<tr>
<th>8</th>
<td>complete series 9</td>
<td>2</td>
<td>1981-1982</td>
<td>8</td>
<td>28 february 2011</td>
<td>1 march 2012</td>
</tr>
<tr>
<th>9</th>
<td>complete series 10</td>
<td>2</td>
<td>1983-1984</td>
<td>6</td>
<td>9 may 2011</td>
<td>5 september 2012</td>
</tr>
<tr>
<th>10</th>
<td>complete series 11</td>
<td>2</td>
<td>1985</td>
<td>5</td>
<td>25 july 2011</td>
<td>3 april 2013</td>
</tr>
<tr>
<th>11</th>
<td>complete series 12</td>
<td>2</td>
<td>1985-1986</td>
<td>6</td>
<td>26 september 2011</td>
<td>7 august 2013</td>
</tr>
<tr>
<th>12</th>
<td>the christmas specials</td>
<td>2</td>
<td>1973-1982-1984-1987</td>
<td>4</td>
<td>29 october 2007</td>
<td>6 november 2008</td>
</tr>
<tr>
<th>13</th>
<td>the complete collection</td>
<td>27</td>
<td>1971-1987, 2010</td>
<td>96</td>
<td>24 september 2012</td>
<td>2013</td>
</tr>
<tr>
<th>14</th>
<td>two ronnies in australia</td>
<td>2</td>
<td>1986</td>
<td>6</td>
<td>none</td>
<td>28 june 2008</td>
</tr>
<tr>
<th>15</th>
<td>the best of...volume 1</td>
<td>1</td>
<td>1971-1984</td>
<td>1 compilation</td>
<td>1 october 2001</td>
<td>4 march 2002</td>
</tr>
<tr>
<th>16</th>
<td>the best of...volume 2</td>
<td>1</td>
<td>1971-1985</td>
<td>1 compilation</td>
<td>29 september 2003</td>
<td>17 march 2003</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>dvd title</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>complete series 8</td>
</tr>
</tbody>
</table> | select dvd title where dvd title = 'complete series 8' <table_name> : table | | dvd title | discs | year | no. of ep. | dvd release region 2 | dvd release region 4 |
|---:|:-------------------------|--------:|:--------------------|:--------------|:-----------------------|:-----------------------|
| 0 | complete series 1 | 2 | 1971 | 8 | 30 april 2007 | 4 july 2007 |
| 1 | complete series 2 | 2 | 1972 | 8 | 2 july 2007 | 8 may 2008 |
| 2 | complete series 3 | 2 | 1973-1974 | 8 | 17 march 2008 | 5 march 2009 |
| 3 | complete series 4 | 2 | 1975 | 8 | 19 may 2008 | 6 august 2009 |
| 4 | complete series 5 | 2 | 1976 | 8 | 15 june 2009 | 4 march 2010 |
| 5 | complete series 6 | 2 | 1977-1978 | 8 | 22 february 2010 | 5 august 2010 |
| 6 | complete series 7 | 2 | 1978-1979 | 8 | 17 may 2010 | 3 march 2011 |
| 7 | complete series 8 | 2 | 1980 | 8 | 6 september 2010 | 2 june 2011 |
| 8 | complete series 9 | 2 | 1981-1982 | 8 | 28 february 2011 | 1 march 2012 |
| 9 | complete series 10 | 2 | 1983-1984 | 6 | 9 may 2011 | 5 september 2012 |
| 10 | complete series 11 | 2 | 1985 | 5 | 25 july 2011 | 3 april 2013 |
| 11 | complete series 12 | 2 | 1985-1986 | 6 | 26 september 2011 | 7 august 2013 |
| 12 | the christmas specials | 2 | 1973-1982-1984-1987 | 4 | 29 october 2007 | 6 november 2008 |
| 13 | the complete collection | 27 | 1971-1987, 2010 | 96 | 24 september 2012 | 2013 |
| 14 | two ronnies in australia | 2 | 1986 | 6 | none | 28 june 2008 |
| 15 | the best of...volume 1 | 1 | 1971-1984 | 1 compilation | 1 october 2001 | 4 march 2002 |
| 16 | the best of...volume 2 | 1 | 1971-1985 | 1 compilation | 29 september 2003 | 17 march 2003 | | | | dvd title |
|---:|:------------------|
| 0 | complete series 8 | | [
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select count ( ifpi israel certification ) where title = 'kmo haruach' col : year | title | (english) | ifpi israel certification | label row 1 : 1992 | david d'or | "david d'or" | platinum | hed arzi row 2 : 1993 | begovah mishtaneh | "changing altitudes", or "changing heights" | double platinum | hed arzi row 3 : 1995 | david & shlomo | "david and salomon" | platinum | hed arzi row 4 : 1997 | david d'or & etti ankri | "david d'or & etti ankri" | double platinum | hed arzi row 5 : 2001 | baneshama | "in the soul" | platinum | sisu row 6 : 2003 | david d'or vehaphilharmonic | "david d'eor & the philharmonic; live concert" | platinum | aviv row 7 : 2004 | le haamin | "to believe" | platinum | sisu row 8 : 2006 | kmo haruach | "like the wind" | gold | sisu row 9 : 2007 | ofa'a haia | "live concert" | platinum | hed arzi row 10 : 2007 | halelu-shirim shel david; cantata leshalom | "halelu-songs of david; cantata for peace" | none | hed arzi row 11 : 2008 | shirat rabim | "prayers", or "songs of the many-a world prayer" | gold | hed arzi row 12 : 2008 | 聽見愛的聲音 | "voice of love" | platinum | da jung jang | col : count ( "ifpi israel certification" ) row 1 : 1 | select count ( ifpi israel certification ) where title = 'kmo haruach' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & title & (english) & ifpi israel certification & label \\
\midrule
0 & 1992 & david d'or & "david d'or" & platinum & hed arzi \\
1 & 1993 & begovah mishtaneh & "changing altitudes", or "changing heights" & double platinum & hed arzi \\
2 & 1995 & david & shlomo & "david and salomon" & platinum & hed arzi \\
3 & 1997 & david d'or & etti ankri & "david d'or & etti ankri" & double platinum & hed arzi \\
4 & 2001 & baneshama & "in the soul" & platinum & sisu \\
5 & 2003 & david d'or vehaphilharmonic & "david d'eor & the philharmonic; live concert" & platinum & aviv \\
6 & 2004 & le haamin & "to believe" & platinum & sisu \\
7 & 2006 & kmo haruach & "like the wind" & gold & sisu \\
8 & 2007 & ofa'a haia & "live concert" & platinum & hed arzi \\
9 & 2007 & halelu-shirim shel david; cantata leshalom & "halelu-songs of david; cantata for peace" & none & hed arzi \\
10 & 2008 & shirat rabim & "prayers", or "songs of the many-a world prayer" & gold & hed arzi \\
11 & 2008 & 聽見愛的聲音 & "voice of love" & platinum & da jung jang \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "ifpi israel certification" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( ifpi israel certification ) where title = 'kmo haruach' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>title</th>
<th>(english)</th>
<th>ifpi israel certification</th>
<th>label</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1992</td>
<td>david d'or</td>
<td>"david d'or"</td>
<td>platinum</td>
<td>hed arzi</td>
</tr>
<tr>
<th>1</th>
<td>1993</td>
<td>begovah mishtaneh</td>
<td>"changing altitudes", or "changing heights"</td>
<td>double platinum</td>
<td>hed arzi</td>
</tr>
<tr>
<th>2</th>
<td>1995</td>
<td>david & shlomo</td>
<td>"david and salomon"</td>
<td>platinum</td>
<td>hed arzi</td>
</tr>
<tr>
<th>3</th>
<td>1997</td>
<td>david d'or & etti ankri</td>
<td>"david d'or & etti ankri"</td>
<td>double platinum</td>
<td>hed arzi</td>
</tr>
<tr>
<th>4</th>
<td>2001</td>
<td>baneshama</td>
<td>"in the soul"</td>
<td>platinum</td>
<td>sisu</td>
</tr>
<tr>
<th>5</th>
<td>2003</td>
<td>david d'or vehaphilharmonic</td>
<td>"david d'eor & the philharmonic; live concert"</td>
<td>platinum</td>
<td>aviv</td>
</tr>
<tr>
<th>6</th>
<td>2004</td>
<td>le haamin</td>
<td>"to believe"</td>
<td>platinum</td>
<td>sisu</td>
</tr>
<tr>
<th>7</th>
<td>2006</td>
<td>kmo haruach</td>
<td>"like the wind"</td>
<td>gold</td>
<td>sisu</td>
</tr>
<tr>
<th>8</th>
<td>2007</td>
<td>ofa'a haia</td>
<td>"live concert"</td>
<td>platinum</td>
<td>hed arzi</td>
</tr>
<tr>
<th>9</th>
<td>2007</td>
<td>halelu-shirim shel david; cantata leshalom</td>
<td>"halelu-songs of david; cantata for peace"</td>
<td>none</td>
<td>hed arzi</td>
</tr>
<tr>
<th>10</th>
<td>2008</td>
<td>shirat rabim</td>
<td>"prayers", or "songs of the many-a world prayer"</td>
<td>gold</td>
<td>hed arzi</td>
</tr>
<tr>
<th>11</th>
<td>2008</td>
<td>聽見愛的聲音</td>
<td>"voice of love"</td>
<td>platinum</td>
<td>da jung jang</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "ifpi israel certification" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( ifpi israel certification ) where title = 'kmo haruach' <table_name> : table | | year | title | (english) | ifpi israel certification | label |
|---:|-------:|:-------------------------------------------|:-------------------------------------------------|:----------------------------|:-------------|
| 0 | 1992 | david d'or | "david d'or" | platinum | hed arzi |
| 1 | 1993 | begovah mishtaneh | "changing altitudes", or "changing heights" | double platinum | hed arzi |
| 2 | 1995 | david & shlomo | "david and salomon" | platinum | hed arzi |
| 3 | 1997 | david d'or & etti ankri | "david d'or & etti ankri" | double platinum | hed arzi |
| 4 | 2001 | baneshama | "in the soul" | platinum | sisu |
| 5 | 2003 | david d'or vehaphilharmonic | "david d'eor & the philharmonic; live concert" | platinum | aviv |
| 6 | 2004 | le haamin | "to believe" | platinum | sisu |
| 7 | 2006 | kmo haruach | "like the wind" | gold | sisu |
| 8 | 2007 | ofa'a haia | "live concert" | platinum | hed arzi |
| 9 | 2007 | halelu-shirim shel david; cantata leshalom | "halelu-songs of david; cantata for peace" | none | hed arzi |
| 10 | 2008 | shirat rabim | "prayers", or "songs of the many-a world prayer" | gold | hed arzi |
| 11 | 2008 | 聽見愛的聲音 | "voice of love" | platinum | da jung jang | | | | count ( "ifpi israel certification" ) |
|---:|----------------------------------------:|
| 0 | 1 | | [
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] |
select party where first elected = 2009 col : district | name | party | district office | first elected row 1 : 1 | a.g. crowe | rep | slidell | 2007.0 row 2 : 2 | troy brown | dem | napoleonville | 2011.0 row 3 : 3 | j.p. morrell | dem | new orleans | 2008.0 row 4 : 4 | ed murray | dem | new orleans | 2005.0 row 5 : 5 | karen carter peterson | dem | new orleans | 2010.0 row 6 : 6 | bodi white | rep | baton rouge | 2011.0 row 7 : 7 | david heitmeier | dem | new orleans | 2007.0 row 8 : 8 | john alario | rep | westwego | 2007.0 row 9 : 9 | conrad appel | rep | metairie | 2008.0 row 10 : 10 | daniel martiny | rep | metairie | 2007.0 row 11 : 11 | jack donahue | rep | mandeville | 2007.0 row 12 : 12 | ben nevers | dem | bogalusa | 2003.0 row 13 : 13 | dale m. erdey | rep | livingston | 2007.0 row 14 : 14 | yvonne dorsey-colomb | dem | baton rouge | 2007.0 row 15 : 15 | sharon weston broome | dem | baton rouge | 2004.0 row 16 : 16 | dan claitor | rep | baton rouge | 2009.0 row 17 : 17 | rick ward, iii | rep | port allen | 2011.0 row 18 : 18 | jody amedee | rep | gonzales | 2003.0 row 19 : 19 | gary smith, jr | dem | norco | 2011.0 row 20 : 20 | norby chabert | rep | houma | 2009.0 row 21 : 21 | bret allain | rep | franklin | 2011.0 row 22 : 22 | fred h. mills, jr | rep | new iberia | 2011.0 row 23 : 23 | page cortez | rep | lafayette | 2011.0 row 24 : 24 | elbert guillory | rep | opelousas | 2009.0 row 25 : 25 | dan "blade" morrish | rep | jennings | 2007.0 row 26 : 26 | jonathan perry | rep | kaplan | 2011.0 row 27 : 27 | ronnie johns | rep | lake charles | 2011.0 row 28 : 28 | eric lafleur | dem | ville platte | 2007.0 row 29 : 29 | rick gallot | dem | ruston | 2011.0 row 30 : 30 | john r. smith | rep | leesville | 2007.0 row 31 : 31 | gerald long | rep | winnfield | 2007.0 row 32 : 32 | neil riser | rep | columbia | 2007.0 row 33 : 33 | mike walsworth | rep | west monroe | 2007.0 row 34 : 34 | francis c. thompson | dem | delhi | 2007.0 row 35 : 35 | robert kostelka | rep | monroe | 2003.0 row 36 : 36 | robert adley | rep | benton | 2003.0 row 37 : 37 | bar | | | row 38 : peacock | rep | bossier | 2011 | row 39 : 38 | sherri smith buffington | rep | keithville | 2003.0 row 40 : 39 | gregory tarver | dem | shreveport | 2011.0 | col : party row 1 : rep row 2 : rep row 3 : rep | select party where first elected = 2009 <table_name> : table \begin{tabular}{llllll}
\toprule
& district & name & party & district office & first elected \\
\midrule
0 & 1 & a.g. crowe & rep & slidell & 2007.0 \\
1 & 2 & troy brown & dem & napoleonville & 2011.0 \\
2 & 3 & j.p. morrell & dem & new orleans & 2008.0 \\
3 & 4 & ed murray & dem & new orleans & 2005.0 \\
4 & 5 & karen carter peterson & dem & new orleans & 2010.0 \\
5 & 6 & bodi white & rep & baton rouge & 2011.0 \\
6 & 7 & david heitmeier & dem & new orleans & 2007.0 \\
7 & 8 & john alario & rep & westwego & 2007.0 \\
8 & 9 & conrad appel & rep & metairie & 2008.0 \\
9 & 10 & daniel martiny & rep & metairie & 2007.0 \\
10 & 11 & jack donahue & rep & mandeville & 2007.0 \\
11 & 12 & ben nevers & dem & bogalusa & 2003.0 \\
12 & 13 & dale m. erdey & rep & livingston & 2007.0 \\
13 & 14 & yvonne dorsey-colomb & dem & baton rouge & 2007.0 \\
14 & 15 & sharon weston broome & dem & baton rouge & 2004.0 \\
15 & 16 & dan claitor & rep & baton rouge & 2009.0 \\
16 & 17 & rick ward, iii & rep & port allen & 2011.0 \\
17 & 18 & jody amedee & rep & gonzales & 2003.0 \\
18 & 19 & gary smith, jr & dem & norco & 2011.0 \\
19 & 20 & norby chabert & rep & houma & 2009.0 \\
20 & 21 & bret allain & rep & franklin & 2011.0 \\
21 & 22 & fred h. mills, jr & rep & new iberia & 2011.0 \\
22 & 23 & page cortez & rep & lafayette & 2011.0 \\
23 & 24 & elbert guillory & rep & opelousas & 2009.0 \\
24 & 25 & dan "blade" morrish & rep & jennings & 2007.0 \\
25 & 26 & jonathan perry & rep & kaplan & 2011.0 \\
26 & 27 & ronnie johns & rep & lake charles & 2011.0 \\
27 & 28 & eric lafleur & dem & ville platte & 2007.0 \\
28 & 29 & rick gallot & dem & ruston & 2011.0 \\
29 & 30 & john r. smith & rep & leesville & 2007.0 \\
30 & 31 & gerald long & rep & winnfield & 2007.0 \\
31 & 32 & neil riser & rep & columbia & 2007.0 \\
32 & 33 & mike walsworth & rep & west monroe & 2007.0 \\
33 & 34 & francis c. thompson & dem & delhi & 2007.0 \\
34 & 35 & robert kostelka & rep & monroe & 2003.0 \\
35 & 36 & robert adley & rep & benton & 2003.0 \\
36 & 37 & bar & & & \\
37 & peacock & rep & bossier & 2011 & \\
38 & 38 & sherri smith buffington & rep & keithville & 2003.0 \\
39 & 39 & gregory tarver & dem & shreveport & 2011.0 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& party \\
\midrule
0 & rep \\
1 & rep \\
2 & rep \\
\bottomrule
\end{tabular}
| select party where first elected = 2009 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>district</th>
<th>name</th>
<th>party</th>
<th>district office</th>
<th>first elected</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>a.g. crowe</td>
<td>rep</td>
<td>slidell</td>
<td>2007.0</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>troy brown</td>
<td>dem</td>
<td>napoleonville</td>
<td>2011.0</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>j.p. morrell</td>
<td>dem</td>
<td>new orleans</td>
<td>2008.0</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>ed murray</td>
<td>dem</td>
<td>new orleans</td>
<td>2005.0</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>karen carter peterson</td>
<td>dem</td>
<td>new orleans</td>
<td>2010.0</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>bodi white</td>
<td>rep</td>
<td>baton rouge</td>
<td>2011.0</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>david heitmeier</td>
<td>dem</td>
<td>new orleans</td>
<td>2007.0</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>john alario</td>
<td>rep</td>
<td>westwego</td>
<td>2007.0</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>conrad appel</td>
<td>rep</td>
<td>metairie</td>
<td>2008.0</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>daniel martiny</td>
<td>rep</td>
<td>metairie</td>
<td>2007.0</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>jack donahue</td>
<td>rep</td>
<td>mandeville</td>
<td>2007.0</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>ben nevers</td>
<td>dem</td>
<td>bogalusa</td>
<td>2003.0</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>dale m. erdey</td>
<td>rep</td>
<td>livingston</td>
<td>2007.0</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>yvonne dorsey-colomb</td>
<td>dem</td>
<td>baton rouge</td>
<td>2007.0</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>sharon weston broome</td>
<td>dem</td>
<td>baton rouge</td>
<td>2004.0</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>dan claitor</td>
<td>rep</td>
<td>baton rouge</td>
<td>2009.0</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>rick ward, iii</td>
<td>rep</td>
<td>port allen</td>
<td>2011.0</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>jody amedee</td>
<td>rep</td>
<td>gonzales</td>
<td>2003.0</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>gary smith, jr</td>
<td>dem</td>
<td>norco</td>
<td>2011.0</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>norby chabert</td>
<td>rep</td>
<td>houma</td>
<td>2009.0</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>bret allain</td>
<td>rep</td>
<td>franklin</td>
<td>2011.0</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>fred h. mills, jr</td>
<td>rep</td>
<td>new iberia</td>
<td>2011.0</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>page cortez</td>
<td>rep</td>
<td>lafayette</td>
<td>2011.0</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>elbert guillory</td>
<td>rep</td>
<td>opelousas</td>
<td>2009.0</td>
</tr>
<tr>
<th>24</th>
<td>25</td>
<td>dan "blade" morrish</td>
<td>rep</td>
<td>jennings</td>
<td>2007.0</td>
</tr>
<tr>
<th>25</th>
<td>26</td>
<td>jonathan perry</td>
<td>rep</td>
<td>kaplan</td>
<td>2011.0</td>
</tr>
<tr>
<th>26</th>
<td>27</td>
<td>ronnie johns</td>
<td>rep</td>
<td>lake charles</td>
<td>2011.0</td>
</tr>
<tr>
<th>27</th>
<td>28</td>
<td>eric lafleur</td>
<td>dem</td>
<td>ville platte</td>
<td>2007.0</td>
</tr>
<tr>
<th>28</th>
<td>29</td>
<td>rick gallot</td>
<td>dem</td>
<td>ruston</td>
<td>2011.0</td>
</tr>
<tr>
<th>29</th>
<td>30</td>
<td>john r. smith</td>
<td>rep</td>
<td>leesville</td>
<td>2007.0</td>
</tr>
<tr>
<th>30</th>
<td>31</td>
<td>gerald long</td>
<td>rep</td>
<td>winnfield</td>
<td>2007.0</td>
</tr>
<tr>
<th>31</th>
<td>32</td>
<td>neil riser</td>
<td>rep</td>
<td>columbia</td>
<td>2007.0</td>
</tr>
<tr>
<th>32</th>
<td>33</td>
<td>mike walsworth</td>
<td>rep</td>
<td>west monroe</td>
<td>2007.0</td>
</tr>
<tr>
<th>33</th>
<td>34</td>
<td>francis c. thompson</td>
<td>dem</td>
<td>delhi</td>
<td>2007.0</td>
</tr>
<tr>
<th>34</th>
<td>35</td>
<td>robert kostelka</td>
<td>rep</td>
<td>monroe</td>
<td>2003.0</td>
</tr>
<tr>
<th>35</th>
<td>36</td>
<td>robert adley</td>
<td>rep</td>
<td>benton</td>
<td>2003.0</td>
</tr>
<tr>
<th>36</th>
<td>37</td>
<td>bar</td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>37</th>
<td>peacock</td>
<td>rep</td>
<td>bossier</td>
<td>2011</td>
<td></td>
</tr>
<tr>
<th>38</th>
<td>38</td>
<td>sherri smith buffington</td>
<td>rep</td>
<td>keithville</td>
<td>2003.0</td>
</tr>
<tr>
<th>39</th>
<td>39</td>
<td>gregory tarver</td>
<td>dem</td>
<td>shreveport</td>
<td>2011.0</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>party</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>rep</td>
</tr>
<tr>
<th>1</th>
<td>rep</td>
</tr>
<tr>
<th>2</th>
<td>rep</td>
</tr>
</tbody>
</table> | select party where first elected = 2009 <table_name> : table | | district | name | party | district office | first elected |
|---:|:-----------|:------------------------|:--------|:------------------|:----------------|
| 0 | 1 | a.g. crowe | rep | slidell | 2007.0 |
| 1 | 2 | troy brown | dem | napoleonville | 2011.0 |
| 2 | 3 | j.p. morrell | dem | new orleans | 2008.0 |
| 3 | 4 | ed murray | dem | new orleans | 2005.0 |
| 4 | 5 | karen carter peterson | dem | new orleans | 2010.0 |
| 5 | 6 | bodi white | rep | baton rouge | 2011.0 |
| 6 | 7 | david heitmeier | dem | new orleans | 2007.0 |
| 7 | 8 | john alario | rep | westwego | 2007.0 |
| 8 | 9 | conrad appel | rep | metairie | 2008.0 |
| 9 | 10 | daniel martiny | rep | metairie | 2007.0 |
| 10 | 11 | jack donahue | rep | mandeville | 2007.0 |
| 11 | 12 | ben nevers | dem | bogalusa | 2003.0 |
| 12 | 13 | dale m. erdey | rep | livingston | 2007.0 |
| 13 | 14 | yvonne dorsey-colomb | dem | baton rouge | 2007.0 |
| 14 | 15 | sharon weston broome | dem | baton rouge | 2004.0 |
| 15 | 16 | dan claitor | rep | baton rouge | 2009.0 |
| 16 | 17 | rick ward, iii | rep | port allen | 2011.0 |
| 17 | 18 | jody amedee | rep | gonzales | 2003.0 |
| 18 | 19 | gary smith, jr | dem | norco | 2011.0 |
| 19 | 20 | norby chabert | rep | houma | 2009.0 |
| 20 | 21 | bret allain | rep | franklin | 2011.0 |
| 21 | 22 | fred h. mills, jr | rep | new iberia | 2011.0 |
| 22 | 23 | page cortez | rep | lafayette | 2011.0 |
| 23 | 24 | elbert guillory | rep | opelousas | 2009.0 |
| 24 | 25 | dan "blade" morrish | rep | jennings | 2007.0 |
| 25 | 26 | jonathan perry | rep | kaplan | 2011.0 |
| 26 | 27 | ronnie johns | rep | lake charles | 2011.0 |
| 27 | 28 | eric lafleur | dem | ville platte | 2007.0 |
| 28 | 29 | rick gallot | dem | ruston | 2011.0 |
| 29 | 30 | john r. smith | rep | leesville | 2007.0 |
| 30 | 31 | gerald long | rep | winnfield | 2007.0 |
| 31 | 32 | neil riser | rep | columbia | 2007.0 |
| 32 | 33 | mike walsworth | rep | west monroe | 2007.0 |
| 33 | 34 | francis c. thompson | dem | delhi | 2007.0 |
| 34 | 35 | robert kostelka | rep | monroe | 2003.0 |
| 35 | 36 | robert adley | rep | benton | 2003.0 |
| 36 | 37 | bar | | | |
| 37 | peacock | rep | bossier | 2011 | |
| 38 | 38 | sherri smith buffington | rep | keithville | 2003.0 |
| 39 | 39 | gregory tarver | dem | shreveport | 2011.0 | | | | party |
|---:|:--------|
| 0 | rep |
| 1 | rep |
| 2 | rep | | [
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select wrestler where combined defenses > 4 order by rank asc limit 381 col : rank | wrestler | no. of reigns | combined defenses | combined days row 1 : 1 | matt jackson | 3 | 25 | 1386 row 2 : 1 | nick jackson | 3 | 25 | 1386 row 3 : 3 | el generico | 5 | 12 | 637 row 4 : 4 | super dragon | 6 | 3 | 609 row 5 : 5 | scott lost | 5 | 14 | 578 row 6 : 6 | chris bosh | 3 | 11 | 433 row 7 : 7 | paul london | 1 | 5 | 335 row 8 : 8 | davey richards | 3 | 1 | 324 row 9 : 9 | kevin steen | 3 | 4 | 315 row 10 : 10 | player uno | 1 | 2 | 232 row 11 : 10 | stupefied | 1 | 2 | 232 row 12 : 12 | joey ryan | 3 | 3 | 165 row 13 : 13 | roderick strong | 3 | 1 | 121 row 14 : 14 | quicksilver | 3 | 2 | 120 row 15 : 15 | b-boy | 3 | 1 | 84 row 16 : 16 | pac | 1 | 1 | 71 row 17 : 17 | excalibur | 1 | 1 | 63 row 18 : 18 | human tornado | 1 | 1 | 56 row 19 : 18 | jimmy jacobs | 1 | 0 | 56 row 20 : 18 | tyler black | 1 | 0 | 56 row 21 : 21 | jack evans | 1 | 0 | 49 row 22 : 22 | homicide | 1 | 0 | 28 row 23 : 23 | scorpio sky | 1 | 0 | 1 row 24 : 24 | brian cage | 1 | 0 | <1 row 25 : 24 | michael elgin | 1 | 0 | <1 | col : wrestler row 1 : paul london | select wrestler where combined defenses > 4 order by rank asc limit 381 <table_name> : table \begin{tabular}{llllll}
\toprule
& rank & wrestler & no. of reigns & combined defenses & combined days \\
\midrule
0 & 1 & matt jackson & 3 & 25 & 1386 \\
1 & 1 & nick jackson & 3 & 25 & 1386 \\
2 & 3 & el generico & 5 & 12 & 637 \\
3 & 4 & super dragon & 6 & 3 & 609 \\
4 & 5 & scott lost & 5 & 14 & 578 \\
5 & 6 & chris bosh & 3 & 11 & 433 \\
6 & 7 & paul london & 1 & 5 & 335 \\
7 & 8 & davey richards & 3 & 1 & 324 \\
8 & 9 & kevin steen & 3 & 4 & 315 \\
9 & 10 & player uno & 1 & 2 & 232 \\
10 & 10 & stupefied & 1 & 2 & 232 \\
11 & 12 & joey ryan & 3 & 3 & 165 \\
12 & 13 & roderick strong & 3 & 1 & 121 \\
13 & 14 & quicksilver & 3 & 2 & 120 \\
14 & 15 & b-boy & 3 & 1 & 84 \\
15 & 16 & pac & 1 & 1 & 71 \\
16 & 17 & excalibur & 1 & 1 & 63 \\
17 & 18 & human tornado & 1 & 1 & 56 \\
18 & 18 & jimmy jacobs & 1 & 0 & 56 \\
19 & 18 & tyler black & 1 & 0 & 56 \\
20 & 21 & jack evans & 1 & 0 & 49 \\
21 & 22 & homicide & 1 & 0 & 28 \\
22 & 23 & scorpio sky & 1 & 0 & 1 \\
23 & 24 & brian cage & 1 & 0 & <1 \\
24 & 24 & michael elgin & 1 & 0 & <1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& wrestler \\
\midrule
0 & paul london \\
\bottomrule
\end{tabular}
| select wrestler where combined defenses > 4 order by rank asc limit 381 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>wrestler</th>
<th>no. of reigns</th>
<th>combined defenses</th>
<th>combined days</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>matt jackson</td>
<td>3</td>
<td>25</td>
<td>1386</td>
</tr>
<tr>
<th>1</th>
<td>1</td>
<td>nick jackson</td>
<td>3</td>
<td>25</td>
<td>1386</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>el generico</td>
<td>5</td>
<td>12</td>
<td>637</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>super dragon</td>
<td>6</td>
<td>3</td>
<td>609</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>scott lost</td>
<td>5</td>
<td>14</td>
<td>578</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>chris bosh</td>
<td>3</td>
<td>11</td>
<td>433</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>paul london</td>
<td>1</td>
<td>5</td>
<td>335</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>davey richards</td>
<td>3</td>
<td>1</td>
<td>324</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>kevin steen</td>
<td>3</td>
<td>4</td>
<td>315</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>player uno</td>
<td>1</td>
<td>2</td>
<td>232</td>
</tr>
<tr>
<th>10</th>
<td>10</td>
<td>stupefied</td>
<td>1</td>
<td>2</td>
<td>232</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>joey ryan</td>
<td>3</td>
<td>3</td>
<td>165</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>roderick strong</td>
<td>3</td>
<td>1</td>
<td>121</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>quicksilver</td>
<td>3</td>
<td>2</td>
<td>120</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>b-boy</td>
<td>3</td>
<td>1</td>
<td>84</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>pac</td>
<td>1</td>
<td>1</td>
<td>71</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>excalibur</td>
<td>1</td>
<td>1</td>
<td>63</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>human tornado</td>
<td>1</td>
<td>1</td>
<td>56</td>
</tr>
<tr>
<th>18</th>
<td>18</td>
<td>jimmy jacobs</td>
<td>1</td>
<td>0</td>
<td>56</td>
</tr>
<tr>
<th>19</th>
<td>18</td>
<td>tyler black</td>
<td>1</td>
<td>0</td>
<td>56</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>jack evans</td>
<td>1</td>
<td>0</td>
<td>49</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>homicide</td>
<td>1</td>
<td>0</td>
<td>28</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>scorpio sky</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>brian cage</td>
<td>1</td>
<td>0</td>
<td><1</td>
</tr>
<tr>
<th>24</th>
<td>24</td>
<td>michael elgin</td>
<td>1</td>
<td>0</td>
<td><1</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>wrestler</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>paul london</td>
</tr>
</tbody>
</table> | select wrestler where combined defenses > 4 order by rank asc limit 381 <table_name> : table | | rank | wrestler | no. of reigns | combined defenses | combined days |
|---:|-------:|:----------------|----------------:|--------------------:|:----------------|
| 0 | 1 | matt jackson | 3 | 25 | 1386 |
| 1 | 1 | nick jackson | 3 | 25 | 1386 |
| 2 | 3 | el generico | 5 | 12 | 637 |
| 3 | 4 | super dragon | 6 | 3 | 609 |
| 4 | 5 | scott lost | 5 | 14 | 578 |
| 5 | 6 | chris bosh | 3 | 11 | 433 |
| 6 | 7 | paul london | 1 | 5 | 335 |
| 7 | 8 | davey richards | 3 | 1 | 324 |
| 8 | 9 | kevin steen | 3 | 4 | 315 |
| 9 | 10 | player uno | 1 | 2 | 232 |
| 10 | 10 | stupefied | 1 | 2 | 232 |
| 11 | 12 | joey ryan | 3 | 3 | 165 |
| 12 | 13 | roderick strong | 3 | 1 | 121 |
| 13 | 14 | quicksilver | 3 | 2 | 120 |
| 14 | 15 | b-boy | 3 | 1 | 84 |
| 15 | 16 | pac | 1 | 1 | 71 |
| 16 | 17 | excalibur | 1 | 1 | 63 |
| 17 | 18 | human tornado | 1 | 1 | 56 |
| 18 | 18 | jimmy jacobs | 1 | 0 | 56 |
| 19 | 18 | tyler black | 1 | 0 | 56 |
| 20 | 21 | jack evans | 1 | 0 | 49 |
| 21 | 22 | homicide | 1 | 0 | 28 |
| 22 | 23 | scorpio sky | 1 | 0 | 1 |
| 23 | 24 | brian cage | 1 | 0 | <1 |
| 24 | 24 | michael elgin | 1 | 0 | <1 | | | | wrestler |
|---:|:------------|
| 0 | paul london | | [
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select grid where bike = 'honda' col : pos | no | rider | bike | laps | time | grid | points row 1 : 1 | 93 | marc marquez | derbi | 22 | 40:46.315 | 1 | 25 row 2 : 2 | 38 | bradley smith | aprilia | 22 | 4.638 | 3 | 20 row 3 : 3 | 44 | pol espargaro | derbi | 22 | 4.996 | 2 | 16 row 4 : 4 | 11 | sandro cortese | derbi | 22 | 45.366 | 5 | 13 row 5 : 5 | 7 | efren vazquez | derbi | 22 | 45.433 | 8 | 11 row 6 : 6 | 71 | tomoyoshi koyama | aprilia | 22 | 49.685 | 6 | 10 row 7 : 7 | 35 | randy krummenacher | aprilia | 22 | 49.735 | 14 | 9 row 8 : 8 | 14 | johann zarco | aprilia | 22 | 49.743 | 10 | 8 row 9 : 9 | 94 | jonas folger | aprilia | 22 | 49.775 | 12 | 7 row 10 : 10 | 99 | danny webb | aprilia | 22 | 53.115 | 16 | 6 row 11 : 11 | 26 | adrian martin | aprilia | 22 | 58.669 | 19 | 5 row 12 : 12 | 15 | simone grotzkyj | aprilia | 22 | 58.8 | 11 | 4 row 13 : 13 | 23 | alberto moncayo | aprilia | 22 | +1:02.050 | 13 | 3 row 14 : 14 | 78 | marcel schrotter | honda | 22 | +1:15.497 | 23 | 2 row 15 : 15 | 63 | zulfahmi khairuddin | aprilia | 22 | +1:16.029 | 18 | 1 row 16 : 16 | 84 | jakub kornfeil | aprilia | 22 | +1:26.441 | 28 | none row 17 : 17 | 69 | louis rossi | aprilia | 22 | +1:33.613 | 24 | none row 18 : 18 | 87 | luca marconi | aprilia | 22 | +1:36.186 | 25 | none row 19 : 19 | 58 | joan perello | honda | 22 | +1:36.223 | 26 | none row 20 : 20 | 60 | michael van der mark | lambretta | 22 | +1:36.340 | 27 | none row 21 : 21 | 59 | johnny rosell | honda | 22 | +1:43.804 | 22 | none row 22 : 22 | 72 | marco ravaioli | lambretta | 22 | +1:55.331 | 30 | none row 23 : 23 | 56 | peter sebestyen | aprilia | 21 | +1 lap | 32 | none row 24 : ret | 40 | nicolas terol | aprilia | 21 | accident | 4 | none row 25 : ret | 39 | luis salom | aprilia | 14 | retirement | 15 | none row 26 : ret | 17 | eduard lopez | aprilia | 11 | retirement | 31 | none row 27 : ret | 55 | isaac vinales | aprilia | 10 | accident | 21 | none row 28 : ret | 50 | sturla fagerhaug | aprilia | 7 | accident | 17 | none row 29 : ret | 5 | alexis masbou | aprilia | 5 | accident | 9 | none row 30 : ret | 12 | esteve rabat | aprilia | 0 | accident | 7 | none row 31 : ret | 53 | jasper iwema | aprilia | 0 | accident | 20 | none row 32 : dns | 32 | lorenzo savadori | aprilia | none | did not start | 29 | none | col : grid row 1 : 23 row 2 : 26 row 3 : 22 | select grid where bike = 'honda' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& pos & no & rider & bike & laps & time & grid & points \\
\midrule
0 & 1 & 93 & marc marquez & derbi & 22 & 40:46.315 & 1 & 25 \\
1 & 2 & 38 & bradley smith & aprilia & 22 & 4.638 & 3 & 20 \\
2 & 3 & 44 & pol espargaro & derbi & 22 & 4.996 & 2 & 16 \\
3 & 4 & 11 & sandro cortese & derbi & 22 & 45.366 & 5 & 13 \\
4 & 5 & 7 & efren vazquez & derbi & 22 & 45.433 & 8 & 11 \\
5 & 6 & 71 & tomoyoshi koyama & aprilia & 22 & 49.685 & 6 & 10 \\
6 & 7 & 35 & randy krummenacher & aprilia & 22 & 49.735 & 14 & 9 \\
7 & 8 & 14 & johann zarco & aprilia & 22 & 49.743 & 10 & 8 \\
8 & 9 & 94 & jonas folger & aprilia & 22 & 49.775 & 12 & 7 \\
9 & 10 & 99 & danny webb & aprilia & 22 & 53.115 & 16 & 6 \\
10 & 11 & 26 & adrian martin & aprilia & 22 & 58.669 & 19 & 5 \\
11 & 12 & 15 & simone grotzkyj & aprilia & 22 & 58.8 & 11 & 4 \\
12 & 13 & 23 & alberto moncayo & aprilia & 22 & +1:02.050 & 13 & 3 \\
13 & 14 & 78 & marcel schrotter & honda & 22 & +1:15.497 & 23 & 2 \\
14 & 15 & 63 & zulfahmi khairuddin & aprilia & 22 & +1:16.029 & 18 & 1 \\
15 & 16 & 84 & jakub kornfeil & aprilia & 22 & +1:26.441 & 28 & none \\
16 & 17 & 69 & louis rossi & aprilia & 22 & +1:33.613 & 24 & none \\
17 & 18 & 87 & luca marconi & aprilia & 22 & +1:36.186 & 25 & none \\
18 & 19 & 58 & joan perello & honda & 22 & +1:36.223 & 26 & none \\
19 & 20 & 60 & michael van der mark & lambretta & 22 & +1:36.340 & 27 & none \\
20 & 21 & 59 & johnny rosell & honda & 22 & +1:43.804 & 22 & none \\
21 & 22 & 72 & marco ravaioli & lambretta & 22 & +1:55.331 & 30 & none \\
22 & 23 & 56 & peter sebestyen & aprilia & 21 & +1 lap & 32 & none \\
23 & ret & 40 & nicolas terol & aprilia & 21 & accident & 4 & none \\
24 & ret & 39 & luis salom & aprilia & 14 & retirement & 15 & none \\
25 & ret & 17 & eduard lopez & aprilia & 11 & retirement & 31 & none \\
26 & ret & 55 & isaac vinales & aprilia & 10 & accident & 21 & none \\
27 & ret & 50 & sturla fagerhaug & aprilia & 7 & accident & 17 & none \\
28 & ret & 5 & alexis masbou & aprilia & 5 & accident & 9 & none \\
29 & ret & 12 & esteve rabat & aprilia & 0 & accident & 7 & none \\
30 & ret & 53 & jasper iwema & aprilia & 0 & accident & 20 & none \\
31 & dns & 32 & lorenzo savadori & aprilia & none & did not start & 29 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& grid \\
\midrule
0 & 23 \\
1 & 26 \\
2 & 22 \\
\bottomrule
\end{tabular}
| select grid where bike = 'honda' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos</th>
<th>no</th>
<th>rider</th>
<th>bike</th>
<th>laps</th>
<th>time</th>
<th>grid</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>93</td>
<td>marc marquez</td>
<td>derbi</td>
<td>22</td>
<td>40:46.315</td>
<td>1</td>
<td>25</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>38</td>
<td>bradley smith</td>
<td>aprilia</td>
<td>22</td>
<td>4.638</td>
<td>3</td>
<td>20</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>44</td>
<td>pol espargaro</td>
<td>derbi</td>
<td>22</td>
<td>4.996</td>
<td>2</td>
<td>16</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>11</td>
<td>sandro cortese</td>
<td>derbi</td>
<td>22</td>
<td>45.366</td>
<td>5</td>
<td>13</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>7</td>
<td>efren vazquez</td>
<td>derbi</td>
<td>22</td>
<td>45.433</td>
<td>8</td>
<td>11</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>71</td>
<td>tomoyoshi koyama</td>
<td>aprilia</td>
<td>22</td>
<td>49.685</td>
<td>6</td>
<td>10</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>35</td>
<td>randy krummenacher</td>
<td>aprilia</td>
<td>22</td>
<td>49.735</td>
<td>14</td>
<td>9</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>14</td>
<td>johann zarco</td>
<td>aprilia</td>
<td>22</td>
<td>49.743</td>
<td>10</td>
<td>8</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>94</td>
<td>jonas folger</td>
<td>aprilia</td>
<td>22</td>
<td>49.775</td>
<td>12</td>
<td>7</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>99</td>
<td>danny webb</td>
<td>aprilia</td>
<td>22</td>
<td>53.115</td>
<td>16</td>
<td>6</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>26</td>
<td>adrian martin</td>
<td>aprilia</td>
<td>22</td>
<td>58.669</td>
<td>19</td>
<td>5</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>15</td>
<td>simone grotzkyj</td>
<td>aprilia</td>
<td>22</td>
<td>58.8</td>
<td>11</td>
<td>4</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>23</td>
<td>alberto moncayo</td>
<td>aprilia</td>
<td>22</td>
<td>+1:02.050</td>
<td>13</td>
<td>3</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>78</td>
<td>marcel schrotter</td>
<td>honda</td>
<td>22</td>
<td>+1:15.497</td>
<td>23</td>
<td>2</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>63</td>
<td>zulfahmi khairuddin</td>
<td>aprilia</td>
<td>22</td>
<td>+1:16.029</td>
<td>18</td>
<td>1</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>84</td>
<td>jakub kornfeil</td>
<td>aprilia</td>
<td>22</td>
<td>+1:26.441</td>
<td>28</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>69</td>
<td>louis rossi</td>
<td>aprilia</td>
<td>22</td>
<td>+1:33.613</td>
<td>24</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>87</td>
<td>luca marconi</td>
<td>aprilia</td>
<td>22</td>
<td>+1:36.186</td>
<td>25</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>58</td>
<td>joan perello</td>
<td>honda</td>
<td>22</td>
<td>+1:36.223</td>
<td>26</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>60</td>
<td>michael van der mark</td>
<td>lambretta</td>
<td>22</td>
<td>+1:36.340</td>
<td>27</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>59</td>
<td>johnny rosell</td>
<td>honda</td>
<td>22</td>
<td>+1:43.804</td>
<td>22</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>72</td>
<td>marco ravaioli</td>
<td>lambretta</td>
<td>22</td>
<td>+1:55.331</td>
<td>30</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>56</td>
<td>peter sebestyen</td>
<td>aprilia</td>
<td>21</td>
<td>+1 lap</td>
<td>32</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>ret</td>
<td>40</td>
<td>nicolas terol</td>
<td>aprilia</td>
<td>21</td>
<td>accident</td>
<td>4</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>ret</td>
<td>39</td>
<td>luis salom</td>
<td>aprilia</td>
<td>14</td>
<td>retirement</td>
<td>15</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>ret</td>
<td>17</td>
<td>eduard lopez</td>
<td>aprilia</td>
<td>11</td>
<td>retirement</td>
<td>31</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>ret</td>
<td>55</td>
<td>isaac vinales</td>
<td>aprilia</td>
<td>10</td>
<td>accident</td>
<td>21</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>ret</td>
<td>50</td>
<td>sturla fagerhaug</td>
<td>aprilia</td>
<td>7</td>
<td>accident</td>
<td>17</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>ret</td>
<td>5</td>
<td>alexis masbou</td>
<td>aprilia</td>
<td>5</td>
<td>accident</td>
<td>9</td>
<td>none</td>
</tr>
<tr>
<th>29</th>
<td>ret</td>
<td>12</td>
<td>esteve rabat</td>
<td>aprilia</td>
<td>0</td>
<td>accident</td>
<td>7</td>
<td>none</td>
</tr>
<tr>
<th>30</th>
<td>ret</td>
<td>53</td>
<td>jasper iwema</td>
<td>aprilia</td>
<td>0</td>
<td>accident</td>
<td>20</td>
<td>none</td>
</tr>
<tr>
<th>31</th>
<td>dns</td>
<td>32</td>
<td>lorenzo savadori</td>
<td>aprilia</td>
<td>none</td>
<td>did not start</td>
<td>29</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>grid</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>23</td>
</tr>
<tr>
<th>1</th>
<td>26</td>
</tr>
<tr>
<th>2</th>
<td>22</td>
</tr>
</tbody>
</table> | select grid where bike = 'honda' <table_name> : table | | pos | no | rider | bike | laps | time | grid | points |
|---:|:------|-----:|:---------------------|:----------|:-------|:--------------|-------:|:---------|
| 0 | 1 | 93 | marc marquez | derbi | 22 | 40:46.315 | 1 | 25 |
| 1 | 2 | 38 | bradley smith | aprilia | 22 | 4.638 | 3 | 20 |
| 2 | 3 | 44 | pol espargaro | derbi | 22 | 4.996 | 2 | 16 |
| 3 | 4 | 11 | sandro cortese | derbi | 22 | 45.366 | 5 | 13 |
| 4 | 5 | 7 | efren vazquez | derbi | 22 | 45.433 | 8 | 11 |
| 5 | 6 | 71 | tomoyoshi koyama | aprilia | 22 | 49.685 | 6 | 10 |
| 6 | 7 | 35 | randy krummenacher | aprilia | 22 | 49.735 | 14 | 9 |
| 7 | 8 | 14 | johann zarco | aprilia | 22 | 49.743 | 10 | 8 |
| 8 | 9 | 94 | jonas folger | aprilia | 22 | 49.775 | 12 | 7 |
| 9 | 10 | 99 | danny webb | aprilia | 22 | 53.115 | 16 | 6 |
| 10 | 11 | 26 | adrian martin | aprilia | 22 | 58.669 | 19 | 5 |
| 11 | 12 | 15 | simone grotzkyj | aprilia | 22 | 58.8 | 11 | 4 |
| 12 | 13 | 23 | alberto moncayo | aprilia | 22 | +1:02.050 | 13 | 3 |
| 13 | 14 | 78 | marcel schrotter | honda | 22 | +1:15.497 | 23 | 2 |
| 14 | 15 | 63 | zulfahmi khairuddin | aprilia | 22 | +1:16.029 | 18 | 1 |
| 15 | 16 | 84 | jakub kornfeil | aprilia | 22 | +1:26.441 | 28 | none |
| 16 | 17 | 69 | louis rossi | aprilia | 22 | +1:33.613 | 24 | none |
| 17 | 18 | 87 | luca marconi | aprilia | 22 | +1:36.186 | 25 | none |
| 18 | 19 | 58 | joan perello | honda | 22 | +1:36.223 | 26 | none |
| 19 | 20 | 60 | michael van der mark | lambretta | 22 | +1:36.340 | 27 | none |
| 20 | 21 | 59 | johnny rosell | honda | 22 | +1:43.804 | 22 | none |
| 21 | 22 | 72 | marco ravaioli | lambretta | 22 | +1:55.331 | 30 | none |
| 22 | 23 | 56 | peter sebestyen | aprilia | 21 | +1 lap | 32 | none |
| 23 | ret | 40 | nicolas terol | aprilia | 21 | accident | 4 | none |
| 24 | ret | 39 | luis salom | aprilia | 14 | retirement | 15 | none |
| 25 | ret | 17 | eduard lopez | aprilia | 11 | retirement | 31 | none |
| 26 | ret | 55 | isaac vinales | aprilia | 10 | accident | 21 | none |
| 27 | ret | 50 | sturla fagerhaug | aprilia | 7 | accident | 17 | none |
| 28 | ret | 5 | alexis masbou | aprilia | 5 | accident | 9 | none |
| 29 | ret | 12 | esteve rabat | aprilia | 0 | accident | 7 | none |
| 30 | ret | 53 | jasper iwema | aprilia | 0 | accident | 20 | none |
| 31 | dns | 32 | lorenzo savadori | aprilia | none | did not start | 29 | none | | | | grid |
|---:|-------:|
| 0 | 23 |
| 1 | 26 |
| 2 | 22 | | [
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select count ( * ) where team #2 = 'norway' col : date | time (edt) | team #1 | res. | team #2 | round | spectators row 1 : 1994-06-18 00:00:00 | 16.0 | italy | 0-1 | republic of ireland | group e | 75338 row 2 : 1994-06-23 00:00:00 | 16.0 | italy | 1-0 | norway | group e | 74624 row 3 : 1994-06-25 00:00:00 | 12.3 | saudi arabia | 2-1 | morocco | group f | 76322 row 4 : 1994-06-28 00:00:00 | 12.3 | republic of ireland | 0-0 | norway | group e | 72404 row 5 : 1994-07-05 00:00:00 | 16.3 | mexico | 1-1 (1-3 on pen.) | bulgaria | round of 16 | 71030 row 6 : 1994-07-10 00:00:00 | 12.0 | bulgaria | 2-1 | germany | quarterfinals | 72000 row 7 : 1994-07-13 00:00:00 | 16.0 | bulgaria | 1-2 | italy | semifinals | 74110 | col : count ( "*" ) row 1 : 2 | select count ( * ) where team #2 = 'norway' <table_name> : table \begin{tabular}{llllllll}
\toprule
& date & time (edt) & team #1 & res. & team #2 & round & spectators \\
\midrule
0 & 1994-06-18 00:00:00 & 16.0 & italy & 0-1 & republic of ireland & group e & 75338 \\
1 & 1994-06-23 00:00:00 & 16.0 & italy & 1-0 & norway & group e & 74624 \\
2 & 1994-06-25 00:00:00 & 12.3 & saudi arabia & 2-1 & morocco & group f & 76322 \\
3 & 1994-06-28 00:00:00 & 12.3 & republic of ireland & 0-0 & norway & group e & 72404 \\
4 & 1994-07-05 00:00:00 & 16.3 & mexico & 1-1 (1-3 on pen.) & bulgaria & round of 16 & 71030 \\
5 & 1994-07-10 00:00:00 & 12.0 & bulgaria & 2-1 & germany & quarterfinals & 72000 \\
6 & 1994-07-13 00:00:00 & 16.0 & bulgaria & 1-2 & italy & semifinals & 74110 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select count ( * ) where team #2 = 'norway' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>time (edt)</th>
<th>team #1</th>
<th>res.</th>
<th>team #2</th>
<th>round</th>
<th>spectators</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1994-06-18 00:00:00</td>
<td>16.0</td>
<td>italy</td>
<td>0-1</td>
<td>republic of ireland</td>
<td>group e</td>
<td>75338</td>
</tr>
<tr>
<th>1</th>
<td>1994-06-23 00:00:00</td>
<td>16.0</td>
<td>italy</td>
<td>1-0</td>
<td>norway</td>
<td>group e</td>
<td>74624</td>
</tr>
<tr>
<th>2</th>
<td>1994-06-25 00:00:00</td>
<td>12.3</td>
<td>saudi arabia</td>
<td>2-1</td>
<td>morocco</td>
<td>group f</td>
<td>76322</td>
</tr>
<tr>
<th>3</th>
<td>1994-06-28 00:00:00</td>
<td>12.3</td>
<td>republic of ireland</td>
<td>0-0</td>
<td>norway</td>
<td>group e</td>
<td>72404</td>
</tr>
<tr>
<th>4</th>
<td>1994-07-05 00:00:00</td>
<td>16.3</td>
<td>mexico</td>
<td>1-1 (1-3 on pen.)</td>
<td>bulgaria</td>
<td>round of 16</td>
<td>71030</td>
</tr>
<tr>
<th>5</th>
<td>1994-07-10 00:00:00</td>
<td>12.0</td>
<td>bulgaria</td>
<td>2-1</td>
<td>germany</td>
<td>quarterfinals</td>
<td>72000</td>
</tr>
<tr>
<th>6</th>
<td>1994-07-13 00:00:00</td>
<td>16.0</td>
<td>bulgaria</td>
<td>1-2</td>
<td>italy</td>
<td>semifinals</td>
<td>74110</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2</td>
</tr>
</tbody>
</table> | select count ( * ) where team #2 = 'norway' <table_name> : table | | date | time (edt) | team #1 | res. | team #2 | round | spectators |
|---:|:--------------------|-------------:|:--------------------|:------------------|:--------------------|:--------------|-------------:|
| 0 | 1994-06-18 00:00:00 | 16 | italy | 0-1 | republic of ireland | group e | 75338 |
| 1 | 1994-06-23 00:00:00 | 16 | italy | 1-0 | norway | group e | 74624 |
| 2 | 1994-06-25 00:00:00 | 12.3 | saudi arabia | 2-1 | morocco | group f | 76322 |
| 3 | 1994-06-28 00:00:00 | 12.3 | republic of ireland | 0-0 | norway | group e | 72404 |
| 4 | 1994-07-05 00:00:00 | 16.3 | mexico | 1-1 (1-3 on pen.) | bulgaria | round of 16 | 71030 |
| 5 | 1994-07-10 00:00:00 | 12 | bulgaria | 2-1 | germany | quarterfinals | 72000 |
| 6 | 1994-07-13 00:00:00 | 16 | bulgaria | 1-2 | italy | semifinals | 74110 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 2 | | [
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select count ( * ) where event = 'iwl oktoberfest' col : # | wrestlers | reign | date | days held | location | event | notes row 1 : 1 | los perros del mal (bestia 666 and x-fly) | 1 | 2010-11-28 00:00:00 | 311 | cuautitlan izcalli, state of mexico | iwl house show | los perros del mal defeated los traumas (trauma i and trauma ii) in the final of an eight team tournament to become the inaugural champions row 2 : none | vacated | none | 2011-10-05 00:00:00 | none | tlalnepantla, state of mexico | announced on iwl official's facebook | after bestia 666 and x-fly had on multiple occasions defended the title without iwl's authorization, the promotion announced that they would no longer recognize the title and would have it replaced by the new iwl international tag team championship row 3 : 2 | scorpio, jr. and super crazy | 1 | 2011-10-22 00:00:00 | 580 | tlalnepantla, state of mexico | iwl oktoberfest | scorpio, jr. & super crazy defeated the team of aero star & electroshock to win the vacant title row 4 : none | vacated | none | 2011-05-01 00:00:00 | none | none | announced on iwl official's facebook | none row 5 : 3 | ultimo gladiador and ultimo vampiro | 1 | 2013-06-16 00:00:00 | 145 | huehuetoca, state of mexico | iwl oktoberfest | defeated los piratas (hijo de pirata morgan & pirata morgan), scorpio jr. & zumbido and tony rivera & veneno to win the vacant title row 6 : none | vacated | none | 2011-11-05 00:00:00 | none | none | the iwl explained that ultimo gladiador its share some days earlier gave back to the title, so declared the title vacant | none row 7 : 4 | dinamic black & fresero jr | 1 | 2013-11-05 00:00:00 | 231 | hidalgo, state of mexico | live event | defeated mascara jr. & ultimo vampiro to win the vacant title | col : count ( "*" ) row 1 : 2 | select count ( * ) where event = 'iwl oktoberfest' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& # & wrestlers & reign & date & days held & location & event & notes \\
\midrule
0 & 1 & los perros del mal (bestia 666 and x-fly) & 1 & 2010-11-28 00:00:00 & 311 & cuautitlan izcalli, state of mexico & iwl house show & los perros del mal defeated los traumas (trauma i and trauma ii) in the final of an eight team tournament to become the inaugural champions \\
1 & none & vacated & none & 2011-10-05 00:00:00 & none & tlalnepantla, state of mexico & announced on iwl official's facebook & after bestia 666 and x-fly had on multiple occasions defended the title without iwl's authorization, the promotion announced that they would no longer recognize the title and would have it replaced by the new iwl international tag team championship \\
2 & 2 & scorpio, jr. and super crazy & 1 & 2011-10-22 00:00:00 & 580 & tlalnepantla, state of mexico & iwl oktoberfest & scorpio, jr. & super crazy defeated the team of aero star & electroshock to win the vacant title \\
3 & none & vacated & none & 2011-05-01 00:00:00 & none & none & announced on iwl official's facebook & none \\
4 & 3 & ultimo gladiador and ultimo vampiro & 1 & 2013-06-16 00:00:00 & 145 & huehuetoca, state of mexico & iwl oktoberfest & defeated los piratas (hijo de pirata morgan & pirata morgan), scorpio jr. & zumbido and tony rivera & veneno to win the vacant title \\
5 & none & vacated & none & 2011-11-05 00:00:00 & none & none & the iwl explained that ultimo gladiador its share some days earlier gave back to the title, so declared the title vacant & none \\
6 & 4 & dinamic black & fresero jr & 1 & 2013-11-05 00:00:00 & 231 & hidalgo, state of mexico & live event & defeated mascara jr. & ultimo vampiro to win the vacant title \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select count ( * ) where event = 'iwl oktoberfest' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>wrestlers</th>
<th>reign</th>
<th>date</th>
<th>days held</th>
<th>location</th>
<th>event</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>los perros del mal (bestia 666 and x-fly)</td>
<td>1</td>
<td>2010-11-28 00:00:00</td>
<td>311</td>
<td>cuautitlan izcalli, state of mexico</td>
<td>iwl house show</td>
<td>los perros del mal defeated los traumas (trauma i and trauma ii) in the final of an eight team tournament to become the inaugural champions</td>
</tr>
<tr>
<th>1</th>
<td>none</td>
<td>vacated</td>
<td>none</td>
<td>2011-10-05 00:00:00</td>
<td>none</td>
<td>tlalnepantla, state of mexico</td>
<td>announced on iwl official's facebook</td>
<td>after bestia 666 and x-fly had on multiple occasions defended the title without iwl's authorization, the promotion announced that they would no longer recognize the title and would have it replaced by the new iwl international tag team championship</td>
</tr>
<tr>
<th>2</th>
<td>2</td>
<td>scorpio, jr. and super crazy</td>
<td>1</td>
<td>2011-10-22 00:00:00</td>
<td>580</td>
<td>tlalnepantla, state of mexico</td>
<td>iwl oktoberfest</td>
<td>scorpio, jr. & super crazy defeated the team of aero star & electroshock to win the vacant title</td>
</tr>
<tr>
<th>3</th>
<td>none</td>
<td>vacated</td>
<td>none</td>
<td>2011-05-01 00:00:00</td>
<td>none</td>
<td>none</td>
<td>announced on iwl official's facebook</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>3</td>
<td>ultimo gladiador and ultimo vampiro</td>
<td>1</td>
<td>2013-06-16 00:00:00</td>
<td>145</td>
<td>huehuetoca, state of mexico</td>
<td>iwl oktoberfest</td>
<td>defeated los piratas (hijo de pirata morgan & pirata morgan), scorpio jr. & zumbido and tony rivera & veneno to win the vacant title</td>
</tr>
<tr>
<th>5</th>
<td>none</td>
<td>vacated</td>
<td>none</td>
<td>2011-11-05 00:00:00</td>
<td>none</td>
<td>none</td>
<td>the iwl explained that ultimo gladiador its share some days earlier gave back to the title, so declared the title vacant</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>4</td>
<td>dinamic black & fresero jr</td>
<td>1</td>
<td>2013-11-05 00:00:00</td>
<td>231</td>
<td>hidalgo, state of mexico</td>
<td>live event</td>
<td>defeated mascara jr. & ultimo vampiro to win the vacant title</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2</td>
</tr>
</tbody>
</table> | select count ( * ) where event = 'iwl oktoberfest' <table_name> : table | | # | wrestlers | reign | date | days held | location | event | notes |
|---:|:-----|:------------------------------------------|:--------|:--------------------|:------------|:------------------------------------|:-------------------------------------------------------------------------------------------------------------------------|:---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 1 | los perros del mal (bestia 666 and x-fly) | 1 | 2010-11-28 00:00:00 | 311 | cuautitlan izcalli, state of mexico | iwl house show | los perros del mal defeated los traumas (trauma i and trauma ii) in the final of an eight team tournament to become the inaugural champions |
| 1 | none | vacated | none | 2011-10-05 00:00:00 | none | tlalnepantla, state of mexico | announced on iwl official's facebook | after bestia 666 and x-fly had on multiple occasions defended the title without iwl's authorization, the promotion announced that they would no longer recognize the title and would have it replaced by the new iwl international tag team championship |
| 2 | 2 | scorpio, jr. and super crazy | 1 | 2011-10-22 00:00:00 | 580 | tlalnepantla, state of mexico | iwl oktoberfest | scorpio, jr. & super crazy defeated the team of aero star & electroshock to win the vacant title |
| 3 | none | vacated | none | 2011-05-01 00:00:00 | none | none | announced on iwl official's facebook | none |
| 4 | 3 | ultimo gladiador and ultimo vampiro | 1 | 2013-06-16 00:00:00 | 145 | huehuetoca, state of mexico | iwl oktoberfest | defeated los piratas (hijo de pirata morgan & pirata morgan), scorpio jr. & zumbido and tony rivera & veneno to win the vacant title |
| 5 | none | vacated | none | 2011-11-05 00:00:00 | none | none | the iwl explained that ultimo gladiador its share some days earlier gave back to the title, so declared the title vacant | none |
| 6 | 4 | dinamic black & fresero jr | 1 | 2013-11-05 00:00:00 | 231 | hidalgo, state of mexico | live event | defeated mascara jr. & ultimo vampiro to win the vacant title | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 2 | | [
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select count ( * ) where film = 'enchanted' col : # | title | performer(s) | film | length row 1 : 1 | "once upon a dream" | emily osment | sleeping beauty | 3:32 row 2 : 2 | "that's how you know" | demi lovato | enchanted | 3:12 row 3 : 3 | "some day my prince will come" | ashley tisdale | snow white and the seven dwarfs | 3:30 row 4 : 4 | "colors of the wind" | vanessa hudgens | pocahontas | 3:58 row 5 : 5 | "reflection" | christina aguilera | mulan | 3:33 row 6 : 6 | "so this is love" | the cheetah girls | cinderella | 3:40 row 7 : 7 | "kiss the girl" | colbie caillat | the little mermaid | 3:16 row 8 : 8 | "it's not just make believe" | kari kimmel | ella enchanted | 3:06 row 9 : 9 | "under the sea" | raven-symone | the little mermaid | 3:15 row 10 : 10 | "ever ever after" | jordan pruitt | enchanted | 3:12 row 11 : 11 | "true to your heart" | keke palmer | mulan | 3:22 row 12 : 12 | "happy working song" | amy adams | enchanted | 2:09 row 13 : 13 | "part of your world" | original broadway cast | the little mermaid | 3:23 row 14 : 14 | "a dream is a wish your heart makes" | disney channel stars | cinderella | 3:46 | col : count ( "*" ) row 1 : 3 | select count ( * ) where film = 'enchanted' <table_name> : table \begin{tabular}{llllll}
\toprule
& # & title & performer(s) & film & length \\
\midrule
0 & 1 & "once upon a dream" & emily osment & sleeping beauty & 3:32 \\
1 & 2 & "that's how you know" & demi lovato & enchanted & 3:12 \\
2 & 3 & "some day my prince will come" & ashley tisdale & snow white and the seven dwarfs & 3:30 \\
3 & 4 & "colors of the wind" & vanessa hudgens & pocahontas & 3:58 \\
4 & 5 & "reflection" & christina aguilera & mulan & 3:33 \\
5 & 6 & "so this is love" & the cheetah girls & cinderella & 3:40 \\
6 & 7 & "kiss the girl" & colbie caillat & the little mermaid & 3:16 \\
7 & 8 & "it's not just make believe" & kari kimmel & ella enchanted & 3:06 \\
8 & 9 & "under the sea" & raven-symone & the little mermaid & 3:15 \\
9 & 10 & "ever ever after" & jordan pruitt & enchanted & 3:12 \\
10 & 11 & "true to your heart" & keke palmer & mulan & 3:22 \\
11 & 12 & "happy working song" & amy adams & enchanted & 2:09 \\
12 & 13 & "part of your world" & original broadway cast & the little mermaid & 3:23 \\
13 & 14 & "a dream is a wish your heart makes" & disney channel stars & cinderella & 3:46 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 3 \\
\bottomrule
\end{tabular}
| select count ( * ) where film = 'enchanted' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>title</th>
<th>performer(s)</th>
<th>film</th>
<th>length</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>"once upon a dream"</td>
<td>emily osment</td>
<td>sleeping beauty</td>
<td>3:32</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>"that's how you know"</td>
<td>demi lovato</td>
<td>enchanted</td>
<td>3:12</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>"some day my prince will come"</td>
<td>ashley tisdale</td>
<td>snow white and the seven dwarfs</td>
<td>3:30</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>"colors of the wind"</td>
<td>vanessa hudgens</td>
<td>pocahontas</td>
<td>3:58</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>"reflection"</td>
<td>christina aguilera</td>
<td>mulan</td>
<td>3:33</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>"so this is love"</td>
<td>the cheetah girls</td>
<td>cinderella</td>
<td>3:40</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>"kiss the girl"</td>
<td>colbie caillat</td>
<td>the little mermaid</td>
<td>3:16</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>"it's not just make believe"</td>
<td>kari kimmel</td>
<td>ella enchanted</td>
<td>3:06</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>"under the sea"</td>
<td>raven-symone</td>
<td>the little mermaid</td>
<td>3:15</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>"ever ever after"</td>
<td>jordan pruitt</td>
<td>enchanted</td>
<td>3:12</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>"true to your heart"</td>
<td>keke palmer</td>
<td>mulan</td>
<td>3:22</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>"happy working song"</td>
<td>amy adams</td>
<td>enchanted</td>
<td>2:09</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>"part of your world"</td>
<td>original broadway cast</td>
<td>the little mermaid</td>
<td>3:23</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>"a dream is a wish your heart makes"</td>
<td>disney channel stars</td>
<td>cinderella</td>
<td>3:46</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>3</td>
</tr>
</tbody>
</table> | select count ( * ) where film = 'enchanted' <table_name> : table | | # | title | performer(s) | film | length |
|---:|----:|:-------------------------------------|:-----------------------|:--------------------------------|:---------|
| 0 | 1 | "once upon a dream" | emily osment | sleeping beauty | 3:32 |
| 1 | 2 | "that's how you know" | demi lovato | enchanted | 3:12 |
| 2 | 3 | "some day my prince will come" | ashley tisdale | snow white and the seven dwarfs | 3:30 |
| 3 | 4 | "colors of the wind" | vanessa hudgens | pocahontas | 3:58 |
| 4 | 5 | "reflection" | christina aguilera | mulan | 3:33 |
| 5 | 6 | "so this is love" | the cheetah girls | cinderella | 3:40 |
| 6 | 7 | "kiss the girl" | colbie caillat | the little mermaid | 3:16 |
| 7 | 8 | "it's not just make believe" | kari kimmel | ella enchanted | 3:06 |
| 8 | 9 | "under the sea" | raven-symone | the little mermaid | 3:15 |
| 9 | 10 | "ever ever after" | jordan pruitt | enchanted | 3:12 |
| 10 | 11 | "true to your heart" | keke palmer | mulan | 3:22 |
| 11 | 12 | "happy working song" | amy adams | enchanted | 2:09 |
| 12 | 13 | "part of your world" | original broadway cast | the little mermaid | 3:23 |
| 13 | 14 | "a dream is a wish your heart makes" | disney channel stars | cinderella | 3:46 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 3 | | [
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select count ( * ) where pos = 'dnpq' col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 1 | alain prost | ferrari | 64 | 1:18:30.999 | 5 | 9 row 2 : 2 | 5 | thierry boutsen | williams-renault | 64 | + 39.092 | 4 | 6 row 3 : 3 | 27 | ayrton senna | mclaren-honda | 64 | + 43.088 | 2 | 4 row 4 : 4 | 29 | eric bernard | lola-lamborghini | 64 | + 1:15.302 | 8 | 3 row 5 : 5 | 20 | nelson piquet | benetton-ford | 64 | + 1:24.003 | 11 | 2 row 6 : 6 | 30 | aguri suzuki | lola-lamborghini | 63 | + 1 lap | 9 | 1 row 7 : 7 | 10 | alex caffi | arrows-ford | 63 | + 1 lap | 17 | none row 8 : 8 | 4 | jean alesi | tyrrell-ford | 63 | + 1 lap | 6 | none row 9 : 9 | 8 | stefano modena | brabham-judd | 62 | + 2 laps | 20 | none row 10 : 10 | 25 | nicola larini | ligier-ford | 62 | + 2 laps | 21 | none row 11 : 11 | 21 | emanuele pirro | dallara-ford | 62 | + 2 laps | 19 | none row 12 : 12 | 24 | paolo barilla | minardi-ford | 62 | + 2 laps | 24 | none row 13 : 13 | 26 | philippe alliot | ligier-ford | 61 | + 3 laps | 22 | none row 14 : 14 | 28 | gerhard berger | mclaren-honda | 60 | throttle | 3 | none row 15 : ret | 2 | nigel mansell | ferrari | 55 | gearbox | 1 | none row 16 : ret | 16 | ivan capelli | leyton house-judd | 48 | fuel leak | 10 | none row 17 : ret | 12 | martin donnelly | lotus-lamborghini | 48 | engine | 14 | none row 18 : ret | 11 | derek warwick | lotus-lamborghini | 46 | engine | 16 | none row 19 : ret | 17 | gabriele tarquini | ags-ford | 41 | engine | 26 | none row 20 : ret | 9 | michele alboreto | arrows-ford | 37 | engine | 25 | none row 21 : ret | 6 | riccardo patrese | williams-renault | 26 | chassis | 7 | none row 22 : ret | 3 | satoru nakajima | tyrrell-ford | 20 | electrical | 12 | none row 23 : ret | 19 | alessandro nannini | benetton-ford | 15 | collision | 13 | none row 24 : ret | 22 | andrea de cesaris | dallara-ford | 12 | fuel system | 23 | none row 25 : ret | 23 | pierluigi martini | minardi-ford | 3 | alternator | 18 | none row 26 : dns | 15 | mauricio gugelmin | leyton house-judd | 0 | fuel pump | 15 | none row 27 : dnq | 14 | olivier grouillard | osella-ford | none | none | none | none row 28 : dnq | 7 | david brabham | brabham-judd | none | none | none | none row 29 : dnq | 36 | jj lehto | onyx-ford | none | none | none | none row 30 : dnq | 35 | gregor foitek | onyx-ford | none | none | none | none row 31 : dnpq | 33 | roberto moreno | eurobrun-judd | none | none | none | none row 32 : dnpq | 18 | yannick dalmas | ags-ford | none | none | none | none row 33 : dnpq | 34 | claudio langes | eurobrun-judd | none | none | none | none row 34 : dnpq | 31 | bertrand gachot | coloni-subaru | none | none | none | none row 35 : dnpq | 39 | bruno giacomelli | life | none | none | none | none | col : count ( "*" ) row 1 : 5 | select count ( * ) where pos = 'dnpq' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& pos & no & driver & constructor & laps & time/retired & grid & points \\
\midrule
0 & 1 & 1 & alain prost & ferrari & 64 & 1:18:30.999 & 5 & 9 \\
1 & 2 & 5 & thierry boutsen & williams-renault & 64 & + 39.092 & 4 & 6 \\
2 & 3 & 27 & ayrton senna & mclaren-honda & 64 & + 43.088 & 2 & 4 \\
3 & 4 & 29 & eric bernard & lola-lamborghini & 64 & + 1:15.302 & 8 & 3 \\
4 & 5 & 20 & nelson piquet & benetton-ford & 64 & + 1:24.003 & 11 & 2 \\
5 & 6 & 30 & aguri suzuki & lola-lamborghini & 63 & + 1 lap & 9 & 1 \\
6 & 7 & 10 & alex caffi & arrows-ford & 63 & + 1 lap & 17 & none \\
7 & 8 & 4 & jean alesi & tyrrell-ford & 63 & + 1 lap & 6 & none \\
8 & 9 & 8 & stefano modena & brabham-judd & 62 & + 2 laps & 20 & none \\
9 & 10 & 25 & nicola larini & ligier-ford & 62 & + 2 laps & 21 & none \\
10 & 11 & 21 & emanuele pirro & dallara-ford & 62 & + 2 laps & 19 & none \\
11 & 12 & 24 & paolo barilla & minardi-ford & 62 & + 2 laps & 24 & none \\
12 & 13 & 26 & philippe alliot & ligier-ford & 61 & + 3 laps & 22 & none \\
13 & 14 & 28 & gerhard berger & mclaren-honda & 60 & throttle & 3 & none \\
14 & ret & 2 & nigel mansell & ferrari & 55 & gearbox & 1 & none \\
15 & ret & 16 & ivan capelli & leyton house-judd & 48 & fuel leak & 10 & none \\
16 & ret & 12 & martin donnelly & lotus-lamborghini & 48 & engine & 14 & none \\
17 & ret & 11 & derek warwick & lotus-lamborghini & 46 & engine & 16 & none \\
18 & ret & 17 & gabriele tarquini & ags-ford & 41 & engine & 26 & none \\
19 & ret & 9 & michele alboreto & arrows-ford & 37 & engine & 25 & none \\
20 & ret & 6 & riccardo patrese & williams-renault & 26 & chassis & 7 & none \\
21 & ret & 3 & satoru nakajima & tyrrell-ford & 20 & electrical & 12 & none \\
22 & ret & 19 & alessandro nannini & benetton-ford & 15 & collision & 13 & none \\
23 & ret & 22 & andrea de cesaris & dallara-ford & 12 & fuel system & 23 & none \\
24 & ret & 23 & pierluigi martini & minardi-ford & 3 & alternator & 18 & none \\
25 & dns & 15 & mauricio gugelmin & leyton house-judd & 0 & fuel pump & 15 & none \\
26 & dnq & 14 & olivier grouillard & osella-ford & none & none & none & none \\
27 & dnq & 7 & david brabham & brabham-judd & none & none & none & none \\
28 & dnq & 36 & jj lehto & onyx-ford & none & none & none & none \\
29 & dnq & 35 & gregor foitek & onyx-ford & none & none & none & none \\
30 & dnpq & 33 & roberto moreno & eurobrun-judd & none & none & none & none \\
31 & dnpq & 18 & yannick dalmas & ags-ford & none & none & none & none \\
32 & dnpq & 34 & claudio langes & eurobrun-judd & none & none & none & none \\
33 & dnpq & 31 & bertrand gachot & coloni-subaru & none & none & none & none \\
34 & dnpq & 39 & bruno giacomelli & life & none & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 5 \\
\bottomrule
\end{tabular}
| select count ( * ) where pos = 'dnpq' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos</th>
<th>no</th>
<th>driver</th>
<th>constructor</th>
<th>laps</th>
<th>time/retired</th>
<th>grid</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>1</td>
<td>alain prost</td>
<td>ferrari</td>
<td>64</td>
<td>1:18:30.999</td>
<td>5</td>
<td>9</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>5</td>
<td>thierry boutsen</td>
<td>williams-renault</td>
<td>64</td>
<td>+ 39.092</td>
<td>4</td>
<td>6</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>27</td>
<td>ayrton senna</td>
<td>mclaren-honda</td>
<td>64</td>
<td>+ 43.088</td>
<td>2</td>
<td>4</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>29</td>
<td>eric bernard</td>
<td>lola-lamborghini</td>
<td>64</td>
<td>+ 1:15.302</td>
<td>8</td>
<td>3</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>20</td>
<td>nelson piquet</td>
<td>benetton-ford</td>
<td>64</td>
<td>+ 1:24.003</td>
<td>11</td>
<td>2</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>30</td>
<td>aguri suzuki</td>
<td>lola-lamborghini</td>
<td>63</td>
<td>+ 1 lap</td>
<td>9</td>
<td>1</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>10</td>
<td>alex caffi</td>
<td>arrows-ford</td>
<td>63</td>
<td>+ 1 lap</td>
<td>17</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>4</td>
<td>jean alesi</td>
<td>tyrrell-ford</td>
<td>63</td>
<td>+ 1 lap</td>
<td>6</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>8</td>
<td>stefano modena</td>
<td>brabham-judd</td>
<td>62</td>
<td>+ 2 laps</td>
<td>20</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>25</td>
<td>nicola larini</td>
<td>ligier-ford</td>
<td>62</td>
<td>+ 2 laps</td>
<td>21</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>21</td>
<td>emanuele pirro</td>
<td>dallara-ford</td>
<td>62</td>
<td>+ 2 laps</td>
<td>19</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>24</td>
<td>paolo barilla</td>
<td>minardi-ford</td>
<td>62</td>
<td>+ 2 laps</td>
<td>24</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>26</td>
<td>philippe alliot</td>
<td>ligier-ford</td>
<td>61</td>
<td>+ 3 laps</td>
<td>22</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>28</td>
<td>gerhard berger</td>
<td>mclaren-honda</td>
<td>60</td>
<td>throttle</td>
<td>3</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>ret</td>
<td>2</td>
<td>nigel mansell</td>
<td>ferrari</td>
<td>55</td>
<td>gearbox</td>
<td>1</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>ret</td>
<td>16</td>
<td>ivan capelli</td>
<td>leyton house-judd</td>
<td>48</td>
<td>fuel leak</td>
<td>10</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>ret</td>
<td>12</td>
<td>martin donnelly</td>
<td>lotus-lamborghini</td>
<td>48</td>
<td>engine</td>
<td>14</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>ret</td>
<td>11</td>
<td>derek warwick</td>
<td>lotus-lamborghini</td>
<td>46</td>
<td>engine</td>
<td>16</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>ret</td>
<td>17</td>
<td>gabriele tarquini</td>
<td>ags-ford</td>
<td>41</td>
<td>engine</td>
<td>26</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>ret</td>
<td>9</td>
<td>michele alboreto</td>
<td>arrows-ford</td>
<td>37</td>
<td>engine</td>
<td>25</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>ret</td>
<td>6</td>
<td>riccardo patrese</td>
<td>williams-renault</td>
<td>26</td>
<td>chassis</td>
<td>7</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>ret</td>
<td>3</td>
<td>satoru nakajima</td>
<td>tyrrell-ford</td>
<td>20</td>
<td>electrical</td>
<td>12</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>ret</td>
<td>19</td>
<td>alessandro nannini</td>
<td>benetton-ford</td>
<td>15</td>
<td>collision</td>
<td>13</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>ret</td>
<td>22</td>
<td>andrea de cesaris</td>
<td>dallara-ford</td>
<td>12</td>
<td>fuel system</td>
<td>23</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>ret</td>
<td>23</td>
<td>pierluigi martini</td>
<td>minardi-ford</td>
<td>3</td>
<td>alternator</td>
<td>18</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>dns</td>
<td>15</td>
<td>mauricio gugelmin</td>
<td>leyton house-judd</td>
<td>0</td>
<td>fuel pump</td>
<td>15</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>dnq</td>
<td>14</td>
<td>olivier grouillard</td>
<td>osella-ford</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>dnq</td>
<td>7</td>
<td>david brabham</td>
<td>brabham-judd</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>dnq</td>
<td>36</td>
<td>jj lehto</td>
<td>onyx-ford</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>29</th>
<td>dnq</td>
<td>35</td>
<td>gregor foitek</td>
<td>onyx-ford</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>30</th>
<td>dnpq</td>
<td>33</td>
<td>roberto moreno</td>
<td>eurobrun-judd</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>31</th>
<td>dnpq</td>
<td>18</td>
<td>yannick dalmas</td>
<td>ags-ford</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>32</th>
<td>dnpq</td>
<td>34</td>
<td>claudio langes</td>
<td>eurobrun-judd</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>33</th>
<td>dnpq</td>
<td>31</td>
<td>bertrand gachot</td>
<td>coloni-subaru</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>34</th>
<td>dnpq</td>
<td>39</td>
<td>bruno giacomelli</td>
<td>life</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>5</td>
</tr>
</tbody>
</table> | select count ( * ) where pos = 'dnpq' <table_name> : table | | pos | no | driver | constructor | laps | time/retired | grid | points |
|---:|:------|-----:|:-------------------|:------------------|:-------|:---------------|:-------|:---------|
| 0 | 1 | 1 | alain prost | ferrari | 64 | 1:18:30.999 | 5 | 9 |
| 1 | 2 | 5 | thierry boutsen | williams-renault | 64 | + 39.092 | 4 | 6 |
| 2 | 3 | 27 | ayrton senna | mclaren-honda | 64 | + 43.088 | 2 | 4 |
| 3 | 4 | 29 | eric bernard | lola-lamborghini | 64 | + 1:15.302 | 8 | 3 |
| 4 | 5 | 20 | nelson piquet | benetton-ford | 64 | + 1:24.003 | 11 | 2 |
| 5 | 6 | 30 | aguri suzuki | lola-lamborghini | 63 | + 1 lap | 9 | 1 |
| 6 | 7 | 10 | alex caffi | arrows-ford | 63 | + 1 lap | 17 | none |
| 7 | 8 | 4 | jean alesi | tyrrell-ford | 63 | + 1 lap | 6 | none |
| 8 | 9 | 8 | stefano modena | brabham-judd | 62 | + 2 laps | 20 | none |
| 9 | 10 | 25 | nicola larini | ligier-ford | 62 | + 2 laps | 21 | none |
| 10 | 11 | 21 | emanuele pirro | dallara-ford | 62 | + 2 laps | 19 | none |
| 11 | 12 | 24 | paolo barilla | minardi-ford | 62 | + 2 laps | 24 | none |
| 12 | 13 | 26 | philippe alliot | ligier-ford | 61 | + 3 laps | 22 | none |
| 13 | 14 | 28 | gerhard berger | mclaren-honda | 60 | throttle | 3 | none |
| 14 | ret | 2 | nigel mansell | ferrari | 55 | gearbox | 1 | none |
| 15 | ret | 16 | ivan capelli | leyton house-judd | 48 | fuel leak | 10 | none |
| 16 | ret | 12 | martin donnelly | lotus-lamborghini | 48 | engine | 14 | none |
| 17 | ret | 11 | derek warwick | lotus-lamborghini | 46 | engine | 16 | none |
| 18 | ret | 17 | gabriele tarquini | ags-ford | 41 | engine | 26 | none |
| 19 | ret | 9 | michele alboreto | arrows-ford | 37 | engine | 25 | none |
| 20 | ret | 6 | riccardo patrese | williams-renault | 26 | chassis | 7 | none |
| 21 | ret | 3 | satoru nakajima | tyrrell-ford | 20 | electrical | 12 | none |
| 22 | ret | 19 | alessandro nannini | benetton-ford | 15 | collision | 13 | none |
| 23 | ret | 22 | andrea de cesaris | dallara-ford | 12 | fuel system | 23 | none |
| 24 | ret | 23 | pierluigi martini | minardi-ford | 3 | alternator | 18 | none |
| 25 | dns | 15 | mauricio gugelmin | leyton house-judd | 0 | fuel pump | 15 | none |
| 26 | dnq | 14 | olivier grouillard | osella-ford | none | none | none | none |
| 27 | dnq | 7 | david brabham | brabham-judd | none | none | none | none |
| 28 | dnq | 36 | jj lehto | onyx-ford | none | none | none | none |
| 29 | dnq | 35 | gregor foitek | onyx-ford | none | none | none | none |
| 30 | dnpq | 33 | roberto moreno | eurobrun-judd | none | none | none | none |
| 31 | dnpq | 18 | yannick dalmas | ags-ford | none | none | none | none |
| 32 | dnpq | 34 | claudio langes | eurobrun-judd | none | none | none | none |
| 33 | dnpq | 31 | bertrand gachot | coloni-subaru | none | none | none | none |
| 34 | dnpq | 39 | bruno giacomelli | life | none | none | none | none | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 5 | | [
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select date where tonnage = 5661 col : date | name of ship | nationality | tonnage | fate row 1 : 1940-06-05 00:00:00 | ss stancor | united kingdom | 798 | sunk at 58°48′n 08°45′w / 58.800°n 8.750°w row 2 : 1940-06-07 00:00:00 | ss frances massey | united kingdom | 4212 | sunk at 55°33′n 08°26′w / 55.550°n 8.433°w row 3 : 1940-06-07 00:00:00 | ss eros | united kingdom | 5888 | damaged at 55°33′n 08°26′w / 55.550°n 8.433°w row 4 : 1940-06-11 00:00:00 | ss violando n goulandris | greece | 2375 | sunk at 44°04′n 12°30′w / 44.067°n 12.500°w row 5 : 1940-06-19 00:00:00 | mv tudor | norway | 6607 | sunk at 45°10′n 11°50′w / 45.167°n 11.833°w row 6 : 1940-06-19 00:00:00 | ss baron loudoun | united kingdom | 3164 | sunk at 45°00′n 11°21′w / 45.000°n 11.350°w row 7 : 1940-06-19 00:00:00 | ss british monarch | united kingdom | 5661 | sunk at 45°00′n 11°21′w / 45.000°n 11.350°w row 8 : 1940-06-20 00:00:00 | mv moerdrecht | netherlands | 7493 | sunk at 43°34′n 14°20′w / 43.567°n 14.333°w row 9 : 1940-08-16 00:00:00 | ss hedrun | sweden | 2325 | sunk at 57°10′n 16°37′w / 57.167°n 16.617°w row 10 : 1940-08-19 00:00:00 | ss ville de gand | belgium | 7590 | sunk at 55°28′n 15°10′w / 55.467°n 15.167°w row 11 : 1940-08-24 00:00:00 | ss la brea | united kingdom | 6666 | sunk at 57°24′n 11°21′w / 57.400°n 11.350°w row 12 : 1940-08-25 00:00:00 | ss empire merlin | united kingdom | 5763 | sunk at 58°30′n 10°15′w / 58.500°n 10.250°w row 13 : 1940-08-25 00:00:00 | mv athelcrest | united kingdom | 6825 | sunk at 58°24′n 11°25′w / 58.400°n 11.417°w | col : date row 1 : 1940-06-19 00:00:00 | select date where tonnage = 5661 <table_name> : table \begin{tabular}{llllll}
\toprule
& date & name of ship & nationality & tonnage & fate \\
\midrule
0 & 1940-06-05 00:00:00 & ss stancor & united kingdom & 798 & sunk at 58°48′n 08°45′w / 58.800°n 8.750°w \\
1 & 1940-06-07 00:00:00 & ss frances massey & united kingdom & 4212 & sunk at 55°33′n 08°26′w / 55.550°n 8.433°w \\
2 & 1940-06-07 00:00:00 & ss eros & united kingdom & 5888 & damaged at 55°33′n 08°26′w / 55.550°n 8.433°w \\
3 & 1940-06-11 00:00:00 & ss violando n goulandris & greece & 2375 & sunk at 44°04′n 12°30′w / 44.067°n 12.500°w \\
4 & 1940-06-19 00:00:00 & mv tudor & norway & 6607 & sunk at 45°10′n 11°50′w / 45.167°n 11.833°w \\
5 & 1940-06-19 00:00:00 & ss baron loudoun & united kingdom & 3164 & sunk at 45°00′n 11°21′w / 45.000°n 11.350°w \\
6 & 1940-06-19 00:00:00 & ss british monarch & united kingdom & 5661 & sunk at 45°00′n 11°21′w / 45.000°n 11.350°w \\
7 & 1940-06-20 00:00:00 & mv moerdrecht & netherlands & 7493 & sunk at 43°34′n 14°20′w / 43.567°n 14.333°w \\
8 & 1940-08-16 00:00:00 & ss hedrun & sweden & 2325 & sunk at 57°10′n 16°37′w / 57.167°n 16.617°w \\
9 & 1940-08-19 00:00:00 & ss ville de gand & belgium & 7590 & sunk at 55°28′n 15°10′w / 55.467°n 15.167°w \\
10 & 1940-08-24 00:00:00 & ss la brea & united kingdom & 6666 & sunk at 57°24′n 11°21′w / 57.400°n 11.350°w \\
11 & 1940-08-25 00:00:00 & ss empire merlin & united kingdom & 5763 & sunk at 58°30′n 10°15′w / 58.500°n 10.250°w \\
12 & 1940-08-25 00:00:00 & mv athelcrest & united kingdom & 6825 & sunk at 58°24′n 11°25′w / 58.400°n 11.417°w \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& date \\
\midrule
0 & 1940-06-19 00:00:00 \\
\bottomrule
\end{tabular}
| select date where tonnage = 5661 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>name of ship</th>
<th>nationality</th>
<th>tonnage</th>
<th>fate</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1940-06-05 00:00:00</td>
<td>ss stancor</td>
<td>united kingdom</td>
<td>798</td>
<td>sunk at 58°48′n 08°45′w / 58.800°n 8.750°w</td>
</tr>
<tr>
<th>1</th>
<td>1940-06-07 00:00:00</td>
<td>ss frances massey</td>
<td>united kingdom</td>
<td>4212</td>
<td>sunk at 55°33′n 08°26′w / 55.550°n 8.433°w</td>
</tr>
<tr>
<th>2</th>
<td>1940-06-07 00:00:00</td>
<td>ss eros</td>
<td>united kingdom</td>
<td>5888</td>
<td>damaged at 55°33′n 08°26′w / 55.550°n 8.433°w</td>
</tr>
<tr>
<th>3</th>
<td>1940-06-11 00:00:00</td>
<td>ss violando n goulandris</td>
<td>greece</td>
<td>2375</td>
<td>sunk at 44°04′n 12°30′w / 44.067°n 12.500°w</td>
</tr>
<tr>
<th>4</th>
<td>1940-06-19 00:00:00</td>
<td>mv tudor</td>
<td>norway</td>
<td>6607</td>
<td>sunk at 45°10′n 11°50′w / 45.167°n 11.833°w</td>
</tr>
<tr>
<th>5</th>
<td>1940-06-19 00:00:00</td>
<td>ss baron loudoun</td>
<td>united kingdom</td>
<td>3164</td>
<td>sunk at 45°00′n 11°21′w / 45.000°n 11.350°w</td>
</tr>
<tr>
<th>6</th>
<td>1940-06-19 00:00:00</td>
<td>ss british monarch</td>
<td>united kingdom</td>
<td>5661</td>
<td>sunk at 45°00′n 11°21′w / 45.000°n 11.350°w</td>
</tr>
<tr>
<th>7</th>
<td>1940-06-20 00:00:00</td>
<td>mv moerdrecht</td>
<td>netherlands</td>
<td>7493</td>
<td>sunk at 43°34′n 14°20′w / 43.567°n 14.333°w</td>
</tr>
<tr>
<th>8</th>
<td>1940-08-16 00:00:00</td>
<td>ss hedrun</td>
<td>sweden</td>
<td>2325</td>
<td>sunk at 57°10′n 16°37′w / 57.167°n 16.617°w</td>
</tr>
<tr>
<th>9</th>
<td>1940-08-19 00:00:00</td>
<td>ss ville de gand</td>
<td>belgium</td>
<td>7590</td>
<td>sunk at 55°28′n 15°10′w / 55.467°n 15.167°w</td>
</tr>
<tr>
<th>10</th>
<td>1940-08-24 00:00:00</td>
<td>ss la brea</td>
<td>united kingdom</td>
<td>6666</td>
<td>sunk at 57°24′n 11°21′w / 57.400°n 11.350°w</td>
</tr>
<tr>
<th>11</th>
<td>1940-08-25 00:00:00</td>
<td>ss empire merlin</td>
<td>united kingdom</td>
<td>5763</td>
<td>sunk at 58°30′n 10°15′w / 58.500°n 10.250°w</td>
</tr>
<tr>
<th>12</th>
<td>1940-08-25 00:00:00</td>
<td>mv athelcrest</td>
<td>united kingdom</td>
<td>6825</td>
<td>sunk at 58°24′n 11°25′w / 58.400°n 11.417°w</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1940-06-19 00:00:00</td>
</tr>
</tbody>
</table> | select date where tonnage = 5661 <table_name> : table | | date | name of ship | nationality | tonnage | fate |
|---:|:--------------------|:-------------------------|:---------------|----------:|:----------------------------------------------|
| 0 | 1940-06-05 00:00:00 | ss stancor | united kingdom | 798 | sunk at 58°48′n 08°45′w / 58.800°n 8.750°w |
| 1 | 1940-06-07 00:00:00 | ss frances massey | united kingdom | 4212 | sunk at 55°33′n 08°26′w / 55.550°n 8.433°w |
| 2 | 1940-06-07 00:00:00 | ss eros | united kingdom | 5888 | damaged at 55°33′n 08°26′w / 55.550°n 8.433°w |
| 3 | 1940-06-11 00:00:00 | ss violando n goulandris | greece | 2375 | sunk at 44°04′n 12°30′w / 44.067°n 12.500°w |
| 4 | 1940-06-19 00:00:00 | mv tudor | norway | 6607 | sunk at 45°10′n 11°50′w / 45.167°n 11.833°w |
| 5 | 1940-06-19 00:00:00 | ss baron loudoun | united kingdom | 3164 | sunk at 45°00′n 11°21′w / 45.000°n 11.350°w |
| 6 | 1940-06-19 00:00:00 | ss british monarch | united kingdom | 5661 | sunk at 45°00′n 11°21′w / 45.000°n 11.350°w |
| 7 | 1940-06-20 00:00:00 | mv moerdrecht | netherlands | 7493 | sunk at 43°34′n 14°20′w / 43.567°n 14.333°w |
| 8 | 1940-08-16 00:00:00 | ss hedrun | sweden | 2325 | sunk at 57°10′n 16°37′w / 57.167°n 16.617°w |
| 9 | 1940-08-19 00:00:00 | ss ville de gand | belgium | 7590 | sunk at 55°28′n 15°10′w / 55.467°n 15.167°w |
| 10 | 1940-08-24 00:00:00 | ss la brea | united kingdom | 6666 | sunk at 57°24′n 11°21′w / 57.400°n 11.350°w |
| 11 | 1940-08-25 00:00:00 | ss empire merlin | united kingdom | 5763 | sunk at 58°30′n 10°15′w / 58.500°n 10.250°w |
| 12 | 1940-08-25 00:00:00 | mv athelcrest | united kingdom | 6825 | sunk at 58°24′n 11°25′w / 58.400°n 11.417°w | | | | date |
|---:|:--------------------|
| 0 | 1940-06-19 00:00:00 | | [
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] |
select count ( loser ) where yacht = 'us-40' col : date | winner | yacht -1 | loser | yacht -2 | score | delta row 1 : 1983-09-14 00:00:00 | liberty | us-40 | australia ii | ka-6 | 1-0 | 1:10 row 2 : 1983-09-15 00:00:00 | liberty | us-40 | australia ii | ka-6 | 2-0 | 1:33 row 3 : 1983-09-18 00:00:00 | australia ii | ka-6 | liberty | us-40 | 1-2 | 3:14 row 4 : 1983-09-20 00:00:00 | liberty | us-40 | australia ii | ka-6 | 3-1 | 0:43 row 5 : 1983-09-21 00:00:00 | australia ii | ka-6 | liberty | us-40 | 2-3 | 1:47 row 6 : 1983-09-22 00:00:00 | australia ii | ka-6 | liberty | us-40 | 3-3 | 3:25 row 7 : 1983-09-26 00:00:00 | australia ii | ka-6 | liberty | us-40 | 4-3 | 0:41 | col : count ( "loser" ) row 1 : 4 | select count ( loser ) where yacht = 'us-40' <table_name> : table \begin{tabular}{llllllll}
\toprule
& date & winner & yacht -1 & loser & yacht -2 & score & delta \\
\midrule
0 & 1983-09-14 00:00:00 & liberty & us-40 & australia ii & ka-6 & 1-0 & 1:10 \\
1 & 1983-09-15 00:00:00 & liberty & us-40 & australia ii & ka-6 & 2-0 & 1:33 \\
2 & 1983-09-18 00:00:00 & australia ii & ka-6 & liberty & us-40 & 1-2 & 3:14 \\
3 & 1983-09-20 00:00:00 & liberty & us-40 & australia ii & ka-6 & 3-1 & 0:43 \\
4 & 1983-09-21 00:00:00 & australia ii & ka-6 & liberty & us-40 & 2-3 & 1:47 \\
5 & 1983-09-22 00:00:00 & australia ii & ka-6 & liberty & us-40 & 3-3 & 3:25 \\
6 & 1983-09-26 00:00:00 & australia ii & ka-6 & liberty & us-40 & 4-3 & 0:41 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "loser" ) \\
\midrule
0 & 4 \\
\bottomrule
\end{tabular}
| select count ( loser ) where yacht = 'us-40' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>winner</th>
<th>yacht -1</th>
<th>loser</th>
<th>yacht -2</th>
<th>score</th>
<th>delta</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1983-09-14 00:00:00</td>
<td>liberty</td>
<td>us-40</td>
<td>australia ii</td>
<td>ka-6</td>
<td>1-0</td>
<td>1:10</td>
</tr>
<tr>
<th>1</th>
<td>1983-09-15 00:00:00</td>
<td>liberty</td>
<td>us-40</td>
<td>australia ii</td>
<td>ka-6</td>
<td>2-0</td>
<td>1:33</td>
</tr>
<tr>
<th>2</th>
<td>1983-09-18 00:00:00</td>
<td>australia ii</td>
<td>ka-6</td>
<td>liberty</td>
<td>us-40</td>
<td>1-2</td>
<td>3:14</td>
</tr>
<tr>
<th>3</th>
<td>1983-09-20 00:00:00</td>
<td>liberty</td>
<td>us-40</td>
<td>australia ii</td>
<td>ka-6</td>
<td>3-1</td>
<td>0:43</td>
</tr>
<tr>
<th>4</th>
<td>1983-09-21 00:00:00</td>
<td>australia ii</td>
<td>ka-6</td>
<td>liberty</td>
<td>us-40</td>
<td>2-3</td>
<td>1:47</td>
</tr>
<tr>
<th>5</th>
<td>1983-09-22 00:00:00</td>
<td>australia ii</td>
<td>ka-6</td>
<td>liberty</td>
<td>us-40</td>
<td>3-3</td>
<td>3:25</td>
</tr>
<tr>
<th>6</th>
<td>1983-09-26 00:00:00</td>
<td>australia ii</td>
<td>ka-6</td>
<td>liberty</td>
<td>us-40</td>
<td>4-3</td>
<td>0:41</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "loser" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>4</td>
</tr>
</tbody>
</table> | select count ( loser ) where yacht = 'us-40' <table_name> : table | | date | winner | yacht -1 | loser | yacht -2 | score | delta |
|---:|:--------------------|:-------------|:-----------|:-------------|:-----------|:--------|:--------|
| 0 | 1983-09-14 00:00:00 | liberty | us-40 | australia ii | ka-6 | 1-0 | 1:10 |
| 1 | 1983-09-15 00:00:00 | liberty | us-40 | australia ii | ka-6 | 2-0 | 1:33 |
| 2 | 1983-09-18 00:00:00 | australia ii | ka-6 | liberty | us-40 | 1-2 | 3:14 |
| 3 | 1983-09-20 00:00:00 | liberty | us-40 | australia ii | ka-6 | 3-1 | 0:43 |
| 4 | 1983-09-21 00:00:00 | australia ii | ka-6 | liberty | us-40 | 2-3 | 1:47 |
| 5 | 1983-09-22 00:00:00 | australia ii | ka-6 | liberty | us-40 | 3-3 | 3:25 |
| 6 | 1983-09-26 00:00:00 | australia ii | ka-6 | liberty | us-40 | 4-3 | 0:41 | | | | count ( "loser" ) |
|---:|--------------------:|
| 0 | 4 | | [
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select money ($) where place = 't10' col : place | player | country | score | to par | money ($) row 1 : t1 | larry nelson | united states | 70-72-73-72=287 | -1 | playoff row 2 : t1 | lanny wadkins | united states | 70-70-74-73=287 | -1 | playoff row 3 : t3 | scott hoch | united states | 74-74-71-69=288 | e | 58750 row 4 : t3 | d. a. weibring | united states | 73-72-67-76=288 | e | 58750 row 5 : t5 | mark mccumber | united states | 74-69-69-77=289 | 1 | 37500 row 6 : t5 | don pooley | united states | 73-71-73-72=289 | 1 | 37500 row 7 : t7 | ben crenshaw | united states | 72-70-74-74=290 | 2 | 27500 row 8 : t7 | bobby wadkins | united states | 68-74-71-77=290 | 2 | 27500 row 9 : 9 | curtis strange | united states | 70-76-71-74=291 | 3 | 22500 row 10 : t10 | seve ballesteros | spain | 72-70-72-78=292 | 4 | 17000 row 11 : t10 | david frost | south africa | 75-70-71-76=292 | 4 | 17000 row 12 : t10 | tom kite | united states | 72-77-71-72=292 | 4 | 17000 row 13 : t10 | nick price | zimbabwe | 76-71-70-75=292 | 4 | 17000 | col : money ($) row 1 : 17000 row 2 : 17000 row 3 : 17000 row 4 : 17000 | select money ($) where place = 't10' <table_name> : table \begin{tabular}{lllllll}
\toprule
& place & player & country & score & to par & money ($) \\
\midrule
0 & t1 & larry nelson & united states & 70-72-73-72=287 & -1 & playoff \\
1 & t1 & lanny wadkins & united states & 70-70-74-73=287 & -1 & playoff \\
2 & t3 & scott hoch & united states & 74-74-71-69=288 & e & 58750 \\
3 & t3 & d. a. weibring & united states & 73-72-67-76=288 & e & 58750 \\
4 & t5 & mark mccumber & united states & 74-69-69-77=289 & 1 & 37500 \\
5 & t5 & don pooley & united states & 73-71-73-72=289 & 1 & 37500 \\
6 & t7 & ben crenshaw & united states & 72-70-74-74=290 & 2 & 27500 \\
7 & t7 & bobby wadkins & united states & 68-74-71-77=290 & 2 & 27500 \\
8 & 9 & curtis strange & united states & 70-76-71-74=291 & 3 & 22500 \\
9 & t10 & seve ballesteros & spain & 72-70-72-78=292 & 4 & 17000 \\
10 & t10 & david frost & south africa & 75-70-71-76=292 & 4 & 17000 \\
11 & t10 & tom kite & united states & 72-77-71-72=292 & 4 & 17000 \\
12 & t10 & nick price & zimbabwe & 76-71-70-75=292 & 4 & 17000 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& money ($) \\
\midrule
0 & 17000 \\
1 & 17000 \\
2 & 17000 \\
3 & 17000 \\
\bottomrule
\end{tabular}
| select money ($) where place = 't10' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>place</th>
<th>player</th>
<th>country</th>
<th>score</th>
<th>to par</th>
<th>money ($)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>t1</td>
<td>larry nelson</td>
<td>united states</td>
<td>70-72-73-72=287</td>
<td>-1</td>
<td>playoff</td>
</tr>
<tr>
<th>1</th>
<td>t1</td>
<td>lanny wadkins</td>
<td>united states</td>
<td>70-70-74-73=287</td>
<td>-1</td>
<td>playoff</td>
</tr>
<tr>
<th>2</th>
<td>t3</td>
<td>scott hoch</td>
<td>united states</td>
<td>74-74-71-69=288</td>
<td>e</td>
<td>58750</td>
</tr>
<tr>
<th>3</th>
<td>t3</td>
<td>d. a. weibring</td>
<td>united states</td>
<td>73-72-67-76=288</td>
<td>e</td>
<td>58750</td>
</tr>
<tr>
<th>4</th>
<td>t5</td>
<td>mark mccumber</td>
<td>united states</td>
<td>74-69-69-77=289</td>
<td>1</td>
<td>37500</td>
</tr>
<tr>
<th>5</th>
<td>t5</td>
<td>don pooley</td>
<td>united states</td>
<td>73-71-73-72=289</td>
<td>1</td>
<td>37500</td>
</tr>
<tr>
<th>6</th>
<td>t7</td>
<td>ben crenshaw</td>
<td>united states</td>
<td>72-70-74-74=290</td>
<td>2</td>
<td>27500</td>
</tr>
<tr>
<th>7</th>
<td>t7</td>
<td>bobby wadkins</td>
<td>united states</td>
<td>68-74-71-77=290</td>
<td>2</td>
<td>27500</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>curtis strange</td>
<td>united states</td>
<td>70-76-71-74=291</td>
<td>3</td>
<td>22500</td>
</tr>
<tr>
<th>9</th>
<td>t10</td>
<td>seve ballesteros</td>
<td>spain</td>
<td>72-70-72-78=292</td>
<td>4</td>
<td>17000</td>
</tr>
<tr>
<th>10</th>
<td>t10</td>
<td>david frost</td>
<td>south africa</td>
<td>75-70-71-76=292</td>
<td>4</td>
<td>17000</td>
</tr>
<tr>
<th>11</th>
<td>t10</td>
<td>tom kite</td>
<td>united states</td>
<td>72-77-71-72=292</td>
<td>4</td>
<td>17000</td>
</tr>
<tr>
<th>12</th>
<td>t10</td>
<td>nick price</td>
<td>zimbabwe</td>
<td>76-71-70-75=292</td>
<td>4</td>
<td>17000</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>money ($)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>17000</td>
</tr>
<tr>
<th>1</th>
<td>17000</td>
</tr>
<tr>
<th>2</th>
<td>17000</td>
</tr>
<tr>
<th>3</th>
<td>17000</td>
</tr>
</tbody>
</table> | select money ($) where place = 't10' <table_name> : table | | place | player | country | score | to par | money ($) |
|---:|:--------|:-----------------|:--------------|:----------------|:---------|:------------|
| 0 | t1 | larry nelson | united states | 70-72-73-72=287 | -1 | playoff |
| 1 | t1 | lanny wadkins | united states | 70-70-74-73=287 | -1 | playoff |
| 2 | t3 | scott hoch | united states | 74-74-71-69=288 | e | 58750 |
| 3 | t3 | d. a. weibring | united states | 73-72-67-76=288 | e | 58750 |
| 4 | t5 | mark mccumber | united states | 74-69-69-77=289 | 1 | 37500 |
| 5 | t5 | don pooley | united states | 73-71-73-72=289 | 1 | 37500 |
| 6 | t7 | ben crenshaw | united states | 72-70-74-74=290 | 2 | 27500 |
| 7 | t7 | bobby wadkins | united states | 68-74-71-77=290 | 2 | 27500 |
| 8 | 9 | curtis strange | united states | 70-76-71-74=291 | 3 | 22500 |
| 9 | t10 | seve ballesteros | spain | 72-70-72-78=292 | 4 | 17000 |
| 10 | t10 | david frost | south africa | 75-70-71-76=292 | 4 | 17000 |
| 11 | t10 | tom kite | united states | 72-77-71-72=292 | 4 | 17000 |
| 12 | t10 | nick price | zimbabwe | 76-71-70-75=292 | 4 | 17000 | | | | money ($) |
|---:|------------:|
| 0 | 17000 |
| 1 | 17000 |
| 2 | 17000 |
| 3 | 17000 | | [
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select count ( location ) where loser = 'philadelphia eagles' col : year | date | winner | result | loser | location row 1 : 2000 | september 10 | new york giants | 33-18 | philadelphia eagles | veterans stadium row 2 : 2000 | october 29 | new york giants | 24-7 | philadelphia eagles | giants stadium row 3 : 2001 | january 7 | new york giants | 20-10 | philadelphia eagles | giants stadium row 4 : 2001 | october 22 | philadelphia eagles | 10-9 | new york giants | giants stadium row 5 : 2001 | december 30 | philadelphia eagles | 24-21 | new york giants | veterans stadium row 6 : 2002 | october 28 | philadelphia eagles | 17-3 | new york giants | veterans stadium row 7 : 2002 | december 28 | new york giants | 10-7 | philadelphia eagles | giants stadium row 8 : 2003 | october 19 | philadelphia eagles | 14-10 | new york giants | giants stadium row 9 : 2003 | november 16 | philadelphia eagles | 28-10 | new york giants | lincoln financial field row 10 : 2004 | september 12 | philadelphia eagles | 31-17 | new york giants | lincoln financial field row 11 : 2004 | november 28 | philadelphia eagles | 27-6 | new york giants | giants stadium row 12 : 2005 | november 20 | new york giants | 27-17 | philadelphia eagles | giants stadium row 13 : 2005 | december 11 | new york giants | 26-23 (ot) | philadelphia eagles | lincoln financial field row 14 : 2006 | september 17 | new york giants | 30-24 (ot) | philadelphia eagles | lincoln financial field row 15 : 2006 | december 17 | philadelphia eagles | 36-22 | new york giants | giants stadium row 16 : 2007 | january 7 | philadelphia eagles | 23-20 | new york giants | lincoln financial field row 17 : 2007 | september 30 | new york giants | 16-3 | philadelphia eagles | giants stadium row 18 : 2007 | december 9 | new york giants | 16-13 | philadelphia eagles | lincoln financial field row 19 : 2008 | november 9 | new york giants | 36-31 | philadelphia eagles | lincoln financial field row 20 : 2008 | december 7 | philadelphia eagles | 20-14 | new york giants | giants stadium row 21 : 2009 | january 11 | philadelphia eagles | 23-11 | new york giants | giants stadium row 22 : 2009 | november 1 | philadelphia eagles | 40-17 | new york giants | lincoln financial field row 23 : 2009 | december 13 | philadelphia eagles | 45-38 | new york giants | giants stadium | col : count ( "location" ) row 1 : 10 | select count ( location ) where loser = 'philadelphia eagles' <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & date & winner & result & loser & location \\
\midrule
0 & 2000 & september 10 & new york giants & 33-18 & philadelphia eagles & veterans stadium \\
1 & 2000 & october 29 & new york giants & 24-7 & philadelphia eagles & giants stadium \\
2 & 2001 & january 7 & new york giants & 20-10 & philadelphia eagles & giants stadium \\
3 & 2001 & october 22 & philadelphia eagles & 10-9 & new york giants & giants stadium \\
4 & 2001 & december 30 & philadelphia eagles & 24-21 & new york giants & veterans stadium \\
5 & 2002 & october 28 & philadelphia eagles & 17-3 & new york giants & veterans stadium \\
6 & 2002 & december 28 & new york giants & 10-7 & philadelphia eagles & giants stadium \\
7 & 2003 & october 19 & philadelphia eagles & 14-10 & new york giants & giants stadium \\
8 & 2003 & november 16 & philadelphia eagles & 28-10 & new york giants & lincoln financial field \\
9 & 2004 & september 12 & philadelphia eagles & 31-17 & new york giants & lincoln financial field \\
10 & 2004 & november 28 & philadelphia eagles & 27-6 & new york giants & giants stadium \\
11 & 2005 & november 20 & new york giants & 27-17 & philadelphia eagles & giants stadium \\
12 & 2005 & december 11 & new york giants & 26-23 (ot) & philadelphia eagles & lincoln financial field \\
13 & 2006 & september 17 & new york giants & 30-24 (ot) & philadelphia eagles & lincoln financial field \\
14 & 2006 & december 17 & philadelphia eagles & 36-22 & new york giants & giants stadium \\
15 & 2007 & january 7 & philadelphia eagles & 23-20 & new york giants & lincoln financial field \\
16 & 2007 & september 30 & new york giants & 16-3 & philadelphia eagles & giants stadium \\
17 & 2007 & december 9 & new york giants & 16-13 & philadelphia eagles & lincoln financial field \\
18 & 2008 & november 9 & new york giants & 36-31 & philadelphia eagles & lincoln financial field \\
19 & 2008 & december 7 & philadelphia eagles & 20-14 & new york giants & giants stadium \\
20 & 2009 & january 11 & philadelphia eagles & 23-11 & new york giants & giants stadium \\
21 & 2009 & november 1 & philadelphia eagles & 40-17 & new york giants & lincoln financial field \\
22 & 2009 & december 13 & philadelphia eagles & 45-38 & new york giants & giants stadium \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "location" ) \\
\midrule
0 & 10 \\
\bottomrule
\end{tabular}
| select count ( location ) where loser = 'philadelphia eagles' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>date</th>
<th>winner</th>
<th>result</th>
<th>loser</th>
<th>location</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2000</td>
<td>september 10</td>
<td>new york giants</td>
<td>33-18</td>
<td>philadelphia eagles</td>
<td>veterans stadium</td>
</tr>
<tr>
<th>1</th>
<td>2000</td>
<td>october 29</td>
<td>new york giants</td>
<td>24-7</td>
<td>philadelphia eagles</td>
<td>giants stadium</td>
</tr>
<tr>
<th>2</th>
<td>2001</td>
<td>january 7</td>
<td>new york giants</td>
<td>20-10</td>
<td>philadelphia eagles</td>
<td>giants stadium</td>
</tr>
<tr>
<th>3</th>
<td>2001</td>
<td>october 22</td>
<td>philadelphia eagles</td>
<td>10-9</td>
<td>new york giants</td>
<td>giants stadium</td>
</tr>
<tr>
<th>4</th>
<td>2001</td>
<td>december 30</td>
<td>philadelphia eagles</td>
<td>24-21</td>
<td>new york giants</td>
<td>veterans stadium</td>
</tr>
<tr>
<th>5</th>
<td>2002</td>
<td>october 28</td>
<td>philadelphia eagles</td>
<td>17-3</td>
<td>new york giants</td>
<td>veterans stadium</td>
</tr>
<tr>
<th>6</th>
<td>2002</td>
<td>december 28</td>
<td>new york giants</td>
<td>10-7</td>
<td>philadelphia eagles</td>
<td>giants stadium</td>
</tr>
<tr>
<th>7</th>
<td>2003</td>
<td>october 19</td>
<td>philadelphia eagles</td>
<td>14-10</td>
<td>new york giants</td>
<td>giants stadium</td>
</tr>
<tr>
<th>8</th>
<td>2003</td>
<td>november 16</td>
<td>philadelphia eagles</td>
<td>28-10</td>
<td>new york giants</td>
<td>lincoln financial field</td>
</tr>
<tr>
<th>9</th>
<td>2004</td>
<td>september 12</td>
<td>philadelphia eagles</td>
<td>31-17</td>
<td>new york giants</td>
<td>lincoln financial field</td>
</tr>
<tr>
<th>10</th>
<td>2004</td>
<td>november 28</td>
<td>philadelphia eagles</td>
<td>27-6</td>
<td>new york giants</td>
<td>giants stadium</td>
</tr>
<tr>
<th>11</th>
<td>2005</td>
<td>november 20</td>
<td>new york giants</td>
<td>27-17</td>
<td>philadelphia eagles</td>
<td>giants stadium</td>
</tr>
<tr>
<th>12</th>
<td>2005</td>
<td>december 11</td>
<td>new york giants</td>
<td>26-23 (ot)</td>
<td>philadelphia eagles</td>
<td>lincoln financial field</td>
</tr>
<tr>
<th>13</th>
<td>2006</td>
<td>september 17</td>
<td>new york giants</td>
<td>30-24 (ot)</td>
<td>philadelphia eagles</td>
<td>lincoln financial field</td>
</tr>
<tr>
<th>14</th>
<td>2006</td>
<td>december 17</td>
<td>philadelphia eagles</td>
<td>36-22</td>
<td>new york giants</td>
<td>giants stadium</td>
</tr>
<tr>
<th>15</th>
<td>2007</td>
<td>january 7</td>
<td>philadelphia eagles</td>
<td>23-20</td>
<td>new york giants</td>
<td>lincoln financial field</td>
</tr>
<tr>
<th>16</th>
<td>2007</td>
<td>september 30</td>
<td>new york giants</td>
<td>16-3</td>
<td>philadelphia eagles</td>
<td>giants stadium</td>
</tr>
<tr>
<th>17</th>
<td>2007</td>
<td>december 9</td>
<td>new york giants</td>
<td>16-13</td>
<td>philadelphia eagles</td>
<td>lincoln financial field</td>
</tr>
<tr>
<th>18</th>
<td>2008</td>
<td>november 9</td>
<td>new york giants</td>
<td>36-31</td>
<td>philadelphia eagles</td>
<td>lincoln financial field</td>
</tr>
<tr>
<th>19</th>
<td>2008</td>
<td>december 7</td>
<td>philadelphia eagles</td>
<td>20-14</td>
<td>new york giants</td>
<td>giants stadium</td>
</tr>
<tr>
<th>20</th>
<td>2009</td>
<td>january 11</td>
<td>philadelphia eagles</td>
<td>23-11</td>
<td>new york giants</td>
<td>giants stadium</td>
</tr>
<tr>
<th>21</th>
<td>2009</td>
<td>november 1</td>
<td>philadelphia eagles</td>
<td>40-17</td>
<td>new york giants</td>
<td>lincoln financial field</td>
</tr>
<tr>
<th>22</th>
<td>2009</td>
<td>december 13</td>
<td>philadelphia eagles</td>
<td>45-38</td>
<td>new york giants</td>
<td>giants stadium</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "location" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>10</td>
</tr>
</tbody>
</table> | select count ( location ) where loser = 'philadelphia eagles' <table_name> : table | | year | date | winner | result | loser | location |
|---:|-------:|:-------------|:--------------------|:-----------|:--------------------|:------------------------|
| 0 | 2000 | september 10 | new york giants | 33-18 | philadelphia eagles | veterans stadium |
| 1 | 2000 | october 29 | new york giants | 24-7 | philadelphia eagles | giants stadium |
| 2 | 2001 | january 7 | new york giants | 20-10 | philadelphia eagles | giants stadium |
| 3 | 2001 | october 22 | philadelphia eagles | 10-9 | new york giants | giants stadium |
| 4 | 2001 | december 30 | philadelphia eagles | 24-21 | new york giants | veterans stadium |
| 5 | 2002 | october 28 | philadelphia eagles | 17-3 | new york giants | veterans stadium |
| 6 | 2002 | december 28 | new york giants | 10-7 | philadelphia eagles | giants stadium |
| 7 | 2003 | october 19 | philadelphia eagles | 14-10 | new york giants | giants stadium |
| 8 | 2003 | november 16 | philadelphia eagles | 28-10 | new york giants | lincoln financial field |
| 9 | 2004 | september 12 | philadelphia eagles | 31-17 | new york giants | lincoln financial field |
| 10 | 2004 | november 28 | philadelphia eagles | 27-6 | new york giants | giants stadium |
| 11 | 2005 | november 20 | new york giants | 27-17 | philadelphia eagles | giants stadium |
| 12 | 2005 | december 11 | new york giants | 26-23 (ot) | philadelphia eagles | lincoln financial field |
| 13 | 2006 | september 17 | new york giants | 30-24 (ot) | philadelphia eagles | lincoln financial field |
| 14 | 2006 | december 17 | philadelphia eagles | 36-22 | new york giants | giants stadium |
| 15 | 2007 | january 7 | philadelphia eagles | 23-20 | new york giants | lincoln financial field |
| 16 | 2007 | september 30 | new york giants | 16-3 | philadelphia eagles | giants stadium |
| 17 | 2007 | december 9 | new york giants | 16-13 | philadelphia eagles | lincoln financial field |
| 18 | 2008 | november 9 | new york giants | 36-31 | philadelphia eagles | lincoln financial field |
| 19 | 2008 | december 7 | philadelphia eagles | 20-14 | new york giants | giants stadium |
| 20 | 2009 | january 11 | philadelphia eagles | 23-11 | new york giants | giants stadium |
| 21 | 2009 | november 1 | philadelphia eagles | 40-17 | new york giants | lincoln financial field |
| 22 | 2009 | december 13 | philadelphia eagles | 45-38 | new york giants | giants stadium | | | | count ( "location" ) |
|---:|-----------------------:|
| 0 | 10 | | [
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select count ( * ) where ch.wins < 1922 col : seasons | team | ch.wins | promotions | relegations row 1 : 10 | basket rimini crabs | 0 | 0 | 0 row 2 : 10 | aurora basket jesi | 0 | 1 | 1 row 3 : 10 | andrea costa imola | 0 | 0 | 3 row 4 : 9 | nuova pallacanestro pavia | 0 | 0 | 0 row 5 : 9 | scafati basket | 1 | 1 | 0 row 6 : 8 | basket club ferrara | 1 | 1 | 0 row 7 : 8 | pallac. reggiana reggio emilia | 2 | 2 | 0 row 8 : 7 | novara | 0 | 0 | 3 row 9 : 7 | dinamo basket sassari | 0 | 1 | 0 row 10 : 6 | a.s. junior pallacanestro casale | 1 | 1 | 1 row 11 : 5 | rb montecatini terme | 0 | 0 | 1 row 12 : 5 | fabriano basket | 0 | 0 | 1 row 13 : 5 | societa veroli basket | 0 | 0 | 0 row 14 : 5 | pistoia basket 2000 | 0 | 0 | 0 row 15 : 4 | juve caserta basket | 0 | 1 | 0 row 16 : 3 | gruppo triboldi basket soresina | 0 | 1 | 0 row 17 : 3 | nuova sebastiani rieti | 1 | 1 | 0 row 18 : 3 | progresso castelmaggiore | 0 | 0 | 0 row 19 : 3 | orlandina basket | 1 | 1 | 1 row 20 : 3 | sutor basket montegranaro | 0 | 1 | 1 row 21 : 3 | virtus ragusa | 0 | 0 | 1 row 22 : 3 | robur basket osimo | 0 | 0 | 1 row 23 : 3 | reyer venezia | 0 | 1 | 0 row 24 : 3 | new basket brindisi | 1 | 2 | 0 row 25 : 2 | pallacanestro messina | 0 | 1 | 0 row 26 : 2 | basket trapani | 0 | 0 | 1 row 27 : 2 | basket draghi castelletto ticino | 0 | 0 | 0 row 28 : 2 | basket livorno | 0 | 0 | 0 row 29 : 2 | pallalcesto amatori udine | 0 | 0 | 0 row 30 : 2 | unione cestistica casalpusterlengo | 0 | 0 | 0 row 31 : 2 | basket barcellona | 0 | 0 | 0 row 32 : 2 | fulgor libertas forli | 0 | 0 | 1 row 33 : 2 | scaligera basket verona | 0 | 0 | 1 row 34 : 1 | societa sportiva basket napoli | 1 | 1 | 0 row 35 : 1 | centro sportivo borgomanero | 0 | 0 | 0 row 36 : 1 | celana basket bergamo | 0 | 0 | 1 row 37 : 1 | teramo basket | 1 | 1 | 0 row 38 : 1 | virtus pallacanestro bologna | 0 | 1 | 0 row 39 : 1 | viola reggio calabria | 0 | 0 | 0 row 40 : 1 | victoria libertas pesaro | 0 | 1 | 0 row 41 : 1 | pallacanestro varese | 1 | 1 | 0 row 42 : 1 | pallacanestro roseto | 0 | 0 | 1 row 43 : 1 | nuova pallacanestro vigevano | 0 | 0 | 0 row 44 : 1 | cestistica san severo | 0 | 0 | 1 row 45 : 1 | basket brescia leonessa | 0 | 0 | 0 row 46 : 1 | unione cestistica piacentina piacenza | 0 | 0 | 0 row 47 : 1 | pallacanestro sant'antimo | 0 | 0 | 0 row 48 : 1 | ostuni basket | 0 | 0 | 0 row 49 : 1 | biancoblu basket bologna | 0 | 0 | 0 | col : count ( "*" ) row 1 : 48 | select count ( * ) where ch.wins < 1922 <table_name> : table \begin{tabular}{llllll}
\toprule
& seasons & team & ch.wins & promotions & relegations \\
\midrule
0 & 10 & basket rimini crabs & 0 & 0 & 0 \\
1 & 10 & aurora basket jesi & 0 & 1 & 1 \\
2 & 10 & andrea costa imola & 0 & 0 & 3 \\
3 & 9 & nuova pallacanestro pavia & 0 & 0 & 0 \\
4 & 9 & scafati basket & 1 & 1 & 0 \\
5 & 8 & basket club ferrara & 1 & 1 & 0 \\
6 & 8 & pallac. reggiana reggio emilia & 2 & 2 & 0 \\
7 & 7 & novara & 0 & 0 & 3 \\
8 & 7 & dinamo basket sassari & 0 & 1 & 0 \\
9 & 6 & a.s. junior pallacanestro casale & 1 & 1 & 1 \\
10 & 5 & rb montecatini terme & 0 & 0 & 1 \\
11 & 5 & fabriano basket & 0 & 0 & 1 \\
12 & 5 & societa veroli basket & 0 & 0 & 0 \\
13 & 5 & pistoia basket 2000 & 0 & 0 & 0 \\
14 & 4 & juve caserta basket & 0 & 1 & 0 \\
15 & 3 & gruppo triboldi basket soresina & 0 & 1 & 0 \\
16 & 3 & nuova sebastiani rieti & 1 & 1 & 0 \\
17 & 3 & progresso castelmaggiore & 0 & 0 & 0 \\
18 & 3 & orlandina basket & 1 & 1 & 1 \\
19 & 3 & sutor basket montegranaro & 0 & 1 & 1 \\
20 & 3 & virtus ragusa & 0 & 0 & 1 \\
21 & 3 & robur basket osimo & 0 & 0 & 1 \\
22 & 3 & reyer venezia & 0 & 1 & 0 \\
23 & 3 & new basket brindisi & 1 & 2 & 0 \\
24 & 2 & pallacanestro messina & 0 & 1 & 0 \\
25 & 2 & basket trapani & 0 & 0 & 1 \\
26 & 2 & basket draghi castelletto ticino & 0 & 0 & 0 \\
27 & 2 & basket livorno & 0 & 0 & 0 \\
28 & 2 & pallalcesto amatori udine & 0 & 0 & 0 \\
29 & 2 & unione cestistica casalpusterlengo & 0 & 0 & 0 \\
30 & 2 & basket barcellona & 0 & 0 & 0 \\
31 & 2 & fulgor libertas forli & 0 & 0 & 1 \\
32 & 2 & scaligera basket verona & 0 & 0 & 1 \\
33 & 1 & societa sportiva basket napoli & 1 & 1 & 0 \\
34 & 1 & centro sportivo borgomanero & 0 & 0 & 0 \\
35 & 1 & celana basket bergamo & 0 & 0 & 1 \\
36 & 1 & teramo basket & 1 & 1 & 0 \\
37 & 1 & virtus pallacanestro bologna & 0 & 1 & 0 \\
38 & 1 & viola reggio calabria & 0 & 0 & 0 \\
39 & 1 & victoria libertas pesaro & 0 & 1 & 0 \\
40 & 1 & pallacanestro varese & 1 & 1 & 0 \\
41 & 1 & pallacanestro roseto & 0 & 0 & 1 \\
42 & 1 & nuova pallacanestro vigevano & 0 & 0 & 0 \\
43 & 1 & cestistica san severo & 0 & 0 & 1 \\
44 & 1 & basket brescia leonessa & 0 & 0 & 0 \\
45 & 1 & unione cestistica piacentina piacenza & 0 & 0 & 0 \\
46 & 1 & pallacanestro sant'antimo & 0 & 0 & 0 \\
47 & 1 & ostuni basket & 0 & 0 & 0 \\
48 & 1 & biancoblu basket bologna & 0 & 0 & 0 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 48 \\
\bottomrule
\end{tabular}
| select count ( * ) where ch.wins < 1922 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>seasons</th>
<th>team</th>
<th>ch.wins</th>
<th>promotions</th>
<th>relegations</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>10</td>
<td>basket rimini crabs</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>1</th>
<td>10</td>
<td>aurora basket jesi</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>2</th>
<td>10</td>
<td>andrea costa imola</td>
<td>0</td>
<td>0</td>
<td>3</td>
</tr>
<tr>
<th>3</th>
<td>9</td>
<td>nuova pallacanestro pavia</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>4</th>
<td>9</td>
<td>scafati basket</td>
<td>1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>5</th>
<td>8</td>
<td>basket club ferrara</td>
<td>1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>6</th>
<td>8</td>
<td>pallac. reggiana reggio emilia</td>
<td>2</td>
<td>2</td>
<td>0</td>
</tr>
<tr>
<th>7</th>
<td>7</td>
<td>novara</td>
<td>0</td>
<td>0</td>
<td>3</td>
</tr>
<tr>
<th>8</th>
<td>7</td>
<td>dinamo basket sassari</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>9</th>
<td>6</td>
<td>a.s. junior pallacanestro casale</td>
<td>1</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>10</th>
<td>5</td>
<td>rb montecatini terme</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>11</th>
<td>5</td>
<td>fabriano basket</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>5</td>
<td>societa veroli basket</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>13</th>
<td>5</td>
<td>pistoia basket 2000</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>14</th>
<td>4</td>
<td>juve caserta basket</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>15</th>
<td>3</td>
<td>gruppo triboldi basket soresina</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>16</th>
<td>3</td>
<td>nuova sebastiani rieti</td>
<td>1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>17</th>
<td>3</td>
<td>progresso castelmaggiore</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>18</th>
<td>3</td>
<td>orlandina basket</td>
<td>1</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>19</th>
<td>3</td>
<td>sutor basket montegranaro</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>20</th>
<td>3</td>
<td>virtus ragusa</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>21</th>
<td>3</td>
<td>robur basket osimo</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>22</th>
<td>3</td>
<td>reyer venezia</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>23</th>
<td>3</td>
<td>new basket brindisi</td>
<td>1</td>
<td>2</td>
<td>0</td>
</tr>
<tr>
<th>24</th>
<td>2</td>
<td>pallacanestro messina</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>25</th>
<td>2</td>
<td>basket trapani</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>26</th>
<td>2</td>
<td>basket draghi castelletto ticino</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>27</th>
<td>2</td>
<td>basket livorno</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>28</th>
<td>2</td>
<td>pallalcesto amatori udine</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>29</th>
<td>2</td>
<td>unione cestistica casalpusterlengo</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>30</th>
<td>2</td>
<td>basket barcellona</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>31</th>
<td>2</td>
<td>fulgor libertas forli</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>32</th>
<td>2</td>
<td>scaligera basket verona</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>33</th>
<td>1</td>
<td>societa sportiva basket napoli</td>
<td>1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>34</th>
<td>1</td>
<td>centro sportivo borgomanero</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>35</th>
<td>1</td>
<td>celana basket bergamo</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>36</th>
<td>1</td>
<td>teramo basket</td>
<td>1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>37</th>
<td>1</td>
<td>virtus pallacanestro bologna</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>38</th>
<td>1</td>
<td>viola reggio calabria</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>39</th>
<td>1</td>
<td>victoria libertas pesaro</td>
<td>0</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>40</th>
<td>1</td>
<td>pallacanestro varese</td>
<td>1</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>41</th>
<td>1</td>
<td>pallacanestro roseto</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>42</th>
<td>1</td>
<td>nuova pallacanestro vigevano</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>43</th>
<td>1</td>
<td>cestistica san severo</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>44</th>
<td>1</td>
<td>basket brescia leonessa</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>45</th>
<td>1</td>
<td>unione cestistica piacentina piacenza</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>46</th>
<td>1</td>
<td>pallacanestro sant'antimo</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>47</th>
<td>1</td>
<td>ostuni basket</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>48</th>
<td>1</td>
<td>biancoblu basket bologna</td>
<td>0</td>
<td>0</td>
<td>0</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>48</td>
</tr>
</tbody>
</table> | select count ( * ) where ch.wins < 1922 <table_name> : table | | seasons | team | ch.wins | promotions | relegations |
|---:|----------:|:--------------------------------------|----------:|-------------:|--------------:|
| 0 | 10 | basket rimini crabs | 0 | 0 | 0 |
| 1 | 10 | aurora basket jesi | 0 | 1 | 1 |
| 2 | 10 | andrea costa imola | 0 | 0 | 3 |
| 3 | 9 | nuova pallacanestro pavia | 0 | 0 | 0 |
| 4 | 9 | scafati basket | 1 | 1 | 0 |
| 5 | 8 | basket club ferrara | 1 | 1 | 0 |
| 6 | 8 | pallac. reggiana reggio emilia | 2 | 2 | 0 |
| 7 | 7 | novara | 0 | 0 | 3 |
| 8 | 7 | dinamo basket sassari | 0 | 1 | 0 |
| 9 | 6 | a.s. junior pallacanestro casale | 1 | 1 | 1 |
| 10 | 5 | rb montecatini terme | 0 | 0 | 1 |
| 11 | 5 | fabriano basket | 0 | 0 | 1 |
| 12 | 5 | societa veroli basket | 0 | 0 | 0 |
| 13 | 5 | pistoia basket 2000 | 0 | 0 | 0 |
| 14 | 4 | juve caserta basket | 0 | 1 | 0 |
| 15 | 3 | gruppo triboldi basket soresina | 0 | 1 | 0 |
| 16 | 3 | nuova sebastiani rieti | 1 | 1 | 0 |
| 17 | 3 | progresso castelmaggiore | 0 | 0 | 0 |
| 18 | 3 | orlandina basket | 1 | 1 | 1 |
| 19 | 3 | sutor basket montegranaro | 0 | 1 | 1 |
| 20 | 3 | virtus ragusa | 0 | 0 | 1 |
| 21 | 3 | robur basket osimo | 0 | 0 | 1 |
| 22 | 3 | reyer venezia | 0 | 1 | 0 |
| 23 | 3 | new basket brindisi | 1 | 2 | 0 |
| 24 | 2 | pallacanestro messina | 0 | 1 | 0 |
| 25 | 2 | basket trapani | 0 | 0 | 1 |
| 26 | 2 | basket draghi castelletto ticino | 0 | 0 | 0 |
| 27 | 2 | basket livorno | 0 | 0 | 0 |
| 28 | 2 | pallalcesto amatori udine | 0 | 0 | 0 |
| 29 | 2 | unione cestistica casalpusterlengo | 0 | 0 | 0 |
| 30 | 2 | basket barcellona | 0 | 0 | 0 |
| 31 | 2 | fulgor libertas forli | 0 | 0 | 1 |
| 32 | 2 | scaligera basket verona | 0 | 0 | 1 |
| 33 | 1 | societa sportiva basket napoli | 1 | 1 | 0 |
| 34 | 1 | centro sportivo borgomanero | 0 | 0 | 0 |
| 35 | 1 | celana basket bergamo | 0 | 0 | 1 |
| 36 | 1 | teramo basket | 1 | 1 | 0 |
| 37 | 1 | virtus pallacanestro bologna | 0 | 1 | 0 |
| 38 | 1 | viola reggio calabria | 0 | 0 | 0 |
| 39 | 1 | victoria libertas pesaro | 0 | 1 | 0 |
| 40 | 1 | pallacanestro varese | 1 | 1 | 0 |
| 41 | 1 | pallacanestro roseto | 0 | 0 | 1 |
| 42 | 1 | nuova pallacanestro vigevano | 0 | 0 | 0 |
| 43 | 1 | cestistica san severo | 0 | 0 | 1 |
| 44 | 1 | basket brescia leonessa | 0 | 0 | 0 |
| 45 | 1 | unione cestistica piacentina piacenza | 0 | 0 | 0 |
| 46 | 1 | pallacanestro sant'antimo | 0 | 0 | 0 |
| 47 | 1 | ostuni basket | 0 | 0 | 0 |
| 48 | 1 | biancoblu basket bologna | 0 | 0 | 0 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 48 | | [
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select team 2 where team 2 = 'real esteli' col : team 1 | agg. | team 2 | 1st leg | 2nd leg row 1 : tauro f.c | 5 - 0 | america managua | 5 - 0 | 0 - 0 row 2 : deportivo saprissa | 8 - 2 | real esteli | 4 - 1 | 4 - 1 row 3 : l.d. alajuelense | 11 - 1 | c.d. plaza amador | 4 - 1 | 7 - 0 row 4 : duurly's | 0 - 8 | c.d. luis angel firpo | 0 - 4 | 0 - 4 row 5 : real c.d. espana | 6 - 0 | acros real verdes | 5 - 0 | 1 - 0 row 6 : csd municipal | 3 - 6 | alianza f.c | 2 - 5 | 1 - 1 row 7 : c.d. motagua | 2 - 2 | csd comunicaciones | 1 - 1 | 1 - 1 row 8 : c.d. motagua | 0 - 1 (replay) | csd comunicaciones | none | none | col : team 2 row 1 : real esteli | select team 2 where team 2 = 'real esteli' <table_name> : table \begin{tabular}{llllll}
\toprule
& team 1 & agg. & team 2 & 1st leg & 2nd leg \\
\midrule
0 & tauro f.c & 5 - 0 & america managua & 5 - 0 & 0 - 0 \\
1 & deportivo saprissa & 8 - 2 & real esteli & 4 - 1 & 4 - 1 \\
2 & l.d. alajuelense & 11 - 1 & c.d. plaza amador & 4 - 1 & 7 - 0 \\
3 & duurly's & 0 - 8 & c.d. luis angel firpo & 0 - 4 & 0 - 4 \\
4 & real c.d. espana & 6 - 0 & acros real verdes & 5 - 0 & 1 - 0 \\
5 & csd municipal & 3 - 6 & alianza f.c & 2 - 5 & 1 - 1 \\
6 & c.d. motagua & 2 - 2 & csd comunicaciones & 1 - 1 & 1 - 1 \\
7 & c.d. motagua & 0 - 1 (replay) & csd comunicaciones & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& team 2 \\
\midrule
0 & real esteli \\
\bottomrule
\end{tabular}
| select team 2 where team 2 = 'real esteli' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>team 1</th>
<th>agg.</th>
<th>team 2</th>
<th>1st leg</th>
<th>2nd leg</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>tauro f.c</td>
<td>5 - 0</td>
<td>america managua</td>
<td>5 - 0</td>
<td>0 - 0</td>
</tr>
<tr>
<th>1</th>
<td>deportivo saprissa</td>
<td>8 - 2</td>
<td>real esteli</td>
<td>4 - 1</td>
<td>4 - 1</td>
</tr>
<tr>
<th>2</th>
<td>l.d. alajuelense</td>
<td>11 - 1</td>
<td>c.d. plaza amador</td>
<td>4 - 1</td>
<td>7 - 0</td>
</tr>
<tr>
<th>3</th>
<td>duurly's</td>
<td>0 - 8</td>
<td>c.d. luis angel firpo</td>
<td>0 - 4</td>
<td>0 - 4</td>
</tr>
<tr>
<th>4</th>
<td>real c.d. espana</td>
<td>6 - 0</td>
<td>acros real verdes</td>
<td>5 - 0</td>
<td>1 - 0</td>
</tr>
<tr>
<th>5</th>
<td>csd municipal</td>
<td>3 - 6</td>
<td>alianza f.c</td>
<td>2 - 5</td>
<td>1 - 1</td>
</tr>
<tr>
<th>6</th>
<td>c.d. motagua</td>
<td>2 - 2</td>
<td>csd comunicaciones</td>
<td>1 - 1</td>
<td>1 - 1</td>
</tr>
<tr>
<th>7</th>
<td>c.d. motagua</td>
<td>0 - 1 (replay)</td>
<td>csd comunicaciones</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>team 2</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>real esteli</td>
</tr>
</tbody>
</table> | select team 2 where team 2 = 'real esteli' <table_name> : table | | team 1 | agg. | team 2 | 1st leg | 2nd leg |
|---:|:-------------------|:---------------|:----------------------|:----------|:----------|
| 0 | tauro f.c | 5 - 0 | america managua | 5 - 0 | 0 - 0 |
| 1 | deportivo saprissa | 8 - 2 | real esteli | 4 - 1 | 4 - 1 |
| 2 | l.d. alajuelense | 11 - 1 | c.d. plaza amador | 4 - 1 | 7 - 0 |
| 3 | duurly's | 0 - 8 | c.d. luis angel firpo | 0 - 4 | 0 - 4 |
| 4 | real c.d. espana | 6 - 0 | acros real verdes | 5 - 0 | 1 - 0 |
| 5 | csd municipal | 3 - 6 | alianza f.c | 2 - 5 | 1 - 1 |
| 6 | c.d. motagua | 2 - 2 | csd comunicaciones | 1 - 1 | 1 - 1 |
| 7 | c.d. motagua | 0 - 1 (replay) | csd comunicaciones | none | none | | | | team 2 |
|---:|:------------|
| 0 | real esteli | | [
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select score1 where score1 = '1 - 3' col : match | date | ground | opponent | score1 | pos. | pts. | gd row 1 : 1 | 15 august | a | bayer uerdingen | 3 - 0 | 1 | 2 | 3 row 2 : 2 | 22 august | h | 1. fc kaiserslautern | 1 - 0 | 1 | 4 | 4 row 3 : 4 | 29 august | h | dynamo dresden | 3 - 1 | 1 | 6 | 6 row 4 : 5 | 2 september | a | 1. fc koln | 3 - 1 | 1 | 8 | 8 row 5 : 6 | 5 september | h | hamburger sv | 4 - 0 | 1 | 10 | 12 row 6 : 7 | 19 september | h | sg wattenscheid 09 | 1 - 1 | 1 | 11 | 12 row 7 : 8 | 25 september | a | borussia dortmund | 2 - 1 | 1 | 13 | 13 row 8 : 9 | 3 october | h | borussia monchengladbach | 2 - 2 | 1 | 14 | 13 row 9 : 10 | 17 october | a | 1. fc saarbrucken | 1 - 1 | 1 | 15 | 13 row 10 : 11 | 24 october | h | werder bremen | 1 - 3 | 1 | 15 | 11 row 11 : 3 | 27 october | a | eintracht frankfurt | 1 - 1 | 1 | 16 | 11 row 12 : 12 | 31 october | a | vfb stuttgart | 3 - 2 | 1 | 18 | 12 row 13 : 13 | 14 november | h | 1. fc nurnberg | 1 - 0 | 1 | 20 | 13 row 14 : 14 | 21 november | a | bayer leverkusen | 4 - 2 | 1 | 22 | 15 row 15 : 15 | 28 november | h | karlsruher sc | 3 - 3 | 1 | 23 | 15 row 16 : 16 | 5 december | a | vfl bochum | 2 - 2 | 1 | 24 | 15 row 17 : 17 | 12 december | h | schalke 04 | 1 - 1 | 1 | 25 | 15 row 18 : 18 | 20 february | h | bayer uerdingen | 2 - 0 | 1 | 27 | 17 row 19 : 19 | 27 february | a | 1. fc kaiserslautern | 3 - 1 | 1 | 29 | 19 row 20 : 20 | 6 march | h | eintracht frankfurt | 1 - 0 | 1 | 31 | 20 row 21 : 21 | 13 march | a | dynamo dresden | 0 - 0 | 1 | 32 | 20 row 22 : 22 | 20 march | h | 1. fc koln | 3 - 0 | 1 | 34 | 23 row 23 : 23 | 28 march | a | hamburger sv | 1 - 3 | 1 | 34 | 21 row 24 : 24 | 2 april | a | sg wattenscheid 09 | 0 - 2 | 1 | 34 | 19 row 25 : 25 | 10 april | h | borussia dortmund | 2 - 0 | 1 | 36 | 21 row 26 : 26 | 17 april | a | borussia monchengladbach | 2 - 2 | 1 | 37 | 21 row 27 : 27 | 23 april | h | 1. fc saarbrucken | 6 - 0 | 1 | 39 | 27 row 28 : 28 | 26 april | a | werder bremen | 1 - 4 | 1 | 39 | 24 row 29 : 29 | 30 april | h | vfb stuttgart | 5 - 3 | 1 | 41 | 26 row 30 : 30 | 8 may | a | 1. fc nurnberg | 0 - 0 | 1 | 42 | 26 row 31 : 31 | 15 may | h | bayer leverkusen | 4 - 1 | 1 | 44 | 29 row 32 : 32 | 23 may | a | karlsruher sc | 2 - 4 | 1 | 44 | 27 row 33 : 33 | 29 may | h | vfl bochum | 3 - 1 | 2 | 46 | 29 row 34 : 34 | 5 june | a | schalke 04 | 3 - 3 | 2 | 47 | 29 | col : score1 row 1 : 1 - 3 row 2 : 1 - 3 | select score1 where score1 = '1 - 3' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& match & date & ground & opponent & score1 & pos. & pts. & gd \\
\midrule
0 & 1 & 15 august & a & bayer uerdingen & 3 - 0 & 1 & 2 & 3 \\
1 & 2 & 22 august & h & 1. fc kaiserslautern & 1 - 0 & 1 & 4 & 4 \\
2 & 4 & 29 august & h & dynamo dresden & 3 - 1 & 1 & 6 & 6 \\
3 & 5 & 2 september & a & 1. fc koln & 3 - 1 & 1 & 8 & 8 \\
4 & 6 & 5 september & h & hamburger sv & 4 - 0 & 1 & 10 & 12 \\
5 & 7 & 19 september & h & sg wattenscheid 09 & 1 - 1 & 1 & 11 & 12 \\
6 & 8 & 25 september & a & borussia dortmund & 2 - 1 & 1 & 13 & 13 \\
7 & 9 & 3 october & h & borussia monchengladbach & 2 - 2 & 1 & 14 & 13 \\
8 & 10 & 17 october & a & 1. fc saarbrucken & 1 - 1 & 1 & 15 & 13 \\
9 & 11 & 24 october & h & werder bremen & 1 - 3 & 1 & 15 & 11 \\
10 & 3 & 27 october & a & eintracht frankfurt & 1 - 1 & 1 & 16 & 11 \\
11 & 12 & 31 october & a & vfb stuttgart & 3 - 2 & 1 & 18 & 12 \\
12 & 13 & 14 november & h & 1. fc nurnberg & 1 - 0 & 1 & 20 & 13 \\
13 & 14 & 21 november & a & bayer leverkusen & 4 - 2 & 1 & 22 & 15 \\
14 & 15 & 28 november & h & karlsruher sc & 3 - 3 & 1 & 23 & 15 \\
15 & 16 & 5 december & a & vfl bochum & 2 - 2 & 1 & 24 & 15 \\
16 & 17 & 12 december & h & schalke 04 & 1 - 1 & 1 & 25 & 15 \\
17 & 18 & 20 february & h & bayer uerdingen & 2 - 0 & 1 & 27 & 17 \\
18 & 19 & 27 february & a & 1. fc kaiserslautern & 3 - 1 & 1 & 29 & 19 \\
19 & 20 & 6 march & h & eintracht frankfurt & 1 - 0 & 1 & 31 & 20 \\
20 & 21 & 13 march & a & dynamo dresden & 0 - 0 & 1 & 32 & 20 \\
21 & 22 & 20 march & h & 1. fc koln & 3 - 0 & 1 & 34 & 23 \\
22 & 23 & 28 march & a & hamburger sv & 1 - 3 & 1 & 34 & 21 \\
23 & 24 & 2 april & a & sg wattenscheid 09 & 0 - 2 & 1 & 34 & 19 \\
24 & 25 & 10 april & h & borussia dortmund & 2 - 0 & 1 & 36 & 21 \\
25 & 26 & 17 april & a & borussia monchengladbach & 2 - 2 & 1 & 37 & 21 \\
26 & 27 & 23 april & h & 1. fc saarbrucken & 6 - 0 & 1 & 39 & 27 \\
27 & 28 & 26 april & a & werder bremen & 1 - 4 & 1 & 39 & 24 \\
28 & 29 & 30 april & h & vfb stuttgart & 5 - 3 & 1 & 41 & 26 \\
29 & 30 & 8 may & a & 1. fc nurnberg & 0 - 0 & 1 & 42 & 26 \\
30 & 31 & 15 may & h & bayer leverkusen & 4 - 1 & 1 & 44 & 29 \\
31 & 32 & 23 may & a & karlsruher sc & 2 - 4 & 1 & 44 & 27 \\
32 & 33 & 29 may & h & vfl bochum & 3 - 1 & 2 & 46 & 29 \\
33 & 34 & 5 june & a & schalke 04 & 3 - 3 & 2 & 47 & 29 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& score1 \\
\midrule
0 & 1 - 3 \\
1 & 1 - 3 \\
\bottomrule
\end{tabular}
| select score1 where score1 = '1 - 3' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>match</th>
<th>date</th>
<th>ground</th>
<th>opponent</th>
<th>score1</th>
<th>pos.</th>
<th>pts.</th>
<th>gd</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>15 august</td>
<td>a</td>
<td>bayer uerdingen</td>
<td>3 - 0</td>
<td>1</td>
<td>2</td>
<td>3</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>22 august</td>
<td>h</td>
<td>1. fc kaiserslautern</td>
<td>1 - 0</td>
<td>1</td>
<td>4</td>
<td>4</td>
</tr>
<tr>
<th>2</th>
<td>4</td>
<td>29 august</td>
<td>h</td>
<td>dynamo dresden</td>
<td>3 - 1</td>
<td>1</td>
<td>6</td>
<td>6</td>
</tr>
<tr>
<th>3</th>
<td>5</td>
<td>2 september</td>
<td>a</td>
<td>1. fc koln</td>
<td>3 - 1</td>
<td>1</td>
<td>8</td>
<td>8</td>
</tr>
<tr>
<th>4</th>
<td>6</td>
<td>5 september</td>
<td>h</td>
<td>hamburger sv</td>
<td>4 - 0</td>
<td>1</td>
<td>10</td>
<td>12</td>
</tr>
<tr>
<th>5</th>
<td>7</td>
<td>19 september</td>
<td>h</td>
<td>sg wattenscheid 09</td>
<td>1 - 1</td>
<td>1</td>
<td>11</td>
<td>12</td>
</tr>
<tr>
<th>6</th>
<td>8</td>
<td>25 september</td>
<td>a</td>
<td>borussia dortmund</td>
<td>2 - 1</td>
<td>1</td>
<td>13</td>
<td>13</td>
</tr>
<tr>
<th>7</th>
<td>9</td>
<td>3 october</td>
<td>h</td>
<td>borussia monchengladbach</td>
<td>2 - 2</td>
<td>1</td>
<td>14</td>
<td>13</td>
</tr>
<tr>
<th>8</th>
<td>10</td>
<td>17 october</td>
<td>a</td>
<td>1. fc saarbrucken</td>
<td>1 - 1</td>
<td>1</td>
<td>15</td>
<td>13</td>
</tr>
<tr>
<th>9</th>
<td>11</td>
<td>24 october</td>
<td>h</td>
<td>werder bremen</td>
<td>1 - 3</td>
<td>1</td>
<td>15</td>
<td>11</td>
</tr>
<tr>
<th>10</th>
<td>3</td>
<td>27 october</td>
<td>a</td>
<td>eintracht frankfurt</td>
<td>1 - 1</td>
<td>1</td>
<td>16</td>
<td>11</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>31 october</td>
<td>a</td>
<td>vfb stuttgart</td>
<td>3 - 2</td>
<td>1</td>
<td>18</td>
<td>12</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>14 november</td>
<td>h</td>
<td>1. fc nurnberg</td>
<td>1 - 0</td>
<td>1</td>
<td>20</td>
<td>13</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>21 november</td>
<td>a</td>
<td>bayer leverkusen</td>
<td>4 - 2</td>
<td>1</td>
<td>22</td>
<td>15</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>28 november</td>
<td>h</td>
<td>karlsruher sc</td>
<td>3 - 3</td>
<td>1</td>
<td>23</td>
<td>15</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>5 december</td>
<td>a</td>
<td>vfl bochum</td>
<td>2 - 2</td>
<td>1</td>
<td>24</td>
<td>15</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>12 december</td>
<td>h</td>
<td>schalke 04</td>
<td>1 - 1</td>
<td>1</td>
<td>25</td>
<td>15</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>20 february</td>
<td>h</td>
<td>bayer uerdingen</td>
<td>2 - 0</td>
<td>1</td>
<td>27</td>
<td>17</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>27 february</td>
<td>a</td>
<td>1. fc kaiserslautern</td>
<td>3 - 1</td>
<td>1</td>
<td>29</td>
<td>19</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>6 march</td>
<td>h</td>
<td>eintracht frankfurt</td>
<td>1 - 0</td>
<td>1</td>
<td>31</td>
<td>20</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>13 march</td>
<td>a</td>
<td>dynamo dresden</td>
<td>0 - 0</td>
<td>1</td>
<td>32</td>
<td>20</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>20 march</td>
<td>h</td>
<td>1. fc koln</td>
<td>3 - 0</td>
<td>1</td>
<td>34</td>
<td>23</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>28 march</td>
<td>a</td>
<td>hamburger sv</td>
<td>1 - 3</td>
<td>1</td>
<td>34</td>
<td>21</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>2 april</td>
<td>a</td>
<td>sg wattenscheid 09</td>
<td>0 - 2</td>
<td>1</td>
<td>34</td>
<td>19</td>
</tr>
<tr>
<th>24</th>
<td>25</td>
<td>10 april</td>
<td>h</td>
<td>borussia dortmund</td>
<td>2 - 0</td>
<td>1</td>
<td>36</td>
<td>21</td>
</tr>
<tr>
<th>25</th>
<td>26</td>
<td>17 april</td>
<td>a</td>
<td>borussia monchengladbach</td>
<td>2 - 2</td>
<td>1</td>
<td>37</td>
<td>21</td>
</tr>
<tr>
<th>26</th>
<td>27</td>
<td>23 april</td>
<td>h</td>
<td>1. fc saarbrucken</td>
<td>6 - 0</td>
<td>1</td>
<td>39</td>
<td>27</td>
</tr>
<tr>
<th>27</th>
<td>28</td>
<td>26 april</td>
<td>a</td>
<td>werder bremen</td>
<td>1 - 4</td>
<td>1</td>
<td>39</td>
<td>24</td>
</tr>
<tr>
<th>28</th>
<td>29</td>
<td>30 april</td>
<td>h</td>
<td>vfb stuttgart</td>
<td>5 - 3</td>
<td>1</td>
<td>41</td>
<td>26</td>
</tr>
<tr>
<th>29</th>
<td>30</td>
<td>8 may</td>
<td>a</td>
<td>1. fc nurnberg</td>
<td>0 - 0</td>
<td>1</td>
<td>42</td>
<td>26</td>
</tr>
<tr>
<th>30</th>
<td>31</td>
<td>15 may</td>
<td>h</td>
<td>bayer leverkusen</td>
<td>4 - 1</td>
<td>1</td>
<td>44</td>
<td>29</td>
</tr>
<tr>
<th>31</th>
<td>32</td>
<td>23 may</td>
<td>a</td>
<td>karlsruher sc</td>
<td>2 - 4</td>
<td>1</td>
<td>44</td>
<td>27</td>
</tr>
<tr>
<th>32</th>
<td>33</td>
<td>29 may</td>
<td>h</td>
<td>vfl bochum</td>
<td>3 - 1</td>
<td>2</td>
<td>46</td>
<td>29</td>
</tr>
<tr>
<th>33</th>
<td>34</td>
<td>5 june</td>
<td>a</td>
<td>schalke 04</td>
<td>3 - 3</td>
<td>2</td>
<td>47</td>
<td>29</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>score1</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1 - 3</td>
</tr>
<tr>
<th>1</th>
<td>1 - 3</td>
</tr>
</tbody>
</table> | select score1 where score1 = '1 - 3' <table_name> : table | | match | date | ground | opponent | score1 | pos. | pts. | gd |
|---:|--------:|:-------------|:---------|:-------------------------|:---------|-------:|-------:|-----:|
| 0 | 1 | 15 august | a | bayer uerdingen | 3 - 0 | 1 | 2 | 3 |
| 1 | 2 | 22 august | h | 1. fc kaiserslautern | 1 - 0 | 1 | 4 | 4 |
| 2 | 4 | 29 august | h | dynamo dresden | 3 - 1 | 1 | 6 | 6 |
| 3 | 5 | 2 september | a | 1. fc koln | 3 - 1 | 1 | 8 | 8 |
| 4 | 6 | 5 september | h | hamburger sv | 4 - 0 | 1 | 10 | 12 |
| 5 | 7 | 19 september | h | sg wattenscheid 09 | 1 - 1 | 1 | 11 | 12 |
| 6 | 8 | 25 september | a | borussia dortmund | 2 - 1 | 1 | 13 | 13 |
| 7 | 9 | 3 october | h | borussia monchengladbach | 2 - 2 | 1 | 14 | 13 |
| 8 | 10 | 17 october | a | 1. fc saarbrucken | 1 - 1 | 1 | 15 | 13 |
| 9 | 11 | 24 october | h | werder bremen | 1 - 3 | 1 | 15 | 11 |
| 10 | 3 | 27 october | a | eintracht frankfurt | 1 - 1 | 1 | 16 | 11 |
| 11 | 12 | 31 october | a | vfb stuttgart | 3 - 2 | 1 | 18 | 12 |
| 12 | 13 | 14 november | h | 1. fc nurnberg | 1 - 0 | 1 | 20 | 13 |
| 13 | 14 | 21 november | a | bayer leverkusen | 4 - 2 | 1 | 22 | 15 |
| 14 | 15 | 28 november | h | karlsruher sc | 3 - 3 | 1 | 23 | 15 |
| 15 | 16 | 5 december | a | vfl bochum | 2 - 2 | 1 | 24 | 15 |
| 16 | 17 | 12 december | h | schalke 04 | 1 - 1 | 1 | 25 | 15 |
| 17 | 18 | 20 february | h | bayer uerdingen | 2 - 0 | 1 | 27 | 17 |
| 18 | 19 | 27 february | a | 1. fc kaiserslautern | 3 - 1 | 1 | 29 | 19 |
| 19 | 20 | 6 march | h | eintracht frankfurt | 1 - 0 | 1 | 31 | 20 |
| 20 | 21 | 13 march | a | dynamo dresden | 0 - 0 | 1 | 32 | 20 |
| 21 | 22 | 20 march | h | 1. fc koln | 3 - 0 | 1 | 34 | 23 |
| 22 | 23 | 28 march | a | hamburger sv | 1 - 3 | 1 | 34 | 21 |
| 23 | 24 | 2 april | a | sg wattenscheid 09 | 0 - 2 | 1 | 34 | 19 |
| 24 | 25 | 10 april | h | borussia dortmund | 2 - 0 | 1 | 36 | 21 |
| 25 | 26 | 17 april | a | borussia monchengladbach | 2 - 2 | 1 | 37 | 21 |
| 26 | 27 | 23 april | h | 1. fc saarbrucken | 6 - 0 | 1 | 39 | 27 |
| 27 | 28 | 26 april | a | werder bremen | 1 - 4 | 1 | 39 | 24 |
| 28 | 29 | 30 april | h | vfb stuttgart | 5 - 3 | 1 | 41 | 26 |
| 29 | 30 | 8 may | a | 1. fc nurnberg | 0 - 0 | 1 | 42 | 26 |
| 30 | 31 | 15 may | h | bayer leverkusen | 4 - 1 | 1 | 44 | 29 |
| 31 | 32 | 23 may | a | karlsruher sc | 2 - 4 | 1 | 44 | 27 |
| 32 | 33 | 29 may | h | vfl bochum | 3 - 1 | 2 | 46 | 29 |
| 33 | 34 | 5 june | a | schalke 04 | 3 - 3 | 2 | 47 | 29 | | | | score1 |
|---:|:---------|
| 0 | 1 - 3 |
| 1 | 1 - 3 | | [
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] |
select count ( place ) where tier < 1244 col : season | tier | division | place row 1 : 1988/89 | 4 | 3a | 3rd row 2 : 1989/90 | 4 | 3a | 1st row 3 : 1990/91 | 3 | 2ab | 6th row 4 : 1991/92 | 3 | 2ab | 12th row 5 : 1992/93 | 3 | 2ab | 4th row 6 : 1993/94 | 3 | 2ab | 15th row 7 : 1994/95 | 3 | 2ab | 9th row 8 : 1995/96 | 3 | 2ab | 19th row 9 : 1996/97 | 4 | 3a | 2nd row 10 : 1997/98 | 4 | 3a | 1st row 11 : 1998/99 | 4 | 3a | 6th | col : count ( "place" ) row 1 : 0 | select count ( place ) where tier < 1244 <table_name> : table \begin{tabular}{lllll}
\toprule
& season & tier & division & place \\
\midrule
0 & 1988/89 & 4 & 3a & 3rd \\
1 & 1989/90 & 4 & 3a & 1st \\
2 & 1990/91 & 3 & 2ab & 6th \\
3 & 1991/92 & 3 & 2ab & 12th \\
4 & 1992/93 & 3 & 2ab & 4th \\
5 & 1993/94 & 3 & 2ab & 15th \\
6 & 1994/95 & 3 & 2ab & 9th \\
7 & 1995/96 & 3 & 2ab & 19th \\
8 & 1996/97 & 4 & 3a & 2nd \\
9 & 1997/98 & 4 & 3a & 1st \\
10 & 1998/99 & 4 & 3a & 6th \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "place" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( place ) where tier < 1244 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
<th>tier</th>
<th>division</th>
<th>place</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1988/89</td>
<td>4</td>
<td>3a</td>
<td>3rd</td>
</tr>
<tr>
<th>1</th>
<td>1989/90</td>
<td>4</td>
<td>3a</td>
<td>1st</td>
</tr>
<tr>
<th>2</th>
<td>1990/91</td>
<td>3</td>
<td>2ab</td>
<td>6th</td>
</tr>
<tr>
<th>3</th>
<td>1991/92</td>
<td>3</td>
<td>2ab</td>
<td>12th</td>
</tr>
<tr>
<th>4</th>
<td>1992/93</td>
<td>3</td>
<td>2ab</td>
<td>4th</td>
</tr>
<tr>
<th>5</th>
<td>1993/94</td>
<td>3</td>
<td>2ab</td>
<td>15th</td>
</tr>
<tr>
<th>6</th>
<td>1994/95</td>
<td>3</td>
<td>2ab</td>
<td>9th</td>
</tr>
<tr>
<th>7</th>
<td>1995/96</td>
<td>3</td>
<td>2ab</td>
<td>19th</td>
</tr>
<tr>
<th>8</th>
<td>1996/97</td>
<td>4</td>
<td>3a</td>
<td>2nd</td>
</tr>
<tr>
<th>9</th>
<td>1997/98</td>
<td>4</td>
<td>3a</td>
<td>1st</td>
</tr>
<tr>
<th>10</th>
<td>1998/99</td>
<td>4</td>
<td>3a</td>
<td>6th</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "place" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( place ) where tier < 1244 <table_name> : table | | season | tier | division | place |
|---:|:---------|-------:|:-----------|:--------|
| 0 | 1988/89 | 4 | 3a | 3rd |
| 1 | 1989/90 | 4 | 3a | 1st |
| 2 | 1990/91 | 3 | 2ab | 6th |
| 3 | 1991/92 | 3 | 2ab | 12th |
| 4 | 1992/93 | 3 | 2ab | 4th |
| 5 | 1993/94 | 3 | 2ab | 15th |
| 6 | 1994/95 | 3 | 2ab | 9th |
| 7 | 1995/96 | 3 | 2ab | 19th |
| 8 | 1996/97 | 4 | 3a | 2nd |
| 9 | 1997/98 | 4 | 3a | 1st |
| 10 | 1998/99 | 4 | 3a | 6th | | | | count ( "place" ) |
|---:|--------------------:|
| 0 | 0 | | [
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select longitude where diameter = '52 km' col : kant | latitude | longitude | diameter row 1 : b | 9.7° s | 18.6° e | 16 km row 2 : c | 9.3° s | 22.1° e | 20 km row 3 : d | 11.5° s | 18.7° e | 52 km row 4 : g | 9.2° s | 19.5° e | 32 km row 5 : h | 9.1° s | 20.8° e | 7 km row 6 : n | 9.9° s | 19.7° e | 10 km row 7 : o | 12.0° s | 17.2° e | 7 km row 8 : p | 10.8° s | 17.4° e | 5 km row 9 : q | 13.1° s | 18.8° e | 5 km row 10 : s | 11.5° s | 19.7° e | 5 km row 11 : t | 11.3° s | 20.2° e | 5 km row 12 : z | 10.4° s | 17.5° e | 3 km | col : longitude row 1 : 18.7° e | select longitude where diameter = '52 km' <table_name> : table \begin{tabular}{lllll}
\toprule
& kant & latitude & longitude & diameter \\
\midrule
0 & b & 9.7° s & 18.6° e & 16 km \\
1 & c & 9.3° s & 22.1° e & 20 km \\
2 & d & 11.5° s & 18.7° e & 52 km \\
3 & g & 9.2° s & 19.5° e & 32 km \\
4 & h & 9.1° s & 20.8° e & 7 km \\
5 & n & 9.9° s & 19.7° e & 10 km \\
6 & o & 12.0° s & 17.2° e & 7 km \\
7 & p & 10.8° s & 17.4° e & 5 km \\
8 & q & 13.1° s & 18.8° e & 5 km \\
9 & s & 11.5° s & 19.7° e & 5 km \\
10 & t & 11.3° s & 20.2° e & 5 km \\
11 & z & 10.4° s & 17.5° e & 3 km \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& longitude \\
\midrule
0 & 18.7° e \\
\bottomrule
\end{tabular}
| select longitude where diameter = '52 km' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>kant</th>
<th>latitude</th>
<th>longitude</th>
<th>diameter</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>b</td>
<td>9.7° s</td>
<td>18.6° e</td>
<td>16 km</td>
</tr>
<tr>
<th>1</th>
<td>c</td>
<td>9.3° s</td>
<td>22.1° e</td>
<td>20 km</td>
</tr>
<tr>
<th>2</th>
<td>d</td>
<td>11.5° s</td>
<td>18.7° e</td>
<td>52 km</td>
</tr>
<tr>
<th>3</th>
<td>g</td>
<td>9.2° s</td>
<td>19.5° e</td>
<td>32 km</td>
</tr>
<tr>
<th>4</th>
<td>h</td>
<td>9.1° s</td>
<td>20.8° e</td>
<td>7 km</td>
</tr>
<tr>
<th>5</th>
<td>n</td>
<td>9.9° s</td>
<td>19.7° e</td>
<td>10 km</td>
</tr>
<tr>
<th>6</th>
<td>o</td>
<td>12.0° s</td>
<td>17.2° e</td>
<td>7 km</td>
</tr>
<tr>
<th>7</th>
<td>p</td>
<td>10.8° s</td>
<td>17.4° e</td>
<td>5 km</td>
</tr>
<tr>
<th>8</th>
<td>q</td>
<td>13.1° s</td>
<td>18.8° e</td>
<td>5 km</td>
</tr>
<tr>
<th>9</th>
<td>s</td>
<td>11.5° s</td>
<td>19.7° e</td>
<td>5 km</td>
</tr>
<tr>
<th>10</th>
<td>t</td>
<td>11.3° s</td>
<td>20.2° e</td>
<td>5 km</td>
</tr>
<tr>
<th>11</th>
<td>z</td>
<td>10.4° s</td>
<td>17.5° e</td>
<td>3 km</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>longitude</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>18.7° e</td>
</tr>
</tbody>
</table> | select longitude where diameter = '52 km' <table_name> : table | | kant | latitude | longitude | diameter |
|---:|:-------|:-----------|:------------|:-----------|
| 0 | b | 9.7° s | 18.6° e | 16 km |
| 1 | c | 9.3° s | 22.1° e | 20 km |
| 2 | d | 11.5° s | 18.7° e | 52 km |
| 3 | g | 9.2° s | 19.5° e | 32 km |
| 4 | h | 9.1° s | 20.8° e | 7 km |
| 5 | n | 9.9° s | 19.7° e | 10 km |
| 6 | o | 12.0° s | 17.2° e | 7 km |
| 7 | p | 10.8° s | 17.4° e | 5 km |
| 8 | q | 13.1° s | 18.8° e | 5 km |
| 9 | s | 11.5° s | 19.7° e | 5 km |
| 10 | t | 11.3° s | 20.2° e | 5 km |
| 11 | z | 10.4° s | 17.5° e | 3 km | | | | longitude |
|---:|:------------|
| 0 | 18.7° e | | [
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select floors where name = 'continental center' col : rank | name | height ft / m | floors | year | notes row 1 : 1 | rhodes state office tower | 629 / 192 | 41 | 1973 | has been the tallest building in columbus and the tallest mid-block skyscraper in ohio since 1973. tallest building constructed in columbus in the 1970s row 2 : 2 | leveque tower | 555 / 169 | 47 | 1927 | tallest building constructed in columbus in the 1920s row 3 : 3 | william green building | 530 / 162 | 33 | 1990 | tallest building constructed in columbus in the 1990s row 4 : 4 | huntington center | 512 / 156 | 37 | 1984 | tallest building constructed in columbus in the 1980s row 5 : 5 | vern riffe state office tower | 503 / 153 | 32 | 1988 | none row 6 : 6 | one nationwide plaza | 485 / 148 | 40 | 1976 | none row 7 : 7 | franklin county courthouse | 464 / 141 | 27 | 1991 | none row 8 : 8 | aep building | 456 / 139 | 31 | 1983 | none row 9 : 9 | borden building | 438 / 134 | 34 | 1974 | none row 10 : 10 | three nationwide plaza | 408 / 124 | 27 | 1989 | none row 11 : 11 | one columbus center | 366 / 112 | 26 | 1987 | none row 12 : 12 | columbus center | 357 / 109 | 25 | 1964 | tallest building constructed in columbus in the 1960s. was built as the bank one tower row 13 : 13 | capitol square | 350 / 107 | 26 | 1984 | none row 14 : 14 | continental center | 348 / 106 | 26 | 1973 | none row 15 : 15 | pnc bank building | 317 / 97 | 25 | 1977 | none row 16 : 16 | miranova condominiums | 314 / 96 | 26 | 2001 | tallest residential building in the state of ohio. tallest building built in the 2000s row 17 : 17 | fifth third center | 302 / 92 | 25 | 1998 | none row 18 : 18 | motorists mutual building | 286 / 87 | 21 | 1973 | none row 19 : 19 | midland building | 280 / 85 | 21 | 1970 | none row 20 : 20 | the condominiums at north bank park | 267 / 81 | 20 | 2007 | none row 21 : 21= | lincoln tower dormitory | 260 / 79 | 26 | 1967 | none row 22 : 21= | morrill tower dormitory | 260 / 79 | 26 | 1967 | none row 23 : 23 | hyatt regency columbus | 256 / 78 | 20 | 1980 | none row 24 : 24 | key bank building | 253 / 77 | 20 | 1963 | none row 25 : 25 | adam's mark hotel | 243 / 74 | 16 | 1961 | none row 26 : 26 | town center | 226 / 69 | 17 | 1974 | none row 27 : 27 | 8 east broad street | 212 / 64.6 | 17 | 1906 | none row 28 : 28 | huntington building | 202 / 59.4 | 13 | 1926 | none row 29 : 29 | ohio judicial center | 200 / 57.9 | 14 | 1933 | none row 30 : 30 | 16 east broad street | 180 / 64.4 | 13 | 1900 | none | col : floors row 1 : 26 | select floors where name = 'continental center' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & name & height ft / m & floors & year & notes \\
\midrule
0 & 1 & rhodes state office tower & 629 / 192 & 41 & 1973 & has been the tallest building in columbus and the tallest mid-block skyscraper in ohio since 1973. tallest building constructed in columbus in the 1970s \\
1 & 2 & leveque tower & 555 / 169 & 47 & 1927 & tallest building constructed in columbus in the 1920s \\
2 & 3 & william green building & 530 / 162 & 33 & 1990 & tallest building constructed in columbus in the 1990s \\
3 & 4 & huntington center & 512 / 156 & 37 & 1984 & tallest building constructed in columbus in the 1980s \\
4 & 5 & vern riffe state office tower & 503 / 153 & 32 & 1988 & none \\
5 & 6 & one nationwide plaza & 485 / 148 & 40 & 1976 & none \\
6 & 7 & franklin county courthouse & 464 / 141 & 27 & 1991 & none \\
7 & 8 & aep building & 456 / 139 & 31 & 1983 & none \\
8 & 9 & borden building & 438 / 134 & 34 & 1974 & none \\
9 & 10 & three nationwide plaza & 408 / 124 & 27 & 1989 & none \\
10 & 11 & one columbus center & 366 / 112 & 26 & 1987 & none \\
11 & 12 & columbus center & 357 / 109 & 25 & 1964 & tallest building constructed in columbus in the 1960s. was built as the bank one tower \\
12 & 13 & capitol square & 350 / 107 & 26 & 1984 & none \\
13 & 14 & continental center & 348 / 106 & 26 & 1973 & none \\
14 & 15 & pnc bank building & 317 / 97 & 25 & 1977 & none \\
15 & 16 & miranova condominiums & 314 / 96 & 26 & 2001 & tallest residential building in the state of ohio. tallest building built in the 2000s \\
16 & 17 & fifth third center & 302 / 92 & 25 & 1998 & none \\
17 & 18 & motorists mutual building & 286 / 87 & 21 & 1973 & none \\
18 & 19 & midland building & 280 / 85 & 21 & 1970 & none \\
19 & 20 & the condominiums at north bank park & 267 / 81 & 20 & 2007 & none \\
20 & 21= & lincoln tower dormitory & 260 / 79 & 26 & 1967 & none \\
21 & 21= & morrill tower dormitory & 260 / 79 & 26 & 1967 & none \\
22 & 23 & hyatt regency columbus & 256 / 78 & 20 & 1980 & none \\
23 & 24 & key bank building & 253 / 77 & 20 & 1963 & none \\
24 & 25 & adam's mark hotel & 243 / 74 & 16 & 1961 & none \\
25 & 26 & town center & 226 / 69 & 17 & 1974 & none \\
26 & 27 & 8 east broad street & 212 / 64.6 & 17 & 1906 & none \\
27 & 28 & huntington building & 202 / 59.4 & 13 & 1926 & none \\
28 & 29 & ohio judicial center & 200 / 57.9 & 14 & 1933 & none \\
29 & 30 & 16 east broad street & 180 / 64.4 & 13 & 1900 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& floors \\
\midrule
0 & 26 \\
\bottomrule
\end{tabular}
| select floors where name = 'continental center' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>name</th>
<th>height ft / m</th>
<th>floors</th>
<th>year</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>rhodes state office tower</td>
<td>629 / 192</td>
<td>41</td>
<td>1973</td>
<td>has been the tallest building in columbus and the tallest mid-block skyscraper in ohio since 1973. tallest building constructed in columbus in the 1970s</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>leveque tower</td>
<td>555 / 169</td>
<td>47</td>
<td>1927</td>
<td>tallest building constructed in columbus in the 1920s</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>william green building</td>
<td>530 / 162</td>
<td>33</td>
<td>1990</td>
<td>tallest building constructed in columbus in the 1990s</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>huntington center</td>
<td>512 / 156</td>
<td>37</td>
<td>1984</td>
<td>tallest building constructed in columbus in the 1980s</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>vern riffe state office tower</td>
<td>503 / 153</td>
<td>32</td>
<td>1988</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>one nationwide plaza</td>
<td>485 / 148</td>
<td>40</td>
<td>1976</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>franklin county courthouse</td>
<td>464 / 141</td>
<td>27</td>
<td>1991</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>aep building</td>
<td>456 / 139</td>
<td>31</td>
<td>1983</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>borden building</td>
<td>438 / 134</td>
<td>34</td>
<td>1974</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>three nationwide plaza</td>
<td>408 / 124</td>
<td>27</td>
<td>1989</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>one columbus center</td>
<td>366 / 112</td>
<td>26</td>
<td>1987</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>columbus center</td>
<td>357 / 109</td>
<td>25</td>
<td>1964</td>
<td>tallest building constructed in columbus in the 1960s. was built as the bank one tower</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>capitol square</td>
<td>350 / 107</td>
<td>26</td>
<td>1984</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>continental center</td>
<td>348 / 106</td>
<td>26</td>
<td>1973</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>pnc bank building</td>
<td>317 / 97</td>
<td>25</td>
<td>1977</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>miranova condominiums</td>
<td>314 / 96</td>
<td>26</td>
<td>2001</td>
<td>tallest residential building in the state of ohio. tallest building built in the 2000s</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>fifth third center</td>
<td>302 / 92</td>
<td>25</td>
<td>1998</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>motorists mutual building</td>
<td>286 / 87</td>
<td>21</td>
<td>1973</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>midland building</td>
<td>280 / 85</td>
<td>21</td>
<td>1970</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>the condominiums at north bank park</td>
<td>267 / 81</td>
<td>20</td>
<td>2007</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>21=</td>
<td>lincoln tower dormitory</td>
<td>260 / 79</td>
<td>26</td>
<td>1967</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>21=</td>
<td>morrill tower dormitory</td>
<td>260 / 79</td>
<td>26</td>
<td>1967</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>hyatt regency columbus</td>
<td>256 / 78</td>
<td>20</td>
<td>1980</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>key bank building</td>
<td>253 / 77</td>
<td>20</td>
<td>1963</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>25</td>
<td>adam's mark hotel</td>
<td>243 / 74</td>
<td>16</td>
<td>1961</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>26</td>
<td>town center</td>
<td>226 / 69</td>
<td>17</td>
<td>1974</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>27</td>
<td>8 east broad street</td>
<td>212 / 64.6</td>
<td>17</td>
<td>1906</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>28</td>
<td>huntington building</td>
<td>202 / 59.4</td>
<td>13</td>
<td>1926</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>29</td>
<td>ohio judicial center</td>
<td>200 / 57.9</td>
<td>14</td>
<td>1933</td>
<td>none</td>
</tr>
<tr>
<th>29</th>
<td>30</td>
<td>16 east broad street</td>
<td>180 / 64.4</td>
<td>13</td>
<td>1900</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>floors</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>26</td>
</tr>
</tbody>
</table> | select floors where name = 'continental center' <table_name> : table | | rank | name | height ft / m | floors | year | notes |
|---:|:-------|:------------------------------------|:----------------|---------:|-------:|:---------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 1 | rhodes state office tower | 629 / 192 | 41 | 1973 | has been the tallest building in columbus and the tallest mid-block skyscraper in ohio since 1973. tallest building constructed in columbus in the 1970s |
| 1 | 2 | leveque tower | 555 / 169 | 47 | 1927 | tallest building constructed in columbus in the 1920s |
| 2 | 3 | william green building | 530 / 162 | 33 | 1990 | tallest building constructed in columbus in the 1990s |
| 3 | 4 | huntington center | 512 / 156 | 37 | 1984 | tallest building constructed in columbus in the 1980s |
| 4 | 5 | vern riffe state office tower | 503 / 153 | 32 | 1988 | none |
| 5 | 6 | one nationwide plaza | 485 / 148 | 40 | 1976 | none |
| 6 | 7 | franklin county courthouse | 464 / 141 | 27 | 1991 | none |
| 7 | 8 | aep building | 456 / 139 | 31 | 1983 | none |
| 8 | 9 | borden building | 438 / 134 | 34 | 1974 | none |
| 9 | 10 | three nationwide plaza | 408 / 124 | 27 | 1989 | none |
| 10 | 11 | one columbus center | 366 / 112 | 26 | 1987 | none |
| 11 | 12 | columbus center | 357 / 109 | 25 | 1964 | tallest building constructed in columbus in the 1960s. was built as the bank one tower |
| 12 | 13 | capitol square | 350 / 107 | 26 | 1984 | none |
| 13 | 14 | continental center | 348 / 106 | 26 | 1973 | none |
| 14 | 15 | pnc bank building | 317 / 97 | 25 | 1977 | none |
| 15 | 16 | miranova condominiums | 314 / 96 | 26 | 2001 | tallest residential building in the state of ohio. tallest building built in the 2000s |
| 16 | 17 | fifth third center | 302 / 92 | 25 | 1998 | none |
| 17 | 18 | motorists mutual building | 286 / 87 | 21 | 1973 | none |
| 18 | 19 | midland building | 280 / 85 | 21 | 1970 | none |
| 19 | 20 | the condominiums at north bank park | 267 / 81 | 20 | 2007 | none |
| 20 | 21= | lincoln tower dormitory | 260 / 79 | 26 | 1967 | none |
| 21 | 21= | morrill tower dormitory | 260 / 79 | 26 | 1967 | none |
| 22 | 23 | hyatt regency columbus | 256 / 78 | 20 | 1980 | none |
| 23 | 24 | key bank building | 253 / 77 | 20 | 1963 | none |
| 24 | 25 | adam's mark hotel | 243 / 74 | 16 | 1961 | none |
| 25 | 26 | town center | 226 / 69 | 17 | 1974 | none |
| 26 | 27 | 8 east broad street | 212 / 64.6 | 17 | 1906 | none |
| 27 | 28 | huntington building | 202 / 59.4 | 13 | 1926 | none |
| 28 | 29 | ohio judicial center | 200 / 57.9 | 14 | 1933 | none |
| 29 | 30 | 16 east broad street | 180 / 64.4 | 13 | 1900 | none | | | | floors |
|---:|---------:|
| 0 | 26 | | [
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] |
select count ( * ) where percentage = '5.4%' col : governorate | percentage | seats won | total seats row 1 : al-anbar | none | 0 | 29 row 2 : babil | 8.2% | 5 | 30 row 3 : baghdad | 5.4% | 3 | 57 row 4 : basra | 11.6% | 5 | 35 row 5 : dhi qar | 11.1% | 5 | 31 row 6 : diyala | none | 0 | 29 row 7 : karbala | 6.4% | 4 | 27 row 8 : maysan | 15.2% | 7 | 27 row 9 : al-muthanna | 9.3% | 5 | 26 row 10 : najaf | 14.8% | 7 | 28 row 11 : ninawa | 1.9% | 0 | 37 row 12 : al-qadisiyyah | 11.7% | 4 | 28 row 13 : salah ad-din | 2.9% | 1 | 28 row 14 : wassit | 10.0% | 6 | 28 row 15 : total | 6.6% | 52 | 440 | col : count ( "*" ) row 1 : 1 | select count ( * ) where percentage = '5.4%' <table_name> : table \begin{tabular}{lllll}
\toprule
& governorate & percentage & seats won & total seats \\
\midrule
0 & al-anbar & none & 0 & 29 \\
1 & babil & 8.2% & 5 & 30 \\
2 & baghdad & 5.4% & 3 & 57 \\
3 & basra & 11.6% & 5 & 35 \\
4 & dhi qar & 11.1% & 5 & 31 \\
5 & diyala & none & 0 & 29 \\
6 & karbala & 6.4% & 4 & 27 \\
7 & maysan & 15.2% & 7 & 27 \\
8 & al-muthanna & 9.3% & 5 & 26 \\
9 & najaf & 14.8% & 7 & 28 \\
10 & ninawa & 1.9% & 0 & 37 \\
11 & al-qadisiyyah & 11.7% & 4 & 28 \\
12 & salah ad-din & 2.9% & 1 & 28 \\
13 & wassit & 10.0% & 6 & 28 \\
14 & total & 6.6% & 52 & 440 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where percentage = '5.4%' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>governorate</th>
<th>percentage</th>
<th>seats won</th>
<th>total seats</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>al-anbar</td>
<td>none</td>
<td>0</td>
<td>29</td>
</tr>
<tr>
<th>1</th>
<td>babil</td>
<td>8.2%</td>
<td>5</td>
<td>30</td>
</tr>
<tr>
<th>2</th>
<td>baghdad</td>
<td>5.4%</td>
<td>3</td>
<td>57</td>
</tr>
<tr>
<th>3</th>
<td>basra</td>
<td>11.6%</td>
<td>5</td>
<td>35</td>
</tr>
<tr>
<th>4</th>
<td>dhi qar</td>
<td>11.1%</td>
<td>5</td>
<td>31</td>
</tr>
<tr>
<th>5</th>
<td>diyala</td>
<td>none</td>
<td>0</td>
<td>29</td>
</tr>
<tr>
<th>6</th>
<td>karbala</td>
<td>6.4%</td>
<td>4</td>
<td>27</td>
</tr>
<tr>
<th>7</th>
<td>maysan</td>
<td>15.2%</td>
<td>7</td>
<td>27</td>
</tr>
<tr>
<th>8</th>
<td>al-muthanna</td>
<td>9.3%</td>
<td>5</td>
<td>26</td>
</tr>
<tr>
<th>9</th>
<td>najaf</td>
<td>14.8%</td>
<td>7</td>
<td>28</td>
</tr>
<tr>
<th>10</th>
<td>ninawa</td>
<td>1.9%</td>
<td>0</td>
<td>37</td>
</tr>
<tr>
<th>11</th>
<td>al-qadisiyyah</td>
<td>11.7%</td>
<td>4</td>
<td>28</td>
</tr>
<tr>
<th>12</th>
<td>salah ad-din</td>
<td>2.9%</td>
<td>1</td>
<td>28</td>
</tr>
<tr>
<th>13</th>
<td>wassit</td>
<td>10.0%</td>
<td>6</td>
<td>28</td>
</tr>
<tr>
<th>14</th>
<td>total</td>
<td>6.6%</td>
<td>52</td>
<td>440</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( * ) where percentage = '5.4%' <table_name> : table | | governorate | percentage | seats won | total seats |
|---:|:--------------|:-------------|------------:|--------------:|
| 0 | al-anbar | none | 0 | 29 |
| 1 | babil | 8.2% | 5 | 30 |
| 2 | baghdad | 5.4% | 3 | 57 |
| 3 | basra | 11.6% | 5 | 35 |
| 4 | dhi qar | 11.1% | 5 | 31 |
| 5 | diyala | none | 0 | 29 |
| 6 | karbala | 6.4% | 4 | 27 |
| 7 | maysan | 15.2% | 7 | 27 |
| 8 | al-muthanna | 9.3% | 5 | 26 |
| 9 | najaf | 14.8% | 7 | 28 |
| 10 | ninawa | 1.9% | 0 | 37 |
| 11 | al-qadisiyyah | 11.7% | 4 | 28 |
| 12 | salah ad-din | 2.9% | 1 | 28 |
| 13 | wassit | 10.0% | 6 | 28 |
| 14 | total | 6.6% | 52 | 440 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select conference where attendance < 1791 col : conference | date | place | attendance | archive of presentations row 1 : wikimania 2005 | 2007-08-05 00:00:00 | frankfurt, germany | 380 | slides, video row 2 : wikimania 2006 | 2006-08-04 00:00:00 | cambridge, united states | 400 | slides and papers, video row 3 : wikimania 2007 | 2005-08-03 00:00:00 | taipei, roc (taiwan) | 440 | commons gallery row 4 : wikimania 2008 | 2019-07-17 00:00:00 | alexandria, egypt | 650 | abstracts, slides,video row 5 : wikimania 2009 | 2028-08-26 00:00:00 | buenos aires, argentina | 559 | slides, video row 6 : wikimania 2010 | 2011-07-09 00:00:00 | gdansk, poland | about 500 | slides row 7 : wikimania 2011 | 2007-08-04 00:00:00 | haifa, israel | 720 | presentations, video row 8 : wikimania 2012 | 2015-07-12 00:00:00 | washington, d.c., united states | 1400 | presentations, videos row 9 : wikimania 2013 | 2011-08-07 00:00:00 | hong kong | 700 | presentations, videos row 10 : wikimania 2014 | 2010-08-06 00:00:00 | london, united kingdom | none | none | col : conference row 1 : wikimania 2012 | select conference where attendance < 1791 <table_name> : table \begin{tabular}{llllll}
\toprule
& conference & date & place & attendance & archive of presentations \\
\midrule
0 & wikimania 2005 & 2007-08-05 00:00:00 & frankfurt, germany & 380 & slides, video \\
1 & wikimania 2006 & 2006-08-04 00:00:00 & cambridge, united states & 400 & slides and papers, video \\
2 & wikimania 2007 & 2005-08-03 00:00:00 & taipei, roc (taiwan) & 440 & commons gallery \\
3 & wikimania 2008 & 2019-07-17 00:00:00 & alexandria, egypt & 650 & abstracts, slides,video \\
4 & wikimania 2009 & 2028-08-26 00:00:00 & buenos aires, argentina & 559 & slides, video \\
5 & wikimania 2010 & 2011-07-09 00:00:00 & gdansk, poland & about 500 & slides \\
6 & wikimania 2011 & 2007-08-04 00:00:00 & haifa, israel & 720 & presentations, video \\
7 & wikimania 2012 & 2015-07-12 00:00:00 & washington, d.c., united states & 1400 & presentations, videos \\
8 & wikimania 2013 & 2011-08-07 00:00:00 & hong kong & 700 & presentations, videos \\
9 & wikimania 2014 & 2010-08-06 00:00:00 & london, united kingdom & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& conference \\
\midrule
0 & wikimania 2012 \\
\bottomrule
\end{tabular}
| select conference where attendance < 1791 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>conference</th>
<th>date</th>
<th>place</th>
<th>attendance</th>
<th>archive of presentations</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>wikimania 2005</td>
<td>2007-08-05 00:00:00</td>
<td>frankfurt, germany</td>
<td>380</td>
<td>slides, video</td>
</tr>
<tr>
<th>1</th>
<td>wikimania 2006</td>
<td>2006-08-04 00:00:00</td>
<td>cambridge, united states</td>
<td>400</td>
<td>slides and papers, video</td>
</tr>
<tr>
<th>2</th>
<td>wikimania 2007</td>
<td>2005-08-03 00:00:00</td>
<td>taipei, roc (taiwan)</td>
<td>440</td>
<td>commons gallery</td>
</tr>
<tr>
<th>3</th>
<td>wikimania 2008</td>
<td>2019-07-17 00:00:00</td>
<td>alexandria, egypt</td>
<td>650</td>
<td>abstracts, slides,video</td>
</tr>
<tr>
<th>4</th>
<td>wikimania 2009</td>
<td>2028-08-26 00:00:00</td>
<td>buenos aires, argentina</td>
<td>559</td>
<td>slides, video</td>
</tr>
<tr>
<th>5</th>
<td>wikimania 2010</td>
<td>2011-07-09 00:00:00</td>
<td>gdansk, poland</td>
<td>about 500</td>
<td>slides</td>
</tr>
<tr>
<th>6</th>
<td>wikimania 2011</td>
<td>2007-08-04 00:00:00</td>
<td>haifa, israel</td>
<td>720</td>
<td>presentations, video</td>
</tr>
<tr>
<th>7</th>
<td>wikimania 2012</td>
<td>2015-07-12 00:00:00</td>
<td>washington, d.c., united states</td>
<td>1400</td>
<td>presentations, videos</td>
</tr>
<tr>
<th>8</th>
<td>wikimania 2013</td>
<td>2011-08-07 00:00:00</td>
<td>hong kong</td>
<td>700</td>
<td>presentations, videos</td>
</tr>
<tr>
<th>9</th>
<td>wikimania 2014</td>
<td>2010-08-06 00:00:00</td>
<td>london, united kingdom</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>conference</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>wikimania 2012</td>
</tr>
</tbody>
</table> | select conference where attendance < 1791 <table_name> : table | | conference | date | place | attendance | archive of presentations |
|---:|:---------------|:--------------------|:--------------------------------|:-------------|:---------------------------|
| 0 | wikimania 2005 | 2007-08-05 00:00:00 | frankfurt, germany | 380 | slides, video |
| 1 | wikimania 2006 | 2006-08-04 00:00:00 | cambridge, united states | 400 | slides and papers, video |
| 2 | wikimania 2007 | 2005-08-03 00:00:00 | taipei, roc (taiwan) | 440 | commons gallery |
| 3 | wikimania 2008 | 2019-07-17 00:00:00 | alexandria, egypt | 650 | abstracts, slides,video |
| 4 | wikimania 2009 | 2028-08-26 00:00:00 | buenos aires, argentina | 559 | slides, video |
| 5 | wikimania 2010 | 2011-07-09 00:00:00 | gdansk, poland | about 500 | slides |
| 6 | wikimania 2011 | 2007-08-04 00:00:00 | haifa, israel | 720 | presentations, video |
| 7 | wikimania 2012 | 2015-07-12 00:00:00 | washington, d.c., united states | 1400 | presentations, videos |
| 8 | wikimania 2013 | 2011-08-07 00:00:00 | hong kong | 700 | presentations, videos |
| 9 | wikimania 2014 | 2010-08-06 00:00:00 | london, united kingdom | none | none | | | | conference |
|---:|:---------------|
| 0 | wikimania 2012 | | [
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select population center where township = 'jefferson' col : township | fips | population center | population | population density /km2 (/sq mi) | land area km2 (sq mi) | water area km2 (sq mi) | water % | geographic coordinates row 1 : belleville | 5575 | none | 675 | 4 (11) | 155 (60) | 0 (0) | 0.14% | 37°3′50′′n 96°7′48′′w / 37.06389°n 96.13000°w row 2 : caneyville | 10425 | none | 88 | 1 (2) | 144 (55) | 1 (0) | 0.38% | 37°15′23′′n 96°27′27′′w / 37.25639°n 96.45750°w row 3 : center | 11575 | none | 75 | 1 (1) | 144 (56) | 1 (0) | 0.80% | 37°15′28′′n 96°18′31′′w / 37.25778°n 96.30861°w row 4 : harrison | 30275 | none | 114 | 1 (2) | 142 (55) | 0 (0) | 0.14% | 37°4′3′′n 96°26′32′′w / 37.06750°n 96.44222°w row 5 : hendricks | 31300 | none | 179 | 1 (3) | 142 (55) | 0 (0) | 0.05% | 37°1′12′′n 96°18′42′′w / 37.02000°n 96.31167°w row 6 : jefferson | 35125 | cedar vale | 834 | 6 (15) | 144 (56) | 1 (0) | 0.45% | 37°6′45′′n 96°29′12′′w / 37.11250°n 96.48667°w row 7 : lafayette | 37650 | none | 65 | 0 (1) | 154 (59) | 2 (1) | 1.40% | 37°15′36′′n 96°10′20′′w / 37.26000°n 96.17222°w row 8 : little caney | 41525 | none | 353 | 3 (8) | 117 (45) | 0 (0) | 0.31% | 37°3′51′′n 96°1′5′′w / 37.06417°n 96.01806°w row 9 : salt creek | 62775 | none | 123 | 1 (3) | 127 (49) | 0 (0) | 0.34% | 37°15′13′′n 96°1′34′′w / 37.25361°n 96.02611°w row 10 : sedan | 63775 | sedan | 1660 | 13 (34) | 128 (49) | 1 (0) | 0.65% | 37°7′50′′n 96°11′6′′w / 37.13056°n 96.18500°w row 11 : summit | 69025 | none | 106 | 1 (2) | 144 (56) | 1 (0) | 0.40% | 37°8′17′′n 96°19′53′′w / 37.13806°n 96.33139°w row 12 : washington | 75550 | none | 87 | 1 (2) | 121 (47) | 1 (0) | 0.71% | 37°7′41′′n 96°0′52′′w / 37.12806°n 96.01444°w | col : population center row 1 : cedar vale | select population center where township = 'jefferson' <table_name> : table \begin{tabular}{llllllllll}
\toprule
& township & fips & population center & population & population density /km2 (/sq mi) & land area km2 (sq mi) & water area km2 (sq mi) & water % & geographic coordinates \\
\midrule
0 & belleville & 5575 & none & 675 & 4 (11) & 155 (60) & 0 (0) & 0.14% & 37°3′50′′n 96°7′48′′w / 37.06389°n 96.13000°w \\
1 & caneyville & 10425 & none & 88 & 1 (2) & 144 (55) & 1 (0) & 0.38% & 37°15′23′′n 96°27′27′′w / 37.25639°n 96.45750°w \\
2 & center & 11575 & none & 75 & 1 (1) & 144 (56) & 1 (0) & 0.80% & 37°15′28′′n 96°18′31′′w / 37.25778°n 96.30861°w \\
3 & harrison & 30275 & none & 114 & 1 (2) & 142 (55) & 0 (0) & 0.14% & 37°4′3′′n 96°26′32′′w / 37.06750°n 96.44222°w \\
4 & hendricks & 31300 & none & 179 & 1 (3) & 142 (55) & 0 (0) & 0.05% & 37°1′12′′n 96°18′42′′w / 37.02000°n 96.31167°w \\
5 & jefferson & 35125 & cedar vale & 834 & 6 (15) & 144 (56) & 1 (0) & 0.45% & 37°6′45′′n 96°29′12′′w / 37.11250°n 96.48667°w \\
6 & lafayette & 37650 & none & 65 & 0 (1) & 154 (59) & 2 (1) & 1.40% & 37°15′36′′n 96°10′20′′w / 37.26000°n 96.17222°w \\
7 & little caney & 41525 & none & 353 & 3 (8) & 117 (45) & 0 (0) & 0.31% & 37°3′51′′n 96°1′5′′w / 37.06417°n 96.01806°w \\
8 & salt creek & 62775 & none & 123 & 1 (3) & 127 (49) & 0 (0) & 0.34% & 37°15′13′′n 96°1′34′′w / 37.25361°n 96.02611°w \\
9 & sedan & 63775 & sedan & 1660 & 13 (34) & 128 (49) & 1 (0) & 0.65% & 37°7′50′′n 96°11′6′′w / 37.13056°n 96.18500°w \\
10 & summit & 69025 & none & 106 & 1 (2) & 144 (56) & 1 (0) & 0.40% & 37°8′17′′n 96°19′53′′w / 37.13806°n 96.33139°w \\
11 & washington & 75550 & none & 87 & 1 (2) & 121 (47) & 1 (0) & 0.71% & 37°7′41′′n 96°0′52′′w / 37.12806°n 96.01444°w \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& population center \\
\midrule
0 & cedar vale \\
\bottomrule
\end{tabular}
| select population center where township = 'jefferson' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>township</th>
<th>fips</th>
<th>population center</th>
<th>population</th>
<th>population density /km2 (/sq mi)</th>
<th>land area km2 (sq mi)</th>
<th>water area km2 (sq mi)</th>
<th>water %</th>
<th>geographic coordinates</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>belleville</td>
<td>5575</td>
<td>none</td>
<td>675</td>
<td>4 (11)</td>
<td>155 (60)</td>
<td>0 (0)</td>
<td>0.14%</td>
<td>37°3′50′′n 96°7′48′′w / 37.06389°n 96.13000°w</td>
</tr>
<tr>
<th>1</th>
<td>caneyville</td>
<td>10425</td>
<td>none</td>
<td>88</td>
<td>1 (2)</td>
<td>144 (55)</td>
<td>1 (0)</td>
<td>0.38%</td>
<td>37°15′23′′n 96°27′27′′w / 37.25639°n 96.45750°w</td>
</tr>
<tr>
<th>2</th>
<td>center</td>
<td>11575</td>
<td>none</td>
<td>75</td>
<td>1 (1)</td>
<td>144 (56)</td>
<td>1 (0)</td>
<td>0.80%</td>
<td>37°15′28′′n 96°18′31′′w / 37.25778°n 96.30861°w</td>
</tr>
<tr>
<th>3</th>
<td>harrison</td>
<td>30275</td>
<td>none</td>
<td>114</td>
<td>1 (2)</td>
<td>142 (55)</td>
<td>0 (0)</td>
<td>0.14%</td>
<td>37°4′3′′n 96°26′32′′w / 37.06750°n 96.44222°w</td>
</tr>
<tr>
<th>4</th>
<td>hendricks</td>
<td>31300</td>
<td>none</td>
<td>179</td>
<td>1 (3)</td>
<td>142 (55)</td>
<td>0 (0)</td>
<td>0.05%</td>
<td>37°1′12′′n 96°18′42′′w / 37.02000°n 96.31167°w</td>
</tr>
<tr>
<th>5</th>
<td>jefferson</td>
<td>35125</td>
<td>cedar vale</td>
<td>834</td>
<td>6 (15)</td>
<td>144 (56)</td>
<td>1 (0)</td>
<td>0.45%</td>
<td>37°6′45′′n 96°29′12′′w / 37.11250°n 96.48667°w</td>
</tr>
<tr>
<th>6</th>
<td>lafayette</td>
<td>37650</td>
<td>none</td>
<td>65</td>
<td>0 (1)</td>
<td>154 (59)</td>
<td>2 (1)</td>
<td>1.40%</td>
<td>37°15′36′′n 96°10′20′′w / 37.26000°n 96.17222°w</td>
</tr>
<tr>
<th>7</th>
<td>little caney</td>
<td>41525</td>
<td>none</td>
<td>353</td>
<td>3 (8)</td>
<td>117 (45)</td>
<td>0 (0)</td>
<td>0.31%</td>
<td>37°3′51′′n 96°1′5′′w / 37.06417°n 96.01806°w</td>
</tr>
<tr>
<th>8</th>
<td>salt creek</td>
<td>62775</td>
<td>none</td>
<td>123</td>
<td>1 (3)</td>
<td>127 (49)</td>
<td>0 (0)</td>
<td>0.34%</td>
<td>37°15′13′′n 96°1′34′′w / 37.25361°n 96.02611°w</td>
</tr>
<tr>
<th>9</th>
<td>sedan</td>
<td>63775</td>
<td>sedan</td>
<td>1660</td>
<td>13 (34)</td>
<td>128 (49)</td>
<td>1 (0)</td>
<td>0.65%</td>
<td>37°7′50′′n 96°11′6′′w / 37.13056°n 96.18500°w</td>
</tr>
<tr>
<th>10</th>
<td>summit</td>
<td>69025</td>
<td>none</td>
<td>106</td>
<td>1 (2)</td>
<td>144 (56)</td>
<td>1 (0)</td>
<td>0.40%</td>
<td>37°8′17′′n 96°19′53′′w / 37.13806°n 96.33139°w</td>
</tr>
<tr>
<th>11</th>
<td>washington</td>
<td>75550</td>
<td>none</td>
<td>87</td>
<td>1 (2)</td>
<td>121 (47)</td>
<td>1 (0)</td>
<td>0.71%</td>
<td>37°7′41′′n 96°0′52′′w / 37.12806°n 96.01444°w</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>population center</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>cedar vale</td>
</tr>
</tbody>
</table> | select population center where township = 'jefferson' <table_name> : table | | township | fips | population center | population | population density /km2 (/sq mi) | land area km2 (sq mi) | water area km2 (sq mi) | water % | geographic coordinates |
|---:|:-------------|-------:|:--------------------|-------------:|:-----------------------------------|:------------------------|:-------------------------|:----------|:------------------------------------------------|
| 0 | belleville | 5575 | none | 675 | 4 (11) | 155 (60) | 0 (0) | 0.14% | 37°3′50′′n 96°7′48′′w / 37.06389°n 96.13000°w |
| 1 | caneyville | 10425 | none | 88 | 1 (2) | 144 (55) | 1 (0) | 0.38% | 37°15′23′′n 96°27′27′′w / 37.25639°n 96.45750°w |
| 2 | center | 11575 | none | 75 | 1 (1) | 144 (56) | 1 (0) | 0.80% | 37°15′28′′n 96°18′31′′w / 37.25778°n 96.30861°w |
| 3 | harrison | 30275 | none | 114 | 1 (2) | 142 (55) | 0 (0) | 0.14% | 37°4′3′′n 96°26′32′′w / 37.06750°n 96.44222°w |
| 4 | hendricks | 31300 | none | 179 | 1 (3) | 142 (55) | 0 (0) | 0.05% | 37°1′12′′n 96°18′42′′w / 37.02000°n 96.31167°w |
| 5 | jefferson | 35125 | cedar vale | 834 | 6 (15) | 144 (56) | 1 (0) | 0.45% | 37°6′45′′n 96°29′12′′w / 37.11250°n 96.48667°w |
| 6 | lafayette | 37650 | none | 65 | 0 (1) | 154 (59) | 2 (1) | 1.40% | 37°15′36′′n 96°10′20′′w / 37.26000°n 96.17222°w |
| 7 | little caney | 41525 | none | 353 | 3 (8) | 117 (45) | 0 (0) | 0.31% | 37°3′51′′n 96°1′5′′w / 37.06417°n 96.01806°w |
| 8 | salt creek | 62775 | none | 123 | 1 (3) | 127 (49) | 0 (0) | 0.34% | 37°15′13′′n 96°1′34′′w / 37.25361°n 96.02611°w |
| 9 | sedan | 63775 | sedan | 1660 | 13 (34) | 128 (49) | 1 (0) | 0.65% | 37°7′50′′n 96°11′6′′w / 37.13056°n 96.18500°w |
| 10 | summit | 69025 | none | 106 | 1 (2) | 144 (56) | 1 (0) | 0.40% | 37°8′17′′n 96°19′53′′w / 37.13806°n 96.33139°w |
| 11 | washington | 75550 | none | 87 | 1 (2) | 121 (47) | 1 (0) | 0.71% | 37°7′41′′n 96°0′52′′w / 37.12806°n 96.01444°w | | | | population center |
|---:|:--------------------|
| 0 | cedar vale | | [
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select titles where team = 'hapoel holon' col : place | team | titles | runners-up | winning years row 1 : 1 | maccabi tel aviv | 5 | 1 | 2007, 2010, 2011, 2012, 2013 row 2 : 2 | hapoel jerusalem | 2 | 3 | 2008, 2009 row 3 : 3 | ironi ashkelon | 1 | 0 | 2006 row 4 : 4 | maccabi rishon lezion | 0 | 1 | none row 5 : 4 | ironi nahariya | 0 | 1 | none row 6 : 4 | hapoel holon | 0 | 1 | none row 7 : 4 | maccabi ashdod | 0 | 1 | none | col : titles row 1 : 0 | select titles where team = 'hapoel holon' <table_name> : table \begin{tabular}{llllll}
\toprule
& place & team & titles & runners-up & winning years \\
\midrule
0 & 1 & maccabi tel aviv & 5 & 1 & 2007, 2010, 2011, 2012, 2013 \\
1 & 2 & hapoel jerusalem & 2 & 3 & 2008, 2009 \\
2 & 3 & ironi ashkelon & 1 & 0 & 2006 \\
3 & 4 & maccabi rishon lezion & 0 & 1 & none \\
4 & 4 & ironi nahariya & 0 & 1 & none \\
5 & 4 & hapoel holon & 0 & 1 & none \\
6 & 4 & maccabi ashdod & 0 & 1 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& titles \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select titles where team = 'hapoel holon' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>place</th>
<th>team</th>
<th>titles</th>
<th>runners-up</th>
<th>winning years</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>maccabi tel aviv</td>
<td>5</td>
<td>1</td>
<td>2007, 2010, 2011, 2012, 2013</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>hapoel jerusalem</td>
<td>2</td>
<td>3</td>
<td>2008, 2009</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>ironi ashkelon</td>
<td>1</td>
<td>0</td>
<td>2006</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>maccabi rishon lezion</td>
<td>0</td>
<td>1</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>4</td>
<td>ironi nahariya</td>
<td>0</td>
<td>1</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>4</td>
<td>hapoel holon</td>
<td>0</td>
<td>1</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>4</td>
<td>maccabi ashdod</td>
<td>0</td>
<td>1</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>titles</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select titles where team = 'hapoel holon' <table_name> : table | | place | team | titles | runners-up | winning years |
|---:|--------:|:----------------------|---------:|-------------:|:-----------------------------|
| 0 | 1 | maccabi tel aviv | 5 | 1 | 2007, 2010, 2011, 2012, 2013 |
| 1 | 2 | hapoel jerusalem | 2 | 3 | 2008, 2009 |
| 2 | 3 | ironi ashkelon | 1 | 0 | 2006 |
| 3 | 4 | maccabi rishon lezion | 0 | 1 | none |
| 4 | 4 | ironi nahariya | 0 | 1 | none |
| 5 | 4 | hapoel holon | 0 | 1 | none |
| 6 | 4 | maccabi ashdod | 0 | 1 | none | | | | titles |
|---:|---------:|
| 0 | 0 | | [
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] |
select count ( * ) where ethnicity = 'greek' col : ethnicity | 1880 | 1899 | 1913 | 19301 | 1956 | 1966 | 1977 | 1992 | 2002 row 1 : all | 139671 | 258242 | 380430 | 437131 | 593659 | 702461 | 863348 | 1019766 | 971643 row 2 : romanian | 43,671 (31%) | 118,919 (46%) | 216,425 (56.8%) | 282,844 (64.7%) | 514,331 (86.6%) | 622,996 (88.7%) | 784,934 (90.9%) | 926,608 (90.8%) | 883,620 (90.9%) row 3 : bulgarian | 24,915 (17%) | 38,439 (14%) | 51,149 (13.4%) | 42,070 (9.6%) | 749 (0.13%) | 524 (0.07%) | 415 (0.05%) | 311 (0.03%) | 135 (0.01%) row 4 : turkish | 18,624 (13%) | 12,146 (4%) | 20,092 (5.3%) | 21,748 (5%) | 11,994 (2%) | 16,209 (2.3%) | 21,666 (2.5%) | 27,685 (2.7%) | 27,580 (2.8%) row 5 : tatar | 29,476 (21%) | 28,670 (11%) | 21,350 (5.6%) | 15,546 (3.6%) | 20,239 (3.4%) | 21,939 (3.1%) | 22,875 (2.65%) | 24,185 (2.4%) | 23,409 (2.4%) row 6 : russian-lipovan | 8,250 (6%) | 12,801 (5%) | 35,859 (9.4%) | 26,210 (6%) | 29,944 (5%) | 30,509 (4.35%) | 24,098 (2.8%) | 26,154 (2.6%) | 21,623 (2.2%) row 7 : ruthenian (ukrainian from 1956) | 455 (0.3%) | 13,680 (5%) | 35,859 (9.4%) | 33 (0.01%) | 7,025 (1.18%) | 5,154 (0.73%) | 2,639 (0.3%) | 4,101 (0.4%) | 1,465 (0.1%) row 8 : dobrujan germans | 2,461 (1.7%) | 8,566 (3%) | 7,697 (2%) | 12,023 (2.75%) | 735 (0.12%) | 599 (0.09%) | 648 (0.08%) | 677 (0.07%) | 398 (0.04%) row 9 : greek | 4,015 (2.8%) | 8,445 (3%) | 9,999 (2.6%) | 7,743 (1.8%) | 1,399 (0.24%) | 908 (0.13%) | 635 (0.07%) | 1,230 (0.12%) | 2,270 (0.23%) row 10 : roma | 702 (0.5%) | 2,252 (0.87%) | 3,263 (0.9%) | 3,831 (0.88%) | 1,176 (0.2%) | 378 (0.05%) | 2,565 (0.3%) | 5,983 (0.59%) | 8,295 (0.85%) | col : count ( "*" ) row 1 : 1 | select count ( * ) where ethnicity = 'greek' <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& ethnicity & 1880 & 1899 & 1913 & 19301 & 1956 & 1966 & 1977 & 1992 & 2002 \\
\midrule
0 & all & 139671 & 258242 & 380430 & 437131 & 593659 & 702461 & 863348 & 1019766 & 971643 \\
1 & romanian & 43,671 (31%) & 118,919 (46%) & 216,425 (56.8%) & 282,844 (64.7%) & 514,331 (86.6%) & 622,996 (88.7%) & 784,934 (90.9%) & 926,608 (90.8%) & 883,620 (90.9%) \\
2 & bulgarian & 24,915 (17%) & 38,439 (14%) & 51,149 (13.4%) & 42,070 (9.6%) & 749 (0.13%) & 524 (0.07%) & 415 (0.05%) & 311 (0.03%) & 135 (0.01%) \\
3 & turkish & 18,624 (13%) & 12,146 (4%) & 20,092 (5.3%) & 21,748 (5%) & 11,994 (2%) & 16,209 (2.3%) & 21,666 (2.5%) & 27,685 (2.7%) & 27,580 (2.8%) \\
4 & tatar & 29,476 (21%) & 28,670 (11%) & 21,350 (5.6%) & 15,546 (3.6%) & 20,239 (3.4%) & 21,939 (3.1%) & 22,875 (2.65%) & 24,185 (2.4%) & 23,409 (2.4%) \\
5 & russian-lipovan & 8,250 (6%) & 12,801 (5%) & 35,859 (9.4%) & 26,210 (6%) & 29,944 (5%) & 30,509 (4.35%) & 24,098 (2.8%) & 26,154 (2.6%) & 21,623 (2.2%) \\
6 & ruthenian (ukrainian from 1956) & 455 (0.3%) & 13,680 (5%) & 35,859 (9.4%) & 33 (0.01%) & 7,025 (1.18%) & 5,154 (0.73%) & 2,639 (0.3%) & 4,101 (0.4%) & 1,465 (0.1%) \\
7 & dobrujan germans & 2,461 (1.7%) & 8,566 (3%) & 7,697 (2%) & 12,023 (2.75%) & 735 (0.12%) & 599 (0.09%) & 648 (0.08%) & 677 (0.07%) & 398 (0.04%) \\
8 & greek & 4,015 (2.8%) & 8,445 (3%) & 9,999 (2.6%) & 7,743 (1.8%) & 1,399 (0.24%) & 908 (0.13%) & 635 (0.07%) & 1,230 (0.12%) & 2,270 (0.23%) \\
9 & roma & 702 (0.5%) & 2,252 (0.87%) & 3,263 (0.9%) & 3,831 (0.88%) & 1,176 (0.2%) & 378 (0.05%) & 2,565 (0.3%) & 5,983 (0.59%) & 8,295 (0.85%) \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where ethnicity = 'greek' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>ethnicity</th>
<th>1880</th>
<th>1899</th>
<th>1913</th>
<th>19301</th>
<th>1956</th>
<th>1966</th>
<th>1977</th>
<th>1992</th>
<th>2002</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>all</td>
<td>139671</td>
<td>258242</td>
<td>380430</td>
<td>437131</td>
<td>593659</td>
<td>702461</td>
<td>863348</td>
<td>1019766</td>
<td>971643</td>
</tr>
<tr>
<th>1</th>
<td>romanian</td>
<td>43,671 (31%)</td>
<td>118,919 (46%)</td>
<td>216,425 (56.8%)</td>
<td>282,844 (64.7%)</td>
<td>514,331 (86.6%)</td>
<td>622,996 (88.7%)</td>
<td>784,934 (90.9%)</td>
<td>926,608 (90.8%)</td>
<td>883,620 (90.9%)</td>
</tr>
<tr>
<th>2</th>
<td>bulgarian</td>
<td>24,915 (17%)</td>
<td>38,439 (14%)</td>
<td>51,149 (13.4%)</td>
<td>42,070 (9.6%)</td>
<td>749 (0.13%)</td>
<td>524 (0.07%)</td>
<td>415 (0.05%)</td>
<td>311 (0.03%)</td>
<td>135 (0.01%)</td>
</tr>
<tr>
<th>3</th>
<td>turkish</td>
<td>18,624 (13%)</td>
<td>12,146 (4%)</td>
<td>20,092 (5.3%)</td>
<td>21,748 (5%)</td>
<td>11,994 (2%)</td>
<td>16,209 (2.3%)</td>
<td>21,666 (2.5%)</td>
<td>27,685 (2.7%)</td>
<td>27,580 (2.8%)</td>
</tr>
<tr>
<th>4</th>
<td>tatar</td>
<td>29,476 (21%)</td>
<td>28,670 (11%)</td>
<td>21,350 (5.6%)</td>
<td>15,546 (3.6%)</td>
<td>20,239 (3.4%)</td>
<td>21,939 (3.1%)</td>
<td>22,875 (2.65%)</td>
<td>24,185 (2.4%)</td>
<td>23,409 (2.4%)</td>
</tr>
<tr>
<th>5</th>
<td>russian-lipovan</td>
<td>8,250 (6%)</td>
<td>12,801 (5%)</td>
<td>35,859 (9.4%)</td>
<td>26,210 (6%)</td>
<td>29,944 (5%)</td>
<td>30,509 (4.35%)</td>
<td>24,098 (2.8%)</td>
<td>26,154 (2.6%)</td>
<td>21,623 (2.2%)</td>
</tr>
<tr>
<th>6</th>
<td>ruthenian (ukrainian from 1956)</td>
<td>455 (0.3%)</td>
<td>13,680 (5%)</td>
<td>35,859 (9.4%)</td>
<td>33 (0.01%)</td>
<td>7,025 (1.18%)</td>
<td>5,154 (0.73%)</td>
<td>2,639 (0.3%)</td>
<td>4,101 (0.4%)</td>
<td>1,465 (0.1%)</td>
</tr>
<tr>
<th>7</th>
<td>dobrujan germans</td>
<td>2,461 (1.7%)</td>
<td>8,566 (3%)</td>
<td>7,697 (2%)</td>
<td>12,023 (2.75%)</td>
<td>735 (0.12%)</td>
<td>599 (0.09%)</td>
<td>648 (0.08%)</td>
<td>677 (0.07%)</td>
<td>398 (0.04%)</td>
</tr>
<tr>
<th>8</th>
<td>greek</td>
<td>4,015 (2.8%)</td>
<td>8,445 (3%)</td>
<td>9,999 (2.6%)</td>
<td>7,743 (1.8%)</td>
<td>1,399 (0.24%)</td>
<td>908 (0.13%)</td>
<td>635 (0.07%)</td>
<td>1,230 (0.12%)</td>
<td>2,270 (0.23%)</td>
</tr>
<tr>
<th>9</th>
<td>roma</td>
<td>702 (0.5%)</td>
<td>2,252 (0.87%)</td>
<td>3,263 (0.9%)</td>
<td>3,831 (0.88%)</td>
<td>1,176 (0.2%)</td>
<td>378 (0.05%)</td>
<td>2,565 (0.3%)</td>
<td>5,983 (0.59%)</td>
<td>8,295 (0.85%)</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( * ) where ethnicity = 'greek' <table_name> : table | | ethnicity | 1880 | 1899 | 1913 | 19301 | 1956 | 1966 | 1977 | 1992 | 2002 |
|---:|:--------------------------------|:-------------|:--------------|:----------------|:----------------|:----------------|:----------------|:----------------|:----------------|:----------------|
| 0 | all | 139671 | 258242 | 380430 | 437131 | 593659 | 702461 | 863348 | 1019766 | 971643 |
| 1 | romanian | 43,671 (31%) | 118,919 (46%) | 216,425 (56.8%) | 282,844 (64.7%) | 514,331 (86.6%) | 622,996 (88.7%) | 784,934 (90.9%) | 926,608 (90.8%) | 883,620 (90.9%) |
| 2 | bulgarian | 24,915 (17%) | 38,439 (14%) | 51,149 (13.4%) | 42,070 (9.6%) | 749 (0.13%) | 524 (0.07%) | 415 (0.05%) | 311 (0.03%) | 135 (0.01%) |
| 3 | turkish | 18,624 (13%) | 12,146 (4%) | 20,092 (5.3%) | 21,748 (5%) | 11,994 (2%) | 16,209 (2.3%) | 21,666 (2.5%) | 27,685 (2.7%) | 27,580 (2.8%) |
| 4 | tatar | 29,476 (21%) | 28,670 (11%) | 21,350 (5.6%) | 15,546 (3.6%) | 20,239 (3.4%) | 21,939 (3.1%) | 22,875 (2.65%) | 24,185 (2.4%) | 23,409 (2.4%) |
| 5 | russian-lipovan | 8,250 (6%) | 12,801 (5%) | 35,859 (9.4%) | 26,210 (6%) | 29,944 (5%) | 30,509 (4.35%) | 24,098 (2.8%) | 26,154 (2.6%) | 21,623 (2.2%) |
| 6 | ruthenian (ukrainian from 1956) | 455 (0.3%) | 13,680 (5%) | 35,859 (9.4%) | 33 (0.01%) | 7,025 (1.18%) | 5,154 (0.73%) | 2,639 (0.3%) | 4,101 (0.4%) | 1,465 (0.1%) |
| 7 | dobrujan germans | 2,461 (1.7%) | 8,566 (3%) | 7,697 (2%) | 12,023 (2.75%) | 735 (0.12%) | 599 (0.09%) | 648 (0.08%) | 677 (0.07%) | 398 (0.04%) |
| 8 | greek | 4,015 (2.8%) | 8,445 (3%) | 9,999 (2.6%) | 7,743 (1.8%) | 1,399 (0.24%) | 908 (0.13%) | 635 (0.07%) | 1,230 (0.12%) | 2,270 (0.23%) |
| 9 | roma | 702 (0.5%) | 2,252 (0.87%) | 3,263 (0.9%) | 3,831 (0.88%) | 1,176 (0.2%) | 378 (0.05%) | 2,565 (0.3%) | 5,983 (0.59%) | 8,295 (0.85%) | | | | count ( "*" ) |
|---:|----------------:|
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select opponent where # = 108 col : # | date | opponent | score | win | loss | save | attendance | record row 1 : 106 | august 2 | pirates | 2-3 | rick white (4-5) | bobby munoz (7-4) | dan miceli (2) | 40164 | 51-55 row 2 : 107 | august 3 | pirates | 7-0 | danny jackson (14-5) | steve cooke (4-10) | none | 36542 | 52-55 row 3 : 108 | august 4 | pirates | 1-5 | jon lieber (6-6) | curt schilling (1-8) | none | 37481 | 52-56 row 4 : 109 | august 5 | expos | 0-5 | pedro martinez (10-5) | david west (4-9) | none | 33642 | 52-57 row 5 : 110 | august 6 | expos | 3-4 (11) | john wetteland (4-6) | doug jones (2-4) | jeff shaw (1) | 41699 | 52-58 row 6 : 111 | august 7 | expos | 4-6 | ken hill (16-5) | bobby munoz (7-5) | mel rojas (16) | 45346 | 52-59 row 7 : 112 | august 8 | mets | 2-3 | bobby j. jones (12-7) | danny jackson (14-6) | john franco (29) | 35977 | 52-60 row 8 : 113 | august 9 | mets | 5-1 | curt schilling (2-8) | mike remlinger (1-5) | none | 31740 | 53-60 row 9 : 114 | august 10 | mets | 2-6 | bret saberhagen (14-4) | david west (4-10) | john franco (30) | 36716 | 53-61 row 10 : 115 | august 11 | mets | 2-1 (15) | tom edens (5-1) | mauro gozzo (3-5) | none | 37605 | 54-61 | col : opponent row 1 : pirates | select opponent where # = 108 <table_name> : table \begin{tabular}{llllllllll}
\toprule
& # & date & opponent & score & win & loss & save & attendance & record \\
\midrule
0 & 106 & august 2 & pirates & 2-3 & rick white (4-5) & bobby munoz (7-4) & dan miceli (2) & 40164 & 51-55 \\
1 & 107 & august 3 & pirates & 7-0 & danny jackson (14-5) & steve cooke (4-10) & none & 36542 & 52-55 \\
2 & 108 & august 4 & pirates & 1-5 & jon lieber (6-6) & curt schilling (1-8) & none & 37481 & 52-56 \\
3 & 109 & august 5 & expos & 0-5 & pedro martinez (10-5) & david west (4-9) & none & 33642 & 52-57 \\
4 & 110 & august 6 & expos & 3-4 (11) & john wetteland (4-6) & doug jones (2-4) & jeff shaw (1) & 41699 & 52-58 \\
5 & 111 & august 7 & expos & 4-6 & ken hill (16-5) & bobby munoz (7-5) & mel rojas (16) & 45346 & 52-59 \\
6 & 112 & august 8 & mets & 2-3 & bobby j. jones (12-7) & danny jackson (14-6) & john franco (29) & 35977 & 52-60 \\
7 & 113 & august 9 & mets & 5-1 & curt schilling (2-8) & mike remlinger (1-5) & none & 31740 & 53-60 \\
8 & 114 & august 10 & mets & 2-6 & bret saberhagen (14-4) & david west (4-10) & john franco (30) & 36716 & 53-61 \\
9 & 115 & august 11 & mets & 2-1 (15) & tom edens (5-1) & mauro gozzo (3-5) & none & 37605 & 54-61 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& opponent \\
\midrule
0 & pirates \\
\bottomrule
\end{tabular}
| select opponent where # = 108 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>date</th>
<th>opponent</th>
<th>score</th>
<th>win</th>
<th>loss</th>
<th>save</th>
<th>attendance</th>
<th>record</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>106</td>
<td>august 2</td>
<td>pirates</td>
<td>2-3</td>
<td>rick white (4-5)</td>
<td>bobby munoz (7-4)</td>
<td>dan miceli (2)</td>
<td>40164</td>
<td>51-55</td>
</tr>
<tr>
<th>1</th>
<td>107</td>
<td>august 3</td>
<td>pirates</td>
<td>7-0</td>
<td>danny jackson (14-5)</td>
<td>steve cooke (4-10)</td>
<td>none</td>
<td>36542</td>
<td>52-55</td>
</tr>
<tr>
<th>2</th>
<td>108</td>
<td>august 4</td>
<td>pirates</td>
<td>1-5</td>
<td>jon lieber (6-6)</td>
<td>curt schilling (1-8)</td>
<td>none</td>
<td>37481</td>
<td>52-56</td>
</tr>
<tr>
<th>3</th>
<td>109</td>
<td>august 5</td>
<td>expos</td>
<td>0-5</td>
<td>pedro martinez (10-5)</td>
<td>david west (4-9)</td>
<td>none</td>
<td>33642</td>
<td>52-57</td>
</tr>
<tr>
<th>4</th>
<td>110</td>
<td>august 6</td>
<td>expos</td>
<td>3-4 (11)</td>
<td>john wetteland (4-6)</td>
<td>doug jones (2-4)</td>
<td>jeff shaw (1)</td>
<td>41699</td>
<td>52-58</td>
</tr>
<tr>
<th>5</th>
<td>111</td>
<td>august 7</td>
<td>expos</td>
<td>4-6</td>
<td>ken hill (16-5)</td>
<td>bobby munoz (7-5)</td>
<td>mel rojas (16)</td>
<td>45346</td>
<td>52-59</td>
</tr>
<tr>
<th>6</th>
<td>112</td>
<td>august 8</td>
<td>mets</td>
<td>2-3</td>
<td>bobby j. jones (12-7)</td>
<td>danny jackson (14-6)</td>
<td>john franco (29)</td>
<td>35977</td>
<td>52-60</td>
</tr>
<tr>
<th>7</th>
<td>113</td>
<td>august 9</td>
<td>mets</td>
<td>5-1</td>
<td>curt schilling (2-8)</td>
<td>mike remlinger (1-5)</td>
<td>none</td>
<td>31740</td>
<td>53-60</td>
</tr>
<tr>
<th>8</th>
<td>114</td>
<td>august 10</td>
<td>mets</td>
<td>2-6</td>
<td>bret saberhagen (14-4)</td>
<td>david west (4-10)</td>
<td>john franco (30)</td>
<td>36716</td>
<td>53-61</td>
</tr>
<tr>
<th>9</th>
<td>115</td>
<td>august 11</td>
<td>mets</td>
<td>2-1 (15)</td>
<td>tom edens (5-1)</td>
<td>mauro gozzo (3-5)</td>
<td>none</td>
<td>37605</td>
<td>54-61</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>opponent</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>pirates</td>
</tr>
</tbody>
</table> | select opponent where # = 108 <table_name> : table | | # | date | opponent | score | win | loss | save | attendance | record |
|---:|----:|:----------|:-----------|:---------|:-----------------------|:---------------------|:-----------------|-------------:|:---------|
| 0 | 106 | august 2 | pirates | 2-3 | rick white (4-5) | bobby munoz (7-4) | dan miceli (2) | 40164 | 51-55 |
| 1 | 107 | august 3 | pirates | 7-0 | danny jackson (14-5) | steve cooke (4-10) | none | 36542 | 52-55 |
| 2 | 108 | august 4 | pirates | 1-5 | jon lieber (6-6) | curt schilling (1-8) | none | 37481 | 52-56 |
| 3 | 109 | august 5 | expos | 0-5 | pedro martinez (10-5) | david west (4-9) | none | 33642 | 52-57 |
| 4 | 110 | august 6 | expos | 3-4 (11) | john wetteland (4-6) | doug jones (2-4) | jeff shaw (1) | 41699 | 52-58 |
| 5 | 111 | august 7 | expos | 4-6 | ken hill (16-5) | bobby munoz (7-5) | mel rojas (16) | 45346 | 52-59 |
| 6 | 112 | august 8 | mets | 2-3 | bobby j. jones (12-7) | danny jackson (14-6) | john franco (29) | 35977 | 52-60 |
| 7 | 113 | august 9 | mets | 5-1 | curt schilling (2-8) | mike remlinger (1-5) | none | 31740 | 53-60 |
| 8 | 114 | august 10 | mets | 2-6 | bret saberhagen (14-4) | david west (4-10) | john franco (30) | 36716 | 53-61 |
| 9 | 115 | august 11 | mets | 2-1 (15) | tom edens (5-1) | mauro gozzo (3-5) | none | 37605 | 54-61 | | | | opponent |
|---:|:-----------|
| 0 | pirates | | [
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select terminal where quay cranes > 8 col : terminal | operator | depth (m) | berths | quay length (m) | quay cranes | area (m2) | capacity (kteus) row 1 : terminal 1 (ct1) | mtl | 14 | 1 | none | 4 | none | none row 2 : terminal 2 (ct2) | mtl | 14 | 1 | none | 5 | none | none row 3 : terminal 3 (ct3) | dpi | 14 | 1 | 305 | 6 | 167000 | >1,200 row 4 : terminal 4 (ct4) | hit | 12.5 | 3 | none | 8 | none | none row 5 : terminal 5 (ct5) | mtl | 14 | 1 | none | 4 | none | none row 6 : terminal 6 (ct6) | hit | 12.5-15.5 | 3 | none | 11 | none | none row 7 : terminal 7 (ct7) | hit | 15.5 | 4 | none | 15 | none | none row 8 : terminal 8 east (ct8e) | hit/cosco | 15.5 | 2 | 640 | 9 | 300000 | 1800 row 9 : terminal 8 west (ct8w) | act | 15.5 | 2 | 740 | 8 | 285000 | >2,000 row 10 : terminal 9 north (ct9n) | hit | 15.5 | 2 | 700 | 9 | 190000 | >2,600 (n&s) row 11 : terminal 9 south (ct9s) | mtl | 15.5 | 4 | 1240 | 13 | 490000 | none | col : min ( "terminal" ) row 1 : terminal 8 east (ct8e) | select terminal where quay cranes > 8 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& terminal & operator & depth (m) & berths & quay length (m) & quay cranes & area (m2) & capacity (kteus) \\
\midrule
0 & terminal 1 (ct1) & mtl & 14 & 1 & none & 4 & none & none \\
1 & terminal 2 (ct2) & mtl & 14 & 1 & none & 5 & none & none \\
2 & terminal 3 (ct3) & dpi & 14 & 1 & 305 & 6 & 167000 & >1,200 \\
3 & terminal 4 (ct4) & hit & 12.5 & 3 & none & 8 & none & none \\
4 & terminal 5 (ct5) & mtl & 14 & 1 & none & 4 & none & none \\
5 & terminal 6 (ct6) & hit & 12.5-15.5 & 3 & none & 11 & none & none \\
6 & terminal 7 (ct7) & hit & 15.5 & 4 & none & 15 & none & none \\
7 & terminal 8 east (ct8e) & hit/cosco & 15.5 & 2 & 640 & 9 & 300000 & 1800 \\
8 & terminal 8 west (ct8w) & act & 15.5 & 2 & 740 & 8 & 285000 & >2,000 \\
9 & terminal 9 north (ct9n) & hit & 15.5 & 2 & 700 & 9 & 190000 & >2,600 (n&s) \\
10 & terminal 9 south (ct9s) & mtl & 15.5 & 4 & 1240 & 13 & 490000 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& min ( "terminal" ) \\
\midrule
0 & terminal 8 east (ct8e) \\
\bottomrule
\end{tabular}
| select terminal where quay cranes > 8 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>terminal</th>
<th>operator</th>
<th>depth (m)</th>
<th>berths</th>
<th>quay length (m)</th>
<th>quay cranes</th>
<th>area (m2)</th>
<th>capacity (kteus)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>terminal 1 (ct1)</td>
<td>mtl</td>
<td>14</td>
<td>1</td>
<td>none</td>
<td>4</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>terminal 2 (ct2)</td>
<td>mtl</td>
<td>14</td>
<td>1</td>
<td>none</td>
<td>5</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>terminal 3 (ct3)</td>
<td>dpi</td>
<td>14</td>
<td>1</td>
<td>305</td>
<td>6</td>
<td>167000</td>
<td>>1,200</td>
</tr>
<tr>
<th>3</th>
<td>terminal 4 (ct4)</td>
<td>hit</td>
<td>12.5</td>
<td>3</td>
<td>none</td>
<td>8</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>terminal 5 (ct5)</td>
<td>mtl</td>
<td>14</td>
<td>1</td>
<td>none</td>
<td>4</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>terminal 6 (ct6)</td>
<td>hit</td>
<td>12.5-15.5</td>
<td>3</td>
<td>none</td>
<td>11</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>terminal 7 (ct7)</td>
<td>hit</td>
<td>15.5</td>
<td>4</td>
<td>none</td>
<td>15</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>terminal 8 east (ct8e)</td>
<td>hit/cosco</td>
<td>15.5</td>
<td>2</td>
<td>640</td>
<td>9</td>
<td>300000</td>
<td>1800</td>
</tr>
<tr>
<th>8</th>
<td>terminal 8 west (ct8w)</td>
<td>act</td>
<td>15.5</td>
<td>2</td>
<td>740</td>
<td>8</td>
<td>285000</td>
<td>>2,000</td>
</tr>
<tr>
<th>9</th>
<td>terminal 9 north (ct9n)</td>
<td>hit</td>
<td>15.5</td>
<td>2</td>
<td>700</td>
<td>9</td>
<td>190000</td>
<td>>2,600 (n&s)</td>
</tr>
<tr>
<th>10</th>
<td>terminal 9 south (ct9s)</td>
<td>mtl</td>
<td>15.5</td>
<td>4</td>
<td>1240</td>
<td>13</td>
<td>490000</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>min ( "terminal" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>terminal 8 east (ct8e)</td>
</tr>
</tbody>
</table> | select terminal where quay cranes > 8 <table_name> : table | | terminal | operator | depth (m) | berths | quay length (m) | quay cranes | area (m2) | capacity (kteus) |
|---:|:------------------------|:-----------|:------------|---------:|:------------------|--------------:|:------------|:-------------------|
| 0 | terminal 1 (ct1) | mtl | 14 | 1 | none | 4 | none | none |
| 1 | terminal 2 (ct2) | mtl | 14 | 1 | none | 5 | none | none |
| 2 | terminal 3 (ct3) | dpi | 14 | 1 | 305 | 6 | 167000 | >1,200 |
| 3 | terminal 4 (ct4) | hit | 12.5 | 3 | none | 8 | none | none |
| 4 | terminal 5 (ct5) | mtl | 14 | 1 | none | 4 | none | none |
| 5 | terminal 6 (ct6) | hit | 12.5-15.5 | 3 | none | 11 | none | none |
| 6 | terminal 7 (ct7) | hit | 15.5 | 4 | none | 15 | none | none |
| 7 | terminal 8 east (ct8e) | hit/cosco | 15.5 | 2 | 640 | 9 | 300000 | 1800 |
| 8 | terminal 8 west (ct8w) | act | 15.5 | 2 | 740 | 8 | 285000 | >2,000 |
| 9 | terminal 9 north (ct9n) | hit | 15.5 | 2 | 700 | 9 | 190000 | >2,600 (n&s) |
| 10 | terminal 9 south (ct9s) | mtl | 15.5 | 4 | 1240 | 13 | 490000 | none | | | | min ( "terminal" ) |
|---:|:-----------------------|
| 0 | terminal 8 east (ct8e) | | [
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] |
select count ( * ) where team = 'none' and gp >= 1217 col : year | team | gp | gs | mpg | fg% | 3p% | ft% | rpg | apg | spg | bpg | ppg row 1 : 1993-94 | golden state | 76 | 76 | 32.1 | 0.552 | 0.0 | 0.532 | 9.1 | 3.6 | 1.2 | 2.2 | 17.5 row 2 : 1994-95 | washington | 54 | 52 | 38.3 | 0.495 | 0.276 | 0.502 | 9.6 | 4.7 | 1.5 | 1.6 | 20.1 row 3 : 1995-96 | washington | 15 | 15 | 37.2 | 0.543 | 0.441 | 0.594 | 7.6 | 5.0 | 1.8 | 0.6 | 23.7 row 4 : 1996-97 | washington | 72 | 72 | 39.0 | 0.518 | 0.397 | 0.565 | 10.3 | 4.6 | 1.7 | 1.9 | 20.1 row 5 : 1997-98 | washington | 71 | 71 | 39.6 | 0.482 | 0.317 | 0.589 | 9.5 | 3.8 | 1.6 | 1.7 | 21.9 row 6 : 1998-99 | sacramento | 42 | 42 | 40.9 | 0.486 | 0.118 | 0.454 | 13.0 | 4.1 | 1.4 | 2.1 | 20.0 row 7 : 1999-00 | sacramento | 75 | 75 | 38.4 | 0.483 | 0.284 | 0.751 | 10.5 | 4.6 | 1.6 | 1.7 | 24.5 row 8 : 2000-01 | sacramento | 70 | 70 | 40.5 | 0.481 | 0.071 | 0.703 | 11.1 | 4.2 | 1.3 | 1.7 | 27.1 row 9 : 2001-02 | sacramento | 54 | 54 | 38.4 | 0.495 | 0.263 | 0.749 | 10.1 | 4.8 | 1.7 | 1.4 | 24.5 row 10 : 2002-03 | sacramento | 67 | 67 | 39.1 | 0.461 | 0.238 | 0.607 | 10.5 | 5.4 | 1.6 | 1.3 | 23.0 row 11 : 2003-04 | sacramento | 23 | 23 | 36.1 | 0.413 | 0.2 | 0.711 | 8.7 | 4.6 | 1.3 | 0.9 | 18.7 row 12 : 2004-05 | sacramento | 46 | 46 | 36.3 | 0.449 | 0.379 | 0.799 | 9.7 | 5.5 | 1.5 | 0.7 | 21.3 row 13 : 2004-05 | philadelphia | 21 | 21 | 33.4 | 0.391 | 0.267 | 0.776 | 7.9 | 3.1 | 1.2 | 0.9 | 15.6 row 14 : 2005-06 | philadelphia | 75 | 75 | 38.6 | 0.434 | 0.273 | 0.756 | 9.9 | 3.4 | 1.4 | 0.8 | 20.2 row 15 : 2006-07 | philadelphia | 18 | 18 | 30.2 | 0.387 | 0.4 | 0.643 | 8.3 | 3.4 | 1.0 | 0.8 | 11.0 row 16 : 2006-07 | detroit | 43 | 42 | 29.7 | 0.489 | 0.333 | 0.636 | 6.7 | 3.0 | 1.0 | 0.6 | 11.3 row 17 : 2007-08 | golden state | 9 | 8 | 14.0 | 0.484 | 0.0 | 0.417 | 3.6 | 2.0 | 0.4 | 0.7 | 3.9 row 18 : career | none | 831 | 827 | 37.1 | 0.479 | 0.299 | 0.649 | 9.8 | 4.2 | 1.4 | 1.4 | 20.7 row 19 : all-star | none | 4 | 4 | 19.0 | 0.371 | 0.333 | 0.375 | 6.0 | 3.3 | 1.0 | none | 7.5 | col : count ( "*" ) row 1 : 2 | select count ( * ) where team = 'none' and gp >= 1217 <table_name> : table \begin{tabular}{llllllllllllll}
\toprule
& year & team & gp & gs & mpg & fg% & 3p% & ft% & rpg & apg & spg & bpg & ppg \\
\midrule
0 & 1993-94 & golden state & 76 & 76 & 32.1 & 0.552 & 0.0 & 0.532 & 9.1 & 3.6 & 1.2 & 2.2 & 17.5 \\
1 & 1994-95 & washington & 54 & 52 & 38.3 & 0.495 & 0.276 & 0.502 & 9.6 & 4.7 & 1.5 & 1.6 & 20.1 \\
2 & 1995-96 & washington & 15 & 15 & 37.2 & 0.543 & 0.441 & 0.594 & 7.6 & 5.0 & 1.8 & 0.6 & 23.7 \\
3 & 1996-97 & washington & 72 & 72 & 39.0 & 0.518 & 0.397 & 0.565 & 10.3 & 4.6 & 1.7 & 1.9 & 20.1 \\
4 & 1997-98 & washington & 71 & 71 & 39.6 & 0.482 & 0.317 & 0.589 & 9.5 & 3.8 & 1.6 & 1.7 & 21.9 \\
5 & 1998-99 & sacramento & 42 & 42 & 40.9 & 0.486 & 0.118 & 0.454 & 13.0 & 4.1 & 1.4 & 2.1 & 20.0 \\
6 & 1999-00 & sacramento & 75 & 75 & 38.4 & 0.483 & 0.284 & 0.751 & 10.5 & 4.6 & 1.6 & 1.7 & 24.5 \\
7 & 2000-01 & sacramento & 70 & 70 & 40.5 & 0.481 & 0.071 & 0.703 & 11.1 & 4.2 & 1.3 & 1.7 & 27.1 \\
8 & 2001-02 & sacramento & 54 & 54 & 38.4 & 0.495 & 0.263 & 0.749 & 10.1 & 4.8 & 1.7 & 1.4 & 24.5 \\
9 & 2002-03 & sacramento & 67 & 67 & 39.1 & 0.461 & 0.238 & 0.607 & 10.5 & 5.4 & 1.6 & 1.3 & 23.0 \\
10 & 2003-04 & sacramento & 23 & 23 & 36.1 & 0.413 & 0.2 & 0.711 & 8.7 & 4.6 & 1.3 & 0.9 & 18.7 \\
11 & 2004-05 & sacramento & 46 & 46 & 36.3 & 0.449 & 0.379 & 0.799 & 9.7 & 5.5 & 1.5 & 0.7 & 21.3 \\
12 & 2004-05 & philadelphia & 21 & 21 & 33.4 & 0.391 & 0.267 & 0.776 & 7.9 & 3.1 & 1.2 & 0.9 & 15.6 \\
13 & 2005-06 & philadelphia & 75 & 75 & 38.6 & 0.434 & 0.273 & 0.756 & 9.9 & 3.4 & 1.4 & 0.8 & 20.2 \\
14 & 2006-07 & philadelphia & 18 & 18 & 30.2 & 0.387 & 0.4 & 0.643 & 8.3 & 3.4 & 1.0 & 0.8 & 11.0 \\
15 & 2006-07 & detroit & 43 & 42 & 29.7 & 0.489 & 0.333 & 0.636 & 6.7 & 3.0 & 1.0 & 0.6 & 11.3 \\
16 & 2007-08 & golden state & 9 & 8 & 14.0 & 0.484 & 0.0 & 0.417 & 3.6 & 2.0 & 0.4 & 0.7 & 3.9 \\
17 & career & none & 831 & 827 & 37.1 & 0.479 & 0.299 & 0.649 & 9.8 & 4.2 & 1.4 & 1.4 & 20.7 \\
18 & all-star & none & 4 & 4 & 19.0 & 0.371 & 0.333 & 0.375 & 6.0 & 3.3 & 1.0 & none & 7.5 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select count ( * ) where team = 'none' and gp >= 1217 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>team</th>
<th>gp</th>
<th>gs</th>
<th>mpg</th>
<th>fg%</th>
<th>3p%</th>
<th>ft%</th>
<th>rpg</th>
<th>apg</th>
<th>spg</th>
<th>bpg</th>
<th>ppg</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1993-94</td>
<td>golden state</td>
<td>76</td>
<td>76</td>
<td>32.1</td>
<td>0.552</td>
<td>0.0</td>
<td>0.532</td>
<td>9.1</td>
<td>3.6</td>
<td>1.2</td>
<td>2.2</td>
<td>17.5</td>
</tr>
<tr>
<th>1</th>
<td>1994-95</td>
<td>washington</td>
<td>54</td>
<td>52</td>
<td>38.3</td>
<td>0.495</td>
<td>0.276</td>
<td>0.502</td>
<td>9.6</td>
<td>4.7</td>
<td>1.5</td>
<td>1.6</td>
<td>20.1</td>
</tr>
<tr>
<th>2</th>
<td>1995-96</td>
<td>washington</td>
<td>15</td>
<td>15</td>
<td>37.2</td>
<td>0.543</td>
<td>0.441</td>
<td>0.594</td>
<td>7.6</td>
<td>5.0</td>
<td>1.8</td>
<td>0.6</td>
<td>23.7</td>
</tr>
<tr>
<th>3</th>
<td>1996-97</td>
<td>washington</td>
<td>72</td>
<td>72</td>
<td>39.0</td>
<td>0.518</td>
<td>0.397</td>
<td>0.565</td>
<td>10.3</td>
<td>4.6</td>
<td>1.7</td>
<td>1.9</td>
<td>20.1</td>
</tr>
<tr>
<th>4</th>
<td>1997-98</td>
<td>washington</td>
<td>71</td>
<td>71</td>
<td>39.6</td>
<td>0.482</td>
<td>0.317</td>
<td>0.589</td>
<td>9.5</td>
<td>3.8</td>
<td>1.6</td>
<td>1.7</td>
<td>21.9</td>
</tr>
<tr>
<th>5</th>
<td>1998-99</td>
<td>sacramento</td>
<td>42</td>
<td>42</td>
<td>40.9</td>
<td>0.486</td>
<td>0.118</td>
<td>0.454</td>
<td>13.0</td>
<td>4.1</td>
<td>1.4</td>
<td>2.1</td>
<td>20.0</td>
</tr>
<tr>
<th>6</th>
<td>1999-00</td>
<td>sacramento</td>
<td>75</td>
<td>75</td>
<td>38.4</td>
<td>0.483</td>
<td>0.284</td>
<td>0.751</td>
<td>10.5</td>
<td>4.6</td>
<td>1.6</td>
<td>1.7</td>
<td>24.5</td>
</tr>
<tr>
<th>7</th>
<td>2000-01</td>
<td>sacramento</td>
<td>70</td>
<td>70</td>
<td>40.5</td>
<td>0.481</td>
<td>0.071</td>
<td>0.703</td>
<td>11.1</td>
<td>4.2</td>
<td>1.3</td>
<td>1.7</td>
<td>27.1</td>
</tr>
<tr>
<th>8</th>
<td>2001-02</td>
<td>sacramento</td>
<td>54</td>
<td>54</td>
<td>38.4</td>
<td>0.495</td>
<td>0.263</td>
<td>0.749</td>
<td>10.1</td>
<td>4.8</td>
<td>1.7</td>
<td>1.4</td>
<td>24.5</td>
</tr>
<tr>
<th>9</th>
<td>2002-03</td>
<td>sacramento</td>
<td>67</td>
<td>67</td>
<td>39.1</td>
<td>0.461</td>
<td>0.238</td>
<td>0.607</td>
<td>10.5</td>
<td>5.4</td>
<td>1.6</td>
<td>1.3</td>
<td>23.0</td>
</tr>
<tr>
<th>10</th>
<td>2003-04</td>
<td>sacramento</td>
<td>23</td>
<td>23</td>
<td>36.1</td>
<td>0.413</td>
<td>0.2</td>
<td>0.711</td>
<td>8.7</td>
<td>4.6</td>
<td>1.3</td>
<td>0.9</td>
<td>18.7</td>
</tr>
<tr>
<th>11</th>
<td>2004-05</td>
<td>sacramento</td>
<td>46</td>
<td>46</td>
<td>36.3</td>
<td>0.449</td>
<td>0.379</td>
<td>0.799</td>
<td>9.7</td>
<td>5.5</td>
<td>1.5</td>
<td>0.7</td>
<td>21.3</td>
</tr>
<tr>
<th>12</th>
<td>2004-05</td>
<td>philadelphia</td>
<td>21</td>
<td>21</td>
<td>33.4</td>
<td>0.391</td>
<td>0.267</td>
<td>0.776</td>
<td>7.9</td>
<td>3.1</td>
<td>1.2</td>
<td>0.9</td>
<td>15.6</td>
</tr>
<tr>
<th>13</th>
<td>2005-06</td>
<td>philadelphia</td>
<td>75</td>
<td>75</td>
<td>38.6</td>
<td>0.434</td>
<td>0.273</td>
<td>0.756</td>
<td>9.9</td>
<td>3.4</td>
<td>1.4</td>
<td>0.8</td>
<td>20.2</td>
</tr>
<tr>
<th>14</th>
<td>2006-07</td>
<td>philadelphia</td>
<td>18</td>
<td>18</td>
<td>30.2</td>
<td>0.387</td>
<td>0.4</td>
<td>0.643</td>
<td>8.3</td>
<td>3.4</td>
<td>1.0</td>
<td>0.8</td>
<td>11.0</td>
</tr>
<tr>
<th>15</th>
<td>2006-07</td>
<td>detroit</td>
<td>43</td>
<td>42</td>
<td>29.7</td>
<td>0.489</td>
<td>0.333</td>
<td>0.636</td>
<td>6.7</td>
<td>3.0</td>
<td>1.0</td>
<td>0.6</td>
<td>11.3</td>
</tr>
<tr>
<th>16</th>
<td>2007-08</td>
<td>golden state</td>
<td>9</td>
<td>8</td>
<td>14.0</td>
<td>0.484</td>
<td>0.0</td>
<td>0.417</td>
<td>3.6</td>
<td>2.0</td>
<td>0.4</td>
<td>0.7</td>
<td>3.9</td>
</tr>
<tr>
<th>17</th>
<td>career</td>
<td>none</td>
<td>831</td>
<td>827</td>
<td>37.1</td>
<td>0.479</td>
<td>0.299</td>
<td>0.649</td>
<td>9.8</td>
<td>4.2</td>
<td>1.4</td>
<td>1.4</td>
<td>20.7</td>
</tr>
<tr>
<th>18</th>
<td>all-star</td>
<td>none</td>
<td>4</td>
<td>4</td>
<td>19.0</td>
<td>0.371</td>
<td>0.333</td>
<td>0.375</td>
<td>6.0</td>
<td>3.3</td>
<td>1.0</td>
<td>none</td>
<td>7.5</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2</td>
</tr>
</tbody>
</table> | select count ( * ) where team = 'none' and gp >= 1217 <table_name> : table | | year | team | gp | gs | mpg | fg% | 3p% | ft% | rpg | apg | spg | bpg | ppg |
|---:|:---------|:-------------|-----:|-----:|------:|------:|------:|------:|------:|------:|------:|:------|------:|
| 0 | 1993-94 | golden state | 76 | 76 | 32.1 | 0.552 | 0 | 0.532 | 9.1 | 3.6 | 1.2 | 2.2 | 17.5 |
| 1 | 1994-95 | washington | 54 | 52 | 38.3 | 0.495 | 0.276 | 0.502 | 9.6 | 4.7 | 1.5 | 1.6 | 20.1 |
| 2 | 1995-96 | washington | 15 | 15 | 37.2 | 0.543 | 0.441 | 0.594 | 7.6 | 5 | 1.8 | 0.6 | 23.7 |
| 3 | 1996-97 | washington | 72 | 72 | 39 | 0.518 | 0.397 | 0.565 | 10.3 | 4.6 | 1.7 | 1.9 | 20.1 |
| 4 | 1997-98 | washington | 71 | 71 | 39.6 | 0.482 | 0.317 | 0.589 | 9.5 | 3.8 | 1.6 | 1.7 | 21.9 |
| 5 | 1998-99 | sacramento | 42 | 42 | 40.9 | 0.486 | 0.118 | 0.454 | 13 | 4.1 | 1.4 | 2.1 | 20 |
| 6 | 1999-00 | sacramento | 75 | 75 | 38.4 | 0.483 | 0.284 | 0.751 | 10.5 | 4.6 | 1.6 | 1.7 | 24.5 |
| 7 | 2000-01 | sacramento | 70 | 70 | 40.5 | 0.481 | 0.071 | 0.703 | 11.1 | 4.2 | 1.3 | 1.7 | 27.1 |
| 8 | 2001-02 | sacramento | 54 | 54 | 38.4 | 0.495 | 0.263 | 0.749 | 10.1 | 4.8 | 1.7 | 1.4 | 24.5 |
| 9 | 2002-03 | sacramento | 67 | 67 | 39.1 | 0.461 | 0.238 | 0.607 | 10.5 | 5.4 | 1.6 | 1.3 | 23 |
| 10 | 2003-04 | sacramento | 23 | 23 | 36.1 | 0.413 | 0.2 | 0.711 | 8.7 | 4.6 | 1.3 | 0.9 | 18.7 |
| 11 | 2004-05 | sacramento | 46 | 46 | 36.3 | 0.449 | 0.379 | 0.799 | 9.7 | 5.5 | 1.5 | 0.7 | 21.3 |
| 12 | 2004-05 | philadelphia | 21 | 21 | 33.4 | 0.391 | 0.267 | 0.776 | 7.9 | 3.1 | 1.2 | 0.9 | 15.6 |
| 13 | 2005-06 | philadelphia | 75 | 75 | 38.6 | 0.434 | 0.273 | 0.756 | 9.9 | 3.4 | 1.4 | 0.8 | 20.2 |
| 14 | 2006-07 | philadelphia | 18 | 18 | 30.2 | 0.387 | 0.4 | 0.643 | 8.3 | 3.4 | 1 | 0.8 | 11 |
| 15 | 2006-07 | detroit | 43 | 42 | 29.7 | 0.489 | 0.333 | 0.636 | 6.7 | 3 | 1 | 0.6 | 11.3 |
| 16 | 2007-08 | golden state | 9 | 8 | 14 | 0.484 | 0 | 0.417 | 3.6 | 2 | 0.4 | 0.7 | 3.9 |
| 17 | career | none | 831 | 827 | 37.1 | 0.479 | 0.299 | 0.649 | 9.8 | 4.2 | 1.4 | 1.4 | 20.7 |
| 18 | all-star | none | 4 | 4 | 19 | 0.371 | 0.333 | 0.375 | 6 | 3.3 | 1 | none | 7.5 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 2 | | [
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select chassis where no = 12 col : entrant | constructor | chassis | engine | no | driver row 1 : team ensign | ensign | n180b | cosworth dfv v8 | 3 | jim crawford row 2 : team ensign | ensign | n180b | cosworth dfv v8 | 4 | joe castellano row 3 : colin bennett racing | mclaren | m29 | cosworth dfv v8 | 6 | arnold glass row 4 : colin bennett racing | march | 811 | cosworth dfv v8 | 7 | val musetti row 5 : team sanada | fittipaldi | f8 | cosworth dfv v8 | 8 | tony trimmer row 6 : warren booth | shadow | dn9 | cosworth dfv v8 | 11 | warren booth row 7 : john jordan | brm | p207 | brm 202 v12 | 12 | david williams row 8 : nick mason | tyrrell | 8 | cosworth dfv v8 | 14 | john brindley row 9 : emka productions | williams | fw07 | cosworth dfv v8 | 16 | steve o'rourke row 10 : team peru | williams | fw07 | cosworth dfv v8 | 82 | jorge koechlin | col : chassis row 1 : p207 | select chassis where no = 12 <table_name> : table \begin{tabular}{lllllll}
\toprule
& entrant & constructor & chassis & engine & no & driver \\
\midrule
0 & team ensign & ensign & n180b & cosworth dfv v8 & 3 & jim crawford \\
1 & team ensign & ensign & n180b & cosworth dfv v8 & 4 & joe castellano \\
2 & colin bennett racing & mclaren & m29 & cosworth dfv v8 & 6 & arnold glass \\
3 & colin bennett racing & march & 811 & cosworth dfv v8 & 7 & val musetti \\
4 & team sanada & fittipaldi & f8 & cosworth dfv v8 & 8 & tony trimmer \\
5 & warren booth & shadow & dn9 & cosworth dfv v8 & 11 & warren booth \\
6 & john jordan & brm & p207 & brm 202 v12 & 12 & david williams \\
7 & nick mason & tyrrell & 8 & cosworth dfv v8 & 14 & john brindley \\
8 & emka productions & williams & fw07 & cosworth dfv v8 & 16 & steve o'rourke \\
9 & team peru & williams & fw07 & cosworth dfv v8 & 82 & jorge koechlin \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& chassis \\
\midrule
0 & p207 \\
\bottomrule
\end{tabular}
| select chassis where no = 12 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>entrant</th>
<th>constructor</th>
<th>chassis</th>
<th>engine</th>
<th>no</th>
<th>driver</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>team ensign</td>
<td>ensign</td>
<td>n180b</td>
<td>cosworth dfv v8</td>
<td>3</td>
<td>jim crawford</td>
</tr>
<tr>
<th>1</th>
<td>team ensign</td>
<td>ensign</td>
<td>n180b</td>
<td>cosworth dfv v8</td>
<td>4</td>
<td>joe castellano</td>
</tr>
<tr>
<th>2</th>
<td>colin bennett racing</td>
<td>mclaren</td>
<td>m29</td>
<td>cosworth dfv v8</td>
<td>6</td>
<td>arnold glass</td>
</tr>
<tr>
<th>3</th>
<td>colin bennett racing</td>
<td>march</td>
<td>811</td>
<td>cosworth dfv v8</td>
<td>7</td>
<td>val musetti</td>
</tr>
<tr>
<th>4</th>
<td>team sanada</td>
<td>fittipaldi</td>
<td>f8</td>
<td>cosworth dfv v8</td>
<td>8</td>
<td>tony trimmer</td>
</tr>
<tr>
<th>5</th>
<td>warren booth</td>
<td>shadow</td>
<td>dn9</td>
<td>cosworth dfv v8</td>
<td>11</td>
<td>warren booth</td>
</tr>
<tr>
<th>6</th>
<td>john jordan</td>
<td>brm</td>
<td>p207</td>
<td>brm 202 v12</td>
<td>12</td>
<td>david williams</td>
</tr>
<tr>
<th>7</th>
<td>nick mason</td>
<td>tyrrell</td>
<td>8</td>
<td>cosworth dfv v8</td>
<td>14</td>
<td>john brindley</td>
</tr>
<tr>
<th>8</th>
<td>emka productions</td>
<td>williams</td>
<td>fw07</td>
<td>cosworth dfv v8</td>
<td>16</td>
<td>steve o'rourke</td>
</tr>
<tr>
<th>9</th>
<td>team peru</td>
<td>williams</td>
<td>fw07</td>
<td>cosworth dfv v8</td>
<td>82</td>
<td>jorge koechlin</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>chassis</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>p207</td>
</tr>
</tbody>
</table> | select chassis where no = 12 <table_name> : table | | entrant | constructor | chassis | engine | no | driver |
|---:|:---------------------|:--------------|:----------|:----------------|-----:|:---------------|
| 0 | team ensign | ensign | n180b | cosworth dfv v8 | 3 | jim crawford |
| 1 | team ensign | ensign | n180b | cosworth dfv v8 | 4 | joe castellano |
| 2 | colin bennett racing | mclaren | m29 | cosworth dfv v8 | 6 | arnold glass |
| 3 | colin bennett racing | march | 811 | cosworth dfv v8 | 7 | val musetti |
| 4 | team sanada | fittipaldi | f8 | cosworth dfv v8 | 8 | tony trimmer |
| 5 | warren booth | shadow | dn9 | cosworth dfv v8 | 11 | warren booth |
| 6 | john jordan | brm | p207 | brm 202 v12 | 12 | david williams |
| 7 | nick mason | tyrrell | 8 | cosworth dfv v8 | 14 | john brindley |
| 8 | emka productions | williams | fw07 | cosworth dfv v8 | 16 | steve o'rourke |
| 9 | team peru | williams | fw07 | cosworth dfv v8 | 82 | jorge koechlin | | | | chassis |
|---:|:----------|
| 0 | p207 | | [
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select abs ( retired - retired ) where car = 37 col : year | car | start | qual | rank | finish | laps | led | retired row 1 : 1926 | 31 | 12 | 102.789 | 13 | 11 | 142 | 0 | flagged row 2 : 1927 | 27 | 27 | 107.765 | 22 | 3 | 200 | 0 | running row 3 : 1928 | 8 | 4 | 117.031 | 4 | 10 | 200 | 33 | running row 4 : 1929 | 23 | 11 | 112.146 | 15 | 17 | 91 | 0 | supercharger row 5 : 1930 | 9 | 20 | 100.033 | 18 | 20 | 79 | 0 | valve row 6 : 1931 | 37 | 19 | 111.725 | 6 | 18 | 167 | 0 | crash t4 row 7 : 1932 | 25 | 20 | 108.896 | 34 | 13 | 184 | 0 | flagged row 8 : 1933 | 34 | 12 | 113.578 | 15 | 7 | 200 | 0 | running row 9 : 1934 | 8 | 7 | 113.733 | 13 | 17 | 94 | 0 | rod row 10 : 1935 | 44 | 6 | 115.459 | 11 | 21 | 102 | 0 | magneto row 11 : 1937 | 38 | 7 | 118.788 | 16 | 8 | 200 | 0 | running row 12 : 1938 | 17 | 4 | 122.499 | 6 | 17 | 130 | 0 | rod row 13 : 1939 | 62 | 27 | 121.749 | 24 | 11 | 200 | 0 | running row 14 : totals | totals | totals | totals | totals | totals | 1989 | 33 | none | col : "abs ( retired - retired )" row 1 : abs ( retired - retired ) | select abs ( retired - retired ) where car = 37 <table_name> : table \begin{tabular}{llllllllll}
\toprule
& year & car & start & qual & rank & finish & laps & led & retired \\
\midrule
0 & 1926 & 31 & 12 & 102.789 & 13 & 11 & 142 & 0 & flagged \\
1 & 1927 & 27 & 27 & 107.765 & 22 & 3 & 200 & 0 & running \\
2 & 1928 & 8 & 4 & 117.031 & 4 & 10 & 200 & 33 & running \\
3 & 1929 & 23 & 11 & 112.146 & 15 & 17 & 91 & 0 & supercharger \\
4 & 1930 & 9 & 20 & 100.033 & 18 & 20 & 79 & 0 & valve \\
5 & 1931 & 37 & 19 & 111.725 & 6 & 18 & 167 & 0 & crash t4 \\
6 & 1932 & 25 & 20 & 108.896 & 34 & 13 & 184 & 0 & flagged \\
7 & 1933 & 34 & 12 & 113.578 & 15 & 7 & 200 & 0 & running \\
8 & 1934 & 8 & 7 & 113.733 & 13 & 17 & 94 & 0 & rod \\
9 & 1935 & 44 & 6 & 115.459 & 11 & 21 & 102 & 0 & magneto \\
10 & 1937 & 38 & 7 & 118.788 & 16 & 8 & 200 & 0 & running \\
11 & 1938 & 17 & 4 & 122.499 & 6 & 17 & 130 & 0 & rod \\
12 & 1939 & 62 & 27 & 121.749 & 24 & 11 & 200 & 0 & running \\
13 & totals & totals & totals & totals & totals & totals & 1989 & 33 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "abs ( retired - retired )" \\
\midrule
0 & abs ( retired - retired ) \\
\bottomrule
\end{tabular}
| select abs ( retired - retired ) where car = 37 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>car</th>
<th>start</th>
<th>qual</th>
<th>rank</th>
<th>finish</th>
<th>laps</th>
<th>led</th>
<th>retired</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1926</td>
<td>31</td>
<td>12</td>
<td>102.789</td>
<td>13</td>
<td>11</td>
<td>142</td>
<td>0</td>
<td>flagged</td>
</tr>
<tr>
<th>1</th>
<td>1927</td>
<td>27</td>
<td>27</td>
<td>107.765</td>
<td>22</td>
<td>3</td>
<td>200</td>
<td>0</td>
<td>running</td>
</tr>
<tr>
<th>2</th>
<td>1928</td>
<td>8</td>
<td>4</td>
<td>117.031</td>
<td>4</td>
<td>10</td>
<td>200</td>
<td>33</td>
<td>running</td>
</tr>
<tr>
<th>3</th>
<td>1929</td>
<td>23</td>
<td>11</td>
<td>112.146</td>
<td>15</td>
<td>17</td>
<td>91</td>
<td>0</td>
<td>supercharger</td>
</tr>
<tr>
<th>4</th>
<td>1930</td>
<td>9</td>
<td>20</td>
<td>100.033</td>
<td>18</td>
<td>20</td>
<td>79</td>
<td>0</td>
<td>valve</td>
</tr>
<tr>
<th>5</th>
<td>1931</td>
<td>37</td>
<td>19</td>
<td>111.725</td>
<td>6</td>
<td>18</td>
<td>167</td>
<td>0</td>
<td>crash t4</td>
</tr>
<tr>
<th>6</th>
<td>1932</td>
<td>25</td>
<td>20</td>
<td>108.896</td>
<td>34</td>
<td>13</td>
<td>184</td>
<td>0</td>
<td>flagged</td>
</tr>
<tr>
<th>7</th>
<td>1933</td>
<td>34</td>
<td>12</td>
<td>113.578</td>
<td>15</td>
<td>7</td>
<td>200</td>
<td>0</td>
<td>running</td>
</tr>
<tr>
<th>8</th>
<td>1934</td>
<td>8</td>
<td>7</td>
<td>113.733</td>
<td>13</td>
<td>17</td>
<td>94</td>
<td>0</td>
<td>rod</td>
</tr>
<tr>
<th>9</th>
<td>1935</td>
<td>44</td>
<td>6</td>
<td>115.459</td>
<td>11</td>
<td>21</td>
<td>102</td>
<td>0</td>
<td>magneto</td>
</tr>
<tr>
<th>10</th>
<td>1937</td>
<td>38</td>
<td>7</td>
<td>118.788</td>
<td>16</td>
<td>8</td>
<td>200</td>
<td>0</td>
<td>running</td>
</tr>
<tr>
<th>11</th>
<td>1938</td>
<td>17</td>
<td>4</td>
<td>122.499</td>
<td>6</td>
<td>17</td>
<td>130</td>
<td>0</td>
<td>rod</td>
</tr>
<tr>
<th>12</th>
<td>1939</td>
<td>62</td>
<td>27</td>
<td>121.749</td>
<td>24</td>
<td>11</td>
<td>200</td>
<td>0</td>
<td>running</td>
</tr>
<tr>
<th>13</th>
<td>totals</td>
<td>totals</td>
<td>totals</td>
<td>totals</td>
<td>totals</td>
<td>totals</td>
<td>1989</td>
<td>33</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"abs ( retired - retired )"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>abs ( retired - retired )</td>
</tr>
</tbody>
</table> | select abs ( retired - retired ) where car = 37 <table_name> : table | | year | car | start | qual | rank | finish | laps | led | retired |
|---:|:-------|:-------|:--------|:--------|:-------|:---------|-------:|------:|:-------------|
| 0 | 1926 | 31 | 12 | 102.789 | 13 | 11 | 142 | 0 | flagged |
| 1 | 1927 | 27 | 27 | 107.765 | 22 | 3 | 200 | 0 | running |
| 2 | 1928 | 8 | 4 | 117.031 | 4 | 10 | 200 | 33 | running |
| 3 | 1929 | 23 | 11 | 112.146 | 15 | 17 | 91 | 0 | supercharger |
| 4 | 1930 | 9 | 20 | 100.033 | 18 | 20 | 79 | 0 | valve |
| 5 | 1931 | 37 | 19 | 111.725 | 6 | 18 | 167 | 0 | crash t4 |
| 6 | 1932 | 25 | 20 | 108.896 | 34 | 13 | 184 | 0 | flagged |
| 7 | 1933 | 34 | 12 | 113.578 | 15 | 7 | 200 | 0 | running |
| 8 | 1934 | 8 | 7 | 113.733 | 13 | 17 | 94 | 0 | rod |
| 9 | 1935 | 44 | 6 | 115.459 | 11 | 21 | 102 | 0 | magneto |
| 10 | 1937 | 38 | 7 | 118.788 | 16 | 8 | 200 | 0 | running |
| 11 | 1938 | 17 | 4 | 122.499 | 6 | 17 | 130 | 0 | rod |
| 12 | 1939 | 62 | 27 | 121.749 | 24 | 11 | 200 | 0 | running |
| 13 | totals | totals | totals | totals | totals | totals | 1989 | 33 | none | | | | "abs ( retired - retired )" |
|---:|:------------------------------|
| 0 | abs ( retired - retired ) | | [
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] |
select nationality where rank > 6 col : rank | name | nationality | time row 1 : none | gustavo borges | brazil | 1:49.41 row 2 : none | scott tucker | united states | 1:50.99 row 3 : none | leonardo costa | brazil | 1:51.29 row 4 : none | mark johnston | canada | 1:51.29 row 5 : 5 | nate boyle | united states | 1:52.83 row 6 : 6 | yannick lupien | canada | 1:52.92 row 7 : 7 | joshua ilika | mexico | 1:53.73 row 8 : 8 | javier diaz | mexico | 1:54.01 | col : nationality row 1 : brazil row 2 : united states row 3 : brazil row 4 : canada row 5 : mexico row 6 : mexico | select nationality where rank > 6 <table_name> : table \begin{tabular}{lllll}
\toprule
& rank & name & nationality & time \\
\midrule
0 & none & gustavo borges & brazil & 1:49.41 \\
1 & none & scott tucker & united states & 1:50.99 \\
2 & none & leonardo costa & brazil & 1:51.29 \\
3 & none & mark johnston & canada & 1:51.29 \\
4 & 5 & nate boyle & united states & 1:52.83 \\
5 & 6 & yannick lupien & canada & 1:52.92 \\
6 & 7 & joshua ilika & mexico & 1:53.73 \\
7 & 8 & javier diaz & mexico & 1:54.01 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& nationality \\
\midrule
0 & brazil \\
1 & united states \\
2 & brazil \\
3 & canada \\
4 & mexico \\
5 & mexico \\
\bottomrule
\end{tabular}
| select nationality where rank > 6 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>name</th>
<th>nationality</th>
<th>time</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>none</td>
<td>gustavo borges</td>
<td>brazil</td>
<td>1:49.41</td>
</tr>
<tr>
<th>1</th>
<td>none</td>
<td>scott tucker</td>
<td>united states</td>
<td>1:50.99</td>
</tr>
<tr>
<th>2</th>
<td>none</td>
<td>leonardo costa</td>
<td>brazil</td>
<td>1:51.29</td>
</tr>
<tr>
<th>3</th>
<td>none</td>
<td>mark johnston</td>
<td>canada</td>
<td>1:51.29</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>nate boyle</td>
<td>united states</td>
<td>1:52.83</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>yannick lupien</td>
<td>canada</td>
<td>1:52.92</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>joshua ilika</td>
<td>mexico</td>
<td>1:53.73</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>javier diaz</td>
<td>mexico</td>
<td>1:54.01</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>nationality</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>brazil</td>
</tr>
<tr>
<th>1</th>
<td>united states</td>
</tr>
<tr>
<th>2</th>
<td>brazil</td>
</tr>
<tr>
<th>3</th>
<td>canada</td>
</tr>
<tr>
<th>4</th>
<td>mexico</td>
</tr>
<tr>
<th>5</th>
<td>mexico</td>
</tr>
</tbody>
</table> | select nationality where rank > 6 <table_name> : table | | rank | name | nationality | time |
|---:|:-------|:---------------|:--------------|:--------|
| 0 | none | gustavo borges | brazil | 1:49.41 |
| 1 | none | scott tucker | united states | 1:50.99 |
| 2 | none | leonardo costa | brazil | 1:51.29 |
| 3 | none | mark johnston | canada | 1:51.29 |
| 4 | 5 | nate boyle | united states | 1:52.83 |
| 5 | 6 | yannick lupien | canada | 1:52.92 |
| 6 | 7 | joshua ilika | mexico | 1:53.73 |
| 7 | 8 | javier diaz | mexico | 1:54.01 | | | | nationality |
|---:|:--------------|
| 0 | brazil |
| 1 | united states |
| 2 | brazil |
| 3 | canada |
| 4 | mexico |
| 5 | mexico | | [
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select count ( institution ) where vice-chancellor = 'professor michael farthing' col : institution | location | established | gained university status | vice-chancellor | total number of students | research funding (£,000) row 1 : birkbeck, university of london | london | 1823 | 1920 | professor david latchman | 19020 | 9985 row 2 : university of east anglia | norwich | 1963 | 1963 | professor edward acton | 19585 | 16482 row 3 : university of essex | colchester | 1964 | 1964 | professor anthony forster | 11690 | 9967 row 4 : goldsmiths, university of london | london | 1891 | 1904 | dr pat loughrey | 7615 | 8539 row 5 : institute of education, university of london | london | 1902 | 1932 | professor chris husbands | 7215 | 7734 row 6 : university of lancaster | lancaster | 1964 | 1964 | professor mark smith | 12695 | 18640 row 7 : university of leicester | leicester | 1921 | 1957 | professor robert burgess | 16160 | 22225 row 8 : loughborough university | loughborough | 1909 | 1966 | professor robert allison | 17825 | 22398 row 9 : royal holloway, university of london | egham | 1849 | 1900 | professor paul layzell (principal) | 7620 | 13699 row 10 : soas, university of london | london | 1916 | 1916 | professor paul webley | 4525 | 7238 row 11 : university of sussex | brighton | 1961 | 1961 | professor michael farthing | 12415 | 16196 | col : count ( "institution" ) row 1 : 1 | select count ( institution ) where vice-chancellor = 'professor michael farthing' <table_name> : table \begin{tabular}{llllllll}
\toprule
& institution & location & established & gained university status & vice-chancellor & total number of students & research funding (£,000) \\
\midrule
0 & birkbeck, university of london & london & 1823 & 1920 & professor david latchman & 19020 & 9985 \\
1 & university of east anglia & norwich & 1963 & 1963 & professor edward acton & 19585 & 16482 \\
2 & university of essex & colchester & 1964 & 1964 & professor anthony forster & 11690 & 9967 \\
3 & goldsmiths, university of london & london & 1891 & 1904 & dr pat loughrey & 7615 & 8539 \\
4 & institute of education, university of london & london & 1902 & 1932 & professor chris husbands & 7215 & 7734 \\
5 & university of lancaster & lancaster & 1964 & 1964 & professor mark smith & 12695 & 18640 \\
6 & university of leicester & leicester & 1921 & 1957 & professor robert burgess & 16160 & 22225 \\
7 & loughborough university & loughborough & 1909 & 1966 & professor robert allison & 17825 & 22398 \\
8 & royal holloway, university of london & egham & 1849 & 1900 & professor paul layzell (principal) & 7620 & 13699 \\
9 & soas, university of london & london & 1916 & 1916 & professor paul webley & 4525 & 7238 \\
10 & university of sussex & brighton & 1961 & 1961 & professor michael farthing & 12415 & 16196 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "institution" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( institution ) where vice-chancellor = 'professor michael farthing' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>institution</th>
<th>location</th>
<th>established</th>
<th>gained university status</th>
<th>vice-chancellor</th>
<th>total number of students</th>
<th>research funding (£,000)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>birkbeck, university of london</td>
<td>london</td>
<td>1823</td>
<td>1920</td>
<td>professor david latchman</td>
<td>19020</td>
<td>9985</td>
</tr>
<tr>
<th>1</th>
<td>university of east anglia</td>
<td>norwich</td>
<td>1963</td>
<td>1963</td>
<td>professor edward acton</td>
<td>19585</td>
<td>16482</td>
</tr>
<tr>
<th>2</th>
<td>university of essex</td>
<td>colchester</td>
<td>1964</td>
<td>1964</td>
<td>professor anthony forster</td>
<td>11690</td>
<td>9967</td>
</tr>
<tr>
<th>3</th>
<td>goldsmiths, university of london</td>
<td>london</td>
<td>1891</td>
<td>1904</td>
<td>dr pat loughrey</td>
<td>7615</td>
<td>8539</td>
</tr>
<tr>
<th>4</th>
<td>institute of education, university of london</td>
<td>london</td>
<td>1902</td>
<td>1932</td>
<td>professor chris husbands</td>
<td>7215</td>
<td>7734</td>
</tr>
<tr>
<th>5</th>
<td>university of lancaster</td>
<td>lancaster</td>
<td>1964</td>
<td>1964</td>
<td>professor mark smith</td>
<td>12695</td>
<td>18640</td>
</tr>
<tr>
<th>6</th>
<td>university of leicester</td>
<td>leicester</td>
<td>1921</td>
<td>1957</td>
<td>professor robert burgess</td>
<td>16160</td>
<td>22225</td>
</tr>
<tr>
<th>7</th>
<td>loughborough university</td>
<td>loughborough</td>
<td>1909</td>
<td>1966</td>
<td>professor robert allison</td>
<td>17825</td>
<td>22398</td>
</tr>
<tr>
<th>8</th>
<td>royal holloway, university of london</td>
<td>egham</td>
<td>1849</td>
<td>1900</td>
<td>professor paul layzell (principal)</td>
<td>7620</td>
<td>13699</td>
</tr>
<tr>
<th>9</th>
<td>soas, university of london</td>
<td>london</td>
<td>1916</td>
<td>1916</td>
<td>professor paul webley</td>
<td>4525</td>
<td>7238</td>
</tr>
<tr>
<th>10</th>
<td>university of sussex</td>
<td>brighton</td>
<td>1961</td>
<td>1961</td>
<td>professor michael farthing</td>
<td>12415</td>
<td>16196</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "institution" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( institution ) where vice-chancellor = 'professor michael farthing' <table_name> : table | | institution | location | established | gained university status | vice-chancellor | total number of students | research funding (£,000) |
|---:|:---------------------------------------------|:-------------|--------------:|---------------------------:|:-----------------------------------|---------------------------:|---------------------------:|
| 0 | birkbeck, university of london | london | 1823 | 1920 | professor david latchman | 19020 | 9985 |
| 1 | university of east anglia | norwich | 1963 | 1963 | professor edward acton | 19585 | 16482 |
| 2 | university of essex | colchester | 1964 | 1964 | professor anthony forster | 11690 | 9967 |
| 3 | goldsmiths, university of london | london | 1891 | 1904 | dr pat loughrey | 7615 | 8539 |
| 4 | institute of education, university of london | london | 1902 | 1932 | professor chris husbands | 7215 | 7734 |
| 5 | university of lancaster | lancaster | 1964 | 1964 | professor mark smith | 12695 | 18640 |
| 6 | university of leicester | leicester | 1921 | 1957 | professor robert burgess | 16160 | 22225 |
| 7 | loughborough university | loughborough | 1909 | 1966 | professor robert allison | 17825 | 22398 |
| 8 | royal holloway, university of london | egham | 1849 | 1900 | professor paul layzell (principal) | 7620 | 13699 |
| 9 | soas, university of london | london | 1916 | 1916 | professor paul webley | 4525 | 7238 |
| 10 | university of sussex | brighton | 1961 | 1961 | professor michael farthing | 12415 | 16196 | | | | count ( "institution" ) |
|---:|--------------------------:|
| 0 | 1 | | [
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select count ( district (area) ) where left office > 539 col : political lieutenant | district (area) | took office | left office | party leader row 1 : georges-henri heon | argenteuil (laurentides) | 1949 | 1949 | george a. drew row 2 : leon balcer | trois-rivieres (mauricie) | 1957 | 1965 | john george diefenbaker row 3 : marcel faribault | none | 1967 | 1968 | robert stanfield row 4 : claude wagner | saint-hyacinthe (monteregie) | 1972 | 1978 | robert stanfield joe clark row 5 : lucien bouchard | lac-saint-jean (saguenay-lac-saint-jean) | 1988 | 1990 | brian mulroney row 6 : benoit bouchard | roberval (saguenay-lac-saint-jean) | 1990 | 1993 | brian mulroney row 7 : monique landry | blainville-deux-montagnes (laurentides) | 1993 | 1993 | kim campbell row 8 : andre bachand | richmond-arthabaska (centre-du-quebec & eastern townships) | 1998 | 2004 | joe clark peter mackay | col : count ( "district (area" ) row 1 : 0 | select count ( district (area) ) where left office > 539 <table_name> : table \begin{tabular}{llllll}
\toprule
& political lieutenant & district (area) & took office & left office & party leader \\
\midrule
0 & georges-henri heon & argenteuil (laurentides) & 1949 & 1949 & george a. drew \\
1 & leon balcer & trois-rivieres (mauricie) & 1957 & 1965 & john george diefenbaker \\
2 & marcel faribault & none & 1967 & 1968 & robert stanfield \\
3 & claude wagner & saint-hyacinthe (monteregie) & 1972 & 1978 & robert stanfield joe clark \\
4 & lucien bouchard & lac-saint-jean (saguenay-lac-saint-jean) & 1988 & 1990 & brian mulroney \\
5 & benoit bouchard & roberval (saguenay-lac-saint-jean) & 1990 & 1993 & brian mulroney \\
6 & monique landry & blainville-deux-montagnes (laurentides) & 1993 & 1993 & kim campbell \\
7 & andre bachand & richmond-arthabaska (centre-du-quebec & eastern townships) & 1998 & 2004 & joe clark peter mackay \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "district (area" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( district (area) ) where left office > 539 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>political lieutenant</th>
<th>district (area)</th>
<th>took office</th>
<th>left office</th>
<th>party leader</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>georges-henri heon</td>
<td>argenteuil (laurentides)</td>
<td>1949</td>
<td>1949</td>
<td>george a. drew</td>
</tr>
<tr>
<th>1</th>
<td>leon balcer</td>
<td>trois-rivieres (mauricie)</td>
<td>1957</td>
<td>1965</td>
<td>john george diefenbaker</td>
</tr>
<tr>
<th>2</th>
<td>marcel faribault</td>
<td>none</td>
<td>1967</td>
<td>1968</td>
<td>robert stanfield</td>
</tr>
<tr>
<th>3</th>
<td>claude wagner</td>
<td>saint-hyacinthe (monteregie)</td>
<td>1972</td>
<td>1978</td>
<td>robert stanfield joe clark</td>
</tr>
<tr>
<th>4</th>
<td>lucien bouchard</td>
<td>lac-saint-jean (saguenay-lac-saint-jean)</td>
<td>1988</td>
<td>1990</td>
<td>brian mulroney</td>
</tr>
<tr>
<th>5</th>
<td>benoit bouchard</td>
<td>roberval (saguenay-lac-saint-jean)</td>
<td>1990</td>
<td>1993</td>
<td>brian mulroney</td>
</tr>
<tr>
<th>6</th>
<td>monique landry</td>
<td>blainville-deux-montagnes (laurentides)</td>
<td>1993</td>
<td>1993</td>
<td>kim campbell</td>
</tr>
<tr>
<th>7</th>
<td>andre bachand</td>
<td>richmond-arthabaska (centre-du-quebec & eastern townships)</td>
<td>1998</td>
<td>2004</td>
<td>joe clark peter mackay</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "district (area" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( district (area) ) where left office > 539 <table_name> : table | | political lieutenant | district (area) | took office | left office | party leader |
|---:|:-----------------------|:-----------------------------------------------------------|--------------:|--------------:|:---------------------------|
| 0 | georges-henri heon | argenteuil (laurentides) | 1949 | 1949 | george a. drew |
| 1 | leon balcer | trois-rivieres (mauricie) | 1957 | 1965 | john george diefenbaker |
| 2 | marcel faribault | none | 1967 | 1968 | robert stanfield |
| 3 | claude wagner | saint-hyacinthe (monteregie) | 1972 | 1978 | robert stanfield joe clark |
| 4 | lucien bouchard | lac-saint-jean (saguenay-lac-saint-jean) | 1988 | 1990 | brian mulroney |
| 5 | benoit bouchard | roberval (saguenay-lac-saint-jean) | 1990 | 1993 | brian mulroney |
| 6 | monique landry | blainville-deux-montagnes (laurentides) | 1993 | 1993 | kim campbell |
| 7 | andre bachand | richmond-arthabaska (centre-du-quebec & eastern townships) | 1998 | 2004 | joe clark peter mackay | | | | count ( "district (area" ) |
|---:|-----------------------------:|
| 0 | 0 | | [
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select result where year = 2007 col : year | organization | award | work | result row 1 : 2005 | 47th the television drama academy awards | best actress | hana yori dango | won row 2 : 2007 | 10th nikkan sports drama grand prix | best actress | hana yori dango 2 | won row 3 : 2007 | 16th hashida awards | newcomer award | hana yori dango 2 | won row 4 : 2007 | 2007 mtv student voice awards | best actress | hana yori dango 2 | won row 5 : 2007 | 54th the television academy drama awards | best actress | first kiss | nominated row 6 : 2008 | nickelodeon kids' choice awards | best actress | hana yori dango 2 | won row 7 : 2010 | nikkan sports grand prix (fall) | best supporting actress | veterinarian dolittle | nominated row 8 : 2011 | 3rd tama film award | best emerging actress | miracle in the pacific | won row 9 : 2011 | 35th fumiko yamaji award film awards | newcomer actress | youkame no semi | won row 10 : 2011 | 26th nikkan sport film awards | best newcomer | youkame no semi, miracle in the pacific | won row 11 : 2011 | tv navi | best actress | ohisama | won row 12 : 2011 | 70th the television drama academy awards | best actress | ohisama | won row 13 : 2012 | 35th japan academy awards | best starring actress | youkame no semi | won row 14 : 2012 | japan film festival theater staff | best actress | youkame no semi | won row 15 : 2012 | 16th nikkan sport grand prix | best actress | tokkan | nominated | col : result row 1 : won row 2 : won row 3 : won row 4 : nominated | select result where year = 2007 <table_name> : table \begin{tabular}{llllll}
\toprule
& year & organization & award & work & result \\
\midrule
0 & 2005 & 47th the television drama academy awards & best actress & hana yori dango & won \\
1 & 2007 & 10th nikkan sports drama grand prix & best actress & hana yori dango 2 & won \\
2 & 2007 & 16th hashida awards & newcomer award & hana yori dango 2 & won \\
3 & 2007 & 2007 mtv student voice awards & best actress & hana yori dango 2 & won \\
4 & 2007 & 54th the television academy drama awards & best actress & first kiss & nominated \\
5 & 2008 & nickelodeon kids' choice awards & best actress & hana yori dango 2 & won \\
6 & 2010 & nikkan sports grand prix (fall) & best supporting actress & veterinarian dolittle & nominated \\
7 & 2011 & 3rd tama film award & best emerging actress & miracle in the pacific & won \\
8 & 2011 & 35th fumiko yamaji award film awards & newcomer actress & youkame no semi & won \\
9 & 2011 & 26th nikkan sport film awards & best newcomer & youkame no semi, miracle in the pacific & won \\
10 & 2011 & tv navi & best actress & ohisama & won \\
11 & 2011 & 70th the television drama academy awards & best actress & ohisama & won \\
12 & 2012 & 35th japan academy awards & best starring actress & youkame no semi & won \\
13 & 2012 & japan film festival theater staff & best actress & youkame no semi & won \\
14 & 2012 & 16th nikkan sport grand prix & best actress & tokkan & nominated \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& result \\
\midrule
0 & won \\
1 & won \\
2 & won \\
3 & nominated \\
\bottomrule
\end{tabular}
| select result where year = 2007 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>organization</th>
<th>award</th>
<th>work</th>
<th>result</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2005</td>
<td>47th the television drama academy awards</td>
<td>best actress</td>
<td>hana yori dango</td>
<td>won</td>
</tr>
<tr>
<th>1</th>
<td>2007</td>
<td>10th nikkan sports drama grand prix</td>
<td>best actress</td>
<td>hana yori dango 2</td>
<td>won</td>
</tr>
<tr>
<th>2</th>
<td>2007</td>
<td>16th hashida awards</td>
<td>newcomer award</td>
<td>hana yori dango 2</td>
<td>won</td>
</tr>
<tr>
<th>3</th>
<td>2007</td>
<td>2007 mtv student voice awards</td>
<td>best actress</td>
<td>hana yori dango 2</td>
<td>won</td>
</tr>
<tr>
<th>4</th>
<td>2007</td>
<td>54th the television academy drama awards</td>
<td>best actress</td>
<td>first kiss</td>
<td>nominated</td>
</tr>
<tr>
<th>5</th>
<td>2008</td>
<td>nickelodeon kids' choice awards</td>
<td>best actress</td>
<td>hana yori dango 2</td>
<td>won</td>
</tr>
<tr>
<th>6</th>
<td>2010</td>
<td>nikkan sports grand prix (fall)</td>
<td>best supporting actress</td>
<td>veterinarian dolittle</td>
<td>nominated</td>
</tr>
<tr>
<th>7</th>
<td>2011</td>
<td>3rd tama film award</td>
<td>best emerging actress</td>
<td>miracle in the pacific</td>
<td>won</td>
</tr>
<tr>
<th>8</th>
<td>2011</td>
<td>35th fumiko yamaji award film awards</td>
<td>newcomer actress</td>
<td>youkame no semi</td>
<td>won</td>
</tr>
<tr>
<th>9</th>
<td>2011</td>
<td>26th nikkan sport film awards</td>
<td>best newcomer</td>
<td>youkame no semi, miracle in the pacific</td>
<td>won</td>
</tr>
<tr>
<th>10</th>
<td>2011</td>
<td>tv navi</td>
<td>best actress</td>
<td>ohisama</td>
<td>won</td>
</tr>
<tr>
<th>11</th>
<td>2011</td>
<td>70th the television drama academy awards</td>
<td>best actress</td>
<td>ohisama</td>
<td>won</td>
</tr>
<tr>
<th>12</th>
<td>2012</td>
<td>35th japan academy awards</td>
<td>best starring actress</td>
<td>youkame no semi</td>
<td>won</td>
</tr>
<tr>
<th>13</th>
<td>2012</td>
<td>japan film festival theater staff</td>
<td>best actress</td>
<td>youkame no semi</td>
<td>won</td>
</tr>
<tr>
<th>14</th>
<td>2012</td>
<td>16th nikkan sport grand prix</td>
<td>best actress</td>
<td>tokkan</td>
<td>nominated</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>result</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>won</td>
</tr>
<tr>
<th>1</th>
<td>won</td>
</tr>
<tr>
<th>2</th>
<td>won</td>
</tr>
<tr>
<th>3</th>
<td>nominated</td>
</tr>
</tbody>
</table> | select result where year = 2007 <table_name> : table | | year | organization | award | work | result |
|---:|-------:|:-----------------------------------------|:------------------------|:----------------------------------------|:----------|
| 0 | 2005 | 47th the television drama academy awards | best actress | hana yori dango | won |
| 1 | 2007 | 10th nikkan sports drama grand prix | best actress | hana yori dango 2 | won |
| 2 | 2007 | 16th hashida awards | newcomer award | hana yori dango 2 | won |
| 3 | 2007 | 2007 mtv student voice awards | best actress | hana yori dango 2 | won |
| 4 | 2007 | 54th the television academy drama awards | best actress | first kiss | nominated |
| 5 | 2008 | nickelodeon kids' choice awards | best actress | hana yori dango 2 | won |
| 6 | 2010 | nikkan sports grand prix (fall) | best supporting actress | veterinarian dolittle | nominated |
| 7 | 2011 | 3rd tama film award | best emerging actress | miracle in the pacific | won |
| 8 | 2011 | 35th fumiko yamaji award film awards | newcomer actress | youkame no semi | won |
| 9 | 2011 | 26th nikkan sport film awards | best newcomer | youkame no semi, miracle in the pacific | won |
| 10 | 2011 | tv navi | best actress | ohisama | won |
| 11 | 2011 | 70th the television drama academy awards | best actress | ohisama | won |
| 12 | 2012 | 35th japan academy awards | best starring actress | youkame no semi | won |
| 13 | 2012 | japan film festival theater staff | best actress | youkame no semi | won |
| 14 | 2012 | 16th nikkan sport grand prix | best actress | tokkan | nominated | | | | result |
|---:|:----------|
| 0 | won |
| 1 | won |
| 2 | won |
| 3 | nominated | | [
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select count ( * ) where team = 'assyriska ff' and competition = 1477 col : season | team | country | competition | matches | goals row 1 : 1999 | djurgardens if | sweden | allsvenskan | 15 | 1 row 2 : 2000 | djurgardens if | sweden | superettan | 15 | 3 row 3 : 2001 | djurgardens if | sweden | allsvenskan | 22 | 7 row 4 : 2002-2003 | grazer ak | austria | bundesliga | 24 | 6 row 5 : 2003 | denizlispor | turkey | super lig | 3 | 0 row 6 : 2003 | landskrona bois | sweden | allsvenskan | 11 | 3 row 7 : 2004 | landskrona bois | sweden | allsvenskan | 22 | 4 row 8 : 2005 | djurgardens if | sweden | allsvenskan | 24 | 12 row 9 : 2006 | djurgardens if | sweden | allsvenskan | 17 | 6 row 10 : 2007 | djurgardens if | sweden | allsvenskan | 23 | 4 row 11 : 2008 | djurgardens if | sweden | allsvenskan | 29 | 6 row 12 : 2008-09 | esbjerg fb | denmark | superliga | 6 | 0 row 13 : 2010 | aab | denmark | superliga | 3 | 1 row 14 : 2011 | assyriska ff | sweden | superettan | 19 | 5 row 15 : total | total | total | total | 233 | 58 | col : count ( "*" ) row 1 : 0 | select count ( * ) where team = 'assyriska ff' and competition = 1477 <table_name> : table \begin{tabular}{lllllll}
\toprule
& season & team & country & competition & matches & goals \\
\midrule
0 & 1999 & djurgardens if & sweden & allsvenskan & 15 & 1 \\
1 & 2000 & djurgardens if & sweden & superettan & 15 & 3 \\
2 & 2001 & djurgardens if & sweden & allsvenskan & 22 & 7 \\
3 & 2002-2003 & grazer ak & austria & bundesliga & 24 & 6 \\
4 & 2003 & denizlispor & turkey & super lig & 3 & 0 \\
5 & 2003 & landskrona bois & sweden & allsvenskan & 11 & 3 \\
6 & 2004 & landskrona bois & sweden & allsvenskan & 22 & 4 \\
7 & 2005 & djurgardens if & sweden & allsvenskan & 24 & 12 \\
8 & 2006 & djurgardens if & sweden & allsvenskan & 17 & 6 \\
9 & 2007 & djurgardens if & sweden & allsvenskan & 23 & 4 \\
10 & 2008 & djurgardens if & sweden & allsvenskan & 29 & 6 \\
11 & 2008-09 & esbjerg fb & denmark & superliga & 6 & 0 \\
12 & 2010 & aab & denmark & superliga & 3 & 1 \\
13 & 2011 & assyriska ff & sweden & superettan & 19 & 5 \\
14 & total & total & total & total & 233 & 58 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where team = 'assyriska ff' and competition = 1477 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
<th>team</th>
<th>country</th>
<th>competition</th>
<th>matches</th>
<th>goals</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1999</td>
<td>djurgardens if</td>
<td>sweden</td>
<td>allsvenskan</td>
<td>15</td>
<td>1</td>
</tr>
<tr>
<th>1</th>
<td>2000</td>
<td>djurgardens if</td>
<td>sweden</td>
<td>superettan</td>
<td>15</td>
<td>3</td>
</tr>
<tr>
<th>2</th>
<td>2001</td>
<td>djurgardens if</td>
<td>sweden</td>
<td>allsvenskan</td>
<td>22</td>
<td>7</td>
</tr>
<tr>
<th>3</th>
<td>2002-2003</td>
<td>grazer ak</td>
<td>austria</td>
<td>bundesliga</td>
<td>24</td>
<td>6</td>
</tr>
<tr>
<th>4</th>
<td>2003</td>
<td>denizlispor</td>
<td>turkey</td>
<td>super lig</td>
<td>3</td>
<td>0</td>
</tr>
<tr>
<th>5</th>
<td>2003</td>
<td>landskrona bois</td>
<td>sweden</td>
<td>allsvenskan</td>
<td>11</td>
<td>3</td>
</tr>
<tr>
<th>6</th>
<td>2004</td>
<td>landskrona bois</td>
<td>sweden</td>
<td>allsvenskan</td>
<td>22</td>
<td>4</td>
</tr>
<tr>
<th>7</th>
<td>2005</td>
<td>djurgardens if</td>
<td>sweden</td>
<td>allsvenskan</td>
<td>24</td>
<td>12</td>
</tr>
<tr>
<th>8</th>
<td>2006</td>
<td>djurgardens if</td>
<td>sweden</td>
<td>allsvenskan</td>
<td>17</td>
<td>6</td>
</tr>
<tr>
<th>9</th>
<td>2007</td>
<td>djurgardens if</td>
<td>sweden</td>
<td>allsvenskan</td>
<td>23</td>
<td>4</td>
</tr>
<tr>
<th>10</th>
<td>2008</td>
<td>djurgardens if</td>
<td>sweden</td>
<td>allsvenskan</td>
<td>29</td>
<td>6</td>
</tr>
<tr>
<th>11</th>
<td>2008-09</td>
<td>esbjerg fb</td>
<td>denmark</td>
<td>superliga</td>
<td>6</td>
<td>0</td>
</tr>
<tr>
<th>12</th>
<td>2010</td>
<td>aab</td>
<td>denmark</td>
<td>superliga</td>
<td>3</td>
<td>1</td>
</tr>
<tr>
<th>13</th>
<td>2011</td>
<td>assyriska ff</td>
<td>sweden</td>
<td>superettan</td>
<td>19</td>
<td>5</td>
</tr>
<tr>
<th>14</th>
<td>total</td>
<td>total</td>
<td>total</td>
<td>total</td>
<td>233</td>
<td>58</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( * ) where team = 'assyriska ff' and competition = 1477 <table_name> : table | | season | team | country | competition | matches | goals |
|---:|:----------|:----------------|:----------|:--------------|----------:|--------:|
| 0 | 1999 | djurgardens if | sweden | allsvenskan | 15 | 1 |
| 1 | 2000 | djurgardens if | sweden | superettan | 15 | 3 |
| 2 | 2001 | djurgardens if | sweden | allsvenskan | 22 | 7 |
| 3 | 2002-2003 | grazer ak | austria | bundesliga | 24 | 6 |
| 4 | 2003 | denizlispor | turkey | super lig | 3 | 0 |
| 5 | 2003 | landskrona bois | sweden | allsvenskan | 11 | 3 |
| 6 | 2004 | landskrona bois | sweden | allsvenskan | 22 | 4 |
| 7 | 2005 | djurgardens if | sweden | allsvenskan | 24 | 12 |
| 8 | 2006 | djurgardens if | sweden | allsvenskan | 17 | 6 |
| 9 | 2007 | djurgardens if | sweden | allsvenskan | 23 | 4 |
| 10 | 2008 | djurgardens if | sweden | allsvenskan | 29 | 6 |
| 11 | 2008-09 | esbjerg fb | denmark | superliga | 6 | 0 |
| 12 | 2010 | aab | denmark | superliga | 3 | 1 |
| 13 | 2011 | assyriska ff | sweden | superettan | 19 | 5 |
| 14 | total | total | total | total | 233 | 58 | | | | count ( "*" ) |
|---:|----------------:|
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select count ( venue ) where position = 'none' col : year | competition | venue | position | notes row 1 : 1999 | world youth championships | bydgoszcz, poland | 13th (q) | 4.60 m row 2 : 2001 | european junior championships | grosseto, italy | 7th | 5.15 m row 3 : 2002 | world junior championships | kingston, jamaica | 8th | 5.30 m row 4 : 2003 | european u23 championships | bydgoszcz, poland | 13th (q) | 5.20 m row 5 : 2005 | european u23 championships | erfurt, germany | 7th | 5.50 m row 6 : 2005 | universiade | izmir, turkey | 5th | 5.50 m row 7 : 2006 | world indoor championships | moscow, russia | 10th (q) | 5.65 m row 8 : 2006 | european championships | gothenburg, sweden | 5th | 5.65 m row 9 : 2007 | european indoor championships | birmingham, united kingdom | 16th (q) | 5.40 m row 10 : 2008 | olympic games | beijing, china | 11th | 5.45 m row 11 : 2010 | european championships | barcelona, spain | 3rd | 5.75 m row 12 : 2012 | european championships | helsinki, finland | none | nm | col : count ( "venue" ) row 1 : 1 | select count ( venue ) where position = 'none' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & competition & venue & position & notes \\
\midrule
0 & 1999 & world youth championships & bydgoszcz, poland & 13th (q) & 4.60 m \\
1 & 2001 & european junior championships & grosseto, italy & 7th & 5.15 m \\
2 & 2002 & world junior championships & kingston, jamaica & 8th & 5.30 m \\
3 & 2003 & european u23 championships & bydgoszcz, poland & 13th (q) & 5.20 m \\
4 & 2005 & european u23 championships & erfurt, germany & 7th & 5.50 m \\
5 & 2005 & universiade & izmir, turkey & 5th & 5.50 m \\
6 & 2006 & world indoor championships & moscow, russia & 10th (q) & 5.65 m \\
7 & 2006 & european championships & gothenburg, sweden & 5th & 5.65 m \\
8 & 2007 & european indoor championships & birmingham, united kingdom & 16th (q) & 5.40 m \\
9 & 2008 & olympic games & beijing, china & 11th & 5.45 m \\
10 & 2010 & european championships & barcelona, spain & 3rd & 5.75 m \\
11 & 2012 & european championships & helsinki, finland & none & nm \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "venue" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( venue ) where position = 'none' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>competition</th>
<th>venue</th>
<th>position</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1999</td>
<td>world youth championships</td>
<td>bydgoszcz, poland</td>
<td>13th (q)</td>
<td>4.60 m</td>
</tr>
<tr>
<th>1</th>
<td>2001</td>
<td>european junior championships</td>
<td>grosseto, italy</td>
<td>7th</td>
<td>5.15 m</td>
</tr>
<tr>
<th>2</th>
<td>2002</td>
<td>world junior championships</td>
<td>kingston, jamaica</td>
<td>8th</td>
<td>5.30 m</td>
</tr>
<tr>
<th>3</th>
<td>2003</td>
<td>european u23 championships</td>
<td>bydgoszcz, poland</td>
<td>13th (q)</td>
<td>5.20 m</td>
</tr>
<tr>
<th>4</th>
<td>2005</td>
<td>european u23 championships</td>
<td>erfurt, germany</td>
<td>7th</td>
<td>5.50 m</td>
</tr>
<tr>
<th>5</th>
<td>2005</td>
<td>universiade</td>
<td>izmir, turkey</td>
<td>5th</td>
<td>5.50 m</td>
</tr>
<tr>
<th>6</th>
<td>2006</td>
<td>world indoor championships</td>
<td>moscow, russia</td>
<td>10th (q)</td>
<td>5.65 m</td>
</tr>
<tr>
<th>7</th>
<td>2006</td>
<td>european championships</td>
<td>gothenburg, sweden</td>
<td>5th</td>
<td>5.65 m</td>
</tr>
<tr>
<th>8</th>
<td>2007</td>
<td>european indoor championships</td>
<td>birmingham, united kingdom</td>
<td>16th (q)</td>
<td>5.40 m</td>
</tr>
<tr>
<th>9</th>
<td>2008</td>
<td>olympic games</td>
<td>beijing, china</td>
<td>11th</td>
<td>5.45 m</td>
</tr>
<tr>
<th>10</th>
<td>2010</td>
<td>european championships</td>
<td>barcelona, spain</td>
<td>3rd</td>
<td>5.75 m</td>
</tr>
<tr>
<th>11</th>
<td>2012</td>
<td>european championships</td>
<td>helsinki, finland</td>
<td>none</td>
<td>nm</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "venue" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( venue ) where position = 'none' <table_name> : table | | year | competition | venue | position | notes |
|---:|-------:|:------------------------------|:---------------------------|:-----------|:--------|
| 0 | 1999 | world youth championships | bydgoszcz, poland | 13th (q) | 4.60 m |
| 1 | 2001 | european junior championships | grosseto, italy | 7th | 5.15 m |
| 2 | 2002 | world junior championships | kingston, jamaica | 8th | 5.30 m |
| 3 | 2003 | european u23 championships | bydgoszcz, poland | 13th (q) | 5.20 m |
| 4 | 2005 | european u23 championships | erfurt, germany | 7th | 5.50 m |
| 5 | 2005 | universiade | izmir, turkey | 5th | 5.50 m |
| 6 | 2006 | world indoor championships | moscow, russia | 10th (q) | 5.65 m |
| 7 | 2006 | european championships | gothenburg, sweden | 5th | 5.65 m |
| 8 | 2007 | european indoor championships | birmingham, united kingdom | 16th (q) | 5.40 m |
| 9 | 2008 | olympic games | beijing, china | 11th | 5.45 m |
| 10 | 2010 | european championships | barcelona, spain | 3rd | 5.75 m |
| 11 | 2012 | european championships | helsinki, finland | none | nm | | | | count ( "venue" ) |
|---:|--------------------:|
| 0 | 1 | | [
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select opened where gov = 'cy' col : name | faith | type | gov | opened | intake | dcsf number | ofsted number | web | coordinates row 1 : ashfield | none | junior | vc | 1845 | 60 | 3012 | 117391 | w | 51°38′22′′n 0°21′26′′w / 51.6394°n 0.3571°w row 2 : bournehall | none | primary | cy | 1969 | 30 | 2360 | 117296 | w | 51°39′00′′n 0°21′37′′w / 51.6499°n 0.3604°w row 3 : bushey heath | none | primary | cy | 1879 | 30 | 2012 | 117088 | w | 51°38′12′′n 0°20′29′′w / 51.6368°n 0.3413°w row 4 : bushey manor | none | junior | cy | 1907 | 60 | 2261 | 117242 | w | 51°38′49′′n 0°22′33′′w / 51.6470°n 0.3757°w row 5 : falconer | none | special | cy | none | none | 7033 | 117686 | w | 51°38′49′′n 0°22′06′′w / 51.6470°n 0.3682°w row 6 : hartsbourne | none | primary | cy | none | 30 | 2372 | 117300 | w | 51°37′52′′n 0°20′33′′w / 51.6312°n 0.3425°w row 7 : highwood | none | primary | cy | 1949 | 60 | 2013 | 117089 | w | 51°39′57′′n 0°22′30′′w / 51.6658°n 0.3750°w row 8 : little reddings | none | primary | fd | none | 51 | 5208 | 117568 | w | 51°38′51′′n 0°21′22′′w / 51.6474°n 0.3560°w row 9 : meadow wood | none | special | cy | none | none | 7043 | 117691 | w | 51°38′54′′n 0°21′02′′w / 51.6483°n 0.3506°w row 10 : merry hill | none | infants | cy | 1885 | 60 | 2014 | 117090 | w | 51°38′17′′n 0°21′20′′w / 51.6380°n 0.3555°w row 11 : sacred heart | rc | primary | va | 1970 | 40 | 3415 | 117488 | w | 51°38′38′′n 0°22′16′′w / 51.6440°n 0.3711°w | col : opened row 1 : 1969 row 2 : 1879 row 3 : 1907 row 4 : none row 5 : none row 6 : 1949 row 7 : none row 8 : 1885 | select opened where gov = 'cy' <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& name & faith & type & gov & opened & intake & dcsf number & ofsted number & web & coordinates \\
\midrule
0 & ashfield & none & junior & vc & 1845 & 60 & 3012 & 117391 & w & 51°38′22′′n 0°21′26′′w / 51.6394°n 0.3571°w \\
1 & bournehall & none & primary & cy & 1969 & 30 & 2360 & 117296 & w & 51°39′00′′n 0°21′37′′w / 51.6499°n 0.3604°w \\
2 & bushey heath & none & primary & cy & 1879 & 30 & 2012 & 117088 & w & 51°38′12′′n 0°20′29′′w / 51.6368°n 0.3413°w \\
3 & bushey manor & none & junior & cy & 1907 & 60 & 2261 & 117242 & w & 51°38′49′′n 0°22′33′′w / 51.6470°n 0.3757°w \\
4 & falconer & none & special & cy & none & none & 7033 & 117686 & w & 51°38′49′′n 0°22′06′′w / 51.6470°n 0.3682°w \\
5 & hartsbourne & none & primary & cy & none & 30 & 2372 & 117300 & w & 51°37′52′′n 0°20′33′′w / 51.6312°n 0.3425°w \\
6 & highwood & none & primary & cy & 1949 & 60 & 2013 & 117089 & w & 51°39′57′′n 0°22′30′′w / 51.6658°n 0.3750°w \\
7 & little reddings & none & primary & fd & none & 51 & 5208 & 117568 & w & 51°38′51′′n 0°21′22′′w / 51.6474°n 0.3560°w \\
8 & meadow wood & none & special & cy & none & none & 7043 & 117691 & w & 51°38′54′′n 0°21′02′′w / 51.6483°n 0.3506°w \\
9 & merry hill & none & infants & cy & 1885 & 60 & 2014 & 117090 & w & 51°38′17′′n 0°21′20′′w / 51.6380°n 0.3555°w \\
10 & sacred heart & rc & primary & va & 1970 & 40 & 3415 & 117488 & w & 51°38′38′′n 0°22′16′′w / 51.6440°n 0.3711°w \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& opened \\
\midrule
0 & 1969 \\
1 & 1879 \\
2 & 1907 \\
3 & none \\
4 & none \\
5 & 1949 \\
6 & none \\
7 & 1885 \\
\bottomrule
\end{tabular}
| select opened where gov = 'cy' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
<th>faith</th>
<th>type</th>
<th>gov</th>
<th>opened</th>
<th>intake</th>
<th>dcsf number</th>
<th>ofsted number</th>
<th>web</th>
<th>coordinates</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>ashfield</td>
<td>none</td>
<td>junior</td>
<td>vc</td>
<td>1845</td>
<td>60</td>
<td>3012</td>
<td>117391</td>
<td>w</td>
<td>51°38′22′′n 0°21′26′′w / 51.6394°n 0.3571°w</td>
</tr>
<tr>
<th>1</th>
<td>bournehall</td>
<td>none</td>
<td>primary</td>
<td>cy</td>
<td>1969</td>
<td>30</td>
<td>2360</td>
<td>117296</td>
<td>w</td>
<td>51°39′00′′n 0°21′37′′w / 51.6499°n 0.3604°w</td>
</tr>
<tr>
<th>2</th>
<td>bushey heath</td>
<td>none</td>
<td>primary</td>
<td>cy</td>
<td>1879</td>
<td>30</td>
<td>2012</td>
<td>117088</td>
<td>w</td>
<td>51°38′12′′n 0°20′29′′w / 51.6368°n 0.3413°w</td>
</tr>
<tr>
<th>3</th>
<td>bushey manor</td>
<td>none</td>
<td>junior</td>
<td>cy</td>
<td>1907</td>
<td>60</td>
<td>2261</td>
<td>117242</td>
<td>w</td>
<td>51°38′49′′n 0°22′33′′w / 51.6470°n 0.3757°w</td>
</tr>
<tr>
<th>4</th>
<td>falconer</td>
<td>none</td>
<td>special</td>
<td>cy</td>
<td>none</td>
<td>none</td>
<td>7033</td>
<td>117686</td>
<td>w</td>
<td>51°38′49′′n 0°22′06′′w / 51.6470°n 0.3682°w</td>
</tr>
<tr>
<th>5</th>
<td>hartsbourne</td>
<td>none</td>
<td>primary</td>
<td>cy</td>
<td>none</td>
<td>30</td>
<td>2372</td>
<td>117300</td>
<td>w</td>
<td>51°37′52′′n 0°20′33′′w / 51.6312°n 0.3425°w</td>
</tr>
<tr>
<th>6</th>
<td>highwood</td>
<td>none</td>
<td>primary</td>
<td>cy</td>
<td>1949</td>
<td>60</td>
<td>2013</td>
<td>117089</td>
<td>w</td>
<td>51°39′57′′n 0°22′30′′w / 51.6658°n 0.3750°w</td>
</tr>
<tr>
<th>7</th>
<td>little reddings</td>
<td>none</td>
<td>primary</td>
<td>fd</td>
<td>none</td>
<td>51</td>
<td>5208</td>
<td>117568</td>
<td>w</td>
<td>51°38′51′′n 0°21′22′′w / 51.6474°n 0.3560°w</td>
</tr>
<tr>
<th>8</th>
<td>meadow wood</td>
<td>none</td>
<td>special</td>
<td>cy</td>
<td>none</td>
<td>none</td>
<td>7043</td>
<td>117691</td>
<td>w</td>
<td>51°38′54′′n 0°21′02′′w / 51.6483°n 0.3506°w</td>
</tr>
<tr>
<th>9</th>
<td>merry hill</td>
<td>none</td>
<td>infants</td>
<td>cy</td>
<td>1885</td>
<td>60</td>
<td>2014</td>
<td>117090</td>
<td>w</td>
<td>51°38′17′′n 0°21′20′′w / 51.6380°n 0.3555°w</td>
</tr>
<tr>
<th>10</th>
<td>sacred heart</td>
<td>rc</td>
<td>primary</td>
<td>va</td>
<td>1970</td>
<td>40</td>
<td>3415</td>
<td>117488</td>
<td>w</td>
<td>51°38′38′′n 0°22′16′′w / 51.6440°n 0.3711°w</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>opened</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1969</td>
</tr>
<tr>
<th>1</th>
<td>1879</td>
</tr>
<tr>
<th>2</th>
<td>1907</td>
</tr>
<tr>
<th>3</th>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>1949</td>
</tr>
<tr>
<th>6</th>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>1885</td>
</tr>
</tbody>
</table> | select opened where gov = 'cy' <table_name> : table | | name | faith | type | gov | opened | intake | dcsf number | ofsted number | web | coordinates |
|---:|:----------------|:--------|:--------|:------|:---------|:---------|--------------:|----------------:|:------|:--------------------------------------------|
| 0 | ashfield | none | junior | vc | 1845 | 60 | 3012 | 117391 | w | 51°38′22′′n 0°21′26′′w / 51.6394°n 0.3571°w |
| 1 | bournehall | none | primary | cy | 1969 | 30 | 2360 | 117296 | w | 51°39′00′′n 0°21′37′′w / 51.6499°n 0.3604°w |
| 2 | bushey heath | none | primary | cy | 1879 | 30 | 2012 | 117088 | w | 51°38′12′′n 0°20′29′′w / 51.6368°n 0.3413°w |
| 3 | bushey manor | none | junior | cy | 1907 | 60 | 2261 | 117242 | w | 51°38′49′′n 0°22′33′′w / 51.6470°n 0.3757°w |
| 4 | falconer | none | special | cy | none | none | 7033 | 117686 | w | 51°38′49′′n 0°22′06′′w / 51.6470°n 0.3682°w |
| 5 | hartsbourne | none | primary | cy | none | 30 | 2372 | 117300 | w | 51°37′52′′n 0°20′33′′w / 51.6312°n 0.3425°w |
| 6 | highwood | none | primary | cy | 1949 | 60 | 2013 | 117089 | w | 51°39′57′′n 0°22′30′′w / 51.6658°n 0.3750°w |
| 7 | little reddings | none | primary | fd | none | 51 | 5208 | 117568 | w | 51°38′51′′n 0°21′22′′w / 51.6474°n 0.3560°w |
| 8 | meadow wood | none | special | cy | none | none | 7043 | 117691 | w | 51°38′54′′n 0°21′02′′w / 51.6483°n 0.3506°w |
| 9 | merry hill | none | infants | cy | 1885 | 60 | 2014 | 117090 | w | 51°38′17′′n 0°21′20′′w / 51.6380°n 0.3555°w |
| 10 | sacred heart | rc | primary | va | 1970 | 40 | 3415 | 117488 | w | 51°38′38′′n 0°22′16′′w / 51.6440°n 0.3711°w | | | | opened |
|---:|:---------|
| 0 | 1969 |
| 1 | 1879 |
| 2 | 1907 |
| 3 | none |
| 4 | none |
| 5 | 1949 |
| 6 | none |
| 7 | 1885 | | [
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] |
select score where year = 2004 col : year | premiers | score -1 | runners up | score -2 row 1 : 2003 | centrals trinity beach bulldogs | 14.11 (95) | north cairns | 6.7 (43) row 2 : 2004 | port douglas crocs | 17.13 (115) | north cairns tigers | 8.9 (57) row 3 : 2005 | port douglas crocs | 19.14 (128) | cairns saints | 4.11 (35) row 4 : 2006 | manunda hawks | 11.11 (77) | centrals trinity beach bulldogs | 10.9 (69) row 5 : 2007 | centrals trinity beach bulldogs | 14.16 (100) | cairns saints | 11.2 (68) row 6 : 2008 | cairns saints | 12.15 (87) | north cairns tigers | 2.9 (21) row 7 : 2009 | south cairns cutters | 9.11 (65) | cairns saints | 9.4 (58) row 8 : 2010 | north cairns tigers | 8.10 (58) | port douglas crocs | 8.5 (53) row 9 : 2011 | manunda hawks | 11.8 (74) | port douglas crocs | 6.9 (45) row 10 : 2012 | cairns saints | 17.6 (108) | north cairns tigers | 11.12 (78) row 11 : 2013 | north cairns tigers | 14.14 (98) | port douglas crocs | 13.6 (84) | col : score row 1 : 8.9 (57) | select score where year = 2004 <table_name> : table \begin{tabular}{llllll}
\toprule
& year & premiers & score -1 & runners up & score -2 \\
\midrule
0 & 2003 & centrals trinity beach bulldogs & 14.11 (95) & north cairns & 6.7 (43) \\
1 & 2004 & port douglas crocs & 17.13 (115) & north cairns tigers & 8.9 (57) \\
2 & 2005 & port douglas crocs & 19.14 (128) & cairns saints & 4.11 (35) \\
3 & 2006 & manunda hawks & 11.11 (77) & centrals trinity beach bulldogs & 10.9 (69) \\
4 & 2007 & centrals trinity beach bulldogs & 14.16 (100) & cairns saints & 11.2 (68) \\
5 & 2008 & cairns saints & 12.15 (87) & north cairns tigers & 2.9 (21) \\
6 & 2009 & south cairns cutters & 9.11 (65) & cairns saints & 9.4 (58) \\
7 & 2010 & north cairns tigers & 8.10 (58) & port douglas crocs & 8.5 (53) \\
8 & 2011 & manunda hawks & 11.8 (74) & port douglas crocs & 6.9 (45) \\
9 & 2012 & cairns saints & 17.6 (108) & north cairns tigers & 11.12 (78) \\
10 & 2013 & north cairns tigers & 14.14 (98) & port douglas crocs & 13.6 (84) \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& score \\
\midrule
0 & 8.9 (57) \\
\bottomrule
\end{tabular}
| select score where year = 2004 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>premiers</th>
<th>score -1</th>
<th>runners up</th>
<th>score -2</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2003</td>
<td>centrals trinity beach bulldogs</td>
<td>14.11 (95)</td>
<td>north cairns</td>
<td>6.7 (43)</td>
</tr>
<tr>
<th>1</th>
<td>2004</td>
<td>port douglas crocs</td>
<td>17.13 (115)</td>
<td>north cairns tigers</td>
<td>8.9 (57)</td>
</tr>
<tr>
<th>2</th>
<td>2005</td>
<td>port douglas crocs</td>
<td>19.14 (128)</td>
<td>cairns saints</td>
<td>4.11 (35)</td>
</tr>
<tr>
<th>3</th>
<td>2006</td>
<td>manunda hawks</td>
<td>11.11 (77)</td>
<td>centrals trinity beach bulldogs</td>
<td>10.9 (69)</td>
</tr>
<tr>
<th>4</th>
<td>2007</td>
<td>centrals trinity beach bulldogs</td>
<td>14.16 (100)</td>
<td>cairns saints</td>
<td>11.2 (68)</td>
</tr>
<tr>
<th>5</th>
<td>2008</td>
<td>cairns saints</td>
<td>12.15 (87)</td>
<td>north cairns tigers</td>
<td>2.9 (21)</td>
</tr>
<tr>
<th>6</th>
<td>2009</td>
<td>south cairns cutters</td>
<td>9.11 (65)</td>
<td>cairns saints</td>
<td>9.4 (58)</td>
</tr>
<tr>
<th>7</th>
<td>2010</td>
<td>north cairns tigers</td>
<td>8.10 (58)</td>
<td>port douglas crocs</td>
<td>8.5 (53)</td>
</tr>
<tr>
<th>8</th>
<td>2011</td>
<td>manunda hawks</td>
<td>11.8 (74)</td>
<td>port douglas crocs</td>
<td>6.9 (45)</td>
</tr>
<tr>
<th>9</th>
<td>2012</td>
<td>cairns saints</td>
<td>17.6 (108)</td>
<td>north cairns tigers</td>
<td>11.12 (78)</td>
</tr>
<tr>
<th>10</th>
<td>2013</td>
<td>north cairns tigers</td>
<td>14.14 (98)</td>
<td>port douglas crocs</td>
<td>13.6 (84)</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>score</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>8.9 (57)</td>
</tr>
</tbody>
</table> | select score where year = 2004 <table_name> : table | | year | premiers | score -1 | runners up | score -2 |
|---:|-------:|:--------------------------------|:------------|:--------------------------------|:-----------|
| 0 | 2003 | centrals trinity beach bulldogs | 14.11 (95) | north cairns | 6.7 (43) |
| 1 | 2004 | port douglas crocs | 17.13 (115) | north cairns tigers | 8.9 (57) |
| 2 | 2005 | port douglas crocs | 19.14 (128) | cairns saints | 4.11 (35) |
| 3 | 2006 | manunda hawks | 11.11 (77) | centrals trinity beach bulldogs | 10.9 (69) |
| 4 | 2007 | centrals trinity beach bulldogs | 14.16 (100) | cairns saints | 11.2 (68) |
| 5 | 2008 | cairns saints | 12.15 (87) | north cairns tigers | 2.9 (21) |
| 6 | 2009 | south cairns cutters | 9.11 (65) | cairns saints | 9.4 (58) |
| 7 | 2010 | north cairns tigers | 8.10 (58) | port douglas crocs | 8.5 (53) |
| 8 | 2011 | manunda hawks | 11.8 (74) | port douglas crocs | 6.9 (45) |
| 9 | 2012 | cairns saints | 17.6 (108) | north cairns tigers | 11.12 (78) |
| 10 | 2013 | north cairns tigers | 14.14 (98) | port douglas crocs | 13.6 (84) | | | | score |
|---:|:---------|
| 0 | 8.9 (57) | | [
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] |
select count ( * ) where driver > 156 col : pos | no | driver | team | laps | time/retired | grid | points row 1 : 1 | 1 | alex zanardi | chip ganassi racing | 95 | 1:52:24.080 | 2 | 20 row 2 : 2 | 6 | michael andretti | newman-haas racing | 95 | 1.921 | 3 | 16 row 3 : 3 | 12 | jimmy vasser | chip ganassi racing | 95 | 6.702 | 6 | 14 row 4 : 4 | 7 | bobby rahal | team rahal | 95 | 8.078 | 9 | 12 row 5 : 5 | 8 | bryan herta | team rahal | 95 | 12.984 | 17 | 10 row 6 : 6 | 20 | scott pruett | patrick racing | 95 | 14.607 | 8 | 8 row 7 : 7 | 10 | richie hearn | della penna motorsports | 95 | 15.305 | 13 | 6 row 8 : 8 | 25 | max papis | arciero-wells racing | 95 | 24.676 | 20 | 5 row 9 : 9 | 40 | adrian fernandez | patrick racing | 95 | 31.923 | 16 | 4 row 10 : 10 | 16 | helio castro-neves | bettenhausen racing | 95 | 32.691 | 21 | 3 row 11 : 11 | 99 | greg moore | forsythe racing | 95 | 34.926 | 12 | 2 row 12 : 12 | 17 | mauricio gugelmin | pacwest racing group | 95 | 37.64 | 19 | 1 row 13 : 13 | 24 | robby gordon | arciero-wells racing | 94 | +1 lap | 22 | none row 14 : 14 | 26 | paul tracy | team kool green | 94 | +1 lap | 10 | none row 15 : 15 | 77 | arnd meier | davis racing | 94 | +1 lap | 25 | none row 16 : 16 | 11 | christian fittipaldi | newman-haas racing | 93 | +2 laps | 5 | none row 17 : 17 | 2 | al unser, jr | marlboro team penske | 93 | +2 laps | 14 | none row 18 : 18 | 19 | michel jourdain jr | payton/coyne racing | 93 | +2 laps | 24 | none row 19 : 19 | 98 | p. j. jones | all american racing | 84 | suspension | 23 | none row 20 : 20 | 27 | dario franchitti | team kool green | 79 | brakes | 1 | 1+1 row 21 : 21 | 34 | gualter salles | payton/coyne racing | 65 | contact | 28 | none row 22 : 22 | 21 | tony kanaan | tasman motorsports group | 61 | fire | 7 | none row 23 : 23 | 3 | andre ribeiro | marlboro team penske | 54 | transmission | 11 | none row 24 : 24 | 9 | jj lehto | hogan racing | 37 | contact | 26 | none row 25 : 25 | 33 | patrick carpentier | forsythe racing | 33 | suspension | 18 | none row 26 : 26 | 18 | mark blundell | pacwest racing group | 30 | electrical | 15 | none row 27 : 27 | 5 | gil de ferran | walker racing | 26 | contact | 4 | none row 28 : 28 | 36 | alex barron | all american racing | 25 | contact | 27 | none | col : count ( "*" ) row 1 : 28 | select count ( * ) where driver > 156 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& pos & no & driver & team & laps & time/retired & grid & points \\
\midrule
0 & 1 & 1 & alex zanardi & chip ganassi racing & 95 & 1:52:24.080 & 2 & 20 \\
1 & 2 & 6 & michael andretti & newman-haas racing & 95 & 1.921 & 3 & 16 \\
2 & 3 & 12 & jimmy vasser & chip ganassi racing & 95 & 6.702 & 6 & 14 \\
3 & 4 & 7 & bobby rahal & team rahal & 95 & 8.078 & 9 & 12 \\
4 & 5 & 8 & bryan herta & team rahal & 95 & 12.984 & 17 & 10 \\
5 & 6 & 20 & scott pruett & patrick racing & 95 & 14.607 & 8 & 8 \\
6 & 7 & 10 & richie hearn & della penna motorsports & 95 & 15.305 & 13 & 6 \\
7 & 8 & 25 & max papis & arciero-wells racing & 95 & 24.676 & 20 & 5 \\
8 & 9 & 40 & adrian fernandez & patrick racing & 95 & 31.923 & 16 & 4 \\
9 & 10 & 16 & helio castro-neves & bettenhausen racing & 95 & 32.691 & 21 & 3 \\
10 & 11 & 99 & greg moore & forsythe racing & 95 & 34.926 & 12 & 2 \\
11 & 12 & 17 & mauricio gugelmin & pacwest racing group & 95 & 37.64 & 19 & 1 \\
12 & 13 & 24 & robby gordon & arciero-wells racing & 94 & +1 lap & 22 & none \\
13 & 14 & 26 & paul tracy & team kool green & 94 & +1 lap & 10 & none \\
14 & 15 & 77 & arnd meier & davis racing & 94 & +1 lap & 25 & none \\
15 & 16 & 11 & christian fittipaldi & newman-haas racing & 93 & +2 laps & 5 & none \\
16 & 17 & 2 & al unser, jr & marlboro team penske & 93 & +2 laps & 14 & none \\
17 & 18 & 19 & michel jourdain jr & payton/coyne racing & 93 & +2 laps & 24 & none \\
18 & 19 & 98 & p. j. jones & all american racing & 84 & suspension & 23 & none \\
19 & 20 & 27 & dario franchitti & team kool green & 79 & brakes & 1 & 1+1 \\
20 & 21 & 34 & gualter salles & payton/coyne racing & 65 & contact & 28 & none \\
21 & 22 & 21 & tony kanaan & tasman motorsports group & 61 & fire & 7 & none \\
22 & 23 & 3 & andre ribeiro & marlboro team penske & 54 & transmission & 11 & none \\
23 & 24 & 9 & jj lehto & hogan racing & 37 & contact & 26 & none \\
24 & 25 & 33 & patrick carpentier & forsythe racing & 33 & suspension & 18 & none \\
25 & 26 & 18 & mark blundell & pacwest racing group & 30 & electrical & 15 & none \\
26 & 27 & 5 & gil de ferran & walker racing & 26 & contact & 4 & none \\
27 & 28 & 36 & alex barron & all american racing & 25 & contact & 27 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 28 \\
\bottomrule
\end{tabular}
| select count ( * ) where driver > 156 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos</th>
<th>no</th>
<th>driver</th>
<th>team</th>
<th>laps</th>
<th>time/retired</th>
<th>grid</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>1</td>
<td>alex zanardi</td>
<td>chip ganassi racing</td>
<td>95</td>
<td>1:52:24.080</td>
<td>2</td>
<td>20</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>6</td>
<td>michael andretti</td>
<td>newman-haas racing</td>
<td>95</td>
<td>1.921</td>
<td>3</td>
<td>16</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>12</td>
<td>jimmy vasser</td>
<td>chip ganassi racing</td>
<td>95</td>
<td>6.702</td>
<td>6</td>
<td>14</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>7</td>
<td>bobby rahal</td>
<td>team rahal</td>
<td>95</td>
<td>8.078</td>
<td>9</td>
<td>12</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>8</td>
<td>bryan herta</td>
<td>team rahal</td>
<td>95</td>
<td>12.984</td>
<td>17</td>
<td>10</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>20</td>
<td>scott pruett</td>
<td>patrick racing</td>
<td>95</td>
<td>14.607</td>
<td>8</td>
<td>8</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>10</td>
<td>richie hearn</td>
<td>della penna motorsports</td>
<td>95</td>
<td>15.305</td>
<td>13</td>
<td>6</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>25</td>
<td>max papis</td>
<td>arciero-wells racing</td>
<td>95</td>
<td>24.676</td>
<td>20</td>
<td>5</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>40</td>
<td>adrian fernandez</td>
<td>patrick racing</td>
<td>95</td>
<td>31.923</td>
<td>16</td>
<td>4</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>16</td>
<td>helio castro-neves</td>
<td>bettenhausen racing</td>
<td>95</td>
<td>32.691</td>
<td>21</td>
<td>3</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>99</td>
<td>greg moore</td>
<td>forsythe racing</td>
<td>95</td>
<td>34.926</td>
<td>12</td>
<td>2</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>17</td>
<td>mauricio gugelmin</td>
<td>pacwest racing group</td>
<td>95</td>
<td>37.64</td>
<td>19</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>24</td>
<td>robby gordon</td>
<td>arciero-wells racing</td>
<td>94</td>
<td>+1 lap</td>
<td>22</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>26</td>
<td>paul tracy</td>
<td>team kool green</td>
<td>94</td>
<td>+1 lap</td>
<td>10</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>77</td>
<td>arnd meier</td>
<td>davis racing</td>
<td>94</td>
<td>+1 lap</td>
<td>25</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>11</td>
<td>christian fittipaldi</td>
<td>newman-haas racing</td>
<td>93</td>
<td>+2 laps</td>
<td>5</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>2</td>
<td>al unser, jr</td>
<td>marlboro team penske</td>
<td>93</td>
<td>+2 laps</td>
<td>14</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>19</td>
<td>michel jourdain jr</td>
<td>payton/coyne racing</td>
<td>93</td>
<td>+2 laps</td>
<td>24</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>98</td>
<td>p. j. jones</td>
<td>all american racing</td>
<td>84</td>
<td>suspension</td>
<td>23</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>27</td>
<td>dario franchitti</td>
<td>team kool green</td>
<td>79</td>
<td>brakes</td>
<td>1</td>
<td>1+1</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>34</td>
<td>gualter salles</td>
<td>payton/coyne racing</td>
<td>65</td>
<td>contact</td>
<td>28</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>21</td>
<td>tony kanaan</td>
<td>tasman motorsports group</td>
<td>61</td>
<td>fire</td>
<td>7</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>3</td>
<td>andre ribeiro</td>
<td>marlboro team penske</td>
<td>54</td>
<td>transmission</td>
<td>11</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>9</td>
<td>jj lehto</td>
<td>hogan racing</td>
<td>37</td>
<td>contact</td>
<td>26</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>25</td>
<td>33</td>
<td>patrick carpentier</td>
<td>forsythe racing</td>
<td>33</td>
<td>suspension</td>
<td>18</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>26</td>
<td>18</td>
<td>mark blundell</td>
<td>pacwest racing group</td>
<td>30</td>
<td>electrical</td>
<td>15</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>27</td>
<td>5</td>
<td>gil de ferran</td>
<td>walker racing</td>
<td>26</td>
<td>contact</td>
<td>4</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>28</td>
<td>36</td>
<td>alex barron</td>
<td>all american racing</td>
<td>25</td>
<td>contact</td>
<td>27</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>28</td>
</tr>
</tbody>
</table> | select count ( * ) where driver > 156 <table_name> : table | | pos | no | driver | team | laps | time/retired | grid | points |
|---:|------:|-----:|:---------------------|:-------------------------|-------:|:---------------|-------:|:---------|
| 0 | 1 | 1 | alex zanardi | chip ganassi racing | 95 | 1:52:24.080 | 2 | 20 |
| 1 | 2 | 6 | michael andretti | newman-haas racing | 95 | 1.921 | 3 | 16 |
| 2 | 3 | 12 | jimmy vasser | chip ganassi racing | 95 | 6.702 | 6 | 14 |
| 3 | 4 | 7 | bobby rahal | team rahal | 95 | 8.078 | 9 | 12 |
| 4 | 5 | 8 | bryan herta | team rahal | 95 | 12.984 | 17 | 10 |
| 5 | 6 | 20 | scott pruett | patrick racing | 95 | 14.607 | 8 | 8 |
| 6 | 7 | 10 | richie hearn | della penna motorsports | 95 | 15.305 | 13 | 6 |
| 7 | 8 | 25 | max papis | arciero-wells racing | 95 | 24.676 | 20 | 5 |
| 8 | 9 | 40 | adrian fernandez | patrick racing | 95 | 31.923 | 16 | 4 |
| 9 | 10 | 16 | helio castro-neves | bettenhausen racing | 95 | 32.691 | 21 | 3 |
| 10 | 11 | 99 | greg moore | forsythe racing | 95 | 34.926 | 12 | 2 |
| 11 | 12 | 17 | mauricio gugelmin | pacwest racing group | 95 | 37.64 | 19 | 1 |
| 12 | 13 | 24 | robby gordon | arciero-wells racing | 94 | +1 lap | 22 | none |
| 13 | 14 | 26 | paul tracy | team kool green | 94 | +1 lap | 10 | none |
| 14 | 15 | 77 | arnd meier | davis racing | 94 | +1 lap | 25 | none |
| 15 | 16 | 11 | christian fittipaldi | newman-haas racing | 93 | +2 laps | 5 | none |
| 16 | 17 | 2 | al unser, jr | marlboro team penske | 93 | +2 laps | 14 | none |
| 17 | 18 | 19 | michel jourdain jr | payton/coyne racing | 93 | +2 laps | 24 | none |
| 18 | 19 | 98 | p. j. jones | all american racing | 84 | suspension | 23 | none |
| 19 | 20 | 27 | dario franchitti | team kool green | 79 | brakes | 1 | 1+1 |
| 20 | 21 | 34 | gualter salles | payton/coyne racing | 65 | contact | 28 | none |
| 21 | 22 | 21 | tony kanaan | tasman motorsports group | 61 | fire | 7 | none |
| 22 | 23 | 3 | andre ribeiro | marlboro team penske | 54 | transmission | 11 | none |
| 23 | 24 | 9 | jj lehto | hogan racing | 37 | contact | 26 | none |
| 24 | 25 | 33 | patrick carpentier | forsythe racing | 33 | suspension | 18 | none |
| 25 | 26 | 18 | mark blundell | pacwest racing group | 30 | electrical | 15 | none |
| 26 | 27 | 5 | gil de ferran | walker racing | 26 | contact | 4 | none |
| 27 | 28 | 36 | alex barron | all american racing | 25 | contact | 27 | none | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 28 | | [
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select name where weight (kg) > 425 order by weight (kg) asc limit 1 col : # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription row 1 : 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-suscipe pia laudum praecamina. (o dearest nourishing mother of christ, raise praise for our pious hymn) gegossen 1535 + zerstoert 1656 + erneuert 1659 + zerborsten 1818 + umgegossen 1881 + zerschlagen 1942 + wiederum erneuert 1958 (cast 1535 + destroyed 1656 + restored 1659 + destroyed 1818 + recast 1881 + obliterated 1942 + restored again 1958) row 2 : 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis ecclesia aquen: sanctissimo imperatori patrono ac fundatori suo carolo virtute, merito, imperio vere magno debet et defert mihi nomen dedit anno 1 6 5 9 (the honour and devotion, which the royal church of aachen owes and renders to its most sacred emperor, patron and benefactor: charles, truly great in virtue, merit and rule, gave this name to me in the year 1659) row 3 : 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ordine ponor tertia, sed cum quinta tono appellata johannes(i am placed fourth in order among the friends born with me, but i call to john with the fifth tone) row 4 : 4 | johannes baptista | e1 +7 | 1225 | 1217 | johannes baptista ora pro nobis. in ludo haud in agro florens nos curia fecit sed longo sub argo fudit nos ipse decano. an o. 1 6 5 6 (john the baptist pray for us. flourishing in play not in toil, he made us with care, but poured us under a vigilant supervisor. 1656) row 5 : 5 | leopardus | fis1 +3 | 850 | 1078 | sancte leoparde ora pro nobis anno 1 6 5 9 (saint leopardus pray for us. made 1659.) row 6 : 6 | stephanus | g1 +8 | 715 | 1027 | sancte stephane ora pro nobis anno 1 6 5 9 (st stephen pray for us. made 1659.) row 7 : 7 | petrus | a1 +1 | 425 | 894 | sancte petre ora pro nobis anno 1 6 5 9 (st. peter pray for us. made 1659.) row 8 : 8 | simeon | h1 +8 | 290 | 793 | sancte simeon juste et timorate ora pro nobis (st simon, just and devout, pray for us) | col : name row 1 : maria row 2 : leopardus row 3 : stephanus | select name where weight (kg) > 425 order by weight (kg) asc limit 1 <table_name> : table \begin{tabular}{lllllll}
\toprule
& # & name & strike tone (st-1/16) & weight (kg) & diameter (mm) & inscription \\
\midrule
0 & 1 & maria & g0 +8 & 6045 & 2075 & + o mater alma christi carissima-suscipe pia laudum praecamina. (o dearest nourishing mother of christ, raise praise for our pious hymn) gegossen 1535 + zerstoert 1656 + erneuert 1659 + zerborsten 1818 + umgegossen 1881 + zerschlagen 1942 + wiederum erneuert 1958 (cast 1535 + destroyed 1656 + restored 1659 + destroyed 1818 + recast 1881 + obliterated 1942 + restored again 1958) \\
1 & 2 & carolus & h0 +7 & 2900 & 1628 & honor et cultus, quem regalis ecclesia aquen: sanctissimo imperatori patrono ac fundatori suo carolo virtute, merito, imperio vere magno debet et defert mihi nomen dedit anno 1 6 5 9 (the honour and devotion, which the royal church of aachen owes and renders to its most sacred emperor, patron and benefactor: charles, truly great in virtue, merit and rule, gave this name to me in the year 1659) \\
2 & 3 & johannes evangelista & d1 +8 & 1400 & 1367 & nascentes inter socias mecum ordine ponor tertia, sed cum quinta tono appellata johannes(i am placed fourth in order among the friends born with me, but i call to john with the fifth tone) \\
3 & 4 & johannes baptista & e1 +7 & 1225 & 1217 & johannes baptista ora pro nobis. in ludo haud in agro florens nos curia fecit sed longo sub argo fudit nos ipse decano. an o. 1 6 5 6 (john the baptist pray for us. flourishing in play not in toil, he made us with care, but poured us under a vigilant supervisor. 1656) \\
4 & 5 & leopardus & fis1 +3 & 850 & 1078 & sancte leoparde ora pro nobis anno 1 6 5 9 (saint leopardus pray for us. made 1659.) \\
5 & 6 & stephanus & g1 +8 & 715 & 1027 & sancte stephane ora pro nobis anno 1 6 5 9 (st stephen pray for us. made 1659.) \\
6 & 7 & petrus & a1 +1 & 425 & 894 & sancte petre ora pro nobis anno 1 6 5 9 (st. peter pray for us. made 1659.) \\
7 & 8 & simeon & h1 +8 & 290 & 793 & sancte simeon juste et timorate ora pro nobis (st simon, just and devout, pray for us) \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& name \\
\midrule
0 & maria \\
1 & leopardus \\
2 & stephanus \\
\bottomrule
\end{tabular}
| select name where weight (kg) > 425 order by weight (kg) asc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>name</th>
<th>strike tone (st-1/16)</th>
<th>weight (kg)</th>
<th>diameter (mm)</th>
<th>inscription</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>maria</td>
<td>g0 +8</td>
<td>6045</td>
<td>2075</td>
<td>+ o mater alma christi carissima-suscipe pia laudum praecamina. (o dearest nourishing mother of christ, raise praise for our pious hymn) gegossen 1535 + zerstoert 1656 + erneuert 1659 + zerborsten 1818 + umgegossen 1881 + zerschlagen 1942 + wiederum erneuert 1958 (cast 1535 + destroyed 1656 + restored 1659 + destroyed 1818 + recast 1881 + obliterated 1942 + restored again 1958)</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>carolus</td>
<td>h0 +7</td>
<td>2900</td>
<td>1628</td>
<td>honor et cultus, quem regalis ecclesia aquen: sanctissimo imperatori patrono ac fundatori suo carolo virtute, merito, imperio vere magno debet et defert mihi nomen dedit anno 1 6 5 9 (the honour and devotion, which the royal church of aachen owes and renders to its most sacred emperor, patron and benefactor: charles, truly great in virtue, merit and rule, gave this name to me in the year 1659)</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>johannes evangelista</td>
<td>d1 +8</td>
<td>1400</td>
<td>1367</td>
<td>nascentes inter socias mecum ordine ponor tertia, sed cum quinta tono appellata johannes(i am placed fourth in order among the friends born with me, but i call to john with the fifth tone)</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>johannes baptista</td>
<td>e1 +7</td>
<td>1225</td>
<td>1217</td>
<td>johannes baptista ora pro nobis. in ludo haud in agro florens nos curia fecit sed longo sub argo fudit nos ipse decano. an o. 1 6 5 6 (john the baptist pray for us. flourishing in play not in toil, he made us with care, but poured us under a vigilant supervisor. 1656)</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>leopardus</td>
<td>fis1 +3</td>
<td>850</td>
<td>1078</td>
<td>sancte leoparde ora pro nobis anno 1 6 5 9 (saint leopardus pray for us. made 1659.)</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>stephanus</td>
<td>g1 +8</td>
<td>715</td>
<td>1027</td>
<td>sancte stephane ora pro nobis anno 1 6 5 9 (st stephen pray for us. made 1659.)</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>petrus</td>
<td>a1 +1</td>
<td>425</td>
<td>894</td>
<td>sancte petre ora pro nobis anno 1 6 5 9 (st. peter pray for us. made 1659.)</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>simeon</td>
<td>h1 +8</td>
<td>290</td>
<td>793</td>
<td>sancte simeon juste et timorate ora pro nobis (st simon, just and devout, pray for us)</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>maria</td>
</tr>
<tr>
<th>1</th>
<td>leopardus</td>
</tr>
<tr>
<th>2</th>
<td>stephanus</td>
</tr>
</tbody>
</table> | select name where weight (kg) > 425 order by weight (kg) asc limit 1 <table_name> : table | | # | name | strike tone (st-1/16) | weight (kg) | diameter (mm) | inscription |
|---:|----:|:---------------------|:------------------------|--------------:|----------------:|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 1 | maria | g0 +8 | 6045 | 2075 | + o mater alma christi carissima-suscipe pia laudum praecamina. (o dearest nourishing mother of christ, raise praise for our pious hymn) gegossen 1535 + zerstoert 1656 + erneuert 1659 + zerborsten 1818 + umgegossen 1881 + zerschlagen 1942 + wiederum erneuert 1958 (cast 1535 + destroyed 1656 + restored 1659 + destroyed 1818 + recast 1881 + obliterated 1942 + restored again 1958) |
| 1 | 2 | carolus | h0 +7 | 2900 | 1628 | honor et cultus, quem regalis ecclesia aquen: sanctissimo imperatori patrono ac fundatori suo carolo virtute, merito, imperio vere magno debet et defert mihi nomen dedit anno 1 6 5 9 (the honour and devotion, which the royal church of aachen owes and renders to its most sacred emperor, patron and benefactor: charles, truly great in virtue, merit and rule, gave this name to me in the year 1659) |
| 2 | 3 | johannes evangelista | d1 +8 | 1400 | 1367 | nascentes inter socias mecum ordine ponor tertia, sed cum quinta tono appellata johannes(i am placed fourth in order among the friends born with me, but i call to john with the fifth tone) |
| 3 | 4 | johannes baptista | e1 +7 | 1225 | 1217 | johannes baptista ora pro nobis. in ludo haud in agro florens nos curia fecit sed longo sub argo fudit nos ipse decano. an o. 1 6 5 6 (john the baptist pray for us. flourishing in play not in toil, he made us with care, but poured us under a vigilant supervisor. 1656) |
| 4 | 5 | leopardus | fis1 +3 | 850 | 1078 | sancte leoparde ora pro nobis anno 1 6 5 9 (saint leopardus pray for us. made 1659.) |
| 5 | 6 | stephanus | g1 +8 | 715 | 1027 | sancte stephane ora pro nobis anno 1 6 5 9 (st stephen pray for us. made 1659.) |
| 6 | 7 | petrus | a1 +1 | 425 | 894 | sancte petre ora pro nobis anno 1 6 5 9 (st. peter pray for us. made 1659.) |
| 7 | 8 | simeon | h1 +8 | 290 | 793 | sancte simeon juste et timorate ora pro nobis (st simon, just and devout, pray for us) | | | | name |
|---:|:----------|
| 0 | maria |
| 1 | leopardus |
| 2 | stephanus | | [
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] |
select count ( treaty ) where ratified > 330 col : treaty | organization | introduced | signed | ratified row 1 : convention on the prevention and punishment of the crime of genocide | united nations | 1948 | none | 1958 row 2 : international convention on the elimination of all forms of racial discrimination | united nations | 1966 | 1967 | 1970 row 3 : international covenant on economic, social and cultural rights | united nations | 1966 | 1977 | 1979 row 4 : international covenant on civil and political rights | united nations | 1966 | 1977 | 1979 row 5 : first optional protocol to the international covenant on civil and political rights | united nations | 1966 | none | none row 6 : convention on the non-applicability of statutory limitations to war crimes and crimes against humanity | united nations | 1968 | none | none row 7 : international convention on the suppression and punishment of the crime of apartheid | united nations | 1973 | none | none row 8 : convention on the elimination of all forms of discrimination against women | united nations | 1979 | none | 1993 row 9 : convention against torture and other cruel, inhuman or degrading treatment or punishment | united nations | 1984 | 1986 | 1993 row 10 : convention on the rights of the child | united nations | 1989 | 1990 | 1993 row 11 : second optional protocol to the international covenant on civil and political rights, aiming at the abolition of the death penalty | united nations | 1989 | none | none row 12 : international convention on the protection of the rights of all migrant workers and members of their families | united nations | 1990 | 1991 | 1993 row 13 : optional protocol to the convention on the elimination of all forms of discrimination against women | united nations | 1999 | none | none row 14 : optional protocol to the convention on the rights of the child on the involvement of children in armed conflict | united nations | 2000 | 2000 | 2002 row 15 : optional protocol to the convention on the rights of the child on the sale of children, child prostitution and child pornography | united nations | 2000 | 2000 | 2001 row 16 : convention on the rights of persons with disabilities | united nations | 2006 | 2007 | 2009 row 17 : optional protocol to the convention on the rights of persons with disabilities | united nations | 2006 | none | 2009 row 18 : international convention for the protection of all persons from enforced disappearance | united nations | 2006 | 2007 | 2013 row 19 : optional protocol to the international covenant on economic, social and cultural rights | united nations | 2008 | none | none row 20 : optional protocol to the convention on the rights of the child on a communications procedure | united nations | 2011 | 2012 | none | col : count ( "treaty" ) row 1 : 7 | select count ( treaty ) where ratified > 330 <table_name> : table \begin{tabular}{llllll}
\toprule
& treaty & organization & introduced & signed & ratified \\
\midrule
0 & convention on the prevention and punishment of the crime of genocide & united nations & 1948 & none & 1958 \\
1 & international convention on the elimination of all forms of racial discrimination & united nations & 1966 & 1967 & 1970 \\
2 & international covenant on economic, social and cultural rights & united nations & 1966 & 1977 & 1979 \\
3 & international covenant on civil and political rights & united nations & 1966 & 1977 & 1979 \\
4 & first optional protocol to the international covenant on civil and political rights & united nations & 1966 & none & none \\
5 & convention on the non-applicability of statutory limitations to war crimes and crimes against humanity & united nations & 1968 & none & none \\
6 & international convention on the suppression and punishment of the crime of apartheid & united nations & 1973 & none & none \\
7 & convention on the elimination of all forms of discrimination against women & united nations & 1979 & none & 1993 \\
8 & convention against torture and other cruel, inhuman or degrading treatment or punishment & united nations & 1984 & 1986 & 1993 \\
9 & convention on the rights of the child & united nations & 1989 & 1990 & 1993 \\
10 & second optional protocol to the international covenant on civil and political rights, aiming at the abolition of the death penalty & united nations & 1989 & none & none \\
11 & international convention on the protection of the rights of all migrant workers and members of their families & united nations & 1990 & 1991 & 1993 \\
12 & optional protocol to the convention on the elimination of all forms of discrimination against women & united nations & 1999 & none & none \\
13 & optional protocol to the convention on the rights of the child on the involvement of children in armed conflict & united nations & 2000 & 2000 & 2002 \\
14 & optional protocol to the convention on the rights of the child on the sale of children, child prostitution and child pornography & united nations & 2000 & 2000 & 2001 \\
15 & convention on the rights of persons with disabilities & united nations & 2006 & 2007 & 2009 \\
16 & optional protocol to the convention on the rights of persons with disabilities & united nations & 2006 & none & 2009 \\
17 & international convention for the protection of all persons from enforced disappearance & united nations & 2006 & 2007 & 2013 \\
18 & optional protocol to the international covenant on economic, social and cultural rights & united nations & 2008 & none & none \\
19 & optional protocol to the convention on the rights of the child on a communications procedure & united nations & 2011 & 2012 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "treaty" ) \\
\midrule
0 & 7 \\
\bottomrule
\end{tabular}
| select count ( treaty ) where ratified > 330 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>treaty</th>
<th>organization</th>
<th>introduced</th>
<th>signed</th>
<th>ratified</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>convention on the prevention and punishment of the crime of genocide</td>
<td>united nations</td>
<td>1948</td>
<td>none</td>
<td>1958</td>
</tr>
<tr>
<th>1</th>
<td>international convention on the elimination of all forms of racial discrimination</td>
<td>united nations</td>
<td>1966</td>
<td>1967</td>
<td>1970</td>
</tr>
<tr>
<th>2</th>
<td>international covenant on economic, social and cultural rights</td>
<td>united nations</td>
<td>1966</td>
<td>1977</td>
<td>1979</td>
</tr>
<tr>
<th>3</th>
<td>international covenant on civil and political rights</td>
<td>united nations</td>
<td>1966</td>
<td>1977</td>
<td>1979</td>
</tr>
<tr>
<th>4</th>
<td>first optional protocol to the international covenant on civil and political rights</td>
<td>united nations</td>
<td>1966</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>convention on the non-applicability of statutory limitations to war crimes and crimes against humanity</td>
<td>united nations</td>
<td>1968</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>international convention on the suppression and punishment of the crime of apartheid</td>
<td>united nations</td>
<td>1973</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>convention on the elimination of all forms of discrimination against women</td>
<td>united nations</td>
<td>1979</td>
<td>none</td>
<td>1993</td>
</tr>
<tr>
<th>8</th>
<td>convention against torture and other cruel, inhuman or degrading treatment or punishment</td>
<td>united nations</td>
<td>1984</td>
<td>1986</td>
<td>1993</td>
</tr>
<tr>
<th>9</th>
<td>convention on the rights of the child</td>
<td>united nations</td>
<td>1989</td>
<td>1990</td>
<td>1993</td>
</tr>
<tr>
<th>10</th>
<td>second optional protocol to the international covenant on civil and political rights, aiming at the abolition of the death penalty</td>
<td>united nations</td>
<td>1989</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>international convention on the protection of the rights of all migrant workers and members of their families</td>
<td>united nations</td>
<td>1990</td>
<td>1991</td>
<td>1993</td>
</tr>
<tr>
<th>12</th>
<td>optional protocol to the convention on the elimination of all forms of discrimination against women</td>
<td>united nations</td>
<td>1999</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>optional protocol to the convention on the rights of the child on the involvement of children in armed conflict</td>
<td>united nations</td>
<td>2000</td>
<td>2000</td>
<td>2002</td>
</tr>
<tr>
<th>14</th>
<td>optional protocol to the convention on the rights of the child on the sale of children, child prostitution and child pornography</td>
<td>united nations</td>
<td>2000</td>
<td>2000</td>
<td>2001</td>
</tr>
<tr>
<th>15</th>
<td>convention on the rights of persons with disabilities</td>
<td>united nations</td>
<td>2006</td>
<td>2007</td>
<td>2009</td>
</tr>
<tr>
<th>16</th>
<td>optional protocol to the convention on the rights of persons with disabilities</td>
<td>united nations</td>
<td>2006</td>
<td>none</td>
<td>2009</td>
</tr>
<tr>
<th>17</th>
<td>international convention for the protection of all persons from enforced disappearance</td>
<td>united nations</td>
<td>2006</td>
<td>2007</td>
<td>2013</td>
</tr>
<tr>
<th>18</th>
<td>optional protocol to the international covenant on economic, social and cultural rights</td>
<td>united nations</td>
<td>2008</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>optional protocol to the convention on the rights of the child on a communications procedure</td>
<td>united nations</td>
<td>2011</td>
<td>2012</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "treaty" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>7</td>
</tr>
</tbody>
</table> | select count ( treaty ) where ratified > 330 <table_name> : table | | treaty | organization | introduced | signed | ratified |
|---:|:-----------------------------------------------------------------------------------------------------------------------------------|:---------------|-------------:|:---------|:-----------|
| 0 | convention on the prevention and punishment of the crime of genocide | united nations | 1948 | none | 1958 |
| 1 | international convention on the elimination of all forms of racial discrimination | united nations | 1966 | 1967 | 1970 |
| 2 | international covenant on economic, social and cultural rights | united nations | 1966 | 1977 | 1979 |
| 3 | international covenant on civil and political rights | united nations | 1966 | 1977 | 1979 |
| 4 | first optional protocol to the international covenant on civil and political rights | united nations | 1966 | none | none |
| 5 | convention on the non-applicability of statutory limitations to war crimes and crimes against humanity | united nations | 1968 | none | none |
| 6 | international convention on the suppression and punishment of the crime of apartheid | united nations | 1973 | none | none |
| 7 | convention on the elimination of all forms of discrimination against women | united nations | 1979 | none | 1993 |
| 8 | convention against torture and other cruel, inhuman or degrading treatment or punishment | united nations | 1984 | 1986 | 1993 |
| 9 | convention on the rights of the child | united nations | 1989 | 1990 | 1993 |
| 10 | second optional protocol to the international covenant on civil and political rights, aiming at the abolition of the death penalty | united nations | 1989 | none | none |
| 11 | international convention on the protection of the rights of all migrant workers and members of their families | united nations | 1990 | 1991 | 1993 |
| 12 | optional protocol to the convention on the elimination of all forms of discrimination against women | united nations | 1999 | none | none |
| 13 | optional protocol to the convention on the rights of the child on the involvement of children in armed conflict | united nations | 2000 | 2000 | 2002 |
| 14 | optional protocol to the convention on the rights of the child on the sale of children, child prostitution and child pornography | united nations | 2000 | 2000 | 2001 |
| 15 | convention on the rights of persons with disabilities | united nations | 2006 | 2007 | 2009 |
| 16 | optional protocol to the convention on the rights of persons with disabilities | united nations | 2006 | none | 2009 |
| 17 | international convention for the protection of all persons from enforced disappearance | united nations | 2006 | 2007 | 2013 |
| 18 | optional protocol to the international covenant on economic, social and cultural rights | united nations | 2008 | none | none |
| 19 | optional protocol to the convention on the rights of the child on a communications procedure | united nations | 2011 | 2012 | none | | | | count ( "treaty" ) |
|---:|---------------------:|
| 0 | 7 | | [
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select title where peak chart positions us country > 10 col : year | title | peak chart positions us country | peak chart positions us | album row 1 : 1950 | "make up your mind" | none | none | non-album singles row 2 : 1950 | "how far is heaven" | none | none | non-album singles row 3 : 1952 | "glory land march" | none | none | non-album singles row 4 : 1952 | "it wasn't god who made honky tonk angels" | 1 | 27 | country hit parade row 5 : 1952 | "a wedding ring ago" | none | none | the kitty wells story row 6 : 1953 | "the things i might have been" | none | 22 | country hit parade row 7 : 1953 | "paying for that back street affair" | 6 | none | country hit parade row 8 : 1953 | "honky tonk waltz" | none | none | country heart row 9 : 1953 | "i don't claim to be an angel" | none | none | country hit parade row 10 : 1953 | "hey joe" | 8 | none | kitty wells' golden favorites row 11 : 1953 | "cheatin's a sin" | 9 | none | country hit parade row 12 : 1954 | "release me" | 8 | none | country hit parade row 13 : 1954 | "you're not so easy to forget" | none | none | after dark row 14 : 1954 | "thou shalt not steal" | 14 | none | kitty wells row 15 : 1955 | "making believe" | 2 | none | country hit parade row 16 : 1955 | "there's poison in your heart" | 9 | none | country hit parade row 17 : 1955 | "the lonely side of town" | 7 | none | after dark row 18 : 1956 | "how far is heaven" (with carol sue) | 11 | none | singing on sunday row 19 : 1956 | "searching (for someone like you)" | 3 | none | kitty wells' golden favorites row 20 : 1956 | "repenting" | 6 | none | kitty wells' golden favorites row 21 : 1957 | "three ways (to love you)" | 7 | none | kitty wells' golden favorites row 22 : 1957 | "(i'll always be your) fraulein" | 10 | none | kitty wells' golden favorites row 23 : 1958 | "i can't stop loving you" | 3 | none | kitty wells' golden favorites row 24 : 1958 | "jealousy" | 7 | 78 | kitty wells' golden favorites row 25 : 1958 | "touch and go heart" | 15 | none | the lonely side of town row 26 : 1959 | "mommy for a day" | 5 | none | kitty wells' golden favorites row 27 : 1959 | "your wild life's gonna get you down" | 12 | none | after dark row 28 : 1959 | "amigo's guitar" | 5 | none | seasons of my heart | col : title row 1 : "make up your mind" row 2 : "how far is heaven" row 3 : "glory land march" row 4 : "a wedding ring ago" row 5 : "the things i might have been" row 6 : "paying for that back street affair" row 7 : "honky tonk waltz" row 8 : "i don't claim to be an angel" row 9 : "hey joe" row 10 : "cheatin's a sin" row 11 : "release me" row 12 : "you're not so easy to forget" row 13 : "thou shalt not steal" row 14 : "making believe" row 15 : "there's poison in your heart" row 16 : "the lonely side of town" row 17 : "how far is heaven" (with carol sue) row 18 : "searching (for someone like you)" row 19 : "repenting" row 20 : "three ways (to love you)" row 21 : "i can't stop loving you" row 22 : "jealousy" row 23 : "touch and go heart" row 24 : "mommy for a day" row 25 : "your wild life's gonna get you down" row 26 : "amigo's guitar" | select title where peak chart positions us country > 10 <table_name> : table \begin{tabular}{llllll}
\toprule
& year & title & peak chart positions us country & peak chart positions us & album \\
\midrule
0 & 1950 & "make up your mind" & none & none & non-album singles \\
1 & 1950 & "how far is heaven" & none & none & non-album singles \\
2 & 1952 & "glory land march" & none & none & non-album singles \\
3 & 1952 & "it wasn't god who made honky tonk angels" & 1 & 27 & country hit parade \\
4 & 1952 & "a wedding ring ago" & none & none & the kitty wells story \\
5 & 1953 & "the things i might have been" & none & 22 & country hit parade \\
6 & 1953 & "paying for that back street affair" & 6 & none & country hit parade \\
7 & 1953 & "honky tonk waltz" & none & none & country heart \\
8 & 1953 & "i don't claim to be an angel" & none & none & country hit parade \\
9 & 1953 & "hey joe" & 8 & none & kitty wells' golden favorites \\
10 & 1953 & "cheatin's a sin" & 9 & none & country hit parade \\
11 & 1954 & "release me" & 8 & none & country hit parade \\
12 & 1954 & "you're not so easy to forget" & none & none & after dark \\
13 & 1954 & "thou shalt not steal" & 14 & none & kitty wells \\
14 & 1955 & "making believe" & 2 & none & country hit parade \\
15 & 1955 & "there's poison in your heart" & 9 & none & country hit parade \\
16 & 1955 & "the lonely side of town" & 7 & none & after dark \\
17 & 1956 & "how far is heaven" (with carol sue) & 11 & none & singing on sunday \\
18 & 1956 & "searching (for someone like you)" & 3 & none & kitty wells' golden favorites \\
19 & 1956 & "repenting" & 6 & none & kitty wells' golden favorites \\
20 & 1957 & "three ways (to love you)" & 7 & none & kitty wells' golden favorites \\
21 & 1957 & "(i'll always be your) fraulein" & 10 & none & kitty wells' golden favorites \\
22 & 1958 & "i can't stop loving you" & 3 & none & kitty wells' golden favorites \\
23 & 1958 & "jealousy" & 7 & 78 & kitty wells' golden favorites \\
24 & 1958 & "touch and go heart" & 15 & none & the lonely side of town \\
25 & 1959 & "mommy for a day" & 5 & none & kitty wells' golden favorites \\
26 & 1959 & "your wild life's gonna get you down" & 12 & none & after dark \\
27 & 1959 & "amigo's guitar" & 5 & none & seasons of my heart \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& title \\
\midrule
0 & "make up your mind" \\
1 & "how far is heaven" \\
2 & "glory land march" \\
3 & "a wedding ring ago" \\
4 & "the things i might have been" \\
5 & "paying for that back street affair" \\
6 & "honky tonk waltz" \\
7 & "i don't claim to be an angel" \\
8 & "hey joe" \\
9 & "cheatin's a sin" \\
10 & "release me" \\
11 & "you're not so easy to forget" \\
12 & "thou shalt not steal" \\
13 & "making believe" \\
14 & "there's poison in your heart" \\
15 & "the lonely side of town" \\
16 & "how far is heaven" (with carol sue) \\
17 & "searching (for someone like you)" \\
18 & "repenting" \\
19 & "three ways (to love you)" \\
20 & "i can't stop loving you" \\
21 & "jealousy" \\
22 & "touch and go heart" \\
23 & "mommy for a day" \\
24 & "your wild life's gonna get you down" \\
25 & "amigo's guitar" \\
\bottomrule
\end{tabular}
| select title where peak chart positions us country > 10 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>title</th>
<th>peak chart positions us country</th>
<th>peak chart positions us</th>
<th>album</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1950</td>
<td>"make up your mind"</td>
<td>none</td>
<td>none</td>
<td>non-album singles</td>
</tr>
<tr>
<th>1</th>
<td>1950</td>
<td>"how far is heaven"</td>
<td>none</td>
<td>none</td>
<td>non-album singles</td>
</tr>
<tr>
<th>2</th>
<td>1952</td>
<td>"glory land march"</td>
<td>none</td>
<td>none</td>
<td>non-album singles</td>
</tr>
<tr>
<th>3</th>
<td>1952</td>
<td>"it wasn't god who made honky tonk angels"</td>
<td>1</td>
<td>27</td>
<td>country hit parade</td>
</tr>
<tr>
<th>4</th>
<td>1952</td>
<td>"a wedding ring ago"</td>
<td>none</td>
<td>none</td>
<td>the kitty wells story</td>
</tr>
<tr>
<th>5</th>
<td>1953</td>
<td>"the things i might have been"</td>
<td>none</td>
<td>22</td>
<td>country hit parade</td>
</tr>
<tr>
<th>6</th>
<td>1953</td>
<td>"paying for that back street affair"</td>
<td>6</td>
<td>none</td>
<td>country hit parade</td>
</tr>
<tr>
<th>7</th>
<td>1953</td>
<td>"honky tonk waltz"</td>
<td>none</td>
<td>none</td>
<td>country heart</td>
</tr>
<tr>
<th>8</th>
<td>1953</td>
<td>"i don't claim to be an angel"</td>
<td>none</td>
<td>none</td>
<td>country hit parade</td>
</tr>
<tr>
<th>9</th>
<td>1953</td>
<td>"hey joe"</td>
<td>8</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>10</th>
<td>1953</td>
<td>"cheatin's a sin"</td>
<td>9</td>
<td>none</td>
<td>country hit parade</td>
</tr>
<tr>
<th>11</th>
<td>1954</td>
<td>"release me"</td>
<td>8</td>
<td>none</td>
<td>country hit parade</td>
</tr>
<tr>
<th>12</th>
<td>1954</td>
<td>"you're not so easy to forget"</td>
<td>none</td>
<td>none</td>
<td>after dark</td>
</tr>
<tr>
<th>13</th>
<td>1954</td>
<td>"thou shalt not steal"</td>
<td>14</td>
<td>none</td>
<td>kitty wells</td>
</tr>
<tr>
<th>14</th>
<td>1955</td>
<td>"making believe"</td>
<td>2</td>
<td>none</td>
<td>country hit parade</td>
</tr>
<tr>
<th>15</th>
<td>1955</td>
<td>"there's poison in your heart"</td>
<td>9</td>
<td>none</td>
<td>country hit parade</td>
</tr>
<tr>
<th>16</th>
<td>1955</td>
<td>"the lonely side of town"</td>
<td>7</td>
<td>none</td>
<td>after dark</td>
</tr>
<tr>
<th>17</th>
<td>1956</td>
<td>"how far is heaven" (with carol sue)</td>
<td>11</td>
<td>none</td>
<td>singing on sunday</td>
</tr>
<tr>
<th>18</th>
<td>1956</td>
<td>"searching (for someone like you)"</td>
<td>3</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>19</th>
<td>1956</td>
<td>"repenting"</td>
<td>6</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>20</th>
<td>1957</td>
<td>"three ways (to love you)"</td>
<td>7</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>21</th>
<td>1957</td>
<td>"(i'll always be your) fraulein"</td>
<td>10</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>22</th>
<td>1958</td>
<td>"i can't stop loving you"</td>
<td>3</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>23</th>
<td>1958</td>
<td>"jealousy"</td>
<td>7</td>
<td>78</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>24</th>
<td>1958</td>
<td>"touch and go heart"</td>
<td>15</td>
<td>none</td>
<td>the lonely side of town</td>
</tr>
<tr>
<th>25</th>
<td>1959</td>
<td>"mommy for a day"</td>
<td>5</td>
<td>none</td>
<td>kitty wells' golden favorites</td>
</tr>
<tr>
<th>26</th>
<td>1959</td>
<td>"your wild life's gonna get you down"</td>
<td>12</td>
<td>none</td>
<td>after dark</td>
</tr>
<tr>
<th>27</th>
<td>1959</td>
<td>"amigo's guitar"</td>
<td>5</td>
<td>none</td>
<td>seasons of my heart</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>title</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>"make up your mind"</td>
</tr>
<tr>
<th>1</th>
<td>"how far is heaven"</td>
</tr>
<tr>
<th>2</th>
<td>"glory land march"</td>
</tr>
<tr>
<th>3</th>
<td>"a wedding ring ago"</td>
</tr>
<tr>
<th>4</th>
<td>"the things i might have been"</td>
</tr>
<tr>
<th>5</th>
<td>"paying for that back street affair"</td>
</tr>
<tr>
<th>6</th>
<td>"honky tonk waltz"</td>
</tr>
<tr>
<th>7</th>
<td>"i don't claim to be an angel"</td>
</tr>
<tr>
<th>8</th>
<td>"hey joe"</td>
</tr>
<tr>
<th>9</th>
<td>"cheatin's a sin"</td>
</tr>
<tr>
<th>10</th>
<td>"release me"</td>
</tr>
<tr>
<th>11</th>
<td>"you're not so easy to forget"</td>
</tr>
<tr>
<th>12</th>
<td>"thou shalt not steal"</td>
</tr>
<tr>
<th>13</th>
<td>"making believe"</td>
</tr>
<tr>
<th>14</th>
<td>"there's poison in your heart"</td>
</tr>
<tr>
<th>15</th>
<td>"the lonely side of town"</td>
</tr>
<tr>
<th>16</th>
<td>"how far is heaven" (with carol sue)</td>
</tr>
<tr>
<th>17</th>
<td>"searching (for someone like you)"</td>
</tr>
<tr>
<th>18</th>
<td>"repenting"</td>
</tr>
<tr>
<th>19</th>
<td>"three ways (to love you)"</td>
</tr>
<tr>
<th>20</th>
<td>"i can't stop loving you"</td>
</tr>
<tr>
<th>21</th>
<td>"jealousy"</td>
</tr>
<tr>
<th>22</th>
<td>"touch and go heart"</td>
</tr>
<tr>
<th>23</th>
<td>"mommy for a day"</td>
</tr>
<tr>
<th>24</th>
<td>"your wild life's gonna get you down"</td>
</tr>
<tr>
<th>25</th>
<td>"amigo's guitar"</td>
</tr>
</tbody>
</table> | select title where peak chart positions us country > 10 <table_name> : table | | year | title | peak chart positions us country | peak chart positions us | album |
|---:|-------:|:-------------------------------------------|:----------------------------------|:--------------------------|:------------------------------|
| 0 | 1950 | "make up your mind" | none | none | non-album singles |
| 1 | 1950 | "how far is heaven" | none | none | non-album singles |
| 2 | 1952 | "glory land march" | none | none | non-album singles |
| 3 | 1952 | "it wasn't god who made honky tonk angels" | 1 | 27 | country hit parade |
| 4 | 1952 | "a wedding ring ago" | none | none | the kitty wells story |
| 5 | 1953 | "the things i might have been" | none | 22 | country hit parade |
| 6 | 1953 | "paying for that back street affair" | 6 | none | country hit parade |
| 7 | 1953 | "honky tonk waltz" | none | none | country heart |
| 8 | 1953 | "i don't claim to be an angel" | none | none | country hit parade |
| 9 | 1953 | "hey joe" | 8 | none | kitty wells' golden favorites |
| 10 | 1953 | "cheatin's a sin" | 9 | none | country hit parade |
| 11 | 1954 | "release me" | 8 | none | country hit parade |
| 12 | 1954 | "you're not so easy to forget" | none | none | after dark |
| 13 | 1954 | "thou shalt not steal" | 14 | none | kitty wells |
| 14 | 1955 | "making believe" | 2 | none | country hit parade |
| 15 | 1955 | "there's poison in your heart" | 9 | none | country hit parade |
| 16 | 1955 | "the lonely side of town" | 7 | none | after dark |
| 17 | 1956 | "how far is heaven" (with carol sue) | 11 | none | singing on sunday |
| 18 | 1956 | "searching (for someone like you)" | 3 | none | kitty wells' golden favorites |
| 19 | 1956 | "repenting" | 6 | none | kitty wells' golden favorites |
| 20 | 1957 | "three ways (to love you)" | 7 | none | kitty wells' golden favorites |
| 21 | 1957 | "(i'll always be your) fraulein" | 10 | none | kitty wells' golden favorites |
| 22 | 1958 | "i can't stop loving you" | 3 | none | kitty wells' golden favorites |
| 23 | 1958 | "jealousy" | 7 | 78 | kitty wells' golden favorites |
| 24 | 1958 | "touch and go heart" | 15 | none | the lonely side of town |
| 25 | 1959 | "mommy for a day" | 5 | none | kitty wells' golden favorites |
| 26 | 1959 | "your wild life's gonna get you down" | 12 | none | after dark |
| 27 | 1959 | "amigo's guitar" | 5 | none | seasons of my heart | | | | title |
|---:|:--------------------------------------|
| 0 | "make up your mind" |
| 1 | "how far is heaven" |
| 2 | "glory land march" |
| 3 | "a wedding ring ago" |
| 4 | "the things i might have been" |
| 5 | "paying for that back street affair" |
| 6 | "honky tonk waltz" |
| 7 | "i don't claim to be an angel" |
| 8 | "hey joe" |
| 9 | "cheatin's a sin" |
| 10 | "release me" |
| 11 | "you're not so easy to forget" |
| 12 | "thou shalt not steal" |
| 13 | "making believe" |
| 14 | "there's poison in your heart" |
| 15 | "the lonely side of town" |
| 16 | "how far is heaven" (with carol sue) |
| 17 | "searching (for someone like you)" |
| 18 | "repenting" |
| 19 | "three ways (to love you)" |
| 20 | "i can't stop loving you" |
| 21 | "jealousy" |
| 22 | "touch and go heart" |
| 23 | "mommy for a day" |
| 24 | "your wild life's gonna get you down" |
| 25 | "amigo's guitar" | | [
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select count ( athlete ) where country > athlete col : rank | athlete | country | time | behind | points row 1 : 1 | sven kramer | netherlands | 01:53.98 | 0.0 | 37.993 row 2 : 2 | sverre lunde pedersen | norway | 1:54.87 | 0.89 | 38.29 row 3 : 3 | jan blokhuijsen | netherlands | 1:54.93 | 0.95 | 38.31 row 4 : 4 | denis yuskov | russia | 1:55.13 | 1.15 | 38.376 row 5 : 5 | koen verweij | netherlands | 1:55.42 | 1.44 | 38.473 row 6 : 6 | haralds silovs | latvia | 1:55.48 | 1.5 | 38.493 row 7 : 7 | zbigniew brodka | poland | 1:55.98 | 2.0 | 38.66 row 8 : 8 | bart swings | belgium | 1:56.08 | 2.1 | 38.693 row 9 : 9 | havard bøkko | norway | 1:56.35 | 2.37 | 38.783 row 10 : 10 | jan szymanski | poland | 1:56.55 | 2.57 | 38.85 row 11 : 11 | bram smallenbroek | austria | 1:57.44 | 3.46 | 39.146 row 12 : 12 | alexis contin | france | 1:57.58 | 3.6 | 39.193 row 13 : 13 | benjamin mace | france | 1:57.80 | 3.82 | 39.266 row 14 : 14 | konrad niedzwiedzki | poland | 1:57.92 | 3.94 | 39.306 row 15 : 15 | sergey gryaztsov | russia | 1:58.73 | 4.75 | 39.576 row 16 : 16 | patrick beckert | germany | 1:59.08 | 5.1 | 39.693 row 17 : 17 | kristian reistad fredriksen | norway | 1:59.19 | 5.21 | 39.73 row 18 : 18 | luca stefani | italy | 1:59.82 | 5.84 | 39.94 row 19 : 19 | marco cignini | italy | 1:59.97 | 5.99 | 39.99 row 20 : 20 | ferre spruyt | belgium | 2:00.00 | 6.02 | 40.0 row 21 : 21 | vitaly mikhailov | belarus | 2:00.75 | 6.77 | 40.52 row 22 : 22 | milan sablik | czech republic | 2:00.95 | 6.97 | 40.316 row 23 : 23 | ted jan bloemen | netherlands | 2:01.58 | 7.6 | 40.526 row 24 : 24 | moritz geisreiter | germany | 2:01.64 | 7.66 | 40.566 | col : count ( "athlete" ) row 1 : 11 | select count ( athlete ) where country > athlete <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & athlete & country & time & behind & points \\
\midrule
0 & 1 & sven kramer & netherlands & 01:53.98 & 0.0 & 37.993 \\
1 & 2 & sverre lunde pedersen & norway & 1:54.87 & 0.89 & 38.29 \\
2 & 3 & jan blokhuijsen & netherlands & 1:54.93 & 0.95 & 38.31 \\
3 & 4 & denis yuskov & russia & 1:55.13 & 1.15 & 38.376 \\
4 & 5 & koen verweij & netherlands & 1:55.42 & 1.44 & 38.473 \\
5 & 6 & haralds silovs & latvia & 1:55.48 & 1.5 & 38.493 \\
6 & 7 & zbigniew brodka & poland & 1:55.98 & 2.0 & 38.66 \\
7 & 8 & bart swings & belgium & 1:56.08 & 2.1 & 38.693 \\
8 & 9 & havard bøkko & norway & 1:56.35 & 2.37 & 38.783 \\
9 & 10 & jan szymanski & poland & 1:56.55 & 2.57 & 38.85 \\
10 & 11 & bram smallenbroek & austria & 1:57.44 & 3.46 & 39.146 \\
11 & 12 & alexis contin & france & 1:57.58 & 3.6 & 39.193 \\
12 & 13 & benjamin mace & france & 1:57.80 & 3.82 & 39.266 \\
13 & 14 & konrad niedzwiedzki & poland & 1:57.92 & 3.94 & 39.306 \\
14 & 15 & sergey gryaztsov & russia & 1:58.73 & 4.75 & 39.576 \\
15 & 16 & patrick beckert & germany & 1:59.08 & 5.1 & 39.693 \\
16 & 17 & kristian reistad fredriksen & norway & 1:59.19 & 5.21 & 39.73 \\
17 & 18 & luca stefani & italy & 1:59.82 & 5.84 & 39.94 \\
18 & 19 & marco cignini & italy & 1:59.97 & 5.99 & 39.99 \\
19 & 20 & ferre spruyt & belgium & 2:00.00 & 6.02 & 40.0 \\
20 & 21 & vitaly mikhailov & belarus & 2:00.75 & 6.77 & 40.52 \\
21 & 22 & milan sablik & czech republic & 2:00.95 & 6.97 & 40.316 \\
22 & 23 & ted jan bloemen & netherlands & 2:01.58 & 7.6 & 40.526 \\
23 & 24 & moritz geisreiter & germany & 2:01.64 & 7.66 & 40.566 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "athlete" ) \\
\midrule
0 & 11 \\
\bottomrule
\end{tabular}
| select count ( athlete ) where country > athlete <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>athlete</th>
<th>country</th>
<th>time</th>
<th>behind</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>sven kramer</td>
<td>netherlands</td>
<td>01:53.98</td>
<td>0.0</td>
<td>37.993</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>sverre lunde pedersen</td>
<td>norway</td>
<td>1:54.87</td>
<td>0.89</td>
<td>38.29</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>jan blokhuijsen</td>
<td>netherlands</td>
<td>1:54.93</td>
<td>0.95</td>
<td>38.31</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>denis yuskov</td>
<td>russia</td>
<td>1:55.13</td>
<td>1.15</td>
<td>38.376</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>koen verweij</td>
<td>netherlands</td>
<td>1:55.42</td>
<td>1.44</td>
<td>38.473</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>haralds silovs</td>
<td>latvia</td>
<td>1:55.48</td>
<td>1.5</td>
<td>38.493</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>zbigniew brodka</td>
<td>poland</td>
<td>1:55.98</td>
<td>2.0</td>
<td>38.66</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>bart swings</td>
<td>belgium</td>
<td>1:56.08</td>
<td>2.1</td>
<td>38.693</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>havard bøkko</td>
<td>norway</td>
<td>1:56.35</td>
<td>2.37</td>
<td>38.783</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>jan szymanski</td>
<td>poland</td>
<td>1:56.55</td>
<td>2.57</td>
<td>38.85</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>bram smallenbroek</td>
<td>austria</td>
<td>1:57.44</td>
<td>3.46</td>
<td>39.146</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>alexis contin</td>
<td>france</td>
<td>1:57.58</td>
<td>3.6</td>
<td>39.193</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>benjamin mace</td>
<td>france</td>
<td>1:57.80</td>
<td>3.82</td>
<td>39.266</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>konrad niedzwiedzki</td>
<td>poland</td>
<td>1:57.92</td>
<td>3.94</td>
<td>39.306</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>sergey gryaztsov</td>
<td>russia</td>
<td>1:58.73</td>
<td>4.75</td>
<td>39.576</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>patrick beckert</td>
<td>germany</td>
<td>1:59.08</td>
<td>5.1</td>
<td>39.693</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>kristian reistad fredriksen</td>
<td>norway</td>
<td>1:59.19</td>
<td>5.21</td>
<td>39.73</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>luca stefani</td>
<td>italy</td>
<td>1:59.82</td>
<td>5.84</td>
<td>39.94</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>marco cignini</td>
<td>italy</td>
<td>1:59.97</td>
<td>5.99</td>
<td>39.99</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>ferre spruyt</td>
<td>belgium</td>
<td>2:00.00</td>
<td>6.02</td>
<td>40.0</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>vitaly mikhailov</td>
<td>belarus</td>
<td>2:00.75</td>
<td>6.77</td>
<td>40.52</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>milan sablik</td>
<td>czech republic</td>
<td>2:00.95</td>
<td>6.97</td>
<td>40.316</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>ted jan bloemen</td>
<td>netherlands</td>
<td>2:01.58</td>
<td>7.6</td>
<td>40.526</td>
</tr>
<tr>
<th>23</th>
<td>24</td>
<td>moritz geisreiter</td>
<td>germany</td>
<td>2:01.64</td>
<td>7.66</td>
<td>40.566</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "athlete" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>11</td>
</tr>
</tbody>
</table> | select count ( athlete ) where country > athlete <table_name> : table | | rank | athlete | country | time | behind | points |
|---:|-------:|:----------------------------|:---------------|:---------|---------:|---------:|
| 0 | 1 | sven kramer | netherlands | 01:53.98 | 0 | 37.993 |
| 1 | 2 | sverre lunde pedersen | norway | 1:54.87 | 0.89 | 38.29 |
| 2 | 3 | jan blokhuijsen | netherlands | 1:54.93 | 0.95 | 38.31 |
| 3 | 4 | denis yuskov | russia | 1:55.13 | 1.15 | 38.376 |
| 4 | 5 | koen verweij | netherlands | 1:55.42 | 1.44 | 38.473 |
| 5 | 6 | haralds silovs | latvia | 1:55.48 | 1.5 | 38.493 |
| 6 | 7 | zbigniew brodka | poland | 1:55.98 | 2 | 38.66 |
| 7 | 8 | bart swings | belgium | 1:56.08 | 2.1 | 38.693 |
| 8 | 9 | havard bøkko | norway | 1:56.35 | 2.37 | 38.783 |
| 9 | 10 | jan szymanski | poland | 1:56.55 | 2.57 | 38.85 |
| 10 | 11 | bram smallenbroek | austria | 1:57.44 | 3.46 | 39.146 |
| 11 | 12 | alexis contin | france | 1:57.58 | 3.6 | 39.193 |
| 12 | 13 | benjamin mace | france | 1:57.80 | 3.82 | 39.266 |
| 13 | 14 | konrad niedzwiedzki | poland | 1:57.92 | 3.94 | 39.306 |
| 14 | 15 | sergey gryaztsov | russia | 1:58.73 | 4.75 | 39.576 |
| 15 | 16 | patrick beckert | germany | 1:59.08 | 5.1 | 39.693 |
| 16 | 17 | kristian reistad fredriksen | norway | 1:59.19 | 5.21 | 39.73 |
| 17 | 18 | luca stefani | italy | 1:59.82 | 5.84 | 39.94 |
| 18 | 19 | marco cignini | italy | 1:59.97 | 5.99 | 39.99 |
| 19 | 20 | ferre spruyt | belgium | 2:00.00 | 6.02 | 40 |
| 20 | 21 | vitaly mikhailov | belarus | 2:00.75 | 6.77 | 40.52 |
| 21 | 22 | milan sablik | czech republic | 2:00.95 | 6.97 | 40.316 |
| 22 | 23 | ted jan bloemen | netherlands | 2:01.58 | 7.6 | 40.526 |
| 23 | 24 | moritz geisreiter | germany | 2:01.64 | 7.66 | 40.566 | | | | count ( "athlete" ) |
|---:|----------------------:|
| 0 | 11 | | [
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select name where from = 'port vale' col : date | position | name | from | fee row 1 : 2001-07-05 00:00:00 | mf | andy hughes | notts county | £250,000 by a tribunal row 2 : 2001-07-05 00:00:00 | df | adrian whitbread | portsmouth | free row 3 : 2001-07-18 00:00:00 | df | alex smith | port vale | free row 4 : 2001-11-30 00:00:00 | gk | antony malessa | oxford united | free row 5 : 2002-01-28 00:00:00 | mf | john salako | charlton athletic | £50,000 row 6 : 2002-03-13 00:00:00 | gk | frank talia | sheffield united | free row 7 : 2002-03-15 00:00:00 | mf | kevin watson | charlton athletic | £150,000 | col : name row 1 : alex smith | select name where from = 'port vale' <table_name> : table \begin{tabular}{llllll}
\toprule
& date & position & name & from & fee \\
\midrule
0 & 2001-07-05 00:00:00 & mf & andy hughes & notts county & £250,000 by a tribunal \\
1 & 2001-07-05 00:00:00 & df & adrian whitbread & portsmouth & free \\
2 & 2001-07-18 00:00:00 & df & alex smith & port vale & free \\
3 & 2001-11-30 00:00:00 & gk & antony malessa & oxford united & free \\
4 & 2002-01-28 00:00:00 & mf & john salako & charlton athletic & £50,000 \\
5 & 2002-03-13 00:00:00 & gk & frank talia & sheffield united & free \\
6 & 2002-03-15 00:00:00 & mf & kevin watson & charlton athletic & £150,000 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& name \\
\midrule
0 & alex smith \\
\bottomrule
\end{tabular}
| select name where from = 'port vale' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>position</th>
<th>name</th>
<th>from</th>
<th>fee</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2001-07-05 00:00:00</td>
<td>mf</td>
<td>andy hughes</td>
<td>notts county</td>
<td>£250,000 by a tribunal</td>
</tr>
<tr>
<th>1</th>
<td>2001-07-05 00:00:00</td>
<td>df</td>
<td>adrian whitbread</td>
<td>portsmouth</td>
<td>free</td>
</tr>
<tr>
<th>2</th>
<td>2001-07-18 00:00:00</td>
<td>df</td>
<td>alex smith</td>
<td>port vale</td>
<td>free</td>
</tr>
<tr>
<th>3</th>
<td>2001-11-30 00:00:00</td>
<td>gk</td>
<td>antony malessa</td>
<td>oxford united</td>
<td>free</td>
</tr>
<tr>
<th>4</th>
<td>2002-01-28 00:00:00</td>
<td>mf</td>
<td>john salako</td>
<td>charlton athletic</td>
<td>£50,000</td>
</tr>
<tr>
<th>5</th>
<td>2002-03-13 00:00:00</td>
<td>gk</td>
<td>frank talia</td>
<td>sheffield united</td>
<td>free</td>
</tr>
<tr>
<th>6</th>
<td>2002-03-15 00:00:00</td>
<td>mf</td>
<td>kevin watson</td>
<td>charlton athletic</td>
<td>£150,000</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>name</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>alex smith</td>
</tr>
</tbody>
</table> | select name where from = 'port vale' <table_name> : table | | date | position | name | from | fee |
|---:|:--------------------|:-----------|:-----------------|:------------------|:-----------------------|
| 0 | 2001-07-05 00:00:00 | mf | andy hughes | notts county | £250,000 by a tribunal |
| 1 | 2001-07-05 00:00:00 | df | adrian whitbread | portsmouth | free |
| 2 | 2001-07-18 00:00:00 | df | alex smith | port vale | free |
| 3 | 2001-11-30 00:00:00 | gk | antony malessa | oxford united | free |
| 4 | 2002-01-28 00:00:00 | mf | john salako | charlton athletic | £50,000 |
| 5 | 2002-03-13 00:00:00 | gk | frank talia | sheffield united | free |
| 6 | 2002-03-15 00:00:00 | mf | kevin watson | charlton athletic | £150,000 | | | | name |
|---:|:-----------|
| 0 | alex smith | | [
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select time/retired where name = 'neel jani' col : pos | name | team | laps | time/retired | grid | points row 1 : 1 | justin wilson | rusport | 69 | 1:46:02.236 | 2 | 32 row 2 : 2 | jan heylen | conquest racing | 69 | 7.227 | 7 | 27 row 3 : 3 | bruno junqueira | dale coyne racing | 69 | 8.419 | 11 | 26 row 4 : 4 | tristan gommendy | pkv racing | 69 | 9.037 | 3 | 23 row 5 : 5 | neel jani | pkv racing | 69 | 22.262 | 4 | 21 row 6 : 6 | simon pagenaud | team australia | 69 | 22.698 | 5 | 19 row 7 : 7 | sebastien bourdais | n/h/l racing | 69 | 22.955 | 1 | 18 row 8 : 8 | oriol servia | forsythe racing | 69 | 23.406 | 13 | 15 row 9 : 9 | graham rahal | n/h/l racing | 69 | 23.949 | 6 | 13 row 10 : 10 | ryan dalziel | pacific coast motorsports | 69 | 29.554 | 15 | 11 row 11 : 11 | dan clarke | minardi team usa | 69 | 38.903 | 10 | 11 row 12 : 12 | katherine legge | dale coyne racing | 69 | 44.86 | 14 | 9 row 13 : 13 | robert doornbos | minardi team usa | 69 | +1:00.638 | 9 | 8 row 14 : 14 | will power | team australia | 69 | +1:01.204 | 8 | 7 row 15 : 15 | alex tagliani | rocketsports | 68 | + 1 lap | 12 | 6 row 16 : 16 | alex figge | pacific coast motorsports | 68 | + 1 lap | 16 | 5 row 17 : 17 | paul tracy | forsythe racing | 14 | mechanical | 17 | 4 | col : time/retired row 1 : 22.262 | select time/retired where name = 'neel jani' <table_name> : table \begin{tabular}{llllllll}
\toprule
& pos & name & team & laps & time/retired & grid & points \\
\midrule
0 & 1 & justin wilson & rusport & 69 & 1:46:02.236 & 2 & 32 \\
1 & 2 & jan heylen & conquest racing & 69 & 7.227 & 7 & 27 \\
2 & 3 & bruno junqueira & dale coyne racing & 69 & 8.419 & 11 & 26 \\
3 & 4 & tristan gommendy & pkv racing & 69 & 9.037 & 3 & 23 \\
4 & 5 & neel jani & pkv racing & 69 & 22.262 & 4 & 21 \\
5 & 6 & simon pagenaud & team australia & 69 & 22.698 & 5 & 19 \\
6 & 7 & sebastien bourdais & n/h/l racing & 69 & 22.955 & 1 & 18 \\
7 & 8 & oriol servia & forsythe racing & 69 & 23.406 & 13 & 15 \\
8 & 9 & graham rahal & n/h/l racing & 69 & 23.949 & 6 & 13 \\
9 & 10 & ryan dalziel & pacific coast motorsports & 69 & 29.554 & 15 & 11 \\
10 & 11 & dan clarke & minardi team usa & 69 & 38.903 & 10 & 11 \\
11 & 12 & katherine legge & dale coyne racing & 69 & 44.86 & 14 & 9 \\
12 & 13 & robert doornbos & minardi team usa & 69 & +1:00.638 & 9 & 8 \\
13 & 14 & will power & team australia & 69 & +1:01.204 & 8 & 7 \\
14 & 15 & alex tagliani & rocketsports & 68 & + 1 lap & 12 & 6 \\
15 & 16 & alex figge & pacific coast motorsports & 68 & + 1 lap & 16 & 5 \\
16 & 17 & paul tracy & forsythe racing & 14 & mechanical & 17 & 4 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& time/retired \\
\midrule
0 & 22.262 \\
\bottomrule
\end{tabular}
| select time/retired where name = 'neel jani' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos</th>
<th>name</th>
<th>team</th>
<th>laps</th>
<th>time/retired</th>
<th>grid</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>justin wilson</td>
<td>rusport</td>
<td>69</td>
<td>1:46:02.236</td>
<td>2</td>
<td>32</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>jan heylen</td>
<td>conquest racing</td>
<td>69</td>
<td>7.227</td>
<td>7</td>
<td>27</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>bruno junqueira</td>
<td>dale coyne racing</td>
<td>69</td>
<td>8.419</td>
<td>11</td>
<td>26</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>tristan gommendy</td>
<td>pkv racing</td>
<td>69</td>
<td>9.037</td>
<td>3</td>
<td>23</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>neel jani</td>
<td>pkv racing</td>
<td>69</td>
<td>22.262</td>
<td>4</td>
<td>21</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>simon pagenaud</td>
<td>team australia</td>
<td>69</td>
<td>22.698</td>
<td>5</td>
<td>19</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>sebastien bourdais</td>
<td>n/h/l racing</td>
<td>69</td>
<td>22.955</td>
<td>1</td>
<td>18</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>oriol servia</td>
<td>forsythe racing</td>
<td>69</td>
<td>23.406</td>
<td>13</td>
<td>15</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>graham rahal</td>
<td>n/h/l racing</td>
<td>69</td>
<td>23.949</td>
<td>6</td>
<td>13</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>ryan dalziel</td>
<td>pacific coast motorsports</td>
<td>69</td>
<td>29.554</td>
<td>15</td>
<td>11</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>dan clarke</td>
<td>minardi team usa</td>
<td>69</td>
<td>38.903</td>
<td>10</td>
<td>11</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>katherine legge</td>
<td>dale coyne racing</td>
<td>69</td>
<td>44.86</td>
<td>14</td>
<td>9</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>robert doornbos</td>
<td>minardi team usa</td>
<td>69</td>
<td>+1:00.638</td>
<td>9</td>
<td>8</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>will power</td>
<td>team australia</td>
<td>69</td>
<td>+1:01.204</td>
<td>8</td>
<td>7</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>alex tagliani</td>
<td>rocketsports</td>
<td>68</td>
<td>+ 1 lap</td>
<td>12</td>
<td>6</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>alex figge</td>
<td>pacific coast motorsports</td>
<td>68</td>
<td>+ 1 lap</td>
<td>16</td>
<td>5</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>paul tracy</td>
<td>forsythe racing</td>
<td>14</td>
<td>mechanical</td>
<td>17</td>
<td>4</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>time/retired</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>22.262</td>
</tr>
</tbody>
</table> | select time/retired where name = 'neel jani' <table_name> : table | | pos | name | team | laps | time/retired | grid | points |
|---:|------:|:-------------------|:--------------------------|-------:|:---------------|-------:|---------:|
| 0 | 1 | justin wilson | rusport | 69 | 1:46:02.236 | 2 | 32 |
| 1 | 2 | jan heylen | conquest racing | 69 | 7.227 | 7 | 27 |
| 2 | 3 | bruno junqueira | dale coyne racing | 69 | 8.419 | 11 | 26 |
| 3 | 4 | tristan gommendy | pkv racing | 69 | 9.037 | 3 | 23 |
| 4 | 5 | neel jani | pkv racing | 69 | 22.262 | 4 | 21 |
| 5 | 6 | simon pagenaud | team australia | 69 | 22.698 | 5 | 19 |
| 6 | 7 | sebastien bourdais | n/h/l racing | 69 | 22.955 | 1 | 18 |
| 7 | 8 | oriol servia | forsythe racing | 69 | 23.406 | 13 | 15 |
| 8 | 9 | graham rahal | n/h/l racing | 69 | 23.949 | 6 | 13 |
| 9 | 10 | ryan dalziel | pacific coast motorsports | 69 | 29.554 | 15 | 11 |
| 10 | 11 | dan clarke | minardi team usa | 69 | 38.903 | 10 | 11 |
| 11 | 12 | katherine legge | dale coyne racing | 69 | 44.86 | 14 | 9 |
| 12 | 13 | robert doornbos | minardi team usa | 69 | +1:00.638 | 9 | 8 |
| 13 | 14 | will power | team australia | 69 | +1:01.204 | 8 | 7 |
| 14 | 15 | alex tagliani | rocketsports | 68 | + 1 lap | 12 | 6 |
| 15 | 16 | alex figge | pacific coast motorsports | 68 | + 1 lap | 16 | 5 |
| 16 | 17 | paul tracy | forsythe racing | 14 | mechanical | 17 | 4 | | | | time/retired |
|---:|---------------:|
| 0 | 22.262 | | [
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select date where tournament = 'hertz bay hill classic' col : no. | date | tournament | winning score | margin of victory | runner(s)-up row 1 : 1 | 1982-07-18 00:00:00 | miller high life qco | -12 (68-66-65-69=268) | 2 strokes | brad bryant, pat mcgowan row 2 : 2 | 1983-10-23 00:00:00 | walt disney world golf classic | -19 (69-64-69-67=269) | 2 strokes | nick faldo, mark mccumber row 3 : 3 | 1987-03-15 00:00:00 | hertz bay hill classic | -20 (69-67-63-65=264) | 3 strokes | david frost row 4 : 4 | 1989-04-16 00:00:00 | mci heritage golf classic | -16 (65-67-67-69=268) | 5 strokes | kenny perry row 5 : 5 | 1989-08-13 00:00:00 | pga championship | -12 (74-66-69-67=276) | 1 stroke | andy bean, mike reid, curtis strange row 6 : 6 | 1990-04-15 00:00:00 | mci heritage golf classic | -8 (70-69-66-71=276) | playoff | steve jones, larry mize row 7 : 7 | 1990-05-06 00:00:00 | gte byron nelson golf classic | -8 (67-68-67=202) | 2 strokes | lanny wadkins row 8 : 8 | 1991-06-17 00:00:00 | u.s. open | -6 (67-70-73-72=282) | playoff | scott simpson row 9 : 9 | 1995-04-30 00:00:00 | shell houston open | -12 (73-65-70-68=276) | playoff | scott hoch row 10 : 10 | 1999-02-07 00:00:00 | at&t pebble beach national pro-am | -10 (69-64-73=206) | 1 stroke | frank lickliter ii row 11 : 11 | 1999-06-20 00:00:00 | u.s. open | -1 (68-69-72-70=279) | 1 stroke | phil mickelson | col : date row 1 : 1987-03-15 00:00:00 | select date where tournament = 'hertz bay hill classic' <table_name> : table \begin{tabular}{lllllll}
\toprule
& no. & date & tournament & winning score & margin of victory & runner(s)-up \\
\midrule
0 & 1 & 1982-07-18 00:00:00 & miller high life qco & -12 (68-66-65-69=268) & 2 strokes & brad bryant, pat mcgowan \\
1 & 2 & 1983-10-23 00:00:00 & walt disney world golf classic & -19 (69-64-69-67=269) & 2 strokes & nick faldo, mark mccumber \\
2 & 3 & 1987-03-15 00:00:00 & hertz bay hill classic & -20 (69-67-63-65=264) & 3 strokes & david frost \\
3 & 4 & 1989-04-16 00:00:00 & mci heritage golf classic & -16 (65-67-67-69=268) & 5 strokes & kenny perry \\
4 & 5 & 1989-08-13 00:00:00 & pga championship & -12 (74-66-69-67=276) & 1 stroke & andy bean, mike reid, curtis strange \\
5 & 6 & 1990-04-15 00:00:00 & mci heritage golf classic & -8 (70-69-66-71=276) & playoff & steve jones, larry mize \\
6 & 7 & 1990-05-06 00:00:00 & gte byron nelson golf classic & -8 (67-68-67=202) & 2 strokes & lanny wadkins \\
7 & 8 & 1991-06-17 00:00:00 & u.s. open & -6 (67-70-73-72=282) & playoff & scott simpson \\
8 & 9 & 1995-04-30 00:00:00 & shell houston open & -12 (73-65-70-68=276) & playoff & scott hoch \\
9 & 10 & 1999-02-07 00:00:00 & at&t pebble beach national pro-am & -10 (69-64-73=206) & 1 stroke & frank lickliter ii \\
10 & 11 & 1999-06-20 00:00:00 & u.s. open & -1 (68-69-72-70=279) & 1 stroke & phil mickelson \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& date \\
\midrule
0 & 1987-03-15 00:00:00 \\
\bottomrule
\end{tabular}
| select date where tournament = 'hertz bay hill classic' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>no.</th>
<th>date</th>
<th>tournament</th>
<th>winning score</th>
<th>margin of victory</th>
<th>runner(s)-up</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>1982-07-18 00:00:00</td>
<td>miller high life qco</td>
<td>-12 (68-66-65-69=268)</td>
<td>2 strokes</td>
<td>brad bryant, pat mcgowan</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>1983-10-23 00:00:00</td>
<td>walt disney world golf classic</td>
<td>-19 (69-64-69-67=269)</td>
<td>2 strokes</td>
<td>nick faldo, mark mccumber</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>1987-03-15 00:00:00</td>
<td>hertz bay hill classic</td>
<td>-20 (69-67-63-65=264)</td>
<td>3 strokes</td>
<td>david frost</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>1989-04-16 00:00:00</td>
<td>mci heritage golf classic</td>
<td>-16 (65-67-67-69=268)</td>
<td>5 strokes</td>
<td>kenny perry</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>1989-08-13 00:00:00</td>
<td>pga championship</td>
<td>-12 (74-66-69-67=276)</td>
<td>1 stroke</td>
<td>andy bean, mike reid, curtis strange</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>1990-04-15 00:00:00</td>
<td>mci heritage golf classic</td>
<td>-8 (70-69-66-71=276)</td>
<td>playoff</td>
<td>steve jones, larry mize</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>1990-05-06 00:00:00</td>
<td>gte byron nelson golf classic</td>
<td>-8 (67-68-67=202)</td>
<td>2 strokes</td>
<td>lanny wadkins</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>1991-06-17 00:00:00</td>
<td>u.s. open</td>
<td>-6 (67-70-73-72=282)</td>
<td>playoff</td>
<td>scott simpson</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>1995-04-30 00:00:00</td>
<td>shell houston open</td>
<td>-12 (73-65-70-68=276)</td>
<td>playoff</td>
<td>scott hoch</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>1999-02-07 00:00:00</td>
<td>at&t pebble beach national pro-am</td>
<td>-10 (69-64-73=206)</td>
<td>1 stroke</td>
<td>frank lickliter ii</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>1999-06-20 00:00:00</td>
<td>u.s. open</td>
<td>-1 (68-69-72-70=279)</td>
<td>1 stroke</td>
<td>phil mickelson</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1987-03-15 00:00:00</td>
</tr>
</tbody>
</table> | select date where tournament = 'hertz bay hill classic' <table_name> : table | | no. | date | tournament | winning score | margin of victory | runner(s)-up |
|---:|------:|:--------------------|:----------------------------------|:----------------------|:--------------------|:-------------------------------------|
| 0 | 1 | 1982-07-18 00:00:00 | miller high life qco | -12 (68-66-65-69=268) | 2 strokes | brad bryant, pat mcgowan |
| 1 | 2 | 1983-10-23 00:00:00 | walt disney world golf classic | -19 (69-64-69-67=269) | 2 strokes | nick faldo, mark mccumber |
| 2 | 3 | 1987-03-15 00:00:00 | hertz bay hill classic | -20 (69-67-63-65=264) | 3 strokes | david frost |
| 3 | 4 | 1989-04-16 00:00:00 | mci heritage golf classic | -16 (65-67-67-69=268) | 5 strokes | kenny perry |
| 4 | 5 | 1989-08-13 00:00:00 | pga championship | -12 (74-66-69-67=276) | 1 stroke | andy bean, mike reid, curtis strange |
| 5 | 6 | 1990-04-15 00:00:00 | mci heritage golf classic | -8 (70-69-66-71=276) | playoff | steve jones, larry mize |
| 6 | 7 | 1990-05-06 00:00:00 | gte byron nelson golf classic | -8 (67-68-67=202) | 2 strokes | lanny wadkins |
| 7 | 8 | 1991-06-17 00:00:00 | u.s. open | -6 (67-70-73-72=282) | playoff | scott simpson |
| 8 | 9 | 1995-04-30 00:00:00 | shell houston open | -12 (73-65-70-68=276) | playoff | scott hoch |
| 9 | 10 | 1999-02-07 00:00:00 | at&t pebble beach national pro-am | -10 (69-64-73=206) | 1 stroke | frank lickliter ii |
| 10 | 11 | 1999-06-20 00:00:00 | u.s. open | -1 (68-69-72-70=279) | 1 stroke | phil mickelson | | | | date |
|---:|:--------------------|
| 0 | 1987-03-15 00:00:00 | | [
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select count ( notes ) where notes = 'q' col : rank | heat | athlete | nationality | time | notes row 1 : 1 | 1 | natalya ivanova | russia | 23.11 | q row 2 : 2 | 1 | elodie ouedraogo | belgium | 23.23 | q row 3 : 3 | 2 | yelena yakovleva | russia | 23.37 | q row 4 : 4 | 1 | monika bejnar | poland | 23.39 | q, sb row 5 : 5 | 1 | nataliya pyhyda | ukraine | 23.4 | q, sb row 6 : 6 | 2 | laverne jones-ferrette | united states virgin islands | 23.49 | q row 7 : 7 | 1 | alena neumiarzhitskaya | belarus | 23.52 | none row 8 : 8 | 1 | adrienne power | canada | 23.62 | none row 9 : 9 | 2 | grazyna prokopek | poland | 23.69 | q row 10 : 10 | 2 | nikolett listar | hungary | 23.87 | q row 11 : 11 | 2 | emily maher | ireland | 23.89 | none row 12 : 12 | 1 | ruth grajeda | mexico | 23.96 | none row 13 : 13 | 2 | edita kavaliauskiene | lithuania | 24.09 | none row 14 : 14 | 2 | raquel da costa | brazil | 24.18 | none row 15 : 15 | 2 | kim wall | great britain | 24.31 | none row 16 : 16 | 1 | doris tomasini | italy | 24.4 | none | col : count ( "notes" ) row 1 : 6 | select count ( notes ) where notes = 'q' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & heat & athlete & nationality & time & notes \\
\midrule
0 & 1 & 1 & natalya ivanova & russia & 23.11 & q \\
1 & 2 & 1 & elodie ouedraogo & belgium & 23.23 & q \\
2 & 3 & 2 & yelena yakovleva & russia & 23.37 & q \\
3 & 4 & 1 & monika bejnar & poland & 23.39 & q, sb \\
4 & 5 & 1 & nataliya pyhyda & ukraine & 23.4 & q, sb \\
5 & 6 & 2 & laverne jones-ferrette & united states virgin islands & 23.49 & q \\
6 & 7 & 1 & alena neumiarzhitskaya & belarus & 23.52 & none \\
7 & 8 & 1 & adrienne power & canada & 23.62 & none \\
8 & 9 & 2 & grazyna prokopek & poland & 23.69 & q \\
9 & 10 & 2 & nikolett listar & hungary & 23.87 & q \\
10 & 11 & 2 & emily maher & ireland & 23.89 & none \\
11 & 12 & 1 & ruth grajeda & mexico & 23.96 & none \\
12 & 13 & 2 & edita kavaliauskiene & lithuania & 24.09 & none \\
13 & 14 & 2 & raquel da costa & brazil & 24.18 & none \\
14 & 15 & 2 & kim wall & great britain & 24.31 & none \\
15 & 16 & 1 & doris tomasini & italy & 24.4 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "notes" ) \\
\midrule
0 & 6 \\
\bottomrule
\end{tabular}
| select count ( notes ) where notes = 'q' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>heat</th>
<th>athlete</th>
<th>nationality</th>
<th>time</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>1</td>
<td>natalya ivanova</td>
<td>russia</td>
<td>23.11</td>
<td>q</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>1</td>
<td>elodie ouedraogo</td>
<td>belgium</td>
<td>23.23</td>
<td>q</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2</td>
<td>yelena yakovleva</td>
<td>russia</td>
<td>23.37</td>
<td>q</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>1</td>
<td>monika bejnar</td>
<td>poland</td>
<td>23.39</td>
<td>q, sb</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>1</td>
<td>nataliya pyhyda</td>
<td>ukraine</td>
<td>23.4</td>
<td>q, sb</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2</td>
<td>laverne jones-ferrette</td>
<td>united states virgin islands</td>
<td>23.49</td>
<td>q</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>1</td>
<td>alena neumiarzhitskaya</td>
<td>belarus</td>
<td>23.52</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>1</td>
<td>adrienne power</td>
<td>canada</td>
<td>23.62</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>2</td>
<td>grazyna prokopek</td>
<td>poland</td>
<td>23.69</td>
<td>q</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>2</td>
<td>nikolett listar</td>
<td>hungary</td>
<td>23.87</td>
<td>q</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>2</td>
<td>emily maher</td>
<td>ireland</td>
<td>23.89</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>1</td>
<td>ruth grajeda</td>
<td>mexico</td>
<td>23.96</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>2</td>
<td>edita kavaliauskiene</td>
<td>lithuania</td>
<td>24.09</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>2</td>
<td>raquel da costa</td>
<td>brazil</td>
<td>24.18</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>2</td>
<td>kim wall</td>
<td>great britain</td>
<td>24.31</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>1</td>
<td>doris tomasini</td>
<td>italy</td>
<td>24.4</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "notes" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>6</td>
</tr>
</tbody>
</table> | select count ( notes ) where notes = 'q' <table_name> : table | | rank | heat | athlete | nationality | time | notes |
|---:|-------:|-------:|:-----------------------|:-----------------------------|-------:|:--------|
| 0 | 1 | 1 | natalya ivanova | russia | 23.11 | q |
| 1 | 2 | 1 | elodie ouedraogo | belgium | 23.23 | q |
| 2 | 3 | 2 | yelena yakovleva | russia | 23.37 | q |
| 3 | 4 | 1 | monika bejnar | poland | 23.39 | q, sb |
| 4 | 5 | 1 | nataliya pyhyda | ukraine | 23.4 | q, sb |
| 5 | 6 | 2 | laverne jones-ferrette | united states virgin islands | 23.49 | q |
| 6 | 7 | 1 | alena neumiarzhitskaya | belarus | 23.52 | none |
| 7 | 8 | 1 | adrienne power | canada | 23.62 | none |
| 8 | 9 | 2 | grazyna prokopek | poland | 23.69 | q |
| 9 | 10 | 2 | nikolett listar | hungary | 23.87 | q |
| 10 | 11 | 2 | emily maher | ireland | 23.89 | none |
| 11 | 12 | 1 | ruth grajeda | mexico | 23.96 | none |
| 12 | 13 | 2 | edita kavaliauskiene | lithuania | 24.09 | none |
| 13 | 14 | 2 | raquel da costa | brazil | 24.18 | none |
| 14 | 15 | 2 | kim wall | great britain | 24.31 | none |
| 15 | 16 | 1 | doris tomasini | italy | 24.4 | none | | | | count ( "notes" ) |
|---:|--------------------:|
| 0 | 6 | | [
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select title where title = '"pay your buffalo bill"' and title != 1877 col : no | title | directed by | released row 1 : 1 | "kloot's kounty" | hawley pratt | 1973 row 2 : 2 | "apache on the county seat" | hawley pratt | 1973 row 3 : 3 | "the shoe must go on" | gerry chiniquy | 1973 row 4 : 4 | "a self winding sidewinder" | roy morita | 1973 row 5 : 5 | "pay your buffalo bill" | gerry chiniquy | 1973 row 6 : 6 | "stirrups and hiccups" | gerry chiniquy | 1973 row 7 : 7 | "ten miles to the gallop" | arthur leonardi | 1973 row 8 : 8 | "phony express" | gerry chiniquy | 1974 row 9 : 9 | "giddy up woe" | sid marcus | 1974 row 10 : 10 | "gold struck" | roy morita | 1974 row 11 : 11 | "as the tumbleweeds turn" | gerry chiniquy | 1974 row 12 : 12 | "the badge and the beautiful" | bob balsar | 1974 row 13 : 13 | "big beef at o.k. corral" | bob balsar | 1974 row 14 : 14 | "by hoot or by crook" | bob balsar | 1974 row 15 : 15 | "strange on the range" | durward bonaye | 1974 row 16 : 16 | "mesa trouble" | sid marcus | 1974 row 17 : 17 | "saddle soap opera" | gerry chiniquy | 1974 | col : title row 1 : "pay your buffalo bill" | select title where title = '"pay your buffalo bill"' and title != 1877 <table_name> : table \begin{tabular}{lllll}
\toprule
& no & title & directed by & released \\
\midrule
0 & 1 & "kloot's kounty" & hawley pratt & 1973 \\
1 & 2 & "apache on the county seat" & hawley pratt & 1973 \\
2 & 3 & "the shoe must go on" & gerry chiniquy & 1973 \\
3 & 4 & "a self winding sidewinder" & roy morita & 1973 \\
4 & 5 & "pay your buffalo bill" & gerry chiniquy & 1973 \\
5 & 6 & "stirrups and hiccups" & gerry chiniquy & 1973 \\
6 & 7 & "ten miles to the gallop" & arthur leonardi & 1973 \\
7 & 8 & "phony express" & gerry chiniquy & 1974 \\
8 & 9 & "giddy up woe" & sid marcus & 1974 \\
9 & 10 & "gold struck" & roy morita & 1974 \\
10 & 11 & "as the tumbleweeds turn" & gerry chiniquy & 1974 \\
11 & 12 & "the badge and the beautiful" & bob balsar & 1974 \\
12 & 13 & "big beef at o.k. corral" & bob balsar & 1974 \\
13 & 14 & "by hoot or by crook" & bob balsar & 1974 \\
14 & 15 & "strange on the range" & durward bonaye & 1974 \\
15 & 16 & "mesa trouble" & sid marcus & 1974 \\
16 & 17 & "saddle soap opera" & gerry chiniquy & 1974 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& title \\
\midrule
0 & "pay your buffalo bill" \\
\bottomrule
\end{tabular}
| select title where title = '"pay your buffalo bill"' and title != 1877 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>no</th>
<th>title</th>
<th>directed by</th>
<th>released</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>"kloot's kounty"</td>
<td>hawley pratt</td>
<td>1973</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>"apache on the county seat"</td>
<td>hawley pratt</td>
<td>1973</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>"the shoe must go on"</td>
<td>gerry chiniquy</td>
<td>1973</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>"a self winding sidewinder"</td>
<td>roy morita</td>
<td>1973</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>"pay your buffalo bill"</td>
<td>gerry chiniquy</td>
<td>1973</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>"stirrups and hiccups"</td>
<td>gerry chiniquy</td>
<td>1973</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>"ten miles to the gallop"</td>
<td>arthur leonardi</td>
<td>1973</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>"phony express"</td>
<td>gerry chiniquy</td>
<td>1974</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>"giddy up woe"</td>
<td>sid marcus</td>
<td>1974</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>"gold struck"</td>
<td>roy morita</td>
<td>1974</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>"as the tumbleweeds turn"</td>
<td>gerry chiniquy</td>
<td>1974</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>"the badge and the beautiful"</td>
<td>bob balsar</td>
<td>1974</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>"big beef at o.k. corral"</td>
<td>bob balsar</td>
<td>1974</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>"by hoot or by crook"</td>
<td>bob balsar</td>
<td>1974</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>"strange on the range"</td>
<td>durward bonaye</td>
<td>1974</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>"mesa trouble"</td>
<td>sid marcus</td>
<td>1974</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>"saddle soap opera"</td>
<td>gerry chiniquy</td>
<td>1974</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>title</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>"pay your buffalo bill"</td>
</tr>
</tbody>
</table> | select title where title = '"pay your buffalo bill"' and title != 1877 <table_name> : table | | no | title | directed by | released |
|---:|-----:|:------------------------------|:----------------|-----------:|
| 0 | 1 | "kloot's kounty" | hawley pratt | 1973 |
| 1 | 2 | "apache on the county seat" | hawley pratt | 1973 |
| 2 | 3 | "the shoe must go on" | gerry chiniquy | 1973 |
| 3 | 4 | "a self winding sidewinder" | roy morita | 1973 |
| 4 | 5 | "pay your buffalo bill" | gerry chiniquy | 1973 |
| 5 | 6 | "stirrups and hiccups" | gerry chiniquy | 1973 |
| 6 | 7 | "ten miles to the gallop" | arthur leonardi | 1973 |
| 7 | 8 | "phony express" | gerry chiniquy | 1974 |
| 8 | 9 | "giddy up woe" | sid marcus | 1974 |
| 9 | 10 | "gold struck" | roy morita | 1974 |
| 10 | 11 | "as the tumbleweeds turn" | gerry chiniquy | 1974 |
| 11 | 12 | "the badge and the beautiful" | bob balsar | 1974 |
| 12 | 13 | "big beef at o.k. corral" | bob balsar | 1974 |
| 13 | 14 | "by hoot or by crook" | bob balsar | 1974 |
| 14 | 15 | "strange on the range" | durward bonaye | 1974 |
| 15 | 16 | "mesa trouble" | sid marcus | 1974 |
| 16 | 17 | "saddle soap opera" | gerry chiniquy | 1974 | | | | title |
|---:|:------------------------|
| 0 | "pay your buffalo bill" | | [
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select count ( * ) where date = 'august 16, 1967' col : # | title | date | director | story | synopsis | notes row 1 : 13 | sacre bleu cross | february 1, 1967 | gerry chiniquy | john w. dunn | when they go after hassan the assassin, deux-deux gives the inspector an unlucky rabbit's foot | the commissioner does not appear row 2 : 14 | le quiet squad | may 17, 1967 | robert mckimson | jim ryan | the commissioner is overworked and needs absolute quiet or he goes into uncontrolled fits of temper. the inspector is assigned to look after him, but has trouble with a noisy cat | sgt. deux-deux does not appear row 3 : 15 | bomb voyage | may 22, 1967 | robert mckimson | tony benedict | the commissioner is kidnapped by aliens, and the inspector goes to rescue him | music score is set to ottorino respighi's pines of rome row 4 : 16 | le pig-al patrol | may 24, 1967 | gerry chiniquy | jim ryan | the inspector is sent after biker pig al and his biker gang | sgt. deux-deux does not appear row 5 : 17 | le bowser bagger | may 30, 1967 | gerry chiniquy | jim ryan | the inspector is given private bowser, a very energetic dog, in his efforts to track down a thief | sgt. deux-deux does not appear row 6 : 18 | le escape goat | june 29, 1967 | gerry chiniquy | jim ryan | after being fired for letting louie le finke escape, the inspector tries to stop him from taking vengeance on the commissioner, but ends up becoming part of the manhunt himself | sgt. deux-deux does not appear row 7 : 19 | le cop on le rocks | july 3, 1967 | george singer | jim ryan | the inspector is sent to prison having been mistaken for a bank robber who looks exactly like him. he soon realizes that his backfiring attempts to escape adds even more years to his sentence | sgt. deux-deux and the commissioner do not appear row 8 : 20 | c | | | | | row 9 : de guerre | august 16, 1967 | gerry chiniquy | john w. dunn | the inspector is continually outwitted by a c | | row 10 : that steals jewels | sgt. deux-deux and the commissioner do not appear | | | | | row 11 : 21 | canadian can-can | september 20, 1967 | gerry chiniquy | john w. dunn | sent to canada on an exchange programme, the inspector is sent after two-faced harry, who has an innocent face on his front and an evil face on his back | sgt. deux-deux does not appear row 12 : 22 | tour de farce | october 25, 1967 | gerry chiniquy | jim ryan | through his own mistake, the inspector is stranded on a deserted island with burly convict mack le truck, who is trying to kill him | sgt. deux-deux and the commissioner do not appear row 13 : 23 | the shooting of caribou lou | december 20, 1967 | gerry chiniquy | john w. dunn | on holiday in canada as a mountie, the inspector is kidnapped by the diminutive but aggressive fur trapper caribou lou | sgt. deux-deux and the commissioner do not appear | col : count ( "*" ) row 1 : 0 | select count ( * ) where date = 'august 16, 1967' <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & title & date & director & story & synopsis & notes \\
\midrule
0 & 13 & sacre bleu cross & february 1, 1967 & gerry chiniquy & john w. dunn & when they go after hassan the assassin, deux-deux gives the inspector an unlucky rabbit's foot & the commissioner does not appear \\
1 & 14 & le quiet squad & may 17, 1967 & robert mckimson & jim ryan & the commissioner is overworked and needs absolute quiet or he goes into uncontrolled fits of temper. the inspector is assigned to look after him, but has trouble with a noisy cat & sgt. deux-deux does not appear \\
2 & 15 & bomb voyage & may 22, 1967 & robert mckimson & tony benedict & the commissioner is kidnapped by aliens, and the inspector goes to rescue him & music score is set to ottorino respighi's pines of rome \\
3 & 16 & le pig-al patrol & may 24, 1967 & gerry chiniquy & jim ryan & the inspector is sent after biker pig al and his biker gang & sgt. deux-deux does not appear \\
4 & 17 & le bowser bagger & may 30, 1967 & gerry chiniquy & jim ryan & the inspector is given private bowser, a very energetic dog, in his efforts to track down a thief & sgt. deux-deux does not appear \\
5 & 18 & le escape goat & june 29, 1967 & gerry chiniquy & jim ryan & after being fired for letting louie le finke escape, the inspector tries to stop him from taking vengeance on the commissioner, but ends up becoming part of the manhunt himself & sgt. deux-deux does not appear \\
6 & 19 & le cop on le rocks & july 3, 1967 & george singer & jim ryan & the inspector is sent to prison having been mistaken for a bank robber who looks exactly like him. he soon realizes that his backfiring attempts to escape adds even more years to his sentence & sgt. deux-deux and the commissioner do not appear \\
7 & 20 & c & & & & & \\
8 & de guerre & august 16, 1967 & gerry chiniquy & john w. dunn & the inspector is continually outwitted by a c & & \\
9 & that steals jewels & sgt. deux-deux and the commissioner do not appear & & & & & \\
10 & 21 & canadian can-can & september 20, 1967 & gerry chiniquy & john w. dunn & sent to canada on an exchange programme, the inspector is sent after two-faced harry, who has an innocent face on his front and an evil face on his back & sgt. deux-deux does not appear \\
11 & 22 & tour de farce & october 25, 1967 & gerry chiniquy & jim ryan & through his own mistake, the inspector is stranded on a deserted island with burly convict mack le truck, who is trying to kill him & sgt. deux-deux and the commissioner do not appear \\
12 & 23 & the shooting of caribou lou & december 20, 1967 & gerry chiniquy & john w. dunn & on holiday in canada as a mountie, the inspector is kidnapped by the diminutive but aggressive fur trapper caribou lou & sgt. deux-deux and the commissioner do not appear \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where date = 'august 16, 1967' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>title</th>
<th>date</th>
<th>director</th>
<th>story</th>
<th>synopsis</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>13</td>
<td>sacre bleu cross</td>
<td>february 1, 1967</td>
<td>gerry chiniquy</td>
<td>john w. dunn</td>
<td>when they go after hassan the assassin, deux-deux gives the inspector an unlucky rabbit's foot</td>
<td>the commissioner does not appear</td>
</tr>
<tr>
<th>1</th>
<td>14</td>
<td>le quiet squad</td>
<td>may 17, 1967</td>
<td>robert mckimson</td>
<td>jim ryan</td>
<td>the commissioner is overworked and needs absolute quiet or he goes into uncontrolled fits of temper. the inspector is assigned to look after him, but has trouble with a noisy cat</td>
<td>sgt. deux-deux does not appear</td>
</tr>
<tr>
<th>2</th>
<td>15</td>
<td>bomb voyage</td>
<td>may 22, 1967</td>
<td>robert mckimson</td>
<td>tony benedict</td>
<td>the commissioner is kidnapped by aliens, and the inspector goes to rescue him</td>
<td>music score is set to ottorino respighi's pines of rome</td>
</tr>
<tr>
<th>3</th>
<td>16</td>
<td>le pig-al patrol</td>
<td>may 24, 1967</td>
<td>gerry chiniquy</td>
<td>jim ryan</td>
<td>the inspector is sent after biker pig al and his biker gang</td>
<td>sgt. deux-deux does not appear</td>
</tr>
<tr>
<th>4</th>
<td>17</td>
<td>le bowser bagger</td>
<td>may 30, 1967</td>
<td>gerry chiniquy</td>
<td>jim ryan</td>
<td>the inspector is given private bowser, a very energetic dog, in his efforts to track down a thief</td>
<td>sgt. deux-deux does not appear</td>
</tr>
<tr>
<th>5</th>
<td>18</td>
<td>le escape goat</td>
<td>june 29, 1967</td>
<td>gerry chiniquy</td>
<td>jim ryan</td>
<td>after being fired for letting louie le finke escape, the inspector tries to stop him from taking vengeance on the commissioner, but ends up becoming part of the manhunt himself</td>
<td>sgt. deux-deux does not appear</td>
</tr>
<tr>
<th>6</th>
<td>19</td>
<td>le cop on le rocks</td>
<td>july 3, 1967</td>
<td>george singer</td>
<td>jim ryan</td>
<td>the inspector is sent to prison having been mistaken for a bank robber who looks exactly like him. he soon realizes that his backfiring attempts to escape adds even more years to his sentence</td>
<td>sgt. deux-deux and the commissioner do not appear</td>
</tr>
<tr>
<th>7</th>
<td>20</td>
<td>c</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>8</th>
<td>de guerre</td>
<td>august 16, 1967</td>
<td>gerry chiniquy</td>
<td>john w. dunn</td>
<td>the inspector is continually outwitted by a c</td>
<td></td>
<td></td>
</tr>
<tr>
<th>9</th>
<td>that steals jewels</td>
<td>sgt. deux-deux and the commissioner do not appear</td>
<td></td>
<td></td>
<td></td>
<td></td>
<td></td>
</tr>
<tr>
<th>10</th>
<td>21</td>
<td>canadian can-can</td>
<td>september 20, 1967</td>
<td>gerry chiniquy</td>
<td>john w. dunn</td>
<td>sent to canada on an exchange programme, the inspector is sent after two-faced harry, who has an innocent face on his front and an evil face on his back</td>
<td>sgt. deux-deux does not appear</td>
</tr>
<tr>
<th>11</th>
<td>22</td>
<td>tour de farce</td>
<td>october 25, 1967</td>
<td>gerry chiniquy</td>
<td>jim ryan</td>
<td>through his own mistake, the inspector is stranded on a deserted island with burly convict mack le truck, who is trying to kill him</td>
<td>sgt. deux-deux and the commissioner do not appear</td>
</tr>
<tr>
<th>12</th>
<td>23</td>
<td>the shooting of caribou lou</td>
<td>december 20, 1967</td>
<td>gerry chiniquy</td>
<td>john w. dunn</td>
<td>on holiday in canada as a mountie, the inspector is kidnapped by the diminutive but aggressive fur trapper caribou lou</td>
<td>sgt. deux-deux and the commissioner do not appear</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( * ) where date = 'august 16, 1967' <table_name> : table | | # | title | date | director | story | synopsis | notes |
|---:|:-------------------|:--------------------------------------------------|:-------------------|:----------------|:----------------------------------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:--------------------------------------------------------|
| 0 | 13 | sacre bleu cross | february 1, 1967 | gerry chiniquy | john w. dunn | when they go after hassan the assassin, deux-deux gives the inspector an unlucky rabbit's foot | the commissioner does not appear |
| 1 | 14 | le quiet squad | may 17, 1967 | robert mckimson | jim ryan | the commissioner is overworked and needs absolute quiet or he goes into uncontrolled fits of temper. the inspector is assigned to look after him, but has trouble with a noisy cat | sgt. deux-deux does not appear |
| 2 | 15 | bomb voyage | may 22, 1967 | robert mckimson | tony benedict | the commissioner is kidnapped by aliens, and the inspector goes to rescue him | music score is set to ottorino respighi's pines of rome |
| 3 | 16 | le pig-al patrol | may 24, 1967 | gerry chiniquy | jim ryan | the inspector is sent after biker pig al and his biker gang | sgt. deux-deux does not appear |
| 4 | 17 | le bowser bagger | may 30, 1967 | gerry chiniquy | jim ryan | the inspector is given private bowser, a very energetic dog, in his efforts to track down a thief | sgt. deux-deux does not appear |
| 5 | 18 | le escape goat | june 29, 1967 | gerry chiniquy | jim ryan | after being fired for letting louie le finke escape, the inspector tries to stop him from taking vengeance on the commissioner, but ends up becoming part of the manhunt himself | sgt. deux-deux does not appear |
| 6 | 19 | le cop on le rocks | july 3, 1967 | george singer | jim ryan | the inspector is sent to prison having been mistaken for a bank robber who looks exactly like him. he soon realizes that his backfiring attempts to escape adds even more years to his sentence | sgt. deux-deux and the commissioner do not appear |
| 7 | 20 | c | | | | | |
| 8 | de guerre | august 16, 1967 | gerry chiniquy | john w. dunn | the inspector is continually outwitted by a c | | |
| 9 | that steals jewels | sgt. deux-deux and the commissioner do not appear | | | | | |
| 10 | 21 | canadian can-can | september 20, 1967 | gerry chiniquy | john w. dunn | sent to canada on an exchange programme, the inspector is sent after two-faced harry, who has an innocent face on his front and an evil face on his back | sgt. deux-deux does not appear |
| 11 | 22 | tour de farce | october 25, 1967 | gerry chiniquy | jim ryan | through his own mistake, the inspector is stranded on a deserted island with burly convict mack le truck, who is trying to kill him | sgt. deux-deux and the commissioner do not appear |
| 12 | 23 | the shooting of caribou lou | december 20, 1967 | gerry chiniquy | john w. dunn | on holiday in canada as a mountie, the inspector is kidnapped by the diminutive but aggressive fur trapper caribou lou | sgt. deux-deux and the commissioner do not appear | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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] |
select week where opponent = 'at seattle seahawks' col : week | date | tv time | opponent | result | game site | record | attendance | bye row 1 : 1 | september 7, 1998 | abc 7:00 pm mt | new england patriots | w 27-21 | mile high stadium (abc) | 1-0 | 74745 | 0 row 2 : 2 | september 13, 1998 | fox 2:00 pm mt | dallas cowboys | w 42-23 | mile high stadium (fox) | 2-0 | 75013 | 0 row 3 : 3 | september 20, 1998 | cbs 2:00 pm mt | at oakland raiders | w 34-17 | oakland-alameda county coliseum (cbs) | 3-0 | 56578 | 0 row 4 : 4 | september 27, 1998 | cbs 11:00 am mt | at washington redskins | w 38-16 | fedex field (cbs) | 4-0 | 71880 | 0 row 5 : 5 | october 4, 1998 | fox 2:00 pm mt | philadelphia eagles | w 41-16 | mile high stadium (fox) | 5-0 | 73218 | 0 row 6 : 6 | october 11, 1998 | cbs 2:00 pm mt | at seattle seahawks | w 21-16 | kingdome (cbs) | 6-0 | 66258 | 0 row 7 : 7 | none | none | none | none | none | none | none | 1 row 8 : 8 | october 25, 1998 | cbs 2:00 pm mt | jacksonville jaguars | w 37-24 | mile high stadium (cbs) | 7-0 | 75217 | 0 row 9 : 9 | november 1, 1998 | cbs 11:00 am mt | at cincinnati bengals | w 33-26 | cinergy field (cbs) | 8-0 | 59974 | 0 row 10 : 10 | november 8, 1998 | cbs 2:00 pm mt | san diego chargers | w 27-10 | mile high stadium (cbs) | 9-0 | 74925 | 0 row 11 : 11 | november 16, 1998 | abc 7:00 pm mt | at kansas city chiefs | w 30-7 | arrowhead stadium (abc) | 10-0 | 78100 | 0 row 12 : 12 | november 22, 1998 | cbs 2:00 pm mt | oakland raiders | w 40-14 | mile high stadium (cbs) | 11-0 | 75325 | 0 row 13 : 13 | november 29, 1998 | espn 6:15 pm mt | at san diego chargers | w 31-16 | qualcomm stadium (espn) | 12-0 | 66532 | 0 row 14 : 14 | december 6, 1998 | cbs 2:00 pm mt | kansas city chiefs | w 35-31 | mile high stadium (cbs) | 13-0 | 74962 | 0 row 15 : 15 | december 13, 1998 | cbs 11:00 am mt | at new york giants | l 16-20 | giants stadium (cbs) | 13-1 | 72336 | 0 row 16 : 16 | december 21, 1998 | abc 7:00 pm mt | at miami dolphins | l 21-31 | pro player stadium (abc) | 13-2 | 74363 | 0 row 17 : 17 | december 27, 1998 | cbs 2:15 pm mt | seattle seahawks | w 28-21 | mile high stadium (cbs) | 14-2 | 74057 | 0 | col : week row 1 : 6 | select week where opponent = 'at seattle seahawks' <table_name> : table \begin{tabular}{llllllllll}
\toprule
& week & date & tv time & opponent & result & game site & record & attendance & bye \\
\midrule
0 & 1 & september 7, 1998 & abc 7:00 pm mt & new england patriots & w 27-21 & mile high stadium (abc) & 1-0 & 74745 & 0 \\
1 & 2 & september 13, 1998 & fox 2:00 pm mt & dallas cowboys & w 42-23 & mile high stadium (fox) & 2-0 & 75013 & 0 \\
2 & 3 & september 20, 1998 & cbs 2:00 pm mt & at oakland raiders & w 34-17 & oakland-alameda county coliseum (cbs) & 3-0 & 56578 & 0 \\
3 & 4 & september 27, 1998 & cbs 11:00 am mt & at washington redskins & w 38-16 & fedex field (cbs) & 4-0 & 71880 & 0 \\
4 & 5 & october 4, 1998 & fox 2:00 pm mt & philadelphia eagles & w 41-16 & mile high stadium (fox) & 5-0 & 73218 & 0 \\
5 & 6 & october 11, 1998 & cbs 2:00 pm mt & at seattle seahawks & w 21-16 & kingdome (cbs) & 6-0 & 66258 & 0 \\
6 & 7 & none & none & none & none & none & none & none & 1 \\
7 & 8 & october 25, 1998 & cbs 2:00 pm mt & jacksonville jaguars & w 37-24 & mile high stadium (cbs) & 7-0 & 75217 & 0 \\
8 & 9 & november 1, 1998 & cbs 11:00 am mt & at cincinnati bengals & w 33-26 & cinergy field (cbs) & 8-0 & 59974 & 0 \\
9 & 10 & november 8, 1998 & cbs 2:00 pm mt & san diego chargers & w 27-10 & mile high stadium (cbs) & 9-0 & 74925 & 0 \\
10 & 11 & november 16, 1998 & abc 7:00 pm mt & at kansas city chiefs & w 30-7 & arrowhead stadium (abc) & 10-0 & 78100 & 0 \\
11 & 12 & november 22, 1998 & cbs 2:00 pm mt & oakland raiders & w 40-14 & mile high stadium (cbs) & 11-0 & 75325 & 0 \\
12 & 13 & november 29, 1998 & espn 6:15 pm mt & at san diego chargers & w 31-16 & qualcomm stadium (espn) & 12-0 & 66532 & 0 \\
13 & 14 & december 6, 1998 & cbs 2:00 pm mt & kansas city chiefs & w 35-31 & mile high stadium (cbs) & 13-0 & 74962 & 0 \\
14 & 15 & december 13, 1998 & cbs 11:00 am mt & at new york giants & l 16-20 & giants stadium (cbs) & 13-1 & 72336 & 0 \\
15 & 16 & december 21, 1998 & abc 7:00 pm mt & at miami dolphins & l 21-31 & pro player stadium (abc) & 13-2 & 74363 & 0 \\
16 & 17 & december 27, 1998 & cbs 2:15 pm mt & seattle seahawks & w 28-21 & mile high stadium (cbs) & 14-2 & 74057 & 0 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& week \\
\midrule
0 & 6 \\
\bottomrule
\end{tabular}
| select week where opponent = 'at seattle seahawks' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>week</th>
<th>date</th>
<th>tv time</th>
<th>opponent</th>
<th>result</th>
<th>game site</th>
<th>record</th>
<th>attendance</th>
<th>bye</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>september 7, 1998</td>
<td>abc 7:00 pm mt</td>
<td>new england patriots</td>
<td>w 27-21</td>
<td>mile high stadium (abc)</td>
<td>1-0</td>
<td>74745</td>
<td>0</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>september 13, 1998</td>
<td>fox 2:00 pm mt</td>
<td>dallas cowboys</td>
<td>w 42-23</td>
<td>mile high stadium (fox)</td>
<td>2-0</td>
<td>75013</td>
<td>0</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>september 20, 1998</td>
<td>cbs 2:00 pm mt</td>
<td>at oakland raiders</td>
<td>w 34-17</td>
<td>oakland-alameda county coliseum (cbs)</td>
<td>3-0</td>
<td>56578</td>
<td>0</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>september 27, 1998</td>
<td>cbs 11:00 am mt</td>
<td>at washington redskins</td>
<td>w 38-16</td>
<td>fedex field (cbs)</td>
<td>4-0</td>
<td>71880</td>
<td>0</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>october 4, 1998</td>
<td>fox 2:00 pm mt</td>
<td>philadelphia eagles</td>
<td>w 41-16</td>
<td>mile high stadium (fox)</td>
<td>5-0</td>
<td>73218</td>
<td>0</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>october 11, 1998</td>
<td>cbs 2:00 pm mt</td>
<td>at seattle seahawks</td>
<td>w 21-16</td>
<td>kingdome (cbs)</td>
<td>6-0</td>
<td>66258</td>
<td>0</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>1</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>october 25, 1998</td>
<td>cbs 2:00 pm mt</td>
<td>jacksonville jaguars</td>
<td>w 37-24</td>
<td>mile high stadium (cbs)</td>
<td>7-0</td>
<td>75217</td>
<td>0</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>november 1, 1998</td>
<td>cbs 11:00 am mt</td>
<td>at cincinnati bengals</td>
<td>w 33-26</td>
<td>cinergy field (cbs)</td>
<td>8-0</td>
<td>59974</td>
<td>0</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>november 8, 1998</td>
<td>cbs 2:00 pm mt</td>
<td>san diego chargers</td>
<td>w 27-10</td>
<td>mile high stadium (cbs)</td>
<td>9-0</td>
<td>74925</td>
<td>0</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>november 16, 1998</td>
<td>abc 7:00 pm mt</td>
<td>at kansas city chiefs</td>
<td>w 30-7</td>
<td>arrowhead stadium (abc)</td>
<td>10-0</td>
<td>78100</td>
<td>0</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>november 22, 1998</td>
<td>cbs 2:00 pm mt</td>
<td>oakland raiders</td>
<td>w 40-14</td>
<td>mile high stadium (cbs)</td>
<td>11-0</td>
<td>75325</td>
<td>0</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>november 29, 1998</td>
<td>espn 6:15 pm mt</td>
<td>at san diego chargers</td>
<td>w 31-16</td>
<td>qualcomm stadium (espn)</td>
<td>12-0</td>
<td>66532</td>
<td>0</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>december 6, 1998</td>
<td>cbs 2:00 pm mt</td>
<td>kansas city chiefs</td>
<td>w 35-31</td>
<td>mile high stadium (cbs)</td>
<td>13-0</td>
<td>74962</td>
<td>0</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>december 13, 1998</td>
<td>cbs 11:00 am mt</td>
<td>at new york giants</td>
<td>l 16-20</td>
<td>giants stadium (cbs)</td>
<td>13-1</td>
<td>72336</td>
<td>0</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>december 21, 1998</td>
<td>abc 7:00 pm mt</td>
<td>at miami dolphins</td>
<td>l 21-31</td>
<td>pro player stadium (abc)</td>
<td>13-2</td>
<td>74363</td>
<td>0</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>december 27, 1998</td>
<td>cbs 2:15 pm mt</td>
<td>seattle seahawks</td>
<td>w 28-21</td>
<td>mile high stadium (cbs)</td>
<td>14-2</td>
<td>74057</td>
<td>0</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>week</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>6</td>
</tr>
</tbody>
</table> | select week where opponent = 'at seattle seahawks' <table_name> : table | | week | date | tv time | opponent | result | game site | record | attendance | bye |
|---:|-------:|:-------------------|:----------------|:-----------------------|:---------|:--------------------------------------|:---------|:-------------|------:|
| 0 | 1 | september 7, 1998 | abc 7:00 pm mt | new england patriots | w 27-21 | mile high stadium (abc) | 1-0 | 74745 | 0 |
| 1 | 2 | september 13, 1998 | fox 2:00 pm mt | dallas cowboys | w 42-23 | mile high stadium (fox) | 2-0 | 75013 | 0 |
| 2 | 3 | september 20, 1998 | cbs 2:00 pm mt | at oakland raiders | w 34-17 | oakland-alameda county coliseum (cbs) | 3-0 | 56578 | 0 |
| 3 | 4 | september 27, 1998 | cbs 11:00 am mt | at washington redskins | w 38-16 | fedex field (cbs) | 4-0 | 71880 | 0 |
| 4 | 5 | october 4, 1998 | fox 2:00 pm mt | philadelphia eagles | w 41-16 | mile high stadium (fox) | 5-0 | 73218 | 0 |
| 5 | 6 | october 11, 1998 | cbs 2:00 pm mt | at seattle seahawks | w 21-16 | kingdome (cbs) | 6-0 | 66258 | 0 |
| 6 | 7 | none | none | none | none | none | none | none | 1 |
| 7 | 8 | october 25, 1998 | cbs 2:00 pm mt | jacksonville jaguars | w 37-24 | mile high stadium (cbs) | 7-0 | 75217 | 0 |
| 8 | 9 | november 1, 1998 | cbs 11:00 am mt | at cincinnati bengals | w 33-26 | cinergy field (cbs) | 8-0 | 59974 | 0 |
| 9 | 10 | november 8, 1998 | cbs 2:00 pm mt | san diego chargers | w 27-10 | mile high stadium (cbs) | 9-0 | 74925 | 0 |
| 10 | 11 | november 16, 1998 | abc 7:00 pm mt | at kansas city chiefs | w 30-7 | arrowhead stadium (abc) | 10-0 | 78100 | 0 |
| 11 | 12 | november 22, 1998 | cbs 2:00 pm mt | oakland raiders | w 40-14 | mile high stadium (cbs) | 11-0 | 75325 | 0 |
| 12 | 13 | november 29, 1998 | espn 6:15 pm mt | at san diego chargers | w 31-16 | qualcomm stadium (espn) | 12-0 | 66532 | 0 |
| 13 | 14 | december 6, 1998 | cbs 2:00 pm mt | kansas city chiefs | w 35-31 | mile high stadium (cbs) | 13-0 | 74962 | 0 |
| 14 | 15 | december 13, 1998 | cbs 11:00 am mt | at new york giants | l 16-20 | giants stadium (cbs) | 13-1 | 72336 | 0 |
| 15 | 16 | december 21, 1998 | abc 7:00 pm mt | at miami dolphins | l 21-31 | pro player stadium (abc) | 13-2 | 74363 | 0 |
| 16 | 17 | december 27, 1998 | cbs 2:15 pm mt | seattle seahawks | w 28-21 | mile high stadium (cbs) | 14-2 | 74057 | 0 | | | | week |
|---:|-------:|
| 0 | 6 | | [
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select no where original airdate = '27 june 2011' col : no | episode | title | original airdate | viewers | nightly rank row 1 : 1 | 2-01 | "the return" (part 1) | 16 may 2011 | 0.927 | 12 row 2 : 2 | 2-02 | "baby bumps" (part 2) | 16 may 2011 | 0.76 | 16 row 3 : 3 | 2-03 | "dates, decisions & divorces" | 23 may 2011 | 0.905 | 12 row 4 : 4 | 2-04 | "together we are one" | 30 may 2011 | 0.953 | 11 row 5 : 5 | 2-05 | "the way you are" | 6 june 2011 | 0.954 | 11 row 6 : 6 | 2-06 | "behind closed doors" | 13 june 2011 | 0.982 | 13 row 7 : 7 | 2-07 | "cheating on your test" | 20 june 2011 | 0.995 | 11 row 8 : 8 | 2-08 | "two different places" | 22 june 2011 | 0.904 | 10 row 9 : 9 | 2-09 | "just keep talking" | 27 june 2011 | 0.938 | 10 row 10 : 10 | 2-10 | "episode ten" | 29 june 2011 | 1.07 | 6 row 11 : 11 | 2-11 | "episode eleven" | 6 july 2011 | 0.825 | 14 row 12 : 12 | 2-12 | "episode twelve" | 13 july 2011 | 0.96 | 9 row 13 : 13 | 2-13 | "episode thirteen" | 20 july 2011 | 0.997 | 6 | col : no row 1 : 9 | select no where original airdate = '27 june 2011' <table_name> : table \begin{tabular}{lllllll}
\toprule
& no & episode & title & original airdate & viewers & nightly rank \\
\midrule
0 & 1 & 2-01 & "the return" (part 1) & 16 may 2011 & 0.927 & 12 \\
1 & 2 & 2-02 & "baby bumps" (part 2) & 16 may 2011 & 0.76 & 16 \\
2 & 3 & 2-03 & "dates, decisions & divorces" & 23 may 2011 & 0.905 & 12 \\
3 & 4 & 2-04 & "together we are one" & 30 may 2011 & 0.953 & 11 \\
4 & 5 & 2-05 & "the way you are" & 6 june 2011 & 0.954 & 11 \\
5 & 6 & 2-06 & "behind closed doors" & 13 june 2011 & 0.982 & 13 \\
6 & 7 & 2-07 & "cheating on your test" & 20 june 2011 & 0.995 & 11 \\
7 & 8 & 2-08 & "two different places" & 22 june 2011 & 0.904 & 10 \\
8 & 9 & 2-09 & "just keep talking" & 27 june 2011 & 0.938 & 10 \\
9 & 10 & 2-10 & "episode ten" & 29 june 2011 & 1.07 & 6 \\
10 & 11 & 2-11 & "episode eleven" & 6 july 2011 & 0.825 & 14 \\
11 & 12 & 2-12 & "episode twelve" & 13 july 2011 & 0.96 & 9 \\
12 & 13 & 2-13 & "episode thirteen" & 20 july 2011 & 0.997 & 6 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& no \\
\midrule
0 & 9 \\
\bottomrule
\end{tabular}
| select no where original airdate = '27 june 2011' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>no</th>
<th>episode</th>
<th>title</th>
<th>original airdate</th>
<th>viewers</th>
<th>nightly rank</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>2-01</td>
<td>"the return" (part 1)</td>
<td>16 may 2011</td>
<td>0.927</td>
<td>12</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2-02</td>
<td>"baby bumps" (part 2)</td>
<td>16 may 2011</td>
<td>0.76</td>
<td>16</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2-03</td>
<td>"dates, decisions & divorces"</td>
<td>23 may 2011</td>
<td>0.905</td>
<td>12</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2-04</td>
<td>"together we are one"</td>
<td>30 may 2011</td>
<td>0.953</td>
<td>11</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2-05</td>
<td>"the way you are"</td>
<td>6 june 2011</td>
<td>0.954</td>
<td>11</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2-06</td>
<td>"behind closed doors"</td>
<td>13 june 2011</td>
<td>0.982</td>
<td>13</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2-07</td>
<td>"cheating on your test"</td>
<td>20 june 2011</td>
<td>0.995</td>
<td>11</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2-08</td>
<td>"two different places"</td>
<td>22 june 2011</td>
<td>0.904</td>
<td>10</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>2-09</td>
<td>"just keep talking"</td>
<td>27 june 2011</td>
<td>0.938</td>
<td>10</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>2-10</td>
<td>"episode ten"</td>
<td>29 june 2011</td>
<td>1.07</td>
<td>6</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>2-11</td>
<td>"episode eleven"</td>
<td>6 july 2011</td>
<td>0.825</td>
<td>14</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>2-12</td>
<td>"episode twelve"</td>
<td>13 july 2011</td>
<td>0.96</td>
<td>9</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>2-13</td>
<td>"episode thirteen"</td>
<td>20 july 2011</td>
<td>0.997</td>
<td>6</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>no</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>9</td>
</tr>
</tbody>
</table> | select no where original airdate = '27 june 2011' <table_name> : table | | no | episode | title | original airdate | viewers | nightly rank |
|---:|-----:|:----------|:------------------------------|:-------------------|----------:|---------------:|
| 0 | 1 | 2-01 | "the return" (part 1) | 16 may 2011 | 0.927 | 12 |
| 1 | 2 | 2-02 | "baby bumps" (part 2) | 16 may 2011 | 0.76 | 16 |
| 2 | 3 | 2-03 | "dates, decisions & divorces" | 23 may 2011 | 0.905 | 12 |
| 3 | 4 | 2-04 | "together we are one" | 30 may 2011 | 0.953 | 11 |
| 4 | 5 | 2-05 | "the way you are" | 6 june 2011 | 0.954 | 11 |
| 5 | 6 | 2-06 | "behind closed doors" | 13 june 2011 | 0.982 | 13 |
| 6 | 7 | 2-07 | "cheating on your test" | 20 june 2011 | 0.995 | 11 |
| 7 | 8 | 2-08 | "two different places" | 22 june 2011 | 0.904 | 10 |
| 8 | 9 | 2-09 | "just keep talking" | 27 june 2011 | 0.938 | 10 |
| 9 | 10 | 2-10 | "episode ten" | 29 june 2011 | 1.07 | 6 |
| 10 | 11 | 2-11 | "episode eleven" | 6 july 2011 | 0.825 | 14 |
| 11 | 12 | 2-12 | "episode twelve" | 13 july 2011 | 0.96 | 9 |
| 12 | 13 | 2-13 | "episode thirteen" | 20 july 2011 | 0.997 | 6 | | | | no |
|---:|-----:|
| 0 | 9 | | [
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select count ( * ) where date = 1 col : week | date | kickoff | opponent | results final score | results team record | game site | attendance row 1 : 1 | saturday, april 13 | 7:00 p.m | at rhein fire | w 27-21 | 1-0 | rheinstadion | 32092 row 2 : 2 | saturday, april 20 | 7:00 p.m | london monarchs | w 37-3 | 2-0 | waldstadion | 34186 row 3 : 3 | sunday, april 28 | 6:00 p.m | at barcelona dragons | w 33-29 | 3-0 | estadi olimpic de montjuic | 17503 row 4 : 4 | sunday, may 5 | 7:00 p.m | amsterdam admirals | w 40-28 | 4-0 | waldstadion | 28627 row 5 : 5 | saturday, may 11 | 7:00 p.m | scottish claymores | l 0-20 | 4-1 | waldstadion | 32126 row 6 : 6 | sunday, may 19 | 3:00 p.m | at london monarchs | l 7-27 | 4-2 | white hart lane | 10764 row 7 : 7 | sunday, may 26 | 3:00 p.m | at scottish claymores | l 17-20 | 4-3 | murrayfield stadium | 13116 row 8 : 8 | saturday, june 1 | 7:00 p.m | rhein fire | l 8-31 | 4-4 | waldstadion | 38798 row 9 : 9 | saturday, june 8 | 7:00 p.m | barcelona dragons | w 24-21 | 5-4 | waldstadion | 33115 row 10 : 10 | saturday, june 15 | 6:30 p.m | at amsterdam admirals | w 28-20 | 6-4 | olympisch stadion | 14062 row 11 : 11 | sunday, june 23 | 6:00 p.m | at scottish claymores | l 27-32 | 6-5 | murrayfield stadium | 38982 | col : count ( "*" ) row 1 : 0 | select count ( * ) where date = 1 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& week & date & kickoff & opponent & results final score & results team record & game site & attendance \\
\midrule
0 & 1 & saturday, april 13 & 7:00 p.m & at rhein fire & w 27-21 & 1-0 & rheinstadion & 32092 \\
1 & 2 & saturday, april 20 & 7:00 p.m & london monarchs & w 37-3 & 2-0 & waldstadion & 34186 \\
2 & 3 & sunday, april 28 & 6:00 p.m & at barcelona dragons & w 33-29 & 3-0 & estadi olimpic de montjuic & 17503 \\
3 & 4 & sunday, may 5 & 7:00 p.m & amsterdam admirals & w 40-28 & 4-0 & waldstadion & 28627 \\
4 & 5 & saturday, may 11 & 7:00 p.m & scottish claymores & l 0-20 & 4-1 & waldstadion & 32126 \\
5 & 6 & sunday, may 19 & 3:00 p.m & at london monarchs & l 7-27 & 4-2 & white hart lane & 10764 \\
6 & 7 & sunday, may 26 & 3:00 p.m & at scottish claymores & l 17-20 & 4-3 & murrayfield stadium & 13116 \\
7 & 8 & saturday, june 1 & 7:00 p.m & rhein fire & l 8-31 & 4-4 & waldstadion & 38798 \\
8 & 9 & saturday, june 8 & 7:00 p.m & barcelona dragons & w 24-21 & 5-4 & waldstadion & 33115 \\
9 & 10 & saturday, june 15 & 6:30 p.m & at amsterdam admirals & w 28-20 & 6-4 & olympisch stadion & 14062 \\
10 & 11 & sunday, june 23 & 6:00 p.m & at scottish claymores & l 27-32 & 6-5 & murrayfield stadium & 38982 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where date = 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>week</th>
<th>date</th>
<th>kickoff</th>
<th>opponent</th>
<th>results final score</th>
<th>results team record</th>
<th>game site</th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>saturday, april 13</td>
<td>7:00 p.m</td>
<td>at rhein fire</td>
<td>w 27-21</td>
<td>1-0</td>
<td>rheinstadion</td>
<td>32092</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>saturday, april 20</td>
<td>7:00 p.m</td>
<td>london monarchs</td>
<td>w 37-3</td>
<td>2-0</td>
<td>waldstadion</td>
<td>34186</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>sunday, april 28</td>
<td>6:00 p.m</td>
<td>at barcelona dragons</td>
<td>w 33-29</td>
<td>3-0</td>
<td>estadi olimpic de montjuic</td>
<td>17503</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>sunday, may 5</td>
<td>7:00 p.m</td>
<td>amsterdam admirals</td>
<td>w 40-28</td>
<td>4-0</td>
<td>waldstadion</td>
<td>28627</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>saturday, may 11</td>
<td>7:00 p.m</td>
<td>scottish claymores</td>
<td>l 0-20</td>
<td>4-1</td>
<td>waldstadion</td>
<td>32126</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>sunday, may 19</td>
<td>3:00 p.m</td>
<td>at london monarchs</td>
<td>l 7-27</td>
<td>4-2</td>
<td>white hart lane</td>
<td>10764</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>sunday, may 26</td>
<td>3:00 p.m</td>
<td>at scottish claymores</td>
<td>l 17-20</td>
<td>4-3</td>
<td>murrayfield stadium</td>
<td>13116</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>saturday, june 1</td>
<td>7:00 p.m</td>
<td>rhein fire</td>
<td>l 8-31</td>
<td>4-4</td>
<td>waldstadion</td>
<td>38798</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>saturday, june 8</td>
<td>7:00 p.m</td>
<td>barcelona dragons</td>
<td>w 24-21</td>
<td>5-4</td>
<td>waldstadion</td>
<td>33115</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>saturday, june 15</td>
<td>6:30 p.m</td>
<td>at amsterdam admirals</td>
<td>w 28-20</td>
<td>6-4</td>
<td>olympisch stadion</td>
<td>14062</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>sunday, june 23</td>
<td>6:00 p.m</td>
<td>at scottish claymores</td>
<td>l 27-32</td>
<td>6-5</td>
<td>murrayfield stadium</td>
<td>38982</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( * ) where date = 1 <table_name> : table | | week | date | kickoff | opponent | results final score | results team record | game site | attendance |
|---:|-------:|:-------------------|:----------|:----------------------|:----------------------|:----------------------|:---------------------------|-------------:|
| 0 | 1 | saturday, april 13 | 7:00 p.m | at rhein fire | w 27-21 | 1-0 | rheinstadion | 32092 |
| 1 | 2 | saturday, april 20 | 7:00 p.m | london monarchs | w 37-3 | 2-0 | waldstadion | 34186 |
| 2 | 3 | sunday, april 28 | 6:00 p.m | at barcelona dragons | w 33-29 | 3-0 | estadi olimpic de montjuic | 17503 |
| 3 | 4 | sunday, may 5 | 7:00 p.m | amsterdam admirals | w 40-28 | 4-0 | waldstadion | 28627 |
| 4 | 5 | saturday, may 11 | 7:00 p.m | scottish claymores | l 0-20 | 4-1 | waldstadion | 32126 |
| 5 | 6 | sunday, may 19 | 3:00 p.m | at london monarchs | l 7-27 | 4-2 | white hart lane | 10764 |
| 6 | 7 | sunday, may 26 | 3:00 p.m | at scottish claymores | l 17-20 | 4-3 | murrayfield stadium | 13116 |
| 7 | 8 | saturday, june 1 | 7:00 p.m | rhein fire | l 8-31 | 4-4 | waldstadion | 38798 |
| 8 | 9 | saturday, june 8 | 7:00 p.m | barcelona dragons | w 24-21 | 5-4 | waldstadion | 33115 |
| 9 | 10 | saturday, june 15 | 6:30 p.m | at amsterdam admirals | w 28-20 | 6-4 | olympisch stadion | 14062 |
| 10 | 11 | sunday, june 23 | 6:00 p.m | at scottish claymores | l 27-32 | 6-5 | murrayfield stadium | 38982 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select total where nation = 'germany (eua)' col : rank | nation | gold | silver | bronze | total row 1 : 1 | australia (aus) | 2 | 1 | 0 | 3 row 2 : 2 | italy (ita) | 1 | 1 | 1 | 3 row 3 : 3 | germany (eua) | 1 | 0 | 1 | 2 row 4 : 4 | soviet union (urs) | 1 | 0 | 0 | 1 row 5 : 5 | switzerland (sui) | 0 | 2 | 1 | 3 row 6 : 6 | united states (usa) | 0 | 1 | 0 | 1 row 7 : 7 | great britain (gbr) | 0 | 0 | 1 | 1 row 8 : 7 | france (fra) | 0 | 0 | 1 | 1 | col : total row 1 : 2 | select total where nation = 'germany (eua)' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & australia (aus) & 2 & 1 & 0 & 3 \\
1 & 2 & italy (ita) & 1 & 1 & 1 & 3 \\
2 & 3 & germany (eua) & 1 & 0 & 1 & 2 \\
3 & 4 & soviet union (urs) & 1 & 0 & 0 & 1 \\
4 & 5 & switzerland (sui) & 0 & 2 & 1 & 3 \\
5 & 6 & united states (usa) & 0 & 1 & 0 & 1 \\
6 & 7 & great britain (gbr) & 0 & 0 & 1 & 1 \\
7 & 7 & france (fra) & 0 & 0 & 1 & 1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& total \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select total where nation = 'germany (eua)' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>nation</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>australia (aus)</td>
<td>2</td>
<td>1</td>
<td>0</td>
<td>3</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>italy (ita)</td>
<td>1</td>
<td>1</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>germany (eua)</td>
<td>1</td>
<td>0</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>soviet union (urs)</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>switzerland (sui)</td>
<td>0</td>
<td>2</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>united states (usa)</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>great britain (gbr)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>7</th>
<td>7</td>
<td>france (fra)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2</td>
</tr>
</tbody>
</table> | select total where nation = 'germany (eua)' <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|-------:|:--------------------|-------:|---------:|---------:|--------:|
| 0 | 1 | australia (aus) | 2 | 1 | 0 | 3 |
| 1 | 2 | italy (ita) | 1 | 1 | 1 | 3 |
| 2 | 3 | germany (eua) | 1 | 0 | 1 | 2 |
| 3 | 4 | soviet union (urs) | 1 | 0 | 0 | 1 |
| 4 | 5 | switzerland (sui) | 0 | 2 | 1 | 3 |
| 5 | 6 | united states (usa) | 0 | 1 | 0 | 1 |
| 6 | 7 | great britain (gbr) | 0 | 0 | 1 | 1 |
| 7 | 7 | france (fra) | 0 | 0 | 1 | 1 | | | | total |
|---:|--------:|
| 0 | 2 | | [
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select count ( # ) where # = 0 col : # | title | producer(s) | performer (s) | sample(s) | length row 1 : 1 | "likwit" | e-swift, tha alkaholiks | tash, j-ro, king tee | "ode to billy joe" by lou donaldson | 2:34 row 2 : 2 | "only when i'm drunk" | e-swift, tha alkaholiks | j-ro, tash, e-swift | "seven minutes of funk" by tyrone thomas & the whole darn family | 3:36 row 3 : 3 | "last call" | e-swift, king tee | tash, j-ro, e-swift | "the payback" by james brown | 4:37 row 4 : 4 | "can't tell me shit" | derick "d. pimp" williams, e-swift | e-swift, j-ro | "think(about it)" by lyn collins | 4:09 row 5 : 5 | "turn tha party out" | lootpack, tha alkaholiks | lootpack, tash, j-ro, e-swift | "synthetic substitution" by melvin bliss | 3:19 row 6 : 6 | "bullshit" | king tee, e-swift, tha alkaholiks | j-ro, king tee | "it's a new day" by skull snaps | 3:27 row 7 : 7 | "soda pop" | e-swift, king tee | e-swift, field trip, tash | "hard times" by baby huey "snakin' the grass" by cannonball adderley | 2:48 row 8 : 8 | "make room" | e-swift, tha alkaholiks | j-ro, tash | "sing a simple song" by sly & the family stone "blow your head" by fred wesley & the j.b.'s | 3:28 row 9 : 9 | "mary jane" | lootpack, tha alkaholiks | j-ro, tash | "mary jane" by rick james | 3:31 row 10 : 10 | "who dem niggas" | e-swift, tha alkaholiks | threat, e-swift, j-ro, tash | "take me to the mardi gras" by bob james "blind alley" by emotions "you can't love me if you don't respect me" by lyn collins | 3:46 | col : count ( "#" ) row 1 : 0 | select count ( # ) where # = 0 <table_name> : table \begin{tabular}{lllllll}
\toprule
& # & title & producer(s) & performer (s) & sample(s) & length \\
\midrule
0 & 1 & "likwit" & e-swift, tha alkaholiks & tash, j-ro, king tee & "ode to billy joe" by lou donaldson & 2:34 \\
1 & 2 & "only when i'm drunk" & e-swift, tha alkaholiks & j-ro, tash, e-swift & "seven minutes of funk" by tyrone thomas & the whole darn family & 3:36 \\
2 & 3 & "last call" & e-swift, king tee & tash, j-ro, e-swift & "the payback" by james brown & 4:37 \\
3 & 4 & "can't tell me shit" & derick "d. pimp" williams, e-swift & e-swift, j-ro & "think(about it)" by lyn collins & 4:09 \\
4 & 5 & "turn tha party out" & lootpack, tha alkaholiks & lootpack, tash, j-ro, e-swift & "synthetic substitution" by melvin bliss & 3:19 \\
5 & 6 & "bullshit" & king tee, e-swift, tha alkaholiks & j-ro, king tee & "it's a new day" by skull snaps & 3:27 \\
6 & 7 & "soda pop" & e-swift, king tee & e-swift, field trip, tash & "hard times" by baby huey "snakin' the grass" by cannonball adderley & 2:48 \\
7 & 8 & "make room" & e-swift, tha alkaholiks & j-ro, tash & "sing a simple song" by sly & the family stone "blow your head" by fred wesley & the j.b.'s & 3:28 \\
8 & 9 & "mary jane" & lootpack, tha alkaholiks & j-ro, tash & "mary jane" by rick james & 3:31 \\
9 & 10 & "who dem niggas" & e-swift, tha alkaholiks & threat, e-swift, j-ro, tash & "take me to the mardi gras" by bob james "blind alley" by emotions "you can't love me if you don't respect me" by lyn collins & 3:46 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "#" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( # ) where # = 0 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>title</th>
<th>producer(s)</th>
<th>performer (s)</th>
<th>sample(s)</th>
<th>length</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>"likwit"</td>
<td>e-swift, tha alkaholiks</td>
<td>tash, j-ro, king tee</td>
<td>"ode to billy joe" by lou donaldson</td>
<td>2:34</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>"only when i'm drunk"</td>
<td>e-swift, tha alkaholiks</td>
<td>j-ro, tash, e-swift</td>
<td>"seven minutes of funk" by tyrone thomas & the whole darn family</td>
<td>3:36</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>"last call"</td>
<td>e-swift, king tee</td>
<td>tash, j-ro, e-swift</td>
<td>"the payback" by james brown</td>
<td>4:37</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>"can't tell me shit"</td>
<td>derick "d. pimp" williams, e-swift</td>
<td>e-swift, j-ro</td>
<td>"think(about it)" by lyn collins</td>
<td>4:09</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>"turn tha party out"</td>
<td>lootpack, tha alkaholiks</td>
<td>lootpack, tash, j-ro, e-swift</td>
<td>"synthetic substitution" by melvin bliss</td>
<td>3:19</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>"bullshit"</td>
<td>king tee, e-swift, tha alkaholiks</td>
<td>j-ro, king tee</td>
<td>"it's a new day" by skull snaps</td>
<td>3:27</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>"soda pop"</td>
<td>e-swift, king tee</td>
<td>e-swift, field trip, tash</td>
<td>"hard times" by baby huey "snakin' the grass" by cannonball adderley</td>
<td>2:48</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>"make room"</td>
<td>e-swift, tha alkaholiks</td>
<td>j-ro, tash</td>
<td>"sing a simple song" by sly & the family stone "blow your head" by fred wesley & the j.b.'s</td>
<td>3:28</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>"mary jane"</td>
<td>lootpack, tha alkaholiks</td>
<td>j-ro, tash</td>
<td>"mary jane" by rick james</td>
<td>3:31</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>"who dem niggas"</td>
<td>e-swift, tha alkaholiks</td>
<td>threat, e-swift, j-ro, tash</td>
<td>"take me to the mardi gras" by bob james "blind alley" by emotions "you can't love me if you don't respect me" by lyn collins</td>
<td>3:46</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "#" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( # ) where # = 0 <table_name> : table | | # | title | producer(s) | performer (s) | sample(s) | length |
|---:|----:|:----------------------|:-----------------------------------|:------------------------------|:------------------------------------------------------------------------------------------------------------------------------|:---------|
| 0 | 1 | "likwit" | e-swift, tha alkaholiks | tash, j-ro, king tee | "ode to billy joe" by lou donaldson | 2:34 |
| 1 | 2 | "only when i'm drunk" | e-swift, tha alkaholiks | j-ro, tash, e-swift | "seven minutes of funk" by tyrone thomas & the whole darn family | 3:36 |
| 2 | 3 | "last call" | e-swift, king tee | tash, j-ro, e-swift | "the payback" by james brown | 4:37 |
| 3 | 4 | "can't tell me shit" | derick "d. pimp" williams, e-swift | e-swift, j-ro | "think(about it)" by lyn collins | 4:09 |
| 4 | 5 | "turn tha party out" | lootpack, tha alkaholiks | lootpack, tash, j-ro, e-swift | "synthetic substitution" by melvin bliss | 3:19 |
| 5 | 6 | "bullshit" | king tee, e-swift, tha alkaholiks | j-ro, king tee | "it's a new day" by skull snaps | 3:27 |
| 6 | 7 | "soda pop" | e-swift, king tee | e-swift, field trip, tash | "hard times" by baby huey "snakin' the grass" by cannonball adderley | 2:48 |
| 7 | 8 | "make room" | e-swift, tha alkaholiks | j-ro, tash | "sing a simple song" by sly & the family stone "blow your head" by fred wesley & the j.b.'s | 3:28 |
| 8 | 9 | "mary jane" | lootpack, tha alkaholiks | j-ro, tash | "mary jane" by rick james | 3:31 |
| 9 | 10 | "who dem niggas" | e-swift, tha alkaholiks | threat, e-swift, j-ro, tash | "take me to the mardi gras" by bob james "blind alley" by emotions "you can't love me if you don't respect me" by lyn collins | 3:46 | | | | count ( "#" ) |
|---:|----------------:|
| 0 | 0 | | [
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select # - # where english translation = 'we laugh' col : # | title | english translation | original album | length row 1 : 1 | mimpi yang sempurna | a perfect dream | kisah 2002 malam | 4:30 row 2 : 2 | bintang di surga | stars in the heaven | bintang di surga | none row 3 : 3 | aku dan bintang | the stars and me | taman langit | 3:39 row 4 : 4 | jauh mimpiku | distant dreams of mine | ost. alexandria | none row 5 : 5 | hari yang cerah untuk jiwa yang sepi | a bright day for a lonely soul | hari yang cerah | 3:59 row 6 : 6 | menunggu pagi | waiting for dawn | ost. alexandria | none row 7 : 7 | khayalan tingkat tinggi | high-level imagination | bintang di surga | none row 8 : 8 | sahabat | best friend | taman langit | 4:33 row 9 : 9 | sally sendiri | sally alone | hari yang cerah | 4:17 row 10 : 10 | langit tak mendengar | the sky didn't listen | ost. alexandria | none row 11 : 11 | di belakangku | behind me | bintang di surga | none row 12 : 12 | kita tertawa | we laugh | taman langit | 3:29 row 13 : 13 | membebaniku | burdening me | ost. alexandria | 4:25 row 14 : 14 | cobalah mengerti | try to understand | hari yang cerah | 3:30 row 15 : 15 | topeng | mask | taman langit | 4:25 | col : "# - #" row 1 : # - # | select # - # where english translation = 'we laugh' <table_name> : table \begin{tabular}{llllll}
\toprule
& # & title & english translation & original album & length \\
\midrule
0 & 1 & mimpi yang sempurna & a perfect dream & kisah 2002 malam & 4:30 \\
1 & 2 & bintang di surga & stars in the heaven & bintang di surga & none \\
2 & 3 & aku dan bintang & the stars and me & taman langit & 3:39 \\
3 & 4 & jauh mimpiku & distant dreams of mine & ost. alexandria & none \\
4 & 5 & hari yang cerah untuk jiwa yang sepi & a bright day for a lonely soul & hari yang cerah & 3:59 \\
5 & 6 & menunggu pagi & waiting for dawn & ost. alexandria & none \\
6 & 7 & khayalan tingkat tinggi & high-level imagination & bintang di surga & none \\
7 & 8 & sahabat & best friend & taman langit & 4:33 \\
8 & 9 & sally sendiri & sally alone & hari yang cerah & 4:17 \\
9 & 10 & langit tak mendengar & the sky didn't listen & ost. alexandria & none \\
10 & 11 & di belakangku & behind me & bintang di surga & none \\
11 & 12 & kita tertawa & we laugh & taman langit & 3:29 \\
12 & 13 & membebaniku & burdening me & ost. alexandria & 4:25 \\
13 & 14 & cobalah mengerti & try to understand & hari yang cerah & 3:30 \\
14 & 15 & topeng & mask & taman langit & 4:25 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "# - #" \\
\midrule
0 & # - # \\
\bottomrule
\end{tabular}
| select # - # where english translation = 'we laugh' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>title</th>
<th>english translation</th>
<th>original album</th>
<th>length</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>mimpi yang sempurna</td>
<td>a perfect dream</td>
<td>kisah 2002 malam</td>
<td>4:30</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>bintang di surga</td>
<td>stars in the heaven</td>
<td>bintang di surga</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>aku dan bintang</td>
<td>the stars and me</td>
<td>taman langit</td>
<td>3:39</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>jauh mimpiku</td>
<td>distant dreams of mine</td>
<td>ost. alexandria</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>hari yang cerah untuk jiwa yang sepi</td>
<td>a bright day for a lonely soul</td>
<td>hari yang cerah</td>
<td>3:59</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>menunggu pagi</td>
<td>waiting for dawn</td>
<td>ost. alexandria</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>khayalan tingkat tinggi</td>
<td>high-level imagination</td>
<td>bintang di surga</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>sahabat</td>
<td>best friend</td>
<td>taman langit</td>
<td>4:33</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>sally sendiri</td>
<td>sally alone</td>
<td>hari yang cerah</td>
<td>4:17</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>langit tak mendengar</td>
<td>the sky didn't listen</td>
<td>ost. alexandria</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>di belakangku</td>
<td>behind me</td>
<td>bintang di surga</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>kita tertawa</td>
<td>we laugh</td>
<td>taman langit</td>
<td>3:29</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>membebaniku</td>
<td>burdening me</td>
<td>ost. alexandria</td>
<td>4:25</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>cobalah mengerti</td>
<td>try to understand</td>
<td>hari yang cerah</td>
<td>3:30</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>topeng</td>
<td>mask</td>
<td>taman langit</td>
<td>4:25</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"# - #"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td># - #</td>
</tr>
</tbody>
</table> | select # - # where english translation = 'we laugh' <table_name> : table | | # | title | english translation | original album | length |
|---:|----:|:-------------------------------------|:-------------------------------|:-----------------|:---------|
| 0 | 1 | mimpi yang sempurna | a perfect dream | kisah 2002 malam | 4:30 |
| 1 | 2 | bintang di surga | stars in the heaven | bintang di surga | none |
| 2 | 3 | aku dan bintang | the stars and me | taman langit | 3:39 |
| 3 | 4 | jauh mimpiku | distant dreams of mine | ost. alexandria | none |
| 4 | 5 | hari yang cerah untuk jiwa yang sepi | a bright day for a lonely soul | hari yang cerah | 3:59 |
| 5 | 6 | menunggu pagi | waiting for dawn | ost. alexandria | none |
| 6 | 7 | khayalan tingkat tinggi | high-level imagination | bintang di surga | none |
| 7 | 8 | sahabat | best friend | taman langit | 4:33 |
| 8 | 9 | sally sendiri | sally alone | hari yang cerah | 4:17 |
| 9 | 10 | langit tak mendengar | the sky didn't listen | ost. alexandria | none |
| 10 | 11 | di belakangku | behind me | bintang di surga | none |
| 11 | 12 | kita tertawa | we laugh | taman langit | 3:29 |
| 12 | 13 | membebaniku | burdening me | ost. alexandria | 4:25 |
| 13 | 14 | cobalah mengerti | try to understand | hari yang cerah | 3:30 |
| 14 | 15 | topeng | mask | taman langit | 4:25 | | | | "# - #" |
|---:|:----------|
| 0 | # - # | | [
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select no. in series - no. in series - no. in season where no. in season = 9 col : no. in series | no. in season | title | directed by | written by | original air date | prod. code row 1 : 68 | 1 | "you can go home again" | jeff mccracken | mark blutman & howard busgang | september 20, 1996 | b720 row 2 : 69 | 2 | "hair today, goon tomorrow" | jeff mccracken | susan estelle jansen | september 27, 1996 | b721 row 3 : 70 | 3 | "i ain't gonna spray lettuce no more" | jeff mccracken | mark blutman & howard busgang | october 4, 1996 | b722 row 4 : 71 | 4 | "fishing for virna" | jeff mccracken | matthew nelson | october 11, 1996 | b723 row 5 : 72 | 5 | "shallow boy" | jeff mccracken | jeff sherman | october 18, 1996 | b724 row 6 : 73 | 6 | "janitor dad" | jeff mccracken | jeff menell | october 25, 1996 | b725 row 7 : 74 | 7 | "singled out" | jeff mccracken | steve hibbert | november 1, 1996 | b727 row 8 : 75 | 8 | "dangerous secret" | jeff mccracken | jeff sherman | november 8, 1996 | b726 row 9 : 76 | 9 | "sixteen candles and four-hundred-pound men" | jeff mccracken | matthew nelson | november 15, 1996 | b728 row 10 : 77 | 10 | "turkey day" | jeff mccracken | susan estelle jansen | november 22, 1996 | b729 row 11 : 78 | 11 | "an affair to forget" | jeff mccracken | story by: eileen o'hare teleplay by: jeff sherman | november 29, 1996 | b730 row 12 : 79 | 12 | "easy street" | jeff mccracken | jeff menell | december 13, 1996 | b732 row 13 : 80 | 13 | "b & b's b 'n' b" | jeff mccracken | mark blutman & howard busgang | january 3, 1997 | b733 row 14 : 81 | 14 | "wheels" | jeff mccracken | jeff sherman | january 17, 1997 | b734 row 15 : 82 | 15 | "chick like me" | jeff mccracken | steve hibbert | january 31, 1997 | b731 row 16 : 83 | 16 | "a long walk to pittsburgh (part 1)" | jeff mccracken | matthew nelson | february 7, 1997 | b736 row 17 : 84 | 17 | "a long walk to pittsburgh (part 2)" | jeff mccracken | mark blutman & howard busgang | february 14, 1997 | b737 row 18 : 85 | 18 | "uncle daddy" | jeff mccracken | steve young | february 28, 1997 | b738 row 19 : 86 | 19 | "quiz show" | jeff mccracken | steve hibbert | march 21, 1997 | b735 row 20 : 87 | 20 | "security guy" | jeff mccracken | steve hibbert | april 25, 1997 | b740 row 21 : 88 | 21 | "cult fiction" | jeff mccracken | jeff menell | may 2, 1997 | b739 row 22 : 89 | 22 | "learning to fly" | jeff mccracken | jeff sherman | may 9, 1997 | b741 | col : "no. in series - no. in series - no. in season" row 1 : no. in series - no. in series - no. in season | select no. in series - no. in series - no. in season where no. in season = 9 <table_name> : table \begin{tabular}{llllllll}
\toprule
& no. in series & no. in season & title & directed by & written by & original air date & prod. code \\
\midrule
0 & 68 & 1 & "you can go home again" & jeff mccracken & mark blutman & howard busgang & september 20, 1996 & b720 \\
1 & 69 & 2 & "hair today, goon tomorrow" & jeff mccracken & susan estelle jansen & september 27, 1996 & b721 \\
2 & 70 & 3 & "i ain't gonna spray lettuce no more" & jeff mccracken & mark blutman & howard busgang & october 4, 1996 & b722 \\
3 & 71 & 4 & "fishing for virna" & jeff mccracken & matthew nelson & october 11, 1996 & b723 \\
4 & 72 & 5 & "shallow boy" & jeff mccracken & jeff sherman & october 18, 1996 & b724 \\
5 & 73 & 6 & "janitor dad" & jeff mccracken & jeff menell & october 25, 1996 & b725 \\
6 & 74 & 7 & "singled out" & jeff mccracken & steve hibbert & november 1, 1996 & b727 \\
7 & 75 & 8 & "dangerous secret" & jeff mccracken & jeff sherman & november 8, 1996 & b726 \\
8 & 76 & 9 & "sixteen candles and four-hundred-pound men" & jeff mccracken & matthew nelson & november 15, 1996 & b728 \\
9 & 77 & 10 & "turkey day" & jeff mccracken & susan estelle jansen & november 22, 1996 & b729 \\
10 & 78 & 11 & "an affair to forget" & jeff mccracken & story by: eileen o'hare teleplay by: jeff sherman & november 29, 1996 & b730 \\
11 & 79 & 12 & "easy street" & jeff mccracken & jeff menell & december 13, 1996 & b732 \\
12 & 80 & 13 & "b & b's b 'n' b" & jeff mccracken & mark blutman & howard busgang & january 3, 1997 & b733 \\
13 & 81 & 14 & "wheels" & jeff mccracken & jeff sherman & january 17, 1997 & b734 \\
14 & 82 & 15 & "chick like me" & jeff mccracken & steve hibbert & january 31, 1997 & b731 \\
15 & 83 & 16 & "a long walk to pittsburgh (part 1)" & jeff mccracken & matthew nelson & february 7, 1997 & b736 \\
16 & 84 & 17 & "a long walk to pittsburgh (part 2)" & jeff mccracken & mark blutman & howard busgang & february 14, 1997 & b737 \\
17 & 85 & 18 & "uncle daddy" & jeff mccracken & steve young & february 28, 1997 & b738 \\
18 & 86 & 19 & "quiz show" & jeff mccracken & steve hibbert & march 21, 1997 & b735 \\
19 & 87 & 20 & "security guy" & jeff mccracken & steve hibbert & april 25, 1997 & b740 \\
20 & 88 & 21 & "cult fiction" & jeff mccracken & jeff menell & may 2, 1997 & b739 \\
21 & 89 & 22 & "learning to fly" & jeff mccracken & jeff sherman & may 9, 1997 & b741 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "no. in series - no. in series - no. in season" \\
\midrule
0 & no. in series - no. in series - no. in season \\
\bottomrule
\end{tabular}
| select no. in series - no. in series - no. in season where no. in season = 9 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>no. in series</th>
<th>no. in season</th>
<th>title</th>
<th>directed by</th>
<th>written by</th>
<th>original air date</th>
<th>prod. code</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>68</td>
<td>1</td>
<td>"you can go home again"</td>
<td>jeff mccracken</td>
<td>mark blutman & howard busgang</td>
<td>september 20, 1996</td>
<td>b720</td>
</tr>
<tr>
<th>1</th>
<td>69</td>
<td>2</td>
<td>"hair today, goon tomorrow"</td>
<td>jeff mccracken</td>
<td>susan estelle jansen</td>
<td>september 27, 1996</td>
<td>b721</td>
</tr>
<tr>
<th>2</th>
<td>70</td>
<td>3</td>
<td>"i ain't gonna spray lettuce no more"</td>
<td>jeff mccracken</td>
<td>mark blutman & howard busgang</td>
<td>october 4, 1996</td>
<td>b722</td>
</tr>
<tr>
<th>3</th>
<td>71</td>
<td>4</td>
<td>"fishing for virna"</td>
<td>jeff mccracken</td>
<td>matthew nelson</td>
<td>october 11, 1996</td>
<td>b723</td>
</tr>
<tr>
<th>4</th>
<td>72</td>
<td>5</td>
<td>"shallow boy"</td>
<td>jeff mccracken</td>
<td>jeff sherman</td>
<td>october 18, 1996</td>
<td>b724</td>
</tr>
<tr>
<th>5</th>
<td>73</td>
<td>6</td>
<td>"janitor dad"</td>
<td>jeff mccracken</td>
<td>jeff menell</td>
<td>october 25, 1996</td>
<td>b725</td>
</tr>
<tr>
<th>6</th>
<td>74</td>
<td>7</td>
<td>"singled out"</td>
<td>jeff mccracken</td>
<td>steve hibbert</td>
<td>november 1, 1996</td>
<td>b727</td>
</tr>
<tr>
<th>7</th>
<td>75</td>
<td>8</td>
<td>"dangerous secret"</td>
<td>jeff mccracken</td>
<td>jeff sherman</td>
<td>november 8, 1996</td>
<td>b726</td>
</tr>
<tr>
<th>8</th>
<td>76</td>
<td>9</td>
<td>"sixteen candles and four-hundred-pound men"</td>
<td>jeff mccracken</td>
<td>matthew nelson</td>
<td>november 15, 1996</td>
<td>b728</td>
</tr>
<tr>
<th>9</th>
<td>77</td>
<td>10</td>
<td>"turkey day"</td>
<td>jeff mccracken</td>
<td>susan estelle jansen</td>
<td>november 22, 1996</td>
<td>b729</td>
</tr>
<tr>
<th>10</th>
<td>78</td>
<td>11</td>
<td>"an affair to forget"</td>
<td>jeff mccracken</td>
<td>story by: eileen o'hare teleplay by: jeff sherman</td>
<td>november 29, 1996</td>
<td>b730</td>
</tr>
<tr>
<th>11</th>
<td>79</td>
<td>12</td>
<td>"easy street"</td>
<td>jeff mccracken</td>
<td>jeff menell</td>
<td>december 13, 1996</td>
<td>b732</td>
</tr>
<tr>
<th>12</th>
<td>80</td>
<td>13</td>
<td>"b & b's b 'n' b"</td>
<td>jeff mccracken</td>
<td>mark blutman & howard busgang</td>
<td>january 3, 1997</td>
<td>b733</td>
</tr>
<tr>
<th>13</th>
<td>81</td>
<td>14</td>
<td>"wheels"</td>
<td>jeff mccracken</td>
<td>jeff sherman</td>
<td>january 17, 1997</td>
<td>b734</td>
</tr>
<tr>
<th>14</th>
<td>82</td>
<td>15</td>
<td>"chick like me"</td>
<td>jeff mccracken</td>
<td>steve hibbert</td>
<td>january 31, 1997</td>
<td>b731</td>
</tr>
<tr>
<th>15</th>
<td>83</td>
<td>16</td>
<td>"a long walk to pittsburgh (part 1)"</td>
<td>jeff mccracken</td>
<td>matthew nelson</td>
<td>february 7, 1997</td>
<td>b736</td>
</tr>
<tr>
<th>16</th>
<td>84</td>
<td>17</td>
<td>"a long walk to pittsburgh (part 2)"</td>
<td>jeff mccracken</td>
<td>mark blutman & howard busgang</td>
<td>february 14, 1997</td>
<td>b737</td>
</tr>
<tr>
<th>17</th>
<td>85</td>
<td>18</td>
<td>"uncle daddy"</td>
<td>jeff mccracken</td>
<td>steve young</td>
<td>february 28, 1997</td>
<td>b738</td>
</tr>
<tr>
<th>18</th>
<td>86</td>
<td>19</td>
<td>"quiz show"</td>
<td>jeff mccracken</td>
<td>steve hibbert</td>
<td>march 21, 1997</td>
<td>b735</td>
</tr>
<tr>
<th>19</th>
<td>87</td>
<td>20</td>
<td>"security guy"</td>
<td>jeff mccracken</td>
<td>steve hibbert</td>
<td>april 25, 1997</td>
<td>b740</td>
</tr>
<tr>
<th>20</th>
<td>88</td>
<td>21</td>
<td>"cult fiction"</td>
<td>jeff mccracken</td>
<td>jeff menell</td>
<td>may 2, 1997</td>
<td>b739</td>
</tr>
<tr>
<th>21</th>
<td>89</td>
<td>22</td>
<td>"learning to fly"</td>
<td>jeff mccracken</td>
<td>jeff sherman</td>
<td>may 9, 1997</td>
<td>b741</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"no. in series - no. in series - no. in season"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>no. in series - no. in series - no. in season</td>
</tr>
</tbody>
</table> | select no. in series - no. in series - no. in season where no. in season = 9 <table_name> : table | | no. in series | no. in season | title | directed by | written by | original air date | prod. code |
|---:|----------------:|----------------:|:---------------------------------------------|:---------------|:--------------------------------------------------|:--------------------|:-------------|
| 0 | 68 | 1 | "you can go home again" | jeff mccracken | mark blutman & howard busgang | september 20, 1996 | b720 |
| 1 | 69 | 2 | "hair today, goon tomorrow" | jeff mccracken | susan estelle jansen | september 27, 1996 | b721 |
| 2 | 70 | 3 | "i ain't gonna spray lettuce no more" | jeff mccracken | mark blutman & howard busgang | october 4, 1996 | b722 |
| 3 | 71 | 4 | "fishing for virna" | jeff mccracken | matthew nelson | october 11, 1996 | b723 |
| 4 | 72 | 5 | "shallow boy" | jeff mccracken | jeff sherman | october 18, 1996 | b724 |
| 5 | 73 | 6 | "janitor dad" | jeff mccracken | jeff menell | october 25, 1996 | b725 |
| 6 | 74 | 7 | "singled out" | jeff mccracken | steve hibbert | november 1, 1996 | b727 |
| 7 | 75 | 8 | "dangerous secret" | jeff mccracken | jeff sherman | november 8, 1996 | b726 |
| 8 | 76 | 9 | "sixteen candles and four-hundred-pound men" | jeff mccracken | matthew nelson | november 15, 1996 | b728 |
| 9 | 77 | 10 | "turkey day" | jeff mccracken | susan estelle jansen | november 22, 1996 | b729 |
| 10 | 78 | 11 | "an affair to forget" | jeff mccracken | story by: eileen o'hare teleplay by: jeff sherman | november 29, 1996 | b730 |
| 11 | 79 | 12 | "easy street" | jeff mccracken | jeff menell | december 13, 1996 | b732 |
| 12 | 80 | 13 | "b & b's b 'n' b" | jeff mccracken | mark blutman & howard busgang | january 3, 1997 | b733 |
| 13 | 81 | 14 | "wheels" | jeff mccracken | jeff sherman | january 17, 1997 | b734 |
| 14 | 82 | 15 | "chick like me" | jeff mccracken | steve hibbert | january 31, 1997 | b731 |
| 15 | 83 | 16 | "a long walk to pittsburgh (part 1)" | jeff mccracken | matthew nelson | february 7, 1997 | b736 |
| 16 | 84 | 17 | "a long walk to pittsburgh (part 2)" | jeff mccracken | mark blutman & howard busgang | february 14, 1997 | b737 |
| 17 | 85 | 18 | "uncle daddy" | jeff mccracken | steve young | february 28, 1997 | b738 |
| 18 | 86 | 19 | "quiz show" | jeff mccracken | steve hibbert | march 21, 1997 | b735 |
| 19 | 87 | 20 | "security guy" | jeff mccracken | steve hibbert | april 25, 1997 | b740 |
| 20 | 88 | 21 | "cult fiction" | jeff mccracken | jeff menell | may 2, 1997 | b739 |
| 21 | 89 | 22 | "learning to fly" | jeff mccracken | jeff sherman | may 9, 1997 | b741 | | | | "no. in series - no. in series - no. in season" |
|---:|:--------------------------------------------------|
| 0 | no. in series - no. in series - no. in season | | [
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select results team record where results team record = '5-4' col : week | date | opponent | results final score | results team record | venue | attendance row 1 : 1 | september 18 | washington redskins | l 24-21 | 0-1 | metropolitan stadium | 47,900 row 2 : 2 | september 24 | at detroit lions | w 34-10 | 1-1 | tiger stadium | 54,418 row 3 : 3 | october 1 | miami dolphins | l 16-14 | 1-2 | metropolitan stadium | 47,900 row 4 : 4 | october 8 | st. louis cardinals | l 19-17 | 1-3 | metropolitan stadium | 49,687 row 5 : 5 | october 15 | at denver broncos | w 23-20 | 2-3 | mile high stadium | 51,656 row 6 : 6 | october 23 | at chicago bears | l 13-10 | 2-4 | soldier field | 55,701 row 7 : 7 | october 29 | at green bay packers | w 27-13 | 3-4 | lambeau field | 56,263 row 8 : 8 | november 5 | new orleans saints | w 37-6 | 4-4 | metropolitan stadium | 49,784 row 9 : 9 | november 12 | detroit lions | w 16-14 | 5-4 | metropolitan stadium | 49,784 row 10 : 10 | november 19 | at los angeles rams | w 45-41 | 6-4 | los angeles memorial coliseum | 77,982 row 11 : 11 | november 26 | at pittsburgh steelers | l 23-10 | 6-5 | three rivers stadium | 50,348 row 12 : 12 | december 3 | chicago bears | w 23-10 | 7-5 | metropolitan stadium | 49,784 row 13 : 13 | december 10 | green bay packers | l 23-7 | 7-6 | metropolitan stadium | 49,784 row 14 : 14 | december 16 | at san francisco 49ers | l 20-17 | 7-7 | candlestick park | 61,214 | col : results team record row 1 : 5-4 | select results team record where results team record = '5-4' <table_name> : table \begin{tabular}{llllllll}
\toprule
& week & date & opponent & results final score & results team record & venue & attendance \\
\midrule
0 & 1 & september 18 & washington redskins & l 24-21 & 0-1 & metropolitan stadium & 47,900 \\
1 & 2 & september 24 & at detroit lions & w 34-10 & 1-1 & tiger stadium & 54,418 \\
2 & 3 & october 1 & miami dolphins & l 16-14 & 1-2 & metropolitan stadium & 47,900 \\
3 & 4 & october 8 & st. louis cardinals & l 19-17 & 1-3 & metropolitan stadium & 49,687 \\
4 & 5 & october 15 & at denver broncos & w 23-20 & 2-3 & mile high stadium & 51,656 \\
5 & 6 & october 23 & at chicago bears & l 13-10 & 2-4 & soldier field & 55,701 \\
6 & 7 & october 29 & at green bay packers & w 27-13 & 3-4 & lambeau field & 56,263 \\
7 & 8 & november 5 & new orleans saints & w 37-6 & 4-4 & metropolitan stadium & 49,784 \\
8 & 9 & november 12 & detroit lions & w 16-14 & 5-4 & metropolitan stadium & 49,784 \\
9 & 10 & november 19 & at los angeles rams & w 45-41 & 6-4 & los angeles memorial coliseum & 77,982 \\
10 & 11 & november 26 & at pittsburgh steelers & l 23-10 & 6-5 & three rivers stadium & 50,348 \\
11 & 12 & december 3 & chicago bears & w 23-10 & 7-5 & metropolitan stadium & 49,784 \\
12 & 13 & december 10 & green bay packers & l 23-7 & 7-6 & metropolitan stadium & 49,784 \\
13 & 14 & december 16 & at san francisco 49ers & l 20-17 & 7-7 & candlestick park & 61,214 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& results team record \\
\midrule
0 & 5-4 \\
\bottomrule
\end{tabular}
| select results team record where results team record = '5-4' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>week</th>
<th>date</th>
<th>opponent</th>
<th>results final score</th>
<th>results team record</th>
<th>venue</th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>september 18</td>
<td>washington redskins</td>
<td>l 24-21</td>
<td>0-1</td>
<td>metropolitan stadium</td>
<td>47,900</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>september 24</td>
<td>at detroit lions</td>
<td>w 34-10</td>
<td>1-1</td>
<td>tiger stadium</td>
<td>54,418</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>october 1</td>
<td>miami dolphins</td>
<td>l 16-14</td>
<td>1-2</td>
<td>metropolitan stadium</td>
<td>47,900</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>october 8</td>
<td>st. louis cardinals</td>
<td>l 19-17</td>
<td>1-3</td>
<td>metropolitan stadium</td>
<td>49,687</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>october 15</td>
<td>at denver broncos</td>
<td>w 23-20</td>
<td>2-3</td>
<td>mile high stadium</td>
<td>51,656</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>october 23</td>
<td>at chicago bears</td>
<td>l 13-10</td>
<td>2-4</td>
<td>soldier field</td>
<td>55,701</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>october 29</td>
<td>at green bay packers</td>
<td>w 27-13</td>
<td>3-4</td>
<td>lambeau field</td>
<td>56,263</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>november 5</td>
<td>new orleans saints</td>
<td>w 37-6</td>
<td>4-4</td>
<td>metropolitan stadium</td>
<td>49,784</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>november 12</td>
<td>detroit lions</td>
<td>w 16-14</td>
<td>5-4</td>
<td>metropolitan stadium</td>
<td>49,784</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>november 19</td>
<td>at los angeles rams</td>
<td>w 45-41</td>
<td>6-4</td>
<td>los angeles memorial coliseum</td>
<td>77,982</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>november 26</td>
<td>at pittsburgh steelers</td>
<td>l 23-10</td>
<td>6-5</td>
<td>three rivers stadium</td>
<td>50,348</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>december 3</td>
<td>chicago bears</td>
<td>w 23-10</td>
<td>7-5</td>
<td>metropolitan stadium</td>
<td>49,784</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>december 10</td>
<td>green bay packers</td>
<td>l 23-7</td>
<td>7-6</td>
<td>metropolitan stadium</td>
<td>49,784</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>december 16</td>
<td>at san francisco 49ers</td>
<td>l 20-17</td>
<td>7-7</td>
<td>candlestick park</td>
<td>61,214</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>results team record</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>5-4</td>
</tr>
</tbody>
</table> | select results team record where results team record = '5-4' <table_name> : table | | week | date | opponent | results final score | results team record | venue | attendance |
|---:|-------:|:-------------|:-----------------------|:----------------------|:----------------------|:------------------------------|:-------------|
| 0 | 1 | september 18 | washington redskins | l 24-21 | 0-1 | metropolitan stadium | 47,900 |
| 1 | 2 | september 24 | at detroit lions | w 34-10 | 1-1 | tiger stadium | 54,418 |
| 2 | 3 | october 1 | miami dolphins | l 16-14 | 1-2 | metropolitan stadium | 47,900 |
| 3 | 4 | october 8 | st. louis cardinals | l 19-17 | 1-3 | metropolitan stadium | 49,687 |
| 4 | 5 | october 15 | at denver broncos | w 23-20 | 2-3 | mile high stadium | 51,656 |
| 5 | 6 | october 23 | at chicago bears | l 13-10 | 2-4 | soldier field | 55,701 |
| 6 | 7 | october 29 | at green bay packers | w 27-13 | 3-4 | lambeau field | 56,263 |
| 7 | 8 | november 5 | new orleans saints | w 37-6 | 4-4 | metropolitan stadium | 49,784 |
| 8 | 9 | november 12 | detroit lions | w 16-14 | 5-4 | metropolitan stadium | 49,784 |
| 9 | 10 | november 19 | at los angeles rams | w 45-41 | 6-4 | los angeles memorial coliseum | 77,982 |
| 10 | 11 | november 26 | at pittsburgh steelers | l 23-10 | 6-5 | three rivers stadium | 50,348 |
| 11 | 12 | december 3 | chicago bears | w 23-10 | 7-5 | metropolitan stadium | 49,784 |
| 12 | 13 | december 10 | green bay packers | l 23-7 | 7-6 | metropolitan stadium | 49,784 |
| 13 | 14 | december 16 | at san francisco 49ers | l 20-17 | 7-7 | candlestick park | 61,214 | | | | results team record |
|---:|:----------------------|
| 0 | 5-4 | | [
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select opponents where score = '1-4' col : date | venue | opponents | score | competition row 1 : 2013-03-06 00:00:00 | dasarath rangasala stadium, kathmandu | bangladesh | 0-4 | 2014 afc challenge cup qualification row 2 : 2013-03-04 00:00:00 | dasarath rangasala stadium, kathmandu | palestine | 0-9 | 2014 afc challenge cup qualification row 3 : 2013-03-02 00:00:00 | dasarath rangasala stadium, kathmandu | nepal | 0-6 | 2014 afc challenge cup qualification row 4 : 2012-11-24 00:00:00 | none | guam | 0-8 | friendly row 5 : 2012-07-20 00:00:00 | none | macau | 1-5 | 2013 eaff east asian cup row 6 : 2012-07-18 00:00:00 | none | guam | 1-3 | 2013 eaff east asian cup row 7 : 2010-06-19 00:00:00 | cnmi | guam | 1-1 | 2010 marianas cup row 8 : 2009-03-15 00:00:00 | none | mongolia | 1-4 | 2010 east asian cup row 9 : 2009-03-13 00:00:00 | none | guam | 1-2 | 2010 east asian cup row 10 : 2009-03-11 00:00:00 | none | macau | 1-6 | 2010 east asian cup row 11 : 2008-04-27 00:00:00 | cnmi | guam | 2-3 | 2008 marianas cup row 12 : 2007-04-01 00:00:00 | none | guam | 0-9 | 2008 east asian football championship preliminary qualification and 2007 marianas cup row 13 : 2007-03-25 00:00:00 | cnmi | guam | 2-3 | 2008 east asian football championship preliminary qualification row 14 : 1999-07-12 00:00:00 | yap sports complex, yap | federated states of micronesia | 0-7 | 1999 micronesia cup row 15 : 1998-08-03 00:00:00 | palau track and field stadium, koror | guam | 3-0 | micronesian games row 16 : 1998-08-02 00:00:00 | palau track and field stadium, koror | palau | 11-2 | micronesian games row 17 : 1998-07-30 00:00:00 | palau track and field stadium, koror | guam | 1-2 | micronesian games | col : opponents row 1 : mongolia | select opponents where score = '1-4' <table_name> : table \begin{tabular}{llllll}
\toprule
& date & venue & opponents & score & competition \\
\midrule
0 & 2013-03-06 00:00:00 & dasarath rangasala stadium, kathmandu & bangladesh & 0-4 & 2014 afc challenge cup qualification \\
1 & 2013-03-04 00:00:00 & dasarath rangasala stadium, kathmandu & palestine & 0-9 & 2014 afc challenge cup qualification \\
2 & 2013-03-02 00:00:00 & dasarath rangasala stadium, kathmandu & nepal & 0-6 & 2014 afc challenge cup qualification \\
3 & 2012-11-24 00:00:00 & none & guam & 0-8 & friendly \\
4 & 2012-07-20 00:00:00 & none & macau & 1-5 & 2013 eaff east asian cup \\
5 & 2012-07-18 00:00:00 & none & guam & 1-3 & 2013 eaff east asian cup \\
6 & 2010-06-19 00:00:00 & cnmi & guam & 1-1 & 2010 marianas cup \\
7 & 2009-03-15 00:00:00 & none & mongolia & 1-4 & 2010 east asian cup \\
8 & 2009-03-13 00:00:00 & none & guam & 1-2 & 2010 east asian cup \\
9 & 2009-03-11 00:00:00 & none & macau & 1-6 & 2010 east asian cup \\
10 & 2008-04-27 00:00:00 & cnmi & guam & 2-3 & 2008 marianas cup \\
11 & 2007-04-01 00:00:00 & none & guam & 0-9 & 2008 east asian football championship preliminary qualification and 2007 marianas cup \\
12 & 2007-03-25 00:00:00 & cnmi & guam & 2-3 & 2008 east asian football championship preliminary qualification \\
13 & 1999-07-12 00:00:00 & yap sports complex, yap & federated states of micronesia & 0-7 & 1999 micronesia cup \\
14 & 1998-08-03 00:00:00 & palau track and field stadium, koror & guam & 3-0 & micronesian games \\
15 & 1998-08-02 00:00:00 & palau track and field stadium, koror & palau & 11-2 & micronesian games \\
16 & 1998-07-30 00:00:00 & palau track and field stadium, koror & guam & 1-2 & micronesian games \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& opponents \\
\midrule
0 & mongolia \\
\bottomrule
\end{tabular}
| select opponents where score = '1-4' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>venue</th>
<th>opponents</th>
<th>score</th>
<th>competition</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2013-03-06 00:00:00</td>
<td>dasarath rangasala stadium, kathmandu</td>
<td>bangladesh</td>
<td>0-4</td>
<td>2014 afc challenge cup qualification</td>
</tr>
<tr>
<th>1</th>
<td>2013-03-04 00:00:00</td>
<td>dasarath rangasala stadium, kathmandu</td>
<td>palestine</td>
<td>0-9</td>
<td>2014 afc challenge cup qualification</td>
</tr>
<tr>
<th>2</th>
<td>2013-03-02 00:00:00</td>
<td>dasarath rangasala stadium, kathmandu</td>
<td>nepal</td>
<td>0-6</td>
<td>2014 afc challenge cup qualification</td>
</tr>
<tr>
<th>3</th>
<td>2012-11-24 00:00:00</td>
<td>none</td>
<td>guam</td>
<td>0-8</td>
<td>friendly</td>
</tr>
<tr>
<th>4</th>
<td>2012-07-20 00:00:00</td>
<td>none</td>
<td>macau</td>
<td>1-5</td>
<td>2013 eaff east asian cup</td>
</tr>
<tr>
<th>5</th>
<td>2012-07-18 00:00:00</td>
<td>none</td>
<td>guam</td>
<td>1-3</td>
<td>2013 eaff east asian cup</td>
</tr>
<tr>
<th>6</th>
<td>2010-06-19 00:00:00</td>
<td>cnmi</td>
<td>guam</td>
<td>1-1</td>
<td>2010 marianas cup</td>
</tr>
<tr>
<th>7</th>
<td>2009-03-15 00:00:00</td>
<td>none</td>
<td>mongolia</td>
<td>1-4</td>
<td>2010 east asian cup</td>
</tr>
<tr>
<th>8</th>
<td>2009-03-13 00:00:00</td>
<td>none</td>
<td>guam</td>
<td>1-2</td>
<td>2010 east asian cup</td>
</tr>
<tr>
<th>9</th>
<td>2009-03-11 00:00:00</td>
<td>none</td>
<td>macau</td>
<td>1-6</td>
<td>2010 east asian cup</td>
</tr>
<tr>
<th>10</th>
<td>2008-04-27 00:00:00</td>
<td>cnmi</td>
<td>guam</td>
<td>2-3</td>
<td>2008 marianas cup</td>
</tr>
<tr>
<th>11</th>
<td>2007-04-01 00:00:00</td>
<td>none</td>
<td>guam</td>
<td>0-9</td>
<td>2008 east asian football championship preliminary qualification and 2007 marianas cup</td>
</tr>
<tr>
<th>12</th>
<td>2007-03-25 00:00:00</td>
<td>cnmi</td>
<td>guam</td>
<td>2-3</td>
<td>2008 east asian football championship preliminary qualification</td>
</tr>
<tr>
<th>13</th>
<td>1999-07-12 00:00:00</td>
<td>yap sports complex, yap</td>
<td>federated states of micronesia</td>
<td>0-7</td>
<td>1999 micronesia cup</td>
</tr>
<tr>
<th>14</th>
<td>1998-08-03 00:00:00</td>
<td>palau track and field stadium, koror</td>
<td>guam</td>
<td>3-0</td>
<td>micronesian games</td>
</tr>
<tr>
<th>15</th>
<td>1998-08-02 00:00:00</td>
<td>palau track and field stadium, koror</td>
<td>palau</td>
<td>11-2</td>
<td>micronesian games</td>
</tr>
<tr>
<th>16</th>
<td>1998-07-30 00:00:00</td>
<td>palau track and field stadium, koror</td>
<td>guam</td>
<td>1-2</td>
<td>micronesian games</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>opponents</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>mongolia</td>
</tr>
</tbody>
</table> | select opponents where score = '1-4' <table_name> : table | | date | venue | opponents | score | competition |
|---:|:--------------------|:--------------------------------------|:-------------------------------|:--------|:--------------------------------------------------------------------------------------|
| 0 | 2013-03-06 00:00:00 | dasarath rangasala stadium, kathmandu | bangladesh | 0-4 | 2014 afc challenge cup qualification |
| 1 | 2013-03-04 00:00:00 | dasarath rangasala stadium, kathmandu | palestine | 0-9 | 2014 afc challenge cup qualification |
| 2 | 2013-03-02 00:00:00 | dasarath rangasala stadium, kathmandu | nepal | 0-6 | 2014 afc challenge cup qualification |
| 3 | 2012-11-24 00:00:00 | none | guam | 0-8 | friendly |
| 4 | 2012-07-20 00:00:00 | none | macau | 1-5 | 2013 eaff east asian cup |
| 5 | 2012-07-18 00:00:00 | none | guam | 1-3 | 2013 eaff east asian cup |
| 6 | 2010-06-19 00:00:00 | cnmi | guam | 1-1 | 2010 marianas cup |
| 7 | 2009-03-15 00:00:00 | none | mongolia | 1-4 | 2010 east asian cup |
| 8 | 2009-03-13 00:00:00 | none | guam | 1-2 | 2010 east asian cup |
| 9 | 2009-03-11 00:00:00 | none | macau | 1-6 | 2010 east asian cup |
| 10 | 2008-04-27 00:00:00 | cnmi | guam | 2-3 | 2008 marianas cup |
| 11 | 2007-04-01 00:00:00 | none | guam | 0-9 | 2008 east asian football championship preliminary qualification and 2007 marianas cup |
| 12 | 2007-03-25 00:00:00 | cnmi | guam | 2-3 | 2008 east asian football championship preliminary qualification |
| 13 | 1999-07-12 00:00:00 | yap sports complex, yap | federated states of micronesia | 0-7 | 1999 micronesia cup |
| 14 | 1998-08-03 00:00:00 | palau track and field stadium, koror | guam | 3-0 | micronesian games |
| 15 | 1998-08-02 00:00:00 | palau track and field stadium, koror | palau | 11-2 | micronesian games |
| 16 | 1998-07-30 00:00:00 | palau track and field stadium, koror | guam | 1-2 | micronesian games | | | | opponents |
|---:|:------------|
| 0 | mongolia | | [
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select count ( airline ) where airline = 'none' col : rank | city | passengers | ranking | airline row 1 : 1 | united states, los angeles | 14749 | none | alaska airlines row 2 : 2 | united states, houston | 5465 | none | united express row 3 : 3 | canada, calgary | 3761 | none | air transat, westjet row 4 : 4 | canada, saskatoon | 2282 | 4 | none row 5 : 5 | canada, vancouver | 2103 | none | air transat row 6 : 6 | united states, phoenix | 1829 | 1 | us airways row 7 : 7 | canada, toronto | 1202 | 1 | air transat, canjet row 8 : 8 | canada, edmonton | 110 | none | none row 9 : 9 | united states, oakland | 107 | none | none | col : count ( "airline" ) row 1 : 3 | select count ( airline ) where airline = 'none' <table_name> : table \begin{tabular}{llllll}
\toprule
& rank & city & passengers & ranking & airline \\
\midrule
0 & 1 & united states, los angeles & 14749 & none & alaska airlines \\
1 & 2 & united states, houston & 5465 & none & united express \\
2 & 3 & canada, calgary & 3761 & none & air transat, westjet \\
3 & 4 & canada, saskatoon & 2282 & 4 & none \\
4 & 5 & canada, vancouver & 2103 & none & air transat \\
5 & 6 & united states, phoenix & 1829 & 1 & us airways \\
6 & 7 & canada, toronto & 1202 & 1 & air transat, canjet \\
7 & 8 & canada, edmonton & 110 & none & none \\
8 & 9 & united states, oakland & 107 & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "airline" ) \\
\midrule
0 & 3 \\
\bottomrule
\end{tabular}
| select count ( airline ) where airline = 'none' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>city</th>
<th>passengers</th>
<th>ranking</th>
<th>airline</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>united states, los angeles</td>
<td>14749</td>
<td>none</td>
<td>alaska airlines</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>united states, houston</td>
<td>5465</td>
<td>none</td>
<td>united express</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>canada, calgary</td>
<td>3761</td>
<td>none</td>
<td>air transat, westjet</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>canada, saskatoon</td>
<td>2282</td>
<td>4</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>canada, vancouver</td>
<td>2103</td>
<td>none</td>
<td>air transat</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>united states, phoenix</td>
<td>1829</td>
<td>1</td>
<td>us airways</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>canada, toronto</td>
<td>1202</td>
<td>1</td>
<td>air transat, canjet</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>canada, edmonton</td>
<td>110</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>united states, oakland</td>
<td>107</td>
<td>none</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "airline" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>3</td>
</tr>
</tbody>
</table> | select count ( airline ) where airline = 'none' <table_name> : table | | rank | city | passengers | ranking | airline |
|---:|-------:|:---------------------------|-------------:|:----------|:---------------------|
| 0 | 1 | united states, los angeles | 14749 | none | alaska airlines |
| 1 | 2 | united states, houston | 5465 | none | united express |
| 2 | 3 | canada, calgary | 3761 | none | air transat, westjet |
| 3 | 4 | canada, saskatoon | 2282 | 4 | none |
| 4 | 5 | canada, vancouver | 2103 | none | air transat |
| 5 | 6 | united states, phoenix | 1829 | 1 | us airways |
| 6 | 7 | canada, toronto | 1202 | 1 | air transat, canjet |
| 7 | 8 | canada, edmonton | 110 | none | none |
| 8 | 9 | united states, oakland | 107 | none | none | | | | count ( "airline" ) |
|---:|----------------------:|
| 0 | 3 | | [
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select pump type and source where pump type and source = 'theoretical carnot cycle limit, source 0 °c' col : pump type and source | typical use | 35 °c (e.g. heated screed floor) | 45 °c (e.g. heated screed floor) | 55 °c (e.g. heated timber floor) | 65 °c (e.g. radiator or dhw) | 75 °c (e.g. radiator and dhw) | 85 °c (e.g. radiator and dhw) row 1 : high-efficiency air source heat pump (ashp), air at -20 °c | none | 2.2 | 2 | none | none | none | none row 2 : two-stage ashp, air at -20 °c | low source temperature | 2.4 | 2.2 | 1.9 | none | none | none row 3 : high efficiency ashp, air at 0 °c | low output temperature | 3.8 | 2.8 | 2.2 | 2 | none | none row 4 : prototype transcritical co 2 (r744) heat pump with tripartite gas cooler, source at 0 °c | high output temperature | 3.3 | none | none | 4.2 | none | 3 row 5 : ground source heat pump (gshp), water at 0 °c | none | 5.0 | 3.7 | 2.9 | 2.4 | none | none row 6 : gshp, ground at 10 °c | low output temperature | 7.2 | 5 | 3.7 | 2.9 | 2.4 | none row 7 : theoretical carnot cycle limit, source -20 °c | none | 5.6 | 4.9 | 4.4 | 4 | 3.7 | 3.4 row 8 : theoretical carnot cycle limit, source 0 °c | none | 8.8 | 7.1 | 6 | 5.2 | 4.6 | 4.2 row 9 : theoretical lorentzen cycle limit (co 2 pump), return fluid 25 °c, source 0 °c | none | 10.1 | 8.8 | 7.9 | 7.1 | 6.5 | 6.1 row 10 : theoretical carnot cycle limit, source 10 °c | none | 12.3 | 9.1 | 7.3 | 6.1 | 5.4 | 4.8 | col : pump type and source row 1 : theoretical carnot cycle limit, source 0 °c | select pump type and source where pump type and source = 'theoretical carnot cycle limit, source 0 °c' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& pump type and source & typical use & 35 °c (e.g. heated screed floor) & 45 °c (e.g. heated screed floor) & 55 °c (e.g. heated timber floor) & 65 °c (e.g. radiator or dhw) & 75 °c (e.g. radiator and dhw) & 85 °c (e.g. radiator and dhw) \\
\midrule
0 & high-efficiency air source heat pump (ashp), air at -20 °c & none & 2.2 & 2 & none & none & none & none \\
1 & two-stage ashp, air at -20 °c & low source temperature & 2.4 & 2.2 & 1.9 & none & none & none \\
2 & high efficiency ashp, air at 0 °c & low output temperature & 3.8 & 2.8 & 2.2 & 2 & none & none \\
3 & prototype transcritical co 2 (r744) heat pump with tripartite gas cooler, source at 0 °c & high output temperature & 3.3 & none & none & 4.2 & none & 3 \\
4 & ground source heat pump (gshp), water at 0 °c & none & 5.0 & 3.7 & 2.9 & 2.4 & none & none \\
5 & gshp, ground at 10 °c & low output temperature & 7.2 & 5 & 3.7 & 2.9 & 2.4 & none \\
6 & theoretical carnot cycle limit, source -20 °c & none & 5.6 & 4.9 & 4.4 & 4 & 3.7 & 3.4 \\
7 & theoretical carnot cycle limit, source 0 °c & none & 8.8 & 7.1 & 6 & 5.2 & 4.6 & 4.2 \\
8 & theoretical lorentzen cycle limit (co 2 pump), return fluid 25 °c, source 0 °c & none & 10.1 & 8.8 & 7.9 & 7.1 & 6.5 & 6.1 \\
9 & theoretical carnot cycle limit, source 10 °c & none & 12.3 & 9.1 & 7.3 & 6.1 & 5.4 & 4.8 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& pump type and source \\
\midrule
0 & theoretical carnot cycle limit, source 0 °c \\
\bottomrule
\end{tabular}
| select pump type and source where pump type and source = 'theoretical carnot cycle limit, source 0 °c' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pump type and source</th>
<th>typical use</th>
<th>35 °c (e.g. heated screed floor)</th>
<th>45 °c (e.g. heated screed floor)</th>
<th>55 °c (e.g. heated timber floor)</th>
<th>65 °c (e.g. radiator or dhw)</th>
<th>75 °c (e.g. radiator and dhw)</th>
<th>85 °c (e.g. radiator and dhw)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>high-efficiency air source heat pump (ashp), air at -20 °c</td>
<td>none</td>
<td>2.2</td>
<td>2</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>two-stage ashp, air at -20 °c</td>
<td>low source temperature</td>
<td>2.4</td>
<td>2.2</td>
<td>1.9</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>high efficiency ashp, air at 0 °c</td>
<td>low output temperature</td>
<td>3.8</td>
<td>2.8</td>
<td>2.2</td>
<td>2</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>prototype transcritical co 2 (r744) heat pump with tripartite gas cooler, source at 0 °c</td>
<td>high output temperature</td>
<td>3.3</td>
<td>none</td>
<td>none</td>
<td>4.2</td>
<td>none</td>
<td>3</td>
</tr>
<tr>
<th>4</th>
<td>ground source heat pump (gshp), water at 0 °c</td>
<td>none</td>
<td>5.0</td>
<td>3.7</td>
<td>2.9</td>
<td>2.4</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>gshp, ground at 10 °c</td>
<td>low output temperature</td>
<td>7.2</td>
<td>5</td>
<td>3.7</td>
<td>2.9</td>
<td>2.4</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>theoretical carnot cycle limit, source -20 °c</td>
<td>none</td>
<td>5.6</td>
<td>4.9</td>
<td>4.4</td>
<td>4</td>
<td>3.7</td>
<td>3.4</td>
</tr>
<tr>
<th>7</th>
<td>theoretical carnot cycle limit, source 0 °c</td>
<td>none</td>
<td>8.8</td>
<td>7.1</td>
<td>6</td>
<td>5.2</td>
<td>4.6</td>
<td>4.2</td>
</tr>
<tr>
<th>8</th>
<td>theoretical lorentzen cycle limit (co 2 pump), return fluid 25 °c, source 0 °c</td>
<td>none</td>
<td>10.1</td>
<td>8.8</td>
<td>7.9</td>
<td>7.1</td>
<td>6.5</td>
<td>6.1</td>
</tr>
<tr>
<th>9</th>
<td>theoretical carnot cycle limit, source 10 °c</td>
<td>none</td>
<td>12.3</td>
<td>9.1</td>
<td>7.3</td>
<td>6.1</td>
<td>5.4</td>
<td>4.8</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pump type and source</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>theoretical carnot cycle limit, source 0 °c</td>
</tr>
</tbody>
</table> | select pump type and source where pump type and source = 'theoretical carnot cycle limit, source 0 °c' <table_name> : table | | pump type and source | typical use | 35 °c (e.g. heated screed floor) | 45 °c (e.g. heated screed floor) | 55 °c (e.g. heated timber floor) | 65 °c (e.g. radiator or dhw) | 75 °c (e.g. radiator and dhw) | 85 °c (e.g. radiator and dhw) |
|---:|:-----------------------------------------------------------------------------------------|:------------------------|-----------------------------------:|:-----------------------------------|:-----------------------------------|:-------------------------------|:--------------------------------|:--------------------------------|
| 0 | high-efficiency air source heat pump (ashp), air at -20 °c | none | 2.2 | 2 | none | none | none | none |
| 1 | two-stage ashp, air at -20 °c | low source temperature | 2.4 | 2.2 | 1.9 | none | none | none |
| 2 | high efficiency ashp, air at 0 °c | low output temperature | 3.8 | 2.8 | 2.2 | 2 | none | none |
| 3 | prototype transcritical co 2 (r744) heat pump with tripartite gas cooler, source at 0 °c | high output temperature | 3.3 | none | none | 4.2 | none | 3 |
| 4 | ground source heat pump (gshp), water at 0 °c | none | 5 | 3.7 | 2.9 | 2.4 | none | none |
| 5 | gshp, ground at 10 °c | low output temperature | 7.2 | 5 | 3.7 | 2.9 | 2.4 | none |
| 6 | theoretical carnot cycle limit, source -20 °c | none | 5.6 | 4.9 | 4.4 | 4 | 3.7 | 3.4 |
| 7 | theoretical carnot cycle limit, source 0 °c | none | 8.8 | 7.1 | 6 | 5.2 | 4.6 | 4.2 |
| 8 | theoretical lorentzen cycle limit (co 2 pump), return fluid 25 °c, source 0 °c | none | 10.1 | 8.8 | 7.9 | 7.1 | 6.5 | 6.1 |
| 9 | theoretical carnot cycle limit, source 10 °c | none | 12.3 | 9.1 | 7.3 | 6.1 | 5.4 | 4.8 | | | | pump type and source |
|---:|:--------------------------------------------|
| 0 | theoretical carnot cycle limit, source 0 °c | | [
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select count ( start ) where engine = 'offy' col : year | chassis | engine | start | finish row 1 : 1974 | eagle | offy | 21st | 7th row 2 : 1975 | eagle | offy | 18th | 4th row 3 : 1976 | eagle | offy | 6th | 5th row 4 : 1977 | eagle | offy | 8th | 15th row 5 : 1978 | lighning | cosworth | 21st | 24th row 6 : 1979 | lighning | cosworth | 17th | 20th row 7 : 1980 | penske | cosworth | 8th | 6th row 8 : 1981 | penske | cosworth | 10th | 28th row 9 : 1982 | march | cosworth | 10th | 3rd row 10 : 1983 | march | cosworth | 14th | 7th row 11 : 1984 | march | cosworth | 21st | 19th row 12 : 1985 | march | buick | 1st | 33rd row 13 : 1986 | lola | cosworth | 14th | 16th row 14 : 1987 | march | cosworth | 29th | 27th row 15 : 1988 | march | buick | qualifying crash | none row 16 : 1989 | lola | cosworth | 32nd | 22nd row 17 : 1990 | lola | cosworth | 22nd | 29th row 18 : 1991 | lola | buick | 32nd | 21st row 19 : 1992 | lola | buick | failed to qualify | none row 20 : 1994 | lola | chevrolet | failed to qualify | none | col : count ( "start" ) row 1 : 4 | select count ( start ) where engine = 'offy' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & chassis & engine & start & finish \\
\midrule
0 & 1974 & eagle & offy & 21st & 7th \\
1 & 1975 & eagle & offy & 18th & 4th \\
2 & 1976 & eagle & offy & 6th & 5th \\
3 & 1977 & eagle & offy & 8th & 15th \\
4 & 1978 & lighning & cosworth & 21st & 24th \\
5 & 1979 & lighning & cosworth & 17th & 20th \\
6 & 1980 & penske & cosworth & 8th & 6th \\
7 & 1981 & penske & cosworth & 10th & 28th \\
8 & 1982 & march & cosworth & 10th & 3rd \\
9 & 1983 & march & cosworth & 14th & 7th \\
10 & 1984 & march & cosworth & 21st & 19th \\
11 & 1985 & march & buick & 1st & 33rd \\
12 & 1986 & lola & cosworth & 14th & 16th \\
13 & 1987 & march & cosworth & 29th & 27th \\
14 & 1988 & march & buick & qualifying crash & none \\
15 & 1989 & lola & cosworth & 32nd & 22nd \\
16 & 1990 & lola & cosworth & 22nd & 29th \\
17 & 1991 & lola & buick & 32nd & 21st \\
18 & 1992 & lola & buick & failed to qualify & none \\
19 & 1994 & lola & chevrolet & failed to qualify & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "start" ) \\
\midrule
0 & 4 \\
\bottomrule
\end{tabular}
| select count ( start ) where engine = 'offy' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>chassis</th>
<th>engine</th>
<th>start</th>
<th>finish</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1974</td>
<td>eagle</td>
<td>offy</td>
<td>21st</td>
<td>7th</td>
</tr>
<tr>
<th>1</th>
<td>1975</td>
<td>eagle</td>
<td>offy</td>
<td>18th</td>
<td>4th</td>
</tr>
<tr>
<th>2</th>
<td>1976</td>
<td>eagle</td>
<td>offy</td>
<td>6th</td>
<td>5th</td>
</tr>
<tr>
<th>3</th>
<td>1977</td>
<td>eagle</td>
<td>offy</td>
<td>8th</td>
<td>15th</td>
</tr>
<tr>
<th>4</th>
<td>1978</td>
<td>lighning</td>
<td>cosworth</td>
<td>21st</td>
<td>24th</td>
</tr>
<tr>
<th>5</th>
<td>1979</td>
<td>lighning</td>
<td>cosworth</td>
<td>17th</td>
<td>20th</td>
</tr>
<tr>
<th>6</th>
<td>1980</td>
<td>penske</td>
<td>cosworth</td>
<td>8th</td>
<td>6th</td>
</tr>
<tr>
<th>7</th>
<td>1981</td>
<td>penske</td>
<td>cosworth</td>
<td>10th</td>
<td>28th</td>
</tr>
<tr>
<th>8</th>
<td>1982</td>
<td>march</td>
<td>cosworth</td>
<td>10th</td>
<td>3rd</td>
</tr>
<tr>
<th>9</th>
<td>1983</td>
<td>march</td>
<td>cosworth</td>
<td>14th</td>
<td>7th</td>
</tr>
<tr>
<th>10</th>
<td>1984</td>
<td>march</td>
<td>cosworth</td>
<td>21st</td>
<td>19th</td>
</tr>
<tr>
<th>11</th>
<td>1985</td>
<td>march</td>
<td>buick</td>
<td>1st</td>
<td>33rd</td>
</tr>
<tr>
<th>12</th>
<td>1986</td>
<td>lola</td>
<td>cosworth</td>
<td>14th</td>
<td>16th</td>
</tr>
<tr>
<th>13</th>
<td>1987</td>
<td>march</td>
<td>cosworth</td>
<td>29th</td>
<td>27th</td>
</tr>
<tr>
<th>14</th>
<td>1988</td>
<td>march</td>
<td>buick</td>
<td>qualifying crash</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>1989</td>
<td>lola</td>
<td>cosworth</td>
<td>32nd</td>
<td>22nd</td>
</tr>
<tr>
<th>16</th>
<td>1990</td>
<td>lola</td>
<td>cosworth</td>
<td>22nd</td>
<td>29th</td>
</tr>
<tr>
<th>17</th>
<td>1991</td>
<td>lola</td>
<td>buick</td>
<td>32nd</td>
<td>21st</td>
</tr>
<tr>
<th>18</th>
<td>1992</td>
<td>lola</td>
<td>buick</td>
<td>failed to qualify</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>1994</td>
<td>lola</td>
<td>chevrolet</td>
<td>failed to qualify</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "start" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>4</td>
</tr>
</tbody>
</table> | select count ( start ) where engine = 'offy' <table_name> : table | | year | chassis | engine | start | finish |
|---:|-------:|:----------|:----------|:------------------|:---------|
| 0 | 1974 | eagle | offy | 21st | 7th |
| 1 | 1975 | eagle | offy | 18th | 4th |
| 2 | 1976 | eagle | offy | 6th | 5th |
| 3 | 1977 | eagle | offy | 8th | 15th |
| 4 | 1978 | lighning | cosworth | 21st | 24th |
| 5 | 1979 | lighning | cosworth | 17th | 20th |
| 6 | 1980 | penske | cosworth | 8th | 6th |
| 7 | 1981 | penske | cosworth | 10th | 28th |
| 8 | 1982 | march | cosworth | 10th | 3rd |
| 9 | 1983 | march | cosworth | 14th | 7th |
| 10 | 1984 | march | cosworth | 21st | 19th |
| 11 | 1985 | march | buick | 1st | 33rd |
| 12 | 1986 | lola | cosworth | 14th | 16th |
| 13 | 1987 | march | cosworth | 29th | 27th |
| 14 | 1988 | march | buick | qualifying crash | none |
| 15 | 1989 | lola | cosworth | 32nd | 22nd |
| 16 | 1990 | lola | cosworth | 22nd | 29th |
| 17 | 1991 | lola | buick | 32nd | 21st |
| 18 | 1992 | lola | buick | failed to qualify | none |
| 19 | 1994 | lola | chevrolet | failed to qualify | none | | | | count ( "start" ) |
|---:|--------------------:|
| 0 | 4 | | [
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select competition where year < 2009 order by year desc limit 1 col : year | competition | venue | position | notes row 1 : 2005 | european u23 championships | erfurt, germany | 7th | 72.81 m row 2 : 2008 | olympic games | beijing, china | 8th | 82.06 m (=pb) row 3 : 2009 | universiade | belgrade, serbia | 5th | 78.29 m row 4 : 2010 | european championships | barcelona, spain | 14th (q) | 76.29 m row 5 : 2012 | olympic games | london, united kingdom | 15th (q) | 80.06 m row 6 : 2013 | world championships | moscow, russia | 32nd (q) | 72.66 m | col : competition row 1 : european u23 championships row 2 : olympic games row 3 : universiade | select competition where year < 2009 order by year desc limit 1 <table_name> : table \begin{tabular}{llllll}
\toprule
& year & competition & venue & position & notes \\
\midrule
0 & 2005 & european u23 championships & erfurt, germany & 7th & 72.81 m \\
1 & 2008 & olympic games & beijing, china & 8th & 82.06 m (=pb) \\
2 & 2009 & universiade & belgrade, serbia & 5th & 78.29 m \\
3 & 2010 & european championships & barcelona, spain & 14th (q) & 76.29 m \\
4 & 2012 & olympic games & london, united kingdom & 15th (q) & 80.06 m \\
5 & 2013 & world championships & moscow, russia & 32nd (q) & 72.66 m \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& competition \\
\midrule
0 & european u23 championships \\
1 & olympic games \\
2 & universiade \\
\bottomrule
\end{tabular}
| select competition where year < 2009 order by year desc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>competition</th>
<th>venue</th>
<th>position</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2005</td>
<td>european u23 championships</td>
<td>erfurt, germany</td>
<td>7th</td>
<td>72.81 m</td>
</tr>
<tr>
<th>1</th>
<td>2008</td>
<td>olympic games</td>
<td>beijing, china</td>
<td>8th</td>
<td>82.06 m (=pb)</td>
</tr>
<tr>
<th>2</th>
<td>2009</td>
<td>universiade</td>
<td>belgrade, serbia</td>
<td>5th</td>
<td>78.29 m</td>
</tr>
<tr>
<th>3</th>
<td>2010</td>
<td>european championships</td>
<td>barcelona, spain</td>
<td>14th (q)</td>
<td>76.29 m</td>
</tr>
<tr>
<th>4</th>
<td>2012</td>
<td>olympic games</td>
<td>london, united kingdom</td>
<td>15th (q)</td>
<td>80.06 m</td>
</tr>
<tr>
<th>5</th>
<td>2013</td>
<td>world championships</td>
<td>moscow, russia</td>
<td>32nd (q)</td>
<td>72.66 m</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>competition</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>european u23 championships</td>
</tr>
<tr>
<th>1</th>
<td>olympic games</td>
</tr>
<tr>
<th>2</th>
<td>universiade</td>
</tr>
</tbody>
</table> | select competition where year < 2009 order by year desc limit 1 <table_name> : table | | year | competition | venue | position | notes |
|---:|-------:|:---------------------------|:-----------------------|:-----------|:--------------|
| 0 | 2005 | european u23 championships | erfurt, germany | 7th | 72.81 m |
| 1 | 2008 | olympic games | beijing, china | 8th | 82.06 m (=pb) |
| 2 | 2009 | universiade | belgrade, serbia | 5th | 78.29 m |
| 3 | 2010 | european championships | barcelona, spain | 14th (q) | 76.29 m |
| 4 | 2012 | olympic games | london, united kingdom | 15th (q) | 80.06 m |
| 5 | 2013 | world championships | moscow, russia | 32nd (q) | 72.66 m | | | | competition |
|---:|:---------------------------|
| 0 | european u23 championships |
| 1 | olympic games |
| 2 | universiade | | [
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] |
select count ( nation ) where nation = 'spain' and total <= 6 col : rank | nation | gold | silver | bronze | total row 1 : 1 | france | 14 | 7 | 7 | 28 row 2 : 2 | italy | 12 | 8 | 10 | 30 row 3 : 3 | slovenia | 5 | 4 | 3 | 12 row 4 : 4 | spain | 4 | 14 | 6 | 24 row 5 : 5 | greece | 3 | 4 | 9 | 16 row 6 : 6 | tunisia | 3 | 0 | 0 | 3 row 7 : 7 | algeria | 2 | 0 | 2 | 4 row 8 : 8 | croatia | 0 | 3 | 3 | 6 row 9 : 9 | egypt | 0 | 1 | 2 | 3 row 10 : total | total | 43 | 41 | 42 | 126 | col : count ( "nation" ) row 1 : 1 | select count ( nation ) where nation = 'spain' and total <= 6 <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & france & 14 & 7 & 7 & 28 \\
1 & 2 & italy & 12 & 8 & 10 & 30 \\
2 & 3 & slovenia & 5 & 4 & 3 & 12 \\
3 & 4 & spain & 4 & 14 & 6 & 24 \\
4 & 5 & greece & 3 & 4 & 9 & 16 \\
5 & 6 & tunisia & 3 & 0 & 0 & 3 \\
6 & 7 & algeria & 2 & 0 & 2 & 4 \\
7 & 8 & croatia & 0 & 3 & 3 & 6 \\
8 & 9 & egypt & 0 & 1 & 2 & 3 \\
9 & total & total & 43 & 41 & 42 & 126 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "nation" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( nation ) where nation = 'spain' and total <= 6 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>nation</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>france</td>
<td>14</td>
<td>7</td>
<td>7</td>
<td>28</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>italy</td>
<td>12</td>
<td>8</td>
<td>10</td>
<td>30</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>slovenia</td>
<td>5</td>
<td>4</td>
<td>3</td>
<td>12</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>spain</td>
<td>4</td>
<td>14</td>
<td>6</td>
<td>24</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>greece</td>
<td>3</td>
<td>4</td>
<td>9</td>
<td>16</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>tunisia</td>
<td>3</td>
<td>0</td>
<td>0</td>
<td>3</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>algeria</td>
<td>2</td>
<td>0</td>
<td>2</td>
<td>4</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>croatia</td>
<td>0</td>
<td>3</td>
<td>3</td>
<td>6</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>egypt</td>
<td>0</td>
<td>1</td>
<td>2</td>
<td>3</td>
</tr>
<tr>
<th>9</th>
<td>total</td>
<td>total</td>
<td>43</td>
<td>41</td>
<td>42</td>
<td>126</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "nation" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( nation ) where nation = 'spain' and total <= 6 <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|:-------|:---------|-------:|---------:|---------:|--------:|
| 0 | 1 | france | 14 | 7 | 7 | 28 |
| 1 | 2 | italy | 12 | 8 | 10 | 30 |
| 2 | 3 | slovenia | 5 | 4 | 3 | 12 |
| 3 | 4 | spain | 4 | 14 | 6 | 24 |
| 4 | 5 | greece | 3 | 4 | 9 | 16 |
| 5 | 6 | tunisia | 3 | 0 | 0 | 3 |
| 6 | 7 | algeria | 2 | 0 | 2 | 4 |
| 7 | 8 | croatia | 0 | 3 | 3 | 6 |
| 8 | 9 | egypt | 0 | 1 | 2 | 3 |
| 9 | total | total | 43 | 41 | 42 | 126 | | | | count ( "nation" ) |
|---:|---------------------:|
| 0 | 1 | | [
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select divisions where prize (eur) > 1260 order by odds of winning (1 in) desc limit 1 col : divisions | prize (eur) | odds of winning (1 in) | number of winning tickets | in order to win row 1 : all | 45000 | 3.54 | 565 | any prize row 2 : 1st | 18000 | 2000.0 | 1 | match all 5 in order row 3 : 2nd | 750 | 2000.0 | 1 | match all 5 in order row 4 : 3rd | 600 | 2000.0 | 1 | match all 5 in order row 5 : 4th | 450 | 2000.0 | 1 | match all 5 in order row 6 : 5th | 300 | 2000.0 | 1 | match all 5 in order row 7 : 6th | 135 | 2000.0 | 1 | match all 5 in order row 8 : sub | 180 | 2000.0 | 2 | nearest number to 1st prize row 9 : sub | 180 | 2000.0 | 2 | nearest number to 2nd prize row 10 : sub | 180 | 2000.0 | 2 | nearest number to 3rd prize row 11 : sub | 17820 | 20.2 | 297 | first 3 digits of 1st, 2nd & 3rd row 12 : sub | 3420 | 105.3 | 57 | last 2 digits of 1st, 2nd & 3rd row 13 : sub | 2985 | 10.1 | 199 | last 1 digit of 1st | col : divisions row 1 : all row 2 : 1st row 3 : 2nd row 4 : 3rd row 5 : 4th row 6 : 5th row 7 : 6th row 8 : sub row 9 : sub row 10 : sub row 11 : sub row 12 : sub row 13 : sub | select divisions where prize (eur) > 1260 order by odds of winning (1 in) desc limit 1 <table_name> : table \begin{tabular}{llllll}
\toprule
& divisions & prize (eur) & odds of winning (1 in) & number of winning tickets & in order to win \\
\midrule
0 & all & 45000 & 3.54 & 565 & any prize \\
1 & 1st & 18000 & 2000.0 & 1 & match all 5 in order \\
2 & 2nd & 750 & 2000.0 & 1 & match all 5 in order \\
3 & 3rd & 600 & 2000.0 & 1 & match all 5 in order \\
4 & 4th & 450 & 2000.0 & 1 & match all 5 in order \\
5 & 5th & 300 & 2000.0 & 1 & match all 5 in order \\
6 & 6th & 135 & 2000.0 & 1 & match all 5 in order \\
7 & sub & 180 & 2000.0 & 2 & nearest number to 1st prize \\
8 & sub & 180 & 2000.0 & 2 & nearest number to 2nd prize \\
9 & sub & 180 & 2000.0 & 2 & nearest number to 3rd prize \\
10 & sub & 17820 & 20.2 & 297 & first 3 digits of 1st, 2nd & 3rd \\
11 & sub & 3420 & 105.3 & 57 & last 2 digits of 1st, 2nd & 3rd \\
12 & sub & 2985 & 10.1 & 199 & last 1 digit of 1st \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& divisions \\
\midrule
0 & all \\
1 & 1st \\
2 & 2nd \\
3 & 3rd \\
4 & 4th \\
5 & 5th \\
6 & 6th \\
7 & sub \\
8 & sub \\
9 & sub \\
10 & sub \\
11 & sub \\
12 & sub \\
\bottomrule
\end{tabular}
| select divisions where prize (eur) > 1260 order by odds of winning (1 in) desc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>divisions</th>
<th>prize (eur)</th>
<th>odds of winning (1 in)</th>
<th>number of winning tickets</th>
<th>in order to win</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>all</td>
<td>45000</td>
<td>3.54</td>
<td>565</td>
<td>any prize</td>
</tr>
<tr>
<th>1</th>
<td>1st</td>
<td>18000</td>
<td>2000.0</td>
<td>1</td>
<td>match all 5 in order</td>
</tr>
<tr>
<th>2</th>
<td>2nd</td>
<td>750</td>
<td>2000.0</td>
<td>1</td>
<td>match all 5 in order</td>
</tr>
<tr>
<th>3</th>
<td>3rd</td>
<td>600</td>
<td>2000.0</td>
<td>1</td>
<td>match all 5 in order</td>
</tr>
<tr>
<th>4</th>
<td>4th</td>
<td>450</td>
<td>2000.0</td>
<td>1</td>
<td>match all 5 in order</td>
</tr>
<tr>
<th>5</th>
<td>5th</td>
<td>300</td>
<td>2000.0</td>
<td>1</td>
<td>match all 5 in order</td>
</tr>
<tr>
<th>6</th>
<td>6th</td>
<td>135</td>
<td>2000.0</td>
<td>1</td>
<td>match all 5 in order</td>
</tr>
<tr>
<th>7</th>
<td>sub</td>
<td>180</td>
<td>2000.0</td>
<td>2</td>
<td>nearest number to 1st prize</td>
</tr>
<tr>
<th>8</th>
<td>sub</td>
<td>180</td>
<td>2000.0</td>
<td>2</td>
<td>nearest number to 2nd prize</td>
</tr>
<tr>
<th>9</th>
<td>sub</td>
<td>180</td>
<td>2000.0</td>
<td>2</td>
<td>nearest number to 3rd prize</td>
</tr>
<tr>
<th>10</th>
<td>sub</td>
<td>17820</td>
<td>20.2</td>
<td>297</td>
<td>first 3 digits of 1st, 2nd & 3rd</td>
</tr>
<tr>
<th>11</th>
<td>sub</td>
<td>3420</td>
<td>105.3</td>
<td>57</td>
<td>last 2 digits of 1st, 2nd & 3rd</td>
</tr>
<tr>
<th>12</th>
<td>sub</td>
<td>2985</td>
<td>10.1</td>
<td>199</td>
<td>last 1 digit of 1st</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>divisions</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>all</td>
</tr>
<tr>
<th>1</th>
<td>1st</td>
</tr>
<tr>
<th>2</th>
<td>2nd</td>
</tr>
<tr>
<th>3</th>
<td>3rd</td>
</tr>
<tr>
<th>4</th>
<td>4th</td>
</tr>
<tr>
<th>5</th>
<td>5th</td>
</tr>
<tr>
<th>6</th>
<td>6th</td>
</tr>
<tr>
<th>7</th>
<td>sub</td>
</tr>
<tr>
<th>8</th>
<td>sub</td>
</tr>
<tr>
<th>9</th>
<td>sub</td>
</tr>
<tr>
<th>10</th>
<td>sub</td>
</tr>
<tr>
<th>11</th>
<td>sub</td>
</tr>
<tr>
<th>12</th>
<td>sub</td>
</tr>
</tbody>
</table> | select divisions where prize (eur) > 1260 order by odds of winning (1 in) desc limit 1 <table_name> : table | | divisions | prize (eur) | odds of winning (1 in) | number of winning tickets | in order to win |
|---:|:------------|--------------:|-------------------------:|----------------------------:|:---------------------------------|
| 0 | all | 45000 | 3.54 | 565 | any prize |
| 1 | 1st | 18000 | 2000 | 1 | match all 5 in order |
| 2 | 2nd | 750 | 2000 | 1 | match all 5 in order |
| 3 | 3rd | 600 | 2000 | 1 | match all 5 in order |
| 4 | 4th | 450 | 2000 | 1 | match all 5 in order |
| 5 | 5th | 300 | 2000 | 1 | match all 5 in order |
| 6 | 6th | 135 | 2000 | 1 | match all 5 in order |
| 7 | sub | 180 | 2000 | 2 | nearest number to 1st prize |
| 8 | sub | 180 | 2000 | 2 | nearest number to 2nd prize |
| 9 | sub | 180 | 2000 | 2 | nearest number to 3rd prize |
| 10 | sub | 17820 | 20.2 | 297 | first 3 digits of 1st, 2nd & 3rd |
| 11 | sub | 3420 | 105.3 | 57 | last 2 digits of 1st, 2nd & 3rd |
| 12 | sub | 2985 | 10.1 | 199 | last 1 digit of 1st | | | | divisions |
|---:|:------------|
| 0 | all |
| 1 | 1st |
| 2 | 2nd |
| 3 | 3rd |
| 4 | 4th |
| 5 | 5th |
| 6 | 6th |
| 7 | sub |
| 8 | sub |
| 9 | sub |
| 10 | sub |
| 11 | sub |
| 12 | sub | | [
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select abs ( position - position ) where name = 'adam reach' col : place | position | number | name | league one | fa cup | league cup | football league trophy | total row 1 : 1 | mf | 4 | luke summerfield | 5 | 0 | 0 | 0 | 5 row 2 : 2 | mf | 17 | paul parry | 3 | 0 | 1 | 0 | 4 row 3 : 3 | fw | 24 | tom eaves | 3 | 0 | 0 | 0 | 3 row 4 : 4 | mf | 11 | jon taylor | 1 | 0 | 0 | 1 | 2 row 5 : 4 | df | 5 | darren jones | 2 | 0 | 0 | 0 | 2 row 6 : 4 | mf | 23 | adam reach | 2 | 0 | 0 | 0 | 2 row 7 : 4 | mf | 22 | ryan woods | 2 | 0 | 0 | 0 | 2 row 8 : 4 | fw | 26 | curtis main | 2 | 0 | 0 | 0 | 2 row 9 : 5 | mf | 2 | jermaine grandison | 1 | 0 | 0 | 0 | 1 row 10 : 5 | mf | 8 | dave mcallister | 1 | 0 | 0 | 0 | 1 row 11 : 5 | fw | 15 | aaron wildig | 1 | 0 | 0 | 0 | 1 row 12 : 5 | fw | 29 | asa hall | 1 | 0 | 0 | 0 | 1 row 13 : 5 | fw | 7 | gozie ugwu | 1 | 0 | 0 | 0 | 1 row 14 : 5 | df | 18 | connor goldson | 1 | 0 | 0 | 0 | 1 row 15 : 5 | mf | 10 | nicky wroe | 1 | 0 | 0 | 0 | 1 row 16 : 5 | fw | 9 | tom bradshaw | 1 | 0 | 0 | 0 | 1 | col : "abs ( position - position )" row 1 : abs ( position - position ) | select abs ( position - position ) where name = 'adam reach' <table_name> : table \begin{tabular}{llllllllll}
\toprule
& place & position & number & name & league one & fa cup & league cup & football league trophy & total \\
\midrule
0 & 1 & mf & 4 & luke summerfield & 5 & 0 & 0 & 0 & 5 \\
1 & 2 & mf & 17 & paul parry & 3 & 0 & 1 & 0 & 4 \\
2 & 3 & fw & 24 & tom eaves & 3 & 0 & 0 & 0 & 3 \\
3 & 4 & mf & 11 & jon taylor & 1 & 0 & 0 & 1 & 2 \\
4 & 4 & df & 5 & darren jones & 2 & 0 & 0 & 0 & 2 \\
5 & 4 & mf & 23 & adam reach & 2 & 0 & 0 & 0 & 2 \\
6 & 4 & mf & 22 & ryan woods & 2 & 0 & 0 & 0 & 2 \\
7 & 4 & fw & 26 & curtis main & 2 & 0 & 0 & 0 & 2 \\
8 & 5 & mf & 2 & jermaine grandison & 1 & 0 & 0 & 0 & 1 \\
9 & 5 & mf & 8 & dave mcallister & 1 & 0 & 0 & 0 & 1 \\
10 & 5 & fw & 15 & aaron wildig & 1 & 0 & 0 & 0 & 1 \\
11 & 5 & fw & 29 & asa hall & 1 & 0 & 0 & 0 & 1 \\
12 & 5 & fw & 7 & gozie ugwu & 1 & 0 & 0 & 0 & 1 \\
13 & 5 & df & 18 & connor goldson & 1 & 0 & 0 & 0 & 1 \\
14 & 5 & mf & 10 & nicky wroe & 1 & 0 & 0 & 0 & 1 \\
15 & 5 & fw & 9 & tom bradshaw & 1 & 0 & 0 & 0 & 1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "abs ( position - position )" \\
\midrule
0 & abs ( position - position ) \\
\bottomrule
\end{tabular}
| select abs ( position - position ) where name = 'adam reach' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>place</th>
<th>position</th>
<th>number</th>
<th>name</th>
<th>league one</th>
<th>fa cup</th>
<th>league cup</th>
<th>football league trophy</th>
<th>total</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>mf</td>
<td>4</td>
<td>luke summerfield</td>
<td>5</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>5</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>mf</td>
<td>17</td>
<td>paul parry</td>
<td>3</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>4</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>fw</td>
<td>24</td>
<td>tom eaves</td>
<td>3</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>3</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>mf</td>
<td>11</td>
<td>jon taylor</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>4</th>
<td>4</td>
<td>df</td>
<td>5</td>
<td>darren jones</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>5</th>
<td>4</td>
<td>mf</td>
<td>23</td>
<td>adam reach</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>6</th>
<td>4</td>
<td>mf</td>
<td>22</td>
<td>ryan woods</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>7</th>
<td>4</td>
<td>fw</td>
<td>26</td>
<td>curtis main</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>8</th>
<td>5</td>
<td>mf</td>
<td>2</td>
<td>jermaine grandison</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>9</th>
<td>5</td>
<td>mf</td>
<td>8</td>
<td>dave mcallister</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>10</th>
<td>5</td>
<td>fw</td>
<td>15</td>
<td>aaron wildig</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>11</th>
<td>5</td>
<td>fw</td>
<td>29</td>
<td>asa hall</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>5</td>
<td>fw</td>
<td>7</td>
<td>gozie ugwu</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>13</th>
<td>5</td>
<td>df</td>
<td>18</td>
<td>connor goldson</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>14</th>
<td>5</td>
<td>mf</td>
<td>10</td>
<td>nicky wroe</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>15</th>
<td>5</td>
<td>fw</td>
<td>9</td>
<td>tom bradshaw</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"abs ( position - position )"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>abs ( position - position )</td>
</tr>
</tbody>
</table> | select abs ( position - position ) where name = 'adam reach' <table_name> : table | | place | position | number | name | league one | fa cup | league cup | football league trophy | total |
|---:|--------:|:-----------|---------:|:-------------------|-------------:|---------:|-------------:|-------------------------:|--------:|
| 0 | 1 | mf | 4 | luke summerfield | 5 | 0 | 0 | 0 | 5 |
| 1 | 2 | mf | 17 | paul parry | 3 | 0 | 1 | 0 | 4 |
| 2 | 3 | fw | 24 | tom eaves | 3 | 0 | 0 | 0 | 3 |
| 3 | 4 | mf | 11 | jon taylor | 1 | 0 | 0 | 1 | 2 |
| 4 | 4 | df | 5 | darren jones | 2 | 0 | 0 | 0 | 2 |
| 5 | 4 | mf | 23 | adam reach | 2 | 0 | 0 | 0 | 2 |
| 6 | 4 | mf | 22 | ryan woods | 2 | 0 | 0 | 0 | 2 |
| 7 | 4 | fw | 26 | curtis main | 2 | 0 | 0 | 0 | 2 |
| 8 | 5 | mf | 2 | jermaine grandison | 1 | 0 | 0 | 0 | 1 |
| 9 | 5 | mf | 8 | dave mcallister | 1 | 0 | 0 | 0 | 1 |
| 10 | 5 | fw | 15 | aaron wildig | 1 | 0 | 0 | 0 | 1 |
| 11 | 5 | fw | 29 | asa hall | 1 | 0 | 0 | 0 | 1 |
| 12 | 5 | fw | 7 | gozie ugwu | 1 | 0 | 0 | 0 | 1 |
| 13 | 5 | df | 18 | connor goldson | 1 | 0 | 0 | 0 | 1 |
| 14 | 5 | mf | 10 | nicky wroe | 1 | 0 | 0 | 0 | 1 |
| 15 | 5 | fw | 9 | tom bradshaw | 1 | 0 | 0 | 0 | 1 | | | | "abs ( position - position )" |
|---:|:--------------------------------|
| 0 | abs ( position - position ) | | [
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select highest seller where highest seller = 'eric' order by episode asc limit 400 col : episode | name | synopsis | sent home | highest seller row 1 : 1 | vegas meltdown | nine aspiring restaurateurs arrive in las vegas, where they meet chef robert irvine and the restaurant express bus. in order to secure one of the eight spots on board, they must first pitch their dream restaurant concept to robert: those with the best concepts head into lake las vegas for the first challenge. they'll have to create a restaurant from the ground up with just $500 and six hours to feed 250 hungry guests! the bottom three earners will be up for elimination | ammerah, kimmy | patrick row 2 : 2 | tantrum in temecula | the restaurant express bus arrives in temecula, calif., a small, upscale town with lots of restaurants. the contestants' market knowledge is tested when they must propose to robert and the mayor a new restaurant that they think could be successful in the town. the winner of the mini challenge will get extra money for the main challenge, where they will test their restaurant ideas on the locals at a lunch fair. the bottom three earners will be up for elimination | johnathan | eric row 3 : 3 | express: impossible | the restaurant express bus arrives in los angeles, where the contestants face their first group challenge. inspired by restaurant: impossible, the teams will be given 24 hours and $5,000 to revitalize two struggling restaurants. robert and two visiting critics will dine at each location to determine who won this round, and who will be off the bus | bianca | none row 4 : 4 | battle by the beach | the restaurant express bus arrives at the iconic balboa pier in newport beach, calif. the remaining five contestants will each have to open a concession stand with the same three dishes; a burger, a dessert and something on a stick. they also must produce a commercial for their stand. the contestant with the best commercial gets to have their ad play on the pier, but will that marketing advantage be enough to draw the most customers? | patrick | eric row 5 : 5 | going, going, gone! | the remaining four contestants are given their biggest budget challenge: create a supper club with $1,000 and an empty restaurant shell. they first attend an auction with items that could be a big benefit during dinner service, challenging them to spend wisely for an advantage, with enough money left over for food and supplies | eric | adam row 6 : 6 | the truck stops here! | the three remaining chefs are each given a food truck and are challenged on their ability to serve specific groups of diners at three iconic locations: a zoo, an upscale shopping center and a late night bar scene. the winner gets a big advantage heading into the final challenge | none | adam row 7 : 7 | vegas or bust | jan and seonkyoung battle to see who would face adam in the final challenge. seonkyoung won, therefore advancing herself to the final challenge. the two finalists then competed head-to-head against each other in the same restaurant. in the end, seonkyoung beat adam and she won a restaurant in the m, named jade | jan, adam | seonkyoung | col : highest seller row 1 : eric row 2 : eric | select highest seller where highest seller = 'eric' order by episode asc limit 400 <table_name> : table \begin{tabular}{llllll}
\toprule
& episode & name & synopsis & sent home & highest seller \\
\midrule
0 & 1 & vegas meltdown & nine aspiring restaurateurs arrive in las vegas, where they meet chef robert irvine and the restaurant express bus. in order to secure one of the eight spots on board, they must first pitch their dream restaurant concept to robert: those with the best concepts head into lake las vegas for the first challenge. they'll have to create a restaurant from the ground up with just $500 and six hours to feed 250 hungry guests! the bottom three earners will be up for elimination & ammerah, kimmy & patrick \\
1 & 2 & tantrum in temecula & the restaurant express bus arrives in temecula, calif., a small, upscale town with lots of restaurants. the contestants' market knowledge is tested when they must propose to robert and the mayor a new restaurant that they think could be successful in the town. the winner of the mini challenge will get extra money for the main challenge, where they will test their restaurant ideas on the locals at a lunch fair. the bottom three earners will be up for elimination & johnathan & eric \\
2 & 3 & express: impossible & the restaurant express bus arrives in los angeles, where the contestants face their first group challenge. inspired by restaurant: impossible, the teams will be given 24 hours and $5,000 to revitalize two struggling restaurants. robert and two visiting critics will dine at each location to determine who won this round, and who will be off the bus & bianca & none \\
3 & 4 & battle by the beach & the restaurant express bus arrives at the iconic balboa pier in newport beach, calif. the remaining five contestants will each have to open a concession stand with the same three dishes; a burger, a dessert and something on a stick. they also must produce a commercial for their stand. the contestant with the best commercial gets to have their ad play on the pier, but will that marketing advantage be enough to draw the most customers? & patrick & eric \\
4 & 5 & going, going, gone! & the remaining four contestants are given their biggest budget challenge: create a supper club with $1,000 and an empty restaurant shell. they first attend an auction with items that could be a big benefit during dinner service, challenging them to spend wisely for an advantage, with enough money left over for food and supplies & eric & adam \\
5 & 6 & the truck stops here! & the three remaining chefs are each given a food truck and are challenged on their ability to serve specific groups of diners at three iconic locations: a zoo, an upscale shopping center and a late night bar scene. the winner gets a big advantage heading into the final challenge & none & adam \\
6 & 7 & vegas or bust & jan and seonkyoung battle to see who would face adam in the final challenge. seonkyoung won, therefore advancing herself to the final challenge. the two finalists then competed head-to-head against each other in the same restaurant. in the end, seonkyoung beat adam and she won a restaurant in the m, named jade & jan, adam & seonkyoung \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& highest seller \\
\midrule
0 & eric \\
1 & eric \\
\bottomrule
\end{tabular}
| select highest seller where highest seller = 'eric' order by episode asc limit 400 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>episode</th>
<th>name</th>
<th>synopsis</th>
<th>sent home</th>
<th>highest seller</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>vegas meltdown</td>
<td>nine aspiring restaurateurs arrive in las vegas, where they meet chef robert irvine and the restaurant express bus. in order to secure one of the eight spots on board, they must first pitch their dream restaurant concept to robert: those with the best concepts head into lake las vegas for the first challenge. they'll have to create a restaurant from the ground up with just $500 and six hours to feed 250 hungry guests! the bottom three earners will be up for elimination</td>
<td>ammerah, kimmy</td>
<td>patrick</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>tantrum in temecula</td>
<td>the restaurant express bus arrives in temecula, calif., a small, upscale town with lots of restaurants. the contestants' market knowledge is tested when they must propose to robert and the mayor a new restaurant that they think could be successful in the town. the winner of the mini challenge will get extra money for the main challenge, where they will test their restaurant ideas on the locals at a lunch fair. the bottom three earners will be up for elimination</td>
<td>johnathan</td>
<td>eric</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>express: impossible</td>
<td>the restaurant express bus arrives in los angeles, where the contestants face their first group challenge. inspired by restaurant: impossible, the teams will be given 24 hours and $5,000 to revitalize two struggling restaurants. robert and two visiting critics will dine at each location to determine who won this round, and who will be off the bus</td>
<td>bianca</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>battle by the beach</td>
<td>the restaurant express bus arrives at the iconic balboa pier in newport beach, calif. the remaining five contestants will each have to open a concession stand with the same three dishes; a burger, a dessert and something on a stick. they also must produce a commercial for their stand. the contestant with the best commercial gets to have their ad play on the pier, but will that marketing advantage be enough to draw the most customers?</td>
<td>patrick</td>
<td>eric</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>going, going, gone!</td>
<td>the remaining four contestants are given their biggest budget challenge: create a supper club with $1,000 and an empty restaurant shell. they first attend an auction with items that could be a big benefit during dinner service, challenging them to spend wisely for an advantage, with enough money left over for food and supplies</td>
<td>eric</td>
<td>adam</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>the truck stops here!</td>
<td>the three remaining chefs are each given a food truck and are challenged on their ability to serve specific groups of diners at three iconic locations: a zoo, an upscale shopping center and a late night bar scene. the winner gets a big advantage heading into the final challenge</td>
<td>none</td>
<td>adam</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>vegas or bust</td>
<td>jan and seonkyoung battle to see who would face adam in the final challenge. seonkyoung won, therefore advancing herself to the final challenge. the two finalists then competed head-to-head against each other in the same restaurant. in the end, seonkyoung beat adam and she won a restaurant in the m, named jade</td>
<td>jan, adam</td>
<td>seonkyoung</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>highest seller</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>eric</td>
</tr>
<tr>
<th>1</th>
<td>eric</td>
</tr>
</tbody>
</table> | select highest seller where highest seller = 'eric' order by episode asc limit 400 <table_name> : table | | episode | name | synopsis | sent home | highest seller |
|---:|----------:|:----------------------|:------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|:---------------|:-----------------|
| 0 | 1 | vegas meltdown | nine aspiring restaurateurs arrive in las vegas, where they meet chef robert irvine and the restaurant express bus. in order to secure one of the eight spots on board, they must first pitch their dream restaurant concept to robert: those with the best concepts head into lake las vegas for the first challenge. they'll have to create a restaurant from the ground up with just $500 and six hours to feed 250 hungry guests! the bottom three earners will be up for elimination | ammerah, kimmy | patrick |
| 1 | 2 | tantrum in temecula | the restaurant express bus arrives in temecula, calif., a small, upscale town with lots of restaurants. the contestants' market knowledge is tested when they must propose to robert and the mayor a new restaurant that they think could be successful in the town. the winner of the mini challenge will get extra money for the main challenge, where they will test their restaurant ideas on the locals at a lunch fair. the bottom three earners will be up for elimination | johnathan | eric |
| 2 | 3 | express: impossible | the restaurant express bus arrives in los angeles, where the contestants face their first group challenge. inspired by restaurant: impossible, the teams will be given 24 hours and $5,000 to revitalize two struggling restaurants. robert and two visiting critics will dine at each location to determine who won this round, and who will be off the bus | bianca | none |
| 3 | 4 | battle by the beach | the restaurant express bus arrives at the iconic balboa pier in newport beach, calif. the remaining five contestants will each have to open a concession stand with the same three dishes; a burger, a dessert and something on a stick. they also must produce a commercial for their stand. the contestant with the best commercial gets to have their ad play on the pier, but will that marketing advantage be enough to draw the most customers? | patrick | eric |
| 4 | 5 | going, going, gone! | the remaining four contestants are given their biggest budget challenge: create a supper club with $1,000 and an empty restaurant shell. they first attend an auction with items that could be a big benefit during dinner service, challenging them to spend wisely for an advantage, with enough money left over for food and supplies | eric | adam |
| 5 | 6 | the truck stops here! | the three remaining chefs are each given a food truck and are challenged on their ability to serve specific groups of diners at three iconic locations: a zoo, an upscale shopping center and a late night bar scene. the winner gets a big advantage heading into the final challenge | none | adam |
| 6 | 7 | vegas or bust | jan and seonkyoung battle to see who would face adam in the final challenge. seonkyoung won, therefore advancing herself to the final challenge. the two finalists then competed head-to-head against each other in the same restaurant. in the end, seonkyoung beat adam and she won a restaurant in the m, named jade | jan, adam | seonkyoung | | | | highest seller |
|---:|:-----------------|
| 0 | eric |
| 1 | eric | | [
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select country where country = 'world' col : rank | country | box office | year | box office from national films row 1 : 1 | canada/united states | $10.8 billion | 2012 | none row 2 : 2 | china | $3.6 billion | 2013 | 59% (2013) row 3 : 3 | japan | $1.88 billion | 2013 | 61% (2013) row 4 : 4 | united kingdom | $1.7 billion | 2012 | 36.1% (2011) row 5 : 5 | france | $1.7 billion | 2012 | 33.3% (2013) row 6 : 6 | south korea | $1.47 billion | 2013 | 59.7% (2013) row 7 : 7 | india | $1.4 billion | 2012 | none row 8 : 8 | germany | $1.3 billion | 2012 | none row 9 : 9 | russia | $1.2 billion | 2012 | none row 10 : 10 | australia | $1.2 billion | 2012 | 4.1% (2011) row 11 : 11 | italy | $0.84 billion | 2013 | 30% (2013) row 12 : 12 | brazil | $0.72 billion | 2013 | 17% (2013) row 13 : none | world | $34.7 billion | 2012 | none | col : count ( "country" ) row 1 : 1 | select country where country = 'world' <table_name> : table \begin{tabular}{llllll}
\toprule
& rank & country & box office & year & box office from national films \\
\midrule
0 & 1 & canada/united states & $10.8 billion & 2012 & none \\
1 & 2 & china & $3.6 billion & 2013 & 59% (2013) \\
2 & 3 & japan & $1.88 billion & 2013 & 61% (2013) \\
3 & 4 & united kingdom & $1.7 billion & 2012 & 36.1% (2011) \\
4 & 5 & france & $1.7 billion & 2012 & 33.3% (2013) \\
5 & 6 & south korea & $1.47 billion & 2013 & 59.7% (2013) \\
6 & 7 & india & $1.4 billion & 2012 & none \\
7 & 8 & germany & $1.3 billion & 2012 & none \\
8 & 9 & russia & $1.2 billion & 2012 & none \\
9 & 10 & australia & $1.2 billion & 2012 & 4.1% (2011) \\
10 & 11 & italy & $0.84 billion & 2013 & 30% (2013) \\
11 & 12 & brazil & $0.72 billion & 2013 & 17% (2013) \\
12 & none & world & $34.7 billion & 2012 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "country" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select country where country = 'world' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>country</th>
<th>box office</th>
<th>year</th>
<th>box office from national films</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>canada/united states</td>
<td>$10.8 billion</td>
<td>2012</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>china</td>
<td>$3.6 billion</td>
<td>2013</td>
<td>59% (2013)</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>japan</td>
<td>$1.88 billion</td>
<td>2013</td>
<td>61% (2013)</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>united kingdom</td>
<td>$1.7 billion</td>
<td>2012</td>
<td>36.1% (2011)</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>france</td>
<td>$1.7 billion</td>
<td>2012</td>
<td>33.3% (2013)</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>south korea</td>
<td>$1.47 billion</td>
<td>2013</td>
<td>59.7% (2013)</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>india</td>
<td>$1.4 billion</td>
<td>2012</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>germany</td>
<td>$1.3 billion</td>
<td>2012</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>russia</td>
<td>$1.2 billion</td>
<td>2012</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>australia</td>
<td>$1.2 billion</td>
<td>2012</td>
<td>4.1% (2011)</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>italy</td>
<td>$0.84 billion</td>
<td>2013</td>
<td>30% (2013)</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>brazil</td>
<td>$0.72 billion</td>
<td>2013</td>
<td>17% (2013)</td>
</tr>
<tr>
<th>12</th>
<td>none</td>
<td>world</td>
<td>$34.7 billion</td>
<td>2012</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "country" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select country where country = 'world' <table_name> : table | | rank | country | box office | year | box office from national films |
|---:|:-------|:---------------------|:--------------|-------:|:---------------------------------|
| 0 | 1 | canada/united states | $10.8 billion | 2012 | none |
| 1 | 2 | china | $3.6 billion | 2013 | 59% (2013) |
| 2 | 3 | japan | $1.88 billion | 2013 | 61% (2013) |
| 3 | 4 | united kingdom | $1.7 billion | 2012 | 36.1% (2011) |
| 4 | 5 | france | $1.7 billion | 2012 | 33.3% (2013) |
| 5 | 6 | south korea | $1.47 billion | 2013 | 59.7% (2013) |
| 6 | 7 | india | $1.4 billion | 2012 | none |
| 7 | 8 | germany | $1.3 billion | 2012 | none |
| 8 | 9 | russia | $1.2 billion | 2012 | none |
| 9 | 10 | australia | $1.2 billion | 2012 | 4.1% (2011) |
| 10 | 11 | italy | $0.84 billion | 2013 | 30% (2013) |
| 11 | 12 | brazil | $0.72 billion | 2013 | 17% (2013) |
| 12 | none | world | $34.7 billion | 2012 | none | | | | count ( "country" ) |
|---:|----------------------:|
| 0 | 1 | | [
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select abs ( category - award ) where award = 'bafta tv award' col : year | award | category | nominated work | result row 1 : 1979 | olivier award | best actress in a revival | once in a lifetime | won row 2 : 1981 | tony award | best featured in a play | piaf! | nominated row 3 : 1981 | drama desk award | outstanding featured actress in a play | piaf! | nominated row 4 : 1984 | olivier award | best actress in a revival | twelfth night | nominated row 5 : 1984 | olivier award | best actress in a supporting role | the time of your life | nominated row 6 : 1985 | olivier award | best performance in a supporting role | mother courage | nominated row 7 : 1986 | tony award | best featured actress in a play | loot | nominated row 8 : 1986 | drama desk award | outstanding featured actress in a play | loot | nominated row 9 : 1989/90 | olivier award | best performance in a supporting role | othello | nominated row 10 : 1991 | olivier award | best actress in a supporting role | the crucible | nominated row 11 : 1992 | bafta tv award | best actress | prime suspect | nominated row 12 : 1993 | bafta tv award | best actress | love hurts | nominated row 13 : 1996 | olivier award | best actress | the glass menagerie | nominated row 14 : 1998 | bafta film award | best supporting actress | wilde | nominated row 15 : 1998 | olivier award | best actress | electra | won row 16 : 1999 | tony award | best actress in a play | electra | nominated row 17 : 1999 | drama desk award | outstanding actress in a play | electra | nominated row 18 : 2002 | olivier award | best actress | boston marriage | nominated row 19 : 2006 | tony award | best featured actress in a play | awake and sing! | nominated | col : "abs ( category - award )" row 1 : abs ( category - award ) row 2 : abs ( category - award ) | select abs ( category - award ) where award = 'bafta tv award' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & award & category & nominated work & result \\
\midrule
0 & 1979 & olivier award & best actress in a revival & once in a lifetime & won \\
1 & 1981 & tony award & best featured in a play & piaf! & nominated \\
2 & 1981 & drama desk award & outstanding featured actress in a play & piaf! & nominated \\
3 & 1984 & olivier award & best actress in a revival & twelfth night & nominated \\
4 & 1984 & olivier award & best actress in a supporting role & the time of your life & nominated \\
5 & 1985 & olivier award & best performance in a supporting role & mother courage & nominated \\
6 & 1986 & tony award & best featured actress in a play & loot & nominated \\
7 & 1986 & drama desk award & outstanding featured actress in a play & loot & nominated \\
8 & 1989/90 & olivier award & best performance in a supporting role & othello & nominated \\
9 & 1991 & olivier award & best actress in a supporting role & the crucible & nominated \\
10 & 1992 & bafta tv award & best actress & prime suspect & nominated \\
11 & 1993 & bafta tv award & best actress & love hurts & nominated \\
12 & 1996 & olivier award & best actress & the glass menagerie & nominated \\
13 & 1998 & bafta film award & best supporting actress & wilde & nominated \\
14 & 1998 & olivier award & best actress & electra & won \\
15 & 1999 & tony award & best actress in a play & electra & nominated \\
16 & 1999 & drama desk award & outstanding actress in a play & electra & nominated \\
17 & 2002 & olivier award & best actress & boston marriage & nominated \\
18 & 2006 & tony award & best featured actress in a play & awake and sing! & nominated \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "abs ( category - award )" \\
\midrule
0 & abs ( category - award ) \\
1 & abs ( category - award ) \\
\bottomrule
\end{tabular}
| select abs ( category - award ) where award = 'bafta tv award' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>award</th>
<th>category</th>
<th>nominated work</th>
<th>result</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1979</td>
<td>olivier award</td>
<td>best actress in a revival</td>
<td>once in a lifetime</td>
<td>won</td>
</tr>
<tr>
<th>1</th>
<td>1981</td>
<td>tony award</td>
<td>best featured in a play</td>
<td>piaf!</td>
<td>nominated</td>
</tr>
<tr>
<th>2</th>
<td>1981</td>
<td>drama desk award</td>
<td>outstanding featured actress in a play</td>
<td>piaf!</td>
<td>nominated</td>
</tr>
<tr>
<th>3</th>
<td>1984</td>
<td>olivier award</td>
<td>best actress in a revival</td>
<td>twelfth night</td>
<td>nominated</td>
</tr>
<tr>
<th>4</th>
<td>1984</td>
<td>olivier award</td>
<td>best actress in a supporting role</td>
<td>the time of your life</td>
<td>nominated</td>
</tr>
<tr>
<th>5</th>
<td>1985</td>
<td>olivier award</td>
<td>best performance in a supporting role</td>
<td>mother courage</td>
<td>nominated</td>
</tr>
<tr>
<th>6</th>
<td>1986</td>
<td>tony award</td>
<td>best featured actress in a play</td>
<td>loot</td>
<td>nominated</td>
</tr>
<tr>
<th>7</th>
<td>1986</td>
<td>drama desk award</td>
<td>outstanding featured actress in a play</td>
<td>loot</td>
<td>nominated</td>
</tr>
<tr>
<th>8</th>
<td>1989/90</td>
<td>olivier award</td>
<td>best performance in a supporting role</td>
<td>othello</td>
<td>nominated</td>
</tr>
<tr>
<th>9</th>
<td>1991</td>
<td>olivier award</td>
<td>best actress in a supporting role</td>
<td>the crucible</td>
<td>nominated</td>
</tr>
<tr>
<th>10</th>
<td>1992</td>
<td>bafta tv award</td>
<td>best actress</td>
<td>prime suspect</td>
<td>nominated</td>
</tr>
<tr>
<th>11</th>
<td>1993</td>
<td>bafta tv award</td>
<td>best actress</td>
<td>love hurts</td>
<td>nominated</td>
</tr>
<tr>
<th>12</th>
<td>1996</td>
<td>olivier award</td>
<td>best actress</td>
<td>the glass menagerie</td>
<td>nominated</td>
</tr>
<tr>
<th>13</th>
<td>1998</td>
<td>bafta film award</td>
<td>best supporting actress</td>
<td>wilde</td>
<td>nominated</td>
</tr>
<tr>
<th>14</th>
<td>1998</td>
<td>olivier award</td>
<td>best actress</td>
<td>electra</td>
<td>won</td>
</tr>
<tr>
<th>15</th>
<td>1999</td>
<td>tony award</td>
<td>best actress in a play</td>
<td>electra</td>
<td>nominated</td>
</tr>
<tr>
<th>16</th>
<td>1999</td>
<td>drama desk award</td>
<td>outstanding actress in a play</td>
<td>electra</td>
<td>nominated</td>
</tr>
<tr>
<th>17</th>
<td>2002</td>
<td>olivier award</td>
<td>best actress</td>
<td>boston marriage</td>
<td>nominated</td>
</tr>
<tr>
<th>18</th>
<td>2006</td>
<td>tony award</td>
<td>best featured actress in a play</td>
<td>awake and sing!</td>
<td>nominated</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"abs ( category - award )"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>abs ( category - award )</td>
</tr>
<tr>
<th>1</th>
<td>abs ( category - award )</td>
</tr>
</tbody>
</table> | select abs ( category - award ) where award = 'bafta tv award' <table_name> : table | | year | award | category | nominated work | result |
|---:|:--------|:-----------------|:---------------------------------------|:----------------------|:----------|
| 0 | 1979 | olivier award | best actress in a revival | once in a lifetime | won |
| 1 | 1981 | tony award | best featured in a play | piaf! | nominated |
| 2 | 1981 | drama desk award | outstanding featured actress in a play | piaf! | nominated |
| 3 | 1984 | olivier award | best actress in a revival | twelfth night | nominated |
| 4 | 1984 | olivier award | best actress in a supporting role | the time of your life | nominated |
| 5 | 1985 | olivier award | best performance in a supporting role | mother courage | nominated |
| 6 | 1986 | tony award | best featured actress in a play | loot | nominated |
| 7 | 1986 | drama desk award | outstanding featured actress in a play | loot | nominated |
| 8 | 1989/90 | olivier award | best performance in a supporting role | othello | nominated |
| 9 | 1991 | olivier award | best actress in a supporting role | the crucible | nominated |
| 10 | 1992 | bafta tv award | best actress | prime suspect | nominated |
| 11 | 1993 | bafta tv award | best actress | love hurts | nominated |
| 12 | 1996 | olivier award | best actress | the glass menagerie | nominated |
| 13 | 1998 | bafta film award | best supporting actress | wilde | nominated |
| 14 | 1998 | olivier award | best actress | electra | won |
| 15 | 1999 | tony award | best actress in a play | electra | nominated |
| 16 | 1999 | drama desk award | outstanding actress in a play | electra | nominated |
| 17 | 2002 | olivier award | best actress | boston marriage | nominated |
| 18 | 2006 | tony award | best featured actress in a play | awake and sing! | nominated | | | | "abs ( category - award )" |
|---:|:-----------------------------|
| 0 | abs ( category - award ) |
| 1 | abs ( category - award ) | | [
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