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|---|---|---|---|---|---|---|---|---|---|---|
select count ( year ) where show < 5 col : year | show | role | channel | extra row 1 : 2004 | boogie woogie-chalo america | dance contestant | set (sony entertainment television) | finalist (top 5) row 2 : 2007 (may-october) | saregamapa challenge | singing contestant | zee network | finalist (top 7) row 3 : 2008 (march-may) | rock n roll family | host | zee network | none row 4 : 2010 ( released dec. 5th) | ek anhonee (tele-film) | lead role (divyani) | zoom | none row 5 : 2011 (june-july) | khatron ke khiladi season 4 | celebrity contestant | colors | finalist (top 2) row 6 : 2012 (feb) | kahani comedy circus ki | guest appearance (15 episodes) | set (sony entertainment television) | none row 7 : 2013 (feb) | welcome - baazi mehmaan-nawaazi ki | herself | life ok | none | col : count ( "year" ) row 1 : 0 | select count ( year ) where show < 5 <table_name> : table \begin{tabular}{llllll}
\toprule
& year & show & role & channel & extra \\
\midrule
0 & 2004 & boogie woogie-chalo america & dance contestant & set (sony entertainment television) & finalist (top 5) \\
1 & 2007 (may-october) & saregamapa challenge & singing contestant & zee network & finalist (top 7) \\
2 & 2008 (march-may) & rock n roll family & host & zee network & none \\
3 & 2010 ( released dec. 5th) & ek anhonee (tele-film) & lead role (divyani) & zoom & none \\
4 & 2011 (june-july) & khatron ke khiladi season 4 & celebrity contestant & colors & finalist (top 2) \\
5 & 2012 (feb) & kahani comedy circus ki & guest appearance (15 episodes) & set (sony entertainment television) & none \\
6 & 2013 (feb) & welcome - baazi mehmaan-nawaazi ki & herself & life ok & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "year" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( year ) where show < 5 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>show</th>
<th>role</th>
<th>channel</th>
<th>extra</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2004</td>
<td>boogie woogie-chalo america</td>
<td>dance contestant</td>
<td>set (sony entertainment television)</td>
<td>finalist (top 5)</td>
</tr>
<tr>
<th>1</th>
<td>2007 (may-october)</td>
<td>saregamapa challenge</td>
<td>singing contestant</td>
<td>zee network</td>
<td>finalist (top 7)</td>
</tr>
<tr>
<th>2</th>
<td>2008 (march-may)</td>
<td>rock n roll family</td>
<td>host</td>
<td>zee network</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>2010 ( released dec. 5th)</td>
<td>ek anhonee (tele-film)</td>
<td>lead role (divyani)</td>
<td>zoom</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>2011 (june-july)</td>
<td>khatron ke khiladi season 4</td>
<td>celebrity contestant</td>
<td>colors</td>
<td>finalist (top 2)</td>
</tr>
<tr>
<th>5</th>
<td>2012 (feb)</td>
<td>kahani comedy circus ki</td>
<td>guest appearance (15 episodes)</td>
<td>set (sony entertainment television)</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>2013 (feb)</td>
<td>welcome - baazi mehmaan-nawaazi ki</td>
<td>herself</td>
<td>life ok</td>
<td>none</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>0</td>
</tr>
</tbody>
</table> | select count ( year ) where show < 5 <table_name> : table | | year | show | role | channel | extra |
|---:|:--------------------------|:-----------------------------------|:-------------------------------|:------------------------------------|:-----------------|
| 0 | 2004 | boogie woogie-chalo america | dance contestant | set (sony entertainment television) | finalist (top 5) |
| 1 | 2007 (may-october) | saregamapa challenge | singing contestant | zee network | finalist (top 7) |
| 2 | 2008 (march-may) | rock n roll family | host | zee network | none |
| 3 | 2010 ( released dec. 5th) | ek anhonee (tele-film) | lead role (divyani) | zoom | none |
| 4 | 2011 (june-july) | khatron ke khiladi season 4 | celebrity contestant | colors | finalist (top 2) |
| 5 | 2012 (feb) | kahani comedy circus ki | guest appearance (15 episodes) | set (sony entertainment television) | none |
| 6 | 2013 (feb) | welcome - baazi mehmaan-nawaazi ki | herself | life ok | none | | | | count ( "year" ) |
|---:|-------------------:|
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select count ( * ) where rank > 1076 col : rank | athlete | qual | final | total | notes row 1 : none | silvia sperber (frg) | 590 | 95.6 | 685.6 | or row 2 : none | vesela letcheva (bul) | 583 | 100.2 | 683.2 | none row 3 : none | valentina cherkasova (urs) | 586 | 95.4 | 681.4 | none row 4 : 4 | katja klepp (gdr) | 584 | 96.5 | 680.5 | none row 5 : 5 | sharon bowes (can) | 584 | 96.5 | 680.5 | none row 6 : 6 | anna maloukhina (urs) | 585 | 93.4 | 678.4 | none row 7 : 7 | launi meili (usa) | 582 | 94.5 | 676.5 | none row 8 : 8 | anita karlsson (swe) | 583 | 93.4 | 676.4 | none | col : count ( "*" ) row 1 : 8 | select count ( * ) where rank > 1076 <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & athlete & qual & final & total & notes \\
\midrule
0 & none & silvia sperber (frg) & 590 & 95.6 & 685.6 & or \\
1 & none & vesela letcheva (bul) & 583 & 100.2 & 683.2 & none \\
2 & none & valentina cherkasova (urs) & 586 & 95.4 & 681.4 & none \\
3 & 4 & katja klepp (gdr) & 584 & 96.5 & 680.5 & none \\
4 & 5 & sharon bowes (can) & 584 & 96.5 & 680.5 & none \\
5 & 6 & anna maloukhina (urs) & 585 & 93.4 & 678.4 & none \\
6 & 7 & launi meili (usa) & 582 & 94.5 & 676.5 & none \\
7 & 8 & anita karlsson (swe) & 583 & 93.4 & 676.4 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 8 \\
\bottomrule
\end{tabular}
| select count ( * ) where rank > 1076 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>athlete</th>
<th>qual</th>
<th>final</th>
<th>total</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>none</td>
<td>silvia sperber (frg)</td>
<td>590</td>
<td>95.6</td>
<td>685.6</td>
<td>or</td>
</tr>
<tr>
<th>1</th>
<td>none</td>
<td>vesela letcheva (bul)</td>
<td>583</td>
<td>100.2</td>
<td>683.2</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>none</td>
<td>valentina cherkasova (urs)</td>
<td>586</td>
<td>95.4</td>
<td>681.4</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>katja klepp (gdr)</td>
<td>584</td>
<td>96.5</td>
<td>680.5</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>sharon bowes (can)</td>
<td>584</td>
<td>96.5</td>
<td>680.5</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>anna maloukhina (urs)</td>
<td>585</td>
<td>93.4</td>
<td>678.4</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>launi meili (usa)</td>
<td>582</td>
<td>94.5</td>
<td>676.5</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>anita karlsson (swe)</td>
<td>583</td>
<td>93.4</td>
<td>676.4</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>8</td>
</tr>
</tbody>
</table> | select count ( * ) where rank > 1076 <table_name> : table | | rank | athlete | qual | final | total | notes |
|---:|:-------|:---------------------------|-------:|--------:|--------:|:--------|
| 0 | none | silvia sperber (frg) | 590 | 95.6 | 685.6 | or |
| 1 | none | vesela letcheva (bul) | 583 | 100.2 | 683.2 | none |
| 2 | none | valentina cherkasova (urs) | 586 | 95.4 | 681.4 | none |
| 3 | 4 | katja klepp (gdr) | 584 | 96.5 | 680.5 | none |
| 4 | 5 | sharon bowes (can) | 584 | 96.5 | 680.5 | none |
| 5 | 6 | anna maloukhina (urs) | 585 | 93.4 | 678.4 | none |
| 6 | 7 | launi meili (usa) | 582 | 94.5 | 676.5 | none |
| 7 | 8 | anita karlsson (swe) | 583 | 93.4 | 676.4 | none | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 8 | | [
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] |
select country (noc) where city = 'buenos aires' col : city | country (noc) | round 1 | run-off | round 3 | round 4 | round 5 row 1 : athens | greece | 32 | none | 38 | 52 | 66 row 2 : rome | italy | 23 | none | 28 | 35 | 41 row 3 : cape town | south africa | 16 | 62 | 22 | 20 | none row 4 : stockholm | sweden | 20 | none | 19 | none | none row 5 : buenos aires | argentina | 16 | 44 | none | none | none | col : count ( "noc" ) row 1 : 1 | select country (noc) where city = 'buenos aires' <table_name> : table \begin{tabular}{llllllll}
\toprule
& city & country (noc) & round 1 & run-off & round 3 & round 4 & round 5 \\
\midrule
0 & athens & greece & 32 & none & 38 & 52 & 66 \\
1 & rome & italy & 23 & none & 28 & 35 & 41 \\
2 & cape town & south africa & 16 & 62 & 22 & 20 & none \\
3 & stockholm & sweden & 20 & none & 19 & none & none \\
4 & buenos aires & argentina & 16 & 44 & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "noc" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select country (noc) where city = 'buenos aires' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>city</th>
<th>country (noc)</th>
<th>round 1</th>
<th>run-off</th>
<th>round 3</th>
<th>round 4</th>
<th>round 5</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>athens</td>
<td>greece</td>
<td>32</td>
<td>none</td>
<td>38</td>
<td>52</td>
<td>66</td>
</tr>
<tr>
<th>1</th>
<td>rome</td>
<td>italy</td>
<td>23</td>
<td>none</td>
<td>28</td>
<td>35</td>
<td>41</td>
</tr>
<tr>
<th>2</th>
<td>cape town</td>
<td>south africa</td>
<td>16</td>
<td>62</td>
<td>22</td>
<td>20</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>stockholm</td>
<td>sweden</td>
<td>20</td>
<td>none</td>
<td>19</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>buenos aires</td>
<td>argentina</td>
<td>16</td>
<td>44</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 ( "noc" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select country (noc) where city = 'buenos aires' <table_name> : table | | city | country (noc) | round 1 | run-off | round 3 | round 4 | round 5 |
|---:|:-------------|:----------------|----------:|:----------|:----------|:----------|:----------|
| 0 | athens | greece | 32 | none | 38 | 52 | 66 |
| 1 | rome | italy | 23 | none | 28 | 35 | 41 |
| 2 | cape town | south africa | 16 | 62 | 22 | 20 | none |
| 3 | stockholm | sweden | 20 | none | 19 | none | none |
| 4 | buenos aires | argentina | 16 | 44 | none | none | none | | | | count ( "noc" ) |
|---:|------------------:|
| 0 | 1 | | [
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select games where games = '1988 seoul' col : games | athletes | gold | silver | bronze | total | rank row 1 : 1988 seoul | 14 | 0 | 0 | 1 | 1 | 48 row 2 : 1992 barcelona | 5 | 0 | 0 | 0 | 0 | none row 3 : 1996 atlanta | 4 | 0 | 0 | 0 | 0 | none row 4 : 2000 sydney | 7 | 0 | 0 | 0 | 0 | none row 5 : 2004 athens | 10 | 2 | 4 | 0 | 6 | 42 row 6 : 2008 beijing | 18 | 4 | 1 | 2 | 7 | 32 row 7 : 2012 london | 31 | 3 | 0 | 3 | 6 | 37 row 8 : total | total | 9 | 5 | 6 | 20 | 54 row 9 : none | none | none | none | none | none | none | col : games row 1 : 1988 seoul | select games where games = '1988 seoul' <table_name> : table \begin{tabular}{llllllll}
\toprule
& games & athletes & gold & silver & bronze & total & rank \\
\midrule
0 & 1988 seoul & 14 & 0 & 0 & 1 & 1 & 48 \\
1 & 1992 barcelona & 5 & 0 & 0 & 0 & 0 & none \\
2 & 1996 atlanta & 4 & 0 & 0 & 0 & 0 & none \\
3 & 2000 sydney & 7 & 0 & 0 & 0 & 0 & none \\
4 & 2004 athens & 10 & 2 & 4 & 0 & 6 & 42 \\
5 & 2008 beijing & 18 & 4 & 1 & 2 & 7 & 32 \\
6 & 2012 london & 31 & 3 & 0 & 3 & 6 & 37 \\
7 & total & total & 9 & 5 & 6 & 20 & 54 \\
8 & none & none & none & none & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& games \\
\midrule
0 & 1988 seoul \\
\bottomrule
\end{tabular}
| select games where games = '1988 seoul' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>games</th>
<th>athletes</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
<th>total</th>
<th>rank</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1988 seoul</td>
<td>14</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>48</td>
</tr>
<tr>
<th>1</th>
<td>1992 barcelona</td>
<td>5</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>1996 atlanta</td>
<td>4</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>2000 sydney</td>
<td>7</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>2004 athens</td>
<td>10</td>
<td>2</td>
<td>4</td>
<td>0</td>
<td>6</td>
<td>42</td>
</tr>
<tr>
<th>5</th>
<td>2008 beijing</td>
<td>18</td>
<td>4</td>
<td>1</td>
<td>2</td>
<td>7</td>
<td>32</td>
</tr>
<tr>
<th>6</th>
<td>2012 london</td>
<td>31</td>
<td>3</td>
<td>0</td>
<td>3</td>
<td>6</td>
<td>37</td>
</tr>
<tr>
<th>7</th>
<td>total</td>
<td>total</td>
<td>9</td>
<td>5</td>
<td>6</td>
<td>20</td>
<td>54</td>
</tr>
<tr>
<th>8</th>
<td>none</td>
<td>none</td>
<td>none</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>games</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1988 seoul</td>
</tr>
</tbody>
</table> | select games where games = '1988 seoul' <table_name> : table | | games | athletes | gold | silver | bronze | total | rank |
|---:|:---------------|:-----------|:-------|:---------|:---------|:--------|:-------|
| 0 | 1988 seoul | 14 | 0 | 0 | 1 | 1 | 48 |
| 1 | 1992 barcelona | 5 | 0 | 0 | 0 | 0 | none |
| 2 | 1996 atlanta | 4 | 0 | 0 | 0 | 0 | none |
| 3 | 2000 sydney | 7 | 0 | 0 | 0 | 0 | none |
| 4 | 2004 athens | 10 | 2 | 4 | 0 | 6 | 42 |
| 5 | 2008 beijing | 18 | 4 | 1 | 2 | 7 | 32 |
| 6 | 2012 london | 31 | 3 | 0 | 3 | 6 | 37 |
| 7 | total | total | 9 | 5 | 6 | 20 | 54 |
| 8 | none | none | none | none | none | none | none | | | | games |
|---:|:-----------|
| 0 | 1988 seoul | | [
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select abs ( # of party list votes - # of constituency votes ) where # of overall seats won = '218 / 497' col : election year | # of constituency votes | # of party list votes | % of party list votes | # of overall seats won | +/- row 1 : 1949 | none | 6934975 | 29.2 | 131 / 402 | none row 2 : 1953 | 8131257 | 7944943 | 28.8 | 162 / 509 | 22 row 3 : 1957 | 11975400 | 11875339 | 39.7 | 181 / 519 | 19 row 4 : 1961 | 11672057 | 11427355 | 36.2 | 203 / 521 | 22 row 5 : 1965 | 12998474 | 12813186 | 39.3 | 217 / 518 | 14 row 6 : 1969 | 14402374 | 14065716 | 42.7 | 237 / 518 | 20 row 7 : 1972 | 18228239 | 17175169 | 45.8 | 242 / 518 | 5 row 8 : 1976 | 16471321 | 16099019 | 42.6 | 224 / 518 | 18 row 9 : 1980 | 16808861 | 16260677 | 42.9 | 218 / 497 | 6 row 10 : 1983 | 15686033 | 14865807 | 38.2 | 193 / 498 | 25 row 11 : 1987 | 14787953 | 14025763 | 37.0 | 186 / 497 | 7 row 12 : 1990 | 16279980 | 15545366 | 33.5 | 239 / 662 | 53 row 13 : 1994 | 17966813 | 17140354 | 36.4 | 252 / 672 | 13 row 14 : 1998 | 21535893 | 20181269 | 40.9 | 298 / 669 | 43 row 15 : 2002 | 20059967 | 18484560 | 38.5 | 251 / 603 | 47 row 16 : 2005 | 18129100 | 16194665 | 34.2 | 222 / 614 | 29 row 17 : 2009 | 12077437 | 9988843 | 23.0 | 146 / 620 | 76 row 18 : 2013 | 12835933 | 11247283 | 25.7 | 193 / 631 | 42 | col : "abs ( # of party list votes - # of constituency votes )" row 1 : abs ( # of party list votes - # of constituency votes ) | select abs ( # of party list votes - # of constituency votes ) where # of overall seats won = '218 / 497' <table_name> : table \begin{tabular}{lllllll}
\toprule
& election year & # of constituency votes & # of party list votes & % of party list votes & # of overall seats won & +/- \\
\midrule
0 & 1949 & none & 6934975 & 29.2 & 131 / 402 & none \\
1 & 1953 & 8131257 & 7944943 & 28.8 & 162 / 509 & 22 \\
2 & 1957 & 11975400 & 11875339 & 39.7 & 181 / 519 & 19 \\
3 & 1961 & 11672057 & 11427355 & 36.2 & 203 / 521 & 22 \\
4 & 1965 & 12998474 & 12813186 & 39.3 & 217 / 518 & 14 \\
5 & 1969 & 14402374 & 14065716 & 42.7 & 237 / 518 & 20 \\
6 & 1972 & 18228239 & 17175169 & 45.8 & 242 / 518 & 5 \\
7 & 1976 & 16471321 & 16099019 & 42.6 & 224 / 518 & 18 \\
8 & 1980 & 16808861 & 16260677 & 42.9 & 218 / 497 & 6 \\
9 & 1983 & 15686033 & 14865807 & 38.2 & 193 / 498 & 25 \\
10 & 1987 & 14787953 & 14025763 & 37.0 & 186 / 497 & 7 \\
11 & 1990 & 16279980 & 15545366 & 33.5 & 239 / 662 & 53 \\
12 & 1994 & 17966813 & 17140354 & 36.4 & 252 / 672 & 13 \\
13 & 1998 & 21535893 & 20181269 & 40.9 & 298 / 669 & 43 \\
14 & 2002 & 20059967 & 18484560 & 38.5 & 251 / 603 & 47 \\
15 & 2005 & 18129100 & 16194665 & 34.2 & 222 / 614 & 29 \\
16 & 2009 & 12077437 & 9988843 & 23.0 & 146 / 620 & 76 \\
17 & 2013 & 12835933 & 11247283 & 25.7 & 193 / 631 & 42 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "abs ( # of party list votes - # of constituency votes )" \\
\midrule
0 & abs ( # of party list votes - # of constituency votes ) \\
\bottomrule
\end{tabular}
| select abs ( # of party list votes - # of constituency votes ) where # of overall seats won = '218 / 497' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>election year</th>
<th># of constituency votes</th>
<th># of party list votes</th>
<th>% of party list votes</th>
<th># of overall seats won</th>
<th>+/-</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1949</td>
<td>none</td>
<td>6934975</td>
<td>29.2</td>
<td>131 / 402</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1953</td>
<td>8131257</td>
<td>7944943</td>
<td>28.8</td>
<td>162 / 509</td>
<td>22</td>
</tr>
<tr>
<th>2</th>
<td>1957</td>
<td>11975400</td>
<td>11875339</td>
<td>39.7</td>
<td>181 / 519</td>
<td>19</td>
</tr>
<tr>
<th>3</th>
<td>1961</td>
<td>11672057</td>
<td>11427355</td>
<td>36.2</td>
<td>203 / 521</td>
<td>22</td>
</tr>
<tr>
<th>4</th>
<td>1965</td>
<td>12998474</td>
<td>12813186</td>
<td>39.3</td>
<td>217 / 518</td>
<td>14</td>
</tr>
<tr>
<th>5</th>
<td>1969</td>
<td>14402374</td>
<td>14065716</td>
<td>42.7</td>
<td>237 / 518</td>
<td>20</td>
</tr>
<tr>
<th>6</th>
<td>1972</td>
<td>18228239</td>
<td>17175169</td>
<td>45.8</td>
<td>242 / 518</td>
<td>5</td>
</tr>
<tr>
<th>7</th>
<td>1976</td>
<td>16471321</td>
<td>16099019</td>
<td>42.6</td>
<td>224 / 518</td>
<td>18</td>
</tr>
<tr>
<th>8</th>
<td>1980</td>
<td>16808861</td>
<td>16260677</td>
<td>42.9</td>
<td>218 / 497</td>
<td>6</td>
</tr>
<tr>
<th>9</th>
<td>1983</td>
<td>15686033</td>
<td>14865807</td>
<td>38.2</td>
<td>193 / 498</td>
<td>25</td>
</tr>
<tr>
<th>10</th>
<td>1987</td>
<td>14787953</td>
<td>14025763</td>
<td>37.0</td>
<td>186 / 497</td>
<td>7</td>
</tr>
<tr>
<th>11</th>
<td>1990</td>
<td>16279980</td>
<td>15545366</td>
<td>33.5</td>
<td>239 / 662</td>
<td>53</td>
</tr>
<tr>
<th>12</th>
<td>1994</td>
<td>17966813</td>
<td>17140354</td>
<td>36.4</td>
<td>252 / 672</td>
<td>13</td>
</tr>
<tr>
<th>13</th>
<td>1998</td>
<td>21535893</td>
<td>20181269</td>
<td>40.9</td>
<td>298 / 669</td>
<td>43</td>
</tr>
<tr>
<th>14</th>
<td>2002</td>
<td>20059967</td>
<td>18484560</td>
<td>38.5</td>
<td>251 / 603</td>
<td>47</td>
</tr>
<tr>
<th>15</th>
<td>2005</td>
<td>18129100</td>
<td>16194665</td>
<td>34.2</td>
<td>222 / 614</td>
<td>29</td>
</tr>
<tr>
<th>16</th>
<td>2009</td>
<td>12077437</td>
<td>9988843</td>
<td>23.0</td>
<td>146 / 620</td>
<td>76</td>
</tr>
<tr>
<th>17</th>
<td>2013</td>
<td>12835933</td>
<td>11247283</td>
<td>25.7</td>
<td>193 / 631</td>
<td>42</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"abs ( # of party list votes - # of constituency votes )"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>abs ( # of party list votes - # of constituency votes )</td>
</tr>
</tbody>
</table> | select abs ( # of party list votes - # of constituency votes ) where # of overall seats won = '218 / 497' <table_name> : table | | election year | # of constituency votes | # of party list votes | % of party list votes | # of overall seats won | +/- |
|---:|----------------:|:--------------------------|------------------------:|------------------------:|:-------------------------|:------|
| 0 | 1949 | none | 6934975 | 29.2 | 131 / 402 | none |
| 1 | 1953 | 8131257 | 7944943 | 28.8 | 162 / 509 | 22 |
| 2 | 1957 | 11975400 | 11875339 | 39.7 | 181 / 519 | 19 |
| 3 | 1961 | 11672057 | 11427355 | 36.2 | 203 / 521 | 22 |
| 4 | 1965 | 12998474 | 12813186 | 39.3 | 217 / 518 | 14 |
| 5 | 1969 | 14402374 | 14065716 | 42.7 | 237 / 518 | 20 |
| 6 | 1972 | 18228239 | 17175169 | 45.8 | 242 / 518 | 5 |
| 7 | 1976 | 16471321 | 16099019 | 42.6 | 224 / 518 | 18 |
| 8 | 1980 | 16808861 | 16260677 | 42.9 | 218 / 497 | 6 |
| 9 | 1983 | 15686033 | 14865807 | 38.2 | 193 / 498 | 25 |
| 10 | 1987 | 14787953 | 14025763 | 37 | 186 / 497 | 7 |
| 11 | 1990 | 16279980 | 15545366 | 33.5 | 239 / 662 | 53 |
| 12 | 1994 | 17966813 | 17140354 | 36.4 | 252 / 672 | 13 |
| 13 | 1998 | 21535893 | 20181269 | 40.9 | 298 / 669 | 43 |
| 14 | 2002 | 20059967 | 18484560 | 38.5 | 251 / 603 | 47 |
| 15 | 2005 | 18129100 | 16194665 | 34.2 | 222 / 614 | 29 |
| 16 | 2009 | 12077437 | 9988843 | 23 | 146 / 620 | 76 |
| 17 | 2013 | 12835933 | 11247283 | 25.7 | 193 / 631 | 42 | | | | "abs ( # of party list votes - # of constituency votes )" |
|---:|:------------------------------------------------------------|
| 0 | abs ( # of party list votes - # of constituency votes ) | | [
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select community where target date = 2019 col : community | currency | region | target date | notes row 1 : economic and monetary community of central africa (cemac) | central african cfa franc | africa | none | not yet functioning common market row 2 : west african economic and monetary union (uemoa) | west african cfa franc | africa | none | not yet functioning common market row 3 : gulf cooperation council (gcc) | khaleeji | middle east | 2013 | possibly gold backed, but postponed due to the financial crisis row 4 : east african community (eac) | east african shilling | africa | 2015 | to be used by the future east african federation row 5 : caribbean single market and economy (as part of the caricom) | none | latin america /caribbean | 2015 | to supplement the oecs eastern caribbean currency union row 6 : southern african customs union (sacu) | south african rand | africa | 2015 | de facto for the cma member when the sadc economic union is established row 7 : southern african development community (sadc) | south african rand (interim proposal) | africa | 2016 | to supplement or succeed the cma and southern africa customs union row 8 : south asian association for regional cooperation | none | south asia | 2016 | none row 9 : union of south american nations (unasur) | latino | latin america /caribbean | 2019 | none row 10 : economic community of central african states (eccas) | none | africa | none | to supplement the economic and monetary community of central africa (cemac) row 11 : economic community of west african states (ecowas) | none | africa | none | to succeed uemoa and wamz row 12 : african economic community | none | africa | 2028 | see african monetary union row 13 : union state of russia and belarus | russian ruble | europe | none | none row 14 : arab league | arab dinar | arab states | none | arab dinar has been proposed ever since the creation of the arab monetary fund, expected for serious plans of doing so, after the creation of the proposed arab union | col : community row 1 : union of south american nations (unasur) | select community where target date = 2019 <table_name> : table \begin{tabular}{llllll}
\toprule
& community & currency & region & target date & notes \\
\midrule
0 & economic and monetary community of central africa (cemac) & central african cfa franc & africa & none & not yet functioning common market \\
1 & west african economic and monetary union (uemoa) & west african cfa franc & africa & none & not yet functioning common market \\
2 & gulf cooperation council (gcc) & khaleeji & middle east & 2013 & possibly gold backed, but postponed due to the financial crisis \\
3 & east african community (eac) & east african shilling & africa & 2015 & to be used by the future east african federation \\
4 & caribbean single market and economy (as part of the caricom) & none & latin america /caribbean & 2015 & to supplement the oecs eastern caribbean currency union \\
5 & southern african customs union (sacu) & south african rand & africa & 2015 & de facto for the cma member when the sadc economic union is established \\
6 & southern african development community (sadc) & south african rand (interim proposal) & africa & 2016 & to supplement or succeed the cma and southern africa customs union \\
7 & south asian association for regional cooperation & none & south asia & 2016 & none \\
8 & union of south american nations (unasur) & latino & latin america /caribbean & 2019 & none \\
9 & economic community of central african states (eccas) & none & africa & none & to supplement the economic and monetary community of central africa (cemac) \\
10 & economic community of west african states (ecowas) & none & africa & none & to succeed uemoa and wamz \\
11 & african economic community & none & africa & 2028 & see african monetary union \\
12 & union state of russia and belarus & russian ruble & europe & none & none \\
13 & arab league & arab dinar & arab states & none & arab dinar has been proposed ever since the creation of the arab monetary fund, expected for serious plans of doing so, after the creation of the proposed arab union \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& community \\
\midrule
0 & union of south american nations (unasur) \\
\bottomrule
\end{tabular}
| select community where target date = 2019 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>community</th>
<th>currency</th>
<th>region</th>
<th>target date</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>economic and monetary community of central africa (cemac)</td>
<td>central african cfa franc</td>
<td>africa</td>
<td>none</td>
<td>not yet functioning common market</td>
</tr>
<tr>
<th>1</th>
<td>west african economic and monetary union (uemoa)</td>
<td>west african cfa franc</td>
<td>africa</td>
<td>none</td>
<td>not yet functioning common market</td>
</tr>
<tr>
<th>2</th>
<td>gulf cooperation council (gcc)</td>
<td>khaleeji</td>
<td>middle east</td>
<td>2013</td>
<td>possibly gold backed, but postponed due to the financial crisis</td>
</tr>
<tr>
<th>3</th>
<td>east african community (eac)</td>
<td>east african shilling</td>
<td>africa</td>
<td>2015</td>
<td>to be used by the future east african federation</td>
</tr>
<tr>
<th>4</th>
<td>caribbean single market and economy (as part of the caricom)</td>
<td>none</td>
<td>latin america /caribbean</td>
<td>2015</td>
<td>to supplement the oecs eastern caribbean currency union</td>
</tr>
<tr>
<th>5</th>
<td>southern african customs union (sacu)</td>
<td>south african rand</td>
<td>africa</td>
<td>2015</td>
<td>de facto for the cma member when the sadc economic union is established</td>
</tr>
<tr>
<th>6</th>
<td>southern african development community (sadc)</td>
<td>south african rand (interim proposal)</td>
<td>africa</td>
<td>2016</td>
<td>to supplement or succeed the cma and southern africa customs union</td>
</tr>
<tr>
<th>7</th>
<td>south asian association for regional cooperation</td>
<td>none</td>
<td>south asia</td>
<td>2016</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>union of south american nations (unasur)</td>
<td>latino</td>
<td>latin america /caribbean</td>
<td>2019</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>economic community of central african states (eccas)</td>
<td>none</td>
<td>africa</td>
<td>none</td>
<td>to supplement the economic and monetary community of central africa (cemac)</td>
</tr>
<tr>
<th>10</th>
<td>economic community of west african states (ecowas)</td>
<td>none</td>
<td>africa</td>
<td>none</td>
<td>to succeed uemoa and wamz</td>
</tr>
<tr>
<th>11</th>
<td>african economic community</td>
<td>none</td>
<td>africa</td>
<td>2028</td>
<td>see african monetary union</td>
</tr>
<tr>
<th>12</th>
<td>union state of russia and belarus</td>
<td>russian ruble</td>
<td>europe</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>arab league</td>
<td>arab dinar</td>
<td>arab states</td>
<td>none</td>
<td>arab dinar has been proposed ever since the creation of the arab monetary fund, expected for serious plans of doing so, after the creation of the proposed arab union</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>community</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>union of south american nations (unasur)</td>
</tr>
</tbody>
</table> | select community where target date = 2019 <table_name> : table | | community | currency | region | target date | notes |
|---:|:-------------------------------------------------------------|:--------------------------------------|:-------------------------|:--------------|:----------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | economic and monetary community of central africa (cemac) | central african cfa franc | africa | none | not yet functioning common market |
| 1 | west african economic and monetary union (uemoa) | west african cfa franc | africa | none | not yet functioning common market |
| 2 | gulf cooperation council (gcc) | khaleeji | middle east | 2013 | possibly gold backed, but postponed due to the financial crisis |
| 3 | east african community (eac) | east african shilling | africa | 2015 | to be used by the future east african federation |
| 4 | caribbean single market and economy (as part of the caricom) | none | latin america /caribbean | 2015 | to supplement the oecs eastern caribbean currency union |
| 5 | southern african customs union (sacu) | south african rand | africa | 2015 | de facto for the cma member when the sadc economic union is established |
| 6 | southern african development community (sadc) | south african rand (interim proposal) | africa | 2016 | to supplement or succeed the cma and southern africa customs union |
| 7 | south asian association for regional cooperation | none | south asia | 2016 | none |
| 8 | union of south american nations (unasur) | latino | latin america /caribbean | 2019 | none |
| 9 | economic community of central african states (eccas) | none | africa | none | to supplement the economic and monetary community of central africa (cemac) |
| 10 | economic community of west african states (ecowas) | none | africa | none | to succeed uemoa and wamz |
| 11 | african economic community | none | africa | 2028 | see african monetary union |
| 12 | union state of russia and belarus | russian ruble | europe | none | none |
| 13 | arab league | arab dinar | arab states | none | arab dinar has been proposed ever since the creation of the arab monetary fund, expected for serious plans of doing so, after the creation of the proposed arab union | | | | community |
|---:|:-----------------------------------------|
| 0 | union of south american nations (unasur) | | [
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select type where last mention or demise = 1372 col : location | name of mill and grid reference | type | maps | first mention or built | last mention or demise row 1 : chesfield | none | post | none | 1318 | 1372 row 2 : chesfield | chesfield park | titt iron wind engine | none | 1896 | none row 3 : cheshunt | tl 317 036 | post | none | 1843 | demolished c. 1860 row 4 : cheshunt | goff's oak mill tl 317 036 | tower | none | c. 1860 | demolished 1953 row 5 : cheshunt | turner's hill mill tl 363 023 | none | 1822 | 1822 | 1861 row 6 : chipperfield | tl 037 014 | post | none | 1594 | 1594 row 7 : chipperfield | tl 037 014 | smock | 1822 | 1822 | 1881, gone by 1896 row 8 : chipping | approximately tl 350 319 | post | 1720 1728 | 1720 | 1728 row 9 : clothall | approximately tl 264 326 | post | none | 1370 | 1370 row 10 : codicote | codicote heath approximately tl 206 185 | smock | none | 1841 | 1855, gone by 1881 row 11 : colney heath | colney heath mill tl 205 055 | tower | none | 1854 | windmill world row 12 : cottered | none | post | none | 1581 | 1581 row 13 : cromer | none | none | none | 1192 | 1576 row 14 : cromer | cromer mill tl 304 286 | post | 1720 1728 1749 1766 1800 1822 | 1720 | windmill world row 15 : croxley green | croxley green mill tq 067 953 | tower | none | c. 1860 | windmill world | col : type row 1 : post | select type where last mention or demise = 1372 <table_name> : table \begin{tabular}{lllllll}
\toprule
& location & name of mill and grid reference & type & maps & first mention or built & last mention or demise \\
\midrule
0 & chesfield & none & post & none & 1318 & 1372 \\
1 & chesfield & chesfield park & titt iron wind engine & none & 1896 & none \\
2 & cheshunt & tl 317 036 & post & none & 1843 & demolished c. 1860 \\
3 & cheshunt & goff's oak mill tl 317 036 & tower & none & c. 1860 & demolished 1953 \\
4 & cheshunt & turner's hill mill tl 363 023 & none & 1822 & 1822 & 1861 \\
5 & chipperfield & tl 037 014 & post & none & 1594 & 1594 \\
6 & chipperfield & tl 037 014 & smock & 1822 & 1822 & 1881, gone by 1896 \\
7 & chipping & approximately tl 350 319 & post & 1720 1728 & 1720 & 1728 \\
8 & clothall & approximately tl 264 326 & post & none & 1370 & 1370 \\
9 & codicote & codicote heath approximately tl 206 185 & smock & none & 1841 & 1855, gone by 1881 \\
10 & colney heath & colney heath mill tl 205 055 & tower & none & 1854 & windmill world \\
11 & cottered & none & post & none & 1581 & 1581 \\
12 & cromer & none & none & none & 1192 & 1576 \\
13 & cromer & cromer mill tl 304 286 & post & 1720 1728 1749 1766 1800 1822 & 1720 & windmill world \\
14 & croxley green & croxley green mill tq 067 953 & tower & none & c. 1860 & windmill world \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& type \\
\midrule
0 & post \\
\bottomrule
\end{tabular}
| select type where last mention or demise = 1372 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>location</th>
<th>name of mill and grid reference</th>
<th>type</th>
<th>maps</th>
<th>first mention or built</th>
<th>last mention or demise</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>chesfield</td>
<td>none</td>
<td>post</td>
<td>none</td>
<td>1318</td>
<td>1372</td>
</tr>
<tr>
<th>1</th>
<td>chesfield</td>
<td>chesfield park</td>
<td>titt iron wind engine</td>
<td>none</td>
<td>1896</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>cheshunt</td>
<td>tl 317 036</td>
<td>post</td>
<td>none</td>
<td>1843</td>
<td>demolished c. 1860</td>
</tr>
<tr>
<th>3</th>
<td>cheshunt</td>
<td>goff's oak mill tl 317 036</td>
<td>tower</td>
<td>none</td>
<td>c. 1860</td>
<td>demolished 1953</td>
</tr>
<tr>
<th>4</th>
<td>cheshunt</td>
<td>turner's hill mill tl 363 023</td>
<td>none</td>
<td>1822</td>
<td>1822</td>
<td>1861</td>
</tr>
<tr>
<th>5</th>
<td>chipperfield</td>
<td>tl 037 014</td>
<td>post</td>
<td>none</td>
<td>1594</td>
<td>1594</td>
</tr>
<tr>
<th>6</th>
<td>chipperfield</td>
<td>tl 037 014</td>
<td>smock</td>
<td>1822</td>
<td>1822</td>
<td>1881, gone by 1896</td>
</tr>
<tr>
<th>7</th>
<td>chipping</td>
<td>approximately tl 350 319</td>
<td>post</td>
<td>1720 1728</td>
<td>1720</td>
<td>1728</td>
</tr>
<tr>
<th>8</th>
<td>clothall</td>
<td>approximately tl 264 326</td>
<td>post</td>
<td>none</td>
<td>1370</td>
<td>1370</td>
</tr>
<tr>
<th>9</th>
<td>codicote</td>
<td>codicote heath approximately tl 206 185</td>
<td>smock</td>
<td>none</td>
<td>1841</td>
<td>1855, gone by 1881</td>
</tr>
<tr>
<th>10</th>
<td>colney heath</td>
<td>colney heath mill tl 205 055</td>
<td>tower</td>
<td>none</td>
<td>1854</td>
<td>windmill world</td>
</tr>
<tr>
<th>11</th>
<td>cottered</td>
<td>none</td>
<td>post</td>
<td>none</td>
<td>1581</td>
<td>1581</td>
</tr>
<tr>
<th>12</th>
<td>cromer</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>1192</td>
<td>1576</td>
</tr>
<tr>
<th>13</th>
<td>cromer</td>
<td>cromer mill tl 304 286</td>
<td>post</td>
<td>1720 1728 1749 1766 1800 1822</td>
<td>1720</td>
<td>windmill world</td>
</tr>
<tr>
<th>14</th>
<td>croxley green</td>
<td>croxley green mill tq 067 953</td>
<td>tower</td>
<td>none</td>
<td>c. 1860</td>
<td>windmill world</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>type</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>post</td>
</tr>
</tbody>
</table> | select type where last mention or demise = 1372 <table_name> : table | | location | name of mill and grid reference | type | maps | first mention or built | last mention or demise |
|---:|:--------------|:----------------------------------------|:----------------------|:------------------------------|:-------------------------|:-------------------------|
| 0 | chesfield | none | post | none | 1318 | 1372 |
| 1 | chesfield | chesfield park | titt iron wind engine | none | 1896 | none |
| 2 | cheshunt | tl 317 036 | post | none | 1843 | demolished c. 1860 |
| 3 | cheshunt | goff's oak mill tl 317 036 | tower | none | c. 1860 | demolished 1953 |
| 4 | cheshunt | turner's hill mill tl 363 023 | none | 1822 | 1822 | 1861 |
| 5 | chipperfield | tl 037 014 | post | none | 1594 | 1594 |
| 6 | chipperfield | tl 037 014 | smock | 1822 | 1822 | 1881, gone by 1896 |
| 7 | chipping | approximately tl 350 319 | post | 1720 1728 | 1720 | 1728 |
| 8 | clothall | approximately tl 264 326 | post | none | 1370 | 1370 |
| 9 | codicote | codicote heath approximately tl 206 185 | smock | none | 1841 | 1855, gone by 1881 |
| 10 | colney heath | colney heath mill tl 205 055 | tower | none | 1854 | windmill world |
| 11 | cottered | none | post | none | 1581 | 1581 |
| 12 | cromer | none | none | none | 1192 | 1576 |
| 13 | cromer | cromer mill tl 304 286 | post | 1720 1728 1749 1766 1800 1822 | 1720 | windmill world |
| 14 | croxley green | croxley green mill tq 067 953 | tower | none | c. 1860 | windmill world | | | | type |
|---:|:-------|
| 0 | post | | [
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select abs ( venue - competition ) where competition = 'central american and caribbean games' col : year | competition | venue | position | event | notes row 1 : 1997 | central american games | san pedro sula, honduras | 2nd | 10,000 m | none row 2 : 2001 | central american and caribbean championships | guatemala city, guatemala | 6th | 5000 m | 14:57.04 row 3 : 2001 | central american and caribbean championships | guatemala city, guatemala | 3rd | 10,000 m | 30:53.52 row 4 : 2001 | central american games | guatemala city, guatemala | 1st | 5000 m | 14:28.91 a row 5 : 2001 | central american games | guatemala city, guatemala | 2nd | 10,000 m | 30:43.86 a row 6 : 2002 | central american championships | san jose, costa rica | 2nd | 5000 m | 14:30.14 row 7 : 2002 | central american championships | san jose, costa rica | 1st | 10,000 m | 30:05.31 row 8 : 2003 | central american championships | guatemala city, guatemala | 1st | 5000 m | 15:19.35 row 9 : 2003 | central american championships | guatemala city, guatemala | 1st | 10,000 m | 30:16.25 row 10 : 2003 | pan american games | santo domingo, dominican republic | none | 5000 m | dnf row 11 : 2003 | pan american games | santo domingo, dominican republic | 7th | 10,000 m | 30:26.61 row 12 : 2004 | olympic games | athens, greece | 64th | marathon | 2:27:13 row 13 : 2005 | central american championships | san jose, costa rica | 1st | 10,000 m | 30:11.54 row 14 : 2006 | ibero-american championships | ponce, puerto rico | 8th | 5000 m | 14:31.55 row 15 : 2006 | central american and caribbean games | cartagena, colombia | 6th | 5000 m | 14:27.54 row 16 : 2006 | central american and caribbean games | cartagena, colombia | 4th | 10,000 m | 30:09.31 row 17 : 2007 | central american championships | san jose, costa rica | 1st | 5000 m | 14:42.08 row 18 : 2007 | central american championships | san jose, costa rica | 1st | 10,000 m | 29:53.61 row 19 : 2007 | nacac championships | san salvador, el salvador | 1st | 5000 m | 14:33.31 row 20 : 2007 | nacac championships | san salvador, el salvador | 1st | 10,000 m | 29:42.11 row 21 : 2007 | pan american games | rio de janeiro, brazil | 2nd | marathon | 2:14:27 row 22 : 2008 | olympic games | beijing, pr china | 35th | marathon | 2:20:15 row 23 : 2009 | central american championships | guatemala city, guatemala | 1st | 5000 m | 14:55.44 row 24 : 2010 | central american and caribbean games | mayaguez, puerto rico | 1st | marathon | 2:21:35 row 25 : 2010 | central american championships | guatemala city, guatemala | 1st | 10,000 m | 32:06.26 row 26 : 2011 | pan american games | guadalajara, mexico | 5th | marathon | 2:20:27 sb row 27 : 2012 | olympic games | london, united kingdom | 38th | marathon | 2:18:23 | col : "abs ( venue - competition )" row 1 : abs ( venue - competition ) row 2 : abs ( venue - competition ) row 3 : abs ( venue - competition ) | select abs ( venue - competition ) where competition = 'central american and caribbean games' <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & competition & venue & position & event & notes \\
\midrule
0 & 1997 & central american games & san pedro sula, honduras & 2nd & 10,000 m & none \\
1 & 2001 & central american and caribbean championships & guatemala city, guatemala & 6th & 5000 m & 14:57.04 \\
2 & 2001 & central american and caribbean championships & guatemala city, guatemala & 3rd & 10,000 m & 30:53.52 \\
3 & 2001 & central american games & guatemala city, guatemala & 1st & 5000 m & 14:28.91 a \\
4 & 2001 & central american games & guatemala city, guatemala & 2nd & 10,000 m & 30:43.86 a \\
5 & 2002 & central american championships & san jose, costa rica & 2nd & 5000 m & 14:30.14 \\
6 & 2002 & central american championships & san jose, costa rica & 1st & 10,000 m & 30:05.31 \\
7 & 2003 & central american championships & guatemala city, guatemala & 1st & 5000 m & 15:19.35 \\
8 & 2003 & central american championships & guatemala city, guatemala & 1st & 10,000 m & 30:16.25 \\
9 & 2003 & pan american games & santo domingo, dominican republic & none & 5000 m & dnf \\
10 & 2003 & pan american games & santo domingo, dominican republic & 7th & 10,000 m & 30:26.61 \\
11 & 2004 & olympic games & athens, greece & 64th & marathon & 2:27:13 \\
12 & 2005 & central american championships & san jose, costa rica & 1st & 10,000 m & 30:11.54 \\
13 & 2006 & ibero-american championships & ponce, puerto rico & 8th & 5000 m & 14:31.55 \\
14 & 2006 & central american and caribbean games & cartagena, colombia & 6th & 5000 m & 14:27.54 \\
15 & 2006 & central american and caribbean games & cartagena, colombia & 4th & 10,000 m & 30:09.31 \\
16 & 2007 & central american championships & san jose, costa rica & 1st & 5000 m & 14:42.08 \\
17 & 2007 & central american championships & san jose, costa rica & 1st & 10,000 m & 29:53.61 \\
18 & 2007 & nacac championships & san salvador, el salvador & 1st & 5000 m & 14:33.31 \\
19 & 2007 & nacac championships & san salvador, el salvador & 1st & 10,000 m & 29:42.11 \\
20 & 2007 & pan american games & rio de janeiro, brazil & 2nd & marathon & 2:14:27 \\
21 & 2008 & olympic games & beijing, pr china & 35th & marathon & 2:20:15 \\
22 & 2009 & central american championships & guatemala city, guatemala & 1st & 5000 m & 14:55.44 \\
23 & 2010 & central american and caribbean games & mayaguez, puerto rico & 1st & marathon & 2:21:35 \\
24 & 2010 & central american championships & guatemala city, guatemala & 1st & 10,000 m & 32:06.26 \\
25 & 2011 & pan american games & guadalajara, mexico & 5th & marathon & 2:20:27 sb \\
26 & 2012 & olympic games & london, united kingdom & 38th & marathon & 2:18:23 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "abs ( venue - competition )" \\
\midrule
0 & abs ( venue - competition ) \\
1 & abs ( venue - competition ) \\
2 & abs ( venue - competition ) \\
\bottomrule
\end{tabular}
| select abs ( venue - competition ) where competition = 'central american and caribbean games' <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>event</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1997</td>
<td>central american games</td>
<td>san pedro sula, honduras</td>
<td>2nd</td>
<td>10,000 m</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>2001</td>
<td>central american and caribbean championships</td>
<td>guatemala city, guatemala</td>
<td>6th</td>
<td>5000 m</td>
<td>14:57.04</td>
</tr>
<tr>
<th>2</th>
<td>2001</td>
<td>central american and caribbean championships</td>
<td>guatemala city, guatemala</td>
<td>3rd</td>
<td>10,000 m</td>
<td>30:53.52</td>
</tr>
<tr>
<th>3</th>
<td>2001</td>
<td>central american games</td>
<td>guatemala city, guatemala</td>
<td>1st</td>
<td>5000 m</td>
<td>14:28.91 a</td>
</tr>
<tr>
<th>4</th>
<td>2001</td>
<td>central american games</td>
<td>guatemala city, guatemala</td>
<td>2nd</td>
<td>10,000 m</td>
<td>30:43.86 a</td>
</tr>
<tr>
<th>5</th>
<td>2002</td>
<td>central american championships</td>
<td>san jose, costa rica</td>
<td>2nd</td>
<td>5000 m</td>
<td>14:30.14</td>
</tr>
<tr>
<th>6</th>
<td>2002</td>
<td>central american championships</td>
<td>san jose, costa rica</td>
<td>1st</td>
<td>10,000 m</td>
<td>30:05.31</td>
</tr>
<tr>
<th>7</th>
<td>2003</td>
<td>central american championships</td>
<td>guatemala city, guatemala</td>
<td>1st</td>
<td>5000 m</td>
<td>15:19.35</td>
</tr>
<tr>
<th>8</th>
<td>2003</td>
<td>central american championships</td>
<td>guatemala city, guatemala</td>
<td>1st</td>
<td>10,000 m</td>
<td>30:16.25</td>
</tr>
<tr>
<th>9</th>
<td>2003</td>
<td>pan american games</td>
<td>santo domingo, dominican republic</td>
<td>none</td>
<td>5000 m</td>
<td>dnf</td>
</tr>
<tr>
<th>10</th>
<td>2003</td>
<td>pan american games</td>
<td>santo domingo, dominican republic</td>
<td>7th</td>
<td>10,000 m</td>
<td>30:26.61</td>
</tr>
<tr>
<th>11</th>
<td>2004</td>
<td>olympic games</td>
<td>athens, greece</td>
<td>64th</td>
<td>marathon</td>
<td>2:27:13</td>
</tr>
<tr>
<th>12</th>
<td>2005</td>
<td>central american championships</td>
<td>san jose, costa rica</td>
<td>1st</td>
<td>10,000 m</td>
<td>30:11.54</td>
</tr>
<tr>
<th>13</th>
<td>2006</td>
<td>ibero-american championships</td>
<td>ponce, puerto rico</td>
<td>8th</td>
<td>5000 m</td>
<td>14:31.55</td>
</tr>
<tr>
<th>14</th>
<td>2006</td>
<td>central american and caribbean games</td>
<td>cartagena, colombia</td>
<td>6th</td>
<td>5000 m</td>
<td>14:27.54</td>
</tr>
<tr>
<th>15</th>
<td>2006</td>
<td>central american and caribbean games</td>
<td>cartagena, colombia</td>
<td>4th</td>
<td>10,000 m</td>
<td>30:09.31</td>
</tr>
<tr>
<th>16</th>
<td>2007</td>
<td>central american championships</td>
<td>san jose, costa rica</td>
<td>1st</td>
<td>5000 m</td>
<td>14:42.08</td>
</tr>
<tr>
<th>17</th>
<td>2007</td>
<td>central american championships</td>
<td>san jose, costa rica</td>
<td>1st</td>
<td>10,000 m</td>
<td>29:53.61</td>
</tr>
<tr>
<th>18</th>
<td>2007</td>
<td>nacac championships</td>
<td>san salvador, el salvador</td>
<td>1st</td>
<td>5000 m</td>
<td>14:33.31</td>
</tr>
<tr>
<th>19</th>
<td>2007</td>
<td>nacac championships</td>
<td>san salvador, el salvador</td>
<td>1st</td>
<td>10,000 m</td>
<td>29:42.11</td>
</tr>
<tr>
<th>20</th>
<td>2007</td>
<td>pan american games</td>
<td>rio de janeiro, brazil</td>
<td>2nd</td>
<td>marathon</td>
<td>2:14:27</td>
</tr>
<tr>
<th>21</th>
<td>2008</td>
<td>olympic games</td>
<td>beijing, pr china</td>
<td>35th</td>
<td>marathon</td>
<td>2:20:15</td>
</tr>
<tr>
<th>22</th>
<td>2009</td>
<td>central american championships</td>
<td>guatemala city, guatemala</td>
<td>1st</td>
<td>5000 m</td>
<td>14:55.44</td>
</tr>
<tr>
<th>23</th>
<td>2010</td>
<td>central american and caribbean games</td>
<td>mayaguez, puerto rico</td>
<td>1st</td>
<td>marathon</td>
<td>2:21:35</td>
</tr>
<tr>
<th>24</th>
<td>2010</td>
<td>central american championships</td>
<td>guatemala city, guatemala</td>
<td>1st</td>
<td>10,000 m</td>
<td>32:06.26</td>
</tr>
<tr>
<th>25</th>
<td>2011</td>
<td>pan american games</td>
<td>guadalajara, mexico</td>
<td>5th</td>
<td>marathon</td>
<td>2:20:27 sb</td>
</tr>
<tr>
<th>26</th>
<td>2012</td>
<td>olympic games</td>
<td>london, united kingdom</td>
<td>38th</td>
<td>marathon</td>
<td>2:18:23</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"abs ( venue - competition )"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>abs ( venue - competition )</td>
</tr>
<tr>
<th>1</th>
<td>abs ( venue - competition )</td>
</tr>
<tr>
<th>2</th>
<td>abs ( venue - competition )</td>
</tr>
</tbody>
</table> | select abs ( venue - competition ) where competition = 'central american and caribbean games' <table_name> : table | | year | competition | venue | position | event | notes |
|---:|-------:|:---------------------------------------------|:----------------------------------|:-----------|:---------|:-----------|
| 0 | 1997 | central american games | san pedro sula, honduras | 2nd | 10,000 m | none |
| 1 | 2001 | central american and caribbean championships | guatemala city, guatemala | 6th | 5000 m | 14:57.04 |
| 2 | 2001 | central american and caribbean championships | guatemala city, guatemala | 3rd | 10,000 m | 30:53.52 |
| 3 | 2001 | central american games | guatemala city, guatemala | 1st | 5000 m | 14:28.91 a |
| 4 | 2001 | central american games | guatemala city, guatemala | 2nd | 10,000 m | 30:43.86 a |
| 5 | 2002 | central american championships | san jose, costa rica | 2nd | 5000 m | 14:30.14 |
| 6 | 2002 | central american championships | san jose, costa rica | 1st | 10,000 m | 30:05.31 |
| 7 | 2003 | central american championships | guatemala city, guatemala | 1st | 5000 m | 15:19.35 |
| 8 | 2003 | central american championships | guatemala city, guatemala | 1st | 10,000 m | 30:16.25 |
| 9 | 2003 | pan american games | santo domingo, dominican republic | none | 5000 m | dnf |
| 10 | 2003 | pan american games | santo domingo, dominican republic | 7th | 10,000 m | 30:26.61 |
| 11 | 2004 | olympic games | athens, greece | 64th | marathon | 2:27:13 |
| 12 | 2005 | central american championships | san jose, costa rica | 1st | 10,000 m | 30:11.54 |
| 13 | 2006 | ibero-american championships | ponce, puerto rico | 8th | 5000 m | 14:31.55 |
| 14 | 2006 | central american and caribbean games | cartagena, colombia | 6th | 5000 m | 14:27.54 |
| 15 | 2006 | central american and caribbean games | cartagena, colombia | 4th | 10,000 m | 30:09.31 |
| 16 | 2007 | central american championships | san jose, costa rica | 1st | 5000 m | 14:42.08 |
| 17 | 2007 | central american championships | san jose, costa rica | 1st | 10,000 m | 29:53.61 |
| 18 | 2007 | nacac championships | san salvador, el salvador | 1st | 5000 m | 14:33.31 |
| 19 | 2007 | nacac championships | san salvador, el salvador | 1st | 10,000 m | 29:42.11 |
| 20 | 2007 | pan american games | rio de janeiro, brazil | 2nd | marathon | 2:14:27 |
| 21 | 2008 | olympic games | beijing, pr china | 35th | marathon | 2:20:15 |
| 22 | 2009 | central american championships | guatemala city, guatemala | 1st | 5000 m | 14:55.44 |
| 23 | 2010 | central american and caribbean games | mayaguez, puerto rico | 1st | marathon | 2:21:35 |
| 24 | 2010 | central american championships | guatemala city, guatemala | 1st | 10,000 m | 32:06.26 |
| 25 | 2011 | pan american games | guadalajara, mexico | 5th | marathon | 2:20:27 sb |
| 26 | 2012 | olympic games | london, united kingdom | 38th | marathon | 2:18:23 | | | | "abs ( venue - competition )" |
|---:|:--------------------------------|
| 0 | abs ( venue - competition ) |
| 1 | abs ( venue - competition ) |
| 2 | abs ( venue - competition ) | | [
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]
] | [
[
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 ( nation ) where nation = 'gabon' col : rank | nation | gold | silver | bronze | total row 1 : 1 | united states | 5 | 6 | 5 | 16 row 2 : 2 | jamaica | 4 | 1 | 1 | 6 row 3 : 3 | netherlands | 2 | 0 | 0 | 2 row 4 : 4 | bahamas | 1 | 1 | 0 | 2 row 5 : 5 | ukraine | 1 | 0 | 1 | 2 row 6 : 6 | east germany | 1 | 0 | 0 | 1 row 7 : 6 | greece | 1 | 0 | 0 | 1 row 8 : 6 | soviet union | 1 | 0 | 0 | 1 row 9 : 9 | ivory coast | 0 | 2 | 0 | 2 row 10 : 9 | united kingdom | 0 | 2 | 0 | 2 row 11 : 11 | belgium | 0 | 1 | 1 | 2 row 12 : 12 | bulgaria | 0 | 1 | 0 | 1 row 13 : 12 | russia | 0 | 1 | 0 | 1 row 14 : 12 | germany | 0 | 1 | 0 | 1 row 15 : 15 | canada | 0 | 0 | 2 | 2 row 16 : 15 | france | 0 | 0 | 2 | 2 row 17 : 17 | belarus | 0 | 0 | 1 | 1 row 18 : 17 | cuba | 0 | 0 | 1 | 1 row 19 : 17 | gabon | 0 | 0 | 1 | 1 row 20 : 17 | british virgin islands | 0 | 0 | 1 | 1 row 21 : total | total | 16 | 16 | 16 | 48 | col : count ( "nation" ) row 1 : 1 | select count ( nation ) where nation = 'gabon' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & united states & 5 & 6 & 5 & 16 \\
1 & 2 & jamaica & 4 & 1 & 1 & 6 \\
2 & 3 & netherlands & 2 & 0 & 0 & 2 \\
3 & 4 & bahamas & 1 & 1 & 0 & 2 \\
4 & 5 & ukraine & 1 & 0 & 1 & 2 \\
5 & 6 & east germany & 1 & 0 & 0 & 1 \\
6 & 6 & greece & 1 & 0 & 0 & 1 \\
7 & 6 & soviet union & 1 & 0 & 0 & 1 \\
8 & 9 & ivory coast & 0 & 2 & 0 & 2 \\
9 & 9 & united kingdom & 0 & 2 & 0 & 2 \\
10 & 11 & belgium & 0 & 1 & 1 & 2 \\
11 & 12 & bulgaria & 0 & 1 & 0 & 1 \\
12 & 12 & russia & 0 & 1 & 0 & 1 \\
13 & 12 & germany & 0 & 1 & 0 & 1 \\
14 & 15 & canada & 0 & 0 & 2 & 2 \\
15 & 15 & france & 0 & 0 & 2 & 2 \\
16 & 17 & belarus & 0 & 0 & 1 & 1 \\
17 & 17 & cuba & 0 & 0 & 1 & 1 \\
18 & 17 & gabon & 0 & 0 & 1 & 1 \\
19 & 17 & british virgin islands & 0 & 0 & 1 & 1 \\
20 & total & total & 16 & 16 & 16 & 48 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "nation" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( nation ) where nation = 'gabon' <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>united states</td>
<td>5</td>
<td>6</td>
<td>5</td>
<td>16</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>jamaica</td>
<td>4</td>
<td>1</td>
<td>1</td>
<td>6</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>netherlands</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>bahamas</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>ukraine</td>
<td>1</td>
<td>0</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>east germany</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>6</th>
<td>6</td>
<td>greece</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>7</th>
<td>6</td>
<td>soviet union</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>ivory coast</td>
<td>0</td>
<td>2</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>9</th>
<td>9</td>
<td>united kingdom</td>
<td>0</td>
<td>2</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>belgium</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>bulgaria</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>12</td>
<td>russia</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>13</th>
<td>12</td>
<td>germany</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>canada</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>2</td>
</tr>
<tr>
<th>15</th>
<td>15</td>
<td>france</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>2</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>belarus</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>17</th>
<td>17</td>
<td>cuba</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>18</th>
<td>17</td>
<td>gabon</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>19</th>
<td>17</td>
<td>british virgin islands</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>20</th>
<td>total</td>
<td>total</td>
<td>16</td>
<td>16</td>
<td>16</td>
<td>48</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 = 'gabon' <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|:-------|:-----------------------|-------:|---------:|---------:|--------:|
| 0 | 1 | united states | 5 | 6 | 5 | 16 |
| 1 | 2 | jamaica | 4 | 1 | 1 | 6 |
| 2 | 3 | netherlands | 2 | 0 | 0 | 2 |
| 3 | 4 | bahamas | 1 | 1 | 0 | 2 |
| 4 | 5 | ukraine | 1 | 0 | 1 | 2 |
| 5 | 6 | east germany | 1 | 0 | 0 | 1 |
| 6 | 6 | greece | 1 | 0 | 0 | 1 |
| 7 | 6 | soviet union | 1 | 0 | 0 | 1 |
| 8 | 9 | ivory coast | 0 | 2 | 0 | 2 |
| 9 | 9 | united kingdom | 0 | 2 | 0 | 2 |
| 10 | 11 | belgium | 0 | 1 | 1 | 2 |
| 11 | 12 | bulgaria | 0 | 1 | 0 | 1 |
| 12 | 12 | russia | 0 | 1 | 0 | 1 |
| 13 | 12 | germany | 0 | 1 | 0 | 1 |
| 14 | 15 | canada | 0 | 0 | 2 | 2 |
| 15 | 15 | france | 0 | 0 | 2 | 2 |
| 16 | 17 | belarus | 0 | 0 | 1 | 1 |
| 17 | 17 | cuba | 0 | 0 | 1 | 1 |
| 18 | 17 | gabon | 0 | 0 | 1 | 1 |
| 19 | 17 | british virgin islands | 0 | 0 | 1 | 1 |
| 20 | total | total | 16 | 16 | 16 | 48 | | | | count ( "nation" ) |
|---:|---------------------:|
| 0 | 1 | | [
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select joined where location = 'columbia, south carolina' col : institution | location | founded | type | enrollment | joined | nickname row 1 : bryan college | dayton, tennessee | 1930 | private (non-denominational) | 1044 | 2001 | lions row 2 : columbia college | columbia, south carolina | 1854 | private (methodist) | 1200 | 2011 | fighting koalas row 3 : milligan college | elizabethton, tennessee | 1866 | private (disciples of christ) | 1006 | 2001 | buffaloes row 4 : montreat college | montreat, north carolina | 1916 | private (presbyterian) | 1145 | 2001 | cavaliers row 5 : point university | west point, georgia | 1937 | private (christian churches and churches of christ) | 1000 | 2011 | skyhawks row 6 : reinhardt university | waleska, georgia | 1883 | private (methodist) | 1057 | 2009 | eagles row 7 : st. andrews university | laurinburg, north carolina | 1958 | private | 800 | 2012 | knights row 8 : savannah college of art and design at atlanta | atlanta, georgia | 2005 | private | 2000 | 2012 | bees row 9 : tennessee wesleyan college | athens, tennessee | 1857 | private (methodist) | 1103 | 2001 | bulldogs row 10 : truett-mcconnell college | cleveland, georgia | 1946 | private/christian (baptist) | 550 | 2013 | bears row 11 : union college | barbourville, kentucky | 1879 | private/christian (methodist) | 1368 | 2001 | bulldogs row 12 : virginia intermont college | bristol, virginia | 1884 | private/christian (baptist) | 916 | 2001 | cobras | col : joined row 1 : 2011 | select joined where location = 'columbia, south carolina' <table_name> : table \begin{tabular}{llllllll}
\toprule
& institution & location & founded & type & enrollment & joined & nickname \\
\midrule
0 & bryan college & dayton, tennessee & 1930 & private (non-denominational) & 1044 & 2001 & lions \\
1 & columbia college & columbia, south carolina & 1854 & private (methodist) & 1200 & 2011 & fighting koalas \\
2 & milligan college & elizabethton, tennessee & 1866 & private (disciples of christ) & 1006 & 2001 & buffaloes \\
3 & montreat college & montreat, north carolina & 1916 & private (presbyterian) & 1145 & 2001 & cavaliers \\
4 & point university & west point, georgia & 1937 & private (christian churches and churches of christ) & 1000 & 2011 & skyhawks \\
5 & reinhardt university & waleska, georgia & 1883 & private (methodist) & 1057 & 2009 & eagles \\
6 & st. andrews university & laurinburg, north carolina & 1958 & private & 800 & 2012 & knights \\
7 & savannah college of art and design at atlanta & atlanta, georgia & 2005 & private & 2000 & 2012 & bees \\
8 & tennessee wesleyan college & athens, tennessee & 1857 & private (methodist) & 1103 & 2001 & bulldogs \\
9 & truett-mcconnell college & cleveland, georgia & 1946 & private/christian (baptist) & 550 & 2013 & bears \\
10 & union college & barbourville, kentucky & 1879 & private/christian (methodist) & 1368 & 2001 & bulldogs \\
11 & virginia intermont college & bristol, virginia & 1884 & private/christian (baptist) & 916 & 2001 & cobras \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& joined \\
\midrule
0 & 2011 \\
\bottomrule
\end{tabular}
| select joined where location = 'columbia, south carolina' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>institution</th>
<th>location</th>
<th>founded</th>
<th>type</th>
<th>enrollment</th>
<th>joined</th>
<th>nickname</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>bryan college</td>
<td>dayton, tennessee</td>
<td>1930</td>
<td>private (non-denominational)</td>
<td>1044</td>
<td>2001</td>
<td>lions</td>
</tr>
<tr>
<th>1</th>
<td>columbia college</td>
<td>columbia, south carolina</td>
<td>1854</td>
<td>private (methodist)</td>
<td>1200</td>
<td>2011</td>
<td>fighting koalas</td>
</tr>
<tr>
<th>2</th>
<td>milligan college</td>
<td>elizabethton, tennessee</td>
<td>1866</td>
<td>private (disciples of christ)</td>
<td>1006</td>
<td>2001</td>
<td>buffaloes</td>
</tr>
<tr>
<th>3</th>
<td>montreat college</td>
<td>montreat, north carolina</td>
<td>1916</td>
<td>private (presbyterian)</td>
<td>1145</td>
<td>2001</td>
<td>cavaliers</td>
</tr>
<tr>
<th>4</th>
<td>point university</td>
<td>west point, georgia</td>
<td>1937</td>
<td>private (christian churches and churches of christ)</td>
<td>1000</td>
<td>2011</td>
<td>skyhawks</td>
</tr>
<tr>
<th>5</th>
<td>reinhardt university</td>
<td>waleska, georgia</td>
<td>1883</td>
<td>private (methodist)</td>
<td>1057</td>
<td>2009</td>
<td>eagles</td>
</tr>
<tr>
<th>6</th>
<td>st. andrews university</td>
<td>laurinburg, north carolina</td>
<td>1958</td>
<td>private</td>
<td>800</td>
<td>2012</td>
<td>knights</td>
</tr>
<tr>
<th>7</th>
<td>savannah college of art and design at atlanta</td>
<td>atlanta, georgia</td>
<td>2005</td>
<td>private</td>
<td>2000</td>
<td>2012</td>
<td>bees</td>
</tr>
<tr>
<th>8</th>
<td>tennessee wesleyan college</td>
<td>athens, tennessee</td>
<td>1857</td>
<td>private (methodist)</td>
<td>1103</td>
<td>2001</td>
<td>bulldogs</td>
</tr>
<tr>
<th>9</th>
<td>truett-mcconnell college</td>
<td>cleveland, georgia</td>
<td>1946</td>
<td>private/christian (baptist)</td>
<td>550</td>
<td>2013</td>
<td>bears</td>
</tr>
<tr>
<th>10</th>
<td>union college</td>
<td>barbourville, kentucky</td>
<td>1879</td>
<td>private/christian (methodist)</td>
<td>1368</td>
<td>2001</td>
<td>bulldogs</td>
</tr>
<tr>
<th>11</th>
<td>virginia intermont college</td>
<td>bristol, virginia</td>
<td>1884</td>
<td>private/christian (baptist)</td>
<td>916</td>
<td>2001</td>
<td>cobras</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>joined</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2011</td>
</tr>
</tbody>
</table> | select joined where location = 'columbia, south carolina' <table_name> : table | | institution | location | founded | type | enrollment | joined | nickname |
|---:|:----------------------------------------------|:---------------------------|----------:|:----------------------------------------------------|-------------:|---------:|:----------------|
| 0 | bryan college | dayton, tennessee | 1930 | private (non-denominational) | 1044 | 2001 | lions |
| 1 | columbia college | columbia, south carolina | 1854 | private (methodist) | 1200 | 2011 | fighting koalas |
| 2 | milligan college | elizabethton, tennessee | 1866 | private (disciples of christ) | 1006 | 2001 | buffaloes |
| 3 | montreat college | montreat, north carolina | 1916 | private (presbyterian) | 1145 | 2001 | cavaliers |
| 4 | point university | west point, georgia | 1937 | private (christian churches and churches of christ) | 1000 | 2011 | skyhawks |
| 5 | reinhardt university | waleska, georgia | 1883 | private (methodist) | 1057 | 2009 | eagles |
| 6 | st. andrews university | laurinburg, north carolina | 1958 | private | 800 | 2012 | knights |
| 7 | savannah college of art and design at atlanta | atlanta, georgia | 2005 | private | 2000 | 2012 | bees |
| 8 | tennessee wesleyan college | athens, tennessee | 1857 | private (methodist) | 1103 | 2001 | bulldogs |
| 9 | truett-mcconnell college | cleveland, georgia | 1946 | private/christian (baptist) | 550 | 2013 | bears |
| 10 | union college | barbourville, kentucky | 1879 | private/christian (methodist) | 1368 | 2001 | bulldogs |
| 11 | virginia intermont college | bristol, virginia | 1884 | private/christian (baptist) | 916 | 2001 | cobras | | | | joined |
|---:|---------:|
| 0 | 2011 | | [
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select count ( * ) where season = '2010-11 serie a' col : season | average | high | low | season tickets row 1 : 2001-02 serie a | 17956 | 27498 | 14704 | 12156 row 2 : 2002-03 serie a | 16306 | 25603 | 12980 | 11544 row 3 : 2003-04 serie a | 15904 | 23663 | 11463 | 10439 row 4 : 2004-05 serie a | 14044 | 23010 | 10711 | 9923 row 5 : 2005-06 serie a | 14372 | 23116 | 11575 | 10639 row 6 : 2006-07 serie a | 14644 | 20488 | 11946 | 11120 row 7 : 2007-08 serie a | 15427 | 25149 | 11890 | 11386 row 8 : 2008-09 serie b | 10031 | 12265 | 9261 | none row 9 : 2009-10 serie a | 17061 | 21323 | 11870 | 13691 row 10 : 2010-11 serie a | 14524 | 19615 | 11975 | 10578 row 11 : 2011-12 serie a | 13646 | 19481 | 10800 | 9620 row 12 : 2012-13 serie a | 12740 | 19073 | 9627 | 10546 | col : count ( "*" ) row 1 : 1 | select count ( * ) where season = '2010-11 serie a' <table_name> : table \begin{tabular}{llllll}
\toprule
& season & average & high & low & season tickets \\
\midrule
0 & 2001-02 serie a & 17956 & 27498 & 14704 & 12156 \\
1 & 2002-03 serie a & 16306 & 25603 & 12980 & 11544 \\
2 & 2003-04 serie a & 15904 & 23663 & 11463 & 10439 \\
3 & 2004-05 serie a & 14044 & 23010 & 10711 & 9923 \\
4 & 2005-06 serie a & 14372 & 23116 & 11575 & 10639 \\
5 & 2006-07 serie a & 14644 & 20488 & 11946 & 11120 \\
6 & 2007-08 serie a & 15427 & 25149 & 11890 & 11386 \\
7 & 2008-09 serie b & 10031 & 12265 & 9261 & none \\
8 & 2009-10 serie a & 17061 & 21323 & 11870 & 13691 \\
9 & 2010-11 serie a & 14524 & 19615 & 11975 & 10578 \\
10 & 2011-12 serie a & 13646 & 19481 & 10800 & 9620 \\
11 & 2012-13 serie a & 12740 & 19073 & 9627 & 10546 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where season = '2010-11 serie a' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
<th>average</th>
<th>high</th>
<th>low</th>
<th>season tickets</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2001-02 serie a</td>
<td>17956</td>
<td>27498</td>
<td>14704</td>
<td>12156</td>
</tr>
<tr>
<th>1</th>
<td>2002-03 serie a</td>
<td>16306</td>
<td>25603</td>
<td>12980</td>
<td>11544</td>
</tr>
<tr>
<th>2</th>
<td>2003-04 serie a</td>
<td>15904</td>
<td>23663</td>
<td>11463</td>
<td>10439</td>
</tr>
<tr>
<th>3</th>
<td>2004-05 serie a</td>
<td>14044</td>
<td>23010</td>
<td>10711</td>
<td>9923</td>
</tr>
<tr>
<th>4</th>
<td>2005-06 serie a</td>
<td>14372</td>
<td>23116</td>
<td>11575</td>
<td>10639</td>
</tr>
<tr>
<th>5</th>
<td>2006-07 serie a</td>
<td>14644</td>
<td>20488</td>
<td>11946</td>
<td>11120</td>
</tr>
<tr>
<th>6</th>
<td>2007-08 serie a</td>
<td>15427</td>
<td>25149</td>
<td>11890</td>
<td>11386</td>
</tr>
<tr>
<th>7</th>
<td>2008-09 serie b</td>
<td>10031</td>
<td>12265</td>
<td>9261</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>2009-10 serie a</td>
<td>17061</td>
<td>21323</td>
<td>11870</td>
<td>13691</td>
</tr>
<tr>
<th>9</th>
<td>2010-11 serie a</td>
<td>14524</td>
<td>19615</td>
<td>11975</td>
<td>10578</td>
</tr>
<tr>
<th>10</th>
<td>2011-12 serie a</td>
<td>13646</td>
<td>19481</td>
<td>10800</td>
<td>9620</td>
</tr>
<tr>
<th>11</th>
<td>2012-13 serie a</td>
<td>12740</td>
<td>19073</td>
<td>9627</td>
<td>10546</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 season = '2010-11 serie a' <table_name> : table | | season | average | high | low | season tickets |
|---:|:----------------|----------:|-------:|------:|:-----------------|
| 0 | 2001-02 serie a | 17956 | 27498 | 14704 | 12156 |
| 1 | 2002-03 serie a | 16306 | 25603 | 12980 | 11544 |
| 2 | 2003-04 serie a | 15904 | 23663 | 11463 | 10439 |
| 3 | 2004-05 serie a | 14044 | 23010 | 10711 | 9923 |
| 4 | 2005-06 serie a | 14372 | 23116 | 11575 | 10639 |
| 5 | 2006-07 serie a | 14644 | 20488 | 11946 | 11120 |
| 6 | 2007-08 serie a | 15427 | 25149 | 11890 | 11386 |
| 7 | 2008-09 serie b | 10031 | 12265 | 9261 | none |
| 8 | 2009-10 serie a | 17061 | 21323 | 11870 | 13691 |
| 9 | 2010-11 serie a | 14524 | 19615 | 11975 | 10578 |
| 10 | 2011-12 serie a | 13646 | 19481 | 10800 | 9620 |
| 11 | 2012-13 serie a | 12740 | 19073 | 9627 | 10546 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( left office ) where party leader = 'joe clark peter mackay' 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 ( "left office" ) row 1 : 1 | select count ( left office ) where party leader = 'joe clark peter mackay' <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 ( "left office" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( left office ) where party leader = 'joe clark peter mackay' <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 ( "left office" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( left office ) where party leader = 'joe clark peter mackay' <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 ( "left office" ) |
|---:|--------------------------:|
| 0 | 1 | | [
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select score where to par > -7 order by id limit 1863 col : # | player | country | score | to par | money ($) row 1 : 1 | shirley englehorn | united states | 70-70-75-70=285 | -7 | 4,500 row 2 : 2 | kathy whitworth | united states | 69-71-73-72=285 | -7 | 3,410 row 3 : 3 | sandra palmer | united states | 73-72-73-70=288 | -4 | 2,600 row 4 : 4 | murle breer | united states | 75-71-70-74=290 | -2 | 2,150 row 5 : 5 | sharon miller | united states | 74-74-72-71=291 | -1 | 1,800 row 6 : t6 | joanne carner | united states | 71-76-70-75=292 | e | 1,400 row 7 : t6 | sandra haynie | united states | 73-72-72-75=292 | e | 1,400 row 8 : t8 | gerda boykin | west germany | 73-73-73-74=293 | +1 | 1,050 row 9 : t8 | sharron moran | united states | 73-71-75-74=293 | +1 | 1,050 row 10 : t8 | marilynn smith | united states | 74-69-73-77=293 | +1 | 1,050 | col : score row 1 : 71-76-70-75=292 row 2 : 73-72-72-75=292 | select score where to par > -7 order by id limit 1863 <table_name> : table \begin{tabular}{lllllll}
\toprule
& # & player & country & score & to par & money ($) \\
\midrule
0 & 1 & shirley englehorn & united states & 70-70-75-70=285 & -7 & 4,500 \\
1 & 2 & kathy whitworth & united states & 69-71-73-72=285 & -7 & 3,410 \\
2 & 3 & sandra palmer & united states & 73-72-73-70=288 & -4 & 2,600 \\
3 & 4 & murle breer & united states & 75-71-70-74=290 & -2 & 2,150 \\
4 & 5 & sharon miller & united states & 74-74-72-71=291 & -1 & 1,800 \\
5 & t6 & joanne carner & united states & 71-76-70-75=292 & e & 1,400 \\
6 & t6 & sandra haynie & united states & 73-72-72-75=292 & e & 1,400 \\
7 & t8 & gerda boykin & west germany & 73-73-73-74=293 & +1 & 1,050 \\
8 & t8 & sharron moran & united states & 73-71-75-74=293 & +1 & 1,050 \\
9 & t8 & marilynn smith & united states & 74-69-73-77=293 & +1 & 1,050 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& score \\
\midrule
0 & 71-76-70-75=292 \\
1 & 73-72-72-75=292 \\
\bottomrule
\end{tabular}
| select score where to par > -7 order by id limit 1863 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>player</th>
<th>country</th>
<th>score</th>
<th>to par</th>
<th>money ($)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>shirley englehorn</td>
<td>united states</td>
<td>70-70-75-70=285</td>
<td>-7</td>
<td>4,500</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>kathy whitworth</td>
<td>united states</td>
<td>69-71-73-72=285</td>
<td>-7</td>
<td>3,410</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>sandra palmer</td>
<td>united states</td>
<td>73-72-73-70=288</td>
<td>-4</td>
<td>2,600</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>murle breer</td>
<td>united states</td>
<td>75-71-70-74=290</td>
<td>-2</td>
<td>2,150</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>sharon miller</td>
<td>united states</td>
<td>74-74-72-71=291</td>
<td>-1</td>
<td>1,800</td>
</tr>
<tr>
<th>5</th>
<td>t6</td>
<td>joanne carner</td>
<td>united states</td>
<td>71-76-70-75=292</td>
<td>e</td>
<td>1,400</td>
</tr>
<tr>
<th>6</th>
<td>t6</td>
<td>sandra haynie</td>
<td>united states</td>
<td>73-72-72-75=292</td>
<td>e</td>
<td>1,400</td>
</tr>
<tr>
<th>7</th>
<td>t8</td>
<td>gerda boykin</td>
<td>west germany</td>
<td>73-73-73-74=293</td>
<td>+1</td>
<td>1,050</td>
</tr>
<tr>
<th>8</th>
<td>t8</td>
<td>sharron moran</td>
<td>united states</td>
<td>73-71-75-74=293</td>
<td>+1</td>
<td>1,050</td>
</tr>
<tr>
<th>9</th>
<td>t8</td>
<td>marilynn smith</td>
<td>united states</td>
<td>74-69-73-77=293</td>
<td>+1</td>
<td>1,050</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>score</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>71-76-70-75=292</td>
</tr>
<tr>
<th>1</th>
<td>73-72-72-75=292</td>
</tr>
</tbody>
</table> | select score where to par > -7 order by id limit 1863 <table_name> : table | | # | player | country | score | to par | money ($) |
|---:|:----|:------------------|:--------------|:----------------|:---------|:------------|
| 0 | 1 | shirley englehorn | united states | 70-70-75-70=285 | -7 | 4,500 |
| 1 | 2 | kathy whitworth | united states | 69-71-73-72=285 | -7 | 3,410 |
| 2 | 3 | sandra palmer | united states | 73-72-73-70=288 | -4 | 2,600 |
| 3 | 4 | murle breer | united states | 75-71-70-74=290 | -2 | 2,150 |
| 4 | 5 | sharon miller | united states | 74-74-72-71=291 | -1 | 1,800 |
| 5 | t6 | joanne carner | united states | 71-76-70-75=292 | e | 1,400 |
| 6 | t6 | sandra haynie | united states | 73-72-72-75=292 | e | 1,400 |
| 7 | t8 | gerda boykin | west germany | 73-73-73-74=293 | +1 | 1,050 |
| 8 | t8 | sharron moran | united states | 73-71-75-74=293 | +1 | 1,050 |
| 9 | t8 | marilynn smith | united states | 74-69-73-77=293 | +1 | 1,050 | | | | score |
|---:|:----------------|
| 0 | 71-76-70-75=292 |
| 1 | 73-72-72-75=292 | | [
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select ( select count ( language ) where chimore municipality = 424 ) - ( select count ( language ) where chimore municipality = 965 ) col : language | totora municipality | pojo municipality | pocona municipality | chimore municipality | puerto villarroel municipality | entre rios municipality row 1 : quechua | 11671 | 10203 | 12482 | 9596 | 29940 | 14789 row 2 : aymara | 72 | 74 | 39 | 965 | 1590 | 907 row 3 : guarani | 7 | 9 | 3 | 19 | 39 | 41 row 4 : another native | 16 | 9 | 6 | 424 | 235 | 27 row 5 : spanish | 4967 | 4991 | 4954 | 11530 | 29377 | 17164 row 6 : foreign | 32 | 15 | 22 | 128 | 199 | 142 row 7 : only native | 7060 | 5623 | 7706 | 2518 | 8131 | 3207 row 8 : native and spanish | 4645 | 4598 | 4790 | 7811 | 22426 | 11864 row 9 : only spanish | 322 | 393 | 166 | 3726 | 6956 | 5314 | col : count ( "select count ( language" ) row 1 : 0 | select ( select count ( language ) where chimore municipality = 424 ) - ( select count ( language ) where chimore municipality = 965 ) <table_name> : table \begin{tabular}{llllllll}
\toprule
& language & totora municipality & pojo municipality & pocona municipality & chimore municipality & puerto villarroel municipality & entre rios municipality \\
\midrule
0 & quechua & 11671 & 10203 & 12482 & 9596 & 29940 & 14789 \\
1 & aymara & 72 & 74 & 39 & 965 & 1590 & 907 \\
2 & guarani & 7 & 9 & 3 & 19 & 39 & 41 \\
3 & another native & 16 & 9 & 6 & 424 & 235 & 27 \\
4 & spanish & 4967 & 4991 & 4954 & 11530 & 29377 & 17164 \\
5 & foreign & 32 & 15 & 22 & 128 & 199 & 142 \\
6 & only native & 7060 & 5623 & 7706 & 2518 & 8131 & 3207 \\
7 & native and spanish & 4645 & 4598 & 4790 & 7811 & 22426 & 11864 \\
8 & only spanish & 322 & 393 & 166 & 3726 & 6956 & 5314 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "select count ( language" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select ( select count ( language ) where chimore municipality = 424 ) - ( select count ( language ) where chimore municipality = 965 ) <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>language</th>
<th>totora municipality</th>
<th>pojo municipality</th>
<th>pocona municipality</th>
<th>chimore municipality</th>
<th>puerto villarroel municipality</th>
<th>entre rios municipality</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>quechua</td>
<td>11671</td>
<td>10203</td>
<td>12482</td>
<td>9596</td>
<td>29940</td>
<td>14789</td>
</tr>
<tr>
<th>1</th>
<td>aymara</td>
<td>72</td>
<td>74</td>
<td>39</td>
<td>965</td>
<td>1590</td>
<td>907</td>
</tr>
<tr>
<th>2</th>
<td>guarani</td>
<td>7</td>
<td>9</td>
<td>3</td>
<td>19</td>
<td>39</td>
<td>41</td>
</tr>
<tr>
<th>3</th>
<td>another native</td>
<td>16</td>
<td>9</td>
<td>6</td>
<td>424</td>
<td>235</td>
<td>27</td>
</tr>
<tr>
<th>4</th>
<td>spanish</td>
<td>4967</td>
<td>4991</td>
<td>4954</td>
<td>11530</td>
<td>29377</td>
<td>17164</td>
</tr>
<tr>
<th>5</th>
<td>foreign</td>
<td>32</td>
<td>15</td>
<td>22</td>
<td>128</td>
<td>199</td>
<td>142</td>
</tr>
<tr>
<th>6</th>
<td>only native</td>
<td>7060</td>
<td>5623</td>
<td>7706</td>
<td>2518</td>
<td>8131</td>
<td>3207</td>
</tr>
<tr>
<th>7</th>
<td>native and spanish</td>
<td>4645</td>
<td>4598</td>
<td>4790</td>
<td>7811</td>
<td>22426</td>
<td>11864</td>
</tr>
<tr>
<th>8</th>
<td>only spanish</td>
<td>322</td>
<td>393</td>
<td>166</td>
<td>3726</td>
<td>6956</td>
<td>5314</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "select count ( language" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select ( select count ( language ) where chimore municipality = 424 ) - ( select count ( language ) where chimore municipality = 965 ) <table_name> : table | | language | totora municipality | pojo municipality | pocona municipality | chimore municipality | puerto villarroel municipality | entre rios municipality |
|---:|:-------------------|----------------------:|--------------------:|----------------------:|-----------------------:|---------------------------------:|--------------------------:|
| 0 | quechua | 11671 | 10203 | 12482 | 9596 | 29940 | 14789 |
| 1 | aymara | 72 | 74 | 39 | 965 | 1590 | 907 |
| 2 | guarani | 7 | 9 | 3 | 19 | 39 | 41 |
| 3 | another native | 16 | 9 | 6 | 424 | 235 | 27 |
| 4 | spanish | 4967 | 4991 | 4954 | 11530 | 29377 | 17164 |
| 5 | foreign | 32 | 15 | 22 | 128 | 199 | 142 |
| 6 | only native | 7060 | 5623 | 7706 | 2518 | 8131 | 3207 |
| 7 | native and spanish | 4645 | 4598 | 4790 | 7811 | 22426 | 11864 |
| 8 | only spanish | 322 | 393 | 166 | 3726 | 6956 | 5314 | | | | count ( "select count ( language" ) |
|---:|--------------------------------------:|
| 0 | 0 | | [
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select count ( * ) where date = '10 february 2007' col : goal | date | venue | opponent | score | result | competition row 1 : 1 | 2007-01-24 00:00:00 | estadio cuscatlan, san salvador, el salvador | denmark | 1-0 | 1-0 | friendly row 2 : 2 | 2007-02-08 00:00:00 | estadio cuscatlan, san salvador, el salvador | belize | 2-0 | 2-1 | 2007 uncaf nations cup row 3 : 3 | 2007-02-10 00:00:00 | estadio cuscatlan, san salvador, el salvador | nicaragua | 1-0 | 2-1 | 2007 uncaf nations cup row 4 : 4 | 2007-02-10 00:00:00 | estadio cuscatlan, san salvador, el salvador | nicaragua | 2-1 | 2-1 | 2007 uncaf nations cup row 5 : 5 | 2007-09-08 00:00:00 | estadio olimpico atahualpa, quito, ecuador | ecuador | 1-2 | 1-5 | friendly row 6 : 6 | 2007-10-13 00:00:00 | estadio cuscatlan, san salvador, el salvador | costa rica | 1-2 | 2-2 | friendly row 7 : 7 | 2008-02-06 00:00:00 | estadio cuscatlan, san salvador, el salvador | anguilla | 9-0 | 12-0 | 2010 fifa world cup qualification row 8 : 8 | 2008-06-22 00:00:00 | estadio cuscatlan, san salvador, el salvador | panama | 1-1 | 3-1 | 2010 fifa world cup qualification row 9 : 9 | 2008-06-22 00:00:00 | estadio cuscatlan, san salvador, el salvador | panama | 2-1 | 3-1 | 2010 fifa world cup qualification row 10 : 10 | 2008-10-15 00:00:00 | estadio cuscatlan, san salvador, el salvador | suriname | 2-0 | 3-0 | 2010 fifa world cup qualification row 11 : 11 | 2008-10-22 00:00:00 | robert f. kennedy stadium, washington, d.c., united states | bolivia | 1-0 | 2-0 | friendly row 12 : 12 | 2009-03-28 00:00:00 | estadio cuscatlan, san salvador, el salvador | united states | 1-0 | 2-2 | 2010 fifa world cup qualification row 13 : 13 | 2009-06-06 00:00:00 | estadio cuscatlan, san salvador, el salvador | mexico | 2-1 | 2-1 | 2010 fifa world cup qualification row 14 : 14 | 2010-03-03 00:00:00 | los angeles coliseum, los angeles, united states | guatemala | 2-1 | 2-1 | friendly row 15 : 15 | 2011-06-12 00:00:00 | soldier field, chicago, united states | cuba | 6-1 | 6-1 | 2011 concacaf gold cup | col : count ( "*" ) row 1 : 2 | select count ( * ) where date = '10 february 2007' <table_name> : table \begin{tabular}{llllllll}
\toprule
& goal & date & venue & opponent & score & result & competition \\
\midrule
0 & 1 & 2007-01-24 00:00:00 & estadio cuscatlan, san salvador, el salvador & denmark & 1-0 & 1-0 & friendly \\
1 & 2 & 2007-02-08 00:00:00 & estadio cuscatlan, san salvador, el salvador & belize & 2-0 & 2-1 & 2007 uncaf nations cup \\
2 & 3 & 2007-02-10 00:00:00 & estadio cuscatlan, san salvador, el salvador & nicaragua & 1-0 & 2-1 & 2007 uncaf nations cup \\
3 & 4 & 2007-02-10 00:00:00 & estadio cuscatlan, san salvador, el salvador & nicaragua & 2-1 & 2-1 & 2007 uncaf nations cup \\
4 & 5 & 2007-09-08 00:00:00 & estadio olimpico atahualpa, quito, ecuador & ecuador & 1-2 & 1-5 & friendly \\
5 & 6 & 2007-10-13 00:00:00 & estadio cuscatlan, san salvador, el salvador & costa rica & 1-2 & 2-2 & friendly \\
6 & 7 & 2008-02-06 00:00:00 & estadio cuscatlan, san salvador, el salvador & anguilla & 9-0 & 12-0 & 2010 fifa world cup qualification \\
7 & 8 & 2008-06-22 00:00:00 & estadio cuscatlan, san salvador, el salvador & panama & 1-1 & 3-1 & 2010 fifa world cup qualification \\
8 & 9 & 2008-06-22 00:00:00 & estadio cuscatlan, san salvador, el salvador & panama & 2-1 & 3-1 & 2010 fifa world cup qualification \\
9 & 10 & 2008-10-15 00:00:00 & estadio cuscatlan, san salvador, el salvador & suriname & 2-0 & 3-0 & 2010 fifa world cup qualification \\
10 & 11 & 2008-10-22 00:00:00 & robert f. kennedy stadium, washington, d.c., united states & bolivia & 1-0 & 2-0 & friendly \\
11 & 12 & 2009-03-28 00:00:00 & estadio cuscatlan, san salvador, el salvador & united states & 1-0 & 2-2 & 2010 fifa world cup qualification \\
12 & 13 & 2009-06-06 00:00:00 & estadio cuscatlan, san salvador, el salvador & mexico & 2-1 & 2-1 & 2010 fifa world cup qualification \\
13 & 14 & 2010-03-03 00:00:00 & los angeles coliseum, los angeles, united states & guatemala & 2-1 & 2-1 & friendly \\
14 & 15 & 2011-06-12 00:00:00 & soldier field, chicago, united states & cuba & 6-1 & 6-1 & 2011 concacaf gold cup \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select count ( * ) where date = '10 february 2007' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>goal</th>
<th>date</th>
<th>venue</th>
<th>opponent</th>
<th>score</th>
<th>result</th>
<th>competition</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>2007-01-24 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>denmark</td>
<td>1-0</td>
<td>1-0</td>
<td>friendly</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>2007-02-08 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>belize</td>
<td>2-0</td>
<td>2-1</td>
<td>2007 uncaf nations cup</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>2007-02-10 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>nicaragua</td>
<td>1-0</td>
<td>2-1</td>
<td>2007 uncaf nations cup</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2007-02-10 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>nicaragua</td>
<td>2-1</td>
<td>2-1</td>
<td>2007 uncaf nations cup</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>2007-09-08 00:00:00</td>
<td>estadio olimpico atahualpa, quito, ecuador</td>
<td>ecuador</td>
<td>1-2</td>
<td>1-5</td>
<td>friendly</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>2007-10-13 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>costa rica</td>
<td>1-2</td>
<td>2-2</td>
<td>friendly</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>2008-02-06 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>anguilla</td>
<td>9-0</td>
<td>12-0</td>
<td>2010 fifa world cup qualification</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>2008-06-22 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>panama</td>
<td>1-1</td>
<td>3-1</td>
<td>2010 fifa world cup qualification</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>2008-06-22 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>panama</td>
<td>2-1</td>
<td>3-1</td>
<td>2010 fifa world cup qualification</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>2008-10-15 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>suriname</td>
<td>2-0</td>
<td>3-0</td>
<td>2010 fifa world cup qualification</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>2008-10-22 00:00:00</td>
<td>robert f. kennedy stadium, washington, d.c., united states</td>
<td>bolivia</td>
<td>1-0</td>
<td>2-0</td>
<td>friendly</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>2009-03-28 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>united states</td>
<td>1-0</td>
<td>2-2</td>
<td>2010 fifa world cup qualification</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>2009-06-06 00:00:00</td>
<td>estadio cuscatlan, san salvador, el salvador</td>
<td>mexico</td>
<td>2-1</td>
<td>2-1</td>
<td>2010 fifa world cup qualification</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>2010-03-03 00:00:00</td>
<td>los angeles coliseum, los angeles, united states</td>
<td>guatemala</td>
<td>2-1</td>
<td>2-1</td>
<td>friendly</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>2011-06-12 00:00:00</td>
<td>soldier field, chicago, united states</td>
<td>cuba</td>
<td>6-1</td>
<td>6-1</td>
<td>2011 concacaf gold cup</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 date = '10 february 2007' <table_name> : table | | goal | date | venue | opponent | score | result | competition |
|---:|-------:|:--------------------|:-----------------------------------------------------------|:--------------|:--------|:---------|:----------------------------------|
| 0 | 1 | 2007-01-24 00:00:00 | estadio cuscatlan, san salvador, el salvador | denmark | 1-0 | 1-0 | friendly |
| 1 | 2 | 2007-02-08 00:00:00 | estadio cuscatlan, san salvador, el salvador | belize | 2-0 | 2-1 | 2007 uncaf nations cup |
| 2 | 3 | 2007-02-10 00:00:00 | estadio cuscatlan, san salvador, el salvador | nicaragua | 1-0 | 2-1 | 2007 uncaf nations cup |
| 3 | 4 | 2007-02-10 00:00:00 | estadio cuscatlan, san salvador, el salvador | nicaragua | 2-1 | 2-1 | 2007 uncaf nations cup |
| 4 | 5 | 2007-09-08 00:00:00 | estadio olimpico atahualpa, quito, ecuador | ecuador | 1-2 | 1-5 | friendly |
| 5 | 6 | 2007-10-13 00:00:00 | estadio cuscatlan, san salvador, el salvador | costa rica | 1-2 | 2-2 | friendly |
| 6 | 7 | 2008-02-06 00:00:00 | estadio cuscatlan, san salvador, el salvador | anguilla | 9-0 | 12-0 | 2010 fifa world cup qualification |
| 7 | 8 | 2008-06-22 00:00:00 | estadio cuscatlan, san salvador, el salvador | panama | 1-1 | 3-1 | 2010 fifa world cup qualification |
| 8 | 9 | 2008-06-22 00:00:00 | estadio cuscatlan, san salvador, el salvador | panama | 2-1 | 3-1 | 2010 fifa world cup qualification |
| 9 | 10 | 2008-10-15 00:00:00 | estadio cuscatlan, san salvador, el salvador | suriname | 2-0 | 3-0 | 2010 fifa world cup qualification |
| 10 | 11 | 2008-10-22 00:00:00 | robert f. kennedy stadium, washington, d.c., united states | bolivia | 1-0 | 2-0 | friendly |
| 11 | 12 | 2009-03-28 00:00:00 | estadio cuscatlan, san salvador, el salvador | united states | 1-0 | 2-2 | 2010 fifa world cup qualification |
| 12 | 13 | 2009-06-06 00:00:00 | estadio cuscatlan, san salvador, el salvador | mexico | 2-1 | 2-1 | 2010 fifa world cup qualification |
| 13 | 14 | 2010-03-03 00:00:00 | los angeles coliseum, los angeles, united states | guatemala | 2-1 | 2-1 | friendly |
| 14 | 15 | 2011-06-12 00:00:00 | soldier field, chicago, united states | cuba | 6-1 | 6-1 | 2011 concacaf gold cup | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 2 | | [
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select sr. no. where name of the train = 'amravati-jabalpur sf' 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 : sr. no. row 1 : 32 | select sr. no. where name of the train = 'amravati-jabalpur sf' <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
& sr. no. \\
\midrule
0 & 32 \\
\bottomrule
\end{tabular}
| select sr. no. where name of the train = 'amravati-jabalpur sf' <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>sr. no.</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>32</td>
</tr>
</tbody>
</table> | select sr. no. where name of the train = 'amravati-jabalpur sf' <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 | | | | sr. no. |
|---:|----------:|
| 0 | 32 | | [
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select laps where team = 'herdez competition' col : pos | no | driver | team | laps | time/retired | grid | points row 1 : 1 | 32 | patrick carpentier | team player's | 87 | 1:48:11.023 | 1 | 22 row 2 : 2 | 1 | bruno junqueira | newman/haas racing | 87 | +0.8 secs | 2 | 17 row 3 : 3 | 3 | paul tracy | team player's | 87 | +28.6 secs | 3 | 14 row 4 : 4 | 9 | michel jourdain, jr | team rahal | 87 | +40.8 secs | 13 | 12 row 5 : 5 | 34 | mario haberfeld | mi-jack conquest racing | 87 | +42.1 secs | 6 | 10 row 6 : 6 | 20 | oriol servia | patrick racing | 87 | +1:00.2 | 10 | 8 row 7 : 7 | 51 | adrian fernandez | fernandez racing | 87 | +1:01.4 | 5 | 6 row 8 : 8 | 12 | jimmy vasser | american spirit team johansson | 87 | +1:01.8 | 8 | 5 row 9 : 9 | 7 | tiago monteiro | fittipaldi-dingman racing | 86 | + 1 lap | 15 | 4 row 10 : 10 | 55 | mario dominguez | herdez competition | 86 | + 1 lap | 11 | 3 row 11 : 11 | 27 | bryan herta | pk racing | 86 | + 1 lap | 12 | 2 row 12 : 12 | 31 | ryan hunter-reay | american spirit team johansson | 86 | + 1 lap | 17 | 1 row 13 : 13 | 19 | joel camathias | dale coyne racing | 85 | + 2 laps | 18 | 0 row 14 : 14 | 33 | alex tagliani | rocketsports racing | 85 | + 2 laps | 14 | 0 row 15 : 15 | 4 | roberto moreno | herdez competition | 85 | + 2 laps | 9 | 0 row 16 : 16 | 11 | geoff boss | dale coyne racing | 83 | mechanical | 19 | 0 row 17 : 17 | 2 | sebastien bourdais | newman/haas racing | 77 | mechanical | 4 | 0 row 18 : 18 | 15 | darren manning | walker racing | 12 | mechanical | 7 | 0 row 19 : 19 | 5 | rodolfo lavin | walker racing | 10 | mechanical | 16 | 0 | col : laps row 1 : 86 row 2 : 85 | select laps where team = 'herdez competition' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& pos & no & driver & team & laps & time/retired & grid & points \\
\midrule
0 & 1 & 32 & patrick carpentier & team player's & 87 & 1:48:11.023 & 1 & 22 \\
1 & 2 & 1 & bruno junqueira & newman/haas racing & 87 & +0.8 secs & 2 & 17 \\
2 & 3 & 3 & paul tracy & team player's & 87 & +28.6 secs & 3 & 14 \\
3 & 4 & 9 & michel jourdain, jr & team rahal & 87 & +40.8 secs & 13 & 12 \\
4 & 5 & 34 & mario haberfeld & mi-jack conquest racing & 87 & +42.1 secs & 6 & 10 \\
5 & 6 & 20 & oriol servia & patrick racing & 87 & +1:00.2 & 10 & 8 \\
6 & 7 & 51 & adrian fernandez & fernandez racing & 87 & +1:01.4 & 5 & 6 \\
7 & 8 & 12 & jimmy vasser & american spirit team johansson & 87 & +1:01.8 & 8 & 5 \\
8 & 9 & 7 & tiago monteiro & fittipaldi-dingman racing & 86 & + 1 lap & 15 & 4 \\
9 & 10 & 55 & mario dominguez & herdez competition & 86 & + 1 lap & 11 & 3 \\
10 & 11 & 27 & bryan herta & pk racing & 86 & + 1 lap & 12 & 2 \\
11 & 12 & 31 & ryan hunter-reay & american spirit team johansson & 86 & + 1 lap & 17 & 1 \\
12 & 13 & 19 & joel camathias & dale coyne racing & 85 & + 2 laps & 18 & 0 \\
13 & 14 & 33 & alex tagliani & rocketsports racing & 85 & + 2 laps & 14 & 0 \\
14 & 15 & 4 & roberto moreno & herdez competition & 85 & + 2 laps & 9 & 0 \\
15 & 16 & 11 & geoff boss & dale coyne racing & 83 & mechanical & 19 & 0 \\
16 & 17 & 2 & sebastien bourdais & newman/haas racing & 77 & mechanical & 4 & 0 \\
17 & 18 & 15 & darren manning & walker racing & 12 & mechanical & 7 & 0 \\
18 & 19 & 5 & rodolfo lavin & walker racing & 10 & mechanical & 16 & 0 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& laps \\
\midrule
0 & 86 \\
1 & 85 \\
\bottomrule
\end{tabular}
| select laps where team = 'herdez competition' <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>32</td>
<td>patrick carpentier</td>
<td>team player's</td>
<td>87</td>
<td>1:48:11.023</td>
<td>1</td>
<td>22</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>1</td>
<td>bruno junqueira</td>
<td>newman/haas racing</td>
<td>87</td>
<td>+0.8 secs</td>
<td>2</td>
<td>17</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>3</td>
<td>paul tracy</td>
<td>team player's</td>
<td>87</td>
<td>+28.6 secs</td>
<td>3</td>
<td>14</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>9</td>
<td>michel jourdain, jr</td>
<td>team rahal</td>
<td>87</td>
<td>+40.8 secs</td>
<td>13</td>
<td>12</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>34</td>
<td>mario haberfeld</td>
<td>mi-jack conquest racing</td>
<td>87</td>
<td>+42.1 secs</td>
<td>6</td>
<td>10</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>20</td>
<td>oriol servia</td>
<td>patrick racing</td>
<td>87</td>
<td>+1:00.2</td>
<td>10</td>
<td>8</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>51</td>
<td>adrian fernandez</td>
<td>fernandez racing</td>
<td>87</td>
<td>+1:01.4</td>
<td>5</td>
<td>6</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>12</td>
<td>jimmy vasser</td>
<td>american spirit team johansson</td>
<td>87</td>
<td>+1:01.8</td>
<td>8</td>
<td>5</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>7</td>
<td>tiago monteiro</td>
<td>fittipaldi-dingman racing</td>
<td>86</td>
<td>+ 1 lap</td>
<td>15</td>
<td>4</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>55</td>
<td>mario dominguez</td>
<td>herdez competition</td>
<td>86</td>
<td>+ 1 lap</td>
<td>11</td>
<td>3</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>27</td>
<td>bryan herta</td>
<td>pk racing</td>
<td>86</td>
<td>+ 1 lap</td>
<td>12</td>
<td>2</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>31</td>
<td>ryan hunter-reay</td>
<td>american spirit team johansson</td>
<td>86</td>
<td>+ 1 lap</td>
<td>17</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>19</td>
<td>joel camathias</td>
<td>dale coyne racing</td>
<td>85</td>
<td>+ 2 laps</td>
<td>18</td>
<td>0</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>33</td>
<td>alex tagliani</td>
<td>rocketsports racing</td>
<td>85</td>
<td>+ 2 laps</td>
<td>14</td>
<td>0</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>4</td>
<td>roberto moreno</td>
<td>herdez competition</td>
<td>85</td>
<td>+ 2 laps</td>
<td>9</td>
<td>0</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>11</td>
<td>geoff boss</td>
<td>dale coyne racing</td>
<td>83</td>
<td>mechanical</td>
<td>19</td>
<td>0</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>2</td>
<td>sebastien bourdais</td>
<td>newman/haas racing</td>
<td>77</td>
<td>mechanical</td>
<td>4</td>
<td>0</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>15</td>
<td>darren manning</td>
<td>walker racing</td>
<td>12</td>
<td>mechanical</td>
<td>7</td>
<td>0</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>5</td>
<td>rodolfo lavin</td>
<td>walker racing</td>
<td>10</td>
<td>mechanical</td>
<td>16</td>
<td>0</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>laps</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>86</td>
</tr>
<tr>
<th>1</th>
<td>85</td>
</tr>
</tbody>
</table> | select laps where team = 'herdez competition' <table_name> : table | | pos | no | driver | team | laps | time/retired | grid | points |
|---:|------:|-----:|:--------------------|:-------------------------------|-------:|:---------------|-------:|---------:|
| 0 | 1 | 32 | patrick carpentier | team player's | 87 | 1:48:11.023 | 1 | 22 |
| 1 | 2 | 1 | bruno junqueira | newman/haas racing | 87 | +0.8 secs | 2 | 17 |
| 2 | 3 | 3 | paul tracy | team player's | 87 | +28.6 secs | 3 | 14 |
| 3 | 4 | 9 | michel jourdain, jr | team rahal | 87 | +40.8 secs | 13 | 12 |
| 4 | 5 | 34 | mario haberfeld | mi-jack conquest racing | 87 | +42.1 secs | 6 | 10 |
| 5 | 6 | 20 | oriol servia | patrick racing | 87 | +1:00.2 | 10 | 8 |
| 6 | 7 | 51 | adrian fernandez | fernandez racing | 87 | +1:01.4 | 5 | 6 |
| 7 | 8 | 12 | jimmy vasser | american spirit team johansson | 87 | +1:01.8 | 8 | 5 |
| 8 | 9 | 7 | tiago monteiro | fittipaldi-dingman racing | 86 | + 1 lap | 15 | 4 |
| 9 | 10 | 55 | mario dominguez | herdez competition | 86 | + 1 lap | 11 | 3 |
| 10 | 11 | 27 | bryan herta | pk racing | 86 | + 1 lap | 12 | 2 |
| 11 | 12 | 31 | ryan hunter-reay | american spirit team johansson | 86 | + 1 lap | 17 | 1 |
| 12 | 13 | 19 | joel camathias | dale coyne racing | 85 | + 2 laps | 18 | 0 |
| 13 | 14 | 33 | alex tagliani | rocketsports racing | 85 | + 2 laps | 14 | 0 |
| 14 | 15 | 4 | roberto moreno | herdez competition | 85 | + 2 laps | 9 | 0 |
| 15 | 16 | 11 | geoff boss | dale coyne racing | 83 | mechanical | 19 | 0 |
| 16 | 17 | 2 | sebastien bourdais | newman/haas racing | 77 | mechanical | 4 | 0 |
| 17 | 18 | 15 | darren manning | walker racing | 12 | mechanical | 7 | 0 |
| 18 | 19 | 5 | rodolfo lavin | walker racing | 10 | mechanical | 16 | 0 | | | | laps |
|---:|-------:|
| 0 | 86 |
| 1 | 85 | | [
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select year where title = 'the bear' col : year | title | role | notes row 1 : 1982 | voyager from the unknown | phineas bogg | none row 2 : 1982-1983 | voyagers! | phineas bogg | 20 episodes row 3 : 1983 | making of a male model | tyler burnett | television movie row 4 : 1984 | hotel | prince erik | episode: "tomorrows" row 5 : 1984 | the bear | pat trammell | none row 6 : 1984 | cover up | mac harper | 7 episodes | col : year row 1 : 1984 | select year where title = 'the bear' <table_name> : table \begin{tabular}{lllll}
\toprule
& year & title & role & notes \\
\midrule
0 & 1982 & voyager from the unknown & phineas bogg & none \\
1 & 1982-1983 & voyagers! & phineas bogg & 20 episodes \\
2 & 1983 & making of a male model & tyler burnett & television movie \\
3 & 1984 & hotel & prince erik & episode: "tomorrows" \\
4 & 1984 & the bear & pat trammell & none \\
5 & 1984 & cover up & mac harper & 7 episodes \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& year \\
\midrule
0 & 1984 \\
\bottomrule
\end{tabular}
| select year where title = 'the bear' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>title</th>
<th>role</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1982</td>
<td>voyager from the unknown</td>
<td>phineas bogg</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1982-1983</td>
<td>voyagers!</td>
<td>phineas bogg</td>
<td>20 episodes</td>
</tr>
<tr>
<th>2</th>
<td>1983</td>
<td>making of a male model</td>
<td>tyler burnett</td>
<td>television movie</td>
</tr>
<tr>
<th>3</th>
<td>1984</td>
<td>hotel</td>
<td>prince erik</td>
<td>episode: "tomorrows"</td>
</tr>
<tr>
<th>4</th>
<td>1984</td>
<td>the bear</td>
<td>pat trammell</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>1984</td>
<td>cover up</td>
<td>mac harper</td>
<td>7 episodes</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>1984</td>
</tr>
</tbody>
</table> | select year where title = 'the bear' <table_name> : table | | year | title | role | notes |
|---:|:----------|:-------------------------|:--------------|:---------------------|
| 0 | 1982 | voyager from the unknown | phineas bogg | none |
| 1 | 1982-1983 | voyagers! | phineas bogg | 20 episodes |
| 2 | 1983 | making of a male model | tyler burnett | television movie |
| 3 | 1984 | hotel | prince erik | episode: "tomorrows" |
| 4 | 1984 | the bear | pat trammell | none |
| 5 | 1984 | cover up | mac harper | 7 episodes | | | | year |
|---:|-------:|
| 0 | 1984 | | [
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select count ( * ) where face off map(s) = 1601 col : drop(s) | multiplayer map(s) | spec ops mission(s) | face off map(s) | xbox 360 release date | playstation 3 release date row 1 : 1-2 | liberation & piazza | none | none | 24 january 2012 | 28 february 2012 row 2 : 3 | overwatch | none | none | 21 february 2012 | 29 march 2012 row 3 : 4-6 | black box | black ice & negotiator | none | 13 march 2012 | 12 april 2012 row 4 : 7-8 | sanctuary & foundation | none | none | 10 april 2012 | 10 may 2012 row 5 : 9-12 | oasis | iron clad & kill switch | getaway & lookout | 15 may 2012 | 14 june 2012 row 6 : 13-15 | none | arctic recon | vortex, u-turn & intersection | 19 june 2012 | 19 july 2012 row 7 : 16-18 | decommission & offshore | vertigo | none | 17 july 2012 | 16 august 2012 row 8 : 19-21 | none | special delivery, light 'em up & special ops chaos mode | none | 7 august 2012 | 6 september 2012 row 9 : 22-24 | parish, gulch & boardwalk | none | none | 5 september 2012 | 9 october 2012 | col : count ( "*" ) row 1 : 0 | select count ( * ) where face off map(s) = 1601 <table_name> : table \begin{tabular}{lllllll}
\toprule
& drop(s) & multiplayer map(s) & spec ops mission(s) & face off map(s) & xbox 360 release date & playstation 3 release date \\
\midrule
0 & 1-2 & liberation & piazza & none & none & 24 january 2012 & 28 february 2012 \\
1 & 3 & overwatch & none & none & 21 february 2012 & 29 march 2012 \\
2 & 4-6 & black box & black ice & negotiator & none & 13 march 2012 & 12 april 2012 \\
3 & 7-8 & sanctuary & foundation & none & none & 10 april 2012 & 10 may 2012 \\
4 & 9-12 & oasis & iron clad & kill switch & getaway & lookout & 15 may 2012 & 14 june 2012 \\
5 & 13-15 & none & arctic recon & vortex, u-turn & intersection & 19 june 2012 & 19 july 2012 \\
6 & 16-18 & decommission & offshore & vertigo & none & 17 july 2012 & 16 august 2012 \\
7 & 19-21 & none & special delivery, light 'em up & special ops chaos mode & none & 7 august 2012 & 6 september 2012 \\
8 & 22-24 & parish, gulch & boardwalk & none & none & 5 september 2012 & 9 october 2012 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where face off map(s) = 1601 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>drop(s)</th>
<th>multiplayer map(s)</th>
<th>spec ops mission(s)</th>
<th>face off map(s)</th>
<th>xbox 360 release date</th>
<th>playstation 3 release date</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1-2</td>
<td>liberation & piazza</td>
<td>none</td>
<td>none</td>
<td>24 january 2012</td>
<td>28 february 2012</td>
</tr>
<tr>
<th>1</th>
<td>3</td>
<td>overwatch</td>
<td>none</td>
<td>none</td>
<td>21 february 2012</td>
<td>29 march 2012</td>
</tr>
<tr>
<th>2</th>
<td>4-6</td>
<td>black box</td>
<td>black ice & negotiator</td>
<td>none</td>
<td>13 march 2012</td>
<td>12 april 2012</td>
</tr>
<tr>
<th>3</th>
<td>7-8</td>
<td>sanctuary & foundation</td>
<td>none</td>
<td>none</td>
<td>10 april 2012</td>
<td>10 may 2012</td>
</tr>
<tr>
<th>4</th>
<td>9-12</td>
<td>oasis</td>
<td>iron clad & kill switch</td>
<td>getaway & lookout</td>
<td>15 may 2012</td>
<td>14 june 2012</td>
</tr>
<tr>
<th>5</th>
<td>13-15</td>
<td>none</td>
<td>arctic recon</td>
<td>vortex, u-turn & intersection</td>
<td>19 june 2012</td>
<td>19 july 2012</td>
</tr>
<tr>
<th>6</th>
<td>16-18</td>
<td>decommission & offshore</td>
<td>vertigo</td>
<td>none</td>
<td>17 july 2012</td>
<td>16 august 2012</td>
</tr>
<tr>
<th>7</th>
<td>19-21</td>
<td>none</td>
<td>special delivery, light 'em up & special ops chaos mode</td>
<td>none</td>
<td>7 august 2012</td>
<td>6 september 2012</td>
</tr>
<tr>
<th>8</th>
<td>22-24</td>
<td>parish, gulch & boardwalk</td>
<td>none</td>
<td>none</td>
<td>5 september 2012</td>
<td>9 october 2012</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 face off map(s) = 1601 <table_name> : table | | drop(s) | multiplayer map(s) | spec ops mission(s) | face off map(s) | xbox 360 release date | playstation 3 release date |
|---:|:----------|:--------------------------|:--------------------------------------------------------|:------------------------------|:------------------------|:-----------------------------|
| 0 | 1-2 | liberation & piazza | none | none | 24 january 2012 | 28 february 2012 |
| 1 | 3 | overwatch | none | none | 21 february 2012 | 29 march 2012 |
| 2 | 4-6 | black box | black ice & negotiator | none | 13 march 2012 | 12 april 2012 |
| 3 | 7-8 | sanctuary & foundation | none | none | 10 april 2012 | 10 may 2012 |
| 4 | 9-12 | oasis | iron clad & kill switch | getaway & lookout | 15 may 2012 | 14 june 2012 |
| 5 | 13-15 | none | arctic recon | vortex, u-turn & intersection | 19 june 2012 | 19 july 2012 |
| 6 | 16-18 | decommission & offshore | vertigo | none | 17 july 2012 | 16 august 2012 |
| 7 | 19-21 | none | special delivery, light 'em up & special ops chaos mode | none | 7 august 2012 | 6 september 2012 |
| 8 | 22-24 | parish, gulch & boardwalk | none | none | 5 september 2012 | 9 october 2012 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select year where event = 'marathon' col : year | competition | venue | position | event | notes row 1 : 1986 | venice marathon | venice, italy | 1st | marathon | 2:18:44 row 2 : 1987 | world championships | rome, italy | 13th | marathon | 2:17:45 row 3 : 1987 | venice marathon | venice, italy | 1st | marathon | 2:10:01 row 4 : 1990 | european championships | split, fr yugoslavia | 4th | marathon | 2:17:45 row 5 : 1991 | world championships | tokyo, japan | 6th | marathon | 2:15:58 row 6 : 1992 | olympic games | barcelona, spain | 5th | marathon | 2:14:15 row 7 : 1993 | world championships | stuttgart, germany | none | marathon | dnf row 8 : 1996 | olympic games | atlanta, united states | 20th | marathon | 2:17:27 | col : year row 1 : 1986 row 2 : 1987 row 3 : 1987 row 4 : 1990 row 5 : 1991 row 6 : 1992 row 7 : 1993 row 8 : 1996 | select year where event = 'marathon' <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & competition & venue & position & event & notes \\
\midrule
0 & 1986 & venice marathon & venice, italy & 1st & marathon & 2:18:44 \\
1 & 1987 & world championships & rome, italy & 13th & marathon & 2:17:45 \\
2 & 1987 & venice marathon & venice, italy & 1st & marathon & 2:10:01 \\
3 & 1990 & european championships & split, fr yugoslavia & 4th & marathon & 2:17:45 \\
4 & 1991 & world championships & tokyo, japan & 6th & marathon & 2:15:58 \\
5 & 1992 & olympic games & barcelona, spain & 5th & marathon & 2:14:15 \\
6 & 1993 & world championships & stuttgart, germany & none & marathon & dnf \\
7 & 1996 & olympic games & atlanta, united states & 20th & marathon & 2:17:27 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& year \\
\midrule
0 & 1986 \\
1 & 1987 \\
2 & 1987 \\
3 & 1990 \\
4 & 1991 \\
5 & 1992 \\
6 & 1993 \\
7 & 1996 \\
\bottomrule
\end{tabular}
| select year where event = 'marathon' <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>event</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1986</td>
<td>venice marathon</td>
<td>venice, italy</td>
<td>1st</td>
<td>marathon</td>
<td>2:18:44</td>
</tr>
<tr>
<th>1</th>
<td>1987</td>
<td>world championships</td>
<td>rome, italy</td>
<td>13th</td>
<td>marathon</td>
<td>2:17:45</td>
</tr>
<tr>
<th>2</th>
<td>1987</td>
<td>venice marathon</td>
<td>venice, italy</td>
<td>1st</td>
<td>marathon</td>
<td>2:10:01</td>
</tr>
<tr>
<th>3</th>
<td>1990</td>
<td>european championships</td>
<td>split, fr yugoslavia</td>
<td>4th</td>
<td>marathon</td>
<td>2:17:45</td>
</tr>
<tr>
<th>4</th>
<td>1991</td>
<td>world championships</td>
<td>tokyo, japan</td>
<td>6th</td>
<td>marathon</td>
<td>2:15:58</td>
</tr>
<tr>
<th>5</th>
<td>1992</td>
<td>olympic games</td>
<td>barcelona, spain</td>
<td>5th</td>
<td>marathon</td>
<td>2:14:15</td>
</tr>
<tr>
<th>6</th>
<td>1993</td>
<td>world championships</td>
<td>stuttgart, germany</td>
<td>none</td>
<td>marathon</td>
<td>dnf</td>
</tr>
<tr>
<th>7</th>
<td>1996</td>
<td>olympic games</td>
<td>atlanta, united states</td>
<td>20th</td>
<td>marathon</td>
<td>2:17:27</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>1986</td>
</tr>
<tr>
<th>1</th>
<td>1987</td>
</tr>
<tr>
<th>2</th>
<td>1987</td>
</tr>
<tr>
<th>3</th>
<td>1990</td>
</tr>
<tr>
<th>4</th>
<td>1991</td>
</tr>
<tr>
<th>5</th>
<td>1992</td>
</tr>
<tr>
<th>6</th>
<td>1993</td>
</tr>
<tr>
<th>7</th>
<td>1996</td>
</tr>
</tbody>
</table> | select year where event = 'marathon' <table_name> : table | | year | competition | venue | position | event | notes |
|---:|-------:|:-----------------------|:-----------------------|:-----------|:---------|:--------|
| 0 | 1986 | venice marathon | venice, italy | 1st | marathon | 2:18:44 |
| 1 | 1987 | world championships | rome, italy | 13th | marathon | 2:17:45 |
| 2 | 1987 | venice marathon | venice, italy | 1st | marathon | 2:10:01 |
| 3 | 1990 | european championships | split, fr yugoslavia | 4th | marathon | 2:17:45 |
| 4 | 1991 | world championships | tokyo, japan | 6th | marathon | 2:15:58 |
| 5 | 1992 | olympic games | barcelona, spain | 5th | marathon | 2:14:15 |
| 6 | 1993 | world championships | stuttgart, germany | none | marathon | dnf |
| 7 | 1996 | olympic games | atlanta, united states | 20th | marathon | 2:17:27 | | | | year |
|---:|-------:|
| 0 | 1986 |
| 1 | 1987 |
| 2 | 1987 |
| 3 | 1990 |
| 4 | 1991 |
| 5 | 1992 |
| 6 | 1993 |
| 7 | 1996 | | [
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select cn numbers where builder = 'mlw' col : builder | works numbers | dates | cn numbers | gt numbers | notes row 1 : mlw | 39548-39562 40583-40622 | 1906 | 2525-2566 2663 | 651-705 | none row 2 : mlw | 42331-42345 43150-43164 | 1907 | 2577-2605 2661-2662 2685 | 721-750 | none row 3 : alco | 42046-42060 43540-43554 | 1907 | 2567-2576 2606-2615 2664-2665 2669-2676 | 706-720 752 755 758 761 763 | none row 4 : mlw | 45163-45182 | 1908 | 2627-2646 | 631-650 | none row 5 : mlw | 46880-46894 | 1910 | 2647-2660 2686 | 616-630 | none row 6 : alco | 49663-49674 | 1911 | 2616-2625 2677-2678 | 766-777 | built at alco's brooks works row 7 : alco | 50472-50481 | 1911 | 2626 2666-2668 2679-2684 | 779-780 784 786-787 | none | col : cn numbers row 1 : 2525-2566 2663 row 2 : 2577-2605 2661-2662 2685 row 3 : 2627-2646 row 4 : 2647-2660 2686 | select cn numbers where builder = 'mlw' <table_name> : table \begin{tabular}{lllllll}
\toprule
& builder & works numbers & dates & cn numbers & gt numbers & notes \\
\midrule
0 & mlw & 39548-39562 40583-40622 & 1906 & 2525-2566 2663 & 651-705 & none \\
1 & mlw & 42331-42345 43150-43164 & 1907 & 2577-2605 2661-2662 2685 & 721-750 & none \\
2 & alco & 42046-42060 43540-43554 & 1907 & 2567-2576 2606-2615 2664-2665 2669-2676 & 706-720 752 755 758 761 763 & none \\
3 & mlw & 45163-45182 & 1908 & 2627-2646 & 631-650 & none \\
4 & mlw & 46880-46894 & 1910 & 2647-2660 2686 & 616-630 & none \\
5 & alco & 49663-49674 & 1911 & 2616-2625 2677-2678 & 766-777 & built at alco's brooks works \\
6 & alco & 50472-50481 & 1911 & 2626 2666-2668 2679-2684 & 779-780 784 786-787 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& cn numbers \\
\midrule
0 & 2525-2566 2663 \\
1 & 2577-2605 2661-2662 2685 \\
2 & 2627-2646 \\
3 & 2647-2660 2686 \\
\bottomrule
\end{tabular}
| select cn numbers where builder = 'mlw' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>builder</th>
<th>works numbers</th>
<th>dates</th>
<th>cn numbers</th>
<th>gt numbers</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>mlw</td>
<td>39548-39562 40583-40622</td>
<td>1906</td>
<td>2525-2566 2663</td>
<td>651-705</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>mlw</td>
<td>42331-42345 43150-43164</td>
<td>1907</td>
<td>2577-2605 2661-2662 2685</td>
<td>721-750</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>alco</td>
<td>42046-42060 43540-43554</td>
<td>1907</td>
<td>2567-2576 2606-2615 2664-2665 2669-2676</td>
<td>706-720 752 755 758 761 763</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>mlw</td>
<td>45163-45182</td>
<td>1908</td>
<td>2627-2646</td>
<td>631-650</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>mlw</td>
<td>46880-46894</td>
<td>1910</td>
<td>2647-2660 2686</td>
<td>616-630</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>alco</td>
<td>49663-49674</td>
<td>1911</td>
<td>2616-2625 2677-2678</td>
<td>766-777</td>
<td>built at alco's brooks works</td>
</tr>
<tr>
<th>6</th>
<td>alco</td>
<td>50472-50481</td>
<td>1911</td>
<td>2626 2666-2668 2679-2684</td>
<td>779-780 784 786-787</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>cn numbers</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2525-2566 2663</td>
</tr>
<tr>
<th>1</th>
<td>2577-2605 2661-2662 2685</td>
</tr>
<tr>
<th>2</th>
<td>2627-2646</td>
</tr>
<tr>
<th>3</th>
<td>2647-2660 2686</td>
</tr>
</tbody>
</table> | select cn numbers where builder = 'mlw' <table_name> : table | | builder | works numbers | dates | cn numbers | gt numbers | notes |
|---:|:----------|:------------------------|--------:|:----------------------------------------|:----------------------------|:-----------------------------|
| 0 | mlw | 39548-39562 40583-40622 | 1906 | 2525-2566 2663 | 651-705 | none |
| 1 | mlw | 42331-42345 43150-43164 | 1907 | 2577-2605 2661-2662 2685 | 721-750 | none |
| 2 | alco | 42046-42060 43540-43554 | 1907 | 2567-2576 2606-2615 2664-2665 2669-2676 | 706-720 752 755 758 761 763 | none |
| 3 | mlw | 45163-45182 | 1908 | 2627-2646 | 631-650 | none |
| 4 | mlw | 46880-46894 | 1910 | 2647-2660 2686 | 616-630 | none |
| 5 | alco | 49663-49674 | 1911 | 2616-2625 2677-2678 | 766-777 | built at alco's brooks works |
| 6 | alco | 50472-50481 | 1911 | 2626 2666-2668 2679-2684 | 779-780 784 786-787 | none | | | | cn numbers |
|---:|:-------------------------|
| 0 | 2525-2566 2663 |
| 1 | 2577-2605 2661-2662 2685 |
| 2 | 2627-2646 |
| 3 | 2647-2660 2686 | | [
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select longitude where kant = 'c' group by longitude having count ( kant ) = 1 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 : 22.1° e | select longitude where kant = 'c' group by longitude having count ( kant ) = 1 <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 & 22.1° e \\
\bottomrule
\end{tabular}
| select longitude where kant = 'c' group by longitude having count ( kant ) = 1 <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>22.1° e</td>
</tr>
</tbody>
</table> | select longitude where kant = 'c' group by longitude having count ( kant ) = 1 <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 | 22.1° e | | [
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] |
select constructor where driver = 'stefano modena' col : pos | no | driver | constructor | laps | time/retired | grid | points row 1 : 1 | 5 | nigel mansell | williams-renault | 65 | 1:56:10.674 | 1 | 10 row 2 : 2 | 19 | michael schumacher | benetton-ford | 65 | + 23.914 | 2 | 6 row 3 : 3 | 27 | jean alesi | ferrari | 65 | + 26.462 | 8 | 4 row 4 : 4 | 2 | gerhard berger | mclaren-honda | 65 | + 1:20.647 | 7 | 3 row 5 : 5 | 9 | michele alboreto | footwork-mugen-honda | 64 | + 1 lap | 16 | 2 row 6 : 6 | 22 | pierluigi martini | dallara-ferrari | 63 | + 2 laps | 13 | 1 row 7 : 7 | 10 | aguri suzuki | footwork-mugen-honda | 63 | + 2 laps | 19 | none row 8 : 8 | 16 | karl wendlinger | march-ilmor | 63 | + 2 laps | 9 | none row 9 : 9 | 1 | ayrton senna | mclaren-honda | 62 | spun off | 3 | none row 10 : 10 | 28 | ivan capelli | ferrari | 62 | spun off | 5 | none row 11 : 11 | 23 | christian fittipaldi | minardi-lamborghini | 61 | + 4 laps | 22 | none row 12 : 12 | 17 | paul belmondo | march-ilmor | 61 | + 4 laps | 23 | none row 13 : ret | 21 | jj lehto | dallara-ferrari | 56 | spun off | 12 | none row 14 : ret | 15 | gabriele tarquini | fondmetal-ford | 56 | spun off | 18 | none row 15 : ret | 11 | mika hakkinen | lotus-ford | 56 | spun off | 21 | none row 16 : ret | 26 | erik comas | ligier-renault | 55 | spun off | 10 | none row 17 : ret | 29 | bertrand gachot | larrousse-lamborghini | 35 | engine | 24 | none row 18 : ret | 3 | olivier grouillard | tyrrell-ilmor | 30 | spun off | 15 | none row 19 : ret | 24 | gianni morbidelli | minardi-lamborghini | 26 | handling | 25 | none row 20 : ret | 33 | mauricio gugelmin | jordan-yamaha | 24 | spun off | 17 | none row 21 : ret | 14 | andrea chiesa | fondmetal-ford | 22 | spun off | 20 | none row 22 : ret | 6 | riccardo patrese | williams-renault | 19 | spun off | 4 | none row 23 : ret | 12 | johnny herbert | lotus-ford | 13 | spun off | 26 | none row 24 : ret | 25 | thierry boutsen | ligier-renault | 11 | engine | 14 | none row 25 : ret | 20 | martin brundle | benetton-ford | 4 | spun off | 6 | none row 26 : ret | 4 | andrea de cesaris | tyrrell-ilmor | 2 | engine | 11 | none row 27 : dnq | 30 | ukyo katayama | larrousse-lamborghini | none | none | none | none row 28 : dnq | 7 | eric van de poele | brabham-judd | none | none | none | none row 29 : dnq | 32 | stefano modena | jordan-yamaha | none | none | none | none row 30 : dnq | 8 | damon hill | brabham-judd | none | none | none | none row 31 : dnpq | 34 | roberto moreno | moda-judd | none | none | none | none row 32 : dnpq | 35 | perry mccarthy | moda-judd | none | none | none | none | col : constructor row 1 : jordan-yamaha | select constructor where driver = 'stefano modena' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& pos & no & driver & constructor & laps & time/retired & grid & points \\
\midrule
0 & 1 & 5 & nigel mansell & williams-renault & 65 & 1:56:10.674 & 1 & 10 \\
1 & 2 & 19 & michael schumacher & benetton-ford & 65 & + 23.914 & 2 & 6 \\
2 & 3 & 27 & jean alesi & ferrari & 65 & + 26.462 & 8 & 4 \\
3 & 4 & 2 & gerhard berger & mclaren-honda & 65 & + 1:20.647 & 7 & 3 \\
4 & 5 & 9 & michele alboreto & footwork-mugen-honda & 64 & + 1 lap & 16 & 2 \\
5 & 6 & 22 & pierluigi martini & dallara-ferrari & 63 & + 2 laps & 13 & 1 \\
6 & 7 & 10 & aguri suzuki & footwork-mugen-honda & 63 & + 2 laps & 19 & none \\
7 & 8 & 16 & karl wendlinger & march-ilmor & 63 & + 2 laps & 9 & none \\
8 & 9 & 1 & ayrton senna & mclaren-honda & 62 & spun off & 3 & none \\
9 & 10 & 28 & ivan capelli & ferrari & 62 & spun off & 5 & none \\
10 & 11 & 23 & christian fittipaldi & minardi-lamborghini & 61 & + 4 laps & 22 & none \\
11 & 12 & 17 & paul belmondo & march-ilmor & 61 & + 4 laps & 23 & none \\
12 & ret & 21 & jj lehto & dallara-ferrari & 56 & spun off & 12 & none \\
13 & ret & 15 & gabriele tarquini & fondmetal-ford & 56 & spun off & 18 & none \\
14 & ret & 11 & mika hakkinen & lotus-ford & 56 & spun off & 21 & none \\
15 & ret & 26 & erik comas & ligier-renault & 55 & spun off & 10 & none \\
16 & ret & 29 & bertrand gachot & larrousse-lamborghini & 35 & engine & 24 & none \\
17 & ret & 3 & olivier grouillard & tyrrell-ilmor & 30 & spun off & 15 & none \\
18 & ret & 24 & gianni morbidelli & minardi-lamborghini & 26 & handling & 25 & none \\
19 & ret & 33 & mauricio gugelmin & jordan-yamaha & 24 & spun off & 17 & none \\
20 & ret & 14 & andrea chiesa & fondmetal-ford & 22 & spun off & 20 & none \\
21 & ret & 6 & riccardo patrese & williams-renault & 19 & spun off & 4 & none \\
22 & ret & 12 & johnny herbert & lotus-ford & 13 & spun off & 26 & none \\
23 & ret & 25 & thierry boutsen & ligier-renault & 11 & engine & 14 & none \\
24 & ret & 20 & martin brundle & benetton-ford & 4 & spun off & 6 & none \\
25 & ret & 4 & andrea de cesaris & tyrrell-ilmor & 2 & engine & 11 & none \\
26 & dnq & 30 & ukyo katayama & larrousse-lamborghini & none & none & none & none \\
27 & dnq & 7 & eric van de poele & brabham-judd & none & none & none & none \\
28 & dnq & 32 & stefano modena & jordan-yamaha & none & none & none & none \\
29 & dnq & 8 & damon hill & brabham-judd & none & none & none & none \\
30 & dnpq & 34 & roberto moreno & moda-judd & none & none & none & none \\
31 & dnpq & 35 & perry mccarthy & moda-judd & none & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& constructor \\
\midrule
0 & jordan-yamaha \\
\bottomrule
\end{tabular}
| select constructor where driver = 'stefano modena' <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>5</td>
<td>nigel mansell</td>
<td>williams-renault</td>
<td>65</td>
<td>1:56:10.674</td>
<td>1</td>
<td>10</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>19</td>
<td>michael schumacher</td>
<td>benetton-ford</td>
<td>65</td>
<td>+ 23.914</td>
<td>2</td>
<td>6</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>27</td>
<td>jean alesi</td>
<td>ferrari</td>
<td>65</td>
<td>+ 26.462</td>
<td>8</td>
<td>4</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2</td>
<td>gerhard berger</td>
<td>mclaren-honda</td>
<td>65</td>
<td>+ 1:20.647</td>
<td>7</td>
<td>3</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>9</td>
<td>michele alboreto</td>
<td>footwork-mugen-honda</td>
<td>64</td>
<td>+ 1 lap</td>
<td>16</td>
<td>2</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>22</td>
<td>pierluigi martini</td>
<td>dallara-ferrari</td>
<td>63</td>
<td>+ 2 laps</td>
<td>13</td>
<td>1</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>10</td>
<td>aguri suzuki</td>
<td>footwork-mugen-honda</td>
<td>63</td>
<td>+ 2 laps</td>
<td>19</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>16</td>
<td>karl wendlinger</td>
<td>march-ilmor</td>
<td>63</td>
<td>+ 2 laps</td>
<td>9</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>1</td>
<td>ayrton senna</td>
<td>mclaren-honda</td>
<td>62</td>
<td>spun off</td>
<td>3</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>28</td>
<td>ivan capelli</td>
<td>ferrari</td>
<td>62</td>
<td>spun off</td>
<td>5</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>23</td>
<td>christian fittipaldi</td>
<td>minardi-lamborghini</td>
<td>61</td>
<td>+ 4 laps</td>
<td>22</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>17</td>
<td>paul belmondo</td>
<td>march-ilmor</td>
<td>61</td>
<td>+ 4 laps</td>
<td>23</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>ret</td>
<td>21</td>
<td>jj lehto</td>
<td>dallara-ferrari</td>
<td>56</td>
<td>spun off</td>
<td>12</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>ret</td>
<td>15</td>
<td>gabriele tarquini</td>
<td>fondmetal-ford</td>
<td>56</td>
<td>spun off</td>
<td>18</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>ret</td>
<td>11</td>
<td>mika hakkinen</td>
<td>lotus-ford</td>
<td>56</td>
<td>spun off</td>
<td>21</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>ret</td>
<td>26</td>
<td>erik comas</td>
<td>ligier-renault</td>
<td>55</td>
<td>spun off</td>
<td>10</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>ret</td>
<td>29</td>
<td>bertrand gachot</td>
<td>larrousse-lamborghini</td>
<td>35</td>
<td>engine</td>
<td>24</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>ret</td>
<td>3</td>
<td>olivier grouillard</td>
<td>tyrrell-ilmor</td>
<td>30</td>
<td>spun off</td>
<td>15</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>ret</td>
<td>24</td>
<td>gianni morbidelli</td>
<td>minardi-lamborghini</td>
<td>26</td>
<td>handling</td>
<td>25</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>ret</td>
<td>33</td>
<td>mauricio gugelmin</td>
<td>jordan-yamaha</td>
<td>24</td>
<td>spun off</td>
<td>17</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>ret</td>
<td>14</td>
<td>andrea chiesa</td>
<td>fondmetal-ford</td>
<td>22</td>
<td>spun off</td>
<td>20</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>ret</td>
<td>6</td>
<td>riccardo patrese</td>
<td>williams-renault</td>
<td>19</td>
<td>spun off</td>
<td>4</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>ret</td>
<td>12</td>
<td>johnny herbert</td>
<td>lotus-ford</td>
<td>13</td>
<td>spun off</td>
<td>26</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>ret</td>
<td>25</td>
<td>thierry boutsen</td>
<td>ligier-renault</td>
<td>11</td>
<td>engine</td>
<td>14</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>ret</td>
<td>20</td>
<td>martin brundle</td>
<td>benetton-ford</td>
<td>4</td>
<td>spun off</td>
<td>6</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>ret</td>
<td>4</td>
<td>andrea de cesaris</td>
<td>tyrrell-ilmor</td>
<td>2</td>
<td>engine</td>
<td>11</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>dnq</td>
<td>30</td>
<td>ukyo katayama</td>
<td>larrousse-lamborghini</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>eric van de poele</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>32</td>
<td>stefano modena</td>
<td>jordan-yamaha</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>29</th>
<td>dnq</td>
<td>8</td>
<td>damon hill</td>
<td>brabham-judd</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>30</th>
<td>dnpq</td>
<td>34</td>
<td>roberto moreno</td>
<td>moda-judd</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>31</th>
<td>dnpq</td>
<td>35</td>
<td>perry mccarthy</td>
<td>moda-judd</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>constructor</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>jordan-yamaha</td>
</tr>
</tbody>
</table> | select constructor where driver = 'stefano modena' <table_name> : table | | pos | no | driver | constructor | laps | time/retired | grid | points |
|---:|:------|-----:|:---------------------|:----------------------|:-------|:---------------|:-------|:---------|
| 0 | 1 | 5 | nigel mansell | williams-renault | 65 | 1:56:10.674 | 1 | 10 |
| 1 | 2 | 19 | michael schumacher | benetton-ford | 65 | + 23.914 | 2 | 6 |
| 2 | 3 | 27 | jean alesi | ferrari | 65 | + 26.462 | 8 | 4 |
| 3 | 4 | 2 | gerhard berger | mclaren-honda | 65 | + 1:20.647 | 7 | 3 |
| 4 | 5 | 9 | michele alboreto | footwork-mugen-honda | 64 | + 1 lap | 16 | 2 |
| 5 | 6 | 22 | pierluigi martini | dallara-ferrari | 63 | + 2 laps | 13 | 1 |
| 6 | 7 | 10 | aguri suzuki | footwork-mugen-honda | 63 | + 2 laps | 19 | none |
| 7 | 8 | 16 | karl wendlinger | march-ilmor | 63 | + 2 laps | 9 | none |
| 8 | 9 | 1 | ayrton senna | mclaren-honda | 62 | spun off | 3 | none |
| 9 | 10 | 28 | ivan capelli | ferrari | 62 | spun off | 5 | none |
| 10 | 11 | 23 | christian fittipaldi | minardi-lamborghini | 61 | + 4 laps | 22 | none |
| 11 | 12 | 17 | paul belmondo | march-ilmor | 61 | + 4 laps | 23 | none |
| 12 | ret | 21 | jj lehto | dallara-ferrari | 56 | spun off | 12 | none |
| 13 | ret | 15 | gabriele tarquini | fondmetal-ford | 56 | spun off | 18 | none |
| 14 | ret | 11 | mika hakkinen | lotus-ford | 56 | spun off | 21 | none |
| 15 | ret | 26 | erik comas | ligier-renault | 55 | spun off | 10 | none |
| 16 | ret | 29 | bertrand gachot | larrousse-lamborghini | 35 | engine | 24 | none |
| 17 | ret | 3 | olivier grouillard | tyrrell-ilmor | 30 | spun off | 15 | none |
| 18 | ret | 24 | gianni morbidelli | minardi-lamborghini | 26 | handling | 25 | none |
| 19 | ret | 33 | mauricio gugelmin | jordan-yamaha | 24 | spun off | 17 | none |
| 20 | ret | 14 | andrea chiesa | fondmetal-ford | 22 | spun off | 20 | none |
| 21 | ret | 6 | riccardo patrese | williams-renault | 19 | spun off | 4 | none |
| 22 | ret | 12 | johnny herbert | lotus-ford | 13 | spun off | 26 | none |
| 23 | ret | 25 | thierry boutsen | ligier-renault | 11 | engine | 14 | none |
| 24 | ret | 20 | martin brundle | benetton-ford | 4 | spun off | 6 | none |
| 25 | ret | 4 | andrea de cesaris | tyrrell-ilmor | 2 | engine | 11 | none |
| 26 | dnq | 30 | ukyo katayama | larrousse-lamborghini | none | none | none | none |
| 27 | dnq | 7 | eric van de poele | brabham-judd | none | none | none | none |
| 28 | dnq | 32 | stefano modena | jordan-yamaha | none | none | none | none |
| 29 | dnq | 8 | damon hill | brabham-judd | none | none | none | none |
| 30 | dnpq | 34 | roberto moreno | moda-judd | none | none | none | none |
| 31 | dnpq | 35 | perry mccarthy | moda-judd | none | none | none | none | | | | constructor |
|---:|:--------------|
| 0 | jordan-yamaha | | [
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select count ( * ) where tpb isbn = 'isbn 91-33-30546-3' col : # | title | tpb isbn | tpb release date | tpb page number | collected material row 1 : 1 | the name of the game | isbn 91-33-30546-3 | june, 2007 | 152 | the boys #1-6 row 2 : 2 | get some | isbn 1-933305-68-1 | march, 2008 | 192 | the boys #7-14 row 3 : 3 | good for the soul | isbn 1-933305-92-4 | october, 2008 | 192 | the boys #15-22 row 4 : 4 | we gotta go now | isbn 1-84856-298-5 | july, 2009 | 192 | the boys #23-30 row 5 : 5 | herogasm | isbn 1-60690-082-x | november, 2009 | 144 | herogasm #1-6 row 6 : 6 | the self-preservation society | isbn 1-60690-125-7 | march, 2010 | 192 | the boys #31-38 row 7 : 7 | the innocents | isbn 1-60690-150-8 | december, 2010 | 216 | the boys #39-47 row 8 : 8 | highland laddie | isbn 1-60690-207-5 | april, 2011 | 144 | highland laddie #1-6 row 9 : 9 | the big ride | isbn 1-60690-220-2 | november 9, 2011 | 276 | the boys #48-59 row 10 : 10 | butcher, baker, candlestickmaker | isbn 1-60690-264-4 | march 6, 2012 | 144 | butcher, baker, candlestickmaker #1-6 row 11 : 11 | over the hill with the sword of a thousand men | isbn 1-60690-341-1 | june/july, 2012 | 152 | the boys #60-65 row 12 : 12 | the bloody doors off | isbn 1-60690-373-x | december, 2012 | 170 | the boys #66-72 | col : count ( "*" ) row 1 : 1 | select count ( * ) where tpb isbn = 'isbn 91-33-30546-3' <table_name> : table \begin{tabular}{lllllll}
\toprule
& # & title & tpb isbn & tpb release date & tpb page number & collected material \\
\midrule
0 & 1 & the name of the game & isbn 91-33-30546-3 & june, 2007 & 152 & the boys #1-6 \\
1 & 2 & get some & isbn 1-933305-68-1 & march, 2008 & 192 & the boys #7-14 \\
2 & 3 & good for the soul & isbn 1-933305-92-4 & october, 2008 & 192 & the boys #15-22 \\
3 & 4 & we gotta go now & isbn 1-84856-298-5 & july, 2009 & 192 & the boys #23-30 \\
4 & 5 & herogasm & isbn 1-60690-082-x & november, 2009 & 144 & herogasm #1-6 \\
5 & 6 & the self-preservation society & isbn 1-60690-125-7 & march, 2010 & 192 & the boys #31-38 \\
6 & 7 & the innocents & isbn 1-60690-150-8 & december, 2010 & 216 & the boys #39-47 \\
7 & 8 & highland laddie & isbn 1-60690-207-5 & april, 2011 & 144 & highland laddie #1-6 \\
8 & 9 & the big ride & isbn 1-60690-220-2 & november 9, 2011 & 276 & the boys #48-59 \\
9 & 10 & butcher, baker, candlestickmaker & isbn 1-60690-264-4 & march 6, 2012 & 144 & butcher, baker, candlestickmaker #1-6 \\
10 & 11 & over the hill with the sword of a thousand men & isbn 1-60690-341-1 & june/july, 2012 & 152 & the boys #60-65 \\
11 & 12 & the bloody doors off & isbn 1-60690-373-x & december, 2012 & 170 & the boys #66-72 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where tpb isbn = 'isbn 91-33-30546-3' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>title</th>
<th>tpb isbn</th>
<th>tpb release date</th>
<th>tpb page number</th>
<th>collected material</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>the name of the game</td>
<td>isbn 91-33-30546-3</td>
<td>june, 2007</td>
<td>152</td>
<td>the boys #1-6</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>get some</td>
<td>isbn 1-933305-68-1</td>
<td>march, 2008</td>
<td>192</td>
<td>the boys #7-14</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>good for the soul</td>
<td>isbn 1-933305-92-4</td>
<td>october, 2008</td>
<td>192</td>
<td>the boys #15-22</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>we gotta go now</td>
<td>isbn 1-84856-298-5</td>
<td>july, 2009</td>
<td>192</td>
<td>the boys #23-30</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>herogasm</td>
<td>isbn 1-60690-082-x</td>
<td>november, 2009</td>
<td>144</td>
<td>herogasm #1-6</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>the self-preservation society</td>
<td>isbn 1-60690-125-7</td>
<td>march, 2010</td>
<td>192</td>
<td>the boys #31-38</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>the innocents</td>
<td>isbn 1-60690-150-8</td>
<td>december, 2010</td>
<td>216</td>
<td>the boys #39-47</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>highland laddie</td>
<td>isbn 1-60690-207-5</td>
<td>april, 2011</td>
<td>144</td>
<td>highland laddie #1-6</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>the big ride</td>
<td>isbn 1-60690-220-2</td>
<td>november 9, 2011</td>
<td>276</td>
<td>the boys #48-59</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>butcher, baker, candlestickmaker</td>
<td>isbn 1-60690-264-4</td>
<td>march 6, 2012</td>
<td>144</td>
<td>butcher, baker, candlestickmaker #1-6</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>over the hill with the sword of a thousand men</td>
<td>isbn 1-60690-341-1</td>
<td>june/july, 2012</td>
<td>152</td>
<td>the boys #60-65</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>the bloody doors off</td>
<td>isbn 1-60690-373-x</td>
<td>december, 2012</td>
<td>170</td>
<td>the boys #66-72</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 tpb isbn = 'isbn 91-33-30546-3' <table_name> : table | | # | title | tpb isbn | tpb release date | tpb page number | collected material |
|---:|----:|:-----------------------------------------------|:-------------------|:-------------------|------------------:|:--------------------------------------|
| 0 | 1 | the name of the game | isbn 91-33-30546-3 | june, 2007 | 152 | the boys #1-6 |
| 1 | 2 | get some | isbn 1-933305-68-1 | march, 2008 | 192 | the boys #7-14 |
| 2 | 3 | good for the soul | isbn 1-933305-92-4 | october, 2008 | 192 | the boys #15-22 |
| 3 | 4 | we gotta go now | isbn 1-84856-298-5 | july, 2009 | 192 | the boys #23-30 |
| 4 | 5 | herogasm | isbn 1-60690-082-x | november, 2009 | 144 | herogasm #1-6 |
| 5 | 6 | the self-preservation society | isbn 1-60690-125-7 | march, 2010 | 192 | the boys #31-38 |
| 6 | 7 | the innocents | isbn 1-60690-150-8 | december, 2010 | 216 | the boys #39-47 |
| 7 | 8 | highland laddie | isbn 1-60690-207-5 | april, 2011 | 144 | highland laddie #1-6 |
| 8 | 9 | the big ride | isbn 1-60690-220-2 | november 9, 2011 | 276 | the boys #48-59 |
| 9 | 10 | butcher, baker, candlestickmaker | isbn 1-60690-264-4 | march 6, 2012 | 144 | butcher, baker, candlestickmaker #1-6 |
| 10 | 11 | over the hill with the sword of a thousand men | isbn 1-60690-341-1 | june/july, 2012 | 152 | the boys #60-65 |
| 11 | 12 | the bloody doors off | isbn 1-60690-373-x | december, 2012 | 170 | the boys #66-72 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select player name , player name where no. of titles = 6 col : rank | player name | no. of titles | runner-up | final appearances row 1 : 1 | jansher khan | 8 | 1 | 9 row 2 : 2 | jahangir khan | 6 | 3 | 9 row 3 : 3 | geoff hunt | 4 | 1 | 5 row 4 : 4 | amr shabana | 4 | 0 | 4 row 5 : 5 | nick matthew | 3 | 0 | 3 row 6 : 6 | ramy ashour | 2 | 1 | 3 row 7 : 6 | david palmer | 2 | 1 | 3 row 8 : 8 | peter nicol | 1 | 2 | 3 row 9 : 9 | rodney eyles | 1 | 1 | 2 row 10 : 9 | thierry lincou | 1 | 1 | 2 row 11 : 9 | ross norman | 1 | 1 | 2 row 12 : 12 | rodney martin | 1 | 0 | 1 row 13 : 12 | jonathon power | 1 | 0 | 1 row 14 : 14 | chris dittmar | 0 | 5 | 5 row 15 : 15 | gregory gaultier | 0 | 4 | 4 row 16 : 15 | qamar zaman | 0 | 4 | 4 row 17 : 17 | ahmed barada | 0 | 1 | 1 row 18 : 17 | lee beachill | 0 | 1 | 1 row 19 : 17 | karim darwish | 0 | 1 | 1 row 20 : 17 | mohamed el shorbagy | 0 | 1 | 1 row 21 : 17 | del harris | 0 | 1 | 1 row 22 : 17 | mohibullah khan | 0 | 1 | 1 row 23 : 17 | peter marshall | 0 | 1 | 1 row 24 : 17 | john white | 0 | 1 | 1 row 25 : 17 | dean williams | 0 | 1 | 1 row 26 : 17 | james willstrop | 0 | 1 | 1 | col : player name row 1 : jahangir khan | select player name , player name where no. of titles = 6 <table_name> : table \begin{tabular}{llllll}
\toprule
& rank & player name & no. of titles & runner-up & final appearances \\
\midrule
0 & 1 & jansher khan & 8 & 1 & 9 \\
1 & 2 & jahangir khan & 6 & 3 & 9 \\
2 & 3 & geoff hunt & 4 & 1 & 5 \\
3 & 4 & amr shabana & 4 & 0 & 4 \\
4 & 5 & nick matthew & 3 & 0 & 3 \\
5 & 6 & ramy ashour & 2 & 1 & 3 \\
6 & 6 & david palmer & 2 & 1 & 3 \\
7 & 8 & peter nicol & 1 & 2 & 3 \\
8 & 9 & rodney eyles & 1 & 1 & 2 \\
9 & 9 & thierry lincou & 1 & 1 & 2 \\
10 & 9 & ross norman & 1 & 1 & 2 \\
11 & 12 & rodney martin & 1 & 0 & 1 \\
12 & 12 & jonathon power & 1 & 0 & 1 \\
13 & 14 & chris dittmar & 0 & 5 & 5 \\
14 & 15 & gregory gaultier & 0 & 4 & 4 \\
15 & 15 & qamar zaman & 0 & 4 & 4 \\
16 & 17 & ahmed barada & 0 & 1 & 1 \\
17 & 17 & lee beachill & 0 & 1 & 1 \\
18 & 17 & karim darwish & 0 & 1 & 1 \\
19 & 17 & mohamed el shorbagy & 0 & 1 & 1 \\
20 & 17 & del harris & 0 & 1 & 1 \\
21 & 17 & mohibullah khan & 0 & 1 & 1 \\
22 & 17 & peter marshall & 0 & 1 & 1 \\
23 & 17 & john white & 0 & 1 & 1 \\
24 & 17 & dean williams & 0 & 1 & 1 \\
25 & 17 & james willstrop & 0 & 1 & 1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& player name \\
\midrule
0 & jahangir khan \\
\bottomrule
\end{tabular}
| select player name , player name where no. of titles = 6 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>rank</th>
<th>player name</th>
<th>no. of titles</th>
<th>runner-up</th>
<th>final appearances</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>jansher khan</td>
<td>8</td>
<td>1</td>
<td>9</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>jahangir khan</td>
<td>6</td>
<td>3</td>
<td>9</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>geoff hunt</td>
<td>4</td>
<td>1</td>
<td>5</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>amr shabana</td>
<td>4</td>
<td>0</td>
<td>4</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>nick matthew</td>
<td>3</td>
<td>0</td>
<td>3</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>ramy ashour</td>
<td>2</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>6</th>
<td>6</td>
<td>david palmer</td>
<td>2</td>
<td>1</td>
<td>3</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>peter nicol</td>
<td>1</td>
<td>2</td>
<td>3</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>rodney eyles</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>9</th>
<td>9</td>
<td>thierry lincou</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>10</th>
<td>9</td>
<td>ross norman</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>rodney martin</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>12</th>
<td>12</td>
<td>jonathon power</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>chris dittmar</td>
<td>0</td>
<td>5</td>
<td>5</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>gregory gaultier</td>
<td>0</td>
<td>4</td>
<td>4</td>
</tr>
<tr>
<th>15</th>
<td>15</td>
<td>qamar zaman</td>
<td>0</td>
<td>4</td>
<td>4</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>ahmed barada</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>17</th>
<td>17</td>
<td>lee beachill</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>18</th>
<td>17</td>
<td>karim darwish</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>19</th>
<td>17</td>
<td>mohamed el shorbagy</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>20</th>
<td>17</td>
<td>del harris</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>21</th>
<td>17</td>
<td>mohibullah khan</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>22</th>
<td>17</td>
<td>peter marshall</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>23</th>
<td>17</td>
<td>john white</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>24</th>
<td>17</td>
<td>dean williams</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>25</th>
<td>17</td>
<td>james willstrop</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>player name</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>jahangir khan</td>
</tr>
</tbody>
</table> | select player name , player name where no. of titles = 6 <table_name> : table | | rank | player name | no. of titles | runner-up | final appearances |
|---:|-------:|:--------------------|----------------:|------------:|--------------------:|
| 0 | 1 | jansher khan | 8 | 1 | 9 |
| 1 | 2 | jahangir khan | 6 | 3 | 9 |
| 2 | 3 | geoff hunt | 4 | 1 | 5 |
| 3 | 4 | amr shabana | 4 | 0 | 4 |
| 4 | 5 | nick matthew | 3 | 0 | 3 |
| 5 | 6 | ramy ashour | 2 | 1 | 3 |
| 6 | 6 | david palmer | 2 | 1 | 3 |
| 7 | 8 | peter nicol | 1 | 2 | 3 |
| 8 | 9 | rodney eyles | 1 | 1 | 2 |
| 9 | 9 | thierry lincou | 1 | 1 | 2 |
| 10 | 9 | ross norman | 1 | 1 | 2 |
| 11 | 12 | rodney martin | 1 | 0 | 1 |
| 12 | 12 | jonathon power | 1 | 0 | 1 |
| 13 | 14 | chris dittmar | 0 | 5 | 5 |
| 14 | 15 | gregory gaultier | 0 | 4 | 4 |
| 15 | 15 | qamar zaman | 0 | 4 | 4 |
| 16 | 17 | ahmed barada | 0 | 1 | 1 |
| 17 | 17 | lee beachill | 0 | 1 | 1 |
| 18 | 17 | karim darwish | 0 | 1 | 1 |
| 19 | 17 | mohamed el shorbagy | 0 | 1 | 1 |
| 20 | 17 | del harris | 0 | 1 | 1 |
| 21 | 17 | mohibullah khan | 0 | 1 | 1 |
| 22 | 17 | peter marshall | 0 | 1 | 1 |
| 23 | 17 | john white | 0 | 1 | 1 |
| 24 | 17 | dean williams | 0 | 1 | 1 |
| 25 | 17 | james willstrop | 0 | 1 | 1 | | | | player name |
|---:|:--------------|
| 0 | jahangir khan | | [
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select sum ( year ) where year = 1942 col : year | title | image | dimensions | collection | comments row 1 : 1942 | assassination of heydrich (c. 1942; originally may have been untitled), oil on canvas on board | view | 61.4 × 76.1 cm. (24.2 × 30 in.) | the national archives, kew, richmond, uk | subject: ss-general reinhard heydrich (1904-1942; operation anthropoid). artwork created for ministry of information during second world war. inf 3/24 row 2 : 1944 | production of tanks (original may have been untitled), oil on canvas | view | 51.3 × 61.5 cm. (20.2 × 24.2 in.) | the national archives, kew, richmond, uk | scene: workers manufacture churchill tanks on a factory production line. artwork created for ministry of information during second world war. inf 3/17 row 3 : 1968 | express engines at tyseley, oil on canvas | view view | 75 × 100 cm. (29.5 × 39.4 in.) | none | scene: rolling stock-london, midland and scottish railway no.5593/45593 jubilee kolhapur and great western railway no.7029 clun castle- at tyseley locomotive works, birmingham, west midlands row 4 : 1972 | field marshall viscount montgomery of alamein, oil on canvas | view | 125 × 100 cm. (49.2 × 39.4 in.) | defence academy of the united kingdom, shrivenham, oxfordshire | subject: field marshal bernard law montgomery (1887-1976), 1st viscount montgomery of alamein, gcb, dso. artwork commissioned by the army staff college, 1971 row 5 : 1971 | sir edward heath | view | 123 × 99 cm. (48.4 × 39 in.) | balliol college, university of oxford, oxford | subject: sir edward heath (1916-2005), kg, organ scholar (1935-1939), honorary fellow (1969), prime minister (1970-1974) row 6 : 1972 | self portrait | none | none | none | none row 7 : none | her majesty the queen with her dogs at frogmore | see cuneo society website | none | none | subject: queen elizabeth ii (b. 1926) row 8 : none | bentley vs the blue train | view see cuneo society website | none | none | scene: 1930 cannes to calais maritime race | col : sum ( "year" ) row 1 : 1942 | select sum ( year ) where year = 1942 <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & title & image & dimensions & collection & comments \\
\midrule
0 & 1942 & assassination of heydrich (c. 1942; originally may have been untitled), oil on canvas on board & view & 61.4 × 76.1 cm. (24.2 × 30 in.) & the national archives, kew, richmond, uk & subject: ss-general reinhard heydrich (1904-1942; operation anthropoid). artwork created for ministry of information during second world war. inf 3/24 \\
1 & 1944 & production of tanks (original may have been untitled), oil on canvas & view & 51.3 × 61.5 cm. (20.2 × 24.2 in.) & the national archives, kew, richmond, uk & scene: workers manufacture churchill tanks on a factory production line. artwork created for ministry of information during second world war. inf 3/17 \\
2 & 1968 & express engines at tyseley, oil on canvas & view view & 75 × 100 cm. (29.5 × 39.4 in.) & none & scene: rolling stock-london, midland and scottish railway no.5593/45593 jubilee kolhapur and great western railway no.7029 clun castle- at tyseley locomotive works, birmingham, west midlands \\
3 & 1972 & field marshall viscount montgomery of alamein, oil on canvas & view & 125 × 100 cm. (49.2 × 39.4 in.) & defence academy of the united kingdom, shrivenham, oxfordshire & subject: field marshal bernard law montgomery (1887-1976), 1st viscount montgomery of alamein, gcb, dso. artwork commissioned by the army staff college, 1971 \\
4 & 1971 & sir edward heath & view & 123 × 99 cm. (48.4 × 39 in.) & balliol college, university of oxford, oxford & subject: sir edward heath (1916-2005), kg, organ scholar (1935-1939), honorary fellow (1969), prime minister (1970-1974) \\
5 & 1972 & self portrait & none & none & none & none \\
6 & none & her majesty the queen with her dogs at frogmore & see cuneo society website & none & none & subject: queen elizabeth ii (b. 1926) \\
7 & none & bentley vs the blue train & view see cuneo society website & none & none & scene: 1930 cannes to calais maritime race \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& sum ( "year" ) \\
\midrule
0 & 1942 \\
\bottomrule
\end{tabular}
| select sum ( year ) where year = 1942 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>title</th>
<th>image</th>
<th>dimensions</th>
<th>collection</th>
<th>comments</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1942</td>
<td>assassination of heydrich (c. 1942; originally may have been untitled), oil on canvas on board</td>
<td>view</td>
<td>61.4 × 76.1 cm. (24.2 × 30 in.)</td>
<td>the national archives, kew, richmond, uk</td>
<td>subject: ss-general reinhard heydrich (1904-1942; operation anthropoid). artwork created for ministry of information during second world war. inf 3/24</td>
</tr>
<tr>
<th>1</th>
<td>1944</td>
<td>production of tanks (original may have been untitled), oil on canvas</td>
<td>view</td>
<td>51.3 × 61.5 cm. (20.2 × 24.2 in.)</td>
<td>the national archives, kew, richmond, uk</td>
<td>scene: workers manufacture churchill tanks on a factory production line. artwork created for ministry of information during second world war. inf 3/17</td>
</tr>
<tr>
<th>2</th>
<td>1968</td>
<td>express engines at tyseley, oil on canvas</td>
<td>view view</td>
<td>75 × 100 cm. (29.5 × 39.4 in.)</td>
<td>none</td>
<td>scene: rolling stock-london, midland and scottish railway no.5593/45593 jubilee kolhapur and great western railway no.7029 clun castle- at tyseley locomotive works, birmingham, west midlands</td>
</tr>
<tr>
<th>3</th>
<td>1972</td>
<td>field marshall viscount montgomery of alamein, oil on canvas</td>
<td>view</td>
<td>125 × 100 cm. (49.2 × 39.4 in.)</td>
<td>defence academy of the united kingdom, shrivenham, oxfordshire</td>
<td>subject: field marshal bernard law montgomery (1887-1976), 1st viscount montgomery of alamein, gcb, dso. artwork commissioned by the army staff college, 1971</td>
</tr>
<tr>
<th>4</th>
<td>1971</td>
<td>sir edward heath</td>
<td>view</td>
<td>123 × 99 cm. (48.4 × 39 in.)</td>
<td>balliol college, university of oxford, oxford</td>
<td>subject: sir edward heath (1916-2005), kg, organ scholar (1935-1939), honorary fellow (1969), prime minister (1970-1974)</td>
</tr>
<tr>
<th>5</th>
<td>1972</td>
<td>self portrait</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>none</td>
<td>her majesty the queen with her dogs at frogmore</td>
<td>see cuneo society website</td>
<td>none</td>
<td>none</td>
<td>subject: queen elizabeth ii (b. 1926)</td>
</tr>
<tr>
<th>7</th>
<td>none</td>
<td>bentley vs the blue train</td>
<td>view see cuneo society website</td>
<td>none</td>
<td>none</td>
<td>scene: 1930 cannes to calais maritime race</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>sum ( "year" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1942</td>
</tr>
</tbody>
</table> | select sum ( year ) where year = 1942 <table_name> : table | | year | title | image | dimensions | collection | comments |
|---:|:-------|:-----------------------------------------------------------------------------------------------|:-------------------------------|:----------------------------------|:---------------------------------------------------------------|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| 0 | 1942 | assassination of heydrich (c. 1942; originally may have been untitled), oil on canvas on board | view | 61.4 × 76.1 cm. (24.2 × 30 in.) | the national archives, kew, richmond, uk | subject: ss-general reinhard heydrich (1904-1942; operation anthropoid). artwork created for ministry of information during second world war. inf 3/24 |
| 1 | 1944 | production of tanks (original may have been untitled), oil on canvas | view | 51.3 × 61.5 cm. (20.2 × 24.2 in.) | the national archives, kew, richmond, uk | scene: workers manufacture churchill tanks on a factory production line. artwork created for ministry of information during second world war. inf 3/17 |
| 2 | 1968 | express engines at tyseley, oil on canvas | view view | 75 × 100 cm. (29.5 × 39.4 in.) | none | scene: rolling stock-london, midland and scottish railway no.5593/45593 jubilee kolhapur and great western railway no.7029 clun castle- at tyseley locomotive works, birmingham, west midlands |
| 3 | 1972 | field marshall viscount montgomery of alamein, oil on canvas | view | 125 × 100 cm. (49.2 × 39.4 in.) | defence academy of the united kingdom, shrivenham, oxfordshire | subject: field marshal bernard law montgomery (1887-1976), 1st viscount montgomery of alamein, gcb, dso. artwork commissioned by the army staff college, 1971 |
| 4 | 1971 | sir edward heath | view | 123 × 99 cm. (48.4 × 39 in.) | balliol college, university of oxford, oxford | subject: sir edward heath (1916-2005), kg, organ scholar (1935-1939), honorary fellow (1969), prime minister (1970-1974) |
| 5 | 1972 | self portrait | none | none | none | none |
| 6 | none | her majesty the queen with her dogs at frogmore | see cuneo society website | none | none | subject: queen elizabeth ii (b. 1926) |
| 7 | none | bentley vs the blue train | view see cuneo society website | none | none | scene: 1930 cannes to calais maritime race | | | | sum ( "year" ) |
|---:|-----------------:|
| 0 | 1942 | | [
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select flash size where eeprom = 128 col : chip | flash size | eeprom | sram | frequency [mhz] | package row 1 : at90s1200 | 1k | 64 | 0 | 12 | pdip-20 row 2 : at90s2313 | 2k | 128 | 128 | 10 | pdip-20 row 3 : at90s/ls2323 | 2k | 128 | 128 | 10 | pdip-8 row 4 : at90s/ls2343 | 2k | 128 | 128 | 10 | pdip-8 row 5 : at90s4414 | 4k | 256 | 256 | 8 | pdip-40 row 6 : at90s/ls4434 | 4k | 256 | 256 | 8 | pdip-40 row 7 : at90s8515 | 8k | 512 | 512 | 8 | pdip-40 row 8 : at90s/ls8535 | 8k | 512 | 512 | 8 | pdip-40 | col : flash size row 1 : 2k row 2 : 2k row 3 : 2k | select flash size where eeprom = 128 <table_name> : table \begin{tabular}{lllllll}
\toprule
& chip & flash size & eeprom & sram & frequency [mhz] & package \\
\midrule
0 & at90s1200 & 1k & 64 & 0 & 12 & pdip-20 \\
1 & at90s2313 & 2k & 128 & 128 & 10 & pdip-20 \\
2 & at90s/ls2323 & 2k & 128 & 128 & 10 & pdip-8 \\
3 & at90s/ls2343 & 2k & 128 & 128 & 10 & pdip-8 \\
4 & at90s4414 & 4k & 256 & 256 & 8 & pdip-40 \\
5 & at90s/ls4434 & 4k & 256 & 256 & 8 & pdip-40 \\
6 & at90s8515 & 8k & 512 & 512 & 8 & pdip-40 \\
7 & at90s/ls8535 & 8k & 512 & 512 & 8 & pdip-40 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& flash size \\
\midrule
0 & 2k \\
1 & 2k \\
2 & 2k \\
\bottomrule
\end{tabular}
| select flash size where eeprom = 128 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>chip</th>
<th>flash size</th>
<th>eeprom</th>
<th>sram</th>
<th>frequency [mhz]</th>
<th>package</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>at90s1200</td>
<td>1k</td>
<td>64</td>
<td>0</td>
<td>12</td>
<td>pdip-20</td>
</tr>
<tr>
<th>1</th>
<td>at90s2313</td>
<td>2k</td>
<td>128</td>
<td>128</td>
<td>10</td>
<td>pdip-20</td>
</tr>
<tr>
<th>2</th>
<td>at90s/ls2323</td>
<td>2k</td>
<td>128</td>
<td>128</td>
<td>10</td>
<td>pdip-8</td>
</tr>
<tr>
<th>3</th>
<td>at90s/ls2343</td>
<td>2k</td>
<td>128</td>
<td>128</td>
<td>10</td>
<td>pdip-8</td>
</tr>
<tr>
<th>4</th>
<td>at90s4414</td>
<td>4k</td>
<td>256</td>
<td>256</td>
<td>8</td>
<td>pdip-40</td>
</tr>
<tr>
<th>5</th>
<td>at90s/ls4434</td>
<td>4k</td>
<td>256</td>
<td>256</td>
<td>8</td>
<td>pdip-40</td>
</tr>
<tr>
<th>6</th>
<td>at90s8515</td>
<td>8k</td>
<td>512</td>
<td>512</td>
<td>8</td>
<td>pdip-40</td>
</tr>
<tr>
<th>7</th>
<td>at90s/ls8535</td>
<td>8k</td>
<td>512</td>
<td>512</td>
<td>8</td>
<td>pdip-40</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>flash size</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2k</td>
</tr>
<tr>
<th>1</th>
<td>2k</td>
</tr>
<tr>
<th>2</th>
<td>2k</td>
</tr>
</tbody>
</table> | select flash size where eeprom = 128 <table_name> : table | | chip | flash size | eeprom | sram | frequency [mhz] | package |
|---:|:-------------|:-------------|---------:|-------:|------------------:|:----------|
| 0 | at90s1200 | 1k | 64 | 0 | 12 | pdip-20 |
| 1 | at90s2313 | 2k | 128 | 128 | 10 | pdip-20 |
| 2 | at90s/ls2323 | 2k | 128 | 128 | 10 | pdip-8 |
| 3 | at90s/ls2343 | 2k | 128 | 128 | 10 | pdip-8 |
| 4 | at90s4414 | 4k | 256 | 256 | 8 | pdip-40 |
| 5 | at90s/ls4434 | 4k | 256 | 256 | 8 | pdip-40 |
| 6 | at90s8515 | 8k | 512 | 512 | 8 | pdip-40 |
| 7 | at90s/ls8535 | 8k | 512 | 512 | 8 | pdip-40 | | | | flash size |
|---:|:-------------|
| 0 | 2k |
| 1 | 2k |
| 2 | 2k | | [
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select count ( star ) where star = 'upsilon librae' col : star | start year | end year | maximum year | maximum magnitude | distance at maximum (ly) | current distance | current magnitude row 1 : epsilon canis majoris | none | -4,460,000 | -4,700,000 | -3.99 | 34.0 | 430.0 | 1.5 row 2 : beta canis majoris | -4,460,000 | -3,700,000 | -4,420,000 | -3.65 | 37.0 | 500.0 | 1.99 row 3 : canopus (first time) | -3,700,000 | -1,370,000 | -3,110,000 | -1.86 | 177.0 | 310.0 | -0.72 row 4 : zeta sagittarii | -1,370,000 | -1,080,000 | -1,200,000 | -2.74 | 8.0 | 89.1 | 2.6 row 5 : zeta leporis | -1,080,000 | -950,000 | -1,050,000 | -2.05 | 5.3 | 70.0 | 3.55 row 6 : canopus (second time) | -950,000 | -420,000 | -950,000 | -1.09 | 252.0 | 310.0 | -0.72 row 7 : aldebaran | -420,000 | -210,000 | -320,000 | -1.54 | 21.5 | 65.0 | 0.85 row 8 : capella | -210,000 | -160,000 | -240,000 | -0.82 | 27.9 | 42.2 | 0.08 row 9 : canopus (third time) | -160,000 | -90,000 | -160,000 | -0.7 | 302.0 | 310.0 | -0.72 row 10 : sirius (current) | -90,000 | +210,000 | +60,000 | -1.64 | 7.8 | 8.6 | -1.46 row 11 : vega | +210,000 | +480,000 | +290,000 | -0.81 | 17.2 | 25.04 | 0.03 row 12 : canopus (fourth time) | +480,000 | +990,000 | +480,000 | -0.4 | 346.0 | 310.0 | -0.72 row 13 : beta aurigae | +990,000 | +1,150,000 | +1,190,000 | -0.4 | 28.5 | 82.1 | 1.9 row 14 : delta scuti | +1,150,000 | +1,330,000 | +1,250,000 | -1.84 | 9.2 | 187.0 | 4.72 row 15 : gamma draconis | +1,330,000 | +2,030,000 | +1,550,000 | -1.39 | 27.7 | 154.0 | 2.36 row 16 : upsilon librae | +2,030,000 | +2,670,000 | +2,290,000 | -0.46 | 30.0 | 195.0 | 3.6 row 17 : nr canis majoris | +2,670,000 | +3,050,000 | +2,870,000 | -0.88 | 14.0 | 280.0 | 5.6 row 18 : omicron herculis | +3,050,000 | +3,870,000 | +3,470,000 | -0.63 | 44.0 | 346.0 | 3.83 row 19 : beta cygni | +3,870,000 | none | +4,610,000 | -0.52 | 80.0 | 390.0 | 3.18 | col : count ( "star" ) row 1 : 1 | select count ( star ) where star = 'upsilon librae' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& star & start year & end year & maximum year & maximum magnitude & distance at maximum (ly) & current distance & current magnitude \\
\midrule
0 & epsilon canis majoris & none & -4,460,000 & -4,700,000 & -3.99 & 34.0 & 430.0 & 1.5 \\
1 & beta canis majoris & -4,460,000 & -3,700,000 & -4,420,000 & -3.65 & 37.0 & 500.0 & 1.99 \\
2 & canopus (first time) & -3,700,000 & -1,370,000 & -3,110,000 & -1.86 & 177.0 & 310.0 & -0.72 \\
3 & zeta sagittarii & -1,370,000 & -1,080,000 & -1,200,000 & -2.74 & 8.0 & 89.1 & 2.6 \\
4 & zeta leporis & -1,080,000 & -950,000 & -1,050,000 & -2.05 & 5.3 & 70.0 & 3.55 \\
5 & canopus (second time) & -950,000 & -420,000 & -950,000 & -1.09 & 252.0 & 310.0 & -0.72 \\
6 & aldebaran & -420,000 & -210,000 & -320,000 & -1.54 & 21.5 & 65.0 & 0.85 \\
7 & capella & -210,000 & -160,000 & -240,000 & -0.82 & 27.9 & 42.2 & 0.08 \\
8 & canopus (third time) & -160,000 & -90,000 & -160,000 & -0.7 & 302.0 & 310.0 & -0.72 \\
9 & sirius (current) & -90,000 & +210,000 & +60,000 & -1.64 & 7.8 & 8.6 & -1.46 \\
10 & vega & +210,000 & +480,000 & +290,000 & -0.81 & 17.2 & 25.04 & 0.03 \\
11 & canopus (fourth time) & +480,000 & +990,000 & +480,000 & -0.4 & 346.0 & 310.0 & -0.72 \\
12 & beta aurigae & +990,000 & +1,150,000 & +1,190,000 & -0.4 & 28.5 & 82.1 & 1.9 \\
13 & delta scuti & +1,150,000 & +1,330,000 & +1,250,000 & -1.84 & 9.2 & 187.0 & 4.72 \\
14 & gamma draconis & +1,330,000 & +2,030,000 & +1,550,000 & -1.39 & 27.7 & 154.0 & 2.36 \\
15 & upsilon librae & +2,030,000 & +2,670,000 & +2,290,000 & -0.46 & 30.0 & 195.0 & 3.6 \\
16 & nr canis majoris & +2,670,000 & +3,050,000 & +2,870,000 & -0.88 & 14.0 & 280.0 & 5.6 \\
17 & omicron herculis & +3,050,000 & +3,870,000 & +3,470,000 & -0.63 & 44.0 & 346.0 & 3.83 \\
18 & beta cygni & +3,870,000 & none & +4,610,000 & -0.52 & 80.0 & 390.0 & 3.18 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "star" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( star ) where star = 'upsilon librae' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>star</th>
<th>start year</th>
<th>end year</th>
<th>maximum year</th>
<th>maximum magnitude</th>
<th>distance at maximum (ly)</th>
<th>current distance</th>
<th>current magnitude</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>epsilon canis majoris</td>
<td>none</td>
<td>-4,460,000</td>
<td>-4,700,000</td>
<td>-3.99</td>
<td>34.0</td>
<td>430.0</td>
<td>1.5</td>
</tr>
<tr>
<th>1</th>
<td>beta canis majoris</td>
<td>-4,460,000</td>
<td>-3,700,000</td>
<td>-4,420,000</td>
<td>-3.65</td>
<td>37.0</td>
<td>500.0</td>
<td>1.99</td>
</tr>
<tr>
<th>2</th>
<td>canopus (first time)</td>
<td>-3,700,000</td>
<td>-1,370,000</td>
<td>-3,110,000</td>
<td>-1.86</td>
<td>177.0</td>
<td>310.0</td>
<td>-0.72</td>
</tr>
<tr>
<th>3</th>
<td>zeta sagittarii</td>
<td>-1,370,000</td>
<td>-1,080,000</td>
<td>-1,200,000</td>
<td>-2.74</td>
<td>8.0</td>
<td>89.1</td>
<td>2.6</td>
</tr>
<tr>
<th>4</th>
<td>zeta leporis</td>
<td>-1,080,000</td>
<td>-950,000</td>
<td>-1,050,000</td>
<td>-2.05</td>
<td>5.3</td>
<td>70.0</td>
<td>3.55</td>
</tr>
<tr>
<th>5</th>
<td>canopus (second time)</td>
<td>-950,000</td>
<td>-420,000</td>
<td>-950,000</td>
<td>-1.09</td>
<td>252.0</td>
<td>310.0</td>
<td>-0.72</td>
</tr>
<tr>
<th>6</th>
<td>aldebaran</td>
<td>-420,000</td>
<td>-210,000</td>
<td>-320,000</td>
<td>-1.54</td>
<td>21.5</td>
<td>65.0</td>
<td>0.85</td>
</tr>
<tr>
<th>7</th>
<td>capella</td>
<td>-210,000</td>
<td>-160,000</td>
<td>-240,000</td>
<td>-0.82</td>
<td>27.9</td>
<td>42.2</td>
<td>0.08</td>
</tr>
<tr>
<th>8</th>
<td>canopus (third time)</td>
<td>-160,000</td>
<td>-90,000</td>
<td>-160,000</td>
<td>-0.7</td>
<td>302.0</td>
<td>310.0</td>
<td>-0.72</td>
</tr>
<tr>
<th>9</th>
<td>sirius (current)</td>
<td>-90,000</td>
<td>+210,000</td>
<td>+60,000</td>
<td>-1.64</td>
<td>7.8</td>
<td>8.6</td>
<td>-1.46</td>
</tr>
<tr>
<th>10</th>
<td>vega</td>
<td>+210,000</td>
<td>+480,000</td>
<td>+290,000</td>
<td>-0.81</td>
<td>17.2</td>
<td>25.04</td>
<td>0.03</td>
</tr>
<tr>
<th>11</th>
<td>canopus (fourth time)</td>
<td>+480,000</td>
<td>+990,000</td>
<td>+480,000</td>
<td>-0.4</td>
<td>346.0</td>
<td>310.0</td>
<td>-0.72</td>
</tr>
<tr>
<th>12</th>
<td>beta aurigae</td>
<td>+990,000</td>
<td>+1,150,000</td>
<td>+1,190,000</td>
<td>-0.4</td>
<td>28.5</td>
<td>82.1</td>
<td>1.9</td>
</tr>
<tr>
<th>13</th>
<td>delta scuti</td>
<td>+1,150,000</td>
<td>+1,330,000</td>
<td>+1,250,000</td>
<td>-1.84</td>
<td>9.2</td>
<td>187.0</td>
<td>4.72</td>
</tr>
<tr>
<th>14</th>
<td>gamma draconis</td>
<td>+1,330,000</td>
<td>+2,030,000</td>
<td>+1,550,000</td>
<td>-1.39</td>
<td>27.7</td>
<td>154.0</td>
<td>2.36</td>
</tr>
<tr>
<th>15</th>
<td>upsilon librae</td>
<td>+2,030,000</td>
<td>+2,670,000</td>
<td>+2,290,000</td>
<td>-0.46</td>
<td>30.0</td>
<td>195.0</td>
<td>3.6</td>
</tr>
<tr>
<th>16</th>
<td>nr canis majoris</td>
<td>+2,670,000</td>
<td>+3,050,000</td>
<td>+2,870,000</td>
<td>-0.88</td>
<td>14.0</td>
<td>280.0</td>
<td>5.6</td>
</tr>
<tr>
<th>17</th>
<td>omicron herculis</td>
<td>+3,050,000</td>
<td>+3,870,000</td>
<td>+3,470,000</td>
<td>-0.63</td>
<td>44.0</td>
<td>346.0</td>
<td>3.83</td>
</tr>
<tr>
<th>18</th>
<td>beta cygni</td>
<td>+3,870,000</td>
<td>none</td>
<td>+4,610,000</td>
<td>-0.52</td>
<td>80.0</td>
<td>390.0</td>
<td>3.18</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "star" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( star ) where star = 'upsilon librae' <table_name> : table | | star | start year | end year | maximum year | maximum magnitude | distance at maximum (ly) | current distance | current magnitude |
|---:|:----------------------|:-------------|:-----------|:---------------|--------------------:|---------------------------:|-------------------:|--------------------:|
| 0 | epsilon canis majoris | none | -4,460,000 | -4,700,000 | -3.99 | 34 | 430 | 1.5 |
| 1 | beta canis majoris | -4,460,000 | -3,700,000 | -4,420,000 | -3.65 | 37 | 500 | 1.99 |
| 2 | canopus (first time) | -3,700,000 | -1,370,000 | -3,110,000 | -1.86 | 177 | 310 | -0.72 |
| 3 | zeta sagittarii | -1,370,000 | -1,080,000 | -1,200,000 | -2.74 | 8 | 89.1 | 2.6 |
| 4 | zeta leporis | -1,080,000 | -950,000 | -1,050,000 | -2.05 | 5.3 | 70 | 3.55 |
| 5 | canopus (second time) | -950,000 | -420,000 | -950,000 | -1.09 | 252 | 310 | -0.72 |
| 6 | aldebaran | -420,000 | -210,000 | -320,000 | -1.54 | 21.5 | 65 | 0.85 |
| 7 | capella | -210,000 | -160,000 | -240,000 | -0.82 | 27.9 | 42.2 | 0.08 |
| 8 | canopus (third time) | -160,000 | -90,000 | -160,000 | -0.7 | 302 | 310 | -0.72 |
| 9 | sirius (current) | -90,000 | +210,000 | +60,000 | -1.64 | 7.8 | 8.6 | -1.46 |
| 10 | vega | +210,000 | +480,000 | +290,000 | -0.81 | 17.2 | 25.04 | 0.03 |
| 11 | canopus (fourth time) | +480,000 | +990,000 | +480,000 | -0.4 | 346 | 310 | -0.72 |
| 12 | beta aurigae | +990,000 | +1,150,000 | +1,190,000 | -0.4 | 28.5 | 82.1 | 1.9 |
| 13 | delta scuti | +1,150,000 | +1,330,000 | +1,250,000 | -1.84 | 9.2 | 187 | 4.72 |
| 14 | gamma draconis | +1,330,000 | +2,030,000 | +1,550,000 | -1.39 | 27.7 | 154 | 2.36 |
| 15 | upsilon librae | +2,030,000 | +2,670,000 | +2,290,000 | -0.46 | 30 | 195 | 3.6 |
| 16 | nr canis majoris | +2,670,000 | +3,050,000 | +2,870,000 | -0.88 | 14 | 280 | 5.6 |
| 17 | omicron herculis | +3,050,000 | +3,870,000 | +3,470,000 | -0.63 | 44 | 346 | 3.83 |
| 18 | beta cygni | +3,870,000 | none | +4,610,000 | -0.52 | 80 | 390 | 3.18 | | | | count ( "star" ) |
|---:|-------------------:|
| 0 | 1 | | [
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select avg ( no. ) where name = 'gil kerlikowske' col : no. | name | term of office | president(s) served under row 1 : 1 | william bennett | 1989 - 1991 | george h. w. bush row 2 : 2 | bob martinez | march 28, 1991 - january 20, 1993 | george h. w. bush row 3 : 3 | lee p. brown | january 1993 - december 12, 1995 | bill clinton row 4 : 4 | barry mccaffrey | february 29, 1996 - january 4, 2001 | bill clinton row 5 : 5 | john p. walters | december 7, 2001 - january 19, 2009 | george w. bush row 6 : 6 | gil kerlikowske | may 7, 2009 - march 6, 2014 | barack obama row 7 : acting | michael botticelli | march 6, 2014 - | barack obama | col : avg ( "no." ) row 1 : 6 | select avg ( no. ) where name = 'gil kerlikowske' <table_name> : table \begin{tabular}{lllll}
\toprule
& no. & name & term of office & president(s) served under \\
\midrule
0 & 1 & william bennett & 1989 - 1991 & george h. w. bush \\
1 & 2 & bob martinez & march 28, 1991 - january 20, 1993 & george h. w. bush \\
2 & 3 & lee p. brown & january 1993 - december 12, 1995 & bill clinton \\
3 & 4 & barry mccaffrey & february 29, 1996 - january 4, 2001 & bill clinton \\
4 & 5 & john p. walters & december 7, 2001 - january 19, 2009 & george w. bush \\
5 & 6 & gil kerlikowske & may 7, 2009 - march 6, 2014 & barack obama \\
6 & acting & michael botticelli & march 6, 2014 - & barack obama \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& avg ( "no." ) \\
\midrule
0 & 6 \\
\bottomrule
\end{tabular}
| select avg ( no. ) where name = 'gil kerlikowske' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>no.</th>
<th>name</th>
<th>term of office</th>
<th>president(s) served under</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>william bennett</td>
<td>1989 - 1991</td>
<td>george h. w. bush</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>bob martinez</td>
<td>march 28, 1991 - january 20, 1993</td>
<td>george h. w. bush</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>lee p. brown</td>
<td>january 1993 - december 12, 1995</td>
<td>bill clinton</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>barry mccaffrey</td>
<td>february 29, 1996 - january 4, 2001</td>
<td>bill clinton</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>john p. walters</td>
<td>december 7, 2001 - january 19, 2009</td>
<td>george w. bush</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>gil kerlikowske</td>
<td>may 7, 2009 - march 6, 2014</td>
<td>barack obama</td>
</tr>
<tr>
<th>6</th>
<td>acting</td>
<td>michael botticelli</td>
<td>march 6, 2014 -</td>
<td>barack obama</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>avg ( "no." )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>6</td>
</tr>
</tbody>
</table> | select avg ( no. ) where name = 'gil kerlikowske' <table_name> : table | | no. | name | term of office | president(s) served under |
|---:|:-------|:-------------------|:------------------------------------|:----------------------------|
| 0 | 1 | william bennett | 1989 - 1991 | george h. w. bush |
| 1 | 2 | bob martinez | march 28, 1991 - january 20, 1993 | george h. w. bush |
| 2 | 3 | lee p. brown | january 1993 - december 12, 1995 | bill clinton |
| 3 | 4 | barry mccaffrey | february 29, 1996 - january 4, 2001 | bill clinton |
| 4 | 5 | john p. walters | december 7, 2001 - january 19, 2009 | george w. bush |
| 5 | 6 | gil kerlikowske | may 7, 2009 - march 6, 2014 | barack obama |
| 6 | acting | michael botticelli | march 6, 2014 - | barack obama | | | | avg ( "no." ) |
|---:|----------------:|
| 0 | 6 | | [
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] |
select count ( location ) where silver = 'larisa latynina' col : year | location | gold | silver | bronze row 1 : 1950 | basel | helena rakoczy | tereza kocis | stefania reindlova row 2 : 1954 | rome | tamara manina | eva bosakova | maria gorokovskaya row 3 : 1958 | moscow | eva bosakova | larisa latynina | keiko tanaka row 4 : 1962 | prague | larisa latynina | irina pervuschina | vera caslavska row 5 : 1966 | dortmund | natalia kutchinskaya | vera caslavska | zinaida drougina row 6 : 1970 | ljubljana | ludmila turicheva | olga karaseva | zinaida voronina row 7 : 1974 | varna | ludmila turicheva | olga korbut | elvira saadi rusudan siharulidze row 8 : 1978 | strasbourg | nellie kim elena mukhina | none | emilia eberle kathy johnson row 9 : 1979 | fort worth | emilia eberle | nellie kim | melita ruhn row 10 : 1981 | moscow | natalia ilienko | yelena davydova | zoja grantcharova row 11 : 1983 | budapest | ekaterina szabo | olga mostepanova | boriana stoyanova row 12 : 1985 | montreal | oksana omelianchik | elena shushunova | ulrike klotz row 13 : 1987 | rotterdam | daniela silivas elena shushunova | none | aurelia dobre row 14 : 1989 | stuttgart | daniela silivas svetlana boguinskaya | none | cristina bontas row 15 : 1991 | indianapolis | cristina bontas oksana chusovitina | none | kim zmeskal row 16 : 1992 | paris | kim zmeskal | henrietta onodi | maria neculita tatiana lysenko row 17 : 1993 | birmingham | shannon miller | gina gogean | natalia bobrova row 18 : 1994 | brisbane | dina kochetkova | lavinia milosovici | gina gogean row 19 : 1995 | sabae | gina gogean | ji liya | ludivine furnon row 20 : 1996 | san juan | kui yuan-yuan gina gogean | none | liubov sheremeta lavinia milosovici row 21 : 1997 | lausanne | gina gogean | svetlana khorkina | elena produnova row 22 : 1999 | tianjin | andreea raducan | simona amanar | svetlana khorkina row 23 : 2001 | ghent | andreea raducan | daniele hypolito | svetlana khorkina row 24 : 2002 | debrecen | elena gomez | verona van de leur | samantha sheehan row 25 : 2003 | anaheim | daiane dos santos | catalina ponor | elena gomez row 26 : 2005 | melbourne | alicia sacramone | anastasia liukin | suzanne harmes row 27 : 2006 | aarhus | cheng fei | jana bieger | vanessa ferrari row 28 : 2007 | stuttgart | shawn johnson | alicia sacramone | cassy vericel row 29 : 2009 | london | elizabeth tweddle | lauren mitchell | sui lu row 30 : 2010 | rotterdam | lauren mitchell | aliya mustafina diana chelaru | none row 31 : 2011 | tokyo | ksenia afanasyeva | sui lu | aly raisman row 32 : 2013 | antwerp | simone biles | vanessa ferrari | larisa iordache row 33 : 2014 | nanning | none | none | none row 34 : 2015 | glasgow | none | none | none | col : count ( "location" ) row 1 : 1 | select count ( location ) where silver = 'larisa latynina' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & location & gold & silver & bronze \\
\midrule
0 & 1950 & basel & helena rakoczy & tereza kocis & stefania reindlova \\
1 & 1954 & rome & tamara manina & eva bosakova & maria gorokovskaya \\
2 & 1958 & moscow & eva bosakova & larisa latynina & keiko tanaka \\
3 & 1962 & prague & larisa latynina & irina pervuschina & vera caslavska \\
4 & 1966 & dortmund & natalia kutchinskaya & vera caslavska & zinaida drougina \\
5 & 1970 & ljubljana & ludmila turicheva & olga karaseva & zinaida voronina \\
6 & 1974 & varna & ludmila turicheva & olga korbut & elvira saadi rusudan siharulidze \\
7 & 1978 & strasbourg & nellie kim elena mukhina & none & emilia eberle kathy johnson \\
8 & 1979 & fort worth & emilia eberle & nellie kim & melita ruhn \\
9 & 1981 & moscow & natalia ilienko & yelena davydova & zoja grantcharova \\
10 & 1983 & budapest & ekaterina szabo & olga mostepanova & boriana stoyanova \\
11 & 1985 & montreal & oksana omelianchik & elena shushunova & ulrike klotz \\
12 & 1987 & rotterdam & daniela silivas elena shushunova & none & aurelia dobre \\
13 & 1989 & stuttgart & daniela silivas svetlana boguinskaya & none & cristina bontas \\
14 & 1991 & indianapolis & cristina bontas oksana chusovitina & none & kim zmeskal \\
15 & 1992 & paris & kim zmeskal & henrietta onodi & maria neculita tatiana lysenko \\
16 & 1993 & birmingham & shannon miller & gina gogean & natalia bobrova \\
17 & 1994 & brisbane & dina kochetkova & lavinia milosovici & gina gogean \\
18 & 1995 & sabae & gina gogean & ji liya & ludivine furnon \\
19 & 1996 & san juan & kui yuan-yuan gina gogean & none & liubov sheremeta lavinia milosovici \\
20 & 1997 & lausanne & gina gogean & svetlana khorkina & elena produnova \\
21 & 1999 & tianjin & andreea raducan & simona amanar & svetlana khorkina \\
22 & 2001 & ghent & andreea raducan & daniele hypolito & svetlana khorkina \\
23 & 2002 & debrecen & elena gomez & verona van de leur & samantha sheehan \\
24 & 2003 & anaheim & daiane dos santos & catalina ponor & elena gomez \\
25 & 2005 & melbourne & alicia sacramone & anastasia liukin & suzanne harmes \\
26 & 2006 & aarhus & cheng fei & jana bieger & vanessa ferrari \\
27 & 2007 & stuttgart & shawn johnson & alicia sacramone & cassy vericel \\
28 & 2009 & london & elizabeth tweddle & lauren mitchell & sui lu \\
29 & 2010 & rotterdam & lauren mitchell & aliya mustafina diana chelaru & none \\
30 & 2011 & tokyo & ksenia afanasyeva & sui lu & aly raisman \\
31 & 2013 & antwerp & simone biles & vanessa ferrari & larisa iordache \\
32 & 2014 & nanning & none & none & none \\
33 & 2015 & glasgow & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "location" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( location ) where silver = 'larisa latynina' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>location</th>
<th>gold</th>
<th>silver</th>
<th>bronze</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1950</td>
<td>basel</td>
<td>helena rakoczy</td>
<td>tereza kocis</td>
<td>stefania reindlova</td>
</tr>
<tr>
<th>1</th>
<td>1954</td>
<td>rome</td>
<td>tamara manina</td>
<td>eva bosakova</td>
<td>maria gorokovskaya</td>
</tr>
<tr>
<th>2</th>
<td>1958</td>
<td>moscow</td>
<td>eva bosakova</td>
<td>larisa latynina</td>
<td>keiko tanaka</td>
</tr>
<tr>
<th>3</th>
<td>1962</td>
<td>prague</td>
<td>larisa latynina</td>
<td>irina pervuschina</td>
<td>vera caslavska</td>
</tr>
<tr>
<th>4</th>
<td>1966</td>
<td>dortmund</td>
<td>natalia kutchinskaya</td>
<td>vera caslavska</td>
<td>zinaida drougina</td>
</tr>
<tr>
<th>5</th>
<td>1970</td>
<td>ljubljana</td>
<td>ludmila turicheva</td>
<td>olga karaseva</td>
<td>zinaida voronina</td>
</tr>
<tr>
<th>6</th>
<td>1974</td>
<td>varna</td>
<td>ludmila turicheva</td>
<td>olga korbut</td>
<td>elvira saadi rusudan siharulidze</td>
</tr>
<tr>
<th>7</th>
<td>1978</td>
<td>strasbourg</td>
<td>nellie kim elena mukhina</td>
<td>none</td>
<td>emilia eberle kathy johnson</td>
</tr>
<tr>
<th>8</th>
<td>1979</td>
<td>fort worth</td>
<td>emilia eberle</td>
<td>nellie kim</td>
<td>melita ruhn</td>
</tr>
<tr>
<th>9</th>
<td>1981</td>
<td>moscow</td>
<td>natalia ilienko</td>
<td>yelena davydova</td>
<td>zoja grantcharova</td>
</tr>
<tr>
<th>10</th>
<td>1983</td>
<td>budapest</td>
<td>ekaterina szabo</td>
<td>olga mostepanova</td>
<td>boriana stoyanova</td>
</tr>
<tr>
<th>11</th>
<td>1985</td>
<td>montreal</td>
<td>oksana omelianchik</td>
<td>elena shushunova</td>
<td>ulrike klotz</td>
</tr>
<tr>
<th>12</th>
<td>1987</td>
<td>rotterdam</td>
<td>daniela silivas elena shushunova</td>
<td>none</td>
<td>aurelia dobre</td>
</tr>
<tr>
<th>13</th>
<td>1989</td>
<td>stuttgart</td>
<td>daniela silivas svetlana boguinskaya</td>
<td>none</td>
<td>cristina bontas</td>
</tr>
<tr>
<th>14</th>
<td>1991</td>
<td>indianapolis</td>
<td>cristina bontas oksana chusovitina</td>
<td>none</td>
<td>kim zmeskal</td>
</tr>
<tr>
<th>15</th>
<td>1992</td>
<td>paris</td>
<td>kim zmeskal</td>
<td>henrietta onodi</td>
<td>maria neculita tatiana lysenko</td>
</tr>
<tr>
<th>16</th>
<td>1993</td>
<td>birmingham</td>
<td>shannon miller</td>
<td>gina gogean</td>
<td>natalia bobrova</td>
</tr>
<tr>
<th>17</th>
<td>1994</td>
<td>brisbane</td>
<td>dina kochetkova</td>
<td>lavinia milosovici</td>
<td>gina gogean</td>
</tr>
<tr>
<th>18</th>
<td>1995</td>
<td>sabae</td>
<td>gina gogean</td>
<td>ji liya</td>
<td>ludivine furnon</td>
</tr>
<tr>
<th>19</th>
<td>1996</td>
<td>san juan</td>
<td>kui yuan-yuan gina gogean</td>
<td>none</td>
<td>liubov sheremeta lavinia milosovici</td>
</tr>
<tr>
<th>20</th>
<td>1997</td>
<td>lausanne</td>
<td>gina gogean</td>
<td>svetlana khorkina</td>
<td>elena produnova</td>
</tr>
<tr>
<th>21</th>
<td>1999</td>
<td>tianjin</td>
<td>andreea raducan</td>
<td>simona amanar</td>
<td>svetlana khorkina</td>
</tr>
<tr>
<th>22</th>
<td>2001</td>
<td>ghent</td>
<td>andreea raducan</td>
<td>daniele hypolito</td>
<td>svetlana khorkina</td>
</tr>
<tr>
<th>23</th>
<td>2002</td>
<td>debrecen</td>
<td>elena gomez</td>
<td>verona van de leur</td>
<td>samantha sheehan</td>
</tr>
<tr>
<th>24</th>
<td>2003</td>
<td>anaheim</td>
<td>daiane dos santos</td>
<td>catalina ponor</td>
<td>elena gomez</td>
</tr>
<tr>
<th>25</th>
<td>2005</td>
<td>melbourne</td>
<td>alicia sacramone</td>
<td>anastasia liukin</td>
<td>suzanne harmes</td>
</tr>
<tr>
<th>26</th>
<td>2006</td>
<td>aarhus</td>
<td>cheng fei</td>
<td>jana bieger</td>
<td>vanessa ferrari</td>
</tr>
<tr>
<th>27</th>
<td>2007</td>
<td>stuttgart</td>
<td>shawn johnson</td>
<td>alicia sacramone</td>
<td>cassy vericel</td>
</tr>
<tr>
<th>28</th>
<td>2009</td>
<td>london</td>
<td>elizabeth tweddle</td>
<td>lauren mitchell</td>
<td>sui lu</td>
</tr>
<tr>
<th>29</th>
<td>2010</td>
<td>rotterdam</td>
<td>lauren mitchell</td>
<td>aliya mustafina diana chelaru</td>
<td>none</td>
</tr>
<tr>
<th>30</th>
<td>2011</td>
<td>tokyo</td>
<td>ksenia afanasyeva</td>
<td>sui lu</td>
<td>aly raisman</td>
</tr>
<tr>
<th>31</th>
<td>2013</td>
<td>antwerp</td>
<td>simone biles</td>
<td>vanessa ferrari</td>
<td>larisa iordache</td>
</tr>
<tr>
<th>32</th>
<td>2014</td>
<td>nanning</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>33</th>
<td>2015</td>
<td>glasgow</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 ( "location" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( location ) where silver = 'larisa latynina' <table_name> : table | | year | location | gold | silver | bronze |
|---:|-------:|:-------------|:-------------------------------------|:------------------------------|:------------------------------------|
| 0 | 1950 | basel | helena rakoczy | tereza kocis | stefania reindlova |
| 1 | 1954 | rome | tamara manina | eva bosakova | maria gorokovskaya |
| 2 | 1958 | moscow | eva bosakova | larisa latynina | keiko tanaka |
| 3 | 1962 | prague | larisa latynina | irina pervuschina | vera caslavska |
| 4 | 1966 | dortmund | natalia kutchinskaya | vera caslavska | zinaida drougina |
| 5 | 1970 | ljubljana | ludmila turicheva | olga karaseva | zinaida voronina |
| 6 | 1974 | varna | ludmila turicheva | olga korbut | elvira saadi rusudan siharulidze |
| 7 | 1978 | strasbourg | nellie kim elena mukhina | none | emilia eberle kathy johnson |
| 8 | 1979 | fort worth | emilia eberle | nellie kim | melita ruhn |
| 9 | 1981 | moscow | natalia ilienko | yelena davydova | zoja grantcharova |
| 10 | 1983 | budapest | ekaterina szabo | olga mostepanova | boriana stoyanova |
| 11 | 1985 | montreal | oksana omelianchik | elena shushunova | ulrike klotz |
| 12 | 1987 | rotterdam | daniela silivas elena shushunova | none | aurelia dobre |
| 13 | 1989 | stuttgart | daniela silivas svetlana boguinskaya | none | cristina bontas |
| 14 | 1991 | indianapolis | cristina bontas oksana chusovitina | none | kim zmeskal |
| 15 | 1992 | paris | kim zmeskal | henrietta onodi | maria neculita tatiana lysenko |
| 16 | 1993 | birmingham | shannon miller | gina gogean | natalia bobrova |
| 17 | 1994 | brisbane | dina kochetkova | lavinia milosovici | gina gogean |
| 18 | 1995 | sabae | gina gogean | ji liya | ludivine furnon |
| 19 | 1996 | san juan | kui yuan-yuan gina gogean | none | liubov sheremeta lavinia milosovici |
| 20 | 1997 | lausanne | gina gogean | svetlana khorkina | elena produnova |
| 21 | 1999 | tianjin | andreea raducan | simona amanar | svetlana khorkina |
| 22 | 2001 | ghent | andreea raducan | daniele hypolito | svetlana khorkina |
| 23 | 2002 | debrecen | elena gomez | verona van de leur | samantha sheehan |
| 24 | 2003 | anaheim | daiane dos santos | catalina ponor | elena gomez |
| 25 | 2005 | melbourne | alicia sacramone | anastasia liukin | suzanne harmes |
| 26 | 2006 | aarhus | cheng fei | jana bieger | vanessa ferrari |
| 27 | 2007 | stuttgart | shawn johnson | alicia sacramone | cassy vericel |
| 28 | 2009 | london | elizabeth tweddle | lauren mitchell | sui lu |
| 29 | 2010 | rotterdam | lauren mitchell | aliya mustafina diana chelaru | none |
| 30 | 2011 | tokyo | ksenia afanasyeva | sui lu | aly raisman |
| 31 | 2013 | antwerp | simone biles | vanessa ferrari | larisa iordache |
| 32 | 2014 | nanning | none | none | none |
| 33 | 2015 | glasgow | none | none | none | | | | count ( "location" ) |
|---:|-----------------------:|
| 0 | 1 | | [
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] |
select count ( * ) where change = '+18.4%' col : pos | team | total | high | low | average | change row 1 : 1 | honda motor | 13178 | 3305 | 402 | 879 | -11.9% row 2 : 2 | sc tottori | 12281 | 2124 | 401 | 819 | none row 3 : 3 | ntt west kumamoto | 10394 | 1378 | 324 | 693 | none row 4 : 4 | ehime fc | 9896 | 1250 | 348 | 660 | none row 5 : 5 | tochigi sc | 9723 | 1141 | 285 | 648 | -38.2% row 6 : 6 | otsuka pharmaceuticals | 8975 | 2391 | 284 | 598 | +18.4% row 7 : 7 | ykk fc | 8093 | 2477 | 198 | 540 | none row 8 : 8 | sony sendai | 7817 | 886 | 342 | 521 | -52.3% row 9 : 9 | yokogawa fc | 7334 | 1198 | 240 | 489 | -30.4% row 10 : 10 | alo's hokuriku | 6380 | 1801 | 180 | 425 | -12.1% row 11 : 11 | jatco fc | 6329 | 1075 | 167 | 422 | -36.7% row 12 : 12 | sagawa express | 5365 | 1054 | 48 | 358 | none row 13 : 13 | denso sc | 5344 | 831 | 119 | 356 | -17.7% row 14 : 14 | kyoken kyoto | 5262 | 468 | 203 | 351 | -9.0% row 15 : 15 | shizuoka sangyo university | 4013 | 803 | 101 | 268 | -48.8% row 16 : 16 | kokushikan university | 3298 | 414 | 54 | 220 | -28.3% row 17 : none | league total | 123682 | 3305 | 48 | 515 | -42.8% | col : count ( "*" ) row 1 : 1 | select count ( * ) where change = '+18.4%' <table_name> : table \begin{tabular}{llllllll}
\toprule
& pos & team & total & high & low & average & change \\
\midrule
0 & 1 & honda motor & 13178 & 3305 & 402 & 879 & -11.9% \\
1 & 2 & sc tottori & 12281 & 2124 & 401 & 819 & none \\
2 & 3 & ntt west kumamoto & 10394 & 1378 & 324 & 693 & none \\
3 & 4 & ehime fc & 9896 & 1250 & 348 & 660 & none \\
4 & 5 & tochigi sc & 9723 & 1141 & 285 & 648 & -38.2% \\
5 & 6 & otsuka pharmaceuticals & 8975 & 2391 & 284 & 598 & +18.4% \\
6 & 7 & ykk fc & 8093 & 2477 & 198 & 540 & none \\
7 & 8 & sony sendai & 7817 & 886 & 342 & 521 & -52.3% \\
8 & 9 & yokogawa fc & 7334 & 1198 & 240 & 489 & -30.4% \\
9 & 10 & alo's hokuriku & 6380 & 1801 & 180 & 425 & -12.1% \\
10 & 11 & jatco fc & 6329 & 1075 & 167 & 422 & -36.7% \\
11 & 12 & sagawa express & 5365 & 1054 & 48 & 358 & none \\
12 & 13 & denso sc & 5344 & 831 & 119 & 356 & -17.7% \\
13 & 14 & kyoken kyoto & 5262 & 468 & 203 & 351 & -9.0% \\
14 & 15 & shizuoka sangyo university & 4013 & 803 & 101 & 268 & -48.8% \\
15 & 16 & kokushikan university & 3298 & 414 & 54 & 220 & -28.3% \\
16 & none & league total & 123682 & 3305 & 48 & 515 & -42.8% \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where change = '+18.4%' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos</th>
<th>team</th>
<th>total</th>
<th>high</th>
<th>low</th>
<th>average</th>
<th>change</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>honda motor</td>
<td>13178</td>
<td>3305</td>
<td>402</td>
<td>879</td>
<td>-11.9%</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>sc tottori</td>
<td>12281</td>
<td>2124</td>
<td>401</td>
<td>819</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>ntt west kumamoto</td>
<td>10394</td>
<td>1378</td>
<td>324</td>
<td>693</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>ehime fc</td>
<td>9896</td>
<td>1250</td>
<td>348</td>
<td>660</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>tochigi sc</td>
<td>9723</td>
<td>1141</td>
<td>285</td>
<td>648</td>
<td>-38.2%</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>otsuka pharmaceuticals</td>
<td>8975</td>
<td>2391</td>
<td>284</td>
<td>598</td>
<td>+18.4%</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>ykk fc</td>
<td>8093</td>
<td>2477</td>
<td>198</td>
<td>540</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>sony sendai</td>
<td>7817</td>
<td>886</td>
<td>342</td>
<td>521</td>
<td>-52.3%</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>yokogawa fc</td>
<td>7334</td>
<td>1198</td>
<td>240</td>
<td>489</td>
<td>-30.4%</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>alo's hokuriku</td>
<td>6380</td>
<td>1801</td>
<td>180</td>
<td>425</td>
<td>-12.1%</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>jatco fc</td>
<td>6329</td>
<td>1075</td>
<td>167</td>
<td>422</td>
<td>-36.7%</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>sagawa express</td>
<td>5365</td>
<td>1054</td>
<td>48</td>
<td>358</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>denso sc</td>
<td>5344</td>
<td>831</td>
<td>119</td>
<td>356</td>
<td>-17.7%</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>kyoken kyoto</td>
<td>5262</td>
<td>468</td>
<td>203</td>
<td>351</td>
<td>-9.0%</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>shizuoka sangyo university</td>
<td>4013</td>
<td>803</td>
<td>101</td>
<td>268</td>
<td>-48.8%</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>kokushikan university</td>
<td>3298</td>
<td>414</td>
<td>54</td>
<td>220</td>
<td>-28.3%</td>
</tr>
<tr>
<th>16</th>
<td>none</td>
<td>league total</td>
<td>123682</td>
<td>3305</td>
<td>48</td>
<td>515</td>
<td>-42.8%</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 change = '+18.4%' <table_name> : table | | pos | team | total | high | low | average | change |
|---:|:------|:---------------------------|--------:|-------:|------:|----------:|:---------|
| 0 | 1 | honda motor | 13178 | 3305 | 402 | 879 | -11.9% |
| 1 | 2 | sc tottori | 12281 | 2124 | 401 | 819 | none |
| 2 | 3 | ntt west kumamoto | 10394 | 1378 | 324 | 693 | none |
| 3 | 4 | ehime fc | 9896 | 1250 | 348 | 660 | none |
| 4 | 5 | tochigi sc | 9723 | 1141 | 285 | 648 | -38.2% |
| 5 | 6 | otsuka pharmaceuticals | 8975 | 2391 | 284 | 598 | +18.4% |
| 6 | 7 | ykk fc | 8093 | 2477 | 198 | 540 | none |
| 7 | 8 | sony sendai | 7817 | 886 | 342 | 521 | -52.3% |
| 8 | 9 | yokogawa fc | 7334 | 1198 | 240 | 489 | -30.4% |
| 9 | 10 | alo's hokuriku | 6380 | 1801 | 180 | 425 | -12.1% |
| 10 | 11 | jatco fc | 6329 | 1075 | 167 | 422 | -36.7% |
| 11 | 12 | sagawa express | 5365 | 1054 | 48 | 358 | none |
| 12 | 13 | denso sc | 5344 | 831 | 119 | 356 | -17.7% |
| 13 | 14 | kyoken kyoto | 5262 | 468 | 203 | 351 | -9.0% |
| 14 | 15 | shizuoka sangyo university | 4013 | 803 | 101 | 268 | -48.8% |
| 15 | 16 | kokushikan university | 3298 | 414 | 54 | 220 | -28.3% |
| 16 | none | league total | 123682 | 3305 | 48 | 515 | -42.8% | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select score where score = '1-0' col : date | venue | opponent | score | result | competition | # row 1 : 2006-11-15 00:00:00 | lansdowne road, dublin | san marino | 2-0 | 5-0 | euro 2008 qualifying | 1 row 2 : 2007-03-28 00:00:00 | croke park, dublin | slovakia | 1-0 | 1-0 | euro 2008 qualifying | 2 row 3 : 2007-05-23 00:00:00 | giants stadium, new york | ecuador | 1-1 | 1-1 | friendly | 3 row 4 : 2007-09-09 00:00:00 | tehelne pole, bratislava | slovakia | 1-2 | 2-2 | euro 2008 qualifying | 4 row 5 : 2007-11-17 00:00:00 | millennium stadium, cardiff | wales | 1-2 | 2-2 | euro 2008 qualifying | 5 row 6 : 2008-09-06 00:00:00 | stadion am bruchweg, mainz | georgia | 0-1 | 1-2 | 2010 fifa world cup qualifying | 6 row 7 : 2009-09-05 00:00:00 | neo gsp stadium, nicosia | cyprus | 0-1 | 1-2 | 2010 fifa world cup qualifying | 7 row 8 : 2010-05-25 00:00:00 | rds arena, dublin | paraguay | 1-0 | 2-1 | friendly | 8 row 9 : 2010-09-07 00:00:00 | aviva stadium, dublin | andorra | 2-0 | 3-1 | euro 2012 qualifying | 9 row 10 : 2011-10-07 00:00:00 | estadi comunal, andorra la vella | andorra | 1-0 | 2-0 | euro 2012 qualifying | 10 row 11 : 2012-09-07 00:00:00 | astana arena, astana | kazakhstan | 2-1 | 2-1 | 2014 fifa world cup qualifying | 11 row 12 : 2012-09-11 00:00:00 | craven cottage, london | oman | 3-0 | 4-1 | friendly | 12 | col : score row 1 : 1-0 row 2 : 1-0 row 3 : 1-0 | select score where score = '1-0' <table_name> : table \begin{tabular}{llllllll}
\toprule
& date & venue & opponent & score & result & competition & # \\
\midrule
0 & 2006-11-15 00:00:00 & lansdowne road, dublin & san marino & 2-0 & 5-0 & euro 2008 qualifying & 1 \\
1 & 2007-03-28 00:00:00 & croke park, dublin & slovakia & 1-0 & 1-0 & euro 2008 qualifying & 2 \\
2 & 2007-05-23 00:00:00 & giants stadium, new york & ecuador & 1-1 & 1-1 & friendly & 3 \\
3 & 2007-09-09 00:00:00 & tehelne pole, bratislava & slovakia & 1-2 & 2-2 & euro 2008 qualifying & 4 \\
4 & 2007-11-17 00:00:00 & millennium stadium, cardiff & wales & 1-2 & 2-2 & euro 2008 qualifying & 5 \\
5 & 2008-09-06 00:00:00 & stadion am bruchweg, mainz & georgia & 0-1 & 1-2 & 2010 fifa world cup qualifying & 6 \\
6 & 2009-09-05 00:00:00 & neo gsp stadium, nicosia & cyprus & 0-1 & 1-2 & 2010 fifa world cup qualifying & 7 \\
7 & 2010-05-25 00:00:00 & rds arena, dublin & paraguay & 1-0 & 2-1 & friendly & 8 \\
8 & 2010-09-07 00:00:00 & aviva stadium, dublin & andorra & 2-0 & 3-1 & euro 2012 qualifying & 9 \\
9 & 2011-10-07 00:00:00 & estadi comunal, andorra la vella & andorra & 1-0 & 2-0 & euro 2012 qualifying & 10 \\
10 & 2012-09-07 00:00:00 & astana arena, astana & kazakhstan & 2-1 & 2-1 & 2014 fifa world cup qualifying & 11 \\
11 & 2012-09-11 00:00:00 & craven cottage, london & oman & 3-0 & 4-1 & friendly & 12 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& score \\
\midrule
0 & 1-0 \\
1 & 1-0 \\
2 & 1-0 \\
\bottomrule
\end{tabular}
| select score where score = '1-0' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>venue</th>
<th>opponent</th>
<th>score</th>
<th>result</th>
<th>competition</th>
<th>#</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2006-11-15 00:00:00</td>
<td>lansdowne road, dublin</td>
<td>san marino</td>
<td>2-0</td>
<td>5-0</td>
<td>euro 2008 qualifying</td>
<td>1</td>
</tr>
<tr>
<th>1</th>
<td>2007-03-28 00:00:00</td>
<td>croke park, dublin</td>
<td>slovakia</td>
<td>1-0</td>
<td>1-0</td>
<td>euro 2008 qualifying</td>
<td>2</td>
</tr>
<tr>
<th>2</th>
<td>2007-05-23 00:00:00</td>
<td>giants stadium, new york</td>
<td>ecuador</td>
<td>1-1</td>
<td>1-1</td>
<td>friendly</td>
<td>3</td>
</tr>
<tr>
<th>3</th>
<td>2007-09-09 00:00:00</td>
<td>tehelne pole, bratislava</td>
<td>slovakia</td>
<td>1-2</td>
<td>2-2</td>
<td>euro 2008 qualifying</td>
<td>4</td>
</tr>
<tr>
<th>4</th>
<td>2007-11-17 00:00:00</td>
<td>millennium stadium, cardiff</td>
<td>wales</td>
<td>1-2</td>
<td>2-2</td>
<td>euro 2008 qualifying</td>
<td>5</td>
</tr>
<tr>
<th>5</th>
<td>2008-09-06 00:00:00</td>
<td>stadion am bruchweg, mainz</td>
<td>georgia</td>
<td>0-1</td>
<td>1-2</td>
<td>2010 fifa world cup qualifying</td>
<td>6</td>
</tr>
<tr>
<th>6</th>
<td>2009-09-05 00:00:00</td>
<td>neo gsp stadium, nicosia</td>
<td>cyprus</td>
<td>0-1</td>
<td>1-2</td>
<td>2010 fifa world cup qualifying</td>
<td>7</td>
</tr>
<tr>
<th>7</th>
<td>2010-05-25 00:00:00</td>
<td>rds arena, dublin</td>
<td>paraguay</td>
<td>1-0</td>
<td>2-1</td>
<td>friendly</td>
<td>8</td>
</tr>
<tr>
<th>8</th>
<td>2010-09-07 00:00:00</td>
<td>aviva stadium, dublin</td>
<td>andorra</td>
<td>2-0</td>
<td>3-1</td>
<td>euro 2012 qualifying</td>
<td>9</td>
</tr>
<tr>
<th>9</th>
<td>2011-10-07 00:00:00</td>
<td>estadi comunal, andorra la vella</td>
<td>andorra</td>
<td>1-0</td>
<td>2-0</td>
<td>euro 2012 qualifying</td>
<td>10</td>
</tr>
<tr>
<th>10</th>
<td>2012-09-07 00:00:00</td>
<td>astana arena, astana</td>
<td>kazakhstan</td>
<td>2-1</td>
<td>2-1</td>
<td>2014 fifa world cup qualifying</td>
<td>11</td>
</tr>
<tr>
<th>11</th>
<td>2012-09-11 00:00:00</td>
<td>craven cottage, london</td>
<td>oman</td>
<td>3-0</td>
<td>4-1</td>
<td>friendly</td>
<td>12</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>1-0</td>
</tr>
<tr>
<th>1</th>
<td>1-0</td>
</tr>
<tr>
<th>2</th>
<td>1-0</td>
</tr>
</tbody>
</table> | select score where score = '1-0' <table_name> : table | | date | venue | opponent | score | result | competition | # |
|---:|:--------------------|:---------------------------------|:-----------|:--------|:---------|:-------------------------------|----:|
| 0 | 2006-11-15 00:00:00 | lansdowne road, dublin | san marino | 2-0 | 5-0 | euro 2008 qualifying | 1 |
| 1 | 2007-03-28 00:00:00 | croke park, dublin | slovakia | 1-0 | 1-0 | euro 2008 qualifying | 2 |
| 2 | 2007-05-23 00:00:00 | giants stadium, new york | ecuador | 1-1 | 1-1 | friendly | 3 |
| 3 | 2007-09-09 00:00:00 | tehelne pole, bratislava | slovakia | 1-2 | 2-2 | euro 2008 qualifying | 4 |
| 4 | 2007-11-17 00:00:00 | millennium stadium, cardiff | wales | 1-2 | 2-2 | euro 2008 qualifying | 5 |
| 5 | 2008-09-06 00:00:00 | stadion am bruchweg, mainz | georgia | 0-1 | 1-2 | 2010 fifa world cup qualifying | 6 |
| 6 | 2009-09-05 00:00:00 | neo gsp stadium, nicosia | cyprus | 0-1 | 1-2 | 2010 fifa world cup qualifying | 7 |
| 7 | 2010-05-25 00:00:00 | rds arena, dublin | paraguay | 1-0 | 2-1 | friendly | 8 |
| 8 | 2010-09-07 00:00:00 | aviva stadium, dublin | andorra | 2-0 | 3-1 | euro 2012 qualifying | 9 |
| 9 | 2011-10-07 00:00:00 | estadi comunal, andorra la vella | andorra | 1-0 | 2-0 | euro 2012 qualifying | 10 |
| 10 | 2012-09-07 00:00:00 | astana arena, astana | kazakhstan | 2-1 | 2-1 | 2014 fifa world cup qualifying | 11 |
| 11 | 2012-09-11 00:00:00 | craven cottage, london | oman | 3-0 | 4-1 | friendly | 12 | | | | score |
|---:|:--------|
| 0 | 1-0 |
| 1 | 1-0 |
| 2 | 1-0 | | [
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select uci rating where uci rating = 'cc' col : date | race name | location | uci rating | winner | team row 1 : 6 january | copa america de ciclismo | brazil | 1.2 | francisco chamorro (arg) | funvic brasilinvest-sao jose dos campos row 2 : 11-20 january | vuelta al tachira | venezuela | 2.2 | yeison delgado (ven) | kino tachira-drodinica row 3 : 21-27 january | tour de san luis | argentina | 2.1 | daniel diaz (arg) | san luis somos todos row 4 : 21-28 april | vuelta a guatemala | guatemala | 2.2 | oscar sanchez (col) | gw shimano row 5 : 1-5 may | tour of the gila | united states | 2.2 | philip deignan (irl) | unitedhealthcare row 6 : 2 may | pan american cycling championships - time trial | mexico | cc | carlos oyarzun (chi) | chile national team row 7 : 5 may | pan american cycling championships - road race | mexico | cc | jonathan paredes (col) | colombia national team row 8 : 12-19 may | tour of california | united states | 2.hc | tejay van garderen (usa) | bmc racing team row 9 : 2 june | the philly cycling classic | united states | 1.2 | kiel reijnen (usa) | unitedhealthcare row 10 : 7-9 june | coupe des nations ville saguenay | canada | 2.ncup | sondre enger (nor) | norway national team row 11 : 9-23 june | vuelta a colombia | colombia | 2.2 | oscar sevilla (esp) | epm-une row 12 : 11-16 june | tour de beauce | canada | 2.2 | nathan brown (usa) | bontrager cycling team row 13 : 7 july | tour de delta | canada | 1.2 | steve fisher (usa) | hagens berman cycling row 14 : 19-28 july | vuelta a venezuela | venezuela | 2.2 | carlos jose ochoa (ven) | androni giocattoli-venezuela row 15 : 2-4 august | tour of elk grove | united states | 2.1 | elia viviani (ita) | cannondale row 16 : 6-11 august | tour of utah | united states | 2.1 | tom danielson (usa) | garmin-sharp row 17 : 6-11 august | ruta del centro | mexico | 2.2 | victor garcia (esp) | depredadores pbg design row 18 : 14-18 august | vuelta al sur de bolivia | bolivia | 2.2 | oscar soliz (bol) | pio rico row 19 : 19-25 august | usa pro cycling challenge | united states | 2.hc | tejay van garderen (usa) | bmc racing team row 20 : 28 aug-1 sep | tour do rio | brazil | 2.2 | oscar sevilla (esp) | epm-une row 21 : 3-8 september | tour of alberta | canada | 2.1 | rohan dennis (aus) | garmin-sharp row 22 : 7 september | bucks county classic | united states | 1.2 | kiel reijnen (usa) | unitedhealthcare | col : uci rating row 1 : cc row 2 : cc | select uci rating where uci rating = 'cc' <table_name> : table \begin{tabular}{lllllll}
\toprule
& date & race name & location & uci rating & winner & team \\
\midrule
0 & 6 january & copa america de ciclismo & brazil & 1.2 & francisco chamorro (arg) & funvic brasilinvest-sao jose dos campos \\
1 & 11-20 january & vuelta al tachira & venezuela & 2.2 & yeison delgado (ven) & kino tachira-drodinica \\
2 & 21-27 january & tour de san luis & argentina & 2.1 & daniel diaz (arg) & san luis somos todos \\
3 & 21-28 april & vuelta a guatemala & guatemala & 2.2 & oscar sanchez (col) & gw shimano \\
4 & 1-5 may & tour of the gila & united states & 2.2 & philip deignan (irl) & unitedhealthcare \\
5 & 2 may & pan american cycling championships - time trial & mexico & cc & carlos oyarzun (chi) & chile national team \\
6 & 5 may & pan american cycling championships - road race & mexico & cc & jonathan paredes (col) & colombia national team \\
7 & 12-19 may & tour of california & united states & 2.hc & tejay van garderen (usa) & bmc racing team \\
8 & 2 june & the philly cycling classic & united states & 1.2 & kiel reijnen (usa) & unitedhealthcare \\
9 & 7-9 june & coupe des nations ville saguenay & canada & 2.ncup & sondre enger (nor) & norway national team \\
10 & 9-23 june & vuelta a colombia & colombia & 2.2 & oscar sevilla (esp) & epm-une \\
11 & 11-16 june & tour de beauce & canada & 2.2 & nathan brown (usa) & bontrager cycling team \\
12 & 7 july & tour de delta & canada & 1.2 & steve fisher (usa) & hagens berman cycling \\
13 & 19-28 july & vuelta a venezuela & venezuela & 2.2 & carlos jose ochoa (ven) & androni giocattoli-venezuela \\
14 & 2-4 august & tour of elk grove & united states & 2.1 & elia viviani (ita) & cannondale \\
15 & 6-11 august & tour of utah & united states & 2.1 & tom danielson (usa) & garmin-sharp \\
16 & 6-11 august & ruta del centro & mexico & 2.2 & victor garcia (esp) & depredadores pbg design \\
17 & 14-18 august & vuelta al sur de bolivia & bolivia & 2.2 & oscar soliz (bol) & pio rico \\
18 & 19-25 august & usa pro cycling challenge & united states & 2.hc & tejay van garderen (usa) & bmc racing team \\
19 & 28 aug-1 sep & tour do rio & brazil & 2.2 & oscar sevilla (esp) & epm-une \\
20 & 3-8 september & tour of alberta & canada & 2.1 & rohan dennis (aus) & garmin-sharp \\
21 & 7 september & bucks county classic & united states & 1.2 & kiel reijnen (usa) & unitedhealthcare \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& uci rating \\
\midrule
0 & cc \\
1 & cc \\
\bottomrule
\end{tabular}
| select uci rating where uci rating = 'cc' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>race name</th>
<th>location</th>
<th>uci rating</th>
<th>winner</th>
<th>team</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>6 january</td>
<td>copa america de ciclismo</td>
<td>brazil</td>
<td>1.2</td>
<td>francisco chamorro (arg)</td>
<td>funvic brasilinvest-sao jose dos campos</td>
</tr>
<tr>
<th>1</th>
<td>11-20 january</td>
<td>vuelta al tachira</td>
<td>venezuela</td>
<td>2.2</td>
<td>yeison delgado (ven)</td>
<td>kino tachira-drodinica</td>
</tr>
<tr>
<th>2</th>
<td>21-27 january</td>
<td>tour de san luis</td>
<td>argentina</td>
<td>2.1</td>
<td>daniel diaz (arg)</td>
<td>san luis somos todos</td>
</tr>
<tr>
<th>3</th>
<td>21-28 april</td>
<td>vuelta a guatemala</td>
<td>guatemala</td>
<td>2.2</td>
<td>oscar sanchez (col)</td>
<td>gw shimano</td>
</tr>
<tr>
<th>4</th>
<td>1-5 may</td>
<td>tour of the gila</td>
<td>united states</td>
<td>2.2</td>
<td>philip deignan (irl)</td>
<td>unitedhealthcare</td>
</tr>
<tr>
<th>5</th>
<td>2 may</td>
<td>pan american cycling championships - time trial</td>
<td>mexico</td>
<td>cc</td>
<td>carlos oyarzun (chi)</td>
<td>chile national team</td>
</tr>
<tr>
<th>6</th>
<td>5 may</td>
<td>pan american cycling championships - road race</td>
<td>mexico</td>
<td>cc</td>
<td>jonathan paredes (col)</td>
<td>colombia national team</td>
</tr>
<tr>
<th>7</th>
<td>12-19 may</td>
<td>tour of california</td>
<td>united states</td>
<td>2.hc</td>
<td>tejay van garderen (usa)</td>
<td>bmc racing team</td>
</tr>
<tr>
<th>8</th>
<td>2 june</td>
<td>the philly cycling classic</td>
<td>united states</td>
<td>1.2</td>
<td>kiel reijnen (usa)</td>
<td>unitedhealthcare</td>
</tr>
<tr>
<th>9</th>
<td>7-9 june</td>
<td>coupe des nations ville saguenay</td>
<td>canada</td>
<td>2.ncup</td>
<td>sondre enger (nor)</td>
<td>norway national team</td>
</tr>
<tr>
<th>10</th>
<td>9-23 june</td>
<td>vuelta a colombia</td>
<td>colombia</td>
<td>2.2</td>
<td>oscar sevilla (esp)</td>
<td>epm-une</td>
</tr>
<tr>
<th>11</th>
<td>11-16 june</td>
<td>tour de beauce</td>
<td>canada</td>
<td>2.2</td>
<td>nathan brown (usa)</td>
<td>bontrager cycling team</td>
</tr>
<tr>
<th>12</th>
<td>7 july</td>
<td>tour de delta</td>
<td>canada</td>
<td>1.2</td>
<td>steve fisher (usa)</td>
<td>hagens berman cycling</td>
</tr>
<tr>
<th>13</th>
<td>19-28 july</td>
<td>vuelta a venezuela</td>
<td>venezuela</td>
<td>2.2</td>
<td>carlos jose ochoa (ven)</td>
<td>androni giocattoli-venezuela</td>
</tr>
<tr>
<th>14</th>
<td>2-4 august</td>
<td>tour of elk grove</td>
<td>united states</td>
<td>2.1</td>
<td>elia viviani (ita)</td>
<td>cannondale</td>
</tr>
<tr>
<th>15</th>
<td>6-11 august</td>
<td>tour of utah</td>
<td>united states</td>
<td>2.1</td>
<td>tom danielson (usa)</td>
<td>garmin-sharp</td>
</tr>
<tr>
<th>16</th>
<td>6-11 august</td>
<td>ruta del centro</td>
<td>mexico</td>
<td>2.2</td>
<td>victor garcia (esp)</td>
<td>depredadores pbg design</td>
</tr>
<tr>
<th>17</th>
<td>14-18 august</td>
<td>vuelta al sur de bolivia</td>
<td>bolivia</td>
<td>2.2</td>
<td>oscar soliz (bol)</td>
<td>pio rico</td>
</tr>
<tr>
<th>18</th>
<td>19-25 august</td>
<td>usa pro cycling challenge</td>
<td>united states</td>
<td>2.hc</td>
<td>tejay van garderen (usa)</td>
<td>bmc racing team</td>
</tr>
<tr>
<th>19</th>
<td>28 aug-1 sep</td>
<td>tour do rio</td>
<td>brazil</td>
<td>2.2</td>
<td>oscar sevilla (esp)</td>
<td>epm-une</td>
</tr>
<tr>
<th>20</th>
<td>3-8 september</td>
<td>tour of alberta</td>
<td>canada</td>
<td>2.1</td>
<td>rohan dennis (aus)</td>
<td>garmin-sharp</td>
</tr>
<tr>
<th>21</th>
<td>7 september</td>
<td>bucks county classic</td>
<td>united states</td>
<td>1.2</td>
<td>kiel reijnen (usa)</td>
<td>unitedhealthcare</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>uci rating</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>cc</td>
</tr>
<tr>
<th>1</th>
<td>cc</td>
</tr>
</tbody>
</table> | select uci rating where uci rating = 'cc' <table_name> : table | | date | race name | location | uci rating | winner | team |
|---:|:--------------|:------------------------------------------------|:--------------|:-------------|:-------------------------|:----------------------------------------|
| 0 | 6 january | copa america de ciclismo | brazil | 1.2 | francisco chamorro (arg) | funvic brasilinvest-sao jose dos campos |
| 1 | 11-20 january | vuelta al tachira | venezuela | 2.2 | yeison delgado (ven) | kino tachira-drodinica |
| 2 | 21-27 january | tour de san luis | argentina | 2.1 | daniel diaz (arg) | san luis somos todos |
| 3 | 21-28 april | vuelta a guatemala | guatemala | 2.2 | oscar sanchez (col) | gw shimano |
| 4 | 1-5 may | tour of the gila | united states | 2.2 | philip deignan (irl) | unitedhealthcare |
| 5 | 2 may | pan american cycling championships - time trial | mexico | cc | carlos oyarzun (chi) | chile national team |
| 6 | 5 may | pan american cycling championships - road race | mexico | cc | jonathan paredes (col) | colombia national team |
| 7 | 12-19 may | tour of california | united states | 2.hc | tejay van garderen (usa) | bmc racing team |
| 8 | 2 june | the philly cycling classic | united states | 1.2 | kiel reijnen (usa) | unitedhealthcare |
| 9 | 7-9 june | coupe des nations ville saguenay | canada | 2.ncup | sondre enger (nor) | norway national team |
| 10 | 9-23 june | vuelta a colombia | colombia | 2.2 | oscar sevilla (esp) | epm-une |
| 11 | 11-16 june | tour de beauce | canada | 2.2 | nathan brown (usa) | bontrager cycling team |
| 12 | 7 july | tour de delta | canada | 1.2 | steve fisher (usa) | hagens berman cycling |
| 13 | 19-28 july | vuelta a venezuela | venezuela | 2.2 | carlos jose ochoa (ven) | androni giocattoli-venezuela |
| 14 | 2-4 august | tour of elk grove | united states | 2.1 | elia viviani (ita) | cannondale |
| 15 | 6-11 august | tour of utah | united states | 2.1 | tom danielson (usa) | garmin-sharp |
| 16 | 6-11 august | ruta del centro | mexico | 2.2 | victor garcia (esp) | depredadores pbg design |
| 17 | 14-18 august | vuelta al sur de bolivia | bolivia | 2.2 | oscar soliz (bol) | pio rico |
| 18 | 19-25 august | usa pro cycling challenge | united states | 2.hc | tejay van garderen (usa) | bmc racing team |
| 19 | 28 aug-1 sep | tour do rio | brazil | 2.2 | oscar sevilla (esp) | epm-une |
| 20 | 3-8 september | tour of alberta | canada | 2.1 | rohan dennis (aus) | garmin-sharp |
| 21 | 7 september | bucks county classic | united states | 1.2 | kiel reijnen (usa) | unitedhealthcare | | | | uci rating |
|---:|:-------------|
| 0 | cc |
| 1 | cc | | [
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select count ( captain ) where date < 1398 col : date | number | type | captain | casualties | sunk by row 1 : 2043-05-04 00:00:00 | u-209 | viic | heinrich brodda | 46 | catalina flying-boat of no. 5 squadron rcaf row 2 : 2043-05-05 00:00:00 | u-638 | viic | oskar staudinger | 44 | hms sunflower row 3 : 2043-05-05 00:00:00 | u-531 | ixc/40 | herbert neckel | 54 | hms vidette row 4 : 2043-05-06 00:00:00 | u-192 | ixc/40 | werner happe | 55 | hms loosestrife row 5 : 2043-05-06 00:00:00 | u-125 | ixc | ulrich folkers | 54 | hms oribi, hms snowflake row 6 : 2043-05-06 00:00:00 | u-630 | viic | werner winkler | 47 | hms vidette row 7 : 2043-05-06 00:00:00 | u-438 | viic | heinrich hensohn | 48 | hms pelican | col : count ( "captain" ) row 1 : 0 | select count ( captain ) where date < 1398 <table_name> : table \begin{tabular}{lllllll}
\toprule
& date & number & type & captain & casualties & sunk by \\
\midrule
0 & 2043-05-04 00:00:00 & u-209 & viic & heinrich brodda & 46 & catalina flying-boat of no. 5 squadron rcaf \\
1 & 2043-05-05 00:00:00 & u-638 & viic & oskar staudinger & 44 & hms sunflower \\
2 & 2043-05-05 00:00:00 & u-531 & ixc/40 & herbert neckel & 54 & hms vidette \\
3 & 2043-05-06 00:00:00 & u-192 & ixc/40 & werner happe & 55 & hms loosestrife \\
4 & 2043-05-06 00:00:00 & u-125 & ixc & ulrich folkers & 54 & hms oribi, hms snowflake \\
5 & 2043-05-06 00:00:00 & u-630 & viic & werner winkler & 47 & hms vidette \\
6 & 2043-05-06 00:00:00 & u-438 & viic & heinrich hensohn & 48 & hms pelican \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "captain" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( captain ) where date < 1398 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>number</th>
<th>type</th>
<th>captain</th>
<th>casualties</th>
<th>sunk by</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2043-05-04 00:00:00</td>
<td>u-209</td>
<td>viic</td>
<td>heinrich brodda</td>
<td>46</td>
<td>catalina flying-boat of no. 5 squadron rcaf</td>
</tr>
<tr>
<th>1</th>
<td>2043-05-05 00:00:00</td>
<td>u-638</td>
<td>viic</td>
<td>oskar staudinger</td>
<td>44</td>
<td>hms sunflower</td>
</tr>
<tr>
<th>2</th>
<td>2043-05-05 00:00:00</td>
<td>u-531</td>
<td>ixc/40</td>
<td>herbert neckel</td>
<td>54</td>
<td>hms vidette</td>
</tr>
<tr>
<th>3</th>
<td>2043-05-06 00:00:00</td>
<td>u-192</td>
<td>ixc/40</td>
<td>werner happe</td>
<td>55</td>
<td>hms loosestrife</td>
</tr>
<tr>
<th>4</th>
<td>2043-05-06 00:00:00</td>
<td>u-125</td>
<td>ixc</td>
<td>ulrich folkers</td>
<td>54</td>
<td>hms oribi, hms snowflake</td>
</tr>
<tr>
<th>5</th>
<td>2043-05-06 00:00:00</td>
<td>u-630</td>
<td>viic</td>
<td>werner winkler</td>
<td>47</td>
<td>hms vidette</td>
</tr>
<tr>
<th>6</th>
<td>2043-05-06 00:00:00</td>
<td>u-438</td>
<td>viic</td>
<td>heinrich hensohn</td>
<td>48</td>
<td>hms pelican</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "captain" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( captain ) where date < 1398 <table_name> : table | | date | number | type | captain | casualties | sunk by |
|---:|:--------------------|:---------|:-------|:-----------------|-------------:|:--------------------------------------------|
| 0 | 2043-05-04 00:00:00 | u-209 | viic | heinrich brodda | 46 | catalina flying-boat of no. 5 squadron rcaf |
| 1 | 2043-05-05 00:00:00 | u-638 | viic | oskar staudinger | 44 | hms sunflower |
| 2 | 2043-05-05 00:00:00 | u-531 | ixc/40 | herbert neckel | 54 | hms vidette |
| 3 | 2043-05-06 00:00:00 | u-192 | ixc/40 | werner happe | 55 | hms loosestrife |
| 4 | 2043-05-06 00:00:00 | u-125 | ixc | ulrich folkers | 54 | hms oribi, hms snowflake |
| 5 | 2043-05-06 00:00:00 | u-630 | viic | werner winkler | 47 | hms vidette |
| 6 | 2043-05-06 00:00:00 | u-438 | viic | heinrich hensohn | 48 | hms pelican | | | | count ( "captain" ) |
|---:|----------------------:|
| 0 | 0 | | [
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select count ( * ) where place < 1386 col : season | tier | division | place row 1 : 2002/03 | 8 | 3a aficio | 1st row 2 : 2003/04 | 6 | 1a aficio | 1st row 3 : 2004/05 | 5 | preferente | 13th row 4 : 2005/06 | 5 | preferente | 4th row 5 : 2006/07 | 5 | preferente | 8th row 6 : 2007/08 | 5 | preferente | 8th row 7 : 2008/09 | 5 | preferente | 3rd row 8 : 2009/10 | 5 | preferente | 2nd row 9 : 2010/11 | 4 | 3a | 6th row 10 : 2011/12 | 4 | 3a | 6th row 11 : 2012/13 | 4 | 3a | 11th | col : count ( "*" ) row 1 : 1 | select count ( * ) where place < 1386 <table_name> : table \begin{tabular}{lllll}
\toprule
& season & tier & division & place \\
\midrule
0 & 2002/03 & 8 & 3a aficio & 1st \\
1 & 2003/04 & 6 & 1a aficio & 1st \\
2 & 2004/05 & 5 & preferente & 13th \\
3 & 2005/06 & 5 & preferente & 4th \\
4 & 2006/07 & 5 & preferente & 8th \\
5 & 2007/08 & 5 & preferente & 8th \\
6 & 2008/09 & 5 & preferente & 3rd \\
7 & 2009/10 & 5 & preferente & 2nd \\
8 & 2010/11 & 4 & 3a & 6th \\
9 & 2011/12 & 4 & 3a & 6th \\
10 & 2012/13 & 4 & 3a & 11th \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where place < 1386 <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>2002/03</td>
<td>8</td>
<td>3a aficio</td>
<td>1st</td>
</tr>
<tr>
<th>1</th>
<td>2003/04</td>
<td>6</td>
<td>1a aficio</td>
<td>1st</td>
</tr>
<tr>
<th>2</th>
<td>2004/05</td>
<td>5</td>
<td>preferente</td>
<td>13th</td>
</tr>
<tr>
<th>3</th>
<td>2005/06</td>
<td>5</td>
<td>preferente</td>
<td>4th</td>
</tr>
<tr>
<th>4</th>
<td>2006/07</td>
<td>5</td>
<td>preferente</td>
<td>8th</td>
</tr>
<tr>
<th>5</th>
<td>2007/08</td>
<td>5</td>
<td>preferente</td>
<td>8th</td>
</tr>
<tr>
<th>6</th>
<td>2008/09</td>
<td>5</td>
<td>preferente</td>
<td>3rd</td>
</tr>
<tr>
<th>7</th>
<td>2009/10</td>
<td>5</td>
<td>preferente</td>
<td>2nd</td>
</tr>
<tr>
<th>8</th>
<td>2010/11</td>
<td>4</td>
<td>3a</td>
<td>6th</td>
</tr>
<tr>
<th>9</th>
<td>2011/12</td>
<td>4</td>
<td>3a</td>
<td>6th</td>
</tr>
<tr>
<th>10</th>
<td>2012/13</td>
<td>4</td>
<td>3a</td>
<td>11th</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 place < 1386 <table_name> : table | | season | tier | division | place |
|---:|:---------|-------:|:-----------|:--------|
| 0 | 2002/03 | 8 | 3a aficio | 1st |
| 1 | 2003/04 | 6 | 1a aficio | 1st |
| 2 | 2004/05 | 5 | preferente | 13th |
| 3 | 2005/06 | 5 | preferente | 4th |
| 4 | 2006/07 | 5 | preferente | 8th |
| 5 | 2007/08 | 5 | preferente | 8th |
| 6 | 2008/09 | 5 | preferente | 3rd |
| 7 | 2009/10 | 5 | preferente | 2nd |
| 8 | 2010/11 | 4 | 3a | 6th |
| 9 | 2011/12 | 4 | 3a | 6th |
| 10 | 2012/13 | 4 | 3a | 11th | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( * ) where location = 'mexico city, mexico' col : wager | winner | loser | location | date row 1 : hair | mocho cota | chamaco valaguez | cuernavaca, morelos | none row 2 : hair | satanico | mocho cota | mexico city, mexico | september 26, 1980 row 3 : hair | chamaco valaguez | mocho cota | cuernavaca, morelos | july 29, 1982 row 4 : hair | gran cochisse | mocho cota | mexico city, mexico | march 25, 1983 row 5 : hairs | la fiera and mocho cota | ringo mendoza and cachorro mendoza | mexico city, mexico | july 1, 1983 row 6 : hair | gran cochisse | mocho cota | mexico city, mexico | september 9, 1983 row 7 : hair | mocho cota | chamaco valaguez | mexico city, mexico | september 7, 1984 row 8 : hair | mocho cota | el talisman | mexico city, mexico | march 7, 1986 row 9 : hairs | sangre chicana and mocho cota | el faraon and talisman | mexico city, mexico | march 7, 1986 row 10 : hair | mocho cota | kato kung lee | mexico city, mexico | december 10, 1993 row 11 : hair | mocho cota | chamaco valaguez | cuernavaca, morelos | march 29, 1994 row 12 : hair | negro casas | mocho cota | mexico city, mexico | september 23, 1994 | col : count ( "*" ) row 1 : 9 | select count ( * ) where location = 'mexico city, mexico' <table_name> : table \begin{tabular}{llllll}
\toprule
& wager & winner & loser & location & date \\
\midrule
0 & hair & mocho cota & chamaco valaguez & cuernavaca, morelos & none \\
1 & hair & satanico & mocho cota & mexico city, mexico & september 26, 1980 \\
2 & hair & chamaco valaguez & mocho cota & cuernavaca, morelos & july 29, 1982 \\
3 & hair & gran cochisse & mocho cota & mexico city, mexico & march 25, 1983 \\
4 & hairs & la fiera and mocho cota & ringo mendoza and cachorro mendoza & mexico city, mexico & july 1, 1983 \\
5 & hair & gran cochisse & mocho cota & mexico city, mexico & september 9, 1983 \\
6 & hair & mocho cota & chamaco valaguez & mexico city, mexico & september 7, 1984 \\
7 & hair & mocho cota & el talisman & mexico city, mexico & march 7, 1986 \\
8 & hairs & sangre chicana and mocho cota & el faraon and talisman & mexico city, mexico & march 7, 1986 \\
9 & hair & mocho cota & kato kung lee & mexico city, mexico & december 10, 1993 \\
10 & hair & mocho cota & chamaco valaguez & cuernavaca, morelos & march 29, 1994 \\
11 & hair & negro casas & mocho cota & mexico city, mexico & september 23, 1994 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 9 \\
\bottomrule
\end{tabular}
| select count ( * ) where location = 'mexico city, mexico' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>wager</th>
<th>winner</th>
<th>loser</th>
<th>location</th>
<th>date</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>hair</td>
<td>mocho cota</td>
<td>chamaco valaguez</td>
<td>cuernavaca, morelos</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>hair</td>
<td>satanico</td>
<td>mocho cota</td>
<td>mexico city, mexico</td>
<td>september 26, 1980</td>
</tr>
<tr>
<th>2</th>
<td>hair</td>
<td>chamaco valaguez</td>
<td>mocho cota</td>
<td>cuernavaca, morelos</td>
<td>july 29, 1982</td>
</tr>
<tr>
<th>3</th>
<td>hair</td>
<td>gran cochisse</td>
<td>mocho cota</td>
<td>mexico city, mexico</td>
<td>march 25, 1983</td>
</tr>
<tr>
<th>4</th>
<td>hairs</td>
<td>la fiera and mocho cota</td>
<td>ringo mendoza and cachorro mendoza</td>
<td>mexico city, mexico</td>
<td>july 1, 1983</td>
</tr>
<tr>
<th>5</th>
<td>hair</td>
<td>gran cochisse</td>
<td>mocho cota</td>
<td>mexico city, mexico</td>
<td>september 9, 1983</td>
</tr>
<tr>
<th>6</th>
<td>hair</td>
<td>mocho cota</td>
<td>chamaco valaguez</td>
<td>mexico city, mexico</td>
<td>september 7, 1984</td>
</tr>
<tr>
<th>7</th>
<td>hair</td>
<td>mocho cota</td>
<td>el talisman</td>
<td>mexico city, mexico</td>
<td>march 7, 1986</td>
</tr>
<tr>
<th>8</th>
<td>hairs</td>
<td>sangre chicana and mocho cota</td>
<td>el faraon and talisman</td>
<td>mexico city, mexico</td>
<td>march 7, 1986</td>
</tr>
<tr>
<th>9</th>
<td>hair</td>
<td>mocho cota</td>
<td>kato kung lee</td>
<td>mexico city, mexico</td>
<td>december 10, 1993</td>
</tr>
<tr>
<th>10</th>
<td>hair</td>
<td>mocho cota</td>
<td>chamaco valaguez</td>
<td>cuernavaca, morelos</td>
<td>march 29, 1994</td>
</tr>
<tr>
<th>11</th>
<td>hair</td>
<td>negro casas</td>
<td>mocho cota</td>
<td>mexico city, mexico</td>
<td>september 23, 1994</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>9</td>
</tr>
</tbody>
</table> | select count ( * ) where location = 'mexico city, mexico' <table_name> : table | | wager | winner | loser | location | date |
|---:|:--------|:------------------------------|:-----------------------------------|:--------------------|:-------------------|
| 0 | hair | mocho cota | chamaco valaguez | cuernavaca, morelos | none |
| 1 | hair | satanico | mocho cota | mexico city, mexico | september 26, 1980 |
| 2 | hair | chamaco valaguez | mocho cota | cuernavaca, morelos | july 29, 1982 |
| 3 | hair | gran cochisse | mocho cota | mexico city, mexico | march 25, 1983 |
| 4 | hairs | la fiera and mocho cota | ringo mendoza and cachorro mendoza | mexico city, mexico | july 1, 1983 |
| 5 | hair | gran cochisse | mocho cota | mexico city, mexico | september 9, 1983 |
| 6 | hair | mocho cota | chamaco valaguez | mexico city, mexico | september 7, 1984 |
| 7 | hair | mocho cota | el talisman | mexico city, mexico | march 7, 1986 |
| 8 | hairs | sangre chicana and mocho cota | el faraon and talisman | mexico city, mexico | march 7, 1986 |
| 9 | hair | mocho cota | kato kung lee | mexico city, mexico | december 10, 1993 |
| 10 | hair | mocho cota | chamaco valaguez | cuernavaca, morelos | march 29, 1994 |
| 11 | hair | negro casas | mocho cota | mexico city, mexico | september 23, 1994 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 9 | | [
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select count ( gold ) where rank = 2 col : rank | nation | gold | silver | bronze | total row 1 : 1 | united states (usa) | 5 | 0 | 0 | 5 row 2 : 2 | italy (ita) | 1 | 1 | 1 | 3 row 3 : 3 | poland (pol) | 1 | 1 | 0 | 2 row 4 : 4 | finland (fin) | 1 | 0 | 4 | 5 row 5 : 5 | czechoslovakia (tch) | 1 | 0 | 0 | 1 row 6 : 5 | hungary (hun) | 1 | 0 | 0 | 1 row 7 : 7 | soviet union (urs) | 0 | 2 | 4 | 6 row 8 : 8 | south africa (rsa) | 0 | 1 | 3 | 4 row 9 : 9 | argentina (arg) | 0 | 1 | 1 | 2 row 10 : 9 | germany (ger) | 0 | 1 | 1 | 2 row 11 : 9 | romania (rou) | 0 | 1 | 1 | 2 row 12 : 9 | sweden (swe) | 0 | 1 | 1 | 2 row 13 : 13 | ireland (irl) | 0 | 1 | 0 | 1 row 14 : 14 | bulgaria (bul) | 0 | 0 | 1 | 1 row 15 : 14 | denmark (den) | 0 | 0 | 1 | 1 row 16 : 14 | france (fra) | 0 | 0 | 1 | 1 row 17 : 14 | south korea (kor) | 0 | 0 | 1 | 1 | col : count ( "gold" ) row 1 : 1 | select count ( gold ) where rank = 2 <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & united states (usa) & 5 & 0 & 0 & 5 \\
1 & 2 & italy (ita) & 1 & 1 & 1 & 3 \\
2 & 3 & poland (pol) & 1 & 1 & 0 & 2 \\
3 & 4 & finland (fin) & 1 & 0 & 4 & 5 \\
4 & 5 & czechoslovakia (tch) & 1 & 0 & 0 & 1 \\
5 & 5 & hungary (hun) & 1 & 0 & 0 & 1 \\
6 & 7 & soviet union (urs) & 0 & 2 & 4 & 6 \\
7 & 8 & south africa (rsa) & 0 & 1 & 3 & 4 \\
8 & 9 & argentina (arg) & 0 & 1 & 1 & 2 \\
9 & 9 & germany (ger) & 0 & 1 & 1 & 2 \\
10 & 9 & romania (rou) & 0 & 1 & 1 & 2 \\
11 & 9 & sweden (swe) & 0 & 1 & 1 & 2 \\
12 & 13 & ireland (irl) & 0 & 1 & 0 & 1 \\
13 & 14 & bulgaria (bul) & 0 & 0 & 1 & 1 \\
14 & 14 & denmark (den) & 0 & 0 & 1 & 1 \\
15 & 14 & france (fra) & 0 & 0 & 1 & 1 \\
16 & 14 & south korea (kor) & 0 & 0 & 1 & 1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "gold" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( gold ) where rank = 2 <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>united states (usa)</td>
<td>5</td>
<td>0</td>
<td>0</td>
<td>5</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>poland (pol)</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>finland (fin)</td>
<td>1</td>
<td>0</td>
<td>4</td>
<td>5</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>czechoslovakia (tch)</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>5</th>
<td>5</td>
<td>hungary (hun)</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>soviet union (urs)</td>
<td>0</td>
<td>2</td>
<td>4</td>
<td>6</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>south africa (rsa)</td>
<td>0</td>
<td>1</td>
<td>3</td>
<td>4</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>argentina (arg)</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>9</th>
<td>9</td>
<td>germany (ger)</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>10</th>
<td>9</td>
<td>romania (rou)</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>11</th>
<td>9</td>
<td>sweden (swe)</td>
<td>0</td>
<td>1</td>
<td>1</td>
<td>2</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>ireland (irl)</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>bulgaria (bul)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>14</th>
<td>14</td>
<td>denmark (den)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>15</th>
<td>14</td>
<td>france (fra)</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>16</th>
<td>14</td>
<td>south korea (kor)</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>count ( "gold" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( gold ) where rank = 2 <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|-------:|:---------------------|-------:|---------:|---------:|--------:|
| 0 | 1 | united states (usa) | 5 | 0 | 0 | 5 |
| 1 | 2 | italy (ita) | 1 | 1 | 1 | 3 |
| 2 | 3 | poland (pol) | 1 | 1 | 0 | 2 |
| 3 | 4 | finland (fin) | 1 | 0 | 4 | 5 |
| 4 | 5 | czechoslovakia (tch) | 1 | 0 | 0 | 1 |
| 5 | 5 | hungary (hun) | 1 | 0 | 0 | 1 |
| 6 | 7 | soviet union (urs) | 0 | 2 | 4 | 6 |
| 7 | 8 | south africa (rsa) | 0 | 1 | 3 | 4 |
| 8 | 9 | argentina (arg) | 0 | 1 | 1 | 2 |
| 9 | 9 | germany (ger) | 0 | 1 | 1 | 2 |
| 10 | 9 | romania (rou) | 0 | 1 | 1 | 2 |
| 11 | 9 | sweden (swe) | 0 | 1 | 1 | 2 |
| 12 | 13 | ireland (irl) | 0 | 1 | 0 | 1 |
| 13 | 14 | bulgaria (bul) | 0 | 0 | 1 | 1 |
| 14 | 14 | denmark (den) | 0 | 0 | 1 | 1 |
| 15 | 14 | france (fra) | 0 | 0 | 1 | 1 |
| 16 | 14 | south korea (kor) | 0 | 0 | 1 | 1 | | | | count ( "gold" ) |
|---:|-------------------:|
| 0 | 1 | | [
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select count ( whitworth size (in) ) where tapping drill size = 'number drill 16 (4.5 mm)' col : whitworth size (in) | core diameter (in) | threads per inch | pitch (in) | tapping drill size row 1 : 1/16 | 0.0411 | 60.0 | 0.0167 | number drill 56 (1.2 mm) row 2 : 3/32 | 0.0672 | 48.0 | 0.0208 | number drill 49 (1.85 mm) row 3 : 1/8 | 0.093 | 40.0 | 0.025 | number drill 39 (2.55 mm) row 4 : 5/32 | 0.1162 | 32.0 | 0.0313 | number drill 30 (3.2 mm) row 5 : 3/16 | 0.1341 | 24.0 | 0.0417 | number drill 26 (3.7 mm) row 6 : 7/32 | 0.1654 | 24.0 | 0.0417 | number drill 16 (4.5 mm) row 7 : 1/4 | 0.186 | 20.0 | 0.05 | number drill 9 (5.1 mm) row 8 : 5/16 | 0.2414 | 18.0 | 0.0556 | letter drill f (6.5 mm) row 9 : 3/8 | 0.295 | 16.0 | 0.0625 | 5/16 in (7.94 mm) row 10 : 7/16 | 0.346 | 14.0 | 0.0714 | letter drill u (9.3 mm) row 11 : 1/2 | 0.3933 | 12.0 | 0.0833 | letter drill z (10.5 mm) row 12 : 9/16 | 0.4558 | 12.0 | 0.0833 | 12.1 mm (0.4764 in) row 13 : 5/8 | 0.5086 | 11.0 | 0.0909 | 13.5 mm (0.5315 in) row 14 : 11/16 | 0.5711 | 11.0 | 0.0909 | 15 mm (0.5906 in) row 15 : 3/4 | 0.6219 | 10.0 | 0.1 | 16.27 mm (0.6406 in) row 16 : 13/16 | 0.6845 | 10.0 | 0.1 | 18 mm (0.7087 in) row 17 : 7/8 | 0.7327 | 9.0 | 0.1111 | 19.25 mm (0.7579 in) row 18 : 15/16 | 0.7953 | 9.0 | 0.1111 | 20.75 mm (0.8169 in) row 19 : 1 | 0.8399 | 8.0 | 0.125 | 22 mm (0.8661 in) row 20 : 1 1/8 | 0.942 | 7.0 | 0.1429 | none row 21 : 1 1/4 | 1.067 | 7.0 | 0.1429 | none row 22 : 1 1/2 | 1.2866 | 6.0 | 0.1667 | none row 23 : 1 3/4 | 1.4939 | 5.0 | 0.2 | none row 24 : 2 | 1.7154 | 4.5 | 0.2222 | none row 25 : 2 1/2 | 2.18 | 4.0 | 0.25 | none | col : count ( "whitworth size (in" ) row 1 : 1 | select count ( whitworth size (in) ) where tapping drill size = 'number drill 16 (4.5 mm)' <table_name> : table \begin{tabular}{llllll}
\toprule
& whitworth size (in) & core diameter (in) & threads per inch & pitch (in) & tapping drill size \\
\midrule
0 & 1/16 & 0.0411 & 60.0 & 0.0167 & number drill 56 (1.2 mm) \\
1 & 3/32 & 0.0672 & 48.0 & 0.0208 & number drill 49 (1.85 mm) \\
2 & 1/8 & 0.093 & 40.0 & 0.025 & number drill 39 (2.55 mm) \\
3 & 5/32 & 0.1162 & 32.0 & 0.0313 & number drill 30 (3.2 mm) \\
4 & 3/16 & 0.1341 & 24.0 & 0.0417 & number drill 26 (3.7 mm) \\
5 & 7/32 & 0.1654 & 24.0 & 0.0417 & number drill 16 (4.5 mm) \\
6 & 1/4 & 0.186 & 20.0 & 0.05 & number drill 9 (5.1 mm) \\
7 & 5/16 & 0.2414 & 18.0 & 0.0556 & letter drill f (6.5 mm) \\
8 & 3/8 & 0.295 & 16.0 & 0.0625 & 5/16 in (7.94 mm) \\
9 & 7/16 & 0.346 & 14.0 & 0.0714 & letter drill u (9.3 mm) \\
10 & 1/2 & 0.3933 & 12.0 & 0.0833 & letter drill z (10.5 mm) \\
11 & 9/16 & 0.4558 & 12.0 & 0.0833 & 12.1 mm (0.4764 in) \\
12 & 5/8 & 0.5086 & 11.0 & 0.0909 & 13.5 mm (0.5315 in) \\
13 & 11/16 & 0.5711 & 11.0 & 0.0909 & 15 mm (0.5906 in) \\
14 & 3/4 & 0.6219 & 10.0 & 0.1 & 16.27 mm (0.6406 in) \\
15 & 13/16 & 0.6845 & 10.0 & 0.1 & 18 mm (0.7087 in) \\
16 & 7/8 & 0.7327 & 9.0 & 0.1111 & 19.25 mm (0.7579 in) \\
17 & 15/16 & 0.7953 & 9.0 & 0.1111 & 20.75 mm (0.8169 in) \\
18 & 1 & 0.8399 & 8.0 & 0.125 & 22 mm (0.8661 in) \\
19 & 1 1/8 & 0.942 & 7.0 & 0.1429 & none \\
20 & 1 1/4 & 1.067 & 7.0 & 0.1429 & none \\
21 & 1 1/2 & 1.2866 & 6.0 & 0.1667 & none \\
22 & 1 3/4 & 1.4939 & 5.0 & 0.2 & none \\
23 & 2 & 1.7154 & 4.5 & 0.2222 & none \\
24 & 2 1/2 & 2.18 & 4.0 & 0.25 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "whitworth size (in" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( whitworth size (in) ) where tapping drill size = 'number drill 16 (4.5 mm)' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>whitworth size (in)</th>
<th>core diameter (in)</th>
<th>threads per inch</th>
<th>pitch (in)</th>
<th>tapping drill size</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1/16</td>
<td>0.0411</td>
<td>60.0</td>
<td>0.0167</td>
<td>number drill 56 (1.2 mm)</td>
</tr>
<tr>
<th>1</th>
<td>3/32</td>
<td>0.0672</td>
<td>48.0</td>
<td>0.0208</td>
<td>number drill 49 (1.85 mm)</td>
</tr>
<tr>
<th>2</th>
<td>1/8</td>
<td>0.093</td>
<td>40.0</td>
<td>0.025</td>
<td>number drill 39 (2.55 mm)</td>
</tr>
<tr>
<th>3</th>
<td>5/32</td>
<td>0.1162</td>
<td>32.0</td>
<td>0.0313</td>
<td>number drill 30 (3.2 mm)</td>
</tr>
<tr>
<th>4</th>
<td>3/16</td>
<td>0.1341</td>
<td>24.0</td>
<td>0.0417</td>
<td>number drill 26 (3.7 mm)</td>
</tr>
<tr>
<th>5</th>
<td>7/32</td>
<td>0.1654</td>
<td>24.0</td>
<td>0.0417</td>
<td>number drill 16 (4.5 mm)</td>
</tr>
<tr>
<th>6</th>
<td>1/4</td>
<td>0.186</td>
<td>20.0</td>
<td>0.05</td>
<td>number drill 9 (5.1 mm)</td>
</tr>
<tr>
<th>7</th>
<td>5/16</td>
<td>0.2414</td>
<td>18.0</td>
<td>0.0556</td>
<td>letter drill f (6.5 mm)</td>
</tr>
<tr>
<th>8</th>
<td>3/8</td>
<td>0.295</td>
<td>16.0</td>
<td>0.0625</td>
<td>5/16 in (7.94 mm)</td>
</tr>
<tr>
<th>9</th>
<td>7/16</td>
<td>0.346</td>
<td>14.0</td>
<td>0.0714</td>
<td>letter drill u (9.3 mm)</td>
</tr>
<tr>
<th>10</th>
<td>1/2</td>
<td>0.3933</td>
<td>12.0</td>
<td>0.0833</td>
<td>letter drill z (10.5 mm)</td>
</tr>
<tr>
<th>11</th>
<td>9/16</td>
<td>0.4558</td>
<td>12.0</td>
<td>0.0833</td>
<td>12.1 mm (0.4764 in)</td>
</tr>
<tr>
<th>12</th>
<td>5/8</td>
<td>0.5086</td>
<td>11.0</td>
<td>0.0909</td>
<td>13.5 mm (0.5315 in)</td>
</tr>
<tr>
<th>13</th>
<td>11/16</td>
<td>0.5711</td>
<td>11.0</td>
<td>0.0909</td>
<td>15 mm (0.5906 in)</td>
</tr>
<tr>
<th>14</th>
<td>3/4</td>
<td>0.6219</td>
<td>10.0</td>
<td>0.1</td>
<td>16.27 mm (0.6406 in)</td>
</tr>
<tr>
<th>15</th>
<td>13/16</td>
<td>0.6845</td>
<td>10.0</td>
<td>0.1</td>
<td>18 mm (0.7087 in)</td>
</tr>
<tr>
<th>16</th>
<td>7/8</td>
<td>0.7327</td>
<td>9.0</td>
<td>0.1111</td>
<td>19.25 mm (0.7579 in)</td>
</tr>
<tr>
<th>17</th>
<td>15/16</td>
<td>0.7953</td>
<td>9.0</td>
<td>0.1111</td>
<td>20.75 mm (0.8169 in)</td>
</tr>
<tr>
<th>18</th>
<td>1</td>
<td>0.8399</td>
<td>8.0</td>
<td>0.125</td>
<td>22 mm (0.8661 in)</td>
</tr>
<tr>
<th>19</th>
<td>1 1/8</td>
<td>0.942</td>
<td>7.0</td>
<td>0.1429</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>1 1/4</td>
<td>1.067</td>
<td>7.0</td>
<td>0.1429</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>1 1/2</td>
<td>1.2866</td>
<td>6.0</td>
<td>0.1667</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>1 3/4</td>
<td>1.4939</td>
<td>5.0</td>
<td>0.2</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>2</td>
<td>1.7154</td>
<td>4.5</td>
<td>0.2222</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>2 1/2</td>
<td>2.18</td>
<td>4.0</td>
<td>0.25</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "whitworth size (in" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( whitworth size (in) ) where tapping drill size = 'number drill 16 (4.5 mm)' <table_name> : table | | whitworth size (in) | core diameter (in) | threads per inch | pitch (in) | tapping drill size |
|---:|:----------------------|---------------------:|-------------------:|-------------:|:--------------------------|
| 0 | 1/16 | 0.0411 | 60 | 0.0167 | number drill 56 (1.2 mm) |
| 1 | 3/32 | 0.0672 | 48 | 0.0208 | number drill 49 (1.85 mm) |
| 2 | 1/8 | 0.093 | 40 | 0.025 | number drill 39 (2.55 mm) |
| 3 | 5/32 | 0.1162 | 32 | 0.0313 | number drill 30 (3.2 mm) |
| 4 | 3/16 | 0.1341 | 24 | 0.0417 | number drill 26 (3.7 mm) |
| 5 | 7/32 | 0.1654 | 24 | 0.0417 | number drill 16 (4.5 mm) |
| 6 | 1/4 | 0.186 | 20 | 0.05 | number drill 9 (5.1 mm) |
| 7 | 5/16 | 0.2414 | 18 | 0.0556 | letter drill f (6.5 mm) |
| 8 | 3/8 | 0.295 | 16 | 0.0625 | 5/16 in (7.94 mm) |
| 9 | 7/16 | 0.346 | 14 | 0.0714 | letter drill u (9.3 mm) |
| 10 | 1/2 | 0.3933 | 12 | 0.0833 | letter drill z (10.5 mm) |
| 11 | 9/16 | 0.4558 | 12 | 0.0833 | 12.1 mm (0.4764 in) |
| 12 | 5/8 | 0.5086 | 11 | 0.0909 | 13.5 mm (0.5315 in) |
| 13 | 11/16 | 0.5711 | 11 | 0.0909 | 15 mm (0.5906 in) |
| 14 | 3/4 | 0.6219 | 10 | 0.1 | 16.27 mm (0.6406 in) |
| 15 | 13/16 | 0.6845 | 10 | 0.1 | 18 mm (0.7087 in) |
| 16 | 7/8 | 0.7327 | 9 | 0.1111 | 19.25 mm (0.7579 in) |
| 17 | 15/16 | 0.7953 | 9 | 0.1111 | 20.75 mm (0.8169 in) |
| 18 | 1 | 0.8399 | 8 | 0.125 | 22 mm (0.8661 in) |
| 19 | 1 1/8 | 0.942 | 7 | 0.1429 | none |
| 20 | 1 1/4 | 1.067 | 7 | 0.1429 | none |
| 21 | 1 1/2 | 1.2866 | 6 | 0.1667 | none |
| 22 | 1 3/4 | 1.4939 | 5 | 0.2 | none |
| 23 | 2 | 1.7154 | 4.5 | 0.2222 | none |
| 24 | 2 1/2 | 2.18 | 4 | 0.25 | none | | | | count ( "whitworth size (in" ) |
|---:|---------------------------------:|
| 0 | 1 | | [
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[
1,
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select count ( brakes ) where notes = 'fitted with buckeye couplings' col : tops design code | electrical system | max speed | weight | brakes | route availability | notes row 1 : 08-0av | 90 v | 20 mph (32 km/h) | 49.8 te (496 kn) | vacuum | 5 | none row 2 : 08-0bx | 110 v | 20 mph (32 km/h) | 50.4 te (502 kn) | dual | 5 | none row 3 : 08-0ca | 90 v | 20 mph (32 km/h) | 49.6 te (494 kn) | air | 5 | none row 4 : 08-0dv | 90 v | 15 mph (24 km/h) | 49.8 te (496 kn) | vacuum | 5 | none row 5 : 08-0bx | 90 v | 15 mph (24 km/h) | 50.4 te (502 kn) | dual | 5 | none row 6 : 08-0fa | 90 v | 15 mph (24 km/h) | 49.6 te (494 kn) | air | 5 | none row 7 : 08-0kx | 110 v | 15 mph (24 km/h) | 50.4 te (502 kn) | dual | 5 | none row 8 : 08-0lx | 110 v | 15 mph (24 km/h) | 50.4 te (502 kn) | dual | 5 | scharfenberg adapter fitted row 9 : 08-0ma | 110 v | 15 mph (24 km/h) | 49.8 te (496 kn) | air | 5 | none row 10 : 08-0na | 90 v | 15 mph (24 km/h) | 49.8 te (496 kn) | air | 5 | fitted with buckeye couplings row 11 : 08-0pa | 90 v | 15 mph (24 km/h) | 51 te (508 kn) | air | 6 | fitted with buckeye couplings row 12 : 08-0qa | 90 v | 15 mph (24 km/h) | 51 te (508 kn) | air | 6 | fitted with buckeye couplings row 13 : 08-0ra | 110 v | 15 mph (24 km/h) | 51 te (508 kn) | air | 6 | fitted with buckeye couplings row 14 : 08-0sa | 110 v | 15 mph (24 km/h) | 49 te (488 kn) | air | 6 | none | col : count ( "brakes" ) row 1 : 4 | select count ( brakes ) where notes = 'fitted with buckeye couplings' <table_name> : table \begin{tabular}{llllllll}
\toprule
& tops design code & electrical system & max speed & weight & brakes & route availability & notes \\
\midrule
0 & 08-0av & 90 v & 20 mph (32 km/h) & 49.8 te (496 kn) & vacuum & 5 & none \\
1 & 08-0bx & 110 v & 20 mph (32 km/h) & 50.4 te (502 kn) & dual & 5 & none \\
2 & 08-0ca & 90 v & 20 mph (32 km/h) & 49.6 te (494 kn) & air & 5 & none \\
3 & 08-0dv & 90 v & 15 mph (24 km/h) & 49.8 te (496 kn) & vacuum & 5 & none \\
4 & 08-0bx & 90 v & 15 mph (24 km/h) & 50.4 te (502 kn) & dual & 5 & none \\
5 & 08-0fa & 90 v & 15 mph (24 km/h) & 49.6 te (494 kn) & air & 5 & none \\
6 & 08-0kx & 110 v & 15 mph (24 km/h) & 50.4 te (502 kn) & dual & 5 & none \\
7 & 08-0lx & 110 v & 15 mph (24 km/h) & 50.4 te (502 kn) & dual & 5 & scharfenberg adapter fitted \\
8 & 08-0ma & 110 v & 15 mph (24 km/h) & 49.8 te (496 kn) & air & 5 & none \\
9 & 08-0na & 90 v & 15 mph (24 km/h) & 49.8 te (496 kn) & air & 5 & fitted with buckeye couplings \\
10 & 08-0pa & 90 v & 15 mph (24 km/h) & 51 te (508 kn) & air & 6 & fitted with buckeye couplings \\
11 & 08-0qa & 90 v & 15 mph (24 km/h) & 51 te (508 kn) & air & 6 & fitted with buckeye couplings \\
12 & 08-0ra & 110 v & 15 mph (24 km/h) & 51 te (508 kn) & air & 6 & fitted with buckeye couplings \\
13 & 08-0sa & 110 v & 15 mph (24 km/h) & 49 te (488 kn) & air & 6 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "brakes" ) \\
\midrule
0 & 4 \\
\bottomrule
\end{tabular}
| select count ( brakes ) where notes = 'fitted with buckeye couplings' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>tops design code</th>
<th>electrical system</th>
<th>max speed</th>
<th>weight</th>
<th>brakes</th>
<th>route availability</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>08-0av</td>
<td>90 v</td>
<td>20 mph (32 km/h)</td>
<td>49.8 te (496 kn)</td>
<td>vacuum</td>
<td>5</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>08-0bx</td>
<td>110 v</td>
<td>20 mph (32 km/h)</td>
<td>50.4 te (502 kn)</td>
<td>dual</td>
<td>5</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>08-0ca</td>
<td>90 v</td>
<td>20 mph (32 km/h)</td>
<td>49.6 te (494 kn)</td>
<td>air</td>
<td>5</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>08-0dv</td>
<td>90 v</td>
<td>15 mph (24 km/h)</td>
<td>49.8 te (496 kn)</td>
<td>vacuum</td>
<td>5</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>08-0bx</td>
<td>90 v</td>
<td>15 mph (24 km/h)</td>
<td>50.4 te (502 kn)</td>
<td>dual</td>
<td>5</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>08-0fa</td>
<td>90 v</td>
<td>15 mph (24 km/h)</td>
<td>49.6 te (494 kn)</td>
<td>air</td>
<td>5</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>08-0kx</td>
<td>110 v</td>
<td>15 mph (24 km/h)</td>
<td>50.4 te (502 kn)</td>
<td>dual</td>
<td>5</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>08-0lx</td>
<td>110 v</td>
<td>15 mph (24 km/h)</td>
<td>50.4 te (502 kn)</td>
<td>dual</td>
<td>5</td>
<td>scharfenberg adapter fitted</td>
</tr>
<tr>
<th>8</th>
<td>08-0ma</td>
<td>110 v</td>
<td>15 mph (24 km/h)</td>
<td>49.8 te (496 kn)</td>
<td>air</td>
<td>5</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>08-0na</td>
<td>90 v</td>
<td>15 mph (24 km/h)</td>
<td>49.8 te (496 kn)</td>
<td>air</td>
<td>5</td>
<td>fitted with buckeye couplings</td>
</tr>
<tr>
<th>10</th>
<td>08-0pa</td>
<td>90 v</td>
<td>15 mph (24 km/h)</td>
<td>51 te (508 kn)</td>
<td>air</td>
<td>6</td>
<td>fitted with buckeye couplings</td>
</tr>
<tr>
<th>11</th>
<td>08-0qa</td>
<td>90 v</td>
<td>15 mph (24 km/h)</td>
<td>51 te (508 kn)</td>
<td>air</td>
<td>6</td>
<td>fitted with buckeye couplings</td>
</tr>
<tr>
<th>12</th>
<td>08-0ra</td>
<td>110 v</td>
<td>15 mph (24 km/h)</td>
<td>51 te (508 kn)</td>
<td>air</td>
<td>6</td>
<td>fitted with buckeye couplings</td>
</tr>
<tr>
<th>13</th>
<td>08-0sa</td>
<td>110 v</td>
<td>15 mph (24 km/h)</td>
<td>49 te (488 kn)</td>
<td>air</td>
<td>6</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "brakes" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>4</td>
</tr>
</tbody>
</table> | select count ( brakes ) where notes = 'fitted with buckeye couplings' <table_name> : table | | tops design code | electrical system | max speed | weight | brakes | route availability | notes |
|---:|:-------------------|:--------------------|:-----------------|:-----------------|:---------|---------------------:|:------------------------------|
| 0 | 08-0av | 90 v | 20 mph (32 km/h) | 49.8 te (496 kn) | vacuum | 5 | none |
| 1 | 08-0bx | 110 v | 20 mph (32 km/h) | 50.4 te (502 kn) | dual | 5 | none |
| 2 | 08-0ca | 90 v | 20 mph (32 km/h) | 49.6 te (494 kn) | air | 5 | none |
| 3 | 08-0dv | 90 v | 15 mph (24 km/h) | 49.8 te (496 kn) | vacuum | 5 | none |
| 4 | 08-0bx | 90 v | 15 mph (24 km/h) | 50.4 te (502 kn) | dual | 5 | none |
| 5 | 08-0fa | 90 v | 15 mph (24 km/h) | 49.6 te (494 kn) | air | 5 | none |
| 6 | 08-0kx | 110 v | 15 mph (24 km/h) | 50.4 te (502 kn) | dual | 5 | none |
| 7 | 08-0lx | 110 v | 15 mph (24 km/h) | 50.4 te (502 kn) | dual | 5 | scharfenberg adapter fitted |
| 8 | 08-0ma | 110 v | 15 mph (24 km/h) | 49.8 te (496 kn) | air | 5 | none |
| 9 | 08-0na | 90 v | 15 mph (24 km/h) | 49.8 te (496 kn) | air | 5 | fitted with buckeye couplings |
| 10 | 08-0pa | 90 v | 15 mph (24 km/h) | 51 te (508 kn) | air | 6 | fitted with buckeye couplings |
| 11 | 08-0qa | 90 v | 15 mph (24 km/h) | 51 te (508 kn) | air | 6 | fitted with buckeye couplings |
| 12 | 08-0ra | 110 v | 15 mph (24 km/h) | 51 te (508 kn) | air | 6 | fitted with buckeye couplings |
| 13 | 08-0sa | 110 v | 15 mph (24 km/h) | 49 te (488 kn) | air | 6 | none | | | | count ( "brakes" ) |
|---:|---------------------:|
| 0 | 4 | | [
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select count ( * ) where aircraft = 'beechcraft super king air 350' col : aircraft | origin | type | in service | notes row 1 : aero commander 500 | usa | light utility transport | 0 | 3 in service with the air wing from 1976 to 1990 row 2 : beechcraft super king air 350 | usa | light transport | 1 | in service since 2004 row 3 : cessna 208 caravan | usa | light transport | 1 | in service since 2007 row 4 : cessna 404 titan | usa | light transport | 0 | 1 in service with the air wing from 1991 to 2008 row 5 : cessna 421c golden eagle | usa | light transport | 0 | 1 in service with the air wing from 1988 to 2002 row 6 : partenvia p.68 observer | italy | light transport aircraft | 1 | in service since 2009 row 7 : piper pa-31 navajo | usa | light transport | 0 | in service since 1993 | col : count ( "*" ) row 1 : 1 | select count ( * ) where aircraft = 'beechcraft super king air 350' <table_name> : table \begin{tabular}{llllll}
\toprule
& aircraft & origin & type & in service & notes \\
\midrule
0 & aero commander 500 & usa & light utility transport & 0 & 3 in service with the air wing from 1976 to 1990 \\
1 & beechcraft super king air 350 & usa & light transport & 1 & in service since 2004 \\
2 & cessna 208 caravan & usa & light transport & 1 & in service since 2007 \\
3 & cessna 404 titan & usa & light transport & 0 & 1 in service with the air wing from 1991 to 2008 \\
4 & cessna 421c golden eagle & usa & light transport & 0 & 1 in service with the air wing from 1988 to 2002 \\
5 & partenvia p.68 observer & italy & light transport aircraft & 1 & in service since 2009 \\
6 & piper pa-31 navajo & usa & light transport & 0 & in service since 1993 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where aircraft = 'beechcraft super king air 350' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>aircraft</th>
<th>origin</th>
<th>type</th>
<th>in service</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>aero commander 500</td>
<td>usa</td>
<td>light utility transport</td>
<td>0</td>
<td>3 in service with the air wing from 1976 to 1990</td>
</tr>
<tr>
<th>1</th>
<td>beechcraft super king air 350</td>
<td>usa</td>
<td>light transport</td>
<td>1</td>
<td>in service since 2004</td>
</tr>
<tr>
<th>2</th>
<td>cessna 208 caravan</td>
<td>usa</td>
<td>light transport</td>
<td>1</td>
<td>in service since 2007</td>
</tr>
<tr>
<th>3</th>
<td>cessna 404 titan</td>
<td>usa</td>
<td>light transport</td>
<td>0</td>
<td>1 in service with the air wing from 1991 to 2008</td>
</tr>
<tr>
<th>4</th>
<td>cessna 421c golden eagle</td>
<td>usa</td>
<td>light transport</td>
<td>0</td>
<td>1 in service with the air wing from 1988 to 2002</td>
</tr>
<tr>
<th>5</th>
<td>partenvia p.68 observer</td>
<td>italy</td>
<td>light transport aircraft</td>
<td>1</td>
<td>in service since 2009</td>
</tr>
<tr>
<th>6</th>
<td>piper pa-31 navajo</td>
<td>usa</td>
<td>light transport</td>
<td>0</td>
<td>in service since 1993</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 aircraft = 'beechcraft super king air 350' <table_name> : table | | aircraft | origin | type | in service | notes |
|---:|:------------------------------|:---------|:-------------------------|-------------:|:-------------------------------------------------|
| 0 | aero commander 500 | usa | light utility transport | 0 | 3 in service with the air wing from 1976 to 1990 |
| 1 | beechcraft super king air 350 | usa | light transport | 1 | in service since 2004 |
| 2 | cessna 208 caravan | usa | light transport | 1 | in service since 2007 |
| 3 | cessna 404 titan | usa | light transport | 0 | 1 in service with the air wing from 1991 to 2008 |
| 4 | cessna 421c golden eagle | usa | light transport | 0 | 1 in service with the air wing from 1988 to 2002 |
| 5 | partenvia p.68 observer | italy | light transport aircraft | 1 | in service since 2009 |
| 6 | piper pa-31 navajo | usa | light transport | 0 | in service since 1993 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select count ( * ) where titles > 355 col : club | town | founded | nickname | colours | home ground | titles | website row 1 : churchill united | churchill | 1969 | rams | silver & red | hazelwood south reserve | 4 | row 2 : east gippsland united | bairnsdale | 2009 | none | navy blue & gold | howitt park sports complex | 0 | row 3 : falcons 2000 | morwell | 1961 | falcons | blue & black | latrobe city soccer stadium | 2 | row 4 : fortuna 60 | morwell | 1960 | lions | orange & black | crinigan road south reserve | 9 | row 5 : moe united | moe | 1952 | red devils | red, black & white | olympic park | 7 | row 6 : monash | newborough | 1958 | wolves | gold & black | monash reserve | 0 | row 7 : morwell pegasus | morwell | 1959 | the flying horse | maroon & sky blue | ronald reserve | 5 | row 8 : newborough/yallourn | newborough | none | none | navy blue | burrage reserve | 8 | row 9 : sale united | sale | 1974 | swans | green & white | godfrey baldwin reserve | 1 | row 10 : traralgon city | traralgon | 1968 | roosters | black & white | harold preston reserve | 0 | row 11 : traralgon olympians | traralgon | 1980 | olympians | blue & white | harold preston reserve | 8 | row 12 : tyers | tyers | 1982 | lightning | green & gold | tyers recreation reserve | 0 | | col : count ( "*" ) row 1 : 6 | select count ( * ) where titles > 355 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& club & town & founded & nickname & colours & home ground & titles & website \\
\midrule
0 & churchill united & churchill & 1969 & rams & silver & red & hazelwood south reserve & 4 & \\
1 & east gippsland united & bairnsdale & 2009 & none & navy blue & gold & howitt park sports complex & 0 & \\
2 & falcons 2000 & morwell & 1961 & falcons & blue & black & latrobe city soccer stadium & 2 & \\
3 & fortuna 60 & morwell & 1960 & lions & orange & black & crinigan road south reserve & 9 & \\
4 & moe united & moe & 1952 & red devils & red, black & white & olympic park & 7 & \\
5 & monash & newborough & 1958 & wolves & gold & black & monash reserve & 0 & \\
6 & morwell pegasus & morwell & 1959 & the flying horse & maroon & sky blue & ronald reserve & 5 & \\
7 & newborough/yallourn & newborough & none & none & navy blue & burrage reserve & 8 & \\
8 & sale united & sale & 1974 & swans & green & white & godfrey baldwin reserve & 1 & \\
9 & traralgon city & traralgon & 1968 & roosters & black & white & harold preston reserve & 0 & \\
10 & traralgon olympians & traralgon & 1980 & olympians & blue & white & harold preston reserve & 8 & \\
11 & tyers & tyers & 1982 & lightning & green & gold & tyers recreation reserve & 0 | & NaN \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 6 \\
\bottomrule
\end{tabular}
| select count ( * ) where titles > 355 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>club</th>
<th>town</th>
<th>founded</th>
<th>nickname</th>
<th>colours</th>
<th>home ground</th>
<th>titles</th>
<th>website</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>churchill united</td>
<td>churchill</td>
<td>1969</td>
<td>rams</td>
<td>silver & red</td>
<td>hazelwood south reserve</td>
<td>4</td>
<td></td>
</tr>
<tr>
<th>1</th>
<td>east gippsland united</td>
<td>bairnsdale</td>
<td>2009</td>
<td>none</td>
<td>navy blue & gold</td>
<td>howitt park sports complex</td>
<td>0</td>
<td></td>
</tr>
<tr>
<th>2</th>
<td>falcons 2000</td>
<td>morwell</td>
<td>1961</td>
<td>falcons</td>
<td>blue & black</td>
<td>latrobe city soccer stadium</td>
<td>2</td>
<td></td>
</tr>
<tr>
<th>3</th>
<td>fortuna 60</td>
<td>morwell</td>
<td>1960</td>
<td>lions</td>
<td>orange & black</td>
<td>crinigan road south reserve</td>
<td>9</td>
<td></td>
</tr>
<tr>
<th>4</th>
<td>moe united</td>
<td>moe</td>
<td>1952</td>
<td>red devils</td>
<td>red, black & white</td>
<td>olympic park</td>
<td>7</td>
<td></td>
</tr>
<tr>
<th>5</th>
<td>monash</td>
<td>newborough</td>
<td>1958</td>
<td>wolves</td>
<td>gold & black</td>
<td>monash reserve</td>
<td>0</td>
<td></td>
</tr>
<tr>
<th>6</th>
<td>morwell pegasus</td>
<td>morwell</td>
<td>1959</td>
<td>the flying horse</td>
<td>maroon & sky blue</td>
<td>ronald reserve</td>
<td>5</td>
<td></td>
</tr>
<tr>
<th>7</th>
<td>newborough/yallourn</td>
<td>newborough</td>
<td>none</td>
<td>none</td>
<td>navy blue</td>
<td>burrage reserve</td>
<td>8</td>
<td></td>
</tr>
<tr>
<th>8</th>
<td>sale united</td>
<td>sale</td>
<td>1974</td>
<td>swans</td>
<td>green & white</td>
<td>godfrey baldwin reserve</td>
<td>1</td>
<td></td>
</tr>
<tr>
<th>9</th>
<td>traralgon city</td>
<td>traralgon</td>
<td>1968</td>
<td>roosters</td>
<td>black & white</td>
<td>harold preston reserve</td>
<td>0</td>
<td></td>
</tr>
<tr>
<th>10</th>
<td>traralgon olympians</td>
<td>traralgon</td>
<td>1980</td>
<td>olympians</td>
<td>blue & white</td>
<td>harold preston reserve</td>
<td>8</td>
<td></td>
</tr>
<tr>
<th>11</th>
<td>tyers</td>
<td>tyers</td>
<td>1982</td>
<td>lightning</td>
<td>green & gold</td>
<td>tyers recreation reserve</td>
<td>0 |</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>6</td>
</tr>
</tbody>
</table> | select count ( * ) where titles > 355 <table_name> : table | | club | town | founded | nickname | colours | home ground | titles | website |
|---:|:----------------------|:-----------|:----------|:-----------------|:-------------------|:----------------------------|:---------|:----------|
| 0 | churchill united | churchill | 1969 | rams | silver & red | hazelwood south reserve | 4 | |
| 1 | east gippsland united | bairnsdale | 2009 | none | navy blue & gold | howitt park sports complex | 0 | |
| 2 | falcons 2000 | morwell | 1961 | falcons | blue & black | latrobe city soccer stadium | 2 | |
| 3 | fortuna 60 | morwell | 1960 | lions | orange & black | crinigan road south reserve | 9 | |
| 4 | moe united | moe | 1952 | red devils | red, black & white | olympic park | 7 | |
| 5 | monash | newborough | 1958 | wolves | gold & black | monash reserve | 0 | |
| 6 | morwell pegasus | morwell | 1959 | the flying horse | maroon & sky blue | ronald reserve | 5 | |
| 7 | newborough/yallourn | newborough | none | none | navy blue | burrage reserve | 8 | |
| 8 | sale united | sale | 1974 | swans | green & white | godfrey baldwin reserve | 1 | |
| 9 | traralgon city | traralgon | 1968 | roosters | black & white | harold preston reserve | 0 | |
| 10 | traralgon olympians | traralgon | 1980 | olympians | blue & white | harold preston reserve | 8 | |
| 11 | tyers | tyers | 1982 | lightning | green & gold | tyers recreation reserve | 0 | | | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 6 | | [
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select nation where silver = 42 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 : sri lanka | select nation where silver = 42 <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 & sri lanka \\
\bottomrule
\end{tabular}
| select nation where silver = 42 <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>sri lanka</td>
</tr>
</tbody>
</table> | select nation where silver = 42 <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 | sri lanka | | [
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select max ( title ) where role = 'orangejella labelle' col : year | title | role | notes row 1 : 1991 | flesh'n blood | penelope | 1 episode row 2 : 1992 | true colors | lorae | 1 episode row 3 : 1994 | the all-new mickey mouse (mmc) | herself | 1 episode row 4 : 1994-1999 | sister, sister | tamera campbell | 119 episodes row 5 : 1995 | are you afraid of the dark? | evil chameleon | 1 episode row 6 : 1995-1996 | the adventures of hyperman | emma c. squared | 8 episodes row 7 : 1996 | all that | herself | none row 8 : 1997 | smart guy | roxanne | 1 episode row 9 : 1998 | blues clues | herself | 1 episode row 10 : 1999 | detention | orangejella labelle | 13 episodes row 11 : 2000 | how i loved a macho boy | jamal santos | 3 episodes row 12 : 2004-2006 | strong medicine | dr. kayla thorton | 37 episodes row 13 : 2006-2007 | family guy | esther | voice 3 episodes row 14 : 2009 | roommates | hope | 13 episodes row 15 : 2009 | the super hero squad show | misty knight | 1 episode row 16 : 2011 | things we do for love | lourdes | 5 episodes row 17 : 2011 | access hollywood live | herself | co-host row 18 : 2011 | chrisjayify | herself | episode: "drugs are bad" row 19 : 2011-2013 | tia & tamera | herself | executive producer row 20 : 2012 | christmas angel | daphney | none row 21 : 2013 | the real | herself | host row 22 : 2014 | melissa and joey | gillian | season 3 episode 24 'to tell the truth' | col : max ( "title" ) row 1 : detention | select max ( title ) where role = 'orangejella labelle' <table_name> : table \begin{tabular}{lllll}
\toprule
& year & title & role & notes \\
\midrule
0 & 1991 & flesh'n blood & penelope & 1 episode \\
1 & 1992 & true colors & lorae & 1 episode \\
2 & 1994 & the all-new mickey mouse (mmc) & herself & 1 episode \\
3 & 1994-1999 & sister, sister & tamera campbell & 119 episodes \\
4 & 1995 & are you afraid of the dark? & evil chameleon & 1 episode \\
5 & 1995-1996 & the adventures of hyperman & emma c. squared & 8 episodes \\
6 & 1996 & all that & herself & none \\
7 & 1997 & smart guy & roxanne & 1 episode \\
8 & 1998 & blues clues & herself & 1 episode \\
9 & 1999 & detention & orangejella labelle & 13 episodes \\
10 & 2000 & how i loved a macho boy & jamal santos & 3 episodes \\
11 & 2004-2006 & strong medicine & dr. kayla thorton & 37 episodes \\
12 & 2006-2007 & family guy & esther & voice 3 episodes \\
13 & 2009 & roommates & hope & 13 episodes \\
14 & 2009 & the super hero squad show & misty knight & 1 episode \\
15 & 2011 & things we do for love & lourdes & 5 episodes \\
16 & 2011 & access hollywood live & herself & co-host \\
17 & 2011 & chrisjayify & herself & episode: "drugs are bad" \\
18 & 2011-2013 & tia & tamera & herself & executive producer \\
19 & 2012 & christmas angel & daphney & none \\
20 & 2013 & the real & herself & host \\
21 & 2014 & melissa and joey & gillian & season 3 episode 24 'to tell the truth' \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& max ( "title" ) \\
\midrule
0 & detention \\
\bottomrule
\end{tabular}
| select max ( title ) where role = 'orangejella labelle' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>title</th>
<th>role</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1991</td>
<td>flesh'n blood</td>
<td>penelope</td>
<td>1 episode</td>
</tr>
<tr>
<th>1</th>
<td>1992</td>
<td>true colors</td>
<td>lorae</td>
<td>1 episode</td>
</tr>
<tr>
<th>2</th>
<td>1994</td>
<td>the all-new mickey mouse (mmc)</td>
<td>herself</td>
<td>1 episode</td>
</tr>
<tr>
<th>3</th>
<td>1994-1999</td>
<td>sister, sister</td>
<td>tamera campbell</td>
<td>119 episodes</td>
</tr>
<tr>
<th>4</th>
<td>1995</td>
<td>are you afraid of the dark?</td>
<td>evil chameleon</td>
<td>1 episode</td>
</tr>
<tr>
<th>5</th>
<td>1995-1996</td>
<td>the adventures of hyperman</td>
<td>emma c. squared</td>
<td>8 episodes</td>
</tr>
<tr>
<th>6</th>
<td>1996</td>
<td>all that</td>
<td>herself</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>1997</td>
<td>smart guy</td>
<td>roxanne</td>
<td>1 episode</td>
</tr>
<tr>
<th>8</th>
<td>1998</td>
<td>blues clues</td>
<td>herself</td>
<td>1 episode</td>
</tr>
<tr>
<th>9</th>
<td>1999</td>
<td>detention</td>
<td>orangejella labelle</td>
<td>13 episodes</td>
</tr>
<tr>
<th>10</th>
<td>2000</td>
<td>how i loved a macho boy</td>
<td>jamal santos</td>
<td>3 episodes</td>
</tr>
<tr>
<th>11</th>
<td>2004-2006</td>
<td>strong medicine</td>
<td>dr. kayla thorton</td>
<td>37 episodes</td>
</tr>
<tr>
<th>12</th>
<td>2006-2007</td>
<td>family guy</td>
<td>esther</td>
<td>voice 3 episodes</td>
</tr>
<tr>
<th>13</th>
<td>2009</td>
<td>roommates</td>
<td>hope</td>
<td>13 episodes</td>
</tr>
<tr>
<th>14</th>
<td>2009</td>
<td>the super hero squad show</td>
<td>misty knight</td>
<td>1 episode</td>
</tr>
<tr>
<th>15</th>
<td>2011</td>
<td>things we do for love</td>
<td>lourdes</td>
<td>5 episodes</td>
</tr>
<tr>
<th>16</th>
<td>2011</td>
<td>access hollywood live</td>
<td>herself</td>
<td>co-host</td>
</tr>
<tr>
<th>17</th>
<td>2011</td>
<td>chrisjayify</td>
<td>herself</td>
<td>episode: "drugs are bad"</td>
</tr>
<tr>
<th>18</th>
<td>2011-2013</td>
<td>tia & tamera</td>
<td>herself</td>
<td>executive producer</td>
</tr>
<tr>
<th>19</th>
<td>2012</td>
<td>christmas angel</td>
<td>daphney</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>2013</td>
<td>the real</td>
<td>herself</td>
<td>host</td>
</tr>
<tr>
<th>21</th>
<td>2014</td>
<td>melissa and joey</td>
<td>gillian</td>
<td>season 3 episode 24 'to tell the truth'</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>max ( "title" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>detention</td>
</tr>
</tbody>
</table> | select max ( title ) where role = 'orangejella labelle' <table_name> : table | | year | title | role | notes |
|---:|:----------|:-------------------------------|:--------------------|:----------------------------------------|
| 0 | 1991 | flesh'n blood | penelope | 1 episode |
| 1 | 1992 | true colors | lorae | 1 episode |
| 2 | 1994 | the all-new mickey mouse (mmc) | herself | 1 episode |
| 3 | 1994-1999 | sister, sister | tamera campbell | 119 episodes |
| 4 | 1995 | are you afraid of the dark? | evil chameleon | 1 episode |
| 5 | 1995-1996 | the adventures of hyperman | emma c. squared | 8 episodes |
| 6 | 1996 | all that | herself | none |
| 7 | 1997 | smart guy | roxanne | 1 episode |
| 8 | 1998 | blues clues | herself | 1 episode |
| 9 | 1999 | detention | orangejella labelle | 13 episodes |
| 10 | 2000 | how i loved a macho boy | jamal santos | 3 episodes |
| 11 | 2004-2006 | strong medicine | dr. kayla thorton | 37 episodes |
| 12 | 2006-2007 | family guy | esther | voice 3 episodes |
| 13 | 2009 | roommates | hope | 13 episodes |
| 14 | 2009 | the super hero squad show | misty knight | 1 episode |
| 15 | 2011 | things we do for love | lourdes | 5 episodes |
| 16 | 2011 | access hollywood live | herself | co-host |
| 17 | 2011 | chrisjayify | herself | episode: "drugs are bad" |
| 18 | 2011-2013 | tia & tamera | herself | executive producer |
| 19 | 2012 | christmas angel | daphney | none |
| 20 | 2013 | the real | herself | host |
| 21 | 2014 | melissa and joey | gillian | season 3 episode 24 'to tell the truth' | | | | max ( "title" ) |
|---:|:------------------|
| 0 | detention | | [
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] |
select appearance where no. in season = 7 col : no. in series | no. in season | performer | appearance | air date row 1 : 268 | 1 | tom segura | only | 21 january 2011 row 2 : 269 | 2 | michael kosta | only | 21 january 2011 row 3 : 270 | 3 | sheng wang | only | 28 january 2011 row 4 : 271 | 4 | chelsea peretti | only | 28 january 2011 row 5 : 272 | 5 | chris d'elia | only | 4 february 2011 row 6 : 273 | 6 | nate bargatze | only | 4 february 2011 row 7 : 274 | 7 | hari kondabolu | only | 11 february 2011 row 8 : 275 | 8 | jack whitehall | only | 11 february 2011 row 9 : 276 | 9 | al jackson | only | 18 february 2011 row 10 : 277 | 10 | kyle kinane | only | 25 february 2011 row 11 : 278 | 11 | matt fulchiron | only | 25 february 2011 row 12 : 279 | 12 | mike vecchione | only | 4 march 2011 row 13 : 280 | 13 | jessi klein | only | 4 march 2011 row 14 : 281 | 14 | louis katz | only | 11 march 2011 row 15 : 282 | 15 | jay larson | only | 11 march 2011 row 16 : 283 | 16 | natasha leggero | only | 25 march 2011 | col : appearance row 1 : only | select appearance where no. in season = 7 <table_name> : table \begin{tabular}{llllll}
\toprule
& no. in series & no. in season & performer & appearance & air date \\
\midrule
0 & 268 & 1 & tom segura & only & 21 january 2011 \\
1 & 269 & 2 & michael kosta & only & 21 january 2011 \\
2 & 270 & 3 & sheng wang & only & 28 january 2011 \\
3 & 271 & 4 & chelsea peretti & only & 28 january 2011 \\
4 & 272 & 5 & chris d'elia & only & 4 february 2011 \\
5 & 273 & 6 & nate bargatze & only & 4 february 2011 \\
6 & 274 & 7 & hari kondabolu & only & 11 february 2011 \\
7 & 275 & 8 & jack whitehall & only & 11 february 2011 \\
8 & 276 & 9 & al jackson & only & 18 february 2011 \\
9 & 277 & 10 & kyle kinane & only & 25 february 2011 \\
10 & 278 & 11 & matt fulchiron & only & 25 february 2011 \\
11 & 279 & 12 & mike vecchione & only & 4 march 2011 \\
12 & 280 & 13 & jessi klein & only & 4 march 2011 \\
13 & 281 & 14 & louis katz & only & 11 march 2011 \\
14 & 282 & 15 & jay larson & only & 11 march 2011 \\
15 & 283 & 16 & natasha leggero & only & 25 march 2011 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& appearance \\
\midrule
0 & only \\
\bottomrule
\end{tabular}
| select appearance where no. in season = 7 <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>performer</th>
<th>appearance</th>
<th>air date</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>268</td>
<td>1</td>
<td>tom segura</td>
<td>only</td>
<td>21 january 2011</td>
</tr>
<tr>
<th>1</th>
<td>269</td>
<td>2</td>
<td>michael kosta</td>
<td>only</td>
<td>21 january 2011</td>
</tr>
<tr>
<th>2</th>
<td>270</td>
<td>3</td>
<td>sheng wang</td>
<td>only</td>
<td>28 january 2011</td>
</tr>
<tr>
<th>3</th>
<td>271</td>
<td>4</td>
<td>chelsea peretti</td>
<td>only</td>
<td>28 january 2011</td>
</tr>
<tr>
<th>4</th>
<td>272</td>
<td>5</td>
<td>chris d'elia</td>
<td>only</td>
<td>4 february 2011</td>
</tr>
<tr>
<th>5</th>
<td>273</td>
<td>6</td>
<td>nate bargatze</td>
<td>only</td>
<td>4 february 2011</td>
</tr>
<tr>
<th>6</th>
<td>274</td>
<td>7</td>
<td>hari kondabolu</td>
<td>only</td>
<td>11 february 2011</td>
</tr>
<tr>
<th>7</th>
<td>275</td>
<td>8</td>
<td>jack whitehall</td>
<td>only</td>
<td>11 february 2011</td>
</tr>
<tr>
<th>8</th>
<td>276</td>
<td>9</td>
<td>al jackson</td>
<td>only</td>
<td>18 february 2011</td>
</tr>
<tr>
<th>9</th>
<td>277</td>
<td>10</td>
<td>kyle kinane</td>
<td>only</td>
<td>25 february 2011</td>
</tr>
<tr>
<th>10</th>
<td>278</td>
<td>11</td>
<td>matt fulchiron</td>
<td>only</td>
<td>25 february 2011</td>
</tr>
<tr>
<th>11</th>
<td>279</td>
<td>12</td>
<td>mike vecchione</td>
<td>only</td>
<td>4 march 2011</td>
</tr>
<tr>
<th>12</th>
<td>280</td>
<td>13</td>
<td>jessi klein</td>
<td>only</td>
<td>4 march 2011</td>
</tr>
<tr>
<th>13</th>
<td>281</td>
<td>14</td>
<td>louis katz</td>
<td>only</td>
<td>11 march 2011</td>
</tr>
<tr>
<th>14</th>
<td>282</td>
<td>15</td>
<td>jay larson</td>
<td>only</td>
<td>11 march 2011</td>
</tr>
<tr>
<th>15</th>
<td>283</td>
<td>16</td>
<td>natasha leggero</td>
<td>only</td>
<td>25 march 2011</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>appearance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>only</td>
</tr>
</tbody>
</table> | select appearance where no. in season = 7 <table_name> : table | | no. in series | no. in season | performer | appearance | air date |
|---:|----------------:|----------------:|:----------------|:-------------|:-----------------|
| 0 | 268 | 1 | tom segura | only | 21 january 2011 |
| 1 | 269 | 2 | michael kosta | only | 21 january 2011 |
| 2 | 270 | 3 | sheng wang | only | 28 january 2011 |
| 3 | 271 | 4 | chelsea peretti | only | 28 january 2011 |
| 4 | 272 | 5 | chris d'elia | only | 4 february 2011 |
| 5 | 273 | 6 | nate bargatze | only | 4 february 2011 |
| 6 | 274 | 7 | hari kondabolu | only | 11 february 2011 |
| 7 | 275 | 8 | jack whitehall | only | 11 february 2011 |
| 8 | 276 | 9 | al jackson | only | 18 february 2011 |
| 9 | 277 | 10 | kyle kinane | only | 25 february 2011 |
| 10 | 278 | 11 | matt fulchiron | only | 25 february 2011 |
| 11 | 279 | 12 | mike vecchione | only | 4 march 2011 |
| 12 | 280 | 13 | jessi klein | only | 4 march 2011 |
| 13 | 281 | 14 | louis katz | only | 11 march 2011 |
| 14 | 282 | 15 | jay larson | only | 11 march 2011 |
| 15 | 283 | 16 | natasha leggero | only | 25 march 2011 | | | | appearance |
|---:|:-------------|
| 0 | only | | [
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select notes 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 : notes row 1 : scorpio, jr. & super crazy defeated the team of aero star & electroshock to win the vacant title row 2 : defeated los piratas (hijo de pirata morgan & pirata morgan), scorpio jr. & zumbido and tony rivera & veneno to win the vacant title | select notes 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
& notes \\
\midrule
0 & scorpio, jr. & super crazy defeated the team of aero star & electroshock to win the vacant title \\
1 & defeated los piratas (hijo de pirata morgan & pirata morgan), scorpio jr. & zumbido and tony rivera & veneno to win the vacant title \\
\bottomrule
\end{tabular}
| select notes 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>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>scorpio, jr. & super crazy defeated the team of aero star & electroshock to win the vacant title</td>
</tr>
<tr>
<th>1</th>
<td>defeated los piratas (hijo de pirata morgan & pirata morgan), scorpio jr. & zumbido and tony rivera & veneno to win the vacant title</td>
</tr>
</tbody>
</table> | select notes 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 | | | | notes |
|---:|:-------------------------------------------------------------------------------------------------------------------------------------|
| 0 | scorpio, jr. & super crazy defeated the team of aero star & electroshock to win the vacant title |
| 1 | defeated los piratas (hijo de pirata morgan & pirata morgan), scorpio jr. & zumbido and tony rivera & veneno to win the vacant title | | [
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select attendance where rank# = '#25' col : date | time | opponent# | rank# | site | tv | result | attendance row 1 : september 1 | 2:30 pm | #9 (fcs) northern iowa | #12 | camp randall stadium • madison, wi | btn | w 26-21 | 79568 row 2 : september 8 | 3:00 pm | at oregon state | #13 | reser stadium • corvallis, or | fx | l 7-10 | 42189 row 3 : september 15 | 7:00 pm | utah state | #22 | camp randall stadium • madison, wi | btn | w 16-14 | 79332 row 4 : september 22 | 11:00 am | utep | #24 | camp randall stadium • madison, wi | espn2 | w 37-26 | 79806 row 5 : september 29 | 7:00 pm | at #20 nebraska | #23 | memorial stadium • lincoln, ne | abc | l 27-30 | 85962 row 6 : october 6 | 2:30 pm | illinois | none | camp randall stadium • madison, wi | abc/espn2 | w 31-14 | 80096 row 7 : october 13 | 11:00 am | at purdue | none | ross-ade stadium • west lafayette, in | btn | w 38-14 | 46007 row 8 : october 20 | 11:00 am | minnesota | none | camp randall stadium • madison, wi (paul bunyan's axe) | espnu | w 38-13 | 80587 row 9 : october 27 | 2:30 pm | michigan state | #25 | camp randall stadium • madison, wi | abc/espn2 | l 13-16 ot | 80538 row 10 : november 10 | 11:00 am | at indiana | none | memorial stadium • bloomington, in | espn2 | w 62-14 | 43240 row 11 : november 17 | 2:30 pm | ohio state | none | camp randall stadium • madison, wi | abc/espn2 | l 14-21 ot | 80112 row 12 : november 24 | 2:30 pm | at penn state | none | beaver stadium • university park, pa | espn2 | l 21-24 ot | 93505 row 13 : december 1 | 7:00 pm | vs. #14 nebraska | none | lucas oil stadium • indianapolis, in (big ten championship game) | fox | w 70-31 | 41260 row 14 : january 1, 2013 | 4:10 pm | vs. #8 stanford | #23 | rose bowl • pasadena, ca (rose bowl) | espn | l 14-20 | 93259 | col : attendance row 1 : 80538 | select attendance where rank# = '#25' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& date & time & opponent# & rank# & site & tv & result & attendance \\
\midrule
0 & september 1 & 2:30 pm & #9 (fcs) northern iowa & #12 & camp randall stadium • madison, wi & btn & w 26-21 & 79568 \\
1 & september 8 & 3:00 pm & at oregon state & #13 & reser stadium • corvallis, or & fx & l 7-10 & 42189 \\
2 & september 15 & 7:00 pm & utah state & #22 & camp randall stadium • madison, wi & btn & w 16-14 & 79332 \\
3 & september 22 & 11:00 am & utep & #24 & camp randall stadium • madison, wi & espn2 & w 37-26 & 79806 \\
4 & september 29 & 7:00 pm & at #20 nebraska & #23 & memorial stadium • lincoln, ne & abc & l 27-30 & 85962 \\
5 & october 6 & 2:30 pm & illinois & none & camp randall stadium • madison, wi & abc/espn2 & w 31-14 & 80096 \\
6 & october 13 & 11:00 am & at purdue & none & ross-ade stadium • west lafayette, in & btn & w 38-14 & 46007 \\
7 & october 20 & 11:00 am & minnesota & none & camp randall stadium • madison, wi (paul bunyan's axe) & espnu & w 38-13 & 80587 \\
8 & october 27 & 2:30 pm & michigan state & #25 & camp randall stadium • madison, wi & abc/espn2 & l 13-16 ot & 80538 \\
9 & november 10 & 11:00 am & at indiana & none & memorial stadium • bloomington, in & espn2 & w 62-14 & 43240 \\
10 & november 17 & 2:30 pm & ohio state & none & camp randall stadium • madison, wi & abc/espn2 & l 14-21 ot & 80112 \\
11 & november 24 & 2:30 pm & at penn state & none & beaver stadium • university park, pa & espn2 & l 21-24 ot & 93505 \\
12 & december 1 & 7:00 pm & vs. #14 nebraska & none & lucas oil stadium • indianapolis, in (big ten championship game) & fox & w 70-31 & 41260 \\
13 & january 1, 2013 & 4:10 pm & vs. #8 stanford & #23 & rose bowl • pasadena, ca (rose bowl) & espn & l 14-20 & 93259 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& attendance \\
\midrule
0 & 80538 \\
\bottomrule
\end{tabular}
| select attendance where rank# = '#25' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>time</th>
<th>opponent#</th>
<th>rank#</th>
<th>site</th>
<th>tv</th>
<th>result</th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>september 1</td>
<td>2:30 pm</td>
<td>#9 (fcs) northern iowa</td>
<td>#12</td>
<td>camp randall stadium • madison, wi</td>
<td>btn</td>
<td>w 26-21</td>
<td>79568</td>
</tr>
<tr>
<th>1</th>
<td>september 8</td>
<td>3:00 pm</td>
<td>at oregon state</td>
<td>#13</td>
<td>reser stadium • corvallis, or</td>
<td>fx</td>
<td>l 7-10</td>
<td>42189</td>
</tr>
<tr>
<th>2</th>
<td>september 15</td>
<td>7:00 pm</td>
<td>utah state</td>
<td>#22</td>
<td>camp randall stadium • madison, wi</td>
<td>btn</td>
<td>w 16-14</td>
<td>79332</td>
</tr>
<tr>
<th>3</th>
<td>september 22</td>
<td>11:00 am</td>
<td>utep</td>
<td>#24</td>
<td>camp randall stadium • madison, wi</td>
<td>espn2</td>
<td>w 37-26</td>
<td>79806</td>
</tr>
<tr>
<th>4</th>
<td>september 29</td>
<td>7:00 pm</td>
<td>at #20 nebraska</td>
<td>#23</td>
<td>memorial stadium • lincoln, ne</td>
<td>abc</td>
<td>l 27-30</td>
<td>85962</td>
</tr>
<tr>
<th>5</th>
<td>october 6</td>
<td>2:30 pm</td>
<td>illinois</td>
<td>none</td>
<td>camp randall stadium • madison, wi</td>
<td>abc/espn2</td>
<td>w 31-14</td>
<td>80096</td>
</tr>
<tr>
<th>6</th>
<td>october 13</td>
<td>11:00 am</td>
<td>at purdue</td>
<td>none</td>
<td>ross-ade stadium • west lafayette, in</td>
<td>btn</td>
<td>w 38-14</td>
<td>46007</td>
</tr>
<tr>
<th>7</th>
<td>october 20</td>
<td>11:00 am</td>
<td>minnesota</td>
<td>none</td>
<td>camp randall stadium • madison, wi (paul bunyan's axe)</td>
<td>espnu</td>
<td>w 38-13</td>
<td>80587</td>
</tr>
<tr>
<th>8</th>
<td>october 27</td>
<td>2:30 pm</td>
<td>michigan state</td>
<td>#25</td>
<td>camp randall stadium • madison, wi</td>
<td>abc/espn2</td>
<td>l 13-16 ot</td>
<td>80538</td>
</tr>
<tr>
<th>9</th>
<td>november 10</td>
<td>11:00 am</td>
<td>at indiana</td>
<td>none</td>
<td>memorial stadium • bloomington, in</td>
<td>espn2</td>
<td>w 62-14</td>
<td>43240</td>
</tr>
<tr>
<th>10</th>
<td>november 17</td>
<td>2:30 pm</td>
<td>ohio state</td>
<td>none</td>
<td>camp randall stadium • madison, wi</td>
<td>abc/espn2</td>
<td>l 14-21 ot</td>
<td>80112</td>
</tr>
<tr>
<th>11</th>
<td>november 24</td>
<td>2:30 pm</td>
<td>at penn state</td>
<td>none</td>
<td>beaver stadium • university park, pa</td>
<td>espn2</td>
<td>l 21-24 ot</td>
<td>93505</td>
</tr>
<tr>
<th>12</th>
<td>december 1</td>
<td>7:00 pm</td>
<td>vs. #14 nebraska</td>
<td>none</td>
<td>lucas oil stadium • indianapolis, in (big ten championship game)</td>
<td>fox</td>
<td>w 70-31</td>
<td>41260</td>
</tr>
<tr>
<th>13</th>
<td>january 1, 2013</td>
<td>4:10 pm</td>
<td>vs. #8 stanford</td>
<td>#23</td>
<td>rose bowl • pasadena, ca (rose bowl)</td>
<td>espn</td>
<td>l 14-20</td>
<td>93259</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>attendance</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>80538</td>
</tr>
</tbody>
</table> | select attendance where rank# = '#25' <table_name> : table | | date | time | opponent# | rank# | site | tv | result | attendance |
|---:|:----------------|:---------|:-----------------------|:--------|:-----------------------------------------------------------------|:----------|:-----------|-------------:|
| 0 | september 1 | 2:30 pm | #9 (fcs) northern iowa | #12 | camp randall stadium • madison, wi | btn | w 26-21 | 79568 |
| 1 | september 8 | 3:00 pm | at oregon state | #13 | reser stadium • corvallis, or | fx | l 7-10 | 42189 |
| 2 | september 15 | 7:00 pm | utah state | #22 | camp randall stadium • madison, wi | btn | w 16-14 | 79332 |
| 3 | september 22 | 11:00 am | utep | #24 | camp randall stadium • madison, wi | espn2 | w 37-26 | 79806 |
| 4 | september 29 | 7:00 pm | at #20 nebraska | #23 | memorial stadium • lincoln, ne | abc | l 27-30 | 85962 |
| 5 | october 6 | 2:30 pm | illinois | none | camp randall stadium • madison, wi | abc/espn2 | w 31-14 | 80096 |
| 6 | october 13 | 11:00 am | at purdue | none | ross-ade stadium • west lafayette, in | btn | w 38-14 | 46007 |
| 7 | october 20 | 11:00 am | minnesota | none | camp randall stadium • madison, wi (paul bunyan's axe) | espnu | w 38-13 | 80587 |
| 8 | october 27 | 2:30 pm | michigan state | #25 | camp randall stadium • madison, wi | abc/espn2 | l 13-16 ot | 80538 |
| 9 | november 10 | 11:00 am | at indiana | none | memorial stadium • bloomington, in | espn2 | w 62-14 | 43240 |
| 10 | november 17 | 2:30 pm | ohio state | none | camp randall stadium • madison, wi | abc/espn2 | l 14-21 ot | 80112 |
| 11 | november 24 | 2:30 pm | at penn state | none | beaver stadium • university park, pa | espn2 | l 21-24 ot | 93505 |
| 12 | december 1 | 7:00 pm | vs. #14 nebraska | none | lucas oil stadium • indianapolis, in (big ten championship game) | fox | w 70-31 | 41260 |
| 13 | january 1, 2013 | 4:10 pm | vs. #8 stanford | #23 | rose bowl • pasadena, ca (rose bowl) | espn | l 14-20 | 93259 | | | | attendance |
|---:|-------------:|
| 0 | 80538 | | [
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select televote where artist = 'sandra oxenryd' 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 : televote row 1 : 3 | select televote where artist = 'sandra oxenryd' <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
& televote \\
\midrule
0 & 3 \\
\bottomrule
\end{tabular}
| select televote where artist = 'sandra oxenryd' <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>televote</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>3</td>
</tr>
</tbody>
</table> | select televote where artist = 'sandra oxenryd' <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 | | | | televote |
|---:|-----------:|
| 0 | 3 | | [
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select startup date where country = 'indonesia' col : plant name | location | country | startup date | capacity (mmtpa) | corporation row 1 : qatargas ii | ras laffan | qatar | 2009 | 7.8 | none row 2 : arzew gl4z | none | algeria | 1964 | 0.9 | none row 3 : arzew gl1z | none | algeria | 1978 | none | none row 4 : arzew gl1z | none | algeria | 1997 | 7.9 | none row 5 : skikda gl1k | none | algeria | 1972 | none | none row 6 : skikda gl1k | none | algeria | 1981 | none | none row 7 : skikda gl1k | none | algeria | 1999 | 6 | none row 8 : angola lng | soyo | angola | 2013 | 5.2 | chevron row 9 : lumut 1 | none | brunei | 1972 | 7.2 | none row 10 : badak a-b | bontang | indonesia | 1977 | none | none row 11 : badak a-d | bontang | indonesia | 1986 | none | none row 12 : badak a-e | bontang | indonesia | 1989 | none | none row 13 : badak a-f | bontang | indonesia | 1993 | none | none row 14 : badak a-g | bontang | indonesia | 1998 | none | none row 15 : badak ngl a-h | bontang | indonesia | 1999 | 22.6 | none row 16 : atlantic lng | point fortin | trinidad and tobago | 1999 | none | atlantic lng row 17 : [atlantic lng] | [point fortin] | trinidad and tobago | 2003 | 9.9 | atlantic lng row 18 : none | damietta | egypt | 2004 | 5.5 | segas lng row 19 : none | idku | egypt | 2005 | 7.2 | none row 20 : bintulu mlng 1 | none | malaysia | 1983 | 7.6 | none row 21 : bintulu mlng 2 | none | malaysia | 1994 | 7.8 | none row 22 : bintulu mlng 3 | none | malaysia | 2003 | 3.4 | none row 23 : nigeria lng | none | nigeria | 1999 | 23.5 | none row 24 : northwest shelf venture | karratha | australia | 2009 | 16.3 | none row 25 : withnell bay | karratha | australia | 1989 | none | none row 26 : withnell bay | karratha | australia | 1995 | (7.7) | none row 27 : sakhalin ii | none | russia | 2009 | 9.6 | none row 28 : yemen lng | balhaf | yemen | 2008 | 6.7 | none row 29 : tangguh lng project | papua barat | indonesia | 2009 | 7.6 | none row 30 : qatargas i | ras laffan | qatar | 1996 | (4.0) | none row 31 : qatargas i | ras laffan | qatar | 2005 | 10 | none row 32 : qatargas iii | none | qatar | 2010 | 7.8 | none row 33 : rasgas i, ii and iii | ras laffan | qatar | 1999 | 36.3 | none row 34 : qalhat | none | oman | 2000 | 7.3 | none row 35 : das island i | none | united arab emirates | 1977 | none | none row 36 : das island i and ii | none | united arab emirates | 1994 | 5.7 | none row 37 : melkøya | hammerfest | norway | 2007 | 4.2 | statoil | col : startup date row 1 : 1977 row 2 : 1986 row 3 : 1989 row 4 : 1993 row 5 : 1998 row 6 : 1999 row 7 : 2009 | select startup date where country = 'indonesia' <table_name> : table \begin{tabular}{lllllll}
\toprule
& plant name & location & country & startup date & capacity (mmtpa) & corporation \\
\midrule
0 & qatargas ii & ras laffan & qatar & 2009 & 7.8 & none \\
1 & arzew gl4z & none & algeria & 1964 & 0.9 & none \\
2 & arzew gl1z & none & algeria & 1978 & none & none \\
3 & arzew gl1z & none & algeria & 1997 & 7.9 & none \\
4 & skikda gl1k & none & algeria & 1972 & none & none \\
5 & skikda gl1k & none & algeria & 1981 & none & none \\
6 & skikda gl1k & none & algeria & 1999 & 6 & none \\
7 & angola lng & soyo & angola & 2013 & 5.2 & chevron \\
8 & lumut 1 & none & brunei & 1972 & 7.2 & none \\
9 & badak a-b & bontang & indonesia & 1977 & none & none \\
10 & badak a-d & bontang & indonesia & 1986 & none & none \\
11 & badak a-e & bontang & indonesia & 1989 & none & none \\
12 & badak a-f & bontang & indonesia & 1993 & none & none \\
13 & badak a-g & bontang & indonesia & 1998 & none & none \\
14 & badak ngl a-h & bontang & indonesia & 1999 & 22.6 & none \\
15 & atlantic lng & point fortin & trinidad and tobago & 1999 & none & atlantic lng \\
16 & [atlantic lng] & [point fortin] & trinidad and tobago & 2003 & 9.9 & atlantic lng \\
17 & none & damietta & egypt & 2004 & 5.5 & segas lng \\
18 & none & idku & egypt & 2005 & 7.2 & none \\
19 & bintulu mlng 1 & none & malaysia & 1983 & 7.6 & none \\
20 & bintulu mlng 2 & none & malaysia & 1994 & 7.8 & none \\
21 & bintulu mlng 3 & none & malaysia & 2003 & 3.4 & none \\
22 & nigeria lng & none & nigeria & 1999 & 23.5 & none \\
23 & northwest shelf venture & karratha & australia & 2009 & 16.3 & none \\
24 & withnell bay & karratha & australia & 1989 & none & none \\
25 & withnell bay & karratha & australia & 1995 & (7.7) & none \\
26 & sakhalin ii & none & russia & 2009 & 9.6 & none \\
27 & yemen lng & balhaf & yemen & 2008 & 6.7 & none \\
28 & tangguh lng project & papua barat & indonesia & 2009 & 7.6 & none \\
29 & qatargas i & ras laffan & qatar & 1996 & (4.0) & none \\
30 & qatargas i & ras laffan & qatar & 2005 & 10 & none \\
31 & qatargas iii & none & qatar & 2010 & 7.8 & none \\
32 & rasgas i, ii and iii & ras laffan & qatar & 1999 & 36.3 & none \\
33 & qalhat & none & oman & 2000 & 7.3 & none \\
34 & das island i & none & united arab emirates & 1977 & none & none \\
35 & das island i and ii & none & united arab emirates & 1994 & 5.7 & none \\
36 & melkøya & hammerfest & norway & 2007 & 4.2 & statoil \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& startup date \\
\midrule
0 & 1977 \\
1 & 1986 \\
2 & 1989 \\
3 & 1993 \\
4 & 1998 \\
5 & 1999 \\
6 & 2009 \\
\bottomrule
\end{tabular}
| select startup date where country = 'indonesia' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>plant name</th>
<th>location</th>
<th>country</th>
<th>startup date</th>
<th>capacity (mmtpa)</th>
<th>corporation</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>qatargas ii</td>
<td>ras laffan</td>
<td>qatar</td>
<td>2009</td>
<td>7.8</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>arzew gl4z</td>
<td>none</td>
<td>algeria</td>
<td>1964</td>
<td>0.9</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>arzew gl1z</td>
<td>none</td>
<td>algeria</td>
<td>1978</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>arzew gl1z</td>
<td>none</td>
<td>algeria</td>
<td>1997</td>
<td>7.9</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>skikda gl1k</td>
<td>none</td>
<td>algeria</td>
<td>1972</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>skikda gl1k</td>
<td>none</td>
<td>algeria</td>
<td>1981</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>skikda gl1k</td>
<td>none</td>
<td>algeria</td>
<td>1999</td>
<td>6</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>angola lng</td>
<td>soyo</td>
<td>angola</td>
<td>2013</td>
<td>5.2</td>
<td>chevron</td>
</tr>
<tr>
<th>8</th>
<td>lumut 1</td>
<td>none</td>
<td>brunei</td>
<td>1972</td>
<td>7.2</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>badak a-b</td>
<td>bontang</td>
<td>indonesia</td>
<td>1977</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>badak a-d</td>
<td>bontang</td>
<td>indonesia</td>
<td>1986</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>badak a-e</td>
<td>bontang</td>
<td>indonesia</td>
<td>1989</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>badak a-f</td>
<td>bontang</td>
<td>indonesia</td>
<td>1993</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>badak a-g</td>
<td>bontang</td>
<td>indonesia</td>
<td>1998</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>badak ngl a-h</td>
<td>bontang</td>
<td>indonesia</td>
<td>1999</td>
<td>22.6</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>atlantic lng</td>
<td>point fortin</td>
<td>trinidad and tobago</td>
<td>1999</td>
<td>none</td>
<td>atlantic lng</td>
</tr>
<tr>
<th>16</th>
<td>[atlantic lng]</td>
<td>[point fortin]</td>
<td>trinidad and tobago</td>
<td>2003</td>
<td>9.9</td>
<td>atlantic lng</td>
</tr>
<tr>
<th>17</th>
<td>none</td>
<td>damietta</td>
<td>egypt</td>
<td>2004</td>
<td>5.5</td>
<td>segas lng</td>
</tr>
<tr>
<th>18</th>
<td>none</td>
<td>idku</td>
<td>egypt</td>
<td>2005</td>
<td>7.2</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>bintulu mlng 1</td>
<td>none</td>
<td>malaysia</td>
<td>1983</td>
<td>7.6</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>bintulu mlng 2</td>
<td>none</td>
<td>malaysia</td>
<td>1994</td>
<td>7.8</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>bintulu mlng 3</td>
<td>none</td>
<td>malaysia</td>
<td>2003</td>
<td>3.4</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>nigeria lng</td>
<td>none</td>
<td>nigeria</td>
<td>1999</td>
<td>23.5</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>northwest shelf venture</td>
<td>karratha</td>
<td>australia</td>
<td>2009</td>
<td>16.3</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>withnell bay</td>
<td>karratha</td>
<td>australia</td>
<td>1989</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>withnell bay</td>
<td>karratha</td>
<td>australia</td>
<td>1995</td>
<td>(7.7)</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>sakhalin ii</td>
<td>none</td>
<td>russia</td>
<td>2009</td>
<td>9.6</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>yemen lng</td>
<td>balhaf</td>
<td>yemen</td>
<td>2008</td>
<td>6.7</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>tangguh lng project</td>
<td>papua barat</td>
<td>indonesia</td>
<td>2009</td>
<td>7.6</td>
<td>none</td>
</tr>
<tr>
<th>29</th>
<td>qatargas i</td>
<td>ras laffan</td>
<td>qatar</td>
<td>1996</td>
<td>(4.0)</td>
<td>none</td>
</tr>
<tr>
<th>30</th>
<td>qatargas i</td>
<td>ras laffan</td>
<td>qatar</td>
<td>2005</td>
<td>10</td>
<td>none</td>
</tr>
<tr>
<th>31</th>
<td>qatargas iii</td>
<td>none</td>
<td>qatar</td>
<td>2010</td>
<td>7.8</td>
<td>none</td>
</tr>
<tr>
<th>32</th>
<td>rasgas i, ii and iii</td>
<td>ras laffan</td>
<td>qatar</td>
<td>1999</td>
<td>36.3</td>
<td>none</td>
</tr>
<tr>
<th>33</th>
<td>qalhat</td>
<td>none</td>
<td>oman</td>
<td>2000</td>
<td>7.3</td>
<td>none</td>
</tr>
<tr>
<th>34</th>
<td>das island i</td>
<td>none</td>
<td>united arab emirates</td>
<td>1977</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>35</th>
<td>das island i and ii</td>
<td>none</td>
<td>united arab emirates</td>
<td>1994</td>
<td>5.7</td>
<td>none</td>
</tr>
<tr>
<th>36</th>
<td>melkøya</td>
<td>hammerfest</td>
<td>norway</td>
<td>2007</td>
<td>4.2</td>
<td>statoil</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>startup date</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1977</td>
</tr>
<tr>
<th>1</th>
<td>1986</td>
</tr>
<tr>
<th>2</th>
<td>1989</td>
</tr>
<tr>
<th>3</th>
<td>1993</td>
</tr>
<tr>
<th>4</th>
<td>1998</td>
</tr>
<tr>
<th>5</th>
<td>1999</td>
</tr>
<tr>
<th>6</th>
<td>2009</td>
</tr>
</tbody>
</table> | select startup date where country = 'indonesia' <table_name> : table | | plant name | location | country | startup date | capacity (mmtpa) | corporation |
|---:|:------------------------|:---------------|:---------------------|---------------:|:-------------------|:--------------|
| 0 | qatargas ii | ras laffan | qatar | 2009 | 7.8 | none |
| 1 | arzew gl4z | none | algeria | 1964 | 0.9 | none |
| 2 | arzew gl1z | none | algeria | 1978 | none | none |
| 3 | arzew gl1z | none | algeria | 1997 | 7.9 | none |
| 4 | skikda gl1k | none | algeria | 1972 | none | none |
| 5 | skikda gl1k | none | algeria | 1981 | none | none |
| 6 | skikda gl1k | none | algeria | 1999 | 6 | none |
| 7 | angola lng | soyo | angola | 2013 | 5.2 | chevron |
| 8 | lumut 1 | none | brunei | 1972 | 7.2 | none |
| 9 | badak a-b | bontang | indonesia | 1977 | none | none |
| 10 | badak a-d | bontang | indonesia | 1986 | none | none |
| 11 | badak a-e | bontang | indonesia | 1989 | none | none |
| 12 | badak a-f | bontang | indonesia | 1993 | none | none |
| 13 | badak a-g | bontang | indonesia | 1998 | none | none |
| 14 | badak ngl a-h | bontang | indonesia | 1999 | 22.6 | none |
| 15 | atlantic lng | point fortin | trinidad and tobago | 1999 | none | atlantic lng |
| 16 | [atlantic lng] | [point fortin] | trinidad and tobago | 2003 | 9.9 | atlantic lng |
| 17 | none | damietta | egypt | 2004 | 5.5 | segas lng |
| 18 | none | idku | egypt | 2005 | 7.2 | none |
| 19 | bintulu mlng 1 | none | malaysia | 1983 | 7.6 | none |
| 20 | bintulu mlng 2 | none | malaysia | 1994 | 7.8 | none |
| 21 | bintulu mlng 3 | none | malaysia | 2003 | 3.4 | none |
| 22 | nigeria lng | none | nigeria | 1999 | 23.5 | none |
| 23 | northwest shelf venture | karratha | australia | 2009 | 16.3 | none |
| 24 | withnell bay | karratha | australia | 1989 | none | none |
| 25 | withnell bay | karratha | australia | 1995 | (7.7) | none |
| 26 | sakhalin ii | none | russia | 2009 | 9.6 | none |
| 27 | yemen lng | balhaf | yemen | 2008 | 6.7 | none |
| 28 | tangguh lng project | papua barat | indonesia | 2009 | 7.6 | none |
| 29 | qatargas i | ras laffan | qatar | 1996 | (4.0) | none |
| 30 | qatargas i | ras laffan | qatar | 2005 | 10 | none |
| 31 | qatargas iii | none | qatar | 2010 | 7.8 | none |
| 32 | rasgas i, ii and iii | ras laffan | qatar | 1999 | 36.3 | none |
| 33 | qalhat | none | oman | 2000 | 7.3 | none |
| 34 | das island i | none | united arab emirates | 1977 | none | none |
| 35 | das island i and ii | none | united arab emirates | 1994 | 5.7 | none |
| 36 | melkøya | hammerfest | norway | 2007 | 4.2 | statoil | | | | startup date |
|---:|---------------:|
| 0 | 1977 |
| 1 | 1986 |
| 2 | 1989 |
| 3 | 1993 |
| 4 | 1998 |
| 5 | 1999 |
| 6 | 2009 | | [
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select avg ( call sign ) where licensee = 'charles d. hall' col : call sign | frequency | city of license | licensee | format row 1 : kmsa | 91.3 fm | grand junction | colorado mesa university | aaa row 2 : kmgj | 93.1 fm | grand junction | mbc grand broadcasting, inc | top 40 (chr)/contemporary hit radio row 3 : kkvt | 100.7 fm | grand junction | mbc grand broadcasting, inc | country row 4 : klfv | 90.3 fm | grand junction | educational media foundation | christian contemporary row 5 : kmoz-fm | 92.3 fm | grand junction | mbc grand broadcasting, inc | adult hits row 6 : kgjn-lp | 106.7 fm | grand junction | colorado, state of, telecom servs | news talk information row 7 : kjol | 620 am | grand junction | united ministries | christian contemporary row 8 : kcic | 88.5 fm | grand junction | pear park baptist schools | religious row 9 : kbkl | 107.9 fm | grand junction | townsquare media group | oldies row 10 : kafm | 88.1 fm | grand junction | grand valley public radio co, inc | variety row 11 : kexo | 1230 am | grand junction | townsquare media group | regional mexican/talk row 12 : knzz | 1100 am | grand junction | mbc grand broadcasting, inc | news/talk row 13 : kmxy | 104.3 fm | grand junction | townsquare media group | hot adult contemporary row 14 : kprn | 89.5 fm | grand junction | public broadcasting of colorado, inc | public/news/talk row 15 : ktmm | 1340 am | grand junction | mbc grand broadcasting, inc | sports/talk row 16 : kaai | 98.5 fm | palisade, colorado | educational media foundation | christian rock row 17 : kmzk (fm) | 106.9 fm | clifton | charles d. hall | none row 18 : kekb | 99.9 fm | fruita | townsquare media group | country row 19 : krzx | 106.1 fm | redlands | cochise media licenses llc | none row 20 : kzks | 105.3 fm | rifle, colorado | western slope communications | classic hits row 21 : knoz | 97.7 fm | orchard mesa | paul varecha | all-news radio row 22 : ktun | 93.5 fm | new castle, colorado | wildcat communications | spanish hits row 23 : kknn | 95.1 fm | delta, colorado | townsquare media group | active rock row 24 : kstr-fm | 96.1 fm | montrose, colorado | mbc grand broadcasting | classic rock row 25 : kubc | 580 am | montrose, colorado | cherry creek radio | news/talk | col : avg ( "call sign" ) row 1 : 0 | select avg ( call sign ) where licensee = 'charles d. hall' <table_name> : table \begin{tabular}{llllll}
\toprule
& call sign & frequency & city of license & licensee & format \\
\midrule
0 & kmsa & 91.3 fm & grand junction & colorado mesa university & aaa \\
1 & kmgj & 93.1 fm & grand junction & mbc grand broadcasting, inc & top 40 (chr)/contemporary hit radio \\
2 & kkvt & 100.7 fm & grand junction & mbc grand broadcasting, inc & country \\
3 & klfv & 90.3 fm & grand junction & educational media foundation & christian contemporary \\
4 & kmoz-fm & 92.3 fm & grand junction & mbc grand broadcasting, inc & adult hits \\
5 & kgjn-lp & 106.7 fm & grand junction & colorado, state of, telecom servs & news talk information \\
6 & kjol & 620 am & grand junction & united ministries & christian contemporary \\
7 & kcic & 88.5 fm & grand junction & pear park baptist schools & religious \\
8 & kbkl & 107.9 fm & grand junction & townsquare media group & oldies \\
9 & kafm & 88.1 fm & grand junction & grand valley public radio co, inc & variety \\
10 & kexo & 1230 am & grand junction & townsquare media group & regional mexican/talk \\
11 & knzz & 1100 am & grand junction & mbc grand broadcasting, inc & news/talk \\
12 & kmxy & 104.3 fm & grand junction & townsquare media group & hot adult contemporary \\
13 & kprn & 89.5 fm & grand junction & public broadcasting of colorado, inc & public/news/talk \\
14 & ktmm & 1340 am & grand junction & mbc grand broadcasting, inc & sports/talk \\
15 & kaai & 98.5 fm & palisade, colorado & educational media foundation & christian rock \\
16 & kmzk (fm) & 106.9 fm & clifton & charles d. hall & none \\
17 & kekb & 99.9 fm & fruita & townsquare media group & country \\
18 & krzx & 106.1 fm & redlands & cochise media licenses llc & none \\
19 & kzks & 105.3 fm & rifle, colorado & western slope communications & classic hits \\
20 & knoz & 97.7 fm & orchard mesa & paul varecha & all-news radio \\
21 & ktun & 93.5 fm & new castle, colorado & wildcat communications & spanish hits \\
22 & kknn & 95.1 fm & delta, colorado & townsquare media group & active rock \\
23 & kstr-fm & 96.1 fm & montrose, colorado & mbc grand broadcasting & classic rock \\
24 & kubc & 580 am & montrose, colorado & cherry creek radio & news/talk \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& avg ( "call sign" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select avg ( call sign ) where licensee = 'charles d. hall' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>call sign</th>
<th>frequency</th>
<th>city of license</th>
<th>licensee</th>
<th>format</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>kmsa</td>
<td>91.3 fm</td>
<td>grand junction</td>
<td>colorado mesa university</td>
<td>aaa</td>
</tr>
<tr>
<th>1</th>
<td>kmgj</td>
<td>93.1 fm</td>
<td>grand junction</td>
<td>mbc grand broadcasting, inc</td>
<td>top 40 (chr)/contemporary hit radio</td>
</tr>
<tr>
<th>2</th>
<td>kkvt</td>
<td>100.7 fm</td>
<td>grand junction</td>
<td>mbc grand broadcasting, inc</td>
<td>country</td>
</tr>
<tr>
<th>3</th>
<td>klfv</td>
<td>90.3 fm</td>
<td>grand junction</td>
<td>educational media foundation</td>
<td>christian contemporary</td>
</tr>
<tr>
<th>4</th>
<td>kmoz-fm</td>
<td>92.3 fm</td>
<td>grand junction</td>
<td>mbc grand broadcasting, inc</td>
<td>adult hits</td>
</tr>
<tr>
<th>5</th>
<td>kgjn-lp</td>
<td>106.7 fm</td>
<td>grand junction</td>
<td>colorado, state of, telecom servs</td>
<td>news talk information</td>
</tr>
<tr>
<th>6</th>
<td>kjol</td>
<td>620 am</td>
<td>grand junction</td>
<td>united ministries</td>
<td>christian contemporary</td>
</tr>
<tr>
<th>7</th>
<td>kcic</td>
<td>88.5 fm</td>
<td>grand junction</td>
<td>pear park baptist schools</td>
<td>religious</td>
</tr>
<tr>
<th>8</th>
<td>kbkl</td>
<td>107.9 fm</td>
<td>grand junction</td>
<td>townsquare media group</td>
<td>oldies</td>
</tr>
<tr>
<th>9</th>
<td>kafm</td>
<td>88.1 fm</td>
<td>grand junction</td>
<td>grand valley public radio co, inc</td>
<td>variety</td>
</tr>
<tr>
<th>10</th>
<td>kexo</td>
<td>1230 am</td>
<td>grand junction</td>
<td>townsquare media group</td>
<td>regional mexican/talk</td>
</tr>
<tr>
<th>11</th>
<td>knzz</td>
<td>1100 am</td>
<td>grand junction</td>
<td>mbc grand broadcasting, inc</td>
<td>news/talk</td>
</tr>
<tr>
<th>12</th>
<td>kmxy</td>
<td>104.3 fm</td>
<td>grand junction</td>
<td>townsquare media group</td>
<td>hot adult contemporary</td>
</tr>
<tr>
<th>13</th>
<td>kprn</td>
<td>89.5 fm</td>
<td>grand junction</td>
<td>public broadcasting of colorado, inc</td>
<td>public/news/talk</td>
</tr>
<tr>
<th>14</th>
<td>ktmm</td>
<td>1340 am</td>
<td>grand junction</td>
<td>mbc grand broadcasting, inc</td>
<td>sports/talk</td>
</tr>
<tr>
<th>15</th>
<td>kaai</td>
<td>98.5 fm</td>
<td>palisade, colorado</td>
<td>educational media foundation</td>
<td>christian rock</td>
</tr>
<tr>
<th>16</th>
<td>kmzk (fm)</td>
<td>106.9 fm</td>
<td>clifton</td>
<td>charles d. hall</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>kekb</td>
<td>99.9 fm</td>
<td>fruita</td>
<td>townsquare media group</td>
<td>country</td>
</tr>
<tr>
<th>18</th>
<td>krzx</td>
<td>106.1 fm</td>
<td>redlands</td>
<td>cochise media licenses llc</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>kzks</td>
<td>105.3 fm</td>
<td>rifle, colorado</td>
<td>western slope communications</td>
<td>classic hits</td>
</tr>
<tr>
<th>20</th>
<td>knoz</td>
<td>97.7 fm</td>
<td>orchard mesa</td>
<td>paul varecha</td>
<td>all-news radio</td>
</tr>
<tr>
<th>21</th>
<td>ktun</td>
<td>93.5 fm</td>
<td>new castle, colorado</td>
<td>wildcat communications</td>
<td>spanish hits</td>
</tr>
<tr>
<th>22</th>
<td>kknn</td>
<td>95.1 fm</td>
<td>delta, colorado</td>
<td>townsquare media group</td>
<td>active rock</td>
</tr>
<tr>
<th>23</th>
<td>kstr-fm</td>
<td>96.1 fm</td>
<td>montrose, colorado</td>
<td>mbc grand broadcasting</td>
<td>classic rock</td>
</tr>
<tr>
<th>24</th>
<td>kubc</td>
<td>580 am</td>
<td>montrose, colorado</td>
<td>cherry creek radio</td>
<td>news/talk</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>avg ( "call sign" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select avg ( call sign ) where licensee = 'charles d. hall' <table_name> : table | | call sign | frequency | city of license | licensee | format |
|---:|:------------|:------------|:---------------------|:-------------------------------------|:------------------------------------|
| 0 | kmsa | 91.3 fm | grand junction | colorado mesa university | aaa |
| 1 | kmgj | 93.1 fm | grand junction | mbc grand broadcasting, inc | top 40 (chr)/contemporary hit radio |
| 2 | kkvt | 100.7 fm | grand junction | mbc grand broadcasting, inc | country |
| 3 | klfv | 90.3 fm | grand junction | educational media foundation | christian contemporary |
| 4 | kmoz-fm | 92.3 fm | grand junction | mbc grand broadcasting, inc | adult hits |
| 5 | kgjn-lp | 106.7 fm | grand junction | colorado, state of, telecom servs | news talk information |
| 6 | kjol | 620 am | grand junction | united ministries | christian contemporary |
| 7 | kcic | 88.5 fm | grand junction | pear park baptist schools | religious |
| 8 | kbkl | 107.9 fm | grand junction | townsquare media group | oldies |
| 9 | kafm | 88.1 fm | grand junction | grand valley public radio co, inc | variety |
| 10 | kexo | 1230 am | grand junction | townsquare media group | regional mexican/talk |
| 11 | knzz | 1100 am | grand junction | mbc grand broadcasting, inc | news/talk |
| 12 | kmxy | 104.3 fm | grand junction | townsquare media group | hot adult contemporary |
| 13 | kprn | 89.5 fm | grand junction | public broadcasting of colorado, inc | public/news/talk |
| 14 | ktmm | 1340 am | grand junction | mbc grand broadcasting, inc | sports/talk |
| 15 | kaai | 98.5 fm | palisade, colorado | educational media foundation | christian rock |
| 16 | kmzk (fm) | 106.9 fm | clifton | charles d. hall | none |
| 17 | kekb | 99.9 fm | fruita | townsquare media group | country |
| 18 | krzx | 106.1 fm | redlands | cochise media licenses llc | none |
| 19 | kzks | 105.3 fm | rifle, colorado | western slope communications | classic hits |
| 20 | knoz | 97.7 fm | orchard mesa | paul varecha | all-news radio |
| 21 | ktun | 93.5 fm | new castle, colorado | wildcat communications | spanish hits |
| 22 | kknn | 95.1 fm | delta, colorado | townsquare media group | active rock |
| 23 | kstr-fm | 96.1 fm | montrose, colorado | mbc grand broadcasting | classic rock |
| 24 | kubc | 580 am | montrose, colorado | cherry creek radio | news/talk | | | | avg ( "call sign" ) |
|---:|----------------------:|
| 0 | 0 | | [
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select sum ( car # ) where driver = 'scott wimmer' 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 : sum ( "car #" ) row 1 : 29 | select sum ( car # ) where driver = 'scott wimmer' <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
& sum ( "car #" ) \\
\midrule
0 & 29 \\
\bottomrule
\end{tabular}
| select sum ( car # ) where driver = 'scott wimmer' <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>sum ( "car #" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>29</td>
</tr>
</tbody>
</table> | select sum ( car # ) where driver = 'scott wimmer' <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 | | | | sum ( "car #" ) |
|---:|------------------:|
| 0 | 29 | | [
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select count ( title ) where # = 2 col : # | title | producer(s) | performer(s) | length row 1 : 1 | "ova here" | da beatminerz | krs-one | 2:56 row 2 : 2 | "things is about to change" | creative minds combined | krs-one | 2:34 row 3 : 3 | "splash" | a-sharp, pleasure king | krs-one | 2:24 row 4 : 4 | "my people" | alumni | krs-one | 0:19 row 5 : 5 | "kreditz" | milann miles, rick long | krs-one | 2:02 row 6 : 6 | "i remember" | j-roc, mad lion | krs-one | 4:03 row 7 : 7 | "down the charts" | milann miles, rick long | krs-one | 2:10 row 8 : 8 | "you really don't want it" | jim bean | none | 3:29 row 9 : 9 | "womanology" | soul supreme | krs-one | 3:54 row 10 : 10 | "2nd kreditz" | none | krs-one | 0:46 row 11 : 11 | "stop it" | krs-one, mad lion | none | 1:38 row 12 : 12 | "problemz" | vanguard | krs-one | 3:15 row 13 : 13 | "believe it!" | soul supreme | krs-one | 3:59 | col : count ( "title" ) row 1 : 1 | select count ( title ) where # = 2 <table_name> : table \begin{tabular}{llllll}
\toprule
& # & title & producer(s) & performer(s) & length \\
\midrule
0 & 1 & "ova here" & da beatminerz & krs-one & 2:56 \\
1 & 2 & "things is about to change" & creative minds combined & krs-one & 2:34 \\
2 & 3 & "splash" & a-sharp, pleasure king & krs-one & 2:24 \\
3 & 4 & "my people" & alumni & krs-one & 0:19 \\
4 & 5 & "kreditz" & milann miles, rick long & krs-one & 2:02 \\
5 & 6 & "i remember" & j-roc, mad lion & krs-one & 4:03 \\
6 & 7 & "down the charts" & milann miles, rick long & krs-one & 2:10 \\
7 & 8 & "you really don't want it" & jim bean & none & 3:29 \\
8 & 9 & "womanology" & soul supreme & krs-one & 3:54 \\
9 & 10 & "2nd kreditz" & none & krs-one & 0:46 \\
10 & 11 & "stop it" & krs-one, mad lion & none & 1:38 \\
11 & 12 & "problemz" & vanguard & krs-one & 3:15 \\
12 & 13 & "believe it!" & soul supreme & krs-one & 3:59 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "title" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( title ) where # = 2 <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>length</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>"ova here"</td>
<td>da beatminerz</td>
<td>krs-one</td>
<td>2:56</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>"things is about to change"</td>
<td>creative minds combined</td>
<td>krs-one</td>
<td>2:34</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>"splash"</td>
<td>a-sharp, pleasure king</td>
<td>krs-one</td>
<td>2:24</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>"my people"</td>
<td>alumni</td>
<td>krs-one</td>
<td>0:19</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>"kreditz"</td>
<td>milann miles, rick long</td>
<td>krs-one</td>
<td>2:02</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>"i remember"</td>
<td>j-roc, mad lion</td>
<td>krs-one</td>
<td>4:03</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>"down the charts"</td>
<td>milann miles, rick long</td>
<td>krs-one</td>
<td>2:10</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>"you really don't want it"</td>
<td>jim bean</td>
<td>none</td>
<td>3:29</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>"womanology"</td>
<td>soul supreme</td>
<td>krs-one</td>
<td>3:54</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>"2nd kreditz"</td>
<td>none</td>
<td>krs-one</td>
<td>0:46</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>"stop it"</td>
<td>krs-one, mad lion</td>
<td>none</td>
<td>1:38</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>"problemz"</td>
<td>vanguard</td>
<td>krs-one</td>
<td>3:15</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>"believe it!"</td>
<td>soul supreme</td>
<td>krs-one</td>
<td>3:59</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "title" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( title ) where # = 2 <table_name> : table | | # | title | producer(s) | performer(s) | length |
|---:|----:|:----------------------------|:------------------------|:---------------|:---------|
| 0 | 1 | "ova here" | da beatminerz | krs-one | 2:56 |
| 1 | 2 | "things is about to change" | creative minds combined | krs-one | 2:34 |
| 2 | 3 | "splash" | a-sharp, pleasure king | krs-one | 2:24 |
| 3 | 4 | "my people" | alumni | krs-one | 0:19 |
| 4 | 5 | "kreditz" | milann miles, rick long | krs-one | 2:02 |
| 5 | 6 | "i remember" | j-roc, mad lion | krs-one | 4:03 |
| 6 | 7 | "down the charts" | milann miles, rick long | krs-one | 2:10 |
| 7 | 8 | "you really don't want it" | jim bean | none | 3:29 |
| 8 | 9 | "womanology" | soul supreme | krs-one | 3:54 |
| 9 | 10 | "2nd kreditz" | none | krs-one | 0:46 |
| 10 | 11 | "stop it" | krs-one, mad lion | none | 1:38 |
| 11 | 12 | "problemz" | vanguard | krs-one | 3:15 |
| 12 | 13 | "believe it!" | soul supreme | krs-one | 3:59 | | | | count ( "title" ) |
|---:|--------------------:|
| 0 | 1 | | [
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select no. where opponent = 'barbara luz' col : outcome | no. | date | tournament | surface | opponent | score row 1 : runner-up | 1 | 2011-08-01 00:00:00 | sao paulo, brazil | clay | maria fernanda alves | 6-4, 5-7, 3-6 row 2 : winner | 1 | 2011-10-24 00:00:00 | goiania, brazil | clay | barbara luz | 6-2, 6-0 row 3 : winner | 2 | 2012-04-02 00:00:00 | ribeirao preto, brazil | hard | natasha fourouclas | 6-0, 6-1 row 4 : winner | 3 | 2013-03-25 00:00:00 | ribeirao preto, brazil | clay | andrea benitez | 7-6(7-2), 6-2 row 5 : winner | 4 | 2013-04-15 00:00:00 | antalya 15, turkey | hard | tereza martincova | 6-4, 6-3 row 6 : runner-up | 2 | 2013-05-20 00:00:00 | caserta, italy | clay | renata voracova | 4-6, 1-6 row 7 : runner-up | 3 | 2013-06-17 00:00:00 | lenzerheide, switzerland | clay | laura siegemund | 2-6, 3-6 | col : no. row 1 : 1 | select no. where opponent = 'barbara luz' <table_name> : table \begin{tabular}{llllllll}
\toprule
& outcome & no. & date & tournament & surface & opponent & score \\
\midrule
0 & runner-up & 1 & 2011-08-01 00:00:00 & sao paulo, brazil & clay & maria fernanda alves & 6-4, 5-7, 3-6 \\
1 & winner & 1 & 2011-10-24 00:00:00 & goiania, brazil & clay & barbara luz & 6-2, 6-0 \\
2 & winner & 2 & 2012-04-02 00:00:00 & ribeirao preto, brazil & hard & natasha fourouclas & 6-0, 6-1 \\
3 & winner & 3 & 2013-03-25 00:00:00 & ribeirao preto, brazil & clay & andrea benitez & 7-6(7-2), 6-2 \\
4 & winner & 4 & 2013-04-15 00:00:00 & antalya 15, turkey & hard & tereza martincova & 6-4, 6-3 \\
5 & runner-up & 2 & 2013-05-20 00:00:00 & caserta, italy & clay & renata voracova & 4-6, 1-6 \\
6 & runner-up & 3 & 2013-06-17 00:00:00 & lenzerheide, switzerland & clay & laura siegemund & 2-6, 3-6 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& no. \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select no. where opponent = 'barbara luz' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>outcome</th>
<th>no.</th>
<th>date</th>
<th>tournament</th>
<th>surface</th>
<th>opponent</th>
<th>score</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>runner-up</td>
<td>1</td>
<td>2011-08-01 00:00:00</td>
<td>sao paulo, brazil</td>
<td>clay</td>
<td>maria fernanda alves</td>
<td>6-4, 5-7, 3-6</td>
</tr>
<tr>
<th>1</th>
<td>winner</td>
<td>1</td>
<td>2011-10-24 00:00:00</td>
<td>goiania, brazil</td>
<td>clay</td>
<td>barbara luz</td>
<td>6-2, 6-0</td>
</tr>
<tr>
<th>2</th>
<td>winner</td>
<td>2</td>
<td>2012-04-02 00:00:00</td>
<td>ribeirao preto, brazil</td>
<td>hard</td>
<td>natasha fourouclas</td>
<td>6-0, 6-1</td>
</tr>
<tr>
<th>3</th>
<td>winner</td>
<td>3</td>
<td>2013-03-25 00:00:00</td>
<td>ribeirao preto, brazil</td>
<td>clay</td>
<td>andrea benitez</td>
<td>7-6(7-2), 6-2</td>
</tr>
<tr>
<th>4</th>
<td>winner</td>
<td>4</td>
<td>2013-04-15 00:00:00</td>
<td>antalya 15, turkey</td>
<td>hard</td>
<td>tereza martincova</td>
<td>6-4, 6-3</td>
</tr>
<tr>
<th>5</th>
<td>runner-up</td>
<td>2</td>
<td>2013-05-20 00:00:00</td>
<td>caserta, italy</td>
<td>clay</td>
<td>renata voracova</td>
<td>4-6, 1-6</td>
</tr>
<tr>
<th>6</th>
<td>runner-up</td>
<td>3</td>
<td>2013-06-17 00:00:00</td>
<td>lenzerheide, switzerland</td>
<td>clay</td>
<td>laura siegemund</td>
<td>2-6, 3-6</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>1</td>
</tr>
</tbody>
</table> | select no. where opponent = 'barbara luz' <table_name> : table | | outcome | no. | date | tournament | surface | opponent | score |
|---:|:----------|------:|:--------------------|:-------------------------|:----------|:---------------------|:--------------|
| 0 | runner-up | 1 | 2011-08-01 00:00:00 | sao paulo, brazil | clay | maria fernanda alves | 6-4, 5-7, 3-6 |
| 1 | winner | 1 | 2011-10-24 00:00:00 | goiania, brazil | clay | barbara luz | 6-2, 6-0 |
| 2 | winner | 2 | 2012-04-02 00:00:00 | ribeirao preto, brazil | hard | natasha fourouclas | 6-0, 6-1 |
| 3 | winner | 3 | 2013-03-25 00:00:00 | ribeirao preto, brazil | clay | andrea benitez | 7-6(7-2), 6-2 |
| 4 | winner | 4 | 2013-04-15 00:00:00 | antalya 15, turkey | hard | tereza martincova | 6-4, 6-3 |
| 5 | runner-up | 2 | 2013-05-20 00:00:00 | caserta, italy | clay | renata voracova | 4-6, 1-6 |
| 6 | runner-up | 3 | 2013-06-17 00:00:00 | lenzerheide, switzerland | clay | laura siegemund | 2-6, 3-6 | | | | no. |
|---:|------:|
| 0 | 1 | | [
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] |
select clerk where clerk = 'd. lawrence gunnels' col : clerk | started | finished | school (year) | previous clerkship row 1 : kenneth w. dam | 1957 | 1958 | chicago (1957) | none row 2 : alan c. kohn | 1957 | 1958 | wash u (1955) | none row 3 : william c. canby, jr | 1958 | 1959 | minnesota (1956) | none row 4 : heywood h. davis | 1958 | 1959 | kansas (1958) | none row 5 : jerome b. libin | 1959 | 1960 | michigan (1959) | none row 6 : patrick f. mccartan | 1959 | 1960 | notre dame (1959) | none row 7 : d. lawrence gunnels | 1961 | 1962 | wash u (1960) | none | col : clerk row 1 : d. lawrence gunnels | select clerk where clerk = 'd. lawrence gunnels' <table_name> : table \begin{tabular}{llllll}
\toprule
& clerk & started & finished & school (year) & previous clerkship \\
\midrule
0 & kenneth w. dam & 1957 & 1958 & chicago (1957) & none \\
1 & alan c. kohn & 1957 & 1958 & wash u (1955) & none \\
2 & william c. canby, jr & 1958 & 1959 & minnesota (1956) & none \\
3 & heywood h. davis & 1958 & 1959 & kansas (1958) & none \\
4 & jerome b. libin & 1959 & 1960 & michigan (1959) & none \\
5 & patrick f. mccartan & 1959 & 1960 & notre dame (1959) & none \\
6 & d. lawrence gunnels & 1961 & 1962 & wash u (1960) & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& clerk \\
\midrule
0 & d. lawrence gunnels \\
\bottomrule
\end{tabular}
| select clerk where clerk = 'd. lawrence gunnels' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>clerk</th>
<th>started</th>
<th>finished</th>
<th>school (year)</th>
<th>previous clerkship</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>kenneth w. dam</td>
<td>1957</td>
<td>1958</td>
<td>chicago (1957)</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>alan c. kohn</td>
<td>1957</td>
<td>1958</td>
<td>wash u (1955)</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>william c. canby, jr</td>
<td>1958</td>
<td>1959</td>
<td>minnesota (1956)</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>heywood h. davis</td>
<td>1958</td>
<td>1959</td>
<td>kansas (1958)</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>jerome b. libin</td>
<td>1959</td>
<td>1960</td>
<td>michigan (1959)</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>patrick f. mccartan</td>
<td>1959</td>
<td>1960</td>
<td>notre dame (1959)</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>d. lawrence gunnels</td>
<td>1961</td>
<td>1962</td>
<td>wash u (1960)</td>
<td>none</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>clerk</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>d. lawrence gunnels</td>
</tr>
</tbody>
</table> | select clerk where clerk = 'd. lawrence gunnels' <table_name> : table | | clerk | started | finished | school (year) | previous clerkship |
|---:|:---------------------|----------:|-----------:|:------------------|:---------------------|
| 0 | kenneth w. dam | 1957 | 1958 | chicago (1957) | none |
| 1 | alan c. kohn | 1957 | 1958 | wash u (1955) | none |
| 2 | william c. canby, jr | 1958 | 1959 | minnesota (1956) | none |
| 3 | heywood h. davis | 1958 | 1959 | kansas (1958) | none |
| 4 | jerome b. libin | 1959 | 1960 | michigan (1959) | none |
| 5 | patrick f. mccartan | 1959 | 1960 | notre dame (1959) | none |
| 6 | d. lawrence gunnels | 1961 | 1962 | wash u (1960) | none | | | | clerk |
|---:|:--------------------|
| 0 | d. lawrence gunnels | | [
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] |
select f/laps where f/laps = 0 col : season | series | team | races | wins | poles | f/laps | podiums | points | position row 1 : 2007 | asian formula renault challenge | champ motorsports | 12 | 0 | 0 | 0 | 1 | 64 | 14th row 2 : 2008 | asian formula renault challenge | champ motorsports | 13 | 0 | 0 | 0 | 3 | 193 | 4th row 3 : 2009 | asian formula renault challenge | asia racing team | 12 | 6 | 2 | 4 | 7 | 287 | 2nd row 4 : 2009 | formula renault 2.0 northern european cup | krenek motorsport | 14 | 0 | 0 | 0 | 0 | 44 | 21st row 5 : 2010 | ats formel 3 cup | china sonangol | 5 | 0 | 0 | 0 | 0 | 0 | 19th row 6 : 2010 | austria formula 3 cup | sonangol motopark | 4 | 1 | 2 | 3 | 2 | 35 | 9th row 7 : 2011 | formula pilota china | asia racing team | 12 | 2 | 0 | 0 | 3 | 124 | 2nd row 8 : 2012 | formula 3 euro series | angola racing team | 21 | 0 | 0 | 0 | 0 | 14 | 14th row 9 : 2012 | 59th macau grand prix formula 3 | angola racing team | 2 | 0 | 0 | 0 | 0 | none | 23rd row 10 : 2012 | masters of formula 3 | angola racing team | 1 | 0 | 0 | 0 | 0 | none | 18th row 11 : 2012 | british formula 3 championship | angola racing team | 5 | 0 | 0 | 0 | 0 | none | none row 12 : 2013 | gp3 series | carlin | 16 | 0 | 0 | 0 | 0 | 0 | 23rd | col : f/laps row 1 : 0 row 2 : 0 row 3 : 0 row 4 : 0 row 5 : 0 row 6 : 0 row 7 : 0 row 8 : 0 row 9 : 0 row 10 : 0 | select f/laps where f/laps = 0 <table_name> : table \begin{tabular}{lllllllllll}
\toprule
& season & series & team & races & wins & poles & f/laps & podiums & points & position \\
\midrule
0 & 2007 & asian formula renault challenge & champ motorsports & 12 & 0 & 0 & 0 & 1 & 64 & 14th \\
1 & 2008 & asian formula renault challenge & champ motorsports & 13 & 0 & 0 & 0 & 3 & 193 & 4th \\
2 & 2009 & asian formula renault challenge & asia racing team & 12 & 6 & 2 & 4 & 7 & 287 & 2nd \\
3 & 2009 & formula renault 2.0 northern european cup & krenek motorsport & 14 & 0 & 0 & 0 & 0 & 44 & 21st \\
4 & 2010 & ats formel 3 cup & china sonangol & 5 & 0 & 0 & 0 & 0 & 0 & 19th \\
5 & 2010 & austria formula 3 cup & sonangol motopark & 4 & 1 & 2 & 3 & 2 & 35 & 9th \\
6 & 2011 & formula pilota china & asia racing team & 12 & 2 & 0 & 0 & 3 & 124 & 2nd \\
7 & 2012 & formula 3 euro series & angola racing team & 21 & 0 & 0 & 0 & 0 & 14 & 14th \\
8 & 2012 & 59th macau grand prix formula 3 & angola racing team & 2 & 0 & 0 & 0 & 0 & none & 23rd \\
9 & 2012 & masters of formula 3 & angola racing team & 1 & 0 & 0 & 0 & 0 & none & 18th \\
10 & 2012 & british formula 3 championship & angola racing team & 5 & 0 & 0 & 0 & 0 & none & none \\
11 & 2013 & gp3 series & carlin & 16 & 0 & 0 & 0 & 0 & 0 & 23rd \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& f/laps \\
\midrule
0 & 0 \\
1 & 0 \\
2 & 0 \\
3 & 0 \\
4 & 0 \\
5 & 0 \\
6 & 0 \\
7 & 0 \\
8 & 0 \\
9 & 0 \\
\bottomrule
\end{tabular}
| select f/laps where f/laps = 0 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
<th>series</th>
<th>team</th>
<th>races</th>
<th>wins</th>
<th>poles</th>
<th>f/laps</th>
<th>podiums</th>
<th>points</th>
<th>position</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2007</td>
<td>asian formula renault challenge</td>
<td>champ motorsports</td>
<td>12</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>64</td>
<td>14th</td>
</tr>
<tr>
<th>1</th>
<td>2008</td>
<td>asian formula renault challenge</td>
<td>champ motorsports</td>
<td>13</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>3</td>
<td>193</td>
<td>4th</td>
</tr>
<tr>
<th>2</th>
<td>2009</td>
<td>asian formula renault challenge</td>
<td>asia racing team</td>
<td>12</td>
<td>6</td>
<td>2</td>
<td>4</td>
<td>7</td>
<td>287</td>
<td>2nd</td>
</tr>
<tr>
<th>3</th>
<td>2009</td>
<td>formula renault 2.0 northern european cup</td>
<td>krenek motorsport</td>
<td>14</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>44</td>
<td>21st</td>
</tr>
<tr>
<th>4</th>
<td>2010</td>
<td>ats formel 3 cup</td>
<td>china sonangol</td>
<td>5</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>19th</td>
</tr>
<tr>
<th>5</th>
<td>2010</td>
<td>austria formula 3 cup</td>
<td>sonangol motopark</td>
<td>4</td>
<td>1</td>
<td>2</td>
<td>3</td>
<td>2</td>
<td>35</td>
<td>9th</td>
</tr>
<tr>
<th>6</th>
<td>2011</td>
<td>formula pilota china</td>
<td>asia racing team</td>
<td>12</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>3</td>
<td>124</td>
<td>2nd</td>
</tr>
<tr>
<th>7</th>
<td>2012</td>
<td>formula 3 euro series</td>
<td>angola racing team</td>
<td>21</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>14</td>
<td>14th</td>
</tr>
<tr>
<th>8</th>
<td>2012</td>
<td>59th macau grand prix formula 3</td>
<td>angola racing team</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>none</td>
<td>23rd</td>
</tr>
<tr>
<th>9</th>
<td>2012</td>
<td>masters of formula 3</td>
<td>angola racing team</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>none</td>
<td>18th</td>
</tr>
<tr>
<th>10</th>
<td>2012</td>
<td>british formula 3 championship</td>
<td>angola racing team</td>
<td>5</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>2013</td>
<td>gp3 series</td>
<td>carlin</td>
<td>16</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>23rd</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>f/laps</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
<tr>
<th>1</th>
<td>0</td>
</tr>
<tr>
<th>2</th>
<td>0</td>
</tr>
<tr>
<th>3</th>
<td>0</td>
</tr>
<tr>
<th>4</th>
<td>0</td>
</tr>
<tr>
<th>5</th>
<td>0</td>
</tr>
<tr>
<th>6</th>
<td>0</td>
</tr>
<tr>
<th>7</th>
<td>0</td>
</tr>
<tr>
<th>8</th>
<td>0</td>
</tr>
<tr>
<th>9</th>
<td>0</td>
</tr>
</tbody>
</table> | select f/laps where f/laps = 0 <table_name> : table | | season | series | team | races | wins | poles | f/laps | podiums | points | position |
|---:|---------:|:------------------------------------------|:-------------------|--------:|-------:|--------:|---------:|----------:|:---------|:-----------|
| 0 | 2007 | asian formula renault challenge | champ motorsports | 12 | 0 | 0 | 0 | 1 | 64 | 14th |
| 1 | 2008 | asian formula renault challenge | champ motorsports | 13 | 0 | 0 | 0 | 3 | 193 | 4th |
| 2 | 2009 | asian formula renault challenge | asia racing team | 12 | 6 | 2 | 4 | 7 | 287 | 2nd |
| 3 | 2009 | formula renault 2.0 northern european cup | krenek motorsport | 14 | 0 | 0 | 0 | 0 | 44 | 21st |
| 4 | 2010 | ats formel 3 cup | china sonangol | 5 | 0 | 0 | 0 | 0 | 0 | 19th |
| 5 | 2010 | austria formula 3 cup | sonangol motopark | 4 | 1 | 2 | 3 | 2 | 35 | 9th |
| 6 | 2011 | formula pilota china | asia racing team | 12 | 2 | 0 | 0 | 3 | 124 | 2nd |
| 7 | 2012 | formula 3 euro series | angola racing team | 21 | 0 | 0 | 0 | 0 | 14 | 14th |
| 8 | 2012 | 59th macau grand prix formula 3 | angola racing team | 2 | 0 | 0 | 0 | 0 | none | 23rd |
| 9 | 2012 | masters of formula 3 | angola racing team | 1 | 0 | 0 | 0 | 0 | none | 18th |
| 10 | 2012 | british formula 3 championship | angola racing team | 5 | 0 | 0 | 0 | 0 | none | none |
| 11 | 2013 | gp3 series | carlin | 16 | 0 | 0 | 0 | 0 | 0 | 23rd | | | | f/laps |
|---:|---------:|
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| 1 | 0 |
| 2 | 0 |
| 3 | 0 |
| 4 | 0 |
| 5 | 0 |
| 6 | 0 |
| 7 | 0 |
| 8 | 0 |
| 9 | 0 | | [
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select team where team = 'gb' group by team order by count ( * ) desc limit 1 col : year | team | games | carries | yards | yards per carry | longest carry | touchdowns | first downs | fumbles | fumbles lost row 1 : 2002 | gb | 8 | 39 | 184 | 4.7 | 43 | 1 | 8 | 1 | 1 row 2 : 2003 | gb | 15 | 77 | 420 | 5.5 | 76 | 2 | 18 | 4 | 1 row 3 : 2004 | gb | 11 | 71 | 359 | 5.1 | 40 | 2 | 16 | 0 | 0 row 4 : 2005 | gb | 5 | 30 | 105 | 3.5 | 24 | 2 | 9 | 1 | 0 row 5 : 2006 | pit | 13 | 60 | 221 | 3.7 | 48 | 1 | 9 | 1 | 0 row 6 : 2007 | pit | 15 | 107 | 499 | 4.7 | 45 | 5 | 37 | 1 | 0 row 7 : 2008 | pit | 4 | 2 | 5 | 2.5 | 3 | 0 | 2 | 0 | 0 row 8 : 2008 | ind | 2 | 8 | 26 | 3.3 | 8 | 0 | 1 | 0 | 0 row 9 : career | none | 73 | 394 | 1819 | 4.6 | 76 | 13 | 100 | 8 | 2 | col : team row 1 : gb | select team where team = 'gb' group by team order by count ( * ) desc limit 1 <table_name> : table \begin{tabular}{llllllllllll}
\toprule
& year & team & games & carries & yards & yards per carry & longest carry & touchdowns & first downs & fumbles & fumbles lost \\
\midrule
0 & 2002 & gb & 8 & 39 & 184 & 4.7 & 43 & 1 & 8 & 1 & 1 \\
1 & 2003 & gb & 15 & 77 & 420 & 5.5 & 76 & 2 & 18 & 4 & 1 \\
2 & 2004 & gb & 11 & 71 & 359 & 5.1 & 40 & 2 & 16 & 0 & 0 \\
3 & 2005 & gb & 5 & 30 & 105 & 3.5 & 24 & 2 & 9 & 1 & 0 \\
4 & 2006 & pit & 13 & 60 & 221 & 3.7 & 48 & 1 & 9 & 1 & 0 \\
5 & 2007 & pit & 15 & 107 & 499 & 4.7 & 45 & 5 & 37 & 1 & 0 \\
6 & 2008 & pit & 4 & 2 & 5 & 2.5 & 3 & 0 & 2 & 0 & 0 \\
7 & 2008 & ind & 2 & 8 & 26 & 3.3 & 8 & 0 & 1 & 0 & 0 \\
8 & career & none & 73 & 394 & 1819 & 4.6 & 76 & 13 & 100 & 8 & 2 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& team \\
\midrule
0 & gb \\
\bottomrule
\end{tabular}
| select team where team = 'gb' group by team order by count ( * ) desc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>team</th>
<th>games</th>
<th>carries</th>
<th>yards</th>
<th>yards per carry</th>
<th>longest carry</th>
<th>touchdowns</th>
<th>first downs</th>
<th>fumbles</th>
<th>fumbles lost</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2002</td>
<td>gb</td>
<td>8</td>
<td>39</td>
<td>184</td>
<td>4.7</td>
<td>43</td>
<td>1</td>
<td>8</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>1</th>
<td>2003</td>
<td>gb</td>
<td>15</td>
<td>77</td>
<td>420</td>
<td>5.5</td>
<td>76</td>
<td>2</td>
<td>18</td>
<td>4</td>
<td>1</td>
</tr>
<tr>
<th>2</th>
<td>2004</td>
<td>gb</td>
<td>11</td>
<td>71</td>
<td>359</td>
<td>5.1</td>
<td>40</td>
<td>2</td>
<td>16</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>3</th>
<td>2005</td>
<td>gb</td>
<td>5</td>
<td>30</td>
<td>105</td>
<td>3.5</td>
<td>24</td>
<td>2</td>
<td>9</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>4</th>
<td>2006</td>
<td>pit</td>
<td>13</td>
<td>60</td>
<td>221</td>
<td>3.7</td>
<td>48</td>
<td>1</td>
<td>9</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>5</th>
<td>2007</td>
<td>pit</td>
<td>15</td>
<td>107</td>
<td>499</td>
<td>4.7</td>
<td>45</td>
<td>5</td>
<td>37</td>
<td>1</td>
<td>0</td>
</tr>
<tr>
<th>6</th>
<td>2008</td>
<td>pit</td>
<td>4</td>
<td>2</td>
<td>5</td>
<td>2.5</td>
<td>3</td>
<td>0</td>
<td>2</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>7</th>
<td>2008</td>
<td>ind</td>
<td>2</td>
<td>8</td>
<td>26</td>
<td>3.3</td>
<td>8</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>0</td>
</tr>
<tr>
<th>8</th>
<td>career</td>
<td>none</td>
<td>73</td>
<td>394</td>
<td>1819</td>
<td>4.6</td>
<td>76</td>
<td>13</td>
<td>100</td>
<td>8</td>
<td>2</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>team</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>gb</td>
</tr>
</tbody>
</table> | select team where team = 'gb' group by team order by count ( * ) desc limit 1 <table_name> : table | | year | team | games | carries | yards | yards per carry | longest carry | touchdowns | first downs | fumbles | fumbles lost |
|---:|:-------|:-------|--------:|----------:|--------:|------------------:|----------------:|-------------:|--------------:|----------:|---------------:|
| 0 | 2002 | gb | 8 | 39 | 184 | 4.7 | 43 | 1 | 8 | 1 | 1 |
| 1 | 2003 | gb | 15 | 77 | 420 | 5.5 | 76 | 2 | 18 | 4 | 1 |
| 2 | 2004 | gb | 11 | 71 | 359 | 5.1 | 40 | 2 | 16 | 0 | 0 |
| 3 | 2005 | gb | 5 | 30 | 105 | 3.5 | 24 | 2 | 9 | 1 | 0 |
| 4 | 2006 | pit | 13 | 60 | 221 | 3.7 | 48 | 1 | 9 | 1 | 0 |
| 5 | 2007 | pit | 15 | 107 | 499 | 4.7 | 45 | 5 | 37 | 1 | 0 |
| 6 | 2008 | pit | 4 | 2 | 5 | 2.5 | 3 | 0 | 2 | 0 | 0 |
| 7 | 2008 | ind | 2 | 8 | 26 | 3.3 | 8 | 0 | 1 | 0 | 0 |
| 8 | career | none | 73 | 394 | 1819 | 4.6 | 76 | 13 | 100 | 8 | 2 | | | | team |
|---:|:-------|
| 0 | gb | | [
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select count ( college/junior/club team ) where nhl team = 'quebec nordiques' and nationality = 'finland' col : pick # | player | position | nationality | nhl team | college/junior/club team row 1 : 148 | dan mcfall | defence | united states | winnipeg jets | buffalo jr. sabres (najhl) row 2 : 149 | rick zombo | defence | united states | detroit red wings | austin mavericks (ushl) row 3 : 150 | tony arima | left wing | finland | colorado rockies | jokerit (finland) row 4 : 151 | denis dore | right wing | canada | hartford whalers | chicoutimi sagueneens (qmjhl) row 5 : 152 | gaetan duchesne | left wing | canada | washington capitals | quebec remparts (qmjhl) row 6 : 153 | richard turmel | defence | canada | toronto maple leafs | shawinigan cataractes (qmjhl) row 7 : 154 | mitch lamoureux | centre | canada | pittsburgh penguins | oshawa generals (omjhl) row 8 : 155 | mike sturgeon | defence | canada | edmonton oilers | kelowna buckaroos (bcjhl) row 9 : 156 | ari lahteenmaki | right wing | finland | new york rangers | hifk (finland) row 10 : 157 | petri skriko | right wing | finland | vancouver canucks | saipa (finland) row 11 : 158 | andre cote | right wing | canada | quebec nordiques | quebec remparts (qmjhl) row 12 : 159 | johan mellstrom | left wing | sweden | chicago black hawks | falun (sweden) row 13 : 160 | kari kanervo | centre | finland | minnesota north stars | tps (finland) row 14 : 161 | armel parisee | defence | canada | boston bruins | chicoutimi sagueneens (qmjhl) row 15 : 162 | dale degray | defence | canada | calgary flames | oshawa generals (omjhl) row 16 : 163 | steve taylor | left wing | united states | philadelphia flyers | providence college (ecac) row 17 : 164 | gates orlando | centre | canada | buffalo sabres | providence college (ecac) row 18 : 165 | dan brennan | left wing | canada | los angeles kings | university of north dakota (wcha) row 19 : 166 | paul gess | left wing | united states | montreal canadiens | bloomington jefferson high school (ushs-mn) row 20 : 167 | alain vigneault | defence | canada | st. louis blues | trois-rivieres draveurs (qmjhl) row 21 : 168 | bill dowd | defence | canada | new york islanders | ottawa 67's (omjhl) | col : count ( "college/junior/club team" ) row 1 : 0 | select count ( college/junior/club team ) where nhl team = 'quebec nordiques' and nationality = 'finland' <table_name> : table \begin{tabular}{lllllll}
\toprule
& pick # & player & position & nationality & nhl team & college/junior/club team \\
\midrule
0 & 148 & dan mcfall & defence & united states & winnipeg jets & buffalo jr. sabres (najhl) \\
1 & 149 & rick zombo & defence & united states & detroit red wings & austin mavericks (ushl) \\
2 & 150 & tony arima & left wing & finland & colorado rockies & jokerit (finland) \\
3 & 151 & denis dore & right wing & canada & hartford whalers & chicoutimi sagueneens (qmjhl) \\
4 & 152 & gaetan duchesne & left wing & canada & washington capitals & quebec remparts (qmjhl) \\
5 & 153 & richard turmel & defence & canada & toronto maple leafs & shawinigan cataractes (qmjhl) \\
6 & 154 & mitch lamoureux & centre & canada & pittsburgh penguins & oshawa generals (omjhl) \\
7 & 155 & mike sturgeon & defence & canada & edmonton oilers & kelowna buckaroos (bcjhl) \\
8 & 156 & ari lahteenmaki & right wing & finland & new york rangers & hifk (finland) \\
9 & 157 & petri skriko & right wing & finland & vancouver canucks & saipa (finland) \\
10 & 158 & andre cote & right wing & canada & quebec nordiques & quebec remparts (qmjhl) \\
11 & 159 & johan mellstrom & left wing & sweden & chicago black hawks & falun (sweden) \\
12 & 160 & kari kanervo & centre & finland & minnesota north stars & tps (finland) \\
13 & 161 & armel parisee & defence & canada & boston bruins & chicoutimi sagueneens (qmjhl) \\
14 & 162 & dale degray & defence & canada & calgary flames & oshawa generals (omjhl) \\
15 & 163 & steve taylor & left wing & united states & philadelphia flyers & providence college (ecac) \\
16 & 164 & gates orlando & centre & canada & buffalo sabres & providence college (ecac) \\
17 & 165 & dan brennan & left wing & canada & los angeles kings & university of north dakota (wcha) \\
18 & 166 & paul gess & left wing & united states & montreal canadiens & bloomington jefferson high school (ushs-mn) \\
19 & 167 & alain vigneault & defence & canada & st. louis blues & trois-rivieres draveurs (qmjhl) \\
20 & 168 & bill dowd & defence & canada & new york islanders & ottawa 67's (omjhl) \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "college/junior/club team" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( college/junior/club team ) where nhl team = 'quebec nordiques' and nationality = 'finland' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pick #</th>
<th>player</th>
<th>position</th>
<th>nationality</th>
<th>nhl team</th>
<th>college/junior/club team</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>148</td>
<td>dan mcfall</td>
<td>defence</td>
<td>united states</td>
<td>winnipeg jets</td>
<td>buffalo jr. sabres (najhl)</td>
</tr>
<tr>
<th>1</th>
<td>149</td>
<td>rick zombo</td>
<td>defence</td>
<td>united states</td>
<td>detroit red wings</td>
<td>austin mavericks (ushl)</td>
</tr>
<tr>
<th>2</th>
<td>150</td>
<td>tony arima</td>
<td>left wing</td>
<td>finland</td>
<td>colorado rockies</td>
<td>jokerit (finland)</td>
</tr>
<tr>
<th>3</th>
<td>151</td>
<td>denis dore</td>
<td>right wing</td>
<td>canada</td>
<td>hartford whalers</td>
<td>chicoutimi sagueneens (qmjhl)</td>
</tr>
<tr>
<th>4</th>
<td>152</td>
<td>gaetan duchesne</td>
<td>left wing</td>
<td>canada</td>
<td>washington capitals</td>
<td>quebec remparts (qmjhl)</td>
</tr>
<tr>
<th>5</th>
<td>153</td>
<td>richard turmel</td>
<td>defence</td>
<td>canada</td>
<td>toronto maple leafs</td>
<td>shawinigan cataractes (qmjhl)</td>
</tr>
<tr>
<th>6</th>
<td>154</td>
<td>mitch lamoureux</td>
<td>centre</td>
<td>canada</td>
<td>pittsburgh penguins</td>
<td>oshawa generals (omjhl)</td>
</tr>
<tr>
<th>7</th>
<td>155</td>
<td>mike sturgeon</td>
<td>defence</td>
<td>canada</td>
<td>edmonton oilers</td>
<td>kelowna buckaroos (bcjhl)</td>
</tr>
<tr>
<th>8</th>
<td>156</td>
<td>ari lahteenmaki</td>
<td>right wing</td>
<td>finland</td>
<td>new york rangers</td>
<td>hifk (finland)</td>
</tr>
<tr>
<th>9</th>
<td>157</td>
<td>petri skriko</td>
<td>right wing</td>
<td>finland</td>
<td>vancouver canucks</td>
<td>saipa (finland)</td>
</tr>
<tr>
<th>10</th>
<td>158</td>
<td>andre cote</td>
<td>right wing</td>
<td>canada</td>
<td>quebec nordiques</td>
<td>quebec remparts (qmjhl)</td>
</tr>
<tr>
<th>11</th>
<td>159</td>
<td>johan mellstrom</td>
<td>left wing</td>
<td>sweden</td>
<td>chicago black hawks</td>
<td>falun (sweden)</td>
</tr>
<tr>
<th>12</th>
<td>160</td>
<td>kari kanervo</td>
<td>centre</td>
<td>finland</td>
<td>minnesota north stars</td>
<td>tps (finland)</td>
</tr>
<tr>
<th>13</th>
<td>161</td>
<td>armel parisee</td>
<td>defence</td>
<td>canada</td>
<td>boston bruins</td>
<td>chicoutimi sagueneens (qmjhl)</td>
</tr>
<tr>
<th>14</th>
<td>162</td>
<td>dale degray</td>
<td>defence</td>
<td>canada</td>
<td>calgary flames</td>
<td>oshawa generals (omjhl)</td>
</tr>
<tr>
<th>15</th>
<td>163</td>
<td>steve taylor</td>
<td>left wing</td>
<td>united states</td>
<td>philadelphia flyers</td>
<td>providence college (ecac)</td>
</tr>
<tr>
<th>16</th>
<td>164</td>
<td>gates orlando</td>
<td>centre</td>
<td>canada</td>
<td>buffalo sabres</td>
<td>providence college (ecac)</td>
</tr>
<tr>
<th>17</th>
<td>165</td>
<td>dan brennan</td>
<td>left wing</td>
<td>canada</td>
<td>los angeles kings</td>
<td>university of north dakota (wcha)</td>
</tr>
<tr>
<th>18</th>
<td>166</td>
<td>paul gess</td>
<td>left wing</td>
<td>united states</td>
<td>montreal canadiens</td>
<td>bloomington jefferson high school (ushs-mn)</td>
</tr>
<tr>
<th>19</th>
<td>167</td>
<td>alain vigneault</td>
<td>defence</td>
<td>canada</td>
<td>st. louis blues</td>
<td>trois-rivieres draveurs (qmjhl)</td>
</tr>
<tr>
<th>20</th>
<td>168</td>
<td>bill dowd</td>
<td>defence</td>
<td>canada</td>
<td>new york islanders</td>
<td>ottawa 67's (omjhl)</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "college/junior/club team" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select count ( college/junior/club team ) where nhl team = 'quebec nordiques' and nationality = 'finland' <table_name> : table | | pick # | player | position | nationality | nhl team | college/junior/club team |
|---:|---------:|:----------------|:-----------|:--------------|:----------------------|:--------------------------------------------|
| 0 | 148 | dan mcfall | defence | united states | winnipeg jets | buffalo jr. sabres (najhl) |
| 1 | 149 | rick zombo | defence | united states | detroit red wings | austin mavericks (ushl) |
| 2 | 150 | tony arima | left wing | finland | colorado rockies | jokerit (finland) |
| 3 | 151 | denis dore | right wing | canada | hartford whalers | chicoutimi sagueneens (qmjhl) |
| 4 | 152 | gaetan duchesne | left wing | canada | washington capitals | quebec remparts (qmjhl) |
| 5 | 153 | richard turmel | defence | canada | toronto maple leafs | shawinigan cataractes (qmjhl) |
| 6 | 154 | mitch lamoureux | centre | canada | pittsburgh penguins | oshawa generals (omjhl) |
| 7 | 155 | mike sturgeon | defence | canada | edmonton oilers | kelowna buckaroos (bcjhl) |
| 8 | 156 | ari lahteenmaki | right wing | finland | new york rangers | hifk (finland) |
| 9 | 157 | petri skriko | right wing | finland | vancouver canucks | saipa (finland) |
| 10 | 158 | andre cote | right wing | canada | quebec nordiques | quebec remparts (qmjhl) |
| 11 | 159 | johan mellstrom | left wing | sweden | chicago black hawks | falun (sweden) |
| 12 | 160 | kari kanervo | centre | finland | minnesota north stars | tps (finland) |
| 13 | 161 | armel parisee | defence | canada | boston bruins | chicoutimi sagueneens (qmjhl) |
| 14 | 162 | dale degray | defence | canada | calgary flames | oshawa generals (omjhl) |
| 15 | 163 | steve taylor | left wing | united states | philadelphia flyers | providence college (ecac) |
| 16 | 164 | gates orlando | centre | canada | buffalo sabres | providence college (ecac) |
| 17 | 165 | dan brennan | left wing | canada | los angeles kings | university of north dakota (wcha) |
| 18 | 166 | paul gess | left wing | united states | montreal canadiens | bloomington jefferson high school (ushs-mn) |
| 19 | 167 | alain vigneault | defence | canada | st. louis blues | trois-rivieres draveurs (qmjhl) |
| 20 | 168 | bill dowd | defence | canada | new york islanders | ottawa 67's (omjhl) | | | | count ( "college/junior/club team" ) |
|---:|---------------------------------------:|
| 0 | 0 | | [
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select week where date = 'july 16' col : week | date | opponent | score | result | record row 1 : 1 | july 9 | vs. saskatchewan roughriders | 31-21 | win | 1-0 row 2 : 2 | july 16 | at montreal concordes | 36-0 | win | 2-0 row 3 : 3 | july 24 | vs. hamilton tiger-cats | 36-25 | loss | 2-1 row 4 : 4 | aug 1 | at edmonton eskimos | 32-26 | win | 3-1 row 5 : 5 | aug 8 | vs. bc lions | 29-16 | win | 4-1 row 6 : 6 | aug 20 | at calgary stampeders | 35-4 | win | 5-1 row 7 : 7 | aug 28 | vs. ottawa rough riders | 27-20 | win | 6-1 row 8 : 8 | sept 5 | at saskatchewan roughriders | 36-35 | win | 7-1 row 9 : 9 | sept 11 | vs. calgary stampeders | 15-11 | loss | 7-2 row 10 : 10 | sept 18 | at ottawa rough riders | 38-28 | loss | 7-3 row 11 : 11 | sept 25 | vs. montreal concordes | 19-16 | win | 8-3 row 12 : 12 | oct 2 | at bc lions | 29-19 | win | 9-3 row 13 : 13 | oct 11 | vs. toronto argonauts | 39-35 | win | 10-3 row 14 : 14 | oct 17 | at toronto argonauts | 29-16 | win | 11-3 row 15 : 15 | oct 23 | vs. edmonton eskimos | 33-17 | loss | 11-4 row 16 : 16 | nov 7 | at hamilton tiger-cats | 24-21 | loss | 11-5 | col : week row 1 : 2 | select week where date = 'july 16' <table_name> : table \begin{tabular}{lllllll}
\toprule
& week & date & opponent & score & result & record \\
\midrule
0 & 1 & july 9 & vs. saskatchewan roughriders & 31-21 & win & 1-0 \\
1 & 2 & july 16 & at montreal concordes & 36-0 & win & 2-0 \\
2 & 3 & july 24 & vs. hamilton tiger-cats & 36-25 & loss & 2-1 \\
3 & 4 & aug 1 & at edmonton eskimos & 32-26 & win & 3-1 \\
4 & 5 & aug 8 & vs. bc lions & 29-16 & win & 4-1 \\
5 & 6 & aug 20 & at calgary stampeders & 35-4 & win & 5-1 \\
6 & 7 & aug 28 & vs. ottawa rough riders & 27-20 & win & 6-1 \\
7 & 8 & sept 5 & at saskatchewan roughriders & 36-35 & win & 7-1 \\
8 & 9 & sept 11 & vs. calgary stampeders & 15-11 & loss & 7-2 \\
9 & 10 & sept 18 & at ottawa rough riders & 38-28 & loss & 7-3 \\
10 & 11 & sept 25 & vs. montreal concordes & 19-16 & win & 8-3 \\
11 & 12 & oct 2 & at bc lions & 29-19 & win & 9-3 \\
12 & 13 & oct 11 & vs. toronto argonauts & 39-35 & win & 10-3 \\
13 & 14 & oct 17 & at toronto argonauts & 29-16 & win & 11-3 \\
14 & 15 & oct 23 & vs. edmonton eskimos & 33-17 & loss & 11-4 \\
15 & 16 & nov 7 & at hamilton tiger-cats & 24-21 & loss & 11-5 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& week \\
\midrule
0 & 2 \\
\bottomrule
\end{tabular}
| select week where date = 'july 16' <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>score</th>
<th>result</th>
<th>record</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>july 9</td>
<td>vs. saskatchewan roughriders</td>
<td>31-21</td>
<td>win</td>
<td>1-0</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>july 16</td>
<td>at montreal concordes</td>
<td>36-0</td>
<td>win</td>
<td>2-0</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>july 24</td>
<td>vs. hamilton tiger-cats</td>
<td>36-25</td>
<td>loss</td>
<td>2-1</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>aug 1</td>
<td>at edmonton eskimos</td>
<td>32-26</td>
<td>win</td>
<td>3-1</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>aug 8</td>
<td>vs. bc lions</td>
<td>29-16</td>
<td>win</td>
<td>4-1</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>aug 20</td>
<td>at calgary stampeders</td>
<td>35-4</td>
<td>win</td>
<td>5-1</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>aug 28</td>
<td>vs. ottawa rough riders</td>
<td>27-20</td>
<td>win</td>
<td>6-1</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>sept 5</td>
<td>at saskatchewan roughriders</td>
<td>36-35</td>
<td>win</td>
<td>7-1</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>sept 11</td>
<td>vs. calgary stampeders</td>
<td>15-11</td>
<td>loss</td>
<td>7-2</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>sept 18</td>
<td>at ottawa rough riders</td>
<td>38-28</td>
<td>loss</td>
<td>7-3</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>sept 25</td>
<td>vs. montreal concordes</td>
<td>19-16</td>
<td>win</td>
<td>8-3</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>oct 2</td>
<td>at bc lions</td>
<td>29-19</td>
<td>win</td>
<td>9-3</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>oct 11</td>
<td>vs. toronto argonauts</td>
<td>39-35</td>
<td>win</td>
<td>10-3</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>oct 17</td>
<td>at toronto argonauts</td>
<td>29-16</td>
<td>win</td>
<td>11-3</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>oct 23</td>
<td>vs. edmonton eskimos</td>
<td>33-17</td>
<td>loss</td>
<td>11-4</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>nov 7</td>
<td>at hamilton tiger-cats</td>
<td>24-21</td>
<td>loss</td>
<td>11-5</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>2</td>
</tr>
</tbody>
</table> | select week where date = 'july 16' <table_name> : table | | week | date | opponent | score | result | record |
|---:|-------:|:--------|:-----------------------------|:--------|:---------|:---------|
| 0 | 1 | july 9 | vs. saskatchewan roughriders | 31-21 | win | 1-0 |
| 1 | 2 | july 16 | at montreal concordes | 36-0 | win | 2-0 |
| 2 | 3 | july 24 | vs. hamilton tiger-cats | 36-25 | loss | 2-1 |
| 3 | 4 | aug 1 | at edmonton eskimos | 32-26 | win | 3-1 |
| 4 | 5 | aug 8 | vs. bc lions | 29-16 | win | 4-1 |
| 5 | 6 | aug 20 | at calgary stampeders | 35-4 | win | 5-1 |
| 6 | 7 | aug 28 | vs. ottawa rough riders | 27-20 | win | 6-1 |
| 7 | 8 | sept 5 | at saskatchewan roughriders | 36-35 | win | 7-1 |
| 8 | 9 | sept 11 | vs. calgary stampeders | 15-11 | loss | 7-2 |
| 9 | 10 | sept 18 | at ottawa rough riders | 38-28 | loss | 7-3 |
| 10 | 11 | sept 25 | vs. montreal concordes | 19-16 | win | 8-3 |
| 11 | 12 | oct 2 | at bc lions | 29-19 | win | 9-3 |
| 12 | 13 | oct 11 | vs. toronto argonauts | 39-35 | win | 10-3 |
| 13 | 14 | oct 17 | at toronto argonauts | 29-16 | win | 11-3 |
| 14 | 15 | oct 23 | vs. edmonton eskimos | 33-17 | loss | 11-4 |
| 15 | 16 | nov 7 | at hamilton tiger-cats | 24-21 | loss | 11-5 | | | | week |
|---:|-------:|
| 0 | 2 | | [
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select count ( * ) where team = 11 col : team | stadium | capacity | seated row 1 : merthyr town | penydarren park | 10000 | none row 2 : paulton rovers | athletic field | 5000 | 253 row 3 : evesham united | st george's lane | 4749 | none row 4 : winchester city | the city ground | 4500 | 180 row 5 : clevedon town | hand stadium | 3500 | 300 row 6 : cinderford town | the causeway | 3500 | 250 row 7 : tiverton town | ladysmead | 3500 | 520 row 8 : wimborne town | cuthbury | 3250 | 275 row 9 : didcot town | npower loop meadow stadium | 3000 | 150 row 10 : swindon supermarine | the webb's wood stadium | 3000 | none row 11 : bridgwater town | fairfax park | 2500 | 128 row 12 : hungerford town | bulpit lane | 2500 | 170 row 13 : mangotsfield united | cossham street | 2500 | 300 row 14 : taunton town | wordsworth drive | 2500 | 300 row 15 : abingdon united | northcourt road | 2000 | 158 row 16 : poole town | tatnam | 2000 | 154 row 17 : north leigh | eynsham hall park sports ground | 2000 | 100 row 18 : yate town | lodge road | 2000 | 236 row 19 : bishop's cleeve | kayte lane | 1500 | 50 row 20 : sholing | vt group sports ground | 1000 | 150 row 21 : shortwood united | the meadowbank ground | tbc | none row 22 : cirencester town | corinium stadium | tbc | none | col : count ( "*" ) row 1 : 0 | select count ( * ) where team = 11 <table_name> : table \begin{tabular}{lllll}
\toprule
& team & stadium & capacity & seated \\
\midrule
0 & merthyr town & penydarren park & 10000 & none \\
1 & paulton rovers & athletic field & 5000 & 253 \\
2 & evesham united & st george's lane & 4749 & none \\
3 & winchester city & the city ground & 4500 & 180 \\
4 & clevedon town & hand stadium & 3500 & 300 \\
5 & cinderford town & the causeway & 3500 & 250 \\
6 & tiverton town & ladysmead & 3500 & 520 \\
7 & wimborne town & cuthbury & 3250 & 275 \\
8 & didcot town & npower loop meadow stadium & 3000 & 150 \\
9 & swindon supermarine & the webb's wood stadium & 3000 & none \\
10 & bridgwater town & fairfax park & 2500 & 128 \\
11 & hungerford town & bulpit lane & 2500 & 170 \\
12 & mangotsfield united & cossham street & 2500 & 300 \\
13 & taunton town & wordsworth drive & 2500 & 300 \\
14 & abingdon united & northcourt road & 2000 & 158 \\
15 & poole town & tatnam & 2000 & 154 \\
16 & north leigh & eynsham hall park sports ground & 2000 & 100 \\
17 & yate town & lodge road & 2000 & 236 \\
18 & bishop's cleeve & kayte lane & 1500 & 50 \\
19 & sholing & vt group sports ground & 1000 & 150 \\
20 & shortwood united & the meadowbank ground & tbc & none \\
21 & cirencester town & corinium stadium & tbc & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where team = 11 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>team</th>
<th>stadium</th>
<th>capacity</th>
<th>seated</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>merthyr town</td>
<td>penydarren park</td>
<td>10000</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>paulton rovers</td>
<td>athletic field</td>
<td>5000</td>
<td>253</td>
</tr>
<tr>
<th>2</th>
<td>evesham united</td>
<td>st george's lane</td>
<td>4749</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>winchester city</td>
<td>the city ground</td>
<td>4500</td>
<td>180</td>
</tr>
<tr>
<th>4</th>
<td>clevedon town</td>
<td>hand stadium</td>
<td>3500</td>
<td>300</td>
</tr>
<tr>
<th>5</th>
<td>cinderford town</td>
<td>the causeway</td>
<td>3500</td>
<td>250</td>
</tr>
<tr>
<th>6</th>
<td>tiverton town</td>
<td>ladysmead</td>
<td>3500</td>
<td>520</td>
</tr>
<tr>
<th>7</th>
<td>wimborne town</td>
<td>cuthbury</td>
<td>3250</td>
<td>275</td>
</tr>
<tr>
<th>8</th>
<td>didcot town</td>
<td>npower loop meadow stadium</td>
<td>3000</td>
<td>150</td>
</tr>
<tr>
<th>9</th>
<td>swindon supermarine</td>
<td>the webb's wood stadium</td>
<td>3000</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>bridgwater town</td>
<td>fairfax park</td>
<td>2500</td>
<td>128</td>
</tr>
<tr>
<th>11</th>
<td>hungerford town</td>
<td>bulpit lane</td>
<td>2500</td>
<td>170</td>
</tr>
<tr>
<th>12</th>
<td>mangotsfield united</td>
<td>cossham street</td>
<td>2500</td>
<td>300</td>
</tr>
<tr>
<th>13</th>
<td>taunton town</td>
<td>wordsworth drive</td>
<td>2500</td>
<td>300</td>
</tr>
<tr>
<th>14</th>
<td>abingdon united</td>
<td>northcourt road</td>
<td>2000</td>
<td>158</td>
</tr>
<tr>
<th>15</th>
<td>poole town</td>
<td>tatnam</td>
<td>2000</td>
<td>154</td>
</tr>
<tr>
<th>16</th>
<td>north leigh</td>
<td>eynsham hall park sports ground</td>
<td>2000</td>
<td>100</td>
</tr>
<tr>
<th>17</th>
<td>yate town</td>
<td>lodge road</td>
<td>2000</td>
<td>236</td>
</tr>
<tr>
<th>18</th>
<td>bishop's cleeve</td>
<td>kayte lane</td>
<td>1500</td>
<td>50</td>
</tr>
<tr>
<th>19</th>
<td>sholing</td>
<td>vt group sports ground</td>
<td>1000</td>
<td>150</td>
</tr>
<tr>
<th>20</th>
<td>shortwood united</td>
<td>the meadowbank ground</td>
<td>tbc</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>cirencester town</td>
<td>corinium stadium</td>
<td>tbc</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>0</td>
</tr>
</tbody>
</table> | select count ( * ) where team = 11 <table_name> : table | | team | stadium | capacity | seated |
|---:|:--------------------|:--------------------------------|:-----------|:---------|
| 0 | merthyr town | penydarren park | 10000 | none |
| 1 | paulton rovers | athletic field | 5000 | 253 |
| 2 | evesham united | st george's lane | 4749 | none |
| 3 | winchester city | the city ground | 4500 | 180 |
| 4 | clevedon town | hand stadium | 3500 | 300 |
| 5 | cinderford town | the causeway | 3500 | 250 |
| 6 | tiverton town | ladysmead | 3500 | 520 |
| 7 | wimborne town | cuthbury | 3250 | 275 |
| 8 | didcot town | npower loop meadow stadium | 3000 | 150 |
| 9 | swindon supermarine | the webb's wood stadium | 3000 | none |
| 10 | bridgwater town | fairfax park | 2500 | 128 |
| 11 | hungerford town | bulpit lane | 2500 | 170 |
| 12 | mangotsfield united | cossham street | 2500 | 300 |
| 13 | taunton town | wordsworth drive | 2500 | 300 |
| 14 | abingdon united | northcourt road | 2000 | 158 |
| 15 | poole town | tatnam | 2000 | 154 |
| 16 | north leigh | eynsham hall park sports ground | 2000 | 100 |
| 17 | yate town | lodge road | 2000 | 236 |
| 18 | bishop's cleeve | kayte lane | 1500 | 50 |
| 19 | sholing | vt group sports ground | 1000 | 150 |
| 20 | shortwood united | the meadowbank ground | tbc | none |
| 21 | cirencester town | corinium stadium | tbc | none | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select count ( * ) where driver = 'nelson philippe' col : pos | no | driver | team | laps | time/retired | grid | points row 1 : 1 | 1 | sebastien bourdais | newman/haas racing | 66 | 1:51:31.146 | 2 | 34 row 2 : 2 | 9 | justin wilson | rusport | 66 | +3.528 secs | 1 | 29 row 3 : 3 | 5 | will power | team australia | 66 | +46.536 secs | 4 | 26 row 4 : 4 | 2 | bruno junqueira | newman/haas racing | 66 | +1:04.023 | 3 | 23 row 5 : 5 | 15 | alex tagliani | team australia | 66 | +1:18.033 | 8 | 22 row 6 : 6 | 6 | oriol servia | pkv racing | 66 | +1:28.745 | 7 | 19 row 7 : 7 | 4 | nelson philippe | cte racing - hvm | 66 | +1:29.997 | 10 | 17 row 8 : 8 | 27 | andrew ranger | mi-jack conquest racing | 65 | + 1 lap | 16 | 16 row 9 : 9 | 3 | david martinez | forsythe racing | 65 | + 1 lap | 9 | 13 row 10 : 10 | 7 | buddy rice | forsythe racing | 65 | + 1 lap | 14 | 11 row 11 : 11 | 34 | charles zwolsman | mi-jack conquest racing | 65 | + 1 lap | 12 | 10 row 12 : 12 | 18 | antonio pizzonia | rocketsports racing | 65 | + 1 lap | 15 | 9 row 13 : 13 | 11 | jan heylen | dale coyne racing | 65 | + 1 lap | 17 | 8 row 14 : 14 | 10 | ryan briscoe | rusport | 64 | + 2 laps | 5 | 7 row 15 : 15 | 19 | andreas wirth | dale coyne racing | 64 | + 2 laps | 18 | 6 row 16 : 16 | 20 | katherine legge | pkv racing | 63 | + 3 laps | 13 | 5 row 17 : 17 | 8 | mario dominguez | rocketsports racing | 59 | retired | 11 | 4 row 18 : 18 | 14 | dan clarke | cte racing - hvm | 7 | differential | 6 | 3 | col : count ( "*" ) row 1 : 1 | select count ( * ) where driver = 'nelson philippe' <table_name> : table \begin{tabular}{lllllllll}
\toprule
& pos & no & driver & team & laps & time/retired & grid & points \\
\midrule
0 & 1 & 1 & sebastien bourdais & newman/haas racing & 66 & 1:51:31.146 & 2 & 34 \\
1 & 2 & 9 & justin wilson & rusport & 66 & +3.528 secs & 1 & 29 \\
2 & 3 & 5 & will power & team australia & 66 & +46.536 secs & 4 & 26 \\
3 & 4 & 2 & bruno junqueira & newman/haas racing & 66 & +1:04.023 & 3 & 23 \\
4 & 5 & 15 & alex tagliani & team australia & 66 & +1:18.033 & 8 & 22 \\
5 & 6 & 6 & oriol servia & pkv racing & 66 & +1:28.745 & 7 & 19 \\
6 & 7 & 4 & nelson philippe & cte racing - hvm & 66 & +1:29.997 & 10 & 17 \\
7 & 8 & 27 & andrew ranger & mi-jack conquest racing & 65 & + 1 lap & 16 & 16 \\
8 & 9 & 3 & david martinez & forsythe racing & 65 & + 1 lap & 9 & 13 \\
9 & 10 & 7 & buddy rice & forsythe racing & 65 & + 1 lap & 14 & 11 \\
10 & 11 & 34 & charles zwolsman & mi-jack conquest racing & 65 & + 1 lap & 12 & 10 \\
11 & 12 & 18 & antonio pizzonia & rocketsports racing & 65 & + 1 lap & 15 & 9 \\
12 & 13 & 11 & jan heylen & dale coyne racing & 65 & + 1 lap & 17 & 8 \\
13 & 14 & 10 & ryan briscoe & rusport & 64 & + 2 laps & 5 & 7 \\
14 & 15 & 19 & andreas wirth & dale coyne racing & 64 & + 2 laps & 18 & 6 \\
15 & 16 & 20 & katherine legge & pkv racing & 63 & + 3 laps & 13 & 5 \\
16 & 17 & 8 & mario dominguez & rocketsports racing & 59 & retired & 11 & 4 \\
17 & 18 & 14 & dan clarke & cte racing - hvm & 7 & differential & 6 & 3 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where driver = 'nelson philippe' <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>sebastien bourdais</td>
<td>newman/haas racing</td>
<td>66</td>
<td>1:51:31.146</td>
<td>2</td>
<td>34</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>9</td>
<td>justin wilson</td>
<td>rusport</td>
<td>66</td>
<td>+3.528 secs</td>
<td>1</td>
<td>29</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>5</td>
<td>will power</td>
<td>team australia</td>
<td>66</td>
<td>+46.536 secs</td>
<td>4</td>
<td>26</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>2</td>
<td>bruno junqueira</td>
<td>newman/haas racing</td>
<td>66</td>
<td>+1:04.023</td>
<td>3</td>
<td>23</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>15</td>
<td>alex tagliani</td>
<td>team australia</td>
<td>66</td>
<td>+1:18.033</td>
<td>8</td>
<td>22</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>6</td>
<td>oriol servia</td>
<td>pkv racing</td>
<td>66</td>
<td>+1:28.745</td>
<td>7</td>
<td>19</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>4</td>
<td>nelson philippe</td>
<td>cte racing - hvm</td>
<td>66</td>
<td>+1:29.997</td>
<td>10</td>
<td>17</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>27</td>
<td>andrew ranger</td>
<td>mi-jack conquest racing</td>
<td>65</td>
<td>+ 1 lap</td>
<td>16</td>
<td>16</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>3</td>
<td>david martinez</td>
<td>forsythe racing</td>
<td>65</td>
<td>+ 1 lap</td>
<td>9</td>
<td>13</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>7</td>
<td>buddy rice</td>
<td>forsythe racing</td>
<td>65</td>
<td>+ 1 lap</td>
<td>14</td>
<td>11</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>34</td>
<td>charles zwolsman</td>
<td>mi-jack conquest racing</td>
<td>65</td>
<td>+ 1 lap</td>
<td>12</td>
<td>10</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>18</td>
<td>antonio pizzonia</td>
<td>rocketsports racing</td>
<td>65</td>
<td>+ 1 lap</td>
<td>15</td>
<td>9</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>11</td>
<td>jan heylen</td>
<td>dale coyne racing</td>
<td>65</td>
<td>+ 1 lap</td>
<td>17</td>
<td>8</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>10</td>
<td>ryan briscoe</td>
<td>rusport</td>
<td>64</td>
<td>+ 2 laps</td>
<td>5</td>
<td>7</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>19</td>
<td>andreas wirth</td>
<td>dale coyne racing</td>
<td>64</td>
<td>+ 2 laps</td>
<td>18</td>
<td>6</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>20</td>
<td>katherine legge</td>
<td>pkv racing</td>
<td>63</td>
<td>+ 3 laps</td>
<td>13</td>
<td>5</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>8</td>
<td>mario dominguez</td>
<td>rocketsports racing</td>
<td>59</td>
<td>retired</td>
<td>11</td>
<td>4</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>14</td>
<td>dan clarke</td>
<td>cte racing - hvm</td>
<td>7</td>
<td>differential</td>
<td>6</td>
<td>3</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 driver = 'nelson philippe' <table_name> : table | | pos | no | driver | team | laps | time/retired | grid | points |
|---:|------:|-----:|:-------------------|:------------------------|-------:|:---------------|-------:|---------:|
| 0 | 1 | 1 | sebastien bourdais | newman/haas racing | 66 | 1:51:31.146 | 2 | 34 |
| 1 | 2 | 9 | justin wilson | rusport | 66 | +3.528 secs | 1 | 29 |
| 2 | 3 | 5 | will power | team australia | 66 | +46.536 secs | 4 | 26 |
| 3 | 4 | 2 | bruno junqueira | newman/haas racing | 66 | +1:04.023 | 3 | 23 |
| 4 | 5 | 15 | alex tagliani | team australia | 66 | +1:18.033 | 8 | 22 |
| 5 | 6 | 6 | oriol servia | pkv racing | 66 | +1:28.745 | 7 | 19 |
| 6 | 7 | 4 | nelson philippe | cte racing - hvm | 66 | +1:29.997 | 10 | 17 |
| 7 | 8 | 27 | andrew ranger | mi-jack conquest racing | 65 | + 1 lap | 16 | 16 |
| 8 | 9 | 3 | david martinez | forsythe racing | 65 | + 1 lap | 9 | 13 |
| 9 | 10 | 7 | buddy rice | forsythe racing | 65 | + 1 lap | 14 | 11 |
| 10 | 11 | 34 | charles zwolsman | mi-jack conquest racing | 65 | + 1 lap | 12 | 10 |
| 11 | 12 | 18 | antonio pizzonia | rocketsports racing | 65 | + 1 lap | 15 | 9 |
| 12 | 13 | 11 | jan heylen | dale coyne racing | 65 | + 1 lap | 17 | 8 |
| 13 | 14 | 10 | ryan briscoe | rusport | 64 | + 2 laps | 5 | 7 |
| 14 | 15 | 19 | andreas wirth | dale coyne racing | 64 | + 2 laps | 18 | 6 |
| 15 | 16 | 20 | katherine legge | pkv racing | 63 | + 3 laps | 13 | 5 |
| 16 | 17 | 8 | mario dominguez | rocketsports racing | 59 | retired | 11 | 4 |
| 17 | 18 | 14 | dan clarke | cte racing - hvm | 7 | differential | 6 | 3 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select max ( year ) where category = 'from the rhode island international film festival' col : year | award | category | title | result row 1 : 1955 | academy award | best actor | marty | won row 2 : 1955 | bafta award | best foreign actor | marty | won row 3 : 1955 | golden globe award | best actor - motion picture drama | marty | won row 4 : 1955 | nbr award | best actor | marty | won row 5 : 1955 | nyfcc award | best actor | marty | won row 6 : 1962 | emmy award | outstanding continued performance by an actor in a series (lead) | mchale's navy | nominated row 7 : 1979 | emmy award | outstanding supporting actor in a limited series or a special | all quiet on the western front | nominated row 8 : 1999 | daytime emmy award | outstanding performer in an animated program | all dogs go to heaven: the series | nominated row 9 : 2007 | golden globe award | best performance by an actor in a mini-series or a motion picture made for television | a grandpa for christmas | nominated row 10 : 2009 | emmy award | outstanding guest actor - drama | er | nominated row 11 : 2009 | lifetime achievement award | from the rhode island international film festival | none | won row 12 : 2011 | screen actors guild life achievement award | from the screen actors guild | none | won | col : max ( "year" ) row 1 : 2009 | select max ( year ) where category = 'from the rhode island international film festival' <table_name> : table \begin{tabular}{llllll}
\toprule
& year & award & category & title & result \\
\midrule
0 & 1955 & academy award & best actor & marty & won \\
1 & 1955 & bafta award & best foreign actor & marty & won \\
2 & 1955 & golden globe award & best actor - motion picture drama & marty & won \\
3 & 1955 & nbr award & best actor & marty & won \\
4 & 1955 & nyfcc award & best actor & marty & won \\
5 & 1962 & emmy award & outstanding continued performance by an actor in a series (lead) & mchale's navy & nominated \\
6 & 1979 & emmy award & outstanding supporting actor in a limited series or a special & all quiet on the western front & nominated \\
7 & 1999 & daytime emmy award & outstanding performer in an animated program & all dogs go to heaven: the series & nominated \\
8 & 2007 & golden globe award & best performance by an actor in a mini-series or a motion picture made for television & a grandpa for christmas & nominated \\
9 & 2009 & emmy award & outstanding guest actor - drama & er & nominated \\
10 & 2009 & lifetime achievement award & from the rhode island international film festival & none & won \\
11 & 2011 & screen actors guild life achievement award & from the screen actors guild & none & won \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& max ( "year" ) \\
\midrule
0 & 2009 \\
\bottomrule
\end{tabular}
| select max ( year ) where category = 'from the rhode island international film festival' <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>title</th>
<th>result</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1955</td>
<td>academy award</td>
<td>best actor</td>
<td>marty</td>
<td>won</td>
</tr>
<tr>
<th>1</th>
<td>1955</td>
<td>bafta award</td>
<td>best foreign actor</td>
<td>marty</td>
<td>won</td>
</tr>
<tr>
<th>2</th>
<td>1955</td>
<td>golden globe award</td>
<td>best actor - motion picture drama</td>
<td>marty</td>
<td>won</td>
</tr>
<tr>
<th>3</th>
<td>1955</td>
<td>nbr award</td>
<td>best actor</td>
<td>marty</td>
<td>won</td>
</tr>
<tr>
<th>4</th>
<td>1955</td>
<td>nyfcc award</td>
<td>best actor</td>
<td>marty</td>
<td>won</td>
</tr>
<tr>
<th>5</th>
<td>1962</td>
<td>emmy award</td>
<td>outstanding continued performance by an actor in a series (lead)</td>
<td>mchale's navy</td>
<td>nominated</td>
</tr>
<tr>
<th>6</th>
<td>1979</td>
<td>emmy award</td>
<td>outstanding supporting actor in a limited series or a special</td>
<td>all quiet on the western front</td>
<td>nominated</td>
</tr>
<tr>
<th>7</th>
<td>1999</td>
<td>daytime emmy award</td>
<td>outstanding performer in an animated program</td>
<td>all dogs go to heaven: the series</td>
<td>nominated</td>
</tr>
<tr>
<th>8</th>
<td>2007</td>
<td>golden globe award</td>
<td>best performance by an actor in a mini-series or a motion picture made for television</td>
<td>a grandpa for christmas</td>
<td>nominated</td>
</tr>
<tr>
<th>9</th>
<td>2009</td>
<td>emmy award</td>
<td>outstanding guest actor - drama</td>
<td>er</td>
<td>nominated</td>
</tr>
<tr>
<th>10</th>
<td>2009</td>
<td>lifetime achievement award</td>
<td>from the rhode island international film festival</td>
<td>none</td>
<td>won</td>
</tr>
<tr>
<th>11</th>
<td>2011</td>
<td>screen actors guild life achievement award</td>
<td>from the screen actors guild</td>
<td>none</td>
<td>won</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>max ( "year" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2009</td>
</tr>
</tbody>
</table> | select max ( year ) where category = 'from the rhode island international film festival' <table_name> : table | | year | award | category | title | result |
|---:|-------:|:-------------------------------------------|:--------------------------------------------------------------------------------------|:----------------------------------|:----------|
| 0 | 1955 | academy award | best actor | marty | won |
| 1 | 1955 | bafta award | best foreign actor | marty | won |
| 2 | 1955 | golden globe award | best actor - motion picture drama | marty | won |
| 3 | 1955 | nbr award | best actor | marty | won |
| 4 | 1955 | nyfcc award | best actor | marty | won |
| 5 | 1962 | emmy award | outstanding continued performance by an actor in a series (lead) | mchale's navy | nominated |
| 6 | 1979 | emmy award | outstanding supporting actor in a limited series or a special | all quiet on the western front | nominated |
| 7 | 1999 | daytime emmy award | outstanding performer in an animated program | all dogs go to heaven: the series | nominated |
| 8 | 2007 | golden globe award | best performance by an actor in a mini-series or a motion picture made for television | a grandpa for christmas | nominated |
| 9 | 2009 | emmy award | outstanding guest actor - drama | er | nominated |
| 10 | 2009 | lifetime achievement award | from the rhode island international film festival | none | won |
| 11 | 2011 | screen actors guild life achievement award | from the screen actors guild | none | won | | | | max ( "year" ) |
|---:|-----------------:|
| 0 | 2009 | | [
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select date where opponent = 'west ham united' order by attendance desc limit 1 col : date | opponent | venue | result | attendance | scorers row 1 : 2005-08-13 00:00:00 | charlton athletic | stadium of light | 1-3 | 34446 | gray row 2 : 2005-08-20 00:00:00 | liverpool | anfield | 0-1 | 44913 | none row 3 : 2005-08-23 00:00:00 | manchester city | stadium of light | 1-2 | 33357 | le tallec row 4 : 2005-08-27 00:00:00 | wigan athletic | jjb stadium | 0-1 | 17223 | none row 5 : 2005-09-10 00:00:00 | chelsea | stamford bridge | 0-2 | 41969 | none row 6 : 2005-09-17 00:00:00 | west bromwich albion | stadium of light | 1-1 | 31657 | breen row 7 : 2005-09-25 00:00:00 | middlesbrough | riverside stadium | 2-0 | 29583 | miller, arca row 8 : 2005-10-01 00:00:00 | west ham united | stadium of light | 1-1 | 31212 | miller row 9 : 2005-10-15 00:00:00 | manchester united | stadium of light | 1-3 | 39085 | elliott row 10 : 2005-10-23 00:00:00 | newcastle united | st james' park | 2-3 | 52302 | lawrence, elliott row 11 : 2005-10-29 00:00:00 | portsmouth | stadium of light | 1-4 | 34926 | whitehead (pen) row 12 : 2005-11-05 00:00:00 | arsenal | highbury | 1-3 | 38210 | stubbs row 13 : 2005-11-19 00:00:00 | aston villa | stadium of light | 1-3 | 39707 | whitehead (pen) row 14 : 2005-11-26 00:00:00 | birmingham city | stadium of light | 0-1 | 32442 | none row 15 : 2005-11-30 00:00:00 | liverpool | stadium of light | 0-2 | 32697 | none row 16 : 2005-12-03 00:00:00 | tottenham hotspur | white hart lane | 2-3 | 36244 | whitehead, le tallec row 17 : 2005-12-10 00:00:00 | charlton athletic | the valley | 0-2 | 26065 | none row 18 : 2005-12-26 00:00:00 | bolton wanderers | stadium of light | 0-0 | 32232 | none row 19 : 2005-12-31 00:00:00 | everton | stadium of light | 0-1 | 30567 | none row 20 : 2006-01-02 00:00:00 | fulham | craven cottage | 1-2 | 19372 | lawrence row 21 : 2006-01-15 00:00:00 | chelsea | stadium of light | 1-2 | 32420 | lawrence row 22 : 2006-01-21 00:00:00 | west bromwich albion | the hawthorns | 1-0 | 26464 | watson (own goal) row 23 : 2006-01-31 00:00:00 | middlesbrough | stadium of light | 0-3 | 31675 | none row 24 : 2006-02-04 00:00:00 | west ham united | boleyn ground | 0-2 | 34745 | none row 25 : 2006-02-12 00:00:00 | tottenham hotspur | stadium of light | 1-1 | 34700 | murphy row 26 : 2006-02-15 00:00:00 | blackburn rovers | ewood park | 0-2 | 18220 | none row 27 : 2006-02-25 00:00:00 | birmingham city | st. andrew's | 0-1 | 29257 | none row 28 : 2006-03-03 00:00:00 | manchester city | city of manchester stadium | 1-2 | 42200 | kyle row 29 : 2006-03-11 00:00:00 | wigan athletic | stadium of light | 0-1 | 31194 | none row 30 : 2006-03-18 00:00:00 | bolton wanderers | reebok stadium | 0-2 | 23568 | none row 31 : 2006-03-25 00:00:00 | blackburn rovers | stadium of light | 0-1 | 29593 | none row 32 : 2006-04-01 00:00:00 | everton | goodison park | 2-2 | 38093 | stead, delap row 33 : 2006-04-14 00:00:00 | manchester united | old trafford | 0-0 | 72519 | none row 34 : 2006-04-17 00:00:00 | newcastle united | stadium of light | 1-4 | 40032 | hoyte row 35 : 2006-04-22 00:00:00 | portsmouth | fratton park | 1-2 | 20078 | miller row 36 : 2006-05-01 00:00:00 | arsenal | stadium of light | 0-3 | 44003 | none row 37 : 2006-05-04 00:00:00 | fulham | stadium of light | 2-1 | 28226 | le tallec, brown row 38 : 2006-05-07 00:00:00 | aston villa | villa park | 1-2 | 33820 | d. collins | col : date row 1 : 2006-02-04 00:00:00 | select date where opponent = 'west ham united' order by attendance desc limit 1 <table_name> : table \begin{tabular}{lllllll}
\toprule
& date & opponent & venue & result & attendance & scorers \\
\midrule
0 & 2005-08-13 00:00:00 & charlton athletic & stadium of light & 1-3 & 34446 & gray \\
1 & 2005-08-20 00:00:00 & liverpool & anfield & 0-1 & 44913 & none \\
2 & 2005-08-23 00:00:00 & manchester city & stadium of light & 1-2 & 33357 & le tallec \\
3 & 2005-08-27 00:00:00 & wigan athletic & jjb stadium & 0-1 & 17223 & none \\
4 & 2005-09-10 00:00:00 & chelsea & stamford bridge & 0-2 & 41969 & none \\
5 & 2005-09-17 00:00:00 & west bromwich albion & stadium of light & 1-1 & 31657 & breen \\
6 & 2005-09-25 00:00:00 & middlesbrough & riverside stadium & 2-0 & 29583 & miller, arca \\
7 & 2005-10-01 00:00:00 & west ham united & stadium of light & 1-1 & 31212 & miller \\
8 & 2005-10-15 00:00:00 & manchester united & stadium of light & 1-3 & 39085 & elliott \\
9 & 2005-10-23 00:00:00 & newcastle united & st james' park & 2-3 & 52302 & lawrence, elliott \\
10 & 2005-10-29 00:00:00 & portsmouth & stadium of light & 1-4 & 34926 & whitehead (pen) \\
11 & 2005-11-05 00:00:00 & arsenal & highbury & 1-3 & 38210 & stubbs \\
12 & 2005-11-19 00:00:00 & aston villa & stadium of light & 1-3 & 39707 & whitehead (pen) \\
13 & 2005-11-26 00:00:00 & birmingham city & stadium of light & 0-1 & 32442 & none \\
14 & 2005-11-30 00:00:00 & liverpool & stadium of light & 0-2 & 32697 & none \\
15 & 2005-12-03 00:00:00 & tottenham hotspur & white hart lane & 2-3 & 36244 & whitehead, le tallec \\
16 & 2005-12-10 00:00:00 & charlton athletic & the valley & 0-2 & 26065 & none \\
17 & 2005-12-26 00:00:00 & bolton wanderers & stadium of light & 0-0 & 32232 & none \\
18 & 2005-12-31 00:00:00 & everton & stadium of light & 0-1 & 30567 & none \\
19 & 2006-01-02 00:00:00 & fulham & craven cottage & 1-2 & 19372 & lawrence \\
20 & 2006-01-15 00:00:00 & chelsea & stadium of light & 1-2 & 32420 & lawrence \\
21 & 2006-01-21 00:00:00 & west bromwich albion & the hawthorns & 1-0 & 26464 & watson (own goal) \\
22 & 2006-01-31 00:00:00 & middlesbrough & stadium of light & 0-3 & 31675 & none \\
23 & 2006-02-04 00:00:00 & west ham united & boleyn ground & 0-2 & 34745 & none \\
24 & 2006-02-12 00:00:00 & tottenham hotspur & stadium of light & 1-1 & 34700 & murphy \\
25 & 2006-02-15 00:00:00 & blackburn rovers & ewood park & 0-2 & 18220 & none \\
26 & 2006-02-25 00:00:00 & birmingham city & st. andrew's & 0-1 & 29257 & none \\
27 & 2006-03-03 00:00:00 & manchester city & city of manchester stadium & 1-2 & 42200 & kyle \\
28 & 2006-03-11 00:00:00 & wigan athletic & stadium of light & 0-1 & 31194 & none \\
29 & 2006-03-18 00:00:00 & bolton wanderers & reebok stadium & 0-2 & 23568 & none \\
30 & 2006-03-25 00:00:00 & blackburn rovers & stadium of light & 0-1 & 29593 & none \\
31 & 2006-04-01 00:00:00 & everton & goodison park & 2-2 & 38093 & stead, delap \\
32 & 2006-04-14 00:00:00 & manchester united & old trafford & 0-0 & 72519 & none \\
33 & 2006-04-17 00:00:00 & newcastle united & stadium of light & 1-4 & 40032 & hoyte \\
34 & 2006-04-22 00:00:00 & portsmouth & fratton park & 1-2 & 20078 & miller \\
35 & 2006-05-01 00:00:00 & arsenal & stadium of light & 0-3 & 44003 & none \\
36 & 2006-05-04 00:00:00 & fulham & stadium of light & 2-1 & 28226 & le tallec, brown \\
37 & 2006-05-07 00:00:00 & aston villa & villa park & 1-2 & 33820 & d. collins \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& date \\
\midrule
0 & 2006-02-04 00:00:00 \\
\bottomrule
\end{tabular}
| select date where opponent = 'west ham united' order by attendance desc limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>opponent</th>
<th>venue</th>
<th>result</th>
<th>attendance</th>
<th>scorers</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2005-08-13 00:00:00</td>
<td>charlton athletic</td>
<td>stadium of light</td>
<td>1-3</td>
<td>34446</td>
<td>gray</td>
</tr>
<tr>
<th>1</th>
<td>2005-08-20 00:00:00</td>
<td>liverpool</td>
<td>anfield</td>
<td>0-1</td>
<td>44913</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>2005-08-23 00:00:00</td>
<td>manchester city</td>
<td>stadium of light</td>
<td>1-2</td>
<td>33357</td>
<td>le tallec</td>
</tr>
<tr>
<th>3</th>
<td>2005-08-27 00:00:00</td>
<td>wigan athletic</td>
<td>jjb stadium</td>
<td>0-1</td>
<td>17223</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>2005-09-10 00:00:00</td>
<td>chelsea</td>
<td>stamford bridge</td>
<td>0-2</td>
<td>41969</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>2005-09-17 00:00:00</td>
<td>west bromwich albion</td>
<td>stadium of light</td>
<td>1-1</td>
<td>31657</td>
<td>breen</td>
</tr>
<tr>
<th>6</th>
<td>2005-09-25 00:00:00</td>
<td>middlesbrough</td>
<td>riverside stadium</td>
<td>2-0</td>
<td>29583</td>
<td>miller, arca</td>
</tr>
<tr>
<th>7</th>
<td>2005-10-01 00:00:00</td>
<td>west ham united</td>
<td>stadium of light</td>
<td>1-1</td>
<td>31212</td>
<td>miller</td>
</tr>
<tr>
<th>8</th>
<td>2005-10-15 00:00:00</td>
<td>manchester united</td>
<td>stadium of light</td>
<td>1-3</td>
<td>39085</td>
<td>elliott</td>
</tr>
<tr>
<th>9</th>
<td>2005-10-23 00:00:00</td>
<td>newcastle united</td>
<td>st james' park</td>
<td>2-3</td>
<td>52302</td>
<td>lawrence, elliott</td>
</tr>
<tr>
<th>10</th>
<td>2005-10-29 00:00:00</td>
<td>portsmouth</td>
<td>stadium of light</td>
<td>1-4</td>
<td>34926</td>
<td>whitehead (pen)</td>
</tr>
<tr>
<th>11</th>
<td>2005-11-05 00:00:00</td>
<td>arsenal</td>
<td>highbury</td>
<td>1-3</td>
<td>38210</td>
<td>stubbs</td>
</tr>
<tr>
<th>12</th>
<td>2005-11-19 00:00:00</td>
<td>aston villa</td>
<td>stadium of light</td>
<td>1-3</td>
<td>39707</td>
<td>whitehead (pen)</td>
</tr>
<tr>
<th>13</th>
<td>2005-11-26 00:00:00</td>
<td>birmingham city</td>
<td>stadium of light</td>
<td>0-1</td>
<td>32442</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>2005-11-30 00:00:00</td>
<td>liverpool</td>
<td>stadium of light</td>
<td>0-2</td>
<td>32697</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>2005-12-03 00:00:00</td>
<td>tottenham hotspur</td>
<td>white hart lane</td>
<td>2-3</td>
<td>36244</td>
<td>whitehead, le tallec</td>
</tr>
<tr>
<th>16</th>
<td>2005-12-10 00:00:00</td>
<td>charlton athletic</td>
<td>the valley</td>
<td>0-2</td>
<td>26065</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>2005-12-26 00:00:00</td>
<td>bolton wanderers</td>
<td>stadium of light</td>
<td>0-0</td>
<td>32232</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>2005-12-31 00:00:00</td>
<td>everton</td>
<td>stadium of light</td>
<td>0-1</td>
<td>30567</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>2006-01-02 00:00:00</td>
<td>fulham</td>
<td>craven cottage</td>
<td>1-2</td>
<td>19372</td>
<td>lawrence</td>
</tr>
<tr>
<th>20</th>
<td>2006-01-15 00:00:00</td>
<td>chelsea</td>
<td>stadium of light</td>
<td>1-2</td>
<td>32420</td>
<td>lawrence</td>
</tr>
<tr>
<th>21</th>
<td>2006-01-21 00:00:00</td>
<td>west bromwich albion</td>
<td>the hawthorns</td>
<td>1-0</td>
<td>26464</td>
<td>watson (own goal)</td>
</tr>
<tr>
<th>22</th>
<td>2006-01-31 00:00:00</td>
<td>middlesbrough</td>
<td>stadium of light</td>
<td>0-3</td>
<td>31675</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>2006-02-04 00:00:00</td>
<td>west ham united</td>
<td>boleyn ground</td>
<td>0-2</td>
<td>34745</td>
<td>none</td>
</tr>
<tr>
<th>24</th>
<td>2006-02-12 00:00:00</td>
<td>tottenham hotspur</td>
<td>stadium of light</td>
<td>1-1</td>
<td>34700</td>
<td>murphy</td>
</tr>
<tr>
<th>25</th>
<td>2006-02-15 00:00:00</td>
<td>blackburn rovers</td>
<td>ewood park</td>
<td>0-2</td>
<td>18220</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>2006-02-25 00:00:00</td>
<td>birmingham city</td>
<td>st. andrew's</td>
<td>0-1</td>
<td>29257</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>2006-03-03 00:00:00</td>
<td>manchester city</td>
<td>city of manchester stadium</td>
<td>1-2</td>
<td>42200</td>
<td>kyle</td>
</tr>
<tr>
<th>28</th>
<td>2006-03-11 00:00:00</td>
<td>wigan athletic</td>
<td>stadium of light</td>
<td>0-1</td>
<td>31194</td>
<td>none</td>
</tr>
<tr>
<th>29</th>
<td>2006-03-18 00:00:00</td>
<td>bolton wanderers</td>
<td>reebok stadium</td>
<td>0-2</td>
<td>23568</td>
<td>none</td>
</tr>
<tr>
<th>30</th>
<td>2006-03-25 00:00:00</td>
<td>blackburn rovers</td>
<td>stadium of light</td>
<td>0-1</td>
<td>29593</td>
<td>none</td>
</tr>
<tr>
<th>31</th>
<td>2006-04-01 00:00:00</td>
<td>everton</td>
<td>goodison park</td>
<td>2-2</td>
<td>38093</td>
<td>stead, delap</td>
</tr>
<tr>
<th>32</th>
<td>2006-04-14 00:00:00</td>
<td>manchester united</td>
<td>old trafford</td>
<td>0-0</td>
<td>72519</td>
<td>none</td>
</tr>
<tr>
<th>33</th>
<td>2006-04-17 00:00:00</td>
<td>newcastle united</td>
<td>stadium of light</td>
<td>1-4</td>
<td>40032</td>
<td>hoyte</td>
</tr>
<tr>
<th>34</th>
<td>2006-04-22 00:00:00</td>
<td>portsmouth</td>
<td>fratton park</td>
<td>1-2</td>
<td>20078</td>
<td>miller</td>
</tr>
<tr>
<th>35</th>
<td>2006-05-01 00:00:00</td>
<td>arsenal</td>
<td>stadium of light</td>
<td>0-3</td>
<td>44003</td>
<td>none</td>
</tr>
<tr>
<th>36</th>
<td>2006-05-04 00:00:00</td>
<td>fulham</td>
<td>stadium of light</td>
<td>2-1</td>
<td>28226</td>
<td>le tallec, brown</td>
</tr>
<tr>
<th>37</th>
<td>2006-05-07 00:00:00</td>
<td>aston villa</td>
<td>villa park</td>
<td>1-2</td>
<td>33820</td>
<td>d. collins</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>2006-02-04 00:00:00</td>
</tr>
</tbody>
</table> | select date where opponent = 'west ham united' order by attendance desc limit 1 <table_name> : table | | date | opponent | venue | result | attendance | scorers |
|---:|:--------------------|:---------------------|:---------------------------|:---------|-------------:|:---------------------|
| 0 | 2005-08-13 00:00:00 | charlton athletic | stadium of light | 1-3 | 34446 | gray |
| 1 | 2005-08-20 00:00:00 | liverpool | anfield | 0-1 | 44913 | none |
| 2 | 2005-08-23 00:00:00 | manchester city | stadium of light | 1-2 | 33357 | le tallec |
| 3 | 2005-08-27 00:00:00 | wigan athletic | jjb stadium | 0-1 | 17223 | none |
| 4 | 2005-09-10 00:00:00 | chelsea | stamford bridge | 0-2 | 41969 | none |
| 5 | 2005-09-17 00:00:00 | west bromwich albion | stadium of light | 1-1 | 31657 | breen |
| 6 | 2005-09-25 00:00:00 | middlesbrough | riverside stadium | 2-0 | 29583 | miller, arca |
| 7 | 2005-10-01 00:00:00 | west ham united | stadium of light | 1-1 | 31212 | miller |
| 8 | 2005-10-15 00:00:00 | manchester united | stadium of light | 1-3 | 39085 | elliott |
| 9 | 2005-10-23 00:00:00 | newcastle united | st james' park | 2-3 | 52302 | lawrence, elliott |
| 10 | 2005-10-29 00:00:00 | portsmouth | stadium of light | 1-4 | 34926 | whitehead (pen) |
| 11 | 2005-11-05 00:00:00 | arsenal | highbury | 1-3 | 38210 | stubbs |
| 12 | 2005-11-19 00:00:00 | aston villa | stadium of light | 1-3 | 39707 | whitehead (pen) |
| 13 | 2005-11-26 00:00:00 | birmingham city | stadium of light | 0-1 | 32442 | none |
| 14 | 2005-11-30 00:00:00 | liverpool | stadium of light | 0-2 | 32697 | none |
| 15 | 2005-12-03 00:00:00 | tottenham hotspur | white hart lane | 2-3 | 36244 | whitehead, le tallec |
| 16 | 2005-12-10 00:00:00 | charlton athletic | the valley | 0-2 | 26065 | none |
| 17 | 2005-12-26 00:00:00 | bolton wanderers | stadium of light | 0-0 | 32232 | none |
| 18 | 2005-12-31 00:00:00 | everton | stadium of light | 0-1 | 30567 | none |
| 19 | 2006-01-02 00:00:00 | fulham | craven cottage | 1-2 | 19372 | lawrence |
| 20 | 2006-01-15 00:00:00 | chelsea | stadium of light | 1-2 | 32420 | lawrence |
| 21 | 2006-01-21 00:00:00 | west bromwich albion | the hawthorns | 1-0 | 26464 | watson (own goal) |
| 22 | 2006-01-31 00:00:00 | middlesbrough | stadium of light | 0-3 | 31675 | none |
| 23 | 2006-02-04 00:00:00 | west ham united | boleyn ground | 0-2 | 34745 | none |
| 24 | 2006-02-12 00:00:00 | tottenham hotspur | stadium of light | 1-1 | 34700 | murphy |
| 25 | 2006-02-15 00:00:00 | blackburn rovers | ewood park | 0-2 | 18220 | none |
| 26 | 2006-02-25 00:00:00 | birmingham city | st. andrew's | 0-1 | 29257 | none |
| 27 | 2006-03-03 00:00:00 | manchester city | city of manchester stadium | 1-2 | 42200 | kyle |
| 28 | 2006-03-11 00:00:00 | wigan athletic | stadium of light | 0-1 | 31194 | none |
| 29 | 2006-03-18 00:00:00 | bolton wanderers | reebok stadium | 0-2 | 23568 | none |
| 30 | 2006-03-25 00:00:00 | blackburn rovers | stadium of light | 0-1 | 29593 | none |
| 31 | 2006-04-01 00:00:00 | everton | goodison park | 2-2 | 38093 | stead, delap |
| 32 | 2006-04-14 00:00:00 | manchester united | old trafford | 0-0 | 72519 | none |
| 33 | 2006-04-17 00:00:00 | newcastle united | stadium of light | 1-4 | 40032 | hoyte |
| 34 | 2006-04-22 00:00:00 | portsmouth | fratton park | 1-2 | 20078 | miller |
| 35 | 2006-05-01 00:00:00 | arsenal | stadium of light | 0-3 | 44003 | none |
| 36 | 2006-05-04 00:00:00 | fulham | stadium of light | 2-1 | 28226 | le tallec, brown |
| 37 | 2006-05-07 00:00:00 | aston villa | villa park | 1-2 | 33820 | d. collins | | | | date |
|---:|:--------------------|
| 0 | 2006-02-04 00:00:00 | | [
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select ( select count ( role ) where year = 0 ) > 0 col : year | title | role | notes row 1 : 1986 | street legal | angela | none row 2 : 1986 | desiree's wish | waitress | none row 3 : 1988 | t. and t | sydney | none row 4 : 1989 | mosquito lake | tara harrison | none row 5 : 1991 | married to it | student in pageant | none row 6 : 1992 | a town torn apart | none | none row 7 : 1992 | the judge | millie waters | none row 8 : 1992 | forever knight | none | none row 9 : 1993 | family pictures | none | none row 10 : 1993 | kung fu: the legend continues | elizabeth | none row 11 : 1993 | ready or not | none | none row 12 : 1994 | reform school girl | lucille | none row 13 : 1994 | thicker than blood: the larry mclinden story | terra (age 16) | none row 14 : 1995 | skin deep | tina | none row 15 : 1995 | party of five | lorna | none row 16 : 1996 | 3rd rock from the sun | yoga lady | episode: "my mother the alien" row 17 : 1998 | sabrina goes to rome | gwen | none row 18 : 1999 | sabrina, down under | gwen | none row 19 : 1999 | touched by an angel | none | none row 20 : 1999 | black mask | additional voices | none row 21 : 1999 | candid camera | none | none row 22 : 1999 | 1997 kids' choice awards | herself | winner (with the cast of rugrats) for favorite cartoon row 23 : 1999 | 1998 kids' choice awards | herself | winner (with the cast of rugrats) for favorite cartoon row 24 : 1999 | 1999 kids' choice awards | herself | presenter, winner (with the cast of rugrats) for favorite cartoon, winner (with the cast of the rugrats movie) for favorite movie row 25 : 2004 | comic book: the movie | none | none row 26 : 2006 | take home chef | herself | none row 27 : 2007 | the bad girls club | season 2 narrator | none row 28 : 2008 | according to jim | kayla | none row 29 : 2010 | big time rush | miss collins | recurring role row 30 : 2013 | super fun night | young pamela | none row 31 : 2014 | ar | | row 32 : "suicide squad" | | | | col : count ( "select count ( role" ) row 1 : 0 | select ( select count ( role ) where year = 0 ) > 0 <table_name> : table \begin{tabular}{lllll}
\toprule
& year & title & role & notes \\
\midrule
0 & 1986 & street legal & angela & none \\
1 & 1986 & desiree's wish & waitress & none \\
2 & 1988 & t. and t & sydney & none \\
3 & 1989 & mosquito lake & tara harrison & none \\
4 & 1991 & married to it & student in pageant & none \\
5 & 1992 & a town torn apart & none & none \\
6 & 1992 & the judge & millie waters & none \\
7 & 1992 & forever knight & none & none \\
8 & 1993 & family pictures & none & none \\
9 & 1993 & kung fu: the legend continues & elizabeth & none \\
10 & 1993 & ready or not & none & none \\
11 & 1994 & reform school girl & lucille & none \\
12 & 1994 & thicker than blood: the larry mclinden story & terra (age 16) & none \\
13 & 1995 & skin deep & tina & none \\
14 & 1995 & party of five & lorna & none \\
15 & 1996 & 3rd rock from the sun & yoga lady & episode: "my mother the alien" \\
16 & 1998 & sabrina goes to rome & gwen & none \\
17 & 1999 & sabrina, down under & gwen & none \\
18 & 1999 & touched by an angel & none & none \\
19 & 1999 & black mask & additional voices & none \\
20 & 1999 & candid camera & none & none \\
21 & 1999 & 1997 kids' choice awards & herself & winner (with the cast of rugrats) for favorite cartoon \\
22 & 1999 & 1998 kids' choice awards & herself & winner (with the cast of rugrats) for favorite cartoon \\
23 & 1999 & 1999 kids' choice awards & herself & presenter, winner (with the cast of rugrats) for favorite cartoon, winner (with the cast of the rugrats movie) for favorite movie \\
24 & 2004 & comic book: the movie & none & none \\
25 & 2006 & take home chef & herself & none \\
26 & 2007 & the bad girls club & season 2 narrator & none \\
27 & 2008 & according to jim & kayla & none \\
28 & 2010 & big time rush & miss collins & recurring role \\
29 & 2013 & super fun night & young pamela & none \\
30 & 2014 & ar & & \\
31 & "suicide squad" & & | & NaN \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "select count ( role" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select ( select count ( role ) where year = 0 ) > 0 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>year</th>
<th>title</th>
<th>role</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1986</td>
<td>street legal</td>
<td>angela</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>1986</td>
<td>desiree's wish</td>
<td>waitress</td>
<td>none</td>
</tr>
<tr>
<th>2</th>
<td>1988</td>
<td>t. and t</td>
<td>sydney</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>1989</td>
<td>mosquito lake</td>
<td>tara harrison</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>1991</td>
<td>married to it</td>
<td>student in pageant</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>1992</td>
<td>a town torn apart</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>1992</td>
<td>the judge</td>
<td>millie waters</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>1992</td>
<td>forever knight</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>8</th>
<td>1993</td>
<td>family pictures</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>9</th>
<td>1993</td>
<td>kung fu: the legend continues</td>
<td>elizabeth</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>1993</td>
<td>ready or not</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>1994</td>
<td>reform school girl</td>
<td>lucille</td>
<td>none</td>
</tr>
<tr>
<th>12</th>
<td>1994</td>
<td>thicker than blood: the larry mclinden story</td>
<td>terra (age 16)</td>
<td>none</td>
</tr>
<tr>
<th>13</th>
<td>1995</td>
<td>skin deep</td>
<td>tina</td>
<td>none</td>
</tr>
<tr>
<th>14</th>
<td>1995</td>
<td>party of five</td>
<td>lorna</td>
<td>none</td>
</tr>
<tr>
<th>15</th>
<td>1996</td>
<td>3rd rock from the sun</td>
<td>yoga lady</td>
<td>episode: "my mother the alien"</td>
</tr>
<tr>
<th>16</th>
<td>1998</td>
<td>sabrina goes to rome</td>
<td>gwen</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>1999</td>
<td>sabrina, down under</td>
<td>gwen</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>1999</td>
<td>touched by an angel</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>1999</td>
<td>black mask</td>
<td>additional voices</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>1999</td>
<td>candid camera</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>1999</td>
<td>1997 kids' choice awards</td>
<td>herself</td>
<td>winner (with the cast of rugrats) for favorite cartoon</td>
</tr>
<tr>
<th>22</th>
<td>1999</td>
<td>1998 kids' choice awards</td>
<td>herself</td>
<td>winner (with the cast of rugrats) for favorite cartoon</td>
</tr>
<tr>
<th>23</th>
<td>1999</td>
<td>1999 kids' choice awards</td>
<td>herself</td>
<td>presenter, winner (with the cast of rugrats) for favorite cartoon, winner (with the cast of the rugrats movie) for favorite movie</td>
</tr>
<tr>
<th>24</th>
<td>2004</td>
<td>comic book: the movie</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>25</th>
<td>2006</td>
<td>take home chef</td>
<td>herself</td>
<td>none</td>
</tr>
<tr>
<th>26</th>
<td>2007</td>
<td>the bad girls club</td>
<td>season 2 narrator</td>
<td>none</td>
</tr>
<tr>
<th>27</th>
<td>2008</td>
<td>according to jim</td>
<td>kayla</td>
<td>none</td>
</tr>
<tr>
<th>28</th>
<td>2010</td>
<td>big time rush</td>
<td>miss collins</td>
<td>recurring role</td>
</tr>
<tr>
<th>29</th>
<td>2013</td>
<td>super fun night</td>
<td>young pamela</td>
<td>none</td>
</tr>
<tr>
<th>30</th>
<td>2014</td>
<td>ar</td>
<td></td>
<td></td>
</tr>
<tr>
<th>31</th>
<td>"suicide squad"</td>
<td></td>
<td>|</td>
<td>None</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "select count ( role" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>0</td>
</tr>
</tbody>
</table> | select ( select count ( role ) where year = 0 ) > 0 <table_name> : table | | year | title | role | notes |
|---:|:----------------|:---------------------------------------------|:-------------------|:----------------------------------------------------------------------------------------------------------------------------------|
| 0 | 1986 | street legal | angela | none |
| 1 | 1986 | desiree's wish | waitress | none |
| 2 | 1988 | t. and t | sydney | none |
| 3 | 1989 | mosquito lake | tara harrison | none |
| 4 | 1991 | married to it | student in pageant | none |
| 5 | 1992 | a town torn apart | none | none |
| 6 | 1992 | the judge | millie waters | none |
| 7 | 1992 | forever knight | none | none |
| 8 | 1993 | family pictures | none | none |
| 9 | 1993 | kung fu: the legend continues | elizabeth | none |
| 10 | 1993 | ready or not | none | none |
| 11 | 1994 | reform school girl | lucille | none |
| 12 | 1994 | thicker than blood: the larry mclinden story | terra (age 16) | none |
| 13 | 1995 | skin deep | tina | none |
| 14 | 1995 | party of five | lorna | none |
| 15 | 1996 | 3rd rock from the sun | yoga lady | episode: "my mother the alien" |
| 16 | 1998 | sabrina goes to rome | gwen | none |
| 17 | 1999 | sabrina, down under | gwen | none |
| 18 | 1999 | touched by an angel | none | none |
| 19 | 1999 | black mask | additional voices | none |
| 20 | 1999 | candid camera | none | none |
| 21 | 1999 | 1997 kids' choice awards | herself | winner (with the cast of rugrats) for favorite cartoon |
| 22 | 1999 | 1998 kids' choice awards | herself | winner (with the cast of rugrats) for favorite cartoon |
| 23 | 1999 | 1999 kids' choice awards | herself | presenter, winner (with the cast of rugrats) for favorite cartoon, winner (with the cast of the rugrats movie) for favorite movie |
| 24 | 2004 | comic book: the movie | none | none |
| 25 | 2006 | take home chef | herself | none |
| 26 | 2007 | the bad girls club | season 2 narrator | none |
| 27 | 2008 | according to jim | kayla | none |
| 28 | 2010 | big time rush | miss collins | recurring role |
| 29 | 2013 | super fun night | young pamela | none |
| 30 | 2014 | ar | | |
| 31 | "suicide squad" | | | | | | | | count ( "select count ( role" ) |
|---:|----------------------------------:|
| 0 | 0 | | [
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select name where name = 'suifenhe city' col : # | name | hanzi | hanyu pinyin | population (2003 est.) | area (km2) | density (/km2) row 1 : 1 | aimin district | 爱民区 | aimin qu | 230000 | 359 | 641 row 2 : 2 | dong'an district | 东安区 | dong'an qu | 180000 | 566 | 318 row 3 : 3 | yangming district | 阳明区 | yangming qu | 160000 | 358 | 447 row 4 : 4 | xi'an district | 西安区 | xi'an qu | 210000 | 325 | 646 row 5 : 5 | muling city | 穆棱市 | muling shi | 330000 | 6094 | 54 row 6 : 6 | suifenhe city | 绥芬河市 | suifenhe shi | 60000 | 427 | 141 row 7 : 7 | hailin city | 海林市 | hailin shi | 440000 | 9877 | 45 row 8 : 8 | ning'an city | 宁安市 | ning'an shi | 440000 | 7870 | 56 row 9 : 9 | dongning county | 东宁县 | dongning xian | 210000 | 7368 | 29 row 10 : 10 | linkou county | 林口县 | linkou xian | 450000 | 7191 | 63 | col : name row 1 : suifenhe city | select name where name = 'suifenhe city' <table_name> : table \begin{tabular}{llllllll}
\toprule
& # & name & hanzi & hanyu pinyin & population (2003 est.) & area (km2) & density (/km2) \\
\midrule
0 & 1 & aimin district & 爱民区 & aimin qu & 230000 & 359 & 641 \\
1 & 2 & dong'an district & 东安区 & dong'an qu & 180000 & 566 & 318 \\
2 & 3 & yangming district & 阳明区 & yangming qu & 160000 & 358 & 447 \\
3 & 4 & xi'an district & 西安区 & xi'an qu & 210000 & 325 & 646 \\
4 & 5 & muling city & 穆棱市 & muling shi & 330000 & 6094 & 54 \\
5 & 6 & suifenhe city & 绥芬河市 & suifenhe shi & 60000 & 427 & 141 \\
6 & 7 & hailin city & 海林市 & hailin shi & 440000 & 9877 & 45 \\
7 & 8 & ning'an city & 宁安市 & ning'an shi & 440000 & 7870 & 56 \\
8 & 9 & dongning county & 东宁县 & dongning xian & 210000 & 7368 & 29 \\
9 & 10 & linkou county & 林口县 & linkou xian & 450000 & 7191 & 63 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& name \\
\midrule
0 & suifenhe city \\
\bottomrule
\end{tabular}
| select name where name = 'suifenhe city' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>#</th>
<th>name</th>
<th>hanzi</th>
<th>hanyu pinyin</th>
<th>population (2003 est.)</th>
<th>area (km2)</th>
<th>density (/km2)</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>aimin district</td>
<td>爱民区</td>
<td>aimin qu</td>
<td>230000</td>
<td>359</td>
<td>641</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>dong'an district</td>
<td>东安区</td>
<td>dong'an qu</td>
<td>180000</td>
<td>566</td>
<td>318</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>yangming district</td>
<td>阳明区</td>
<td>yangming qu</td>
<td>160000</td>
<td>358</td>
<td>447</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>xi'an district</td>
<td>西安区</td>
<td>xi'an qu</td>
<td>210000</td>
<td>325</td>
<td>646</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>muling city</td>
<td>穆棱市</td>
<td>muling shi</td>
<td>330000</td>
<td>6094</td>
<td>54</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>suifenhe city</td>
<td>绥芬河市</td>
<td>suifenhe shi</td>
<td>60000</td>
<td>427</td>
<td>141</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>hailin city</td>
<td>海林市</td>
<td>hailin shi</td>
<td>440000</td>
<td>9877</td>
<td>45</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>ning'an city</td>
<td>宁安市</td>
<td>ning'an shi</td>
<td>440000</td>
<td>7870</td>
<td>56</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>dongning county</td>
<td>东宁县</td>
<td>dongning xian</td>
<td>210000</td>
<td>7368</td>
<td>29</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>linkou county</td>
<td>林口县</td>
<td>linkou xian</td>
<td>450000</td>
<td>7191</td>
<td>63</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>suifenhe city</td>
</tr>
</tbody>
</table> | select name where name = 'suifenhe city' <table_name> : table | | # | name | hanzi | hanyu pinyin | population (2003 est.) | area (km2) | density (/km2) |
|---:|----:|:------------------|:---------|:---------------|-------------------------:|-------------:|-----------------:|
| 0 | 1 | aimin district | 爱民区 | aimin qu | 230000 | 359 | 641 |
| 1 | 2 | dong'an district | 东安区 | dong'an qu | 180000 | 566 | 318 |
| 2 | 3 | yangming district | 阳明区 | yangming qu | 160000 | 358 | 447 |
| 3 | 4 | xi'an district | 西安区 | xi'an qu | 210000 | 325 | 646 |
| 4 | 5 | muling city | 穆棱市 | muling shi | 330000 | 6094 | 54 |
| 5 | 6 | suifenhe city | 绥芬河市 | suifenhe shi | 60000 | 427 | 141 |
| 6 | 7 | hailin city | 海林市 | hailin shi | 440000 | 9877 | 45 |
| 7 | 8 | ning'an city | 宁安市 | ning'an shi | 440000 | 7870 | 56 |
| 8 | 9 | dongning county | 东宁县 | dongning xian | 210000 | 7368 | 29 |
| 9 | 10 | linkou county | 林口县 | linkou xian | 450000 | 7191 | 63 | | | | name |
|---:|:--------------|
| 0 | suifenhe city | | [
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select count ( * ) where date = '21 december 2007' 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 ( "*" ) row 1 : 4 | select count ( * ) where date = '21 december 2007' <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 ( "*" ) \\
\midrule
0 & 4 \\
\bottomrule
\end{tabular}
| select count ( * ) where date = '21 december 2007' <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 ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>4</td>
</tr>
</tbody>
</table> | select count ( * ) where date = '21 december 2007' <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 ( "*" ) |
|---:|----------------:|
| 0 | 4 | | [
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select event where venue = 'osaka, japan' order by notes asc limit 1 col : year | competition | venue | position | event | notes row 1 : 2003 | world youth championships | sherbrooke, canada | 7th | hammer | 54.43 m row 2 : 2005 | alba games | la habana, cuba | 1st | hammer | 63.30 m row 3 : 2005 | central american and caribbean championships | nassau, bahamas | 4th | hammer | 60.49 m row 4 : 2005 | pan american junior championships | windsor, canada | 1st | hammer | 64.80 m row 5 : 2006 | nacac u23 championships | santo domingo, dominican republic | 2nd | hammer | 66.28 m row 6 : 2007 | pan american games | rio de janeiro, brazil | 2nd | hammer | 68.70 m row 7 : 2007 | world championships | osaka, japan | 9th | hammer | 70.20 m row 8 : 2008 | olympic games | beijing, china | 15th (q) | hammer | 68.74 m row 9 : 2009 | alba games | la habana, cuba | 2nd | hammer | 68.89 m row 10 : 2009 | central american and caribbean championships | havana, cuba | 1st | hammer | 71.32 m row 11 : 2009 | world championships | berlin, germany | 16th (q) | hammer | 69.97 m row 12 : 2011 | pan american games | guadalajara, mexico | 4th | hammer | 68.88 m row 13 : 2012 | olympic games | london, united kingdom | 23rd (q) | hammer | 67.93 m | col : event row 1 : hammer | select event where venue = 'osaka, japan' order by notes asc limit 1 <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & competition & venue & position & event & notes \\
\midrule
0 & 2003 & world youth championships & sherbrooke, canada & 7th & hammer & 54.43 m \\
1 & 2005 & alba games & la habana, cuba & 1st & hammer & 63.30 m \\
2 & 2005 & central american and caribbean championships & nassau, bahamas & 4th & hammer & 60.49 m \\
3 & 2005 & pan american junior championships & windsor, canada & 1st & hammer & 64.80 m \\
4 & 2006 & nacac u23 championships & santo domingo, dominican republic & 2nd & hammer & 66.28 m \\
5 & 2007 & pan american games & rio de janeiro, brazil & 2nd & hammer & 68.70 m \\
6 & 2007 & world championships & osaka, japan & 9th & hammer & 70.20 m \\
7 & 2008 & olympic games & beijing, china & 15th (q) & hammer & 68.74 m \\
8 & 2009 & alba games & la habana, cuba & 2nd & hammer & 68.89 m \\
9 & 2009 & central american and caribbean championships & havana, cuba & 1st & hammer & 71.32 m \\
10 & 2009 & world championships & berlin, germany & 16th (q) & hammer & 69.97 m \\
11 & 2011 & pan american games & guadalajara, mexico & 4th & hammer & 68.88 m \\
12 & 2012 & olympic games & london, united kingdom & 23rd (q) & hammer & 67.93 m \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& event \\
\midrule
0 & hammer \\
\bottomrule
\end{tabular}
| select event where venue = 'osaka, japan' order by notes asc 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>event</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2003</td>
<td>world youth championships</td>
<td>sherbrooke, canada</td>
<td>7th</td>
<td>hammer</td>
<td>54.43 m</td>
</tr>
<tr>
<th>1</th>
<td>2005</td>
<td>alba games</td>
<td>la habana, cuba</td>
<td>1st</td>
<td>hammer</td>
<td>63.30 m</td>
</tr>
<tr>
<th>2</th>
<td>2005</td>
<td>central american and caribbean championships</td>
<td>nassau, bahamas</td>
<td>4th</td>
<td>hammer</td>
<td>60.49 m</td>
</tr>
<tr>
<th>3</th>
<td>2005</td>
<td>pan american junior championships</td>
<td>windsor, canada</td>
<td>1st</td>
<td>hammer</td>
<td>64.80 m</td>
</tr>
<tr>
<th>4</th>
<td>2006</td>
<td>nacac u23 championships</td>
<td>santo domingo, dominican republic</td>
<td>2nd</td>
<td>hammer</td>
<td>66.28 m</td>
</tr>
<tr>
<th>5</th>
<td>2007</td>
<td>pan american games</td>
<td>rio de janeiro, brazil</td>
<td>2nd</td>
<td>hammer</td>
<td>68.70 m</td>
</tr>
<tr>
<th>6</th>
<td>2007</td>
<td>world championships</td>
<td>osaka, japan</td>
<td>9th</td>
<td>hammer</td>
<td>70.20 m</td>
</tr>
<tr>
<th>7</th>
<td>2008</td>
<td>olympic games</td>
<td>beijing, china</td>
<td>15th (q)</td>
<td>hammer</td>
<td>68.74 m</td>
</tr>
<tr>
<th>8</th>
<td>2009</td>
<td>alba games</td>
<td>la habana, cuba</td>
<td>2nd</td>
<td>hammer</td>
<td>68.89 m</td>
</tr>
<tr>
<th>9</th>
<td>2009</td>
<td>central american and caribbean championships</td>
<td>havana, cuba</td>
<td>1st</td>
<td>hammer</td>
<td>71.32 m</td>
</tr>
<tr>
<th>10</th>
<td>2009</td>
<td>world championships</td>
<td>berlin, germany</td>
<td>16th (q)</td>
<td>hammer</td>
<td>69.97 m</td>
</tr>
<tr>
<th>11</th>
<td>2011</td>
<td>pan american games</td>
<td>guadalajara, mexico</td>
<td>4th</td>
<td>hammer</td>
<td>68.88 m</td>
</tr>
<tr>
<th>12</th>
<td>2012</td>
<td>olympic games</td>
<td>london, united kingdom</td>
<td>23rd (q)</td>
<td>hammer</td>
<td>67.93 m</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>event</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>hammer</td>
</tr>
</tbody>
</table> | select event where venue = 'osaka, japan' order by notes asc limit 1 <table_name> : table | | year | competition | venue | position | event | notes |
|---:|-------:|:---------------------------------------------|:----------------------------------|:-----------|:--------|:--------|
| 0 | 2003 | world youth championships | sherbrooke, canada | 7th | hammer | 54.43 m |
| 1 | 2005 | alba games | la habana, cuba | 1st | hammer | 63.30 m |
| 2 | 2005 | central american and caribbean championships | nassau, bahamas | 4th | hammer | 60.49 m |
| 3 | 2005 | pan american junior championships | windsor, canada | 1st | hammer | 64.80 m |
| 4 | 2006 | nacac u23 championships | santo domingo, dominican republic | 2nd | hammer | 66.28 m |
| 5 | 2007 | pan american games | rio de janeiro, brazil | 2nd | hammer | 68.70 m |
| 6 | 2007 | world championships | osaka, japan | 9th | hammer | 70.20 m |
| 7 | 2008 | olympic games | beijing, china | 15th (q) | hammer | 68.74 m |
| 8 | 2009 | alba games | la habana, cuba | 2nd | hammer | 68.89 m |
| 9 | 2009 | central american and caribbean championships | havana, cuba | 1st | hammer | 71.32 m |
| 10 | 2009 | world championships | berlin, germany | 16th (q) | hammer | 69.97 m |
| 11 | 2011 | pan american games | guadalajara, mexico | 4th | hammer | 68.88 m |
| 12 | 2012 | olympic games | london, united kingdom | 23rd (q) | hammer | 67.93 m | | | | event |
|---:|:--------|
| 0 | hammer | | [
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select manufacturer where pos = 9 col : pos | no | rider | manufacturer | laps | time | grid | points row 1 : 1 | 58 | marco simoncelli | gilera | 25 | 39:02.553 | 1 | 25 row 2 : 2 | 19 | alvaro bautista | aprilia | 25 | 0.223 | 3 | 20 row 3 : 3 | 36 | mika kallio | ktm | 25 | 14.45 | 2 | 16 row 4 : 4 | 60 | julian simon | ktm | 25 | 14.478 | 6 | 13 row 5 : 5 | 6 | alex debon | aprilia | 25 | 26.226 | 8 | 11 row 6 : 6 | 15 | roberto locatelli | gilera | 25 | 26.392 | 11 | 10 row 7 : 7 | 72 | yuki takahashi | honda | 25 | 26.434 | 7 | 9 row 8 : 8 | 41 | aleix espargaro | aprilia | 25 | 40.546 | 9 | 8 row 9 : 9 | 14 | ratthapark wilairot | honda | 25 | +1:00.219 | 12 | 7 row 10 : 10 | 32 | fabrizio lai | gilera | 25 | +1:20.825 | 13 | 6 row 11 : 11 | 17 | karel abraham | aprilia | 25 | +1:22.802 | 17 | 5 row 12 : 12 | 25 | alex baldolini | aprilia | 25 | +1:22.864 | 18 | 4 row 13 : 13 | 10 | imre toth | aprilia | 25 | +1:23.995 | 16 | 3 row 14 : 14 | 52 | lukas pesek | aprilia | 25 | +1:39.740 | 14 | 2 row 15 : 15 | 35 | simone grotzkyj | gilera | 24 | +1 lap | 21 | 1 row 16 : 16 | 92 | daniel arcas | honda | 24 | +1 lap | 20 | none row 17 : 17 | 45 | doni tata pradita | yamaha | 24 | +1 lap | 22 | none row 18 : ret | 4 | hiroshi aoyama | ktm | 15 | retirement | 4 | none row 19 : ret | 75 | mattia pasini | aprilia | 15 | accident | 10 | none row 20 : ret | 55 | hector faubel | aprilia | 4 | accident | 5 | none row 21 : ret | 90 | federico sandi | aprilia | 1 | accident | 15 | none row 22 : ret | 43 | manuel hernandez | aprilia | 1 | retirement | 19 | none row 23 : dnq | 27 | stefano bianco | gilera | none | none | none | none row 24 : dnq | 89 | ho wan chow | aprilia | none | none | none | none | col : manufacturer row 1 : honda | select manufacturer where pos = 9 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& pos & no & rider & manufacturer & laps & time & grid & points \\
\midrule
0 & 1 & 58 & marco simoncelli & gilera & 25 & 39:02.553 & 1 & 25 \\
1 & 2 & 19 & alvaro bautista & aprilia & 25 & 0.223 & 3 & 20 \\
2 & 3 & 36 & mika kallio & ktm & 25 & 14.45 & 2 & 16 \\
3 & 4 & 60 & julian simon & ktm & 25 & 14.478 & 6 & 13 \\
4 & 5 & 6 & alex debon & aprilia & 25 & 26.226 & 8 & 11 \\
5 & 6 & 15 & roberto locatelli & gilera & 25 & 26.392 & 11 & 10 \\
6 & 7 & 72 & yuki takahashi & honda & 25 & 26.434 & 7 & 9 \\
7 & 8 & 41 & aleix espargaro & aprilia & 25 & 40.546 & 9 & 8 \\
8 & 9 & 14 & ratthapark wilairot & honda & 25 & +1:00.219 & 12 & 7 \\
9 & 10 & 32 & fabrizio lai & gilera & 25 & +1:20.825 & 13 & 6 \\
10 & 11 & 17 & karel abraham & aprilia & 25 & +1:22.802 & 17 & 5 \\
11 & 12 & 25 & alex baldolini & aprilia & 25 & +1:22.864 & 18 & 4 \\
12 & 13 & 10 & imre toth & aprilia & 25 & +1:23.995 & 16 & 3 \\
13 & 14 & 52 & lukas pesek & aprilia & 25 & +1:39.740 & 14 & 2 \\
14 & 15 & 35 & simone grotzkyj & gilera & 24 & +1 lap & 21 & 1 \\
15 & 16 & 92 & daniel arcas & honda & 24 & +1 lap & 20 & none \\
16 & 17 & 45 & doni tata pradita & yamaha & 24 & +1 lap & 22 & none \\
17 & ret & 4 & hiroshi aoyama & ktm & 15 & retirement & 4 & none \\
18 & ret & 75 & mattia pasini & aprilia & 15 & accident & 10 & none \\
19 & ret & 55 & hector faubel & aprilia & 4 & accident & 5 & none \\
20 & ret & 90 & federico sandi & aprilia & 1 & accident & 15 & none \\
21 & ret & 43 & manuel hernandez & aprilia & 1 & retirement & 19 & none \\
22 & dnq & 27 & stefano bianco & gilera & none & none & none & none \\
23 & dnq & 89 & ho wan chow & aprilia & none & none & none & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& manufacturer \\
\midrule
0 & honda \\
\bottomrule
\end{tabular}
| select manufacturer where pos = 9 <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>manufacturer</th>
<th>laps</th>
<th>time</th>
<th>grid</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>58</td>
<td>marco simoncelli</td>
<td>gilera</td>
<td>25</td>
<td>39:02.553</td>
<td>1</td>
<td>25</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>19</td>
<td>alvaro bautista</td>
<td>aprilia</td>
<td>25</td>
<td>0.223</td>
<td>3</td>
<td>20</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>36</td>
<td>mika kallio</td>
<td>ktm</td>
<td>25</td>
<td>14.45</td>
<td>2</td>
<td>16</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>60</td>
<td>julian simon</td>
<td>ktm</td>
<td>25</td>
<td>14.478</td>
<td>6</td>
<td>13</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>6</td>
<td>alex debon</td>
<td>aprilia</td>
<td>25</td>
<td>26.226</td>
<td>8</td>
<td>11</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>15</td>
<td>roberto locatelli</td>
<td>gilera</td>
<td>25</td>
<td>26.392</td>
<td>11</td>
<td>10</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>72</td>
<td>yuki takahashi</td>
<td>honda</td>
<td>25</td>
<td>26.434</td>
<td>7</td>
<td>9</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>41</td>
<td>aleix espargaro</td>
<td>aprilia</td>
<td>25</td>
<td>40.546</td>
<td>9</td>
<td>8</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>14</td>
<td>ratthapark wilairot</td>
<td>honda</td>
<td>25</td>
<td>+1:00.219</td>
<td>12</td>
<td>7</td>
</tr>
<tr>
<th>9</th>
<td>10</td>
<td>32</td>
<td>fabrizio lai</td>
<td>gilera</td>
<td>25</td>
<td>+1:20.825</td>
<td>13</td>
<td>6</td>
</tr>
<tr>
<th>10</th>
<td>11</td>
<td>17</td>
<td>karel abraham</td>
<td>aprilia</td>
<td>25</td>
<td>+1:22.802</td>
<td>17</td>
<td>5</td>
</tr>
<tr>
<th>11</th>
<td>12</td>
<td>25</td>
<td>alex baldolini</td>
<td>aprilia</td>
<td>25</td>
<td>+1:22.864</td>
<td>18</td>
<td>4</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>10</td>
<td>imre toth</td>
<td>aprilia</td>
<td>25</td>
<td>+1:23.995</td>
<td>16</td>
<td>3</td>
</tr>
<tr>
<th>13</th>
<td>14</td>
<td>52</td>
<td>lukas pesek</td>
<td>aprilia</td>
<td>25</td>
<td>+1:39.740</td>
<td>14</td>
<td>2</td>
</tr>
<tr>
<th>14</th>
<td>15</td>
<td>35</td>
<td>simone grotzkyj</td>
<td>gilera</td>
<td>24</td>
<td>+1 lap</td>
<td>21</td>
<td>1</td>
</tr>
<tr>
<th>15</th>
<td>16</td>
<td>92</td>
<td>daniel arcas</td>
<td>honda</td>
<td>24</td>
<td>+1 lap</td>
<td>20</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>17</td>
<td>45</td>
<td>doni tata pradita</td>
<td>yamaha</td>
<td>24</td>
<td>+1 lap</td>
<td>22</td>
<td>none</td>
</tr>
<tr>
<th>17</th>
<td>ret</td>
<td>4</td>
<td>hiroshi aoyama</td>
<td>ktm</td>
<td>15</td>
<td>retirement</td>
<td>4</td>
<td>none</td>
</tr>
<tr>
<th>18</th>
<td>ret</td>
<td>75</td>
<td>mattia pasini</td>
<td>aprilia</td>
<td>15</td>
<td>accident</td>
<td>10</td>
<td>none</td>
</tr>
<tr>
<th>19</th>
<td>ret</td>
<td>55</td>
<td>hector faubel</td>
<td>aprilia</td>
<td>4</td>
<td>accident</td>
<td>5</td>
<td>none</td>
</tr>
<tr>
<th>20</th>
<td>ret</td>
<td>90</td>
<td>federico sandi</td>
<td>aprilia</td>
<td>1</td>
<td>accident</td>
<td>15</td>
<td>none</td>
</tr>
<tr>
<th>21</th>
<td>ret</td>
<td>43</td>
<td>manuel hernandez</td>
<td>aprilia</td>
<td>1</td>
<td>retirement</td>
<td>19</td>
<td>none</td>
</tr>
<tr>
<th>22</th>
<td>dnq</td>
<td>27</td>
<td>stefano bianco</td>
<td>gilera</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>23</th>
<td>dnq</td>
<td>89</td>
<td>ho wan chow</td>
<td>aprilia</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>manufacturer</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>honda</td>
</tr>
</tbody>
</table> | select manufacturer where pos = 9 <table_name> : table | | pos | no | rider | manufacturer | laps | time | grid | points |
|---:|:------|-----:|:--------------------|:---------------|:-------|:-----------|:-------|:---------|
| 0 | 1 | 58 | marco simoncelli | gilera | 25 | 39:02.553 | 1 | 25 |
| 1 | 2 | 19 | alvaro bautista | aprilia | 25 | 0.223 | 3 | 20 |
| 2 | 3 | 36 | mika kallio | ktm | 25 | 14.45 | 2 | 16 |
| 3 | 4 | 60 | julian simon | ktm | 25 | 14.478 | 6 | 13 |
| 4 | 5 | 6 | alex debon | aprilia | 25 | 26.226 | 8 | 11 |
| 5 | 6 | 15 | roberto locatelli | gilera | 25 | 26.392 | 11 | 10 |
| 6 | 7 | 72 | yuki takahashi | honda | 25 | 26.434 | 7 | 9 |
| 7 | 8 | 41 | aleix espargaro | aprilia | 25 | 40.546 | 9 | 8 |
| 8 | 9 | 14 | ratthapark wilairot | honda | 25 | +1:00.219 | 12 | 7 |
| 9 | 10 | 32 | fabrizio lai | gilera | 25 | +1:20.825 | 13 | 6 |
| 10 | 11 | 17 | karel abraham | aprilia | 25 | +1:22.802 | 17 | 5 |
| 11 | 12 | 25 | alex baldolini | aprilia | 25 | +1:22.864 | 18 | 4 |
| 12 | 13 | 10 | imre toth | aprilia | 25 | +1:23.995 | 16 | 3 |
| 13 | 14 | 52 | lukas pesek | aprilia | 25 | +1:39.740 | 14 | 2 |
| 14 | 15 | 35 | simone grotzkyj | gilera | 24 | +1 lap | 21 | 1 |
| 15 | 16 | 92 | daniel arcas | honda | 24 | +1 lap | 20 | none |
| 16 | 17 | 45 | doni tata pradita | yamaha | 24 | +1 lap | 22 | none |
| 17 | ret | 4 | hiroshi aoyama | ktm | 15 | retirement | 4 | none |
| 18 | ret | 75 | mattia pasini | aprilia | 15 | accident | 10 | none |
| 19 | ret | 55 | hector faubel | aprilia | 4 | accident | 5 | none |
| 20 | ret | 90 | federico sandi | aprilia | 1 | accident | 15 | none |
| 21 | ret | 43 | manuel hernandez | aprilia | 1 | retirement | 19 | none |
| 22 | dnq | 27 | stefano bianco | gilera | none | none | none | none |
| 23 | dnq | 89 | ho wan chow | aprilia | none | none | none | none | | | | manufacturer |
|---:|:---------------|
| 0 | honda | | [
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select year - year where player = 'raymond van barneveld' col : player | year | round | result | opponent row 1 : raymond van barneveld | 2009 | quarter-final | won | jelle klaasen row 2 : raymond van barneveld | 2010 | 2nd round | won | brendan dolan row 3 : adrian lewis | 2011 | final | won | gary anderson row 4 : dean winstanley | 2013 | 2nd round | lost | vincent van der voort row 5 : michael van gerwen | 2013 | semi final | won | james wade row 6 : terry jenkins | 2014 | 1st round | lost | per laursen row 7 : kyle anderson | 2014 | 1st round | lost | ian white | col : "year - year" row 1 : year - year row 2 : year - year | select year - year where player = 'raymond van barneveld' <table_name> : table \begin{tabular}{llllll}
\toprule
& player & year & round & result & opponent \\
\midrule
0 & raymond van barneveld & 2009 & quarter-final & won & jelle klaasen \\
1 & raymond van barneveld & 2010 & 2nd round & won & brendan dolan \\
2 & adrian lewis & 2011 & final & won & gary anderson \\
3 & dean winstanley & 2013 & 2nd round & lost & vincent van der voort \\
4 & michael van gerwen & 2013 & semi final & won & james wade \\
5 & terry jenkins & 2014 & 1st round & lost & per laursen \\
6 & kyle anderson & 2014 & 1st round & lost & ian white \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& "year - year" \\
\midrule
0 & year - year \\
1 & year - year \\
\bottomrule
\end{tabular}
| select year - year where player = 'raymond van barneveld' <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>player</th>
<th>year</th>
<th>round</th>
<th>result</th>
<th>opponent</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>raymond van barneveld</td>
<td>2009</td>
<td>quarter-final</td>
<td>won</td>
<td>jelle klaasen</td>
</tr>
<tr>
<th>1</th>
<td>raymond van barneveld</td>
<td>2010</td>
<td>2nd round</td>
<td>won</td>
<td>brendan dolan</td>
</tr>
<tr>
<th>2</th>
<td>adrian lewis</td>
<td>2011</td>
<td>final</td>
<td>won</td>
<td>gary anderson</td>
</tr>
<tr>
<th>3</th>
<td>dean winstanley</td>
<td>2013</td>
<td>2nd round</td>
<td>lost</td>
<td>vincent van der voort</td>
</tr>
<tr>
<th>4</th>
<td>michael van gerwen</td>
<td>2013</td>
<td>semi final</td>
<td>won</td>
<td>james wade</td>
</tr>
<tr>
<th>5</th>
<td>terry jenkins</td>
<td>2014</td>
<td>1st round</td>
<td>lost</td>
<td>per laursen</td>
</tr>
<tr>
<th>6</th>
<td>kyle anderson</td>
<td>2014</td>
<td>1st round</td>
<td>lost</td>
<td>ian white</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>"year - year"</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>year - year</td>
</tr>
<tr>
<th>1</th>
<td>year - year</td>
</tr>
</tbody>
</table> | select year - year where player = 'raymond van barneveld' <table_name> : table | | player | year | round | result | opponent |
|---:|:----------------------|-------:|:--------------|:---------|:----------------------|
| 0 | raymond van barneveld | 2009 | quarter-final | won | jelle klaasen |
| 1 | raymond van barneveld | 2010 | 2nd round | won | brendan dolan |
| 2 | adrian lewis | 2011 | final | won | gary anderson |
| 3 | dean winstanley | 2013 | 2nd round | lost | vincent van der voort |
| 4 | michael van gerwen | 2013 | semi final | won | james wade |
| 5 | terry jenkins | 2014 | 1st round | lost | per laursen |
| 6 | kyle anderson | 2014 | 1st round | lost | ian white | | | | "year - year" |
|---:|:----------------|
| 0 | year - year |
| 1 | year - year | | [
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select count ( report 1 ) where attendance > 1371 col : date | opponents | venue | result | scorers | attendance | report 1 | report 2 row 1 : 2068-01-27 00:00:00 | bournemouth | a | 0-0 | none | 24388 | report | report row 2 : 2068-01-30 00:00:00 | bournemouth | h | 4-1 | hateley 33' thompson 44' hunt 51' lawler 73' | 54075 | report | report row 3 : 2068-02-17 00:00:00 | walsall | a | 0-0 | none | 21066 | report | report row 4 : 2068-02-19 00:00:00 | walsall | h | 5-2 | hateley 24', 33', 64', 71' strong 34' | 39113 | report | report row 5 : 2068-03-09 00:00:00 | tottenham hotspur | a | 1-1 | hateley 54' | 54005 | report | report row 6 : 2068-03-12 00:00:00 | tottenham hotspur | h | 2-1 | hunt 23' smith 78 pen' | 53658 | report | report row 7 : 2068-03-30 00:00:00 | west bromwich albion | a | 0-0 | none | 53062 | report | report row 8 : 2068-04-08 00:00:00 | west bromwich albion | h | 1-1 | hateley 24' | 54273 | report | report row 9 : 2068-04-18 00:00:00 | west bromwich albion | n | 1-2 | hateley 39' | 56000 | report | report | col : count ( "report 1" ) row 1 : 9 | select count ( report 1 ) where attendance > 1371 <table_name> : table \begin{tabular}{lllllllll}
\toprule
& date & opponents & venue & result & scorers & attendance & report 1 & report 2 \\
\midrule
0 & 2068-01-27 00:00:00 & bournemouth & a & 0-0 & none & 24388 & report & report \\
1 & 2068-01-30 00:00:00 & bournemouth & h & 4-1 & hateley 33' thompson 44' hunt 51' lawler 73' & 54075 & report & report \\
2 & 2068-02-17 00:00:00 & walsall & a & 0-0 & none & 21066 & report & report \\
3 & 2068-02-19 00:00:00 & walsall & h & 5-2 & hateley 24', 33', 64', 71' strong 34' & 39113 & report & report \\
4 & 2068-03-09 00:00:00 & tottenham hotspur & a & 1-1 & hateley 54' & 54005 & report & report \\
5 & 2068-03-12 00:00:00 & tottenham hotspur & h & 2-1 & hunt 23' smith 78 pen' & 53658 & report & report \\
6 & 2068-03-30 00:00:00 & west bromwich albion & a & 0-0 & none & 53062 & report & report \\
7 & 2068-04-08 00:00:00 & west bromwich albion & h & 1-1 & hateley 24' & 54273 & report & report \\
8 & 2068-04-18 00:00:00 & west bromwich albion & n & 1-2 & hateley 39' & 56000 & report & report \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "report 1" ) \\
\midrule
0 & 9 \\
\bottomrule
\end{tabular}
| select count ( report 1 ) where attendance > 1371 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>date</th>
<th>opponents</th>
<th>venue</th>
<th>result</th>
<th>scorers</th>
<th>attendance</th>
<th>report 1</th>
<th>report 2</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2068-01-27 00:00:00</td>
<td>bournemouth</td>
<td>a</td>
<td>0-0</td>
<td>none</td>
<td>24388</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>1</th>
<td>2068-01-30 00:00:00</td>
<td>bournemouth</td>
<td>h</td>
<td>4-1</td>
<td>hateley 33' thompson 44' hunt 51' lawler 73'</td>
<td>54075</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>2</th>
<td>2068-02-17 00:00:00</td>
<td>walsall</td>
<td>a</td>
<td>0-0</td>
<td>none</td>
<td>21066</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>3</th>
<td>2068-02-19 00:00:00</td>
<td>walsall</td>
<td>h</td>
<td>5-2</td>
<td>hateley 24', 33', 64', 71' strong 34'</td>
<td>39113</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>4</th>
<td>2068-03-09 00:00:00</td>
<td>tottenham hotspur</td>
<td>a</td>
<td>1-1</td>
<td>hateley 54'</td>
<td>54005</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>5</th>
<td>2068-03-12 00:00:00</td>
<td>tottenham hotspur</td>
<td>h</td>
<td>2-1</td>
<td>hunt 23' smith 78 pen'</td>
<td>53658</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>6</th>
<td>2068-03-30 00:00:00</td>
<td>west bromwich albion</td>
<td>a</td>
<td>0-0</td>
<td>none</td>
<td>53062</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>7</th>
<td>2068-04-08 00:00:00</td>
<td>west bromwich albion</td>
<td>h</td>
<td>1-1</td>
<td>hateley 24'</td>
<td>54273</td>
<td>report</td>
<td>report</td>
</tr>
<tr>
<th>8</th>
<td>2068-04-18 00:00:00</td>
<td>west bromwich albion</td>
<td>n</td>
<td>1-2</td>
<td>hateley 39'</td>
<td>56000</td>
<td>report</td>
<td>report</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>count ( "report 1" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>9</td>
</tr>
</tbody>
</table> | select count ( report 1 ) where attendance > 1371 <table_name> : table | | date | opponents | venue | result | scorers | attendance | report 1 | report 2 |
|---:|:--------------------|:---------------------|:--------|:---------|:---------------------------------------------|-------------:|:-----------|:-----------|
| 0 | 2068-01-27 00:00:00 | bournemouth | a | 0-0 | none | 24388 | report | report |
| 1 | 2068-01-30 00:00:00 | bournemouth | h | 4-1 | hateley 33' thompson 44' hunt 51' lawler 73' | 54075 | report | report |
| 2 | 2068-02-17 00:00:00 | walsall | a | 0-0 | none | 21066 | report | report |
| 3 | 2068-02-19 00:00:00 | walsall | h | 5-2 | hateley 24', 33', 64', 71' strong 34' | 39113 | report | report |
| 4 | 2068-03-09 00:00:00 | tottenham hotspur | a | 1-1 | hateley 54' | 54005 | report | report |
| 5 | 2068-03-12 00:00:00 | tottenham hotspur | h | 2-1 | hunt 23' smith 78 pen' | 53658 | report | report |
| 6 | 2068-03-30 00:00:00 | west bromwich albion | a | 0-0 | none | 53062 | report | report |
| 7 | 2068-04-08 00:00:00 | west bromwich albion | h | 1-1 | hateley 24' | 54273 | report | report |
| 8 | 2068-04-18 00:00:00 | west bromwich albion | n | 1-2 | hateley 39' | 56000 | report | report | | | | count ( "report 1" ) |
|---:|-----------------------:|
| 0 | 9 | | [
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select year where year = 2013 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 : 2013 | select year where year = 2013 <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 & 2013 \\
\bottomrule
\end{tabular}
| select year where year = 2013 <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>2013</td>
</tr>
</tbody>
</table> | select year where year = 2013 <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 | 2013 | | [
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select league where open cup = 'did not qualify' col : year | division | league | regular season | playoffs | open cup row 1 : 2008 | 4 | npsl | 2nd, mid atlantic | did not qualify | did not qualify row 2 : 2009 | 4 | npsl | 5th, atlantic | did not qualify | did not enter row 3 : 2010 | 4 | npsl | 5th, atlantic | did not qualify | did not enter row 4 : 2010-11 | 5 | csl i | in progress | none | none row 5 : 2011 | 4 | npsl | 4th, atlantic | did not qualify | did not enter row 6 : 2012 | 4 | npsl | 3rd, atlantic | did not qualify | did not enter row 7 : 2013 | 4 | npsl | 3rd, atlantic | did not qualify | did not enter | col : league row 1 : npsl | select league where open cup = 'did not qualify' <table_name> : table \begin{tabular}{lllllll}
\toprule
& year & division & league & regular season & playoffs & open cup \\
\midrule
0 & 2008 & 4 & npsl & 2nd, mid atlantic & did not qualify & did not qualify \\
1 & 2009 & 4 & npsl & 5th, atlantic & did not qualify & did not enter \\
2 & 2010 & 4 & npsl & 5th, atlantic & did not qualify & did not enter \\
3 & 2010-11 & 5 & csl i & in progress & none & none \\
4 & 2011 & 4 & npsl & 4th, atlantic & did not qualify & did not enter \\
5 & 2012 & 4 & npsl & 3rd, atlantic & did not qualify & did not enter \\
6 & 2013 & 4 & npsl & 3rd, atlantic & did not qualify & did not enter \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& league \\
\midrule
0 & npsl \\
\bottomrule
\end{tabular}
| select league where open cup = 'did not qualify' <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>2008</td>
<td>4</td>
<td>npsl</td>
<td>2nd, mid atlantic</td>
<td>did not qualify</td>
<td>did not qualify</td>
</tr>
<tr>
<th>1</th>
<td>2009</td>
<td>4</td>
<td>npsl</td>
<td>5th, atlantic</td>
<td>did not qualify</td>
<td>did not enter</td>
</tr>
<tr>
<th>2</th>
<td>2010</td>
<td>4</td>
<td>npsl</td>
<td>5th, atlantic</td>
<td>did not qualify</td>
<td>did not enter</td>
</tr>
<tr>
<th>3</th>
<td>2010-11</td>
<td>5</td>
<td>csl i</td>
<td>in progress</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>2011</td>
<td>4</td>
<td>npsl</td>
<td>4th, atlantic</td>
<td>did not qualify</td>
<td>did not enter</td>
</tr>
<tr>
<th>5</th>
<td>2012</td>
<td>4</td>
<td>npsl</td>
<td>3rd, atlantic</td>
<td>did not qualify</td>
<td>did not enter</td>
</tr>
<tr>
<th>6</th>
<td>2013</td>
<td>4</td>
<td>npsl</td>
<td>3rd, atlantic</td>
<td>did not qualify</td>
<td>did not enter</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>league</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>npsl</td>
</tr>
</tbody>
</table> | select league where open cup = 'did not qualify' <table_name> : table | | year | division | league | regular season | playoffs | open cup |
|---:|:--------|-----------:|:---------|:------------------|:----------------|:----------------|
| 0 | 2008 | 4 | npsl | 2nd, mid atlantic | did not qualify | did not qualify |
| 1 | 2009 | 4 | npsl | 5th, atlantic | did not qualify | did not enter |
| 2 | 2010 | 4 | npsl | 5th, atlantic | did not qualify | did not enter |
| 3 | 2010-11 | 5 | csl i | in progress | none | none |
| 4 | 2011 | 4 | npsl | 4th, atlantic | did not qualify | did not enter |
| 5 | 2012 | 4 | npsl | 3rd, atlantic | did not qualify | did not enter |
| 6 | 2013 | 4 | npsl | 3rd, atlantic | did not qualify | did not enter | | | | league |
|---:|:---------|
| 0 | npsl | | [
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select title where no. in series = 15 col : no. in series | no. in season | title | directed by | written by | original air date | prod. code row 1 : 3 | 1 | "so long, patrick henry" | leo penn | robert culp | september 15, 1965 | 101 row 2 : 5 | 2 | "a cup of kindness" | leo penn | morton fine & david friedkin | september 22, 1965 | 102 row 3 : 2 | 3 | "carry me back to old tsing-tao" | mark rydell | david karp | september 29, 1965 | 103 row 4 : 6 | 4 | "chrysanthemum" | david friedkin | edward j. lakso | october 6, 1965 | 104 row 5 : 7 | 5 | "dragon's teeth" | leo penn | gilbert ralston | october 13, 1965 | 105 row 6 : 8 | 6 | "the loser" | mark rydell | robert culp | october 20, 1965 | 106 row 7 : 4 | 7 | "danny was a million laughs" | mark rydell | arthur dales | october 27, 1965 | 107 row 8 : 10 | 8 | "the time of the knife" | paul wendkos | gilbert ralston | november 3, 1965 | 108 row 9 : 9 | 9 | "no exchange on damaged merchandise" | leo penn | gary marshall & jerry belson | november 10, 1965 | 109 row 10 : 11 | 10 | "tatia" | david friedkin | robert lewin | november 17, 1965 | 110 row 11 : 12 | 11 | "weight of the world" | paul wendkos | robert lewin | december 1, 1965 | 111 row 12 : 14 | 12 | "three hours on a sunday" | paul wendkos | morton fine & david friedkin | december 8, 1965 | 112 row 13 : 13 | 13 | "tigers of heaven" | allen reisner | morton fine & david friedkin | december 15, 1965 | 113 row 14 : 1 | 14 | "affair in t'sien cha" | sheldon leonard | morton fine & david friedkin | december 29, 1965 | 114 row 15 : 16 | 15 | "the tiger" | paul wendkos | robert culp | january 5, 1966 | 115 row 16 : 17 | 16 | "the barter" | allen reisner | harvey bullock & p.s. allen | january 12, 1966 | 116 row 17 : 15 | 17 | "always say goodbye" | allen reisner | robert c. dennis & earl barrett | january 26, 1966 | 117 row 18 : 18 | 18 | "court of the lion" | robert culp | robert culp | february 2, 1966 | 118 row 19 : 19 | 19 | "turkish delight" | paul wendkos | eric bercovici | february 9, 1966 | 119 row 20 : 20 | 20 | "bet me a dollar" | richard sarafian | david friedkin & morton fine | february 16, 1966 | 120 row 21 : 21 | 21 | "return to glory" | robert sarafian | david friedkin & morton fine | february 23, 1966 | 121 row 22 : 22 | 22 | "the conquest of maude murdock" | paul wendkos | robert c. dennis & earl barrett | march 2, 1966 | 122 row 23 : 23 | 23 | "a day called 4 jaguar" | richard sarafian | michael zagar | march 9, 1966 | 123 row 24 : 25 | 24 | "crusade to limbo" | richard sarafian | teleplay by: morton fine & david freidkin & jack turley story by: jack turley | march 23, 1966 | 124 row 25 : 26 | 25 | "my mother, the spy" | richard benedict | howard gast | march 30, 1966 | 125 row 26 : 27 | 26 | "there was a little girl" | john rich | teleplay by: stephen kandell story by: robert bloch | april 6, 1966 | 126 row 27 : 28 | 27 | "it's all done with mirrors" | robert butler | stephen kandell | april 13, 1966 | 127 row 28 : 24 | 28 | "one thousand fine" | paul wendkos | eric bercovici | april 27, 1966 | 128 | col : title row 1 : "always say goodbye" | select title where no. in series = 15 <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 & 3 & 1 & "so long, patrick henry" & leo penn & robert culp & september 15, 1965 & 101 \\
1 & 5 & 2 & "a cup of kindness" & leo penn & morton fine & david friedkin & september 22, 1965 & 102 \\
2 & 2 & 3 & "carry me back to old tsing-tao" & mark rydell & david karp & september 29, 1965 & 103 \\
3 & 6 & 4 & "chrysanthemum" & david friedkin & edward j. lakso & october 6, 1965 & 104 \\
4 & 7 & 5 & "dragon's teeth" & leo penn & gilbert ralston & october 13, 1965 & 105 \\
5 & 8 & 6 & "the loser" & mark rydell & robert culp & october 20, 1965 & 106 \\
6 & 4 & 7 & "danny was a million laughs" & mark rydell & arthur dales & october 27, 1965 & 107 \\
7 & 10 & 8 & "the time of the knife" & paul wendkos & gilbert ralston & november 3, 1965 & 108 \\
8 & 9 & 9 & "no exchange on damaged merchandise" & leo penn & gary marshall & jerry belson & november 10, 1965 & 109 \\
9 & 11 & 10 & "tatia" & david friedkin & robert lewin & november 17, 1965 & 110 \\
10 & 12 & 11 & "weight of the world" & paul wendkos & robert lewin & december 1, 1965 & 111 \\
11 & 14 & 12 & "three hours on a sunday" & paul wendkos & morton fine & david friedkin & december 8, 1965 & 112 \\
12 & 13 & 13 & "tigers of heaven" & allen reisner & morton fine & david friedkin & december 15, 1965 & 113 \\
13 & 1 & 14 & "affair in t'sien cha" & sheldon leonard & morton fine & david friedkin & december 29, 1965 & 114 \\
14 & 16 & 15 & "the tiger" & paul wendkos & robert culp & january 5, 1966 & 115 \\
15 & 17 & 16 & "the barter" & allen reisner & harvey bullock & p.s. allen & january 12, 1966 & 116 \\
16 & 15 & 17 & "always say goodbye" & allen reisner & robert c. dennis & earl barrett & january 26, 1966 & 117 \\
17 & 18 & 18 & "court of the lion" & robert culp & robert culp & february 2, 1966 & 118 \\
18 & 19 & 19 & "turkish delight" & paul wendkos & eric bercovici & february 9, 1966 & 119 \\
19 & 20 & 20 & "bet me a dollar" & richard sarafian & david friedkin & morton fine & february 16, 1966 & 120 \\
20 & 21 & 21 & "return to glory" & robert sarafian & david friedkin & morton fine & february 23, 1966 & 121 \\
21 & 22 & 22 & "the conquest of maude murdock" & paul wendkos & robert c. dennis & earl barrett & march 2, 1966 & 122 \\
22 & 23 & 23 & "a day called 4 jaguar" & richard sarafian & michael zagar & march 9, 1966 & 123 \\
23 & 25 & 24 & "crusade to limbo" & richard sarafian & teleplay by: morton fine & david freidkin & jack turley story by: jack turley & march 23, 1966 & 124 \\
24 & 26 & 25 & "my mother, the spy" & richard benedict & howard gast & march 30, 1966 & 125 \\
25 & 27 & 26 & "there was a little girl" & john rich & teleplay by: stephen kandell story by: robert bloch & april 6, 1966 & 126 \\
26 & 28 & 27 & "it's all done with mirrors" & robert butler & stephen kandell & april 13, 1966 & 127 \\
27 & 24 & 28 & "one thousand fine" & paul wendkos & eric bercovici & april 27, 1966 & 128 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& title \\
\midrule
0 & "always say goodbye" \\
\bottomrule
\end{tabular}
| select title where no. in series = 15 <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>3</td>
<td>1</td>
<td>"so long, patrick henry"</td>
<td>leo penn</td>
<td>robert culp</td>
<td>september 15, 1965</td>
<td>101</td>
</tr>
<tr>
<th>1</th>
<td>5</td>
<td>2</td>
<td>"a cup of kindness"</td>
<td>leo penn</td>
<td>morton fine & david friedkin</td>
<td>september 22, 1965</td>
<td>102</td>
</tr>
<tr>
<th>2</th>
<td>2</td>
<td>3</td>
<td>"carry me back to old tsing-tao"</td>
<td>mark rydell</td>
<td>david karp</td>
<td>september 29, 1965</td>
<td>103</td>
</tr>
<tr>
<th>3</th>
<td>6</td>
<td>4</td>
<td>"chrysanthemum"</td>
<td>david friedkin</td>
<td>edward j. lakso</td>
<td>october 6, 1965</td>
<td>104</td>
</tr>
<tr>
<th>4</th>
<td>7</td>
<td>5</td>
<td>"dragon's teeth"</td>
<td>leo penn</td>
<td>gilbert ralston</td>
<td>october 13, 1965</td>
<td>105</td>
</tr>
<tr>
<th>5</th>
<td>8</td>
<td>6</td>
<td>"the loser"</td>
<td>mark rydell</td>
<td>robert culp</td>
<td>october 20, 1965</td>
<td>106</td>
</tr>
<tr>
<th>6</th>
<td>4</td>
<td>7</td>
<td>"danny was a million laughs"</td>
<td>mark rydell</td>
<td>arthur dales</td>
<td>october 27, 1965</td>
<td>107</td>
</tr>
<tr>
<th>7</th>
<td>10</td>
<td>8</td>
<td>"the time of the knife"</td>
<td>paul wendkos</td>
<td>gilbert ralston</td>
<td>november 3, 1965</td>
<td>108</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>9</td>
<td>"no exchange on damaged merchandise"</td>
<td>leo penn</td>
<td>gary marshall & jerry belson</td>
<td>november 10, 1965</td>
<td>109</td>
</tr>
<tr>
<th>9</th>
<td>11</td>
<td>10</td>
<td>"tatia"</td>
<td>david friedkin</td>
<td>robert lewin</td>
<td>november 17, 1965</td>
<td>110</td>
</tr>
<tr>
<th>10</th>
<td>12</td>
<td>11</td>
<td>"weight of the world"</td>
<td>paul wendkos</td>
<td>robert lewin</td>
<td>december 1, 1965</td>
<td>111</td>
</tr>
<tr>
<th>11</th>
<td>14</td>
<td>12</td>
<td>"three hours on a sunday"</td>
<td>paul wendkos</td>
<td>morton fine & david friedkin</td>
<td>december 8, 1965</td>
<td>112</td>
</tr>
<tr>
<th>12</th>
<td>13</td>
<td>13</td>
<td>"tigers of heaven"</td>
<td>allen reisner</td>
<td>morton fine & david friedkin</td>
<td>december 15, 1965</td>
<td>113</td>
</tr>
<tr>
<th>13</th>
<td>1</td>
<td>14</td>
<td>"affair in t'sien cha"</td>
<td>sheldon leonard</td>
<td>morton fine & david friedkin</td>
<td>december 29, 1965</td>
<td>114</td>
</tr>
<tr>
<th>14</th>
<td>16</td>
<td>15</td>
<td>"the tiger"</td>
<td>paul wendkos</td>
<td>robert culp</td>
<td>january 5, 1966</td>
<td>115</td>
</tr>
<tr>
<th>15</th>
<td>17</td>
<td>16</td>
<td>"the barter"</td>
<td>allen reisner</td>
<td>harvey bullock & p.s. allen</td>
<td>january 12, 1966</td>
<td>116</td>
</tr>
<tr>
<th>16</th>
<td>15</td>
<td>17</td>
<td>"always say goodbye"</td>
<td>allen reisner</td>
<td>robert c. dennis & earl barrett</td>
<td>january 26, 1966</td>
<td>117</td>
</tr>
<tr>
<th>17</th>
<td>18</td>
<td>18</td>
<td>"court of the lion"</td>
<td>robert culp</td>
<td>robert culp</td>
<td>february 2, 1966</td>
<td>118</td>
</tr>
<tr>
<th>18</th>
<td>19</td>
<td>19</td>
<td>"turkish delight"</td>
<td>paul wendkos</td>
<td>eric bercovici</td>
<td>february 9, 1966</td>
<td>119</td>
</tr>
<tr>
<th>19</th>
<td>20</td>
<td>20</td>
<td>"bet me a dollar"</td>
<td>richard sarafian</td>
<td>david friedkin & morton fine</td>
<td>february 16, 1966</td>
<td>120</td>
</tr>
<tr>
<th>20</th>
<td>21</td>
<td>21</td>
<td>"return to glory"</td>
<td>robert sarafian</td>
<td>david friedkin & morton fine</td>
<td>february 23, 1966</td>
<td>121</td>
</tr>
<tr>
<th>21</th>
<td>22</td>
<td>22</td>
<td>"the conquest of maude murdock"</td>
<td>paul wendkos</td>
<td>robert c. dennis & earl barrett</td>
<td>march 2, 1966</td>
<td>122</td>
</tr>
<tr>
<th>22</th>
<td>23</td>
<td>23</td>
<td>"a day called 4 jaguar"</td>
<td>richard sarafian</td>
<td>michael zagar</td>
<td>march 9, 1966</td>
<td>123</td>
</tr>
<tr>
<th>23</th>
<td>25</td>
<td>24</td>
<td>"crusade to limbo"</td>
<td>richard sarafian</td>
<td>teleplay by: morton fine & david freidkin & jack turley story by: jack turley</td>
<td>march 23, 1966</td>
<td>124</td>
</tr>
<tr>
<th>24</th>
<td>26</td>
<td>25</td>
<td>"my mother, the spy"</td>
<td>richard benedict</td>
<td>howard gast</td>
<td>march 30, 1966</td>
<td>125</td>
</tr>
<tr>
<th>25</th>
<td>27</td>
<td>26</td>
<td>"there was a little girl"</td>
<td>john rich</td>
<td>teleplay by: stephen kandell story by: robert bloch</td>
<td>april 6, 1966</td>
<td>126</td>
</tr>
<tr>
<th>26</th>
<td>28</td>
<td>27</td>
<td>"it's all done with mirrors"</td>
<td>robert butler</td>
<td>stephen kandell</td>
<td>april 13, 1966</td>
<td>127</td>
</tr>
<tr>
<th>27</th>
<td>24</td>
<td>28</td>
<td>"one thousand fine"</td>
<td>paul wendkos</td>
<td>eric bercovici</td>
<td>april 27, 1966</td>
<td>128</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>"always say goodbye"</td>
</tr>
</tbody>
</table> | select title where no. in series = 15 <table_name> : table | | no. in series | no. in season | title | directed by | written by | original air date | prod. code |
|---:|----------------:|----------------:|:-------------------------------------|:-----------------|:------------------------------------------------------------------------------|:--------------------|-------------:|
| 0 | 3 | 1 | "so long, patrick henry" | leo penn | robert culp | september 15, 1965 | 101 |
| 1 | 5 | 2 | "a cup of kindness" | leo penn | morton fine & david friedkin | september 22, 1965 | 102 |
| 2 | 2 | 3 | "carry me back to old tsing-tao" | mark rydell | david karp | september 29, 1965 | 103 |
| 3 | 6 | 4 | "chrysanthemum" | david friedkin | edward j. lakso | october 6, 1965 | 104 |
| 4 | 7 | 5 | "dragon's teeth" | leo penn | gilbert ralston | october 13, 1965 | 105 |
| 5 | 8 | 6 | "the loser" | mark rydell | robert culp | october 20, 1965 | 106 |
| 6 | 4 | 7 | "danny was a million laughs" | mark rydell | arthur dales | october 27, 1965 | 107 |
| 7 | 10 | 8 | "the time of the knife" | paul wendkos | gilbert ralston | november 3, 1965 | 108 |
| 8 | 9 | 9 | "no exchange on damaged merchandise" | leo penn | gary marshall & jerry belson | november 10, 1965 | 109 |
| 9 | 11 | 10 | "tatia" | david friedkin | robert lewin | november 17, 1965 | 110 |
| 10 | 12 | 11 | "weight of the world" | paul wendkos | robert lewin | december 1, 1965 | 111 |
| 11 | 14 | 12 | "three hours on a sunday" | paul wendkos | morton fine & david friedkin | december 8, 1965 | 112 |
| 12 | 13 | 13 | "tigers of heaven" | allen reisner | morton fine & david friedkin | december 15, 1965 | 113 |
| 13 | 1 | 14 | "affair in t'sien cha" | sheldon leonard | morton fine & david friedkin | december 29, 1965 | 114 |
| 14 | 16 | 15 | "the tiger" | paul wendkos | robert culp | january 5, 1966 | 115 |
| 15 | 17 | 16 | "the barter" | allen reisner | harvey bullock & p.s. allen | january 12, 1966 | 116 |
| 16 | 15 | 17 | "always say goodbye" | allen reisner | robert c. dennis & earl barrett | january 26, 1966 | 117 |
| 17 | 18 | 18 | "court of the lion" | robert culp | robert culp | february 2, 1966 | 118 |
| 18 | 19 | 19 | "turkish delight" | paul wendkos | eric bercovici | february 9, 1966 | 119 |
| 19 | 20 | 20 | "bet me a dollar" | richard sarafian | david friedkin & morton fine | february 16, 1966 | 120 |
| 20 | 21 | 21 | "return to glory" | robert sarafian | david friedkin & morton fine | february 23, 1966 | 121 |
| 21 | 22 | 22 | "the conquest of maude murdock" | paul wendkos | robert c. dennis & earl barrett | march 2, 1966 | 122 |
| 22 | 23 | 23 | "a day called 4 jaguar" | richard sarafian | michael zagar | march 9, 1966 | 123 |
| 23 | 25 | 24 | "crusade to limbo" | richard sarafian | teleplay by: morton fine & david freidkin & jack turley story by: jack turley | march 23, 1966 | 124 |
| 24 | 26 | 25 | "my mother, the spy" | richard benedict | howard gast | march 30, 1966 | 125 |
| 25 | 27 | 26 | "there was a little girl" | john rich | teleplay by: stephen kandell story by: robert bloch | april 6, 1966 | 126 |
| 26 | 28 | 27 | "it's all done with mirrors" | robert butler | stephen kandell | april 13, 1966 | 127 |
| 27 | 24 | 28 | "one thousand fine" | paul wendkos | eric bercovici | april 27, 1966 | 128 | | | | title |
|---:|:---------------------|
| 0 | "always say goodbye" | | [
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select season where fast laps = 0 col : season | series | team | races | wins | poles | fast laps | points | pos. row 1 : 2001 | formula one | prost | none | none | none | none | none | test driver row 2 : 2001 | formula 3000 international | gd racing | 4 | 0 | 0 | 0 | 0 | nc row 3 : 2001 | world series by nissan | gd racing | 6 | 0 | 0 | 1 | 51 | 9th row 4 : 2002 | world series by nissan | gd racing | 6 | 0 | 0 | 0 | 30 | 13th row 5 : 2003 | world series by nissan | gd racing | 2 | 0 | 0 | 0 | 0 | nc row 6 : 2006 | formula one | renault | none | none | none | none | none | test driver row 7 : 2007-08 | a1 grand prix | a1 team france | 2 | 0 | 0 | 0 | 0 | 4th | col : season row 1 : 2001 row 2 : 2002 row 3 : 2003 row 4 : 2007-08 | select season where fast laps = 0 <table_name> : table \begin{tabular}{llllllllll}
\toprule
& season & series & team & races & wins & poles & fast laps & points & pos. \\
\midrule
0 & 2001 & formula one & prost & none & none & none & none & none & test driver \\
1 & 2001 & formula 3000 international & gd racing & 4 & 0 & 0 & 0 & 0 & nc \\
2 & 2001 & world series by nissan & gd racing & 6 & 0 & 0 & 1 & 51 & 9th \\
3 & 2002 & world series by nissan & gd racing & 6 & 0 & 0 & 0 & 30 & 13th \\
4 & 2003 & world series by nissan & gd racing & 2 & 0 & 0 & 0 & 0 & nc \\
5 & 2006 & formula one & renault & none & none & none & none & none & test driver \\
6 & 2007-08 & a1 grand prix & a1 team france & 2 & 0 & 0 & 0 & 0 & 4th \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& season \\
\midrule
0 & 2001 \\
1 & 2002 \\
2 & 2003 \\
3 & 2007-08 \\
\bottomrule
\end{tabular}
| select season where fast laps = 0 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
<th>series</th>
<th>team</th>
<th>races</th>
<th>wins</th>
<th>poles</th>
<th>fast laps</th>
<th>points</th>
<th>pos.</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2001</td>
<td>formula one</td>
<td>prost</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>test driver</td>
</tr>
<tr>
<th>1</th>
<td>2001</td>
<td>formula 3000 international</td>
<td>gd racing</td>
<td>4</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>nc</td>
</tr>
<tr>
<th>2</th>
<td>2001</td>
<td>world series by nissan</td>
<td>gd racing</td>
<td>6</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>51</td>
<td>9th</td>
</tr>
<tr>
<th>3</th>
<td>2002</td>
<td>world series by nissan</td>
<td>gd racing</td>
<td>6</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>30</td>
<td>13th</td>
</tr>
<tr>
<th>4</th>
<td>2003</td>
<td>world series by nissan</td>
<td>gd racing</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>nc</td>
</tr>
<tr>
<th>5</th>
<td>2006</td>
<td>formula one</td>
<td>renault</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>test driver</td>
</tr>
<tr>
<th>6</th>
<td>2007-08</td>
<td>a1 grand prix</td>
<td>a1 team france</td>
<td>2</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>0</td>
<td>4th</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>season</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>2001</td>
</tr>
<tr>
<th>1</th>
<td>2002</td>
</tr>
<tr>
<th>2</th>
<td>2003</td>
</tr>
<tr>
<th>3</th>
<td>2007-08</td>
</tr>
</tbody>
</table> | select season where fast laps = 0 <table_name> : table | | season | series | team | races | wins | poles | fast laps | points | pos. |
|---:|:---------|:---------------------------|:---------------|:--------|:-------|:--------|:------------|:---------|:------------|
| 0 | 2001 | formula one | prost | none | none | none | none | none | test driver |
| 1 | 2001 | formula 3000 international | gd racing | 4 | 0 | 0 | 0 | 0 | nc |
| 2 | 2001 | world series by nissan | gd racing | 6 | 0 | 0 | 1 | 51 | 9th |
| 3 | 2002 | world series by nissan | gd racing | 6 | 0 | 0 | 0 | 30 | 13th |
| 4 | 2003 | world series by nissan | gd racing | 2 | 0 | 0 | 0 | 0 | nc |
| 5 | 2006 | formula one | renault | none | none | none | none | none | test driver |
| 6 | 2007-08 | a1 grand prix | a1 team france | 2 | 0 | 0 | 0 | 0 | 4th | | | | season |
|---:|:---------|
| 0 | 2001 |
| 1 | 2002 |
| 2 | 2003 |
| 3 | 2007-08 | | [
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select count ( * ) where nation = 'spain' col : rank | nation | gold | silver | bronze | total row 1 : 1 | malaysia | 3 | 0 | 1 | 4 row 2 : 2 | indonesia | 1 | 3 | 2 | 6 row 3 : 3 | korea | 1 | 1 | 2 | 4 row 4 : 4 | thailand | 1 | 0 | 0 | 1 row 5 : 5 | chinese taipei | 0 | 1 | 2 | 3 row 6 : 6 | denmark | 0 | 1 | 0 | 1 row 7 : 7 | japan | 0 | 0 | 2 | 2 row 8 : 8 | india | 0 | 0 | 1 | 1 row 9 : 9 | spain | 0 | 0 | 1 | 1 | col : count ( "*" ) row 1 : 1 | select count ( * ) where nation = 'spain' <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & malaysia & 3 & 0 & 1 & 4 \\
1 & 2 & indonesia & 1 & 3 & 2 & 6 \\
2 & 3 & korea & 1 & 1 & 2 & 4 \\
3 & 4 & thailand & 1 & 0 & 0 & 1 \\
4 & 5 & chinese taipei & 0 & 1 & 2 & 3 \\
5 & 6 & denmark & 0 & 1 & 0 & 1 \\
6 & 7 & japan & 0 & 0 & 2 & 2 \\
7 & 8 & india & 0 & 0 & 1 & 1 \\
8 & 9 & spain & 0 & 0 & 1 & 1 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select count ( * ) where nation = 'spain' <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>malaysia</td>
<td>3</td>
<td>0</td>
<td>1</td>
<td>4</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>indonesia</td>
<td>1</td>
<td>3</td>
<td>2</td>
<td>6</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>korea</td>
<td>1</td>
<td>1</td>
<td>2</td>
<td>4</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>thailand</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>chinese taipei</td>
<td>0</td>
<td>1</td>
<td>2</td>
<td>3</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>denmark</td>
<td>0</td>
<td>1</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>japan</td>
<td>0</td>
<td>0</td>
<td>2</td>
<td>2</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>india</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>8</th>
<td>9</td>
<td>spain</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>count ( "*" )</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
</tr>
</tbody>
</table> | select count ( * ) where nation = 'spain' <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|-------:|:---------------|-------:|---------:|---------:|--------:|
| 0 | 1 | malaysia | 3 | 0 | 1 | 4 |
| 1 | 2 | indonesia | 1 | 3 | 2 | 6 |
| 2 | 3 | korea | 1 | 1 | 2 | 4 |
| 3 | 4 | thailand | 1 | 0 | 0 | 1 |
| 4 | 5 | chinese taipei | 0 | 1 | 2 | 3 |
| 5 | 6 | denmark | 0 | 1 | 0 | 1 |
| 6 | 7 | japan | 0 | 0 | 2 | 2 |
| 7 | 8 | india | 0 | 0 | 1 | 1 |
| 8 | 9 | spain | 0 | 0 | 1 | 1 | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 1 | | [
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select country where 2002 = 29900 col : country | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 row 1 : australia | 160 | 230 | 290 | 230 | 200 | 200 | 200 | none | none | none | none | none row 2 : brazil | 30000 | 22000 | 26000 | 29000 | 29900 | 35000 | 40000 | 57300 | 58000 | 58000 | 58000 | 58000 row 3 : canada | 2290 | 3200 | 3410 | 3280 | 3400 | 3310 | 4167 | 3020 | 4380 | 4330 | 4420 | 4400 row 4 : congo d.r | none | 50 | 50 | 13 | 52 | 25 | none | none | none | none | none | none row 5 : mozambique | none | none | 5 | 34 | 130 | 34 | 29 | none | none | none | none | none row 6 : nigeria | 35 | 30 | 30 | 190 | 170 | 40 | 35 | none | none | none | none | none row 7 : rwanda | 28 | 120 | 76 | 22 | 63 | 63 | 80 | none | none | none | none | none row 8 : world | 32600 | 25600 | 29900 | 32800 | 34000 | 38700 | 44500 | 60400 | 62900 | 62900 | 62900 | 63000 | col : count ( "country" ) row 1 : 1 | select country where 2002 = 29900 <table_name> : table \begin{tabular}{llllllllllllll}
\toprule
& country & 2000 & 2001 & 2002 & 2003 & 2004 & 2005 & 2006 & 2007 & 2008 & 2009 & 2010 & 2011 \\
\midrule
0 & australia & 160 & 230 & 290 & 230 & 200 & 200 & 200 & none & none & none & none & none \\
1 & brazil & 30000 & 22000 & 26000 & 29000 & 29900 & 35000 & 40000 & 57300 & 58000 & 58000 & 58000 & 58000 \\
2 & canada & 2290 & 3200 & 3410 & 3280 & 3400 & 3310 & 4167 & 3020 & 4380 & 4330 & 4420 & 4400 \\
3 & congo d.r & none & 50 & 50 & 13 & 52 & 25 & none & none & none & none & none & none \\
4 & mozambique & none & none & 5 & 34 & 130 & 34 & 29 & none & none & none & none & none \\
5 & nigeria & 35 & 30 & 30 & 190 & 170 & 40 & 35 & none & none & none & none & none \\
6 & rwanda & 28 & 120 & 76 & 22 & 63 & 63 & 80 & none & none & none & none & none \\
7 & world & 32600 & 25600 & 29900 & 32800 & 34000 & 38700 & 44500 & 60400 & 62900 & 62900 & 62900 & 63000 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "country" ) \\
\midrule
0 & 1 \\
\bottomrule
\end{tabular}
| select country where 2002 = 29900 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>country</th>
<th>2000</th>
<th>2001</th>
<th>2002</th>
<th>2003</th>
<th>2004</th>
<th>2005</th>
<th>2006</th>
<th>2007</th>
<th>2008</th>
<th>2009</th>
<th>2010</th>
<th>2011</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>australia</td>
<td>160</td>
<td>230</td>
<td>290</td>
<td>230</td>
<td>200</td>
<td>200</td>
<td>200</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>1</th>
<td>brazil</td>
<td>30000</td>
<td>22000</td>
<td>26000</td>
<td>29000</td>
<td>29900</td>
<td>35000</td>
<td>40000</td>
<td>57300</td>
<td>58000</td>
<td>58000</td>
<td>58000</td>
<td>58000</td>
</tr>
<tr>
<th>2</th>
<td>canada</td>
<td>2290</td>
<td>3200</td>
<td>3410</td>
<td>3280</td>
<td>3400</td>
<td>3310</td>
<td>4167</td>
<td>3020</td>
<td>4380</td>
<td>4330</td>
<td>4420</td>
<td>4400</td>
</tr>
<tr>
<th>3</th>
<td>congo d.r</td>
<td>none</td>
<td>50</td>
<td>50</td>
<td>13</td>
<td>52</td>
<td>25</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>4</th>
<td>mozambique</td>
<td>none</td>
<td>none</td>
<td>5</td>
<td>34</td>
<td>130</td>
<td>34</td>
<td>29</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>5</th>
<td>nigeria</td>
<td>35</td>
<td>30</td>
<td>30</td>
<td>190</td>
<td>170</td>
<td>40</td>
<td>35</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>6</th>
<td>rwanda</td>
<td>28</td>
<td>120</td>
<td>76</td>
<td>22</td>
<td>63</td>
<td>63</td>
<td>80</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>world</td>
<td>32600</td>
<td>25600</td>
<td>29900</td>
<td>32800</td>
<td>34000</td>
<td>38700</td>
<td>44500</td>
<td>60400</td>
<td>62900</td>
<td>62900</td>
<td>62900</td>
<td>63000</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 2002 = 29900 <table_name> : table | | country | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 |
|---:|:-----------|:-------|:-------|-------:|-------:|-------:|-------:|:-------|:-------|:-------|:-------|:-------|:-------|
| 0 | australia | 160 | 230 | 290 | 230 | 200 | 200 | 200 | none | none | none | none | none |
| 1 | brazil | 30000 | 22000 | 26000 | 29000 | 29900 | 35000 | 40000 | 57300 | 58000 | 58000 | 58000 | 58000 |
| 2 | canada | 2290 | 3200 | 3410 | 3280 | 3400 | 3310 | 4167 | 3020 | 4380 | 4330 | 4420 | 4400 |
| 3 | congo d.r | none | 50 | 50 | 13 | 52 | 25 | none | none | none | none | none | none |
| 4 | mozambique | none | none | 5 | 34 | 130 | 34 | 29 | none | none | none | none | none |
| 5 | nigeria | 35 | 30 | 30 | 190 | 170 | 40 | 35 | none | none | none | none | none |
| 6 | rwanda | 28 | 120 | 76 | 22 | 63 | 63 | 80 | none | none | none | none | none |
| 7 | world | 32600 | 25600 | 29900 | 32800 | 34000 | 38700 | 44500 | 60400 | 62900 | 62900 | 62900 | 63000 | | | | count ( "country" ) |
|---:|----------------------:|
| 0 | 1 | | [
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select nation where total = 36 col : rank | nation | gold | silver | bronze | total row 1 : 1 | cuba | 4 | 3 | 2 | 9 row 2 : 2 | canada | 4 | 2 | 1 | 7 row 3 : 3 | united states | 2 | 0 | 2 | 4 row 4 : 4 | mexico | 1 | 1 | 0 | 2 row 5 : 5 | ecuador | 1 | 0 | 0 | 1 row 6 : 6 | argentina | 0 | 4 | 3 | 7 row 7 : 7 | brazil | 0 | 2 | 2 | 4 row 8 : 8 | chile | 0 | 0 | 1 | 1 row 9 : 8 | venezuela | 0 | 0 | 1 | 1 row 10 : total | total | 12 | 12 | 12 | 36 | col : nation row 1 : total | select nation where total = 36 <table_name> : table \begin{tabular}{lllllll}
\toprule
& rank & nation & gold & silver & bronze & total \\
\midrule
0 & 1 & cuba & 4 & 3 & 2 & 9 \\
1 & 2 & canada & 4 & 2 & 1 & 7 \\
2 & 3 & united states & 2 & 0 & 2 & 4 \\
3 & 4 & mexico & 1 & 1 & 0 & 2 \\
4 & 5 & ecuador & 1 & 0 & 0 & 1 \\
5 & 6 & argentina & 0 & 4 & 3 & 7 \\
6 & 7 & brazil & 0 & 2 & 2 & 4 \\
7 & 8 & chile & 0 & 0 & 1 & 1 \\
8 & 8 & venezuela & 0 & 0 & 1 & 1 \\
9 & total & total & 12 & 12 & 12 & 36 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& nation \\
\midrule
0 & total \\
\bottomrule
\end{tabular}
| select nation where total = 36 <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>cuba</td>
<td>4</td>
<td>3</td>
<td>2</td>
<td>9</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>canada</td>
<td>4</td>
<td>2</td>
<td>1</td>
<td>7</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>united states</td>
<td>2</td>
<td>0</td>
<td>2</td>
<td>4</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>mexico</td>
<td>1</td>
<td>1</td>
<td>0</td>
<td>2</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>ecuador</td>
<td>1</td>
<td>0</td>
<td>0</td>
<td>1</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>argentina</td>
<td>0</td>
<td>4</td>
<td>3</td>
<td>7</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>brazil</td>
<td>0</td>
<td>2</td>
<td>2</td>
<td>4</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>chile</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>8</th>
<td>8</td>
<td>venezuela</td>
<td>0</td>
<td>0</td>
<td>1</td>
<td>1</td>
</tr>
<tr>
<th>9</th>
<td>total</td>
<td>total</td>
<td>12</td>
<td>12</td>
<td>12</td>
<td>36</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>total</td>
</tr>
</tbody>
</table> | select nation where total = 36 <table_name> : table | | rank | nation | gold | silver | bronze | total |
|---:|:-------|:--------------|-------:|---------:|---------:|--------:|
| 0 | 1 | cuba | 4 | 3 | 2 | 9 |
| 1 | 2 | canada | 4 | 2 | 1 | 7 |
| 2 | 3 | united states | 2 | 0 | 2 | 4 |
| 3 | 4 | mexico | 1 | 1 | 0 | 2 |
| 4 | 5 | ecuador | 1 | 0 | 0 | 1 |
| 5 | 6 | argentina | 0 | 4 | 3 | 7 |
| 6 | 7 | brazil | 0 | 2 | 2 | 4 |
| 7 | 8 | chile | 0 | 0 | 1 | 1 |
| 8 | 8 | venezuela | 0 | 0 | 1 | 1 |
| 9 | total | total | 12 | 12 | 12 | 36 | | | | nation |
|---:|:---------|
| 0 | total | | [
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select count ( * ) where withdrawn = 1690 col : number | builder | entered service | withdrawn | notes row 1 : 439 | nzr addington | 9-1-1909 | 2-3-1957 | converted to 4-cylinder simple, 6-1949 row 2 : 440 | nzr addington | 25-3-1909 | 2-3-1957 | converted to 4-cylinder simple, 7-1948 row 3 : 441 | nzr addington | 10-5-1909 | 2-3-1957 | none row 4 : 442 | nzr addington | 10-7-1909 | 4-3-1944 | converted to 4-cylinder simple, 6-1943. in use ohai railway board 1944-1968. preserved at feilding and district steam rail society row 5 : 443 | nzr addington | 1-12-1909 | 2-3-1957 | converted to 4-cylinder simple, 7-1947 row 6 : 444 | nzr addington | 3-2-1910 | 2-3-1957 | converted to 4-cylinder simple, 12-1949 row 7 : 445 | nzr addington | 24-5-1910 | 26-5-1949 | none row 8 : 446 | nzr addington | 30-4-1910 | 6-12-1946 | converted to 4-cylinder simple, 12-1946. in use ohai railway board 1946-1959 row 9 : 588 | nzr addington | 14-10-1913 | 2-3-1957 | converted to 4-cylinder simple, 5-1951 row 10 : 589 | nzr addington | 11-11-1949 | 6-1949 | none row 11 : 590 | nzr addington | 27-1-1914 | 2-3-1957 | none row 12 : 591 | nzr addington | 17-3-1914 | 2-3-1957 | converted to 4-cylinder simple, 12-1950 row 13 : 592 | nzr addington | 22-6-1914 | 2-3-1957 | converted to 4-cylinder simple, 10-1950 row 14 : 593 | nzr addington | 3-9-1914 | 2-3-1957 | converted to 4-cylinder simple, 6-1950 row 15 : 594 | nzr addington | 31-10-1914 | 2-3-1957 | converted to 4-cylinder simple, 5-1945 row 16 : 595 | nzr addington | 3-12-1914 | 2-3-1957 | none row 17 : 596 | nzr addington | 26-1-1915 | 2-3-1957 | converted to 4-cylinder simple, 12-1949 row 18 : 597 | nzr addington | 1-4-1915 | 2-3-1957 | none | col : count ( "*" ) row 1 : 0 | select count ( * ) where withdrawn = 1690 <table_name> : table \begin{tabular}{llllll}
\toprule
& number & builder & entered service & withdrawn & notes \\
\midrule
0 & 439 & nzr addington & 9-1-1909 & 2-3-1957 & converted to 4-cylinder simple, 6-1949 \\
1 & 440 & nzr addington & 25-3-1909 & 2-3-1957 & converted to 4-cylinder simple, 7-1948 \\
2 & 441 & nzr addington & 10-5-1909 & 2-3-1957 & none \\
3 & 442 & nzr addington & 10-7-1909 & 4-3-1944 & converted to 4-cylinder simple, 6-1943. in use ohai railway board 1944-1968. preserved at feilding and district steam rail society \\
4 & 443 & nzr addington & 1-12-1909 & 2-3-1957 & converted to 4-cylinder simple, 7-1947 \\
5 & 444 & nzr addington & 3-2-1910 & 2-3-1957 & converted to 4-cylinder simple, 12-1949 \\
6 & 445 & nzr addington & 24-5-1910 & 26-5-1949 & none \\
7 & 446 & nzr addington & 30-4-1910 & 6-12-1946 & converted to 4-cylinder simple, 12-1946. in use ohai railway board 1946-1959 \\
8 & 588 & nzr addington & 14-10-1913 & 2-3-1957 & converted to 4-cylinder simple, 5-1951 \\
9 & 589 & nzr addington & 11-11-1949 & 6-1949 & none \\
10 & 590 & nzr addington & 27-1-1914 & 2-3-1957 & none \\
11 & 591 & nzr addington & 17-3-1914 & 2-3-1957 & converted to 4-cylinder simple, 12-1950 \\
12 & 592 & nzr addington & 22-6-1914 & 2-3-1957 & converted to 4-cylinder simple, 10-1950 \\
13 & 593 & nzr addington & 3-9-1914 & 2-3-1957 & converted to 4-cylinder simple, 6-1950 \\
14 & 594 & nzr addington & 31-10-1914 & 2-3-1957 & converted to 4-cylinder simple, 5-1945 \\
15 & 595 & nzr addington & 3-12-1914 & 2-3-1957 & none \\
16 & 596 & nzr addington & 26-1-1915 & 2-3-1957 & converted to 4-cylinder simple, 12-1949 \\
17 & 597 & nzr addington & 1-4-1915 & 2-3-1957 & none \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& count ( "*" ) \\
\midrule
0 & 0 \\
\bottomrule
\end{tabular}
| select count ( * ) where withdrawn = 1690 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>number</th>
<th>builder</th>
<th>entered service</th>
<th>withdrawn</th>
<th>notes</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>439</td>
<td>nzr addington</td>
<td>9-1-1909</td>
<td>2-3-1957</td>
<td>converted to 4-cylinder simple, 6-1949</td>
</tr>
<tr>
<th>1</th>
<td>440</td>
<td>nzr addington</td>
<td>25-3-1909</td>
<td>2-3-1957</td>
<td>converted to 4-cylinder simple, 7-1948</td>
</tr>
<tr>
<th>2</th>
<td>441</td>
<td>nzr addington</td>
<td>10-5-1909</td>
<td>2-3-1957</td>
<td>none</td>
</tr>
<tr>
<th>3</th>
<td>442</td>
<td>nzr addington</td>
<td>10-7-1909</td>
<td>4-3-1944</td>
<td>converted to 4-cylinder simple, 6-1943. in use ohai railway board 1944-1968. preserved at feilding and district steam rail society</td>
</tr>
<tr>
<th>4</th>
<td>443</td>
<td>nzr addington</td>
<td>1-12-1909</td>
<td>2-3-1957</td>
<td>converted to 4-cylinder simple, 7-1947</td>
</tr>
<tr>
<th>5</th>
<td>444</td>
<td>nzr addington</td>
<td>3-2-1910</td>
<td>2-3-1957</td>
<td>converted to 4-cylinder simple, 12-1949</td>
</tr>
<tr>
<th>6</th>
<td>445</td>
<td>nzr addington</td>
<td>24-5-1910</td>
<td>26-5-1949</td>
<td>none</td>
</tr>
<tr>
<th>7</th>
<td>446</td>
<td>nzr addington</td>
<td>30-4-1910</td>
<td>6-12-1946</td>
<td>converted to 4-cylinder simple, 12-1946. in use ohai railway board 1946-1959</td>
</tr>
<tr>
<th>8</th>
<td>588</td>
<td>nzr addington</td>
<td>14-10-1913</td>
<td>2-3-1957</td>
<td>converted to 4-cylinder simple, 5-1951</td>
</tr>
<tr>
<th>9</th>
<td>589</td>
<td>nzr addington</td>
<td>11-11-1949</td>
<td>6-1949</td>
<td>none</td>
</tr>
<tr>
<th>10</th>
<td>590</td>
<td>nzr addington</td>
<td>27-1-1914</td>
<td>2-3-1957</td>
<td>none</td>
</tr>
<tr>
<th>11</th>
<td>591</td>
<td>nzr addington</td>
<td>17-3-1914</td>
<td>2-3-1957</td>
<td>converted to 4-cylinder simple, 12-1950</td>
</tr>
<tr>
<th>12</th>
<td>592</td>
<td>nzr addington</td>
<td>22-6-1914</td>
<td>2-3-1957</td>
<td>converted to 4-cylinder simple, 10-1950</td>
</tr>
<tr>
<th>13</th>
<td>593</td>
<td>nzr addington</td>
<td>3-9-1914</td>
<td>2-3-1957</td>
<td>converted to 4-cylinder simple, 6-1950</td>
</tr>
<tr>
<th>14</th>
<td>594</td>
<td>nzr addington</td>
<td>31-10-1914</td>
<td>2-3-1957</td>
<td>converted to 4-cylinder simple, 5-1945</td>
</tr>
<tr>
<th>15</th>
<td>595</td>
<td>nzr addington</td>
<td>3-12-1914</td>
<td>2-3-1957</td>
<td>none</td>
</tr>
<tr>
<th>16</th>
<td>596</td>
<td>nzr addington</td>
<td>26-1-1915</td>
<td>2-3-1957</td>
<td>converted to 4-cylinder simple, 12-1949</td>
</tr>
<tr>
<th>17</th>
<td>597</td>
<td>nzr addington</td>
<td>1-4-1915</td>
<td>2-3-1957</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>0</td>
</tr>
</tbody>
</table> | select count ( * ) where withdrawn = 1690 <table_name> : table | | number | builder | entered service | withdrawn | notes |
|---:|---------:|:--------------|:------------------|:------------|:-----------------------------------------------------------------------------------------------------------------------------------|
| 0 | 439 | nzr addington | 9-1-1909 | 2-3-1957 | converted to 4-cylinder simple, 6-1949 |
| 1 | 440 | nzr addington | 25-3-1909 | 2-3-1957 | converted to 4-cylinder simple, 7-1948 |
| 2 | 441 | nzr addington | 10-5-1909 | 2-3-1957 | none |
| 3 | 442 | nzr addington | 10-7-1909 | 4-3-1944 | converted to 4-cylinder simple, 6-1943. in use ohai railway board 1944-1968. preserved at feilding and district steam rail society |
| 4 | 443 | nzr addington | 1-12-1909 | 2-3-1957 | converted to 4-cylinder simple, 7-1947 |
| 5 | 444 | nzr addington | 3-2-1910 | 2-3-1957 | converted to 4-cylinder simple, 12-1949 |
| 6 | 445 | nzr addington | 24-5-1910 | 26-5-1949 | none |
| 7 | 446 | nzr addington | 30-4-1910 | 6-12-1946 | converted to 4-cylinder simple, 12-1946. in use ohai railway board 1946-1959 |
| 8 | 588 | nzr addington | 14-10-1913 | 2-3-1957 | converted to 4-cylinder simple, 5-1951 |
| 9 | 589 | nzr addington | 11-11-1949 | 6-1949 | none |
| 10 | 590 | nzr addington | 27-1-1914 | 2-3-1957 | none |
| 11 | 591 | nzr addington | 17-3-1914 | 2-3-1957 | converted to 4-cylinder simple, 12-1950 |
| 12 | 592 | nzr addington | 22-6-1914 | 2-3-1957 | converted to 4-cylinder simple, 10-1950 |
| 13 | 593 | nzr addington | 3-9-1914 | 2-3-1957 | converted to 4-cylinder simple, 6-1950 |
| 14 | 594 | nzr addington | 31-10-1914 | 2-3-1957 | converted to 4-cylinder simple, 5-1945 |
| 15 | 595 | nzr addington | 3-12-1914 | 2-3-1957 | none |
| 16 | 596 | nzr addington | 26-1-1915 | 2-3-1957 | converted to 4-cylinder simple, 12-1949 |
| 17 | 597 | nzr addington | 1-4-1915 | 2-3-1957 | none | | | | count ( "*" ) |
|---:|----------------:|
| 0 | 0 | | [
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select car where points > 0 order by id limit 1 col : pos. | driver | co-driver | car | time | difference | points row 1 : 1 | sebastien loeb | daniel elena | citroen c4 wrc | 3:59:18.9 | 0 | 10 row 2 : 2 | dani sordo | marc marti | citroen c4 wrc | 3:59;36.4 | 17.5 | 8 row 3 : 3 | mikko hirvonen | jarmo lehtinen | ford focus rs wrc 08 | 4:00:00.4 | 41.5 | 6 row 4 : 4 | petter solberg | phil mills | subaru impreza wrc 2008 | 4:02:07.8 | 2:48.9 | 5 row 5 : 5 | urmo aava | kuldar sikk | citroen c4 wrc | 4:02:49.6 | 3:30.7 | 4 row 6 : 6 | pg andersson | jonas andersson | suzuki sx4 wrc | 4:06:56.3 | 7:37.4 | 3 row 7 : 7 | toni gardemeister | tomi tuominen | suzuki sx4 wrc | 4:07:13.8 | 7:54.9 | 2 row 8 : 8 | federico villagra | jorge perez companc | ford focus rs wrc 07 | 4:07:53.9 | 8:35.0 | 1 row 9 : 1. (10.) | martin prokop | jan tomanek | mitsubishi lancer evo ix | 4:13:07.9 | 0 | 10 row 10 : 2. (11.) | patrik sandell | emil axelsson | mitsubishi lancer evo ix | 4:13:44.1 | 36.2 | 8 row 11 : 3. (12.) | martin rauam | silver kutt | mitsubishi lancer evo ix | 4:14:05.7 | 57.8 | 6 | col : car row 1 : citroen c4 wrc row 2 : citroen c4 wrc row 3 : ford focus rs wrc 08 row 4 : subaru impreza wrc 2008 row 5 : citroen c4 wrc row 6 : suzuki sx4 wrc row 7 : suzuki sx4 wrc row 8 : ford focus rs wrc 07 row 9 : mitsubishi lancer evo ix row 10 : mitsubishi lancer evo ix row 11 : mitsubishi lancer evo ix | select car where points > 0 order by id limit 1 <table_name> : table \begin{tabular}{llllllll}
\toprule
& pos. & driver & co-driver & car & time & difference & points \\
\midrule
0 & 1 & sebastien loeb & daniel elena & citroen c4 wrc & 3:59:18.9 & 0 & 10 \\
1 & 2 & dani sordo & marc marti & citroen c4 wrc & 3:59;36.4 & 17.5 & 8 \\
2 & 3 & mikko hirvonen & jarmo lehtinen & ford focus rs wrc 08 & 4:00:00.4 & 41.5 & 6 \\
3 & 4 & petter solberg & phil mills & subaru impreza wrc 2008 & 4:02:07.8 & 2:48.9 & 5 \\
4 & 5 & urmo aava & kuldar sikk & citroen c4 wrc & 4:02:49.6 & 3:30.7 & 4 \\
5 & 6 & pg andersson & jonas andersson & suzuki sx4 wrc & 4:06:56.3 & 7:37.4 & 3 \\
6 & 7 & toni gardemeister & tomi tuominen & suzuki sx4 wrc & 4:07:13.8 & 7:54.9 & 2 \\
7 & 8 & federico villagra & jorge perez companc & ford focus rs wrc 07 & 4:07:53.9 & 8:35.0 & 1 \\
8 & 1. (10.) & martin prokop & jan tomanek & mitsubishi lancer evo ix & 4:13:07.9 & 0 & 10 \\
9 & 2. (11.) & patrik sandell & emil axelsson & mitsubishi lancer evo ix & 4:13:44.1 & 36.2 & 8 \\
10 & 3. (12.) & martin rauam & silver kutt & mitsubishi lancer evo ix & 4:14:05.7 & 57.8 & 6 \\
\bottomrule
\end{tabular}
| \begin{tabular}{ll}
\toprule
& car \\
\midrule
0 & citroen c4 wrc \\
1 & citroen c4 wrc \\
2 & ford focus rs wrc 08 \\
3 & subaru impreza wrc 2008 \\
4 & citroen c4 wrc \\
5 & suzuki sx4 wrc \\
6 & suzuki sx4 wrc \\
7 & ford focus rs wrc 07 \\
8 & mitsubishi lancer evo ix \\
9 & mitsubishi lancer evo ix \\
10 & mitsubishi lancer evo ix \\
\bottomrule
\end{tabular}
| select car where points > 0 order by id limit 1 <table_name> : table <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>pos.</th>
<th>driver</th>
<th>co-driver</th>
<th>car</th>
<th>time</th>
<th>difference</th>
<th>points</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>1</td>
<td>sebastien loeb</td>
<td>daniel elena</td>
<td>citroen c4 wrc</td>
<td>3:59:18.9</td>
<td>0</td>
<td>10</td>
</tr>
<tr>
<th>1</th>
<td>2</td>
<td>dani sordo</td>
<td>marc marti</td>
<td>citroen c4 wrc</td>
<td>3:59;36.4</td>
<td>17.5</td>
<td>8</td>
</tr>
<tr>
<th>2</th>
<td>3</td>
<td>mikko hirvonen</td>
<td>jarmo lehtinen</td>
<td>ford focus rs wrc 08</td>
<td>4:00:00.4</td>
<td>41.5</td>
<td>6</td>
</tr>
<tr>
<th>3</th>
<td>4</td>
<td>petter solberg</td>
<td>phil mills</td>
<td>subaru impreza wrc 2008</td>
<td>4:02:07.8</td>
<td>2:48.9</td>
<td>5</td>
</tr>
<tr>
<th>4</th>
<td>5</td>
<td>urmo aava</td>
<td>kuldar sikk</td>
<td>citroen c4 wrc</td>
<td>4:02:49.6</td>
<td>3:30.7</td>
<td>4</td>
</tr>
<tr>
<th>5</th>
<td>6</td>
<td>pg andersson</td>
<td>jonas andersson</td>
<td>suzuki sx4 wrc</td>
<td>4:06:56.3</td>
<td>7:37.4</td>
<td>3</td>
</tr>
<tr>
<th>6</th>
<td>7</td>
<td>toni gardemeister</td>
<td>tomi tuominen</td>
<td>suzuki sx4 wrc</td>
<td>4:07:13.8</td>
<td>7:54.9</td>
<td>2</td>
</tr>
<tr>
<th>7</th>
<td>8</td>
<td>federico villagra</td>
<td>jorge perez companc</td>
<td>ford focus rs wrc 07</td>
<td>4:07:53.9</td>
<td>8:35.0</td>
<td>1</td>
</tr>
<tr>
<th>8</th>
<td>1. (10.)</td>
<td>martin prokop</td>
<td>jan tomanek</td>
<td>mitsubishi lancer evo ix</td>
<td>4:13:07.9</td>
<td>0</td>
<td>10</td>
</tr>
<tr>
<th>9</th>
<td>2. (11.)</td>
<td>patrik sandell</td>
<td>emil axelsson</td>
<td>mitsubishi lancer evo ix</td>
<td>4:13:44.1</td>
<td>36.2</td>
<td>8</td>
</tr>
<tr>
<th>10</th>
<td>3. (12.)</td>
<td>martin rauam</td>
<td>silver kutt</td>
<td>mitsubishi lancer evo ix</td>
<td>4:14:05.7</td>
<td>57.8</td>
<td>6</td>
</tr>
</tbody>
</table> | <table border="1" class="dataframe">
<thead>
<tr style="text-align: right;">
<th></th>
<th>car</th>
</tr>
</thead>
<tbody>
<tr>
<th>0</th>
<td>citroen c4 wrc</td>
</tr>
<tr>
<th>1</th>
<td>citroen c4 wrc</td>
</tr>
<tr>
<th>2</th>
<td>ford focus rs wrc 08</td>
</tr>
<tr>
<th>3</th>
<td>subaru impreza wrc 2008</td>
</tr>
<tr>
<th>4</th>
<td>citroen c4 wrc</td>
</tr>
<tr>
<th>5</th>
<td>suzuki sx4 wrc</td>
</tr>
<tr>
<th>6</th>
<td>suzuki sx4 wrc</td>
</tr>
<tr>
<th>7</th>
<td>ford focus rs wrc 07</td>
</tr>
<tr>
<th>8</th>
<td>mitsubishi lancer evo ix</td>
</tr>
<tr>
<th>9</th>
<td>mitsubishi lancer evo ix</td>
</tr>
<tr>
<th>10</th>
<td>mitsubishi lancer evo ix</td>
</tr>
</tbody>
</table> | select car where points > 0 order by id limit 1 <table_name> : table | | pos. | driver | co-driver | car | time | difference | points |
|---:|:---------|:------------------|:--------------------|:-------------------------|:----------|:-------------|---------:|
| 0 | 1 | sebastien loeb | daniel elena | citroen c4 wrc | 3:59:18.9 | 0 | 10 |
| 1 | 2 | dani sordo | marc marti | citroen c4 wrc | 3:59;36.4 | 17.5 | 8 |
| 2 | 3 | mikko hirvonen | jarmo lehtinen | ford focus rs wrc 08 | 4:00:00.4 | 41.5 | 6 |
| 3 | 4 | petter solberg | phil mills | subaru impreza wrc 2008 | 4:02:07.8 | 2:48.9 | 5 |
| 4 | 5 | urmo aava | kuldar sikk | citroen c4 wrc | 4:02:49.6 | 3:30.7 | 4 |
| 5 | 6 | pg andersson | jonas andersson | suzuki sx4 wrc | 4:06:56.3 | 7:37.4 | 3 |
| 6 | 7 | toni gardemeister | tomi tuominen | suzuki sx4 wrc | 4:07:13.8 | 7:54.9 | 2 |
| 7 | 8 | federico villagra | jorge perez companc | ford focus rs wrc 07 | 4:07:53.9 | 8:35.0 | 1 |
| 8 | 1. (10.) | martin prokop | jan tomanek | mitsubishi lancer evo ix | 4:13:07.9 | 0 | 10 |
| 9 | 2. (11.) | patrik sandell | emil axelsson | mitsubishi lancer evo ix | 4:13:44.1 | 36.2 | 8 |
| 10 | 3. (12.) | martin rauam | silver kutt | mitsubishi lancer evo ix | 4:14:05.7 | 57.8 | 6 | | | | car |
|---:|:-------------------------|
| 0 | citroen c4 wrc |
| 1 | citroen c4 wrc |
| 2 | ford focus rs wrc 08 |
| 3 | subaru impreza wrc 2008 |
| 4 | citroen c4 wrc |
| 5 | suzuki sx4 wrc |
| 6 | suzuki sx4 wrc |
| 7 | ford focus rs wrc 07 |
| 8 | mitsubishi lancer evo ix |
| 9 | mitsubishi lancer evo ix |
| 10 | mitsubishi lancer evo ix | | [
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