Step 1: Select rows where 'name' is 'takamiyama'.
name |
total |
first |
last |
highest_rank |
kotonishiki |
34 |
1990-09-01 |
1999-09-01 |
sekiwake |
kaiō |
32 |
1994-05-01 |
2000-07-01 |
ōzeki |
musōyama |
31 |
1994-03-01 |
2000-09-01 |
ōzeki |
hasegawa |
30 |
1965-11-01 |
1974-09-01 |
sekiwake |
kotomitsuki |
30 |
2001-01-01 |
2007-07-01 |
ōzeki |
akinoshima |
27 |
1988-11-01 |
2000-09-01 |
sekiwake |
takamiyama |
27 |
1969-11-01 |
1982-09-01 |
sekiwake |
takatōriki |
26 |
1991-05-01 |
2000-05-01 |
sekiwake |
wakanosato |
26 |
2000-11-01 |
2005-09-01 |
sekiwake |
daikirin |
22 |
1966-11-01 |
1970-09-01 |
ōzeki |
tochiazuma ii |
22 |
1997-07-01 |
2005-01-01 |
ōzeki |
kisenosato |
22 |
2006-07-01 |
2011-09-01 |
ōzeki |
Step 2: Extract the numerical year from the 'first' column to add column 'first_year' to existing table.
name |
total |
first |
last |
highest_rank |
takamiyama |
27 |
1969-11-01 |
1982-09-01 |
sekiwake |
Step 3: Extract the numerical year from the 'last' column to add column 'last_year' to existing table.
name |
total |
first |
last |
highest_rank |
first_year |
takamiyama |
27 |
1969-11-01 |
1982-09-01 |
sekiwake |
1969 |
Step 4: Calculate the time range between the first and last record by subtracting 'last_year' from 'first_year' and add column 'time_range' to existing table.
name |
total |
first |
last |
highest_rank |
first_year |
last_year |
takamiyama |
27 |
1969-11-01 |
1982-09-01 |
sekiwake |
1969 |
1982 |
Step 5: Select rows where 'time_range' is equal to 13.
name |
total |
first |
last |
highest_rank |
first_year |
last_year |
time_range |
takamiyama |
27 |
1969-11-01 |
1982-09-01 |
sekiwake |
1969 |
1982 |
13 |
Step 6: Use a `CASE` statement to return TRUE if the number of rows is equal to 1, otherwise return FALSE.
name |
total |
first |
last |
highest_rank |
first_year |
last_year |
time_range |
takamiyama |
27 |
1969-11-01 |
1982-09-01 |
sekiwake |
1969 |
1982 |
13 |
Prediction: TRUE