Step 1: Select rows where 'rank' is 4.
| rank |
rowers |
country |
time |
notes |
| 1 |
pedro fraga , nuno mendes |
portugal |
6:39.07 |
sa / b |
| 2 |
eyder batista , yunior perez |
cuba |
6:40.15 |
sa / b |
| 3 |
kazushige ura , daisaku takeda |
japan |
6:43.03 |
sc / d |
| 4 |
zsolt hirling , tamã¡s varga |
hungary |
6:50.48 |
sc / d |
| 5 |
devender kumar khandwal , manjeet singh |
india |
7:02.06 |
sc / d |
| 6 |
jang kang - eun , kim hong - kyun |
south korea |
7:12.17 |
sc / d |
Step 2: Extract the numerical time from the 'time' column by identifying the number after ':' to add column 'num_time' to existing table.
| rank |
rowers |
country |
time |
notes |
| 4 |
zsolt hirling , tamã¡s varga |
hungary |
6:50.48 |
sc / d |
Step 3: Select rows where 'num_time' is lower than 6:40.02.
| rank |
rowers |
country |
time |
notes |
num_time |
| 4 |
zsolt hirling , tamã¡s varga |
hungary |
6:50.48 |
sc / d |
50.48 |
Step 4: Use a `CASE` statement to return TRUE if the number of rows is equal to 1, otherwise return FALSE.
| rank |
rowers |
country |
time |
notes |
num_time |
| 4 |
zsolt hirling , tamã¡s varga |
hungary |
6:50.48 |
sc / d |
50.48 |
Prediction: TRUE