Step 1: Select rows where 'location_attendance' is not empty.
game |
date |
team |
location_attendance |
record |
75 |
april 1 |
houston |
us airways center 18422 |
41 - 34 |
76 |
april 3 |
sacramento |
us airways center 18422 |
42 - 34 |
77 |
april 5 |
dallas |
american airlines center 20301 |
42 - 35 |
78 |
april 8 |
new orleans |
new orleans arena 17781 |
43 - 35 |
79 |
april 10 |
memphis |
fedexforum 15908 |
43 - 36 |
80 |
april 11 |
minnesota |
target center 18478 |
44 - 36 |
81 |
april 13 |
memphis |
us airways center 18422 |
45 - 36 |
82 |
april 15 |
golden state |
us airways center |
46 - 36 |
Step 2: Extract the numerical attendance from the 'location_attendance' column by identifying the number before the space to add column 'attendance' to existing table.
game |
date |
team |
location_attendance |
record |
75 |
april 1 |
houston |
us airways center 18422 |
41 - 34 |
76 |
april 3 |
sacramento |
us airways center 18422 |
42 - 34 |
77 |
april 5 |
dallas |
american airlines center 20301 |
42 - 35 |
78 |
april 8 |
new orleans |
new orleans arena 17781 |
43 - 35 |
79 |
april 10 |
memphis |
fedexforum 15908 |
43 - 36 |
80 |
april 11 |
minnesota |
target center 18478 |
44 - 36 |
81 |
april 13 |
memphis |
us airways center 18422 |
45 - 36 |
82 |
april 15 |
golden state |
us airways center |
46 - 36 |
Step 3: Cast to INT and order the table by 'attendance' in descending order and select the first row.
game |
date |
team |
location_attendance |
record |
attendance |
75 |
april 1 |
houston |
us airways center 18422 |
41 - 34 |
0 |
76 |
april 3 |
sacramento |
us airways center 18422 |
42 - 34 |
0 |
77 |
april 5 |
dallas |
american airlines center 20301 |
42 - 35 |
0 |
78 |
april 8 |
new orleans |
new orleans arena 17781 |
43 - 35 |
0 |
79 |
april 10 |
memphis |
fedexforum 15908 |
43 - 36 |
15908 |
80 |
april 11 |
minnesota |
target center 18478 |
44 - 36 |
0 |
81 |
april 13 |
memphis |
us airways center 18422 |
45 - 36 |
0 |
82 |
april 15 |
golden state |
us airways center |
46 - 36 |
0 |
Step 4: Select rows where 'team' is 'new orleans'.
game |
date |
team |
location_attendance |
record |
attendance |
79 |
april 10 |
memphis |
fedexforum 15908 |
43 - 36 |
15908 |
Step 5: Use a `CASE` statement to return TRUE if the number of rows is equal to 1, otherwise return FALSE.
game |
date |
team |
location_attendance |
record |
attendance |
Final output table:
verification_result |
FALSE |
Prediction: FALSE
Ground-truth: FALSE