Step 1: Select rows where 'name' is 'chris topping' or 'dave sutton'.
name |
position |
league_apps |
league_goals |
fa_cup_apps |
fa_cup_goals |
league_cup_apps |
league_cup_goals |
total_apps |
total_goals |
jim branagan |
df |
0 |
0 |
0 |
0 |
0 (1) |
0 |
0 (1) |
0 |
malcolm brown |
df |
46 |
2 |
2 |
0 |
4 |
1 |
52 |
3 |
david cowling |
mf |
39 (1) |
10 |
1 |
0 |
4 |
0 |
44 (1) |
10 |
peter fletcher |
fw |
30 (8) |
17 |
2 |
0 |
3 |
1 |
35 (8) |
18 |
keith hanvey |
df |
33 |
2 |
0 |
0 |
4 |
0 |
39 |
2 |
peter hart |
mf |
46 |
4 |
1 |
1 |
4 |
0 |
51 |
5 |
ian holmes |
mf |
6 (4) |
3 |
0 |
0 |
4 |
1 |
10 (4) |
4 |
steve kindon |
fw |
22 (1) |
14 |
0 |
0 |
0 |
0 |
22 (1) |
14 |
mick laverick |
mf |
45 |
4 |
2 |
0 |
4 |
0 |
51 |
4 |
bernard purdie |
df |
18 (4) |
0 |
2 |
0 |
0 |
0 |
20 (4) |
0 |
andy rankin |
gk |
24 |
0 |
0 |
0 |
0 |
0 |
24 |
0 |
ian robins |
fw |
45 |
25 |
2 |
0 |
4 |
2 |
51 |
27 |
fred robinson |
df |
30 |
1 |
2 |
0 |
4 |
0 |
36 |
1 |
tommy smith |
fw |
0 |
0 |
0 |
0 |
1 |
0 |
1 |
0 |
brian stanton |
mf |
41 |
9 |
2 |
0 |
0 |
0 |
43 |
9 |
alan starling |
gk |
22 |
0 |
2 |
0 |
4 |
0 |
28 |
0 |
dave sutton |
df |
46 |
6 |
2 |
0 |
4 |
1 |
52 |
7 |
chris topping |
df |
13 |
0 |
2 |
0 |
0 |
0 |
15 |
0 |
Step 2: Select rows where 'position' is 'df'.
name |
position |
league_apps |
league_goals |
fa_cup_apps |
fa_cup_goals |
league_cup_apps |
league_cup_goals |
total_apps |
total_goals |
dave sutton |
df |
46 |
6 |
2 |
0 |
4 |
1 |
52 |
7 |
chris topping |
df |
13 |
0 |
2 |
0 |
0 |
0 |
15 |
0 |
Step 3: Cast to INT and order the table by 'league_apps' in descending order and select the first row.
name |
position |
league_apps |
league_goals |
fa_cup_apps |
fa_cup_goals |
league_cup_apps |
league_cup_goals |
total_apps |
total_goals |
dave sutton |
df |
46 |
6 |
2 |
0 |
4 |
1 |
52 |
7 |
chris topping |
df |
13 |
0 |
2 |
0 |
0 |
0 |
15 |
0 |
Step 4: Select rows where 'league_apps' is equal to the value obtained in step 3.
name |
position |
league_apps |
league_goals |
fa_cup_apps |
fa_cup_goals |
league_cup_apps |
league_cup_goals |
total_apps |
total_goals |
dave sutton |
df |
46 |
6 |
2 |
0 |
4 |
1 |
52 |
7 |
Step 5: Use a `CASE` statement to return TRUE if the number of rows is equal to 2, otherwise return FALSE.
name |
position |
league_apps |
league_goals |
fa_cup_apps |
fa_cup_goals |
league_cup_apps |
league_cup_goals |
total_apps |
total_goals |
dave sutton |
df |
46 |
6 |
2 |
0 |
4 |
1 |
52 |
7 |
Final output table:
verification_result |
FALSE |
Prediction: FALSE
Ground-truth: FALSE