Step 1: Select rows where 'provider' is 'vodafone'.
provider |
country |
subscribers__2005___thousands |
subscribers__2006___thousands |
growth |
airtel |
kenya , uganda |
37600 |
31800 |
54.9 |
vodacom |
south africa |
17600 |
21800 |
23.9 |
mtn |
south africa |
10235 |
12483 |
22.0 |
mtn |
nigeria |
8370 |
12281 |
47.0 |
glo mobile |
nigeria |
9000 |
11000 |
22.0 |
maroc |
morocco |
8237 |
10707 |
30.0 |
djezzy |
algeria |
7109 |
10531 |
48.0 |
mobinil |
egypt |
66960 |
9267 |
38.0 |
vodafone |
egypt |
6125 |
8704 |
42.0 |
mobilis |
algeria |
4908 |
7476 |
52.0 |
Step 2: Select rows where 'subscribers__2006___thousands' is 8704.
provider |
country |
subscribers__2005___thousands |
subscribers__2006___thousands |
growth |
vodafone |
egypt |
6125 |
8704 |
42.0 |
Step 3: Select rows where 'growth' is 38.0.
provider |
country |
subscribers__2005___thousands |
subscribers__2006___thousands |
growth |
vodafone |
egypt |
6125 |
8704 |
42.0 |
Step 4: Use a `CASE` statement to return TRUE if the number of rows is equal to 1, otherwise return FALSE.
provider |
country |
subscribers__2005___thousands |
subscribers__2006___thousands |
growth |
Final output table:
verification_result |
FALSE |
Prediction: FALSE
Ground-truth: FALSE