Step 1: Select rows where 'country' is 'iran'.
rank_mideast |
rank_asia |
rank_world |
country |
c_2011_gdp__ppp__billions_of_usd |
1 |
6 |
17 |
iran |
930.236 |
2 |
9 |
23 |
saudi arabia |
677.663 |
3 |
18 |
48 |
united arab emirates |
261.189 |
4 |
19 |
50 |
israel |
235.446 |
5 |
21 |
55 |
qatar |
181.912 |
6 |
22 |
58 |
kuwait |
150.002 |
7 |
23 |
60 |
iraq |
127.348 |
8 |
26 |
66 |
syria |
107.803 |
9 |
29 |
76 |
oman |
81.005 |
10 |
30 |
83 |
yemen |
63.344 |
11 |
31 |
84 |
lebanon |
61.738 |
12 |
35 |
97 |
jordan |
36.897 |
13 |
37 |
104 |
bahrain |
30.889 |
Step 2: Select rows where 'rank_mideast' is 1.
rank_mideast |
rank_asia |
rank_world |
country |
c_2011_gdp__ppp__billions_of_usd |
1 |
6 |
17 |
iran |
930.236 |
Step 3: Select rows where 'rank_asia' is 6.
rank_mideast |
rank_asia |
rank_world |
country |
c_2011_gdp__ppp__billions_of_usd |
1 |
6 |
17 |
iran |
930.236 |
Step 4: Use a `CASE` statement to return TRUE if the number of rows is equal to 1, otherwise return FALSE.
rank_mideast |
rank_asia |
rank_world |
country |
c_2011_gdp__ppp__billions_of_usd |
1 |
6 |
17 |
iran |
930.236 |
Prediction: TRUE