************
- **************
- *****************************************************************************5%,*****************************************
- ************************************************************************************************************
- ***********************************************************************************
Table: apple_search
Search id by two different ab testing groups: --0: control, 1, testing
col_name | col_type -------------------------+-------------------------- search_id | uuid ab_testing_bucket_id | smallint --0: control, 1, testing
Sample results
sample_difference_percentage
------------------------------
7.6923076923076923
Solution postgres
WITH control AS (
SELECT COUNT(*) AS control_count
FROM apple_search
WHERE ab_testing_bucket_id = 0
),
testing AS (
SELECT COUNT(*) AS testing_count
FROM apple_search
WHERE ab_testing_bucket_id = 1
)
SELECT
(control_count - testing_count) * 100.0 / control_count AS sample_difference_percentage
FROM control, testing;
Explanation
This query is related to A/B testing, a method of comparing two versions of a webpage or other product to see which one performs better. A/B testing is essentially an experiment where two or more variants of a page are shown to users at random, and statistical analysis is used to determine which variation performs better for a given conversion goal.
In this case, the apple_search table seems to contain data about searches done on a website, and the column ab_testing_bucket_id is used to track which variant of the webpage the user saw when they did the search. If ab_testing_bucket_id is 0, that means the user saw the control version of the page (i.e., the original version). If ab_testing_bucket_id is 1, that means the user saw the testing version of the page (i.e., the new or different version).
Now, the query is doing the following:
-
In the
controlsubquery, it is counting the total number of searches done by users who saw the control version of the page. This count is being saved ascontrol_count. -
In the
testingsubquery, it is counting the total number of searches done by users who saw the testing version of the page. This count is being saved astesting_count. -
In the main part of the query, it is calculating the difference between the number of searches done on the control version and the testing version, dividing by the number of searches done on the control version, and then multiplying by 100 to get a percentage. This is being saved as
sample_difference_percentage.
In other words, the query is calculating what percentage of the total number of searches done on the control version of the page was not done on the testing version. This could be used to measure if there was a significant drop or increase in the number of searches when users saw the testing version of the page compared to the control version.
Expected results