Reputation: 1691
Store No Store Name Region Division Q10(response) Q21(response)
2345 ABC North Test 1 5
2345 North Test 6 3
2345 ABC North Test 4 6
1st calculation
1 ) Engaged(%) = Response Greater than 4.5
3 (total response greater than 4.5) / 6 (total count) * 100 = 50%
Store No Store Name Region Division Q10 Q21
2345 ABC North Test 1 5
2345 ABC North Test 6 3
2345 ABC North Test 4 6
2) not engaged (%) = Response less than 2
1 (total response less than 2) / 6 (total count) * 100 = 16.66%
I should be able to get the table like this
Store No Store Name Region Division Engaged(%) Disengaged(%)
2345 ABC North Test 50 16.66
Upvotes: 0
Views: 75
Reputation: 4915
Your statistics rounded 2 digits after point (T-SQL), grouped by stores:
SELECT
store_no,
store_name,
region,
division,
ROUND( CAST( (SUM(CASE WHEN q10 > 4.5 THEN 1 ELSE 0 END) + SUM(CASE WHEN q21 > 4.5 THEN 1 ELSE 0 END)) AS FLOAT) / (COUNT(q10)+COUNT(q21)) * 100, 2) AS engaged,
ROUND( CAST( (SUM(CASE WHEN q10 < 2 THEN 1 ELSE 0 END) + SUM(CASE WHEN q21 < 2 THEN 1 ELSE 0 END)) AS FLOAT) / (COUNT(q10)+COUNT(q21)) * 100, 2) AS not_engaged
FROM
yourtable
GROUP BY
store_no,
store_name,
region,
division
Upvotes: 2