đŸŽ¯ Day 7: GROUP BY & HAVING - Group Analysis


🎮 āφāϜāϕ⧇āϰ āĻŽā§‚āϞ āĻŦāĻŋāώāϝāĻŧ:

Day 6: āφāĻŽāϰāĻž āϏāĻŦ data āĻāϰ aggregate (COUNT, SUM, AVG) āĻļāĻŋāϖ⧇āĻ›āĻŋ

Day 7: āĻāĻŦāĻžāϰ groups āĻŦāĻžāύāĻŋāϝāĻŧ⧇ āĻĒā§āϰāϤāĻŋāϟāĻž group āĻāϰ āφāϞāĻžāĻĻāĻž aggregate āĻ•āϰāĻŦ!


📊 GROUP BY āϕ⧀ āĻāĻŦāĻ‚ āϕ⧇āύ?

āϏāĻŽāĻ¸ā§āϝāĻž:

āφāĻŽāϰāĻž āϚāĻžāχ āĻĒā§āϰāϤāĻŋāϟāĻž āĻŦāϝāĻŧāϏ⧇āϰ āĻ•āϤāϜāύ āĻ›āĻžāĻ¤ā§āϰ āφāϛ⧇? āĻ•āĻŋāĻ¨ā§āϤ⧁ āĻāĻ–āύ āĻĒāĻ°ā§āϝāĻ¨ā§āϤ āĻļ⧁āϧ⧁ āĻŽā§‹āϟ āĻ•āϤāϜāύ āĻŦ⧇āϰ āĻ•āϰāϤ⧇ āĻĒāĻžāϰāĻŋāĨ¤

āϏāĻŽāĻžāϧāĻžāύ:

GROUP BY āĻĻāĻŋāϝāĻŧ⧇ āφāĻŽāϰāĻž data āϕ⧇ groups āĻ āĻ­āĻžāĻ— āĻ•āϰāĻŋ, āϤāĻžāϰāĻĒāϰ āĻĒā§āϰāϤāĻŋāϟāĻž group āĻāϰ āϜāĻ¨ā§āϝ calculation āĻ•āϰāĻŋāĨ¤


đŸŽ¯ Basic GROUP BY Syntax

SELECT column_name, aggregate_function(column)
FROM table_name
GROUP BY column_name;

📋 Part 1: āϏāĻšāϜ GROUP BY āωāĻĻāĻžāĻšāϰāĻŖ

Example Data:

Name Age City
Osru 21 Dhaka
Rahim 22 Dhaka
Karim 21 Khulna
Sumi 22 Dhaka
Rafiq 21 Khulna

đŸŽ¯ āĻĒā§āϰāϤāĻŋāϟāĻž āĻŦāϝāĻŧāϏ⧇ āĻ•āϤāϜāύ?