Think like a Data Analyst ๐
๐ Q1. Find the Nth highest salary (not just 2nd/3rd)?
๐ Use
DENSE_RANK() or ROW_NUMBER()๐ Filter where rank = N
๐ Handle duplicates carefully
๐ Q2. Find common records between two tables?
๐ Use
INNER JOIN๐ Or
INTERSECT (if supported)๐ Based on matching columns
๐ Q3. Find records present in both tables but with different values?
๐ JOIN on key
๐ Compare columns in WHERE
๐ Useful for data mismatch checks
๐ Q4. Count number of orders per day + running total?
๐
GROUP BY order_date๐ Use
SUM() OVER (ORDER BY date)๐ Q5. Find users who never placed any order?
๐
LEFT JOIN orders๐ Filter
WHERE order_id IS NULL๐ Or use
NOT EXISTS
๐ Q6. How do you delete duplicate rows but keep one?๐ Use
ROW_NUMBER() with PARTITION BY๐ Delete where row_number > 1
๐ Always test with SELECT first โ ๏ธ
๐ Backup before deleting
๐ฅ React with โค๏ธ for more such questions