Table SALES

Column Name
STORE_ID
SALES_DATE
SALES_AMOUNT

Which SQL statement lets you find the sales amount for each store?

1. SELECT STORE_ID, SUM(SALES_AMOUNT) FROM SALES;
2. SELECT STORE_ID, SUM(SALES_AMOUNT) FROM SALES ORDER BY STORE_ID;
3. SELECT STORE_ID, SUM(SALES_AMOUNT) FROM SALES GROUP BY STORE_ID;
4. SELECT STORE_ID, SUM(SALES_AMOUNT) FROM SALES HAVING UNIQUE STORE_ID;

SELECT STORE_ID, SUM(SALES_AMOUNT) FROM SALES GROUP BY STORE_ID;

Explanation

1. SELECT STORE_ID, SUM(SALES_AMOUNT) FROM SALES; — This statement selects the store_ID and calculates the total sales amount using SUM() aggregate function from the SALES table. It does not group the results by store ID, so it will return a single row with the total sales amount across all stores.
2. SELECT STORE_ID, SUM(SALES_AMOUNT) FROM SALES ORDER BY STORE_ID; — This statement selects the store_ID and calculates the total sales amount using SUM() aggregate function from the SALES table and uses an ORDER BY clause to sort the results by store ID. However, it still doesn't group the results by store_ID.
3. SELECT STORE_ID, SUM(SALES_AMOUNT) FROM SALES GROUP BY STORE_ID; — This statement selects the store_ID and calculates the total sales amount using SUM() aggregate function from the SALES table and uses the GROUP BY clause to group the results by store ID. It calculates the total sales amount for each store ID separately. As a result, it calculates the total sales amount for each unique store ID separately, providing a breakdown of sales amounts for each store in the dataset.
4. SELECT STORE_ID, SUM(SALES_AMOUNT) FROM SALES HAVING UNIQUE STORE_ID; — This statement is incorrect because the HAVING clause is used for filtering grouped data based on a condition, not for identifying unique values. Also, "UNIQUE STORE_ID" is not a valid condition in SQL.