Table: Accounts
+-------------+------+
| Column Name | Type |
+-------------+------+
| account_id | int |
| income | int |
+-------------+------+
account_id is the primary key (column with unique values) for this table.
Each row contains information about the monthly income for one bank account.
Write a solution to calculate the number of bank accounts for each salary category. The salary categories are:
- "Low Salary": All the salaries strictly less than $20000. "Average
- Salary": All the salaries in the inclusive range [$20000, $50000].
- "High Salary": All the salaries strictly greater than $50000.
The result table must contain all three categories. If there are no
accounts in a category, return 0.
Return the result table in any order.
The result format is in the following example.
Example 1:
Input:
Accounts table:
+------------+--------+
| account_id | income |
+------------+--------+
| 3 | 108939 |
| 2 | 12747 |
| 8 | 87709 |
| 6 | 91796 |
+------------+--------+
Output:
+----------------+----------------+
| category | accounts_count |
+----------------+----------------+
| Low Salary | 1 |
| Average Salary | 0 |
| High Salary | 3 |
+----------------+----------------+
Explanation:
Low Salary: Account 2.
Average Salary: No accounts.
High Salary: Accounts 3, 6, and 8.
link to the problem statement
I tried this
SELECT
CASE
WHEN income < 20000 THEN "Low Salary"
WHEN income >= 20000 AND income <= 50000 THEN "Average Salary"
ELSE "High Salary"
END AS category,
COUNT(*) AS accounts_count
FROM Accounts
GROUP BY category;
My output is this
| category | accounts_count |
| ----------- | -------------- |
| High Salary | 3 |
| Low Salary | 1 |
But expected output is this
| category | accounts_count |
| -------------- | -------------- |
| High Salary | 3 |
| Low Salary | 1 |
| Average Salary | 0 |
2
Answers
You can use
union all
to generate the desired output. The first query is used to find accounts with low salaries, the second query is used to find accounts with average salaries, and the last query is used to find accounts with high salaries. We combine these three queries usingunion all
:Demo: https://dbfiddle.uk/eu1EIDwW
Try this: