Count Salary Categories
<p>Table: <code>Accounts</code></p>

<pre>
+-------------+------+
| 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.
</pre>

<p>&nbsp;</p>

<p>Write a solution&nbsp;to calculate the number of bank accounts for each salary category. The salary categories are:</p>

<ul>
	<li><code>&quot;Low Salary&quot;</code>: All the salaries <strong>strictly less</strong> than <code>$20000</code>.</li>
	<li><code>&quot;Average Salary&quot;</code>: All the salaries in the <strong>inclusive</strong> range <code>[$20000, $50000]</code>.</li>
	<li><code>&quot;High Salary&quot;</code>: All the salaries <strong>strictly greater</strong> than <code>$50000</code>.</li>
</ul>

<p>The result table <strong>must</strong> contain all three categories. If there are no accounts in a category,&nbsp;return&nbsp;<code>0</code>.</p>

<p>Return the result table in <strong>any order</strong>.</p>

<p>The&nbsp;result format is in the following example.</p>

<p>&nbsp;</p>
<p><strong class="example">Example 1:</strong></p>

<pre>
<strong>Input:</strong> 
Accounts table:
+------------+--------+
| account_id | income |
+------------+--------+
| 3          | 108939 |
| 2          | 12747  |
| 8          | 87709  |
| 6          | 91796  |
+------------+--------+
<strong>Output:</strong> 
+----------------+----------------+
| category       | accounts_count |
+----------------+----------------+
| Low Salary     | 1              |
| Average Salary | 0              |
| High Salary    | 3              |
+----------------+----------------+
<strong>Explanation:</strong> 
Low Salary: Account 2.
Average Salary: No accounts.
High Salary: Accounts 3, 6, and 8.
</pre>

['create-a-session-bar-chart']
['Create table If Not Exists Accounts (account_id int, income int)', 'Truncate table Accounts', "insert into Accounts (account_id, income) values ('3', '108939')", "insert into Accounts (account_id, income) values ('2', '12747')", "insert into Accounts (account_id, income) values ('8', '87709')", "insert into Accounts (account_id, income) values ('6', '91796')"]
[{"value": "mysql", "text": "MySQL", "defaultCode": "# Write your MySQL query statement below\n"}, {"value": "mssql", "text": "MS SQL Server", "defaultCode": "/* Write your T-SQL query statement below */\n"}, {"value": "oraclesql", "text": "Oracle", "defaultCode": "/* Write your PL/SQL query statement below */\n"}, {"value": "pythondata", "text": "Pandas", "defaultCode": "import pandas as pd\n\ndef count_salary_categories(accounts: pd.DataFrame) -> pd.DataFrame:\n    "}, {"value": "postgresql", "text": "PostgreSQL", "defaultCode": "-- Write your PostgreSQL query statement below\n"}]
{"mysql": ["Create table If Not Exists Accounts (account_id int, income int)"], "mssql": ["Create table Accounts (account_id int, income int)"], "oraclesql": ["Create table Accounts (account_id int, income int)"], "database": true, "name": "count_salary_categories", "pythondata": ["Accounts = pd.DataFrame([], columns=['account_id', 'income']).astype({'account_id':'Int64', 'income':'Int64'})"], "postgresql": ["Create table If Not Exists Accounts (account_id int, income int)"], "database_schema": {"Accounts": {"account_id": "INT", "income": "INT"}}}
{"mysql": ["MySQL", "<p><code>MySQL 8.0</code>.</p>"], "mssql": ["MS SQL Server", "<p><code>mssql server 2019</code>.</p>"], "oraclesql": ["Oracle", "<p><code>Oracle Sql 11.2</code>.</p>"], "pythondata": ["Pandas", "<p>Python 3.10 with Pandas 2.2.2 and NumPy 1.26.4</p>"], "postgresql": ["PostgreSQL", "<p>PostgreSQL 16</p>"]}
['Database']