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https://gitee.com/coder-xiaomo/leetcode-problemset
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95 lines
6.8 KiB
JSON
95 lines
6.8 KiB
JSON
{
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"data": {
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"question": {
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"questionId": "2057",
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"questionFrontendId": "1907",
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"boundTopicId": null,
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"title": "Count Salary Categories",
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"titleSlug": "count-salary-categories",
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"content": "<p>Table: <code>Accounts</code></p>\n\n<pre>\n+-------------+------+\n| Column Name | Type |\n+-------------+------+\n| account_id | int |\n| income | int |\n+-------------+------+\naccount_id is the primary key (column with unique values) for this table.\nEach row contains information about the monthly income for one bank account.\n</pre>\n\n<p> </p>\n\n<p>Write a solution to calculate the number of bank accounts for each salary category. The salary categories are:</p>\n\n<ul>\n\t<li><code>"Low Salary"</code>: All the salaries <strong>strictly less</strong> than <code>$20000</code>.</li>\n\t<li><code>"Average Salary"</code>: All the salaries in the <strong>inclusive</strong> range <code>[$20000, $50000]</code>.</li>\n\t<li><code>"High Salary"</code>: All the salaries <strong>strictly greater</strong> than <code>$50000</code>.</li>\n</ul>\n\n<p>The result table <strong>must</strong> contain all three categories. If there are no accounts in a category, return <code>0</code>.</p>\n\n<p>Return the result table in <strong>any order</strong>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p> </p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nAccounts table:\n+------------+--------+\n| account_id | income |\n+------------+--------+\n| 3 | 108939 |\n| 2 | 12747 |\n| 8 | 87709 |\n| 6 | 91796 |\n+------------+--------+\n<strong>Output:</strong> \n+----------------+----------------+\n| category | accounts_count |\n+----------------+----------------+\n| Low Salary | 1 |\n| Average Salary | 0 |\n| High Salary | 3 |\n+----------------+----------------+\n<strong>Explanation:</strong> \nLow Salary: Account 2.\nAverage Salary: No accounts.\nHigh Salary: Accounts 3, 6, and 8.\n</pre>\n",
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"translatedTitle": null,
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"translatedContent": null,
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"isPaidOnly": false,
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"difficulty": "Medium",
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"likes": 312,
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"dislikes": 61,
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"isLiked": null,
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"similarQuestions": "[{\"title\": \"Create a Session Bar Chart\", \"titleSlug\": \"create-a-session-bar-chart\", \"difficulty\": \"Easy\", \"translatedTitle\": null}]",
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"exampleTestcases": "{\"headers\":{\"Accounts\":[\"account_id\",\"income\"]},\"rows\":{\"Accounts\":[[3,108939],[2,12747],[8,87709],[6,91796]]}}",
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"categoryTitle": "Database",
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"contributors": [],
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"topicTags": [
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{
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"name": "Database",
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"slug": "database",
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"codeSnippets": [
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{
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"lang": "MySQL",
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"langSlug": "mysql",
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"code": "# Write your MySQL query statement below\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "MS SQL Server",
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"langSlug": "mssql",
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"code": "/* Write your T-SQL query statement below */\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Oracle",
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"langSlug": "oraclesql",
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"code": "/* Write your PL/SQL query statement below */\n",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "Pandas",
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"langSlug": "pythondata",
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"code": "import pandas as pd\n\ndef count_salary_categories(accounts: pd.DataFrame) -> pd.DataFrame:\n ",
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"__typename": "CodeSnippetNode"
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},
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{
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"lang": "PostgreSQL",
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"langSlug": "postgresql",
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"code": "-- Write your PostgreSQL query statement below\n",
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"__typename": "CodeSnippetNode"
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}
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],
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"stats": "{\"totalAccepted\": \"47.9K\", \"totalSubmission\": \"82.8K\", \"totalAcceptedRaw\": 47868, \"totalSubmissionRaw\": 82796, \"acRate\": \"57.8%\"}",
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"hints": [],
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"solution": {
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"id": "2021",
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"__typename": "ArticleNode"
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},
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"status": null,
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"sampleTestCase": "{\"headers\":{\"Accounts\":[\"account_id\",\"income\"]},\"rows\":{\"Accounts\":[[3,108939],[2,12747],[8,87709],[6,91796]]}}",
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"metaData": "{\"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\"}}}",
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"judgerAvailable": true,
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"judgeType": "large",
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"mysqlSchemas": [
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"Create table If Not Exists Accounts (account_id int, income int)",
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"Truncate table Accounts",
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"insert into Accounts (account_id, income) values ('3', '108939')",
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"insert into Accounts (account_id, income) values ('2', '12747')",
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"insert into Accounts (account_id, income) values ('8', '87709')",
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"insert into Accounts (account_id, income) values ('6', '91796')"
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],
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"enableRunCode": true,
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"enableTestMode": false,
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"enableDebugger": false,
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"envInfo": "{\"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 2.0.2 and NumPy 1.25.0</p>\"], \"postgresql\": [\"PostgreSQL\", \"<p>PostgreSQL 16</p>\"]}",
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"libraryUrl": null,
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"challengeQuestion": null,
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"__typename": "QuestionNode"
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}
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}
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} |