{
    "data": {
        "question": {
            "questionId": "3554",
            "questionFrontendId": "3246",
            "categoryTitle": "Database",
            "boundTopicId": 2869459,
            "title": "Premier League Table Ranking",
            "titleSlug": "premier-league-table-ranking",
            "content": null,
            "translatedTitle": "英超积分榜排名",
            "translatedContent": null,
            "isPaidOnly": true,
            "difficulty": "Easy",
            "likes": 0,
            "dislikes": 0,
            "isLiked": null,
            "similarQuestions": "[]",
            "contributors": [],
            "langToValidPlayground": null,
            "topicTags": [
                {
                    "name": "Database",
                    "slug": "database",
                    "translatedName": "数据库",
                    "__typename": "TopicTagNode"
                }
            ],
            "companyTagStats": null,
            "codeSnippets": null,
            "stats": "{\"totalAccepted\": \"32\", \"totalSubmission\": \"35\", \"totalAcceptedRaw\": 32, \"totalSubmissionRaw\": 35, \"acRate\": \"91.4%\"}",
            "hints": [],
            "solution": null,
            "status": null,
            "sampleTestCase": "{\"headers\":{\"TeamStats\":[\"team_id\",\"team_name\",\"matches_played\",\"wins\",\"draws\",\"losses\"]},\"rows\":{\"TeamStats\":[[1,\"Manchester City\",10,6,2,2],[2,\"Liverpool\",10,6,2,2],[3,\"Chelsea\",10,5,3,2],[4,\"Arsenal\",10,4,4,2],[5,\"Tottenham\",10,3,5,2]]}}",
            "metaData": "{\"mysql\":[\"Create table if not exists TeamStats( team_id int, team_name varchar(100),matches_played int, wins int,draws int,losses int)\"],\"mssql\":[\"Create table  TeamStats( team_id int, team_name varchar(100),matches_played int, wins int,draws int,losses int)\"],\"oraclesql\":[\"Create table  TeamStats( team_id NUMBER, team_name varchar2(100),matches_played NUMBER, wins NUMBER,draws NUMBER,losses NUMBER)\"],\"database\":true,\"name\":\"calculate_team_standings\",\"postgresql\":[\"CREATE TABLE IF NOT EXISTS TeamStats (\\n    team_id INT,\\n    team_name VARCHAR(100),\\n    matches_played INT,\\n    wins INT,\\n    draws INT,\\n    losses INT\\n);\\n\"],\"pythondata\":[\"TeamStats = pd.DataFrame(data, columns=[\\\"team_id\\\", \\\"team_name\\\", \\\"matches_played\\\", \\\"wins\\\", \\\"draws\\\", \\\"losses\\\"]).astype({\\\"team_id\\\": \\\"int\\\", \\\"team_name\\\": \\\"string\\\", \\\"matches_played\\\": \\\"int\\\", \\\"wins\\\": \\\"int\\\", \\\"draws\\\": \\\"int\\\", \\\"losses\\\": \\\"int\\\"})\\n\"],\"database_schema\":{\"TeamStats\":{\"team_id\":\"INT\",\"team_name\":\"VARCHAR(100)\",\"matches_played\":\"INT\",\"wins\":\"INT\",\"draws\":\"INT\",\"losses\":\"INT\"}}}",
            "judgerAvailable": true,
            "judgeType": "large",
            "mysqlSchemas": [
                "Create table if not exists TeamStats( team_id int, team_name varchar(100),matches_played int, wins int,draws int,losses int)",
                "Truncate table TeamStats",
                "insert into TeamStats (team_id, team_name, matches_played, wins, draws, losses) values ('1', 'Manchester City', '10', '6', '2', '2')",
                "insert into TeamStats (team_id, team_name, matches_played, wins, draws, losses) values ('2', 'Liverpool', '10', '6', '2', '2')",
                "insert into TeamStats (team_id, team_name, matches_played, wins, draws, losses) values ('3', 'Chelsea', '10', '5', '3', '2')",
                "insert into TeamStats (team_id, team_name, matches_played, wins, draws, losses) values ('4', 'Arsenal', '10', '4', '4', '2')",
                "insert into TeamStats (team_id, team_name, matches_played, wins, draws, losses) values ('5', 'Tottenham', '10', '3', '5', '2')"
            ],
            "enableRunCode": true,
            "envInfo": "{\"mysql\":[\"MySQL\",\"<p>\\u7248\\u672c\\uff1a<code>MySQL 8.0<\\/code><\\/p>\"],\"mssql\":[\"MS SQL Server\",\"<p>mssql server 2019.<\\/p>\"],\"oraclesql\":[\"Oracle\",\"<p>Oracle Sql 11.2.<\\/p>\"],\"pythondata\":[\"Pandas\",\"<p>Python 3.10 with Pandas 2.0.2 and NumPy 1.25.0<\\/p>\"],\"postgresql\":[\"PostgreSQL\",\"<p>PostgreSQL 16<\\/p>\"]}",
            "book": null,
            "isSubscribed": false,
            "isDailyQuestion": false,
            "dailyRecordStatus": null,
            "editorType": "CKEDITOR",
            "ugcQuestionId": null,
            "style": "LEETCODE",
            "exampleTestcases": "{\"headers\":{\"TeamStats\":[\"team_id\",\"team_name\",\"matches_played\",\"wins\",\"draws\",\"losses\"]},\"rows\":{\"TeamStats\":[[1,\"Manchester City\",10,6,2,2],[2,\"Liverpool\",10,6,2,2],[3,\"Chelsea\",10,5,3,2],[4,\"Arsenal\",10,4,4,2],[5,\"Tottenham\",10,3,5,2]]}}",
            "__typename": "QuestionNode"
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}