{
    "data": {
        "question": {
            "questionId": "3340",
            "questionFrontendId": "3056",
            "boundTopicId": null,
            "title": "Snaps Analysis",
            "titleSlug": "snaps-analysis",
            "content": null,
            "translatedTitle": null,
            "translatedContent": null,
            "isPaidOnly": true,
            "difficulty": "Medium",
            "likes": 0,
            "dislikes": 1,
            "isLiked": null,
            "similarQuestions": "[]",
            "exampleTestcases": "{\"headers\":{\"Activities\":[\"activity_id\",\"user_id\",\"activity_type\",\"time_spent\"],\"Age\":[\"user_id\",\"age_bucket\"]},\"rows\":{\"Activities\":[[7274,123,\"open\",4.50],[2425,123,\"send\",3.50],[1413,456,\"send\",5.67],[2536,456,\"open\",3.00],[8564,456,\"send\",8.24],[5235,789,\"send\",6.24],[4251,123,\"open\",1.25],[1435,789,\"open\",5.25]],\"Age\":[[123,\"31-35\"],[789,\"21-25\"],[456,\"26-30\"]]}}",
            "categoryTitle": "Database",
            "contributors": [],
            "topicTags": [],
            "companyTagStats": null,
            "codeSnippets": null,
            "stats": "{\"totalAccepted\": \"157\", \"totalSubmission\": \"228\", \"totalAcceptedRaw\": 157, \"totalSubmissionRaw\": 228, \"acRate\": \"68.9%\"}",
            "hints": [],
            "solution": null,
            "status": null,
            "sampleTestCase": "{\"headers\":{\"Activities\":[\"activity_id\",\"user_id\",\"activity_type\",\"time_spent\"],\"Age\":[\"user_id\",\"age_bucket\"]},\"rows\":{\"Activities\":[[7274,123,\"open\",4.50],[2425,123,\"send\",3.50],[1413,456,\"send\",5.67],[2536,456,\"open\",3.00],[8564,456,\"send\",8.24],[5235,789,\"send\",6.24],[4251,123,\"open\",1.25],[1435,789,\"open\",5.25]],\"Age\":[[123,\"31-35\"],[789,\"21-25\"],[456,\"26-30\"]]}}",
            "metaData": "{\"mysql\": [\"Create table if Not Exists Activities(activity_id int, user_id int, activity_type ENUM('send', 'open'), time_spent decimal(5,2))\", \"Create table if not Exists Age( user_id int, age_bucket ENUM('21-25','26-30','31-35'))\"], \"mssql\": [\"Create table Activities (activity_id int, user_id int, activity_type varchar(30)  NOT NULL CHECK (activity_type IN ('send','open')), time_spent decimal(5,2))\", \"Create table  Age( user_id int, age_bucket varchar(30) NOT NULL CHECK ( age_bucket IN ('21-25','26-30','31-35')))\"], \"oraclesql\": [\"Create table Activities (activity_id int, user_id int, activity_type varchar(30)  NOT NULL CHECK (activity_type IN ('send','open')), time_spent decimal(5,2))\", \"Create table  Age( user_id int, age_bucket varchar(30) NOT NULL CHECK ( age_bucket IN ('21-25','26-30','31-35')))\"], \"database\": true, \"name\": \"snap_analysis\", \"pythondata\": [\"Activities = pd.DataFrame([], columns=['activity_id', 'user_id', 'activity_type', 'time_spent']).astype({'activity_id':'Int64', 'user_id':'Int64', 'activity_type':'object', 'time_spent':'Float64'})\\n\", \"Age = pd.DataFrame([], columns=['user_id', 'age_bucket']).astype({'user_id':'Int64', 'age_bucket':'object'})\\n\"], \"postgresql\": [\"CREATE TABLE Activities (\\n    activity_id SERIAL PRIMARY KEY,\\n    user_id INT,\\n    activity_type VARCHAR(30) NOT NULL CHECK (activity_type IN ('send', 'open')),\\n    time_spent DECIMAL(5,2)\\n);\", \"CREATE TABLE Age (\\n    user_id INT,\\n    age_bucket VARCHAR(30) NOT NULL CHECK (age_bucket IN ('21-25', '26-30', '31-35'))\\n);\"], \"database_schema\": {\"Activities\": {\"activity_id\": \"INT\", \"user_id\": \"INT\", \"activity_type\": \"ENUM('send', 'open')\", \"time_spent\": \"DECIMAL(5, 2)\"}, \"Age\": {\"user_id\": \"INT\", \"age_bucket\": \"ENUM('21-25', '26-30', '31-35')\"}}}",
            "judgerAvailable": true,
            "judgeType": "large",
            "mysqlSchemas": [
                "Create table if Not Exists Activities(activity_id int, user_id int, activity_type ENUM('send', 'open'), time_spent decimal(5,2))",
                "Create table if not Exists Age( user_id int, age_bucket ENUM('21-25','26-30','31-35'))",
                "Truncate table Activities",
                "insert into Activities (activity_id, user_id, activity_type, time_spent) values ('7274', '123', 'open', '4.5')",
                "insert into Activities (activity_id, user_id, activity_type, time_spent) values ('2425', '123', 'send', '3.5')",
                "insert into Activities (activity_id, user_id, activity_type, time_spent) values ('1413', '456', 'send', '5.67')",
                "insert into Activities (activity_id, user_id, activity_type, time_spent) values ('2536', '456', 'open', '3.0')",
                "insert into Activities (activity_id, user_id, activity_type, time_spent) values ('8564', '456', 'send', '8.24')",
                "insert into Activities (activity_id, user_id, activity_type, time_spent) values ('5235', '789', 'send', '6.24')",
                "insert into Activities (activity_id, user_id, activity_type, time_spent) values ('4251', '123', 'open', '1.25')",
                "insert into Activities (activity_id, user_id, activity_type, time_spent) values ('1435', '789', 'open', '5.25')",
                "Truncate table Age",
                "insert into Age (user_id, age_bucket) values ('123', '31-35')",
                "insert into Age (user_id, age_bucket) values ('789', '21-25')",
                "insert into Age (user_id, age_bucket) values ('456', '26-30')"
            ],
            "enableRunCode": true,
            "enableTestMode": false,
            "enableDebugger": false,
            "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>\"]}",
            "libraryUrl": null,
            "adminUrl": null,
            "challengeQuestion": null,
            "__typename": "QuestionNode"
        }
    }
}