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leetcode-problemset/leetcode-cn/originData/[no content]sales-analysis-i.json

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{
"data": {
"question": {
"questionId": "1172",
"questionFrontendId": "1082",
"categoryTitle": "Database",
"boundTopicId": 11027,
"title": "Sales Analysis I",
"titleSlug": "sales-analysis-i",
"content": null,
"translatedTitle": "销售分析 I ",
"translatedContent": null,
"isPaidOnly": true,
"difficulty": "Easy",
"likes": 58,
"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\": \"20.2K\", \"totalSubmission\": \"26.4K\", \"totalAcceptedRaw\": 20219, \"totalSubmissionRaw\": 26392, \"acRate\": \"76.6%\"}",
"hints": [],
"solution": null,
"status": null,
"sampleTestCase": "{\"headers\":{\"Product\":[\"product_id\",\"product_name\",\"unit_price\"],\"Sales\":[\"seller_id\",\"product_id\",\"buyer_id\",\"sale_date\",\"quantity\",\"price\"]},\"rows\":{\"Product\":[[1,\"S8\",1000],[2,\"G4\",800],[3,\"iPhone\",1400]],\"Sales\":[[1,1,1,\"2019-01-21\",2,2000],[1,2,2,\"2019-02-17\",1,800],[2,2,3,\"2019-06-02\",1,800],[3,3,4,\"2019-05-13\",2,2800]]}}",
"metaData": "{\"mysql\":[\"Create table If Not Exists Product (product_id int, product_name varchar(10), unit_price int)\",\"Create table If Not Exists Sales (seller_id int, product_id int, buyer_id int, sale_date date, quantity int, price int)\"],\"mssql\":[\"Create table Product (product_id int, product_name varchar(10), unit_price int)\",\"Create table Sales (seller_id int, product_id int, buyer_id int, sale_date date, quantity int, price int)\"],\"oraclesql\":[\"Create table Product (product_id int, product_name varchar(10), unit_price int)\",\"Create table Sales (seller_id int, product_id int, buyer_id int, sale_date date, quantity int, price int)\",\"ALTER SESSION SET nls_date_format='YYYY-MM-DD'\"],\"database\":true,\"name\":\"sales_analysis\",\"pythondata\":[\"Product = pd.DataFrame([], columns=['product_id', 'product_name', 'unit_price']).astype({'product_id':'Int64', 'product_name':'object', 'unit_price':'Int64'})\",\"Sales = pd.DataFrame([], columns=['seller_id', 'product_id', 'buyer_id', 'sale_date', 'quantity', 'price']).astype({'seller_id':'Int64', 'product_id':'Int64', 'buyer_id':'Int64', 'sale_date':'datetime64[ns]', 'quantity':'Int64', 'price':'Int64'})\"],\"postgresql\":[\"Create table If Not Exists Product (product_id int, product_name varchar(10), unit_price int)\",\"Create table If Not Exists Sales (seller_id int, product_id int, buyer_id int, sale_date date, quantity int, price int)\"],\"database_schema\":{\"Product\":{\"product_id\":\"INT\",\"product_name\":\"VARCHAR(10)\",\"unit_price\":\"INT\"},\"Sales\":{\"seller_id\":\"INT\",\"product_id\":\"INT\",\"buyer_id\":\"INT\",\"sale_date\":\"DATE\",\"quantity\":\"INT\",\"price\":\"INT\"}}}",
"judgerAvailable": true,
"judgeType": "large",
"mysqlSchemas": [
"Create table If Not Exists Product (product_id int, product_name varchar(10), unit_price int)",
"Create table If Not Exists Sales (seller_id int, product_id int, buyer_id int, sale_date date, quantity int, price int)",
"Truncate table Product",
"insert into Product (product_id, product_name, unit_price) values ('1', 'S8', '1000')",
"insert into Product (product_id, product_name, unit_price) values ('2', 'G4', '800')",
"insert into Product (product_id, product_name, unit_price) values ('3', 'iPhone', '1400')",
"Truncate table Sales",
"insert into Sales (seller_id, product_id, buyer_id, sale_date, quantity, price) values ('1', '1', '1', '2019-01-21', '2', '2000')",
"insert into Sales (seller_id, product_id, buyer_id, sale_date, quantity, price) values ('1', '2', '2', '2019-02-17', '1', '800')",
"insert into Sales (seller_id, product_id, buyer_id, sale_date, quantity, price) values ('2', '2', '3', '2019-06-02', '1', '800')",
"insert into Sales (seller_id, product_id, buyer_id, sale_date, quantity, price) values ('3', '3', '4', '2019-05-13', '2', '2800')"
],
"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\":{\"Product\":[\"product_id\",\"product_name\",\"unit_price\"],\"Sales\":[\"seller_id\",\"product_id\",\"buyer_id\",\"sale_date\",\"quantity\",\"price\"]},\"rows\":{\"Product\":[[1,\"S8\",1000],[2,\"G4\",800],[3,\"iPhone\",1400]],\"Sales\":[[1,1,1,\"2019-01-21\",2,2000],[1,2,2,\"2019-02-17\",1,800],[2,2,3,\"2019-06-02\",1,800],[3,3,4,\"2019-05-13\",2,2800]]}}",
"__typename": "QuestionNode"
}
}
}