leetcode-problemset/leetcode/originData/restaurant-growth.json

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            "questionId": "1452",
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            "title": "Restaurant Growth",
            "titleSlug": "restaurant-growth",
            "content": "<p>Table: <code>Customer</code></p>\n\n<pre>\n+---------------+---------+\n| Column Name   | Type    |\n+---------------+---------+\n| customer_id   | int     |\n| name          | varchar |\n| visited_on    | date    |\n| amount        | int     |\n+---------------+---------+\nIn SQL,(customer_id, visited_on) is the primary key for this table.\nThis table contains data about customer transactions in a restaurant.\nvisited_on is the date on which the customer with ID (customer_id) has visited the restaurant.\namount is the total paid by a customer.\n</pre>\n\n<p>&nbsp;</p>\n\n<p>You are the restaurant owner and you want to analyze a possible expansion (there will be at least one customer every day).</p>\n\n<p>Compute the moving average of how much the customer paid in a seven days window (i.e., current day + 6 days before). <code>average_amount</code> should be <strong>rounded to two decimal places</strong>.</p>\n\n<p>Return the result table ordered by <code>visited_on</code> <strong>in ascending order</strong>.</p>\n\n<p>The result format is in the following example.</p>\n\n<p>&nbsp;</p>\n<p><strong class=\"example\">Example 1:</strong></p>\n\n<pre>\n<strong>Input:</strong> \nCustomer table:\n+-------------+--------------+--------------+-------------+\n| customer_id | name         | visited_on   | amount      |\n+-------------+--------------+--------------+-------------+\n| 1           | Jhon         | 2019-01-01   | 100         |\n| 2           | Daniel       | 2019-01-02   | 110         |\n| 3           | Jade         | 2019-01-03   | 120         |\n| 4           | Khaled       | 2019-01-04   | 130         |\n| 5           | Winston      | 2019-01-05   | 110         | \n| 6           | Elvis        | 2019-01-06   | 140         | \n| 7           | Anna         | 2019-01-07   | 150         |\n| 8           | Maria        | 2019-01-08   | 80          |\n| 9           | Jaze         | 2019-01-09   | 110         | \n| 1           | Jhon         | 2019-01-10   | 130         | \n| 3           | Jade         | 2019-01-10   | 150         | \n+-------------+--------------+--------------+-------------+\n<strong>Output:</strong> \n+--------------+--------------+----------------+\n| visited_on   | amount       | average_amount |\n+--------------+--------------+----------------+\n| 2019-01-07   | 860          | 122.86         |\n| 2019-01-08   | 840          | 120            |\n| 2019-01-09   | 840          | 120            |\n| 2019-01-10   | 1000         | 142.86         |\n+--------------+--------------+----------------+\n<strong>Explanation:</strong> \n1st moving average from 2019-01-01 to 2019-01-07 has an average_amount of (100 + 110 + 120 + 130 + 110 + 140 + 150)/7 = 122.86\n2nd moving average from 2019-01-02 to 2019-01-08 has an average_amount of (110 + 120 + 130 + 110 + 140 + 150 + 80)/7 = 120\n3rd moving average from 2019-01-03 to 2019-01-09 has an average_amount of (120 + 130 + 110 + 140 + 150 + 80 + 110)/7 = 120\n4th moving average from 2019-01-04 to 2019-01-10 has an average_amount of (130 + 110 + 140 + 150 + 80 + 110 + 130 + 150)/7 = 142.86\n</pre>\n",
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            "difficulty": "Medium",
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            "exampleTestcases": "{\"headers\":{\"Customer\":[\"customer_id\",\"name\",\"visited_on\",\"amount\"]},\"rows\":{\"Customer\":[[1,\"Jhon\",\"2019-01-01\",100],[2,\"Daniel\",\"2019-01-02\",110],[3,\"Jade\",\"2019-01-03\",120],[4,\"Khaled\",\"2019-01-04\",130],[5,\"Winston\",\"2019-01-05\",110],[6,\"Elvis\",\"2019-01-06\",140],[7,\"Anna\",\"2019-01-07\",150],[8,\"Maria\",\"2019-01-08\",80],[9,\"Jaze\",\"2019-01-09\",110],[1,\"Jhon\",\"2019-01-10\",130],[3,\"Jade\",\"2019-01-10\",150]]}}",
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                    "lang": "MySQL",
                    "langSlug": "mysql",
                    "code": "# Write your MySQL query statement below\n",
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                {
                    "lang": "MS SQL Server",
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                {
                    "lang": "Oracle",
                    "langSlug": "oraclesql",
                    "code": "/* Write your PL/SQL query statement below */\n",
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                {
                    "lang": "Pandas",
                    "langSlug": "pythondata",
                    "code": "import pandas as pd\n\ndef restaurant_growth(customer: pd.DataFrame) -> pd.DataFrame:\n    ",
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                {
                    "lang": "PostgreSQL",
                    "langSlug": "postgresql",
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            "sampleTestCase": "{\"headers\":{\"Customer\":[\"customer_id\",\"name\",\"visited_on\",\"amount\"]},\"rows\":{\"Customer\":[[1,\"Jhon\",\"2019-01-01\",100],[2,\"Daniel\",\"2019-01-02\",110],[3,\"Jade\",\"2019-01-03\",120],[4,\"Khaled\",\"2019-01-04\",130],[5,\"Winston\",\"2019-01-05\",110],[6,\"Elvis\",\"2019-01-06\",140],[7,\"Anna\",\"2019-01-07\",150],[8,\"Maria\",\"2019-01-08\",80],[9,\"Jaze\",\"2019-01-09\",110],[1,\"Jhon\",\"2019-01-10\",130],[3,\"Jade\",\"2019-01-10\",150]]}}",
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                "Create table If Not Exists Customer (customer_id int, name varchar(20), visited_on date, amount int)",
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                "insert into Customer (customer_id, name, visited_on, amount) values ('1', 'Jhon', '2019-01-01', '100')",
                "insert into Customer (customer_id, name, visited_on, amount) values ('2', 'Daniel', '2019-01-02', '110')",
                "insert into Customer (customer_id, name, visited_on, amount) values ('3', 'Jade', '2019-01-03', '120')",
                "insert into Customer (customer_id, name, visited_on, amount) values ('4', 'Khaled', '2019-01-04', '130')",
                "insert into Customer (customer_id, name, visited_on, amount) values ('5', 'Winston', '2019-01-05', '110')",
                "insert into Customer (customer_id, name, visited_on, amount) values ('6', 'Elvis', '2019-01-06', '140')",
                "insert into Customer (customer_id, name, visited_on, amount) values ('7', 'Anna', '2019-01-07', '150')",
                "insert into Customer (customer_id, name, visited_on, amount) values ('8', 'Maria', '2019-01-08', '80')",
                "insert into Customer (customer_id, name, visited_on, amount) values ('9', 'Jaze', '2019-01-09', '110')",
                "insert into Customer (customer_id, name, visited_on, amount) values ('1', 'Jhon', '2019-01-10', '130')",
                "insert into Customer (customer_id, name, visited_on, amount) values ('3', 'Jade', '2019-01-10', '150')"
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