### Problem
Report visited_on, amount and average_amount for each complete seven-day window ending on visited_on. amount sums all customer payments over that day and the preceding six days; average_amount divides by7 and rounds to two decimals. At least one customer visits on every calendar date between the first and last recorded visits. Visit dates are finite. A NULL payment contributes zero to recorded revenue, and the visit still counts toward daily coverage. Sort visited_on ascending.
### Tables
Table: `Customer`
```text
+---------------+---------+
| Column Name | Type |
+---------------+---------+
| customer_id | int |
| name | varchar |
| visited_on | date |
| amount | int |
+---------------+---------+
In SQL,(customer_id, visited_on) is the primary key for this table.
This table contains data about customer transactions in a restaurant.
visited_on is the date on which the customer with ID (customer_id) has visited the restaurant.
amount is the total paid by a customer.
```
### Example
```text
Customer (customer_id,name,visited_on,amount):
(1,A,2021-01-01,10), (1,A,2021-01-02,20), (1,A,2021-01-03,30), (1,A,2021-01-04,40), (1,A,2021-01-05,50), (1,A,2021-01-06,60), (1,A,2021-01-07,70), (2,B,2021-01-07,7), (1,A,2021-01-08,80)
Output (visited_on,amount,average_amount): (2021-01-07,287,41.00), (2021-01-08,357,51.00)
```
### What a Strong Answer Covers
- Include every payment recorded on each of the seven calendar dates.
- Return only complete windows and preserve the required date order and rounding.
### Follow-up Questions
- How would you report every day if the restaurant sometimes closed?
- How would you calculate the same metrics separately for each location?
Overview: Report total revenue and average daily revenue for each complete seven-day restaurant window.
Report visited_on, amount and average_amount for each complete seven-day window ending on visited_on. amount sums all customer payments over that day and the preceding six days; average_amount divides by7 and rounds to two decimals. At least one customer visits on every calendar date between the first and last recorded visits. Visit dates are finite. A NULL payment contributes zero to recorded revenue, and the visit still counts toward daily coverage. Sort visited_on ascending.
Tables
Table: Customer
+---------------+---------+
| Column Name | Type |
+---------------+---------+
| customer_id | int |
| name | varchar |
| visited_on | date |
| amount | int |
+---------------+---------+
In SQL,(customer_id, visited_on) is the primary key for this table.
This table contains data about customer transactions in a restaurant.
visited_on is the date on which the customer with ID (customer_id) has visited the restaurant.
amount is the total paid by a customer.