2051. The Category of Each Member in the Store π
Description
Table: Members
+-------------+---------+ | Column Name | Type | +-------------+---------+ | member_id | int | | name | varchar | +-------------+---------+ member_id is the column with unique values for this table. Each row of this table indicates the name and the ID of a member.
Table: Visits
+-------------+------+ | Column Name | Type | +-------------+------+ | visit_id | int | | member_id | int | | visit_date | date | +-------------+------+ visit_id is the column with unique values for this table. member_id is a foreign key (reference column) to member_id from the Members table. Each row of this table contains information about the date of a visit to the store and the member who visited it.
Table: Purchases
+----------------+------+ | Column Name | Type | +----------------+------+ | visit_id | int | | charged_amount | int | +----------------+------+ visit_id is the column with unique values for this table. visit_id is a foreign key (reference column) to visit_id from the Visits table. Each row of this table contains information about the amount charged in a visit to the store.
A store wants to categorize its members. There are three tiers:
- "Diamond": if the conversion rate is greater than or equal to
80
. - "Gold": if the conversion rate is greater than or equal to
50
and less than80
. - "Silver": if the conversion rate is less than
50
. - "Bronze": if the member never visited the store.
The conversion rate of a member is (100 * total number of purchases for the member) / total number of visits for the member
.
Write a solution to report the id, the name, and the category of each member.
Return the result table in any order.
The result format is in the following example.
Example 1:
Input: Members table: +-----------+---------+ | member_id | name | +-----------+---------+ | 9 | Alice | | 11 | Bob | | 3 | Winston | | 8 | Hercy | | 1 | Narihan | +-----------+---------+ Visits table: +----------+-----------+------------+ | visit_id | member_id | visit_date | +----------+-----------+------------+ | 22 | 11 | 2021-10-28 | | 16 | 11 | 2021-01-12 | | 18 | 9 | 2021-12-10 | | 19 | 3 | 2021-10-19 | | 12 | 11 | 2021-03-01 | | 17 | 8 | 2021-05-07 | | 21 | 9 | 2021-05-12 | +----------+-----------+------------+ Purchases table: +----------+----------------+ | visit_id | charged_amount | +----------+----------------+ | 12 | 2000 | | 18 | 9000 | | 17 | 7000 | +----------+----------------+ Output: +-----------+---------+----------+ | member_id | name | category | +-----------+---------+----------+ | 1 | Narihan | Bronze | | 3 | Winston | Silver | | 8 | Hercy | Diamond | | 9 | Alice | Gold | | 11 | Bob | Silver | +-----------+---------+----------+ Explanation: - User Narihan with id = 1 did not make any visits to the store. She gets a Bronze category. - User Winston with id = 3 visited the store one time and did not purchase anything. The conversion rate = (100 * 0) / 1 = 0. He gets a Silver category. - User Hercy with id = 8 visited the store one time and purchased one time. The conversion rate = (100 * 1) / 1 = 1. He gets a Diamond category. - User Alice with id = 9 visited the store two times and purchased one time. The conversion rate = (100 * 1) / 2 = 50. She gets a Gold category. - User Bob with id = 11 visited the store three times and purchased one time. The conversion rate = (100 * 1) / 3 = 33.33. He gets a Silver category.
Solutions
Solution 1
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |
|