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Create 1934. Confirmation Rate.md
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Mohsem35 committed Apr 15, 2024
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#### 1934. Confirmation Rate

Table: Sig nups


| Column Name | Type |
|----------------|----------|
| user_id | int |
| time_stamp | datetime |

user_id is the column of unique values for this table.
Each row contains information about the signup time for the user with ID user_id.



Table: Confirmations


| Column Name | Type |
|----------------|----------|
| user_id | int |
| time_stamp | datetime |
| action | ENUM |

(user_id, time_stamp) is the primary key (combination of columns with unique values) for this table.
user_id is a foreign key (reference column) to the Signups table.
action is an ENUM (category) of the type ('confirmed', 'timeout')
Each row of this table indicates that the user with ID user_id requested a confirmation message at time_stamp and that confirmation message was either confirmed ('confirmed') or expired without confirming ('timeout').



The confirmation rate of a user is the number of 'confirmed' messages divided by the total number of requested confirmation messages. The confirmation rate of a user that did not request any confirmation messages is 0. Round the confirmation rate to two decimal places.

Write a solution to find the confirmation rate of each user.

Return the result table in any order.

The result format is in the following example.



Example 1:

Input:
Signups table:

| user_id | time_stamp |
|---------|---------------------|
| 3 | 2020-03-21 10:16:13 |
| 7 | 2020-01-04 13:57:59 |
| 2 | 2020-07-29 23:09:44 |
| 6 | 2020-12-09 10:39:37 |

Confirmations table:

| user_id | time_stamp | action |
|---------|---------------------|-----------|
| 3 | 2021-01-06 03:30:46 | timeout |
| 3 | 2021-07-14 14:00:00 | timeout |
| 7 | 2021-06-12 11:57:29 | confirmed |
| 7 | 2021-06-13 12:58:28 | confirmed |
| 7 | 2021-06-14 13:59:27 | confirmed |
| 2 | 2021-01-22 00:00:00 | confirmed |
| 2 | 2021-02-28 23:59:59 | timeout |

Output:

| user_id | confirmation_rate |
|---------|-------------------|
| 6 | 0.00 |
| 3 | 0.00 |
| 7 | 1.00 |
| 2 | 0.50 |

Explanation:
User 6 did not request any confirmation messages. The confirmation rate is 0.
User 3 made 2 requests and both timed out. The confirmation rate is 0.
User 7 made 3 requests and all were confirmed. The confirmation rate is 1.
User 2 made 2 requests where one was confirmed and the other timed out. The confirmation rate is 1 / 2 = 0.5.


```sql
SELECT s.user_id, ROUND(AVG(CASE WHEN c.action = 'confirmed' THEN 1 ELSE 0 END),2) AS confirmation_rate
FROM signups s
LEFT JOIN confirmation c ON s.user_id = c.user_id
GROUP BY 1;
```

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