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104 lines
4.5 KiB
HTML
104 lines
4.5 KiB
HTML
<p>Table: <code>Trips</code></p>
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<pre>
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+-------------+----------+
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| Column Name | Type |
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+-------------+----------+
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| id | int |
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| client_id | int |
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| driver_id | int |
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| city_id | int |
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| status | enum |
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| request_at | date |
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+-------------+----------+
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id is the primary key (column with unique values) for this table.
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The table holds all taxi trips. Each trip has a unique id, while client_id and driver_id are foreign keys to the users_id at the Users table.
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Status is an ENUM (category) type of ('completed', 'cancelled_by_driver', 'cancelled_by_client').
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</pre>
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<p> </p>
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<p>Table: <code>Users</code></p>
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<pre>
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+-------------+----------+
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| Column Name | Type |
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+-------------+----------+
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| users_id | int |
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| banned | enum |
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| role | enum |
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+-------------+----------+
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users_id is the primary key (column with unique values) for this table.
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The table holds all users. Each user has a unique users_id, and role is an ENUM type of ('client', 'driver', 'partner').
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banned is an ENUM (category) type of ('Yes', 'No').
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</pre>
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<p> </p>
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<p>The <strong>cancellation rate</strong> is computed by dividing the number of canceled (by client or driver) requests with unbanned users by the total number of requests with unbanned users on that day.</p>
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<p>Write a solution to find the <strong>cancellation rate</strong> of requests with unbanned users (<strong>both client and driver must not be banned</strong>) each day between <code>"2013-10-01"</code> and <code>"2013-10-03"</code>. Round <code>Cancellation Rate</code> to <strong>two decimal</strong> points.</p>
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<p>Return the result table in <strong>any order</strong>.</p>
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<p>The result format is in the following example.</p>
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<p> </p>
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<p><strong class="example">Example 1:</strong></p>
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<pre>
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<strong>Input:</strong>
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Trips table:
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+----+-----------+-----------+---------+---------------------+------------+
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| id | client_id | driver_id | city_id | status | request_at |
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+----+-----------+-----------+---------+---------------------+------------+
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| 1 | 1 | 10 | 1 | completed | 2013-10-01 |
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| 2 | 2 | 11 | 1 | cancelled_by_driver | 2013-10-01 |
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| 3 | 3 | 12 | 6 | completed | 2013-10-01 |
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| 4 | 4 | 13 | 6 | cancelled_by_client | 2013-10-01 |
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| 5 | 1 | 10 | 1 | completed | 2013-10-02 |
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| 6 | 2 | 11 | 6 | completed | 2013-10-02 |
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| 7 | 3 | 12 | 6 | completed | 2013-10-02 |
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| 8 | 2 | 12 | 12 | completed | 2013-10-03 |
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| 9 | 3 | 10 | 12 | completed | 2013-10-03 |
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| 10 | 4 | 13 | 12 | cancelled_by_driver | 2013-10-03 |
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+----+-----------+-----------+---------+---------------------+------------+
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Users table:
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+----------+--------+--------+
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| users_id | banned | role |
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+----------+--------+--------+
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| 1 | No | client |
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| 2 | Yes | client |
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| 3 | No | client |
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| 4 | No | client |
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| 10 | No | driver |
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| 11 | No | driver |
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| 12 | No | driver |
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| 13 | No | driver |
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+----------+--------+--------+
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<strong>Output:</strong>
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+------------+-------------------+
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| Day | Cancellation Rate |
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+------------+-------------------+
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| 2013-10-01 | 0.33 |
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| 2013-10-02 | 0.00 |
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| 2013-10-03 | 0.50 |
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+------------+-------------------+
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<strong>Explanation:</strong>
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On 2013-10-01:
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- There were 4 requests in total, 2 of which were canceled.
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- However, the request with Id=2 was made by a banned client (User_Id=2), so it is ignored in the calculation.
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- Hence there are 3 unbanned requests in total, 1 of which was canceled.
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- The Cancellation Rate is (1 / 3) = 0.33
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On 2013-10-02:
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- There were 3 requests in total, 0 of which were canceled.
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- The request with Id=6 was made by a banned client, so it is ignored.
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- Hence there are 2 unbanned requests in total, 0 of which were canceled.
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- The Cancellation Rate is (0 / 2) = 0.00
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On 2013-10-03:
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- There were 3 requests in total, 1 of which was canceled.
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- The request with Id=8 was made by a banned client, so it is ignored.
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- Hence there are 2 unbanned request in total, 1 of which were canceled.
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- The Cancellation Rate is (1 / 2) = 0.50
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</pre>
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