Problem
Table: Appointments
+----------------+---------+
| Column Name | Type |
+----------------+---------+
| appointment_id | int |
| patient_id | int |
| doctor_id | int |
| appointment_date | date |
| status | enum |
+----------------+---------+
appointment_id is the primary key (column with unique values) for this table.
patient_id is the ID of the patient who has the appointment.
doctor_id is the ID of the doctor with whom the appointment is booked.
appointment_date is the date when the appointment is scheduled.
status is an ENUM (category) of type ('Completed', 'Cancelled', 'No-Show').Problem Definition
Write a solution to find the number of times each patient missed their appointments (status = ‘No-Show’).
The result should include the patient_id along with the count of missed appointments as no_shows. If a patient has never missed an appointment, their record should not appear in the output.
Return the result table ordered by patient_id in ascending order.
Example
Input:
Appointments table:
+----------------+------------+-----------+------------------+----------+
| appointment_id | patient_id | doctor_id | appointment_date | status |
+----------------+------------+-----------+------------------+----------+
| 1 | 1 | 101 | 2020-09-01 | Completed|
| 2 | 2 | 102 | 2020-09-01 | No-Show |
| 3 | 1 | 103 | 2020-09-02 | Cancelled|
| 4 | 3 | 101 | 2020-09-02 | No-Show |
| 5 | 2 | 103 | 2020-09-03 | No-Show |
| 6 | 3 | 102 | 2020-09-03 | Completed|
+----------------+------------+-----------+------------------+----------+Output:
+------------+----------+
| patient_id | no_shows |
+------------+----------+
| 2 | 2 |
| 3 | 1 |
+------------+----------+Try It Yourself
Database Exercise
Database Schema:
-- Database schema would be rendered hereExercise Script:
-- Exercise script would be rendered hereAvailable actions: Execute
Solution
To solve this problem, we use SQL queries to analyze the Appointments table and calculate the number of times each patient missed their appointments (where status = ‘No-Show’).
The solution involves using the WHERE clause to filter the Appointments table records where the status is ‘No-Show’. The COUNT function is then applied to count the number of ‘No-Show’ appointments for each patient_id.
The results are grouped by patient_id using the GROUP BY clause to ensure that the count is calculated for each patient individually. Finally, the ORDER BY clause is employed to sort the resulting records by patient_id in ascending order, as specified in the problem statement.
SELECT patient_id,
COUNT(*) AS no_shows
FROM Appointments
WHERE status = 'No-Show'
GROUP BY patient_id
ORDER BY patient_id ASC; Let’s break down the query step by step:
Step 1: Filtering ‘No-Show’ Appointments
We filter out the records in the Appointments table where the status column is ‘No-Show’.
WHERE status = 'No-Show'Step 2: Grouping by Patient ID
We group the results by patient_id to calculate the count of ‘No-Show’ appointments for each patient.
GROUP BY patient_idStep 3: Counting ‘No-Show’ Appointments for Each Patient
We apply the COUNT function to count the number of ‘No-Show’ appointments for each patient.
COUNT(*) AS no_showsStep 4: Ordering the Result
Finally, we order the results by patient_id in ascending order to comply with the problem statement.
ORDER BY patient_id ASCFinal Output:
+------------+----------+
| patient_id | no_shows |
+------------+----------+
| 2 | 2 |
| 3 | 1 |
+------------+----------+This final result table lists each patient along with the number of appointments they missed, sorted by the patient ID.