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IDC_21days-SQLChallenge

Prerequisite

MySQL :

  • To install on Mac OS, you can follow this YouTube video. Link
  • To install on Windows OS, you can follow this YouTube video. Link
    Note :
    • You can follow any video or other method to download and install. I just provided an example here to install. Install carefully as per your system requirements.
    • I have used MySQL Workbench 8.0 version 8.0.41.

21-day Challenge for SQL by IDC [Indian Data Club] sponsored by DPDzero

In this Repo, I have uploaded day-wise challenges and the solution using my approach.
The main aim is to improve SQL knowledge by doing problems, improving our approach and improving logic building

About the dataset: Link

It's a hospital data set. There are a total of 4 tables.

1. hospital_staff.csv – List of hospital staff
2. hospital_patients.csv – Patient records
3. hospital_service_weekly.csv – Weekly service-level data
4. hospital_staff_schedule.csv – Weekly schedule

Challenges List

First, create a database and table structure using the Code

Days Challenege Link
1 List all unique hospital services available in the hospital. Code
2 Find all patients admitted to the 'Surgery' service with a satisfaction score below 70, showing their patient_id, name, age, and satisfaction score. Code
3 Retrieve the top 5 weeks with the highest patient refusals across all services, showing week, service, patients_refused, and patients_request. Sort by patients_refused in descending order. Code
4 Find the 3rd to 7th highest patient satisfaction scores from the patients table, showing patient_id, name, service, and satisfaction. Display only these 5 records. Code
5 Calculate the total number of patients admitted, total patients refused, and the average patient satisfaction across all services and weeks.Round the average satisfaction to 2 decimal places. Code
6 For each hospital service, calculate the total number of patients admitted, total patients refused, and the admission rate ( percentage of requests that were admitted ). Order by admission rate descending. Code
7 Identify services that refused more than 100 patients in total and had an average patient satisfaction below 80. Show service name, total refused, and average satisfaction. Code
8 Create a patient summary that shows patient_id, full name in uppercase, service in lowercase, age category (if age >= 65 then 'Senior', if age >= 18 then 'Adult', else 'Minor'), and name length. Only show patients whose name length is greater than 10 characters. Code

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21 days Challenge for SQL by IDC [Indian Data Club ]

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