Health Analytics Case Study

This case study is contained within the Serious SQL by Danny Ma

📕 Table of contents

• 🛠️ Overview
• 🚀 Solutions
• 💻 Key Highlights

🛠️ Overview

With the Health Analytics Mini Case Study, I queried data to bring insights to the following questions:

1. How many unique users exist in the logs dataset?
2. How many total measurements do we have per user on average?
3. What about the median number of measurements per user?
4. How many users have 3 or more measurements?
5. How many users have 1,000 or more measurements?
6. Have logged blood glucose measurements?
7. Have at least 2 types of measurements?
8. Have all 3 measures - blood glucose, weight and blood pressure?
9. What is the median systolic/diastolic blood pressure values?

---

🚀 Solutions

How many unique users exist in the logs dataset?

SELECT COUNT (DISTINCT id)
FROM health.user_logs;

count
554

Note: For question 2-8, I created a temporary table:

Step 1: Firstly, I ran a code DROP TABLE IF EXISTS statement to clear out any previously created tables:

DROP TABLE IF EXISTS user_measure_count;

Step 2: Next, I created a new temporary table using the results of the query below:

CREATE TEMP TABLE user_measure_count AS
SELECT 
  id,
  COUNT(*) AS measure_count,
  COUNT (DISTINCT measure) AS unique_measures
FROM health.user_logs
GROUP BY 1;

How many total measurements do we have per user on average?

SELECT
  ROUND (AVG(measure_count), 2) AS mean_value
FROM user_measure_count;

mean_value
79.23

---

What about the median number of measurements per user?

SELECT 
   PERCENTILE_CONT(0.5) WITHIN GROUP (ORDER BY measure_count) AS median_value 
FROM user_measure_count;

median_value
2

How many users have 3 or more measurements?

SELECT COUNT(*)
FROM user_measure_count
WHERE measure_count >= 3;

count
209

How many users have 1,000 or more measurements?

SELECT COUNT(*)
FROM user_measure_count
WHERE measure_count >= 1000;

count
5

---

Have logged blood glucose measurements?

SELECT 
  COUNT(DISTINCT id)
FROM health.user_logs
WHERE measure = 'blood_glucose';

count
325

---

7. Have at least 2 types of measurements?

SELECT 
  COUNT(*)
FROM user_measure_count
WHERE unique_measures >= 2;

count
204

---

Have all 3 measures - blood glucose, weight and blood pressure?

SELECT
  COUNT(*)
FROM user_measure_count
WHERE unique_measures = 3;

count
50

---

What is the median systolic/diastolic blood pressure values?

SELECT
  PERCENTILE_CONT(0.5) WITHIN GROUP(ORDER BY systolic) AS median_systolic,
  PERCENTILE_CONT(0.5) WITHIN GROUP(ORDER BY diastolic) AS median_diastolic
FROM health.user_logs
WHERE measure = 'blood_pressure';

median_systolic	median_diastolic
126	79

---

💻 Key Highlight

Initial thoughts: Even though this is a short assignment which cover basic SQL syntax, I did run into problems several time during the solving process. However, it helped me to have a better understanding about data exploration using SQL from theories to real life application.

Some of the main areas covered in this case study, including:

• Sorting Values
• Inspect Row Counts
• Duplicates & Record Frequency Review
• Summary Statistics (MEAN, MEDIAN)