This project automates the processing and visualization of continuous glucose monitor (CGM) data. It uses Python and SQLite to create and maintain a database of readings, ensuring clean, consistent data for analysis.
The program:
- Detects the latest CSV file of glucose readings without manual renaming or file moves
- Validates data integrity by removing duplicates and checking for missing dates
- Restricts stored readings to the most recent 90 days, optimizing storage and relevance
- Exports the cleaned dataset for use in Tableau visualizations
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Create Database SQL Magic.ipynb
Jupyter Notebook for creating an SQLite database, adding a table, and inserting records. -
Dexcom Clarity Readings SQLite SQL Magic v2.ipynb
Python code that locates the newest data file in the downloads folder, processes it, and updates the SQLite database. Manual file handling is no longer required. -
Guide to Continuous Glucose Monitor Visualizations.pdf
A reference guide describing the visualization styles, analytical approaches, and commonly used CGM measures.
Explore the interactive Tableau dashboards here:
Tableau Public – CGM Data
Working with CGM Data: Python, SQLite, and Tableau in a 4-Part Series
Read the series here