A simple Python script that creates several data charts based on a personal Goodreads library export.
To run:
- Install listed requirements
- Replace the csv.template file with a csv export from Goodreads (the template includes the current expected columns from the export). To generate this export:
- In Goodreads, go to "My Books"
- Under Tools, select "Import and export"
- Click the "Export library" button
- Follow the generated link to your export
- Run the
process_data.pyfile
Several charts are created to supplement Goodreads' reading stats. Note that library data is expected to include at least some books with a read date.
Pages over time
A scatter plot displaying number of pages read over time so that those achievements of 1,000-page fantasy epics don't get averaged out with potato chip novellas.
Total books read by month
A line chart showing which months you've done the most vs. least reading. Combines data across years.
Top-read publishers
Collects the top publishers or imprints you've read most in a bar chart.
Rating regression
Linear regression comparing overall ratings and personal ratings to determine how well one might predict the other.