Real Python2 min readtutorialintermediate
Automating EDA With fg-data-profiling
Summary
The Real Python course shows how to automate exploratory data analysis using the fg-data-profiling library. It walks through building, exporting, time‑series profiling, and comparing reports with concise code examples.
- Create an EDA report with `ProfileReport(df)` and export to HTML or JSON via `.to_file()`.
- Enable time‑series analysis by setting `tsmode=True` and providing a date column with `sortby`.
- Use `.compare(df1, df2)` to generate side‑by‑side reports that highlight distribution shifts.
- Customize visualizations and warnings through the library’s configuration options.
Data engineers and analysts who need fast, reproducible EDA pipelines will save time by automating reports with fg-data-profiling.
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