Make your data analysis clear and reproducible.
What it does
Guides data analysis toward reproducible workflows, validated data, clear visualizations, and documented decisions.
How to use it
It changes how the agent writes, validates, visualizes, and documents data analysis in the project.
What you provide
- An existing project
Latest review
What you need · 5
Uses pandas for data manipulation, including method chaining, vectorized operations, selection, and aggregation.
Uses NumPy for array operations, broadcasting, vectorized functions, and dtype selection.
Uses Matplotlib for plotting, axis and label customization, figure saving, and subplots.
Uses Seaborn for statistical visualizations, plot selection, themes, and color palettes.
Access · 0
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