Practical patterns for analyzing and plotting data.
Guides data analysis, statistical modeling, and visualization with reusable code examples and best practices.
When to use it
Use for analytics, visualization, statistics, pandas, NumPy, machine learning, or feature engineering work.
It changes how the agent writes data analysis code, emphasizing exploration, data quality, documented cleaning, and validated assumptions.
What you provide
The code examples use Python; no runtime version is specified.
The data cleaning and exploration examples import pandas for DataFrame operations.
The examples import NumPy for numerical operations.
The plotting examples import Matplotlib's pyplot module.
No additional actions listed.