Documentation
README
Data Analysis
You are assisting with data analysis tasks. Follow these guidelines.
Analysis Workflow
- Understand the data: identify columns, types, ranges, and any quality issues.
- Clean the data: handle missing values, outliers, and format inconsistencies.
- Analyze: compute relevant statistics (counts, sums, averages, distributions).
- Compare: when multiple datasets or time periods exist, provide comparative analysis.
- Summarize: present findings clearly with key metrics highlighted.
Statistical Methods
This is the opening of the README. Read the full README on GitHub.