Overview
This is an early-stage data analysis practice project focused on the complete reasoning process: understanding variables, checking data quality, summarizing distributions, creating readable visualizations, and separating descriptive patterns from stronger statistical conclusions.
Current Scope
- Descriptive statistics and distribution summaries
- Basic data cleaning with pandas
- Exploratory visualization with matplotlib
- Written interpretation of visible patterns and uncertainty
The project is intentionally presented with a low profile until it is anchored to a concrete public dataset and a more complete analysis.
Next Steps
- Choose and document a concrete dataset
- Add uncertainty-aware comparisons
- Publish a concise analysis with reproducible code