Overview
A Streamlit application designed to support exploratory statistical analysis, from dataset preparation to model diagnostics and visual inspection.
Work / Python / Streamlit
Stats Analysis App
Interactive Streamlit application for exploratory statistical analysis, regression diagnostics, residual analysis, and time series visualization.
Problem
Statistical workflows can become fragmented across notebooks, scripts, and exported charts. This project brings common analysis steps into one navigable interface.
Approach
The app organizes the workflow around data preparation, exploratory analysis, regression diagnostics, residual analysis, and time series visualization.
Tools
- Python
- Streamlit
- Pandas
- Plotly
- Matplotlib
- Statsmodels
Key features / insights
- Dataset preparation and inspection
- Exploratory statistics and visual summaries
- Regression diagnostics and residual analysis
- Time series visualization