Awesome Statistics Dashboard
Interactive R Shiny dashboard for regression diagnostics, model selection, and statistical visualization
The Awesome Statistics Dashboard is an interactive web application built with R Shiny that provides comprehensive statistical analysis tools, from exploratory data analysis to advanced regression diagnostics and time series forecasting.
🔗 Launch the Live Dashboard
Features
| Tab | Description |
|---|---|
| Data Summary | Overview statistics and data structure |
| Pairwise Plots | Correlation matrix and scatterplot grid |
| Model Results | Coefficients, p-values, R² statistics |
| Model Selection | Stepwise AIC/BIC for variable selection |
| Diagnostics | Residual plots, VIF, Cook’s Distance |
| Group Comparison | ANOVA for categorical predictors |
| Time Series | ARIMA modeling and forecasting |
| Prediction | Generate predictions from fitted models |
Methodology
The dashboard applies rigorous regression techniques following best practices taught by Dr. Tyler Cook at the University of Central Oklahoma. Key diagnostic checks include:
- Variance Inflation Factor (VIF)
- Cook’s Distance
- Box-Cox transformations
- Stepwise selection
The Shiny visualization framework and visualization practices was developed by following best practices taught by Dr. Sean Laverty.
Technical Details
- Language: R
- Framework: Shiny, bslib
- Packages: MASS, car, forecast, palmerpenguins
- Deployment: shinyapps.io
- Application: Statistical analysis, regression diagnostics, data visualization