• How do various factors affect fuel efficiency (MPG) in vehicles?
• The mtcars dataset provides valuable insights, but static analysis is limited.
• We need an interactive tool to explore relationships and build regression models.

Solution:

• A Shiny app that allows users to:
  • Visualize relationships between MPG and other variables.
  • Fit and visualize regression models dynamically.

• Interactive BoxPlot: Visualizes the relationship between MPG and selected variables.
• Regression Model: Displays linear model fit with adjustable input.
• Dynamic Controls:
  • Select variable to analyze.
  • Option to display outliers in the BoxPlot.

Technologies Used:
- R for data analysis.
- Shiny for interactivity.
- mtcars dataset as the data source. —

• Interactive Analysis: The app allows users to explore data in real time.
• Next Steps: Host the app on shinyapps.io for public access.

GitHub Repository: GitHub Link

Thank you!
I hope you enjoy the Shiny app.