This presentation is the Course Project of the Developing Data Products course on Coursera.
It is an R Presentation generated with RStudio.
The Shiny application is available at MPG Prediction App.
The Shiny app source code is available at GitHub Repository. —

The application is written in Shiny, a web application framework for R.
The source code consists of a single file: app.R, which includes both the UI and server logic.
The application is hosted on RStudio’s shiny server.
The goal is to provide a user-friendly interface to predict miles per gallon (MPG) based on horsepower and weight. —

Side Panel

• Horsepower Slider: Select horsepower (range from 50 to 300).
• Weight Slider: Select weight (range from 1 to 6 in thousands of lbs). ### Main Panel

You can access the Shiny app at MPG Prediction App.
Users can enter different values for horsepower and weight, and observe how the predicted MPG changes in real-time.

Example Prediction

## [1] 20.5

The MPG Prediction App demonstrates the effectiveness of R and Shiny in creating interactive tools for predicting miles per gallon based on horsepower and weight.

Users can easily adjust input values and see real-time predictions, highlighting the app’s user-friendly design. For further exploration, access the app at MPG Prediction App and the source code on GitHub Repository. —