MPG Predictor App

A Simple Interactive Shiny App

Predict car fuel efficiency based on weight and horsepower.

Created as part of the Johns Hopkins Data Science Specialization
Developing Data Products – Week 4

What the App Does

• Built using R Shiny
• Uses the built-in mtcars dataset
  
• Predicts Miles per Gallon (MPG)
  
• Displays both numeric prediction and visual plot
  
• User-friendly interface

How It Works

• Linear regression model trained on mtcars:

model <- lm(mpg ~ wt + hp, data = mtcars)
summary(model)$coefficients

##                Estimate Std. Error   t value     Pr(>|t|)
## (Intercept) 37.22727012 1.59878754 23.284689 2.565459e-20
## wt          -3.87783074 0.63273349 -6.128695 1.119647e-06
## hp          -0.03177295 0.00902971 -3.518712 1.451229e-03

App Output

• Input sliders: Weight and Horsepower
  
• Click Predict MPG
  
• Output shows:
  • Predicted MPG value
    
  • Scatter plot of dataset and prediction point

Access the App

• Shiny App: https://anishsinghal501.shinyapps.io/developing_data_week_4/
  
• GitHub Repo: http://github.com/singhal501/mpgPredictor
  
• Presentation: https://rpubs.com/Anish001/1362221