MPG Efficiency Explorer is a simple presentation about predicting fuel efficiency using vehicle data.

This project shows how a few car features can help estimate miles per gallon in a clear and practical way.

With fluctuating gas prices, understanding vehicle efficiency is important for both consumers and manufacturers.

Weight is often the enemy of efficiency, and engine size can also have a strong impact on fuel consumption.

Our app gives an instant, data-driven prediction so users can estimate MPG without doing manual calculations.

The application is built on the classic mtcars dataset, which contains measurements for 32 automobiles.

We use a small set of important variables, especially mpg, wt, and cyl, because they are useful for prediction.

##       mpg              wt             cyl       
##  Min.   :10.40   Min.   :1.513   Min.   :4.000  
##  1st Qu.:15.43   1st Qu.:2.581   1st Qu.:4.000  
##  Median :19.20   Median :3.325   Median :6.000  
##  Mean   :20.09   Mean   :3.217   Mean   :6.188  
##  3rd Qu.:22.80   3rd Qu.:3.610   3rd Qu.:8.000  
##  Max.   :33.90   Max.   :5.424   Max.   :8.000

##              Estimate Std. Error   t value     Pr(>|t|)
## (Intercept) 39.686261  1.7149840 23.140893 3.043182e-20
## wt          -3.190972  0.7569065 -4.215808 2.220200e-04
## cyl         -1.507795  0.4146883 -3.635972 1.064282e-03

The MPG Efficiency Explorer is designed to be simple and interactive.

It includes user-friendly sliders and buttons, visual feedback, and a quick comparison against the dataset.

The model is based on standard statistical methods, so the results are easy to explain and understand.

• Launch the Shiny App at [https://swarup-jhu.shinyapps.io/Coursera-Data-Product-Shiny-App/]
• View Source Code on GitHub [https://github.com/swarup-jhu/Data-Products-Shiny-Application].
• Thank You