MTCARS MPG Explorer is a small interactive Shiny app built for the Coursera course Developing Data Products.

Its goal is to turn the classic mtcars dataset into a quick exploration tool for fuel efficiency.

The app lets users:

• filtering cars by horsepower
• comparing automatic and manual transmission groups
• focusing on selected gear counts
• visualizing the relationship between car weight and fuel economy

Fuel economy is not driven by one variable alone.

Instead of reading a static table, users can interactively explore how vehicle weight, horsepower, gears, and transmission type influence miles per gallon.

This makes the app useful for:

• learning exploratory data analysis with a familiar dataset
• understanding simple relationships in automotive performance data
• seeing how filters change both plots and summary statistics in real time

The app uses the built-in mtcars dataset, so it is fully reproducible without external downloads.

The deployed Shiny app is available here:

https://img-mgt.shinyapps.io/mtcars-mpg-explorer/

summary(mtcars[, c("mpg", "hp", "wt", "gear")])

##       mpg              hp              wt             gear      
##  Min.   :10.40   Min.   : 52.0   Min.   :1.513   Min.   :3.000  
##  1st Qu.:15.43   1st Qu.: 96.5   1st Qu.:2.581   1st Qu.:3.000  
##  Median :19.20   Median :123.0   Median :3.325   Median :4.000  
##  Mean   :20.09   Mean   :146.7   Mean   :3.217   Mean   :3.688  
##  3rd Qu.:22.80   3rd Qu.:180.0   3rd Qu.:3.610   3rd Qu.:4.000  
##  Max.   :33.90   Max.   :335.0   Max.   :5.424   Max.   :5.000

One of the clearest patterns in mtcars is that heavier cars tend to have lower fuel economy.

The regression line highlights the negative association between weight and MPG.

The Shiny app includes:

• a horsepower range slider
• transmission filters
• gear filters
• a plotted regression line
• a filtered table and summary statistics

Together, these features make the application a compact but effective interactive data product.