The course project is a two part peer-graded assignment:

• Create a Shiny application and deploy it on RStudio’s servers

• Use Slidify or RStudio Presenter to prepare a reproducible pitch presentation about your application.

The name of the Shiny application developed for this project is the Motor Trend Data Analysis Application and is hosted on RStudio’s shinyapps.io hosted service:

https://sdmuzel.shinyapps.io/shiny-app/

Motor Trend Data Analysis is an interactive Shiny application that uses linear regression modeling techniques to estimate fuel consumption (MPG) in 32 automobiles (1973-74 models) based on 11 aspects of automobile design and performance.

Miles/(US) gallon Number of cylinders Displacement (cu.in.) Gross horsepower, Rear axle ratio Weight (1000 lbs) 1/4 mile time“), Engine (0 = V-shaped, 1 = straight)”), Transmission (0 = automatic, 1 = manual) Number of forward gears Number of carburetors")