This a presentation to show how my shiny app works. The app is directly hosted to shinyapps.io:

https://aashay.shinyapps.io/DDPAssignment/

The code for the app can be viewed on github:

https://github.com/aashay15/DDPCourseraProject/tree/master/DDPAssignment

• The mtcars data set contain information of different aspects of a car like (mpg, cylinders, horsepower HP):

##                    mpg cyl disp  hp drat    wt  qsec vs am gear carb
## Mazda RX4         21.0   6  160 110 3.90 2.620 16.46  0  1    4    4
## Mazda RX4 Wag     21.0   6  160 110 3.90 2.875 17.02  0  1    4    4
## Datsun 710        22.8   4  108  93 3.85 2.320 18.61  1  1    4    1
## Hornet 4 Drive    21.4   6  258 110 3.08 3.215 19.44  1  0    3    1
## Hornet Sportabout 18.7   8  360 175 3.15 3.440 17.02  0  0    3    2
## Valiant           18.1   6  225 105 2.76 3.460 20.22  1  0    3    1

• Basically this is a simple app which fits two linear models to the mtcars data set, the predictor is chosen to be mpg in model 1 and in model 2 I have tweaked the conditions a bit to fit a spline model.

• We are predicting HP values using our predictor.

Many more things can be done using interactive graphics and shinyapps such as a more complicated model like RF or Decision Tree can be fitted to predict the number of cylinders given any of the predictor but this kind of stuff can be computer intensive and so I chose to deploy a short and simple app.