Developing Data Products Week 4 Course Project

The purpose of this presentation is to pitch the Shiny App developed for Coursera.

This is not a mind-blowing app, but instead just another example of how the code can be used.

The goal is to have multiple interactions that affect the outcome based on user input.

The data used in this app is drawn from the USArrests dataset, which is one of the built-in data sets.

summary(USArrests)

     Murder          Assault         UrbanPop          Rape      
 Min.   : 0.800   Min.   : 45.0   Min.   :32.00   Min.   : 7.30  
 1st Qu.: 4.075   1st Qu.:109.0   1st Qu.:54.50   1st Qu.:15.07  
 Median : 7.250   Median :159.0   Median :66.00   Median :20.10  
 Mean   : 7.788   Mean   :170.8   Mean   :65.54   Mean   :21.23  
 3rd Qu.:11.250   3rd Qu.:249.0   3rd Qu.:77.75   3rd Qu.:26.18  
 Max.   :17.400   Max.   :337.0   Max.   :91.00   Max.   :46.00  

The app will display a plot similar to the one below.

The user is able to toggle the trendline on the plot and use a slider to specify a predicted value.

Thanks for reading through this! I really appreciate it.