This document was developed in the context of the Data Science Specialization on Coursera.
For the 9th topic, Developing Data Products, a Shiny Application had to be developed.
The Shiny app can be found through this link:
04/02/2021
This document was developed in the context of the Data Science Specialization on Coursera.
For the 9th topic, Developing Data Products, a Shiny Application had to be developed.
The Shiny app can be found through this link:
The data used for this project was the mtcars dataset, available in RStudio.
## 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
The app is hosted on shinyapps.io.
The users selects both the X and Y Variables of his choice.
The X Variable has to be selected from a list of radio buttons, whereas the Y Variable is to be selected from a dropdown list.
The user then selects the number of clusters he wants to see appear in the graph (from 1 to 9), using the slider.
In order to submit his choices, the user has to click the “Submit your choices” button.