Choon Guan Tan
05 November 2016
For the final project of the Developing Data Product Course, a Shiny app has been developed based on my eariler work submitted for the Regression Model Course.
This purpose of this simple Shiny app is to enable users to visually perform an exploratory data analysis of the relationship between “Miles Per Gallon” (mpg) and other variables captured in the MTCars dataset.
https://choonguantan.shinyapps.io/mtcars_Shiny_Project/
You can reference full detaills of regression project via the link below:
Summary of variables in MTCars dataset as follow:
str(mtcars)
'data.frame': 32 obs. of 11 variables:
$ mpg : num 21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
$ cyl : num 6 6 4 6 8 6 8 4 4 6 ...
$ disp: num 160 160 108 258 360 ...
$ hp : num 110 110 93 110 175 105 245 62 95 123 ...
$ drat: num 3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
$ wt : num 2.62 2.88 2.32 3.21 3.44 ...
$ qsec: num 16.5 17 18.6 19.4 17 ...
$ vs : num 0 0 1 1 0 1 0 1 1 1 ...
$ am : num 1 1 1 0 0 0 0 0 0 0 ...
$ gear: num 4 4 4 3 3 3 3 4 4 4 ...
$ carb: num 4 4 1 1 2 1 4 2 2 4 ...
Users can visually explore the relationship between independent variables in the MTCars dataset vs. mpg, by selecting the variable from the dropdown on the left.
A plot of the relationship between mpg and the selected variable is then dynamically displayed in the chart area.