October 21, 2017

Introduction

In this shiny app, the data in mtcars dataset is displayed in graphical form. Mtcars data set has 11 variables and 32 observations each. The user can view each variable as a histogram by clicking on the choice of radio button. Please note, use google chrome to view the app

Exploring mtcars dataset

data(mtcars) 
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 ...

Example graph explained

The graph shown below,is the graph displayed with the first radio button. It shows that the 20 mpg appears with the topmost frequency of 12 cars out of 32

Conclusion

I chose to do a simple app with mtcars as it was one of the first datasets I got familiar with, when I started the data science specialization track. Although a simple app, the histograms provide a lot of insight on the types and frequencies of data in mtcars dataset.