Visualization

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Visualization

Aravind Hebbali

2024-11-08

Introduction

In this document, we will introduce you to functions for generating different types of plots.

Data

We have modified the mtcars data to create a new data set mtcarz. The only difference between the two data sets is related to the variable types.

str(mtcarz)
#> '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 : Factor w/ 3 levels "4","6","8": 2 2 1 2 3 2 3 1 1 2 ...
#>  $ 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  : Factor w/ 2 levels "0","1": 1 1 2 2 1 2 1 2 2 2 ...
#>  $ am  : Factor w/ 2 levels "0","1": 2 2 2 1 1 1 1 1 1 1 ...
#>  $ gear: Factor w/ 3 levels "3","4","5": 2 2 2 1 1 1 1 2 2 2 ...
#>  $ carb: Factor w/ 6 levels "1","2","3","4",..: 4 4 1 1 2 1 4 2 2 4 ...

Continuous Data

The following functions will create plots for all or subset of continuous variables in the data set.

Histograms

ds_plot_histogram(mtcarz)

Density Plots

ds_plot_density(mtcarz)

Box Plots

ds_plot_box_single(mtcarz)

Scatter Plots

ds_plot_scatter(mtcarz, mpg, disp, hp)

Categorical Data

The following functions will create plots for all or subset of categorical variables in the data set.

Bar Plot

ds_plot_bar(mtcarz)

Stacked Bar Plot

ds_plot_bar_stacked(mtcarz, cyl, gear, am)

Grouped Bar Plot

ds_plot_bar_grouped(mtcarz, cyl, gear, am)

Grouped Box Plots

ds_plot_box_group(mtcarz, cyl, gear, mpg, disp)

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