Histogram Chart

Histograms offer a visual representation of the frequency distribution of a univariable set of observations which give us insights into how the data is distributed.

In ggplot2 , the geom_histogram is used to create a histogram chart. For this demonstration, I use the ggthemr library to beautify the visualization using the template dust. See implementation below

library(ggplot2)
library(ggthemr)

ggthemr('dust')

#generating random data 
x = rnorm(200, mean = 30, sd = 1)


# Generating histogram Plot 
base <- ggplot(mapping = aes(x)) + 
        geom_histogram( bins = 15, color="black" ) + 
        ggtitle("Distribution of rnorm(200, mean = 30, sd = 1)")

base + xlab('x_values') + ylab('counts')