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How to visualize the normality of a column of an R data frame?
The first step to analyze a variable is checking whether it is normally distributed or not and to visually do this, we create a histogram. If the histogram depicts a bell then we consider that the variable is normally distributed otherwise, it is not. We can create a histogram for any column of an R data frame by using hist function.
Example
Consider the below data frame −
set.seed(9) df<-data.frame(x1=rbinom(100,50,0.7),x2=rbinom(1000,50,0.7),x3=rbinom(5000,50,0.7))
Creating the histograms for x1, x2, and x3 −
hist(df$x1)
Output
hist(df$x2)
Output
hist(df$x3)
Output
Updated on: 21-Aug-2020
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