How to plot histogram in R?
This recipe helps you plot histogram in R
Recipe Objective
Histogram is a type of visual representation where frequency distribution of any numerical data is plotted. The plot includes frequency on the y-axis and bars on the x-axis where the height of the bars corresponds to it's frequency. The bars indicate the range of values which are also known as bins.
This recipe demonstrates how to plot a histogram in R-language with an example dataset
Build Expedia Hotel Recommendation System using Machine Learning
STEP 1: Loading required library and dataset
# Data manipulation package
library(tidyverse)
# reading a dataset
customer_seg = read.csv('R_99_Mall_Customers.csv')
glimpse(customer_seg)
Rows: 200 Columns: 5 $ CustomerID 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 1... $ Gender Male, Male, Female, Female, Female, Female, ... $ Age 19, 21, 20, 23, 31, 22, 35, 23, 64, 30, 67, ... $ Annual.Income..k.. 15, 15, 16, 16, 17, 17, 18, 18, 19, 19, 19, ... $ Spending.Score..1.100. 39, 81, 6, 77, 40, 76, 6, 94, 3, 72, 14, 99,...
Step 2: Plotting a histogram of Age variable
Using hist() function to plot distribution of Age variable
Syntax:
hist(X, type, col, main, xlab, ylab)
where,
- X = Variable - dataframe
- col = colour of bar
- main = title of the graph
- xlab = xlabel of the plot
- breaks = binsize
hist(customer_seg$Age, col = 'red', main = 'Histogram of Age', xlab = 'Age', breaks = 5)
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