How to Make a Histogram with base R using the hist() function Let’s look at the first few rows of data using the head() function head(home_data, 5) We can also specify that we only want to store the columns we are interested in for this tutorial price and condition. We can read the data using the read.csv() function, either directly from the URL or by downloading the csv file into a directory and reading it from our local storage. We will be using this housing dataset which includes details about different house listings, including the size of the house, the number of rooms, the price, and location information. A key difference between the two is that bar charts have a value associated with a specific category or discrete variable, while a histogram visualizes frequencies for continuous variables. Histograms allow us to see the count of observations in data within ranges that the variable spans. What is a histogram?Ī histogram is a very popular graph that is used to show frequency distributions across continuous (numeric) variables. Practice how to make a histogram in R with this hands-on exercise. In most cases, you should use ggplot2, as covered in the How to make a histogram in R in ggplot2 tutorial. This approach is only recommended when additional packages cannot be used or for quick exploratory analyses. We will be using the base R programming language with no additional packages.

We will cover what a histogram is, how to read data in R, how to create a histogram, and how to customize the plot. In this tutorial, we will be visualizing distributions of data by plotting histograms using the R programming language.

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