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Data Visualizations with ggplot2 in R

Boxplot

Explore how to create detailed boxplots in ggplot2 using the housing dataset. Understand boxplot components like quartiles, whiskers, and outliers, and learn to customize appearance, add color groups, adjust transparency, and include jittered data points for enhanced data visualization.

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Overview of the boxplot

A box and whisker plot (commonly known as a boxplot) is used to visualize multiple distributions using summary statistics. A boxplot provides information on the five summary statistics of the given dataset variable, which include:

  • The minimum value
  • The maximum value
  • The median
  • The first and third quartiles

In short, a boxplot is popularly used to display data distribution. It helps detect outliers and compare distributions of the data.

Structure of a boxplot
Structure of a boxplot

Let’s study the structure of the boxplot:

  • The box, as seen from the figure, is the core of the boxplot.
  • The lower side of the box represents the first quartile (or Q1), i.e., the 25th25^{th}
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