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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} percentileA percentile is a number that compares one score to the scores of the rest of the group. It displays the percentage by which a given score exceeds the other scores. For example, if a user’s score is in the 90th percentile for a test, it means that the user scored better than 90% of people who took the test. of the data. The upper end of the box represents the third quartile (or Q3), i.e., the 75th75^{th}
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