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Introduction to Data Analysis and Visualization with R

Box Plots

Explore the construction and interpretation of box plots using R's boxplot() and ggplot2 functions. This lesson teaches you to visualize the distribution of numerical data, detect outliers, and compare multiple groups effectively. You will learn to customize box plots with colors, notches, and axis ranges, enhancing your data analysis and presentation skills.

We'll cover the following...

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Box plots display the distribution of a continuous variable or numerical data. They are also called box and whiskers plots. We use them to compare different groups or datasets. They provide a visual summary of the median, quartiles, range, and any outliers in the data. They are commonly used to detect outliers and recognize the distribution of data. The lines that reach from the minimum value to the maximum value are called whiskers. In a box plot:

  • The median value is represented by the line in the middle.
  • The first quartile (25th^{th} quantile) and the third quartile (75th^{th}
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