# Boxplot

A box plot displays the five-number summary of a variable: minimum, Q1, median, Q3, and maximum. The box covers the IQR, a line marks the median, and whiskers extend to the data range. Points beyond the whiskers are plotted individually as potential outliers. Box plots are effective for comparing distributions across groups.

Visit the following resources to learn more:

- [@official@matplotlib.pyplot.boxplot](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.boxplot.html)
- [@article@Create and customize boxplots with Python’s Matplotlib](https://towardsdatascience.com/create-and-customize-boxplots-with-pythons-matplotlib-to-get-lots-of-insights-from-your-data-d561c9883643/)
- [@video@Seaborn boxplot | Box plot explanation, box plot demo, and how to make a box plot in Python seaborn](https://www.youtube.com/watch?v=Vo-bfTqEFQk)