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* refactor: clean to roadmap content * refactor: move shared helpers into scripts/lib
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9 lines
863 B
Markdown
# Boxplot
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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.
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Visit the following resources to learn more:
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- [@official@matplotlib.pyplot.boxplot](https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.boxplot.html)
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- [@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/)
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- [@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) |