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galleries/examples/statistics/boxplot_vs_violin.py
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the whole range of the data.
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A good general reference on boxplots and their history can be found
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-here: http://vita.had.co.nz/papers/boxplots.pdf
+here: https://vita.had.co.nz/papers/boxplots.pdf
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Violin plots require matplotlib >= 1.4.
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-For more information on violin plots, the scikit-learn docs have a great
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-section: https://scikit-learn.org/stable/modules/density.html
+Violin plots show the distribution of the data as a rotated kernel density
+estimate (KDE) along with summary statistics similar to a box plot.
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+
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+For more information on violin plots, see:
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+https://en.wikipedia.org/wiki/Violin_plot
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"""
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import matplotlib.pyplot as plt
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