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I am new to seaborn, and I was going through documentation and examples. I have attached the plot below. How can we interpret the color intensity in this plot?

enter image description here

Mushahid Hussain
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    The best way would be to add a `cbar=True` argument in displot. Please see figure #6 in https://seaborn.pydata.org/tutorial/distributions.html#visualizing-bivariate-distributions. – medium-dimensional Nov 03 '22 at 17:11

1 Answers1

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We will not be able to really understand what those bluish colours mean unless there is a scale or a guide which represents the mapping of colors to some attributes of the data.

Thus, the best way to do this would be to add a cbar=True argument in sns.displot, along with the title of the colorbar to make sure the visualisation conveys the context properly.

import matplotlib.pyplot as plt 
import seaborn as sns

penguins = sns.load_dataset("penguins")

sns.displot(data=penguins, x="bill_length_mm", y="bill_depth_mm", cbar=True,
cbar_kws={'label': 'Counts in the bin'})

plt.show()

This gives:

enter image description here

medium-dimensional
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