Lecture 22 / Lab 6 - Visualize!

import seaborn as sns

Announcements:

• Quiz 6 this weekend

Goals:

• Finish up Histograms from Tuesday
• Understand the distinction between a bar chart and a histogram.

penguins = sns.load_dataset('penguins')

sns.displot(penguins, x="flipper_length_mm")

<seaborn.axisgrid.FacetGrid at 0x7fd4dc3c6fd0>

sns.displot(penguins, x="flipper_length_mm", stat='density')

<seaborn.axisgrid.FacetGrid at 0x7fd4d408a860>

sns.displot(penguins, x="flipper_length_mm", col='species', stat='density')

<seaborn.axisgrid.FacetGrid at 0x7fd4cffc7908>

sns.displot(penguins, x="flipper_length_mm", hue="species", stat="density")

<seaborn.axisgrid.FacetGrid at 0x7fd4cfc94e10>

sns.displot(penguins, x="flipper_length_mm", hue="species", col="island")

<seaborn.axisgrid.FacetGrid at 0x7fd4cfa07cc0>

sns.displot(penguins, x="flipper_length_mm", hue="species", col="island", kde='True')

<seaborn.axisgrid.FacetGrid at 0x7fd4cf3fa518>

sns.jointplot(x="bill_length_mm", y="bill_depth_mm", data=penguins, kind='kde')

<seaborn.axisgrid.JointGrid at 0x7fd4d002f9b0>

A helpful figure from the book: