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Summary Introduction to Seaborn

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20-06-2022

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Introduction to Seaborn Using pandas with Seaborn Adding a third variable with hue Introduction to relational plots and subplots Customizing scatter plots Introduction to line plots Count plots and bar plots Creating a box plot Point plots Changing plot style and color Adding titles and labels Using the distribution plot Regression Plots in Seaborn Using Seaborn Styles Colors in Seaborn Customizing with matplotlib Categorical Plot Types Regression Plots Matrix Plots Using FacetGrid, catplot and Implot Using PairGrid and pairplot Using JointGrid and jointplot Selecting Seaborn Plots Cheat Sheet Seaborn

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Course: Python

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Uploaded on: June 20, 2022
Number of pages: 250
Written in: 2021/2022
Type: Summary

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python
seaborn
datacamp

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Introduction to
Seaborn
I N T R O D U C T I O N T O D ATA V I S U A L I Z AT I O N W I T

Erin Case
Data Scientist

,What is Seaborn?
Python data visualization library

Easily create the most common types of
plots

,Why is Seaborn useful?

, Advantages of Seaborn
Easy to use

Works well with pandas data structures

Built on top of matplotlib

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Summary Introduction to Seaborn

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