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1
Intro
2
Setup
3
Import Data & Datasets
4
Distribution Plot
5
Joint Plot
6
Hexagon Distribution
7
KDE Plot
8
Pair Plot
9
Rug Plot
10
Styling
11
Bar Plot
12
Count Plot
13
Box Plot
14
Violin Plot
15
Strip Plot
16
Swarm Plot
17
Palettes
18
Heatmaps
19
Cluster Map
20
Pair Grid
21
Facet Grid
22
Regression Plots
Description:
Learn to create stunning data visualizations with Seaborn in this comprehensive tutorial video. Master the art of crafting attractive plots using Seaborn's powerful library built on top of Matplotlib. Explore a wide range of visualization techniques, including distribution plots, joint plots, pair plots, bar plots, box plots, heatmaps, and regression plots. Discover how to style your graphs, work with different palettes, and create complex visualizations like cluster maps and facet grids. Gain practical experience through numerous real-world examples that demonstrate Seaborn's seamless integration with Pandas and NumPy. Perfect for data scientists and analysts looking to enhance their data visualization skills and create impactful, informative graphics with minimal code.

Seaborn Tutorial

Derek Banas
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