Intro to Seaborn Course (How To)

The Seaborn module is a Python visualization library based on Matplotlib. It provides a higher-level, more convenient way to create common statistical plots and is well-suited for labeling and presenting statistical graphics. This course will help you get started with Seaborn by walking through the structure of its library, showing how to create key charts in Seaborn, and comparing the results with equivalent plots created with Matplotlib.

What you'll learn

• Create charts with Python using Seaborn

Introduction to Seaborn

Seaborn is a data visualization library built on top of the plotting library, Matplotlib. It offers a rich set of high-level tools for creating statistical charts and plots. It's more convenient than Matplotlib for quickly visualizing data because it integrates well with Pandas Dataframe objects.

Chevron 5 steps

• Introduction

  3:34

• instruction

  Relational Plots

• instruction

  Distribution Plots

• instruction

  Categorical Plots

• Introduction to Seaborn Review

  5 questions

Plotting Functions

Now that we've gone through an overview of the different plot types available in Seaborn, let's start using the library! You'll use Seaborn's plotting functions with a Pokemon dataset to perform exploratory data analysis.

Chevron 9 steps

• Setting Up a New JupyterLab Environment

  1:32

• Setting Up Seaborn

  1:59

• Exploring the Data

  3:10

• Relationship Plots

  5:36

• Distribution Plots

  4:35

• Categorical Scatter Plot

  3:04

• Categorical Distribution Plots

  4:21

• Categorical Estimation Plots

  4:31

• Plotting Functions Review

  6 questions

Seaborn Data Visualization Challenges

Now that you've worked through examples and practiced creating plots with Seaborn, it's time to work on some plots on your own. This stage offers a series of Seaborn challenges you'll complete using the Yu-Gi-Oh! dataset.

Chevron 7 steps

• Challenge: Setting Up

  2:14

• Challenge: Scatter Plot

  3:26

• Challenge: Histogram and Kernel Density Estimation

  2:43

• Challenge: Strip Plot

  3:29

• Challenge: Box and Violin Plots

  1:26

• Challenge: Bar and Count Plots

  1:46

• Seaborn Data Visualization Review

  5 questions