June 16, 2022, 4:11 a.m. | Mintao Wei

Towards Data Science - Medium towardsdatascience.com

Introducing four types of plotting functions and relevant tricks for exploratory data analysis based on Seaborn

Table of Contents

  1. Introduction
  2. Viz 1: Double-axis Time Series Plot with Auxiliary Line/Band
  3. Viz 2: Scatter Plot with Fitted Trendline
  4. Viz 3: Distribution Plot with KDE Line (Kernel Density Estimation)
  5. Viz 4: Categorical Bar Plot Series
  6. Summary

Introduction

Initiatives

“Matplotlib and seaborn are ugly, I only use ggplot2 in R”;
“The seaborn API is a pain and very rigid to work with”;
“The default …

data science data virtualization python seaborn tips-and-tricks visualization

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