14 Data Visualization Plots of Seaborn

Tools for the cops who investigate data and extract information and trends from it.

Green Colour represents new beginnings and growth. It also signifies renewal and abundance.

Data Visualization plays a very important role in Data mining. Various data scientist spent their time exploring data through visualization. To accelerate this process we need to have a well-documentation of all the plots.

Even plenty of resources can’t be transformed into valuable goods without planning and architecture. Therefore I hope this article would provide you a good architecture of all plots and their documentation.

Content

1. Introduction
2. Know your Data
3. Distribution Plots
   a. Dist-Plot
   b. Joint Plot
   c. Pair Plot
   d. Rug Plot
4. Categorical Plots
   a. Bar Plot
   b. Count Plot
   c. Box Plot
   d. Violin Plot
5. Advanced Plots
   a. Strip Plot
   b. Swarm Plot
6. Matrix Plots
   a. Heat Map
   b. Cluster Map
7. Grids
   a. Facet Grid
8. Regression Plots

Introduction

Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics.