Introduction to Data Visualization With Seaborn

Data Visualization for insights generation and understanding

Data visualization is simply presenting data in a graphical or pictorial form which makes the information easy to understand. It helps to explain facts and determine courses of action.

In this article, I’m going to introduce you to the world of data visualization and interpretation using Python.

Table of Content

• Popular Python libraries for visualization
• Introduction to Seaborn
• Environment Setup and dataset
• Univariate plots
• Bivariate plots
• Multivariate plots
• Numerical features against categorical features
• Categorical features against numerical features
• Visualization for TimeSeries Data
• Extra visualizations

Popular Python libraries for visualization

Python has numerous visualization libraries that come packed with lots of different features. Most of these libraries are general-purpose while some are specific to a task.