Module 4: Make Explanatory Visualizations
Module Overview
In this module, you'll master the fundamentals of data visualization in Python. You'll learn the anatomy of a figure, work with Matplotlib and Seaborn packages for creating visualizations, develop skills to identify misleading visualizations, and learn how to interpret different types of distributions. These skills are essential for creating accurate and effective data visualizations.
Learning Objectives
- Understand and work with the different components of a figure
- Create visualizations using Matplotlib and Seaborn packages
- Recognize and avoid misleading visualization practices
- Analyze and interpret various types of data distributions
Guided Project
Open DS_114_Make_Explanatory_Visualizations.ipynb in the GitHub repository below to follow along with the guided project:
Guided Project Video
Module Assignment
Complete the Module 4 assignment to practice creating explanatory visualizations you've learned. The assignment covers effective visualization techniques, matplotlib functions, and the application of style sheets.