5
Data Visualization
Introduction to Data Science
Preliminaries
1
Introduction
2
Project Management
3
Reproducible Data Science
4
Python Refreshment
5
Data Visualization
6
Data Manipulation
7
Data Exploration
8
Regression Models
9
Classification
10
Supervised Learning
11
Exercises
References
Table of contents
5.1
Grammar of Graphics with Plotnine
5.1.1
Subsection 1
5.1.2
Subsection 2
5.1.3
Further Reading
5
Data Visualization
5.1
Grammar of Graphics with Plotnine
This is section was written by Sonia Lucey. Sonia was ..
5.1.1
Subsection 1
5.1.2
Subsection 2
5.1.3
Further Reading
4
Python Refreshment
6
Data Manipulation