Book Image

Python Data Science Essentials

By : Alberto Boschetti, Luca Massaron
Book Image

Python Data Science Essentials

By: Alberto Boschetti, Luca Massaron

Overview of this book

The book starts by introducing you to setting up your essential data science toolbox. Then it will guide you across all the data munging and preprocessing phases. This will be done in a manner that explains all the core data science activities related to loading data, transforming and fixing it for analysis, as well as exploring and processing it. Finally, it will complete the overview by presenting you with the main machine learning algorithms, the graph analysis technicalities, and all the visualization instruments that can make your life easier in presenting your results. In this walkthrough, structured as a data science project, you will always be accompanied by clear code and simplified examples to help you understand the underlying mechanics and real-world datasets.
Table of Contents (13 chapters)

Chapter 6. Visualization

Last but not least, we are going to illustrate how to create visualizations with Python to support your data science project. Visualization plays an important role in helping you communicate the results and insights derived from data and the learning process.

In this chapter, you will learn how to:

  • Use the basic pyplot functions from the matplotlib package

  • Leverage pandas DataFrame for Explorative Data Analysis (EDA)

  • Visualize the machine learning and optimization processes we discussed in Chapter 3, The Data Science Pipeline, and Chapter 4, Machine Learning

  • Understand and visually communicate variables' importance and their relationship with the target outcome