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Python Data Visualization Cookbook (Second Edition)

You're reading from   Python Data Visualization Cookbook (Second Edition) Visualize data using Python's most popular libraries

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Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781784396695
Length 302 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (11) Chapters Close

Preface 1. Preparing Your Working Environment FREE CHAPTER 2. Knowing Your Data 3. Drawing Your First Plots and Customizing Them 4. More Plots and Customizations 5. Making 3D Visualizations 6. Plotting Charts with Images and Maps 7. Using the Right Plots to Understand Data 8. More on matplotlib Gems 9. Visualizations on the Clouds with Plot.ly Index

Introduction

In this chapter, we will focus more on understanding what we want to say with the data that we are presenting, and how to say it effectively. We will present some new techniques and plots, but all will be underlined by understanding of the information we want to convey to the user. Let's ask the questions. Why do we want to present information in this state? This is the most important question that should be asked during the data exploration phase. If we miss the opportunity to understand the data and present it in a certain way, the viewer, then, is not going to understand the data correctly, for sure.

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