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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

Preface

The best data is the data that we can see and understand. As developers and data scientists, we want to create and build the most comprehensive and understandable visualizations. It is not always simple; we need to find the data, read it, clean it, filter it, and then use the right tool to visualize it. This book explains the process of how to read, clean, and visualize the data into information with straight and simple (and sometimes not so simple) recipes.

How to read local data, remote data, CSV, JSON, and data from relational databases are all explained in this book.

Some simple plots can be plotted with one simple line in Python using matplotlib, but performing more advanced charting requires knowledge of more than just Python. We need to understand information theory and human perception aesthetics to produce the most appealing visualizations.

This book will explain some practices behind plotting with matplotlib in Python, statistics used, and usage examples for different charting features that we should use in an optimal way.

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