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Interactive Data Visualization with Python

You're reading from   Interactive Data Visualization with Python Present your data as an effective and compelling story

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Product type Paperback
Published in Apr 2020
Publisher
ISBN-13 9781800200944
Length 362 pages
Edition 2nd Edition
Languages
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Authors (4):
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Shubhangi Hora Shubhangi Hora
Author Profile Icon Shubhangi Hora
Shubhangi Hora
Abha Belorkar Abha Belorkar
Author Profile Icon Abha Belorkar
Abha Belorkar
Anshu Kumar Anshu Kumar
Author Profile Icon Anshu Kumar
Anshu Kumar
Sharath Chandra Guntuku Sharath Chandra Guntuku
Author Profile Icon Sharath Chandra Guntuku
Sharath Chandra Guntuku
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Toc

Table of Contents (9) Chapters Close

Preface 1. Introduction to Visualization with Python – Basic and Customized Plotting 2. Static Visualization – Global Patterns and Summary Statistics FREE CHAPTER 3. From Static to Interactive Visualization 4. Interactive Visualization of Data across Strata 5. Interactive Visualization of Data across Time 6. Interactive Visualization of Geographical Data 7. Avoiding Common Pitfalls to Create Interactive Visualizations Appendix

Introduction

In the previous chapters, you learned how to build interactive visualizations to present different features in a dataset across features that represent different strata and different time points. In this chapter, you are going to add another type of visualization to your skillset – plotting interactive visualizations with geographical data.

Most datasets generated in today's world involve some features depicting spatial or geographical aspects. For example, users of social media platforms are characterized by the different parts of the world they reside in, world development metrics are calculated for different countries in the world, transportation routes span many different locations across the globe, and so on. Therefore, it is essential to learn systematic ways to understand and present such information in a digestible yet insightful manner. This chapter will help you develop this ability by providing the necessary tools to generate a variety of plots...

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