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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

Choropleth Maps

A choropleth map is a map of a region with different divisions colored to indicate the value of a specific feature in that division. This division may be a country, state, district, or any other well-documented area.

For example, you can visualize country-wise populations using a world map, state-wise populations on a country map, or the percentage of a population with access to a certain technology with a choropleth map.

Although the term choropleth map may or may not be familiar to you, as you go through the chapter, the concept of choropleth maps will become clearer.

Let's start exploring the different types of choropleth maps.

Worldwide Choropleth Maps

In the first visualization of this chapter, we are going to use the internet usage statistics published on Our World in Data (https://ourworldindata.org/internet) and present the percentage of the population using the internet in each country from 1990 to 2017. The dataset is hosted on the book...

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