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Interactive Data Visualization with Python - Second Edition

You're reading from  Interactive Data Visualization with Python - Second Edition

Product type Book
Published in Apr 2020
Publisher
ISBN-13 9781800200944
Pages 362 pages
Edition 2nd Edition
Languages
Authors (4):
Abha Belorkar Abha Belorkar
Profile icon Abha Belorkar
Sharath Chandra Guntuku Sharath Chandra Guntuku
Profile icon Sharath Chandra Guntuku
Shubhangi Hora Shubhangi Hora
Profile icon Shubhangi Hora
Anshu Kumar Anshu Kumar
Profile icon Anshu Kumar
View More author details

Table of Contents (9) Chapters

Preface 1. Introduction to Visualization with Python – Basic and Customized Plotting 2. Static Visualization – Global Patterns and Summary Statistics 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

Applications of Interactive Data Visualizations

Any industry that possesses large amounts of data can benefit from using interactive data visualizations. A few scenarios, such as those listed here, will help us understand how interactive visualizations help us get quick insights and facilitate our day-to-day activities:

  • Let's say you wake up early in the morning and have time to hit the gym before you have to leave for work/school. You ate a pretty heavy meal last night with lots of carbs and sugar, so you want to do a workout that burns the most calories. You check your fitness app, which shows you a visualization describing your last couple of workouts, and with the help of the interactive graphs, you find a workout that helps you burn the most calories. Let's look at the following figure:
Figure 3.8: Fitness app
  • Before leaving for work/school, you need to decide whether you should drive or take an Uber. You check Google Maps to...
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