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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

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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