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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

Getting Started with Interactive Data Visualizations

As we mentioned earlier, the key aspect of interactive data visualizations is its ability to respond and react to human inputs either in the moment or within a very short time span. Thus, human inputs themselves play an important role in interactive data visualizations. In this section, we'll look at some human inputs, how they can be introduced into data visualizations, and the impact that they have on the comprehension of data.

The following are some of the most popular forms of human input and interactive features:

  • Slider: A slider allows the user to see data pertaining to a range of something. As the user changes the position of the slider, the plot changes in real time. This allows the user to see several plots in real time:
Figure 3.10: A slider tool
  • Hover: Hovering a cursor above an element of a plot allows the user to receive more information about the datapoint than can be seen just by observing...
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