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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

Summary

In this chapter, we learned how choosing the most appropriate visualization(s) depends on four key elements:

  • The nature of the features in a dataset: categorical/discrete, numerical/continuous numerical
  • The size of the dataset: small/medium/large
  • The density of the data points in the chosen feature space: whether too many or too few data points are set to certain feature values
  • The context of the visualization: the source of the dataset and frequently used visualizations for the given application

For the purpose of explaining the concepts clearly and defining certain general guidelines, we classified visualizations into two categories:

  • Plots representing the global patterns of the chosen features (for example, histograms, scatter plots, hexbin plots, contour plots, line plots,and heatmaps)
  • Plots representing the summary statistics of the specific features (box plots and violin plots)

We are not implying that a single best visualization...

You have been reading a chapter from
Interactive Data Visualization with Python - Second Edition
Published in: Apr 2020
Publisher:
ISBN-13: 9781800200944
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