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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

Visualization of Temporal Data

In temporal data visualization, time is the independent variable and the other features that are being visualized are plotted against time. So, the other features are dependent variables. Usually, time is plotted on the x axis, while the dependent variables are plotted on the y axis. We can see a few plots here:

  • Line graph:
Figure 5.5: Line plot representing temporal data

This line graph shows the percentage change in the population of a country for each year. If multiple lines are plotted on the same graph, then it gives us a comparative study of the features. Lines plots are easy to interpret and also simple to plot.

  • Grouped bar chart:
Figure 5.6: Grouped bar plot representing temporal data

This grouped bar chart shows the counts of medals (shown on the y axis) received in 2012, 2014, and 2016. Having many lines on the same line graph plot makes visibility and comparability poor...

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