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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

Introduction

The previous chapters of this book have progressed from static to interactive data visualizations and described various interactive features (such as sliders and hover tools) and types of plots (such as grouped bar graphs, line plots, and choropleth world maps) pertaining to specific types of data, such as temporal and geographical. This chapter lists and explains the possible mistakes and errors that are made during various stages of the data visualization process – such as visualizing uncorrelated elements from a dataset to display a relationship or creating an inapt interactive feature – and discusses how to ensure that the final visualization is appropriate, informative, and simple. Additionally, there is a cheat sheet at the end of this chapter that describes the libraries and the types of visualizations you should use when performing data visualization.

The process of data visualization may seem simple – take some data, plot some graphs...

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