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Hands-On Data Visualization with Bokeh

You're reading from   Hands-On Data Visualization with Bokeh Interactive web plotting for Python using Bokeh

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781789135404
Length 174 pages
Edition 1st Edition
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Author (1):
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Kevin Jolly Kevin Jolly
Author Profile Icon Kevin Jolly
Kevin Jolly
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Table of Contents (10) Chapters Close

Preface 1. Bokeh Installation and Key Concepts FREE CHAPTER 2. Plotting using Glyphs 3. Plotting with different Data Structures 4. Using Layouts for Effective Presentation 5. Using Annotations, Widgets, and Visual Attributes for Visual Enhancement 6. Building and Hosting Applications Using the Bokeh Server 7. Advanced Plotting with Networks, Geo Data, WebGL, and Exporting Plots 8. The Bokeh Workflow – A Case Study 9. Other Books You May Enjoy

Asking the right question

Asking the right question is by far the most important step when it comes to data visualization. What is the answer that you are seeking?

Some of the most common questions that you need to ask yourself before deciding to visualize data are:

  • Do I want to observe how well two features are correlated?
  • Do I suspect potential outliers in my data that I cannot see unless I visualize my data?
  • Do I want to see whether my data shows a particular trend over a period of time?
  • Do I want to observe the distribution of individual features/columns in my data?
  • Do I want to see whether there are clusters/groups within my data that I can potentially extract value from?
  • Do I believe that a visualization can tell my audience a story about the data?

If the answer to any one of these questions is a yes, then you know that you need to visualize your data. The second question...

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