Hands-On Data Visualization with Bokeh

Learn how to create interactive and visually aesthetic plots using the Bokeh package in Python

Kevin Jolly

Digital

Available

Adding a layer of interactivity to your plots and converting these plots into applications hold immense value in the field of data science. The standard approach to adding interactivity would be to use paid software such as Tableau, but the Bokeh package in Python offers users a way to create both interactive and visually aesthetic plots for free. This book gets you up to speed with Bokeh - a popular Python library for interactive data visualization.

The book starts out by helping you understand how Bokeh works internally and how you can set up and install the package in your local machine. You then use a real world data set which uses stock data from Kaggle to create interactive and visually stunning plots. You will also learn how to leverage Bokeh using some advanced concepts such as plotting with spatial and geo data. Finally you will use all the concepts that you have learned in the previous chapters to create your very own Bokeh application from scratch.

By the end of the book you will be able to create your very own Bokeh application. You will have gone through a step by step process that starts with understanding what Bokeh actually is and ends with building your very own Bokeh application filled with interactive and visually aesthetic plots.

What will you learn from this book

  • Installing Bokeh and understanding its key concepts
  • Creating plots using glyphs, the fundamental building blocks of Bokeh
  • Creating plots using different data structures like NumPy and Pandas
  • Using layouts and widgets to visually enhance your plots and add a layer of interactivity
  • Building and hosting applications on the Bokeh server
  • Creating advanced plots using spatial data
Language English
ISBN-13 9781789135404
No of pages 174
Book Publisher Packt Publishing
Published Date 14 Jun 2018

About Author

Author : Kevin Jolly

NA
  • A step by step approach to creating interactive plots with Bokeh
  • Go from nstallation all the way to deploying your very own Bokeh application
  • Work with a real time datasets to practice and create your very own plots and applications

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