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Hands-On Data Visualization with Bokeh

Hands-On Data Visualization with Bokeh

By : Jolly
3.7 (6)
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Hands-On Data Visualization with Bokeh

Hands-On Data Visualization with Bokeh

3.7 (6)
By: Jolly

Overview of this book

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.
Table of Contents (10 chapters)
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Building and Hosting Applications Using the Bokeh Server

Bokeh gives its users the flexibility and convenience of hosting real-time applications on its own servers. The Bokeh Server serves as a bridge connecting Python and the browser in which you can host your applications. In fact, you have been using the Bokeh Server all this time while you were creating your plots in a Jupyter Notebook by following the code in the chapters before this!

One of the ways you can use the Bokeh Server is to deploy applications that have interactivity locally on your machine, which you can then share with your colleagues.

In this chapter, you will be given an:

  • Introduction to the Bokeh Server
  • Introduction to building a Bokeh application
  • Introduction to deploying the Bokeh application

This chapter aims to build your fundamentals with respect to the Bokeh Server so that we can build a beautiful...

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