Book Image

Hands-On Data Visualization with Bokeh

By : Kevin Jolly
Book Image

Hands-On Data Visualization with Bokeh

By: Kevin 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)

Advanced Plotting with Networks, Geo Data, WebGL, and Exporting Plots

Adding interactivity to plots that are used to visualize networks such as social networks and transport networks allows the user to highlight and interact with the specific parts that they are interested in, while ignoring the rest of the network. This is particularly useful when you have a large and complex network.

Interactivity in geographic data is particularly useful when it comes to extracting information about a specific location of interest, instead of looking at the entire plot. Such geo-based visualizations help us zoom into locations and embed these maps into our applications.

When working with large and complex datasets, it is in our best interests to exploit the performance of Bokeh fully in terms of speed. We can do this with WebGL.

Finally, there are certain cases in which we might want to publish...