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)

Summary

This chapter has shed light on all the different tools that you can utilize to add layers of interactivity and visually appealing aesthetics to your plots.

You have learned how to use annotations to add titles, legends, and categorical color maps to your plots in order to convey supplemental information about the plot. You also learned how to build all the different types of widget that Bokeh offers in order to make your plots more interactive. Finally, you also learned about visual attributes that add both interactivity and style to your visualizations.

In the next chapter, you will learn how to combine everything you have learned in this chapter and the previous chapters into an interactive application that will enthrall both yourself and the users of your plots!