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 gave you an in-depth view of how you can use layouts in Bokeh to maximize the impact that your plots deliver—both statistically and visually.

You learned how to create plots in a horizontal layout, vertical layout, and a nested layout. You also learned how to use the grid layout as a more effective way to combine horizontal and vertical layouts together.

The standalone layout requires more lines of code to stack plots both horizontally and vertically in the same image, while the grid layout does this with a single line of code and is a more effective way to stack multiple plots together in different layout configurations.

Creating tabs in order to reduce clutter and linking multiple plots together to improve the comparative study of your data points are now in your tool belt in Bokeh.

In the next chapter, you will learn how to visually enhance the...