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 given you a formal introduction into the world of constructing interactive networks using the Bokeh package. In a systematic way, you learned how to create and structure the process of building networks, both with the default straight path and the explicitly defined path.

You also learned how adding interactivity to geographical data can have a big impact on the viewer of your visualization, as he or she can now extract information from it.

Then, you learned how to use WebGL to render your plots faster and consequently improve the performance of your applications.

Finally, you learned about how you can export these plots in PNG format and render them at a very high quality for publishing.

In the next chapter, you will learn how to build your very own Bokeh application that you can use to analyze the stock market.

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