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)

Bokeh Installation and Key Concepts

Welcome to the world of interactive data visualization using the popular Bokeh library in Python. As you go through the chapter, you will learn about the following topics:

  • What exactly Bokeh is and how it differs from other plotting libraries
  • How you can install Bokeh on your local machine
  • How to verify your Bokeh installation
  • Where you can go for help should things go wrong
  • Some key concepts regarding Bokeh's internal workings

Bokeh is an interactive data visualization library in Python that helps users across all levels visualize both simple and complex data from datasets ranging from small to big. You can use Bokeh to create both interactive plots and applications that speak to the general public, statisticians, and even business leaders!