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The Data Visualization Workshop

You're reading from The Data Visualization Workshop

Product type Book

Published in Jul 2020

Publisher Packt

ISBN-13 9781800568846

Pages 536 pages

Edition 1st Edition

Languages

Concepts

Data Visualization

Authors (2):

Mario Döbler

Tim Großmann

View More author details

Table of Contents (9) Chapters

Preface

1. The Importance of Data Visualization and Data Exploration

2. All You Need to Know about Plots

3. A Deep Dive into Matplotlib

4. Simplifying Visualizations Using Seaborn

5. Plotting Geospatial Data

6. Making Things Interactive with Bokeh

7. Combining What We Have Learned

Appendix

Introduction

Bokeh is an interactive visualization library focused on modern browsers and the web. Other than Matplotlib or geoplotlib, the plots and visualizations we are going to create in this chapter will be based on JavaScript widgets. Bokeh allows us to create visually appealing plots and graphs nearly out of the box without much styling. In addition to that, it helps us construct performant interactive dashboards based on large static datasets or even streaming data.

Bokeh has been around since 2013, with version 1.4.0 being released in November 2019. It targets modern web browsers to present interactive visualizations to users rather than static images. The following are some of the features of Bokeh:

Simple visualizations: Through its different interfaces, it targets users of many skill levels, providing an API for quick and straightforward visualizations as well as more complex and extremely customizable ones.
Excellent animated visualizations: It provides...

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Authors (2)

Mario Döbler

Mario Döbler is a Ph.D. student with a focus on deep learning at the University of Stuttgart. He previously interned at the Bosch Center for artificial intelligence in the Silicon Valley in the field of deep learning. He used state-of-the-art algorithms to develop cutting-edge products. In his master thesis, he dedicated himself to applying deep learning to medical data to drive medical applications.

See other products by Mario Döbler

Tim Großmann

Tim Großmann is a computer scientist with interest in diverse topics, ranging from AI and IoT to Security. He previously worked in the field of big data engineering at the Bosch Center for Artificial Intelligence in Silicon Valley. In addition to that, he worked on an Eclipse project for IoT device abstractions in Singapore. He's highly involved in several open-source projects and actively speaks at tech meetups and conferences about his projects and experiences.

See other products by Tim Großmann

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