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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

In the previous chapter, we focused on various visualizations and identified which visualization is best suited to show certain information for a given dataset. We learned about the features, uses, and best practices for following various plots such as comparison plots, relation plots, composition plots, distribution plots, and geoplots.

Matplotlib is probably the most popular plotting library for Python. It is used for data science and machine learning visualizations all around the world. John Hunter was an American neurobiologist who began developing Matplotlib in 2003. It aimed to emulate the commands of the MATLAB software, which was the scientific standard back then. Several features, such as the global style of MATLAB, were introduced into Matplotlib to make the transition to Matplotlib easier for MATLAB users. This chapter teaches you how to best utilize the various functions and methods of Matplotlib to create insightful visualizations.

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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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