Book Image

Mastering Python Data Visualization

Book Image

Mastering Python Data Visualization

Overview of this book

Table of Contents (16 chapters)
Mastering Python Data Visualization
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

The Ebola example


To illustrate the steps mentioned in the previous section and how they lead to an understandable visualization, let us consider the question we had earlier, that is, How many Ebola deaths were reported in the year 2014? This particular question leads to very specific data, which is usually maintained by the World Health Organization (http://www.who.int/en/) or Humanitarian Data Exchange (https://hdx.rwlabs.org). The original source of this data is the World Health Organization (WHO), but the Humanitarian Data Exchange (HDX) is the contributor. Please note, however, that we shall have all the data, along with the Python source code examples for this book, available at a single place.

The data contains information about the spread of the Ebola disease in Guinea, Liberia, Mali, Nigeria, Senegal, Sierra Leone, Spain, United Kingdom, and the United States of America.

The contributor URL for this information is https://data.hdx.rwlabs.org/dataset/ebola-cases-2014/.

The contents...