Practical D3.js
About this ebook
Practical D3.js does not just show you how to use D3.js, it teaches you how to think like a data scientist and work with the data in the real world. In Part One, you will learn about theories behind data visualization. In Part Two, you will learn how to use D3.js to create the best charts and layouts. Uniquely, this book intertwines the technical details of D3.js with practical topics such as data journalism and the use of open government data.
Written by leading data scientists Tarek Amr and Rayna Stamboliyska, this book is your guide to using D3.js in the real world – add it to your library today.
You Will Learn:
- How to think like a data scientist and present data in the best way
- What structure and design strategies you can use for compelling data visualization
- How to use data binding, animations and events, scales, and color pickers
- How to use shapes, path generators, arcs and polygons
This book is for anyone who wants to learn to master the use of D3.js in a practical manner, while still learning the important theoretical aspects needed to enable them to work with their data in the best possible way.
About the author
Tarek Amr achieved his postgraduate degree in data mining and machine learning from the University of East Anglia. He currently works as a data scientist in Amsterdam. He has more than 10 years experience in software development. Tarek participates in training data journalists and he works on promoting open data.
Rayna Stamboliyska is a trained scientist whose professional journey has shifted into data-driven innovation and strategy. She consults for international organizations, businesses, media and nonprofits and is a polylingual bookworm. She conducts risk and crisis management assessments using OSINT on a daily basis and frequently works in conflict and post-conflict zones in MENA, Eastern Europe and Africa. She is the founder of the first-ever action research and service consultancy around open knowledge in the MENA region and the curator of Data Colada, the only French-speaking weekly resource on data. Crunching data is an integral part of her existence, and so is data visualization. She frequently trains curious individuals about open data and data journalism.