Practical D3.js
Autor Tarek Amr, Rayna Stamboliyskaen Limba Engleză Paperback – 5 iul 2016
Your indispensable guide to mastering the efficient use of D3.js in professional-standard data visualization projects. You will learn what data visualization is, how to work with it, and how to think like a D3.js expert, both practically and theoretically.
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.
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.
- 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.
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Specificații
ISBN-13: 9781484219270
ISBN-10: 1484219279
Pagini: 280
Ilustrații: XVIII, 167 p. 103 illus., 89 illus. in color.
Dimensiuni: 178 x 254 x 10 mm
Greutate: 0.34 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States
ISBN-10: 1484219279
Pagini: 280
Ilustrații: XVIII, 167 p. 103 illus., 89 illus. in color.
Dimensiuni: 178 x 254 x 10 mm
Greutate: 0.34 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States
Cuprins
Part I. Understanding Data Visualization
Chapter One: Understanding Data Visualization
Chapter Two: Structuring and Designing Data Visualization
Chapter Three: Getting the Facts Right
Chapter Four: Sourcing Data
Part II. Using D3.js for Practical Data Visualization
Chapter Five: Getting Started With D3
Chapter Six: Creating Complex Shapes
Chapter Seven: Transforming Data With Layouts
Chapter Eight: Using Advanced Layouts
Chapter Nine: Working With Data
Chapter Ten: Before we Let You Go
Chapter One: Understanding Data Visualization
Chapter Two: Structuring and Designing Data Visualization
Chapter Three: Getting the Facts Right
Chapter Four: Sourcing Data
Part II. Using D3.js for Practical Data Visualization
Chapter Five: Getting Started With D3
Chapter Six: Creating Complex Shapes
Chapter Seven: Transforming Data With Layouts
Chapter Eight: Using Advanced Layouts
Chapter Nine: Working With Data
Chapter Ten: Before we Let You Go
Notă biografică
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.
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.
Textul de pe ultima copertă
Your indispensable guide to mastering the efficient use of D3.js in professional-standard data visualization projects. You will learn what data visualization is, how to work with it, and how to think like a D3.js expert, both practically and theoretically.
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:
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
Caracteristici
Teaches D3.js in a practical way, enabling you to think like a data scientist right from the outset Cleverly balances practicality with theory enabling full mastery of D3.js Written by leading data scientists with real-world experiences working for governments and other high-level organisations