Packt+ | Advance your knowledge in tech

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

D3.js 4.x Data Visualization

You're reading from D3.js 4.x Data Visualization Learn to visualize your data with JavaScript

Product type Paperback

Published in Apr 2017

Publisher Packt

ISBN-13 9781787120358

Length 308 pages

Edition 3rd Edition

Languages

JavaScript

Tools

D3

Concepts

Data Visualization

Authors (2):

Aendrew Rininsland

Swizec Teller

View More author details

Table of Contents (11) Chapters

Preface

1. Getting Started with D3, ES2017, and Node.js FREE CHAPTER

2. A Primer on DOM, SVG, and CSS

3. Shape Primitives of D3

4. Making Data Useful

5. Defining the User Experience - Animation and Interaction

6. Hierarchical Layouts of D3

7. The Other Layouts

8. D3 on the Server with Canvas, Koa 2, and Node.js

9. Having Confidence in Your Visualizations

10. Designing Good Data Visualizations

Bonus chart - Streamalicious!

Our bonus chart in this chapter is easy; we've already made it!

Go back to main.js, comment out the last line, and add this one:

westerosChart.init('stack',
    'data/GoT-deaths-by-season.json', true);

All we've done is pass true. This gives us a stream chart, because we set the offset in the last example to d3.stackOffsetWiggle. Kind of cool looking, huh?

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (2)

Aendrew Rininsland

Aendrew Rininsland

<p>Aendrew Rininsland is a developer and journalist who has spent much of the last half a decade building interactive content for newspapers such as The Financial Times, The Times, Sunday Times, The Economist, and The Guardian. During his 3 years at The Times and Sunday Times, he worked on all kinds of editorial projects, ranging from obituaries of figures such as Nelson Mandela to high-profile, data-driven investigations such as The Doping Scandal the largest leak of sporting blood test data in history. He is currently a senior developer with the interactive graphics team at the Financial Times.</p>

See other products by Aendrew Rininsland

Teller

Teller

Swizec Teller is a geek with a hat. Founding his first startup at 21, he is now looking for the next big idea as a full-stack web generalist focusing on freelancing for early-stage startup companies. When he isn't coding, he's usually blogging, writing books, or giving talks at various non-conference events in Slovenia and nearby countries. He is still looking for a chance to speak at a big international conference. In November 2012, he started writing Why Programmers Work at Night, and set out on a quest to improve the lives of developers everywhere.

See other products by Teller

Other recommended products

Related to this chapter

Data Visualization with D3 4.x Cookbook

Data Visualization with D3 4.x Cookbook

Bring data to life using D3.js, the hottest and most powerful web-based data visualization technology on the market today. This second edition cookbook features code samples, helpful illustrations, and over 65 practical recipes to learn from so you can create amazing data visualization with precision and professional efficiency.

Feb 2017 12h 40m

This book is a practical Hands-On introduction to create and publish your own interactive data visualization projects on the web-even if you have little or no experience with data visualization or web development. The purpose of this book is to teach developers how to create beautiful, efficient and interactive data visualizations for the Web.

May 2019 21h 40m

Expert Data Visualization

Expert Data Visualization

Do you want to make sense of your data? Do you want to create interactive charts, data trees, info-graphics, geospatial charts, and maps efficiently? Then this book is your ideal choice to master interactive data visualization with D3. JS 4.0 This book will have a real–world, case-study approach, where you will learn to create complex visualizations powered by D3.js and open data.

Apr 2017 13h 8m

D3.js Quick Start Guide

D3.js Quick Start Guide

D3.js is a JavaScript library that allows you to create graphs and data visualizations in the browser, with HTML, SVG, and CSS. This book will take you from the basics of D3.js, so that you can create your own interactive visualizations, to creating the most common graphs that you will encounter as a developer, scientist, statistician, or data scientist.

SVG is considered an important aspect of animating your web applications. Its cross-platform markup along with the combination of modern web technologies proves to be a great combination for web designers and developers. This book will show you the different facets of SVG and the various considerations and prerequisites for animating with SVG.

Sep 2018 10h 24m

Learning D3.js 5 Mapping

Learning D3.js 5 Mapping

D3.js is a visualization library used for the creation and control of dynamic and interactive graphical forms. It is a library used to manipulate HTML and and SVG documents. This book will show you how build and design maps with D3.js and gives you great insight into projections, colors, and the most appropriate types of map.

Nov 2017 9h 56m

In this book, you will learn how to use Chart.js, based on open Web standards, through a series of step-by-step tutorials and simple real-world examples to build interactive and responsive Web-based visualizations for your data. You will learn how to load and parse external data formats like CSV and JSON, and create different types of charts.

Feb 2019 9h 28m

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Data Governance Handbook

Data Governance Handbook

This book provides a highly focused view of real business outcomes powered by data governance, that resonate with non-data executives such as CFOs and CEOs. You'll also find useful insights into how to implement data governance initiatives.

May 2024 13h 8m

Data Engineering with Databricks Cookbook

Data Engineering with Databricks Cookbook

This book shows you how to use Apache Spark, Delta Lake, and Databricks to build data pipelines, manage and transform data, optimize performance, and more. Additionally, you'll implement DataOps and DevOps practices, and orchestrate data workflows.

May 2024 14h 36m

Azure Data Engineer Associate Certification Guide

Azure Data Engineer Associate Certification Guide

Unlock the power of Azure data engineering with this certification guide, elevating your skills in data processing, storage, and security with the help of practical insights, hands-on exercises, and the latest advancements.

May 2024 18h 16m

Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

Microsoft Power BI is the most sought-after platform for BI professionals' visualization needs. Explore the latest Power BI features, future AI enhancements, and integration with other Power Platform tools via new recipes in this updated edition.

Jul 2024 19h 56m

Python Data Cleaning Cookbook

Python Data Cleaning Cookbook

The book shows you how to clean, wrangle, and view data from multiple perspectives, including dataset and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations and learn to manipulate data to get it down to a form that can be useful for making the right decisions.

May 2024 16h 12m

Microsoft Azure AI Fundamentals AI-900 Exam Guide

Microsoft Azure AI Fundamentals AI-900 Exam Guide

This AI-900 study guide will help you prepare and practice for the certification exam. You'll delve into AI workloads, ML principles, computer vision, NLP, knowledge mining, and generative AI using Azure cloud services.

May 2024 9h 36m

Using Stable Diffusion with Python

Using Stable Diffusion with Python

This book shows you how to use Python to control Stable Diffusion and generate high-quality images. In addition to covering the basic usage of the diffusers package, the book provides solutions for extending the package for more advanced purposes.

Jun 2024 11h 44m

Getting Started with DuckDB

Getting Started with DuckDB

This hands-on book teaches you to analyze large datasets with blazing speed and ease. You will learn how to use DuckDB to quickly load, query, transform, analyze, and visualize data effectively through a series of practical examples.

Jun 2024 12h 44m

Databricks Certified Associate Developer for Apache Spark Using Python

Databricks Certified Associate Developer for Apache Spark Using Python

This guide gets you ready for certification with expert-backed content, key exam concepts, and topic reviews. Additionally, you'll be able to make the most of Apache Spark 3.0 to modernize workloads and more using specific tools and techniques.