8. Chart Them Up | Data Visualization with D3 4.x Cookbook

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Table Of Contents

Data Visualization with D3 4.x Cookbook - Second Edition

By : Nick Zhu

2.3 (3)

Data Visualization with D3 4.x Cookbook

2.3 (3)

By: Nick Zhu

Overview of this book

Master D3.js and create amazing visualizations with the Data Visualization with D3 4.x Cookbook. Written by professional data engineer Nick Zhu, this D3.js cookbook features over 65 recipes. ? Solve real-world visualization problems using D3.js practical recipes ? Understand D3 fundamentals ? Includes illustrations, ready-to-go code samples and pre-built chart recipes

Preface

Preface

What this book covers

What you need for this book

Who this book is for

Sections

Conventions

Reader feedback

Customer support

Free Chapter

1. Getting Started with D3.js

1. Getting Started with D3.js

Introduction

Setting up a simple D3 development environment

Setting up an NPM-based development environment

Understanding D3-style JavaScript

2. Be Selective

2. Be Selective

Introduction

Selecting a single element

Selecting multiple elements

Iterating through a selection

Performing subselection

Function chaining

Manipulating the raw selection

3. Dealing with Data

3. Dealing with Data

Introduction

Binding an array as data

Binding object literals as data

Binding functions as data

Working with arrays

Filtering with data

Sorting with data

Loading data from a server

Asynchronous data loading using queue

4. Tipping the Scales

4. Tipping the Scales

Introduction

Using continuous scales

Using the time scale

Using the ordinal scale

Interpolating a string

Interpolating colors

Interpolating compound objects

5. Playing with Axes

5. Playing with Axes

Introduction

Working with basic axes

Customizing ticks

Drawing grid lines

Dynamic rescaling of axes

6. Transition with Style

6. Transition with Style

Introduction

Animating a single element

Animating multiple elements

Using ease

Using tweening

Using transition chaining

Using transition filter

Listening to transitional events

Working with timer

7. Getting into Shape

7. Getting into Shape

Introduction

Creating simple shapes

Using a line generator

Using line curve

Changing line tension

Using an area generator

Using area curve

Using an arc generator

Implementing arc transition

8. Chart Them Up

8. Chart Them Up

Introduction

Creating a line chart

Creating an area chart

Creating a scatterplot chart

Creating a bubble chart

Creating a bar chart

9. Lay Them Out

9. Lay Them Out

Introduction

Building a pie chart

Building a stacked area chart

Building a treemap

Building a tree

Building an enclosure diagram

10. Interacting with Your Visualization

10. Interacting with Your Visualization

Introduction

Interacting with mouse events

Interacting with a multi-touch device

Implementing zoom and pan behavior

Implementing drag behavior

11. Using Force

11. Using Force

Introduction

Using gravity and charge

Customizing velocity

Setting the link constraint

Using force to assist visualization

Manipulating force

Building a force-directed graph

12. Knowing Your Map

12. Knowing Your Map

Introduction

Projecting the US map

Projecting the world map

Building a choropleth map

13. Test Drive Your Visualization

13. Test Drive Your Visualization

Introduction

Getting Jasmine and setting up the test environment

Test driving your visualization - chart creation

Test driving your visualization - SVG rendering

Test driving your visualization - pixel-perfect bar rendering

Appendix. Building Interactive Analytics in Minutes

Appendix. Building Interactive Analytics in Minutes

Introduction

The crossfilter.js library

Dimensional charting - dc.js

Introduction

In this chapter, we will turn our attention to one of the oldest and well-trusted companions in data visualization-charts. Charts are well-defined and well-understood graphical representation of data; the following definition expresses it in the simplest terms:

(In charts) the data is represented by symbols, such as bars in a bar chart, lines in a line chart, or slices in a pie chart.

Jensen C. & Anderson L. (1991)

When charts are used in data visualization, their well-understood graphical semantics and syntax relieve the audience of your visualization from the burden of learning the meaning of the graphical metaphor. Hence, they can focus on the data itself and the information generated through visualization. The goal of this chapter is not only to introduce some of the commonly used chart types but also to demonstrate how the various topics and techniques you learned so far can be combined and leveraged in producing sleek, interactive charts using D3.

Recipes in this chapter...

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Tech Concepts

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Programming languages

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