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  • Book Overview & Buying Mastering D3.js
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Mastering D3.js

Mastering D3.js

By : Pablo NAVARRO CASTILLO
3.7 (7)
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Mastering D3.js

Mastering D3.js

3.7 (7)
By: Pablo NAVARRO CASTILLO
Buy this Book

Overview of this book

If you are a software developer working with data visualizations and want to build complex data visualizations, this book is for you. Basic knowledge of D3 framework is expected. With real-world examples, you will learn how to structure your applications to create enterprise-level charts and interactive dashboards.
Table of Contents (14 chapters)
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Preface
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Preface
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What this book covers
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What you need for this book
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Who this book is for
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Conventions
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Reader feedback
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Customer support
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1
1. Data Visualization
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1. Data Visualization
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Defining data visualization
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Introducing the D3 library
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Summary
2
2. Reusable Charts
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2. Reusable Charts
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Creating reusable charts
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Using the barcode chart
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Creating a layout algorithm
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Summary
3
3. Creating Visualizations without SVG
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3. Creating Visualizations without SVG
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SVG support in the browser market
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Visualizations without SVG
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Polyfilling
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Using canvas and D3
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Summary
4
4. Creating a Color Picker with D3
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4. Creating a Color Picker with D3
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Creating a slider control
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Creating a color picker
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Summary
5
5. Creating User Interface Elements
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5. Creating User Interface Elements
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Highlighting chart elements
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Creating tooltips
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Selecting a range with brushing
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Summary
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6. Interaction between Charts
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6. Interaction between Charts
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Learning the basics of Backbone
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The stock explorer application
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Summary
7
7. Creating a Charting Package
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7. Creating a Charting Package
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The development workflow
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Creating the package contents
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The project setup
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Using the package in other projects
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Summary
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8. Data-driven Applications
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8. Data-driven Applications
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Creating the application
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Hosting the visualization with GitHub Pages
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Hosting the visualization in Amazon S3
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Summary
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9. Creating a Dashboard
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9. Creating a Dashboard
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Defining a dashboard
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Good practices in dashboard design
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Making a dashboard
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Summary
10
10. Creating Maps
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10. Creating Maps
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Obtaining geographic data
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Creating maps with D3
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Summary
11
11. Creating Advanced Maps
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11. Creating Advanced Maps
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Using cartographic projections
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Creating a rotating globe
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Creating an interactive star map
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Projecting raster images with D3
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Summary
12
12. Creating a Real-time Application
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12. Creating a Real-time Application
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Collaborating in real time with Firebase
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Creating a Twitter explorer application
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Creating the streaming server
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Creating the client application
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Summary
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Index
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Index

Creating a layout algorithm

Every chart makes assumptions about the kind and structure of the data that they can display. A scatter plot needs pairs of quantitative values, a bar chart requires categories with a quantitative dimension, and a tree map needs nested objects. To use a chart, the user will need to group, split, or nest the original dataset to fit the chart requirements. Functions that perform these transformations are called layout algorithms. D3 already provides a good set of layouts, from the simple pie layout to the more complex force layout. In this section, we will lean how to implement a layout algorithm, and we will use it to create a simple visualization using the barcode dataset.

The radial layout

The array with dates used in the barcode example can be visualized in several ways. The barcode chart represents every data item as a small bar in a time interval. Another useful way to display a series of events is to group them in intervals. The most common among these kind...

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