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Home > Data > Data Visualization > Learning Responsive Data Visualization
Learning Responsive Data Visualization
Learning Responsive Data Visualization

Learning Responsive Data Visualization: Create stunning data visualizations that look awesome on every device and screen resolutions

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Learning Responsive Data Visualization

Chapter 2. Creating a Bar Chart Using D3.js and SVG

In this chapter, you will learn how to create a bar chart, including proper axis and scales—this requires some basic knowledge in D3, which will also be covered here. You will learn the following:

  • How to select and transform DOM elements using D3
  • How to use D3 with SVG elements
  • How to use a data-driven approach to create visualizations
  • How to use data binding and data joins
  • How to use dynamic properties
  • How to draw lines, areas, and arcs
  • How to use scales
  • How to draw axis
  • How to create a bar chart

First, we will start with some simple DOM selections and transformations of HTML elements and continue creating SVG elements using D3. We will also see how to bind data to the DOM and apply data-driven transformations using data joins and dynamic properties.

In the second section, we will see one of the built-in SVG abstractions in D3—the so-called generator functions—especially line, area, and arc generators. These abstractions...

Getting started with D3.js

In this chapter, we will create our first bar chart using D3.js and SVG; however, to get there, we will have to go through some basics. These basic concepts are very important because they will give you the freedom to create visualizations for almost everything that you have in your mind. The more of them you know and understand, the more crazy things you can do with D3.

D3.js is a powerful JavaScript library for data-driven DOM manipulations and includes predefined abstractions, transformations, and helpers to work with SVG elements. This makes it an excellent library to write interactive data visualization components using web standards and the complete capabilities of modern web browsers.

Don't worry if you think that this definition is full of fancy buzzwords because in this section, we will walk through all of them. You will understand exactly what they mean and why this makes D3 and SVG a great combination to create visualizations.

Selecting and manipulating...

Drawing shapes with D3

D3 is a great library to create web visualizations because it includes a lot of useful abstractions when working with SVG elements. In this section, we will look at some of these SVG abstractions to draw shapes. These abstractions for drawing shapes are called generators in D3; we will mainly use the line-, area-, and arc-generators when creating visualizations.

Note

All SVG shape abstractions can be found in the D3 Github page at https://github.com/mbostock/d3/wiki/API-Reference#d3svg-svg.

Drawing Lines and Curves

If you've ever used the SVG path element and the d attribute to create custom shapes or Bézier curves, you already know that this is not as easy as it should be. Those who have never used the SVG path element only need to know that you would have to learn a special syntax to define and concatenate control points for a Bézier curve.

Note

You can find more information about the d attribute on MDN at https://developer.mozilla.org/en-US/docs/Web/SVG...

Creating Scales and Axis

D3 is often mistaken for a charting library, which is not really correct. D3 provides loads of built-in functions to easily create interactive charts; however, it is not a charting library. One of these typical built-in charting helpers are the closely related Scales and axis generators. You will learn about them in this section.

At the end of this section, we want to be able to draw a simple axis as the one in the following figure. Therefore, we need to scale our dataset to a specific pixel range (using Scales) and create all the SVG elements for the axis (using axis generators):

Creating Scales and Axis

Axis in D3

Mapping data values to a Pixel Range with scales

The concept of scales is very important when we deal with graphics and visualization. It is a common task to scale values from a certain domain to a certain range of pixels. We need them to create tick values on axes, and we need them to scale our data points to the area of the chart.

The following figure explains the problem a little...

A simple bar chart

Congratulations, you've gathered all the knowledge to build your first bar chart; and this is exactly what we will do in this section. In the following figure, we will create a bar chart that has axis, scales, bars, and labels.

A simple bar chart

A simple bar chart

Let's start with a simple setup—a blank HTML page that loads the D3 library from the bower components directory. In addition, we define the crispEdges rendering for path elements in the header:

<!doctype HTML>
<html>
<head>
<title>Bar Chart</title>
<script src="bower_components/d3/d3.min.js"></script>

<style>
      .axis path, .axis line {
        fill: none;
        stroke: #999;
        shape-rendering: crispEdges;
      }
      .data rect {
        stroke: red;
        fill: rgba(255, 0, 0, 0.5);
      }
</style>

</head>
<body>
<script>
    // Our code goes here
</script>
</body>
</html>

Now, we can start to write...

Summary

In this chapter, you learned how to select DOM elements and do data-driven transformations using data joins and dynamic properties. We also saw how to use shape and axis generator functions to quickly create common shapes such as lines or areas.

In the end of this chapter, we built our first simple (almost) responsive bar chart. The bar chart already adapts to the width of the browser window on the page load, but it doesn't get recomputed when we change the browser dimensions.

In the next chapter, we will take a look at loading, filtering, and grouping data. This is very important because almost always we will have to load remote data in a certain format (such as CSV) and then process, filter, or group it afterwards in order to visualize it.

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Page 1 of 6

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Key benefits

  • Learn the techniques for building data visualizations that work well for all screen sizes
  • Implement responsive techniques with popular libraries to get to grips with building responsive visualizations that work in the real world
  • Incorporate responsive workflow in your data visualization process to build visualizations that take a mobile-first approach.

Description

Using D3.js and Responsive Design principles, you will not just be able to implement visualizations that look and feel awesome across all devices and screen resolutions, but you will also boost your productivity and reduce development time by making use of Bootstrap—the most popular framework for developing responsive web applications. This book teaches the basics of scalable vector graphics (SVG), D3.js, and Bootstrap while focusing on Responsive Design as well as mobile-first visualizations; the reader will start by discovering Bootstrap and how it can be used for creating responsive applications, and then implement a basic bar chart in D3.js. You will learn about loading, parsing, and filtering data in JavaScript and then dive into creating a responsive visualization by using Media Queries, responsive interactions for Mobile and Desktop devices, and transitions to bring the visualization to life. In the following chapters, we build a fully responsive interactive map to display geographic data using GeoJSON and set up integration testing with Protractor to test the application across real devices using a mobile API gateway such as AWS Device Farm. You will finish the journey by discovering the caveats of mobile-first applications and learn how to master cross-browser complications.

Who is this book for?

Web developers and data science professionals who want to make their visualizations work for smaller screen sizes. Some basic knowledge of JavaScript and Data visualization is expected.

What you will learn

  • * Get familiar with responsive design for data visualizations
  • * Understand the main concepts of D3.js to create interactive visualizations
  • * Unleash the power of Bootstrap to create stunning and responsive visualizations for all screen resolutions
  • * Implement Touch and Mouse interactions for mobile-first applications
  • * Design Transitions and Animations that impress in portrait and landscape
  • * Build a Responsive World Map using GeoJSON and D3.js

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 23, 2016
Length: 258 pages
Edition : 1st
Language : English
ISBN-13 : 9781785884337
Category :
Data
Languages :
JavaScript
Concepts :
Data Visualization
Tools :
D3

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Publication date : Mar 23, 2016
Length: 258 pages
Edition : 1st
Language : English
ISBN-13 : 9781785884337
Category :
Data
Languages :
JavaScript
Concepts :
Data Visualization
Tools :
D3

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Learning Responsive Data Visualization
Learning Responsive Data Visualization
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Table of Contents

10 Chapters
1. Getting Started with Responsive Design, Bootstrap, and D3.js Chevron down icon Chevron up icon
1. Getting Started with Responsive Design, Bootstrap, and D3.js
What is Responsive Design?
Bootstrap – a popular mobile first CSS framework
Vector graphics in the browser with SVG
Creating graphics with D3.js
Summary
2. Creating a Bar Chart Using D3.js and SVG Chevron down icon Chevron up icon
2. Creating a Bar Chart Using D3.js and SVG
Getting started with D3.js
Drawing shapes with D3
Creating Scales and Axis
A simple bar chart
Summary
3. Loading, Filtering, and Grouping Data Chevron down icon Chevron up icon
3. Loading, Filtering, and Grouping Data
Preprocessing data
Loading and parsing remote data
Grouping data
Summary
4. Making the Chart Responsive Using Bootstrap and Media Queries Chevron down icon Chevron up icon
4. Making the Chart Responsive Using Bootstrap and Media Queries
Units and lengths in the browser
Responsive charts
Using Bootstrap's Media Queries
Summary
5. Building Responsive Interactions Chevron down icon Chevron up icon
5. Building Responsive Interactions
Using an event system
Panning and zooming
Summary
6. Designing Transitions and Animations Chevron down icon Chevron up icon
6. Designing Transitions and Animations
Is there a web standard for animations?
Creating animations with JavaScript
Transitions
Shape tweens
Summary
7. Creating Maps and Cartographic Visualizations Using GeoJSON Chevron down icon Chevron up icon
7. Creating Maps and Cartographic Visualizations Using GeoJSON
Overview of cartographic visualizations
Data representation for topology and geographic features
Maps and projections
Helpful tools for creating maps in D3
Types of geographic visualization
Summary
8. Testing Responsive Visualizations Chevron down icon Chevron up icon
8. Testing Responsive Visualizations
A guide on testing visualizations
Manual testing and debugging
Automated testing and Continuous Integration
A testing strategy for visualizations
Summary
9. Solving Cross-Browser Issues Chevron down icon Chevron up icon
9. Solving Cross-Browser Issues
A solution to cross-browser compatibility issues
Cross-browser Media Queries
Cross-browser SVG features
Handle touch and mouse events with ease
Summary
Index Chevron down icon Chevron up icon
Index

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Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3
(3 Ratings)
5 star 33.3%
4 star 66.7%
3 star 0%
2 star 0%
1 star 0%
Marc Aug 16, 2016
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Great resource for kick-starting any development in data visualization. The author clearly has a lot of experience in field. and the book is written in an approachable manner. Code snippets are usually accompanied by images representing the output of the code, which is very helpful. A great deal of emphasis is place upon established javascript conventions. However, readers should be familiar with the basics of programming as the book jumps straight into visualization concepts. 5/5
Amazon Verified review Amazon
Stefan Kupstaitis-Dunkler Aug 03, 2016
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
+ short, concise, comprehensible, simple- occasionally too short and simple+ many links for further reading to official documentation or interesting blog entries+ utilizing non-invasive text boxes throughout the chapters.+ The author understands how to direct the reader's attention at the important parts of the technologies introduced.+ Visualizations of examples AND concepts very helpfulBook audience: intermediate at HTML, CSS, JavaScript; Beginner of D3.js
Amazon Verified review Amazon
Georg H. Jul 03, 2016
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
Christoph Körner publishes a book very well suited for beginners.Starting with the basics (media queries, plotting options in the browser) he continues to explain how to create shapes in D3.I like that data wrangling is explained as usually data will need to be grouped or re-formatted to be useful for visualization in D3.Choosing the right resolution of the data for real responsiveness is covered as well.In my opinion, this book is targeted at beginners starting out with responsive data visualization. As such I really like that Christoph is covering everything from the basics onwards.As responsive visualization is important for web-applications I am missing a chapter of how to integrate D3 with a popular web framework like Angular.
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About the authors

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Profile icon Hanchett
Hanchett
Erik Hanchett is a software developer, blogger, and perpetual student who has been writing code for over 10 years. He currently resides in Reno Nevada, with his wife and two kids. He blogs about software development at ProgramWithErik.com. I would like to thank my wife Susan for helping me stay motivated. My friend F.B. Woods for all his help on the English language and Dr. Bret Simmons for teaching me the value of a personal brand. I would also like to thank all my friends and family that encouraged me along the way.
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Profile icon Körner
Körner
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Christoph Körner previously worked as a cloud solution architect for Microsoft, specializing in Azure-based big data and machine learning solutions, where he was responsible for designing end-to-end machine learning and data science platforms. He currently works for a large cloud provider on highly scalable distributed in-memory database services. Christoph has authored four books: Deep Learning in the Browser for Bleeding Edge Press, as well as Mastering Azure Machine Learning (first edition), Learning Responsive Data Visualization, and Data Visualization with D3 and AngularJS for Packt Publishing.
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