Building Responsive Data Visualizations with D3.js – Packt Publishing

Description

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Building Responsive Data Visualizations with D3.js

Create stunning D3 data visualizations and render them as part of a responsive design

Create stunning D3 data visualizations and render them as part of a responsive design

About This Video

Harness the power of D3.js to create amazing visualization, from bar charts to choropleth maps

Explore numerous plugins and libraries including Bootstrap and Pym to build responsive pages and visualizations

Quickly learn the crucial concepts and best practices for responsive web designs

In Detail

As part of the user interface, it is important that data visualizations are context aware and should adjust according to screen size, media type, and other similar aspects. To tackle this, it is essential for web developers to ace at both D3 and responsive design using Bootstrap to make visualizations responsive across different viewing platforms. D3 is currently the go-to data visualization library, offering greater integration with web standards, and better customizability than other data visualization libraries available.

This video course starts out by describing ways in which D3.js fits into existing web standards to provide data visualization solutions that can be easily integrated. After working through the basic flow of simple visualizations, we’ll start adding features: tooltips, axes, and scales. We’ll take a look at interactivity and transitions. Then we’ll walk through the use of external data sources, including CSV, TSV, JSON, and GeoJSON, which will prepare us for more in-depth visualizations.

Further on we’ll tackle responsive design, covering all the basic concepts, and then work our way through a site mockup the old fashioned way, looking for breakpoints and using media queries to provide smooth screen size transitions. Our work with responsive design will then be applied to a number of our early data visualizations.

We’ll resume our focus on responsive design later in the course when we’ll cover using Bootstrap and Pym.js, a JavaScript library that enables the embedding of responsive iFrames. The data visualizations we’ll tackle in the final sections of the course will include mapping with Topo and GeoJSON.

By the end of this course, you will have an armoury full of tools to create feature-rich data visualizations with D3.js that are responsive on different platforms.

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Course Curriculum

Building Blocks 1 – Noninteractive, Reusable Charts

• Course Overview (4:15)
• Creating a Bar Chart with SVGs (4:01)
• Creating a D3 Bar Chart (6:13)
• Creating a D3 Line Chart (3:30)
• Creating a D3 Scatterplot (3:13)

Building Blocks 2 – Adding Scales, Axes, and Labels

• Adding Simple Labels (2:37)
• Creating Tooltips for Your Visualization (3:31)
• Utilizing D3 Scales (5:33)
• Adding Axes (5:27)

Responsive Visual Strategies

• Defining Responsive and Mobile-first Design (5:30)
• Using Media Queries and Addressing Breakpoints (8:26)
• Choosing a Visualization Style Based on the Media Type (3:41)
• Matching the Chart Size with the Container Size (4:42)
• Scaling All Visualization Elements Based on Container Size (3:32)

Building Blocks 3 – External Data Sources

• Integrating CSV Data (8:08)
• Getting Data from JSON (3:02)
• Building a Map with GeoJSON (6:38)

Building Blocks 4 – Interactivity

• Using Transitions (4:36)
• Filtering Data (4:06)
• D3 Layouts (8:32)

Mapping with GeoJSON

• Setting Up the Basemap (5:11)
• Chloropleths (3:35)
• Adding Tooltips and Legends to Our Map (3:37)

Making It Mobile-first

• Drawing Maps According to Screen Size (4:48)
• Throwing in Bootstrap (4:59)
• Integrating Pym into Your Visualization (3:17)

Moving Forward

• Recapping What We’ve Covered (2:18)
• What to Read and Whom to Follow (1:12)

Get Building Responsive Data Visualizations with D3.js – Packt Publishing, Only Price $37

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