Lynda - D3.js Essential Training for Data Scientists

Lynda – D3.js Essential Training for Data Scientists
Size: 753 MB | Duration: 4h 39m | Video: AVC (.mp4) 1280×720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Intermediate | Language: English
Take your visualizations beyond boring charts.

D3. js enables you to create spatial maps, tree diagrams, stack charts, and more, all with a web browser and a few lines of code. Theres something for everyone in data science: statisticians, scientists, mathematicians, and analysts. D3. js Essential Training for Data Scientists unlocks the keys to this versatile approach. Follow along with data consultant Emma Saunders as she shows how to build beautiful and interactive data visualizations with D3. Start off with a review of HTML, CSS, and javascript-some basic coding skills you need to use the D3 library. Then learn how to make a simple bar chart and create basic shapes and text. Emma also introduces the path function and the power of generators for drawing more complex shapes. Then find out how to pull in JSON, XML, and CSV files to create more complex graphics such as tree and Voronoi diagrams, and manipulate your data for advanced graphics using map, stack, and nest functions. The course wraps up with tips for adding interactivity and picking the right graphic for your data.

Reviewing HTML, CSS, and javascript basics
Making a simple bar chart with D3
Understanding SVG graphics
Drawing basic shapes
Adding text
Using generators and the path element
Creating a scale and axes
Importing data into D3
Creating trees and Voronoi tessellations
Preparing your data for advanced graphics
Adding interactivity and transitions
Choosing the right graphic
Finding D3.js plugins

Lynda - D3.js Essential Training for Data Scientists
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