Book Image

D3.js Quick Start Guide

By : Matthew Huntington
Book Image

D3.js Quick Start Guide

By: Matthew Huntington

Overview of this book

D3.js is a JavaScript library that allows you to create graphs and data visualizations in the browser with HTML, SVG, and CSS. This book will take you from the basics of D3.js, so that you can create your own interactive visualizations, to creating the most common graphs that you will encounter as a developer, scientist, statistician, or data scientist. The book begins with an overview of SVG, the basis for creating two-dimensional graphics in the browser. Once the reader has a firm understanding of SVG, we will tackle the basics of how to use D3.js to connect data to our SVG elements. We will start with a scatter plot that maps run data to circles on a graph, and expand our scatter plot to make it interactive. You will see how you can easily allow the users of your graph to create, edit, and delete run data by simply dragging and clicking the graph. Next, we will explore creating a bar graph, using external data from a mock API. After that, we will explore animations and motion with a bar graph, and use various physics-based forces to create a force-directed graph. Finally, we will look at how to use GeoJSON data to create a map.
Table of Contents (10 chapters)

Parsing and formatting times

Note that the date properties of the objects in our runs array are strings and not date objects. This is a problem because xScale, as with all time scales, expects its data values to be date objects. Fortunately, D3 provides us an easy way to convert strings to dates and vice versa. We'll use a specially formatted string, based on the documentation (https://github.com/d3/d3-time-format#locale_format), to tell D3 how to parse the date string properties of the objects in our runs array into actual JavaScript date objects. Add the following at the end of app.js:

//this format matches our data in the runs array
var
parseTime = d3.timeParse("%B%e, %Y at %-I:%M%p");
console.log(parseTime('October 3, 2017 at 6:00PM'));
var formatTime = d3.timeFormat("%B%e, %Y at %-I:%M%p");
//this format matches our data in the runs array
console...