Hi, I’m Swizec Teller. Over the years I've helped over 10,000 engineers hone their craft. 

With React+D3v4 you'll learn the basics of building fast data visualization components in about an hour. Get started immediately without installing anything.

I based React+D3v4 on 20 years of experience with learning how to code on my own, reading blogs and articles, listening to professors, and working with mentors.

Don't know React? React+D3v4 starts at the very beginning.

Struggling with D3? Every function is explained.

Christina

I bought your course Because D3.js is highly flexible, and writing a bunch of method chaining sucks for D3

Frontend Engineer

Francois

I'm a react veteran who has always wanted to learn D3. I know enough about it to know there will be some quirks integrating with react, so figured your book would save me and my team from having to figure those out on our own. 

I use React because it is the sane way of doing things. I use D3 because I have to. I want nice interactive charts. I want to stay sane.

Software Engineer

Amit

In my old age, I love having practical examples to help me learn new things faster.

D3's docs alone are okay but marrying them with React (as a react newbie) is not as straightforward as someone handholding you through the process. And, since I don't have hours after work or on weekends to hack on things like I used to before I was married (or had kids), I need to optimize my learning.

I already owned your previous version and know it would be worth my money to buy the updated version.

Thanks for all of the hard work!

Freelance Engineer

Become a data visualization engineer with React + D3v4

We use **React to render everything**: the page, the SVG element, the particles inside. This lets us tap into React's algorithms that decide which nodes to update and when to garbage collect old nodes.

Then we use some **d3 calculations and event detection**. D3 has great random generators, so we take advantage of that. D3's mouse and touch event handlers calculate coordinates relative to our SVG. We need those, and React's click handlers are based on DOM nodes, which don't correspond to `(x, y)` coordinates. D3 looks at real cursor position on screen.

All **particle coordinates are in a Redux store**. Each particle also has a movement vector. The store holds some useful flags and general parameters, too. This lets us treat animation as data transformations. I'll show you what I mean in a bit.

We use **actions to communicate user events** like creating particles, starting the animation, changing mouse position, and so on. On each requestAnimationFrame, we **dispatch an "advance animation" action**.

On each action, the **reducer calculates a new state** for the whole app. This includes **new particle positions** for each step of the animation.

When the store updates, **React flushes changes** via props and because **coordinates are state, the particles move**.

The result is smooth animation.

Introduction

The Meat Start

Simpler Environment

The New Meat

Animation

Animating React Redux

Speed Optimizations

Conclusion

Appendices

Here's how it works