Gain insights into creating interactive web data visualizations with D3.js. Learn about SVGs, selections, advanced scatter plots, scales, animations, and interactivity to transform data into meaningful insights.

In this course, you will learn to create your own interactive data visualizations for the web with D3.js, a very popular JavaScript library. 

Starting with the fundamentals, you'll learn about SVG, selections, classes, and styles, as well as displaying data. This will give you the base to start working with more advanced concepts. 

Once you’ve got the basics out of the way, you will start practicing drawing various scatter plots, where you’ll learn all the best practices for creating stunning visualizations.

Lastly, you will dive into scales and one of the more fun parts: adding animation and interactivity.

By the time you finish this course, you will have a powerful new library to add to your resume, and you’ll be able to transform data into meaningful insights.

Master D3.js for Data Visualization

The purpose of joining data is to be able to manipulate an element based on the data. D3 allows us to change an element’s properties while accessing the associated data. Let’s explore how it is done.

# Outputting the data

Previously, we were outputting a static string in the `text()` method.

```javascript
text("Hello")
```

Instead of passing in a static value, we will replace this value with a function.

Our elements have access to our data. Let's learn how to use the data to manipulate the elements in our document.

Overview

SVG Basics

D3 Fundamentals

Drawing a Scatter Plot

Scales

Animations & Interactivity

Even More Charts!

Conclusion

Displaying Data

Outputting the data