Charts communicate ideas with simplicity, clarity, and detail.

Once you're comfortable with D3 you can quickly:

* understand key metrics at a glance
* catch anomalies (before they turn into problems)
* give key insights to your customers
* and impress your boss and co-workers

Today, I will show you the exact methods I use to create beautiful, understandable data visualizations using D3.

The Fullstack D3 masterclass is the complete guide to D3. With dozens of code examples showing each step, you will gain new insights into your data by creating visualizations in this self-paced online course.

Fullstack D3 Masterclass

---
title: "Making a Scatterplot"
description: "We dive into making a slightly more complex chart: a scatter plot. In this lesson, we talk about why you would create a scatter plot and its basic anatomy."
useMdx: true
privateVideoUrl: https://fullstack.wistia.com/medias/palvvtoltg
---

# Intro

Now that we've created our first chart, let's create another chart that's a little more complex. At the end of this chapter, we'll have a deeper understanding of each step required to make a chart in d3.

There are endless questions we could ask our weather dataset — many of them ask about the relationship between different metrics. Let's investigate these two metrics:

-   **dew point** is the highest temperature (°F) at which dew droplets form
-   **humidity** is the amount of water vapor in the air

We dive into making a slightly more complex chart: a scatter plot. In this lesson, we talk about why you would create a scatter plot and its basic anatomy.