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: "Looking at our chart"
description: "Our hard work completed, we sit back and talk about what insights our chart can teach us."
useMdx: true
privateVideoUrl: https://fullstack.wistia.com/medias/426j3vuvc3
codeFolder: course/module_01/lesson_01.08/protected/code/02-making-a-scatterplot/end
---

# Looking at our chart

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  src="//codesandbox.io/s/bcu6s?fontsize=14&hidenavigation=1&theme=dark&autoresize=1&view=preview"
  style={{width: '100%', height: '35em'}}
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Now that we've finished drawing our scatter plot, we can step back and see what we can learn from displaying the data in this manner. Without running statistical analyses (such as the Pearson Correlation Coefficient or Mutual Analyses), we won't be able to make any definitive statements about whether or not our metrics are correlated. However, we can still get a sense of how they relate to one another.

Our hard work completed, we sit back and talk about what insights our chart can teach us.