From e043c46efb3db41a2139aa8af54248818c7d4601 Mon Sep 17 00:00:00 2001
From: Paula Milenkova <44276092+paulamilenkova@users.noreply.github.com>
Date: Mon, 26 Nov 2018 03:27:15 -0800
Subject: [PATCH] Added intro to scatterplots on stub (#23682)
* Added intro to scatterplots on stub
* Update index.md
---
.../visualize-data-with-a-scatterplot-graph/index.md | 9 ++++++---
1 file changed, 6 insertions(+), 3 deletions(-)
diff --git a/guide/english/certifications/data-visualization/data-visualization-projects/visualize-data-with-a-scatterplot-graph/index.md b/guide/english/certifications/data-visualization/data-visualization-projects/visualize-data-with-a-scatterplot-graph/index.md
index 38c98ec8fd..81e0329e23 100644
--- a/guide/english/certifications/data-visualization/data-visualization-projects/visualize-data-with-a-scatterplot-graph/index.md
+++ b/guide/english/certifications/data-visualization/data-visualization-projects/visualize-data-with-a-scatterplot-graph/index.md
@@ -3,8 +3,11 @@ title: Visualize Data with a Scatterplot Graph
---
## Visualize Data with a Scatterplot Graph
-This is a stub. Help our community expand it.
-
-This quick style guide will help ensure your pull request gets accepted.
+
+**The Use of a Scatterplot Graph**
+
+Scatterplots are a visualization intended for `numerical` data. That is, they display the relationship between one numerical distribution and another. For instance, a scatter plot may be useful in plotting the relationship between number of groceries bought and the total amount paid for them at checkout.
+
+Scatterplots are particularly beneficial in uncovering an association between two numerical variables. Associations can be `positive` (if both variables are increasing together towards high values) or `negative` (while one variable increases, the other's values decrease). If we see some points isolated from the rest, then we can understand that outliers are also present in the data.