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 38c98ec8fd5..81e0329e23c 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.