Added intro to scatterplots on stub (#23682)
* Added intro to scatterplots on stub * Update index.mdpull/34455/head
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@ -3,8 +3,11 @@ title: Visualize Data with a Scatterplot Graph
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## Visualize Data with a Scatterplot Graph
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This is a stub. <a href='https://github.com/freecodecamp/guides/tree/master/src/pages/certifications/data-visualization/data-visualization-projects/visualize-data-with-a-scatterplot-graph/index.md' target='_blank' rel='nofollow'>Help our community expand it</a>.
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<a href='https://github.com/freecodecamp/guides/blob/master/README.md' target='_blank' rel='nofollow'>This quick style guide will help ensure your pull request gets accepted</a>.
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<!-- The article goes here, in GitHub-flavored Markdown. Feel free to add YouTube videos, images, and CodePen/JSBin embeds -->
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**The Use of a Scatterplot Graph**
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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.
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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.
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