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Diff for: content/plotly/concepts/graph-objects/terms/carpet/carpet.md

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@@ -5,8 +5,11 @@ Subjects:
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- 'Data Science'
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- 'Data Visualization'
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Tags:
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- 'Data'
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- 'Graphs'
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- 'Plotly'
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- 'Python'
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- 'Variables'
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CatalogContent:
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- 'learn-python-3'
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- 'paths/data-science'
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> **Note:** The layout of cheater plots depends upon the cheaterslope and axis cheatertype parameters, which can be adjusted to achieve the desired visual representation.
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Carpet plots provide a powerful way to visualize and analyze multi-dimensional data on a two-dimensional surface, especially for applications in engineering, physics, and advanced data analysis.
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To improve your data visualization skills, check out our [Intro to Data Visualization with Python](https://www.codecademy.com/learn/intro-to-data-visualization-with-python) course, where you'll learn to create line, bar, and pie charts, scatterplots, histograms, and more. You'll also learn how to customize charts and annotate them with error bars and text.

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