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  5. Introduction to Anomaly Detection in R

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Exercise

Visualizing thyroid disease

In previous chapters, we considered data with two or fewer features. As the number of features increases, it becomes harder to visually assess whether individual points are anomalous.

In cases where anomaly labels are available, it is important to use scatterplots to visualize how the distribution of anomalies varies with different combinations of features.

Instructions 1/3

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  • Use a scatterplot to show TSH against T3 measurements.
  • Show the points as filled bullets with TSH as the y-axis variable.