Unusual features (gaps, clusters, outliers)

Definition

Unusual features refer to patterns or characteristics in data that deviate significantly from what is expected based on typical behavior. These features can include gaps, clusters, or outliers.

Analogy

Imagine you're at an amusement park with roller coasters. Unusual features are like unexpected twists and turns on those roller coasters that make your heart race. Just as these unexpected elements add excitement to your ride experience, unusual features in data add intrigue and may require further investigation.

Related terms

Gaps: Gaps occur when there are missing values within a dataset or when there is no overlap between certain groups or categories.

Clusters: Clusters refer to groups of similar data points that appear close together. They can indicate patterns or subgroups within the data.

Outliers: Outliers are extreme values that lie far away from the other data points. They can be considered unusual features as they significantly deviate from the overall pattern of the data.