What are the different types of outliers?
An example of an AI chatbot conversation about identifying various outlier types in data analysis.
What are the different types of outliers in data analysis?
In data analysis, outliers can be classified into three main types: point outliers, contextual outliers, and collective outliers.
Can you explain what a point outlier is?
A point outlier is an individual data point that significantly differs from the rest of the dataset, often due to measurement error or variability.
What about contextual outliers?
Contextual outliers are data points that are considered outliers only within a specific context or condition, like seasonal sales data.
And what are collective outliers?
Collective outliers are groups of data points that deviate significantly from the overall pattern, indicating a potential anomaly in the dataset.
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