How do I choose the right method for detecting outliers?
An example of an AI chatbot conversation about choosing methods for outlier detection.
What are some common methods for detecting outliers?
Common methods include Z-scores, IQR, and DBSCAN. Each has its strengths depending on the data.
How do I decide which method to use?
Consider the data distribution, the presence of noise, and the specific context of your analysis.
Can you explain the IQR method?
Sure! The IQR method identifies outliers by calculating the interquartile range and finding values outside 1.5 times the IQR.
What if my data is not normally distributed?
In that case, methods like the IQR or robust statistical techniques may be more appropriate than Z-scores.
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