What are imputation methods in data analysis?
An example of an AI chatbot conversation about imputation methods in data analysis.
What are imputation methods in data analysis?
Imputation methods are techniques used to fill in missing data in datasets, ensuring more accurate analysis.
Can you explain some common imputation methods?
Sure! Common methods include mean imputation, median imputation, and k-nearest neighbors imputation.
When should I use mean imputation over median imputation?
Use mean imputation for normally distributed data and median for skewed data to avoid bias.
Are there any drawbacks to using imputation methods?
Yes, imputation can introduce bias and reduce variability, so it's important to choose methods carefully.
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