What is data imputation?
An example of an AI chatbot conversation about data imputation techniques.
What is data imputation?
Data imputation is a statistical method used to replace missing values in a dataset.
Why is data imputation important?
It's important because missing data can lead to biased results and affect the accuracy of analyses.
What are some common techniques for data imputation?
Common techniques include mean/mode imputation, regression imputation, and using algorithms like KNN.
Can you give an example of how to perform mean imputation?
Sure! To perform mean imputation, calculate the mean of the available data and replace missing values with this mean.
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