How can I handle missing categorical data in my dataset?
An example of an AI chatbot conversation about handling missing categorical data.
How can I handle missing categorical data in my dataset?
You can handle missing categorical data by using techniques like imputation, encoding, or removing missing values.
What are some imputation methods I can use?
Common imputation methods include using the mode, creating a new category for missing values, or using predictive models.
Is it better to remove rows with missing data?
It depends on the amount of missing data. If it's a small percentage, removal might be fine, but if it's significant, consider imputation.
How do I decide which method to use?
Evaluate the impact of missing data on your analysis, the amount of missing data, and the importance of the categorical variable.
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