How do I handle missing data in my dataset?
An example of an AI chatbot conversation about handling missing data in datasets.
How do I handle missing data in my dataset?
Handling missing data can be approached in several ways. You can remove missing values, fill them in, or use algorithms that support missing data.
What are some methods to fill in missing values?
Common methods include mean/mode/median imputation, interpolation, and using predictive models to estimate missing values.
Are there any risks associated with filling in missing data?
Yes, filling in missing data can introduce bias or distort the dataset if not done carefully. It's important to analyze the reasons for the missing data.
How can I determine if my missing data is random?
You can use statistical tests like Little's MCAR test or analyze patterns in the missing data to assess randomness.
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