How do I handle incomplete data in my dataset?
An example of an AI chatbot conversation about handling incomplete data in datasets.
How do I handle incomplete data in my dataset?
Handling incomplete data can be approached in several ways. You can either remove the incomplete entries, fill in missing values, or use algorithms that can handle missing data.
What methods can I use to fill in missing values?
Common methods include mean/mode/median imputation, using predictive models, or employing interpolation techniques.
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 impact of your chosen method.
How can I determine if my data is missing at 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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