Receive suggestions for basic methods to address missing values in your dataset, such as removal or simple imputation techniques.
Task: Suggest basic methods for handling missing data in a dataset. Context: I have a dataset with missing values in column '[column_name]'. Output Goal: Provide 3-5 common methods and a brief explanation for each.
Design a robust plan for handling missing data, including imputation methods, justification, and impact assessment on dataset integrity.
Create a tailored strategy for handling missing data, getting recommendations on imputation methods based on your dataset's characteristics.
This prompt helps identify various forms of missing data in a dataset and suggests strategies for handling them, including imputation and deletion methods.
