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Answer: Use imputation techniques such as mean, median, or mode filling, or forward/backward filling, based on the context of the data.
Option C is the correct approach as it involves using appropriate imputation techniques to handle missing data, ensuring the dataset's integrity is maintained without losing valuable information.
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You are given a dataset with numerous missing values and nulls. Describe how you would handle these missing data points, including the strategies you would employ to fill or remove them without compromising the dataset's integrity.
A
Remove all rows with missing data or nulls to simplify the dataset.
B
Fill missing data with arbitrary values without any specific strategy.
C
Use imputation techniques such as mean, median, or mode filling, or forward/backward filling, based on the context of the data.
D
Ignore missing data as they are not critical to the analysis.