Question

Suppose you have about 9 percent of missing values in your data. Explain how to treat the data.

A discrete data

A continuous data

Answer 1

1) In the case of discrete data, we should replace all missing values with the mode of remaining available data.

2) In the case of continuous data, there are many possibilities like:

a) replacing missing values by mean of available data

b) Building any predictive model on the available data and then using this model to predict missing values.

But usually, we replace all missing values with the mean of remaining available data.

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