Question

How to fill the missing values half dataset with one value and other half dataset with another value

Answer 1

Explanation:

And here are seven things you can do about that missing data:

✍✍✍ Listwise Deletion: Delete all data from any participant with missing values.

If your sample is large enough, then you likely can drop data without substantial loss of statistical power.

Answer 2

Answer:

Having missing values in your data is not necessarily a setback. In fact, oftentimes one can glean a lot of useful information from missing values, and they can be used for the purposes of feature engineering. One has to be careful though: if there is a feature in the dataset that has a really high percentage of missing values, then that feature, just like any other low variance feature, should be dropped.