Exercise

Replacing missing values with constants

While removing missing data entirely maybe a correct approach in many situations, this may result in a lot of information being omitted from your models.

You may find categorical columns where the missing value is a valid piece of information in itself, such as someone refusing to answer a question in a survey. In these cases, you can fill all missing values with a new category entirely, for example 'No response given'.

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Print the count of occurrences of each category in so_survey_df's Gender column.