It’s common to work with data where a “1” is recorded only when a specific event occurs, and missing values are present when the event does not occur.
To build predictive models related to event occurrence or to calculate the proportion of rows where the event occurs, it’s often more convenient to convert such data into a logical type with binary TRUE/FALSE values.
However, simply converting the data to logical type does not automatically turn missing values into “FALSE”. The following link introduces a method for filling in missing values in logical columns with FALSE: