When working with event-based datasets, it’s common to encounter columns that record a value only when a specific event occurs — for example, a “1” indicating that the event happened — while leaving all other cases as missing values.
For building predictive models related to attrition or calculating the percentage of employees who have left, it is often more convenient to convert such data into a logical type with TRUE/FALSE values.
When working with event-based datasets, it’s common to encounter columns that record a value only when a specific event occurs — for example, a “1” indicating that the event happened — while leaving all other cases as missing values."
So the following link would tell you the process of converting a column that records a “1” only when an event occurs into a logical data type.