What is the primary consequence of dropping rows with missing values?

Question

Data Science — Easy

What is the primary consequence of dropping rows with missing values?

Accepted Answer

Dropping rows with missing values, known as listwise deletion, directly reduces the number of observations in the dataset. While it may sometimes introduce bias if the data is not missing completely at random, the most immediate and certain consequence is the reduction in the total count of available data points.