Handling Missing Data: Mean, Median, or Removal?

C. Filling in the missing data with the mean or median value is a common approach to handling missing data. This method, known as imputation, replaces missing values with the average (mean) or the middle value (median) of the available data for that particular feature. While this can be a simple solution, it's important to consider the potential biases it might introduce. For example, using the mean could skew the distribution of the data if the missing values are systematically different from the existing data.