Data Preprocessing Questions
Data imputation using mean is a technique in data preprocessing where missing values in a dataset are replaced with the mean value of the available data. This method is commonly used when dealing with numerical data and helps to maintain the overall statistical properties of the dataset. By replacing missing values with the mean, it ensures that the imputed values are representative of the existing data and minimizes the impact of missing data on subsequent analysis or modeling tasks.