PreProcessR: A comprehensive R package for efficient data preprocessing. Key features include outlier detection with calculate_IQR, data visualization via createHistograms, and optimal lambda estimation for Box-Cox transformations with estimateBoxCoxLambda. Ideal for preparing datasets for analytical modeling, enhancing data analysis workflows.
PreProcessR: A comprehensive R package for efficient data preprocessing. Key features include outlier detection with calculate_IQR, data visualization via createHistograms, and optimal lambda estimation for Box-Cox transformations with estimateBoxCoxLambda. Ideal for preparing datasets for analytical modeling, enhancing data analysis workflows.