Description

Enter your sample size, missing-data rate/pattern (MCAR/MAR/MNAR), missing-data method (listwise deletion, multiple imputation, etc.), and outlier detection method (Z-score, IQR, Mahalanobis) to generate an academic paragraph that can be added directly to the "Data Preprocessing" section of your paper. If there is a methodological inconsistency between your selected method and the missing-data pattern (for example, using listwise deletion for an MNAR pattern), it will be clearly identified. Suitable for graduate students and researchers conducting survey or clinical data analysis who want to write their data preprocessing section quickly and accurately.