Imputation

Imputation refers to the process of filling in missing values in time series data according to specific criteria. Its goal is to restore data integrity and ensure the accuracy and reliability of analysis results. Imputation has significant application value in fields such as finance, healthcare, and meteorology, effectively enhancing model performance and prediction accuracy.