5. Data Preparation

Data preprocessing refers to processing raw data through a series of steps and techniques to ensure the quality and usability of the data and lay a solid foundation for subsequent analysis and modeling. The EasyMultiProfiler package provides a variety of common pre-processing methods in data analysis processes, covering critical steps such as standardization, batch calibration, filter analysis, feature transformation, and feature folding.