Data Preprocessing Questions
Data preprocessing refers to the process of transforming raw data into a format that is suitable for analysis. It involves various techniques and steps such as data cleaning, data integration, data transformation, and data reduction. The goal of data preprocessing is to improve the quality and reliability of the data, remove any inconsistencies or errors, and make it ready for further analysis and modeling.