Data processing and analysis are essential stages in the research process as they transform raw data into meaningful information that can be interpreted and used for drawing conclusions. The quality of research findings largely depends on the systematic processing and accurate analysis of collected data. In research methodology, these stages provide a scientific foundation for understanding relationships, testing hypotheses, and developing valid knowledge. Data processing refers to the systematic organization, classification, and preparation of collected data for analysis. After data collection, researchers often receive large amounts of raw information that may contain errors, inconsistencies, or incomplete responses. Data processing helps in improving the accuracy and reliability of data