Data cleaning is essential because it helps to: - Eliminate Errors: Incorrect data can lead to false conclusions and potentially harmful public health decisions. - Ensure Consistency: Standardizing data formats and units of measurement allows for meaningful comparisons across studies. - Improve Quality: High-quality data enhances the reliability of epidemiological analyses.
