Effective Techniques for Data Cleaning

Act as a data cleaning expert and guide me through effective techniques to clean and prepare my dataset for accurate analysis. Provide a detailed step-by-step approach, including identifying and handling missing values, correcting errors and inconsistencies, standardizing formats, identifying outliers, and ensuring data integrity. Focus on practical strategies for various data types and explain how each technique contributes to improving data quality and analysis results. If possible, suggest tools or scripts for automating these tasks and offer tips for documenting changes to maintain a clear record of modifications.