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Contents

  • Understanding the Importance of Data Cleaning
    • Initial Assessment
      • Handling Missing Values
        • Detection
          • Treatment Options
          • Dealing with Duplicates
            • Standardizing Data
              • Handling Outliers and Anomalies
                • Detection Methods
                  • Treatment Options
                  • Data Type Conversion and Normalization
                    • Tools for Data Cleaning
                      • Best Practices and Documentation

                        Effective Techniques for Cleaning a Data Set

                        contributorcontributorcontributor
                        2 minute read
                        TechnologyEducationBusinessData Science
                        A vibrant illustration of a magnifying glass hovering over a complex data set, symbolizing the process of identifying and cleaning errors.
                        Published January 25, 2025
                        Last Updated May 29, 2025
                        contributorcontributorcontributor
                        2 minute read

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