Data Cleaning Techniques

Data cleaning is a critical step in the data analysis process. It involves identifying and correcting errors in the data to ensure accuracy and reliability.

Common Techniques

• Removing Duplicates: Ensures that each data entry is unique.
• Handling Missing Values: Involves strategies to deal with incomplete data.
• Standardizing Formats: Ensures consistency in data representation.

Implementing these techniques can significantly improve the quality of your data.