Missing Values

Missing values are data points that are absent from a dataset. These gaps can occur for various reasons, such as errors during data collection, incomplete surveys, or system malfunctions. Handling missing values is a crucial step in data cleaning to ensure the accuracy and reliability of subsequent analyses and reporting.

Visit the following resources to learn more:

• @article@Data Standardization: How It's Done & Why It's Important
• @article@Missing data