Which of the following describes good data?

Good data encompasses a wide range of types, including valid entries, unusual but valid cases, invalid data, and boundary condition data. This comprehensive definition recognizes that not all useful data fits neatly into a standard category.

Valid data refers to entries that meet the established criteria for correctness, while valid but unusual data might highlight outliers or unique cases that warrant further investigation. Including invalid data in the scope of good data can be essential for understanding data quality issues and areas for improvement. Finally, boundary condition data represents edge cases that test the limits of your data’s parameters. Recognizing all these types of data allows analysts to have a more nuanced approach to data evaluation, ensuring that even non-standard or unexpected data points can inform decision-making and drive insights.

This broader perspective is critical for effective data analysis, as it prepares analysts to deal with the complexities and variabilities inherent in real-world datasets.