What does Richness measure in a data sample?

Richness measures the percentage of relevant documents within a data sample, indicating the quality of the data in terms of relevance. This metric is crucial in data analytics because it helps assess how well the sample aligns with the desired outcome of an analysis or a review process. A higher richness percentage suggests that a larger portion of the dataset contains information pertinent to the task at hand, thereby improving the efficiency of future reviews and analyses.

This measure gives insights into the effectiveness of the data curation process and is often used to determine whether the dataset is suitable for further in-depth analytics. When discussions around data quality arise, richness serves as a key performance indicator, guiding analysts in decision-making and resource allocation.