What does Information Density measure in a dataset?

Information Density in a dataset specifically measures the amount of insight or useful information contained within that dataset as compared to the total amount of data present. It primarily assesses how many rows contain meaningful data, which is quantified by the percentage of rows that have non-null values. This metric is essential because a dataset filled with null or irrelevant values conveys less information, reducing its overall utility for analysis and decision-making.

In this context, option that indicates the percentage of rows containing a non-null value accurately reflects how much useful information is available in the dataset, illustrating the concept of information density effectively. The higher this percentage, the denser the information, signaling that the dataset is rich in actionable insights.