Analyze Data Shape and Context Quick Check Describe gaps and clusters in the dataset.
Gaps in a dataset refer to missing values or missing data points in a specific range or category. These gaps can indicate areas where data collection might have been incomplete or where certain values were not recorded. Clusters, on the other hand, refer to groups or concentrations of data points that are close together in a specific area of the dataset.
For example, in a dataset of student test scores, gaps may appear if certain students did not take the test or if their scores were not recorded. Clusters may appear if a group of students performed exceptionally well or poorly on the test compared to the rest of the students.
Identifying and understanding gaps and clusters in a dataset can help to identify patterns, trends, or anomalies in the data that may require further investigation or analysis.