1) The unaggregated data made it difficult to draw meaningful conclusions.

2) The unaggregated report did not provide a clear picture of the overall performance.

3) Without an unaggregated view, the analysis may be incomplete.

4) It is important to consider unaggregated data to get a comprehensive understanding.

5) The unaggregated data points were scattered and hard to interpret.

6) The unaggregated information lacked cohesiveness and context.

7) The unaggregated figures varied significantly from one source to another.

8) An unaggregated approach can lead to oversights and errors in analysis.

9) Researchers struggled to make sense of the unaggregated data sets.

10) The unaggregated data set required further processing to be useful for decision-making.