Granular data is data that is in small pieces, for example in its most "raw format". The advantage of granular data is that it can be molded in any way that the data scientist or analyst requires, just like granules of sand. Granular data can be aggregated and disaggregated to meet the needs of different situations. The opposite is aggregated data which is data grouped by particular categories.
Hi there! Subscribe to our newsletter to get the latest from Datastory’s Global Edition.