Grain and granularity
Grain is stated using minimum column names combination that uniquely define a single row , not a numeric count of columns.
Granularity
- Granularity in data refers to the level of detail
is expressed in levels of detail or hierarchy (e.g., transactional level, daily level, monthly level, or region level) describing how coarse or fine the data is.
The client wants to know how many policies are sold per month in a region."
Step 1: Break down the request
- Metric: Number of policies sold (Count of Policy ID).
- Dimensions: Time (Month) and Geography (Region).
Step 2: Determine the atomic level (The Grain)
Grain = One row per policy sale
( Policy_ID, Sale_Date, Agent_ID, Customer_ID, Branch_ID, Region_ID).
Granularity :
It is at the transaction level (specifically, one row per individual policy sale).
It would be at the store level (or branch level) if the data was aggregated to track total sales metrics per branch per day (e.g., Branch_ID, Sale_Date, and Total_Sales_Amount),
