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I'm trying to find out if there is a specific term for describing data created from computations based on raw data.

For example, I have the two data tables below. I'd like to know the term used to describe table #2. Thank you!

Data Table #1: Raw Data Based On Sales Transactions

|**TimeStamp**|-|**TransactionTotal**| -------------------------------------- | 09:30 |-| 100.00 | -------------------------------------- | 09:31 |-| 50.00 | -------------------------------------- | 09:35 |-| 10.00 | -------------------------------------- | 10:12 |-| 200.00 | -------------------------------------- | 10:18 |-| 100.00 |

Data Table #2: Calculations based on Sales Transactions

------------------------------------------------------ | Avg Transaction Value |-| 92.00 | ------------------------------------------------------ | Transaction Per Hour (09am) |-| 3.0 | ------------------------------------------------------ | Transaction Per Hour (10am) |-| 2.0 | ------------------------------------------------------ | Total Transactions |-| 5.0 | ------------------------------------------------------ | Avg Transaction Per Hour |-| 2.5 |
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    $\begingroup$ Welcome to DataScienceSE. This is usually called feature engineering afaik, $\endgroup$ Commented Aug 24, 2022 at 18:25

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In your specific case there, I would call them descriptive statistics of the raw data.

In the context of feeding those statistics into a model (treating them as features), you could call them manually generated features $\rightarrow$ the result of feature engineering.

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