Categories
Here, the arguments of mean function have been taken across the observation. The mean function calculates the average of varying values in one observation.
Feature | SAS View | SAS Dataset |
Merge Efficiency | One view is capable of performing a multi-table join. With SAS/CONNECT, a view can join datasets that are stored on varying host computers. | Multiple data steps are needed to merge datasets by common variables. |
Disk Space vs Processing Speed | A view doesn’t store any underlying data; thus, processing speed can get impacted | It stores the full data for faster processing |
Data Integrity | Data is dynamic; hence, whenever you refer to a view in a PROC step, the view gets executed and offers the data values as they currently exist in the underlying data | Here, the data remains static |
Data Preparation | Data gets processed in the existing form during its execution | Variables can get sorted and indexed before used |
Separation of Data from the Consumers’ Data | A view can offer custom, the prepackaged perspective of the underlying data. The query of view can get altered without changing the data | A custom perspective may need a dataset duplication; modifying the data may need replacing the entire dataset. |
Features | SAS | SPSS |
User Interface | Highly interactive UI | Moderately interactive UI |
Decision Making | Works along with Enterprise Miner | Possible to obtain answer tree |
Data Management | Advantageous than SPSS | Supports Data Management |
Documentation | Huge set of technical documentation | Lack of documentation |
