Making Data Management Decisions with SAS.
Using the Mars Crater_pds data, data management by introducing the secondary variable, further narrows down our research.
Code:
OUTPUT:
I collapsed the responses for NUMBER_LAYERS , DIAM_CIRCLE_IMAGE , DEPTH_RIMFLOOR_TOPOG to create three new variables- layer_group, depth_group, diameter_group.
For layer_group, the most commonly endorsed response was 1 (99.78%), meaning that most Craters have layers ranging from 0-2. The endorsed response is completely zero for layers above 4.
For diameter_group, the most commonly endorsed response was 1 (99.46%), meaning that most Craters have Diameter ranging from 0-50 Km.
For depth_group, the most commonly endorsed response was 1 (99.92%), meaning that most Craters have Depth ranging from 0-2 Km. The endorsed response is completely zero for layers above 4km.












