1. Chapter 2: Accessing and Assaying Prepared Data
2.1 Introduction
2.2 Creating a SAS Enterprise Miner Project, Library, and Diagram
2.3 Defining a Data Source
2.4 Exploring a Data Source

2. Chapter 2: Accessing and Assaying Prepared Data
2.1 Introduction
2.2 Creating a SAS Enterprise Miner Project, Library, and Diagram
2.3 Defining a Data Source
2.4 Exploring a Data Source

3. Analysis Element Organization
Projects
Libraries
and
Diagrams
Process
Flows
Nodes
...

4. Analysis Element Organization
Projects
Libraries
and
Diagrams
Process
Flows
Nodes
Datasources
Reports
Workspaces
System
EMWS
EMWS1 …
em_dgraph
IDs
Part
My Library

5. Chapter 2: Accessing and Assaying Prepared Data
2.1 Introduction
2.2 Creating a SAS Enterprise Miner Project, Library, and Diagram
2.3 Defining a Data Source
2.4 Exploring a Data Source

6. Creating a SAS Enterprise Miner Project
This demonstration illustrates creating a new SAS Enterprise Miner project.

7. Creating a SAS Library
This demonstration illustrates creating a new SAS library.

8. Creating a SAS Enterprise Miner Diagram
This demonstration illustrates creating a diagram in SAS Enterprise Miner.

9. Exercise
This exercise reinforces the concepts discussed previously.

10. Chapter 2: Accessing and Assaying Prepared Data
2.1 Introduction
2.2 Creating a SAS Enterprise Miner Project, Library, and Diagram
2.3 Defining a Data Source
2.4 Exploring a Data Source

11. Defining a Data Source Select table. Define variable roles.
Define measurement levels.
Define table role.
SAS
Foundation
Server
Libraries

13. 2.01 Multiple Choice Poll
A data source in SAS Enterprise Miner differs from a raw data file because a data source has additional metadata attached. This metadata includes which of the following?
the variable roles
the variable measurement levels
the data table role
all of the above
Type answer here

14. 2.01 Multiple Choice Poll – Correct Answer
A data source in SAS Enterprise Miner differs from a raw data file because a data source has additional metadata attached. This metadata includes which of the following?
the variable roles
the variable measurement levels
the data table role
all of the above
Type answer here

15. Charity Direct Mail Demonstration
Analysis goal:
A veterans’ organization seeks continued contributions from lapsing donors. Use lapsing-donor responses from an earlier campaign to predict future lapsing-donor responses.
...

16. Charity Direct Mail Demonstration
Analysis goal:
A veterans’ organization seeks continued contributions from lapsing donors. Use lapsing-donor responses from an earlier campaign to predict future lapsing-donor responses.
Analysis data:
Extracted from previous year's campaign
Sample balances response/non-response rate
Actual response rate approximately 5%

17. Defining a Data Source
This demonstration illustrates defining a SAS data source.

18. Exercise
This exercise reinforces the concepts discussed previously.

19. Chapter 2: Accessing and Assaying Prepared Data
2.1 Introduction
2.2 Creating a SAS Enterprise Miner Project, Library, and Diagram
2.3 Defining a Data Source
2.4 Exploring a Data Source

20. Exploring Source Data
This demonstration illustrates assaying and exploring a data source.

21. Changing the Explore Window Sampling Defaults
This demonstration illustrates changing the default behavior of SAS Enterprise Miner to give a random sample of data instead of a top sample for exploration.

22. Exercise
This exercise reinforces the concepts discussed previously.

23. Modifying and Correcting Source Data
This demonstration illustrates validating data source variables using histograms.

24. Data Access Tools Review
Link existing analysis data sets to SAS Enterprise Miner.
Set variable metadata.
Explore variable distribution characteristics.
Remove unwanted cases from analysis data.