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.

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Presentation transcript:

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 ProjectsLibraries and Diagrams Process Flows Nodes...

4 Analysis Element Organization ProjectsLibraries and Diagrams Process Flows Nodes

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 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

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

11 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....

12 Charity Direct Mail Demonstration Analysis data: Extracted from previous year's campaign Sample balances response/non-response rate Actual response rate approximately 5% 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.

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

14 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

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

16 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.

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

18 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.