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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
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Chapter 2: Accessing and Assaying Prepared Data
2.1 Introduction2.1 Introduction
2.2 Creating a SAS Enterprise Miner Project, Library, and Diagram
2.3 Defining a Data Source
2.4 Exploring a Data Source
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Chapter 2: Accessing and Assaying Prepared Data
2.1 Introduction
2.2 Creating a SAS Enterprise Miner Project, 2.2 Creating a SAS Enterprise Miner Project, Library, and DiagramLibrary, and Diagram
2.3 Defining a Data Source
2.4 Exploring a Data Source
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Creating a SAS Enterprise Miner Project
This demonstration illustrates creating a new SAS Enterprise Miner project.
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Creating a SAS Enterprise Miner Diagram
This demonstration illustrates creating a diagram in SAS Enterprise Miner.
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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 Source2.3 Defining a Data Source
2.4 Exploring a Data Source
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Defining a Data Source
SASFoundation
ServerLibraries
Select table. Define variable roles. Define measurement
levels. Define table role.
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2.01 Multiple Choice PollA 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?
a. the variable roles
b. the variable measurement levels
c. the data table role
d. all of the above
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2.01 Multiple Choice Poll – Correct AnswerA 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?
a. the variable roles
b. the variable measurement levels
c. the data table role
d. all of the above
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Charity Direct Mail DemonstrationAnalysis goal:
A veterans’ organization seeks continued contributions from lapsing donors. Use lapsing-donor responses from an earlier campaign to predict future lapsing-donor responses.
...
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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.
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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 Source2.4 Exploring a Data Source
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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.
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Modifying and Correcting Source Data
This demonstration illustrates validating data source variables using histograms.