Chapter 2: Accessing and Assaying Prepared Data

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Presentation transcript:

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

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

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

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

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

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

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

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

Exercise This exercise reinforces the concepts discussed previously.

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

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

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

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

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. ...

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%

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

Exercise This exercise reinforces the concepts discussed previously.

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

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

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.

Exercise This exercise reinforces the concepts discussed previously.

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

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.