1 chapter 2: accessing and assaying prepared data 2.1 introduction 2.2 creating a sas enterprise...

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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

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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 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

3

Analysis Element Organization

Projects Librariesand

Diagrams

ProcessFlows

Nodes

...

4

Analysis Element Organization

Projects Librariesand

Diagrams

ProcessFlows

Nodes

5

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

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 Source2.3 Defining a Data Source

2.4 Exploring a Data Source

11

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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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 Source2.4 Exploring a Data Source

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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.

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Exercise

This exercise reinforces the concepts discussed previously.

23

Modifying and Correcting Source Data

This demonstration illustrates validating data source variables using histograms.

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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.