IBM SPSS Data Preparation 19

• Tongue: English
• Leaves: 157
• Category: Library

✦ Synopsis

SPSS Inc. 1989, 2010. Фирменное руководство по процедурам подготовки данных для IBM SPSS 19. 157 страниц на английском.

Contents

Part I: User’s Guide
1 Introduction to Data Preparation
Usage ofData Preparation Procedures
2 Validation Rules
Load Predefined Validation Rules
Define Validation Rules
Define Single-Variable Rules
Define Cross-Variable Rules
3 Validate Data
Validate Data Basic Checks
Validate Data Single-Variable Rules
Validate Data Cross-Variable Rules
Validate Data Output
Validate Data Save
4 Automated Data Preparation
ToObtainAutomatic Data Preparation
ToObtain Interactive Data Preparation
Fields Tab
Settings Tab
PrepareDates&Times
Exclude Fields
AdjustMeasurement
Improve DataQuality
Rescale Fields
TransformFields
Select and Construct
FieldNames
Applying and Saving Transformations
Analysis Tab
Field Processing Summary
Fields
Action Summary
Predictive Power
Fields Table
FieldDetails
Action Details
BacktransformScores
5 Identify Unusual Cases
Identify Unusual Cases Output
Identify Unusual Cases Save
Identify Unusual CasesMissing Values
Identify Unusual Cases Options
DETECTANOMALY Command Additional Features
Optimal Binning 53
OptimalBinning Output
OptimalBinning Save
OptimalBinningMissing Values
OptimalBinning Options
6 OPTIMAL BINNING Command Additional Features

Part II: Examples
7 Validate Data
Validating aMedicalDatabase
PerformingBasic Checks
Copying andUsing Rules fromAnother File
Defining Your Own Rules
Cross-Variable Rules
Case Report
Summary
Related Procedures
8 Automated Data Preparation
UsingAutomatedData Preparation Interactively
Choosing Between Objectives
Fields and Field Details
UsingAutomatedData PreparationAutomatically
Preparing the Data
Building aModel on theUnprepared Data
Building aModel on the Prepared Data
Comparing the Predicted Values
Backtransforming the Predicted Values
Summary
9 Identify Unusual Cases 106
Identify Unusual Cases Algorithm
IdentifyingUnusual Cases in aMedicalDatabase
Running the Analysis
Case Processing Summary
Anomaly Case Index List
Anomaly Case Peer ID List
Anomaly Case Reason List
Scale VariableNorms
Categorical VariableNorms
Anomaly Index Summary
Reason Summary
Scatterplot ofAnomaly Index by Variable Impact
Summary
Related Procedures
10 Optimal Binning
TheOptimalBinning Algorithms
UsingOptimalBinning toDiscretize LoanApplicantData
Running the Analysis
Descriptive Statistics
Model Entropy
Binning Summaries
Binned Variables
Applying Syntax Binning Rules
Summary
Appendices
A Sample Files
B Notices
Bibliography
Index

✦ Subjects

Библиотека;Компьютерная литература;SPSS