An edition of Data preparation for analytics using SAS (2006)

Data preparation for analytics using SAS

by

  • 0 Want to read
  • 0 Currently reading
  • 0 Have read
Cover of: Data preparation for analytics using SAS by Gerhard Svolba, Gerhard Svolba
Not in Library

My Reading Lists:

Create a new list

Check-In

×Close
Add an optional check-in date. Check-in dates are used to track yearly reading goals.
Today
Notes
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read
Notes

Check nearby libraries

Buy this book

Last edited by ImportBot
August 2, 2020 | History
Edit
An edition of Data preparation for analytics using SAS (2006)

Data preparation for analytics using SAS

by

  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

This edition doesn't have a description yet. Can you add one?

Publish Date
Publisher
SAS Institute
Language
English
Pages
408

Check nearby libraries

Buy this book

Previews available in: English

Subjects

Business, Commercial analysis, Data marts, Data mining, Data processing, Electronic data processing, Enterprise miner, SAS (Computer file), Time-series analysis, Enterprise Miner, Sas (computer program), Business, data processing

Showing 2 featured editions. View all 2 editions?

Edition Availability
Cover of: Data Preparation for Analytics Using SAS
Data Preparation for Analytics Using SAS
Jul 03, 2019, SAS Institute
paperback
Libraries near you: WorldCat
Cover of: Data preparation for analytics using SAS
Data preparation for analytics using SAS
2006, SAS Institute
in English
  • Not in Library
Libraries near you: WorldCat

Add another edition?

Book Details

Table of Contents

Pt. 1. Data preparation: business point of view
ch. 1. Analytic business questions
Ch. 2. Characteristics of analytic business questions
Ch. 3. Characteristics of data sources
Ch. 4. Different points of view on analytic data preparation
Pt. 2. Data structures and data modeling
Ch. 5. The origin of data
Ch. 6. Data models
Ch. 7. Analysis subjects and multiple observations
Ch. 8. The one row-per-subject data mart
Ch. 9. The multiple-rows-per-subject data mart
Ch. 10. Data structures for longitudinal analysis
Ch. 11. Considerations for data marts
Ch. 11. Considerations for predictive modeling
Pt. 3. Data mart coding and content
Ch. 13. Accessing data
Ch. 14. Transposing one- and multiple-rows-per-subject data structures
Ch. 15. Transposing longitudinal data
Ch. 16. Transformations of interval-scaled variables
Ch. 17. Transformations of categorical variables
Ch. 18. Multiple interval-scaled observations per subject
Ch. 19. Multiple catagorical observations per subject
Ch. 20. Coding for predictive modeling
Ch. 21. Data preparation for multiple-rows-per-subject and longitudinal data marts
Pt. 4. Sampling, scoring, and automation
Ch. 22. Sampling
Ch. 23. Scoring and automation
Ch 24. Do's and don'ts when building data marts
Pt. 5. Case studies.

Edition Notes

Includes index.

Published in
Cary, NC
Series
SAS Press series

Classifications

Library of Congress
HF5548.2 .S875 2006, HF5548.2.S875 2006

The Physical Object

Pagination
xxii, 408 p. :
Number of pages
408

ID Numbers

Open Library
OL18005181M
Internet Archive
datapreparationf00phdg
ISBN 10
1599940477
ISBN 13
9781599940472
LCCN
2007275525
OCLC/WorldCat
82171634, 428738427
Library Thing
5989129

Source records

Internet Archive item record
Better World Books record
Library of Congress MARC record
Promise Item
Internet Archive item record
harvard_bibliographic_metadata record

Community Reviews (0)

Feedback?
No community reviews have been submitted for this work.

Lists

This work does not appear on any lists.

History

Download catalog record: RDF / JSON
August 2, 2020 Edited by ImportBot import existing book
June 29, 2019 Edited by MARC Bot import existing book
December 3, 2010 Edited by Open Library Bot Added subjects from MARC records.
January 23, 2010 Edited by WorkBot add more information to works
December 11, 2009 Created by WorkBot add works page