Ingénierie des Données Appliquée sous SAS : Traitement, Organisation et Analyses

Keita, Moussa (2016): Ingénierie des Données Appliquée sous SAS : Traitement, Organisation et Analyses.

Abstract

The conduct of any statistical study, whether it is descriptive, exploratory, explanatory or predictive first requires a phase of data processing, organization and structuring. However nowadays with the emergence of Big Data, the practical implementation of these operations is becoming increasingly complex because of the multiplicity and diversity of data sources which are sometimes non-homogeneous. Based on SAS software, this manuscript offers a description of the different stages of data engineering which goes from the collection phase to the analysis phase. This work is organized in four chapters. The first chapter is devoted to the description of the data structuring and data preparation operations in SAS using the tools of the DATA STEP. The second chapter is an extension of the first by introducing the use of SQL language in the data organization phase. The third chapter describe the use of macro-variables and macro-programs in the implementation of complex and repetitive tasks. And finally the fourth chapter presents a detailed description of the various data analysis methods. In each of these chapters, all the concepts covered are supported by concrete applications examples enabling the user to choose among all the proposed methods the one that best meets its concerns. However, since the manuscript still ongoing progress, we remain open to all criticisms and suggestions which would improve its content.

• Item Type: MPRA Paper
• English Title: Data Engineering Applied in SAS: Processing, Organization and Analysis
• Language: French
• Keywords: Data processing, SAS programming, Data analysis.
• Subjects: C - Mathematical and Quantitative Methods > C8 - Data Collection and Data Estimation Methodology ; Computer Programs

References

Burlew, Michele M.( 2006), SAS® Macro Programming Made Easy, Second Edition. Cary, NC: SAS Institute Inc.,.

Cody, R. P., & Smith, J. K. (2006). Applied statistics and the SAS programming language (5th ed.). Upper Saddle River, NJ: Pearson/Prentice-Hall.

Constable, N. (2007). SAS programming for Enterprise Guide users. Cary, NC: SAS Institute.

Davis, J. B. (2007). Statistics using SAS Enterprise Guide. Cary, NC: SAS Institute.

Der, G., & Everitt, B. S. (2007). Basic statistics using Enterprise Guide: A primer. Cary, NC: SAS Institute.

Dilorio, F., et. al., (2004) “Dictionary Tables and Views: Essential Tools for Serious Applications” Proceedings of the Twenty Ninth SAS Users Group International Conference, 237-29

Gamst, G., Meyers, L. S., & Guarino, A. J. (2008). Analysis of variance designs: A conceptual and computational approach with SPSS and SAS. New York: Cambridge University Press.

Hatcher, L. (2003). Step-by-step basic statistics using SAS: Student guide and exercises. Cary, NC: SAS Institute.

Hatcher, L., & Stepanski, E. J. (1994). Step-by-step approach to using the SAS system for univariate and multivariate statistics. Cary, NC: SAS Institute.

Knuth, D.E. (1973), The Art of Computer Programming, Volume 3. Sorting and Searching, Reading, MA: Addison-Wesley.

Peng, C. Y. J. (2009). Data analysis using SAS. Thousand Oaks, CA: Sage.

SAS (2011), SAS® 9.2 Language Reference: Dictionary, Fourth Edition. Cary, NC: SAS Institute Inc.

SAS (2011), SAS® 9.3 Macro Language: Reference. Cary, NC: SAS Institute Inc.

SAS (2011), SAS® 9.3 SQL Procedure User’s Guide. Cary, NC: SAS Institute Inc

Schlotzhauer, S., & Littell, R. (1997). SAS system for elementary statistical analysis (2nd ed.). Cary, NC: SAS Institute.

Slaughter, S. J., & Delwiche, L. D. (2006). The little SAS book for Enterprise Guide 4.1. Cary, NC: SAS Institute