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Smith, CA (2002)

Detecting Anomalies in Your Data Using Benfordís Law

Paper 249 (Statistics and Data Analysis) in: Proceedings of SUGI 27, Orlando, USA, April 14-17.

ISSN/ISBN: Not available at this time. DOI: Not available at this time.



Abstract: Analyzing large amounts of data looking for anomalies can be a disheartening task. You need techniques that will allow you to quickly assess the data in ways that will highlight potential anomalies while keeping you from chasing the wind. Benfordís Law is one such technique. Using Benfordís Law and the SAS© System you can quickly identify one or more first digit patterns in numeric variables that defy statistical averages. Within this paper, the author will present SAS code that will enable you to quickly and easily find anomalies in the data you analyze. The SAS code will include the Data Step, the Merge statement, and the FREQ, REPORT, and GPLOT procedures. The author will also present some findings from the data he analyzes. The technique presented is powerful, yet easy to understand and use.


Bibtex:
@inProceedings {, AUTHOR = {Smith, CA}, TITLE = {Detecting anomalies in your data using Benfordís Law}, BOOKTITLE = {Proceedings of SUGI 27}, YEAR = {2002}, ADDRESS = {Orlando, FL}, NOTE = {Paper 249 (Statistics and Data Analysis)}, URL = {http://www2.sas.com/proceedings/sugi27/p249-27.pdf}, }


Reference Type: Conference Paper

Subject Area(s): Accounting