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A Comparative Study of SAS, R, and Python in Business Intelligence

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dc.contributor.author Banerjee, Soumita
dc.contributor.author Mowerman, Illya
dc.date.accessioned 2017-04-05T17:46:26Z
dc.date.available 2017-04-05T17:46:26Z
dc.date.issued 2017-03-24
dc.identifier.uri https://scholarworks.bridgeport.edu/xmlui/handle/123456789/1893
dc.description.abstract In recent years, SAS, R, and Python are the three predominant analytical tools which are being used in small, medium, and large scale industries. SAS, R, and Python are not the only BI tools, but they are most popular programming languages that are used in BI. This study aims to analyze the market share of these three tools and their roles in Business Intelligence. en_US
dc.language.iso en_US en_US
dc.subject Business intelligence en_US
dc.subject Programming language en_US
dc.subject Python en_US
dc.subject R en_US
dc.subject Statistical analysis system (SAS) en_US
dc.title A Comparative Study of SAS, R, and Python in Business Intelligence en_US
dc.type Presentation en_US
dc.institute.department School of Engineering en_US
dc.institute.name University of Bridgeport en_US
dc.event.location Bridgeport, CT en_US
dc.event.name Faculty Research Day en_US

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