Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorPatel, Yatrik-
dc.contributor.authorVaghela, Divyakant-
dc.contributor.authorSolanki, Hitesh-
dc.contributor.authorVaidya, Mitishaen_US
dc.description.abstractThe research data and its efficient analysis play a vital role in successful research as well as in drawing meaningful inferences. Students, scholars, research institutes, Government and non-Government organizations around the World depend heavily on statistical and data analysis to carry out their research as well for taking decisions based on statistical analysis of data. Statistics plays a vital role in almost all domains of knowledge. This article provides an overview of various comprehensive, proprietary and non-proprietary statistical packages that are available in the market place for carrying out statistical analyses on data such as SPSS, Stata, Minitab, SAS, etc. The article especially focuses on non-proprietary and open source statistical package called R, which is widely used in all research domains for statistical analysis, data mining and data visualization across the world.en_US
dc.publisherINFLIBNET Centre, Gandhinagaren_US
dc.subjectOpen Source Statistical Packageen_US
dc.subjectR Languageen_US
dc.subjectStatistical Analysisen_US
dc.subjectData Miningen_US
dc.subjectData Visualizationen_US
dc.titleR: An Open Source Software Environment for Statistical Analysisen_US
Appears in Collections:INFLIBNET Newsletter's Articles

Files in This Item:
File Description SizeFormat 
INFLIBNET NEWSLETTER Vol.24 No. 1 (January-March 2017).pdf734.01 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.