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http://ir.inflibnet.ac.in/handle/1944/2133
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DC Field | Value | Language |
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dc.contributor.author | Patel, Yatrik | - |
dc.contributor.author | Vaghela, Divyakant | - |
dc.contributor.author | Solanki, Hitesh | - |
dc.contributor.author | Vaidya, Mitisha | en_US |
dc.date.accessioned | 2018-01-04T11:46:18Z | - |
dc.date.available | 2018-01-04T11:46:18Z | - |
dc.date.issued | 2017-04-01 | - |
dc.identifier.issn | 0971-9849 | - |
dc.identifier.uri | http://hdl.handle.net/1944/2133 | - |
dc.description.abstract | The 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.language.iso | en | en_US |
dc.publisher | INFLIBNET Centre, Gandhinagar | en_US |
dc.relation.ispartofseries | 24;1 | - |
dc.subject | Open Source Statistical Package | en_US |
dc.subject | R Language | en_US |
dc.subject | Statistical Analysis | en_US |
dc.subject | SPSS | en_US |
dc.subject | Data Mining | en_US |
dc.subject | Data Visualization | en_US |
dc.title | R: An Open Source Software Environment for Statistical Analysis | en_US |
dc.type | Article | en_US |
Appears in Collections: | INFLIBNET Newsletter's Articles |
Files in This Item:
File | Description | Size | Format | |
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INFLIBNET NEWSLETTER Vol.24 No. 1 (January-March 2017).pdf | 734.01 kB | Adobe PDF | View/Open |
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