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May-2019
eISSN: 2349-5162
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Journal of Emerging Technologies and Innovative Research ( An International Scholarly Open Access Journal, Peer-reviewed, Refereed, Crossref DOI Journal )
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UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules
ISSN: 2349-5162 | ESTD Year : 2014 Volume 13 | Issue 3 | March 2026
New UGC Peer-Reviewed Rules
ISSN: 2349-5162 | ESTD Year : 2014 Volume 13 | Issue 3 | March 2026
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UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
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Published Paper ID:
JETIRBW06020
Registration ID:
207211
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Title
Correlation Coefficient Analysis of Data using R Programming: Does It Effectives?
Authors
Abstract
This review paper clearly discusses the compression between mathematical regression analysis and R programming output of different research data sets. Its primary purpose is to explain the different regression models using R software whose outputs are sufficiently explanation to reach the conclusion of research variables. Therefore, this paper presents easiest way of data analysis commands and its strengths for data analysis using R programming.
Key Words
Programming Language; Data analytics; R; Python, Big Data; Regression Equation
Cite This Article
"Correlation Coefficient Analysis of Data using R Programming: Does It Effectives?", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.103-109, May-2019, Available :http://www.jetir.org/papers/JETIRBW06020.pdf
ISSN
2349-5162 | Impact Factor 7.95 Calculate by Google Scholar
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Cite This Article
"Correlation Coefficient Analysis of Data using R Programming: Does It Effectives?", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp103-109, May-2019, Available at : http://www.jetir.org/papers/JETIRBW06020.pdf
Publication Details
Published Paper ID: JETIRBW06020
Registration ID: 207211
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier): http://doi.one/10.1729/Journal.23842
Page No: 103-109
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIRBW06020
Published Paper PDF: https://www.jetir.org/papers/JETIRBW06020
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