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De Facto Language of Data Science: The R Project

Year 2016, Volume 4, Issue 4, 104 - 107, 27.12.2016
https://doi.org/10.17858/jmisci.288183

Abstract

This is the last issue of the year 2016. Another year has come to an end. I want to confess that this year has not been as successful as we expected.I always support science for humanity and environment. Besides, I dream the world to be a more livable place. But my dreams may be another topic for another paper. Before you get bored, I want to talk about the R Project, whose popularity is increasing every year, in this letter.


References

  • Berry, M., & Linoff, G. (1999). Mastering data mining: The art and science of customer relationship management. John Wiley & Sons, Inc..
  • Chang, W. (2012), R graphics cookbook. " O'Reilly Media, Inc.".
  • Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS quarterly, 36(4), 1165-1188.
  • Matloff, N. (2009), The art of R programming.
  • Muenchen, R. A. (2012). The popularity of data analysis software. UR L http://r4stats. com/popularity.
  • Lumley, T., Diehr, P., Emerson, S., & Chen, L. (2002). The importance of the normality assumption in large public health data sets. Annual review of public health, 23(1), 151-169.
  • Paradis, E. (2002), R for Beginners.
  • Stowell, S. (2014), Using R for statistics. Apress.
  • Venables, W. N., Smith, D. M., & R Development Core Team. (2004), An introduction to R.

Year 2016, Volume 4, Issue 4, 104 - 107, 27.12.2016
https://doi.org/10.17858/jmisci.288183

Abstract

References

  • Berry, M., & Linoff, G. (1999). Mastering data mining: The art and science of customer relationship management. John Wiley & Sons, Inc..
  • Chang, W. (2012), R graphics cookbook. " O'Reilly Media, Inc.".
  • Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS quarterly, 36(4), 1165-1188.
  • Matloff, N. (2009), The art of R programming.
  • Muenchen, R. A. (2012). The popularity of data analysis software. UR L http://r4stats. com/popularity.
  • Lumley, T., Diehr, P., Emerson, S., & Chen, L. (2002). The importance of the normality assumption in large public health data sets. Annual review of public health, 23(1), 151-169.
  • Paradis, E. (2002), R for Beginners.
  • Stowell, S. (2014), Using R for statistics. Apress.
  • Venables, W. N., Smith, D. M., & R Development Core Team. (2004), An introduction to R.

Details

Subjects Engineering
Journal Section Letters
Authors

Kerim GOZTEPE>

Publication Date December 27, 2016
Published in Issue Year 2016, Volume 4, Issue 4

Cite

Bibtex @letter to editor { jmisci288183, journal = {Journal of Management and Information Science}, eissn = {2667-4483}, address = {}, publisher = {Sakarya University}, year = {2016}, volume = {4}, number = {4}, pages = {104 - 107}, doi = {10.17858/jmisci.288183}, title = {De Facto Language of Data Science: The R Project}, key = {cite}, author = {Goztepe, Kerim} }
APA Goztepe, K. (2016). De Facto Language of Data Science: The R Project . Journal of Management and Information Science , 4 (4) , 104-107 . DOI: 10.17858/jmisci.288183
MLA Goztepe, K. "De Facto Language of Data Science: The R Project" . Journal of Management and Information Science 4 (2016 ): 104-107 <https://dergipark.org.tr/en/pub/jmisci/issue/18985/288183>
Chicago Goztepe, K. "De Facto Language of Data Science: The R Project". Journal of Management and Information Science 4 (2016 ): 104-107
RIS TY - JOUR T1 - De Facto Language of Data Science: The R Project AU - KerimGoztepe Y1 - 2016 PY - 2016 N1 - doi: 10.17858/jmisci.288183 DO - 10.17858/jmisci.288183 T2 - Journal of Management and Information Science JF - Journal JO - JOR SP - 104 EP - 107 VL - 4 IS - 4 SN - -2667-4483 M3 - doi: 10.17858/jmisci.288183 UR - https://doi.org/10.17858/jmisci.288183 Y2 - 2016 ER -
EndNote %0 Journal of Management and Information Science De Facto Language of Data Science: The R Project %A Kerim Goztepe %T De Facto Language of Data Science: The R Project %D 2016 %J Journal of Management and Information Science %P -2667-4483 %V 4 %N 4 %R doi: 10.17858/jmisci.288183 %U 10.17858/jmisci.288183
ISNAD Goztepe, Kerim . "De Facto Language of Data Science: The R Project". Journal of Management and Information Science 4 / 4 (December 2016): 104-107 . https://doi.org/10.17858/jmisci.288183
AMA Goztepe K. De Facto Language of Data Science: The R Project. JMISCI. 2016; 4(4): 104-107.
Vancouver Goztepe K. De Facto Language of Data Science: The R Project. Journal of Management and Information Science. 2016; 4(4): 104-107.
IEEE K. Goztepe , "De Facto Language of Data Science: The R Project", Journal of Management and Information Science, vol. 4, no. 4, pp. 104-107, Dec. 2016, doi:10.17858/jmisci.288183