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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.
There are 9 citations in total.

Details

Subjects Engineering
Journal Section Letters
Authors

Kerim Goztepe

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

Cite

APA Goztepe, K. (2016). De Facto Language of Data Science: The R Project. Journal of Management and Information Science, 4(4), 104-107. https://doi.org/10.17858/jmisci.288183
AMA Goztepe K. De Facto Language of Data Science: The R Project. JMISCI. December 2016;4(4):104-107. doi:10.17858/jmisci.288183
Chicago Goztepe, Kerim. “De Facto Language of Data Science: The R Project”. Journal of Management and Information Science 4, no. 4 (December 2016): 104-7. https://doi.org/10.17858/jmisci.288183.
EndNote Goztepe K (December 1, 2016) De Facto Language of Data Science: The R Project. Journal of Management and Information Science 4 4 104–107.
IEEE K. Goztepe, “De Facto Language of Data Science: The R Project”, JMISCI, vol. 4, no. 4, pp. 104–107, 2016, doi: 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.
JAMA Goztepe K. De Facto Language of Data Science: The R Project. JMISCI. 2016;4:104–107.
MLA Goztepe, Kerim. “De Facto Language of Data Science: The R Project”. Journal of Management and Information Science, vol. 4, no. 4, 2016, pp. 104-7, doi:10.17858/jmisci.288183.
Vancouver Goztepe K. De Facto Language of Data Science: The R Project. JMISCI. 2016;4(4):104-7.