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De Facto Language of Data Science: The R Project

Year 2016, , 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, , 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

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.