Letter to Editor

De Facto Language of Data Science: The R Project

Volume: 4 Number: 4 December 27, 2016
EN

De Facto Language of Data Science: The R Project

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.


Keywords

References

  1. Berry, M., & Linoff, G. (1999). Mastering data mining: The art and science of customer relationship management. John Wiley & Sons, Inc..
  2. Chang, W. (2012), R graphics cookbook. " O'Reilly Media, Inc.".
  3. 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.
  4. Matloff, N. (2009), The art of R programming.
  5. Muenchen, R. A. (2012). The popularity of data analysis software. UR L http://r4stats. com/popularity.
  6. 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.
  7. Paradis, E. (2002), R for Beginners.
  8. Stowell, S. (2014), Using R for statistics. Apress.

Details

Primary Language

English

Subjects

Engineering

Journal Section

Letter to Editor

Publication Date

December 27, 2016

Submission Date

December 7, 2016

Acceptance Date

December 30, 2016

Published in Issue

Year 2016 Volume: 4 Number: 4

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