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
- 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.
Details
Primary Language
English
Subjects
Engineering
Journal Section
Letter to Editor
Authors
Publication Date
December 27, 2016
Submission Date
December 7, 2016
Acceptance Date
December 30, 2016
Published in Issue
Year 2016 Volume: 4 Number: 4