De Facto Language of Data Science: The R Project

Yıl 2016, , 104 - 107, 27.12.2016

Kerim Goztepe

https://doi.org/10.17858/jmisci.288183

Öz

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.

Anahtar Kelimeler

R Project, letter, data science

Kaynakça

• 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.