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Dergiler / Journal of Management and Information Science / 2016 / Cilt: 4 Sayı: 4

De Facto Language of Data Science: The R Project

Kerim Goztepe
Sayfa
104–107
Yayın Tarihi
2016-12-27
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Before you get bored, I want to talk about the R Project, whose popularity is increasing every year, in this letter.

📌 3 Maddede Bu Makale

🎯
Amaç & Hipotez:This is the last issue of the year 2016.
📊
Temel Bulgular & Veri:Another year has come to an end.
💡
Sonuç & Katkı:Before you get bored, I want to talk about the R Project, whose popularity is increasing every year, in this letter.
🔬Tür:Editöre Mektup
📍Kapsam:2016 Verileri
⚙️Değişkenler:R Project · letter · data science

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.

🔖

Bu Makaleye Atıf Yap

Goztepe, K. (2016). De Facto Language of Data Science: The R Project. Journal of Management and Information Science, Cilt: 4 Sayı: 4, 104–107. https://doi.org/10.17858/jmisci.288183

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Kaynakça (10)

  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.
  9. Venables, W. N., Smith, D. M., & R Development Core Team. (2004), An introduction to R.
  10. Berry, M., & Linoff, G. (1999). Mastering data mining: The art and science of customer relationship management. John Wiley & Sons, Inc.