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R – a Global Sensation in Data Science

Author

Listed:
  • Nicoleta Caragea

    (Ecological University of Bucharest)

  • Antoniade-Ciprian Alexandru

    (Ecological University of Bucharest)

  • Ana Maria Dobre

    (National Institute of Statistics, Romania)

Abstract

The main objective of this paper is to expose the evolution of R, as the most used data analysis tool among statisticians and the academic researchers. Its flexibility and complexity simply gained the statisticians and data scientists. The paper examines some of the reasons behind the popularity of R, using tools like SWOT analysis. R software environment offers integrated tools for a very large area of data analysis, from computations and data mining to high-effects visualization. As an example, we performed in this paper an illustration of 3D plotting.

Suggested Citation

  • Nicoleta Caragea & Antoniade-Ciprian Alexandru & Ana Maria Dobre, 2014. "R – a Global Sensation in Data Science," Romanian Statistical Review, Romanian Statistical Review, vol. 62(2), pages 7-16, June.
    • Handle: RePEc:rsr:journl:v:62:y:2014:i:2:p:7-16
    as

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    File URL: http://www.revistadestatistica.ro/wp-content/uploads/2014/07/RRS_2_2014_a02.pdf
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    References listed on IDEAS

    as
    1. Ligges, Uwe & Maechler, Martin, 2003. "scatterplot3d - An R Package for Visualizing Multivariate Data," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 8(i11).
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    Cited by:

    1. Diana Ioana POPA, 2016. "Influence Factors of the Economic Development Level Across European Countries," Romanian Statistical Review, Romanian Statistical Review, vol. 64(2), pages 3-16, June.

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    More about this item

    Keywords

    3D Plotting; Data Visualization; R Packages; R software; statistics;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

    Statistics

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