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Manipulation Of Large Databases With "R"

Author

Listed:
  • Ana Maria Dobre

    (National Institute of Statistics)

  • Andreea Gagiu

    (National Institute of Statistics)

Abstract

Nowadays knowledge is power. In the informational era, the ability to manipulate large datasets is essential for making long term strategies. More and more companies and official statistics offices need to use large databases but also by increasing the volume of data it increases the complexity of manipulating it. A basic economy rule is that the supply follows the demand; hereby, much software for manipulating big data was created in order to follow the necessity. The aim of this paper is to underline the performance of R in manipulating large databases. Regarding to this, the paper is primarily intended for people already familiar with common databases and statistical concepts. The paper illustrates as its best how simply R - both open-source and commercial versions – is used to handle large databases manipulation.

Suggested Citation

  • Ana Maria Dobre & Andreea Gagiu, 2013. "Manipulation Of Large Databases With "R"," Working papers 05, Ecological University of Bucharest, Department of Economics.
    • Handle: RePEc:eub:wpaper:2013-05
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    References listed on IDEAS

    as
    1. Caragea, Nicoleta & Alexandru, Ciprian Antoniade & Dobre, Ana Maria, 2012. "Bringing New Opportunities to Develop Statistical Software and Data Analysis Tools in Romania," MPRA Paper 48772, University Library of Munich, Germany.
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    Cited by:

    1. Stefan Cristian Ciucu, 2014. "Statistical Data Analysis via R and PHP: A Case Study Of the Relationship Between GDP and Foreign Direct Investments for the Republic Of Moldova," Romanian Statistical Review, Romanian Statistical Review, vol. 62(2), pages 17-30, June.

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    More about this item

    Keywords

    R statistical software; data manipulation; big data; large databases; statistics;
    All these keywords.

    JEL classification:

    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

    Statistics

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