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Numeric Evaluation of Selected Statistical Software for Data Analysis and Modelling

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F16%3A86099892" target="_blank" >RIV/61989100:27510/16:86099892 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Numeric Evaluation of Selected Statistical Software for Data Analysis and Modelling

  • Original language description

    This article presents way of evaluating for advanced analytics software. Such software is also referred to as statistical software, tools for data science, statistical analysis, machine learning, artificial intelligence, predictive analytics, business analytics, and is also a subset of business intelligence. The paper deals with seven most used statistical software used today in commercial as well as academic area; we have chosen seven statistical programs for our comparative analysis - Eviews, gretl, R, IBM SPSS, STATA, Statgraphic and Statistica. After discussing the main features of these software, we suggest methodology for evaluating this software. The methodology include evaluation on base of functionality and evaluation on base of other features such as price, environment, extension ability and operating system support. The final ranking is counted according to the formula we suggest in the paper. On base of our comparative analysis the R software outperformed all other statistical programs. Finally, we discuss the software selection for various user groups.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/EE2.3.20.0296" target="_blank" >EE2.3.20.0296: Research team for modelling of economic and financial processes at VSB-TU Ostrava</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Information Technology for Practice 2016 : Selected Papers of the 19th International Conference : October 13-14, 2016, Ostrava, Czech Republic

  • ISBN

    978-80-248-3970-7

  • ISSN

  • e-ISSN

  • Number of pages

    12

  • Pages from-to

    293 - 304

  • Publisher name

    VŠB - Technical University of Ostrava

  • Place of publication

    Ostrava

  • Event location

    Ostrava

  • Event date

    Oct 13, 2016

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article