Numeric Evaluation of Selected Statistical Software for Data Analysis and Modelling

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Numeric Evaluation of Selected Statistical Software for Data Analysis and Modelling

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Numeric Evaluation of Selected Statistical Software for Data Analysis and Modelling

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/EE2.3.20.0296" target="_blank" >EE2.3.20.0296: Výzkumný tým pro modelování ekonomických a finančních procesů na VŠB-TU Ostrava</a><br>

Návaznosti

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

Rok uplatnění

2016

Kód důvěrnosti údajů

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

Název statě ve sborníku

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

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e-ISSN

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Počet stran výsledku

12

Strana od-do

293 - 304

Název nakladatele

VŠB - Technical University of Ostrava

Místo vydání

Ostrava

Místo konání akce

Ostrava

Datum konání akce

13. 10. 2016

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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