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
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DOI - Digital Object Identifier
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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
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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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
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e-ISSN
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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
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