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Journal Article R 프로그래밍: 통계 계산과 데이터 시각화를 위한 환경
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Authors
이두호, Ye Ren
Issue Date
2013-02
Citation
전자통신동향분석, v.28, no.1, pp.42-51
ISSN
1225-6455
Publisher
한국전자통신연구원 (ETRI)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.22648/ETRI.2013.J.280105
Abstract
The R language is an open source programming language and a software environment for statistical computing and data visualization. The R language is widely used among a lot of statisticians and data scientists to develop statistical software and data analysis. The R language provides a variety of statistical and graphical techniques, including basic descriptive statistics, linear or nonlinear modeling, conventional or advanced statistical tests, time series analysis, clustering, simulation, and others. In this paper, we first introduce the R language and investigate its features as a data analytics tool. As results, we may explore the application possibility of the R language in the field of data analytics.
KSP Keywords
Data Analytics, Data analysis, Data scientists, Descriptive Statistics, Nonlinear Modeling, R Language, Statistical computing, Statistical software, Statistical test, Time Series Analysis(TSA), data visualization