Using the R Language to Manage and Show Statistical Information in the Cloud

We present a methodology to enable users to interact with the statistical information (survey data) of a public opinion institute which is stored in Cloud infrastructure. Mainly using R, this approach was developed following the open-data philosophy. Also, as we used R, the implementation is mainly...

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Vydáno v:Technologies (Basel) Ročník 6; číslo 4; s. 113
Hlavní autoři: Fonseca i Casas, Pau, Tormos, Raül
Médium: Journal Article Publikace
Jazyk:angličtina
Vydáno: Basel MDPI AG 01.12.2018
Multidisciplinary Digital Publishing Institute (MDPI)
Témata:
62 Statistics
62H Multivariate analysis
68 Computer science
68U Computing methodologies and applications
94 Information And Communication, Circuits
94C Circuits, networks
Access to information
Anàlisi multivariable
Anàlisi multivariant
API
Classificació AMS
Codificació, Teoria de la
Coding theory
Computing Methodologies
Data management
Datasets
DSS
Estadística matemàtica
Informàtica
Infrastructure
Language
Matemàtica aplicada a les ciències
Matemàtiques i estadística
Multivariate analysis
Open data
Public opinion surveys
Software
Source code
statistics
web service
Àrees temàtiques de la UPC
ISSN:2227-7080, 2227-7080
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Popis
Shrnutí:We present a methodology to enable users to interact with the statistical information (survey data) of a public opinion institute which is stored in Cloud infrastructure. Mainly using R, this approach was developed following the open-data philosophy. Also, as we used R, the implementation is mainly based on open-source software. R has several advantages from the point of view of data management and acquisition, as it is becoming a common framework that can be used to structure the processes involved in any statistical operation. It further simplifies the access to data and enables the use of all the power of R in Cloud infrastructure. This methodology was applied successfully to develop a tool to manage the data of the Centre d’Estudis d’Opinió, but it can be applied to other institutions to enable open access to their data. The infrastructure was also deployed to Cloud infrastructure to assure its scalability and 24/7 access.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 14
ISSN:2227-7080
2227-7080
DOI:10.3390/technologies6040113