Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/72587
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dc.contributor.authorGonzález Martel, Cristianen_US
dc.contributor.authorCazorla Artiles, Jose M.en_US
dc.contributor.authorPérez González, Carlos J.en_US
dc.date.accessioned2020-05-19T11:51:15Z-
dc.date.available2020-05-19T11:51:15Z-
dc.date.issued2018en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/72587-
dc.description.abstractThe increasing availability of open data resources provides opportunities for research and data science. It is necessary to develope tools that take advantage of the full potential of new information resources. In this work we developed the package for R istacr that provides a collection of eurostat functions to be able to consult and discard the data that Eurostat, including functions to retrieve, download and manipulate the data set available through the ISTAC BASE API of the Canary Institute of Statistics (ISTAC). In addition, A Shiny app was designed for a responsive visulization of the data. This develope is part of the growing demand for open data and ecosystems dedicated to reproducible research in computational social science and digital humanities. With this interest, this package has been included within rOpenSpain, a project that aims to promote transparent research methods mainly through the use of free software and open data in Spain.en_US
dc.languageengen_US
dc.relation.ispartof2Nd International Conference On Advanced Research Methods And Analytics (Carma 2018)en_US
dc.source2Nd International Conference On Advanced Research Methods And Analytics (Carma 2018), p. 193-200, (2018)en_US
dc.subject5302 Econometríaen_US
dc.subject.otherInformationen_US
dc.subject.otherEconomic Databasesen_US
dc.subject.otherRen_US
dc.subject.otherPackageen_US
dc.subject.otherShinyen_US
dc.subject.otherVisualizationen_US
dc.titleAccess and analysis of ISTAC data through the use of R and Shinyen_US
dc.typeinfo:eu-repo/semantics/conferenceObjecten_US
dc.typeConferenceObjecten_US
dc.relation.conference2nd International Conference on Advanced Research Methods and Analytics (CARMA)en_US
dc.identifier.doi10.4995/CARMA2018.2018.8345en_US
dc.identifier.isi000477974500023-
dc.description.lastpage200en_US
dc.description.firstpage193en_US
dc.investigacionCiencias Sociales y Jurídicasen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid31817381-
dc.contributor.daisngid30868470-
dc.contributor.daisngid32025443-
dc.description.numberofpages8en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Gonzalez-Martel, C-
dc.contributor.wosstandardWOS:Artiles, JMC-
dc.contributor.wosstandardWOS:Perez-Gonzalez, CJ-
dc.date.coverdate2018en_US
dc.identifier.conferenceidevents121163-
dc.identifier.ulpgces
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate12-07-2018-
crisitem.event.eventsenddate13-07-2018-
crisitem.author.deptGIR Finanzas Cuantitativas y Computacionales-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0003-1081-0843-
crisitem.author.parentorgDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.fullNameGonzález Martel, Cristian-
Colección:Actas de congresos
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