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Developing and hosting web data apps in R programming for official statistics.

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Title: Developing and hosting web data apps in R programming for official statistics.
Authors: Moschidis, Stratos1 (AUTHOR) smos@statistics.gr, Thanopoulos, Athanasios C.1 (AUTHOR), Karamichalakou, Christina1 (AUTHOR)
Source: Statistical Journal of the IAOS. 2023, Vol. 39 Issue 2, p501-511. 11p.
Subjects: Web-based user interfaces, Web hosting, Web services, Statistics, Offices, Citizens
Abstract: Official statistics place particular emphasis on communication and dissemination of surveys' results to citizens and stakeholders. This is typically done through the publication of press releases and presentation of aggregated data of statistical surveys. The use of web services and software that allow users to interact with the results of official statistics comes to further enhance communication, dissemination, literacy and overall quality of official statistics. This paper is related to the objectives and context of reaching a wider audience through engaging users and explains how an NSO (National Statistical Office) member without specialized knowledge of frontend-backend programming techniques can create such web services in R programming environment through "Shiny" library. The paper also reviews the issue of hosting "Shiny" apps and presents existing approaches. For demonstration purposes, an experimental version of such an application was constructed that presents in an interactive way the quarterly results of the new statistical product of the Hellenic Statistical Authority (ELSTAT) on Greek business demography. [ABSTRACT FROM AUTHOR]
Copyright of Statistical Journal of the IAOS is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
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PubType: Academic Journal
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  Data: Developing and hosting web data apps in R programming for official statistics.
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  Data: <searchLink fieldCode="AR" term="%22Moschidis%2C+Stratos%22">Moschidis, Stratos</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> smos@statistics.gr</i><br /><searchLink fieldCode="AR" term="%22Thanopoulos%2C+Athanasios+C%2E%22">Thanopoulos, Athanasios C.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Karamichalakou%2C+Christina%22">Karamichalakou, Christina</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Statistical+Journal+of+the+IAOS%22">Statistical Journal of the IAOS</searchLink>. 2023, Vol. 39 Issue 2, p501-511. 11p.
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  Data: <searchLink fieldCode="DE" term="%22Web-based+user+interfaces%22">Web-based user interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22Web+hosting%22">Web hosting</searchLink><br /><searchLink fieldCode="DE" term="%22Web+services%22">Web services</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Offices%22">Offices</searchLink><br /><searchLink fieldCode="DE" term="%22Citizens%22">Citizens</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Official statistics place particular emphasis on communication and dissemination of surveys' results to citizens and stakeholders. This is typically done through the publication of press releases and presentation of aggregated data of statistical surveys. The use of web services and software that allow users to interact with the results of official statistics comes to further enhance communication, dissemination, literacy and overall quality of official statistics. This paper is related to the objectives and context of reaching a wider audience through engaging users and explains how an NSO (National Statistical Office) member without specialized knowledge of frontend-backend programming techniques can create such web services in R programming environment through "Shiny" library. The paper also reviews the issue of hosting "Shiny" apps and presents existing approaches. For demonstration purposes, an experimental version of such an application was constructed that presents in an interactive way the quarterly results of the new statistical product of the Hellenic Statistical Authority (ELSTAT) on Greek business demography. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Statistical Journal of the IAOS is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=164680175
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3233/SJI-220093
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      – Code: eng
        Text: English
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        PageCount: 11
        StartPage: 501
    Subjects:
      – SubjectFull: Web-based user interfaces
        Type: general
      – SubjectFull: Web hosting
        Type: general
      – SubjectFull: Web services
        Type: general
      – SubjectFull: Statistics
        Type: general
      – SubjectFull: Offices
        Type: general
      – SubjectFull: Citizens
        Type: general
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      – TitleFull: Developing and hosting web data apps in R programming for official statistics.
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            NameFull: Thanopoulos, Athanasios C.
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            NameFull: Karamichalakou, Christina
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            – D: 01
              M: 04
              Text: 2023
              Type: published
              Y: 2023
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            – TitleFull: Statistical Journal of the IAOS
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