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

Q3 Decision Sciences Statistical Journal of the IAOS Pub Date : 2023-03-16 DOI:10.3233/sji-220093
Stratos Moschidis, Athanasios C. Thanopoulos, Christina Karamichalakou
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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.
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用R语言开发和托管web数据应用程序,用于官方统计
官方统计特别强调向公民和利益攸关方沟通和传播调查结果。这通常是通过出版新闻稿和提供统计调查的综合数据来完成的。使用允许用户与官方统计结果互动的网络服务和软件,将进一步加强官方统计的沟通、传播、扫盲和整体质量。本文与通过吸引用户来获得更广泛受众的目标和背景有关,并解释了一个没有前端后端编程技术专业知识的NSO(国家统计局)成员如何通过“Shiny”库在R编程环境中创建这样的web服务。本文还回顾了托管“闪亮”应用程序的问题,并介绍了现有的方法。为了演示目的,构建了这样一个应用程序的实验版本,以交互式方式展示希腊统计管理局(ELSTAT)关于希腊商业人口统计的新统计产品的季度结果。
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来源期刊
Statistical Journal of the IAOS
Statistical Journal of the IAOS Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.30
自引率
0.00%
发文量
116
期刊介绍: This is the flagship journal of the International Association for Official Statistics and is expected to be widely circulated and subscribed to by individuals and institutions in all parts of the world. The main aim of the Journal is to support the IAOS mission by publishing articles to promote the understanding and advancement of official statistics and to foster the development of effective and efficient official statistical services on a global basis. Papers are expected to be of wide interest to readers. Such papers may or may not contain strictly original material. All papers are refereed.
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