Developing R Shiny Web Applications for Extension Education

Matthew S. Elliott and Lisa M. Elliott

Applied Economics Teaching Resources (AETR), 2020, vol. 2, issue 4

Abstract: The agriculture sector has entered a new era wherein every stage of the supply chain involves gathering an increasing amount of data. Most of these data are generated in real-time and require rapid analysis that can support optimal decision making for agribusinesses to remain competitive. Consequently, extension audiences are demanding more sophisticated, rapid analysis to aid their decision making using the data they have at their disposal. This paper discusses using R Shiny web applications to meet the new demand.

Keywords: Teaching/Communication/Extension/Profession (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:ags:aaeatr:307146

DOI: 10.22004/ag.econ.307146

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