Data Visualization in Applied Economics Instruction and Outreach
Jared Hutchins and
Andrew J. Van Leuven
Applied Economics Teaching Resources (AETR), 2025, vol. 7, issue 5
Abstract:
This article highlights the critical role of data visualization in applied economics education and outreach. We first outline some general principles for teaching graph literacy and data visualization principles in and out of the classroom. We then discuss the mechanics of visualizing data—collection, preparation, and visualization—with an emphasis on how instructors can teach each step using the R and/or Python statistical environments. We ultimately contend that the requisite skills for successful data visualization are indispensable for students trained in today’s agricultural and applied economics programs to communicate their research effectively.
Keywords: Teaching/Communication/Extension/Profession (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/384745/files/AETR_2025_0237%20Full.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:aaeatr:384745
Access Statistics for this article
More articles in Applied Economics Teaching Resources (AETR) from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().