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Using R Shiny to develop a dashboard using IPEDS, U.S. Census, and bureau of labor statistics data

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  • Mark A Perkins
  • Jonathan W Carrier

Abstract

This paper describes the development of an RStudio (now known as Posit) dashboard derived from the Integrated Postsecondary Educational Data System, the United States Census Bureau, and the Bureau of Labor Statistics and provides the user with institutional, community, and career information of IPEDS reporting higher education institutions in the United States and its territories. With this dashboard, users can select and learn about institutions, explore enrollment trends and demographics, compare outcomes, and correlate community and institutional variables. Users can also link degrees to career projections and wages. This paper explains how the dashboard was developed with examples of R programming language.

Suggested Citation

  • Mark A Perkins & Jonathan W Carrier, 2023. "Using R Shiny to develop a dashboard using IPEDS, U.S. Census, and bureau of labor statistics data," PLOS ONE, Public Library of Science, vol. 18(1), pages 1-23, January.
    • Handle: RePEc:plo:pone00:0278573
    DOI: 10.1371/journal.pone.0278573
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    References listed on IDEAS

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    1. Gary R. Pike & Kirsten R. Robbins, 2020. "Using Panel Data to Identify the Effects of Institutional Characteristics, Cohort Characteristics, and Institutional Actions on Graduation Rates," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(4), pages 485-509, June.
    2. Manuel S. González Canché, 2017. "The Heterogeneous Non-resident Student Body: Measuring the Effect of Out-Of-State Students’ Home-State Wealth on Tuition and Fee Price Variations," Research in Higher Education, Springer;Association for Institutional Research, vol. 58(2), pages 141-183, March.
    3. Justin C. Ortagus & Lijing Yang, 2018. "An Examination of the Influence of Decreases in State Appropriations on Online Enrollment at Public Universities," Research in Higher Education, Springer;Association for Institutional Research, vol. 59(7), pages 847-865, November.
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