Recommended Citation
August 1, 2019.
Abstract
As technology continues to develop, scientists are gathering data at an accelerated pace. Yet in order for this data to be useful, scientists need to be able to make sense of these large quantities of data, glean crucial information, and highlight essential details. Therefore, it has become increasingly important to explore different avenues for displaying data, in order to successfully extend this information to the broader community. The goal of this project was to experiment with and evaluate the visualization capabilities of R. More specifically, to determine how the Shiny package within R can be used to create interactive visuals to express complex results. Additionally, the Plotly package allowed for the creation of interactive graphs in which the user can isolate variables to view desired information. Finally, the Shiny Dashboard package was critical in the organization of a user-friendly platform containing data in various formats. All of this information can now be applied to other projects in order to efficiently and effectively communicate the results to sponsors, policy makers, the next generation of scientists, and the broader community.
Mentor
Romarie Morales Rosado
Lab site
Pacific Northwest National Laboratory (PNNL)
Funding Acknowledgement
The 2019 STEM Teacher and Researcher Program and this project have been made possible through support from Chevron (www.chevron.com), the National Science Foundation through the Robert Noyce Program under Grant #1836335 and 1340110, the California State University Office of the Chancellor, and California Polytechnic State University in partnership with Pacific Northwest National Laboratory. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the funders.
URL: https://digitalcommons.calpoly.edu/star/587