Recommended Citation
August 1, 2015.
Abstract
An interactive user interface application was created using the R statistical computing environment and the Shiny package to visualize historical data on the performance of mutual funds and exchange-traded funds (ETFs). Historical data for these funds is scraped from the Yahoo! Finance webpage. The application allows the user to analyze this historical data by category and fund family, which are also scraped from Yahoo! Finance. The application generates interactive plots to compare the performance of selected mutual funds and ETFs given the baseline and center determined by the user. The application has been modified to attentively match the data with current available data found on Yahoo! Finance using the XML and RCurl packages. Additional modifications were constructed to provide the user with more flexibility in making selections of categories and fund families. These changes will allow for improvements in the comparisons of mutual funds and ETFs of the same category. Finally, this application will improve data visualizations in the analysis of atypicalities of mutual funds and exchange-traded funds.
Disciplines
Graphics and Human Computer Interfaces | Other Computer Sciences | Programming Languages and Compilers
Mentor
Brett Amidan
Lab site
Pacific Northwest National Laboratory (PNNL)
Funding Acknowledgement
This material is based upon work supported by the S.D. Bechtel Jr. Foundation and is made possible with contributions from the National Science Foundation under Grant No. 1340110, Howard Hughes Medical Institute, Chevron Corporation, National Marine Sanctuary Foundation, and from the host research center. Any opinions, findings, and conclusions or recommendations expressed in this material are solely those of the authors. The STAR Program is administered by the Cal Poly Center for Excellence in STEM Education on behalf of the California State University system.
Included in
Graphics and Human Computer Interfaces Commons, Other Computer Sciences Commons, Programming Languages and Compilers Commons
URL: https://digitalcommons.calpoly.edu/star/362