CBMIWU/demo-dashboard

Name: demo-dashboard

Owner: Center for Biomedical Informatics at Washington University in St. Louis

Description: Repository for demo dashboard, developed by Center for Biomedical Informatics at Washington University in St. Louis. The demo dashboard uses data inspired by Harry Potter series.

Created: 2014-09-23 19:07:08.0

Updated: 2015-01-29 14:32:48.0

Pushed: 2015-01-29 14:32:47.0

Homepage: null

Size: 236

Language: R

GitHub Committers

UserMost Recent Commit# Commits
Suhas Khot2014-09-25 17:25:58.02
CBMI2015-01-29 14:32:46.06

Other Committers

UserEmailMost Recent Commit# Commits

README

Demo Dashboard

Executive Producer: Leslie McIntosh

Developer: Connie Zabarovskaya

Project Manager: Mary Uhlmansiek

Center for Biomedical Informatics Washington University in St. Louis

This repository contains the R code for the demonstration dashboard, which was designed by the Center for Biomedical Informatics at Washington University in St. Louis, using R programming language, and R packages: Shiny, rCharts and some others.

The dashboard is open for public viewing at this link: https://cbmiwustl.shinyapps.io/demo-dashboard/

Browser and Screen Recommendations

This dashboard is fully compatible with Mozilla Firefox and Chrome browsers on a Windows machine, and Mozilla Firefox, Chrome, and Safari on a Mac machine. Optimal resolution is 1440x900 (but will display ok on others). Please expand the browser window for proper viewing of the dashboard.

NOTE: There is slight difference in how the code will be displayed on shinyapps.io and on your local machine/Shiny Server, which is explained by platform differences. Please read the comments in the code to find out more.

Funding

Funding for this project was provided by the Washington University Institute of Clinical and Translational Sciences grant UL1TR000448 from the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH). The content is solely the responsibility of the authors and does not necessarily represent the official view of the NIH. The project was also supported by funding from Alvin J. Siteman Cancer Center, Grant # P30CA091842. All authors from Washington University School of Medicine declare no competing interests related to this work.


This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.