Industry Cluster Explorer
here for a demo of the application.Click
This application is currently under development. Changes and modifications will be added over time. For more detailed documentation on the project, please consult the project Wiki page.
This Shiny web app provides a dashboard for economic researchers to perform industry cluster analysis and derive insights regarding regional economic productivity and competitiveness.
For more information regarding the theory of industry clusters, see:
- Porter, Michael E. "Clusters and the New Economics of Competition." Harvard Business Review 76, no. 6 (November–December 1998): 77–90.
- U.S. Cluster Mapping website
- HBS Institute for Strategy and Competitveness website
Install R packages using function
install.packages(). For example:
Make sure that the file structure on your machine matches the following:
├── industry-cluster-explorer | ├── scripts | | ├── calculated_metrics.R | ├── html | | ├── employ-growth-comp.html | | ├── employ-growth-spec.html | | ├── employ-share-spec.html | | ├── rev-growth-spec.html | ├── data | | ├── topojson | ├── server.R | ├── ui.R └──
Note that the folder
data does not exist on the GitHub repository. Prior to running the application, create the folder
data and populate it with input data to be processed and visualized by the dashboard. Folder
data should contain CSV files with industry cluster data, as well as one CSV file with clusters labeled as "traded" or "local". Folder
data/topojson should contain a separate TopoJSON file for each geographic region that you want to visualize.
Feedback and Collaboration
Please contact Seward Lee at firstname.lastname@example.org for collaboration opportunities.