Identifying Industry Clusters in the Scottish Economy with R and Shiny

This is a past event

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Old College, The University of Edinburgh

South Bridge · Edinburgh

How to find us

Usha Kasera Lecture Theatre (entrance to the right via the Old College courtyard)

Location image of event venue

Details

Our first meeting after the break will take place on the 25th of September, from 6.00pm, in the Usha Kasera Lecture Theatre (in Old College: https://www.ed.ac.uk/timetabling-examinations/timetabling/room-bookings/bookable-rooms3/room/0001_01_1.264). As usual, the meeting will be open for all to attend, and newcomers / beginners are very welcome!

Our two speakers this month have collaborated to interactively explore clusters within the Scottish economy. Gordon Bryden (Assistant Statistician at The Office of the Chief Economic Advisor) & Benjamin Hansson (Assistant Statistician within the Scottish Government) will therefore be discussing:

## Identifying Industry Clusters in the Scottish Economy with R and Shiny

> In this talk, we will discuss our latest efforts to visualise the Scottish Economy as a network consisting of clustered groups of related industries using R and Shiny. We will begin with the basics on networks and clustering before moving on to the algorithm and implementation that we chose to analyse the Scottish Economy. We then give an introduction to R Shiny, a package used to create interactive web apps, and show off our network visualisation and editing app. Finally, we will discuss how we can improve this ongoing project and future applications of our networking efforts in analysing the Scottish economy. We have used the `NetworkToolbox` library for the implementation of the main algorithm. The packages `dplyr` and `tidyr` were used for data manipulation, `plotly` and `igraph` are used for visualisations, and of course `Shiny` is used to build a convenient user interface. All data used will be made available for download, and the code will be shared via GitHub.