Online Labour Index Case Study

The Online Labour Index (OLI) is the first economic indicator that provides an online gig economy equivalent of conventional labour market statistics. It measures the utilization of online labour across countries and occupations by tracking the number of projects and tasks in real time. This case study sought to provide an interactive dashboard for tracking the change in the OLI overtime and broken down by occupation and worker location.

Online jobs in gig economy growing fast, finds the new Online Labour Index - visualised interactively over time, gig sector and worker location.

These visualisations were built using R and Shiny, here's a basic overview of what Shiny is.

This project was started when Prof. Vili Lehdonvirta and Dr. Otto Kässi approached Martin Hadley from the IDN to design and develop a dashboard so that viewers could easily understand the current state of the Online Labour Market, both
from a worker's and employer's point of view.

The visualisation makes use of the following charts:

  • Barcharts - useful for comparison, ranking or displaying the magnitude of data.
  • Timeseries line chart
  • Choropleth

To replicate this interactive visualisation for yourself, refer to the IDN Shiny app template or else fork the actual code for the target="_blank">Online Labour Index dashboard. You an also contact the IDN on

Case Study Details

Department Oxford Internet Institute

Vili Lehdonvirta (

Otto Kässi (

Division Social Sciences
Link(s) to visualisations
Where is visualisation used?

iLabour Project

Guardian Article

Data Source DOI:10.6084/m9.figshare.3761562
Link(s) to code
Developer Martin Hadley (