Intro

On this website, we collect analytics of GeoBeer events. We do this for three reasons:

• We hope our findings are of interest to our audience, our presenters, our local partners as well as prospective organisers.
• Our findings help us to keep an eye on certain metrics and we want to use them to strive to make GeoBeer events better events.
• We hope our findings as well as our open-source tools help other organisers to do the same for their event or event series.

While we open our tools and some of our data, we withhold all data that is privacy-sensitive (e.g. any data set containing unaggregated data pertaining to individuals). We do publish data that is non-sensitive, e.g. data aggregated over groups or data representing events.

→ Read more about GeoBeer

Analyses

Check out some of our findings:

→ Look at our analysis of the event locations

→ Look at our analysis of the ticketing process

→ Look at our analysis of the audience gender balance

→ Look at our analysis of the speaker gender balance

If you do similar analyses for your event, please let us know. We’d like to talk.

Tools and data

We open as many of our tools and data sets as possible. Our tools are programmed in R. For code, have a look at the files in github.com/GeoBeer/geobeer-analytics. For data (and figures) that could serve as a benchmark for your own analyses, have a look at the files in github.com/GeoBeer/geobeer-analytics/tree/master/Results.

Let us know if you have questions.

Anne, Stephan, and Ralph