WOMBAT 2025
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Tidy analysis of preferential votes with prefio

Preferential datasets, often structured as rankings across multiple columns or rows, can be cumbersome to work with. The prefio R package will be introduced, demonstrating a tidy method for managing preferences and providing convenient operations for manipulating preferential data, and an interactive component will also be included.
Published

September 30, 2025

Tidy analysis of preferential votes with prefio

September 30, 01:00 pm

Preferential datasets usually represent rankings for an individual voter across multiple columns or rows in a rectangular format. This can make working with these datasets cumbersome and unintuitive.

This talk will introduce prefio, an R package that lets you work with preferences in a tidy way without spanning multiple rows or columns, while providing convenient operations for manipulating preferential data.

There will be an interactive component to the talk, so get ready to cast some votes!

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Floyd Everest

Floyd Everest is a PhD candidate in the Department of Econometrics and Business Statistics at Monash. His research focuses on auditing instant-runoff voting elections. This led him to develop the R package ‘prefio’ for intuitive data manipulation when working with preferential voting datasets.

Workshop Organised by the Monash Business Analytics Team