Washing Your Worries Away in PowerWash Simulator

[Meghansaha]

Plot

Authors

Meghan S. Harris

Links

Github, Bluesky, Mastodon, LinkedIn

Full description

Personal Background

This was my first time making a fully fleshed out visual in plotnine and Python. I am a native R user who knows my way around ggplot so thought it wouldn't be too bad. The hardest thing about this process for me was wrapping my head around Python's syntax. I was pleasantly surprised with how "at-home" I felt in plotnine in comparison to ggplot. I took some creative liberties by using watermark() in ways that it probably wasn't intended to as I had creative visions that plotnine wasn't letting me do 😅. If anything, I'd hope my code (as inefficient as it may be) may help spark ideas for others regarding improving or hacking plotnine in the future.

Plot Description

This visual shows averaged Power Wash Simulator player experiences by age group. Blue percentages represent average game level progression, and green percentages represent self-reported well-being (N = 5,181). Research conducted by Tilburg University's School of Social and Behavioral Sciences using a research edition of Power Wash Simulator, a calming first-person powerwashing game.

More Information

• This visual was inspired by the preprint paper An intensive longitudinal dataset of in-game player behaviour and well-being in PowerWash Simulator by Vuorre et al.

• The data and code that was used for this study is avaiable on GitHub here.

Code repository

https://github.com/Meghansaha/plotnine_powerwash/blob/main/scripts/process.py