The little package that could: Taking visualizations to the next level with the scales package

Precise axes, proper data transformation, and informative visual data mappings are critical components to any polished visualization.

The little package that could: Taking visualizations to the next level with the scales package

January 31, 2020

Precise axes, proper data transformation, and informative visual data mappings are critical components to any polished visualization. The scales package, the unsung hero behind ggplot2’s scale_* infrastructure, includes functions to help any R user manipulate and polish their visualizations. In this presentation, we will explore the functionality of this small but mighty package: demonstrating its functions for polishing guides, e.g. breaks and labels, managing data transformations, and for mapping aesthetic palettes to data.


About the speaker

Dana is a data scientist at Plenty Unlimited - a start up in South San Francisco committed to growing the freshest possible greens for healthier plants, people, and planet. In 2018, she interned with the tidyverse team, working on scales and ggplot2 packages. She is an author of the scales package and continues to develop and maintain tools both at work and as a part of the broader open source community.