Introduction

Data visualization is an important aspect the work we do at BioLizard. To ensure that we follow best practices as much as possible, we initiated the “nature-grade visualization” innovation project. One of the goals of this project to develop R and Python packages to add a consistent visual style to our figures. Some prime candidates are ggplot2, matplotlib, and seaborn). This repository acts as a “pre-production” playground to work on this development.

For a list of guidelines and best practices that everyone within BioLizard should adhere to, please refer to this Notion document. Turn to this one for a more in depth discussion about some of the data visualization do’s and don’ts.

Packages in This Repository

This repository contains two key packages:

1. BioLizardStyleR - An R package designed for ggplot2.
2. BioLizardStylePython - A Python package designed for matplotlib, also compatible with seaborn.

Developed by Robbe Neirynck during an internship at BioLizard, under the supervision of Alexander Koch. Development was continued by Anikó Meijer.

Contributing and Feedback

Contributions and feedback are very welcome and much appreciated.

To report issues or provide feedback, you can:

• Open an issue on GitHub

• Contact us via the following channels:

  • Project Supervisor: alexander.koch@lizard.bio
  • Slack: there is a (private) #nature-grade-visualisations channel. Let Alexander know if you’d like to be added!