Reproducibility

A quick guide to developing a reproducible and consistent data science workflow

When you're learning to code and perform data analysis, it can be overwhelming to figure out how to structure your projects. To help data scientists develop a reproducible and consistent workflow, I've put together a short document with some guiding advice.

Rebecca Barter

When you’re learning to code and perform data analysis, it can be overwhelming to figure out how to structure your projects. To help data scientists develop a reproducible and consistent workflow, I’ve put together a short GitHub-based document with some guiding advice: https://github.com/rlbarter/reproducibility-workflow If you’re interested in contributing or improving this document, please get in touch, or even better, submit a pull request (https://github.com/rlbarter/reproducibility-workflow)! The document as of writing is shown below.