R Markdown: A Reproducible Workflow

R Markdown: A Reproducible Workflow

Jan 1, 2024·
Noah Weidig
Noah Weidig
· 0 min read
Abstract
This talk covers the fundamentals of using R Markdown to create reproducible workflows that seamlessly integrate code, results, and narrative. It will demonstrate how R Markdown enables efficient documentation and sharing of data analyses by combining R code with formatted text in a single document. Key topics include setting up R Markdown files, organizing content with chunks, generating dynamic reports in various formats, and best practices for maintaining reproducibility and clarity in data science projects.
Type
Publication
University of Florida West Florida Research and Education Center Invited Seminar
pubs
Noah Weidig
Authors
GIS Analyst • Data Scientist
I leverage remote sensing, GIS, and data science to translate complex data into clear insight about how our world changes. I believe understanding patterns through time gives people the power to see beyond the moment and shape a more intentional world.