# A REDCap-to-R Pipeline for Interactive Body Map Visualizations in Cutaneous Oncology

Photo by Dariusz Sankowski on Unsplash

OVERVIEW

• Optimal Data Visualizations of patient-level data can facilitate data analysis and hypothesis generation
• Real World Data Collection efforts with an Electronic Data Capture (EDC) system like REDCap can be enhanced with well-designed pipelines using advanced data analytical software such as R
• The objective of this post is to generate an interactive data visualization of positional data, e.g. skin cancer lesions on a body map, that is captured in REDCap and processed in R
• In this post, we demonstrate, step-by-step, the pipeline to make the following Body Map Interactive

• Of note, all clinical data is simulated. Any relation to actual patients is purely coincidental
• If you have not used the above hyperlink, please click here to be taken to the html document that will walk you step-by-step through our pipeline
##### David Michael Miller
###### Medical Oncologist and Dermatologist

My research interests include clinical and translational research in advanced skin cancers.