020: Visualization at Your Fingertips: A Suite of Applications

For most statisticians, creating high quality graphs is both a frequent part of the job and a time-consuming task. Loading the data into R, cleaning it, adding titles and legend labels, color, ensuring quality, and going back and forth with the investigator is a labor-intensive process. We developed a suite of online data visualization applications using R to aid in our consultations with researchers and increase efficiency. These apps feature simple upload capabilities, easy title and label creation, customizable formats and saving options, and most importantly zero programming. That means these apps are useful for the statistician, but can also be easily used for data visualizations by individuals with no statistical background.

This poster will highlight 3 of our visualization apps. For survival data, we have the Kaplan-Meier app; to visualize individual evets over time you can use our swimmer plot; finally for changes in value over time, we have the waterfall and spaghetti plots. The poster will include scannable QR codes so that attendees can load and play with the apps live. While these apps were designed for cancer clinical trials, they can be used with any type of data that lends itself to one of the plots we have. We put a lot of effort into making these apps which create user friendly customizable publication-quality graphs. Our team of statisticians regularly use these applications to save time and improve communication with investigators and they can be used in the setting of statistical consulting.

Visualization

R Programming

Graphs

Data

Applications

Clinical Trials 

Implementation and Analysis

Conference on Statistical Practice (CSP) 2023