<scp>grapesDraw</scp> : Bridging Data Visualization for Statistical Education and Research in Agriculture

ABSTRACT Data visualization is pivotal in agricultural research, yet tools like R, Python, and Excel pose significant challenges. R's advanced graphics are offset by a steep learning curve, Python often encounters runtime errors, and Excel lacks robust functionality. To overcome these obstacles, we introduce grapesDraw, an open‐source web application, and R package tailored for agricultural research and education. Built on Shiny, grapesDraw integrates R's ggplot2, corrplot, packcircles, and factoextra packages, offering an intuitive interface that minimizes coding demands. This enables researchers and students to create high‐quality visualizations effortlessly. A survey across state agricultural universities (SAUs) confirmed grapesDraw's usability and effectiveness, particularly among novices. Freely available on shinyapps.io and as an R package on GitHub, with detailed documentation, grapesDraw enhances accessibility and efficiency in agricultural data visualization.