This article presents a Shiny-based application developed for the analysis of sensory data obtained through Quantitative Descriptive Analysis (QDA). It integrates statistical tools such as PCA, ANOVA, reproducibility graphs, and preference mapping into an intuitive interface designed to support researchers, students, and practitioners working in sensory science. A case study with yogurt samples illustrates the full workflow.

Jour 4 de l'apprentissage de R par la pratique.

Learning: Sankey Diagram - Interpretation of Layoffs from Top software/MNC companies

Implement an R function to generate a line graph depicting the trend of a time series dataset with separate lines for each group,utilizing ggplot2’s group aesthetic.(trend analysis)