Data for Differentiation of nephelium lappaceum producers in Honduras: perspectives for the inclusive rural bioeconomy

The Data methodology applied multivariate statistical techniques to primary data collected from 314 producers. Principal Component Analysis (PCA) was used to reduce dimensionality, followed by K-means clustering to define the typologies. Kruskal-Wallis tests were applied to validate the significant socioeconomic and organizational differences among the identified clusters.