First time using Corrplot library to show correlations and relationships between columns. # Num only, codes to find correlation btw columns num.cols <-sapply(df, is.numeric) #filter cor.data <- cor(df[,num.cols]) print(cor.data)

Project 1 - Statistics for AI Alberto Dorantes, Ph.D. Tec de Monterrey

MP6-Taller de creación de contenidos RMarkDown y RPubs

The analysis covered customer behavior, order trends, cuisine preferences, vendor performance, and loyalty dynamics for ordering pattern of Indian cities. Key findings show that a small proportion of customers and vendors drive the majority of revenue, ordering patterns are strongly time-dependent, and customer loyalty can be segmented effectively using RFM. These insights enable data-driven decision-making to boost retention, optimize vendor partnerships, and enhance marketing strategies.

Intro to Biostatistics (BIOL 327) August 27, 2025 Fall 2025 William & Mary