© 2026 Ayomide Hannah Igbaroola. All rights reserved. This R script accompanies the research article “How Does Affordability Shape Behavioral Intentions of Consumers To Purchase Low Water Footprint Food Products? A Polish experience” and may be used for personal, educational, or non-commercial purposes only.

come l’Occidente ha trasformato una vittoria in un vicolo cieco Author

This presentation introduces a Shiny application that visualizes the Old Faithful geyser waiting time data using an interactive histogram. The app allows users to adjust the number of bins dynamically and demonstrates reactive programming in R.

This project analyzes customer churn within the telecommunications industry using the IBM Telco dataset. We implemented a dual-modeling approach: 1) A classification analysis using Logistic Regression and Random Forest to predict at-risk customers (achieving an AUC of 0.84), and 2) A linear regression audit to deconstruct the pricing drivers of monthly charges (R² ≈ 0.999). The findings provide actionable insights for targeted customer retention and pricing transparency.