This comprehensive documentation explains the Student Housing Cost Predictor project, detailing the pricing model components, cost calculations with real examples, technology used, and practical usage instructions. It serves as a complete guide to understanding how the app works and its potential applications for student housing decisions.

Exploring World Cities with Leaflet" is an interactive web mapping project that displays five major global cities (Mumbai, London, New York City, Tokyo, and Paris) on a clickable Leaflet map, built using R Markdown. It features an automatically updating date, professional formatting, and city descriptions, demonstrating how to combine data visualization with storytelling to create a publishable, shareable webpage.

This interactive web presentation explores key relationships between automotive performance metrics using R Markdown and Plotly. Through dynamic visualizations, discover how horsepower impacts fuel efficiency, how cylinder count affects MPG, and the distribution of vehicle weights. With fully interactive plots that allow zooming, panning, and hovering for detailed insights, this project demonstrates modern data visualization techniques for communicating complex automotive data in an engaging and accessible way.