This project demonstrates an interactive Shiny web application that predicts Miles Per Gallon (MPG) of a car using the classic mtcars dataset. Users can input Horsepower, Weight, and Number of Cylinders, and the app provides a real-time MPG prediction using a linear regression model.

TextPredictor is a Shiny web app that predicts the next word in a user-entered phrase using unigram, bigram, and trigram frequency tables with a backoff strategy. The system is fast, lightweight, and demonstrates practical applications of R, Shiny, and NLP for text prediction. A 5-slide RPubs presentation explains the model, data, and app functionality.

This presentation demonstrates how interactive graphics can be created in R using the Plotly package. It includes a dynamically generated Plotly chart and the creation date, and it is published as part of a hands-on exercise in building R Markdown presentations. The page showcases how R Markdown, HTML widgets, and Plotly work together to produce responsive, browser-friendly visualizations.

This webpage demonstrates an interactive map created using R Markdown and the Leaflet library. The map is rendered directly in the browser and highlights a sample geographic location. This page was generated as part of an assignment on reproducible research and interactive data visualization.