This presentation introduces a Shiny application developed as part of the Coursera Data Science Capstone Project. The app uses an n-gram language model to predict the next word in a phrase based on user input.

This report presents an exploratory analysis of the SwiftKey text dataset used in the Coursera Data Science Capstone project. It summarizes key statistics from blogs, news, and Twitter data, includes basic visualizations, and outlines the planned approach for building a text prediction model and Shiny application.

This presentation is a reproducible pitch for a Shiny application that explores the relationship between automobile characteristics and miles per gallon (MPG) using the mtcars dataset. The application allows users to interactively analyze MPG through reactive visualizations and regression models. This project was developed as part of the Developing Data Products course.

An R Markdown ioslides presentation featuring an interactive Plotly visualization of cereal ratings.

Interactive Leaflet map of global meteorite landings created using R Markdown.