This report presents an exploratory analysis of the SwiftKey text prediction dataset. The analysis includes data cleaning, word frequency analysis, bigram and trigram exploration, and insights used for developing a predictive text model for the final Shiny application.

This presentation demonstrates the development of a next-word prediction application using R and Shiny. It explains the prediction algorithm, application features, deployment process, and future opportunities for enhancement using advanced n-gram language models.