Exploratory Data Analysis of the SwiftKey English corpus (Blogs, News, and Twitter) for the Text Prediction project. Includes data summaries, word frequency analysis, visualizations, and next steps for predictive modeling and Shiny app development.

This project showcases a Shiny app that predicts the next word in a user-entered phrase using an n-gram language model trained on the en_US corpus. It demonstrates natural language processing techniques and provides an interactive interface for exploring predictive text.

This milestone report demonstrates data loading, exploratory analysis, and initial plans for building a predictive text model and Shiny app.