Enhancing typing efficiency through predictive text suggestions using NLP techniques.

This report provides an overview of the exploratory analysis conducted on the text datasets from blogs, news articles, and Twitter. Key features, summary statistics, and visualizations highlight the structure and patterns within the data. It also outlines the plans for developing a predictive text algorithm using n-gram modeling and a Shiny app for real-time word suggestions. This project serves as a foundational step towards creating an efficient and user-friendly predictive text application.