This is the milestone report for week 2 of the Johns Hopkins University on Coursera Data Science Capstone project. The overall goal of the Capstone project is to build a predictive text model using Natural Language Processing (NLM) along with a predictive text application that will determine the most likely next word when a user inputs a word or a phrase. The purpose of this milestone report is to demonstrate how the data was downloaded, imported into R, and cleaned. This report also contains an exploratory analysis of the data including summary statistics about the three separate data sets (blogs, news and tweets), graphics that illustrate features of the data, interesting findings discovered along the way, and an outline of the next steps that will be taken toward building the predictive application.