In this report I describe how to load, pre-process and explore a dataset of text documents using the tm package in the R programming language. The final objective of this project is to use these documents as training for a text predicting model. After removing frequent words, numbers and punctuation, I calculate the frequency of single words and pairs of words (two-grams) in the documents.

Presentation of a Shiny app which allows you to explore ice breakup data for an Alaskan river. This app was developed for the Coursera Developing Data Products course.

Coursera Reproducible Research, Peer Assessment 2