A start-to-finish analysis of Usenet text data. The Usenet data consists of a set of 20,000 messages sent to 20 Usenet bulletin boards in 1993. In this analysis, you will discover the most important words within each newsgroup, which newsgroups tended to use positive emotional words, which words belonged to each topic, and which words were used most often. This analysis was inspired by a case study on Usenet text in Julia Silge and David Robinson book, "Text Mining with R." I hope you enjoy the analysis and thanks for checking it out!

A simple EDA of H1B Visa Data from the years 2015 and 2016. Prior to performing my analysis, I web scraped H1B Visa data from http://h1bdata.info/.