Open Government Data and Beer Analytics

Abstract: This talk will feature a deep dive on the state of analysis-ready data from open data portals from the U.S. Government ( and beyond in relation to beer statistics and analytics. This talk will share resources and examples on how to navigate open data portals, collecting & web scrapping data from government websites, and advocating for data in usable formats for data scientists (think csv not pdf). Case studies in this talk will utilize popular R packages such as rvest, dplyr, ggplot2, and ttbbeer; a R data package filled with pre-processed beer statistics data from the U.S. Department of Treasury, developed by the speaker Jasmine Dumas.

Bio: Jasmine Dumas is a Data Scientist at Simple Finance where she is helping people feel confident with their money by making banking beautiful. She has a background in biomedical engineering, aerospace manufacturing, and product design & development. She is an active member of the R programming community with two published packages on the Comprehensive R Archive Network (CRAN) which focuses on increasing access to analysis-ready data (ttbbeer) and developing user-friendly interfaces (shinyLP). She enjoys developing open source tools to enable reproducible research and has contributed by participating in Google Summer of Code (Summer 2015) and NASA Datanauts (Spring 2017).