Dear SPDC, we are slowly transitioning from Meetup to our new nvite Data Community DC page (https://i.nvite.com/communities/datacommunitydc). To see event location details and RSVP, please navigate to: https://nvite.com/DataDC/c2c4
GGplot (http://docs.ggplot2.org/current/#) is a very popular visualization package in R. Join us to hear Peter Fontana (https://www.linkedin.com/in/petercfontana/)give us some background and tips/tricks to make your ggplot charts better.
6:30 - 7:00 food, drinks, meet people
7:00 - 7:15 Intros and announcements
7:15 - 8:30ish Presentation, Q&A
Off to data drinks
We will start by reviewing some of the basics of ggplot2 (http://ggplot2.org/). After highlighting the basics, we will explore some of the more detailed nuances of ggplot2. Such nuances include custom themes, custom legends, reordering items, multi-layer plots, and transformational scaling; these are details that convert an exploratory plot into a presentation-quality or publication-quality one. After discussing some of these customizations, we will end by plotting ggplot2 renditions of a few visualizations from research papers. During this talk, we hope to show novices the power and flexibility of ggplot2 as well as spark thoughtful ideas for the more advanced ggplot2 users.
Peter Fontana is currently a Computer Scientist at NIST (National Institute of Standards and Technology) where he works on Data Science projects. Prior to his work as a Data Scientist, Peter obtained his B.S.E. in Computer Science Engineering (with a Mathematics Minor) from the University of Pennsylvania, and obtained an M.S. and Ph.D. in Computer Science at the University of Maryland, College Park. Peter has used ggplot2 for data analysis and visualizations throughout his career. An example of such a use: during his time as a graduate student, he applied data analytics to learn more about listening, and collaborating with the Communication Department at the University of Maryland, published a paper in the International Journal of Listening.