Channeling Curiosity into R Data Visualization Projects - with Alex Albright

• What we'll do
How can R users learn to visualize data? While there are many incredible courses and resources, nothing is as effective as finding an intriguing question and challenging oneself to create an original visual answer. Generating visualizations can be astonishingly satisfying and can drive deep dives into R workflow, libraries, and community resources. I will present snippets of scripts and notebooks written to visually answer the following questions, running the gamut from quirky and light to serious and weighty: How often do female athletes grace the cover of Sports Illustrated? How have demographics changed in the sciences? How have Pixar movie ratings changed over time? How did US Senators vote on healthcare repeal? Which characters are closest on the TV show ‘Friends’?

Presenter Bio:
Alex Albright is a PhD student in economics at Harvard University. An aspiring labor and behavioral economist, Alex is passionate about making empirical academic work reproducible and accessible. Her usage of R stems from a desire to use tools that are freely available and open source. She is an enthusiastic user of the ggplot2 package for visually communicating her explorations of a wide variety of datasets. She engages with general audiences outside of academia by writing about economics and data-driven questions at her blog, The Little Dataset (https://thelittledataset.com/)

• What to bring

• Important to know