Exploring the tidyverse in R *pre-registered attendees only
Skill level: Intermediate
Learn how to use the tidyverse, a collection of R packages will help you make your data journalism more efficient, stronger and fun. Learn how to import, clean, analyze and plot data for your stories. If you've used packages like dplyr, tidyr, readr, ggplot2, tibble and purr, or would like to learn more about how these work together, this class is for you.
Preregistration is required and seating is limited. Laptops will be provided for the training.
Workshop prerequisites: You should be comfortable working with R and RStudio. You should also be familiar with basic data analysis.
NOTE: Registration is required for this session. Click here to sign up.
Aaron Kessler specializes in investigative reporting and data analysis at the intersection of business and politics. He's currently on the investigative team at Bloomberg Industry Group, pursuing projects tied to the executive agencies, Congress and the corporate world. He's a Mizzou alum who got his start covering city hall for the Joplin Globe and has worked at CNN, the Sarasota Herald-Tribune, and wrote about the auto industry for the NYT. @akesslerdc
Olga Pierce is on the faculty at the College of Journalism and Mass Communications at the University of Nebraska-Lincoln, and a Data Journalism Adviser to ProPublica. Previously, she worked at ProPublica for ten years as a reporter and Deputy Data Editor. She is a graduate of the Stabile Investigative Seminar at Columbia University. @olgapierce
Andrew Ba Tran is an investigative data reporter on The Washington Post's rapid response team. He previously was a data editor in Connecticut where he investigated racial profiling by police and before that was a data producer in Boston. Other East Coast newsrooms he's made his way through include The Virginian-Pilot and the Sun-Sentinel. He’s a Metpro Fellow and a Chips Quinn Scholar, too.
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