Andrew Flowers: "The Six Types of Data Journalism Stories"

Data journalists write stories with data and find stories in data. At FiveThirtyEight, data journalists' preferred tools are R and the tidyverse packages. R is used to find stories through exploratory analysis, web scraping, and statistics; then, to tell stories, we leverage R’s powerful chart and interactive packages (like ggplot2). This talk will profile the six types of data journalism stories, motivated by novelty, outlier, archetype, trend, debunking, and forecast. As examples, several FiveThirtyEight stories or projects that used R extensively will be profiled, covering topics such as p-hacking in nutrition studies, the history of police officer shootings, how Uber is affecting New York City taxis, and what local characteristics explained Donald Trump winning the Presidency.

Andrew Flowers is a journalist and data scientist. He was previously the quantitative editor and economics writer for, Nate Silver's data-driven news website. Before that, he was an economic analyst at the Federal Reserve Bank of Atlanta. He graduated with a B.A. in economics from the University of Chicago. He is passionate about R, open source software, politics, and basketball.

Sponsored by the Math Department and the Portland R User Group.

Wednesday, March 22, 2017 at 6:30pm to 8:30pm

Vollum College Center, Vollum lecture hall
3203 Southeast Woodstock Boulevard, Portland, Oregon 97202-8199

Event Type



Faculty, Students, Open to the Public

Computing & Information Services, Mathematics
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