Next Meetup

Data Journalism #22 intro to R for journalists: find stories in data [resched]
Our Meetup #22 will be held at the 1776 DC Campus on the 12th floor's Gates room. If lost or any questions, please email Flavius fmihaies(at) or text[masked] and we'll come pick you up. MIKE JADOO will introduce key R basics for those who are not familiar with the software. You will learn how to use the statistical computing and graphics language R to enhance your data analysis and reporting process. This interactive presentation is designed to give you a taste of all the possibilities from programming in R and is part of a Data Journalism DC series that provide practical training in data science tools for journalists and other interested folks. R is a programming language and free software environment for statistical computing and graphics. The R language is widely used among statisticians, data scientists, as well as journalists for a wide range of tasks. Mike will cover the basics of the R programming language from installation, navigating across the R environment from the GUI and RStudio. Finally, practice creating data, importing, and make some simple visuals to get everyone comfortable using the software. Difficulty level: beginner Mike works as an economist at the Bureau of Labor Statistics and teaches as an adjunct professor at Montgomery College on the subject of data analysis. He is the organizer of the Statistical Seminars DC Meetup, You can follow Mike on Linkedin, All group's posts are on our website and some on our Medium publication Join our Slack group (request an invitation here and See you all on Wednesday, December 13! Data on, journos, data scientists and data curious! [Due to the National Day of Mourning closings, this meetup was rescheduled from December 5]

1133 15th St NW

1133 15th Street Northwest · Washington

What we're about

We bring together data scientists and journalists to create timely and rigorous data journalism.

Update: A very very insightful and at times frightening meetup #19 on government-driven social media manipulation last Thursday! Member Jingnan Huo talked about Dr. Howard and Samantha Bradshaw’s findings on NPR following our meeting. Congrats and thank you, Jingnan!;

We began as a way to connect the local participants in the Knight Center's Python for Data Journalists: Analyzing Money in Politics MOOC last June and continued as a community to get to know more people interested in data journalism around DC, and now worldwide, and produce consequential data journalism that helps identify the scale of an issue of importance to our times or has the potential of influencing policy. To this end, the group will actively explore avenues for publishing project outcomes.

Stories we produce are published on our website ( and Medium publication

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The group is open to anyone interested in data science and journalism.

Data on, journos!

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