My coworkers at FiveThirtyEight who collaborated on, inspired and edited these projects.
As a visual journalist, I\'m always looking for new ways to tell a story through original data analysis and graphical presentation. That might mean creating a long streamgraph with 311 data to demonstrate how long hurricane recovery truly takes as seen in \"The (Very) Long Tail Of Hurricane Recovery.\" Sometimes it\'s a animated line-chart that explains how to read the Department of Labor\'s monthly jobs report (\"A Better Way To Think About This Month\'s Jobs Numbers\"). No matter what, my goal is to inform readers in memorable and surprising ways. I strive for accessible work by carefully choosing colors that everyone can see, ensuring a smooth performance across all devices and writing in clear jargon-free terms.
What makes this project innovative?
These projects feature atypical charts, engaging animations and interactions to help best tell their stories. And that can be seen across a wide spectrum of topics, including business, politics, sports and social issues. My work includes large dashboards that allow free user exploration, such as \"Soccer Predictions\" and \"The Atlas Of Redistricting.\" It also includes more narrative storytelling, such as \"Trump vs. Obama: What Companies Tell Investors\". In \"Do You Know Where America Stands On Guns?\" readers are presented with a game that helps challenge their beliefs on the American public\'s attitude towards gun control. Together, these pieces show a diverse portfolio full of unusual and gripping storytelling.
What was the impact of your project? How did you measure it?
For project where we measured user interactions, such as \"Do You Know Where America Stands On Guns?\" and the interactive component in \"How To Win A Nuclear Standoff,\" we were blown away by how often users interacted. Combined, they had over 300,000 sessions of interaction. The soccer predictions page has been one of the top ten most trafficked page on FiveThirtyEight since it launched. The Redistricting project was featured on C-Span, and I was a guest on Cheddar TV to discuss my piece breaking down the jobs report.
Source and methodology
My data analysis is typically conducted in R, though for simpler tasks I\'ll rely on excel. If I make any significant changes to an original dataset, I will always contact the original researcher to confirm that none of my work will unfairly represent the data. We have a thorough editing process, that includes a review of all data gathering and manipulating code, to ensure the accuracy of anything we report. This means an in-depth copy editing process, as well as a pass through our quant editor. These projects use a variety of datasources and — whenever possible — include github links to the data. Sources include: NYC Open Data, Sentieo Inc., Transfermarkt, The Department of Labor, The Department of Justice, Dave\'s Redistricting App, a variety of pollsters and original reporting.