Projects submitted to the Data Journalism Awards competition

Right here you will find a list of all the projects submitted to the Data Journalism Awards competition.  

Individual Portfolio: Julia Wolfe
Country: United States
Organisation: FiveThirtyEight
Best individual portfolio
Interactive
Collaboration
Visualisation
Accessibility / Inclusivity
Applicant
Julia
Wolfe
Team Members
My coworkers at FiveThirtyEight who collaborated on, inspired and edited these projects.
Project Description
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.
Technologies Used
For data analysis, I rely on R and Excel. All my visualizations are custom-made, usually through front-end code such as HTML, CSS and JavaScript (including libraries like D3 and underscore). Static pieces are made in Adobe Illustrator. We use ArchieML to write our stories and block out our interactives, both to help with copy-editing and to ensure as much content as possible is compiled in our task-runner, so our pages load quickly. I use Browserstack to ensure my work will perform well on all our supported browsers and devices (though when possible, I will still test on a real device in person). I use google chrome developer tools to ensure I meet accessibility and performance standards.