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How We Made Losing Ground
By Brian Jacobs
Posted onHow we tracked down, processed, filtered, revisualized, mashed up, and otherwise handled a boatload of disparate imagery to map changes in the Louisiana coastline backward and forward in time.
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How We Made “Faces of Death Row”
By Jolie McCullough and Lindsay Muscato
Posted onThis week, the Texas Tribune launched Faces of Death Row, a simply designed news app that prominently features photographs of each of the 261 people currently awaiting execution in Texas (accompanying article). The app allows for filtering by age, race, sex, and number of years spent on death row. Its simplicity—an artifact of the unavailability of the data the Tribune originally sought—is also its strength.
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How We Made “Money as a Weapons System”
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Posted onHow ProPublica’s team communicated the complexities—and absurdities—of $2B in mostly unrestricted spending by military personnel in Afghanistan.
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Introducing Pulp and Pulp Press
By Michael Keller
Posted onAl Jazeera America’s Michael Keller explains how his team designed and built its first piece of comics journalism.
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How We Made “Disappearing Rio Grande”
By Ryan D. Murphy
Posted onLast December, Colin McDonald pitched an opportunity for The Texas Tribune to partner on an ambitious project–he kayaks, canoes, and walks the Rio Grande’s entire 1,900-mile course, and we create a platform that makes it possible for him and his team to publish their reports on the journey. After a very successful Kickstarter campaign, the Disappearing Rio Grande project was born.
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How We Made “Spot the Ball”
By Alastair Coote, Erin Kissane, Sam Manchester, and Rumsey Taylor
Posted onEven among the many wonderful World Cup interactives and news apps we saw this year, the NYT’s Spot the Ball was a standout, both in conception and execution. We spoke with the team behind it about the project’s design, world-class Photoshopping, and surprising inspiration.
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Finding Evidence of Climate Change in a Billion Rows of Data
By Brian Abelson
Posted onSeeking to contribute to the climate change conversation, the team at Enigma started to brainstorm ways we could produce a data-driven story on how climate change has played out in the United States. Browsing through NOAA’s National Climatic Data Center, we discovered the Global Historical Climatology Network which collects, aggregates, and standardizes daily weather information from more than 90,000 weather stations, dating as far back as 1800. While we come across many incredible public datasets in our work at Enigma, this one immediately stood out for its remarkable combination of geographic granularity and temporal breadth
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Bots with Thoughts
By Jacob Harris
Posted onJacob Harris on magic, aesthetics, and the newsbot frontier.
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How We Made @NailbiterBot
By Noah Veltman
Posted onThe first full round of March Madness is Christmas morning for college basketball fans: 2 days, 32 games, lots of upsets and late-game drama. Last week, on the first full day of the tournament, WNYC transportation reporter Jim O’Grady casually mentioned that he couldn’t keep tabs on all the action during the day. He wished he could get a text message whenever a game was coming down to the wire so he would know when to neglect his professional responsibilities and tune in for the end. I started kicking around the idea in my head a little, and after work my colleague Jenny Ye and I decided to take a break from writing weird JavaScript to write some more weird JavaScript. The result was @NailbiterBot, a humble Twitter bot that posts a tweet whenever an NCAA tournament game is close late in the second half.
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How We Made the SOTU Twitter Visualization
By Nicolas Belmonte and Simon Rogers
Posted onPeople tweet what they think, when they think it—and, crucially, we wanted to provide a visualization for the State of the Union speech which reflected that. This wouldn’t be a (shudder) word cloud based on frequencies but a way to track the conversation on Twitter as it was directly influenced by the President’s speech.
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How We Made “The Fed’s Balancing Act”
By Maryanne Murray and Charlie Szymanski
Posted onThe Reuters Graphics team’s unusual Fed interactive grabbed our attention when it appeared late last month and sparked some interesting conversations on Twitter. Reuters Global Head of Graphics Maryanne Murray and Interactive Data Designer Charlie Szymanski kindly wrote up their rationale and process for us.
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How We Made the Random Oscar Winner Generator
By Chris Wilson
Posted onTime’s interactive graphic editor explains how he built a not-so-random film blurb madlibs generator in the run-up to the Academy Awards.
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To Scrape, Perchance to Tweet
By Abe Epton
Posted onAt the Chicago Tribune, we had a simple goal: to automatically tweet contributions to Illinois politicians of $1,000 or more, which campaigns are required to report within five business days. To see, in something approximating real time, which campaigns are bringing in the big bucks and who those big-buck-bearers are. The Illinois State Board of Elections (ISBE) has helpfully published exactly this data for years online, in a format that appears to have changed very little since at least the mid-2000s. There’s no API for this data, but the stability of the format is encouraging. A scraper is hardly an ideal tool for anything intended to last for a while and produce public-facing data, but if we can count on the format of the page not to change much over at least the next several months, it’s probably worth it.
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Introducing Treasury.IO
By Michael Keller and Cezary Podkul
Posted onThe U.S. Treasury’s Daily Treasury Statement lists actual cash spending down to the million on everything the government spent money on each day, as well as how it funded the spending. But, the Treasury only releases these files in PDF or fixed-width text files like this one, making any analysis very difficult. To liberate the data and make it easy to analyze federal money flows across time, we created Treasury.IO. The system we built downloads and parses the fixed-width files into a standard schema, creating a SQLite database that can be directly queried via a URL endpoint.
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How We Made the Book Concierge
By Shelly Tan
Posted onThe team behind the Book Concierge talks about their design work, implementation details, and team dynamics.
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How We Made “Behind the Bloodshed”
By Anthony DeBarros, Destin Frasier, Erin Kissane, and Juan Thomassie
Posted on“Behind the Bloodshed: The Untold Story of America’s Mass Killings,” is a collaboration between the database team at USA Today and Gannett Digital’s interactive applications and design teams. We chatted with Anthony DeBarros of Gannett Digital, with input from colleagues Juan Thomassie and Destin Frasier, on how the project came together.
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How We Made “NSA Files: Decoded”
By Feilding Cage and Gabriel Dance
Posted onThe Guardian’s Gabriel Dance and Feilding Cage break down their process, from storyboards and video production to major design changes and development challenges.
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How We Made the (New) California Cookbook
By Megan Garvey, Erin Kissane, Lily Mihalik, and Anthony Pesce
Posted onAt the Los Angeles Times, a design-editorial-programming team has resurrected the spirit of the beloved, out-of-print California Cookbook as a new website collecting hundreds of recipes from the Times Test Kitchen. In our Q&A;, the project’s editor, designer, and lead programmer share their goals and challenges, and offer a peek at the site’s building blocks and planned future.
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How We Made Lobbying Missouri
By Danny DeBelius, Christopher Groskopf, Erin Kissane, and Matt Stiles
Posted onLobbying Missouri is a collaboration between St. Louis Public Radio and members of NPR’s news apps teams. We spoke with three team members about the project, their design process, and the code under the hood.
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How We Made It: Your Hospital May Be Hazardous To Your Health
By Justin Falcone
Posted onYour Hospital may be Hazardous to Your Health is an interactive web presentation on the widespread danger of in-hospital injury, built in a single week by PBS Frontline, ProPublica, and Ocupop.
We asked where journalism gatherings go wrong: Here’s what we heard