ENTRIES TAGGED "data product"
Kris Hammond on replacing rows and columns with sentences and paragraphs.
Imagine a future where clear language supplants spreadsheets. In a recent interview, Narrative Science CTO Kris Hammond explained how we might get there.
Look inside health data access and you'll see why "ownership" is inadequate for patient information.
Patients, doctors and providers have a unique set of privileges that do not line up exactly with a traditional concept of ownership.
A startup mashes personal and government data with algorithms to provide automated advice.
Given the turmoil in financial markets and uncertainty abroad, good financial advice has never been more valuable. Startup Future Advisor looks to democratize personalized financial advice using the Internet, data and algorithms.
MIT and Massachusetts plan a big data initiative, Cisco predicts the Internet's big data future.
MIT announces a big data research center, Cisco predicts the future of the Internet (in zettabytes), and open data startup Junar announces seed funding.
Visualizing cities' energy usage, population density, and material intensity.
This week's visualization is an interactive web-mapping tool that lets you explore energy usage, material intensity and the overall "urban metabolism" of major U.S. cities.
John Keefe learned data journalism from the online community and applied it to public radio.
John Keefe is a senior editor for data news and journalism technology at WNYC public radio, based in New York City, NY. He attracted widespread attention when an online map he built using available data beat the Associated Press with Iowa caucus results earlier this year.
Key milestones in data journalism's development.
In this excerpt from "The Data Journalism Handbook," Liliana Bounegru connects the dots between the earliest forms of data journalism, the rise of computer-assisted reporting, and today's data-driven media efforts.
Rich machine learning products come from skilled and knowledgeable teams.
Specific insights into a problem and careful model design separate a machine learning system that doesn't work from one that people will actually use.
A look at lesser-known ways to extract insight from data.
Visualizations are one way to make sense of data, but they aren't the only way. Robbie Allen reveals six additional outputs that help users derive meaningful insights from data.