- The Parable of Google Flu (PDF) — We explore two
issues that contributed to [Google Flu Trends]’s mistakes—big data hubris and algorithm dynamics—and offer lessons for moving forward in the big data age. Overtrained and underfed?
- Principles of Good Data Analysis (Greg Reda) — Once you’ve settled on your approach and data sources, you need to make sure you understand how the data was generated or captured, especially if you are using your own company’s data. Treble so if you are using data you snaffled off the net, riddled with collection bias and untold omissions. (via Stijn Debrouwere)
ENTRIES TAGGED "data analysis"
Google Flu, Embeddable JS, Data Analysis, and Belief in the Browser
Edge contributors say it's time to retire the search for one-size-fits-all answers.
What business leaders need to know about data and data analysis to drive their businesses forward.
As society becomes increasingly data driven, it's critical to remember big data isn't a magical tool for predicting the future.
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.
An astonishing connection between web ops and medical care.
Machine learning and access to huge amounts of data allowed IBM to make an important discovery about premature infants. If web operations teams could capture everything — network data, environmental data, I/O subsystem data, etc. — what would they find out?
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.
Be aware of the just-so data stories that sound reasonable but cannot be conclusively proven.
Bradley Voytek: "Our goal as data scientists should be to distill the essence of the data into something that tells as true a story as possible while being as simple as possible to understand."
Experts make the leap from correct results to understood results.
We can't forget that data is ultimately about insight, and insight is inextricably tied to the
stories we build from the data. Subject experts are the ones who find the stories data wants to tell.
Chris Amico and Laura Norton Amico's project started as a spreadsheet. Now it's a community news platform.
To learn more about the people who are redefining the practice computer-assisted reporting, in some cases, building the newsroom stack for the 21st century, Radar conducted a series of email interviews with data journalists during the 2012 NICAR Conference. "It’s not just about the data, and it’s not just about the journalism, but it’s about meeting a community need in an innovative way," said Laura Norton Amico.