- Machine Learning for Plant Properties — startup building database of plant genomics, properties, research, etc. for mining. The more familiar you are with your data and its meaning, the better your machine learning will be at suggesting fruitful lines of query … and the more valuable your startup will be.
- Dissecting Message Queues — throughput, latency, and qualitative comparison of different message queues. MQs are to modern distributed architectures what function calls were to historic unibox architectures.
- 1915 Data Visualization Rules — a reminder that data visualization is not new, but research into effectiveness of alternative presentation styles is.
- The Broken Promise of the Mobile Web — it’s not just about the UI – it’s also about integration with the mobile device.
Jer Thorp visualizes the history of "The Avengers."
In this week's visualization, The New York Times' data artist Jer Thorp visualizes the appearances of "The Avengers" in the comic book series.
A look at the historical accuracy of "Downton Abbey's" language.
Ben Schmidt ran the script of the "Downton Abbey" season two finale through Google Ngrams to see how the show's language matches up with history.
Transaction costs, crowdsourcing, and the persuasiveness of data were all in play long ago.
Examples from the Victorian era show that if we're going to improve the world with data, it's absolutely essential we stay grounded in reality.
Yelp's MRJob goes open source, CODATA catalogues historical data, one more telecom lawsuit, and Expedia cleans up their UI
In the latest Strata Week: Yelp makes MRJob open source; CODATA wants to inventory "threatened data"; a visualization untangles a telecom lawsuit; and analytics and a simple fix nets $12 million for Expedia.