- Slopegraphs — a nifty Tufte visualization which conveys rank, value, and delta over time. Includes pointers to how to make them, and guidelines for when and how they work. (via Avi Bryant)
- scalang (github) — a Scala wrapper that makes it easy to interface with Erlang, so you can use two hipster-compliant built-to-scale technologies in the same project. (via Justin Sheehy)
- Madlib — an open-source library for scalable in-database analytics. It provides data-parallel implementations of mathematical, statistical and machine learning methods for structured and unstructured data. (via Mike Loukides)
ENTRIES TAGGED "analytics"
Flurry's Sean Byrnes on the challenges of mobile analytics.
Flurry's Sean Byrnes talks about the intricacies of mobile analytics, the metrics app developers care about most, and the problems that stem from Android fragmentation.
Opera Solutions' Arnab Gupta says human plus machine always trumps human vs machine.
Managing data and extracting meaning require new approaches, new education, and even a new language. Opera Solutions CEO Arnab Gupta discusses each of these areas in the following interview.
George Siemens on the applications and challenges of education data.
Education theorist George Siemens discusses education data: its current state, how it can shape customized learning, and what lies ahead for education analytics.
Rare Visualization, Google+ Tech, Scala+Erlang, and In-Database Analytics
Cataloging the web's attic, improving healthcare data collection, Twitter buys BackType
In the latest Strata Week: Researchers are trying to figure out how much of the web has been archived, the Department of Health and Human Services looks to improve healthcare data collection, and Twitter acquires Backtype.
Upload state- or time-based data and Google Correlate reveals search trends.
Google Correlate is a new tool in Google Labs that lets you upload state- or time-based data to see what search trends most correlate with that information. Here's a look at how it works and what you can do with it.
Analysis of complete data sets and integration of new tools are leading to revenue growth and new business models.
To benefit from advanced analytics and study complete huge data sets, many enterprise architectures are evolving into coexistence environments that combine legacy and new systems.
Publishers have data, but they need to know what to do with it.
Kirk Biglione, partner at Oxford Media Works, talks about how publishers can gather various types of data and put it to use.