Introducing Visual Explorer, a new tool for data visualization.Learn more

Analytics Dispatch 2/1/2016

A new kind of parasite

What happened in Flint, the impact of closing the L train in NYC, “research parasites,” and Disney princess linguistics.

The L Train closure—what data can tell us
This is a great example of how civilians can harness open data to analyze the impact of proposed government projects. - CartoDB

Writing More Legible SQL
It's easy to get lazy when writing SQL. Here are a few tips for cleaning up your queries so others can actually read your work. - Craig Kerstiens

Researchers have found a major problem with ‘The Little Mermaid’ and other Disney movies
The original three Disney princesses—Snow White, Cinderella, and Sleeping Beauty—are classic examples of the archetypal damsel in distress. But an analysis of the dialogue in the Disney princess franchise shows that it wasn't until “The Little Mermaid” that men significantly outspoke the women. - Wonkblog

[PODCAST] Building a business that combines human experts and data science
An insightful interview with Eric Colson about algorithms, human computation, and building data science teams at Stitch Fix and Netflix. - O'Reilly Data Show Podcast

Are Your Predictive Models like Broken Clocks?
How can you ensure you've picked the “right model” for a very big and very complex dataset? - Rocket-Powered Data Science

People are talking about:

The Flint water crisis
The water contamination in Flint, MI was declared a public health emergency last October, but many residents had known long before that there was something wrong. For months, they'd been collecting evidence to convince officials, but that data was ignored in favor of official—and severely flawed—reports.

“Research parasites”
The New England Journal of Medicine recently published an editorial about data sharing which referred to people who use data secondhand as “research parasites.” Twitter went nuts and many a think piece were written.

decorative particle

Get our weekly data newsletter

Work-related distractions for every data enthusiast.