Breaking data viz rules
Behind the “Heat Index”
Measuring the impact of data education
The case against SQL formatting
What the heck is a data mesh?
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Analytics Dispatch 1/16/2017
A freelancer's tale
Awesome visualization research
A curated list of data visualization research papers, books, blog posts, and other readings. It's pretty fresh, so submit a pull request and contribute! -
Quantifying and Visualizing “Deep Work”
In the zone. Heads down. Deep work. Whatever you call it, you know that feeling—when you're intensely focused and everything just flows. One professor analyzed a year's worth of these sessions. Productivity insights abound. - Enrico Bertini
A handy reference used at the Financial Times to improve chart literacy across the newsroom. Chart types are divided into categories by data relationship (e.g. deviation, correlation, distribution), so you can get some initial ideas for which visualization might work best. - Financial Times
Quora Session with Monica Rogati
The Former VP of Data at Jawbone did a Quora session last week. Here are a couple of especially helpful responses:
- What are the challenges of building a data team at a startup?
- What characteristics make for a good data scientist?
Last Sunday, Uber launched Movement, “a website that uses Uber’s data to help urban planners make informed decisions about our cities.” While some city governments have been clamoring for Uber's data all along, others are questioning the move due to privacy concerns.
- Introducing Uber Movement (Uber)
- Uber Extends an Olive Branch to Local Governments: Its Data (New York Times)
- Ride-Sharing Data Will Be Available to All. Will Privacy Be Protected? (Science Friday)
- Finally, Uber Releases Data to Help Cities With Transit Planning (CityLab)
Beyond Clicks and Opens: Measuring the Impact of Engagement Campaigns
Right out of the box, most email marketing platforms only track vanity metrics. By using SQL to combine raw product and email data, you can better understand how email interventions might be driving desired user behavior.