Analytics Dispatch 7/25/2016
Pokémon pandemonium
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[VIDEO] A visual guide to Bayesian thinking
The best single source we've found for demystifying how Bayes' Rule works, the intuition behind it, and how you can use it to inform your thinking. - Julia Galef
FAIR AND IMPARTIAL?
Analysis of 7 million Amazon reviews
Ever seen this message at the bottom of an Amazon review and raised an eyebrow?: “I received this product for free or at a discount in exchange for my honest, unbiased review.” Sure, these folks claim to be impartial, but are they really? The data says no. - ReviewMeta
STORAGE WARS
When to use unstructured datatypes in Postgres–Hstore vs. JSON vs. JSONB
PostgresSQL has supported NoSQL for a while now, but when should you use the relational mode and when should you use non-relational mode? And if you use NoSQL, which data type should you pick? - Citus Data
MODERN FAMILY
Most Common Family Types in America
54% percent of U.S. households fit the nuclear family model, but that other 46% leaves room for a lot of variety. Explore a diverse group of family structures in this visualization. - FlowingData
THE DRAWING BOARD
Simple requirements gathering questions for dashboard design
Next time someone asks you to make a dashboard, pull this list out. It provides a framework for sussing out what's needed for the dashboard to be useful and effective. - Paint by Numbers
People are talking about: Pokémon
Pokémon Go has taken the world by storm for nearly a month now. Here are some interesting analyses and projects about the mobile game and the Pokémon universe in general.
- Pokemon: Visualize 'em all! (Joshua Kunst)
- Pokémon GO Becomes the Fastest Mobile Game to 10 Million Worldwide Downloads (SensorTower)
- PoGoMap: A live visualization of all the Pokemon in your area (PoGoMap)
- Six colorblind-friendly versions of the Pokemon Type attack/defense chart (Reddit)
New at Mode
Lego has changed a good deal over the decades—but how, exactly? This analysis of 67 years of Lego data reveals that Lego sets are getting grayer and bigger.