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 7/11/2016
Icarus, Oedipus, Cinderella
The Theorem Every Data Scientist Should Know
Quick! Define the Central Limit Theorem. Scratching your head? You're not alone. And yet, this theorem is key to what data scientists do every day: make statistical inferences about data. - Jean-Nicholas Hould
A LOOK BACK
The Surprising History of the Infographic
How did data visualization influence the Civil War, Florence Nightingale, and the 19th century U.K. wheat industry? Take a tour of infographics past to find out.
- Related: What Election Map History Can Teach You About Presenting Data (Mode)
Data Mining Reveals the Six Basic Emotional Arcs of Storytelling
Scientists at the Computational Story Lab performed sentiment analysis on over 1,700 English language works of fiction to identify the fundamental shapes stories can take. They also found out which of these arcs make for the most popular narratives. - MIT Technology Review
Theories of Everything, Mapped
For all you physics folks: a map of questions from the frontier of fundamental physics, weighted by their importance in advancing the field. For all you data viz folks: an interactive experience you can't miss. - Quanta Magazine
Last Tuesday: Alton Sterling was fatally shot by police in Baton Rouge, LA. Wednesday: Philando Castile was shot and killed by an officer in a St. Paul, MN suburb. Thursday: five police officers were killed by a sniper following a peaceful demonstration for Alton and Philando in downtown Dallas. Acts like these are not new. Over 500 people nationwide have been shot by police in 2016 alone.
- Fatal Force: a database of police shootings in 2016 (Washington Post)
- The Counted: people killed by police in the United States (The Guardian)
- A Multi-Level Bayesian Analysis of Racial Bias in Police Shootings at the County-Level in the United States, 2011–2014 (PLOS ONE)
- The Police Are Killing People As Often As They Were Before Ferguson (FiveThirtyEight)