Category Data Vis
I’ve spent quite a lot of time recently researching infographics – trying to get an understanding of what makes a good one (of which the examples are few and far between) and thinking about where infographics go next (after the… Continue Reading →
This post is not about Steph Curry changing his mid-range jumpshot technique. Instead, it’s about a cool datavis project called Makeover Monday. In honor of the start of the NBA regular season today, I’m going to highlight the Steph Curry… Continue Reading →
Are you white, middle-aged, and knocking on death’s door? Then you probably voted for Trump, according to this county-level analysis of Super Tuesday results by the Washington Post’s Wonkblog. Only 2 are shown here. Click through to see all 9… Continue Reading →
I stumbled upon this great Data Viz resource from Severino Ribecca, tweeting at @dataviz_catalog, which catalogues (love the Brit-English spelling nuances, by the way) an extensive and growing list of data visualisation [sic] methods. Severino isn’t just cataloging (catalogueing?) and… Continue Reading →
Qualitatively and quantitatively, Paul Blart Mall Cop 2 is the hands-down worst movie of 2015, according to the data presented in this fascinating movie data visualization tool from Information is Beautiful. What makes it so bad? Universally panned by critics… Continue Reading →
From: FiveThirtyEight: The Impactof Every NBA All-Star, Ranked
This map demonstrates some fascinating geographical realities. The two that stand out the most: Sarah Palin got something right You can sail due west from Chile and land on Chile [ via boingboing ]
Remember when Chuck said the @Warriors were just a jump-shooting team that couldn't win? Credit to him for this pic? pic.twitter.com/TIUOYXsMnz — Rachel Nichols (@Rachel__Nichols) October 28, 2015