It’s no seekrit that I :heart: Hilbert curve heatmaps of IPv4 space. Real-world IPv4 maps (i.e. the ones that drop dots on the Earth) have little utility, but with Hilbert curves maps of IPv4 space many different topologies can be superimposed (from ASNs to—if need be—geographic locations). Plus, there’s more opportunity to find patterns by… Continue reading
This made the rounds on social media last week: Spiraling global temperatures from 1850-2016 (full animation) https://t.co/YETC5HkmTr pic.twitter.com/Ypci717AHq — Ed Hawkins (@ed_hawkins) May 9, 2016 One of the original versions was static and was not nearly as popular, but—as you can see—this one went viral. Despite the public’s infatuation with circles (I’m lookin’ at you,… Continue reading
I follow the most excellent Pew Research folks on Twitter to stay in tune with what’s happening (statistically speaking) with the world. Today, they tweeted this excerpt from their 2015 Global Attitudes survey: The age gap in social media use around the world https://t.co/0Dq1PcbExG pic.twitter.com/9HBM7gLxwR — PewResearch Internet (@pewinternet) April 17, 2016 I thought it… Continue reading
The Wall Street Journal did a project piece [a while back](http://projects.wsj.com/waste-lands/) in the _”Waste Lands: America’s Forgotten Nuclear Legacy”_. They dug through [Department of Energy](http://www.lm.doe.gov/default.aspx?id=2602) and [CDC](http://www.cdc.gov/niosh/ocas/ocasawe.html) data to provide an overview of the lingering residue of this toxic time in America’s past (somehow, I have to believe the fracking phenomena of our modern era… Continue reading
I’ve been staring at this homeless data set for a few weeks now since I’m using it both here and in the data science class I’m teaching. It’s been one of the most mindful data sets I’ve worked with in a while. Even when reduced to pure numbers in named columns, the names really stick… Continue reading
The response to 52Vis has exceeded expectations and there have been great entries for both weeks. It’s time to award some prizes! ### Week 1 – Send in the Drones I’ll take [this week](https://github.com/52vis/2016-13) in comment submission order (remember, the rules changed to submission via PR in Week 2). NOTE: WordPress seems to have “eaten”… Continue reading
Shortly after I added lollipop charts to ggalt I had a few requests for a dumbbell geom. It wasn’t difficult to do modify the underlying lollipop Geoms to make a geom_dumbbell(). Here it is in action: library(ggplot2) library(ggalt) # devtools::install_github(“hrbrmstr/ggalt”) library(dplyr) # from: https://plot.ly/r/dumbbell-plots/ URL
>UPDATE: Changed code to reflect the new `horizontal` parameter for `geom_lollipop()` I make a fair share of bar charts throughout the day and really like switching to lollipop charts to mix things up a bit and enhance the visual appeal. They’re easy to do in `ggplot2`, just use your traditional `x` & `y` mapping for… Continue reading