Frustrated with vehicles blocking bus and bike lanes, Alex Bell applied some statistical methods to estimate the extent.
Michael W. Kearney implemented a classifier for Twitter bots. It’s called botornot: Uses machine learning to classify Twitter accounts as bots or not bots.
The Upshot has used a needle to show shifts in their live election forecasts, because many readers don’t understand probability.
Kofi Annan for Nature on the importance of data in ending poverty and hunger: Such fine-grained insight brings tremendous responsibility to act.
Many cities provide free bus tickets for homeless people who want to relocate. The Guardian compiled data from sixteen cities to show where thousands of people bussed to over a six-year period.
Speaking of outliers, it’s not always obvious when and why a data point is an outlier. The Overview of Outliers package in R by Antony Unwin lets you compare methods.
Neural networks can feel like a black box, because, well, for most people they are. Supply input and a computer spits out results.
Step 1: Figure out why the outlier exists in the first place. Step 2: Choose from these visualization options to show the outlier.
I always love a good lottery hacking story. Jason Fagone for The Huffington Post chronicles the winnings of Gerald and Marge Selbee, a retired couple from a small town in Michigan.
The 2020 Census approaches, and with budget cuts, resignations, and so much stuff up in the air, there’s cause for concern.
In a project he calls Sentence Space, Robin Sloan implemented a neural network so that you can enter two sentences and get a gradient of the sentences in between.
Speaking of surveillance cities, Ali Winston for The Verge reports on the relationship between Palantir and New Orleans Police Department.
Smart home. Smart city. They have a positive ring to it, as if the place or thing will know what we want right when we need it and adjust accordingly.
556 people have gone to space. In an article on their changed perspectives, Jason Treat for National Geographic shows when these select few went on their travels.
Make the unit chart less abstract with icons that represent the data, or use this in place of a bar chart.
Birds migrate to areas more hospitable, but where do they go? It depends on the bird. It depends on the time of year.
A car moving at 70 miles per hour has to stop suddenly. Another car going 100 miles per hour also has to stop suddenly.
Mikhail Popov, a data scientist at the Wikimedia Foundation, led a workshop on visualization literacy recently.
A waiting simulator to take out some of the guesswork. Read More
Every year, we look at the medal counts of each country. Who’s winning? It depends on how much value you place on each medal.