awesome piece, but is Lisa Loeb's masterpiece really more recognized by people in their 20s and 40s than people in their 30s? Seems weird that anything would show up in that segment of the venn
New project: with 4m data points about songs people recognize, we noticed a pattern that often plays out on a wedding dance floor: a song might be a siren for certain ages and alienating to others. @matthew_daniels made a short comic about the phenomenon https://t.co/WaCDI3kwgM
"1:00 a.m." < "1:00 p.m." < "1:01 a.m."...people like to complain about Excel's coercing everything into dates, but if it didn't, you'd see this kind of mistake all over the place.
So last week I quit my job at Apple to be a cofounder at @noteable_io where I'll be the data visualization lead. I'm excited about diving back into the notebook space and building out a consumer-facing dataviz product.
@FrankElavsky About 4:20 hrs/day, with a spike in May (6:40) as listening to pop music has become the thing least likely to make me feel terrible about the world.
@jessfca I never listened to them before this year and they're so great! Wholesale Meats and Fish is my fave. Kay Hanley sings the Josie and the Pussycats soundtrack too (watched recently, also highly recommend)
So, yes there have been whispers and I'm bad at keeping secrets. Side B for DEDICATED is out now babies. I hope it makes it yah dance your pants off! I owe yah one...or like two albums turns out. ;)
For the record, I love all of you.
Carly Rae ♥️
https://t.co/WtVQRUvach
finding Spotify's index of every song written by Julia Michaels has been a nice little quality of life improvement for me this week https://t.co/A5sgKWa4vU
📺 New Video:
Vega-Lite: A Crash Course. See how to build rapid charting and fast explorations of data on @Observablehq from our March meetup with Observable engineer @visnup
https://t.co/7oJJu3kLs1
#DataVisualization#DataScience#DataViz
🙌