I was honored to be asked to talk at Uber’s Visualization Nights in Seattle, August 31st, 2017. Here’s the Meetup Link.
In May 2018, I also was fortunate to present a version of this talk at the Mini-Conference on Data Visualization and AI currated by Lynn Cherny in Lyon, France.
As you can guess by the amazingly clever title, it was a very serious topic. I used my recent How Long Does it Take to (Quick) Draw a Dog? visualization to talk about histograms and other fun aggregate views of data.
Slides
I used keynote to make the slides, and included a few animations / videos. Unfortunately, these don’t transfer well to the internet. But here’s a speaker deck to give you most of the content of the talk.
References 22 links, click to show
Here is a list of references I used during the talk. Thanks to all the prior work and tools listed!
Quick Draw and prior art
- Quick Draw game Google
- Quick Draw dataset Google
- Letter Collages Deborah Schmidt
- Forma Fluens
- How do you draw a circle? Quartz
- PCA Quick Draw Exploration Yannick Assogba
Histogram examples
- How Histograms Work FlowingData
- How to Read Histograms FlowingData
- Bob Ross Bar Chart FiveThirtyEight
- Chipotle Calories NYT Upshot
- Karl Pearson Wikipedia
- Runners’ Finishing Times NYT Upshot
- Song Lyric Repetitiveness The Pudding
- Summers Getting Hotter NYT
- Pianogram
- Via Velox
- Disneyland Wait Times LA Times
- Free Willy by the Numbers The Pudding
- What’s So Hard About Histograms? Amelia McNamara
- Visualizing Distributions Dark Horse Analytics
- Population Joyplot James Cheshire
- ggjoy R package