CEO / Co-founder @observablehq. Building the future of data work and collaboration. Humans and Community first.
schedule = yaml`
- 7:45 AM: Wake up
- 8:00 AM: Crow bar to remove from bed
- 8:15 AM: Breakfast
- 8:30 AM: Dance party
- 9:00 AM: Morning meeting
- 9:15 AM: Chinese
- 10:00 AM: Snack
- 10:15 AM: Math
- 11:15 AM: Ancient civilization project
- 12:00 PM: Lunch
- 12:30 PM: Inquiry challenge
- 1:00 PM: English
- 2:00 PM: Video chat with classmates
- 2:30 PM: Chinese reading
- 3:30 PM: Reflection and reading
- 4:30 PM: Dog walk
- 5:00 PM: Free time
- 6:00 PM: Dinner
- 6:30 PM: Dance party
- 7:00 PM: Games, movies, madness
- 7:15 PM: Bedtime unknown!!!
`.flatMap(Object.entries)
.map(([time, activity]) => ({time: parse(time), activity}))
afternoon = d => 12 < (d.time.getHours()+ d.time.getMinutes()/60)
&& (d.time.getHours()+d.time.getMinutes()/60) <= 18
theta = d3.scaleTime()
.domain([parse('12:00 AM'), parse('12:00 PM')])
.range([0, 2 * Math.PI])
w = Math.min(width, 900)
h = w
parse = d3.timeParse('%I:%M %p')
import { yaml } from '@71/yaml'
d3 = require('d3-array@2', 'd3-scale@3', 'd3-selection@1', 'd3-shape@1', 'd3-time-format@2')
One platform to build and deploy the best data apps
Experiment and prototype by building visualizations in live JavaScript notebooks. Collaborate with your team and decide which concepts to build out.
Use Observable Framework to build data apps locally. Use data loaders to build in any language or library, including Python, SQL, and R.
Seamlessly deploy to Observable. Test before you ship, use automatic deploy-on-commit, and ensure your projects are always up-to-date.