Principal Web Developer at Freedom of the Press Foundation
Published
Edited
Aug 4, 2022
2 stars
Beantown Stomp 2023 CO₂ LevelsAssorted CO₂ ReadingsCO₂ Measurements for ESCape at Pinewoods Camp 2022Aranet4 Data Utilities
Freedom of the Press Foundation 2022 All Staff CO₂ Levels
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Coronavirus
data = aranetData(await FileAttachment("Aranet4 13BA0_2022-07-30T10_42_39-0400.csv").csv())
milestones = [
[utc(2022, 6, 25, 23, 0), 'EVEN Hotel', 'Fast asleep 😴'],
[utc(2022, 6, 26, 8, 54), 'Walking'],
[utc(2022, 6, 26, 9, 17), 'Breakfast', 'Office'],
[utc(2022, 6, 26, 10, 0), 'All staff activities', 'Office'],
[utc(2022, 6, 26, 12, 30), 'Lunch', 'Office'],
[utc(2022, 6, 26, 14, 0), 'All staff activities', 'Office'],
[utc(2022, 6, 26, 16, 23), 'Walking'],
[utc(2022, 6, 26, 16, 44), 'EVEN Hotel'],
[utc(2022, 6, 26, 18, 12), 'Subway', 'and walking'],
[utc(2022, 6, 26, 18, 28), 'Barcade', 'Indoor arcade and bar, surprisingly low CO₂ levels!'],
[utc(2022, 6, 26, 20, 30), 'Cafe Argentino', 'Outdoor Dining'],
[utc(2022, 6, 26, 22, 15), 'Subway', 'and walking'],
[utc(2022, 6, 26, 22, 32), 'EVEN Hotel', 'Fast asleep 🛌💤'],
[utc(2022, 6, 27, 9, 32), 'Subway', 'and walking'],
[utc(2022, 6, 27, 9, 53), 'All staff activities', 'Office'],
[utc(2022, 6, 27, 12, 30), 'Lunch', 'Office'],
[utc(2022, 6, 27, 14, 0), 'All staff activities', 'Office'],
[utc(2022, 6, 27, 16, 55), 'Subway', 'and walking'],
[utc(2022, 6, 27, 17, 13), 'EVEN Hotel'],
[utc(2022, 6, 27, 18, 10), 'Subway', 'and walking'],
[utc(2022, 6, 27, 18, 26), 'Time Out Market', 'and eating outdoors on the waterfront'],
[utc(2022, 6, 27, 20, 0), 'Westville', 'Outdoor patio drinks'],
[utc(2022, 6, 27, 21, 10), '58 Jay St Bar', 'Outdoor patio drinks'],
[utc(2022, 6, 27, 22, 28), 'Walking'],
[utc(2022, 6, 27, 22, 57), 'EVEN Hotel', 'Fast asleep 😪'],
[utc(2022, 6, 28, 9, 41), 'Walking'],
[utc(2022, 6, 28, 9, 57), 'Breakfast', 'Office'],
[utc(2022, 6, 28, 10, 40), 'All staff activities', 'Office'],
[utc(2022, 6, 28, 13, 0), 'Group Photos', 'Rooftop'],
[utc(2022, 6, 28, 13, 45), 'All staff activities', 'Office'],
[utc(2022, 6, 28, 18, 0), 'Seamore’s', 'Outdoor Dining'],
[utc(2022, 6, 28, 20, 56), 'Walking', 'Across the Manhattan Bridge'],
[utc(2022, 6, 28, 21, 10), 'Up Stairs', 'Lively karaoke bar'],
[utc(2022, 6, 28, 23, 4), 'Subway'],
[utc(2022, 6, 28, 23, 19), 'EVEN Hotel', 'Fast asleep 🥱'],
[utc(2022, 6, 29, 5, 28), 'Lyft'],
[utc(2022, 6, 29, 5, 43), 'Penn Station'],
[utc(2022, 6, 29, 6, 16), 'Acela'],
[utc(2022, 6, 29, 10, 3), 'MBTA'],
[utc(2022, 6, 29, 10, 30), 'Walking'],
[utc(2022, 6, 29, 10, 50), 'Home'],
[utc(2022, 6, 29, 12, 0)],
]
periods = milestonesToPeriods(milestones)
officeStats = {
const officePeriods = periods.filter(d => d.description === 'Office')
const officeReadings = officePeriods.map(p => data.filter(d => +d.date > +p.start && +d.date < +p.end)).flat()
return {
mean: d3.mean(officeReadings, d => d.co2),
max: d3.max(officeReadings, d => d.co2),
}
}
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