raw = FileAttachment("owid-co2-data.csv").csv()
reduced_data = Object.values(raw.reduce((acumulator, current) => {
let key = `${current.country}-${current.year}`
const country = countries_loc.find(element => element.Country == current.country)
if(country != undefined){
sectors.map(sector => {
const new_key = key + `-${sector}`
acumulator[new_key] = {
country: current.country,
year: current.year,
sector: sector,
co2: current[`${sector == "luc"? "land_use_change" : sector == "other"? "other_industry" : sector}_co2`],
cumulative_co2: current[`cumulative_${sector}_co2`],
share_global_co2: current[`share_global_${sector}_co2`],
share_global_cumulative_co2: current[`share_global_cumulative_${sector}_co2`],
longitude: country.Longitude,
latitude: country.Latitude
}
})
}
return acumulator
}, {}))
reduced_data
Type Table, then Shift-Enter. Ctrl-space for more options.
countries_loc = FileAttachment("countries_lon_lat.csv").csv()
countries_list = country_continent.map(obj => obj.country);
emissionsCountry = emissions[country].data
emissions = (
await fetch(
"https://nyc3.digitaloceanspaces.com/owid-public/data/co2/owid-co2-data.json"
)
).json()
import { toc } from "@nebrius/indented-toc"
import {joinArrays} from "56f7c9059e8ab6d1"
import {Scrubber} from "@mbostock/scrubber"
import {boxStyles} from "@udg-master-data-science/data-playground"
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