Data Visualization Developer at The Associated Press
Public
Edited
Nov 21, 2023
result = calculateEmissions()
function calculateEmissions() {
const CPImultiplier = .8414
const adjustedIncome = +user.income * CPImultiplier
const calc = new Calculator(adjustedIncome, user.state)
const categories = calc.getTotalGoodsEmissions()
const fuelEmissions = calc.getFuelEmissions()
const electricEmissions = calc.getElectricEmissions()
const total = d3.sum(categories, d => d.emissions) + d3.sum(fuelEmissions, d => d.emissions) + electricEmissions.emissions
const result = [...categories, ...fuelEmissions, electricEmissions]
result.total = total
result.percentile = Math.ceil(percentile(households.map(d => d.Total_CO2), total))
return result
}
class Calculator {
constructor(income, state) {
this.income = income
this.state = state
}
getElectricEmissions = () => {
const x = electricMultipliers.get(this.state) * this.income * (electricity / 100)
return {category: "electricity", emissions: x}
}
getFuelEmissions = () => {
return Object.keys(userFuel).map(key => {
const dollarsSpent = this.income * (userFuel[key] / 100)
const f = directMultipliers[key]
const emissions = (f.supplyChain * dollarsSpent) + (f.value * dollarsSpent)
return {category: key, emissions: emissions}
})
}
getTotalGoodsEmissions = () => Object.keys(form)
.map(key => ( {category: key, emissions: (form[key] / 100) * this.income * this.getMultiplier(key) } ) )
getMultiplier(key) {
return goodsMultipliers.has(key) ? goodsMultipliers.get(key) : 0
}
}
defaults = [.0172, .0461, .0303, .1957, .0646, .0213, 0.2553, .0142, .0395, .0273, .0083, 0.1276, .05]
directMultipliers = {return {"Fuel Oil": {supplyChain:0.003735, value: 0.003273}, "Gasoline": {supplyChain: 0.003832, value: 0.003343}, "Natural gas": {supplyChain: 0.005367, value: 0.005078}, "Other fuels": {supplyChain: 0.003497, value: 0.002983}}
}
{const data = await FileAttachment("state_electric_multipliers.csv").csv()
return data.map(d => ({state: d.state, multiplier: +d["multiplier (t CO2e / $)"] }))
}
await FileAttachment("consumption_multipliers.csv").csv()
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