Public
Edited
Dec 7, 2023
Importers
BeaverS48EEPP_Link = "https://docs.google.com/spreadsheets/d/e/2PACX-1vRlEJNlztC4PDNqZk473nlT4fr3CNloLCNIfE0aqXdvT6_nb4_trbHgYdLWMgNVJtykN3NwuKXdEXNr/pub?gid=693504528&single=true&output=csv"
BeaverS48EEPP= d3.csv(BeaverS48EEPP_Link ,d3.autoType)
BeaverS48A =Plot.plot({
title: "Embodied Energy per Person Over Time",
marks: [
Plot.ruleY([0]),
Plot.lineY(BeaverS48EEPP , {
x: "Year",
y: "Embodied_carbon_per_person_Current",
stroke: "green",
channels: { Embodied_carbon_per_person_Current: "Embodied_carbon_per_person_Current" },
tip: true
}),
Plot.lineY(BeaverS48EEPP , {
x: "Year",
y: "Embodied_carbon_per_person_projected",
stroke: "grey",
channels: { Embodied_carbon_per_person_Current: "Embodied_carbon_per_person_projected" },
tip: true
}),
Plot.lineY(BeaverS48EEPP , {
x: "Year",
y: "Embodied_carbon_per_person_new",
stroke: "red",
channels: { Embodied_carbon_per_person_Current: "Embodied_carbon_per_person_new" },
tip: true
})
]
})
BeaverS48OC_Link = "https://docs.google.com/spreadsheets/d/e/2PACX-1vQmwLfyvOMbjb0bn0cG8gh1LR5KJ_ai4g9ijgA2VxCDgVceXDMCsWe1vRjOu-o5XDr6v5FCytiSl3sF/pub?gid=653525205&single=true&output=csv"
BeaverS48OC= d3.csv(BeaverS48OC_Link ,d3.autoType)
BeaverS48B = Plot.plot({
title: "Embodied Energy",
marks: [
Plot.barY(BeaverS48OC, {x: "Building_Type", y: "Value", sort: {x: "y", reverse: true}}),
Plot.ruleY([0])
]
});
BeaverS48CS_Link = "https://docs.google.com/spreadsheets/d/e/2PACX-1vTVbElfqjUiztUSV2fBQMubUEjzl_s74NGJDS3UOB70igjvH95CAiBHBF38GKz7ab-ZC61UhyvhKARs/pub?gid=1072628369&single=true&output=csv"
BeaverS48CS= d3.csv(BeaverS48CS_Link ,d3.autoType)
BeaverS48C = Plot.plot({
title: "Carbon Savings",
marks: [
Plot.barY(BeaverS48CS , {x: "Building_Type", y: "Value", sort: {x: "y", reverse: true}}),
Plot.ruleY([0])
]
})
BeaverS48CPSQF= d3.csv(BeaverS48CPSQF_Link ,d3.autoType)
BeaverS48CPSQF_Link = "https://docs.google.com/spreadsheets/d/e/2PACX-1vQT_1ElmBZz7oPPYDh4SjtPcSdOdWyz41xAk4MmCevpmzSGeCFTSXAc5kc-QMpRcZ4GafZ8dbfm-2WG/pub?gid=653525205&single=true&output=csv"
CostperSQFT = Plot.plot({
title: "Cost per SqFt",
marks: [
Plot.barY(BeaverS48CPSQF , {x: "Building_Type", y: "Value", sort: {x: "y", reverse: true}}),
Plot.ruleY([0])
]
})
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