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Zan
Data Visualization for Data Analysis
Published
before / after
Edited
Feb 16, 2022
1 fork
18 stars
1
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data = FileAttachment("texasEnergyJanFeb2021@1.csv").csv({ typed: true })
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sortOptions = (new Map([
["solar, natural gas, nuclear, coal, wind, hydro, other", ["solar","natural gas", "nuclear","coal", "wind", "hydro", "other"]],
[categories.join(", "),
categories],
["alphabetical (default)",
["coal", "hydro", "natural gas", "nuclear", "other", "wind"]],
["most to least by usage",
sortedByTotal],
["least to most by usage",
sortedByTotal.slice().reverse()]
]))
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sortedByTotal = d3.rollups(data, v => d3.sum(v, d => d.value), d => d.type).sort((a,b) => b[1] - a[1]).map(d => d[0])
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// set up our color scale to match EIA color schemes (semantic colors; ie - hydro is blue, solar yellow, etc)
color = ({
domain: ['solar', 'wind', 'coal', 'natural gas', 'nuclear', 'hydro', 'other'],
range: ["#FEC704","#5C9631", "#664F06","#BD7229","#A1333F","#0395D6","#ADADAD"]
})
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