The avatar for @zanarmstrong
Zan
Data Visualization for Data Analysis
Public
Edited
Mar 24, 2023
Fork of Just because it’s Time, it doesn’t have to be a Line
1 star
4
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Plot.barX(data,
Plot.binY({x: "count"},
{ y: "kwh",
thresholds: [0,5,10,15,20,25,30,35,40,45,50,55,60,65,70,75,80,85,90,95,100,105,110,115,120,125,130],
fill: (d, i) => (d.kwh > movingAvg[i] + 5 ? 1 : 0)
}))
.plot({
facet: {
data,
x: d => d.date.getMonth(),
},
marks: [
Plot.ruleX([0], {stroke: "black"}),
],
y: { grid: false, reverse: true},
fx: {
tickFormat: d => Plot.formatMonth()(d)
},
marginLeft: 30,
marginBottom: 100,
width: width,
style: {
fontSize: "9px"
},
color: {
range: ["steelblue", "orange"]
}
})
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data = FileAttachment("data.csv").csv({typed: true })
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movingAvg = Plot.line(data, Plot.windowY({ x: "date", y: "kwh", k: 7, shift: "trailing" }))
.initialize()
.channels.y.value
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dateFormat = d3.timeFormat("%Y-%m-%d")
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timeFormat = d3.timeFormat("%m/%d")
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tip = d => `${dateFormat(d.date)} (${Plot.formatWeekday()(d.date.getDay())}): ${d.kwh}`
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import { addTooltips } from "@mkfreeman/plot-tooltip"
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import {authorship, navigation, workshop} from "@observablehq/timeseries-assets"
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