Published
Edited
Apr 3, 2022
2 forks
11 stars
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ELD Viewer
Plot.plot({
marginLeft: 60,
x: {
type: "time",
axis: "top",
ticks: 25,
tickFormat: "%H",
grid: true,
nice: true
},
y: { domain, tickSize: 0, label: null },
marks: [
Plot.frame(),
// time ticks every 15 and 30 minutes
Plot.tickX(
thirty.flatMap((time) => domain.map((status) => ({ time, status }))),
{ x: "time", y: "status", strokeWidth: 0.25 }
),
Plot.tickX(
fifteen.flatMap((time) => domain.map((status) => ({ time, status }))),
{ x: "time", y: "status", strokeDasharray: [0, 5, 4], strokeWidth: 0.25 }
),
// data line
Plot.line(data, {
x: "time",
y: "status",
curve: "step-after",
stroke: "blue",
strokeWidth: 2
}),
// compute the totals
Plot.text(
d3.pairs(data),
Plot.groupY(
{
text: (d) => new Date(d3.sum(d) + 30000).toISOString().slice(11, 16)
},
{
y: ([a]) => a.status,
text: ([a, b]) => b.time - a.time,
x: dayExtent[1],
textAnchor: "start",
dx: 10
}
)
)
],
marginRight: 40,
width,
height: 150
})
// Add an event at 0:00 and another at 23:59:59 if you need to compute the days’ totals.
data = d3
.csvParse(
`time,status
// 2021-07-20T00:00:00,Off Duty
2021-07-20T06:00:00,Off Duty
2021-07-20T07:12:00,On Duty
2021-07-20T07:53:00,Driving
2021-07-20T08:00:10,On Duty
2021-07-20T09:08:00,Driving
2021-07-20T10:00:00,On Duty
2021-07-20T10:30:00,Driving
2021-07-20T10:45:00,On Duty
2021-07-20T11:15:00,Driving
2021-07-20T11:30:00,On Duty
2021-07-20T15:14:00,Driving
2021-07-20T16:00:00,Off Duty
2021-07-20T18:00:00,Off Duty
// 2021-07-20T23:59:59,Off Duty
`,
d3.autoType
)
.filter((d) => d.time instanceof Date)
domain = ["Off Duty", "Sleeper", "Driving", "On Duty"]
extent = d3.extent(data, (d) => d.time)
dayExtent = [d3.timeDay.floor(extent[0]), d3.timeDay.ceil(extent[1])]
fifteen = d3.timeMinute
.every(15)
.range(...dayExtent)
.filter((d, i) => i % 2)
thirty = d3.timeMinute
.every(30)
.range(...dayExtent)
.filter((d, i) => i % 2)
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