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Plot.plot({
style: "overflow: visible;",
color: { legend: true },
// symbol: {legend: true},
title: "miss ratio on " + trace + " trace",
x: {
label: "Cache size",
grid: true,
type: xscale,
// domain: [start_size, end_size]
},
y: { label: "Miss ratio", grid: true, type: yscale }, // domain: [1e-2, 1]
marks: [
Plot.lineY(plotData2, {
x: "Cache size",
y: "Miss ratio",
stroke: "Eviction algorithm",
tip: true,
marker: "circle"
})
// Plot.text(
// plotData,
// Plot.selectLast({
// x: "Cache size",
// y: "Miss ratio",
// z: "Eviction algorithm",
// text: "Eviction Algorithm",
// textAnchor: "start",
// dx: 3
// })
// )
]
})
data = FileAttachment("all@1.csv").csv({ typed: true })
plotData = plotData2
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
