chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
svg.append("g")
.selectAll("circle")
.data(simulation_data)
.join("circle")
.transition()
.delay(function(d,i){return(i*2)})
.duration(200)
.attr("cx", d => x(d.X))
.attr("cy", d => y(d.Y))
.attr("r", 6)
.attr("fill", d => colorScale(d["Training Loss"]));
return svg.node();
}
data = FileAttachment("penguins.csv").csv({typed: true})
height = 400
x = d3.scaleLinear()
.domain(d3.extent(simulation_data, d => d.X)).nice()
.range([margin.left, width - margin.right])
y = d3.scaleLinear()
.domain(d3.extent(simulation_data, d => d.Y)).nice()
.range([height - margin.bottom, margin.top])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x))
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y))
colorScale = d3.scaleLinear().domain([5500,22000])
.interpolate(() => d3.interpolateTurbo)
margin = ({top: 25, right: 20, bottom: 35, left: 40})
Simulation Round 1 Results.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
simulation_data = FileAttachment("Simulation Round 1 Results.csv").csv({typed: true})
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