dataSet
Type Table, then Shift-Enter. Ctrl-space for more options.
meanDataSet
Type Table, then Shift-Enter. Ctrl-space for more options.
estimateNValue = meanDataSet[0].n
mathematicNValue = {
const max = d3.max(target),
size = target.length;
const n = max + max / size - 1;
return n;
}
meanDataSet = {
const data = [];
for (let n = nRange[0]; n < nRange[1]; ++n) {
data.push({
n,
diff: d3.mean(dataSet.filter((d) => d.n === n).map((d) => d.diff))
});
}
data.sort((a, b) => a.diff - b.diff);
return data;
}
dataSet = {
const data = [];
for (let n = nRange[0]; n < nRange[1]; ++n) {
for (let i = 0; i < trialRepeat; ++i) {
data.push({ m: mValue, n, d: selectMFromN(mValue, n) });
}
}
data.map((d) => {
d.diff = d3.mean(target.map((t, i) => Math.pow(t - d.d[i], 2)));
});
return data;
}
target = selectMFromN(mValue, targetNValue)
nRange = [50, 400]
/**
* Select m elements out of n-length array
**/
selectMFromN = (m, n) => {
const total = [...Array(n).keys()];
d3.shuffle(total);
const output = total.slice(0, m).sort((a, b) => a - b);
return output;
}
d3 = require("d3")
width = 800
height = (width * 9) / 16
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.
