Public
Edited
Nov 27, 2023
viewof step = Inputs.range([0,500000],{step:1})
Type JavaScript, then Shift-Enter. Ctrl-space for more options. Arrow ↑/↓ to switch modes.
Plot.plot({
x:{domain:[0,10]},
y:{domain:[0,20]},
marks:[
Plot.ruleX([0]),
Plot.ruleY([0]),
Plot.dot(X,{x:X,y:Y,r:5,fill:'black'}),
Plot.line(x,{x:x,y:y,stroke:'red'}),
Plot.dot(X2,{x:X2,y:Y2,r:5,fill:'blue'}),
]
})
f = x => a*x**2+b*x+c
x = {
const x = []
for(let i = 0; i <= 10; i = i + .1){
x.push(i)
}
return x
}
y = x.map(x => f(x))
X = [3,7,9]
Y = X.map((X,i) => 2*X+1 + error[i])
error = X.map(X => d3.randomNormal(0,3)())
loss = (9*a+3*b + c -3.8630544814190437)**2 + (49*a+7*b+c -14.496780640129042)**2 + (81*a+9*b+c-14.538659411550247)**2
lossPrimea = (a,b) => 196*a+28*b-46
lossPrimeb = (a,b) =>28*a+6*b-18
lossPrimec = (a,b,c) =>278*a + 38*b + 6.000000000000000*c - 65.79698906619667
X2 = [1,6,10]
error2 = X.map(X => d3.randomNormal(0,3)())
Y2 = X.map((X,i) => 2*X+1 + error[i])
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.
