Public
Edited
Oct 17, 2023
car-models - data.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
viewof myWidth = Inputs.range([100, 800], { label: "Larghezza", step: 1 })
viewof myHeight = Inputs.range([100, 500], { label: "Altezza", step: 1 })
marginTop = 20
marginBottom = 20
marginLeft = 50
marginRight = 20
yScale = d3.scaleLinear(yExtent, [myHeight - marginBottom, marginTop])
xScale = d3.scaleLinear(xExtent, [marginLeft, myWidth - marginRight])
xExtent = d3.extent(carModelsData, (d) => d["displacement (cc)"])
yExtent = d3.extent(carModelsData, (d) => d["weight (lb)"])
x_axis = d3.axisBottom().scale(xScale)
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.
