Inputs.table(data)
categoriesTable
Type Table, then Shift-Enter. Ctrl-space for more options.
chart.zoomTo(coord.x, coord.y, 10)
data.filter(d => d.cluster === 0)
x = d3.scaleLinear()
.domain([-100, 100])
.range([0, width])
xAxis = (g, x) => g
.attr("transform", `translate(0,${height})`)
.call(d3.axisTop(x).ticks(12))
.call(g => g.select(".domain").attr("display", "none"))
y = d3.scaleLinear()
.domain([-70, 70])
.range([height, 0])
yAxis = (g, y) => g
.call(d3.axisRight(y).ticks(12))
.call(g => g.select(".domain").attr("display", "none"))
z = d3.scaleOrdinal()
.domain(categoriesDomain)
.range(d3.schemeCategory10)
categoriesDomain = [...new Set(categoriesTable.map(d => d.category))].sort()
findCategory = cluster => categoriesTable[cluster].category
height = 600
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.
