Published
Edited
Sep 20, 2020
1 star
md`# Bar-Chart-Cell-by-Cell`
md`
The following codes come from Scott Murray's *Interactive Data Visualization for the Web, 2nd Ed.*
`
d3 = require("d3@6")
w = 600
h = 250
dataset = [ 5, 10, 13, 19, 21, 25, 22, 18, 15, 13,
11, 12, 15, 20, 18, 17, 16, 18, 23, 25 ];
xScale = d3.scaleBand()
.domain(d3.range(dataset.length))
.rangeRound([0, w])
.paddingInner(0.05);
yScale = d3.scaleLinear()
.domain([0, d3.max(dataset)])
.range([0, h]);
svg = d3.create("svg")
.attr("width", w)
.attr("height", h);
svg.selectAll("rect")
.data(dataset)
.enter()
.append("rect")
.attr("x", (d, i) => xScale(i))
.attr("y", d => h - yScale(d))
.attr("width", xScale.bandwidth())
.attr("height", d => yScale(d))
.attr("fill", d => "rgb(0, 0, "+ Math.round(d * 10) +")");
svg.node()
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.
