Published
Edited
Jul 15, 2021
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chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);

svg.append("g")
.attr("fill", color)
.selectAll("rect")
.data(data)
.join("rect")
.attr("x", (d, i) => x(i))
.attr("y", d => y(d.value))
.attr("height", d => y(0) - y(d.value))
.attr("width", x.bandwidth())
.on('mouseover', function (e, d, i) {
tooltip
.html(
`<div>Country: ${d.name}</div><div>Value: ${d.value}</div>`
)
.style('visibility', 'visible');
d3.select(this).transition().attr('fill', '#000000');
})
.on('mousemove', function (e) {
tooltip
.style('top', e.pageY - 10 + 'px')
.style('left', e.pageX + 10 + 'px');
})
.on('mouseout', function (e) {
tooltip.html(``).style('visibility', 'hidden');
d3.select(this).transition().attr('fill', color);
});

svg.append("g")
.call(xAxis);

svg.append("g")
.call(yAxis);

return svg.node();
}
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data = Object.assign(d3.csvParse(await FileAttachment("alphabet.csv").text(), ({letter, frequency}) => ({name: letter, value: +frequency})).sort((a, b) => d3.descending(a.value, b.value)), {format: "%", y: "↑ Frequency"})
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x = d3.scaleBand()
.domain(d3.range(data.length))
.range([margin.left, width - margin.right])
.padding(0.1)
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y = d3.scaleLinear()
.domain([0, d3.max(data, d => d.value)]).nice()
.range([height - margin.bottom, margin.top])
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xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).tickFormat(i => data[i].name).tickSizeOuter(0))
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yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).ticks(null, data.format))
.call(g => g.select(".domain").remove())
.call(g => g.append("text")
.attr("x", -margin.left)
.attr("y", 10)
.attr("fill", "currentColor")
.attr("text-anchor", "start")
.text(data.y))
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tooltip = d3
.select('body')
.append('div')
.attr('class', 'd3-tooltip')
.style('position', 'absolute')
.style('z-index', '10')
.style('visibility', 'hidden')
.style('padding', '10px')
.style('background', 'rgba(0,0,0,0.6)')
.style('border-radius', '4px')
.style('color', '#fff')
.text('a simple tooltip');
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color = "steelblue"
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height = 500
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margin = ({top: 30, right: 0, bottom: 30, left: 40})
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d3 = require("d3@6")
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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.
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