chart = {
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
svg.append("g")
.selectAll("g")
.data(series)
.join("g")
.attr("fill", d => color(d.key))
.selectAll("rect")
.data(d => d)
.join("rect")
.attr("x", (d, i) => x(d.data.name))
.attr("y", d => y(d[1]))
.attr("height", d => y(d[0]) - y(d[1]))
.attr("width", x.bandwidth())
svg.append("g")
.call(xAxis);
svg.append("g")
.call(yAxis);
return svg.node();
}
data = [
{name: 'children and youth', 'children': 20, 'youth': 35, total: 55},
{name: 'the elderly', 'elderly': 30, 'elderly in poverty': 25, total: 55 },
{name: 'marginalized groups', 'low income': 20, 'women': 20, 'EM': 12,total: 52 },
{name: 'community and health care', 'community': 20, 'local small producers': 10, 'community health': 18,total: 48 },
{name: 'people with disability', 'physical disability': 10, 'SENs': 12, 'visual impairments': 18,'hearing impairments': 13,'mental illness': 5,total: 58 },
]
columns = ['children', 'youth', 'elderly', 'elderly in poverty','low income','women','EM','community','local small producers','community health','physical disability','SENs','visual impairments','hearing impairments','mental illness']
series = d3.stack().keys(columns)(data)
x = d3.scaleBand()
.domain(data.map(d => d.name))
.range([margin.left, width - margin.right])
.padding(0.1)
y = d3.scaleLinear()
.domain([0, d3.max(series, d => d3.max(d, d => d[1]))])
.rangeRound([height - margin.bottom, margin.top])
color = d3.scaleOrdinal()
.domain(series.map(d => d.key))
.range(['#98abc5', '#8a89a6', '#7b6888', '#6b486b', '#a05d56','#a02d56','#a11356','#006400','#008000','#228B22','#0000FF','#4169E1',' #0d98ba','#b0c4de','#add8e6','#0030FF' ])
xAxis = g => g
.attr("transform", `translate(0,${height - margin.bottom})`)
.call(d3.axisBottom(x).tickSizeOuter(0))
.call(g => g.selectAll(".domain").remove())
yAxis = g => g
.attr("transform", `translate(${margin.left},0)`)
.call(d3.axisLeft(y).ticks(null, "s"))
.call(g => g.selectAll(".domain").remove())
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