<script>
// set the dimensions and margins of the graph
const margin = {top: 10, right: 30, bottom: 20, left: 50},
width = 460 - margin.left - margin.right,
height = 400 - margin.top - margin.bottom;
// append the svg object to the body of the page
const svg = d3.select("#my_dataviz")
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform",`translate(${margin.left},${margin.top})`);
// Parse the Data
d3.csv("https://raw.githubusercontent.com/holtzy/D3-graph-gallery/master/DATA/data_stacked.csv").then( function(data) {
// List of subgroups = header of the csv files = soil condition here
const subgroups = data.columns.slice(1)
// List of groups = species here = value of the first column called group -> I show them on the X axis
const groups = data.map(d => d.group)
console.log(data)
// Add X axis
const x = d3.scaleBand()
.domain(groups)
.range([0, width])
.padding([0.2])
svg.append("g")
.attr("transform", `translate(0, ${height})`)
.call(d3.axisBottom(x).tickSize(0));
// Add Y axis
const y = d3.scaleLinear()
.domain([0, 40])
.range([ height, 0 ]);
svg.append("g")
.call(d3.axisLeft(y));
// Another scale for subgroup position?
const xSubgroup = d3.scaleBand()
.domain(subgroups)
.range([0, x.bandwidth()])
.padding([0.05])
// color palette = one color per subgroup
const color = d3.scaleOrdinal()
.domain(subgroups)
.range(['#e41a1c','#377eb8','#4daf4a'])
// Show the bars
svg.append("g")
.selectAll("g")
// Enter in data = loop group per group
.data(data)
.join("g")
.attr("transform", d => `translate(${x(d.group)}, 0)`)
.selectAll("rect")
.data(function(d) { return subgroups.map(function(key) { return {key: key, value: d[key]}; }); })
.join("rect")
.attr("x", d => xSubgroup(d.key))
.attr("y", d => y(d.value))
.attr("width", xSubgroup.bandwidth())
.attr("height", d => height - y(d.value))
.attr("fill", d => color(d.key));
})
</script>