Published
Edited
Jan 27, 2022
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scale = d3.scaleLinear()
.domain([0,1])
.range([0, 200]);
colorScale = d3.scaleSequential(d3.interpolateYlGn)
.domain([0,10]);
mock = Array.from(Array(10).keys())
{
const width = 500;
const height = 10;
const padding = 2;
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height])
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.style("display", "block");
svg.selectAll('rect')
.data(mock)
.join("rect")
.attr("x", (d, i) => i * (10 + padding))
.attr("y", 0)
.attr("width", 10)
.attr("height", 10)
.attr("fill", d => colorScale(d));
return svg.node();
}
mockdata = ['Alice', 'Bob', 'Jane', 'Doe'];
categorical = {
const categoricalScale = d3.scaleBand()
.domain(mockdata)
.range([200, 300])
return categoricalScale;
}
{
const width = 500;
const height = 10;
const padding = 2;
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height])
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.style("display", "block");
svg.selectAll('rect')
.data(mockdata)
.join("rect")
.attr("x", (d, i) => categorical(d))
.attr("y", 0)
.attr("width", 10)
.attr("height", 10)
.attr("fill", d => 'darkblue');
return svg.node();
}
xAxis = g => g
.call(d3.axisBottom(scale))
.selectAll("text")
.attr("y", 10)
.style("text-anchor", "center")
.style("font-size", "5px")
.style("fill", "#777")
{
const width = 500;
const height = 20;
const svg = d3.create("svg")
.attr("viewBox", [0, 0, width, height]);
svg.append("g").attr("transform", `translate(${10},${0})`).call(xAxis);
return svg.node();
}
matrixdata
Before we begin, we will define the margins for our chart. This is important to make sure that every element in our visualization will be rendered correctly.
teams_data = Array.from(new Set(matrixdata.map( entry => entry.team))).sort();
teamsBand = d3.scaleBand()
.paddingInner(0.1)
.paddingOuter(0.0)
.domain(teams_data)
.range([0, size.width]);
teamsAxis = g => g
.call(d3.axisBottom(teamsBand).tickSizeOuter(0))
.call(g => g.select(".domain").remove())
.call(g => g.selectAll(".tick")
.attr("stroke-width", 0.5)
.attr("stroke-color", "light")
)
.selectAll("text")
.attr("y", 0)
.attr("x", -9)
.attr("dy", ".35em")
.attr("transform", "rotate(270)")
.style("text-anchor", "end")
.style("font-size", "10px")
.style("fill", "#777")
labels_data = Array.from(new Set(matrixdata.map( entry => entry.key))).sort();
labelsBand = d3.scaleBand()
.paddingInner(0.1)
.paddingOuter(0.0)
.domain(labels_data)
.range([0, size.height - margins.top - margins.bottom])
yLabels = g => g
.call(d3.axisLeft(labelsBand).tickSizeOuter(0))
.call(g => g.select(".domain").remove())
.call(g => g.selectAll(".tick")
.attr("stroke-width", 0.5)
.attr("stroke-color", "light")
)
.selectAll("text")
.attr("y", 0)
.attr("x", -9)
.style("font-size", "10px")
.style("fill", "#777")
minMax ={
const values = matrixdata.map( entry => entry.value)
return d3.extent(values);
}
cScale = d3.scaleSequential(d3.interpolateYlGnBu)
.domain(minMax);
render_data = (group, data) => {
group
.selectAll('rect')
.data(data)
.join(
enter => enter
.append('rect')
.attr("x", d => teamsBand(d.team))
.attr("y", d => labelsBand(d.key))
.attr("width", teamsBand.bandwidth())
.attr("height", labelsBand.bandwidth())
.attr("fill", d => cScale(d.value)),
update => update.attr("fill", d => 'gray'),
exit => exit.attr("fill", d => 'green')
)
}
{
const svg = d3.select(DOM.svg(size.width, size.height));
svg.append("g").attr("transform", `translate(${margins.left}, ${size.height - 80})`).call(teamsAxis);
svg.append("g").attr("transform", `translate(${margins.left},${margins.top})`).call(yLabels);
const chartGroup = svg.append("g").attr("transform", `translate(${margins.left},${margins.top})`);
render_data(chartGroup, matrixdata);
// render_data(chartGroup, matrixdata.slice(0, 10));
return svg.node();
}
d3 = require("d3")
matches = {
const scsv = d3.dsvFormat(",") // Important to define the separator of your CSV file
return scsv.parse(await FileAttachment('premierleague1819.csv').text())
}
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