In New Zealand being kid of human.
We might make mistakes but we will make other things too. -
Michael Joseph Savage
Published unlisted
Edited
Feb 4, 2021
chart = {
const zoom = d3.zoom()
.scaleExtent([1, 50])
.on("zoom", zoomed);
const svg = d3.create("svg")
.attr("viewBox", [0, 0, mywidth, height]);
const gGrid = svg.append("g");
const gDot = svg.append("g")
.attr("fill", "none")
.attr("stroke-linecap", "round");
gDot.selectAll("path")
.data(topInfluencers)
.join("path")
.attr("d", d => `M${x(d["Con followers"])},${y(d["Lab followers"])}h0`)
.attr("stroke", d => z([d["Lab followers"], d["Con followers"]]))
.attr("stroke-width", d=> Math.sqrt(area(d["MP followers"])))
.attr("stroke-opacity", d=> opacity(d["MP followers"]))
const gx = svg.append("g");
const gy = svg.append("g");
svg.call(zoom).call(zoom.transform, d3.zoomIdentity);
function zoomed({transform}) {
const zx = transform.rescaleX(x).interpolate(d3.interpolateRound);
const zy = transform.rescaleY(y).interpolate(d3.interpolateRound);
gDot.attr("transform", transform).attr("stroke-width", Math.sqrt(area(transform.k)));
gx.call(xAxis, zx);
gy.call(yAxis, zy);
gGrid.call(grid, zx, zy);
}
return Object.assign(svg.node(), {
reset() {
svg.transition()
.duration(750)
.call(zoom.transform, d3.zoomIdentity);
}
});
}
reset, chart.reset()
tooltip = {
chart
const tooltip =
d3.select('body').append('div')
.attr('class', 'tooltip')
.style('position', 'absolute')
.style('visibility', 'hidden')
d3.selectAll("path")
.on("mouseover", function(e, d){
d3.select(this).transition()
.attr("stroke-width", d=> 1.3 * Math.sqrt(area(d["MP followers"])))
.attr("stroke-opacity", 1)
})
.on("mousemove", function(e, d){
return tooltip.html(`\
<b>Name:</b> ${d.Name}
<b>MP followers:</b> ${d["MP followers"]}
<b>Con followers:</b> ${d["Con followers"]}
<b>Lab followers:</b> ${d["Lab followers"]}
<b>Click to visit ${d.Name}.</b>`)
.style("top", (e.pageY-10)+"px")
.style("left",(e.pageX+20)+"px")
.style("visibility", "visible");
})
.on("mouseout", function(e, d){
d3.select(this).transition()
.attr("stroke-width", d=> Math.sqrt(area(d["MP followers"])))
.attr("stroke-opacity", d=> opacity(d["MP followers"]))
return tooltip.html(``).style("visibility", "hidden");
})
.on("click", function(e, d) {
d3.select(this).transition()
window.open("https://twitter.com/"+d.Name);
})
}
data = FileAttachment("Influencers.csv").csv()
data.forEach(d => {
d["Con followers"] = Number(d["Con followers"])
d["Lab followers"] = Number(d["Lab followers"])
d["MP followers"] = Number(d["MP followers"])
d["P_con_mp"] = Number(d["P_con_mp"])
d["P_lab_mp"] = Number(d["P_lab_mp"])
d["Colour"] = Number(d["P_lab_mp - P_con_mp"])
})
topInfluencers = data.filter(d =>{
return (d["MP followers"] > 10)
})
x = d3.scaleLinear()
.domain([0, 318])
.range([0, mywidth])
y = d3.scaleLinear()
.domain([0, 195])
.range([height, 0])
z = d3.scaleBivariate()
d3.scaleBivariate = function() {
function scaleBivariate(value) {
var r = reds(value[0]);
var b = blues(value[1]);
return "rgb("+r+","+0+","+b+")";
}
var blues = d3.scaleLinear()
.range([55, 355]) // higher second value means brighter colours
.domain([0, 318/1.2]);
var reds = d3.scaleLinear()
.range([55, 355])
.domain([0,195/1.2]);
return scaleBivariate;
}
opacity = d3.scaleLinear()
.range([0, 1])
.domain([0, 513])
area = d3.scaleLinear()
.range([0, 500])
.domain([0, 513])
xAxis = (g, x) => g
.attr("transform", `translate(0,${height})`)
.call(d3.axisTop(x).ticks(12))
.call(g => g.select(".domain").attr("display", "none"))
yAxis = (g, y) => g
.call(d3.axisRight(y).ticks(12 * k))
.call(g => g.select(".domain").attr("display", "none"))
grid = (g, x, y) => g
.attr("stroke", "currentColor")
.attr("stroke-opacity", 0.1)
.call(g => g
.selectAll(".x")
.data(x.ticks(12))
.join(
enter => enter.append("line").attr("class", "x").attr("y2", height),
update => update,
exit => exit.remove()
)
.attr("x1", d => 0.5 + x(d))
.attr("x2", d => 0.5 + x(d)))
.call(g => g
.selectAll(".y")
.data(y.ticks(12 * k))
.join(
enter => enter.append("line").attr("class", "y").attr("x2", mywidth),
update => update,
exit => exit.remove()
)
.attr("y1", d => 0.5 + y(d))
.attr("y2", d => 0.5 + y(d)));
k = height / mywidth
mywidth = 600
height = 600
d3 = require("d3@6")
html`
<style>
:root {
--text: hsl(153, 73%, 97%);
}
.axis line,
.axis path {
stroke: var(--text);
}
.axis text {
color: var(--text);
transform: rotate(45deg);
}
.circle {
fill: hsla(154, 75%, 86%, 0.8);
stroke: hsla(154, 75%, 86%, 1);
}
.tooltip {
font-family: -apple-system, system-ui, BlinkMacSystemFont, "Segoe UI", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji", "Segoe UI Symbol";
background: rgba(69,77,93,.9);
border-radius: .1rem;
color: #fff;
display: block;
font-size: 11px;
max-width: 320px;
padding: .2rem .4rem;
position: absolute;
text-overflow: ellipsis;
white-space: pre;
z-index: 300;
visibility: hidden;
}
.tooltip p {
margin: 0;
padding: 0;
}
.label {
font-family: verdana;
fill: hsl(153, 73%, 97%);
}
</style>
`
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.
