Skip to content

Instantly share code, notes, and snippets.

@juanprq
Last active November 23, 2016 15:09
Show Gist options
  • Star 0 You must be signed in to star a gist
  • Fork 0 You must be signed in to fork a gist
  • Save juanprq/334022f178debf3001d2c534926391d0 to your computer and use it in GitHub Desktop.
Save juanprq/334022f178debf3001d2c534926391d0 to your computer and use it in GitHub Desktop.
Multi-Line Voronoi with colors
license: gpl-3.0
<!DOCTYPE html>
<meta charset="utf-8">
<style>
.axis--y path {
display: none;
}
.cities {
fill: none;
stroke-linejoin: round;
stroke-linecap: round;
stroke-width: 1.5px;
}
.focus text {
text-anchor: middle;
text-shadow: 0 1px 0 #fff, 1px 0 0 #fff, 0 -1px 0 #fff, -1px 0 0 #fff;
}
.voronoi path {
fill: none;
pointer-events: all;
}
.voronoi--show path {
stroke: red;
stroke-opacity: 0.2;
}
#form {
position: absolute;
top: 20px;
right: 30px;
}
</style>
<svg width="960" height="500"></svg>
<label id="form" for="show-voronoi">
Show Voronoi
<input type="checkbox" id="show-voronoi" disabled>
</label>
<script src="//d3js.org/d3.v4.min.js"></script>
<script>
var months,
monthKeys,
monthParse = d3.timeParse("%Y-%m");
var svg = d3.select("svg"),
margin = {top: 20, right: 30, bottom: 30, left: 40},
width = svg.attr("width") - margin.left - margin.right,
height = svg.attr("height") - margin.top - margin.bottom,
g = svg.append("g").attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var x = d3.scaleTime()
.range([0, width]);
var y = d3.scaleLinear()
.range([height, 0]);
var z = d3.scaleOrdinal(d3.schemeCategory10);
var voronoi = d3.voronoi()
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.value); })
.extent([[-margin.left, -margin.top], [width + margin.right, height + margin.bottom]]);
var line = d3.line()
.x(function(d) { return x(d.date); })
.y(function(d) { return y(d.value); });
d3.tsv("unemployment.tsv", type, function(error, data) {
if (error) throw error;
x.domain(d3.extent(months));
y.domain([0, d3.max(data, function(c) { return d3.max(c.values, function(d) { return d.value; }); })]).nice();
z.domain(data.map(function(d) { return d.name; }))
g.append("g")
.attr("class", "axis axis--x")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x));
g.append("g")
.attr("class", "axis axis--y")
.call(d3.axisLeft(y).ticks(10, "%"))
.append("text")
.attr("x", 4)
.attr("y", 0.5)
.attr("dy", "0.32em")
.style("text-anchor", "start")
.style("fill", "#000")
.style("font-weight", "bold")
.text("Unemployment Rate");
g.append("g")
.attr("class", "cities")
.selectAll("path")
.data(data)
.enter().append("path")
.attr("d", function(d) { d.line = this; return line(d.values); })
.style("stroke", function(d) { return z(d.name); });
var focus = g.append("g")
.attr("transform", "translate(-100,-100)")
.attr("class", "focus");
focus.append("circle")
.attr("r", 3.5);
focus.append("text")
.attr("y", -10);
var voronoiGroup = g.append("g")
.attr("class", "voronoi");
voronoiGroup.selectAll("path")
.data(voronoi.polygons(d3.merge(data.map(function(d) { return d.values; }))))
.enter().append("path")
.attr("d", function(d) { return d ? "M" + d.join("L") + "Z" : null; })
.on("mouseover", mouseover)
.on("mouseout", mouseout);
d3.select("#show-voronoi")
.property("disabled", false)
.on("change", function() { voronoiGroup.classed("voronoi--show", this.checked); });
function mouseover(d) {
d3.select(d.data.city.line)
.style('stroke-width', 3)
.style('stroke', d3.hsl(z(d.data.city.name)).brighter(1));
d.data.city.line.parentNode.appendChild(d.data.city.line);
focus.attr("transform", "translate(" + x(d.data.date) + "," + y(d.data.value) + ")");
focus.select("text").text(d.data.city.name + ': ' + d.data.value);
}
function mouseout(d) {
d3.select(d.data.city.line)
.style("stroke-width", 1.5)
.style('stroke', z(d.data.city.name));
focus.attr("transform", "translate(-100,-100)");
}
});
function type(d, i, columns) {
if (!months) monthKeys = columns.slice(1), months = monthKeys.map(monthParse);
var c = {name: d.name.replace(/ (msa|necta div|met necta|met div)$/i, ""), values: null};
c.values = monthKeys.map(function(k, i) { return {city: c, date: months[i], value: d[k] / 100}; });
return c;
}
</script>
GENERATED_FILES = \
unemployment.tsv
.PHONY: all clean
all: $(GENERATED_FILES)
clean:
rm -rf -- $(GENERATED_FILES)
# http://www.bls.gov/lau/metrossa.htm
build/ssamatab2.txt:
mkdir -p build
curl -o $@ 'http://www.bls.gov/lau/ssamatab2.txt'
unemployment.tsv: process-data build/ssamatab2.txt
./process-data build/ssamatab2.txt > $@
{
"name": "anonymous",
"version": "0.0.1",
"private": true,
"devDependencies": {
"d3": "3"
}
}
#!/usr/bin/env node
var fs = require("fs"),
d3 = require("d3");
// Parse lines.
var lines = fs.readFileSync(process.argv[2], "utf8").split(/[\r\n]+/);
// Parse fixed-width columns.
var data = lines.filter(function(d, i) {
return i >= 3 && i <= lines.length - 4;
}).map(function(line) {
var fields = line.split(/\s{2,}/), i = -1;
return {
"LAUS Code": fields[++i],
"State FIPS Code": fields[++i],
"Area FIPS Code": fields[++i],
"Area": fields[++i],
"Year": fields[++i],
"Month": fields[++i],
"Civilian Labor Force": +fields[++i].replace(/,/g, ""),
"Employment": +fields[++i].replace(/,/g, ""),
"Unemployment": +fields[++i].replace(/,/g, ""),
"Unemployment Rate": +fields[++i]
};
});
// Extract the available dates.
var dates = d3.set(data.map(function(d) { return d["Year"] + "-" + d["Month"]; })).values().sort();
// Nest unemployment rate by area and date.
var rateByNameAndDate = d3.nest()
.key(function(d) { return d["Area"]; })
.key(function(d) { return d["Year"] + "-" + d["Month"]; })
.rollup(function(v) { return v[0]["Unemployment Rate"]; }) // leaf nest is unique
.map(data, d3.map);
// Recast data into a wide table.
var rows = rateByNameAndDate.entries().sort(function(a, b) { return d3.ascending(a.key, b.key); }).map(function(area) {
return [area.key].concat(dates.map(function(d) {
return area.value.get(d);
}));
});
process.stdout.write(d3.tsv.formatRows([["name"].concat(dates)].concat(rows)));
name 2000-01 2000-02 2000-03 2000-04 2000-05 2000-06 2000-07 2000-08 2000-09 2000-10 2000-11 2000-12 2001-01 2001-02 2001-03 2001-04 2001-05 2001-06 2001-07 2001-08 2001-09 2001-10 2001-11 2001-12 2002-01 2002-02 2002-03 2002-04 2002-05 2002-06 2002-07 2002-08 2002-09 2002-10 2002-11 2002-12 2003-01 2003-02 2003-03 2003-04 2003-05 2003-06 2003-07 2003-08 2003-09 2003-10 2003-11 2003-12 2004-01 2004-02 2004-03 2004-04 2004-05 2004-06 2004-07 2004-08 2004-09 2004-10 2004-11 2004-12 2005-01 2005-02 2005-03 2005-04 2005-05 2005-06 2005-07 2005-08 2005-09 2005-10 2005-11 2005-12 2006-01 2006-02 2006-03 2006-04 2006-05 2006-06 2006-07 2006-08 2006-09 2006-10 2006-11 2006-12 2007-01 2007-02 2007-03 2007-04 2007-05 2007-06 2007-07 2007-08 2007-09 2007-10 2007-11 2007-12 2008-01 2008-02 2008-03 2008-04 2008-05 2008-06 2008-07 2008-08 2008-09 2008-10 2008-11 2008-12 2009-01 2009-02 2009-03 2009-04 2009-05 2009-06 2009-07 2009-08 2009-09 2009-10 2009-11 2009-12 2010-01 2010-02 2010-03 2010-04 2010-05 2010-06 2010-07 2010-08 2010-09 2010-10 2010-11 2010-12 2011-01 2011-02 2011-03 2011-04 2011-05 2011-06 2011-07 2011-08 2011-09 2011-10 2011-11 2011-12 2012-01 2012-02 2012-03 2012-04 2012-05 2012-06 2012-07 2012-08 2012-09 2012-10 2012-11 2012-12 2013-01 2013-02 2013-03 2013-04 2013-05 2013-06 2013-07 2013-08 2013-09 2013-10
Bethesda-Rockville-Frederick, MD Met Div 2.6 2.6 2.6 2.6 2.7 2.7 2.7 2.6 2.6 2.6 2.6 2.6 2.7 2.7 2.8 2.8 2.9 3 3.1 3.3 3.4 3.5 3.5 3.6 3.6 3.6 3.6 3.6 3.6 3.5 3.5 3.4 3.4 3.4 3.4 3.4 3.4 3.4 3.4 3.4 3.4 3.4 3.4 3.3 3.3 3.3 3.3 3.3 3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.2 3.3 3.3 3.3 3.3 3.2 3.2 3.1 3.1 3 3 3 2.9 2.9 2.8 2.8 2.8 2.8 2.9 3 3 3 2.9 2.9 2.9 2.9 2.8 2.8 2.7 2.7 2.6 2.6 2.6 2.6 2.6 2.6 2.6 2.5 2.5 2.6 2.7 2.8 2.9 3.1 3.2 3.4 3.6 3.9 4.2 4.5 4.9 5.2 5.5 5.7 5.8 5.9 6 6 6.1 6.2 6.2 6.3 6.3 6.3 6.2 6.1 6 5.9 5.9 5.9 5.9 5.9 5.8 5.8 5.7 5.6 5.5 5.5 5.5 5.6 5.6 5.6 5.6 5.5 5.4 5.4 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.3 5.2 5.2 5.2 5.2 5.2 5.2 5.1 5.2 5.3 5.5 5.5 5.3 5.2 5.2
Boston-Cambridge-Quincy, MA NECTA Div 2.7 2.6 2.6 2.5 2.4 2.4 2.3 2.3 2.3 2.3 2.3 2.4 2.5 2.6 2.8 2.9 3 3.2 3.4 3.6 3.8 4 4.2 4.4 4.6 4.7 4.8 4.9 4.9 5 5 5 5.1 5.1 5.2 5.2 5.3 5.3 5.4 5.4 5.5 5.6 5.6 5.6 5.5 5.4 5.3 5.2 5.1 5.1 5 4.9 4.9 4.8 4.7 4.6 4.5 4.5 4.4 4.4 4.4 4.4 4.4 4.3 4.3 4.2 4.2 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.3 4.2 4.2 4.2 4.2 4.1 4.1 4.1 4 4 3.9 3.9 3.9 3.9 3.9 3.9 3.9 3.9 3.9 4 4.1 4.2 4.3 4.5 4.7 4.8 5 5.3 5.6 5.9 6.2 6.5 6.7 6.9 7.1 7.3 7.4 7.5 7.6 7.6 7.6 7.6 7.6 7.5 7.5 7.4 7.3 7.2 7.1 7 7 6.9 6.9 6.8 6.6 6.5 6.4 6.3 6.3 6.2 6.2 6.1 6.1 6 5.9 5.8 5.7 5.7 5.6 5.6 5.6 5.6 5.6 5.6 5.6 5.6 5.6 5.6 5.6 5.5 5.4 5.5 5.6 5.9 6 6 5.9 6
Boston-Cambridge-Quincy, MA-NH Met NECTA 2.8 2.7 2.7 2.6 2.6 2.5 2.5 2.5 2.4 2.4 2.5 2.5 2.6 2.8 2.9 3.1 3.2 3.4 3.6 3.8 4.1 4.3 4.5 4.7 4.9 5 5.1 5.2 5.2 5.3 5.3 5.4 5.4 5.5 5.5 5.5 5.6 5.6 5.6 5.7 5.8 5.8 5.9 5.8 5.8 5.7 5.6 5.5 5.4 5.3 5.2 5.2 5.1 5 4.9 4.9 4.8 4.7 4.7 4.6 4.6 4.6 4.6 4.5 4.5 4.4 4.4 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.5 4.4 4.4 4.4 4.4 4.4 4.3 4.3 4.2 4.2 4.2 4.1 4.1 4.1 4.1 4.1 4.1 4.1 4.1 4.1 4.2 4.3 4.4 4.5 4.7 4.9 5.1 5.3 5.5 5.8 6.1 6.5 6.8 7.1 7.3 7.5 7.7 7.8 7.9 8 8 8 8 8 7.9 7.9 7.8 7.6 7.5 7.4 7.3 7.3 7.2 7.2 7.1 6.9 6.8 6.8 6.7 6.6 6.6 6.6 6.5 6.5 6.4 6.3 6.2 6.1 6.1 6.1 6 6 6.1 6.1 6.1 6.1 6.1 6.1 6.1 6.1 5.9 5.9 5.9 6 6.3 6.3 6.3 6.2 6.3
Brockton-Bridgewater-Easton, MA NECTA Div 3 3 2.9 2.9 2.8 2.8 2.8 2.8 2.8 2.8 2.9 2.9 3.1 3.2 3.3 3.4 3.5 3.6 3.8 3.9 4.1 4.3 4.4 4.6 4.8 4.9 5 5.1 5.2 5.3 5.3 5.4 5.4 5.5 5.6 5.6 5.7 5.8 5.9 6 6.1 6.2 6.2 6.3 6.2 6.2 6.1 6.1 6 5.9 5.9 5.9 5.8 5.7 5.7 5.6 5.5 5.5 5.4 5.4 5.4 5.3 5.3 5.3 5.2 5.2 5.2 5.3 5.3 5.4 5.3 5.3 5.3 5.2 5.2 5.3 5.3 5.3 5.4 5.3 5.3 5.3 5.3 5.2 5.2 5.1 5.1 5.1 5 5 5 5 5 5.1 5.1 5.1 5.2 5.2 5.3 5.4 5.6 5.8 6 6.2 6.5 6.8 7.1 7.5 7.9 8.2 8.5 8.7 8.9 9.1 9.3 9.5 9.6 9.7 9.8 9.9 9.9 9.9 9.9 9.8 9.6 9.5 9.4 9.4 9.3 9.3 9.2 9.1 9 8.8 8.7 8.6 8.5 8.5 8.4 8.4 8.3 8.2 8.1 7.9 7.8 7.7 7.7 7.7 7.7 7.7 7.7 7.6 7.5 7.5 7.5 7.4 7.4 7.2 7.1 7.2 7.4 7.8 7.9 7.9 7.7 7.8
Camden, NJ Met Div 3.6 3.6 3.5 3.5 3.4 3.4 3.5 3.5 3.6 3.6 3.6 3.5 3.5 3.5 3.5 3.6 3.7 3.8 3.9 4.1 4.3 4.5 4.6 4.8 5 5.1 5.2 5.3 5.4 5.4 5.4 5.4 5.5 5.5 5.5 5.6 5.6 5.6 5.5 5.6 5.6 5.6 5.6 5.5 5.4 5.3 5.2 5.2 5.1 5.1 5 5 4.9 4.8 4.7 4.6 4.5 4.4 4.4 4.3 4.3 4.3 4.2 4.2 4.2 4.1 4.2 4.3 4.4 4.5 4.6 4.7 4.7 4.7 4.7 4.8 4.8 4.9 4.8 4.8 4.7 4.6 4.5 4.4 4.3 4.3 4.2 4.2 4.3 4.3 4.3 4.4 4.4 4.5 4.6 4.7 4.7 4.8 4.8 4.9 5.1 5.2 5.4 5.7 5.9 6.3 6.7 7.1 7.6 8 8.4 8.7 9 9.2 9.4 9.6 9.7 9.9 10 10.1 10.2 10.2 10.2 10.1 10 10 9.9 9.9 10 10 10 10 9.9 9.8 9.7 9.7 9.7 9.8 9.8 9.9 9.8 9.8 9.7 9.7 9.6 9.7 9.8 9.9 10 10 10.1 10.1 10.1 10.1 10.1 10.1 9.9 9.7 9.4 9.1 9 9 8.8 8.7 8.7 8.6
Chicago-Joliet-Naperville, IL Met Div 4.4 4.4 4.4 4.4 4.5 4.5 4.5 4.5 4.5 4.5 4.7 4.9 5.1 5.3 5.4 5.4 5.4 5.4 5.5 5.6 5.8 6 6.2 6.4 6.6 6.7 6.8 6.9 7 7 7 7 7 7 7 6.9 6.9 6.8 6.8 6.9 7 7.1 7.2 7.2 7.1 7 6.8 6.6 6.5 6.4 6.3 6.3 6.3 6.3 6.3 6.3 6.3 6.3 6.3 6.3 6.3 6.3 6.3 6.3 6.2 6.2 6.1 6 5.8 5.7 5.5 5.3 5.1 4.9 4.7 4.5 4.5 4.4 4.4 4.3 4.2 4.2 4.2 4.3 4.3 4.4 4.6 4.7 4.8 4.9 5 5.1 5.1 5.2 5.2 5.2 5.2 5.3 5.4 5.6 5.9 6.1 6.3 6.4 6.5 6.9 7.1 7.4 7.9 8.5 9.1 9.5 9.9 10.2 10.4 10.7 10.9 11.1 11.2 11.3 11.2 11.1 10.9 10.7 10.5 10.4 10.2 10.1 10 9.9 9.7 9.5 9.4 9.3 9.4 9.6 9.8 10.2 10.4 10.5 10.5 10.3 9.9 9.5 9.2 8.9 8.8 8.7 8.8 8.9 8.9 8.9 8.9 8.9 8.9 8.9 9 9.4 9.5 9.4 9.3 9.4 9.4 9.4 9.3 9.1
Chicago-Joliet-Naperville, IL-IN-WI MSA 4.1 4.2 4.2 4.2 4.3 4.3 4.3 4.4 4.4 4.5 4.6 4.7 4.9 5 5.1 5.1 5.2 5.2 5.3 5.5 5.7 5.9 6.1 6.3 6.5 6.6 6.7 6.7 6.8 6.8 6.8 6.8 6.8 6.8 6.8 6.7 6.7 6.7 6.6 6.7 6.8 6.9 7 7 6.9 6.8 6.7 6.5 6.4 6.3 6.2 6.2 6.2 6.2 6.2 6.2 6.2 6.2 6.2 6.2 6.2 6.2 6.1 6.1 6.1 6 5.9 5.8 5.8 5.6 5.5 5.3 5.1 4.9 4.7 4.6 4.5 4.4 4.4 4.4 4.4 4.4 4.4 4.4 4.5 4.6 4.6 4.7 4.7 4.8 4.9 5 5.1 5.2 5.3 5.3 5.3 5.3 5.4 5.6 5.8 6 6.2 6.3 6.5 6.8 7.1 7.6 8.1 8.7 9.2 9.7 10 10.2 10.3 10.5 10.7 10.9 11.1 11.3 11.3 11.3 11.1 10.9 10.6 10.4 10.2 10 9.9 9.8 9.7 9.6 9.5 9.4 9.5 9.6 9.8 10 10.2 10.2 10.1 10 9.7 9.5 9.2 9 8.9 8.8 8.8 8.8 8.8 8.8 8.8 8.8 8.8 8.8 9.1 9.6 9.7 9.6 9.4 9.4 9.3 9.2 9 8.8
Dallas-Fort Worth-Arlington, TX MSA 3.7 3.7 3.7 3.7 3.6 3.6 3.6 3.6 3.5 3.5 3.4 3.4 3.5 3.6 3.8 4 4.2 4.5 4.7 5 5.3 5.6 5.9 6.1 6.3 6.4 6.5 6.5 6.5 6.5 6.5 6.5 6.5 6.6 6.6 6.7 6.7 6.7 6.8 6.8 6.8 6.8 6.8 6.7 6.6 6.4 6.3 6.2 6.1 6.1 6 5.9 5.9 5.8 5.7 5.7 5.7 5.7 5.7 5.6 5.6 5.5 5.4 5.3 5.2 5.1 5.1 5.1 5.1 5.1 5 5 4.9 4.9 4.9 4.9 4.9 4.9 4.9 4.8 4.7 4.6 4.5 4.5 4.4 4.4 4.3 4.3 4.2 4.2 4.2 4.3 4.3 4.4 4.4 4.4 4.4 4.4 4.4 4.5 4.6 4.8 4.9 5.1 5.4 5.6 6 6.3 6.6 6.9 7.2 7.4 7.6 7.8 8 8.1 8.2 8.2 8.3 8.3 8.3 8.3 8.3 8.3 8.2 8.1 8.1 8.1 8.1 8.2 8.2 8.2 8.1 8 8 7.9 7.9 7.9 7.9 7.9 7.8 7.6 7.4 7.3 7.1 7 7 6.9 6.9 6.8 6.7 6.6 6.4 6.3 6.2 6.1 6.2 6.2 6.3 6.3 6.4 6.3 6.2 6 6 6
Dallas-Plano-Irving, TX Met Div 3.7 3.7 3.7 3.7 3.6 3.6 3.6 3.6 3.5 3.5 3.4 3.4 3.5 3.6 3.8 4.1 4.3 4.6 4.9 5.2 5.5 5.9 6.2 6.4 6.5 6.7 6.7 6.7 6.8 6.8 6.7 6.7 6.7 6.8 6.8 6.9 6.9 6.9 7 7 7 7 6.9 6.9 6.7 6.6 6.4 6.3 6.3 6.2 6.1 6.1 6 5.9 5.9 5.8 5.8 5.8 5.8 5.7 5.6 5.6 5.4 5.3 5.2 5.2 5.1 5.1 5.1 5.1 5.1 5.1 5 5 5 5 5 5 4.9 4.8 4.7 4.6 4.5 4.4 4.4 4.3 4.3 4.3 4.2 4.2 4.3 4.3 4.4 4.4 4.4 4.4 4.5 4.5 4.5 4.6 4.7 4.8 5 5.2 5.5 5.7 6.1 6.4 6.7 7 7.2 7.5 7.7 7.9 8 8.1 8.2 8.2 8.2 8.3 8.3 8.3 8.3 8.3 8.2 8.1 8.1 8.1 8.1 8.1 8.2 8.1 8.1 8 8 8 8 8 8 7.9 7.8 7.7 7.5 7.3 7.2 7.1 7.1 7 7 6.9 6.8 6.6 6.5 6.3 6.2 6.1 6.2 6.3 6.3 6.3 6.4 6.4 6.2 6.1 6 6
Detroit-Livonia-Dearborn, MI Met Div 4.1 4.1 4.2 4.2 4.3 4.3 4.3 4.3 4.4 4.5 4.7 5 5.3 5.6 5.7 5.7 5.7 5.7 5.8 6 6.3 6.7 7 7.2 7.3 7.3 7.3 7.3 7.2 7.2 7.1 7.1 7.1 7.3 7.5 7.8 8.1 8.4 8.6 8.7 8.8 8.8 8.7 8.7 8.6 8.4 8.3 8.2 8.1 8.1 8.2 8.3 8.4 8.5 8.7 8.8 9 9.1 9.1 9.1 9.1 9 8.9 8.8 8.7 8.6 8.5 8.4 8.4 8.5 8.5 8.4 8.3 8.2 8.2 8.1 8.2 8.3 8.4 8.5 8.6 8.7 8.6 8.5 8.4 8.3 8.3 8.3 8.4 8.6 8.7 8.9 9 9 8.9 8.8 8.7 8.6 8.7 8.8 9.1 9.4 9.7 10 10.5 11.1 11.9 12.7 13.7 14.5 15.3 15.9 16.3 16.7 16.9 17 16.9 16.7 16.6 16.4 16.2 16 15.7 15.4 15.1 14.8 14.5 14.3 14.1 14 13.7 13.5 13.2 13 12.9 12.9 12.9 12.9 12.8 12.7 12.4 12.2 11.9 11.7 11.5 11.4 11.4 11.4 11.5 11.6 11.7 11.7 11.8 11.8 11.9 12 12 11.8 11.4 11 10.7 10.7 10.5 10.5 10.5 10.4
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment