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Grouped Bar Chart with Line using d3.js
<!DOCTYPE html>
<meta charset="utf-8">
<style>
body {
font: 10px sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.bar {
fill: steelblue;
}
.x.axis path {
display: none;
}
</style>
<body>
<script src="//d3js.org/d3.v3.min.js"></script>
<script>
function getTextWidth(text, fontSize, fontName) {
c = document.createElement("canvas");
ctx = c.getContext("2d");
ctx.font = fontSize + ' ' + fontName;
return ctx.measureText(text).width;
}
function DataSegregator(array, on) {
var SegData;
OrdinalPositionHolder = {
valueOf: function () {
thisObject = this;
keys = Object.keys(thisObject);
keys.splice(keys.indexOf("valueOf"), 1);
keys.splice(keys.indexOf("keys"), 1);
return keys.length == 0 ? -1 : d3.max(keys, function (d) { return thisObject[d] })
}
, keys: function () {
keys = Object.keys(thisObject);
keys.splice(keys.indexOf("valueOf"), 1);
keys.splice(keys.indexOf("keys"), 1);
return keys;
}
}
array[0].map(function (d) { return d[on] }).forEach(function (b) {
value = OrdinalPositionHolder.valueOf();
OrdinalPositionHolder[b] = OrdinalPositionHolder > -1 ? ++value : 0;
})
SegData = OrdinalPositionHolder.keys().map(function () {
return [];
});
array.forEach(function (d) {
d.forEach(function (b) {
SegData[OrdinalPositionHolder[b[on]]].push(b);
})
});
return SegData;
}
Data = [
{ Date: "2016-06-14", Categories: [{ Name: "Category1", Value: 368 }, { Name: "Category2", Value: 321 }, { Name: "Category3", Value: 524 }], LineCategory: [{ Name: "Line1", Value: 69 }, { Name: "Line2", Value: 63 }] },
{ Date: "2016-06-15", Categories: [{ Name: "Category1", Value: 521 }, { Name: "Category2", Value: 123 }, { Name: "Category3", Value: 653 }], LineCategory: [{ Name: "Line1", Value: 89 }, { Name: "Line2", Value: 96 }] },
{ Date: "2016-06-17", Categories: [{ Name: "Category1", Value: 368 }, { Name: "Category2", Value: 236 }, { Name: "Category3", Value: 537 }], LineCategory: [{ Name: "Line1", Value: 63 }, { Name: "Line2", Value: 35 }] },
{ Date: "2016-06-18", Categories: [{ Name: "Category1", Value: 423 }, { Name: "Category2", Value: 330 }, { Name: "Category3", Value: 689 }], LineCategory: [{ Name: "Line1", Value: 86 }, { Name: "Line2", Value: 45 }] },
{ Date: "2016-06-19", Categories: [{ Name: "Category1", Value: 601 }, { Name: "Category2", Value: 423 }, { Name: "Category3", Value: 490 }], LineCategory: [{ Name: "Line1", Value: 65 }, { Name: "Line2", Value: 63 }] },
{ Date: "2016-06-20", Categories: [{ Name: "Category1", Value: 412 }, { Name: "Category2", Value: 461 }, { Name: "Category3", Value: 321 }], LineCategory: [{ Name: "Line1", Value: 75 }, { Name: "Line2", Value: 85 }] }
]
var margin = { top: 20, right: 30, bottom: 60, left: 40 },
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var textWidthHolder = 0;
/// Adding Date in LineCategory
Data.forEach(function (d) {
d.LineCategory.forEach(function (b) {
b.Date = d.Date;
})
});
var Categories = new Array();
// Extension method declaration
Categories.pro
var Data;
var ageNames;
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var XLine = d3.scale.ordinal()
.rangeRoundPoints([0, width], .1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
var YLine = d3.scale.linear().range([height, 0])
.domain([0, d3.max(Data, function (d) { return d3.max(d.LineCategory, function (b) { return b.Value }) })]);
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var line = d3.svg.line().x(function (d) {
return x0(d.Date) + x0.rangeBand() / 2;
}).y(function (d) { return YLine(d.Value) });
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.tickFormat(d3.format(".2s"));
var YLeftAxis = d3.svg.axis().scale(YLine).orient("right").tickFormat(d3.format(".2s"));
var svg = d3.select("body").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 + ")");
// Bar Data categories
Data.forEach(function (d) {
d.Categories.forEach(function (b) {
if (Categories.findIndex(function (c) { return c.Name===b.Name}) == -1) {
b.Type = "bar";
console.log(JSON.stringify(b))
Categories.push(b)
}
})
});
// Line Data categories
Data.forEach(function (d) {
d.LineCategory.forEach(function (b) {
if (Categories.findIndex(function (c) { return c.Name === b.Name }) == -1) {
b.Type = "line";
console.log(JSON.stringify(b))
Categories.push(b)
}
})
});
// Processing Line data
lineData = DataSegregator(Data.map(function (d) { return d.LineCategory }), "Name");
// Line Coloring
LineColor = d3.scale.ordinal();
LineColor.domain(Categories.filter(function (d) { return d.Type == "line" }).map(function (d) { return d.Name }));
LineColor.range(["#d40606", "#06bf00", "#98bdc5", "#671919", "#0b172b"])
x0.domain(Data.map(function (d) { return d.Date; }));
XLine.domain(Data.map(function (d) { return d.Date; }));
x1.domain(Categories.filter(function (d) { return d.Type == "bar" }).map(function (d) { return d.Name})).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(Data, function (d) { return d3.max(d.Categories, function (d) { return d.Value; }); })]);
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(" + (width) + ",0)")
.call(YLeftAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", -10)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Percent");
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Population");
var state = svg.selectAll(".state")
.data(Data)
.enter().append("g")
.attr("class", "state")
.attr("transform", function (d) { return "translate(" + x0(d.Date) + ",0)"; });
state.selectAll("rect")
.data(function (d) { return d.Categories; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function (d) { return x1(d.Name); })
.attr("y", function (d) { return y(d.Value); })
//.attr("height", function (d) { return height - y(d.Value); })
.style("fill", function (d) { return color(d.Name); })
.transition().delay(500).attrTween("height", function (d) {
var i = d3.interpolate(0, height - y(d.Value));
return function (t)
{
return i(t);
}
});
// drawaing lines
svg.selectAll(".lines").data(lineData).enter().append("g").attr("class", "line")
.each(function (d) {
Name=d[0].Name
d3.select(this).append("path").attr("d", function (b) { return line(b) }).style({ "stroke-width": "2px", "fill": "none" }).style("stroke", LineColor(Name)).transition().duration(1500);
})
// Legends
var LegendHolder = svg.append("g").attr("class", "legendHolder");
var legend = LegendHolder.selectAll(".legend")
.data(Categories.map(function (d) { return {"Name":d.Name,"Type":d.Type}}))
.enter().append("g")
.attr("class", "legend")
.attr("transform", function (d, i) { return "translate(0," +( height+ margin.bottom/2 )+ ")"; })
.each(function (d,i) {
// Legend Symbols
d3.select(this).append("rect")
.attr("width", function () { return 18 })
.attr("x", function (b) {
left = (i+1) * 15 + i * 18 + i * 5 + textWidthHolder;
return left;
})
.attr("y", function (b) { return b.Type == 'bar'?0:7})
.attr("height", function (b) { return b.Type== 'bar'? 18:5 })
.style("fill", function (b) { return b.Type == 'bar' ? color(d.Name) : LineColor(d.Name) });
// Legend Text
d3.select(this).append("text")
.attr("x", function (b) {
left = (i+1) * 15 + (i+1) * 18 + (i + 1) * 5 + textWidthHolder;
return left;
})
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "start")
.text(d.Name);
textWidthHolder += getTextWidth(d.Name, "10px", "calibri");
});
// Legend Placing
d3.select(".legendHolder").attr("transform", function (d) {
thisWidth = d3.select(this).node().getBBox().width;
return "translate(" + ((width) / 2 - thisWidth / 2) + ",0)";
})
</script>
</body>
@Suriv
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Suriv commented Oct 19, 2017

@Suriv
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Suriv commented Oct 20, 2017

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