I am trying to group bars monthwise using D3 so that grouped bars align below the month names on the x axis properly.
the data i am reading is from a csv file as shown below :
Month,Projected Sales/Purchase,Purchase ,Shipped ,Supplier,
JAN-17,310504,552339,259034,A,
JAN-17,610504,252339,659034,B,
FEB-17,910504,552339,259034,A,
FEB-17,210504,252339,659034,B,
FEB-17,810504,252339,659034,C,
This is what i'm trying to achieve http://imgur.com/qxnq5ZJ
Each stacked bar in a month represents a particular supplier. And the supplier count may vary from month to month.
The following is the code that i've tried:
<script>
var svg = d3.select("svg"),
margin = {top: 20, right: 20, bottom: 50, 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.scaleBand()
.rangeRound([0, width])
.paddingInner(0.05)
.align(0.1);
var y = d3.scaleLinear()
.rangeRound([height, 0]);
var z = d3.scaleOrdinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
d3.csv("data.csv", function(d, i, columns) {
for (i = 1, t = 0; i < (columns.length-1); ++i)
t += d[columns[i]] = +d[columns[i]];
d.total = t;
return d;
}, function(error, data) {
if (error) throw error;
var keys = data.columns.slice(1,4);
x.domain(data.map(function(d) { return d.Month; }));
y.domain([0, d3.max(data, function(d) { return d.total; })]);
z.domain(keys);
var stack = d3.stack()
.keys(data.columns.slice(1,4));
var stackedData = stack(data);
g.append("g")
.selectAll("g")
.data(stackedData)
.enter().append("g")
.attr("fill", function(d) { return z(d.key); })
.selectAll("rect")
.data(function(d,i) { console.info(d[i].data.Month);return d; })
.enter().append("g").append("rect")
.attr("x", function(d, i){return i * 75;})
.attr("y", function(d) { return y(d[1]); })
.attr("height", function(d) { return y(d[0]) - y(d[1]); })
.attr("width", 50);
g.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + 450 + ")")
.call(d3.axisBottom(x));
g.append("g")
.attr("class", "axis")
.call(d3.axisLeft(y).ticks(null, "s"))
.append("text")
.attr("x", 2)
.attr("y", y(y.ticks().pop()) + 0.5)
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-weight", "bold")
.attr("text-anchor", "start");
var legend = g.append("g")
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.attr("text-anchor", "end")
.selectAll("g")
.data(keys.slice().reverse())
.enter().append("g")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 19)
.attr("width", 19)
.attr("height", 19)
.attr("fill", z);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9.5)
.attr("dy", "0.32em")
.text(function(d) { return d; });
});
</script>
http://imgur.com/eUG56rr is the output for the above code.
Related
I have created a stacked bar chart which works fine but I wanted to filter out the bars which are of very small length so that the chart looks good. Here is my code:-
<!DOCTYPE html>
<style>
.axis .domain {
}
</style>
<svg width="3000" height="700"></svg>
<script src="https://d3js.org/d3.v4.min.js"></script>
<script>
var svg = d3.select("svg"),
margin = {top: 20, right: 20, bottom: 200, left: 60},
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.scaleBand()
.rangeRound([0, 700])
.paddingInner(0.55)
.align(0.5);
var y = d3.scaleLinear()
.rangeRound([height,0]);
var z = d3.scaleOrdinal()
.range(["pink","purple"]);
//.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
d3.csv("pivot2.csv", function(d, i, columns) {
for (i = 1, t = 0; i < columns.length; ++i)
t += d[columns[i]] = +d[columns[i]];
d.total = t;
return d;
}, function(error, data) {
if (error) throw error;
var keys = data.columns.slice(1);
data.sort(function(a, b) { return b.total - a.total; });
x.domain(data.map(function(d) { if(d.total>2000){return d.Name;} }));
y.domain([0, d3.max(data, function(d) { return d.total; })]).nice();
z.domain(keys);
g.append("g")
.selectAll("g")
.data(d3.stack().keys(keys)(data))
.enter().append("g")
.attr("fill", function(d) {return z(d.key); })
.selectAll("rect")
.data(function(d) { return d;})
.enter().append("rect")
.attr("x", function(d) { return x(d.data.Name); })
.attr("y", function(d) { return y(d[1]) ; })
.attr("height",0)
.transition()
.duration(50)
.delay(function (d, i) { return i*100; })
.attr("height", function(d) { return y(d[0]) - y(d[1]); })
.attr("width",20)
//.attr("width", x.bandwidth())
g.append("g")
.attr("class", "axis")
.attr("transform", "translate(0," + height + ")")
.call(d3.axisBottom(x).ticks(1))
.selectAll("text")
.style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", ".15em")
.attr("transform", "rotate(-65)");
//.call(d3.axisBottom(x));
g.append("g")
.attr("class", "axis")
.call(d3.axisLeft(y).ticks(null, "s"))
.append("text")
.attr("x", 2)
.attr("y", y(y.ticks().pop()) + 0.2)
.attr("dy", "0.32em")
.attr("fill", "#000")
.attr("font-weight", "bold")
.attr("text-anchor", "start")
//.text("Duration");
var legend = g.append("g")
.attr("font-family", "sans-serif")
.attr("font-size", 10)
.attr("text-anchor", "end")
.selectAll("g")
.data(keys.slice().reverse())
.enter().append("g")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x",1500)
//.attr("x", width - 20)
.attr("width", 19)
.attr("height",0)
.transition()
.duration(200)
.delay(function (d, i) { return i*50; })
.attr("height", 19)
.attr("fill", z);
legend.append("text")
.attr("x",1490)
.attr("font-size","20px")
//.attr("x", width - 30)
.attr("y", 9.5)
.attr("dy", "0.32em")
.text(function(d) { return d; });
});
svg.append("text")
.attr("transform",
"translate(" + (width/2) + " ," +
(height + margin.top + 200) + ")")
.style("text-anchor", "middle")
.style("font-size","28px")
.style("fill","green")
.text("Customer Name");
svg.append("text")
.attr("transform", "rotate(-90)")
.attr("y",-5)
.attr("x",-200)
//.attr("y", 0 - margin.left)
//.attr("x",0 - (height / 2))
.attr("dy", "1em")
.style("text-anchor", "middle")
.style("fill","green")
.style("font-size","28px")
.text("Machine Duration By Mode");
</script>
As you can see I have applied an "IF" condition
data.sort(function(a, b) { return b.total - a.total; });
x.domain(data.map(function(d) { if(d.total>2000){return d.Name;} }));
y.domain([0, d3.max(data, function(d) { return d.total; })]).nice();
z.domain(keys);
But the problem is that all the remaining rectangles are being appended in the bottom left corner above the "Locust Valley Central School District" as you can see in the screenshot I have provided. Please help me to remove these extra rectangles.Screenshot for extra rectangles in the stacked bar chart
Map function here:
data.map(function(d) { if(d.total>2000){return d.Name;} })
Doesn't actually change data array, it returns a new array instead, which is used to initialize x.domain only.
Then you use unchanged data to create rectangles:
g.append("g")
.selectAll("g")
.data(d3.stack().keys(keys)(data))
.enter().append("g")
.attr("fill", function(d) {return z(d.key); })
.selectAll("rect")
.data(function(d) { return d;})
.enter().append("rect")
And it creates redundant rectangles with empty x coordinate. To fix this, you need to filter your data first:
data = data.filter(function(d) {
if (d.total > 2000) {
return true
}
})
And then use it to set x.domain (without any conditions here):
x.domain(data.map(function(d) { return d.Name }))
The rest of the code remains the same.
I was trying to refactor this bar chart in d3 to be a horizontal bar chart. I think I've isolated the three areas that need to be changed:
the original scale declarations:
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], 0.1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
The domain definitions:
x0.domain(data.map(function(d) { return d.deviceType; }));
x1.domain(deviceClass).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) { return d3.max(d.whenPurchased, function(d) { return d.value; }); })]);
the rect appending and positioning:
device.selectAll("rect")
.data(function(d) { return d.whenPurchased; })
.enter().append("rect")
.attr("width", x1.rangeBand())
.attr("x", function(d) { return x1(d.device); })
.attr("y", function(d) { return y(d.value); })
.attr("height", function(d) { return height - y(d.value); })
.style("fill", function(d) { return color(d.device); });
I can't seem to get the refactoring right and I think that is because I don't exactly get how domain works for x0 and basically not getting that right has a waterfall effect of everything else not working.
I put the full example here: JSFIDDLE
Here's a quick refactor:
var margin = {top: 20, right: 20, bottom: 30, left: 270},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var y0 = d3.scale.ordinal()
.rangeRoundBands([0, height], 0.1);
var y1 = d3.scale.ordinal();
var x = d3.scale.linear()
.range([0, width]);
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y0)
.orient("left");
// .tickFormat(d3.format(".2s"));
var svg = d3.select("#deviceown-barchart").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 + ")");
var data = d3.csv.parse( d3.select("pre#data").text() );
var deviceClass = d3.keys(data[0]).filter(function(key) { return key !== "deviceType"; });
data.forEach(function(d) {
d.whenPurchased = deviceClass.map(function(device) { return {device: device, value: +d[device]}; });
});
y0.domain(data.map(function(d) { return d.deviceType; }));
y1.domain(deviceClass).rangeRoundBands([0, y0.rangeBand()]);
x.domain([0, d3.max(data, function(d) { return d3.max(d.whenPurchased, 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")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end");
var device = svg.selectAll(".device")
.data(data)
.enter().append("g")
.attr("class", "device")
.attr("transform", function(d) { return "translate(0," + y0(d.deviceType) + ")"; });
device.selectAll("rect")
.data(function(d) { return d.whenPurchased; })
.enter().append("rect")
.attr("height", y1.rangeBand())
.attr("y", function(d) { return y1(d.device); })
.attr("x", 0)
.style("fill", function(d) { return color(d.device); })
.attr("width", 0)
.transition()
.duration(1500)
.attr("width", function(d) { return x(d.value); });
var legend = svg.selectAll(".legend")
.data(deviceClass.slice().reverse())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
// });
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.bar {
fill: steelblue;
}
.y.axis path {
display: none;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/3.4.11/d3.min.js"></script>
<div id="deviceown-barchart"></div>
<pre id="data">
deviceType,Within the last 6 months,More than 6 months ago
Netatmo Weather Station,0.14,0.09
Nest Learning Thermostat,0.13,0.14
Philips Hue Connected Bulb,0.13,0.08
Nest Cam,0.12,0.12
Belkin WeMo Switch + Motion,0.09,0.08
Nest Protect,0.08,0.12
Canary,0.08,0.03
Other smart home security device,0.08,0.12
August Smart Lock,0.06,0.07
Other connected home appliance,0.05,0.08
GE/Quirky Aros Smart AC,0.04,0.04
Other smart energy monitor,0,0.03
</pre>
Updated fiddle.
I just started using D3.js, and have been trying to make this stacked bar chart horizontal(link below).
https://github.com/DeBraid/www.cacheflow.ca/blob/master/styles/js/d3kickchart.js
http://cacheflow.ca/blog/index.html (You can find the chart in the middle of the page)
As a result, I completely stacked on the half way... I would greatly appreciate it if anyone gives me some guides to archive this.
Problem Solved:
I found the way to made the virtical bar chart horizontal. Hope this could help someone who are facing same problem.
Below is the fixed code:
<!DOCTYPE html>
<meta charset="utf-8">
<style>
</style>
<body>
<div id="chart-svg"></div>
<script src="http://d3js.org/d3.v3.min.js"></script>
<script>
var margin = {top: 20, right: 50, bottom: 100, left: 75},
width = 740 - margin.left - margin.right,
height = 170 - margin.top - margin.bottom;
var svg = d3.select("#chart-svg").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 + ")");
d3.csv("mta.csv", function (data){
var headers = ["meeting","construction","management","aa","bb","cc"];
var layers = d3.layout.stack()(headers.map(function(period) {
return data.map(function(d) {
return {x: d.Category, y: +d[period]};
});
}));
console.log(layers);
var yGroupMax = d3.max(layers, function(layer) { return d3.max(layer, function(d) { return d.y; }); });
var yStackMax = d3.max(layers, function(layer) { return d3.max(layer, function(d) { return d.y0 + d.y; }); });
var yScale = d3.scale.ordinal()
.domain(layers[0].map(function(d) { return d.x; }))
.rangeRoundBands([25, height], .2);
var x = d3.scale.linear()
.domain([0, yStackMax])
.range([0, width]);
var color = d3.scale.ordinal()
.domain(headers)
.range(["#98ABC5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c"]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("bottom")
.tickSize(1)
.tickPadding(15)
.tickFormat(d3.format(".2s"));
var yAxis = d3.svg.axis()
.scale(yScale)
.tickSize(0)
.tickPadding(6)
.orient("left");
var layer = svg.selectAll(".layer")
.data(layers)
.enter().append("g")
.attr("class", "layer")
.style("fill", function(d, i) { return color(i); });
var rect = layer.selectAll("rect")
.data(function(d) { return d; })
.enter().append("rect")
.attr("y", function(d) { return yScale(d.x); })
.attr("x", 0)
.attr("height", yScale.rangeBand())
.attr("width", 0)
.on("click", function(d) {
console.log(d);
});
rect.transition()
.delay(function(d, i) { return i * 100; })
.attr("x", function(d) { return x(d.y0); })
.attr("width", function(d) { return x(d.y); });
//********** AXES ************
svg.append("g")
.attr("class", "x axis")
.attr("transform", "translate(0," + height + ")")
.call(xAxis)
.selectAll("text").style("text-anchor", "end")
.attr("dx", "-.8em")
.attr("dy", ".15em");
svg.append("g")
.attr("class", "y axis")
.attr("transform", "translate(0,0)")
.call(yAxis)
.append("text")
.attr({"x": 0 / 2, "y": height+50})
.attr("dx", ".75em")
.style("text-anchor", "end")
.text("Time");
var legend = svg.selectAll(".legend")
.data(headers.slice().reverse())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(-20," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
});
</script>
i am trying to create a stacked bar graph.
however i can't seem to get the alignment right.the graph has two axis.
because of the length of the y axis label it is partially blocked.
i tried solving this by using different CSS styles on the label and on the enclosing div,
but they did not have the desired affect.
i created a jsfidel to explain my case.
http://jsfiddle.net/2khbceut/1/
HTML
<title>Diverging Stacked Bar Chart with D3.js</title>
<body>
<div id="figure" align="center" style="margin-bottom: 50px;"></div>
</body>
javascript
$(document).ready(getTopolegy());
function getTopolegy(){
var data = null;
var links = parseTopology(data);
createChart(links);
}
function parseTopology(data){
var links=[{1:5,2:5,3:10,N:20,link_name: "Link 167772376>>167772375"}];
return links;
}
function jsonNameToId(name){
switch (allocated_priority) {
case "allocated_priority":
return 1;
case "allocated_default":
return 2;
case "spare_capacity":
return 3;
case "total":
return "N";
default:
return 999;
}
}
function createChart(data){
var margin = {top: 50, right: 20, bottom: 10, left: 65},
width = 1000 - margin.left - margin.right,
height = 1000 - margin.top - margin.bottom;
var y = d3.scale.ordinal()
.rangeRoundBands([0, height], .3);
var x = d3.scale.linear()
.rangeRound([0, width]);
var color = d3.scale.ordinal()
.range(["#cccccc", "#92c6db", "#086fad"]);
var xAxis = d3.svg.axis()
.scale(x)
.orient("top");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
var svg = d3.select("#figure").append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.attr("id", "d3-plot")
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
color.domain(["Allocated Priority %", "Allocated Default %", "Spare Capacity %"]);
// d3.csv("js/raw_data.csv", function(error, data) {
data.forEach(function(d) {
d["Allocated Priority %"] = +d[1]*100/d.N;
d["Allocated Default %"] = +d[2]*100/d.N;
d["Spare Capacity %"] = +d[3]*100/d.N;
var x0 = 0;
var idx = 0;
d.boxes = color.domain().map(function(name) { return {name: name, x0: x0, x1: x0 += +d[name], N: +d.N, n: +d[idx += 1]}; });
});
var min_val = d3.min(data, function(d) {
return d.boxes["0"].x0;
});
var max_val = d3.max(data, function(d) {
return d.boxes["2"].x1;
});
x.domain([min_val, max_val]).nice();
y.domain(data.map(function(d) { return d.link_name; }));
svg.append("g")
.attr("class", "x axis")
.call(xAxis);
svg.append("g")
.attr("class", "y axis")
.call(yAxis)
var vakken = svg.selectAll(".Link")
.data(data)
.enter().append("g")
.attr("class", "bar")
.attr("transform", function(d) { return "translate(0," + y(d.link_name) + ")"; });
var bars = vakken.selectAll("rect")
.data(function(d) { return d.boxes; })
.enter().append("g").attr("class", "subbar");
bars.append("rect")
.attr("height", y.rangeBand())
.attr("x", function(d) { return x(d.x0); })
.attr("width", function(d) { return x(d.x1) - x(d.x0); })
.style("fill", function(d) { return color(d.name); });
bars.append("text")
.attr("x", function(d) { return x(d.x0); })
.attr("y", y.rangeBand()/2)
.attr("dy", "0.5em")
.attr("dx", "0.5em")
.style("font" ,"10px sans-serif")
.style("text-anchor", "begin")
.text(function(d) { return d.n !== 0 && (d.x1-d.x0)>3 ? d.n : "" });
vakken.insert("rect",":first-child")
.attr("height", y.rangeBand())
.attr("x", "1")
.attr("width", width)
.attr("fill-opacity", "0.5")
.style("fill", "#F5F5F5")
.attr("class", function(d,index) { return index%2==0 ? "even" : "uneven"; });
svg.append("g")
.attr("class", "y axis")
.append("line")
.attr("x1", x(0))
.attr("x2", x(0))
.attr("y2", height);
var startp = svg.append("g").attr("class", "legendbox").attr("id", "mylegendbox");
// this is not nice, we should calculate the bounding box and use that
var legend_tabs = [0, 150, 300];
var legend = startp.selectAll(".legend")
.data(color.domain().slice())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(" + legend_tabs[i] + ",-45)"; });
legend.append("rect")
.attr("x", 0)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", 22)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "begin")
.style("font" ,"10px sans-serif")
.text(function(d) { return d; });
d3.selectAll(".axis path")
.style("fill", "none")
.style("stroke", "#000")
.style("shape-rendering", "crispEdges")
d3.selectAll(".axis line")
.style("fill", "none")
.style("stroke", "#000")
.style("shape-rendering", "crispEdges")
var movesize = width/2 - startp.node().getBBox().width/2;
d3.selectAll(".legendbox").attr("transform", "translate(" + movesize + ",0)");
// });
}
i will appreciate any insight you have on this matter.
I have successfully managed to create a grouped bar chart that displays the various performance stats for soccer players over the course of one season. This data is all loaded from a csv file. I would now like to dynamically change that data whereby when a button is pressed, a new csv file is loaded with the stats corresponding to the next soccer season. I've tried to do this on my own but everytime I try reload the data, the old data as well as the old axis's remain present and the enw data loads ontop of these. It all ends up looking messy. So how do I have the old bars and axises updated in line with the new data? Here is my code:
$(document).ready(function(){
var margin = {top: 20, right: 20, bottom: 30, left: 40},
width = 960 - margin.left - margin.right,
height = 500 - margin.top - margin.bottom;
var x0 = d3.scale.ordinal()
.rangeRoundBands([0, width], .1);
var x1 = d3.scale.ordinal();
var y = d3.scale.linear()
.range([height, 0]);
var color = d3.scale.ordinal()
.range(["#98abc5", "#8a89a6", "#7b6888", "#6b486b", "#a05d56", "#d0743c", "#ff8c00"]);
var xAxis = d3.svg.axis()
.scale(x0)
.orient("bottom");
var yAxis = d3.svg.axis()
.scale(y)
.orient("left")
.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 + ")");
d3.csv("SoccerStatsCSV.csv", function(error, data) {
console.log(data);
var playerNames = d3.keys(data[0]).filter(function(key) { return key !== "Attribute"; });
console.log(playerNames);
data.forEach(function(d) {
d.Playerstats = playerNames.map(function(name) { return {name: name, value: +d[name]}; });
console.log(d.Playerstats);
});
x0.domain(data.map(function(d) { return d.Attribute; }));
x1.domain(playerNames).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) { return d3.max(d.Playerstats, 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")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Units");
var state = svg.selectAll(".state")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x0(d.Attribute) + ",0)"; });
state.selectAll("rect")
.data(function(d) { return d.Playerstats; })
.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); });
var legend = svg.selectAll(".legend")
.data(playerNames.slice())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
});
//The updating button
d3.select("button")
.on('click',function(){
d3.csv("SoccerStatsCSV2008.csv", function(error, data) {
console.log(data);
var playerNames = d3.keys(data[0]).filter(function(key) { return key !== "Attribute"; });
console.log(playerNames);
data.forEach(function(d) {
d.Playerstats = playerNames.map(function(name) { return {name: name, value: +d[name]}; });
console.log(d.Playerstats);
});
x0.domain(data.map(function(d) { return d.Attribute; }));
x1.domain(playerNames).rangeRoundBands([0, x0.rangeBand()]);
y.domain([0, d3.max(data, function(d) { return d3.max(d.Playerstats, 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")
.call(yAxis)
.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 6)
.attr("dy", ".71em")
.style("text-anchor", "end")
.text("Units");
var state = svg.selectAll(".state")
.data(data)
.enter().append("g")
.attr("class", "g")
.attr("transform", function(d) { return "translate(" + x0(d.Attribute) + ",0)"; });
state.selectAll("rect")
.data(function(d) { return d.Playerstats; })
.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); });
var legend = svg.selectAll(".legend")
.data(playerNames.slice())
.enter().append("g")
.attr("class", "legend")
.attr("transform", function(d, i) { return "translate(0," + i * 20 + ")"; });
legend.append("rect")
.attr("x", width - 18)
.attr("width", 18)
.attr("height", 18)
.style("fill", color);
legend.append("text")
.attr("x", width - 24)
.attr("y", 9)
.attr("dy", ".35em")
.style("text-anchor", "end")
.text(function(d) { return d; });
});
});
});