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D3 graph not updating with uniform data - javascript

I'm working on a bar chart. Strangely enough, the bar chart works fine for unique data, but when updated with data that is exactly the same, the graph does not update. It is not a scale/spacing problem, as the rect's representing the data aren't being generated at all.
Here is a JSFiddle demonstrating my problem.
More information
The bar chart is given data in the following form:
data.push({
temperature: 10,
humidity: 20,
light: 30
});
The bar chart creates a separate bar for each attribute. The attributes are represented by this type object, to help with spacing and naming the bars:
// type objects
typeObject = {
temperature: {
string: "temperature", //type name
class: "temp", //css class for styling
initDis: 0, //defines where to place first bar
dis: 3, //defines space between the next temp bar
base: tempBase, //the <g> element base
color: "#A6E22E" //color
},
humidity: {
...
},
...
};
And, every time data is added, these type objects are iterated through and passed into the following function, to make a d3 'update pattern':
var createBarsForCategory = function (type) {
var bars;
//`data` has been updated to an array containing newly added data
bars = type.base.selectAll("rect")
.data(data, function(d) {
return d[type.string];
});
//general update transition
bars.transition().duration(500).attr("x", function(d, i) {
return i * (m.bar.w + m.bar.space) * type.dis + m.bar.w * type.initDis;
});
// enter
bars.enter()
.insert("rect")
.attr("class", type.class)
.attr("width", m.bar.w)
.attr("height", function (d) {
return 0;
})
.attr("x", function (d, i) {
return i * (m.bar.w + m.bar.space) * type.dis + m.bar.w * type.initDis;
})
.attr("y", function (d) {
return scales.yscale(0);
})
.transition().delay(100).duration(1000)
.attr("height", function (d) {
return scales.yscale(0) - scales.yscale(d[type.string]);
})
.attr("y", function (d) {
return scales.yscale(d[type.string]);
})
;
// remove
bars.exit().remove();
};
Thank you in advance for your time.

I have updated your fiddle http://jsfiddle.net/pyLh7tcn/33/ with the following code on lines 173-178:
bars = type.base.selectAll("rect")
.data(data);
Now both random and uniform data sets are plotting properly.
Hope this helps.

Related

I have been trying to recreate this fiddle: https://jsfiddle.net/1c5eqrp3/3/
In the context of a horizontal stacked bar chart that I am building using my data.
var bar1Data = [{
position: 1,
label: '70k',
value: 1708026
},
{
position: 2,
label: '71K - 149K',
value: 1915059
},
];
//sort bars based on value
bar1Data = bar1Data.sort(function(a, b) {
return d3.ascending(a.position, b.position);
})
var colors = ['green', 'blue'];
var bars = d3.select('#bars')
.append('svg')
.attr('width', 800)
.attr('height', 200);
bars.selectAll('rect')
.data(bar1Data)
.enter()
.append('rect')
.attr('width', function(d) {
return d;
})
.attr('x', function(d, i) {
return sum(bar1Data.value, 0, i);
})
.attr('fill', function(d, i) {
return colors[i];
})
.attr('y', 0)
.attr('height', 100);
function sum(array, start, end) {
var total = 0;
for (var i = start; i < end; i++) total += array[i];
return total;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.7.0/d3.min.js"></script>
<div id="bar"></div>
All was going well, until I tried to get it to read the bar1Data I created.
Now, I am getting the following errors:
Error: <rect> attribute width: Expected length, "[object Object]".
(anonymous) # d3.js:1211
selection_each # d3.js:1176
selection_attr # d3.js:1233
(anonymous) # bars3.js:23
Promise.then (async)
(anonymous) # bars3.js:1
bars3.js:33 Uncaught (in promise) TypeError: Cannot read property '0' of undefined
at sum (bars3.js:33)
at SVGRectElement.<anonymous> (bars3.js:26)
at SVGRectElement.<anonymous> (d3.js:1209)
at Selection.selection_each [as each] (d3.js:1176)
at Selection.selection_attr [as attr] (d3.js:1233)
at bars3.js:25
I have been greatly struggling to create a stacked horizontal bar chart using d3.v5. I have been trying various examples using d3.v4 but I have not been able to get them to work. This was the simplest, most light-weight example I have found. But it does not yet include scales (which I shall hopefully put in a little later).
Could you please help me to solve this issue with an explanation?

In .attr('width', function(d){ return d;}), you're setting the width of the bar to the entire object d. You need to understand that .data(bar1Data) creates one entry per value of bar1Data, and that that value is accessible as d in all those functions. That means that, as soon as you've passed .data(bar1Data), you shouldn't directly touch that object anymore.
Now, from your data I seem to understand that you want to use the values of all preceding entries to calculate the cumulative sum up to that point. I will implement that in the answer, but would also like to point you towards stack = d3.stack(), which does it for you.
Note also that your values are too large. You need to transform them using a domain, otherwise you get one pixel per dollar (or other unit of money), which means the bars are drawn 100x the width of your monitor to the right.
var bar1Data = [{
position: 1,
label: '70k',
value: 50
},
{
position: 2,
label: '71K - 149K',
value: 40
},
];
//sort bars based on value
bar1Data = bar1Data.sort(function(a, b) {
return d3.ascending(a.position, b.position);
})
var colors = ['green', 'blue'];
var bars = d3.select('#bars')
.append('svg')
.attr('width', 800)
.attr('height', 200);
bars.selectAll('rect')
.data(bar1Data)
.enter()
.append('rect')
.attr('width', function(d) {
return d.value;
})
.attr('x', function(d, i) {
// Note that I use `.map` here to take only the `.value` attribute
// from the data and create an array of numbers.
return sum(bar1Data.map((e) => e.value), 0, i);
})
.attr('fill', function(d, i) {
return colors[i];
})
.attr('y', 0)
.attr('height', 100);
function sum(array, start, end) {
var total = 0;
for (var i = start; i < end; i++) total += array[i];
return total;
}
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.7.0/d3.min.js"></script>
<div id='bars'>
</div>

I have a question about attrTween (sometimes tween()).
I understood custom tween function as
after " attrTween('d' " argument,
I define the custom function.
So, I wrote the custom function as below.
d3.selectAll('circle#circles1')
.transition()
.attrTween('d',function(){
let interpolator=d3.interpolateArray(sdata.vader,sdata1.vader);
return function(t){
return d3.select(this).attr('cy',interpolator(t))
}
})
What I intended is
For All the circles I drew, makes a transition. The transition
is attrTween. The changes is based on data array tied into the
circles. Original data array is sdata and the cy value in the
sdata is sdata.vader. And the transition is heading toward
sdata1.and cy value for sdata1 is sdata1.vader.
To access all the cy value for every single circle, I used
d3.select(this).attr('cy')
However, no error message is shown but no animation was made either.
What did I misunderstand for the custom tween function?
Can anyone help me to fix this code?
Thank you inadvance.
Full code is in the following link.
https://codepen.io/jotnajoa/pen/WNQeEBE

There are multiple problems in the example code, which is not minimal. Providing a minimal, reproducible example would really help solve the problems.
usage of HTML Id to multiple elements.
In HTML, and id attribute must be unique. Here, ids are assigned to groups of circles. A class attribute should be used for this purpose, not an id.
.attr('id','circles1')
should be:
.attr('class','circles1')
Accordingly, the attrTween should lookup the circles with class circle1, rather than the unique circle with id #circle1
d3.selectAll('circle#circles1')
should be
d3.selectAll('.circles1')
Id (or class) assigned in the wrong place.
The circles1 class is assigned before the creation of the circle, hence the instructions applies to an empty selection. The class attribute should be set right after circles have been created.
.attr('id','circles1')
.enter()
.append('circle')
should be
.enter()
.append('circle')
.attr('class','circles1')
Wrong attribute tweened
The attribute to transition is the circle's cy attribute, not a path's d attribute. Hence
.attrTween('d',function(){
should be
.attrTween('cy',function(){
Wrong data interpolated
sdata.vader and sdata1.vader do not exist, sdata and sdata1 seem to be arrays of objects, which in turn do have a vader property.
You probably want d.vader, and the corresponding .vader in sdata1, which would be sdata1[i].vader, in case items are the same order in both arrays.
Interpolating original measures instead of coordinates.
cy is originally defined as:
height-yscale(d.vader)
In the interpolator function, the scale function should also be used.
The attrTween function calls becomes:
.attrTween('cy',function(d, i){
//console.log( i, height-yscale(d.vader), height-yscale(sdata1[i].vader))
let interpolator=d3.interpolateArray(height-yscale(d.vader), height-yscale(sdata1[i].vader));
return function(t) { return interpolator(t)}
})
Using attrTween where not needed.
Simply transitioning the circles with attr is sufficient for this use case, there is no need to define an interpolator.
d3 will move the position of circles from the original position to the destination, interpolating implicitly.
d3.selectAll('.circles1')
.transition()
.duration(2000)
.attr('cy',function(d, i){
return height-yscale(sdata1[i].vader)
})
I added a long duration for demo purpose, to make obvious that the circles move to the correct location. Once in their final position, they disappear, because they are under the pink circles.
P.S. Same set of corrections is applicable to circles2 set whenever relevant.
Demo of the solution in the snippet below, as codepen does not allow to save modifications without creating an account.
var svg;
var xscale;
var yscale;
var sdata;
var xAxis;
var yAxis;
var width=1500;
var height=500;
var margin=50;
var duration =250;
var vader ='vader'
var textblob='textblob'
var delay =5000;
var tbtrue=false;
var areas
var circles1,circles2;
var sdata1,sdata2
d3.csv('https://raw.githubusercontent.com/jotnajoa/Javascript/master/tweetdata.csv').then(function(data){
svg=d3.select('body').append('svg').attr('width',width).attr('height',height)
var parser = d3.timeParse("%m/%d/%y")
// data를 처리했고, date parser 하는 법 다시한번 명심하자.
sdata = data;
sdata.forEach(function(d){
d.vader = +d.vader;
d.textblob= + d.textblob;
d.date=parser(d.date)
})
// scale을 정해야 함. 나중에 brushable한 범위로 고쳐야함. nice()안하면 정렬도안되고, 첫번째 엔트리 미싱이고
// 난리도 아님.
xscale=d3.scaleTime()
.domain(d3.extent(sdata, function(d) {return d.date }))
.range([0,width*9/10])
.nice()
yscale =d3.scaleLinear()
.domain(d3.extent([-1,1]))
.range([height*4/5,height*1/5])
.nice()
//yaxis는 필요 없을 것 같은데.
//캔버스에 축을 그려야 함 단, translate해서 중간에 걸치게 해야함.
svg.append('g').attr('class','xaxis')
.call(d3.axisBottom(xscale))
.attr('transform','translate('+margin+','+height*1/2+')')
//sdata plotting
var circles = svg.append('g').attr('class','circles')
var area = svg.append('g').attr('class','pathline')
firststage();
//generator로 데이터를 하나씩 떨어뜨리도록 한다.
function firststage(){
function* vaderdropping(data){
for( let i=0;i<data.length;i++){
if( i%50==0) yield svg.node();
let cx = margin+xscale(data[i].date)
let cy = height-yscale(data[i].vader)
circles.append('circle')
.attr('cx',cx)
.attr('cy',0)
.transition()
.duration(duration)
.ease(d3.easeBounce)
.attr('cy',cy)
.attr('r',3)
.style('fill','rgba(230, 99, 99, 0.528)')
}
yield svg.node()
}
//generator 돌리는 부분
let vadergen = vaderdropping(sdata);
let result = vadergen.next()
let interval = setInterval(function(){
if(!result.done) {
vadergen.next();
}
else {
clearInterval(interval)
}
}, 100);
setTimeout(secondstage,5000)
}
function secondstage(){
function* textblobdropping(data){
for( let i=0;i<data.length;i++){
if( i%50==0) yield svg.node();
let cx = margin+xscale(data[i].date)
let cy = height-yscale(data[i].textblob)
circles.append('circle')
.attr('cx',cx)
.attr('cy',0)
.transition()
.duration(duration)
.ease(d3.easeBounce)
.attr('cy',cy)
.attr('r',3)
.style('fill','rgba(112, 99, 230, 0.528)')
}
yield svg.node()
}
//generator 돌리는 부분
let textblobgen = textblobdropping(sdata);
let tresult = textblobgen.next()
let tinterval = setInterval(function(){
if(!tresult.done) {
textblobgen.next();
}
else {
clearInterval(tinterval)
}
}, 100);
setTimeout(thirdstage,2500)
}
function thirdstage(){
//진동을 만들기 위해서,
//베이다와 텍스트 블랍 값을 플립한거다 (제발 워크 아웃하길...)
//그 다음 트윈으로 sdata 와 sdata1을 왔다갔다 하게하면 되지않을까?
sdata1 = sdata.map(function(x){
var y={};
y['date']=x.date;
y['vader']=x.textblob;
y['textblob']=x.vader;
return y});
sdata2 = sdata.map(function(x){
var y={};
y['date']=x.date;
y['vader']=0;
y['textblob']=0;
return y});
d3.selectAll('circle').transition()
.duration(3500)
.style('fill','rgba(1, 1, 1, 0.228)')
//areas는 일종의 함수다, 에리아에다가 데이터를 먹이면,
//에리아를 그리는 역할을 하는것임.
areas = d3.area()
.x(function(d){return margin+xscale(d.date)})
.y0(function(d){return height-yscale(d.vader)})
.y1(function(d){return height-yscale(d.textblob)})
.curve(d3.curveCardinal)
//이렇게 하지말고, sdata2도 만들었으니까 2->1->0 반복하는
// 무한반복 on('end','repeat') loop를 만들어보자.
var uarea=area.append('path')
setTimeout(repeat,500)
function repeat(){
uarea
.style('fill','rgba(112, 99, 230, 0.4)')
.attr('d', areas(sdata))
.transition()
.duration(500)
.attrTween('d',function(){
var interpolator=d3.interpolateArray(sdata,sdata1);
return function(t){
return areas(interpolator(t))
}
})
.transition()
.duration(500)
.attrTween('d',function(){
var interpolator=d3.interpolateArray(sdata1,sdata2);
return function(t){
return areas(interpolator(t))
}
})
.transition()
.duration(500)
.attrTween('d',function(){
var interpolator=d3.interpolateArray(sdata2,sdata);
return function(t){
return areas(interpolator(t))
}
})
.on('end',repeat)
}
setTimeout(fourthstage,500)
}
function fourthstage(){
// console.log(d3.selectAll('circle#circles1').node())
circles1=svg.append('g').selectAll('circle').data(sdata)
.enter().append('circle').attr('class','circles1')
.attr('cx',function(d){return margin+xscale(d.date)})
.attr('cy',function(d){return height-yscale(d.vader)})
.style('fill','green')
.attr('r',3)
circles2=svg.append('g').selectAll('circle').data(sdata)
.enter().append('circle').attr('class','circles2')
.attr('cx',function(d){return margin+xscale(d.date)})
.attr('cy',function(d){return height-yscale(d.textblob)})
.style('fill','pink')
.attr('r',3)
d3.selectAll('.circles1')
.transition()
.duration(5000)
.attr('cy',function(d, i){
return height-yscale(sdata1[i].vader)
})
// d3.selectAll('circle#circles2')
// .transition()
// .attr('cy',function(d){return 0})
//tween 팩토리를 정의해야한다.
//주의사항, 리턴을 갖는 함수여야한다는 것.
//왜 꼭 return function(){}을 해야하나?
/*
function movey(d2){
let y1 = this.attr('cy')
let y2 = d2.vader
let interpolate=d3.interpolate(y1,y2);
interpolate;
} 하면 안되나??
*/
}
})
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.7.0/d3.min.js"></script>

I currently have two variables that I can map to two different colours on two colours scales s1 and s2. s1 gives me the shade of red corresponding to my a value of my variable X (4 different possible colours). s1 gives me the shade of blue corresponding to my a value of my variable Y (4 different possible colours too).
Now what I would like to get is something that allows me to combine these two to get a unique colour for a combination of the variables. So for a pair (X,Y) I get a colour on the scale. So I get a scale of 16 possible colours.
Here is a legend that illustrate the kind of thing I am looking for:
I have been looking at online examples but cannot figure out how to achieve this.

You could combine two threshold scales fairly easily into a new scale function. The core of the function could look like:
d3.scaleBivariate = function() {
function scaleBivariate(value) {
var r = reds(value[0]);
var b = blues(value[1]);
return "rgb("+r+","+((r+b)/2)+","+b+")";
}
var blues = d3.scaleThreshold()
.range([255,205,155,105,55])
.domain([0,1,2,3,4,5]);
var reds = d3.scaleThreshold()
.range([255,205,155,105,55])
.domain([0,1,2,3,4,5]);
return scaleBivariate;
}
This sets the red and blue channels with the help of two d3 threshold scales. The green is simply set as the average between the two, though you could set that to whatever is desirable, say 0 or the minimum of the two other channels. My red/blue ranges are arbitrary and easily changed as well.
The above could be used as:
d3.scaleBivariate = function() {
function scaleBivariate(value) {
var r = reds(value[0]);
var b = blues(value[1]);
return "rgb("+r+","+((r+b)/2)+","+b+")";
}
var blues = d3.scaleThreshold()
.range([255,205,155,105,55])
.domain([0,1,2,3,4,5]);
var reds = d3.scaleThreshold()
.range([255,205,155,105,55])
.domain([0,1,2,3,4,5]);
return scaleBivariate;
}
// Dummy data:
var data = d3.range(16).map(function(d) {
return {x: d%4, y: Math.floor(d/4) }
})
var svg = d3.select("svg");
var size = 30;
var color = d3.scaleBivariate();
svg.selectAll("rect")
.data(data)
.enter()
.append("rect")
.attr("x", function(d) { return d.x * size })
.attr("y", function(d) { return d.y * size })
.attr("width",size)
.attr("height",size)
.attr("fill",function(d) {
return color([d.x,d.y]);
});
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.0.0/d3.min.js"></script>
<svg></svg>
Of course you might want to add some flexibility by adding methods to modify what datum property sets what colors are associated with what properties, what the thresholds should be, etc. To provide a basic example, the example below has added accessors for setting what property should be mapped to blue and red channels:
d3.scaleBivariate = function() {
function scaleBivariate(value) {
var r = reds(red(value));
var b = blues(blue(value));
return "rgb("+r+","+((r+b)/2)+","+b+")";
}
var blues = d3.scaleThreshold()
.range([255,205,155,105,55])
.domain([0,1,2,3,4,5]);
var reds = d3.scaleThreshold()
.range([255,205,155,105,55])
.domain([0,1,2,3,4,5]);
var red = function(d) { return d[0]; }
var blue = function(d) { return d[1];}
// Accessors:
scaleBivariate.red = function(_) {
return arguments.length ? (red = _, scaleBivariate): red;
}
scaleBivariate.blue = function(_) {
return arguments.length ? (blue = _, scaleBivariate): blue;
}
return scaleBivariate;
}
var data = d3.range(16).map(function(d) {
return {x: d%4, y: Math.floor(d/4) }
})
var svg = d3.select("svg");
var size = 30;
// set up the color scale:
var color = d3.scaleBivariate()
.red(function(d) { return d.x; })
.blue(function(d) { return d.y; });
svg.selectAll("rect")
.data(data)
.enter()
.append("rect")
.attr("x", function(d) { return d.x * size })
.attr("y", function(d) { return d.y * size })
.attr("width",size)
.attr("height",size)
.attr("fill",color);
<script src="https://cdnjs.cloudflare.com/ajax/libs/d3/5.0.0/d3.min.js"></script>
<svg></svg>

I would like this reverse action http://bl.ocks.org/d3noob/5d621a60e2d1d02086bf. When I click on an item of my legend, I want focus all elements of the map within these class.
However, how isolate just one class compared to others?
For example in this image, just show elements where the value is included between 23500 and 29000 and hide other elements.
I suggest to 1/ filter data and 2/ fill with the same color these elements but surely it's easier.
Here is my code : https://plnkr.co/edit/ga82Syjc8zxTdAxTVNXu?p=preview
<!DOCTYPE html>
<head>
<meta charset="utf-8">
<script src="https://unpkg.com/d3#5.0.0/dist/d3.min.js"></script>
<script src="https://unpkg.com/topojson#3.0.0/dist/topojson.min.js"></script>
</head>
<svg class="carte_evolution">
<style>
</style>
<body>
<script>
let w = 600;
let h = 600;
let view = [0,0,600,600];
//Dimension
let svgCarteEvolution = d3.select(".carte_evolution")
.attr("width", "100%")
.attr("height", h)
.attr("preserveAspectRatio","xMidYMid meet")
.attr("viewBox", `${view[0]},${view[1]},${view[2]},${view[3]}`);
//Map projection
choro = d3.map();
projection = d3.geoConicConformal()
.center([1.282743, 46.328377])
.scale(2600)
.translate([w / 2, h / 2]);
path = d3.geoPath()
.projection(projection);
//Load csv and topojson
promises1 = d3.json("ze_WGS84_UTF8.topojson");
promises2 = d3.csv("data.csv");
Promise.all([promises1, promises2]).then(function(fr){
//Join csv + topojson
let featureCollection = topojson.feature(fr[0],fr[0].objects.ze_WGS84_UTF8)
for (var i=0; i< fr[1].length;i++){
var csvId = fr[1][i].codgeo;
var csvValue0 = parseFloat(fr[1][i].value0);
var csvYear0 = fr[1][i].year0;
for (var j=0; j<featureCollection.features.length;j++){
var jsonId = featureCollection.features[j].properties.codgeo;
if (csvId === jsonId) {
featureCollection.features[j].properties.value0 = csvValue0;
featureCollection.features[j].properties.year0 = csvYear0;
break;
}
}
}
let color = d3.scaleQuantile()
.range(["#d1e0c9","#b3cea8","#8fb983","#539f53","#008d36"]);
color.domain([
12000,17500,19500,21500,23500,29000
]);
//Map
svgCarteEvolution.append("g")
.selectAll("path")
.data(featureCollection.features)
.enter()
.append("path")
.attr("class", "dep")
.attr("d", path)
.style("fill", function(d){
var value = d.properties["value0"];
return value? color(value):"#ccc";
});
//legend
let legend = svgCarteEvolution.selectAll("g.legend_entree")
.data(color.range().reverse())
.enter()
.append("g")
.attr("class","legend_entree");
legend
.append('rect')
.attr("x", 30)
.attr("y", function(d, i) {
return 65 + i * 20;
})
.attr("width", 20)
.attr("height", 10)
.style("stroke", "black")
.style("stroke-width", 0.1)
.style("fill", function(d){return d;});
//the data objects are the fill colors
legend
.append('text')
.attr("x", 55) //leave 5 pixel space after the <rect>
.attr("y", function(d, i) {
return 65 + i * 20;
})
.attr("dy", "0.8em") //place text one line *below* the x,y point
.style("font-family","latomedium")
.style("font-size","0.9em")
.text(function(d,i) {
var extent = color.invertExtent(d);
//extent will be a two-element array, format it however you want:
var format = d3.format("");
return `${format(+extent[0])} - ${format(+extent[1])}`
});
});
</script>
</body>
</html>
data.csv
"codgeo","year0","value0","year1","value1"
"0050",2012,19162,2014,19698.8
"0051",2012,18501.125,2014,19125.5
"0052",2012,18684.6666666667,2014,19454
"0053",2012,19826,2014,20573.9
"0054",2012,18881.1111111111,2014,19513
"0055",2012,17942.5,2014,18657.3
"0056",2012,19299.0476190476,2014,19703.9
"0057",2012,18873.8095238095,2014,19539.3
"0059",2012,18199,2014,18719
"0060",2012,18921,2014,19563.2
"0061",2012,21259.5238095238,2014,21748.3
"0101",2012,,2014,
"0102",2012,,2014,
"0103",2012,,2014,
"0106",2012,,2014,
"0201",2012,,2014,17250
"0202",2012,,2014,17246.7
"0203",2012,,2014,14972
"0204",2012,,2014,14612.6
"0205",2012,,2014,15617.3
"0206",2012,,2014,13369
"0301",2012,,2014,
"0302",2012,,2014,
"0303",2012,,2014,
"0401",2012,,2014,12522.3
"0402",2012,,2014,15483.8
"0403",2012,,2014,14344.6
"0404",2012,,2014,13134
"0601",2012,,2014,
"1101",2012,23144.7619047619,2014,23464
"1102",2012,22223.5,2014,22729.1
"1103",2012,20637.2222222222,2014,21088
"1104",2012,20402,2014,20901
"1105",2012,21782.7777777778,2014,22274.4
"1106",2012,18304.375,2014,18918
"1107",2012,20038.6666666667,2014,20406.5
"1108",2012,19493,2014,19936.5
"1109",2012,28156.8901098901,2014,28660
"1110",2012,20294.8,2014,20639.5
"1111",2012,22490.6666666667,2014,22812.4
"1112",2012,25996.6666666667,2014,26503.5
"1113",2012,25301.7391304348,2014,25639.6
"1114",2012,21184,2014,21611.9
"1115",2012,20586,2014,20954
"1116",2012,25449.5,2014,25742.4
"1117",2012,22279.3333333333,2014,22665
"1118",2012,19040,2014,19307.2
"1119",2012,22059.0909090909,2014,22519
"2101",2012,17416,2014,18133.9
"2102",2012,18721,2014,19275.4
"2103",2012,19554.7826086957,2014,20204
"2104",2012,20352.8571428571,2014,20892.8
"2105",2012,19630.5555555556,2014,20157.6
"2106",2012,18689,2014,19445.2
"2107",2012,17676.6666666667,2014,18309.1
"2201",2012,19209.5238095238,2014,19791
"2202",2012,17090,2014,17820
"2203",2012,16258.6666666667,2014,17014
"2204",2012,17987.619047619,2014,18675.2
"2205",2012,17320.8333333333,2014,18056
"2206",2012,18163.2,2014,18851
"2207",2012,19732.1428571429,2014,20284.7
"2208",2012,19973.3333333333,2014,20690
"2209",2012,17625,2014,18402
"2210",2012,18778.0952380952,2014,19447.6
"2211",2012,17420,2014,18158.8
"2301",2012,18978.8461538462,2014,19609.3
"2302",2012,19920,2014,20419
"2303",2012,18947,2014,19704.7
"2304",2012,20011.7391304348,2014,20639
"2305",2012,18633.4166666667,2014,19348.6
"2306",2012,19222.6666666667,2014,19937.6
"2307",2012,19716,2014,20349.3
"2401",2012,19496,2014,20116.7
"2402",2012,17587.3913043478,2014,18264.3
"2403",2012,18039.3333333333,2014,18668.9
"2404",2012,20862,2014,21386.8
"2405",2012,19088,2014,19617.5
"2406",2012,19682,2014,20246
"2407",2012,17765,2014,18244
"2408",2012,18813.3333333333,2014,19590.5
"2409",2012,18460.8695652174,2014,19134
"2410",2012,19341.3333333333,2014,20286.2
"2411",2012,18503.5,2014,19170
"2412",2012,20074.7619047619,2014,20669
"2413",2012,19886,2014,20426.5
"2414",2012,18549,2014,19111.7
"2415",2012,19298.0952380952,2014,19929
"2416",2012,19159.5833333333,2014,19763.3
"2417",2012,19013.3333333333,2014,19521.9
"2418",2012,20852,2014,21314
"2419",2012,19696.8,2014,20135.4
"2501",2012,18832.9166666667,2014,19616.7
"2502",2012,19839.6428571429,2014,20447.3
"2503",2012,19357,2014,19949.3
"2504",2012,17890,2014,18668.5
"2505",2012,17836.1904761905,2014,18619.5
"2506",2012,18373.0434782609,2014,19247.3
"2507",2012,18855,2014,19788.7
"2508",2012,18192.0833333333,2014,19076
"2509",2012,19105,2014,19896.6
"2510",2012,18837.2222222222,2014,19621.4
"2511",2012,18071.5,2014,18835
"2512",2012,18059.5,2014,18796.7
"2513",2012,17989.5652173913,2014,18533.5
"2601",2012,20356,2014,21106.7
"2602",2012,18218.4,2014,18926.7
"2603",2012,20719.6666666667,2014,21264.4
"2604",2012,18828.3333333333,2014,19445.7
"2605",2012,17496,2014,18232
"2606",2012,18618.3333333333,2014,19419.2
"2607",2012,18150,2014,18717
"2608",2012,19290,2014,20024
"2609",2012,18376,2014,19020
"2610",2012,18123.5,2014,18997.2
"2611",2012,18232,2014,19093.1
"2612",2012,19023.3962264151,2014,19581.7
"2613",2012,18402.2222222222,2014,19055
"2614",2012,19352.6666666667,2014,19970
"3110",2012,17632,2014,18171.3
"3111",2012,19872.3214285714,2014,20498.6
"3112",2012,17909.5,2014,18786
"3113",2012,19370.8695652174,2014,20029
"3114",2012,17411.6666666667,2014,18153.1
"3115",2012,16527.5,2014,17161.7
"3116",2012,17494,2014,18124.5
"3117",2012,16522.5,2014,17252.5
"3121",2012,18958.5714285714,2014,19749.5
"3122",2012,15848,2014,16471.3
"3123",2012,17325,2014,18070
"3124",2012,17319,2014,18080.7
"3125",2012,16943,2014,17776.5
"3126",2012,17054,2014,17783.8
"3127",2012,17860.6666666667,2014,18527.8
"4101",2012,19057,2014,20396.5
"4102",2012,18167.3913043478,2014,18923.8
"4103",2012,20100,2014,20734.3
"4104",2012,19253.4615384615,2014,19914.7
"4105",2012,18178,2014,18899.6
"4106",2012,18415.5555555556,2014,19180
"4107",2012,19765.3333333333,2014,20611.4
"4108",2012,17936.3043478261,2014,18670.5
"4109",2012,19220,2014,19884
"4110",2012,19699,2014,20456
"4111",2012,19975.5555555556,2014,21490
"4112",2012,18561.9047619048,2014,19239.6
"4113",2012,18533,2014,19207
"4114",2012,17932,2014,18625
"4115",2012,18513.6,2014,19304
"4201",2012,21662,2014,22259.4
"4202",2012,22121.4285714286,2014,22678
"4203",2012,20694.9743589744,2014,21249.2
"4204",2012,20996.6666666667,2014,21554
"4205",2012,20637.2,2014,20939.5
"4206",2012,22284.4,2014,22998
"4207",2012,21402,2014,21892
"4208",2012,20530.4761904762,2014,20987.7
"4209",2012,27116,2014,27578
"4301",2012,19866.7857142857,2014,20474.7
"4302",2012,19037.6923076923,2014,19688.7
"4303",2012,26342.380952381,2014,26900.4
"4304",2012,23223.3333333333,2014,24219
"4305",2012,19166.4516129032,2014,19840
"4306",2012,19092.2222222222,2014,19879.5
"4307",2012,20652,2014,21500.8
"4308",2012,18128,2014,18743
"4309",2012,18185,2014,18844.7
"5201",2012,18881.4814814815,2014,19667.6
"5202",2012,17665.6,2014,18286
"5203",2012,20616,2014,21241
"5204",2012,19844.8,2014,20508
"5205",2012,19443,2014,20094.4
"5206",2012,18905.7142857143,2014,19605
"5207",2012,17964.6666666667,2014,18666
"5208",2012,18107.3333333333,2014,18734.4
"5209",2012,18951.7857142857,2014,19703.8
"5210",2012,18635.7142857143,2014,19332
"5211",2012,18973.2258064516,2014,19556.5
"5212",2012,18178.6666666667,2014,18824
"5213",2012,19304.6666666667,2014,19966.7
"5214",2012,18363.3333333333,2014,19098.9
"5215",2012,19146.6666666667,2014,19786.7
"5216",2012,18103.3333333333,2014,18876.7
"5217",2012,18984,2014,19686
"5218",2012,19186.1904761905,2014,19813.8
"5219",2012,20042.380952381,2014,20712.9
"5301",2012,19939.2,2014,20655.3
"5302",2012,18221.4285714286,2014,18960
"5303",2012,20016,2014,20691.3
"5304",2012,18641.5,2014,19282.2
"5305",2012,19581.3333333333,2014,20232.9
"5306",2012,19916.0869565217,2014,20649.4
"5307",2012,17941.3333333333,2014,18671
"5308",2012,19373.3333333333,2014,19991.9
"5309",2012,19634.347826087,2014,20377.6
"5310",2012,18645.3846153846,2014,19283.8
"5311",2012,18720,2014,19397.2
"5312",2012,20578,2014,21143.8
"5313",2012,19380.6666666667,2014,20159.3
"5314",2012,19439,2014,20248.1
"5315",2012,19573,2014,20304.3
"5316",2012,18751.25,2014,19417.2
"5317",2012,18940,2014,19701.3
"5318",2012,20075.4166666667,2014,20740
"5401",2012,17907.5,2014,18522.9
"5402",2012,18704.6666666667,2014,19349
"5403",2012,18580.3846153846,2014,19280
"5404",2012,17407,2014,18222
"5405",2012,19327.5,2014,20055.3
"5406",2012,18512.4,2014,19128
"5407",2012,19217.6,2014,19903.5
"5408",2012,18673,2014,19379.3
"5409",2012,20270,2014,20855.6
"5410",2012,19489.1666666667,2014,20238.1
"5411",2012,17890,2014,18620.5
"5412",2012,18078.0952380952,2014,18834
"5413",2012,19446.5,2014,20043
"7201",2012,18008.4637681159,2014,18697.3
"7202",2012,18425,2014,19159
"7203",2012,18106.6666666667,2014,18658.7
"7204",2012,20667,2014,21249.5
"7205",2012,18035.3333333333,2014,18711.3
"7206",2012,18450.9523809524,2014,19101.3
"7207",2012,20320.8695652174,2014,20948
"7208",2012,19536,2014,20100
"7209",2012,18869.3333333333,2014,19480.7
"7210",2012,17737.5,2014,18362
"7211",2012,17410,2014,17987.6
"7212",2012,20164.6666666667,2014,20683.9
"7213",2012,19245,2014,19834
"7214",2012,20302,2014,20867.6
"7301",2012,18256,2014,18876.3
"7302",2012,17957,2014,18514
"7303",2012,18034.6666666667,2014,18724.8
"7304",2012,19017.2222222222,2014,19799.3
"7305",2012,17916.1904761905,2014,18698
"7306",2012,18578,2014,19336.7
"7307",2012,18857.619047619,2014,19230
"7308",2012,18793.3333333333,2014,19457.6
"7309",2012,19058.6956521739,2014,19787.6
"7310",2012,18895.3333333333,2014,19429.5
"7311",2012,18878.1780538302,2014,19430.7
"7312",2012,18183.8461538462,2014,18879.2
"7313",2012,18197.3333333333,2014,18632
"7401",2012,19040,2014,19716
"7402",2012,18143.3333333333,2014,18897.2
"7403",2012,17301.3043478261,2014,17984
"7404",2012,19118,2014,19698
"8201",2012,20643.8095238095,2014,21227.1
"8202",2012,20174.6666666667,2014,20682.4
"8203",2012,18474.4444444444,2014,19119.6
"8204",2012,18964.6153846154,2014,19694
"8205",2012,17833.8461538462,2014,18486
"8206",2012,18796,2014,19433
"8207",2012,18750.4347826087,2014,19414.5
"8208",2012,19158.8,2014,19833.1
"8209",2012,20058.9655172414,2014,20741.1
"8210",2012,21119.1153846154,2014,21684.5
"8211",2012,19926,2014,20499.3
"8212",2012,18585.7142857143,2014,19272
"8213",2012,21155,2014,21768
"8214",2012,20965,2014,21470
"8215",2012,20356.9230769231,2014,20849.2
"8216",2012,21009.6,2014,21576.5
"8217",2012,20380.7692307692,2014,20996
"8218",2012,23005.2173913043,2014,23712.7
"8219",2012,27201.9230769231,2014,27749.3
"8220",2012,21017,2014,21626.5
"8221",2012,21245.0909090909,2014,21706.7
"8222",2012,23036.0869565217,2014,23862.9
"8301",2012,18453.9393939394,2014,19023.3
"8302",2012,18534.3333333333,2014,19190
"8303",2012,18492,2014,19091.3
"8304",2012,18855.7142857143,2014,19606.7
"8305",2012,17307.5595238095,2014,18159
"8306",2012,17459.1666666667,2014,18457
"8307",2012,17890.4761904762,2014,18484.8
"8308",2012,18963,2014,19466.1
"8309",2012,18347.1428571429,2014,19084
"8310",2012,20412,2014,21071.7
"8311",2012,19008.5,2014,19795.7
"8312",2012,18111.6666666667,2014,18856.5
"9101",2012,17408.5714285714,2014,17945.3
"9102",2012,16617.3333333333,2014,17173
"9103",2012,17123.3333333333,2014,17661
"9104",2012,16840,2014,17349.6
"9105",2012,18586,2014,19386.7
"9106",2012,18106.6666666667,2014,18625
"9107",2012,17128.4615384615,2014,17763
"9108",2012,16940.8695652174,2014,17503.5
"9109",2012,17352,2014,17867.5
"9110",2012,16858,2014,17391.3
"9111",2012,19566.6666666667,2014,20024.4
"9112",2012,17690.4,2014,18320.7
"9113",2012,18336.5217391304,2014,19110
"9114",2012,18100.4545454545,2014,18640.7
"9115",2012,17447.2222222222,2014,17903.9
"9116",2012,17108,2014,17654.6
"9301",2012,18502,2014,19034.2
"9302",2012,18934.8,2014,19401.5
"9303",2012,18952.3076923077,2014,19365.3
"9304",2012,18794.7619047619,2014,19335
"9305",2012,20466.1111111111,2014,20830.8
"9306",2012,20292.8,2014,20668.7
"9307",2012,19959,2014,20333.3
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"9309",2012,18084,2014,18679.5
"9310",2012,19009,2014,19507
"9311",2012,19514.6666666667,2014,20090
"9312",2012,19813.6,2014,20490.6
"9313",2012,18840,2014,19254.8
"9314",2012,19946.0357142857,2014,20238
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"9316",2012,17739.1304347826,2014,18245.7
"9317",2012,17904,2014,18510.6
"9401",2012,19633.8461538462,2014,20418.3
"9402",2012,17570,2014,17890
"9403",2012,17200.8333333333,2014,17640.5
"9404",2012,17777.2666666667,2014,18376.4
"9405",2012,17254.5,2014,17473.5
"9406",2012,17553.3333333333,2014,18426
"9407",2012,16885,2014,17577.7

Your instincts will work - filter the path data according to the color:
features.filter(function(feature) {
return color(feature.properties["value0"]) == d;
})
I saved your feature paths in the variable features in the plunkrs below
As the datum of each legend entry is a color, we can just filter the paths based on which datum would produce the same color when scaled. We could alternatively give class names or apply other indicators to filter.
Color the filtered paths on the event, revert all paths on some sort anti-event. Since you haven't said what will reset the map, I'll assume if you click on the same legend entry twice in a row the map should reset (this lets you toggle between each legend entry). To do so we'll need to keep track of which legend entry is currently in focus:
var highlighted = "";
Then we just listen for a click event on the legend entry and:
.on("click",function(d,i) {
highlighted = ""; //reset
// revert map back to default state
}
else {
highlighted = d;
// filter features to highlight certain ones.
})
Altogether that might look like:
.on("click",function(d,i) {
// clicking an active entry: reset:
if(highlighted == d) {
// reset opacity on each path:
features.style("opacity",1);
// reset legend entries' fills:
legend.selectAll("rect")
.style("fill",function(d) { return d; });
// reset highlight variable since nothing is highlighted
highlighted = "";
}
// clicking a different entry: highlight that entry:
else {
//update highlighted variable
highlighted = d;
// set opacity low for all features, filter for chosen features and style accordingly:
features.style("opacity",0.2)
.filter(function(f) {
return color(f.properties["value0"]) == d;
})
.style("opacity",1);
// hollow legend entries
legend.selectAll("rect")
.style("fill","white")
// fill selected option:
d3.select(this).select("rect")
.style("fill",function(d) { return d;});
}
})
Which looks something like:
(I'm formatting the legend entries to show what is highlighted - I changed your stroke to accomodate this)
Here's an updated plunkr.
If you want to be able to toggle multiple legend items at once, then the logic gets a bit more detailed and the highlighted variable becomes an array
As an alternative with mouseover/off events rather than clicks (so no need to track what is actively shown), here's a slightly different approach using the same principles: plunkr

I have a list of radio buttons indicating a country.
I want that when user clicks on a radio button, the right line chart are loaded.
To do so I have 4 csv files with data for each country.
The csv files are like this:
year,death,value
2012,Tuberculosis,NA
2011,Tuberculosis,NA
2010,Tuberculosis,301
2009,Tuberculosis,344
2008,Tuberculosis,333
2007,Tuberculosis,329
2006,Tuberculosis,350
2005,Tuberculosis,NA
2004,Tuberculosis,NA
2003,Tuberculosis,396
2002,Tuberculosis,413
2001,Tuberculosis,415
2000,Tuberculosis,460
1999,Tuberculosis,517
1998,Tuberculosis,558
1997,Tuberculosis,597
1996,Tuberculosis,609
1995,Tuberculosis,647
2012,Tetanus,NA
2011,Tetanus,NA
2010,Tetanus,17
2009,Tetanus,27
2008,Tetanus,18
...
HERE is my code.
I don't know why Plunker create the error "Bad request".
Anyway, this is my result: if the user clicks on Italy, then the browser loads Italy.csv file and creates the chart, if the user clicks on Hungary, then browser loads Hungary.csv file and creates the chart and so on.
The problem is that in my csv files, there are some "holes" on data.
For example, I haven't any data about number of deaths in Italy between 2003 and 2006 so I want to show a dashed line instead of a solid line.
In my chart I'm not able to do that.
In particular, I wrote code to do that but it doesn't work.
Note that the missing data will change according to the countries. For some countries I have all the data and not for other countries.
Also, if the user clicks on the circle (the legend) of the corresponding series disappears, the circle should turn white and the axes change to fit the current data.
This doesn't work and I don't understand why.
As you can see, the console doesn't show any errors.
In this similar example, it works: PLUNKER
I badly explained myself. With "missing data" I mean NA values.
NEW PLUNKER
I understand that the chart of Belgium is right.
I tried to understand why the Denmark chart is that but sorry, I don't understand when you say "Code generate multiples paths for every abailable data and just ONE path for all NA data. Instead it must generate a segments for every gap on data.".
The code is organized in this way:
// some code...
/**************************************************************************
*** GET SELECTED COUNTRY AND DRAW FIRST CHART ****************************
**************************************************************************/
var l_selectedCountry = document.querySelector('input[name="l_country"]:checked').value;
l_createLineChart(l_selectedCountry);
var l_updateradio = function() {
l_selectedCountry = $('input[name=l_country]:checked', '#l_countries').val();
l_createLineChart(l_selectedCountry);
}
$("#l_countries").on("change", l_updateradio);
/**************************************************************************
*** DRAW THE RIGHT CHART BASED ON SELECTED COUNTRY **********************
**************************************************************************/
function l_createLineChart(l_selectedCountry) {
// remove last chart
d3.select("#l_chartcontainer")
.html("");
// adds the svg canvas
var svg = d3.select("#l_chartcontainer")
.append("svg")
.attr("width", l_width + margin.left + margin.right)
.attr("height", l_height + margin.top + margin.bottom)
.append("g")
.attr("transform", "translate(" + margin.left + "," + margin.top + ")");
var l_file = "./data/line_data/" + l_selectedCountry + ".csv";
/**************************************************************************
*** GET RIGHT DATA ********************************************************
**************************************************************************/
d3.csv(l_file, function(l_error, l_data) {
l_data.forEach(function(d) {
d.year = parseDate(d.year);
d.value = +d.value;
});
// code about axis...
/**************************************************************************
*** GET ALL LINE DATA (solid & dashed) ************************************
**************************************************************************/
var l_dataNest = d3.nest()
.key(function(d) {
return d.death;
})
.entries(l_data);
console.log("l_dataNest");
console.log(l_dataNest);
// code about labels...
/**************************************************************************
*** GET DASHED LINE DATA **************************************************
**************************************************************************/
var l_dashedData = l_getDashed(l_dataNest); // dashed line (extreme point) for each disease
console.log("l_dashedData");
console.log(l_dashedData);
// other code...
/**************************************************************************
*** DRAW SOLID LINE *******************************************************
**************************************************************************/
svg.append('g')
.attr('class', 'l_line-container')
.selectAll('.normal-line-paths')
.data(l_dataNest) // set our data
.enter() // enter the data and start appending elements
.append('path')
.call(l_path); // calling our path function for later use when appending lines
/**************************************************************************
*** DRAW DASHED LINE ******************************************************
**************************************************************************/
svg.append('g')
.attr('class', 'dashed-line-container')
.selectAll('.dashed-line-paths')
.data(l_dashedData)
.enter()
.append('path')
.call(l_dashedPath);
// other code...
});
}
// code about event...
function l_path(myPath) {
myPath.style("fill", "none")
.style("stroke", function(d) {
return l_color[d.key];
})
.attr('class', function(d) {
return 'normal-line-paths path-' + d.key.replace(/\s+/g, '');
})
.attr("d", function(d) {
return valueline(d.values);
})
.style("opacity", 0.5)
.on("mouseover", l_onMouseOverLine)
.on("mouseout", l_onMouseOutLine);
}
function l_dashedPath(myPath) {
myPath.style("fill", "none")
.style("stroke", function(d) {
return l_color[d.key];
})
.style("stroke-width", 5)
.attr("stroke-dasharray", '4')
.attr('class', function(d) {
return 'dashed-line-paths path-' + d.key.replace(/\s+/g, '');
})
.attr("d", function(d) {
return valueline(d.values);
})
.style("opacity", 0.5)
.on("mouseover", l_onMouseOverLine)
.on("mouseout", l_onMouseOutLine);
}
/**
* Function to return the data points that will create the dashed lines.
*/
function l_getDashed(data) {
return data.map(function(collection, index) {
var l_startNaN = false;
var l_dashed = {
key: collection.key, // disease
values: [] //array of death, death and year
};
collection.values.forEach(function(dataPoint, index) {
var l_value = dataPoint.value;
var values = collection.values;
if($.isNumeric(l_value) && l_startNaN) {
l_startNaN = false;
l_dashed.values.push(values[index]);
}
else {
if(($.isNumeric(l_value) && l_startNaN) || (!$.isNumeric(l_value) && !l_startNaN)) {
l_startNaN = true;
l_dashed.values.push(values[index-1]);
}
}
})
if((l_dashed.values.length % 2)) {
l_dashed.values.pop();
}
return l_dashed;
});
}
If I comment this piece of code:
// apend a group element which will contain our dashed lines
/*svg.append('g')
.attr('class', 'dashed-line-container')
.selectAll('.dashed-line-paths')
.data(l_dashedData)
.enter()
.append('path')
.call(l_dashedPath);*/
I get:
and if I comment:
// apend a group element which will contain our lines
/*svg.append('g')
.attr('class', 'l_line-container')
.selectAll('.normal-line-paths')
.data(l_dataNest) // set our data
.enter() // enter the data and start appending elements
.append('path')
.call(l_path); */
I get:
So there must be a problem in l_dashedPath(myPath) method.
But if I print d, I get the four ends of the two portions dashed (Tuberculosis): 23, 32, 15, 16 that are correct.
.attr("d", function(d) {
console.log(d);
return valueline(d.values);
})
Also the l_getDashed(data) method seems correct to me.

Inside Plunker you can't have spaces on filename. Rename it 'United Kingdom.csv' to something with underscore (_) or so. "United_Kingdom.csv"
Your function l_getdashed, don't take the next point for every dashed segment. At the end you just get a point, not a segment.
I'ver re-refactory your function:
function l_getDashed(data) {
return data.map(function(collection, index) {
var l_startNaN = false;
var l_dashed = {
key: collection.key,
values: []
};
collection.values.forEach(function(dataPoint, index) {
var l_value = dataPoint.value;
var values = collection.values;
if ($.isNumeric(l_value) && l_startNaN) {
l_startNaN = false;
l_dashed.values.push(values[index]);
} else if ( !$.isNumeric(l_value) !== l_startNaN) {
l_startNaN = true
l_dashed.values.push(values[index-1]);
}
})
if (l_dashed.values.length % 2) { l_dashed.values.pop() }
return l_dashed;
});
}
Here the update working Plunker
DENMARK
Your code has concept errors. Thats why you see 'Denmark' like that.
Graphically:
Code generate multiples paths for every abailable data and just ONE path for all NA data. Instead it must generate a segments for every gap on data.-
BELGIUM
Belguim is a different history. The graph is ok, your data has isolated points (red dots) and can not be dismiss.
You can not draw a dashed-line from 1997-2009 (black arrow) because you'll discarding data.