So I've been picking up D3.js to visualize some data I have, and I need a bit of help understanding why certain things happen.
I took the code from this example on the D3 site, and modified it to read from a flat CSV rather than a flattened JSON file. Here's what it looks like:
d3.csv("top-brands.csv", function(csvData) {
var data = { name: "brand", children: csvData };
var node = svg.data([data]).selectAll(".node")
.data(pack.nodes)
.enter().append("g")
.attr("class", "node")
.attr("transform", function(d) { return "translate(" + d.x + "," + d.y + ")"; })
node.append("title")
.text(function(d) { return d.brand; });
node.append("circle")
.attr("r", function(d) { return d.r; })
.style("fill", function(d) { return color(d.brand); });
node.append("text")
.attr("dy", ".3em")
.style("text-anchor", "middle")
.text(function(d) { return d.brand; });
});
It seems to work quite well, in the sense that my bubbles all get drawn with the correct data, but there are two niggling issues that keep coming up:
It keeps drawing a large circle that encloses the other circles. It appears to be as large as the canvas allows (480px by 480px) but I have no idea how to make it go away. Is it because of how my data is processed?
If I try to do anything with "d.brand" in any way, it will tell me that d.brand is undefined. The example from the D3 site takes the title and gets the substring if the length is too long, but I can't seem to do that. Is it because of the way I'm pulling my data?
Appreciate any help! I can't really provide example CSVs because it's proprietary data, but it's just three columns: brand, count, and proportion, which is a string, an int, and a float (percentage) in that order. Dummy data would work just fine, I think.
Thanks SO!
Related
I have a map of the USA that I'm trying to display lat/lon points over. I've mashed together a few examples to get this far, but I've hit a wall. My points are in a csv file, which I'm not sure how to upload here, but it's just 65,000 rows of number pairs. For instance 31.4671154,-84.9486771.
I'm mostly following the example from Scott Murray's book here.
I'm using the Albers USA projection.
var projection = d3.geo.albersUsa()
.scale(1200)
.translate([w / 2, h / 2]);
And setting up the landmarks as an svg group appended to the map container.
var svg = d3.select("body").append("svg")
.attr("width", w)
.attr("height", h)
.on("click", stopped, true);
svg.append("rect")
.attr("class", "background")
.attr("width", w)
.attr("height", h)
.on("click", reset);
var g = svg.append("g");
var landmarks = svg.append("g")
I read the data and try to set circles at each lat/lon point.
d3.csv("./public/assets/data/landmark_latlon_edited.csv", function(error, latlon){
console.log(latlon);
landmarks.selectAll("circle")
.data(latlon)
.enter()
.append("circle")
.attr({
'fill': '#F00',
'r': 3
})
.attr('cx', function(d){
return projection([d.lon, d.lat][0]);
})
.attr('cy', function(d){
return projection([d.lon, d.lat])[1];
})
.style({
'opacity': .75
});
});
Now, the problem is that the cx property is not receiving a value. When viewed in the inspector the circles don't show a cx, and, indeed, appear in the svg at the appropriate y values, but in a stacked column at x=0.
<circle fill="#F00" r="3" cy="520.8602676002965" style="opacity: 0.75;"></circle>
I found an old issue I thought might be related here which states that the projection method will return null if you try to feed it values outside of its normal bounding box. I opened the csv in Tableau and saw a couple values that were in Canada or some U.S. territory in the middle of the Pacific (not Hawaii), and I removed those, but that didn't solve the problem.
I'm decidedly novice here, and I'm sure I'm missing something obvious, but if anyone can help me figure out where to look I would greatly appreciate it. Lots of positive vibes for you. If I can add anything to clarify the problem please let me know.
Thanks,
Brian
I had the same problem when I updated to d3 v3.5.6. Here is what I did to check for null values, so that you don't try to access the [0] position of null:
.attr("cx", function(d) {
var coords = projection([d.lon, d.lat]);
if (coords) {
return coords[0];
}
})
I'm sure there is a cleaner way to do this, but it worked for me.
You have a little error in your function generating cx values which messes it all up. It's just one parenthesis in the wrong place:
.attr('cx', function(d){
return projection([d.lon, d.lat][0]);
})
By coding [d.lon, d.lat][0] you are just passing the first value of the array, which is d.lon, to the projection and are returning the result of projection() which is an array. Instead, you have to place the [0] outside the call of projection() because you want to access the value it returned. Check your function for cy where you got things right. Adjusting it as follows should yield the correct values for cx:
.attr('cx', function(d){
return projection([d.lon, d.lat])[0];
})
I'm trying to place labels using the larskotthoff block page http://bl.ocks.org/larskotthoff/11406992
The issue I'm having is where the labels translate is worked out on the line.
.attr("transform", function (d) {
return "translate(" + projection(d.geometry.coordinates[0][0][0]) + ")";
})
So in his guide he is not doing d.geometry.coordinates[0][0][0] but just d.geometry.coordinates. This works for him because he is not working out the labels for multi-polygons because when I tried without the [0][0][0]
So my labels are not where they should be as you can see in the following image.
Although I've managed to get the labels drawing the structure of my feature (in this case d) is different and not a single array of coordinates. It is a 3 dimension array. So for this reason the placement (translate) is happening based on the first element [0][0][0] of each dimension. How do I overcome this? I want it to work out its placement from the whole set of polygons. Does d3 make something available for this?
UPDATE: Solution (thanks to Lars)
.data(json.features)
.enter().append("text")
.attr("class", "place-label")
.attr("transform", function (d) {
console.log("test");
return "translate(" + path.centroid(d) + ")";
})
.attr("x", function (d) {
return path.centroid(d)[0] > -1 ? 6 : -6;
})
.attr("dy", ".35em")
.style("text-anchor", function (d) {
return path.centroid(d)[0] > -1 ? "start" : "end";
})
As Lars Kotthoff confirms in comment. To get the centre location from a node/feature you can use path.centroid as described in the d3 documentation below.
Path.centroid
I've created a plunk to demonstrate my problem.
The issue is that my .enter(),update(),exit() method is not working for my d3.chart.layout() visualization.
Instead, I get the classic "double post" problem. My keys are the same, however.
What I want to happen is for my d3 steam graph to update its data (such that the y values all go to 0, and the chart disappears). My data binding is coded normally:
var steam = svg.selectAll(".layer")
.data(layers, function(d){console.log(d); return d.key})
steam.enter().append("path")
steam.style("fill", function(d, i) { return z(i); }).style("opacity","0").transition().duration(400)
.style("opacity","1")
.attr("class", "layer")
.attr("d", function(d) { return area(d.values); })
steam.exit().transition().duration(500).remove()
What is happening/any ideas?
So I got it to work, though I'm still confused as to why it works this way. I needed to move the svg adding out of the update function and into the namespace (that was obvious).
But the update became this, with a transition() method. Can anyone help me understand where I went wrong?
test = svg.selectAll("path").data(layers, function(d){return d.key})
test.enter().append("path")
test.style("opacity",1).style("fill", function(d, i) { return z(i); })
.attr("class", "layer").transition()
.duration(2000)
.attr("d", function(d) { return area(d.values); });
test.exit().transition().duration(1500).style("opacity",0).remove();
Currently I am learning some "D3.js" and attempting to get my head around the way data is processed and selected.
I'm stuck on the following task I've created for myself.
Ideally, I want something that is functionally equivalent to:
<svg>
<circle r="20.5" cx="100" cy="200"></circle>
<circle r="20.5" cx="300" cy="10"></circle>
</svg>
What I have currently (with my logic) is:
var matrix = [ [{ "x": 100, "y": 200 }], [{ "x": 300, "y": 10 }]];
var result = d3.select("body").append("svg") // Append SVG to end of Body
.data(matrix) // select this data
.selectAll("g") //g is a svg grouping tag
.data(function (d) { return d; }) //Unwrap the first part of the array
.enter() // Grab all the data that is new to the selection in each array
.selectAll("g")
.data(function (d) { return d;}) // foreach each item inside the 1D array
.enter() // For all the data that doesn't exist already in the SVG
.append("circle") // Append Circle to the DOM with the following attributes
.attr("r", 20.5)
.attr("cx", function (d) { return d.x; })
.attr("cy", function (d) { return d.y; });
};
Weirdly enough the following :
var result = d3.select("body").append("svg")
.data(matrix)
.selectAll("g")
.enter()
.append("circle")
.attr("r", 20.5)
.attr("cx", function (d) { return d.x; })
.attr("cy", function (d) { return d.y; });
};
Seems somehow able to get the first item in the array but doesn't iterate correctly. I'm not quite sure how it's entering the array.
D3 seems to be quite a big step away from the programming paradigms I'm used to, and more difficult to debug so it would be awesome if someone could explain where I'm going wrong.
Oh, and while the example is quite useless and I could flatten it using the merge command - for the purposes of fully understanding D3 manipulation. I'd like to draw the couple of circles without the merge :)
Thanks!
Seeing you mention that you're new to d3 I'll make a few comments on the basics.
The first is that we're trying to place some svg elements on the DOM, so first we have to have a svg canvas to work on. Typically its set up early in the code and looks something like this:
var svg = d3.select("body")
.append("svg")
.attr("width", 350)
.attr("height", 250);
Note that it would be best to define variables for height and width (but I'm being lazy).
So now you have your canvas lets look at how d3 iterates. d3 iterates over an array, so you don't have to have an array within an array for your example as in:
var matrix = [ { "x": 100, "y": 200 }], [{ "x": 300, "y": 10 }];
Now you're second block of code is almost there, with just a bit of rearrangement. The first thing we need to do is t create placeholders for the circles in your svg canvas using svg.selectAll("circle"). Next we introduce the data to the empty placeholders using data(matrix) and this is bound using 'enter()`. Now all we have to do is append the circles and give them some attributes which is all the rest of the code does
svg.selectAll("circle")
.data(matrix)
.enter()
.append("circle")
.attr("r", 20.5)
.attr("cx", function (d) {
return d.x;
})
.attr("cy", function (d) {
return d.y;
});
You can see this all put together in this fiddle with some minor changes.
If you want to get to know d3 I'd really recommend get Scott Murray book on d3 it's an excellent introduction
I am using d3.js to build a stacked bar graph. I am referring to this graph http://bl.ocks.org/mbostock/3886208
I want to add a small square of different color on the bars which have equal value. For example in this graph- if population of 25 to 44 Years and 45 to 64 Years is equal then i want to show a square of 10,10(width,height) on both bars related to CA. This is what I was doing but its not showing on the bar:
var equalBar = svg.selectAll(".equalBar")
.data(data)
.enter().append("g")
.attr("class", "equalBar")
.attr("transform", function(d){ return "translate(" + x(d.states) + ",0"; });
equalBar.selectAll("rect")
.data(function(d) { return d.ages;} )
.enter().append("rect")
.attr("width", 10)
.attr("y", function(d){
return y(d.y1);
})
.attr("height", function(d)
{ return 10; })
.style("fill", "green");
Thanks a lot for help.
What you're trying to do isn't really compatible with the D3 approach to data management. The idea of selections relies on the data items to be independent, whereas in your case you want to compare them explicitly.
The approach I would take to do this is to create a new data structure that contains the result of these comparisons. That is, for each population group it tells you what other groups it is equal to. You can then use this new data to create the appropriate rectangles.