Develop Reference

D3 Part of Dashboard not Displayed

I have been using D3 for about a year, and I have made dashboards in the past without issue. However, this time I have hit a rather strange bump in the road. I have a geographic dashboard with topo JSON and a horizontal bar chart under it that can be found at my gist/block here:
http://bl.ocks.org/diggetybo/77469aa2acec38f1870197724ea671d6
Note you may have to click to view the full view window, the blocks website seems to cap iframe height at 500. (you may disregard all files aside from index.html, the others are just source codes, and my tsv data file)
In the past, my typical dashboard technique is assigning a separate div for each graph of my dashboard. Whereas, the issue at hand here is that there SHOULD be horizontal bars visible under the map of the USA. However, despite much tinkering, the horizontal bars are not displayed. I have still appended them in the same way -- it has always worked for me in the past. So basically, I'm not sure why the horizontal bar chart is not being displayed.
Developer tools report that there are no errors at all -- which is strange. I can clearly tell that there is something wrong, because half of my dashboard is missing.
I have added comments in index.html to indicate where the bar chart portion of the code is. Specifically, lines:159-228.
It might also be helpful to articulate conceptually what the horizontal bar chart is 'doing', just in case. It is supposed to append rects from a variable that has sorted my parsed data from largest to smallest in value (d.fxb in my tsv), and given a fill as per a linear color scale.
UPDATE
I have closed off the style call, and now I'm trouble shooting the other errors. Sadly, I'm getting stuck at the first line of the bar chart portion of the code. Line 160. I have updated the gist, and I will include the relevant lines here for easy reference:
var values = data.fxb.sort(function(a, b) {
return -(a - b);
});
var name_value_array = json.features.name;
var name_values = name_value_array.sort(function(a, b) {
return -(a.value - b.value);
});
I'm getting an error that says: "cannot read property "sort" of undefined. To my knowledge, the array should be defined. This time around I was very careful about making sure everything was enclosed within the proper )} tokens. I triple checked to make sure these lines were still enclosed by the data parsing function. So I'm not sure why that's happening. I do have faith in the bottom portion of the bar chart code, so if someone can spot what is holding me up I would be very grateful.
Thank you

This won't solve all of your problems, but you have failed to close this style call.
.style("fill", function(d) {
// Get data value
var value = d.properties.fxb;
if (value=='None') {
return "#999999"
}
if (value) {
//If value exists…
return color(value);
} else {
//If value is undefined…
return "#999999";
}
You also then end up with an extra }); at the bottom of your script (where the style call finally gets closed)
There are more errors, but that is swallowing them and the reason that they are not showing up.

Strange Gridline Behavior

Dashboard 1: https://bl.ocks.org/diggetybo/073f2f9b4b9a0c88211c9c643e47e9a9
Dashboard 2: https://bl.ocks.org/diggetybo/c16c1168705ea18b7d8711c15e90f8ec
I would love if someone could explain why the gridlines in the second link on the bottom right-hand graph are of a higher tick interval (or whatever you want to call it) than the ones in the first link. The d3 template is one I made a few weeks ago and it's just something I'm copying and pasting to use with different data sets. However, despite hours of double checking everything, I'm still not sure why it's doing that.
The only thing that's different is the data, but they are of very similar types of data, the domains should be similar. For example, the bottom right hand graph is all positive number for both dashboards. Maybe it's being parsed differently for some strange reason?
Let me know how you did it, whether you brute forced the styling of the gridlines, or if you found the trigger of the problem. That is to say, why it chose to add so many more gridlines on that graph but none of the others.
Thank you

To regulate the number of ticks use ticks(4)
read here this will generate 4 ticks in x axis.
var xGridlineNodes = svg.append('g')
.attr('transform', 'translate(' + margins.left + ',' + (totalHeight - margins.bottom + axisPadding) + ')')
.call(xGridlinesAxis.tickSize(-graphHeight - axisPadding, 0, 0).tickFormat("").ticks(4));
The reason why there are more ticks in dashboard2 than in dashboard1 is because of the different data sets (there is no css tricks in that). May be some expert can throw some light on why more ticks.
Here is a working plunk in which i have regulated the number of ticks
If you know what the tick values will be then use tickValues read here

d3.v3 scatterplot with all circles the same radius

Every example I have found shows all of the scatter plot points to be of random radii. Is it possible to have them all the same size? If I try to statically set the radius all of the circles will be very small (I'm assuming the default radius). However, if I use Math.random() as in most examples there are circles large and small. I want all the circles to be large. Is there a way to do that? Here's the code snippet forming the graph data using Math.random() (this works fine for some reason):
function scatterData(xData, yData)
{
var data = [];
for (var i = 0; i < seismoNames.length; i++)
{
data.push({
key: seismoNames[i],
values: []
});
var xVals=""+xData[i];
xVals=xVals.split(",");
var yVals=""+yData[i];
yVals=yVals.split(",");
for (var j = 0; j < xVals.length; j++)
{
data[i].values.push({
x: xVals[j],
y: yVals[j],
size: Math.random()
});
}
}
return data;
}
Math.random() spits out values between 0 and 1 such as 0.164259538891095 and 0.9842195005008699. I have tried putting these as static values in the 'size' attribute, but no matter what the circles are always really small. Is there something I'm missing?

Update: The NVD3 API has changed, and now uses pointSize, pointSizeDomain, etc. instead of just size. The rest of the logic for exploring the current API without complete documentation still applies.
For NVD3 charts, the idea is that all adjustments you make can be done by calling methods on the chart function itself (or its public components) before calling that function to draw the chart in a specific container element.
For example, in the example you linked too, the chart function was initialized like this:
var chart = nv.models.scatterChart()
.showDistX(true)
.showDistY(true)
.color(d3.scale.category10().range());
chart.xAxis.tickFormat(d3.format('.02f'));
chart.yAxis.tickFormat(d3.format('.02f'));
The .showDistX() and .showDistY() turn on the tick-mark distribution in the axes; .color() sets the series of colours you want to use for the different categories. The next too lines access the default axis objects within the chart and set the number format to be a two-digit decimal. You can play around with these options by clicking on the scatterplot option from the "Live Code" page.
Unfortunately, the makers of the NVD3 charts don't have a complete documentation available yet describing all the other options you can set for each chart. However, you can use the javascript itself to let you find out what methods are available.
Inspecting a NVD3.js chart object to determine options
Open up a web page that loads the d3 and nvd3 library. The live code page on their website works fine. Then open up your developer's console command line (this will depend on your browser, search your help pages if you don't know how yet). Now, create a new nvd3 scatter chart function in memory:
var testChart = nv.models.scatterChart();
On my (Chrome) console, the console will then print out the entire contents of the function you just created. It is interesting, but very long and difficult to interpret at a glance. And most of the code is encapsulated so you can't change it easily. You want to know which properties you can change. So run this code in the next line of your console:
for (keyname in testChart){console.log(keyname + " (" + typeof(testChart[keyname]) + ")");}
The console should now print out neatly the names of all the methods and objects that you can access from that chart function. Some of these will have their own methods and objects you can access; discover what they are by running the same routine, but replacing the testChart with testChart.propertyName, like this:
for (keyname in testChart.xAxis){console.log(keyname + " (" + typeof(testChart.xAxis[keyname]) + ")");}
Back to your problem. The little routine I suggested above doesn't sort the property names in any order, but skimming through the list you should see three options that relate to size (which was the data variable that the examples were using to set radius)
size (function)
sizeDomain (function)
sizeRange (function)
Domain and range are terms used by D3 scales, so that gives me a hint about what they do. Since you don't want to scale the dots, let's start by looking at just the size property. If you type the following in the console:
testChart.size
It should print back the code for that function. It's not terribly informative for what we're interested in, but it does show me that NVD3 follows D3's getter/setter format: if you call .property(value) you set the property to that value, but if you call .property() without any parameters, it will return back the current value of that property.
So to find out what the size property is by default, call the size() method with no parameters:
testChart.size()
It should print out function (d) { return d.size || 1}, which tells us that the default value is a function that looks for a size property in the data, and if it doesn't exist returns the constant 1. More generally, it tells us that the value set by the size method determines how the chart gets the size value from the data. The default should give a constant size if your data has no d.size property, but for good measure you should call chart.size(1); in your initialization code to tell the chart function not to bother trying to determine size from the data and just use a constant value.
Going back to the live code scatterplot can test that out. Edit the code to add in the size call, like this:
var chart = nv.models.scatterChart()
.showDistX(true)
.showDistY(true)
.color(d3.scale.category10().range())
.size(1);
chart.xAxis.tickFormat(d3.format('.02f'));
chart.yAxis.tickFormat(d3.format('.02f'));
Adding that extra call successfully sets all the dots to the same size -- but that size is definitely not 1 pixel, so clearly there is some scaling going on.
First guess for getting bigger dots would be to change chart.size(1) to chart.size(100). Nothing changes, however. The default scale is clearly calculating it's domain based on the data and then outputting to a standard range of sizes. This is why you couldn't get big circles by setting the size value of every data element to 0.99, even if that would create a big circle when some of the data was 0.01 and some was 0.99. Clearly, if you want to change the output size, you're going to have to set the .sizeRange() property on the chart, too.
Calling testChart.sizeRange() in the console to find out the default isn't very informative: the default value is null (nonexistent). So I just made a guess that, same as the D3 linear scale .range() function, the expected input is a two-element array consisting of the max and min values. Since we want a constant, the max and min will be the same. So in the live code I change:
.size(1);
to
.size(1).sizeRange([50,50]);
Now something's happening! But the dots are still pretty small: definitely not 50 pixels in radius, it looks closer to 50 square pixels in area. Having size computed based on the area makes sense when sizing from the data, but that means that to set a constant size you'll need to figure out the approximate area you want: values up to 200 look alright on the example, but the value you choose will depend on the size of your graph and how close your data points are to each other.
--ABR
P.S. I added the NVD3.js tag to your question; be sure to use it as your main tag in the future when asking questions about the NVD3 chart functions.

The radius is measured in pixels. If you set it to a value less than one, yes, you will have a very small circle. Most of the examples that use random numbers also use a scaling factor.
If you want all the circles to have a constant radius you don't need to set the value in the data, just set it when you add the radius attribute.
Not sure which tutorials you were looking at, but start here: https://github.com/mbostock/d3/wiki/Tutorials
The example "Three little circles" does a good step-by-step of the different things you can do with circles:
http://mbostock.github.io/d3/tutorial/circle.html

second d3.js triggered from first doesn't fully iterate over X axis

Folks -
I'm now trying to trigger a second chart based on which series in the first chart is clicked on.
Based on which is chosen, one of two data sets are sent to the function:
.on("mouseup", function(d) {return d.myCat == 0 ? updateData(yesXYZData) : updateData(nonXYZData)})
This part works, but I'm getting one big stack in the target div, not the iteration I am expecting.
function updateData(whichDataSet) {...
I've tried putting the updateData() function into the window.onload function, duping or reusing various elements (since the domain and range for the X axis are the same, I expect to reuse).
[Note- I have taken Lars Kothoff's advice regarding numbers in the data object. Also, I will create a better data structure later, using crossfilter.js and native d3.js data manipulation- for now I need a working prototype demonstrating functionality.]
here is the gist:
https://gist.github.com/RCL1/6906892
Thanks in advance!
-RL

line 242 of the gist. I needed to use a non-filtered version of the data to calculate x axis (totalAll.map).

in d3js how can I filter data by clicking on stack bar

I'm trying to filter data by clicking on certain rect bar in a stacked bar. This stack bar is a two dimention graph, the horizontal index is years, and the vertical index different product revenues, I want to filter by certain product in certain year. means when I click on a rect bar of the whole graph, the data should get filtered by certain year and certain product.
my code is :
metrics.on("click", function(d,i,j){
d3.select(this)
.style("fill","lightcoral")
.style("stroke","red");
fdata =rawdata.filter(function(d){return (d[xvalue]==_seriesA[i])&&(d[yvalue]==_seriesB[j])});
});
but the weird thing is the value of j is always undefined, although if I attach a title to it :
metrics.append("title").text(
function(d,i,j) {
return i + ' - '+j ;
});
the value of j will get printed correctly, is there anything special about the 'on' click function? why I cannot get the value of j? any help will be appreciated....this is triving me crazy for the whole night...

According to the documentation, the second argument to .on() is a function that takes two arguments, not three. Similarly, it shouldn't work in your second example either.
I think you're getting confused about the distinction between the data and how it is rendered. The .on() function will get you the data. The scales you have created somewhere in your code take that data and map it to x and y coordinates in your graph (or you use the data directly without scales). In the .on() function, you use the data in exactly the same way you used it when you created the graph to start with. That is, the data item (d in your code) contains the data for the specific position that you're highlighting.