Pointlabels not displaying when data point is at maximum - jqplot

I have the following graph: http://synicworld.com/media/graph.png
Is there a way to get the pointlabel to show on the bars that have maximum value?

pointLabels {
edgeTolerance: 100
}
Looks like it's just edgeTolerance, which I had tried before, but not with a value high enough.

pointLabels {
edgeTolerance: -20
}
This will allow rendering of point labels even if they're too close to the edge. The negative value means there might be overlap onto the chart.

Related

AmCharts. Aligning balloons

I've spent a lot of time finding the solution, but i can't see any property in AmChatrts documentation that can align balloons not vertically. Actually, I just want to see all balloons, but not in one column. Can anybody help me?
There is currently no way to make the balloons stack in any different way than in once column. However, there are a few alternatives you can consider.
1) Displaying just one balloon.
To do that, set oneBalloonOnly to true:
var chart = AmCharts.makeChart("chartdiv",{
...
"chartCursor": {
"oneBalloonOnly": true
}
});
This will make the cursor display just one balloon of the closest graph.
2) Disable balloons and use a legend instead.
To disable balloons, simply set [valueBalloonsEnabled][3] in chart cursor's settings to false.
var chart = AmCharts.makeChart("chartdiv",{
...
"chartCursor": {
"valueBalloonsEnabled": false
},
"legend": {}
});
The legend will show relative value next to each graph title when you hover over the chart.
3) Consolidate values from multiple graphs into a single balloon.
To do that, use graph's balloonText property. It lets you reference to any field in data, so you can make it display values from any graph.
Here's a good example of the above.
Here's a good demo on how to do that.

DC.js Choropleth filtering Issue

I am trying to filter data on my choropleth chart from a bargraph. Strange thing is that it is not showing correct value on selecting a bar from the accompanying bar chart.
Here is the jsfiddle: https://jsfiddle.net/anmolkoul/jk8LammL/
The script code begins from line 4794
If i select WIN004 from the bar chart, it should highlight only five states and the tooltip should reflect the values for the data. Some states are highlighted for whom WIN004 does not exist.
I changed the properties of the choropleth from
.colors(d3.scale.quantize().range(["#F90D00", "#F63F00", "#F36F01", "#F09E01", "#EDCB02", "#DDEA03", "#ADE703", "#7EE404", "#50E104", "#24DE05", "#05DB11"]))
.colorDomain([-1, 1])
To
.colors(d3.scale.linear().range(["green", "white", "red"]))
.colorDomain([-2, 0, 2])
But i get a lot of white states where its hard to discern what has been highlighted. The tool tip for some white-ed-out states show -0.00 :/
Here is the fiddle http://jsfiddle.net/anmolkoul/jk8LammL/1/
So i guess either its a problem with my color range or how my data is getting parsed.
I would ideally like to specify the data ranges in the .colorDomain based on the top and bottom values of the riskIndicator dimension. My functions are not working though. Should i use d3.max or riskIndicator.top here?
EDIT:
I got the color domain dynamic by using the min and max values but still the graph is not performing as expected? Could this be an issue with the geochoropleth chart? I further took a working geochoropleth example and ported my data to it and even that gave me the same issue of representing data incorrectly. I thoughit could be a data problem but i validated using a couple of good BI tools and their map charts displayed data correctly.
Could this be an issue with the dc choropleth?
Thank you.
Anmol
This has the same root cause as the issue in this question:
Crossfilter showing negative numbers on dc.js with no negative numbers in the dataset
In short, floating point numbers don't always cancel out to zero when added and subtracted. This "fake group" will ensure they snap to zero when they get close:
function snap_to_zero(source_group) {
return {
all:function () {
return source_group.all().map(function(d) {
return {key: d.key,
value: (Math.abs(d.value)<1e-6) ? 0 : d.value};
});
}
};
}
Added it to the FAQ!

D3 circle packing diameter calculation

I am using the pack layout for packing different no of equal sized circles. I have a group of clusters to be visualized. So I am calling pack function for each cluster of circles. In all the d3 examples the diameter is either calculated with the given size or fixed diameter. I would like to calculate it according to the no of circles to be packed. So how do I calculate the packing circle diameter?
is there any formula so that I can pack the circles without wasting the space.
If you truly don't care about relative sizing of the circles, then you could make your JSON file represent only the data you care about(say, names) and feed your packing function a dummy value that the 'value' accessor function is expecting.
For instance:
var circleChildren = [{
"value": 1
}, {
"value": 1
}, {
"value": 1
}, {
"value": 1
}];
would give you a JSON object that you can use as children for your packing function:
var circleInput = Object();
circleInput.children = circleChildren;
You can verify that in your console by running:
bubble.nodes(circleInput)
.filter(function (d) {
return !d.children; //we're flattening the 'parent-child' node structure
})
where bubble is your D3 packing bubble variable.
Here's a fiddle that demonstrates that. It may have some extra things but it implements what you're looking for. In addition, you can play around with the number of circles by adding more dummies in the JSON file, as well as changing the SVG container size in the diameter variable. Hope that helps!
EDIT: The size of your layout(in this case, a misnomer of the 'diameter' variable) directly determines the size and diameter of your circles within. At some point you have to assign the pack.size() or pack.radius() value in order for your circles to display within a layout(documentation ):
If size is specified, sets the available layout size to the specified two-element array of numbers representing x and y. If size is not specified, returns the current size, which defaults to 1×1.
Here you have several options:
If you want your circles to be 'dynamically' sized to your available element's width (that is, if you want them to cover up all the element width available) then I'd recommend you get your element's width beforehand, and then apply in your pack() function. The problem is then you have to think about resizing, etc.
If you want to keep the maximum sizing available, then you have to make your viz responsive. There's a really good question already in SO that deals with that.
I know this isn't the full solution but hopefully that points you in the right direction for what you're trying to do.
FURTHER EDIT:
All of a sudden, another idea came to mind. Kind of an implementation of my previous suggestion, but this would ensure you're using the maximum space available at the time for your circle drawing:
zone = d3.select("#myDiv");
myWidth = zone.style("width").substring(0, zone.style("width").length - 2);

JQPLOT - How to use breakpoints

I am trying to implement a horizontal bar graph using jqplot library.
In my case, some of the bars of the graph might show extraordinary spike so for example if the 3 bars of my graph have data value of 150(max), the spiked bar might have a data value of 1000.
To accomodate this requirement, I went through the documentation of jqplot and found out that they have something called "breakpoint" to break the axes at some particular place.
http://www.jqplot.com/docs/files/jqplot-linearAxisRenderer-js.html#$.jqplot.LinearAxisRenderer.breakPoints
Now suppose my data for the series looks like this :
[100, 150, 50, 250, 1200, 100]
How in the above case can i make sure that jqplot inserts a breakpoint after 250 and continues the axes ticks at 1200?
[Edited] Ok, so after using the below code I am able to get the breakpoints working:
chart.axes.xaxis.breakPoints=[10,100];
chart.replot();
(i also went through the jqplot source and found out that for breakpoints to work, we need to manually set the ticks, which I did)
But my original problem is still at large!
Suppose my series looks like
[100, 200, 300, 20000]
In this case, even if I use breakpoints, my 3 bars which are of considerably lesser weight seems very tiny as compared to the 4th bar (20000 weight)
this makes the graph unreadable.
Can some one please suggest a way out of this?
"How to implement breakpoints": A replot of data as mentioned above, is not the right way to use breakpoints:
chart.axes.xaxis.breakPoints=[10,100]; chart.replot();
Hava a look on that piece of code, I solved the breakpoint issue:
Having all data values of my barchart < 200 exept of one bar value > 850 i would like to set a breakpoint between 250 and 850.
And here it's how this can be done:
axes: {
xaxis: {
renderer: $.jqplot.CategoryAxisRenderer,
ticks: ticks
},
yaxis: {
ticks: [0,50,100,150,200,250,275,825,850,900,950],
tickOptions: {
formatString: '%.0d'
},
renderer: $.jqplot.LinearAxisRenderer,
rendererOptions: {
breakPoints: [275,825],
breakTickLabel: "≈",
forceTickAt0: true
}
}
Important:
Use the LinearAxisRenderer.
add your ticks manually in an array.
set the breakpoint with the rendererOptions.
The Array with the ticks, HAS TO CONTAIN the values, which you like to set the breakpoints in the rendererOptions.
Regards
Matthias
P.S.: I also have a picture of the graph, but you don't allow me to post images until I get 10 reputations.

Setting jqplot minimum bar height

I want to set a minimum height on a stacked bar so that it always shows no matter how small the value.
Example:
If the stacked values are relatively close, the bars show no problem:
http://i41.tinypic.com/b88rc6.png
But if the values differ by a lot, then the smaller bar is not visible on the graph:
http://i40.tinypic.com/15rxwz6.png
I tried reading through the docs but didn't find any options for this. Help is appreciated!
Try to assing the smaller values to an other yaxis, so the graph will show 2 different yaxes, the first with a big interval, the second with an interval that permits to show correctly the smaller values (if you want to show the difference between the two kind of data, you could use min and max on the smaller yaxis).
axes: { [...], yaxes: { -big values- }, y2axes: { -small values-, min: -10, max: 10 }}
Don't know if that answer would be useful to you.

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