Following the c3js documentation there is no option for Bubble chart. One workaround for that is to setup scatter plot and specify point radius, but all of the bubbles will be the same height.
point = {
r: function(d) {
var num = d.value;
return num
},
Adding the value of axis inside the r solve the problem, but now the problem is how to setup very high or very low values ? For e.g if there is 1 000 000 value the whole chart will be colored. Is there any simple workarounds for that ?
First of all, set r to return the square root of your chosen variable e.g. return sqrt(num), that way a circle representing a data point 100 times the size of another has 100, not 10,000, times the area (area=pi r2 and all that)
If the numbers are still too big use a linear scale to restrict them to a usable size:
rscale = d3.scale.linear().domain([1,1000]).range([0,10])
and then return rscale(sqrt(num))
If your problem is to represent large and small values on the same chart so small values don't disappear and large values don't exceed the chart size look at using a d3 log scale:
rscale = d3.scale.log().base(10).domain([1,1000]).range([0,10])
Of course on a log scale the areas aren't linearly proportionate any more so whether the sqrt step is necessary is debatable. If you don't just remember to adjust the domain to account for this - change it to domain([1,1000000])
if you don't know the size of your numbers beforehand it will be worthwhile looping through your dataset to pick out the min and max to plug into the domain value: domain([your_min, your_max]). my examples above all assume a max of one million.
Here's an example I forked on jsfiddle, numbers from a few hundred to over a hundred thousand are displayed using a log scale and all are visible but the differences are still obvious:
http://jsfiddle.net/m9gcno5n/
Related
I am currently using chart.js to plot spectral data from a EMI receiver. There are over 16000 (x,y) data indexes within each dataset and therefore I have made it so only the lines show without any points.
I now have a list of a few certain (x,y) value pairs that I would like to put points/markers on and add tooltips for. Is there a way to add tooltips and/or points or markers to only certain (x,y) value pairs within each dataset?
Any help would be appreciated. I will update with any photos/code if needed as I currently do not have an attempt at a solution for this.
EDIT1:
As you can see, it is very difficult to select the maximum point of the peaks due to how many data points make up the chart. I want to select only the local maximums and display tooltips for those points.
options.elements.point has a prop called radius. Radius can take either a number or an array of numbers. A single number will determine the radius for all of the points in your chart but the array will be able to determine each element's radius. This way you are able to selectively determine each point's radius with full control.
A solution for your example might look like this:
const options = {
elements: {
radius: allPoints.map(point => {
const maxPoint = Math.max(allPoints)
// return radius 0 for every point that is not the max and radius 1 (or bigger if needed) for the maximum point
return point == maxPoint ? 1 : 0
})
}
}
I'm using Highstock (v4.2.3) to present data in a StockChart with a number of different Y axes, all plotted against time on the X axis. The data has gaps in it, and I'd like to depict those gaps, but when I turn on gapSize (with any value other than zero), there's a weird quirk that causes line rendering issues--when using the navigator to zoom in on certain date ranges (not all), in some cases (whose pattern I've yet to discern) the chart fails to fully render the line across the entire x axis.
This annotated screenshot depicts the issue.
When I turn gapSize off (or explicitly set it to zero), this problem goes away. Note that the gaps themselves appear correctly on the chart (when navigating to a date range that doesn't present the line rendering issue).
plotOptions: {
series: {gapSize:2}
}
Any ideas?
jsFiddle with your issue:
http://jsfiddle.net/2N52H/109/
As you can read in our API:
http://api.highcharts.com/highstock#plotOptions.line.gapSize
A gap size of 5 means that if the distance between two points is
greater than five times that of the two closest points, the graph will
be broken
As far as I know data you have has random gaps so you will never know what is the distance between two closest points. For example if you will have data in every one hour, distance between two closest points will be 15 minutes and your gapSize will be set to 2, you will see only your closest points.
When you are using zoom sometimes your visible data closest distance is changing so the gaps are changing as well.
See this example:
http://jsfiddle.net/2N52H/111/
Maybe you can use xAxis.ordinal parameter to visualise your gaps:
http://api.highcharts.com/highstock#xAxis.ordinal
You can also change standard functionallity by using wrapper. Here you can read about it:
http://www.highcharts.com/docs/extending-highcharts/extending-highcharts
For example you can change gappedPath function:
(function(H) {
H.wrap(H.Series.prototype, 'gappedPath', function(proceed) {
var gapSize = this.options.gapSize,
xAxis = this.xAxis,
points = this.points.slice(),
i = points.length - 1;
if (gapSize && i > 0) { // #5008
// extension for ordinal breaks
while (i--) {
if (points[i + 1].x - points[i].x > gapSize) {
points.splice( // insert after this one
i + 1,
0, {
isNull: true
}
);
}
}
}
return this.getGraphPath(points);
})
}(Highcharts))
example:
http://jsfiddle.net/2N52H/113/
Kind regards.
In d3, if you want to create an axis you might do something like this:
var xAxis = d3.svg.axis()
.scale(x)
where x is a scale function. I understand that the domain of x defines the start and ending values for the ticks. I'm having trouble understanding how the range of x changes the resulting axis. What does the domain map to in the context of an axis.
Think about what one must do to create a visual representation of any data set. You must convert each data point (e.g. 1 million dollars) into a point on the screen. If your data has a minimum value of $0 and maximum value of $1000000, you have a domain of 0 to 1000000. Now to represent your data on a computer screen you must convert each data point (e.g. $25) into a number of pixels. You could try a simple 1 to 1 linear conversion ($25 converts to 25 pixels on the screen), in which case your range would be the same as your domain = 0 to 1000000. But this would require a bloody big screen. More likely we have an idea of how large we want the graphic to appear on the screen, so we set our range accordingly (e.g. 0 to 600).
The d3 scale function converts each data point in your dataset into a corresponding value within your range. That enables it to be presented on the screen. The previous example is a simple conversion so the d3.scale() function is not doing much for you, but spend some time converting data points into a visual representation and you will quickly discover some situations where the scale function is doing a lot of work for you.
In the particular case of an axis, the scale function is doing exactly the same thing. It is doing the conversion (to pixels) for each 'tick' and placing them on the screen.
I only had 5 values[1,2,3,4,5] as my y - coordinates in the d3.js line plot. But, I end up getting more values [0.5,1,1.5,2,2.5,3,3.5,4,4.5,5] Is there a way to edit the d3.js file or the html file inorder to plot the values as per my requirement?
The tick marks created by a d3 axis can be controlled in two ways:
Using axis.tickValues(arrayOfValues) you can explicitly set the values that you want to show up on the axis. The ticks are positioned by passing each value to the associated scale, so the values should be within your scale's domain. This works for any type of scale, including ordinal scales, so long as the values you give are appropriate to that scale.
Alternately, using axis.ticks(parameters) you can modify the way the scale calculates tick marks. The types of parameters you can use depends on the type of scale you're using -- the values you specify will be passed directly to the scale's .ticks() method, so check the documentation for each scale type. (Parameters will be ignored for ordinal scales, which don't have a ticks() method.)
For linear scales, the scale.ticks() method accepts a number as a parameter; the scale then generates approximately that many ticks, evenly spaced within the domain with round number values. If you do not specify a tick count, the default is to create approximately 10 ticks, which is why you were getting ticks on 0.5 intervals when your domain was from 0 to 5.
So how do you get the behaviour you want (no decimal tick values)?
Using .tickValues(), you would create an array of unique Y-values to be your ticks:
var yValues = data.map(function(d){return d.y;});
//array of all y-values
yValues = d3.set(yValues).values();
//use a d3.set to eliminate duplicate values
yAxis.tickValues( yValues );
Be aware that this approach will use the specified y values even if they aren't evenly spaced. That can be useful (some data visualization books suggest using this approach as an easy way of annotating your graph), but some people may think your graph looks messy or broken.
Using .ticks(), you would figure out the extent of your Y domain, and set the number of ticks so that you do not have more tick marks then you have integers available on your domain:
var yDomain = yScale.domain();
yAxis.ticks( Math.min(10, (yDomain[1] - yDomain[0]) );
This will create the default (approximately 10) ticks for wide domains, but will create one tick per integer value when the difference between the max and min of your domain is less than 10. (Although the tick count is usually approximate, the scale will always prefer integer values if that matches the tick count specified.)
Yes you can also try
yAxis.ticks(5).tickFormat(D3.numberFormat(",d"));
It does the trick of eliminating the decimal numbers, does not effect number of ticks
Here is a good resource for the format of the numbers using D3.
I have a dynamic data array that contains 3 ints that are used to build a pie chart. In most cases it works fine IE: [5, 10, 3]. The pie chart renders correctly and you see all the pieces.
However in some cases the numbers can be widely different. IE [1,500,250] or [400,1,2]. When this is the case you will only see the larger of the pie pieces and the smaller ones become so small they can not be seen; or clicked.
I need some way of correcting the data array for these cases. I have the ability to retain the true value while adjusting the display value so the pieces show up. What I am looking for is a check to see if it's necessary and then a relative number to adjust it by based on the other values.
Suggestions?
Well firstly I'd say you aren't so much "correcting" the data as fudging the data to meet your requirements.
Basically, there is a minimum percentage for which a slice of that proportion will be clickable and you will need to bring all pieces up to at least this size.
Of course - this can't work at the most extreme examples. If you had 1,000,000 slices all of the same value then no matter how you scaled them, some of them are going to be too small (or all of them).
You also need to be aware of how scaling certain very small slices will throw out the apparent proportions between other, larger, slices.
But - a very crude way of doing it could be something like...
var minPC = 0.5 , // the minimum %age slice visible
total; // total should be set to the sum of the values of all your slices
var minValue = total / 100 * minPC; // The smallest value visible (given the current total)
for (var slice in slices) { //assuming slices is a standard JS 'array'
if ( slices[slice] < minValue ) slices[slice] = minValue;
}
of course making the slices bigger like this will in turn increase the total - meaning that the small slices will still be less than the minimum visible percentage. You will need to make minPC sufficiently large to cope with this. And of course the more very small slices you have the worse this effect will be. You could account for this be re-scaling the larger slices.
However - I would advise you find a better way of the user interacting with the data by letting them select on/off slices - or by having slices 'explode'.
You seem to want to resize the segments of the pie if they are too small to make them visible/clickable.
May I suggest that instead of solving the problem this way (which would give an invalid
representation of the data), you could instead use labels outside of the pie chart to point at the segments? These labels could then, themselves, be made clickable.
The sum of the values in your array represent the entire "size" of the pie. The percentage of the pie each value has is the visual weight of that piece. You probably want to set a minimum threshold for the percentage size of each piece (the minimum threshold would be related to the diameter of your chart).
ie. [500, 490, 10] -> [500/1000, 490/1000, 10/1000] -> [50%, 49%, 1%]
If any value is less than your minimum threshold, you need to increase it to the minimum threshold and adjust your other values accordingly, so they all add up to 100%
It is related with fact that all points are sum and each value is calculated to pixels.