i have a json array, with nodes and edges. It can be render like a flat graph, without intersections. But i got a spaghetti of edges. Can i configure library call to make it easy readable. I found a position field in configure options, but, as i see, it should to be calculated for each node by myself.
It it possible to solve by Cytoscape library?
Related
I am using the natural earth 10m files to reduce, simplify, and quantize them into TopoJSON. However, for my use case, I'm attempting to store the data on the server and request a country or region I am currently interested in to display with d3. Because of this I need to keep my file size fairly small.
I was able to write some hacky code to strip out the region geometry data and arcs from the full TopoJSON file and serve that at a reasonably small size. Unfortunately, I've come to realize that doing a mesh on this does not give me any results. If, however, I do not reindex all of the arcs and instead just inject empty arrays into the arc positions I don't need, mesh works fine.
Basically, my question is, is there a way for me to strip out a specific country or region from a large TopoJSON file? I don't mean just the geometry object since that's easy enough to do, but also reduce the main arcs array to only include what is needed. I'm struggling to find a clean way to do this.
Thanks!
I currently have a fairly basic composite line chart that looks like this:
I would like to add the following "dynamic" annotations to it:
By "dynamic" I mean that these totals and computed ratio need to be updated whenever the date filter is changed by the user, or there is a brush selection.
I am stuck on two aspects:
What is the recommended way to approach this? So far I have explored two paths:
Drawing SVG elements into the chart using a renderlet: I'm not able to access the crossfilter object to retrieve the data.
Create a custom D3 rendering outside of the chart: I'm not able to get the stats to update when the date selector is changed or the chart is 'brushed'. Also, this somehow reduces the flexibility of having the annotations within the chart itself (as far as I understand).
As an aside, can the ratio be computed directly in crossfilter? If so how?
The way you have this mocked up, I would recommend just setting these up as separate charts. Probably the best option is to use dc.numberDisplay.
Regarding computing ratios - yes, you can compute them in Crossfilter, but don't do that. Maintain both components of the ratio on a single Crossfilter group (using custom reducers, Reductio, or Universe) and do the division at reporting time. In dc.js, this means calculating the ratio in the valueAccessor of the chart.
I'm looking at plotting a scatterplot with a large number of points (500,000 and upwards).
Currently, we're doing this in Python with Matplotlib. It plots the points, and it provides controls to pan and zoom. I don't believe it provides any clustering or points, it just plots them all - doesn't make much sense at the zoomed out view, I suppose, but you can zoom in and they're all there.
I was looking at doing the chart in JavaScript, to make it a bit easier to distribute. I was looking at D3.js, to see if something similar is feasible there. I did find this example of a basic scatterplot:
http://bl.ocks.org/mbostock/3887118
Firstly, would you be able to plot that number of points? (500,000 and upwards) I was under the impression you couldn't due to the overhead of all the DOM objects? Are there ways around this?
Secondly, is there any kind of clustering available, either a library or even just an example of this being done in D3.js?
Thirdly, if anybody knows any good examples of pan/zoom functionality and clustering, or even just a packaged JS library that handles it, that would be awesome.
Fourth, it would be also nice to have click handlers for each point - and to display some text either in a overlay, or even just in a separate window. Any thoughts on this?
Can you draw half a million points with D3? Sure, but not with SVG. You'll have to use canvas (here's a simple example with 10,000 points that includes brush-based selection: http://bl.ocks.org/emeeks/306e64e0d687a4374bcd) and that means that you no longer have individual elements to assign click handlers to. You will not be able to render half a million points with SVG, because all those DOM elements will choke your interface, as you mentioned.
D3 does include quadtree support that can be leveraged for clustering. It's in use in the above example to speed up search but you could use it to nest elements in proximity at certain scales.
Ultimately, your choices are:
1) Some other library/custom implementation that renders in canvas and polls the mouse position to give you the data element rendered at that point.
2) A sophisticated custom D3 approach that nests elements in proximity and only renders SVG elements appropriate at the zoom level and canvas position (pan) you're at.
Yes, D3.js can be made to work with million scale data with two things:
pre-rendering on the server side. For more see here: https://mango-is.com/blog/engineering/pre-render-d3-js-charts-at-server-side/
By aggregating (or clustering) part of the data so that user can interact and expand the graph if need be. For this use collapsible nodes if you can (http://bl.ocks.org/mbostock/1062288).
Also avoid using force layout. It takes time to settle and converge to a stable positioning.
For clustering libraries, I would pick one up off the shelf. I would choose the scikits library from python, there are many in JavaScript but they are not very robust as they mostly cover k-means or hierarchical clustering. I would precalculate the coordinates using scikits by clustering and then render it using D3.
D3 handles Pan and zoom. Again click handlers and text display are available in D3. (http://bl.ocks.org/robschmuecker/7880033)
I'd like to visualize a 20K node dependency graph in d3. Force-directed graphs such as http://bl.ocks.org/mbostock/1153292 are too slow to render in the browser for this number of nodes.
Basically I want to represent nodes containing text and directed edges from one node to another, and add zooming and panning functionality. How can I go about doing this in d3?
Here's an alternative which doesn't seem to use force to lay out the nodes - there's no springing, performs well, and has built in upload/download facility. Its license is MIT/X:
Interactive tool for creating directed graphs using d3.js
directed-graph-creator
Operation:
drag/scroll to translate/zoom the graph
shift-click on graph to create a node
shift-click on a node and then drag to another node to connect them with a directed edge
shift-click on a node to change its title
click on node or edge and press backspace/delete to delete
The zoom behaviour (and pan) you would get basically for free through the zoom behaviour. The layout you would have to do yourself though -- the force layout is pretty much the only thing in D3 you can use to lay out a graph of this kind.
Regardless of what you're using, with 20K nodes anything dynamic is going to be pretty slow -- simply rendering all the elements is going to take quite some time during which the browser will seem unresponsive. An alternative you may want to consider is to pre-render the graph using something more suitable for large amounts of data, save the result as an image (or even static SVG) and add a little bit of D3 code on top for zoom/pan.
Good morning,
just starting with the awesome d3js library ...
I want to show only a portion of a graph with the force directed layout. The idea is to have one node declared as the "center" and show all nodes within a distance of two (for example) from this center node, the neighbors of the center node and the neighbors of the neighbors. If the user clicks on one of the displayed nodes it becomes the "new" center node and a different "subgraph" is displayed. I wonder if there is an example around implementing this kind of subgraph layout and if some kind of a "node-distance" algorithm is already implemented in d3js.
Thanks a lot
martin
UPDATE:
Just found the example Modifying a Force Layout which illuminates how to add and remove nodes and edges from a force directed layout.
I just uploaded a "proof of concept level" of an interactive force directed subgraph.
http://justdharma.com/d3/sub-graph/
In this example I use backbonejs under the hood. Being the first time I implement something with backbonejs, I for sure use it in a very crude manner. While this example might illuminate one way how an interactive sub-graph can be achieved it is for sure not a template how to do it - as said just a proof of concept hack ...
This isn't implemented in D3, and I'm not aware of any examples. What you would have to do is the following:
Set the fixed attribute of the new center node to true to prevent the force layout from changing its position.
Set the px and py attributes of that same node to the center position.
For each node in your force layout, compute the shortest path to the new center node.
Depending on the length of the path in each case, either remove the node or keep it.
The trickiest part here is the computation of the path from each node to the new center, but even this is a pretty standard algorithmic problem. Another thing to keep in mind is that you need to modify the data structures that contain the nodes and links of the force layout in place, i.e. you can't set new nodes and links for the force layout and expect everything to work smoothly.