As a newbie loving D3, I am trying to visualize data movement from source to destination that goes through multiple systems. But I am having hard time identifying suitable layout. Tried using Chord and Tree but don't know how to represent intermediate systems visually. Are there any recommendations/rule of thump on which layout/diagram is more appropriate for a given purpose (e.g.data lineage)?
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I am looking for a way to create a visualisation of live data (temp., humidity) from within a multi-story building overlaid on the floor plans. Each floor will likely be a projected iso view, laid over one-another.
I will most likely be using D3.js for the plotting, but am open to others.
I am currently considering two options:
using a 3D plot projection, and adding the floor plans as custom data.
creating custom TopoJSON files for each floor, and using a custom projection.
I am leaning toward the former.
Has anyone done any similar projects using purely indoor geospacial information? I can't seem to find any examples.
Any thoughts on which of the above two, and any other alternatives, will provide a more elegant or simple design?
I'm trying to build a model of a 360-degree view of the surrounding environment from a distance sensor for continuous rotation (radar). I require a data structure for making a quickly computable strategy that will bring a robot to the first clear of obstacles point (or where the obstacle is far away).
I thought to a matrix of 360 numerical elements in which each element represents the detected distance in that degree of circumference.
Do you know a name for this data structure (used in this way)?
There are better representations for the situation I described?
The main language for the controller is Java.
It sounds to me that you are aware that your range data is effectively in polar co-ordinates.
The uniqueness of working with such 360° is in its circular, “wrap-around” nature.
Many people end up writing their own custom implementation around this data. Their is lots of theory in the robotics literature based on it for smoothing, segmenting, finding features, etc. (for example: “Line Extraction in 2D Range Images for Mobile Robotics”.)
Practically speaking, you might want to then consider checking out some robotics libraries. Something like ARIA. Another very good place to start is to use WeBots to emulate/model things - including range data - before transferring to a physical robotics platform.
I'm fairly new to D3 and have been tasked with developing a force directed graph, however this diagram is unlike any examples I have found and I seem to have encountered quite a few issues.
I'm trying to develop something like this:
http://www.huzzahstudios.com/images/profile_page_simple.jpg
The biggest problem I am having so far is that the nodes containing text tend to overlap quite considerably and collision detection on the shape they form does not seem to be functioning as expected.
Basically I need:
- Nodes to never overlap in resolved state
- Nodes to resolve in similar locations (as per diagram above)
- Graph to be able to adapt acceptably depending on amount of data
This is what I have so far: http://jsfiddle.net/lucidlyle/SwV9s/4/
As you can see it's very messy at the moment, any help with this matter would be most appreciated.
Thanks
I have created a simple line graph with data from a mySQL database using PHP to return the data in JSON format.
https://gist.github.com/5fc4cd5f41a6ddf2df23
I would like to simulate "live" updating something similar to this example, but less complicated:
http://bl.ocks.org/2657838
I've been searching for examples on how to achieve this simply as new to D3 - to no avail.
I've looked at Mike Bostock's http://bost.ocks.org/mike/path/ path transitions, but not sure how to implement this using json data.
Can anyone help with either an example or some direction on how I could accomplish this?
Doing that kind of line transformations is tricky in SVG because moving large number of points just a little and rerendering the complete line can hurt performance.
For the case when interactivity with each data point is not paramount and the time series can grow to contain arbitrary number of points, consider using Cubism. It is a library based on d3 but meant specially for visualizing time-series data efficiently. To prevent rerendings of SVG, it draws the points on a canvas, allowing for cheap pixel by pixel transitions as new data arrives.
Can anyone please tell me that once I've created a graph using Boost Graph library, how can I display that graph?
My biggest concern is that the edge weights are coming from an exernal data source over the network. And I need to be able to display the edgeweights live as they get updated.
Displaying graphs is a little bit harder then you seem to imagine. Your best bet is to use GraphViz through write_graphviz to create a visual representation of your graph.
Updating that graph "live" is a lot harder and you won't get anywhere with GraphViz but would need some real-time-graphics API and graph layouting algorithms that work continously.