For example, the results of a three-dimensional simulation are four-dimensional data (x,y,z,p).
The first three are just spatial coordinates, and the last one is pressure.
How could I plot those data?
Good day, I believe Power BI can be suitable for your problem. You can find some customs solutions, for example,
https://appsource.microsoft.com/en-us/product/power-bi-visuals/WA200000430?src=office&tab=Overview .
Please notice, it is possible to embed the Power BI visuals to your website or Jupiter Notebook.
Your "p" could be plotted as color with a color scale and/or as a shape with the shape size as a function of a range of "p". If your spatial are geo-referenced you could use arcGIS or KML. Here is an example of 4D data using KML:
http://www.hitechmex.org/US_desal/US_desal.html
Hope this helps.
Just a little clarify my question. For example, if we do a simulation with commercial software, for example, COMSOL. After we get the results, the build_in post-processor in COMSOL could make the data visualized. However, if we have our only simulation tool, we don't have the post-processor and we just have the simulation results (x,y,z,p). How could I plot these data?
Hi, as to my opinion you can look into visualization for 3D laser Doppler vibrometer or accelerometer, 4D flow MRI (?) is also might be of interest e.g.
Applications of 3D Scanning Laser Doppler Vibrometry to an Article with Internal Features https://www.osti.gov/servlets/purl/1406947
https://tinycircuits.com/blogs/learn/3d-imu-visualizer
Article 4D Flow Imaging: Current Status to Future Clinical Applications
I forgot to mention https://www.data-to-viz.com/graph/parallel.html
Tool-wise, I would recommend using a scientific visualization tool like ParaView (https://www.paraview.org/). It's a very well-established open-source tool that offers tons of options. The learning curve is of course a bit higher, though, but I think it is worth the effort and there are lots of docs/tutorials/resources online.
Regarding your question about how to plot the data: as Reuben Reyes suggested, color-coding p is a suitable and straightforward option. If your data is sparse, you could just draw glyphs (e.g., simple spheres colored or filtered by p for each data point), but if your data is dense, you would need volume rendering for this (and a suitable transfer function). However, if you are interested in a certain pressure, isosurfaces might be a better option. ParaView can do everything that I was suggesting. I hope this helps!
I use Paraview which IMHO is the best simulation visualization software out there
https://www.paraview.org/
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