I recently came across a visualization in PowerBI, but cannot find it in the AppSource. Does anyone know how to create this visualization?
According both with The Data Visualisation Catalogue and DataVizProject, this type of visualization is either a Spiral Plot or a Spiral Histogram, as you can see in the image below:
But probably, the example you have provided (created by Net Solutions) adds to the thing sort of a "Ring Plot" with bubbles, so, in essence, we are talking about mixing two kinds of visualization.
As they are a private company charging for its services, my bet is they have done the work in Power BI using a custom visual not publicly available. Nevertheless, you can use this template done in D3.js as starting point, and then, render it in your dashboard.
Related
I'm trying to create a choropleth visualisation with Mapbox for Power BI, I've used a shapefile from the UK Office of National Statistics of local authority districts, which I've edited down in QGIS to only include the relevant districts to my analysis. I also edited the CRS to make it work with Mapbox since that was an issue I'd had before.
The visualisation is using the data I hoped it would, I can tell because it is zooming to the relevant areas, but the polygons are not showing up.
If anyone can tell me what's going wrong and point me in the right direction, that would be much appreciated.
I'm on the latest version of Power BI Desktop, using my company Windows 10 laptop, if that helps.
I've tried clearing the cache, and I have a GPU, and there was no change. The last remaining part of the troubleshooting I haven't done as described in this page - https://docs.mapbox.com/help/troubleshooting/integrate-mapbox-visual-with-power-bi/ - is to do anything with the API endpoints, I don't really know where to start with that.
I need to show millions of points on Power BI native maps. I read that the basic one has a limit of 3,500 points and Azure maps has 30,000. Python maps have about 1,500 points limit.
https://learn.microsoft.com/en-us/power-bi/visuals/power-bi-data-points
I have a slicer for the data and when I zoom somewhere and change the slicer some points disappear.
What is the best way to show millions of points in a map in Power BI considering performance and data privacy?
I really appreciate any help.
Not possible, custom visuals can go up to 30k data points, while R and Python can go up to 150k, nothing higher than that sadly. The user should be free to choose the compromise between performance and data visualization
I have a trained network that is giving me features of 2048 dimensions. I want to visualize them using t-sne plot through a Tensorboard embedding projector. Each of the data points belongs to some 10 different labels so this distinction I can do by specifying the different colors to different labels. However, the catch is, within 1 label, these features belong to 2 categories, one is the RGB image feature and the other is the infrared image feature. So now I need to show some marker like 'x' or 'o' which is available in Scatter plot different for RGB and infrared features.
However, I couldn't find this feature to specify marker anywhere in Embedding Projector documentation. Currently, I am using Pytorch's embedding projector using Summary writer but I don't mind switching to Tensorflow if it has such functionality.
Kindly help me if anybody knows if this can be done in a Tensorboard embedding projector.
Thanks in advance
I'm using a map visualization on power BI. I want to overlap an image on my map with an opacity of 50% (like in photoshop).
Thanks
Are you using the Icon Map? I suggest you download the examples from the Data Stories Galleries. I'd tell you more but I'm just reviewing this stuff myself :-)
I would like to use the stand-alone tensorboard projector and have multiple datasets (same data points, different times).
I want the projector to load multiple datasets, apply PCA and then animate the points in time through the "checkpoints". (changing the point coordinates in the 2D/3D space in an animated fashion)
Where can I start to dig in the projector code in order to load multiple datasets and change the rendered points coordinates after initial render?
With still nearly zero experience with Tensorboard, I recently searched for a similar feature.
Loading multiple datasets in TensorboardX is no problem by calling add_embedding multiple times with different global_step parameter. It seems that for transitions there is no build-in solution.
One alternative I suggest is hypertools. It supports multiple dimension reduction methods, as well as animations.
I would appreciate any update on this topic as I am still searching for alternatives.