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
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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 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.
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'm looking to see how I can either shrink tiles further down in Power BI than the drag features lets me, or a way to display multiple images from different API endpoints in the same tile.
For example here is a SonarQube image output separated to each tile as an IMG tile.
As you can see this takes up a ton of dead space and could be done in a much more compact way. Being able to paste all 4 images in one box would already help.
I did try to use the "Embed Code" option, but I could get an image to show since it's technically not an image (.jpg or something like that), but instead an endpoint (ex: http://server:9000/api/project_badges/measure?project=Project&metric=metric_name).
Any help is appreciated.
Sorry, answer was simple, I needed to include a p element and close it before each endpoint in the embedded tile code.
<p><img src="http://server:9000/api/project_badges/measure?project=Project_name&metric=metric_name1"></p>
In a computer vision project, the image I want to process can be partitioned in "zones" containining multiple products of the same kind.
Provided that I can retrieve image information of all the possible kinds of product, I need to detect which kind is present in each zone, without the need to detect the position of each single product. In summary, I need to recognize "sets of products".
As additional info, the products have not a rigid shape, they are not oriented in the same manner and luminosity changes (so I am basically searching for shape, orientation and luminosity invariant approaches).
The reliable info I can exploit is that the products logos - or parts of them - are often visible and the products are quite colorful.
I would like to know about possible approaches that exploit the fact that I know the zones partition and approaches that do not exploit it.