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Hi, I'm very interested in this. I've been using dask/plotly for a side project but it's just too slow. If you know dask, do you think you could discuss which features of dask your project has and doesn't have?



Here's a Dash app that use Dask & Datashader for fast aggregations on +40M rows: https://dash-gallery.plotly.host/dash-world-cell-towers

The source code, which can be used as a Dash + Dask boilerplate, is here: https://github.com/plotly/dash-world-cell-towers

Feel free to ask questions at community.plot.ly


I don't think that actually plots the 40M points, just aggregates them in Python and plots a small section of that data on the website?


I believe so. An optimization of Datashader is that it _doesn't_ plot all the points, but rather optimizes which points actually influence pixel values.


It plots cell towers in the middle of my residential neighborhood where i absolutely sure there aren't any


https://community.opencellid.org/t/range-of-a-tower/370/2

>The range field tells you the approximate area within which the cell could be, in metres. This is effectively an estimate of how accurate the location is.

There's one marked in the middle of a corn field near me with a range of 48,000m. ?


maybe they're Stingrays ;)

https://en.m.wikipedia.org/wiki/Stingray_phone_tracker


Maybe. However cellmapper.net shows few cell towers where they actually exists and this map doesn't show them.

Credibility?




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