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data mountains - turn your data into mountains!

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data mountains - turn your data into mountains!
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convert geospatial points into triangles scaled by data
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542
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CC Attribution 2.0 Belgium:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Abstract
using a mountain metaphor instead of choropleth or cartogram visualisations has some use in showing similarities and differences between places. data mountains are a bit like bar charts on a map, but their mountainous shape makes the bars resemble topographic features! using #nbdev to publish the package was fun because it makes it much easier for python teams to collaborate on jupyter notebooks in git as it cleans json metadata with a pre-commit hook that prevents merge conflicts, and it also makes it very convenient to document, test, and share code and packages on the web, pypi, and conda.