Gist 117a8471a45ca6ae36119e5930c915ca

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Gist 117a8471a45ca6ae36119e5930c915ca

✓ Published0🌍 Public

Last edited Dec 29, 2020

Created on Dec 20, 2020

This example shows a map-based visualization of user data, rendered by a Python script that generates geographic positions. It displays spatial points derived from a data source, with the rendering process handled through a pipeline that uses the `geopandas` and `matplotlib` libraries for map creation. The code updates team information and positions based on the environment variables for email, password, and user ID, pulling from a remote dataset. The visualization emphasizes the spatial distribution of the user’s data, using a standard geographic projection to plot the points.

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