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https://github.com/ahuang11/mapnstreets

Have you ever wondered how common (uncreative) some street names are?
https://github.com/ahuang11/mapnstreets

duckdb fugue geopandas geoviews maps panel parquet

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Have you ever wondered how common (uncreative) some street names are?

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README

          

# mapnstreets

*Have you ever looked at a street name and wondered how common it is?*

Put your curiosity to rest with MapnStreets! By simply entering a name
in the provided box, you can discover the prevalence of a street name.
The map will display the locations of all streets with that name,
and for more detailed information, you can click on the table to
highlight their exact whereabouts.

Uses [TIGER/Line® Edges](https://www2.census.gov/geo/tiger/TIGER_RD18/LAYER/EDGES/)
data provided by the US Census Bureau.

Powered by OSS:
[Fugue](https://fugue-tutorials.readthedocs.io),
[Panel](https://panel.holoviz.org/),
[GeoPandas](https://geopandas.org/),
[GeoViews](https://geoviews.org/),
[Parquet](https://parquet.apache.org/),
[DuckDB](https://duckdb.org/),
[Ray](https://ray.io/),
and all their supporting dependencies.

![mapnstreets](https://github.com/ahuang11/mapnstreets/assets/15331990/a3e21155-8a0c-43d0-a3c9-a5e4f82d6966)

## Developers 1-2-3

To create a new environment with all the requirements needed:
`conda env create -f environment.yml`

Then, run:
`python download_process.py`

Finally, run:
`panel serve app.py --autoreload`