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@@ -55,7 +55,30 @@ df.to_parquet('geonames_23_03_2025.parquet')
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  ## Quality
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- Be warned, the quality - especially for other languages than English - might sometimes be low. Sometimes there are duplicates and very confusing entries.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Query with DuckDB
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  ## Quality
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+ 1. Be warned, the quality - especially for other languages than English - might sometimes be low. Sometimes there are duplicates and very confusing entries.
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+ 2. There are obvious misses that could be cleaned with very simple processing. Example: filtering by country code germany, there is a point in Ukraine and France:
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+
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+ ```python
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+ import duckdb
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+ import geopandas
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+ from lonboard import viz
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+ df = duckdb.sql(f"SELECT * FROM 'https://huggingface.co/datasets/do-me/Geonames/resolve/main/geonames_23_03_2025.parquet?download=true' WHERE \"8\" = 'DE' ").df() # you can add the country code to the query with AND \"8\" = 'GB'
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+ gdf = geopandas.GeoDataFrame( df, geometry=geopandas.points_from_xy(x=df["5"], y=df["4"]))
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+ gdf = gdf[~gdf.duplicated('1', keep=False)]
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+ viz(
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+ gdf,
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+ scatterplot_kwargs={
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+ "get_radius": 5, # radius value
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+ "radius_units": "pixels", # use screen pixels instead of meters
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+ "pickable": True, # ensure layer responds to pointer events
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+ },
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+ map_kwargs={
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+ "show_tooltip": True, # render tooltip on hover
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+ },
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+ )
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+ ```
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+
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+ ![image](https://cdn-uploads.huggingface.co/production/uploads/64c4da8719565937fb268b32/VUDtN4xhlRGANIajEABbL.png)
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  ## Query with DuckDB
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