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For example, 90840 is in the US (CONUS) PHZ csv, but not in zipcodes.csv, so it results in a 404 https://phzmapi.org/90840.json
This seems to be opposite of the case mentioned in the readme (some zips don't have PHZ data).
According to https://public.opendatasoft.com/explore/dataset/us-zip-code-latitude-and-longitude/table/ there should be 43,191, whereas the csv only has 29,809 rows (incl header).
I think the underlying cause of this is that the UPDATE silently has no effect if there was no row inserted for that zip from the zipcodes.csv.
Running some modified code, I see:
PHZ zipcodes with no location: 11348 zipcodes with no PHZs: 36
Using the CSV from the OpenDataSoft URL above, I see:
PHZ zipcodes with no location: 459 zipcodes with no PHZs: 2530
So, it looks like there are still some PHZ zips not covered by the ODS list.
The text was updated successfully, but these errors were encountered:
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For example, 90840 is in the US (CONUS) PHZ csv, but not in zipcodes.csv, so it results in a 404 https://phzmapi.org/90840.json
This seems to be opposite of the case mentioned in the readme (some zips don't have PHZ data).
According to https://public.opendatasoft.com/explore/dataset/us-zip-code-latitude-and-longitude/table/ there should be 43,191, whereas the csv only has 29,809 rows (incl header).
I think the underlying cause of this is that the UPDATE silently has no effect if there was no row inserted for that zip from the zipcodes.csv.
Running some modified code, I see:
PHZ zipcodes with no location: 11348
zipcodes with no PHZs: 36
Using the CSV from the OpenDataSoft URL above, I see:
PHZ zipcodes with no location: 459
zipcodes with no PHZs: 2530
So, it looks like there are still some PHZ zips not covered by the ODS list.
The text was updated successfully, but these errors were encountered: