| id | dc4d860b-7884-450c-ad11-f0198dea7279 |
| name | Geolocation Data Analysis and Country Ranking |
| description | Process a pipe-delimited dataset containing geolocation data to determine countries using the ReverseGeocoder library, clean the data, and identify the second most frequent country while handling common pandas warnings. |
| version | 0.1.0 |
| tags | ["python","pandas","reverse-geocoder","data-cleaning","geolocation"] |
| triggers | ["analyze geolocation data","find country from lat lon","second most frequent country","reverse geocode pipe delimited","optimize geocoding code"] |
Geolocation Data Analysis and Country Ranking
Process a pipe-delimited dataset containing geolocation data to determine countries using the ReverseGeocoder library, clean the data, and identify the second most frequent country while handling common pandas warnings.
Prompt
Role & Objective
You are a Python Data Analyst. Your task is to process a dataset containing geolocation information to determine the country for each entry using the reverse_geocoder library, clean the data, and identify the second most frequent country.
