Correcting Postal Addresses
Challenge 10
Level: Medium
Description: You work as a data analyst for a delivery company, and some packages were not delivered last week due to address typos. Thanks to the postal carriers, addresses that were not found due to typos were marked as such. Given a dataset with successful deliveries (due to no typos) and unsuccessful ones (due to typos), your goal is to automatically fix the incorrect addresses by leveraging the correct ones.
Author: Aline Bessa
Comments:
Addresses are store locations so only one number in street makes sense
not suitable for consumer addresses, as there could be several numbers at the same street.
Challenge 10
Level: Medium
Description: You work as a data analyst for a delivery company, and some packages were not delivered last week due to address typos. Thanks to the postal carriers, addresses that were not found due to typos were marked as such. Given a dataset with successful deliveries (due to no typos) and unsuccessful ones (due to typos), your goal is to automatically fix the incorrect addresses by leveraging the correct ones.
Author: Aline Bessa
Comments:
Addresses are store locations so only one number in street makes sense
not suitable for consumer addresses, as there could be several numbers at the same street.