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
Dataset: Postal Data on KNIME Community Hub
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
Download WorkflowDeploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.
Try NodePit Runner!Do you have feedback, questions, comments about NodePit, want to support this platform, or want your own nodes or workflows listed here as well? Do you think, the search results could be improved or something is missing? Then please get in touch! Alternatively, you can send us an email to mail@nodepit.com, follow @NodePit on Twitter or botsin.space/@nodepit on Mastodon.
Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.