EDA
data clean
review
expoert
explanations:
Import: Use CSV reader to import the dataset we are gong to clean,
EDA is to identify the types of variables, detect errors in the data, understanding the relationships between variables and verify consistency with the business domain,
Cleaning data： identifying and handling missing values, defining and converting data formait(Date, sting), removing duplicate rows. Correcting inconsistent values.
Export: Use CSV writer to output the data cleaned.
To use this workflow in KNIME, download it from the below URL and open it in KNIME:
Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.
