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Python Performance

Data normalization: zero-mean departure delay column Note: To compress the size of the workflow, a sample of Airline data 2008is considered, but to compare the performance of KNIME andPython on larger dataset, it is recommended to use the entire Airline2008 dataset which has almost 2 million rows.Link to Airline 2008 data: https://www.kaggle.com/vikalpdongre/us-flights-data-2008?select=2008.csv oldpandasDataFrame.APIdownstream tasknew KNIME Table APIas PyArrow tablenew KNIME Table APIas pandasDataFramedownstream taskdownstream taskAirline Data Python Script Math Formula Python Script(Labs) Python Script(Labs) Math Formula Math Formula Conda EnvironmentPropagation Table Reader Data normalization: zero-mean departure delay column Note: To compress the size of the workflow, a sample of Airline data 2008is considered, but to compare the performance of KNIME andPython on larger dataset, it is recommended to use the entire Airline2008 dataset which has almost 2 million rows.Link to Airline 2008 data: https://www.kaggle.com/vikalpdongre/us-flights-data-2008?select=2008.csv oldpandasDataFrame.APIdownstream tasknew KNIME Table APIas PyArrow tablenew KNIME Table APIas pandasDataFramedownstream taskdownstream taskAirline Data Python Script Math Formula Python Script(Labs) Python Script(Labs) Math Formula Math Formula Conda EnvironmentPropagation Table Reader

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: Adrian Nembach
Created at: 2021-11-18
On NodePit since: 2022-01-27
Last update: 2024-05-04
Created with KNIME version: v4.5.1

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