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Date and Time and Databases

Date and Time and Databases - Exercise

This workflow shows a hands-on exercise in the L2-DS Introduction to KNIME Analytics Platform for Data Scientists - Advanced course

Task 1: Date and Time Manipulation1. Read the New York City Airbnb data by executing the CSV Reader node2. Convert the timestamps in the last_review column from string to Date&Time3. Remove rows with missing values in the last_review column4. Remove the time values from the timestamps5. Extract the day of the week from each timestamp6. Count the number of last reviews on each day of the week Remove timeCount by weekdayRemove rows wherelast_review is missingExtract weekdayGlobal Data SuperStore String to Date&Time Modify Time GroupBy Sorter Missing Value Extract Date&TimeFields CSV Reader Task 1: Date and Time Manipulation1. Read the New York City Airbnb data by executing the CSV Reader node2. Convert the timestamps in the last_review column from string to Date&Time3. Remove rows with missing values in the last_review column4. Remove the time values from the timestamps5. Extract the day of the week from each timestamp6. Count the number of last reviews on each day of the week Remove timeCount by weekdayRemove rows wherelast_review is missingExtract weekdayGlobal Data SuperStore String to Date&Time Modify Time GroupBy Sorter Missing Value Extract Date&TimeFields CSV 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: Maarit Laukkanen
Created at: 2020-10-23
On NodePit since: 2023-03-21
Last update: 2024-05-03
Created with KNIME version: v4.7.0
Tags: datetimestring to date&timemodify timeextract date&time fieldseducationdatabase

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