Icon

01 Date and Time and Databases - Solution

Date and Time and Databases - Exercise (Solution)
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 Task 2: Database Data Manipulation1. Connect to the Accommodation.sqlite database available in the "data" folder2. Write the Airbnb data provided by the Modify Time node into the database. Create a table calledAB_NYC_2019. Overwrite it if it exists already.3. Perform the following data manipulation tasks with the appropriate DB nodes:- Calculate the average room price in each neighborhood group- Join the price information to the original database table- Filter the data to rooms/apartments with at least one review4. Read the joined and filtered data into KNIME Remove timeCount by weekdayRemove rows wherelast_review is missingRead AB_NYC_2019dataExtract weekdayJoin to originaldataNumber of reviews> 0Read datainto KNIMEWriteAB_NYC_2019 tablePrice perneighborhood_groupRemove time String to Date&Time Modify Time GroupBy Sorter Missing Value CSV Reader Extract Date&TimeFields DB Joiner DB Row Filter DB Reader SQLite Connector DB Writer DB GroupBy Modify Time 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 Task 2: Database Data Manipulation1. Connect to the Accommodation.sqlite database available in the "data" folder2. Write the Airbnb data provided by the Modify Time node into the database. Create a table calledAB_NYC_2019. Overwrite it if it exists already.3. Perform the following data manipulation tasks with the appropriate DB nodes:- Calculate the average room price in each neighborhood group- Join the price information to the original database table- Filter the data to rooms/apartments with at least one review4. Read the joined and filtered data into KNIME Remove timeCount by weekdayRemove rows wherelast_review is missingRead AB_NYC_2019dataExtract weekdayJoin to originaldataNumber of reviews> 0Read datainto KNIMEWriteAB_NYC_2019 tablePrice perneighborhood_groupRemove timeString to Date&Time Modify Time GroupBy Sorter Missing Value CSV Reader Extract Date&TimeFields DB Joiner DB Row Filter DB Reader SQLite Connector DB Writer DB GroupBy Modify Time

Nodes

Extensions

Links

Download

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

Download Workflow
Created by: Maarit Laukkanen
Created at: 2020-10-23
On NodePit since: 2022-09-01
Last update: 2024-04-18
Created with KNIME version: v4.6.1
Tags: datetimestring to date&timemodify timeextract date&time fieldseducationdatabase

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!