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01 Date and Time and Databases LAB

Date and Time and Databases - Exercise (Solution)

This workflow shows a solution to 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 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 KNIMENo Database provided in custom data to do this task No suitable date format for data providedAgain.. I aplogize if I am wrong but I don't know how to answer this if there is no suitable date formatCount by weekdayRemove rows whereship date is missingExtract weekdayCustom Data 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 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 KNIMENo Database provided in custom data to do this task No suitable date format for data providedAgain.. I aplogize if I am wrong but I don't know how to answer this if there is no suitable date formatCount by weekdayRemove rows whereship date is missingExtract weekdayCustom DataString to Date&Time Modify Time GroupBy Sorter Missing Value Extract Date&TimeFields CSV Reader

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