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01 Date and Time Manipulation

01 Date and Time Manipulation
Exercise: Date and Time ManipulationRead the New York City Airbnb data by executing the CSV Reader node.1) Convert the timestamps in the last_review column from string to Date&Time2) Remove rows with missing values in the last_review column3) Remove the time values from the timestamps4) Extract the day of the week from each timestamp5) Count the number of last reviews on each day of the week. Which day of theweek has the highest count? Sunday And the lowest? Thursday Read AB_NYC_2019dataconvert last_reviewto datetimeremove missinglast_reviewremove timevaluesextract day of the weekobtain countby day of theweeksort countdescendingremove missinglast_reviewremove timevaluesextract day of the weeksort countdescendingobtain countby day of theweek CSV Reader String to Date&Time Row Filter Modify Time Extract Date&TimeFields GroupBy Sorter Missing Value Modify Time Extract Date&TimeFields Sorter GroupBy Exercise: Date and Time ManipulationRead the New York City Airbnb data by executing the CSV Reader node.1) Convert the timestamps in the last_review column from string to Date&Time2) Remove rows with missing values in the last_review column3) Remove the time values from the timestamps4) Extract the day of the week from each timestamp5) Count the number of last reviews on each day of the week. Which day of theweek has the highest count? Sunday And the lowest? Thursday Read AB_NYC_2019dataconvert last_reviewto datetimeremove missinglast_reviewremove timevaluesextract day of the weekobtain countby day of theweeksort countdescendingremove missinglast_reviewremove timevaluesextract day of the weeksort countdescendingobtain countby day of theweekCSV Reader String to Date&Time Row Filter Modify Time Extract Date&TimeFields GroupBy Sorter Missing Value Modify Time Extract Date&TimeFields Sorter GroupBy

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