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08 Database Data Manipulation

08 Database Data Manipulation
Exercise: Database Data Manipulation1) Execute the metanode below. It writes the joined table containing demographics,travel advisory, and geocoordinates information into a SQLite database. 2) Select the JoinedTable table on the database3) Calculate the number of rows (countries) in the database table4) Filter the table to countries where the maximum overall life expectancy is > 805) Calculate the numbers of countries with life expectancy >80 in each travel riskcategory. What is the most common category among these countries? Category 1 Howmany countries belong to the risk category 3 (Reconsider travel)? 2 countries JoinedTable# of rows per countrymax overall life expectancy > 80# of countriesw/ life expectancy > 80 by risk category Write joineddata to database DB Table Selector DB GroupBy DB Row Filter DB GroupBy Exercise: Database Data Manipulation1) Execute the metanode below. It writes the joined table containing demographics,travel advisory, and geocoordinates information into a SQLite database. 2) Select the JoinedTable table on the database3) Calculate the number of rows (countries) in the database table4) Filter the table to countries where the maximum overall life expectancy is > 805) Calculate the numbers of countries with life expectancy >80 in each travel riskcategory. What is the most common category among these countries? Category 1 Howmany countries belong to the risk category 3 (Reconsider travel)? 2 countries JoinedTable# of rows per countrymax overall life expectancy > 80# of countriesw/ life expectancy > 80 by risk categoryWrite joineddata to database DB Table Selector DB GroupBy DB Row Filter DB GroupBy

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Created by: Maarit Laukkanen
Created at: 2020-04-20
On NodePit since: 2022-01-22
Last update: 2024-05-01
Created with KNIME version: v4.5.0
Tags: sqlitedatabase

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