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Data Manipulation

01 Data Access - Exercise

This workflow shows a hands-on exercise in the L1-DW KNIME Analytics Platform for Data Wranglers: Basics course


Data Manipulation:1. For one of the columns, convert all 0s tomissing values and remove them2. Creates a Pivot table which shows whichcountry is in each continent and shows itpopulation. GPD.csvDisplay the missing valuesConvert the 0s to ?Node 43GPD.csvNode 45Node 46 CSV Reader Missing ValueColumn Filter Rule Engine Row Filter CSV Reader Column Filter Pivoting Data Manipulation:1. For one of the columns, convert all 0s tomissing values and remove them2. Creates a Pivot table which shows whichcountry is in each continent and shows itpopulation. GPD.csvDisplay the missing valuesConvert the 0s to ?Node 43GPD.csvNode 45Node 46 CSV Reader Missing ValueColumn Filter Rule Engine Row Filter CSV Reader Column Filter Pivoting

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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: 2020-04-20
On NodePit since: 2023-04-15
Last update: 2024-05-05
Created with KNIME version: v4.7.1
Tags: educationl1-dw

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