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02. Data Manipulation

Data Manipulation
Activity: Data Manipulation & Aggregation Activity I - Part 3 - Join all data into one table using a series of joiner nodes (use "CustomerKey" as the joining column) Activity I - Part 1 - Concatenate web activity data from the old and new systems Activity I - Part 2 - Replace the written sentiment values with the numeric sentimentscores Activity II - Filter out duplicate rows - Make sure that all product names in the product data spreadsheet are written in lower case letters(String Manipulation or Column Expressions) - Remove the column Sentiment Rating (Table Manipulator) - Calculate the mean age of the customers per product (GroupBy node) WebActivity.sqliteWebActivityOld Web Data Sentiment Rating+Sentiment DescriptionDemographicsand Historyfrom SAS fileProducts<-> CustomerKeySentiment Evaluation from KNIMESQLite Connector DB Reader DB Table Selector CSV Reader CSV Reader CSV Reader Excel Reader Table Reader Activity: Data Manipulation & Aggregation Activity I - Part 3 - Join all data into one table using a series of joiner nodes (use "CustomerKey" as the joining column) Activity I - Part 1 - Concatenate web activity data from the old and new systems Activity I - Part 2 - Replace the written sentiment values with the numeric sentimentscores Activity II - Filter out duplicate rows - Make sure that all product names in the product data spreadsheet are written in lower case letters(String Manipulation or Column Expressions) - Remove the column Sentiment Rating (Table Manipulator) - Calculate the mean age of the customers per product (GroupBy node) WebActivity.sqliteWebActivityOld Web Data Sentiment Rating+Sentiment DescriptionDemographicsand Historyfrom SAS fileProducts<-> CustomerKeySentiment Evaluation from KNIMESQLite Connector DB Reader DB Table Selector CSV Reader CSV Reader CSV Reader Excel Reader Table Reader

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