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02. Data Manipulation_​ex

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Data Manipulation

Exercise 2 for KNIME User Training
- Concatenate data from two different sources
- Bring values from a reference table to the actual table using the Cell Replacer node
- Modify String values
- Join data from multiple tables
- Remove duplicates in the data

URL: Advaced ETL Functionalities and Machine Learning based Pre-Processing https://youtu.be/IEAsUTN8q68
URL: Joining Data Tables https://youtu.be/6BigLM6vbhs
URL: Joining Data Tables - Inner Join https://youtu.be/9uV99ByH-TA
URL: Concatenate https://youtu.be/VzH2lHbDAg0
URL: Concatenate Node https://youtu.be/ku6SyEZ1Pv8
URL: Data Manipulation: Numbers, Strings, and Rules https://youtu.be/mJrBXmLQ4ko
URL: Slides (KNIME Analytics Platform Course) https://www.knime.com/form/material-download-registration

Import Data Activity: Data Manipulation & AggregationImport data from: - Sentiment Analysis.table - Sentiment Rating.csv - Product Data2.xls (hint: Drag and drop files from the KNIME Explorer panel)Optional: Read the web_activity table from the database WebActivity.sqlite Activity I - Part 3 - Join all data into one table using a series of joiner nodes(use "Customer Key" as the joining column) Activity I - Part 1 - Concatenate web activity data from the old andnew systems Activity I - Part 2 - Replace the written sentiment values with thenumeric sentiment scores Activity II - Filter out duplicate rows - Make sure that all product names in the product data spreadsheet are writtenin 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) Import Data Activity: Data Manipulation & AggregationImport data from: - Sentiment Analysis.table - Sentiment Rating.csv - Product Data2.xls (hint: Drag and drop files from the KNIME Explorer panel)Optional: Read the web_activity table from the database WebActivity.sqlite Activity I - Part 3 - Join all data into one table using a series of joiner nodes(use "Customer Key" as the joining column) Activity I - Part 1 - Concatenate web activity data from the old andnew systems Activity I - Part 2 - Replace the written sentiment values with thenumeric sentiment scores Activity II - Filter out duplicate rows - Make sure that all product names in the product data spreadsheet are writtenin 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)

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On NodePit since: 2023-09-02
Last update: 2024-12-17
Created with KNIME version: v5.1.0
Tags: ETLconcatenatejoinpreprocessingremove duplicatestransformreplaceeducation

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