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04_​Data_​Transformation

Data Transformation

Exercise 4 for the KNIME Analytics Platform for Data Wranglers course
- Transform a data table with the Unpivoting node and remove superfluous rows and columns
- Format a string value using a combination of different manipulation nodes, e.g. Cell Splitter, Row Splitter, and String Manipulation



Exercise 4: Table RestructuringIn this exercise you change data structure by unpivoting columns to rows. 1) Change the structure of the table with the onsite purchases so that each purchased product is in a separate row and notthe whole purchase event 1.1 Unpivot the columns that show the products ordered in one purchase event. Retain other columns in the table. 1.2 Remove rows that have missing values for the unpivoted column values 1.3 Rename "ColumnValues" column to "ProductNr" and "ShoppingNumber" to "OrderNumber" 1.4 Remove unnecessary columns "BasketSize" and "ColumnNames" 2) (optional) Format the product numbers 2.1 Split the product numbers into substrings where separated by "-" 2.2 Convert the middle part to string and padLeft with zeros to create a 3-char code 2.3 Combine the manipulated substrings back to one string, and replace the product numbers by these manipulated values Top: Online purchasesBottom: Product prizes Read onsitetransactions data Read cleanedcustomer information Read data ononline purchases Exercise 4: Table RestructuringIn this exercise you change data structure by unpivoting columns to rows. 1) Change the structure of the table with the onsite purchases so that each purchased product is in a separate row and notthe whole purchase event 1.1 Unpivot the columns that show the products ordered in one purchase event. Retain other columns in the table. 1.2 Remove rows that have missing values for the unpivoted column values 1.3 Rename "ColumnValues" column to "ProductNr" and "ShoppingNumber" to "OrderNumber" 1.4 Remove unnecessary columns "BasketSize" and "ColumnNames" 2) (optional) Format the product numbers 2.1 Split the product numbers into substrings where separated by "-" 2.2 Convert the middle part to string and padLeft with zeros to create a 3-char code 2.3 Combine the manipulated substrings back to one string, and replace the product numbers by these manipulated values Top: Online purchasesBottom: Product prizes Read onsitetransactions data Read cleanedcustomer information Read data ononline purchases

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