Your company keeps data related to online and onsite transactions in a tabular dataset with the following format: Index Online Onsite 1 A.6777-01 2 7736-01 3 L-2210341175-00-000020 4 L-3210341175-00-000020 5 F5454 6 B_7736-01-00-000020 7 F5454 7736-01 In this challenge, you are asked to extract digits from the transactions (which are related to the bought products) given the following guidelines: (1) if the onsite transaction starts with “L”, then take its first 12 digits; otherwise, take its first 6 digits; and (2) if the onsite transaction has a missing value, then take the string from the online transaction. What is the most efficient way to perform this task? For the example above, you should produce the following output column: Product Codes 677701 773601 221034117500 221034117500 F5454 773601 773601
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Created with KNIME Analytics Platform version 4.5.2
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