InputIC:\Users\mdesimone\Desktop\Community\Santalytics\Solutions\Week 3\Iterative Input.yxdbIterative Input.yxdbSort by hub, nice score, present score, then target id to ensure top remaining kid is selectedHub - Ascending
Nice Score - Descending
Present Score - Ascending
Target IDs - AscendingFirst1Take first kid from each hubFirst 1Join back to target's records of all potential presentsCalculate potential remaining hub weight for every presentRemaining Hub Weight=[Remaining Hub Weight] - ([Potential Wei...Join adjusted remaining hub weight back to iterative outputSort by target, then present selection ranking (made from sorting by price, then weight, descending)Target IDs - Ascending
Present Selection Ranking - AscendingFirst1Take top remaining present assignment for each targetFirst 1Remove unwanted fieldsOutputOIterative OutputI[Remaining Hub Weight] >= 0CustomNo weights less than 0[Remaining Hub Weight] >= 0HorizontalQuestionMacro Output (30)Santalytics Part 3 Pick PresentTabQuestionsTab (1)MacroInputMacro Input (2)Macro Input (2)MacroOutputMacro Output (29)Macro Output (29)MacroOutputMacro Output (30)Macro Output (30)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
Input
WarnAllSame