Clean a CSV row in four readable steps

stepper before-after panel marigold trap callout A raw CSV row is a list of strings, but the rest of the script needs a named customer dictionary. Raw row -> named fields -> validated dictionary -> sample check Indexing raw columns everywhere makes the script brittle when the file changes. Name input Start with the raw row and assign named fields like email_text and tier_text. This prevents the code from pretending every value is already clean. Choose shape Use a dict for the cleaned customer because later code needs lookup by field name. The right Python structure makes the next operation…

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