Loading data in data science: why it always breaks the first time

Data scientists regularly encounter unpredictable problems when loading and transforming data: encodings, missing formats, incomplete structures.

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The fact

This article documents common pitfalls and recurring error patterns every data science practitioner discovers through experience.

The lack of robust upstream pipeline standards remains the core issue.

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