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Datasets come from wildly mixed datasources. In some cases, especially from spreadsheets and CSV files, we don't have any unique ready-to-use identifier for a column/field, only an heading. We want to convert automatically any UTF-8 data into a ASCII expression (Contractor name -> contractorName or contractor_name) or a fallback (label1, label2) when it's not possible to determine one. The architecture should be flexible enough to allow to add specific rules in the future. A use case is we can add transliteration in the mix in the future.
Datasets come from wildly mixed datasources. In some cases, especially from spreadsheets and CSV files, we don't have any unique ready-to-use identifier for a column/field, only an heading. We want to convert automatically any UTF-8 data into a ASCII expression (Contractor name -> contractorName or contractor_name) or a fallback (label1, label2) when it's not possible to determine one. The architecture should be flexible enough to allow to add specific rules in the future. A use case is we can add transliteration in the mix in the future.
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