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docs(website): update link to interpretation page
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docs/src/content/docs/guides/Examples/reading-ambiguous-data.mdx

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@@ -11,7 +11,7 @@ There are a few widespread ambiguities in CSV files:
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2. **Empty fields**: CSV files can contain empty fields, which are fields that contain no data.
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See the [Empty fields / null values section of the CSV Interpretation](/architecture/interpretation/#empty-fields--null-values) page for more information.
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3. **Extra or missing fields**: CSV files can contain a different number of fields in each record.
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See the [Extra fields section of the CSV Interpretation](/architecture/interpretation/#extra-fields) page for more information.
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See the [Different field count of the CSV Interpretation](/architecture/interpretation/#different-field-count) page for more information.
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FastCSV is very aware of these ambiguities and provides ways to handle them.
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