By Team Hypomnema · Data
Extract structured pieces from a column while keeping the original values.
Use the guide alongside the working tool.
Open Column Split & Extract →Explicit working sample
id,contact
1,Ada|London|UK
2,Lin|Taipei|Taiwan
3,Maya|Paris|FranceExtract structured pieces from a column while keeping the original values. Literal delimiter splitting, fixed-width chunks or left/right substring extraction. At most 20 derived columns. Overflow is retained in the last split field rather than silently discarded. Original columns stay intact. No user scripts or regular expressions execute.
Prepare the input
Extract structured pieces from a column while keeping the original values.
CSV, TSV and arrays of scalar JSON objects are supported. Identifiers stay text. Empty cells are missing by default; add special missing tokens only if their meaning is certain. Use the sample to inspect the exact workflow.
Review the method
Literal delimiter splitting, fixed-width chunks or left/right substring extraction. At most 20 derived columns. Overflow is retained in the last split field rather than silently discarded. Original columns stay intact. No user scripts or regular expressions execute.
Keep the useful output
Review the summary and result records. Transformation tools retain separate change, rejected-record or diagnostics datasets where relevant. Choose the dataset before exporting; a report and a cleaned dataset serve different purposes.
CSV exports protect formula-like text. JSON keeps data portable without making an Excel workbook. Reports and editable backups may contain private source values; download only what you intend to share. No automatic account storage or server processing is used.
Ready to apply this workflow?
Try Column Split & Extract →Explore a related workflow
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Replace codes and labels using a checked reference dictionary.
Keep your original files and review the result. Found unclear instructions? Contact Team Hypomnema.