By Team Edtoolkits · Data
Keep or exclude records using typed, exportable filter conditions.
Use the guide alongside the working tool.
Open Data Filter Builder →Explicit working sample
id,region,product,amount,units,date
001,North,Notebook,24.5,2,2026-10-01
002,South,Pen,9,3,2026-10-02
003,North,Pen,15,5,2026-10-03
004,West,Notebook,,1,2026-10-04
005,South,Notebook,49,4,2026-10-05
006,North,Pen,1200,2,2026-10-06Keep or exclude records using typed, exportable filter conditions. Text comparisons are literal, not executable queries. Numeric comparisons reject nonnumeric nonempty values instead of using lexical ordering. Empty cells can be tested explicitly. Multiple rules combine with AND or OR; results and excluded records are available separately.
Prepare the input
Keep or exclude records using typed, exportable filter conditions.
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
Text comparisons are literal, not executable queries. Numeric comparisons reject nonnumeric nonempty values instead of using lexical ordering. Empty cells can be tested explicitly. Multiple rules combine with AND or OR; results and excluded records are available separately.
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 Data Filter Builder →Explore a related workflow
- Group & Aggregate Data: methods and data limits
Summarize records by multiple keys with explicit aggregate measures.
- Pivot & Unpivot Data: methods and data limits
Reshape long records into wide data, or turn wide columns into rows.
- Column Split & Extract: methods and data limits
Extract structured pieces from a column while keeping the original values.
- Data Value Mapper: methods and data limits
Replace codes and labels using a checked reference dictionary.
Keep your original files and review the result. Found unclear instructions? Contact Team Edtoolkits.