Loading ScholarTool content...
Loading ScholarTool content...
Detect exact duplicate rows or duplicate keys in a loaded CSV file without uploading the dataset.
Your selected file is processed locally in your browser. ScholarTool does not upload the file to a third-party calculation or data-analysis API.
Selecting a file only records file details. Click Load CSV to parse and preview input.
Drag and drop is optional; the normal file chooser is the primary accessible control.
Results, visuals, downloads, and copy actions remain hidden until Find Duplicate Rows succeeds.
Load a CSV file to enable processing options.
Duplicate-row detection finds records that repeat across all columns or a selected key. Exact duplicates may be accidental copies, while repeated identifiers can also represent valid measurements; normalization of case, whitespace, and missing tokens changes what counts as a match.
Duplicate Row Finder applies this concept to its defined inputs and workflow. It supports exact full-row matching and selected key-column matching.
After the user explicitly loads local data, the tool applies the selected workflow to local CSV file and returns duplicate groups, deduplicated CSV, and duplicate visual. Input structure, labels, missing values, and selected options must match the intended workflow. The output should be compared with the source file and the assumptions of the intended analysis before any transformation is accepted. No fuzzy matching, phonetic matching, or record-linkage scoring is performed.
The Duplicate Row Finder supports exact full-row matching and selected key-column matching. It reports duplicate groups, source row positions, and a deduplicated export using keep-first or keep-last rules.
Duplicate groups are built from either every column or selected key columns. Matching is exact after optional whitespace trimming and does not perform fuzzy matching.
Load a transaction CSV and select invoice_id plus line_number as key columns to find repeated records before exporting a keep-first deduplicated copy.
This tool is intended for educational, estimation, and preliminary data-preparation use. Always verify critical data-processing decisions with validated workflows and qualified professional judgment before using results in real research, compliance, or engineering decisions.
ScholarTool is powered by ScholarEase Consultancy Services LLP. Professional engineering, simulation, research, and technical documentation support is available through the connected services website.
Visit ScholarEase