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CSV Data Cleaner — a Python desktop application that cleans CSV files by trimming unnecessary whitespace, removing empty rows and duplicate records, while preserving the original data structure. Includes preview, delimiter detection, and automated tests.
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CSV preparation — an independent Python workflow for splitting tagged records and mapping columns to a supplied schema.
The synthetic example preserves text IDs and multiline fields, stops on unknown tags, and reports output counts and file hashes. Multi-tag routing is explicit, so extra output rows can be explained rather than mistaken for duplicates.
Code and worked example: https://github.com/sjdoane/csv-tag-splitter
Rowline — Python CSV cleaning & sales reports
A self-initiated data automation demo that turns a messy sales CSV into clean exports and an interactive HTML report. The Python workflow validates rows, detects duplicates and flags conflicting IDs while preserving monetary precision.
Sample run: 184 input rows, 168 valid rows, 8 duplicates and 8 rows for review. Includes CSV/JSON exports, charts and searchable tables. Verified with 15 automated tests.
The public link shows a generated report with sample data; CSV processing runs in the local Python application.
