Python CSV validation and cleanup — one small file by Jaye NicholsPython CSV validation and cleanup — one small file by Jaye Nichols
Python CSV validation and cleanup — one small fileJaye Nichols
A fixed $25 package for one UTF-8 CSV with up to 1,000 data rows and 10 columns. I will use Python to apply up to three agreed rules: trim surrounding whitespace, validate required fields or dates/numbers against an agreed format, and identify exact duplicate rows.
You receive a cleaned CSV, a row-level review report with row numbers and reasons, a runnable Python script, and a short README explaining the rules and commands. Your original input stays unchanged, and flagged rows are retained for review.
Acceptance criteria: the script runs locally with Python 3.10+ using the standard library; the agreed headers and column order are preserved; input rows reconcile to retained rows plus flagged or duplicate rows; the supplied validation rules are demonstrated on a small reproducible example. One correction pass is included for the agreed rules. New files or rules are outside this package.
Please provide the CSV, expected headers, and your requested rules. I will confirm the scope before accepting a project. Delivery is within one week after the file and rules are agreed. This package covers digital files only, with no live-system access or data upload.
Python CSV validation and cleanup — one small fileJaye Nichols
Starting at$25
Duration1 week
Tags
CSV
Python
A fixed $25 package for one UTF-8 CSV with up to 1,000 data rows and 10 columns. I will use Python to apply up to three agreed rules: trim surrounding whitespace, validate required fields or dates/numbers against an agreed format, and identify exact duplicate rows.
You receive a cleaned CSV, a row-level review report with row numbers and reasons, a runnable Python script, and a short README explaining the rules and commands. Your original input stays unchanged, and flagged rows are retained for review.
Acceptance criteria: the script runs locally with Python 3.10+ using the standard library; the agreed headers and column order are preserved; input rows reconcile to retained rows plus flagged or duplicate rows; the supplied validation rules are demonstrated on a small reproducible example. One correction pass is included for the agreed rules. New files or rules are outside this package.
Please provide the CSV, expected headers, and your requested rules. I will confirm the scope before accepting a project. Delivery is within one week after the file and rules are agreed. This package covers digital files only, with no live-system access or data upload.