CSV cleanup with a checked export and clear change log by Jonathan BuckCSV cleanup with a checked export and clear change log by Jonathan Buck
CSV cleanup with a checked export and clear change logJonathan Buck
Turn one messy CSV export into a usable file with an understandable record of every agreed change.
This fixed-scope pilot covers one flat CSV table, up to 10,000 rows and 20 columns, after sample review. Agree rules for whitespace, exact duplicates and consistent formatting before work starts. Identifiers and leading zeros are preserved; ambiguous values are flagged instead of guessed.
Send a representative sample with sensitive details removed, the desired output, and the cleanup rules. Scope and delivery timing are confirmed before the project begins. One revision against the agreed rules is included.
Excludes fuzzy matching, web research or enrichment, OCR, formulas and macros, accounting judgments, live-system access and regulated sensitive data. XLSX files can be assessed separately before quoting.
CSV cleanup with a checked export and clear change logJonathan Buck
Starting at$150
Tags
Data Cleaning
Data Processing
Python
Data Analyst
Turn one messy CSV export into a usable file with an understandable record of every agreed change.
This fixed-scope pilot covers one flat CSV table, up to 10,000 rows and 20 columns, after sample review. Agree rules for whitespace, exact duplicates and consistent formatting before work starts. Identifiers and leading zeros are preserved; ambiguous values are flagged instead of guessed.
Send a representative sample with sensitive details removed, the desired output, and the cleanup rules. Scope and delivery timing are confirmed before the project begins. One revision against the agreed rules is included.
Excludes fuzzy matching, web research or enrichment, OCR, formulas and macros, accounting judgments, live-system access and regulated sensitive data. XLSX files can be assessed separately before quoting.