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Data Cleaning Mini-Tools sample preview

CSV dedupe, normalize, validate tools for analysts. This preview shows the package shape before checkout without exposing the full paid download.

Public file preview

FileTypeSize
delivery_readme.mdmd839 bytes
library/cleaning_recipes.csvcsv3132 bytes
library/cleaning_recipes.mdmd4408 bytes
library/data_dictionary_template.csvcsv333 bytes
library/field_mapping_template.csvcsv406 bytes
library/sample_clean_customers.csvcsv334 bytes
library/sample_cleaning_report.csvcsv504 bytes
library/sample_cleaning_report.htmlhtml1711 bytes
library/sample_cleaning_report.jsonjson677 bytes

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Excerpt: README.md

# Data Cleaning Mini-Tools

Local-first CSV cleaning toolkit for analysts, operators and founders who need messy exports turned into reviewable clean files.

## What it does
- Normalizes whitespace, email, phone, date, boolean and common country values.
- Deduplicates rows by one or more key fields.
- Flags required-field, email, phone and date issues.
- Exports clean CSV plus audit reports in JSON, CSV, Markdown and HTML.
- Runs locally with Python standard library only. No SaaS account or API key is...

Excerpt: delivery_readme.md

# Delivery Notes

Thanks for buying Data Cleaning Mini-Tools.

## Start here
1. Open `README.md`.
2. Run the sample build command.
3. Review `library/sample_dirty_customers.csv`, `library/sample_clean_customers.csv` and `library/sample_cleaning_report.html`.
4. Copy `templates/data_cleaning_intake.md` before each new cleaning job.

## Files to use first
- `scripts/build_data_cleaning_tools.py`

Excerpt: sales_page.md

# Data Cleaning Mini-Tools

Clean messy CSV exports before they break your imports, dashboards or client reports.

## The offer
Data Cleaning Mini-Tools gives analysts and operators a local Python utility plus practical templates for repeatable CSV cleanup.

## Included
- CSV cleaner script with zero external dependencies.
- Dedupe, normalize and validate workflow.
- Cleaning recipe catalog.
- Validation rule catalog.

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