Clean gjør akkurat det som det høres ut som. Vasker data.

Description of Clean

(summary by Claude)

# Frei Data Clean

A Python tool for cleaning and validating customer contact and company data from CSV files.

## Features

### Data Processing

- Processes both contact and company data
- Validates and standardizes:
  - Email addresses (format and domain)
  - Phone numbers (Norwegian and international formats)
  - Names (first name and last name)
- Handles multiple emails per record (extras moved to 'other_emails')
- Caches domain validation results (24-hour expiry)
- Identifies duplicate records
- Supports custom output paths and CSV delimiters

### Name Processing

- Handles both full_name and first_name/last_name inputs
- Splits full names on last space
- Standardizes case (Title Case)
- Preserves compound surnames
- Handles empty values and whitespace

### Email Validation

- Format validation
- Domain MX record checking
- Multiple email handling
- Duplicate detection
- Status tracking:
  - 'valid' - Valid format and domain
  - 'invalid domain' - Valid format but invalid domain
  - 'invalid format' - Invalid email format
  - 'duplicate' - Duplicate email address
  - '' (empty) - Empty email field

### Phone Number Processing

- Norwegian number formatting
- International number support
- Shortcode handling
- Mobile/landline detection
- Status tracking:
  - 'valid norwegian' - Valid Norwegian format
  - 'valid intl' - Valid international format
  - 'shortcode' - 5-digit shortcode
  - 'invalid length' - Wrong number of digits
  - 'invalid format' - Doesn't match any valid format
  - 'moved to mobile' - Landline number moved to mobile
  - 'moved to phone' - Mobile number moved to landline
  - 'empty' - No number provided