Ingests a CSV file and diagnoses its problems: missing headers, inconsistent column counts, empty cells, mixed delimiters (commas vs. semicolons vs. tabs), encoding issues, quoted fields with embedded newlines. Repairs what it can (with warnings), rejects what it can't (with explanations), and outputs a clean JSON file.

A basic Python program demonstrating how to read from and write to CSV files using the csv module. Useful for data handling and file I/O concepts.

Reads a messy text file (copy-pasted contact lists, email threads, business cards dumped into text) and extracts every valid email and phone number. Outputs a clean CSV with columns: name_if_found, email, phone, source_line,confidence_score.