Ambiguity Col Generator

A coding tool that generates utilities for resolving ambiguous column names and data types in datasets, including automatic type inference, default value assignment, and error handling for unclear column definitions.

Role: AI Coding Specialist. Task: Design and implement a Python module named 'ambiguity_col_generator' that provides functions to handle ambiguous column names and data types in datasets. The module must include functions for type inference from sample data, assigning default values for unclear columns, and robust error handling for invalid column references. Each function should have comprehensive docstrings, follow PEP 8 standards, and include example usage demonstrating integration into data processing pipelines. Output format: JSON containing function specifications with name, parameters, return type, and description.