Imagine you have a dataset containing customer transactions for an online retail store. The dataset has columns for order ID, customer ID, product ID, quantity, order date, and total amount. Your task is to clean and preprocess this data for analysis by filling in missing values, removing duplicates, and converting data types as necessary. Explain how you would use Pandas to accomplish this, detailing the functions you would use for each task.