Python, a go-to language for data cleaning, leverages libraries like Pandas. Its concise syntax and powerful functions simplify tasks such as handling missing values, removing duplicates, and ensuring data accuracy, setting the stage for effective data analysis and informed decision-making.

I use Python Pandas to clean the messy databases and make them ready for the next step - visualisation.