Real-world data is often messy. A sales sheet might have missing numbers, social media comments could have spelling mistakes, or numbers might be stored as text instead of digits. These issues make it hard to understand or use the data.
helps fix these problems. It makes the data accurate, clear, and ready to use. Here are 10 simple techniques that can turn messy data into something useful.
