Data Preparation is the process of cleaning and organizing raw data to make it suitable for analysis. This involves removing errors, handling missing values, and converting data into a consistent format. Proper data preparation ensures that the analysis yields accurate and reliable results. Additionally, Data Preparation often includes transforming data types, normalizing values, and creating new features that can enhance the analysis. By taking these steps, analysts can better understand patterns and trends, ultimately leading to more informed decision-making in various fields, such as business, healthcare, and science.