Raw data refers to unprocessed information collected from various sources, such as surveys, experiments, or sensors. This data is in its original form and has not been analyzed or organized, making it difficult to interpret without further processing. Examples of raw data include numbers, text, images, or audio recordings. In the context of data analysis, raw data serves as the foundation for generating insights. Analysts use tools and techniques to clean, organize, and analyze this data, transforming it into meaningful information. Proper handling of raw data is crucial for accurate results in fields like statistics, machine learning, and research.