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 essential for researchers and analysts to derive insights. Examples of raw data include numbers, text, images, or audio recordings. In the context of data analysis, raw data serves as the foundation for creating meaningful conclusions. Once processed, it can be transformed into structured formats, such as tables or graphs, which help in understanding trends and patterns. Tools like spreadsheets or data visualization software are often used to analyze raw data effectively.