Data in the real world comes mainly in two different forms – structured and unstructured data. Structured data refers to those data that possess a definite format – often arranged in tabular format with names and values distinctly mentioned in it. Examples of the same include data or spreadsheets, CSVs, etc. However, most real-world data is unstructured, meaning they do not possess a pre-defined structure or organization. Examples include text, audio, video, or image data. Structural data is easier to process using computational tools, while unstructured data requires complex processes like NLP, text mining, or image processing to make sense out of the data. Thus there is a constant attempt to transform unstructured data into structured data, as w will see in the proceeding questions and concepts.