Raw Data is a set of information that has not been processed or structured in any way. It is typically found in the form of a table, a text document, or a computer file, and is often used as a basis to create useful information or insights by performing certain operations on it.
Raw data is a part of the data life cycle, in which it is collected, transformed, stored, and analyzed in order to draw meaningful conclusions from the information. The stages of the life cycle often involve cleaning and pre-processing data to make it useful for the desired application.
Raw data can also be used as input for machine learning algorithms, particularly in the field of natural language processing. In this case, the data is typically linguistically processed and tagged, and then used as input into the learning algorithm.
Raw data has become increasingly important in the modern technological world, as more and more technologies are using it to generate meaning and insight from the information contained within it. This has also sparked an increase in the need for data analytics and data science professionals to manage its growth and development.
