The term usually refers to any set of information that has been gathered for some specific reason, before any summarizing or testing of the data has been done. For example, you might be interested in studying the height, weight, age, socio-economic status and school performance of children in large city environments. You probably gathered many thousands of individual pieces of information about many thousands of children. Just handing someone the thousands or tens of thousands of pieces of data isn't going to be very helpful, unless the person you are handing it to is in charge of summary and analysis.
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Raw data refers to unprocessed data that has not been manipulated or analyzed. It is the original data collected from a source without any formatting or transformation. Raw data serves as the foundation for analysis and decision-making in various fields such as research, business, and data science.
Calculated data is data attained from a theory and or formula. Raw data is data accumulated from an observation or experiment. If the calculated data from a theory is successful in predicting the raw data of an observation/experiment, then the theory is strengthened.
Yes, "raw" can be an adjective used to describe something that is in its natural or unprocessed state, such as raw vegetables or raw data.
Data is considered raw material because it provides the foundation for generating insights, making decisions, and creating value. Similar to raw materials in manufacturing, data is processed and transformed into useful information through analysis and interpretation. Just as raw materials are refined to create finished products, data is refined to generate knowledge and drive innovation.
The raw material in the production of information is data. Data are facts, statistics, or information used as input for analysis, processing, or discussion to generate meaningful insights, knowledge, or communication.
In an expert system the sensor is capturing raw data. This data is used to analyze, examine, organize, and secure data for reporting and visualization.