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Raw data, often referred to as source or primary data, is data that has not yet been processed, coded, formatted, or analyzed Raw data is a colloquialism that usually refers to data stored in a completely disaggregated format (i.e., where each observation 's data can be viewed) While raw data is a valuable resource, it can be challenging to work with or understand as it’s visually cluttered and can lack cohesion.
In statistics, raw data refers to data that has been collected directly from a primary source and has not been processed in any way
In any type of data analysis project, the first step is gathering raw data Once this data has been gathered, it can then be cleaned, transformed, summarized, and visualized. In the realm of statistical analysis and data science, raw data forms the bedrock upon which all subsequent processes are built It is the initial, unrefined collection of observations, measurements, or records before undergoing any form of processing, transformation, or interpretation.
Raw data is also called source data, atomic data and primary data Unlike raw data, processed data has been corrected, cleansed, aggregated or in some other way transformed Most analytics projects collect raw data first and then process and analyze it. Raw data, also known as source or primary data, is unprocessed information collected directly from observations or measurements
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