rawdata
Raw data refers to data in its original, unprocessed form as collected from sources such as measurement devices, observations, or user inputs. It has not been cleaned, normalized, filtered, or aggregated, and may require substantial processing before it can be analyzed or used for decision making. The term is often used in contrast with processed, cleaned, or derived data. In programming contexts, rawData is a common field name for unprocessed measurements or inputs.
Characteristics of raw data include a variety of formats, potential noise, missing or inconsistent values, and
Common formats and examples include raw sensor streams (temperature, acceleration), scientific instrument outputs (spectra, chromatograms), raw
Processing and quality considerations involve steps such as data cleaning, normalization, calibration, synchronization, and transformation. Data
Applications and considerations include their role in reproducible research, machine learning training with original signals, and