A data artifact is a data flaw caused by equipment, techniques or conditions. Common sources of data flaws include hardware or software errors, conditions such as electromagnetic interference and flawed designs such as an algorithm prone to miscalculations. The following are common types of data artifact.
Flaws in digital media, documents and data records caused by data processing errors. For example, a digital camera that records a distorted or corrupted image.
Visual Artifacts Flaws in the visualizations such as user interfaces or streaming media.
Compression ArtifactA noticeable impact on data after lossy compression. For example, an image that becomes visibly distorted due to compression.
Noise Unwanted signals that interfere with data capture or transmission. For example, unwanted electrical fluctuations might cause radio reception to contain an audible noise often described as "static."
Statistical ArtifactA flaw such as a bias in statistical data.
RadarGhost objects that appear in radar due to interference such as atmospheric effects or unfiltered echoes.
Sonic ArtifactAn unwanted sound in a recording such as background noise on a film set. In some cases, artifacts are used as creative elements of music or film. For example, overdriving a bass signal for a fuzzy bass sound.
This is the complete list of articles we have written about data.
If you enjoyed this page, please consider bookmarking Simplicable.
© 2010-2023 Simplicable. All Rights Reserved. Reproduction of materials found on this site, in any form, without explicit permission is prohibited.
View credits & copyrights or citation information for this page.