Dirty data, also known as rogue data,[1] are inaccurate, incomplete or inconsistent data, especially in a computer system or database.[2]
Dirty data can contain such mistakes as spelling or punctuation errors, incorrect data associated with a field, incomplete or outdated data, or even data that has been duplicated in the database. They can be cleaned through a process known as data cleansing.[3]
- ^ Spotless version 12 out now
- ^ Margaret Chu (2004), "What Are Dirty Data?", Blissful Data, p. 71 et seq, ISBN 9780814407806
- ^ Wu, S. (2013), "A review on coarse warranty data and analysis" (PDF), Reliability Engineering and System, 114: 1–11, doi:10.1016/j.ress.2012.12.021