EMERGING TRENDS IN COMPUTING
ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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What are the common types of dirty data?
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Malformed value
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Duplicate value
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Logically wrong value
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Missing values
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Explanation:
Detailed explanation-1: -Dirty data, or unclean data, is data that is in some way faulty: it might contain duplicates, or be outdated, insecure, incomplete, inaccurate, or inconsistent. Examples of dirty data include misspelled addresses, missing field values, outdated phone numbers, and duplicate customer records.
Detailed explanation-2: -Dirty data-data that is inaccurate, incomplete or inconsistent-is one of these surprises. Experian reports that on average, companies across the globe feel that 26% of their data is dirty.
Detailed explanation-3: -Dirty data, also known as rogue data, are inaccurate, incomplete or inconsistent data, especially in a computer system or database.
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