COMPUTER SCIENCE AND ENGINEERING
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explanation-1: -Dirty data, or unclean data, is data that is in some way faulty: it might contain duplicates, or be outdated, insecure, incomplete, inaccurate, or inconsistent. Examples of dirty data include misspelled addresses, missing field values, outdated phone numbers, and duplicate customer records.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: -Clean data are valid, accurate, complete, consistent, unique, and uniform. Dirty data include inconsistencies and errors. Dirty data can come from any part of the research process, including poor research design, inappropriate measurement materials, or flawed data entry.
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