COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Why is data cleaning important?
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To run proper analysis on the data
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To ensure the code runs
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To get rid of outliers
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To fit the data to expectations
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Explanation:
Detailed explanation-1: -Having clean data will ultimately increase overall productivity and allow for the highest quality information in your decision-making. Benefits include: Removal of errors when multiple sources of data are at play.
Detailed explanation-2: -It removes major errors and inconsistencies that are inevitable when multiple sources of data are being pulled into one dataset. Using tools to clean up data will make everyone on your team more efficient as you’ll be able to quickly get what you need from the data available to you.
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