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Batch-01_BSc_Semester-01_Basics Of Data Analytics

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What drives the decision to convert hierarchical data between long and wide formats?
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In relational data sets, what is typically used to combine records across tables?
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Why should missing data not immediately be seen as poor data quality?
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Which scenario justifies missing data due to non-applicability?
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Which transformation is useful for handling highly skewed data with a long right tail?
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Which of the following is a common cause of missing data in a dataset?
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When encountering suspicious data, what can help determine its validity?
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What is a potential reason for missing location data in customer records?
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What should you consider before treating a data value as an error?
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What is a risk of dropping records with discrepancies?
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