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4 cards from this section. Quick, good the night before a test.
What is the purpose of data cleaning?
Think about the importance of accuracy in data.
What do we achieve through data transformation?
Consider how data needs to be presented for computations.
What is data cleaning primarily concerned with?
Think about the state of data before analysis.
True or False: Data transformation includes converting categorical variables into numerical ones.
Review the methods used to prepare data for analysis.
You have a dataset containing 1000 entries, 10% of which are duplicates. Suggest a method for dealing with duplicates while ensuring the integrity of the original dataset.
Consider what tools might assist in identifying duplicates.
In a data analysis project, you have extensive data on customer purchases but find it overwhelmingly large. Discuss a strategy for data reduction that maintains crucial information.
Think about how you could describe the essence of your dataset in fewer dimensions.
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