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Various types of errors and issues

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You read about the various types of errors and issues that you need to address in the data preparation/cleaning stage. Discuss the types of issues and the impact they could have on your project. Are there certain types of errors that could have a bigger effect than others? Provide an example of a potential project (or a real project that you have read about) and errors in the data that could severely impact the results.

The answer should be related to Data driven project.

Reference no: EM132975412

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