Consider the business problem. ✓
Correct
To see the big picture when verifying data cleaning, consider the business problem, the goal, and the data.
Consider the data. ✓
Correct
To see the big picture when verifying data cleaning, consider the business problem, the goal, and the data.
Consider the goal. ✓
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To see the big picture when verifying data cleaning, consider the business problem, the goal, and the data.
Consider the reporting.
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What is involved in seeing the big picture when verifying data cleaning?
Correct. To see the big picture when verifying data cleaning, consider the business problem, the goal, and the data.
What was the most challenging part of cleaning the data?
Data cleaning is tricky and time-consuming
Cleaning the data requires removal of duplications, removing or replacing missing entries, correcting misfielded values, ensuring consistent formatting and a host of other tasks which take a considerable amount of time.
Why is it important for a data analyst to document the evolution of a dataset select all that apply?
Why is it important for a data analyst to document the evolution of a dataset? Select all that apply. Correct: It is important to document the evolution of a dataset in order to recover data-cleaning errors, inform other users of changes, and determine the quality of the data.