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What is the process of data cleaning?How do you clean data?. Step 1: Remove duplicate or irrelevant observations. Remove unwanted observations from your dataset, including duplicate observations or irrelevant observations. ... . Step 2: Fix structural errors. ... . Step 3: Filter unwanted outliers. ... . Step 4: Handle missing data. ... . Step 5: Validate and QA.. What is the process of tracking changes Additions deletions and errors during data cleaning?Documentation is the process of tracking changes, additions, deletions, and errors during data cleaning.
Why is it important for a data analyst to document the evolution of a dataset select all that apply 1 point?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.
What are the most common processes and procedures handled by data engineers select all that apply?What are the most common processes and procedures handled by data engineers? Select all that apply. Correct. Data engineers transform data into a useful format for analysis; give it a reliable infrastructure; and develop, maintain, and test databases and related systems.
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