Q: A data analyst needs to combine two datasets. Each dataset comes from a different system, and the systems store data in different ways. What can the data analyst do to ensure the data is compatible?
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Q: Combining two datasets is a task for a data analyst. Every dataset originates from a distinct system, and systems vary in how they store data. How can the data analyst guarantee the compatibility of the data?
- Merge the data
- Use a data visualization
- Map the data
- Apply a data structure
Explanation: Performing data normalization or standardization is something that a data analyst might do to guarantee compatibility between two datasets that are stored in distinct techniques. The process of changing the data into a standard format or structure is required to facilitate the efficient combination of the data. Standardizing units of measurement, consistently displaying dates, dealing with missing information, and fixing any other anomalies in the data structure are all examples of things that might fall under this category. Implementing a standard or data format that is universally accepted would make the process of integrating and analyzing the combined information much simpler.
