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It is also common for the costs of data to vary. Some data will be available virtually for free while others will require effort to obtain. Some data may be purchased. Still other data simply won’t exist and will require entire ancillary projects to arrange their collection. A critical part of the data understanding phase is estimating the costs and benefits of each data source and deciding whether further investment is merited. Even after all datasets are acquired, collating them may require additional effort.
Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
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