CHAPTER 7
Data Exploration, Validation, and Data Sanitization
Preparing the data for the actual analysis is an important portion of any analytics project. The raw data comes from a variety of sources such as classical relational databases, flat files, spreadsheets, and unstructured data from sources such as social media text. A project may contain both structured and unstructured data, and to add to the complexity, there can be numerous data sources. As you would expect, the data will have a lot of challenges—both in quality and in quantity. An analyst needs to first read the data from its sources, which itself can be a challenging task, and ...
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