Chapter 2: Data Science, Statistics, and Time-Series
Abstract
Most of the effort in a data science project lies in getting a clean, representative, informative dataset. This chapter discusses all the relevant steps in getting to this point. A brief discussion of measuring and storing data in control systems and historians starts us off and we observe along the way that all data is uncertain to some degree. Time-series have an inherent time scale and may be correlated with each other. These relationships can be encoded in a mathematical representation of the process that made the data, i.e. ...
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