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Titlebook: SQL for Data Science; Data Cleaning, Wrang Antonio Badia Textbook 2020 Springer Nature Switzerland AG 2020 Relational Database Model.SQL.Re

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The Data Life Cycle,ed, semistructured, and unstructured is discussed, as well as a description of the types of attributes that can be expected for structured datasets. Nominal/categorical, ordinal, and numerical attributes are all explained.
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Data Cleaning and Pre-processing,d Data Cleaning is introduced. Dealing with attribute transformation, missing data, outliers, and duplicates is discussed, as well as data restructuring. All techniques are illustrated with simple examples.
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2197-9723 that are very often given the short shift in traditional te.This textbook explains SQL within the context. .of data science and introduces the different parts of SQL as they are needed for the tasks usually carried out during data analysis. Using the framework of the data life cycle, it focuses on
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study of human action. Especially the recently developed causal theory of action (henceforward abbreviated as CTA) is looked upon as an improvement as well as a completion of the classical Aristotelian-Thomistic tradition in the study of human action. In his exposition of the continuity between old
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Antonio BadiaIn this chapter we will seek to expound the theories of L. von Mises, whose aim was to base economic science on a general theory of action. Thus we will show how the desiderative, cognitive and evaluative elements of individual action are internally related..The economic principle has to be somethin
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