The Art of Data Science, Roger D.Peng, Elizabeth Matsui
Roger D.Peng,Elizabeth Matsui

The Art of Data Science

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This book describes the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and this book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science.
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234 printed pages



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Andrey Borovoy
Andrey Borovoyhas quoted2 years ago
In this chapter we go into detail about what this 3-step epicyclic process is and give examples of how you can apply it to your data analysis.
thebookishomehas quoted3 years ago
Revisit your original question
Start with the primary statistical model to get your bearings and focus on the nature of the result rather than on a binary assessment of the result (e.g. statistically significant or not). The nature of the result includes three characteristics: its directionality, magnitude, and uncertainty. Uncertainty is an assessment of how likely the result was obtained by chance.
Develop an overall interpretation based on (a) the totality of your analysis and (b) the context of what is already known about the subject matter.
Consider the implications, which will guide you in determining what action(s), if any, sbould be taken as a result of the answer to your question.

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