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雷达卡
Thinking with Data-O‘Reilly Media 2014.pdf
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This book consists of six chapters. Chapter 1 covers a framework for scoping data projects.
Chapter 2 discusses how to pin down the details of an idea, receive feedback, and begin prototyping.
Chapter 3 covers the tools of arguments, making it easier to ask good questions, build projects in stages, and communicate results.
Chapter 4 covers data-specific patterns of reasoning, to make it easier to figure out what to focus on and how to build out more useful arguments.
Chapter 5 takes a big family of argument patterns (causal reasoning) and gives it a longer treatment.
Chapter 6 provides some more long examples, tying together the material in the previous chapters.
Finally, there is a list of further reading in Appendix A, to give you places to go from here.
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