Transcription of Think Stats - Green Tea Press
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Think Stats - Green Tea Press
Think StatsExploratory Data analysis in PythonVersion StatsExploratory Data analysis in PythonVersion B. DowneyGreen Tea PressNeedham, MassachusettsCopyrightc 2014 Allen B. Tea Press9 Washburn AveNeedham MA 02492 Permission is granted to copy, distribute, and/or modify this document underthe terms of the Creative Commons International License, which is available LATEX source for this book is available Statsis an introduction to the practical tools of exploratory dataanalysis. The organization of the book follows the process I use when I startworking with a dataset: Importing and cleaning: Whatever format the data is in, it usuallytakes some time and effort to read the data, clean and transform it, andcheck that everything made it through the translation process intact.
series analysis, survival analysis, and analytic methods. The previous edition did not use pandas, SciPy, or StatsModels, so all of that material is new. 0.1 How I wrote this book When people write a new textbook, they usually start by reading a stack of old textbooks. As a result, most books contain the same material in pretty much the same order.
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