Exploratory Data Analysis Using R

系列名：Chapman & Hall/Crc Data Mining and Knowledge
ISBN13：9781138480605
出版社：Chapman & Hall
作者：Ronald K. Pearson
出版日：2018/04/06
裝訂／頁數：精裝／400頁
規格：23.5cm*15.9cm*3.8cm (高/寬/厚)
關鍵字： Exploratory Data Analysis Using R、 Exploratory、 Data、 Analysis、 Using、 Chapman & Hall、 Ronald K. Pearson、外文書、商業財經、 Special computer methods、

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：NT$ 12600 元

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商品簡介

"This textbook will introduce exploratory data analysis (EDA) and will cover the range of interesting features we can expect to find in data. The book will also explore the practical mechanics of using R to do EDA. Based on the author's course at the University of Connecticut, the book assumes no prior exposure to data analysis or programming, and is designed to be as non-mathematical as possible. Exercises are included throughout, and a Solutions Manual will be available. The author will also provide a supplemental R package through the Comprehensive R Archive Network that will include implementations of some of the features in this book, along with data examples, tools, and datasets"--

作者簡介

Ronald K. Pearson currently works for GeoVera, a property insurance company in Fairfield, California, primarily in the analysis of text data. He holds a PhD in Electrical Engineering and Computer Science from the Massachussetts Institute of Technology and has published conference and journal papers on topics ranging from nonlinear dynamic model structure selection to the problems of disguised missing data in predictive modeling. Dr. Pearson has authored or co-authored books including Exploring Data in Engineering, the Sciences, and Medicine (Oxford University Press, 2011) and Nonlinear Digital Filtering with Python, co-authored with Moncef Gabbouj (CRC Press, 2015). He is also the developer of the DataCamp course on base R graphics.

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