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Exploratory data analysis using R /

"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 ass...

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Detalhes bibliográficos
Autor principal: Pearson, Ronald K.
Formato: Printed Book
Publicado em: Boca Raton CRC Press 2018
coleção:Chapman & Hall/CRC data mining and knowledge discovery,
Assuntos:
LEADER 01548nam a2200205 4500
020 |a 9781498730235 (pbk. : acidfree paper) 
020 |a 9781138480605 (hardback : acidfree paper) 
082 0 0 |a 006.312  |b PEA/E 
100 1 |a Pearson, Ronald K., 
245 1 0 |a Exploratory data analysis using R / 
260 |a Boca Raton  |b CRC Press  |c 2018 
300 |a xiii, 547 pages :  |b illustrations ; 
490 0 |a Chapman & Hall/CRC data mining and knowledge discovery, 
500 |a "A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc." 
520 |a "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"-- 
650 0 |a Data mining 
650 0 |a R (Computer program language) 
942 |c BK 
999 |c 57044  |d 57044 
952 |0 0  |1 0  |4 0  |6 006_312000000000000_PEAE  |7 0  |9 64091  |a KUCL  |c Stack  |d 2019-04-17  |l 0  |o 006.312 PEA/E  |p 49701  |r 2019-04-17  |w 2019-04-17  |y BK