LEADER 00000cam a2200385Ma 4500 
003    OCoLC 
005    20240129213017.0 
006    m     o  d         
007    cr cn||||||||| 
008    190911s2019    xx      o     000 0 eng d 
024 8  9781789804379 
035    (OCoLC)1118978664 
040    OTZ|beng|cOTZ|dOCLCQ|dTOH|dOCLCQ 
049    INap 
082 04 006.3/12 
082 04 006.3/12|qOCoLC|223/eng/20230216 
099    eBook O'Reilly for Public Libraries 
100 1  Datar, Radhika,|eauthor. 
245 10 Hands-On Exploratory Data Analysis with R /|cDatar, 
       Radhika.|h[O'Reilly electronic resource] 
250    1st edition. 
264  1 |bPackt Publishing,|c2019. 
300    1 online resource (266 pages) 
336    text|btxt|2rdacontent 
337    computer|bc|2rdamedia 
338    online resource|bcr|2rdacarrier 
347    text file 
365    |b29.99 
520    Learn exploratory data analysis concepts using powerful R 
       packages to enhance your R data analysis skills Key 
       Features Speed up your data analysis projects using 
       powerful R packages and techniques Create multiple hands-
       on data analysis projects using real-world data Discover 
       and practice graphical exploratory analysis techniques 
       across domains Book Description Hands-On Exploratory Data 
       Analysis with R will help you build a strong foundation in
       data analysis and get well-versed with elementary ways to 
       analyze data. You will learn how to understand your data 
       and summarize its characteristics. You'll also study the 
       structure of your data, and you'll explore graphical and 
       numerical techniques using the R language. This book 
       covers the entire exploratory data analysis (EDA) process-
       data collection, generating statistics, distribution, and 
       invalidating the hypothesis. As you progress through the 
       book, you will set up a data analysis environment with 
       tools such as ggplot2, knitr, and R Markdown, using DOE 
       Scatter Plot and SML2010 for multifactor, optimization, 
       and regression data problems. By the end of this book, you
       will be able to successfully carry out a preliminary 
       investigation on any dataset, uncover hidden insights, and
       present your results in a business context. What you will 
       learn Learn effective R techniques that can accelerate 
       your data analysis projects Import, clean, and explore 
       data using powerful R packages Practice graphical 
       exploratory analysis techniques Create informative data 
       analysis reports using ggplot2 Identify and clean missing 
       and erroneous data Explore data analysis techniques to 
       analyze multi-factor datasets Who this book is for Hands-
       On Exploratory Data Analysis with R is for data 
       enthusiasts who want to build a strong foundation in data 
       analysis. If you are a data analyst, data engineer, 
       software engineer, or product manager, this book will 
       sharpen your skills in the complete exploratory data 
       analysis workflow. Downloading the example code for this 
       ebook: You can download the example code files for this 
       ebook on GitHub at the following link: https://github.com/
       PacktPublishing/Hands-On-Exploratory-Data-Analysis-with-R 
       . If you require support please email: customercare@
       packt.com. 
542    |fCopyright © 2019 Packt Publishing|g2019 
550    Made available through: Safari, an O'Reilly Media Company.
588 0  Online resource; Title from title page (viewed May 31, 
       2019). 
590    O'Reilly|bO'Reilly Online Learning: Academic/Public 
       Library Edition 
700 1  Garg, Harish,|eauthor. 
710 2  Safari, an O'Reilly Media Company. 
856 40 |uhttps://ezproxy.naperville-lib.org/login?url=https://
       learning.oreilly.com/library/view/~/9781789804379/?ar
       |zAvailable on O'Reilly for Public Libraries 
994    92|bJFN