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EXPLORATORY DATA ANALYSIS USING R (DATA MINING AND KNOWLEDGE DISCOVERY SERIES)
Published by CRC Press, A Chapman & Hall Book, Boca Raton, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Language: English
Seller: Second Story Books, ABAA, Rockville, MD, U.S.A.
Seller rating 4 out of 5 stars
Softcover. Octavo, xv, 547 pages. In Good plus condition. Spine is grey with white print. Cover has slight edge wear. Text block has name in ink on half-title page. Illustrated: graphs and figures, chiefly b&w. NOTE: Shelved in Netdesk Column R. 1395516. FP New Rockville Stock.
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Exploratory Data Analysis Using R
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367571560 ISBN 13: 9780367571566
Language: English
Condition: New.
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Exploratory Data Analysis Using R
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367571560 ISBN 13: 9780367571566
Language: English
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Exploratory Data Analysis Using R (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Published by Chapman and Hall/CRC, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Language: English
Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Exploratory Data Analysis Using R (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Published by Chapman and Hall/CRC, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Language: English
Condition: Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.
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Exploratory Data Analysis Using R
Published by Taylor & Francis Group, 2020
ISBN 10: 0367571560 ISBN 13: 9780367571566
Language: English
Condition: New. pp. 562.
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Exploratory Data Analysis Using R
Published by Chapman and Hall/CRC, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Language: English
Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Exploratory Data Analysis Using R
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367571560 ISBN 13: 9780367571566
Language: English
Condition: As New. Unread book in perfect condition.
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Exploratory Data Analysis Using R
Published by Taylor & Francis Group, 2020
ISBN 10: 0367571560 ISBN 13: 9780367571566
Language: English
US$ 65.12
Convert currencyUS$ 11.14 shipping from Germany to U.S.A.Quantity: 4 available
Add to basketCondition: New. pp. 562.
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Exploratory Data Analysis Using R
Published by Chapman and Hall/CRC, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Language: English
Condition: New.
-
Exploratory Data Analysis Using R
Published by Taylor & Francis Group, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Language: English
Condition: New. pp. 562.
-
Exploratory Data Analysis Using R
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367571560 ISBN 13: 9780367571566
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 62.44
Convert currencyUS$ 19.96 shipping from United Kingdom to U.S.A.Quantity: 10 available
Add to basketCondition: New.
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Exploratory Data Analysis Using R
Published by Taylor & Francis Group, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Language: English
US$ 73.27
Convert currencyUS$ 8.65 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketCondition: New. pp. 562.
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Exploratory Data Analysis Using R
Published by Chapman and Hall/CRC, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Language: English
Condition: As New. Unread book in perfect condition.
-
Exploratory Data Analysis Using R (Hardcover)
Published by Taylor & Francis Inc, Portland, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Language: English
Hardcover. Condition: new. Hardcover. Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" good, bad, and ugly features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to explore and explain data.The book begins with a detailed overview of data, exploratory analysis, and R, as well as graphics in R. It then explores working with external data, linear regression models, and crafting data stories. The second part of the book focuses on developing R programs, including good programming practices and examples, working with text data, and general predictive models. The book ends with a chapter on "keeping it all together" that includes managing the R installation, managing files, documenting, and an introduction to reproducible computing.The book is designed for both advanced undergraduate, entry-level graduate students, and working professionals with little to no prior exposure to data analysis, modeling, statistics, or programming. it keeps the treatment relatively non-mathematical, even though data analysis is an inherently mathematical subject. Exercises are included at the end of most chapters, and an instructor's solution manual is available.About the Author:Ronald K. Pearson holds the position of Senior Data Scientist with GeoVera, a property insurance company in Fairfield, California, and he has previously held similar positions in a variety of application areas, including software development, drug safety data analysis, and the analysis of industrial process data. He holds a PhD in Electrical Engineering and Computer Science from the Massachusetts 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. He is also the developer of the DataCamp course on base R graphics and is an author of the datarobot and GoodmanKruskal R packages available from CRAN (the Comprehensive R Archive Network). "A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc." Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Exploratory Data Analysis Using R
Published by Taylor and Francis Inc, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 4 out of 5 stars
US$ 79.40
Convert currencyUS$ 8.99 shipping from United Kingdom to U.S.A.Quantity: 10 available
Add to basketUNK. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Exploratory Data Analysis Using R
Published by Chapman and Hall/CRC, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 70.14
Convert currencyUS$ 19.96 shipping from United Kingdom to U.S.A.Quantity: 10 available
Add to basketCondition: New.
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US$ 78.43
Convert currencyUS$ 13.30 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Brand New. 562 pages. 9.21x6.14x1.20 inches. In Stock.
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Exploratory Data Analysis Using R
Published by Chapman and Hall/CRC, 2020
ISBN 10: 0367571560 ISBN 13: 9780367571566
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 71.80
Convert currencyUS$ 19.96 shipping from United Kingdom to U.S.A.Quantity: 10 available
Add to basketCondition: As New. Unread book in perfect condition.
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Exploratory Data Analysis Using R
Published by Taylor & Francis Group, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Language: English
US$ 81.08
Convert currencyUS$ 11.14 shipping from Germany to U.S.A.Quantity: 1 available
Add to basketCondition: New. pp. 562.
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Exploratory Data Analysis Using R (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Published by Chapman and Hall/CRC 2018-04-13, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Language: English
US$ 72.87
Convert currencyUS$ 20.61 shipping from United Kingdom to U.S.A.Quantity: 10 available
Add to basketPaperback. Condition: New.
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US$ 75.77
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Add to basketSoft cover. Condition: New. ISBN:9781498730235.
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Exploratory Data Analysis Using R
Published by Taylor & Francis Ltd, 2020
ISBN 10: 0367571560 ISBN 13: 9780367571566
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 70.63
Convert currencyUS$ 23.77 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days. 1112.
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Exploratory Data Analysis Using R
Published by Chapman and Hall/CRC, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Language: English
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
US$ 83.79
Convert currencyUS$ 19.96 shipping from United Kingdom to U.S.A.Quantity: 10 available
Add to basketCondition: As New. Unread book in perfect condition.
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Exploratory Data Analysis Using R
Published by Taylor & Francis Inc, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Language: English
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
US$ 82.66
Convert currencyUS$ 21.54 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketMixed media product. Condition: New. New copy - Usually dispatched within 4 working days. 944.
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US$ 93.65
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Add to basketBook/CD-ROM. Condition: Brand New. 547 pages. 9.00x6.00x1.00 inches. In Stock.
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Exploratory Data Analysis Using R (Hardcover)
Published by Taylor & Francis Inc, Portland, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Language: English
US$ 79.16
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketHardcover. Condition: new. Hardcover. Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" good, bad, and ugly features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R to explore and explain data.The book begins with a detailed overview of data, exploratory analysis, and R, as well as graphics in R. It then explores working with external data, linear regression models, and crafting data stories. The second part of the book focuses on developing R programs, including good programming practices and examples, working with text data, and general predictive models. The book ends with a chapter on "keeping it all together" that includes managing the R installation, managing files, documenting, and an introduction to reproducible computing.The book is designed for both advanced undergraduate, entry-level graduate students, and working professionals with little to no prior exposure to data analysis, modeling, statistics, or programming. it keeps the treatment relatively non-mathematical, even though data analysis is an inherently mathematical subject. Exercises are included at the end of most chapters, and an instructor's solution manual is available.About the Author:Ronald K. Pearson holds the position of Senior Data Scientist with GeoVera, a property insurance company in Fairfield, California, and he has previously held similar positions in a variety of application areas, including software development, drug safety data analysis, and the analysis of industrial process data. He holds a PhD in Electrical Engineering and Computer Science from the Massachusetts 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. He is also the developer of the DataCamp course on base R graphics and is an author of the datarobot and GoodmanKruskal R packages available from CRAN (the Comprehensive R Archive Network). "A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc." Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Exploratory Data Analysis Using R (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Published by Chapman and Hall/CRC, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Language: English
US$ 121.96
Convert currencyUS$ 33.26 shipping from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: New. New. book.
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Exploratory Data Analysis Using R (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Published by Chapman and Hall/CRC, 2018
ISBN 10: 1138480606 ISBN 13: 9781138480605
Language: English
Hardcover. Condition: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
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Exploratory Data Analysis Using R (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Published by Chapman and Hall/CRC 2018-05-22, 2018
ISBN 10: 1138480606 ISBN 13: 9781138480605
Language: English
US$ 202.18
Convert currencyUS$ 20.61 shipping from United Kingdom to U.S.A.Quantity: 10 available
Add to basketHardcover. Condition: New.
