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Exploratory Data Analysis Using R (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Anbieter: Jackson Street Booksellers, Omaha, NE, USA
Verkäuferbewertung 5 von 5 Sternen
Erstausgabe
Soft cover. Zustand: Very Good. 1st Edition. Very good copy in softcover. Grey spine with white title.
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Exploratory Data Analysis Using R (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Anbieter: World of Books (was SecondSale), Montgomery, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: 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 and Hall/CRC Data Mining and Knowledge Discovery Series)
Anbieter: Reuseabook, Gloucester, GLOS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 58,64
EUR 6,26 für den Versand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: Used; Like New. Dispatched, from the UK, within 48 hours of ordering. This book is in mint condition. Both the pages and the cover are completely intact, without zero sign of previous usage.
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Exploratory Data Analysis Using R
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: As New. Unread book in perfect condition.
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Exploratory Data Analysis Using R
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New.
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Exploratory Data Analysis Using R (Hardcover)
Verlag: Taylor & Francis Inc, Portland, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Sprache: Englisch
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: 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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Zustand: New. pp. 562.
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Exploratory Data Analysis Using R
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 63,29
EUR 7,40 für den Versand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
In den WarenkorbZustand: New. pp. 562.
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Exploratory Data Analysis Using R
Anbieter: PBShop.store UK, Fairford, GLOS, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 65,37
EUR 7,69 für den Versand von Vereinigtes Königreich nach USAAnzahl: 10 verfügbar
In den WarenkorbUNK. Zustand: New. New Book. Shipped from UK. Established seller since 2000.
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Exploratory Data Analysis Using R
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 60,84
EUR 17,07 für den Versand von Vereinigtes Königreich nach USAAnzahl: 10 verfügbar
In den WarenkorbZustand: As New. Unread book in perfect condition.
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Exploratory Data Analysis Using R
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 61,25
EUR 17,07 für den Versand von Vereinigtes Königreich nach USAAnzahl: 10 verfügbar
In den WarenkorbZustand: New.
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Exploratory Data Analysis Using R
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. pp. 562.
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Exploratory Data Analysis Using R
Verlag: T And F Crc Press, 2018
Sprache: Englisch
Anbieter: Books in my Basket, New Delhi, Indien
Verkäuferbewertung 5 von 5 Sternen
Soft cover. Zustand: New. ISBN:9781498730235.
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Exploratory Data Analysis Using R
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 65,36
EUR 17,07 für den Versand von Vereinigtes Königreich nach USAAnzahl: 10 verfügbar
In den WarenkorbZustand: New.
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Exploratory Data Analysis Using R
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 61,26
EUR 24,88 für den Versand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
In den WarenkorbPaperback / softback. Zustand: New. New copy - Usually dispatched within 4 working days. 1112.
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Zustand: New. pp. 562.
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Exploratory Data Analysis Using R
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 71,73
EUR 17,07 für den Versand von Vereinigtes Königreich nach USAAnzahl: 10 verfügbar
In den WarenkorbZustand: As New. Unread book in perfect condition.
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Exploratory Data Analysis Using R
Anbieter: Biblios, Frankfurt am main, HESSE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Zustand: New. pp. 562.
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Exploratory Data Analysis Using R
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 71,53
EUR 22,97 für den Versand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
In den WarenkorbMixed media product. Zustand: New. New copy - Usually dispatched within 4 working days. 944.
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Exploratory Data Analysis Using R: Includes Digital Download
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 80,09
EUR 14,22 für den Versand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
In den WarenkorbBook/CD-ROM. Zustand: Brand New. 547 pages. 9.00x6.00x1.00 inches. In Stock.
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EUR 62,76
EUR 48,99 für den Versand von Deutschland nach USAAnzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. 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.
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Exploratory Data Analysis Using R (Hardcover)
Verlag: Taylor & Francis Inc, Portland, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Sprache: Englisch
Anbieter: AussieBookSeller, Truganina, VIC, Australien
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: 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
Verlag: Taylor & Francis Ltd Jun 2020, 2020
ISBN 10: 0367571560 ISBN 13: 9780367571566
Sprache: Englisch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware - 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.
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Exploratory Data Analysis Using R (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
Verkäuferbewertung 4 von 5 Sternen
EUR 125,40
EUR 28,45 für den Versand von Vereinigtes Königreich nach USAAnzahl: 1 verfügbar
In den WarenkorbPaperback. Zustand: New. New. Ships from Multiple Locations. book.
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Hardcover. Zustand: 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
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 191,42
EUR 17,07 für den Versand von Vereinigtes Königreich nach USAAnzahl: 10 verfügbar
In den WarenkorbZustand: As New. Unread book in perfect condition.
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Exploratory Data Analysis Using R (Hardcover)
Verlag: Taylor & Francis Ltd, London, 2018
ISBN 10: 1138480606 ISBN 13: 9781138480605
Sprache: Englisch
Anbieter: Grand Eagle Retail, Bensenville, IL, USA
Verkäuferbewertung 5 von 5 Sternen
Hardcover. Zustand: 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). This textbook introduces exploratory data analysis (EDA) and covers the range of interesting features we can expect to find in data. The book also explores the practical mechanics of using R to do EDA. 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
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 210,19
EUR 7,40 für den Versand von Vereinigtes Königreich nach USAAnzahl: 3 verfügbar
In den WarenkorbZustand: New.
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Exploratory Data Analysis Using R
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes Königreich
Verkäuferbewertung 5 von 5 Sternen
EUR 203,91
EUR 17,07 für den Versand von Vereinigtes Königreich nach USAAnzahl: 10 verfügbar
In den WarenkorbZustand: New.
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Exploratory Data Analysis Using R
Anbieter: GreatBookPrices, Columbia, MD, USA
Verkäuferbewertung 5 von 5 Sternen
Zustand: New.
