Librería: World of Books (was SecondSale), Montgomery, IL, Estados Unidos de America
EUR 31,64
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.
Librería: Jackson Street Booksellers, Omaha, NE, Estados Unidos de America
Original o primera edición
EUR 26,02
Cantidad disponible: 1 disponibles
Añadir al carritoSoft cover. Condición: Very Good. 1st Edition. Very good copy in softcover. Grey spine with white title.
Librería: Reuseabook, Gloucester, GLOS, Reino Unido
EUR 52,47
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: 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.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 61,48
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Taylor & Francis Inc, Portland, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de America
EUR 63,78
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 63,38
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 71,46
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Taylor and Francis Inc, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 66,29
Cantidad disponible: 1 disponibles
Añadir al carritoUNK. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 76,02
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 62,38
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Taylor & Francis Group, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Librería: Majestic Books, Hounslow, Reino Unido
EUR 73,54
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New. pp. 562.
Idioma: Inglés
Publicado por T And F Crc Press, 2018
Librería: Books in my Basket, New Delhi, India
EUR 65,73
Cantidad disponible: 1 disponibles
Añadir al carritoSoft cover. Condición: New. ISBN:9781498730235.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 65,68
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 66,28
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: New.
Idioma: Inglés
Publicado por Taylor & Francis Group, 2020
ISBN 10: 0367571560 ISBN 13: 9780367571566
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 83,67
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New. pp. 562.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 62,39
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 69,89
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Taylor & Francis Group, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 89,48
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New. pp. 562.
Idioma: Inglés
Publicado por Taylor & Francis Group, 2020
ISBN 10: 0367571560 ISBN 13: 9780367571566
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 83,26
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New. pp. 562.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 72,96
Cantidad disponible: 1 disponibles
Añadir al carritoMixed media product. Condición: New. New copy - Usually dispatched within 4 working days.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 80,94
Cantidad disponible: 1 disponibles
Añadir al carritoBook/CD-ROM. Condición: Brand New. 547 pages. 9.00x6.00x1.00 inches. In Stock.
Idioma: Inglés
Publicado por Taylor & Francis Group, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 89,45
Cantidad disponible: 3 disponibles
Añadir al carritoCondición: New. pp. 562.
Idioma: Inglés
Publicado por Taylor & Francis Inc, Portland, 2018
ISBN 10: 149873023X ISBN 13: 9781498730235
Librería: AussieBookSeller, Truganina, VIC, Australia
EUR 77,12
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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.
Librería: moluna, Greven, Alemania
EUR 62,76
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: 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.
Idioma: Inglés
Publicado por Taylor & Francis Ltd Jun 2020, 2020
ISBN 10: 0367571560 ISBN 13: 9780367571566
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 79,61
Cantidad disponible: 2 disponibles
Añadir al carritoTaschenbuch. Condición: 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.
Librería: HPB-Red, Dallas, TX, Estados Unidos de America
EUR 152,68
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: 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!
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 208,52
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
EUR 206,07
Cantidad disponible: 10 disponibles
Añadir al carritoCondición: New.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 196,61
Cantidad disponible: 1 disponibles
Añadir al carritoHardcover. Condición: New. New. book.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 216,53
Cantidad disponible: 1 disponibles
Añadir al carritoCondición: New.