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Published by O'Reilly Media, Incorporated, 2015
ISBN 10: 1491922613 ISBN 13: 9781491922613
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Published by O'Reilly Media 11/8/2015, 2015
ISBN 10: 1491922613 ISBN 13: 9781491922613
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Published by Brassworks 4 Publishing, 2006
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Published by O'Reilly Media, Inc, USA, 2015
ISBN 10: 1491922613 ISBN 13: 9781491922613
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Published by Oreilly & Associates Inc, 2015
ISBN 10: 1491922613 ISBN 13: 9781491922613
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Published by O'REILLY & ASSOC INC, 2015
ISBN 10: 1491922613 ISBN 13: 9781491922613
Seller: Agapea Libros, Malaga, MA, Spain
Condition: New. Idioma/Language: Inglés. It's much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You'll learn methods for highlighting important relationships and trends, reducing data to simpler forms, and emphasizing key numbers at a glance. Anyone who wants to analyze data will find something useful here--even if you don't have a background in mathematics, statistics, or computer programming. If you want to examine data related to your work, this book is the ideal way to start. Get started with R by learning basic commands Build single variable graphs, such as dot and pie charts, box plots, and histograms Explore the relationship between two quantitative variables with scatter plots, high-density plots, and other techniques Use scatterplot matrices, 3D plots, clustering, heat maps, and other graphs to visualize relationships among three or more variables *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.
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Published by O?Reilly Media, Inc, USA, 2015
ISBN 10: 1491922613 ISBN 13: 9781491922613
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First Edition
Condition: New. Anyone who wants to analyze data will find something useful here-even if you don't have a background in mathematics, statistics, or computer programming. If you want to examine data related to your work, this book is the ideal way to start. Num Pages: 336 pages. BIC Classification: UFM. Category: (XV) Technical / Manuals. Dimension: 155 x 230 x 21. Weight in Grams: 492. . 2015. 1st Edition. Paperback. . . . .
Language: English
Published by O Reilly Media, Inc, USA, 2015
ISBN 10: 1491922613 ISBN 13: 9781491922613
Seller: Kennys Bookstore, Olney, MD, U.S.A.
Condition: New. Anyone who wants to analyze data will find something useful here-even if you don't have a background in mathematics, statistics, or computer programming. If you want to examine data related to your work, this book is the ideal way to start. Num Pages: 336 pages. BIC Classification: UFM. Category: (XV) Technical / Manuals. Dimension: 155 x 230 x 21. Weight in Grams: 492. . 2015. 1st Edition. Paperback. . . . . Books ship from the US and Ireland.
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Language: English
Published by O\'Reilly Media, Inc, USA, 2015
ISBN 10: 1491922613 ISBN 13: 9781491922613
Seller: moluna, Greven, Germany
Condition: New. Anyone who wants to analyze data will find something useful here-even if you don t have a background in mathematics, statistics, or computer programming. If you want to examine data related to your work, this book is the ideal way to start.Über.
Language: English
Published by O'reilly Media Dez 2015, 2015
ISBN 10: 1491922613 ISBN 13: 9781491922613
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. Neuware - It's much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You'll learn methods for highlighting important relationships and trends, reducing data to simpler forms, and emphasizing key numbers at a glance.
Published by Notendownload ND-Verlag GmbH, 2021
ISBN 13: 9790502880972
Seller: moluna, Greven, Germany
Condition: New. Hilfiger, John Jay, arr.|1. Freu dich sehr, o meine Seele |2. Wachet auf, ruft us dir Stimme |3. Vom Himmel hoch da kom ich her |4. Wie schoen leuchtet der Morgenstern.