Pearson ronald k (38 Ergebnisse)

Paperback. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Soft cover. Zustand: Very Good. 1st Edition. Very good copy in softcover. Grey spine with white title.

Zustand: New.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

UNK. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: New. pp. 562.

paperback. Zustand: Gut. 305 Seiten; 9780898715828.3 Gewicht in Gramm: 1.

Book/CD-ROM. Zustand: Brand New. 547 pages. 9.00x6.00x1.00 inches. In Stock.

Zustand: New. 2026. 2nd Edition. paperback. . . . . . Books ship from the US and Ireland.

Zustand: NEW.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. pp. 296.

Paperback / Softback. Zustand: Brand New. 2nd revised edition edition. 481 pages. 10.08x7.01x1.26 inches. In Stock.

Zustand: New.

Paperback. Zustand: Brand New. 2nd edition. 592 pages. 9.18x6.12x10.00 inches. In Stock.

Zustand: New. Ronald K. Pearson holds a PhD in Electrical Engineering and Computer Science from the Massachussetts Institute of Technology and has more than 40 years professional experience in exploratory data analysis. Dr. Pearson has held industrial, business.

Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Zustand: New. Klappentextrnrn A CRC title, part of the Taylor & Francis imprint, a member of the Taylor & Francis Group, the academic division of T&F Informa plc.

Taschenbuch. Zustand: Neu. Neuware - Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA), and this revised edition is accompanied by the R package ExploreTheData that implements many of the approaches described. As before, the primary focus of the book is on identifying 'interesting' features - good, bad, and ugly - in a dataset, why it is important to find them, how to treat them, and more generally, the use of R to explore and explain datasets and the analysis results derived from them.The book begins with a brief overview of exploratory data analysis using R, followed by a detailed discussion of creating various graphical data summaries in R. Then comes a thorough introduction to exploratory data analysis, and a detailed treatment of 13 data anomalies, why they are important, how to find them, and some options for addressing them. Subsequent chapters introduce the mechanics of working with external data, structured query language (SQL) for interacting with relational databases, linear regression analysis (the simplest and historically most important class of predictive models), and crafting data stories to explain our results to others. These chapters use R as an interactive data analysis platform, while Chapter 9 turns to writing programs in R, focusing on creating custom functions that can greatly simplify repetitive analysis tasks. Further chapters expand the scope to more advanced topics and techniques: special considerations for working with text data, a second look at exploratory data analysis, and more general predictive models. 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.…

Zustand: New.

Zustand: New.

Zustand: New. Focuses on the identification and treatment of data anomalies, including examples that highlight different types of anomalies, their potential consequences if left undetected and untreated, and options for dealing with them.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Zustand: Neu. Exploratory Data Analysis Using R | Ronald K. Pearson | Taschenbuch | Chapman & Hall/CRC Data Mining and Knowledge Discovery Series | Einband - flex.(Paperback) | Englisch | 2026 | Taylor & Francis Ltd | EAN 9781032814803 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu. …

Zustand: New. In English.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Zustand: Neu. Neuware.

Zustand: New. Ronald K. Pearson holds a PhD in Electrical Engineering and Computer Science from the Massachussetts Institute of Technology and has more than 40 years professional experience in exploratory data analysis. Dr. Pearson has held industrial, business.

Hardcover. Zustand: Brand New. 328 pages. 9.37x6.50x0.91 inches. In Stock.