Action Data Analysis Graphics by Kabacoff Robert (31 results)

Paperback. Condition: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Paperback. Condition: Very Good. HIGHLIGHT A practical guide to the use of R for statistical analysis and graphing. DESCRIPTION The ability to interpret and act on the massive amounts of information locked in web and enterprise systems is critical to success in the modern business economy. R, a free software environment for statistical computing and graphics, is a comprehensive package that empowers developers and analysts to capture, process, and respond intelligently to statistical information. R in Action is the first book to present both the R system and the use cases that make it such a compelling package for business developers. The book begins by introducing the R language, and then moves on to various examples illustrating R's features. Coverage includes data mining methodologies, approaches to messy data, Rs extensive graphical environment, useful add-on modules, and how to interface R with other software platforms and data management systems. KEY POINTS F In-depth coverage of the R environment F Dozens of practical examples F Author Rob Kabacoff has years of hands-on experience. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Condition: acceptable. Ausreichend/Acceptable: Exemplar mit vollständigem Text und sämtlichen Abbildungen oder Karten. Schmutztitel oder Vorsatz können fehlen. Einband bzw. Schutzumschlag weisen unter Umständen starke Gebrauchsspuren auf. / Describes a book or dust jacket that has the complete text pages (including those with maps or plates) but may lack endpapers, half-title, etc. (which must be noted). Binding, dust jacket (if any), etc may also be worn.

Condition: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.

Condition: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

Paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Paperback. Condition: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!

Condition: Fair. This is an ex-library book and may have the usual library/used-book markings inside.This book has soft covers. In fair condition, suitable as a study copy. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1150grams, ISBN:9781617291388.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

paperback. 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!

Condition: Very Good. Very Good condition. 3rd edition. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

Condition: Excellent This book is a comprehensive, practical guide designed to teach you how to use the R language and its modern ecosystem for statistical analysis and data visualization. The book's focus is on providing practical solutions to real-world data challenges for a range of users, including scientific, technical, and business developers. The third edition is updated to include fresh coverage of the modern tidyverse approach to data analysis, including packages like ggplot2 for state-of-the-art graphics. Key Topics Covered The book guides readers through the entire data analysis pipeline, from getting started with the R environment to advanced statistical modeling and report generation. Major topics include: R and RStudio Fundamentals: Installation, basics of the language, and programming concepts. Data Management: Techniques for cleaning, transforming, and managing messy or incomplete datasets. Data Visualization: Mastering the creation of stunning and informative graphics using the ggplot2 package. Statistical Methods: A comprehensive crash course covering both basic and intermediate methods like descriptive statistics, regression, and analysis of variance (ANOVA). Advanced Modeling: Topics such as generalized linear models, principal components and factor analysis, time series forecasting, cluster analysis, and classification (machine learning) techniques. Expanding Skills: Creating dynamic reports and building custom R packages. This edition serves as a definitive resource to help users, even those with no prior R experience, master the language to effectively explore, analyze, model, and present data.

Condition: New.

Paperback or Softback. Condition: New. R in Action, Third Edition: Data Analysis and Graphics with R and Tidyverse. Book.

Paperback. Condition: New. Special order direct from the distributor.

Paperback. Condition: New.

Condition: New. In.

Paperback. Condition: Brand New. 3rd edition. 625 pages. 9.25x7.37x1.56 inches. In Stock.

Paperback. Condition: Brand New. 1st edition. 375 pages. 9.10x7.30x1.10 inches. In Stock.

Paperback. Condition: Brand New. 2nd edition. 579 pages. 9.25x7.75x1.50 inches. In Stock.

Condition: As New. Unread book in perfect condition.

Taschenbuch. Condition: Neu. Neuware - RETAIL SELLING POINTS Step-by-step guide to practical data analysis Gives quick access to the R language Written by seasoned researcher Uses over 130 graphics AUDIENCE This book is for social scientists, medical and pharmaceutical researchers, professors and students in quantitative fields, data analysts, data mining specialists, and statistical programmers who have a sense of what they want to do, but not how to do it in R.

Taschenbuch. Condition: Neu. Neuware - R is the most powerful tool you can use for statistical analysis. This definitive guide smooths R's steep learning curve with practical solutions and real-world applications for commercial environments.In R in Action, Third Edition you will learn how to: Set up and install R and RStudio Clean, manage, and analyze data with R Use the ggplot2 package for graphs and visualizations Solve data management problems using R functions Fit and interpret regression models Test hypotheses and estimate confidence Simplify complex multivariate data with principal components and exploratory factor analysis Make predictions using time series forecasting Create dynamic reports and stunning visualizations Techniques for debugging programs and creating packages R in Action, Third Edition makes learning R quick and easy. That's why thousands of data scientists have chosen this guide to help them master the powerful language. Far from being a dry academic tome, every example you'll encounter in this book is relevant to scientific and business developers, and helps you solve common data challenges. R expert Rob Kabacoff takes you on a crash course in statistics, from dealing with messy and incomplete data to creating stunning visualizations. This revised and expanded third edition contains fresh coverage of the new tidyverse approach to data analysis and R's state-of-the-art graphing capabilities with the ggplot2 package. Purchase of the print book includes a free Elektronisches Buch in PDF, Kindle, and ePub formats from Manning Publications. About the technology Used daily by data scientists, researchers, and quants of all types, R is the gold standard for statistical data analysis. This free and open source language includes packages for everything from advanced data visualization to deep learning. Instantly comfortable for mathematically minded users, R easily handles practical problems without forcing you to think like a software engineer. About the book R in Action, Third Edition teaches you how to do statistical analysis and data visualization using R and its popular tidyverse packages. In it, you'll investigate real-world data challenges, including forecasting, data mining, and dynamic report writing. This revised third edition adds new coverage for graphing with ggplot2, along with examples for machine learning topics like clustering, classification, and time series analysis. What's inside Clean, manage, and analyze data Use the ggplot2 package for graphs and visualizations Techniques for debugging programs and creating packages A complete learning resource for R and tidyverse About the reader Requires basic math and statistics. No prior experience with R needed. About the author Dr. Robert I Kabacoff is a professor of quantitative analytics at Wesleyan University and a seasoned data scientist with more than 20 years of experience. Table of Contents PART 1 GETTING STARTED 1 Introduction to R 2 Creating a dataset 3 Basic data management 4 Getting started with graphs 5 Advanced data management PART 2 BASIC METHODS 6 Basic graphs 7 Basic statistics PART 3 INTERMEDIATE METHODS 8 Regression 9 Analysis of variance 10 Power analysis 11 Intermediate graphs 12 Resampling statistics and bootstrapping PART 4 ADVANCED METHODS 13 Generalized linear models 14 Principal components and factor analysis 15 Time series 16 Cluster analysis 17 Classification 18 Advanced methods for missing data PART 5 EXPANDING YOUR SKILLS 19 Advanced graphs 20 Advanced programming 21 Creating dynamic reports 22 Creating a package.

Softcover. Condition: sehr gut. Softcover. gr. 8°. xxiv, 447 pages. with figures. good condition in englischer Sprache (in english).