Data Analysis Using R And The R Commander

Data Analysis Using SQL and Excel  

Posted by AlenMiler at Dec. 16, 2015
Data Analysis Using SQL and Excel

Data Analysis Using SQL and Excel by Gordon S. Linoff
English | 5 Nov. 2015 | ISBN: 111902143X | 936 Pages | AZW3/EPUB/PDF (conv) | 33.15 MB

Data Analysis Using SQL and Excel, 2nd Edition shows you how to leverage the two most popular tools for data query and analysis SQL and Excel to perform sophisticated data analysis without the need for complex and expensive data mining tools.
Gordon S. Linoff, "Data Analysis Using SQL and Excel" (Repost)

Gordon S. Linoff, "Data Analysis Using SQL and Excel"
ISBN: 0470099518 | edition 2007 | PDF | 690 pages | 18,8 mb

Three key efforts are essential to effectively transform data into actionable information: retrieving data with SQL, presenting data with Excel, and understanding statistics as the foundation of data analysis. Data mining expert Gordon Linoff focuses on these topics and shows you how SQL and Excel can be used to extract business information from relational databases. He begins by taking a look at how data is central to the task of understanding customers, products, and markets, and he then goes on to show you how to use that data to define business dimensions, store transactions about customers, and summarize important data to produce results.

Pro Data Visualization using R and JavaScript [Repost]  

Posted by ChrisRedfield at Aug. 13, 2014
Pro Data Visualization using R and JavaScript [Repost]

Tom Barker - Pro Data Visualization using R and JavaScript
Published: 2013-06-19 | ISBN: 1430258063 | PDF + EPUB + MOBI | 216 pages | 21 MB

Pro Data Visualization using R and JavaScript [Repost]  

Posted by ChrisRedfield at Sept. 6, 2013
Pro Data Visualization using R and JavaScript [Repost]

Tom Barker - Pro Data Visualization using R and JavaScript
Published: 2013-06-19 | ISBN: 1430258063 | PDF + EPUB + MOBI | 216 pages | 21 MB

Data Analysis with R  

Posted by AlenMiler at Dec. 30, 2015
Data Analysis with R

Data Analysis with R by Tony Fischetti
English | Jan. 6, 2016 | ISBN: 1785288148 | 446 Pages | AZW3/EPUB/PDF (conv) | 21.21 MB

Frequently the tool of choice for academics, R has spread deep into the private sector and can be found in the production pipelines at some of the most advanced and successful enterprises.
Using R and RStudio for Data Management, Statistical Analysis and Graphics, Second Edition

Using R and RStudio for Data Management, Statistical Analysis and Graphics, Second Edition by Nicholas J. Horton, Ken Kleinman
2015 | ISBN: 1482237369 | English | 313 pages | PDF | 4 MB
Correlated Data Analysis: Modeling, Analytics, and Applications

Correlated Data Analysis: Modeling, Analytics, and Applications (Springer Series in Statistics) by Peter X. K. Song
English | July 27, 2007 | ISBN: 0387713921 | 352 Pages | PDF | 4 MB

This book covers recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to cover a broader range of data types than the traditional generalized linear models.
SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM Spss, 5 edition

SPSS Survival Manual: A Step by Step Guide to Data Analysis Using IBM Spss, 5 edition by Julie Pallant
English | 2013 | ISBN: 0335262589 | 354 pages | EPUB | 4 MB

"This is the 'must have' book for anyone who wants to use SPSS." Julia Robertson, University of Buckinghamshire, UK "An excellent introduction to using SPSS for data analysis …It provides a self-contained resource, with more than simply (detailed and clear) step by step descriptions of statistical procedures in SPSS."
Correlated Data Analysis: Modeling, Analytics, and Applications by Peter X. -K. Song [Repost]

Correlated Data Analysis: Modeling, Analytics, and Applications (Springer Series in Statistics) by Peter X. -K. Song
Springer; 2007 edition | July 27, 2007 | English | ISBN: 0387713921 | 353 pages | PDF | 3 MB

This book covers recent developments in correlated data analysis. It utilizes the class of dispersion models as marginal components in the formulation of joint models for correlated data. This enables the book to cover a broader range of data types than the traditional generalized linear models. The reader is provided with a systematic treatment for the topic of estimating functions, and both generalized estimating equations (GEE) and quadratic inference functions (QIF) are studied as special cases. In addition to the discussions on marginal models and mixed-effects models, this book covers new topics on joint regression analysis based on Gaussian copulas.

Reinhold Decker, Advances in Data Analysis (Repost)  

Posted by Direktor69 at Aug. 26, 2013
Reinhold Decker, Advances in Data Analysis (Repost)

Reinhold Decker, Advances in Data Analysis
ISBN: 3540709800 | edition 2007 | PDF | 689 pages | 11 mb

The book focuses on exploratory data analysis, learning of latent structures in datasets, and unscrambling of knowledge. It covers a broad range of methods from multivariate statistics, clustering and classification, visualization and scaling as well as from data and time series analysis. It provides new approaches for information retrieval and data mining. Furthermore, the book reports challenging applications in marketing and management science, banking and finance, bio- and health sciences, linguistics and text analysis, statistical musicology and sound classification, as well as archaeology.