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Accordingly, this textbook is not meant to cover the whole range of this high-performance technical programming environment, but to motivate first- and... Læs mere
The author clearly explains all the theory students will need to avoid mistakes, understand what regressions are really doing, and evaluate analyses performed by... Læs mere
This new edition features practice exercises in every chapter, and new chapters on topics such as dynamic programming and heaps and tries. Get the hands-on info you need to master data structures and algorithms for your day-to-day work.
This book is designed for the first time or occasional SAS user who needs immediate guidance in navigating, exploring, visualizing, cleaning and reporting on... Læs mere
Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS(R) Performing Data Analysis Using IBM SPSS(R) uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets.
The rmarkdown package has steadily evolved into a relatively complete ecosystem for authoring documents. This book provides a definitive guide to this ecosystem.
Suitable for data analysts, this book demonstrates how to design and implement efficient workflows for both one-person projects and team projects. It describes... Læs mere
Presents general programming principles using Maple as an example of a programming language. This book addresses the basic Maple functions accessible for interactive use then moves... Læs mere
Ideal for those already familiar with basic Excel features, this updated Third Edition shows readers how to utilize Microsoft® Excel's functions and Analysis ToolPak to answer simple and complex questions about data.
An introductory text designed to show readers how to try using syntax themselves and to then support them through its use. It is ideal for those who are experienced in using SPSS, but who are novices regarding syntax.