R For Data Analysis In Easy Steps Second Edition
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R For Data Analysis In Easy Steps 2nd Edition
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Author : Mike McGrath
language : en
Publisher: In Easy Steps Limited
Release Date : 2023-06-05
R For Data Analysis In Easy Steps 2nd Edition written by Mike McGrath and has been published by In Easy Steps Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-05 with Computers categories.
The R language is widely used by statisticians for data analysis, and the popularity of R programming has therefore increased substantially in recent years. The emerging Internet of Things (IoT) gathers increasing amounts of data that can be analyzed to gain useful insights into trends. R for Data Analysis in easy steps, 2nd edition has an easy-to-follow style that will appeal to anyone who wants to produce graphic visualizations to gain insights from gathered data. The book begins by explaining core programming principles of the R programming language, which stores data in “vectors” from which simple graphs can be plotted. Next, it describes how to create “matrices” to store and manipulate data from which graphs can be plotted to provide better insights. This book then demonstrates how to create “data frames” from imported data sets, and how to employ the “Grammar of Graphics” to produce advanced visualizations that can best illustrate useful insights from your data. R for Data Analysis in easy steps, 2nd edition contains separate chapters on the major features of the R programming language. There are complete example programs that demonstrate how to create Line graphs, Bar charts, Histograms, Scatter graphs, Box plots, and more. The code for each R script is listed, together with screenshots that illustrate the actual output when that script has been executed. The free, downloadable example R code is provided for clearer understanding. By the end of this book you will have gained a sound understanding of R programming, and be able to write your own scripts that can be executed to produce graphic visualizations for data analysis. You need have no previous knowledge of any programming language, so it's ideal for the newcomer to computer programming. Updated for the latest version of R. Contents: Getting started Storing values Performing operations Testing conditions Employing functions Building matrices Constructing data frames Producing quick plots Telling stories with data Plotting perfection
Photoshop Cc In Easy Steps 2nd Edition
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Author : Robert Shufflebotham
language : en
Publisher: In Easy Steps
Release Date : 2018
Photoshop Cc In Easy Steps 2nd Edition written by Robert Shufflebotham and has been published by In Easy Steps this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Photoshop CC in easy steps, 2nd edition helps the reader to master the essentials of Photoshop Creative Cloud 2018 edition, and then enjoy the full creative potential of this popular photo editing software. This book breaks down complex functions into easy-to-follow learning sequences. The continual expansion, refinement and development of Photoshop can make learning the software a daunting experience for the first time user. But there is no need to feel intimidated. The answer is simple, take it in easy steps. That's exactly what Photoshop CC in easy steps is designed to do. In clear, concise, simple language this book breaks down the complex and complicated into small easily digestible learning chunks. Photoshop CC in easy steps delivers a solid, secure and lasting foundation that you can build on as you explore Photoshop and develop more and more control over one the most creative pieces of software available today. The author’s extensive knowledge and understanding of the requirements and needs of the new user is distilled in this book which is written in simple, clear language with step-by-step instructions. Updated for Adobe Photoshop CC 2018
Python In Easy Steps 2nd Edition
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Author : Mike McGrath
language : en
Publisher: In Easy Steps
Release Date : 2018-07-17
Python In Easy Steps 2nd Edition written by Mike McGrath and has been published by In Easy Steps this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-17 with Computers categories.
Python in easy steps, 2nd edition instructs you how to program in the powerful Python language, giving complete examples that illustrate each aspect with colorized source code. Python in easy steps, 2nd edition begins by explaining how to install the free Python interpreter so you can quickly begin to create your own executable programs by copying the book's examples. It demonstrates all the Python language basics before moving on to provide examples of Object Oriented Programming (OOP) and CGI scripting to handle web form data. The book concludes by demonstrating how you can use your acquired knowledge to create and deploy graphical windowed applications. Python in easy steps, 2nd edition makes no assumption you have previous knowledge of any programming language so it's ideal for the newcomer to computer programming. It has an easy-to-follow style that will appeal to programmers moving from another programming language, and to the student who is studying Python programming at school or college, and to those seeking a career in computing who need a fundamental understanding of computer programming. The Python 3.x language is under active development so frequent new releases are made available as small improvements are added to the language and Python in easy steps, 2nd edition features the very latest versions of Python at the time of publication. Python development is one of evolution, rather than revolution, so the examples provided in the book can be used in subsequent releases – simply download the latest version of Python then follow the easy steps. Python is the language used to program the Raspberry Pi - covered by Raspberry Pi in easy steps and Raspberry Pi 3 in easy steps. This second edition is updated to cover Python 3.10.
Wordpress In Easy Steps 2nd Edition
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Author : Darryl Bartlett
language : en
Publisher: In Easy Steps Limited
Release Date : 2019-08-12
Wordpress In Easy Steps 2nd Edition written by Darryl Bartlett and has been published by In Easy Steps Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-12 with Computers categories.
WordPress is the most popular CMS (Content Management System) and is a fantastic tool for blogs and building websites. It is used by over 50% of the 100 top world blogs, and there are estimated to be over 75 million WordPress websites. Many bloggers/web developers are turning to WordPress to create great websites. It has the ability for people of a non-technical background to create their own website/blog in easy steps, all the way up to advanced web developers to create stunning professional designs. WordPress in easy steps, 2nd edition shows how to create stunning websites using WordPress, without having to learn programming. For anyone who may not be technically-minded but wants an affordable website for business or for blogging. WordPress in easy steps guides you through: • Setting Up WordPress • Working with the Dashboard • Creating Site Content • Adding Media • Appearance and Themes • Adding Plugins • Comments • Setting up Users and Privileges • Tools and Settings • WordPress Tricks WordPress in easy steps, 2nd edition is for: • Bloggers/Hobbyist web designers, or those looking to design a website who don’t want to learn technical language, or bloggers looking for a great platform to work with. • Web Developers: A lot of professional web design companies are using WordPress to build their websites for clients because it provides a great content management system so that the end user can add their own content once development is complete. • Anybody who has had a WordPress website built for them and wants guidance to help them update their own website. Covers WordPress 5.
R For Data Analysis In Easy Steps Second Edition
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Author : Mike Mcgrath
language : en
Publisher:
Release Date : 2023
R For Data Analysis In Easy Steps Second Edition written by Mike Mcgrath and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Computer software categories.
R for Data Analysis in easy steps, 2nd edition has an easy-to-follow style that will appeal to anyone who wants to produce graphic visualizations to gain insights from gathered data. --
Understanding Quantitative Data In Educational Research
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Author : Nicoleta Gaciu
language : en
Publisher: SAGE
Release Date : 2020-11-11
Understanding Quantitative Data In Educational Research written by Nicoleta Gaciu and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-11 with Education categories.
This book is designed to help you gain confidence in analysing and interpreting quantitative data and using appropriate statistical tests, by exploring, in plain language, a variety of data analysis methods. Highly practical, each chapter includes step-by-step instructions on how to run specific statistical tests using R, practical tips on how to interpret results correctly and exercises to put into practice what you have learned. It also includes guidance on how to use R and RStudio, how to visualise quantitative data, and the fundamentals of inferential statistics, estimations and hypothesis testing.
R For Data Analysis In Easy Steps
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Author : Mike McGrath
language : en
Publisher: In Easy Steps
Release Date : 2023-06-30
R For Data Analysis In Easy Steps written by Mike McGrath and has been published by In Easy Steps this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-30 with categories.
R for Data Analysis in easy steps, 2nd edition is written using a proven easy-to-follow style for maximum appeal. It will be useful to anyone who wants to begin programming in R, with minimum fuss. Updated for the latest version of R.
Data Analysis With R Second Edition
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Author : Anthony Fischetti
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-03-28
Data Analysis With R Second Edition written by Anthony Fischetti and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-28 with Computers categories.
Learn, by example, the fundamentals of data analysis as well as several intermediate to advanced methods and techniques ranging from classification and regression to Bayesian methods and MCMC, which can be put to immediate use. Key Features Analyze your data using R – the most powerful statistical programming language Learn how to implement applied statistics using practical use-cases Use popular R packages to work with unstructured and structured data Book Description 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. The power and domain-specificity of R allows the user to express complex analytics easily, quickly, and succinctly. Starting with the basics of R and statistical reasoning, this book dives into advanced predictive analytics, showing how to apply those techniques to real-world data though with real-world examples. Packed with engaging problems and exercises, this book begins with a review of R and its syntax with packages like Rcpp, ggplot2, and dplyr. From there, get to grips with the fundamentals of applied statistics and build on this knowledge to perform sophisticated and powerful analytics. Solve the difficulties relating to performing data analysis in practice and find solutions to working with messy data, large data, communicating results, and facilitating reproducibility. This book is engineered to be an invaluable resource through many stages of anyone’s career as a data analyst. What you will learn Gain a thorough understanding of statistical reasoning and sampling theory Employ hypothesis testing to draw inferences from your data Learn Bayesian methods for estimating parameters Train regression, classification, and time series models Handle missing data gracefully using multiple imputation Identify and manage problematic data points Learn how to scale your analyses to larger data with Rcpp, data.table, dplyr, and parallelization Put best practices into effect to make your job easier and facilitate reproducibility Who this book is for Budding data scientists and data analysts who are new to the concept of data analysis, or who want to build efficient analytical models in R will find this book to be useful. No prior exposure to data analysis is needed, although a fundamental understanding of the R programming language is required to get the best out of this book.
Using R For Introductory Statistics
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Author : John Verzani
language : en
Publisher: CRC Press
Release Date : 2018-10-03
Using R For Introductory Statistics written by John Verzani and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-03 with Computers categories.
The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version. See What’s New in the Second Edition: Increased emphasis on more idiomatic R provides a grounding in the functionality of base R. Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible. Use of knitr package makes code easier to read and therefore easier to reason about. Additional information on computer-intensive approaches motivates the traditional approach. Updated examples and data make the information current and topical. The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.
Statistics And Data Analysis For Microarrays Using R And Bioconductor Second Edition
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Author : Sorin Drăghici
language : en
Publisher: CRC Press
Release Date : 2011-12-06
Statistics And Data Analysis For Microarrays Using R And Bioconductor Second Edition written by Sorin Drăghici and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-12-06 with Science categories.
Richly illustrated in color, Statistics and Data Analysis for Microarrays Using R and Bioconductor, Second Edition provides a clear and rigorous description of powerful analysis techniques and algorithms for mining and interpreting biological information. Omitting tedious details, heavy formalisms, and cryptic notations, the text takes a hands-on, example-based approach that teaches students the basics of R and microarray technology as well as how to choose and apply the proper data analysis tool to specific problems. New to the Second Edition Completely updated and double the size of its predecessor, this timely second edition replaces the commercial software with the open source R and Bioconductor environments. Fourteen new chapters cover such topics as the basic mechanisms of the cell, reliability and reproducibility issues in DNA microarrays, basic statistics and linear models in R, experiment design, multiple comparisons, quality control, data pre-processing and normalization, Gene Ontology analysis, pathway analysis, and machine learning techniques. Methods are illustrated with toy examples and real data and the R code for all routines is available on an accompanying CD-ROM. With all the necessary prerequisites included, this best-selling book guides students from very basic notions to advanced analysis techniques in R and Bioconductor. The first half of the text presents an overview of microarrays and the statistical elements that form the building blocks of any data analysis. The second half introduces the techniques most commonly used in the analysis of microarray data.