Packt Publishing, 2017. — 236 p. — ASIN B071VFZFN3. Key Features Develop strategies to speed up your R code Tackle programming problems and explore both functional and object-oriented programming techniques Learn how to address the core problems of programming in R with the most popular R packages for common tasks Book Description R is a powerful tool for statistics, graphics,...
CreateSpace Independent Publishing, 2016. — 154 p. — ISBN: 1533685010. Learn R Programming Today With This Simple Step-By-Step, Ultimate Beginners Guide 2017! Updated & Improved: June 2017 Do you want to learn R Programming? Do you want a guide that is easy to follow, detailed and written to make the process as effortless as possible? If so, “R: Easy R Programming For...
2nd.ed. - Springer, 2021. - 476p. - ISBN: 3030641546 This advanced undergraduate/graduate textbook teaches students in finance and economics how to use R to analyse financial data and implement financial models. It demonstrates how to take publically available data and manipulate, implement models and generate outputs typical for particular analyses. A wide spectrum of timely...
Packt Publishing, 2017. — 413 p. — ISBN: 978-1787127524. The Internet has truly become humongous, especially with the rise of various forms of social media in the last decade, which give users a platform to express themselves and also communicate and collaborate with each other. This book will help the reader to understand the current social media landscape and to learn how...
2nd Edition. — Apress Media LLC, 2022. — 278 p. — ISBN-13: 978-1-4842-7201-5. Use R 4, RStudio, Tidyverse, and Shiny to interrogate and analyze your data, and then use the D3 JavaScript library to format and display that data in an elegant, informative, and interactive way. You will learn how to gather data effectively, and also how to understand the philosophy and...
O’Reilly Media, Inc., 2024. — 122 p. — ISBN 978-1-098-15124-9. Tidying up messy software is a must. And that means breaking up the code to make it more readable, and using guard clauses and helping functions to make it understandable. In this practical guide, author Kent Beck, creator of Extreme Programming and pioneer of software patterns, suggests when and where you might...
Guzzler Media LLC, 2019. — 118 p. — ISBN: 978-1696769648. R is a programming language and software environment for statistical analysis, graphics representation, and reporting. If you are trying to understand the R programming language as a beginner, this short book will give you enough understanding of almost all the concepts of the R language. The author will guide you through...
2nd ed. — Packt Publishing, 2017. — 588 p. — ISBN: 978-1787284395. Key Features Apply R to simplify predictive modelling with short and simple code Use machine learning to solve problems ranging from small to big data Build a training and testing dataset, applying different classification methods. Book Description The R language is a powerful open source functional programming...
Packt Publishing, 2014. — 285 p. — ISBN: 1783986689, 9781783986682
R is best suited to produce data and visual analytics through customizable scripts and commands, instead of typical statistical tools that provide tick boxes and drop-down menus for users. The book is divided into three parts to help you perform these steps. It starts by providing you with an overview of the...
Packt Publishing, 2016. — 244 p. — ISBN13: 9781784394004. Master the robust features of R parallel programming to accelerate your data science computations R is one of the most popular programming languages used in data science. Applying R to big data and complex analytic tasks requires the harnessing of scalable compute resources. Mastering Parallel Programming with R presents...
John Wiley & Sons, Inc., 2021. — 928 p. — ISBN: 978-1-119-63277-1 (EPUB). Introduces professionals and scientists to statistics and machine learning using the programming language R Written by and for practitioners, this book provides an overall introduction to R, focusing on tools and methods commonly used in data science, and placing emphasis on practice and business use. It...
John Wiley & Sons Inc., 2020. — 2080 p. — ISBN: 978-1-118-38798-6. Advanced Statistics with Applications in R fills the gap between several excellent theoretical statistics textbooks and many applied statistics books where teaching reduces to using existing packages. This book looks at what is under the hood. Many statistics issues including the recent crisis with p-value are...
John Wiley & Sons, Inc., 2014. — 308 p. — ISBN: 978-1-118-42254-0. Written at a readily accessible level, Basic Data Analysis for Time Series with R emphasizes the mathematical importance of collaborative analysis of data used to collect increments of time or space. Balancing a theoretical and practical approach to analyzing data within the context of serial correlation, the...
SAGE Publications Ltd, 2021. — 272 p. — ISBN 978-1-5264-5996-1. This book shows students how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and is packed with a range of supportive learning features such as code examples, overview boxes, images,...
3rd Еdition. — Chapman and Hall/CRC, 2025. — 388 р. — ISBN-13: 978-1-003-44997-3. A Hands-On Way to Learning Data Analysis Part of the core of statistics, linear models are used to make predictions and explain the relationship between the response and the predictors. Understanding linear models is crucial to a broader competence in the practice of statistics. Linear Models with...
No Starch Press, 2023. — 264 p. — ISBN-13: 978-1-7185-0309-0. Whether you’re a mathematician, seasoned data scientist, or marketing professional, you’ll find The Shape of Data to be the perfect introduction to the critical interplay between the geometry of data structures and Machine Learning. This book’s extensive collection of case studies (drawn from medicine, education,...
Packt Publishing, 2017. — 1065 p. — ISBN: 978-1-78829-037-1. Master the art of predictive modeling Predictive analytics is a field that uses data to build models that predict a future outcome of interest. It can be applied to a range of business strategies and has been a key player in search advertising and recommendation engines. The power and domain-specificity of R allows...
Packt Publishing, 2017. — 448 p. — ISBN: 978-1-78712-139-3. Master the craft of predictive modeling in R by developing strategy, intuition, and a solid foundation in essential concepts R offers a free and open source environment that is perfect for both learning and deploying predictive modeling solutions. With its constantly growing community and plethora of packages, R offers...
2nd. edition. — SAGE Publications, Ins., 2011. — 472 p. — ISBN13: 978-141297514-8. This is a broad introduction to the R statistical computing environment in the context of applied regression analysis. It is a thoroughly updated edition of John Fox′s bestselling text An R and S-Plus Companion to Applied Regression (SAGE, 2002). The Second Edition is intended as a companion to...
2nd.ed. — Packt, 2017. — 523 p. — ISBN: 978-1787124479. Key Features Analyse your data using the popular R packages with ready-to-use and customizable recipes Find meaningful insights from your data and generate dynamic reports A practical guide to help you put your data analysis skills in R to practical use Book Description This book will show you how you can put your data...
Packt Publishing, 2016. — 228 p. — ISBN13: 9781785280252. Learn how to leverage the power of R for Business Intelligence Explore the world of Business Intelligence through the eyes of an analyst working in a successful and growing company. Learn R through use cases supporting different functions within that company. This book provides data-driven and analytically focused...
Springer, 2020. — 107 p. — (Use R!) — ISBN: 978-3-030-56485-8 (eBook). This book offers an application-oriented guide to random forests: a statistical learning method extensively used in many fields of application, thanks to its excellent predictive performance, but also to its flexibility, which places few restrictions on the nature of the data used. Indeed, random forests can...
Palgrave Macmillan, 2015. — 206 p. — ISBN: 978-1-137-43747-1 (eBook). Quantitative Trading with R offers readers a winning strategy for devising expertly-crafted and workable trading models using the R open-source programming language. Based on the author's own experience as a professor and high-frequency trader, this book provides a step-by-step approach to understanding...
2nd Edition. — Springer, 2024. — 245 p. — ISBN-13: 978-981-97-4022-2. This book is structured to encompass both the foundational and specialized aspects of quantitative analysis in geography. The basic content covers descriptive statistical analysis and correlation analysis of geographical data, while the professional content delves into more advanced topics like linear...
O’Reilly Media, Inc., 2016. — 335 p. — ISBN 13: 978-1-491-92261-3. It's much easier to grasp complex data relationships with a graph than by scanning numbers in a spreadsheet. This introductory guide shows you how to use the R language to create a variety of useful graphs for visualizing and analyzing complex data for science, business, media, and many other fields. You'll...
Packt Publishing, 2015. — 348 p. — ISBN: 978-1-78398-254-7. RStudio helps you to manage small to large projects by giving you a multi-functional integrated development environment, combined with the power and flexibility of the R programming language, which is becoming the bridge language of data science for developers and analyst worldwide. Mastering the use of RStudio will...
Packt Publishing, 2017. — 284p. — ASIN B06XTHMMWH. Key Features Understand the basics of R and how they can be applied in various Quantitative Finance scenarios Learn various algorithmic trading techniques and ways to optimize them using the tools available in R. Contain different methods to manage risk and explore trading using Machine Learning. Book Description The role of a...
3rd Edition. — Manning Publications Co., 2022. — 656 p. — ISBN: 978-1617296055. 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,...
No Starch Press, 2024. — 306 р. — ISBN-13: 978-1-7185-0333-5. The R programming language is a remarkably powerful tool for data analysis and visualization, but its steep learning curve can be intimidating for some. If you just want to automate repetitive tasks or visualize your data, without the need for complex math, R for the Rest of Us is for you. Inside you’ll find a crash...
Independently published, 2021. — 727 p. — ASIN B09B3WCZRM. 2021-07-15 If there is one thing R is famous and known about, is its graphics capabilities. There are many packages out there for producing plots in R, top amongst which is the base graphics package which comes with R preinstalled. The goal of this book is to explore the nooks and crannies of chart production with base...
O’Reilly Media, Inc., 2022. — 381 p. — ISBN-13: 978-1-492-09648-1. Get going with tidymodels, a collection of R packages for modeling and machine learning. Whether you're just starting out or have years of experience with modeling, this practical introduction shows data analysts, business analysts, and data scientists how the tidymodels framework offers a consistent, flexible...
Addison-Wesley Professional, 2017.- 560p. - ISBN: 978-0134546926 2nd Edition Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too much knowledge to be of help. R for Everyone, Second Edition, is the solution....
Independently published, 2021. — 392 p. — ISBN B08W4GGM72. This courseware is intended to be read as a self-study guide or as a book for R programming training. R is an open-source programming language for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing...
2nd ed. — Packt Publishing, 2017. — 420 p. — ASIN B01N5XJ3O0. +Sample files Key Features Understand and apply machine learning methods using an extensive set of R packages such as XGBOOST Understand the benefits and potential pitfalls of using machine learning methods such as Multi-Class Classification and Unsupervised Learning Implement advanced concepts in machine learning...
Packt Publishing, 2014. — 190 p. — ISBN13: 978-1783554553. R has undergone an explosion of popularity around the world. The wide range of graphs and options for creating high-impact visualizations makes R a highly effective tool for researchers, data analysts, students, and others. This book starts with the basics of R and the principles of creating graphics, focusing on...
2nd Edition. — O’Reilly Media, 2019. — 600 p. — ISBN: 978-1-492-04068-2. Perform data analysis with R quickly and efficiently with more than 275 practical recipes in this expanded second edition. The R language provides everything you need to do statistical work, but its structure can be difficult to master. These task-oriented recipes make you productive with R immediately....
O’Reilly Media, Inc., 2020. — 283 p. — ISBN: 978-1-492-04637-0. If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn...
Packt Publishing, 2019. — 518 p. — ISBN: 978-1-78995-069-4. Over 60 recipes to model and handle real-life biological data using modern libraries from the R ecosystem Handling biological data effectively requires an in-depth knowledge of machine learning techniques and computational skills, along with an understanding of how to use tools such as edgeR and DESeq. With the R...
Apress, 2019. — 246 p. — ISBN: 978-1484248935, 1484248937. In this handy, practical book you will cover each concept concisely, with many illustrative examples. You'll be introduced to several R data science packages, with examples of how to use each of them. In this book, you’ll learn about the following APIs and packages that deal specifically with data science applications:...
2nd Edition. — Apress Media, LLC, 2022. — 527 p. — ISBN 978-1-4842-8155-0. Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. Updated for the R 4.0 release, this book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software...
Packt Publishing, 2017. — 992 p. — ASIN B072XN54R9. +Sample files Create data mining algorithms About This Book Develop a strong strategy to solve predictive modeling problems using the most popular data mining algorithms Real-world case studies will take you from novice to intermediate to apply data mining techniques Deploy cutting-edge sentiment analysis techniques to...
CRC Press / Chapman & Hall, 2024. — 298 p. — (Data Science Series). — ISBN: 978-1-032-63351-0. Spatial data is crucial to improve decision-making in a wide range of fields including environment, health, ecology, urban planning, economy, and society. Spatial Statistics for Data Science: Theory and Practice with R describes statistical methods, modeling approaches, and...
Independently published, 2024. — 138 р. — (Computer Programming). — ASIN: B0DF3VL19J. Unlock Your Data Science Potential with R Programming! Dive into “R Programming: Mastering Data Science and Statistical Computing” , the ultimate guide to one of the most powerful tools in the world of Data Science. Whether you're a complete beginner or an experienced professional looking to...
Packt Publishing, 2020. — 317 p. — ISBN: 978-1-78899-683-9. Explore and implement deep learning to solve various real-world problems using modern R libraries such as TensorFlow, MXNet, H2O, and Deepnet Deep learning enables efficient and accurate learning from a massive amount of data. This book will help you overcome a number of challenges using various deep learning...
Amazon Digital Service, 2017. — 562 p. — ASIN B071DTSCPS. +Code Files. This book introduces the reader to the use of R and RStudio as a platform for processing and analyzing financial data. The book covers all necessary knowledge for using R, from its installation in your computer to the organization and development of scripts. For every chapter, the book presents practical and...
GeoSpatial, 2018. — 246 p. — ASIN B07HM7LC41. Today, data science is an indispensable tool for any organization, allowing for the analysis and optimization of decisions and strategy. R has become the preferred software for data science, thanks to its open source nature, simplicity, applicability to data analysis, and the abundance of libraries for any type of algorithm. This book...
Valentina Porcu, 2017. — 279 p. This book is meant to be an introduction to advanced data manipulation in R. The first chapter will deal with R structures, vectors, matrixes, lists, and dataframes. We will explain how to design objects in R and how to use R main functions, such as rearranging a vector or adding columnsto a matrix. The second chapter will cover several topics. We...
Amazon Digital Services LLC, 2017. — 282 p. — ASIN B0737Z264F. When it comes to data analysis, data science and data mining, R is one of the most important and used programming languages. This book is meant as an introduction to R and is thought to be a quick reference guide for those who want to start programming in this language. The topics we will deal with are: - R structures,...
2nd Edition. — Springer, 2023. — 172 p. — ISBN 978-3-031-35044-3. This book explains the best practices of the UNCTAD & WTO for trade analysis to the R users community. It shows how to replicate the UNCTAD & WTO's Stata codes in the Practical Guide to Trade Policy Analysis by using R. Applications and exercises are chosen from the Practical Guide to Trade Policy Analysis and...
Packt Publishing, 2016. — 278 p. — ISBN: 978-1-78646-515-3. In this book, we cover not only classical data structures, but also functional data structures. We begin by answering the fundamental question: why data structures? We then move on to cover the relationship between data structures and algorithms, followed by an analysis and evaluation of algorithms. We introduce the...
Ginnoha Publishing, Miyazaki Yousuke, Fujisaki Ryousuke, Kashiwagi Kaito. — Independent publication, 2024. — 233 р. — ASIN: B0D9D9LLP1. This comprehensive guide offers 100 practical techniques for writing clean, readable, and maintainable R code. Learn how to leverage the power of the tidyverse ecosystem and master the art of data manipulation using the pipe operator %%....
John Wiley & Sons, Inc., 2021. — 356 p. — ISBN: 978-93-90421-47-3. With widespread and exponential growth of data, people with data science background are in great demand. Data analytics, a subdomain of data science, is meant to turn data into insight and actionable knowledge. Data analytics mainly deals with exploring, visualizing, transforming and modelling data for making...
Packt Publishing, 2016. — 582 p. — ISBN: 978-1-78588-977-6. + Sample files. Key Features Explore the R language from basic types and data structures to advanced topics Learn how to tackle programming problems and explore both functional and object-oriented programming techniques Learn how to address the core problems of programming in R and leverage the most popular packages...
Packt Publishing Limited, 2015. — 246 p. — ISBN: 978-1785280900. Present interactive data visualizations in R within the Shiny frameworkConstruct web dashboards in a simple, intuitive, but fully flexible environmentApply your skills to create a real-world web application with this step-by-step guide Who This Book Is For If you are a data scientist who needs a platform to show...
CRC Press, 2020. — 365 p. — ISBN: 978-1-003-00669-5 (ebk). Just Enough R! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning algorithms, statistical methodology, and analytics for the reader to learn how to find interesting structure in data. The approach might be called “seeing then doing” as it first gives...
John Wiley & Sons, Inc., 2017. — 466 p. Understanding the world of R programming and analysis has never been easier Most guides to R, whether books or online, focus on R functions and procedures. But now, thanks to Statistical Analysis with R For Dummies, you have access to a trusted, easy-to-follow guide that focuses on the foundational statistical concepts that R addresses—as...
SAGE, 2015. — 408 p. — ISBN: 978-1483377964. Using R with Multivariate Statistics by Randall E. Schumacker is a quick guide to using R, free-access software available for Windows and Mac operating systems that allows users to customize statistical analysis. Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and...
Chapman and Hall, 2017. — 206 p. — ISBN: 978-1498797320. "This would be an excellent book for undergraduate, graduate and beyond...The style of writing is easy to read and the author does a good job of adding humor in places. The integration of basic programming in R with the data that is collected for any experiment provides a powerful platform for analysis of data... having...
CRC Press, 2020. — 448 p. — ISBN: 13: 978-1-138-33145-7. The richly illustrated Interactive Web-Based Data Visualization with R, plotly, and shiny focuses on the process of programming interactive web graphics for multidimensional data analysis. It is written for the data analyst who wants to leverage the capabilities of interactive web graphics without having to learn web...
O’Reilly Media, 2017. — 194 p. — ISBN: 978-1491981658. Much of the data available today is unstructured and text-heavy, making it challenging for analysts to apply their usual data wrangling and visualization tools. With this practical book, you’ll explore text-mining techniques with tidytext, a package that authors Julia Silge and David Robinson developed using the tidy...
Packt Publishing, 2017. — 178 p. — ISBN: 978-1-78646-011-0. Leverage the power of advanced analytics and predictive modeling in Tableau using the statistical powers of R Tableau and R offer accessible analytics by allowing a combination of easy-to-use data visualization along with industry-standard, robust statistical computation. Moving from data visualization into deeper,...
Manning Publications, 2024. — 672 p. — ISBN-13: 978-1633438682. Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. In Statistics Slam Dunk you’ll develop a toolbox of R data skills including: Reading...
Packt Publishing, 2016. — 398 p. — ISBN: 978-1-78588-116-9. Harness actionable insights from your data with computational statistics and simulations using R Data Science with R aims to teach you how to begin performing data science tasks by taking advantage of Rs powerful ecosystem of packages. R being the most widely used programming language when used with data science can be...
Apress, 2021. — 416 p. — ISBN 9781484268308. Master the syntax for working with R’s plotting functions in graphics and stats in this easy reference to formatting plots. The approach in Visualizing Data in R 4 toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in graphics and stats. This book will take...
Apress Media LLC, 2022. — 602 p. — ISBN-13 (electronic): 978-1-4842-7924-3. This handy reference book detailing the intricacies of R covers version 4.x features, including numerous and significant changes to syntax, strings, reference counting, grid units, and more. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the...
Apress, 2019. — 365 p. — ISBN13: (electronic): 978-1-4842-4405-0. This handy reference book detailing the intricacies of R updates the popular first edition by adding R version 3.4 and 3.5 features. Starting with the basic structure of R, the book takes you on a journey through the terminology used in R and the syntax required to make R work. You will find looking up the...
Amazon.com Services LLC, 2021. — 65 p. This Research description has been designed specifically for all categories of researchers which impressively explores the basic data analysis and graphics using R. This edition will satisfy the intensifying need for all social science research and researchers. It acts as an aid to the researcher to know When, Where, How to use the...
Apress, 2020. — 332 p. — ISBN13: (electronic): 978-1-4842-5946-7. Get started with an accelerated introduction to the R ecosystem, programming language, and tools including R script and RStudio. Utilizing many examples and projects, this book teaches you how to get data into R and how to work with that data using R. Once grounded in the fundamentals, the rest of Practical R 4...
O’Reilly, 2017. — 586. — ISBN: 9781491910399
What exactly is data science? With this book, you’ll gain a clear understanding of this discipline for discovering natural laws in the structure of data. Along the way, you’ll learn how to use the versatile R programming language for data analysis.
Whenever you measure the same thing twice, you get two results—as long as you measure...
2nd Edition. — O’Reilly Media, Inc., 2023. — 381 р. — ISBN-13: 978-1-098-13494-5. Turn your R code into packages that others can easily install and use. With this fully updated edition, developers and data scientists will learn how to bundle reusable R functions, sample data, and documentation together by applying the package development philosophy used by the team that...
2nd Edition. — O’Reilly Media, Inc., 2023. — 600 p. — ISBN-13: 978-1-492-09740-2. Learn how to use R to turn data into insight, knowledge, and understanding. Ideal for current and aspiring data scientists, this book introduces you to doing data science with R and RStudio, as well as the tidyverse—a collection of R packages designed to work together to make data science fast,...
O’Reilly Media, Inc., 2021. — 378 p. — ISBN 978-1-492-04738-4. Master the Shiny web framework—and take your R skills to a whole new level. By letting you move beyond static reports, Shiny helps you create fully interactive web apps for data analyses. Users will be able to jump between datasets, explore different subsets or facets of the data, run models with parameter values of...
2nd Edition. — Apress, 2020. — 439 p. — ISBN13: (electronic): 978-1-4842-5973-3. Program for data analysis using R and learn practical skills to make your work more efficient. This revised book explores how to automate running code and the creation of reports to share your results, as well as writing functions and packages. It includes key R 4 features such as a new color...
Apress Media, LLC., 2020. — 481 p. — e-ISBN 978-1-4842-6053-1. Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data...
2nd Edition. — CRC Press, Taylor & Francis Group, 2016. — 634 p. — ISBN: 1498734227. Virtually any random process developing chronologically can be viewed as a time series. In economics closing prices of stocks, the cost of money, the jobless rate, and retail sales are just a few examples of many. Developed from course notes and extensively classroom-tested, Applied Time Series...
CRC Press, 2021. — 390 p. — ISBN: 9780367563837 R Markdown is a powerful tool for combining analysis and reporting into the single document in the spirit of literate programming and reproducible research. Since the birth of the rmarkdown package in early 2014, R Markdown has grown substantially from a package that supports a few output formats (such as HTML, PDF, and Word) to...
Independently published, 2018. — 76 p. — ASIN B07L6RX5WL. Want to write R code better, faster, and simpler? Are you spending too much time manipulating data just to get ready for analysis? Do you have time to plow through wordy texts? This short book will help with all those problems. It lays out simple R code using the powerful data manipulation package DPLYR. The author...
Packt Publishing, 2016. — 452 p. — ISBN: 978-1-78439-081-5. Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques This cookbook offers a range of data analysis samples in simple and straightforward R code, providing step-by-step resources and time-saving methods to help you solve data problems efficiently The...
CRC Press, 2016. — 434 p. — ISBN: 9781498736879. Unlike other books about R, written from the perspective of statistics, R for Programmers: Mastering the Tools is written from the perspective of programmers, providing a channel for programmers with expertise in other programming languages to quickly understand R. The contents are divided into four sections: The first section...
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