ISBN
9781787128156
Create and publish your own interactive and compelling data visualizations with D3.js 4.x :
This book is for web developers, interactive news developers, data scientists, and anyone interested in representing data through interactive visualizations on the Web with D3. Some basic knowledge of JavaScript is expected, but no prior experience with data visualization or D3 is required to follow this book.
Author/Authors: Rininsland, Ændrew | Teller, Swizec
Pages: 308 | Published Date: 42853
Category: Data
ISBN
9781785280641
Create attractive web-based data visualizations using the amazing JavaScript library D3.js :
Create attractive web-based data visualizations using the amazing JavaScript library D3.js About This Book • Learn to use the facilities provided by D3.js to create data-driven visualizations • Explore the concepts of D3.js through examples that enable you to quickly create visualizations including charts, network diagrams, and maps • Get practical examples of visualizations using real-world data sets that show you how to use D3.js to visualize and interact with information to glean its underlying meaning Who This Book Is For Whether you are new to data and data visualization, a seasoned data scientist, or a computer graphics specialist, this book will provide you with the skills you need to create web-based and interactive data visualizations. This book assumes some knowledge of coding and in particular, experience coding in JavaScript. What You Will Learn • Install and use D3.js to create HTML elements within the document • Use development tools such as JSBIN and Chrome Developer Tools to create D3.js applications • Retrieve JSON data and use D3.js selections and data binding to create visual elements from data • Create and style graphical elements such as circles, ellipses, rectangles, lines, paths, and text using SVG • Turn your data into bar and scatter charts, and add margins, axes, labels, and legends • Use D3.js generators to perform the magic of creating complex visualizations from data • Add interactivity to your visualizations, including tool-tips, sorting, hover-to-highlight, and grouping and dragging of visuals In Detail This book will take you through all the concepts of D3.js starting with the most basic ones and progressively building on them in each chapter to expand your knowledge of D3.js. Starting with obtaining D3.js and creating simple data bindings to non-graphical HTML elements, you will then master the creation of graphical elements from data. You’ll discover how to combine those elements into simple visualizations such as bar, line, and scatter charts, as well as more elaborate visualizations such as network diagrams, Sankey diagrams, maps, and choreopleths. Using practical examples provided, you will quickly get to grips with the features of D3.js and use this learning to create your own spectacular data visualizations with D3.js. Style and approach This book uses a practical, step-by-step approach that builds iteratively, starting with the basic concepts right through to mastery of the technology. Each concept is demonstrated using code examples that are interactively available online (and can also be run locally), and each chapter builds upon the concepts covered in the previous chapter,with succinct explanations of what the code does and how it fits into the bigger picture.
Author/Authors: Heydt, Michael
Pages: 304 | Published Date: 42367
Category: Data
ISBN
9781785289798
Design and develop modern web applications with Google's bold and productive language through engaging example projects :
If you are a frontend or backend web developer who is looking to build complex full-featured web applications without the quagmire of disconnected JavaScript frameworks, this book is a practical walkthrough of substantial applications that will have you and your team coding Dart in a productive manner.
Author/Authors: Mitchell, Davy
Pages: 250 | Published Date: 42272
Category: Programming
ISBN
9781783989638
Over 110 incredibly effective, useful, and hands-on recipes to design Dart web client and server applications :
If you are a Dart developer looking to sharpen your skills, and get insight and tips on how to put that knowledge into practice, then this book is for you. You should also have a basic knowledge of HTML, and how web applications with browser clients and servers work, in order to build dynamic Dart applications.
Author/Authors: Balbaert, Ivo
Pages: 346 | Published Date: 41936
Category: Programming
ISBN
9781782172178
Transform physical phenomena into computer-acceptable data using a truly object-oriented language :
If you are an engineer, scientist, experienced hobbyist, or student, you will highly benefit from the content and examples illustrated in this book. A working knowledge of precision testing, measurement instruments, and electronics, as well as a background in computer fundamentals and programming is expected.
Author/Authors: Ehsani, Behzad
Pages: 150 | Published Date: 42718
Category: Data
ISBN
9781785284038
Manage, analyze, and visualize data with Microsoft Excel 2013 to transform raw data into ready to use information :
If you want to start using Excel 2013 for data analysis and business modeling and enhance your skills in the data analysis life cycle, then this book is for you, whether you're new to Excel or an experienced user.
Author/Authors: Rojas, David
Pages: 226 | Published Date: 42304
Category: Data
ISBN
9781787280700
Master data management & analysis techniques with IBM SPSS Statistics 24 :
This book is designed for analysts and researchers who need to work with data to discover meaningful patterns but do not have the time (or inclination) to become programmers. We assume a foundational understanding of statistics such as one would learn in a basic course or two on statistical techniques and methods
Author/Authors: Stehlik-Barry, Kenneth | Babinec, Anthony J.
Pages: 446 | Published Date: 43000
Category: Data
ISBN
9781785286445
Load, wrangle, and analyze your data using the world's most powerful statistical programming language :
Load, wrangle, and analyze your data using the world's most powerful statistical programming language About This Book • Load, manipulate and analyze data from different sources • Gain a deeper understanding of fundamentals of applied statistics • A practical guide to performing data analysis in practice Who This Book Is For Whether you are learning data analysis for the first time, or you want to deepen the understanding you already have, this book will prove to an invaluable resource. If you are looking for a book to bring you all the way through the fundamentals to the application of advanced and effective analytics methodologies, and have some prior programming experience and a mathematical background, then this is for you. What You Will Learn • Navigate the R environment • Describe and visualize the behavior of data and relationships between data • Gain a thorough understanding of statistical reasoning and sampling • Employ hypothesis tests to draw inferences from your data • Learn Bayesian methods for estimating parameters • Perform regression to predict continuous variables • Apply powerful classification methods to predict categorical data • Handle missing data gracefully using multiple imputation • Identify and manage problematic data points • Employ parallelization and Rcpp to scale your analyses to larger data • Put best practices into effect to make your job easier and facilitate reproducibility In Detail 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. With over 7,000 user contributed packages, it’s easy to find support for the latest and greatest algorithms and techniques. Starting with the basics of R and statistical reasoning, Data Analysis with R 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. 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 dataâ€Â, 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. Style and approach Learn data analysis using engaging examples and fun exercises, and with a gentle and friendly but comprehensive "learn-by-doing" approach.
Author/Authors: Fischetti, Tony
Pages: 388 | Published Date: 42360
Category: Data
ISBN
9781788397339
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. :
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.
Author/Authors: Fischetti, Tony
Pages: 570 | Published Date: 43187
Category: Data
ISBN
9781782173182
Explore the big data field and learn how to perform data analytics and predictive modelling in STATA :
This book is for all the professionals and students who want to learn Stata programming and apply predictive modeling concepts. This book is also very helpful for experienced Stata programmers as it introduces advanced statistical modeling concepts and shows how to apply them.
Author/Authors: Kothari, Prasad
Pages: 176 | Published Date: 42305
Category: Data
ISBN
9781785881664
Explore architectural approaches to building Data Lakes that ingest, index, manage, and analyze massive amounts of data using Big Data technologies :
This book is for architects and senior managers who are responsible for building a strategy around their current data architecture. The reader will need a good knowledge of master data management, information lifecycle management, data governance, data product design, data engineering, and systems architecture. Also required is experience of Big Data technologies such as Hadoop, Spark, Splunk, and Storm.
Author/Authors: Pasupuleti, Pradeep | Purra, Beulah Salome
Pages: 164 | Published Date: 42334
Category: Data
