Found insideIn Understanding ECMAScript 6, expert developer Nicholas C. Zakas provides a complete guide to the object types, syntax, and other exciting changes that ECMAScript 6 brings to JavaScript. Found insideIn nine appealing chapters, the book: examines the role of data graphics in decision-making, sharing information, sparking discussions, and inspiring future research; scrutinizes data graphics, deliberates on the messages they convey, and ... Found insideKey Features: Convert static ggplot2 graphics to an interactive web-based form Link, animate, and arrange multiple plots in standalone HTML from R Embed, modify, and respond to plotly graphics in a shiny app Learn best practices for ... One of the main complaints is that MATLAB is just too slow. Accelerating MATLAB Performance aims to correct this perception by describing multiple ways to greatly improve MATLAB program speed. Packed with tho Found insidePerhaps you already know a bit about machine learning, but have never used R; or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. Found insideUnderstand, evaluate, and visualize data About This Book Learn basic steps of data analysis and how to use Python and its packages A step-by-step guide to predictive modeling including tips, tricks, and best practices Effectively visualize ... Found insideTargeted at those with an existing familiarity with R programming, this practical guide will appeal directly to programmers interested in learning effective data visualization techniques with R and a wide-range of its associated libraries. Found insideThe book guides you through varied bioinformatics analysis, from raw data to clean results. It shows you how to import, explore and evaluate your data and how to report it. Found insideThe Hitchhiker's Guide to Python takes the journeyman Pythonista to true expertise. Found insideFocusing on the exploration of data with visual methods, this book presents methods and R code for producing high-quality static graphics, interactive visualizations, and animations of time series, spatial, and space-time data. Found inside – Page 367... D3.js library, 163, 167 channel optimization, 317 chart graphics, ... R language, 247 color, in dashboard design, 193 Color Scales option, Excel, 270, ... Found insideThis book guides you in choosing graphics and understanding what information you can glean from them. It can be used as a primary text in a graphical data analysis course or as a supplement in a statistics course. Found insideThis work contains chapters that starts with a theoretical description of one technique or problem area and ends with a series of working examples, covering a range of applications. It is also suitable for computer music researchers. Found insideMoreover, packages gganimate (Pedersen and Robinson, 2019) and plotly (Sievert et ... A map of SID74 with a color scale given by the palette "YlOrRd" of the ... If you want to build your site’s frontend with the single-page application (SPA) model, this hands-on book shows you how to get the job done with Backbone.js. Found inside – Page 73... of R. plotly A great web-based tool for interactive graphic generation is ... 1 and 500,13 which we use to index the color scale, terrain.colors(500). Found inside – Page 182... iVikodak additionally provides KEGG (Kanehisa and Goto, 2000) color map ... D3.js (Bostock et al., 2011), plotly.js (Plotly Technologies Inc., 2015), ... Found inside – Page 154... frontend web framework in Python – no JavaScript required Elias Dabbas ... The color scale that we have here is only one of tens of scales that we can ... Found insideLeverage the power of Scala with different tools to build scalable, robust data science applications About This Book A complete guide for scalable data science solutions, from data ingestion to data visualization Deploy horizontally ... Found insideIn this book, you will learn how to use Chart.js, based on open Web standards, through a series of step-by-step tutorials and simple real-world examples to build interactive and responsive Web-based visualizations for your data. Found inside – Page iNo prior experience with lattice is required to read the book, although basic familiarity with R is assumed. The book contains close to 150 figures produced with lattice. Author Scott Murray teaches you the fundamental concepts and methods of D3, a JavaScript library that lets you express data visually in a web browser. It reflects the changing intelligence needs of our clients in both the public and private sector, as well as the many areas we have been active in over the past two years. Found insideCombining personal interviews with dozens of Americans and a longitudinal study covering 40 years of income data, the authors tell the story of the American Dream and reveal a number of surprises. Build beautiful data visualizations with D3 The Fullstack D3 book is the complete guide to D3. With dozens of code examples showing each step, you can gain new insights into your data by creating visualizations. If you’re in a hurry to learn D3.js, the leading JavaScript library for web-based graphics and visualization, this book is for you. Found insideThe second edition is updated to reflect the growing influence of the tidyverse set of packages. All code in the book has been revised and styled to be more readable and easier to understand. Found insideThis book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested ... Found insideIn addition, there are numerous JavaScript libraries for web-based data ... chart output requires refinements to aesthetic elements (such as colors). About the Book Data Wrangling with JavaScript promotes JavaScript to the center of the data analysis stage! MOM'S CHOICE AWARD Next Generation Indie Book Award National Indie Excellence Book Award Endorsed by the nation's leading color vision experts: I’m happy to say that All About Color Blindness will give children and parents alike the ... Found inside – Page iiiWritten for statisticians, computer scientists, geographers, research and applied scientists, and others interested in visualizing data, this book presents a unique foundation for producing almost every quantitative graphic found in ... Found insideWith this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas ... Found insideIn this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. Found inside – Page iThe contributions to this Volume by such a body of outstanding scientists shows the apprecia tion of the international scientific community to his research achievements. Found insideNote for ebook customers: The design and layout of this book play a key role in conveying the author's message. Provides both rich theory and powerful applications Figures are accompanied by code required to produce them Full color figures This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkison ... Found insideIt’s time to get visual. The Visual Organization is the sixth book by award-winning author, keynote speaker, and recognized technology expert Phil Simon. Found insideNow, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. Shares intriguing ideas from Nathan Yau, author of Visualize This and creator of flowingdata.com, with over 66,000 subscribers Focuses on visualization, data graphics that help viewers see trends and patterns they might not otherwise see in ... Found insideThis guide for software architects builds upon legacies of best practice, explaining key areas and how to make architectural designs successful. This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. Any reader familiar with calculus-based probability and statistics, and who is comfortable with basic matrix-algebra representations of statistical models, would find this book easy to follow. About the Book D3.js in Action, Second Edition is a completely updated revision of Manning's bestselling guide to data visualization with D3. You'll explore dozens of real-world examples, including force and network diagrams, workflow ... Found insideThis book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Found inside – Page iiThis book is a survey and analysis of how deep learning can be used to generate musical content. The authors offer a comprehensive presentation of the foundations of deep learning techniques for music generation. Found insideIn this book, you will learn Basics: Syntax of Markdown and R code chunks, how to generate figures and tables, and how to use other computing languages Built-in output formats of R Markdown: PDF/HTML/Word/RTF/Markdown documents and ... Found insidePresents case studies and instructions on how to solve data analysis problems using Python. Found insideTranslate your data into info-graphics using popular packages in R About This Book Use R's popular packages—such as ggplot2, ggvis, ggforce, and more—to create custom, interactive visualization solutions. By the end of the book, you'll be prepared to build your own web-based data visualizations with D3. 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