Found insideWith this book and its extensive collection of online support, readers can: - Decide what visualisations work best for their data and their audience using the chart gallery - See data visualisation in action and learn the tools to try it ... Immersive Analytics is a new research initiative that aims to remove barriers between people, their data and the tools they use for analysis and decision making. This book teaches you to do predictive, descriptive, and prescriptive analyses with Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, HD Insight, and more. This book presents an accessible introduction to data-driven storytelling. 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 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 ... The Handbook of Metabolic Phenotyping is the definitive work on the rapidly developing subject of metabolic phenotyping. 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 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. This 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 ... Learn about data mining with real-world datasetsAbout This Book- Diverse real-world datasets to teach data mining techniques- Practical and focused on real-world data mining cases, this book covers concepts such as spatial data mining, text ... 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 ... This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on Mobile Computing, Applications, and Services (MobiCASE 2015) held in Osaka, Japan, February 28 – March 2, 2018. It’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 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. This detailed book provides a comprehensive state-of-the-art presentation of all aspects of miRNA target identification, from the prediction of miRNA binding sites on their target molecules to their experimental validation and downstream ... In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Found inside – Page iWho This Book Is For IT professionals, analysts, developers, data scientists, engineers, graduate students Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Perhaps 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. This volume discusses how surveys, which are employed in many different research areas, generate categorical data. This 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 insideThis hands-on guide shows developers entering the data science field how to implement an end-to-end data pipeline, using statistical and machine learning methods and tools on GCP. 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 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. Found insideWhat you will learn Explore and apply different interactive data visualization techniques Manipulate plotting parameters and styles to create appealing plots Customize data visualization for different audiences Design data visualizations ... 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. This book covers the most popular Python 3 frameworks for both local and distributed (in premise and cloud based) processing. Found insideThis book constitutes the thoroughly refereed proceedings of the 12th International Conference on Metadata and Semantic Research, MTSR 2018, held in Limassol, Cyprus, on October 23-26, 2018. 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 ... Geospatial Health Data: Modeling and Visualization with R-INLA and Shiny describes spatial and spatio-temporal statistical methods and visualization techniques to analyze georeferenced health data in R. The book covers the following topics: ... Intended to anyone interested in numerical computing and data science: students, researchers, teachers, engineers, analysts, hobbyists. 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. 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 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. This work was published by Saint Philip Street Press pursuant to a Creative Commons license permitting commercial use. All rights not granted by the work's license are retained by the author or authors. 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. Found insideThis book presents an easy to use practical guide in R to compute the most popular machine learning methods for exploring real word data sets, as well as, for building predictive models. Found insideIf you develop sites or applications for the Web, this book is an absolute must. Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. 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 ... Offers a practical introduction to healthcare analytics that does not require a background in data science statistics! 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