Discover how visualization turns data into action Tableau gives you the power to understand your data and put it in a format that is appealing and meaningful for everyone who needs to see it. Tableau For Dummies walks you through the steps to turn your data into a story that inspires action. This easy-to-understand guide offers insights from an enterprise data pro on how to transform data into a clear and memorable visual presentation. Navigate the Tableau user interface and connect to data sources Use drag-and-drop features to create stunning visualizations Work with templates, add graphs, and create clear charts Export your visualizations to multiple formats for easy sharing This is the perfect Dummies software guide for business professionals who need to better derive value from that all-important data.

Make your data work for you! Tableau For Dummies brings order to the chaotic world of data. Understanding your data and organizing it into formats and visualizations that make sense to you are crucial to making a real impact on your business with the information that's already at your fingertips. This easy-to-use reference explores the user interface, and guides you through the process of connecting your data sources to the software. Additionally, this approachable, yet comprehensive text shows you how to use graphs, charts, and other images to bring visual interest to your data, how to create dashboards from multiple data sources, and how to export the visualizations that you have developed into multiple formats that translate into positive change for your business. The mission of Tableau Software is to grant you access to data that, when put into action, will help you build your company. Learning to use the data available to you helps you make informed, grounded business decisions that can spell success for your company. Navigate the user interface to efficiently access the features you need Connect to various spreadsheets, databases, and other data sources to create a multi-dimensional snapshot of your business Develop visualizations with easy to use drag and drop features Start building your data with templates and sample workbooks to spark your creativity and help you organize your information Tableau For Dummies is a step-by-step resource that helps you make sense of the data landscape—and put your data to work in support of your business.

Tableau, one of the most widely used visualization tools, helps in illustrating the ideas of data visualization and storytelling. Through Tableau’s Data Visualization and Storytelling feature, aspiring data scientists and analysts can develop their visual analytics skills and use them in both academic and business contexts. Data Visualization and Storytelling with Tableau enables budding data analysts and data scientists to develop and sharpen their skills in the field of visual analytics and apply them in business scenarios as well as in academic context. This book approaches the Data Visualization workflow from a practical point of view, emphasizing the steps involved and the outcomes attained. A major focus of this book is the application and deployment of real-time case studies. Later chapters in this book provide comprehensive coverage for advanced topics such as data storytelling, data insights, color selection in graphs, publishing in tableau public, and misleading visualizations. Thus, this book emphasizes the need to visually examine and evaluate data through stories and interactive dashboards that are made up of appropriate graphs and charts. The case studies covered in this book are a natural extension of the visualization topics that are covered in each chapter. The intention is to empower readers to generate various dashboards, stories, graphs, charts, and maps to visualize and analyze data and support decision-making in business. Advanced charts that are pertinent to project management operations are also thoroughly explored, including comparison charts, distribution charts, composition charts, and maps. All these concepts will lay a solid foundation for data visualization applications in the minds of readers. This book is meant for data analysts, computer scientists/engineers, and industry professionals who are interested in creating different types of visualization graphs for a given data problem and drawing interesting insights from the plotted trends in order to make better business decisions in the future. Features: Introduces the world of Business Intelligence to readers through visualizations in Tableau. Discusses the need and relevance of each business graph with the help of a corresponding real-time case study. Explores the art of picking a suitable graph with an appropriate color scheme for a given scenario. Establishes the process of gaining relevant insights from the analysis of visualizations created. Provides guidance in creating innovative dashboards and driving the readers through the process of innovative storytelling with data in Tableau. Implements the concept of Exploratory Data Analysis (EDA) in Tableau.

Discover how visualization turns data into action Tableau gives you the power to understand your data and put it in a format that is appealing and meaningful for everyone who needs to see it. Tableau For Dummies walks you through the steps to turn your data into a story that inspires action. This easy-to-understand guide offers insights from an enterprise data pro on how to transform data into a clear and memorable visual presentation. Navigate the Tableau user interface and connect to data sources Use drag-and-drop features to create stunning visualizations Work with templates, add graphs, and create clear charts Export your visualizations to multiple formats for easy sharing This is the perfect Dummies software guide for business professionals who need to better derive value from that all-important data.

Tracking the library user's journey is no simple task in the digital world; users can often navigate through a series of different websites, including library websites, discovery tools, link resolvers, and more just to view a single journal article. Your library collects massive amounts of data related to this journey—probably more than you realize, and almost certainly more than you analyze. Too often library analytic programs simplify data into basic units of measurements that miss useful insights. Here, data expert Farney shows you how to maximize your efforts: you’ll learn how to improve your data collection, clean your data, and combine different data sources. Teaching you how to identify and analyze areas that fit your library’s priorities, this book covers case studies of library projects with digital analytics;ways to use email campaign data from MailChimp or ConstantContact;how to measure click-through rates from unavailable items in the catalog to the ILL module;getting data from search tools such as library catalogs, journal search portals, link resolvers, and digital repositories;using COUNTER compliant data from your electronic resources;techniques for using Google Tag Manager for custom metrics and dimensions;descriptions of analytics tools ranging from library analytics tools like Springshare’s LibInsights and Orangeboy’s Savannah to more focused web analytics tools like Google Analytics, Piwik, and Woopra; anddata visualization tools like Tableau or Google Data Studio. Focusing on digital analytics principles and concepts, this book walks you through the many tools available, including step-by-step examples for typical library needs.

Reasoning About Actions and Plans discusses approaches to a number of the more challenging problems in reasoning about the future and forming plans of action to achieve their goals. Reasoning about actions and plans can be seen as fundamental to the development of intelligent machines that are capable of dealing effectively with real-world problems. This book comprises 17 chapters, with the first delving into the semantics of STRIPS. The following chapters then discuss a theory of plans; formulating multiagent, dynamic-world problems in the classical planning framework; and a representation of parallel activity based on events, structure, and causality. Other chapters cover branching regular expressions and multi-agent plans; a representation of action and belief for automatic planning systems; possible worlds planning; and intractability and time-dependent planning. The remaining chapters discuss goal structure, holding periods and "clouds"; a model of plan inference that distinguishes between the beliefs of actors and observers; persistence, intention, and commitment; the context-sensitivity of belief and desire; the doxastic theory of intention; an architecture for intelligent reactive systems; and abstract reasoning as emergent from concrete activity. This book will be of interest to practitioners in the fields of cognition and artificial intelligence.

THE DEATH TABLEAU is a discomforting excursion into the seediness and tedium of real and terrifying 'evil'. Using word pictures that hit you like a brick wall, Herbertson tests his lady hero to the limit and beyond. At times touching on the brilliance of Lewis and Priestley with his descriptions of things beyond description, Herbertson takes his readers beyond the wardrobe of fantastical psychic outfits necessary for the performance of our daily masques of mundanity, showing how the true ashlar is wrought only through being hit quite hard with sharp objects.

Mathematical logic; Theories with induction.

Is There Progress in Economics? should be given relatively high marks. First, the quality of the papers is quite high, and second, the editors did a relatively good job of selecting, arranging and editing the contributions so that the volume really does focus on the question in its title. The editors introduction also contributes to the overall effect by attempting to tie all of the papers together into a reasonably tight bundle. D. Wade Hands, Economic Record This thought-provoking book discusses the concept of progress in economics and investigates whether any advance has been made in its different spheres of research. The authors look back at the history, successes and failures of their respective fields and thoroughly examine the notion of progress from an epistemological and methodological perspective. The idea of progress is particularly significant as the authors regard it as an essentially contested concept which can be defined in many ways theoretically or empirically; locally or globally; or as encouraging or impeding the existence of other research traditions. The authors discuss the idea that for progress to make any sense there must be an accumulation of knowledge built up over time rather than the replacement of ideas by each successive generation. Accordingly, they are not concerned with estimating the price of progress, reminiscing in the past, or assessing what has been lost. Instead they apply the complex mechanisms and machinery of the discipline to sub-fields such as normative economics, monetary economics, trade and location theory, Austrian economics and classical economics to critically assess whether progress has been made in these areas of research. Bringing together authoritative and wide-ranging contributions by leading scholars, this book will challenge and engage those interested in philosophy, economic methodology and the history of economic thought. It will also appeal to economists in general who are interested in the advancement of their profession.

With the tremendous growth and availability of the data, this book covers understanding the data, while telling a story with visualization including basic concepts about the data, the relationship and the visualizations. All the technical details that include installation and building the different visualizations are explained in a clear and systematic way. Various aspects pertaining to storytelling and visualization are explained in the book through Tableau. Features Provides a hands-on approach in Tableau in a simplified manner with steps Discusses the broad background of data and its fundamentals, from the Internet of Everything to analytics Emphasizes the use of context in delivering the stories Presents case studies with the building of a dashboard Presents application areas and case studies with identification of the impactful visualization This book will be helpful for professionals, graduate students and senior undergraduate students in Manufacturing Engineering, Civil and Mechanical Engineering, Data Analytics and Data Visualization.