This book simplifies the use of Tableau software functionality for novice users so that they can create powerful data visualizations easily and quickly. Since it is often very difficult and expensive to provide external training on BI tools, this book aims to equip the reader with the resource they need to do it themselves. Jumpstart Tableau covers the basic reporting and analysis functions that most BI users perform in their day-to-day work. These include connecting to a data source, working with dimensions and measures, developing reports and charts, saving workbooks, filtering, swapping, sorting, formatting, grouping, creating hierarchies, forecasting, exporting, distributing, as well developing various chart types. Each exercise in Jumpstart Tableau provides screenshots that cover every step from start to finish. The exercises are based on a comprehensive sample Excel-based data source that Tableau Software (version 9) has provided, which makes it very easy to duplicate the exercises on the real software. In addition, the book: Enables readers to develop reports, queries, and visualizations Perform data analysis Execute each function in a step-by-step manner Provides the basic hands-on ability which can enable users to work up to more advanced and complex Tableau functionality Shows how to integrate individual development of content, such as tables/charts and visualizations., onto a dashboard for an effective presentation

Microsoft Visio Professional 2016 is an essential tool for creating sophisticated data visualizations across a variety of contexts and industries. In 'Mastering Data Visualization with Microsoft Visio Professional 2016', you'll learn how to utilize Visio's powerful features to transform data into compelling graphics and actionable insights. What this Book will help me do Understand how to integrate external data from various sources into your Visio diagrams. Master the use of Visio's tools to represent information using data-driven graphics. Learn the process of designing and utilizing custom shapes and templates for tailored visualizations. Discover methods for automating diagram creation from structured and external data sources. Gain techniques to share and present interactive and professional visuals with a wide audience. Author(s) John Marshall, the author of 'Mastering Data Visualization with Microsoft Visio Professional 2016,' brings years of experience in data modeling and visualization. With an extensive technical background, Marshall is a renowned expert in leveraging visual tools to communicate complex ideas effectively. His approachable writing style makes highly technical concepts accessible to professionals at various levels. Who is it for? If you're a business intelligence professional, technical analyst, or a Microsoft Office power user looking to enhance your skills in creating impactful visualizations, this book is for you. Its step-by-step approach is ideal for users of Visio Professional starting out or seeking advanced techniques. You'll gain practical insights and learn to apply them effectively in your business or technical workflows, achieving refined data presentations.

Dataviz—the new language of business A good visualization can communicate the nature and potential impact of information and ideas more powerfully than any other form of communication. For a long time “dataviz” was left to specialists—data scientists and professional designers. No longer. A new generation of tools and massive amounts of available data make it easy for anyone to create visualizations that communicate ideas far more effectively than generic spreadsheet charts ever could. What’s more, building good charts is quickly becoming a need-to-have skill for managers. If you’re not doing it, other managers are, and they’re getting noticed for it and getting credit for contributing to your company’s success. In Good Charts, dataviz maven Scott Berinato provides an essential guide to how visualization works and how to use this new language to impress and persuade. Dataviz today is where spreadsheets and word processors were in the early 1980s—on the cusp of changing how we work. Berinato lays out a system for thinking visually and building better charts through a process of talking, sketching, and prototyping. This book is much more than a set of static rules for making visualizations. It taps into both well-established and cutting-edge research in visual perception and neuroscience, as well as the emerging field of visualization science, to explore why good charts (and bad ones) create “feelings behind our eyes.” Along the way, Berinato also includes many engaging vignettes of dataviz pros, illustrating the ideas in practice. Good Charts will help you turn plain, uninspiring charts that merely present information into smart, effective visualizations that powerfully convey ideas.

Gnuplot in Action, Second Edition is a major revision of this popular and authoritative guide for developers, engineers, and scientists who want to learn and use gnuplot effectively. Fully updated for gnuplot version 5, the book includes four pages of color illustrations and four bonus appendixes available in the eBook. About the Technology Gnuplot is an open-source graphics program that helps you analyze, interpret, and present numerical data. Available for Unix, Mac, and Windows, it is well-maintained, mature, and totally free. About the Book Gnuplot in Action, Second Edition is a major revision of this authoritative guide for developers, engineers, and scientists. The book starts with a tutorial introduction, followed by a systematic overview of gnuplot's core features and full coverage of gnuplot's advanced capabilities. Experienced readers will appreciate the discussion of gnuplot 5?s features, including new plot types, improved text and color handling, and support for interactive, web-based display formats. The book concludes with chapters on graphical effects and general techniques for understanding data with graphs. It includes four pages of color illustrations. 3D graphics, false-color plots, heatmaps, and multivariate visualizations are covered in chapter-length appendixes available in the eBook. What's Inside Creating different types of graphs in detail Animations, scripting, batch operations Extensive discussion of terminals Updated to cover gnuplot version 5 About the Reader No prior experience with gnuplot is required. This book concentrates on practical applications of gnuplot relevant to users of all levels. About the Author Philipp K. Janert, Ph.D, is a programmer and scientist. He is the author of several books on data analysis and applied math and has been a gnuplot power user and developer for over 20 years. Quotes The highly anticipated, updated version of my go-to-for-everything book on gnuplot. - Ryan Balfanz, Shift Medical, Inc. The essential guide for newcomers and the definitive handbook for advanced users. - Zoltán Vörös, University of Innsbruck Learn how to use gnuplot to convert meaningful data into attention-grabbing visualizations that communicate your message quickly and accurately. - David Kerns, Rincon Research Corporation An accessible guide to gnuplot and best practices of everyday data visualization. - Wesley R. Elsberry,PhD, RealPage, Inc.

Embark on a journey to create stunning web-based 3D applications and games using Babylon.js, a powerful JavaScript framework. This essentials book takes you from the ground up, teaching the theory and practical applications of 3D development, with a particular focus on ease and accessibility. By the end of this guide, you'll possess the skills to design and implement dynamic 3D experiences. What this Book will help me do Gain a fundamental understanding of TypeScript and its advantages in large-scale projects like 3D engines. Master the foundational principles of 3D development with Babylon.js, emphasized through hands-on practice and clear theory. Learn to apply materials in Babylon.js, enabling you to alter and enrich the visual appeal of 3D objects. Incorporate collision physics and gameplay dynamics by understanding essential concepts like impostors in 3D simulations. Utilize advanced Babylon.js features, such as 3D audio spatialization and rendering post-process effects, to create immersive experiences. Author(s) None Moreau-Mathis, a software developer with significant experience, has worked on developing cutting-edge applications at companies like Microsoft. Their expertise in 3D development frameworks, particularly Babylon.js, has enabled them to break down complex technical concepts into approachable lessons. Moreau-Mathis combines a passion for sharing knowledge with years of hands-on experience to provide readers with practical and inspirational advice. Who is it for? This book is perfect for developers familiar with HTML5 and seeking to begin 3D Web application and game development using Babylon.js. Readers should have basic programming knowledge, such as in Object-Oriented Programming, and familiarity with web development concepts to grasp framework architecture effectively. Whether you are enhancing your web development toolkit or starting out with 3D, this book will help you achieve your aims.

This book dives into the practical application of R's power combined with Shiny's simplicity to build web-based analytics and interactive data summary tools. By following this step-by-step guide, you'll go from the basics of building with R and Shiny to creating sophisticated custom dashboards and interactive web apps. What this Book will help me do Create interactive web apps and dashboards using Shiny with impressive user interfaces. Integrate Shiny applications into custom HTML and CSS-based web pages for enhanced flexibility. Produce user-friendly Shiny applications extended with JavaScript and jQuery for added functionality. Develop web solutions that include interactive graphics, maps, and data analysis summaries. Deliver and deploy web apps securely using cloud solutions or self-hosted servers. Author(s) Chris Beeley, an experienced R developer and teacher, has a robust background in statistical programming and data analysis. Chris is passionate about sharing knowledge through practical examples and hands-on exercises. As the author of this book, Chris ensures that readers receive a clear and approachable entry into web application development using Shiny. Who is it for? This book is ideal for data enthusiasts, analysts, and developers looking to transition their analytic skills to the web. It caters to readers with basic programming knowledge but does not require prior experience with R or Shiny. It is perfect for professionals and learners wanting to create interactive analytics tools, dashboards, or data-driven web applications.

Make the most of your data using the power of Excel When you think of data, do you think of endless rows and columns in spreadsheets? Excel Dashboards and Reports For Dummies, 3 shows you how to make the most of your data—and puts an end to mind-numbing spreadsheets by exploring new ways to conceptualize and present key information. There's often a gap between handling data and synthesizing it into meaningful reports, and this approachable text bridges this gap with quick and accessible information that answers key questions, like how to meaningfully capture data trends, how to show relationships in data, and when it's better to show variances than actual data values. rd Edition As a leading spreadsheet application, Microsoft Excel is the go-to data software. This tool allows you to use dashboard reports that leverage gauges, maps, charts, sliders, and other visual elements to present complex data in a manner that's easy to understand. Using Excel dashboards effectively can improve your professional capabilities by leaps and bounds. Analyze and report on large amounts of data in a meaningful way Look at data from different perspectives, and better visualize the information you're presenting by quickly slicing data on the fly Automate redundant reporting and analysis functions, making your data analysis and reporting routine more efficient Create visualizations, dashboards, and what-if analyses that are as visually appealing as they are substantial Excel Dashboards and Reports For Dummies, 3 is a fantastic resource if you're looking to spice up your reporting! rd Edition

Transform your organization's data into actionable insights with Tableau Tableau is designed specifically to provide fast and easy visual analytics. The intuitive drag-and-drop interface helps you create interactive reports, dashboards, and visualizations, all without any special or advanced training. This all new edition of Tableau Your Data! is your Tableau companion, helping you get the most out of this invaluable business toolset. Tableau Your Data! shows you how to build dynamic, best of breed visualizations using the Tableau Software toolset. This comprehensive guide covers the core feature set for data analytics, and provides clear step-by-step guidance toward best practices and advanced techniques that go way beyond the user manual. You'll learn how Tableau is different from traditional business information analysis tools, and how to navigate your way around the Tableau 9.0 desktop before delving into functions and calculations, as well as sharing with the Tableau Server. Analyze data more effectively with Tableau Desktop Customize Tableau's settings for your organization's needs with detailed real-world examples on data security, scaling, syntax, and more Deploy visualizations to consumers throughout the enterprise - from sales to marketing, operations to finance, and beyond Understand Tableau functions and calculations and leverage Tableau across every link in the value chain Learn from actual working models of the book's visualizations and other web-based resources via a companion website Tableau helps you unlock the stories within the numbers, and Tableau Your Data! puts the software's full functionality right at your fingertips.

The quick way to learn Microsoft Visio 2016!This is learning made easy. Get more done quickly with Visio 2016. Jump in wherever you need answers--brisk lessons and colorful screenshots show you exactly what to do, step by step. Get results faster with starter diagrams Diagram processes, organizations, networks, and datacenters Add styles, colors, and themes Enhance diagrams with data-driven visualizations Link to external data sources, websites, and documents Add structure to diagrams with containers, lists, and callouts Validate flowchart, swimlane, and BPMN diagrams Collaborate and publish with Visio Services and Microsoft SharePoint 2016 Look up just the tasks and lessons you need

In 'Python Data Visualization Cookbook (Second Edition)', you'll learn how to create stunning and meaningful visual representations of data using Python's powerful libraries. Through step-by-step, recipe-based guidance, this book equips you to transform raw data into comprehensible and compelling visual stories. What this Book will help me do Master setting up Python and its libraries for data visualization. Learn how to import, clean, and organize data effectively. Create a variety of plots and charts tailored to your data's needs. Explore 3D visualizations and animations for more complex data insights. Incorporate visualization into environments like LaTeX and web frameworks. Author(s) The authors Igor Milovanovic, None Foures, and Giuseppe Vettigli bring extensive experience in Python programming and data analysis. With a passion for teaching and a clear instructional style, they make complex topics approachable and engaging. Their expertise ensures you gain practical knowledge you can apply immediately. Who is it for? This book is perfect for Python programmers who want to deepen their understanding of data and learn how to visualize it effectively. It's suitable for readers with basic Python knowledge, looking to elevate their skills in data visualization. Whether you aim to improve at data-driven storytelling or analyze data in clarity, this book has you covered.

Creating Data Stories with Tableau Public is a comprehensive guide to building impactful and interactive data visualizations using Tableau Public. Whether you are an investigative journalist, blogger, or data enthusiast, this book takes you through all the essential concepts, from connecting to data sources to publishing your visualizations online. You will learn how to effectively communicate data-driven stories with engaging visuals. What this Book will help me do Understand how to connect and prepare data for Tableau Public visualizations, including tips on cleaning and joining data. Learn about various chart types and their applications to visualize data effectively according to context and message. Discover methods for creating geographic maps and adding meaningful calculations to enhance your visualizations. Master the art of designing dashboards and storytelling with interactive elements like filters and actions. Gain insights on how to publish and embed your Tableau Public visualizations to share your data stories with wider audiences. Author(s) None Ohmann is an accomplished author and educator with rich expertise in data visualization and storytelling. Leveraging a passion for effective communication, None has written extensively on using tools like Tableau Public to bring data to life. As an advocate for accessible and interactive visualizations, None's work bridges technical proficiency and creative expression. Who is it for? This book is perfect for investigative journalists, bloggers, and media professionals eager to incorporate data visualizations into their work. Whether you're a beginner or have some experience with Tableau Public, you'll find practical advice to enhance your abilities. Organizations and teams that deal with data storytelling will also benefit from the clear and actionable strategies outlined in this guide.

Dive into "Kibana Essentials" and discover how to efficiently analyze data and create visually engaging visualizations and dashboards with Kibana. Whether you are new to Kibana or looking to enhance your skills, this book provides practical guidance to help you apply Kibana features to real-world scenarios. By the end, you'll have the skills to create and apply dashboards that run on Elasticsearch. What this Book will help me do Understand the core features and setup process of Kibana on both Windows and Ubuntu platforms. Master the Discover, Visualize, Dashboard, and Settings functionalities in Kibana. Utilize Elasticsearch's search capabilities to analyze data in Kibana. Create, customize, and share stunning visualizations and dashboards for various use cases. Gain advanced knowledge to tweak Kibana settings for optimized workflows. Author(s) None Gupta is an experienced author and data professional who has worked extensively with Kibana and Elasticsearch technologies. With a passion for simplifying complex concepts, None specializes in breaking down technical topics into digestible, actionable steps. Their practical approach ensures that learners can confidently apply knowledge immediately after reading. Who is it for? This book is for professionals or enthusiasts aiming to delve into data visualization using Kibana. Whether starting from scratch or familiar with similar tools, readers will find the foundational to advanced techniques invaluable. It's especially suited for those who want a practical, hands-on approach to mastering Kibana.

Unchain your data from the desktop with responsive visualizations Building Responsive Data Visualization for the Web is a handbook for any front-end development team needing a framework for integrating responsive web design into the current workflow. Written by a leading industry expert and design lead at Starbase Go, this book provides a wealth of information and practical guidance from the perspective of a real-world designer. You'll walk through the process of building data visualizations responsively as you learn best practices that build upon responsive web design principles, and get the hands-on practice you need with exercises, examples, and source code provided in every chapter. These strategies are designed to be implemented by teams large and small, with varying skill sets, so you can apply these concepts and skills to your project right away. Responsive web design is the practice of building a website to suit base browser capability, then adding features that enhance the experience based on the user's device's capabilities. Applying these ideas to data produces visualizations that always look as if they were designed specifically for the device through which they are viewed. This book shows you how to incorporate these principles into your current practices, with highly practical hands-on training. Examine the hard data surrounding responsive design Master best practices with hands-on exercises Learn data-based document manipulation using D3.js Adapt your current strategies to responsive workflows Data is growing exponentially, and the need to visualize it in any context has become crucial. Traditional visualizations allow important data to become lost when viewed on a small screen, and the web traffic speaks for itself – viewers repeatedly demonstrate their preference for responsive design. If you're ready to create more accessible, take-anywhere visualizations, Building Responsive Data Visualization for the Web is your tailor-made solution.

Don't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. 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. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data— Storytelling with Data will give you the skills and power to tell it!

Mastering Python Data Visualization provides thorough, hands-on guidance for creating impactful visual representations of data by leveraging Python's powerful libraries such as Matplotlib, Pandas, and Scikit-Learn. By following this book, you will gain proficiency in understanding data, performing analyses, and ultimately presenting your findings in a clear and engaging way. What this Book will help me do Effectively transform raw data into insightful visualizations using Python's rich ecosystem of libraries. Understand and apply best practices for selecting the most appropriate visualization techniques for different datasets and objectives. Master the use of Python for interactive plotting, regression analysis, clustering, and classification tasks. Develop a solid foundation in data visualization aesthetics and how to convey information clearly through visuals. Utilize Python for specialized fields such as finance, bioinformatics, and social network analysis, incorporating advanced computation techniques. Author(s) Kirthi Raman is an experienced data scientist and Python advocate with a strong background in technical computing and data visualization. He has hands-on experience in using Python's ecosystem to solve real-world data problems and a passion for sharing knowledge. Raman's writing focuses on blending practical insights with comprehensive explanations, ensuring readers not only learn the tools but also apply them effectively. Who is it for? This book is ideal for data analysts, data scientists, and researchers who want to deepen their knowledge of Python-based data visualization techniques. It requires readers to have a basic understanding of Python and data manipulation. If your goal is to create professional and informative visual narratives that are both visually appealing and data-driven, this book is for you.

Explore the world of QlikView dashboards with this comprehensive guide that walks you through the entire process of creating effective and visually engaging dashboards for your business needs. From identifying KPIs to rolling out your application, this book provides actionable steps and best practices for delivering data-driven results. What this Book will help me do Define key performance indicators (KPIs) based on business objectives and goals. Design and structure dashboards using best practices in data visualization. Master creating various chart types, including bar, line, pie charts, and advanced visualizations, like heat maps. Integrate data from multiple sources, such as ERP systems and spreadsheets, into a cohesive dashboard. Learn the steps to develop mobile-optimized dashboards for accessibility on the go. Author(s) None Villafuerte, a seasoned expert in data visualization and QlikView development, brings a wealth of experience to this book. With years of hands-on work creating impactful dashboards for various business needs, the author's pragmatic and result-oriented approach provides readers with practical and insightful knowledge. Who is it for? The book is tailored for QlikView developers who already possess a basic understanding of scripting and dashboard layout design. It's ideal for professionals aiming to enhance their design and visualization skills. Additionally, business analysts or managers with a technical inclination could also benefit from its comprehensive approach to creating interactive dashboards. If building effective and appealing dashboards that drive business impact is your goal, this book is for you.

Have you ever wanted to transform your data analysis in R into interactive, web-based dashboards and applications? "Learning Shiny" is your guide to mastering R's Shiny framework to create dynamic, visual, and engaging web applications. With its step-by-step approach, this book enables you to harness Shiny's features effectively. What this Book will help me do Understand the core principles of R and data processing using tools like apply and lapply, empowering you to handle data programmatically. Learn the Shiny framework fundamentals, including structuring an interactive application using UI and server scripts. Create stunning visualizations and dashboards using libraries like ggplot2 and integrate Shiny seamlessly. Deploy and host Shiny web applications on Linux servers for effective sharing and collaboration. Enhance your applications with JavaScript integrations, using tools like D3.js, for advanced customization. Author(s) Hernan Resnizky is a renowned data scientist and educator with extensive experience in R programming and Shiny application development. Known for his clear teaching style, he has guided numerous professionals in using R for real-world applications. His practical approach ensures readers not only learn techniques but understand how to apply them effectively. Who is it for? "Learning Shiny" is ideal for data scientists looking to showcase their work through interactive web apps and visualizations, and for web developers curious about leveraging the Shiny framework in R. Beginners as well as those with some R experience will find tailored guidance to suit their level. If you aim to expand your toolkit with web-focused R capabilities, this book is for you.

The book takes a hands-on approach to developing dashboards, from instructing users on advanced Excel techniques to addressing dashboard pitfalls common in the real world. Dashboards for Excel is your key to creating informative, actionable, and interactive dashboards and decision support systems. Throughout the book, the reader is challenged to think about Excel and data analytics differently—that is, to think outside the cell. This book shows you how to create dashboards in Excel quickly and effectively. In this book, you learn how to: Apply data visualization principles for more effective dashboards Employ dynamic charts and tables to create dashboards that are constantly up-to-date and providing fresh information Use understated yet powerful formulas for Excel development Apply advanced Excel techniques mixing formulas and Visual Basic for Applications (VBA) to create interactive dashboards Create dynamic systems for decision support in your organization Avoid common problems in Excel development and dashboard creation Get started with the Excel data model, PowerPivot, and Power Query

Mastering Matplotlib provides readers with the tools to not just create visualizations but to fully harness the capabilities of the Matplotlib library. You will explore advanced features, work on interactive visualizations, and learn to optimize plots for various platforms and datasets. By the end, you will be adept at using Matplotlib in complex projects involving data analysis and visualization. What this Book will help me do Understand the architecture and internals of Matplotlib to better utilize and extend its features. Develop visually dynamic and interactive plots that update in real-time with changes in the user interface. Leverage third-party libraries to visualize complex datasets and relationships efficiently. Create tailored styling for visualizations, meeting publication and presentation standards. Deploy and integrate Matplotlib-based visualizations into cloud environments and big data workflows seamlessly. Author(s) Duncan M. McGreggor is a seasoned software engineer with years of hands-on experience in data visualization and scientific computing. He specializes in utilizing Matplotlib for dynamic charting and advanced plotting use cases. His approach to writing focuses on empowering readers to apply and integrate visualization solutions in real-world scenarios. Who is it for? This book is ideal for scientists, software engineers, programmers, and students who have a foundational understanding of Matplotlib and are looking to take their skills to an advanced level. If you're aiming to leverage Matplotlib to handle intricate datasets or to create sophisticated visual representations, this book is for you. It caters to learners seeking practical guidance for professional or academic projects. Expand your visualization toolkit with this insightful guide.

"ggplot2 Essentials" takes you on a journey to mastering data visualization in R. Through this book, you will explore the full capabilities of the ggplot2 package and how it employs the principles of the grammar of graphics to create meaningful and visually appealing graphs. By reading this book, you will gain practical skills to produce stunning plots for your data analysis projects. What this Book will help me do Understand the core concepts of the grammar of graphics and how ggplot2 implements them. Learn to create a variety of plots using the ggplot2's basic and advanced functionalities. Master techniques for customizing plots, including aesthetics and graphical details. Become proficient in exporting plots in diverse formats and creating publication-ready graphs. Incorporate mapping and overlays into your plots, expanding the frontiers of ggplot2 capabilities. Author(s) Donato Teutonico is an experienced data analyst and programmer with a strong background in R and data visualization. With years of expertise, Donato specializes in creating clear, actionable tutorials for users of statistical software. His approach to teaching emphasizes practical, hands-on examples tailored to empower learners with practical plotting skills. Who is it for? This book is ideal for R programmers who want to harness the power of ggplot2 for data visualization. If you are already familiar with R and want to create more sophisticated and customizable graphics, this resource will enhance your skills. It is suited for intermediate R users aiming to discover ggplot2's features and create polished visual representations of their data. Advanced beginners passionate about data visualization will also appreciate the clear explanations and practical examples.