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Visual Ergonomics for Communication Design reveals the application of ergonomics principles in visual communication design. It enables the visual designer to look at different aspects of visual design from the point of view of the user to ensure that their designs are more user-friendly.
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"With the tremendous growth and availability of the data, this book covers understanding of 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 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, Internet of everything to analytics. Emphasizes the use of context in delivering the stories. Presents case studies with building of a dashboard. Presents application areas and case studies with identification of the impactful visualization. This book aims at Professionals, Graduate students and senior under-graduate students in Manufacturing Engineering, Civil and Mechanical Engineering, Data Analytics, and Data Visualization"--
Information visualization. --- Information visualization --- Computer programs. --- Tableau (Computer file)
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"This book is a timely and critical introduction for people who are interested in what data science is (and isn't), and how it should be applied. The language is conversational and the content is accessible for readers without a quantitative or computational background, but at the same time, it is also a practical overview of the field for the more technical readers. The overarching goal is to demystify the field and teach the reader how to develop an analytical mindset instead of following recipes. The book takes the scientist's approach of focusing on asking the right question at every step as the most important factor contributing to the success of a data science project. Upon finishing this book, the reader should be asking more questions than I have answered. This book is, therefore, a practising scientist's approach to explaining data science through questions and examples"-- Provided by publisher.
Statistics. --- Information visualization. --- Artificial intelligence.
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The modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. This clear and methodical book will help you learn how to use R from the ground up, giving you a start in the world of data science.
Information visualization. --- R (Computer program language) --- Statistics.
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The modern world is awash with data. The R Project is a statistical environment and programming language that can help to make sense of it all. This clear and methodical book will help you learn how to use R from the ground up, giving you a start in the world of data science
Information visualization --- R (Computer program language) --- Statistics
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Are you a reasonably competent Power BI user but still struggling to generate reports that truly tell the story of your data? Or do you simply want to extend your knowledge of Power BI by exploring more complex areas of visualizations, data modelling, DAX, and Power Query? If so, this book is for you. This book serves as a comprehensive resource for users to implement more challenging visuals, build better data models, use DAX with more confidence, and execute more complex queries so they can find and share important insights into their data. The contents of the chapters are in a question-and-answer format that explore everyday data analysis scenarios in Power BI. These questions have been generated from the author’s own client base and from commonly sought-for information from the Power BI community. They cover a wide and diverse range of topics that many Power BI users often struggle to get to grips with or don’t fully understand. Examples of such questions are: How can I generate dynamic titles for visuals? How can I control subtotals in a Matrix visual? Why do I need a date dimension? How can I show the previous N month’s sales in a column chart? Why do I need a Star Schema? Why aren't my totals correct? How can I bin measures into numeric ranges? Can I import a Word document? Can I dynamically append data from different source files? Solutions to these questions and many more are presented in non-technical and easy-to-follow explanations negating the requirement to perform tiresome and fruitless “google” searches. There are also companion Power BI Desktop files that set out the answers to each question so you can follow along with the examples given in the book.. After working through this book, you will have extended your knowledge of Power BI to an expert level, alleviating your existing frustrations and so enabling you to design Power BI reports where you are no longer limited by your lack of knowledge or experience.
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This accessible, step-by-step guide is written for students and working professionals who want to better understand data journalism, web design, and the visualization of information. Foundations of Data and Digital Journalism recognizes a growing need for general data knowledge in newsrooms across the globe, including an understanding of what's possible for both data reporting and presentation and how it can be achieved. It serves as a roadmap for students and working journalists who seek to understand what data is and how to find it; how to harness it most effectively for news; how to think critically about analysis results, potential shortcomings in the data, and the inclusion of appropriate context; and how to present compelling, data-driven stories online. Interviews with a diverse range of current practitioners help the reader gain a deeper understanding of how these tools and techniques are used in digitally focused newsrooms today. Taking a holistic approach to data journalism, this book enables readers to: Assess a data set with a critical eye, understanding what it shows, how it was created, and for what purpose Master prominent and easily accessible software tools, including Google Sheets and R Translate findings and conclusions into plain English for a news audience without overstating what the data can show or being misleading Create impactful, attractive visualizations for an audience to explore Understand how the modern web works, including HTML5, CSS3, and responsive webpage frameworks, like Bootstrap This is an ideal textbook for undergraduate and postgraduate journalism students and for working professionals looking to expand their skillset. The book is supported with online student resources, including example datasets to support the material covered, available at Routledge.com.
Information visualization. --- Journalism --- Web sites --- Data processing. --- Design.
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Le 21e siècle est l'ère du visuel : sur tous les fronts, la bataille de l'image fait rage. Les données chiffrées n'y échappent pas. Que vous défendiez un budget, que vous vendiez un concept novateur ou que vous décortiquiez un sujet d'actualité, on vous attend au tournant. Or, une infographie réussie est un savant mélange de compréhension technique et de projection visuelle que nous avons rebaptisé « Infographix ». Alan Smith, responsable de la visualisation des données au « Financial Times », livre en exclusivité les clés de compréhension et de construction des graphiques les plus réussis : Quelle est l'information essentielle que le lecteur doit retenir ? ; Quel format sera le plus adapté ? (Et pourquoi il n'y a pas que les camemberts, les barres et les courbes dans la vie.) ; Quels sont les éléments saillants à faire ressortir et comment s'y prendre ? ; Quel titre choisir pour enfoncer le clou ? Sélectionné parmi les meilleurs livres professionnels de l'année du « Financial Times », « Infographix » est l'outil indispensable pour exercer sens critique, capacité d'analyse, esprit de synthèse et convaincre vos interlocuteurs, visuels à l'appui. Pour que vos données ne passent plus jamais à la trappe !
Information visualization --- Charts, diagrams, etc. --- Data Visualization --- Chart
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