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| financial times visual vocabulary: #MakeoverMonday Andy Kriebel, Eva Murray, 2018-10-02 Explore different perspectives and approaches to create more effective visualizations #MakeoverMonday offers inspiration and a giant dose of perspective for those who communicate data. Originally a small project in the data visualization community, #MakeoverMonday features a weekly chart or graph and a dataset that community members reimagine in order to make it more effective. The results have been astounding; hundreds of people have contributed thousands of makeovers, perfectly illustrating the highly variable nature of data visualization. Different takes on the same data showed a wide variation of theme, focus, content, and design, with side-by-side comparisons throwing more- and less-effective techniques into sharp relief. This book is an extension of that project, featuring a variety of makeovers that showcase various approaches to data communication and a focus on the analytical, design and storytelling skills that have been developed through #MakeoverMonday. Paging through the makeovers ignites immediate inspiration for your own work, provides insight into different perspectives, and highlights the techniques that truly make an impact. Explore the many approaches to visual data communication Think beyond the data and consider audience, stakeholders, and message Design your graphs to be intuitive and more communicative Assess the impact of layout, color, font, chart type, and other design choices Creating visual representation of complex datasets is tricky. There’s the mandate to include all relevant data in a clean, readable format that best illustrates what the data is saying—but there is also the designer’s impetus to showcase a command of the complexity and create multidimensional visualizations that “look cool.” #MakeoverMonday shows you the many ways to walk the line between simple reporting and design artistry to create exactly the visualization the situation requires. |
| financial times visual vocabulary: How Charts Work Alan Smith, 2022-09-13 How Charts Work brings the secrets of effective data visualisation in a way that will help you bring data alive. Charts, graphs and tables are essential devices in business, but all too often they present information poorly. This book will help you: Feel confident understanding different types of charts, graphs and tables – and how to read them Recognise the true story behind the data presented and what the information really shows Know the principles and rules of how best to represent information so you can create your own information-driven (and beautiful) visuals Design visuals that people engage with, understand and act upon Don’t value design over information – present data persuasively. Find the FT Chart Doctor’s columns here - https://www.ft.com/chart-doctor |
| financial times visual vocabulary: Mastering Tableau 2023 Marleen Meier, 2023-08-29 Build, design, and improve advanced business intelligence solutions using Tableau’s newest updates, including new Tableau Desktop, Tableau Prep, and Tableau Server features Purchase of the print or Kindle book includes a free PDF eBook Key Features Master new Tableau 2023 features to solve real-world analytics challenges Learn how to use both pre-defined and your own Machine Learning models in Tableau How to manage Data Governance and secure high data quality Book DescriptionThis edition of the bestselling Tableau guide will teach you how to leverage Tableau's newest features and offerings in various paradigms of the BI domain. Updated with fresh topics, including the newest features in Tableau Server, Prep, and Desktop, as well as up-to-date examples, this book will take you from mastering essential Tableau concepts to advance functionalities. A chapter on data governance has also been added. Throughout this book, you'll learn how to use Tableau Hyper files and Prep Builder to easily perform data preparation and handling, as well as complex joins, spatial joins, unions, and data blending tasks using practical examples. You'll also get to grips with executing data densification and explore other expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. Later chapters will teach you all about improving dashboard performance, connecting to Tableau Server, and understanding data visualization with examples. Finally, you'll cover advanced use cases, such as self-service analysis, time series analysis, geo-spatial analysis, and how to connect Tableau to Python and R to implement programming functionalities within Tableau. By the end of this book, you'll have mastered Tableau 2023 and be able to tackle common and advanced challenges in the BI domain.What you will learn Learn about various Tableau components, such as calculated fields, table calculations, and LOD expressions Master ETL (Extract, Transform, Load) techniques using Tableau Prep Builder Explore and implement data storytelling with Python and R Understand Tableau Exchange by using accelerators, extensions, and connectors Interact with Tableau Server to understand its functionalities Study advanced visualizations and dashboard creation techniques Brush up on powerful self-service analytics, time series analytics, and geo-spatial analytics Find out why data governance matters and how to implement it Who this book is forThis book is designed for business analysts, business intelligence professionals, and data analysts who want to master Tableau to solve a range of data science and business intelligence problems. Prior exposure to Tableau will help you get to grips with the features more quickly, but it’s not a prerequisite. |
| financial times visual vocabulary: #MakeoverMonday Andy Kriebel, Eva Murray, 2018-10-02 Explore different perspectives and approaches to create more effective visualizations #MakeoverMonday offers inspiration and a giant dose of perspective for those who communicate data. Originally a small project in the data visualization community, #MakeoverMonday features a weekly chart or graph and a dataset that community members reimagine in order to make it more effective. The results have been astounding; hundreds of people have contributed thousands of makeovers, perfectly illustrating the highly variable nature of data visualization. Different takes on the same data showed a wide variation of theme, focus, content, and design, with side-by-side comparisons throwing more- and less-effective techniques into sharp relief. This book is an extension of that project, featuring a variety of makeovers that showcase various approaches to data communication and a focus on the analytical, design and storytelling skills that have been developed through #MakeoverMonday. Paging through the makeovers ignites immediate inspiration for your own work, provides insight into different perspectives, and highlights the techniques that truly make an impact. Explore the many approaches to visual data communication Think beyond the data and consider audience, stakeholders, and message Design your graphs to be intuitive and more communicative Assess the impact of layout, color, font, chart type, and other design choices Creating visual representation of complex datasets is tricky. There’s the mandate to include all relevant data in a clean, readable format that best illustrates what the data is saying—but there is also the designer’s impetus to showcase a command of the complexity and create multidimensional visualizations that “look cool.” #MakeoverMonday shows you the many ways to walk the line between simple reporting and design artistry to create exactly the visualization the situation requires. |
| financial times visual vocabulary: Everyday Data Visualization Desireé Abbott, 2024-06-04 Radically improve the quality of your data visualizations by employing core principles of color, typography, chart types, data storytelling, and more. Everyday Data Visualization is a field guide for design techniques that will improve the charts, reports, and data dashboards you build every day. Everything you learn is tool-agnostic, with universal principles you can apply to any data stack. In Everyday Data Visualization you’ll learn important design principles for the most common data visualizations: Harness the power of perception to guide a user’s attention Bring data to life with color and typography Choose the best chart types for your data story Design for interactive visualizations Keep the user’s needs first throughout your projects This book gives you the tools you need to bring your data to life with clarity, precision, and flair. You’ll learn how human brains perceive and process information, wield modern accessibility standards, get the basics of color theory and typography, and more. About the technology Even mundane presentations like charts, dashboards, and infographics can become engaging and inspiring data stories! This book shows you how to upgrade the visualizations you create every day by improving the layout, typography, color, and accessibility. You’ll discover timeless principles of design that help you highlight important features, compensate for missing information, and interact with live data flows. About the book Everyday Data Visualization guides you through basic graphic design for the most common types of data visualization. You’ll learn how to enhance charts with color, encourage users to interact and explore data and create visualizations accessible to everyone. Along the way, you’ll practice each new skill as you take a dashboard project from research to publication. What's inside Bring data to life with color and typography Choose the best chart types for your data story Design interactive visualizations About the reader For readers experienced with data analysis tools. About the author Desireé Abbott has over a decade of experience in product analytics, business intelligence, science, design, and software engineering. The technical editor on this book was Michael Petrey. Table of Contents PART 1 1 Hello, data viz! 2 How we perceive information 3 It’s all about the data PART 2 4 Choosing colors 5 Typography 6 Creating a good chart 7 Designing for interactivity PART 3 8 Research, design, and development 9 Troubleshooting Appendix |
| financial times visual vocabulary: Questions in Dataviz Neil Richards, 2022-11-02 This book takes the reader through the process of learning and creating data visualisation, following a unique journey with questions every step of the way, ultimately discussing how and when to bend and break the rules to come up with creative, unique, and sometimes unconventional ideas. Each easy-to-follow chapter poses one key question and provides a selection of discussion points and relevant data visualisation examples throughout. Structured in three parts: Section I poses questions around some fundamental data visualisation principles, while Section II introduces more advanced questions, challenging perceived best practices and suggesting when rules are open to interpretation or there to be broken. The questions in Section III introduce further themes leading on to specific ideas and visualisation projects in more detail. Questions in Dataviz: A Design-Driven Process for Data Visualisation will appeal to any reader with an interest in creative or unconventional data visualisation and will be especially useful for those at a beginner or intermediate level looking for inspiration and alternative ways to deploy their data visualisation skills outside of conventional business charts. |
| financial times visual vocabulary: Better Data Visualizations Jonathan Schwabish, 2021-02-09 Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information. Yet many researchers were never taught how to present their work visually. This book details essential strategies to create more effective data visualizations. Jonathan Schwabish walks readers through the steps of creating better graphs and how to move beyond simple line, bar, and pie charts. Through more than five hundred examples, he demonstrates the do’s and don’ts of data visualization, the principles of visual perception, and how to make subjective style decisions around a chart’s design. Schwabish surveys more than eighty visualization types, from histograms to horizon charts, ridgeline plots to choropleth maps, and explains how each has its place in the visual toolkit. It might seem intimidating, but everyone can learn how to create compelling, effective data visualizations. This book will guide you as you define your audience and goals, choose the graph that best fits for your data, and clearly communicate your message. |
| financial times visual vocabulary: Optimizing Hyperparameters for Machine Learning Algorithms in Production Jonathan Krauß, 2022-04-13 Machine learning (ML) offers the potential to train data-based models and therefore to extract knowledge from data. Due to an increase in networking and digitalization, data and consequently the application of ML are growing in production. The creation of ML models includes several tasks that need to be conducted within data integration, data preparation, modeling, and deployment. One key design decision in this context is the selection of the hyperparameters of an ML algorithm – regardless of whether this task is conducted manually by a data scientist or automatically by an AutoML system. Therefore, data scientists and AutoML systems rely on hyperparameter optimization (HPO) techniques: algorithms that automatically identify good hyperparameters for ML algorithms. The selection of the HPO technique is of great relevance, since it can improve the final performance of an ML model by up to 62 % and reduce its errors by up to 95 %, compared to computing with default values. As the selection of the HPO technique depends on different domain-specific influences, it becomes more and more popular to use decision support systems to facilitate this selection. Since no approach exists, which covers the requirements from the production domain, the main research question of this thesis was: Can a decision support system be developed that supports in the selecting of HPO techniques in the production domain? |
| financial times visual vocabulary: A Field Guide to Sprawl Dolores Hayden, 2004 A visual lexicon of the colorful slang, from alligator investment to zoomburb, that defines sprawl in America. May well establish Ms. Hayden as the Roger Tory Peterson of Sprawl. --New York Times |
| financial times visual vocabulary: Avoiding Data Pitfalls Ben Jones, 2019-11-19 Avoid data blunders and create truly useful visualizations Avoiding Data Pitfalls is a reputation-saving handbook for those who work with data, designed to help you avoid the all-too-common blunders that occur in data analysis, visualization, and presentation. Plenty of data tools exist, along with plenty of books that tell you how to use them—but unless you truly understand how to work with data, each of these tools can ultimately mislead and cause costly mistakes. This book walks you step by step through the full data visualization process, from calculation and analysis through accurate, useful presentation. Common blunders are explored in depth to show you how they arise, how they have become so common, and how you can avoid them from the outset. Then and only then can you take advantage of the wealth of tools that are out there—in the hands of someone who knows what they're doing, the right tools can cut down on the time, labor, and myriad decisions that go into each and every data presentation. Workers in almost every industry are now commonly expected to effectively analyze and present data, even with little or no formal training. There are many pitfalls—some might say chasms—in the process, and no one wants to be the source of a data error that costs money or even lives. This book provides a full walk-through of the process to help you ensure a truly useful result. Delve into the data-reality gap that grows with our dependence on data Learn how the right tools can streamline the visualization process Avoid common mistakes in data analysis, visualization, and presentation Create and present clear, accurate, effective data visualizations To err is human, but in today's data-driven world, the stakes can be high and the mistakes costly. Don't rely on catching mistakes, avoid them from the outset with the expert instruction in Avoiding Data Pitfalls. |
| financial times visual vocabulary: Data Literacy in Practice Angelika Klidas, Kevin Hanegan, 2022-11-30 Accelerate your journey to smarter decision making by mastering the fundamentals of data literacy and developing the mindset to work confidently with data Key FeaturesGet a solid grasp of data literacy fundamentals to support your next steps in your careerLearn how to work with data and extract meaningful insights to take the right actionsApply your knowledge to real-world business intelligence projectsBook Description Data is more than a mere commodity in our digital world. It is the ebb and flow of our modern existence. Individuals, teams, and enterprises working with data can unlock a new realm of possibilities. And the resultant agility, growth, and inevitable success have one origin—data literacy. This comprehensive guide is written by two data literacy pioneers, each with a thorough footprint within the data and analytics commercial world and lectures at top universities in the US and the Netherlands. Complete with best practices, practical models, and real-world examples, Data Literacy in Practice will help you start making your data work for you by building your understanding of data literacy basics and accelerating your journey to independently uncovering insights. You'll learn the four-pillar model that underpins all data and analytics and explore concepts such as measuring data quality, setting up a pragmatic data management environment, choosing the right graphs for your readers, and questioning your insights. By the end of the book, you'll be equipped with a combination of skills and mindset as well as with tools and frameworks that will allow you to find insights and meaning within your data for data-informed decision making. What you will learnStart your data literacy journey with simple and actionable stepsApply the four-pillar model for organizations to transform data into insightsDiscover which skills you need to work confidently with dataVisualize data and create compelling visual data storiesMeasure, improve, and leverage your data to meet organizational goalsMaster the process of drawing insights, ask critical questions and action your insightsDiscover the right steps to take when you analyze insightsWho this book is for This book is for data analysts, data professionals, and data teams starting or wanting to accelerate their data literacy journey. If you're looking to develop the skills and mindset you need to work independently with data, as well as a solid knowledge base of the tools and frameworks, you'll find this book useful. |
| financial times visual vocabulary: Community Data Rahul Bhargava, 2024-11-04 Community Data offers a new toolkit for data storytelling in community settings, one purpose-built for goals like inclusion, empowerment, and impact. Data science and visualization has spread into new domains it was designed for - community organizing, education, journalism, civic governance, and more. The dominant computational methods and processes, which have not changed in response, are causing significant discriminatory and harmful impacts, documented by leading scholars across a variety of populations. Informed by 15 years of collaborations in academic and professional settings with nonprofits and marginalized populations, the book articulates a new approach for aligning the processes and media of data work with social good outcomes, learning from the practices of newspapers, museums, community groups, artists, and libraries. This book introduces a community-driven framework as a response to the urgent need to realign data theories and methods around justice and empowerment to avoid further replicating harmful power dynamics and ensure everyone has a seat at the table in data-centered community processes. It offers a broader toolbox for working with data and presenting it, pushing beyond the limited vocabulary of surveys, spreadsheets, charts and graphs. |
| financial times visual vocabulary: Cool Infographics Randy Krum, 2013-10-23 Make information memorable with creative visual design techniques Research shows that visual information is more quickly and easily understood, and much more likely to be remembered. This innovative book presents the design process and the best software tools for creating infographics that communicate. Including a special section on how to construct the increasingly popular infographic resume, the book offers graphic designers, marketers, and business professionals vital information on the most effective ways to present data. Explains why infographics and data visualizations work Shares the tools and techniques for creating great infographics Covers online infographics used for marketing, including social media and search engine optimization (SEO) Shows how to market your skills with a visual, infographic resume Explores the many internal business uses of infographics, including board meeting presentations, annual reports, consumer research statistics, marketing strategies, business plans, and visual explanations of products and services to your customers With Cool Infographics, you'll learn to create infographics to successfully reach your target audience and tell clear stories with your data. |
| financial times visual vocabulary: Media Analytics C. Ann Hollifield, Amy Jo Coffey, 2023-06-27 This textbook takes a case study approach to media and audience analytics. Realizing the best way to understand analytics in the digital age is to practice it, the authors have created a collection of cases using datasets that present real and hypothetical scenarios for students to work through. Media Analytics introduces the key principles of media economics and management. It outlines how to interpret and present results, the principles of data visualization and storytelling, and the basics of research design and sampling. Although shifting technology makes measurement and analytics a dynamic space, this book takes an evergreen, conceptual approach, reminding students to focus on the principles and foundations that will remain constant. Aimed at upper-level students in the fast-growing area of media analytics in a cross-platform world, students using this text will learn how to find the stories in the data and how to present those stories in an engaging way to others. Instructor and Student Resources include an Instructor’s Manual, discussion questions, short exercises, and links to additional resources. They are available online at www.routledge.com/cw/hollifield. |
| financial times visual vocabulary: Data + Journalism Mike Reilley, Samantha Sunne, 2022-12-30 Taking a hands-on and holistic approach to data, Data + Journalism provides a complete guide to reporting data-driven stories. This book offers insights into data journalism from a global perspective, including datasets and interviews with data journalists from countries around the world. Emphasized by examples drawn from frequently updated sets of open data posted by authoritative sources like the FBI, Eurostat and the US Census Bureau, the authors take a deep dive into data journalism’s heavy lifting – searching for, scraping and cleaning data. Combined with exercises, video training supplements and lists of tools and resources at the end of each chapter, readers will learn not just how to crunch numbers but also how to put a human face to data, resulting in compelling, story-driven news stories based on solid analysis. Written by two experienced journalists and data journalism teachers, Data + Journalism is essential reading for students, instructors and early career professionals seeking a comprehensive introduction to data journalism skills. |
| financial times visual vocabulary: Mastering Tableau 2021 Marleen Meier, David Baldwin, Kate Strachnyi, 2021-05-31 Build, design, and improve advanced business intelligence solutions using Tableau's latest features, including Tableau Prep Builder, Tableau Hyper, and Tableau Server Key FeaturesMaster new features in Tableau 2021 to solve real-world analytics challengesPerform geo-spatial, time series, and self-service analytics using real-life examplesBuild and publish dashboards and explore storytelling using Python and R integration supportBook Description Tableau is one of the leading business intelligence (BI) tools that can help you solve data analysis challenges. With this book, you will master Tableau's features and offerings in various paradigms of the BI domain. Updated with fresh topics including Quick Level of Detail expressions, the newest Tableau Server features, Einstein Discovery, and more, this book covers essential Tableau concepts and advanced functionalities. Leveraging Tableau Hyper files and using Prep Builder, you'll be able to perform data preparation and handling easily. You'll gear up to perform complex joins, spatial joins, unions, and data blending tasks using practical examples. Next, you'll learn how to execute data densification and further explore expert-level examples to help you with calculations, mapping, and visual design using Tableau extensions. You'll also learn about improving dashboard performance, connecting to Tableau Server and understanding data visualization with examples. Finally, you'll cover advanced use cases such as self-service analysis, time series analysis, and geo-spatial analysis, and connect Tableau to Python and R to implement programming functionalities within it. By the end of this Tableau book, you'll have mastered the advanced offerings of Tableau 2021 and be able to tackle common and advanced challenges in the BI domain. What you will learnGet up to speed with various Tableau componentsMaster data preparation techniques using Tableau Prep BuilderDiscover how to use Tableau to create a PowerPoint-like presentationUnderstand different Tableau visualization techniques and dashboard designsInteract with the Tableau server to understand its architecture and functionalitiesStudy advanced visualizations and dashboard creation techniquesBrush up on powerful self-service analytics, time series analytics, and geo-spatial analyticsWho this book is for This book is designed for business analysts, business intelligence professionals and data analysts who want to master Tableau to solve a range of data science and business intelligence problems. The book is ideal if you have a good understanding of Tableau and want to take your skills to the next level. |
| financial times visual vocabulary: Foundations of Data and Digital Journalism Alex Richards, 2023-02-14 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. |
| financial times visual vocabulary: Visual Pedagogies in Higher Education , 2022-10-17 Visual Pedagogies offers research-based reflections and comprehensive guidelines on how to carry out visual activities with students of a variety of fields, discussing case studies from eight countries. Examples include drawing, collage making, video production, object-based learning, and photography projects. |
| financial times visual vocabulary: D3.js 4.x Data Visualization Ændrew Rininsland, Swizec Teller, 2017-04-28 Create and publish your own interactive and compelling data visualizations with D3.js 4.x About This Book Build interactive and rich graphics and visualization using JavaScript`s powerful library D3.js Learn D3 from the ground up, using the all-new version 4 of the library Gain insight into producing high-quality, extensible charts and visualizations using best practices such as writing testable, extensible code and strong typing Who This Book Is For This book is for web developers, interactive news developers, data scientists, and anyone interested in representing data through interactive visualizations on the Web with D3. Some basic knowledge of JavaScript is expected, but no prior experience with data visualization or D3 is required to follow this book. What You Will Learn Map data to visual elements using D3's scales Draw SVG elements using D3's shape generators Transform data using D3's collection methods Use D3's various layout patterns to quickly generate various common types of chart Write modern JavaScript using ES2017 and Babel Explore the basics of unit testing D3 visualizations using Mocha and Chai Write and deploy a simple Node.js web service to render charts via HTML Canvas Understand what makes a good data visualization and how to use the tools at your disposal to create accurate charts In Detail Want to get started with impressive interactive visualizations and implement them in your daily tasks? This book offers the perfect solution-D3.js. It has emerged as the most popular tool for data visualization. This book will teach you how to implement the features of the latest version of D3 while writing JavaScript using the newest tools and technique You will start by setting up the D3 environment and making your first basic bar chart. You will then build stunning SVG and Canvas-based data visualizations while writing testable, extensible code,as accurate and informative as it is visually stimulating. Step-by-step examples walk you through creating, integrating, and debugging different types of visualization and will have you building basic visualizations (such as bar, line, and scatter graphs) in no time. By the end of this book, you will have mastered the techniques necessary to successfully visualize data and will be ready to use D3 to transform any data into an engaging and sophisticated visualization. Style and approach This book follows a tutorial-based approach in teaching the world's most powerful data visualization library, D3. |
| financial times visual vocabulary: Hands-On Data Visualization Jack Dougherty, Ilya Ilyankou, 2021-03-11 Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub. Hands-On Data Visualization takes you step-by-step through tutorials, real-world examples, and online resources. This practical guide is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required. Build interactive charts and maps and embed them in your website Understand the principles for designing effective charts and maps Learn key data visualization concepts to help you choose the right tools Convert and transform tabular and spatial data to tell your data story Edit and host Chart.js, Highcharts, and Leaflet map code templates on GitHub Learn how to detect bias in charts and maps produced by others |
| financial times visual vocabulary: The Village Effect Susan Pinker, 2014-08-26 In her surprising, entertaining, and persuasive new book, award-winning author and psychologist Susan Pinker shows how face-to-face contact is crucial for learning, happiness, resilience, and longevity. From birth to death, human beings are hardwired to connect to other human beings. Face-to-face contact matters: tight bonds of friendship and love heal us, help children learn, extend our lives, and make us happy. Looser in-person bonds matter, too, combining with our close relationships to form a personal “village” around us, one that exerts unique effects. Not just any social networks will do: we need the real, in-the-flesh encounters that tie human families, groups of friends, and communities together. Marrying the findings of the new field of social neuroscience with gripping human stories, Susan Pinker explores the impact of face-to-face contact from cradle to grave, from city to Sardinian mountain village, from classroom to workplace, from love to marriage to divorce. Her results are enlightening and enlivening, and they challenge many of our assumptions. Most of us have left the literal village behind and don’t want to give up our new technologies to go back there. But, as Pinker writes so compellingly, we need close social bonds and uninterrupted face-time with our friends and families in order to thrive—even to survive. Creating our own “village effect” makes us happier. It can also save our lives. Praise for The Village Effect “The benefits of the digital age have been oversold. Or to put it another way: there is plenty of life left in face-to-face, human interaction. That is the message emerging from this entertaining book by Susan Pinker, a Canadian psychologist. Citing a wealth of research and reinforced with her own arguments, Pinker suggests we should make an effort—at work and in our private lives—to promote greater levels of personal intimacy.”—Financial Times “Drawing on scores of psychological and sociological studies, [Pinker] suggests that living as our ancestors did, steeped in face-to-face contact and physical proximity, is the key to health, while loneliness is ‘less an exalted existential state than a public health risk.’ That her point is fairly obvious doesn’t diminish its importance; smart readers will take the book out to a park to enjoy in the company of others.”—The Boston Globe “A hopeful, warm guide to living more intimately in an disconnected era.”—Publishers Weekly “A terrific book . . . Pinker makes a hardheaded case for a softhearted virtue. Read this book. Then talk about it—in person!—with a friend.”—Daniel H. Pink, New York Times bestselling author of Drive and To Sell Is Human “What do Sardinian men, Trader Joe’s employees, and nuns have in common? Real social networks—though not the kind you’ll find on Facebook or Twitter. Susan Pinker’s delightful book shows why face-to-face interaction at home, school, and work makes us healthier, smarter, and more successful.”—Charles Duhigg, New York Times bestselling author of The Power of Habit: Why We Do What We Do in Life and Business “Provocative and engaging . . . Pinker is a great storyteller and a thoughtful scholar. This is an important book, one that will shape how we think about the increasingly virtual world we all live in.”—Paul Bloom, author of Just Babies: The Origins of Good and Evil From the Hardcover edition. |
| financial times visual vocabulary: Better Presentations Jonathan Schwabish, 2016-11-15 Whether you are a university professor, researcher at a think tank, graduate student, or analyst at a private firm, chances are that at some point you have presented your work in front of an audience. Most of us approach this task by converting a written document into slides, but the result is often a text-heavy presentation saddled with bullet points, stock images, and graphs too complex for an audience to decipher—much less understand. Presenting is fundamentally different from writing, and with only a little more time, a little more effort, and a little more planning, you can communicate your work with force and clarity. Designed for presenters of scholarly or data-intensive content, Better Presentations details essential strategies for developing clear, sophisticated, and visually captivating presentations. Following three core principles—visualize, unify, and focus—Better Presentations describes how to visualize data effectively, find and use images appropriately, choose sensible fonts and colors, edit text for powerful delivery, and restructure a written argument for maximum engagement and persuasion. With a range of clear examples for what to do (and what not to do), the practical package offered in Better Presentations shares the best techniques to display work and the best tactics for winning over audiences. It pushes presenters past the frustration and intimidation of the process to more effective, memorable, and persuasive presentations. |
| financial times visual vocabulary: Data Science Quick Reference Manual Analysis and Visualization Mario A. B. Capurso, This work follows the 2021 curriculum of the Association for Computing Machinery for specialists in Data Sciences, with the aim of producing a manual that collects notions in a simplified form, facilitating a personal training path starting from specialized skills in Computer Science or Mathematics or Statistics. It has a bibliography with links to quality material but freely usable for your own training and contextual practical exercises. Second of a series of books, it covers methodological aspects, analysis and visualization. It describes the CRISP DM methodology, the working phases, the success criteria, the languages and the environments that can be used, the application libraries. Since this book uses Orange for the application aspects, its installation and widgets are described. In visualization, historical notes are made, and next the book describes the characteristics of an effective visualization, the types of messages that can be conveyed, the Grammar of Graphics, the use of a graph and a dashboard, the software and libraries that can be used, the role and use of color. 55 types of graphs are then analyzed, reporting meaning, use, examples and visual dimensions also with a vocabulary of graphs and summary tables. Examples are given in Orange and the possible use of Python with Orange is explained. Visualization-based inference is discussed, exploratory and confirmatory analysis is defined and techniques are reported. The book is accompanied by supporting material and it is possible to download the project samples in Orange and sample data. |
| financial times visual vocabulary: Research Methods for Sport Management James Skinner, Aaron C.T. Smith, Daniel Read, Lauren M. Burch, Jacqueline Mueller, 2024-07-10 Now in a fully revised and updated second edition, Research Methods for Sport Management provides a complete introduction to qualitative, quantitative, and mixed methods for sport management students and practitioners. Full of real-world case studies, data, and examples, and including international perspectives throughout this book to help the reader understand the challenges of research in different social and cultural contexts, this book links theory to practice, highlighting the importance of research skills in the contemporary sport industry. This book outlines an eight-step research framework that makes the research process easy to understand and that can be followed by beginners and built upon by more advanced researchers. It covers the full research process from research design and literature review to data analysis and report writing, with a strong emphasis throughout this book on new digital, online, and social media methods. This new edition includes extended coverage of topics such as research ethics, gender in research, intersectional research, Web 3.0, data visualization, research impact, and advanced statistical techniques, and considers the differing requirements of sport-related research across the private, public, and not-for-profit sectors. With improved features to enhance teaching and learning, including a research f low chart, review questions, topical case studies, and PowerPoint slides, this is an essential textbook for any research methods course taken as part of a degree course in sport business and management, sport development, or sport marketing, and an invaluable toolkit for any managers, leaders, or analysts working in the sport industry. |
| financial times visual vocabulary: Cynical Theories Helen Pluckrose, James A. Lindsay, 2020-05-05 Wall Street Journal, USA Today, and Publishers Weekly Bestseller! Times, Sunday Times, and Financial Times Book-of-the-Year Selection! Have you heard that language is violence and that science is sexist? Have you read that certain people shouldn't practice yoga or cook Chinese food? Or been told that being obese is healthy, that there is no such thing as biological sex, or that only white people can be racist? Are you confused by these ideas, and do you wonder how they have managed so quickly to challenge the very logic of Western society? In this probing and intrepid volume, Helen Pluckrose and James Lindsay document the evolution of the dogma that informs these ideas, from its coarse origins in French postmodernism to its refinement within activist academic fields. Today this dogma is recognizable as much by its effects, such as cancel culture and social-media dogpiles, as by its tenets, which are all too often embraced as axiomatic in mainstream media: knowledge is a social construct; science and reason are tools of oppression; all human interactions are sites of oppressive power play; and language is dangerous. As Pluckrose and Lindsay warn, the unchecked proliferation of these anti-Enlightenment beliefs present a threat not only to liberal democracy but also to modernity itself. While acknowledging the need to challenge the complacency of those who think a just society has been fully achieved, Pluckrose and Lindsay break down how this often-radical activist scholarship does far more harm than good, not least to those marginalized communities it claims to champion. They also detail its alarmingly inconsistent and illiberal ethics. Only through a proper understanding of the evolution of these ideas, they conclude, can those who value science, reason, and consistently liberal ethics successfully challenge this harmful and authoritarian orthodoxy—in the academy, in culture, and beyond. |
| financial times visual vocabulary: Building Science Graphics Jen Christiansen, 2022-12-09 Building Science Graphics: An illustrated guide to communicating science through diagrams and visualizations is a practical guide for anyone—regardless of previous design experience and preferred drawing tools—interested in creating science-centric illustrated explanatory diagrams. Starting with a clear introduction to the concept of information graphics and their role in contemporary science communication, it then outlines a process for creating graphics using evidence-based design strategies. The heart of the book is composed of two step-by-step graphical worksheets, designed to help jump-start any new project. This is both a textbook and a practical reference for anyone that needs to convey scientific information in an illustrated form for articles, poster presentations, slide shows, press releases, blog posts, social media posts and beyond. |
| financial times visual vocabulary: 金融時報首席專家的資料視覺化聖經 艾倫‧史密斯(Alan Smith), 2023-06-01 ◆《金融時報》年度精選最佳書籍 ◆《親愛的臥底經濟學家》提姆‧哈福特（Tim Harford）推薦 ▂▃▄▅▆▇████████████▇▆▅▄▃▂ 獨家公開！超過200張全彩精美示例 頂尖商業媒體的數據呈現技術 《金融時報》首席視覺化專家， 讓你想說的話更有說服力！ ▂▃▄▅▆▇████████████▇▆▅▄▃▂ Tableau、PowerBI等視覺化軟體越來越紅， AI時代，資料視覺化是企業不可或缺的未來趨勢 如何讓人一眼看懂數據代表的意義？ 如何讓圖表為你的企劃加分？ 如何透過視覺化說服、甚至讓人採取行動？ 再精美的圖表，只要不能說對故事，就會變得毫無作用， 金融時報首席專家，教你把資料的力量發揮到極致！ 這本書將幫助你： ‧更加理解不同類型的圖表、圖形和表格，以及如何加以解析 ‧識別數據背後的真相 ‧了解如何將訊息用最佳化的視覺效果呈現 ‧打造出讓人們能夠參與、理解和採取行動的視覺圖表 ‧《金融時報》內部獨家視覺化辭典 本書將介紹九大最常見類型的圖表： ‧呈現量的比較 ‧呈現時間變化 ‧呈現相關性 ‧呈現分布 ‧呈現流向 ‧呈現排序 ‧呈現離差 ‧呈現部分與整體 ‧呈現空間 從股價漲跌到選舉得票數，超過200個經典圖表成功／失敗案例， 告訴你怎樣的圖表能攫住人心，怎樣的圖表會被棄如敝屣， 從教師、報章編輯、自媒體經營者到任何需要整理資訊的上班族必讀！ |
| financial times visual vocabulary: A Visual Dictionary of Architecture Francis D. K. Ching, 2011-09-06 The classic, bestselling reference on architecture now revised and expanded! An essential one-volume reference of architectural topics using Francis D.K. Ching's signature presentation. It is the only dictionary that provides concise, accurate definitions illustrated with finely detailed, hand-rendered drawings. From Arch to Wood, every concept, technology, material and detail important to architects and designers are presented in Ching's unique style. Combining text and drawing, each term is given a minimum double-page spread on large format trim size, so that the term can be comprehensively explored, graphically showing relations between concepts and sub-terms A comprehensive index permits the reader to locate any important word in the text. This long-awaited revision brings the latest concepts and technology of 21st century architecture, design and construction to this classic reference work It is sure to be by the side of and used by any serious architect or designer, students of architecture, interior designers, and those in construction. |
| financial times visual vocabulary: The Age of A.I. Henry A Kissinger, Eric Schmidt, Daniel Huttenlocher, 2021-09-14 Artificial Intelligence (AI) is transforming human society fundamentally and profoundly. Not since the Enlightenment and the Age of Reason have we changed how we approach knowledge, politics, economics, even warfare. Three of our most accomplished and deep thinkers come together to explore what it means for us all. An A.I. that learned to play chess discovered moves that no human champion would have conceived of. Driverless cars edge forward at red lights, just like impatient humans, and so far, nobody can explain why it happens. Artificial intelligence is being put to use in sports, medicine, education, and even (frighteningly) how we wage war. In this book, three of our most accomplished and deep thinkers come together to explore how A.I. could affect our relationship with knowledge, impact our worldviews, and change society and politics as profoundly as the ideas of the Enlightenment. |
| financial times visual vocabulary: Data Science Quick Reference Manual – Methodological Aspects, Data Acquisition, Management and Cleaning Mario A. B. Capurso, This work follows the 2021 curriculum of the Association for Computing Machinery for specialists in Data Sciences, with the aim of producing a manual that collects notions in a simplified form, facilitating a personal training path starting from specialized skills in Computer Science or Mathematics or Statistics. It has a bibliography with links to quality material but freely usable for your own training and contextual practical exercises. First of a series of books, it covers methodological aspects, data acquisition, management and cleaning. It describes the CRISP DM methodology, the working phases, the success criteria, the languages and the environments that can be used, the application libraries. Since this book uses Orange for the application aspects, its installation and widgets are described. Dealing with data acquisition, the book describes data sources, the acceleration techniques, the discretization methods, the security standards, the types and representations of the data, the techniques for managing corpus of texts such as bag-of-words, word-count , TF-IDF, n-grams, lexical analysis, syntactic analysis, semantic analysis, stop word filtering, stemming, techniques for representing and processing images, sampling, filtering, web scraping techniques. Examples are given in Orange. Data quality dimensions are analysed, and then the book considers algorithms for entity identification, truth discovery, rule-based cleaning, missing and repeated value handling, categorical value encoding, outlier cleaning, and errors, inconsistency management, scaling, integration of data from various sources and classification of open sources, application scenarios and the use of databases, datawarehouses, data lakes and mediators, data schema mapping and the role of RDF, OWL and SPARQL, transformations. Examples are given in Orange. The book is accompanied by supporting material and it is possible to download the project samples in Orange and sample data. |
| financial times visual vocabulary: People Analytics. Big Data al servicio de los recursos humanos Emilio Soria-Olivas, Hector Casado Caballo, Antonio Martínez, 2024-06-13 Descubra el futuro del análisis de datos en la gestión de recursos humanos con este innovador libro. Se ofrece una ventaja única al combinar la experiencia de autores especializados tanto en People Analytics como en ciencia de datos, proporcionando un enfoque multidimensional y práctico que es esencial en el campo actual. Cada capítulo del libro es una ventana a un caso real de People Analytics, detallando no solo el problema y su contexto, sino también la metodología analítica aplicada para resolverlo. Esta estructura facilita la comprensión y aplicación de técnicas avanzadas en situaciones cotidianas del mundo real. Utilizando Orange Data Mining, una herramienta de vanguardia conocida por su facilidad de uso y compatibilidad con todas las plataformas, se demuestra cómo implementar soluciones de análisis de datos de forma sencilla y efectiva, sin necesidad de conocimientos previos de programación. La inclusión en el libro de los conjuntos de datos y programas desarrollados garantiza una experiencia de aprendizaje interactiva y aplicable. Este libro es el recurso perfecto tanto para cursos académicos como para profesionales de recursos humanos que buscan introducirse o profundizar en el campo de People Analytics. Si su objetivo es liderar la transformación en la gestión de talento a través del análisis de datos, este libro será su mejor aliado. Abrace el cambio y empodere su organización con las herramientas y conocimientos que ofrece esta obra. Desde la web del libro podrá descargar los conjuntos de datos y programas utilizados en el libro. |
| financial times visual vocabulary: BIﾂｰﾙを使ったﾃﾞｰﾀ分析のﾎﾟｲﾝﾄ 黒木賢一, 下山輝昌, 2023-07 なぜBIツールをうまく活用できないんだろう?考え方・思考の回し方を学べばうまくいく!データを扱うビジネスに携わる全ての人に!“データ人材”必読のBIツールの教科書!!ロジックツリーの基本、グラフ作成の基本を身に付ける。より詳細化する考え方を身に付け、施策につなげる。ターゲットをさらに深堀りし、ダッシュボードを作成。無償のBIツールTableau Publicでデータ分析!! |
| financial times visual vocabulary: Hands-On Data Visualization Jack Dougherty, Ilya Ilyankou, 2021-04-30 Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public. You'll also gradually learn how to edit open source code templates like Chart.js, Highcharts, and Leaflet on GitHub. Hands-On Data Visualization for All takes you step-by-step through tutorials, real-world examples, and online resources. This hands-on resource is ideal for students, nonprofit organizations, small business owners, local governments, journalists, academics, and anyone who wants to take data out of spreadsheets and turn it into lively interactive stories. No coding experience is required. Build interactive charts and maps and embed them in your website Understand the principles for designing effective charts and maps Learn key data visualization concepts to help you choose the right tools Convert and transform tabular and spatial data to tell your data story Edit and host Chart.js, Highcharts, and Leaflet map code templates on GitHub Learn how to detect bias in charts and maps produced by others |
| financial times visual vocabulary: 商業大數據的視覺化設計與Power BI實作應用(電子書) 温志皓、申元洪、 劉育津, 2024-09-16 世新大學校長 陳清河 ／ 國立中央大學副校長 許秉瑜 ～誠摯推薦～ 【中華企業資源規劃學會 視覺化軟體應用師認證教材指定用書】 現在是一個大數據無處不在的年代，無論是企業或個人，建立一個快速解讀資料的能力，顯得相當實用且重要。其中，資料視覺化就是一個備受關注且重視的面向。用視覺化的方式來呈現資料的內容，能夠讓決策者更容易理解，執行者能更輕易的利用圖表與他人進行溝通。因此，資料視覺化的應用已經是許多企業相當看重的大數據分析技術之一。 然而，圖表的類別龐雜，如何選擇適切的圖表來忠實呈現資料，卻是操作者的困擾。因此，本書將資料視覺化的圖形予以整理及分類，藉由各章的說明、介紹、優劣比較與繪製建議，搭配企業個案資料來實際操作，減少讀者天馬行空的想像。 目前坊間資料視覺化的書籍多以軟體功能的介紹與操作為主，本書則是以不同應用類型的視覺化圖表為重點，搭配Power BI進行教學與解說，期待讓讀者在未來的應用上能夠更為得心應手。 最後，本書設計了一個整合的應用，利用企業的資料來進行實戰。透過資料視覺化的相關整合應用，去解讀企業營運時的狀態與樣貌，進而部署儀表板，提供即時決策參考。 #碁峰資訊 GOTOP |
| financial times visual vocabulary: The New York Times Magazine , 2002 |
| financial times visual vocabulary: International Organizations and Research Methods Fanny Badache, Leah R Kimber, Lucile Maertens, 2023-08-24 Scholars have studied international organizations (IOs) in many disciplines, thus generating important theoretical developments. Yet a proper assessment and a broad discussion of the methods used to research these organizations are lacking. Which methods are being used to study IOs and in what ways? Do we need a specific methodology applied to the case of IOs? What are the concrete methodological challenges when doing research on IOs? International Organizations and Research Methods: An Introduction compiles an inventory of the methods developed in the study of IOs under the five headings of Observing, Interviewing, Documenting, Measuring, and Combining. It does not reconcile diverging views on the purpose and meaning of IO scholarship, but creates a space for scholars and students embedded in different academic traditions to reflect on methodological choices and the way they impact knowledge production on IOs. |
| financial times visual vocabulary: Tableauﾃﾞｰﾀ分析〜実践から活用まで〜 小野泰輔, 黒木賢一, 長野克也, 2018-08 浸透するデータ分析ツールTableau(タブロー)の実践的な解説書。 |
| financial times visual vocabulary: Visual Thinking Strategies Philip Yenawine, 2013-10-01 2014 Outstanding Academic Title, Choice What’s going on in this picture? With this one question and a carefully chosen work of art, teachers can start their students down a path toward deeper learning and other skills now encouraged by the Common Core State Standards. The Visual Thinking Strategies (VTS) teaching method has been successfully implemented in schools, districts, and cultural institutions nationwide, including bilingual schools in California, West Orange Public Schools in New Jersey, and the San Francisco Museum of Modern Art. It provides for open-ended yet highly structured discussions of visual art, and significantly increases students’ critical thinking, language, and literacy skills along the way. Philip Yenawine, former education director of New York’s Museum of Modern Art and cocreator of the VTS curriculum, writes engagingly about his years of experience with elementary school students in the classroom. He reveals how VTS was developed and demonstrates how teachers are using art—as well as poems, primary documents, and other visual artifacts—to increase a variety of skills, including writing, listening, and speaking, across a range of subjects. The book shows how VTS can be easily and effectively integrated into elementary classroom lessons in just ten hours of a school year to create learner-centered environments where students at all levels are involved in rich, absorbing discussions. |
| financial times visual vocabulary: Visualización de datos: Periodismo y Comunicación en la era de la información visual Lionel Brossi, 2022-08-04 El siglo XXI vino acompañado con las oportunidades y desafíos de una era marcada por la saturación de la información. Sin embargo, la mayor cantidad de información no se tradujo necesariamente en una ciudadanía más informada y participativa. El desarrollo de las tecnologías de la información, la democratización de los datos y la hiperconectividad de las audiencias nos obligan a pensar sobre las distintas maneras en las que la ciudadanía se puede beneficiar de un mundo digital que todavía no resulta del todo transparente. Por eso este libro se propone presentar un panorama sobre diversos casos y usos de visualización de la información en los medios de comunicación y en otras organizaciones preocupadas de la comunicación pública, política y social. Visualización de datos: Periodismo y Comunicación en la era de la información visual, ofrece, asimismo, las bases para pensar de qué manera los ciudadanos pueden demandar, colaborar y asistir en el desarrollo de un Estado que impulse leyes que apunten a la probidad y transparencia de sus actividades. Desde el trabajo de periodistas en medios de comunicación hasta organizaciones gubernamentales, los autores que contribuyen en este volumen analizan casos en donde la visualización de la información ha jugado un rol clave en los procesos democráticos de una sociedad amenazada por la abundancia de información falsa, así como las oportunidades y desafíos que se presentan. |
| financial times visual vocabulary: Statistics for Empowerment and Social Engagement Jim Ridgway, 2023-03-10 “This book is a remarkable achievement” Gerd Gigerenzer This book offers practical approaches to working in a new field of knowledge - Civic Statistics - which sets out to engage with, and overcome well documented and long-standing problems in teaching quantitative skills. The book includes 23 peer-reviewed chapters, written in coordination by an international group of experts from ten countries. The book aims to support and enhance the work of teachers and lecturers working both at the high school and tertiary (university) levels. It is designed to promote and improve the critical understanding of quantitative evidence relevant to burning social issues – such as epidemics, climate change, poverty, migration, natural disasters, inequality, employment, and racism. Effective citizen engagement with social issues requires active participation and a broad understanding of data and statistics about societal issues. However, many statistics curricula are not designed to teach relevant skills nor to improve learners' statistical literacy. Evidence about social issues is provided to the public via print and digital media, official statistics offices, and other information channels, and a great deal of data is accessible both as aggregated summaries and as individual records. Chapters illustrate the approaches needed to teach and promote the knowledge, skills, dispositions, and enabling processes associated with critical understanding of Civic Statistics presented in many forms. These include: statistical analysis of authentic multivariate data; use of dynamic data visualisations; deconstructing texts about the social and economic well-being of societies and communities. Chapters discuss: the development of curricula and educational resources; use of emerging technologies and visualizations; preparation of teachers and teaching approaches; sources for relevant datasets and rich texts about Civic Statistics; ideas regarding future research, assessment, collaborations between different stakeholders; and other systemic issues. |
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