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  • User Story Mapping
    User Story Mapping

    User story mapping is a valuable tool for software development, once you understand why and how to use it.This insightful book examines how this often misunderstood technique can help your team stay focused on users and their needs without getting lost in the enthusiasm for individual product features.Author Jeff Patton shows you how changeable story maps enable your team to hold better conversations about the project throughout the development process.Your team will learn to come away with a shared understanding of what you're attempting to build and why.Get a high-level view of story mapping, with an exercise to learn key concepts quickly Understand how stories really work, and how they come to life in Agile and Lean projects Dive into a story's lifecycle, starting with opportunities and moving deeper into discovery Prepare your stories, pay attention while they're built, and learn from those you convert to working software

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  • Data Game : The Story of Liverpool FC's Analytics Revolution
    Data Game : The Story of Liverpool FC's Analytics Revolution

    Data Game: The Story of Liverpool FC's Analytics Revolution explores the lesser-known story of how Liverpool rose to greatness in the 21st century with the help of big data. The Anfield institution is an industry leader in the field of data science, but little is known about how Liverpool's relationship with numbers began, and how the marriage of data and football helped to deliver wins on the pitch by impacting tactics and recruitment. Upon their takeover, Fenway Sports Group set out to transform Liverpool into a data-driven organisation, but there is a story behind why that vision took around a decade to become a reality. From errors in the transfer market, to suboptimal playing styles, to conflicting egos, Liverpool jumped many hurdles before achieving their ambitions under Jürgen Klopp, with the German surrounded by unsung heroes who shunned the limelight.This is the tale of how Liverpool gained an edge over their wealthier rivals by getting smart.

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  • Atlas of Finance : Mapping the Global Story of Money
    Atlas of Finance : Mapping the Global Story of Money

    A unique illustrated exploration of the development of finance that combines data from every part of the world and covers five thousand years of history “The book is a lot of fun.Data-fixated readers will enjoy unpicking its main content: a series of elegantly produced maps, graphs and other visualisations.These are eclectic in scope and ambitious in intent.”—Jonathan Guthrie, Financial Times From the emergence of money in the ancient world to today’s interconnected landscape of high-frequency trading and cryptocurrency, the story of finance has always taken place on an international stage.Finance is one of the most globalized and networked of human activities, and one of the most important social technologies ever invented. This volume, the first visually based book dedicated to finance, uses graphics and maps to bring the complex and abstract world of finance down to earth, showing how geography is fundamental for understanding finance, and vice versa.It illuminates the people—including Adam Smith, Karl Marx, and John Maynard Keynes—who have shaped our thinking about global finance; brings to life the ways that place-specific histories, laws, regulations, and institutions influence finance; shows how finance relates to innovation, globalization, and environmental change; and details how finance plays a key part in drawing the landscape of uneven development, inequality, and instability. The Atlas of Finance, with word and image, will change the way you view both your money and your world.

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  • Data Analytics & Visualization All-in-One For Dummies
    Data Analytics & Visualization All-in-One For Dummies

    Install data analytics into your brain with this comprehensive introduction Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place.Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling.Data analytics professionals are highly sought after these days, and this book will put you on the path to becoming one.You’ll learn all about sources of data like data lakes, and you’ll discover how to extract data using tools like Microsoft Power BI, organize the data in Microsoft Excel, and visually present the data in a way that makes sense using a Tableau.You’ll even get an intro to the Python, R, and SQL coding needed to take your data skills to a new level.With this Dummies guide, you’ll be well on your way to becoming a priceless data jockey. Mine data from data sourcesOrganize and analyze data Use data to tell a story with TableauExpand your know-how with Python and R New and novice data analysts will love this All-in-One reference on how to make sense of data.Get ready to watch as your career in data takes off.

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  • What is spatial visualization ability?

    Spatial visualization ability refers to the capacity to mentally manipulate and comprehend spatial relationships between objects. Individuals with strong spatial visualization skills can easily visualize and understand how objects relate to each other in space, such as rotating or manipulating shapes in their mind. This ability is crucial in various fields such as engineering, architecture, and mathematics, as it allows individuals to solve complex problems and understand spatial concepts more effectively. Improving spatial visualization ability can enhance problem-solving skills and overall cognitive performance.

  • Is spatial visualization important for engineers?

    Yes, spatial visualization is important for engineers as it allows them to mentally manipulate and understand complex 3D objects and structures. Engineers often need to design and analyze various components and systems, and spatial visualization skills help them to conceptualize and communicate their ideas effectively. Whether it's designing a new product, creating blueprints for a building, or solving complex problems, spatial visualization is a crucial skill that allows engineers to think critically and innovate in their field.

  • Can one improve their spatial visualization skills?

    Yes, it is possible to improve spatial visualization skills through practice and training. Engaging in activities such as puzzles, building models, and playing spatial reasoning games can help develop these skills. Additionally, practicing mental rotation exercises and regularly challenging oneself with spatial tasks can also contribute to improvement. With consistent effort and dedication, individuals can enhance their spatial visualization abilities over time.

  • What are problems with spatial visualization skills?

    Some problems with spatial visualization skills include difficulty in understanding and interpreting maps, graphs, and diagrams. Individuals with poor spatial visualization skills may struggle with tasks such as navigating through unfamiliar environments, understanding 3D objects, and mentally rotating objects. This can impact their performance in subjects such as math, science, and engineering, as well as in everyday activities such as driving and assembling furniture. Additionally, poor spatial visualization skills can lead to frustration and decreased confidence in one's abilities.

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  • Spatial Analysis with R : Statistics, Visualization, and Computational Methods
    Spatial Analysis with R : Statistics, Visualization, and Computational Methods

    In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R.The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis.Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes.New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data miningThis second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences.

    Price: 105.00 £ | Shipping*: 0.00 £
  • Spatial Analysis with R : Statistics, Visualization, and Computational Methods
    Spatial Analysis with R : Statistics, Visualization, and Computational Methods

    In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R.The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis.Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes.New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data miningThis second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences.

    Price: 45.99 £ | Shipping*: 0.00 £
  • Crime Mapping and Spatial Data Analysis using R
    Crime Mapping and Spatial Data Analysis using R

    Crime mapping and analysis sit at the intersection of geocomputation, data visualisation and cartography, spatial statistics, environmental criminology, and crime analysis.This book brings together relevant knowledge from these fields into a practical, hands-on guide, providing a useful introduction and reference material for topics in crime mapping, the geography of crime, environmental criminology, and crime analysis.It can be used by students, practitioners, and academics alike, whether to develop a university course, to support further training and development, or to hone skills in self-teaching R and crime mapping and spatial data analysis.It is not an advanced statistics textbook, but rather an applied guide and later useful reference books, intended to be read and for readers to practice the learnings from each chapter in sequence.In the first part of this volume we introduce key concepts for geographic analysis and representation and provide the reader with the foundations needed to visualise spatial crime data.We then introduce a series of tools to study spatial homogeneity and dependence.A key focus in this section is how to visualise and detect local clusters of crime and repeat victimisation.The final chapters introduce the use of basic spatial models, which account for the distribution of crime across space.In terms of spatial data analysis the focus of the book is on spatial point pattern analysis and lattice or area data analysis.

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  • Spatial Epidemiological Approaches in Disease Mapping and Analysis
    Spatial Epidemiological Approaches in Disease Mapping and Analysis

    Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips readers with skills to prepare health-related data in the proper format, process these data using relevant functions and software, and display the results as mapped or statistical summaries.Describing the wide range of available methods and key GIS concepts for spatial epidemiology, this book illustrates the utilities of the software using real-world data.Additional topics include geographic data models, address matching, geostatistical analysis, universal kriging, point pattern analysis, kernel density, spatio-temporal display, and disease surveillance.

    Price: 45.99 £ | Shipping*: 0.00 £
  • What is the function of spatial visualization ability?

    Spatial visualization ability allows individuals to mentally manipulate and understand spatial relationships between objects. This ability is crucial in fields such as engineering, architecture, and design, where individuals need to visualize and manipulate complex 3D objects and structures. It also plays a key role in tasks such as navigation, map reading, and understanding geometric concepts. Overall, spatial visualization ability is important for problem-solving, creativity, and understanding the physical world.

  • What does it mean if someone lacks spatial visualization skills?

    If someone lacks spatial visualization skills, it means that they have difficulty mentally manipulating and understanding spatial relationships between objects and shapes. This can manifest as challenges in tasks such as reading maps, understanding 3D objects, or visualizing how objects fit together in space. People with this difficulty may struggle with activities such as assembling furniture, reading graphs, or understanding geometric concepts. It's important to note that lacking spatial visualization skills does not indicate a lack of intelligence, but rather a specific cognitive challenge in this area.

  • Can you retell the story from Story 6?

    In Story 6, a young girl named Lily finds a mysterious key in her backyard and sets out on an adventure to discover what it unlocks. She encounters various obstacles and meets new friends along the way. Eventually, she unlocks a hidden door in an old tree, leading her to a magical garden where she learns valuable lessons about friendship and bravery.

  • What is the background story for Laura's story?

    Laura's story is about a young woman who grew up in a small town and always dreamed of traveling the world. However, she was unable to pursue her dreams due to family responsibilities and financial constraints. As she grew older, Laura found herself feeling stuck and unfulfilled, longing for adventure and new experiences. This led her to make a bold decision to leave everything behind and embark on a journey to discover herself and the world around her.

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