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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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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.
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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.
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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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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.
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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.
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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.
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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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An Introduction to R for Spatial Analysis and Mapping
The ever-expanding availability of spatial data continues to revolutionise research.This book is your go-to guide to getting the most out of handling, mapping and analysing location-based data. Without assuming prior knowledge of GIS, geocomputation or R, this book helps you understand spatial analysis and mapping and develop your programming skills, from learning about scripting and writing functions to point pattern analysis and spatial attribute analysis. The book:Illustrates approaches to analysis on a range of datasets that are new to this edition. Enables you to put your skills into practice with embedded exercises and over 30 self-test questions. Showcases the possibilities of using spatial analysis to explore spatial inequalities. Whether you’re an R novice or experienced user, this book equips upper undergraduates, postgraduates and researchers with the tools needed for spatial data handling and rich analysis.
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Not Anywhere, Just Not
Boy meets Girl, Boy marries Girl, and years later Boy mysteriously disappears in this Gordon Lish–style novel. The boy and the girl have been married for decades, mostly getting along as they go about their lives.But one day, like thousands of people around the world, the boy vanishes, and the girl is left to wait, wonder, and worry.Will he return? Who might she be if she moves on without him?This is a world where every morning the cat gets fed and the coffee gets made, but also one in which God sometimes lives in the garage – she likes to sleep on the freezer – and gigantic words can fall from the sky.Not Anywhere, Just Not cracks open the small dramas of our lives to show the dread and wonder inside all of us. "Ken Sparling is a brilliant writer and this book, like all his books, is a beauty.Sparling chronicles the times I fear most—the moments of loneliness, of loss, of ennui—and somehow makes them seem worthwhile, even wondrous, and often flat-out funny.His work makes life look livable, which makes him a wizard to me." – Derek McCormack, author of Castle Faggot"A gorgeous rendition of the domestic uncanny, Not Anywhere, Just Not is an ostensibly quiet book that slowly and carefully unnerves and unsettles you--both because of its precise swapping out of reality and because of just how familiar it so often seems.All of us, Sparling seems to say, are on the verge of vanishing at any moment." – Brian Evenson, author of Song for the Unraveling of the World
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Not Pop Not Rock
Kim likes pop. Sam likes rock. Sam talks A LOT! Will Sam ever stop? Not Pop Not Rock is a low level phonics reading book.Beautifully illustrated throughout, this 149-word fiction story features a fully decodable text, suitable for struggling teen and adult readers. Not Pop Not Rock uses a carefully limited set of letters and sounds to make up all the words. (For UK schools this relates to Phase 2 of Letters and Sounds, the UK Government's synthetic phonics reading programme.)Not Pop Not Rock is part of Ransom's Neutron Stars, a structured reading programme for teens and adults learning the basics of reading.The series offer progression through ten levels of reading, four phonics and six coloured book bands. More information on the structure of the scheme can be found here.
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Not Left Behind - Be Not Deceived
In the waking of tribulation, the truth begins to prevail and the world swiftly begins to crumble as the end of time rapidly approaches. Emma, Ethan, their children and many of God’s people, flee to the mountains to escape the difficulties and persecution of those against obeying man’s traditions and laws.With the ultimate testing of their faith, Emma and Ethan are faced with challenges, disasters, and the uncertainty of survival as they wait for the return of our Lord.Share with them their love, their loss, and their struggle to keep their faith in a world that has been submerged with evil and disobedience against God’s word.
Price: 10.99 £ | Shipping*: 3.99 £
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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.
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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.
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Why is this mapping not proportional?
This mapping is not proportional because the size of the countries on the map does not accurately represent their actual land area. For example, Greenland appears much larger than it actually is in relation to other countries. This distortion occurs because the map uses the Mercator projection, which distorts the size of land masses as they get further from the equator. As a result, countries near the poles appear much larger than they are in reality.
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Do you not have spatial vision?
As an AI, I do not have physical senses or spatial vision like humans do. I rely on the information provided to me through text input and data processing to generate responses. My capabilities are limited to processing and analyzing text-based information to provide accurate and helpful answers.
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