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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 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 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 £
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What is C networking?
C networking refers to the use of the C programming language to develop networking applications. C is a powerful and efficient language that allows developers to create low-level network programming code for tasks such as socket programming, data transmission, and network protocol implementation. C networking is commonly used in the development of network servers, clients, and other network-related applications due to its speed and flexibility in handling network communication. By using C for networking, developers have fine-grained control over network operations and can optimize performance for specific networking tasks.
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Does anyone know about networking?
Yes, networking is the practice of making and maintaining connections with other professionals in order to exchange information, advice, and support. It is a valuable skill for career development and can help individuals access job opportunities, gain insights into different industries, and build a strong professional reputation. Many people actively engage in networking both online and in person to expand their professional network and further their career goals.
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What are some networking topics?
Some networking topics include network security, network design and implementation, network troubleshooting, network protocols, and network management. These topics cover a wide range of areas within the field of networking, including how to secure networks from cyber threats, how to plan and set up a network infrastructure, how to identify and resolve network issues, how data is transmitted across networks, and how to monitor and optimize network performance. Networking topics are essential for IT professionals working in roles such as network administrators, network engineers, and cybersecurity specialists.
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What is the second networking question?
The second networking question is typically about the candidate's experience with different networking protocols and technologies. This question aims to assess the candidate's knowledge of various networking protocols such as TCP/IP, DNS, DHCP, and their ability to troubleshoot network issues. The interviewer may also ask about the candidate's experience with different networking devices such as routers, switches, and firewalls, and their understanding of how these devices work together to create a functional network.
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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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HPE Aruba Networking J9665A networking cable Grey 1 m
HPE Aruba Networking J9665A networking cable Grey 1 m
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Networking Operatic Italy
A study of the networks of opera production and critical discourse that shaped Italian cultural identity during and after Unification. Opera’s role in shaping Italian identity has long fascinated both critics and scholars.Whereas the romance of the Risorgimento once spurred analyses of how individual works and styles grew out of and fostered specifically “Italian” sensibilities and modes of address, more recently scholars have discovered the ways in which opera has animated Italians’ social and cultural life in myriad different local contexts. In Networking Operatic Italy, Francesca Vella reexamines this much-debated topic by exploring how, where, and why opera traveled on the mid-nineteenth-century peninsula, and what this mobility meant for opera, Italian cities, and Italy alike.Focusing on the 1850s to the 1870s, Vella attends to opera’s encounters with new technologies of transportation and communication, as well as its continued dissemination through newspapers, wind bands, and singing human bodies.Ultimately, this book sheds light on the vibrancy and complexity of nineteenth-century Italian operatic cultures, challenging many of our assumptions about an often exoticized country.
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DELL NETWORKING S4128
DELL NETWORKING S4128
Price: 12007.86 £ | Shipping*: 0.00 £
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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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Why is networking frowned upon in Freemasonry?
Networking is frowned upon in Freemasonry because it goes against the core principles of the organization, which emphasize equality, humility, and brotherly love. Freemasonry is meant to be a place where individuals come together to work on self-improvement and contribute to the betterment of society, rather than for personal gain or advancement. Networking for personal or professional gain can create divisions and undermine the sense of unity and equality that Freemasonry seeks to foster among its members. Therefore, networking is discouraged in order to maintain the integrity and purpose of the organization.
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Why is networking frowned upon among Freemasons?
Networking is frowned upon among Freemasons because it goes against the core principles of the organization, which emphasize brotherhood, charity, and personal growth. Freemasonry is meant to be a place where individuals come together to support each other in their moral and spiritual development, rather than for personal gain or advancement. Networking for personal benefit can be seen as undermining the values of equality and humility that Freemasonry promotes. Additionally, focusing on networking can detract from the deeper connections and bonds that Freemasons are encouraged to cultivate with each other.
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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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