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Business Analytics Value Chain : Text and Cases
This book is a comprehensive, step-by-step learning guide towards understanding entire value chain of Business Analytics, its inter-related components and hence signifying its role in business decision making in India and globally.It has been written with an interdisciplinary approach that triggers strategic as well as routine thought provoking ideas to cut across data from several business domains globally.This book deals with the end to end journey from planning the approach to a data enriched decision-problem, to communicating results derived from analytics models to clients. Using running cases from all aspects of a business venture (finance, marketing, human resource and operations), the book helps the readers to develop the capabilities of evaluating a business case scenario; understand the business problem; identify the data sources and data availability; logically think through problem solving; use analytics techniques and application software to solve the problem; and be able to interpret the results.Case studies have been carefully designed to represent business scenarios from varied business domains both local and global such that it handholds the students to make informed fact based decisions during collaborative planning, analysing, interpreting and communicating outcomes for data enriched problem scenarios. The book will be useful for students, researchers and instructors from the field of Business Management, Data Analytics, Commerce and Economics.It will also be an indispensable companion to the professional working in the field of data analytics.
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Mapping Texts : Computational Text Analysis for the Social Sciences
Learn how to conduct a robust text analysis project from start to finish--and then do it again.Mining is the dominant metaphor in computational text analysis.When mining texts, the implied assumption is that analysts can find kernels of truth--they just have to sift through the rubbish first.In this book, Dustin Stoltz and Marshall Taylor encourage text analysts to work with a different metaphor in mind: mapping.When mapping texts, the goal is not necessarily to find meaningful needles in the haystack, but instead to create reductions of the text to document patterns.Just like with cartographic maps, though, the type and nature of the textual map is dependent on a range of decisions on the part of the researcher.Creating reproducible workflows is therefore critical for the text analyst. Mapping Texts offers a practical introduction to computational text analysis with step-by-step guides on how to conduct actual text analysis workflows in the R statistical computing environment.The focus is on social science questions and applications, with data ranging from fake news and presidential campaigns to Star Trek and pop stars.The book walks the reader through all facets of a text analysis workflow--from understanding the theories of language embedded in text analysis, all the way to more advanced and cutting-edge techniques. The book will prove useful not only to social scientists, but anyone interested in conducting text analysis projects.
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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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Introduction to Text Analytics : A Guide for Digital Humanities & Social Sciences
This easy-to-follow book will revolutionise how you approach text mining and data analysis as well as equipping you with the tools, and confidence, to navigate complex qualitative data. It can be challenging to effectively combine theoretical concepts with practical, real-world applications but this accessible guide provides you with a clear step-by-step approach. Written specifically for students and early career researchers this pragmatic manual will: • Contextualise your learning with real-world data and engaging case studies. • Encourage the application of your new skills with reflective questions. • Enhance your ability to be critical, and reflective, when dealing with imperfect data. Supported by practical online resources, this book is the perfect companion for those looking to gain confidence and independence whilst using transferable data skills.
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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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On and Off the Page : Mapping Place in Text and Culture
This collection of essays, comprised of research first presented at the seventh annual Louisiana Conference on Literature, Language, and Culture, explores one of the most pervasive, vexing, and alluring concepts in the Humanities, that of place. Including essays which encompass a broad range of research fields and methodologies, from Geography to Cybernetics, it presents a cross-section of approaches aimed revealing the complex cultural machinations behind what once may have seemed a static, one-dimensional topic.Investigations into the function of place as a force in contemporary culture inevitably reveal a long history of the interplay between place and cultural product, between 'context' and 'text'.Just as traditional cultures mythologize sacred spaces, so too has Western culture sanctified its own places through its literature. Imagined places such as Faulker's Yoknapatawpha or Joyce's Dublin become the focus of conferences and festivals; authors' homes, birthplaces, and gravesites are transformed into sites of pilgrimage; locales created for television shows and movies become actual businesses catering to a public for whom the line between fantasy and reality is increasingly blurred; and persisting through the great cultural shifts of the past two hundred years is the popular and romantic notion that words, performances, narratives, and even national identities are always in some way an expression of the places in which they are created and set.With the idea of place foregrounded in so much contemporary discourse, this collection promises to enter into an already lively debate and one which, due to its relevance to where we live and how we make sense of our own "places" within them, does not show any signs of flagging.
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Natural Language Processing in the Real World : Text Processing, Analytics, and Classification
Natural Language Processing in the Real World is a practical guide for applying data science and machine learning to build Natural Language Processing (NLP) solutions.Where traditional, academic-taught NLP is often accompanied by a data source or dataset to aid solution building, this book is situated in the real world where there may not be an existing rich dataset. This book covers the basic concepts behind NLP and text processing and discusses the applications across 15 industry verticals.From data sources and extraction to transformation and modelling, and classic Machine Learning to Deep Learning and Transformers, several popular applications of NLP are discussed and implemented. This book provides a hands-on and holistic guide for anyone looking to build NLP solutions, from students of Computer Science to those involved in large-scale industrial projects.
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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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Mapping Society : The Spatial Dimensions of Social Cartography
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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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What is actually meant by spatial semantics in a narrative text?
Spatial semantics in a narrative text refers to the way in which the physical space and location of events, characters, and objects are described and used to convey meaning. It involves the use of spatial relationships, such as proximity, distance, and orientation, to create a sense of place and to convey information about the characters and their interactions. Spatial semantics can also be used to establish mood, atmosphere, and symbolism within a story, as well as to guide the reader's understanding of the narrative. Overall, spatial semantics in a narrative text helps to shape the reader's perception of the story world and the events that unfold within it.
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Is there an app that can help improve and train one's spatial visualization skills?
Yes, there are several apps available that can help improve and train spatial visualization skills. Apps like Lumosity, Peak, and Spatial IQ are designed to enhance spatial reasoning, mental rotation, and visualization abilities through various exercises and challenges. These apps offer a fun and interactive way to practice and develop spatial skills, which can be beneficial for tasks that require mental manipulation of objects in space, such as engineering, architecture, and mathematics.
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