Trends In Interactive Visualization
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Trends In Interactive Visualization
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Author : Elena Zudilova-Seinstra
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-17
Trends In Interactive Visualization written by Elena Zudilova-Seinstra and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-17 with Computers categories.
II Challenges in Data Mapping Part II deals with one of the most challenging tasks in Interactive Visualization, mapping and teasing out information from large complex datasets and generating visual representations. This section consists of four chapters. Binh Pham, Alex Streit, and Ross Brown provide a comprehensive requirement analysis of information uncertainty visualizations. They examine the sources of uncertainty, review aspects of its complexity, introduce typical models of uncertainty, and analyze major issues in visualization of uncertainty, from various user and task perspectives. Alfred Inselberg examines challenges in the multivariate data analysis. He explains how relations among multiple variables can be mapped uniquely into ?-space subsets having geometrical properties and introduces Parallel Coordinates meth- ology for the unambiguous visualization and exploration of a multidimensional geometry and multivariate relations. Christiaan Gribble describes two alternative approaches to interactive particle visualization: one targeting desktop systems equipped with programmable graphics hardware and the other targeting moderately sized multicore systems using pack- based ray tracing. Finally, Christof Rezk Salama reviews state-of-the-art strategies for the assignment of visual parameters in scientific visualization systems. He explains the process of mapping abstract data values into visual based on transfer functions, clarifies the terms of pre- and postclassification, and introduces the state-of-the-art user int- faces for the design of transfer functions.
Data Visualization Techniques Course
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Author : Brian Smith
language : en
Publisher: THE PUBLISHER
Release Date :
Data Visualization Techniques Course written by Brian Smith and has been published by THE PUBLISHER this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
This book, "Data Visualization Techniques," provides a comprehensive guide to understanding and utilizing various methods of data visualization. The core objective is to teach readers how to effectively represent data through visual elements, enabling them to discover patterns, trends, and insights. The book covers the importance of data visualization, different types of visualizations, and the fundamentals of choosing the right chart and color theory. It also explores popular data visualization tools and software, data analysis techniques, and interactive visualization design. Additionally, the book delves into narrative techniques for data storytelling, geospatial data visualization, time series visualization, dashboards and reporting, and best practices for effective visualization. With real-world case studies and a focus on ethical considerations, this book aims to equip readers with the skills needed to create compelling and insightful visualizations in a range of fields, from business intelligence to social sciences.
Data Visualization Tools For Business Applications
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Author : Muniasamy, M. Anandhavalli
language : en
Publisher: IGI Global
Release Date : 2024-09-13
Data Visualization Tools For Business Applications written by Muniasamy, M. Anandhavalli and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-13 with Computers categories.
In today’s data-driven business landscape, the ability to extract insights and communicate complex information effectively is paramount. Data visualization has emerged as a powerful tool for businesses to make informed decisions, uncover patterns, and present findings in a compelling manner. From executives seeking strategic insights to analysts delving into operational data, the demand for intuitive and informative visualizations spans across all levels of an organization. Data Visualization Tools for Business Applications comprehensively equips professionals with the knowledge and skills necessary to leverage data visualization tools effectively. Through a blend of theory and hands-on case studies, this book explores a wide range of data visualization tools, techniques, and methodologies. Covering topics such as business analytics, cyber security, and financial reporting, this book is an essential resource for business executives and leaders, marketing professionals, data scientists, entrepreneurs, academicians, educators, students, decision-makers and stakeholders, and more.
Human Resource Metrics And Analytics
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Author : Dr. Kanika Garg
language : en
Publisher: Thakur Publication Private Limited
Release Date : 2025-12-11
Human Resource Metrics And Analytics written by Dr. Kanika Garg and has been published by Thakur Publication Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-11 with Art categories.
According to the New Syllabus of ‘Kurukshetra University, Kurukshetra’ based on NEP-2020
Applications Of Big Data In Large And Small Scale Systems
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Author : Goundar, Sam
language : en
Publisher: IGI Global
Release Date : 2021-01-15
Applications Of Big Data In Large And Small Scale Systems written by Goundar, Sam and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-01-15 with Computers categories.
With new technologies, such as computer vision, internet of things, mobile computing, e-governance and e-commerce, and wide applications of social media, organizations generate a huge volume of data and at a much faster rate than several years ago. Big data in large-/small-scale systems, characterized by high volume, diversity, and velocity, increasingly drives decision making and is changing the landscape of business intelligence. From governments to private organizations, from communities to individuals, all areas are being affected by this shift. There is a high demand for big data analytics that offer insights for computing efficiency, knowledge discovery, problem solving, and event prediction. To handle this demand and this increase in big data, there needs to be research on innovative and optimized machine learning algorithms in both large- and small-scale systems. Applications of Big Data in Large- and Small-Scale Systems includes state-of-the-art research findings on the latest development, up-to-date issues, and challenges in the field of big data and presents the latest innovative and intelligent applications related to big data. This book encompasses big data in various multidisciplinary fields from the medical field to agriculture, business research, and smart cities. While highlighting topics including machine learning, cloud computing, data visualization, and more, this book is a valuable reference tool for computer scientists, data scientists and analysts, engineers, practitioners, stakeholders, researchers, academicians, and students interested in the versatile and innovative use of big data in both large-scale and small-scale systems.
Ai And Big Data A Synergistic Approach To Modern Challenges
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Author : Dr.Sudhakar.K
language : en
Publisher: Leilani Katie Publication
Release Date : 2024-11-26
Ai And Big Data A Synergistic Approach To Modern Challenges written by Dr.Sudhakar.K and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-26 with Computers categories.
Dr.Sudhakar.K, Associate Professor & Head, Department of Artificial Intelligence & Data Science, NITTE Meenakshi Institute of Technology, Bangalore, Karnataka, India. Mrs.Ashwini.T.N, Assistant Professor, Department of Computer Science and Engineering, Bangalore Institute of Technology, Bangalore, Karnataka, India. Mrs.Usha.M, Assistant Professor, Department of Computer Science and Engineering, East West Institute of Technology, Bangalore, Karnataka, India. Mrs.Shashikala.AB, Assistant Professor, Department of Artificial Intelligence & Machine Learning, SJB Institute of Technology, Bangalore, Karnataka, India.
Python For Excel Users
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Author : Chi-Chun Chou
language : en
Publisher: CRC Press
Release Date : 2025-10-06
Python For Excel Users written by Chi-Chun Chou and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-06 with Business & Economics categories.
Introduction: Elevate Your Analytics with Python In today’s data-driven world, the ability to efficiently analyze and interpret information is more crucial than ever, especially in the business sector. Python for Excel Users: A Beginner’s Guide is tailored for business students and professionals who are proficient in Microsoft Excel but are ready to embark on their Python journey. As a powerful and versatile programming language, Python has become indispensable in data analysis. This book bridges the gap between Excel and Python by providing parallel exercises that demonstrate how Python can amplify business analytics tasks with unmatched efficiency and flexibility. Through its side-by-side comparisons, interactive Python exercises, and a "teachable moment" approach, this guide offers a unique and intuitive learning experience. By translating familiar Excel tasks into Python’s dynamic and versatile ecosystem, you’ll not only enhance your data analysis skills but also gain confidence in programming. Why Python? Did you know that Python powers cutting-edge technologies like ChatGPT? Indeed, Python forms the foundation of many machine learning algorithms, including large language models (LLMs). Python is more than a programming language; it’s a tool for understanding and shaping the digital world. Despite its advanced capabilities, Python’s simple, readable syntax makes it accessible to everyone – from professional software developers to citizen developers like you. Dubbed the "language of the people," Python is revolutionizing how we approach problem-solving and automation in the modern world. Becoming Tomorrow’s Tech- Savvy Leaders The leaders of tomorrow are not just visionaries – they are innovators who harness the power of technology to drive change and inspire others. This book guides you through different scenarios to help you understand the connections between business questions and analytics steps we are taking. As business students embracing Python, you’re positioning yourselves as future-ready leaders equipped to navigate and excel in the complexities of modern business. Welcome to a journey that will elevate your analytics, expand your technological fluency, and transform you into a tech-savvy leader of the future.
Machine Learning And Data Science For Business Optimization A Practical Guide For Data Driven Decision Making
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Author : Sushira Somavarapu Om Goel
language : en
Publisher: DeepMisti Publication
Release Date : 2025-01-15
Machine Learning And Data Science For Business Optimization A Practical Guide For Data Driven Decision Making written by Sushira Somavarapu Om Goel and has been published by DeepMisti Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-15 with Computers categories.
Machine Learning and Data Science for Business Optimization: A Practical Guide for Data-Driven Decision Making
Data Visualization
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Author : S. Margret Anouncia
language : en
Publisher: Springer Nature
Release Date : 2020-03-03
Data Visualization written by S. Margret Anouncia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-03 with Computers categories.
This book discusses the recent trends and developments in the fields of information processing and information visualization. In view of the increasing amount of data, there is a need to develop visualization techniques to make that data easily understandable. Presenting such approaches from various disciplines, this book serves as a useful resource for graduates.
Data Visualization For Oracle Business Intelligence 11g
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Author : Dan Vlamis
language : en
Publisher: McGraw Hill Professional
Release Date : 2015-02-13
Data Visualization For Oracle Business Intelligence 11g written by Dan Vlamis and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-13 with Computers categories.
The only Oracle Press guide to creating effective visual presentations of business intelligence data quickly and easily Data Visualization for Oracle Business Intelligence 11g reveals the best practices for creating graphs, tables, maps, and other methodologies for presenting data-driven insights using one of the most common business intelligence front-end systems in the world, Oracle Business Intelligence 11g. This information-rich guide offers clear instructions for building top-quality dashboards, analyses, and visualizations from real-world implementers and respected data visualization experts. You’ll learn everything from improving the readability of your tables to implementing the latest Advanced Trellis Chart features and from adding native map views of BI data to designing optimal dashboard layout strategies. You’ll see how to produce accurate, compelling, and professional graphics that will immediately enhance corporate decision making. Shows proven steps for extracting maximum impact from native features that are little known to the majority of BI users Covers dashboard strategy, including layout, design, navigation, master detail linking, action links, and prompts Addresses how to extend Oracle Business Intelligence 11g with advanced languages and visualization systems such as JavaScript-based D3 and JQuery, R, and Oracle Application Development Framework Includes an associated web gallery showcasing the colors and graphics that render best digitally