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Author: Hadley Wickham
Publisher: Springer Science & Business Media
ISBN: 0387981411
Category : Computers
Languages : en
Pages : 211
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Book Description
Provides both rich theory and powerful applications Figures are accompanied by code required to produce them Full color figures
Author: Hadley Wickham
Publisher: Springer Science & Business Media
ISBN: 0387981411
Category : Computers
Languages : en
Pages : 211
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Book Description
Provides both rich theory and powerful applications Figures are accompanied by code required to produce them Full color figures
Author: Marcel Souza
Publisher: Gavea
ISBN:
Category : Business & Economics
Languages : en
Pages : 78
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Book Description
In "How to Be a Successful Trader with Graphic Analysis", readers are introduced to the dynamic world of trading through the lens of graphic analysis. This comprehensive guide demystifies the complex concepts of chart reading and technical analysis, making them accessible to traders of all levels. The book begins with the basics of graphic analysis, explaining the importance of chart types, patterns, and indicators in the trading world. The author, a seasoned trader, offers insights into how to interpret market movements and make informed decisions by reading and understanding various chart forms. As the book progresses, it delves deeper into advanced strategies, including how to spot trends, recognize key signals, and employ various charting tools for maximum advantage. Real-world examples and case studies are provided to illustrate the practical application of these techniques in live trading scenarios. Furthermore, "How to Be a Successful Trader with Graphic Analysis" covers essential topics such as risk management, trading psychology, and developing a personalized trading plan. The book emphasizes the importance of a disciplined approach and continuous learning to achieve long-term success in trading. Whether you're a novice trader looking to build a solid foundation or an experienced trader seeking to refine your skills, this book offers valuable insights and strategies to help you navigate the world of trading with confidence and proficiency. "How to Be a Successful Trader with Graphic Analysis" is an indispensable resource for anyone aspiring to make informed, profitable decisions in the financial markets.
Author: Antony Unwin
Publisher: CRC Press
ISBN: 1498715249
Category : Mathematics
Languages : en
Pages : 306
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Book Description
See How Graphics Reveal Information Graphical Data Analysis with R shows you what information you can gain from graphical displays. The book focuses on why you draw graphics to display data and which graphics to draw (and uses R to do so). All the datasets are available in R or one of its packages and the R code is available at rosuda.org/GDA. Graphical data analysis is useful for data cleaning, exploring data structure, detecting outliers and unusual groups, identifying trends and clusters, spotting local patterns, evaluating modelling output, and presenting results. This book guides you in choosing graphics and understanding what information you can glean from them. It can be used as a primary text in a graphical data analysis course or as a supplement in a statistics course. Colour graphics are used throughout.
Author: Richard Brath
Publisher: John Wiley & Sons
ISBN: 1118845870
Category : Computers
Languages : en
Pages : 544
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Book Description
Wring more out of the data with a scientific approach to analysis Graph Analysis and Visualization brings graph theory out of the lab and into the real world. Using sophisticated methods and tools that span analysis functions, this guide shows you how to exploit graph and network analytic techniques to enable the discovery of new business insights and opportunities. Published in full color, the book describes the process of creating powerful visualizations using a rich and engaging set of examples from sports, finance, marketing, security, social media, and more. You will find practical guidance toward pattern identification and using various data sources, including Big Data, plus clear instruction on the use of software and programming. The companion website offers data sets, full code examples in Python, and links to all the tools covered in the book. Science has already reaped the benefit of network and graph theory, which has powered breakthroughs in physics, economics, genetics, and more. This book brings those proven techniques into the world of business, finance, strategy, and design, helping extract more information from data and better communicate the results to decision-makers. Study graphical examples of networks using clear and insightful visualizations Analyze specifically-curated, easy-to-use data sets from various industries Learn the software tools and programming languages that extract insights from data Code examples using the popular Python programming language There is a tremendous body of scientific work on network and graph theory, but very little of it directly applies to analyst functions outside of the core sciences – until now. Written for those seeking empirically based, systematic analysis methods and powerful tools that apply outside the lab, Graph Analysis and Visualization is a thorough, authoritative resource.
Author: Frederick Vail Waugh
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 68
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Book Description
Author: William Sidney Wolfe
Publisher:
ISBN:
Category : Graphic statics
Languages : en
Pages : 396
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Book Description
Author: Donat P. Hader
Publisher: CRC Press
ISBN: 148227390X
Category : Medical
Languages : en
Pages : 485
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Book Description
Automatic image analysis has become an important tool in many fields of biology, medicine, and other sciences. Since the first edition of Image Analysis: Methods and Applications, the development of both software and hardware technology has undergone quantum leaps. For example, specific mathematical filters have been developed for quality enhanceme
Author: K.C. Santosh
Publisher: Springer
ISBN: 9811323399
Category : Computers
Languages : en
Pages : 184
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Book Description
The book focuses on one of the key issues in document image processing – graphical symbol recognition, which is a sub-field of the larger research domain of pattern recognition. It covers several approaches: statistical, structural and syntactic, and discusses their merits and demerits considering the context. Through comprehensive experiments, it also explores whether these approaches can be combined. The book presents research problems, state-of-the-art methods that convey basic steps as well as prominent techniques, evaluation metrics and protocols, and research standpoints/directions that are associated with it. However, it is not limited to straightforward isolated graphics (visual patterns) recognition; it also addresses complex and composite graphical symbols recognition, which is motivated by real-world industrial problems.
Author: Luis Agustín-Hernández
Publisher: Springer Nature
ISBN: 3030479870
Category : Technology & Engineering
Languages : en
Pages : 559
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Book Description
This book presents the proceedings of the 18th International Conference on Graphic Design in Architecture, EGA 2020, focusing on heritage – including architectural and graphic heritage as well as the graphics of heritage. The third of three volumes, this book discusses topics related to mapping, cartography and landscape, as well as innovative education methods, particularly in the context of teaching architectural heritage. It covers historical cartography and new cartographies, as well as methods for representing the landscape, and reports on different learning methods and practices, including classroom methods but also those involving more active participation and multidisciplinary and collaborative production. Given its scope, this book will appeal cartographers, designers and teachers, providing them with extensive information on innovative methodologies and a source of inspiration for their future work.
Author: Alexander Grigor’yan
Publisher: American Mathematical Soc.
ISBN: 147044397X
Category : Mathematics
Languages : en
Pages : 160
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Book Description
A central object of this book is the discrete Laplace operator on finite and infinite graphs. The eigenvalues of the discrete Laplace operator have long been used in graph theory as a convenient tool for understanding the structure of complex graphs. They can also be used in order to estimate the rate of convergence to equilibrium of a random walk (Markov chain) on finite graphs. For infinite graphs, a study of the heat kernel allows to solve the type problem—a problem of deciding whether the random walk is recurrent or transient. This book starts with elementary properties of the eigenvalues on finite graphs, continues with their estimates and applications, and concludes with heat kernel estimates on infinite graphs and their application to the type problem. The book is suitable for beginners in the subject and accessible to undergraduate and graduate students with a background in linear algebra I and analysis I. It is based on a lecture course taught by the author and includes a wide variety of exercises. The book will help the reader to reach a level of understanding sufficient to start pursuing research in this exciting area.
