Автор: Bremer Martina, Doerge Rebecca W. Название: Using R at the Bench: Step-By-Step Data Analytics for Biologists ISBN: 1621821129 ISBN-13(EAN): 9781621821120 Издательство: Неизвестно Рейтинг: Цена: 102690.00 T Наличие на складе: Невозможна поставка. Описание: Using R at the Bench: Step-by-Step Data Analytics for Biologists is a convenient bench-side handbook for biologists, designed as a handy reference guide for elementary and intermediate statistical analyses using the free/public software package known as R. The expectations for biologists to have a more complete understanding of statistics are growing rapidly. New technologies and new areas of science, such as microarrays, next-generation sequencing, and proteomics, have dramatically increased the need for quantitative reasoning among biologists when designing experiments and interpreting results. Even the most routine informatics tools rely on statistical assumptions and methods that need to be appreciated if the scientific results are to be correct, understood, and exploited fully. Although the original Statistics at the Bench is still available for sale and has all examples in Excel, this new book uses the same text and examples in R. A new chapter introduces the basics of R: where to download, how to get started, and some basic commands and resources. There is also a new chapter that explains how to analyze next-generation sequencing data using R (specifically, RNA-Seq). R is powerful statistical software with many specialized packages for biological applications and Using R at the Bench: Step-by-Step Data Analytics for Biologists is an excellent resource for those biologists who want to learn R. This handbook for working scientists provides a simple refresher for those who have forgotten what they once knew and an overview for those wishing to use more quantitative reasoning in their research. Statistical methods, as well as guidelines for the interpretation of results, are explained using simple examples. Throughout the book, examples are accompanied by detailed R commands for easy reference.
Автор: Kristin Briney Название: Data Management for Researchers: Organize, maintain and share your data for research success ISBN: 1784270113 ISBN-13(EAN): 9781784270117 Издательство: NBN International Рейтинг: Цена: 42240.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Learning how to manage, share and preserve data is essential for active researchers. A comprehensive guide for scientific researchers providing everything they need to know about data management and how to organize, document, use and reuse their data.
Автор: Humble Aine Название: How Qualitative Data Analysis Happens ISBN: 1138044679 ISBN-13(EAN): 9781138044678 Издательство: Taylor&Francis Рейтинг: Цена: 38780.00 T Наличие на складе: Нет в наличии. Описание: This volume shows how researchers actively and consciously arrive at their themes, revealing the complexity of making sense of thousands of pages of interview data, multiple data sources, and diverse types of data.
Автор: Miller James D. Название: Big Data Visualization ISBN: 1785281941 ISBN-13(EAN): 9781785281945 Издательство: Неизвестно Рейтинг: Цена: 60070.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Frost, Adam Sturt, Tobias Kynvin, Jim Gallardo, Sergio Название: Communicating with data visualisation ISBN: 152974377X ISBN-13(EAN): 9781529743777 Издательство: Sage Publications Рейтинг: Цена: 38010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers a four-step framework for transforming data into innovative, persuasive visualisations that will appeal to different audiences.
Автор: Magallanes Reyes, Jose Manuel (pontificia Universidad Catolica Del Peru) Название: Data visualization for social and policy research ISBN: 1108714382 ISBN-13(EAN): 9781108714389 Издательство: Cambridge Academ Рейтинг: Цена: 31670.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book teaches basic techniques for produce visualizations of tables, time series, maps, text, and networks that communicate data and analyses creatively and effectively. The step by step presentation helps readers learn coding in R and Python while simultaneously becoming familiar with the advantages and disadvantages of each visual.
Автор: Adam Frost, Jim Kynvin, Sergio Fernandez Gallardo, Tobias Sturt Название: Communicating with Data Visualisation: A Practical Guide ISBN: 1529743761 ISBN-13(EAN): 9781529743760 Издательство: Sage Publications Рейтинг: Цена: 147840.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers a four-step framework for transforming data into innovative, persuasive visualisations that will appeal to different audiences.
Автор: Jose Manuel Magallanes Reyes Название: Data Visualization for Social and Policy Research: A Step-by-Step Approach Using R and Python ISBN: 1108494331 ISBN-13(EAN): 9781108494335 Издательство: Cambridge Academ Рейтинг: Цена: 91870.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book teaches basic techniques for produce visualizations of tables, time series, maps, text, and networks that communicate data and analyses creatively and effectively. The step by step presentation helps readers learn coding in R and Python while simultaneously becoming familiar with the advantages and disadvantages of each visual.
Автор: Theodosia Prodromou Название: Data visualization and statistical literacy for open and big data / ISBN: 1522525122 ISBN-13(EAN): 9781522525127 Издательство: Turpin Рейтинг: Цена: 202050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data visualization has emerged as a serious scholarly topic, and a wide range of tools have recently been developed at an accelerated pace to aid in this research area. Examining different ways of analyzing big data can result in increased efficiency for many corporations and organizations.Data Visualization and Statistical Literacy for Open and Big Data highlights methodological developments in the way that data analytics is both learned and taught. Featuring extensive coverage on emerging relevant topics such as data complexity, statistics education, and curriculum development, this publication is geared toward teachers, academicians, students, engineers, professionals, and researchers that are interested in expanding their knowledge of data examination and analysis.
Автор: Stephanie D. H. Evergreen Название: Effective Data Visualization: The Right Chart for the Right Data ISBN: 1544350880 ISBN-13(EAN): 9781544350882 Издательство: Sage Publications Рейтинг: Цена: 63360.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The updated Second Edition of the comprehensive how-to guide functions as a set of blueprints, supported by research and the author`s extensive experience with clients in industries all over the world, for conveying data in an impactful way.
Автор: Alejandra Gonz?lez-Beltr?n; Francesco Osborne; Sil Название: Semantics, Analytics, Visualization ISBN: 3030013782 ISBN-13(EAN): 9783030013783 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book constitutes the refereed proceedings of the 3rd International Workshop, SAVE-SD 2017, held in Perth, Australia, in April 2017, and the 4th International Workshop, SAVE-SD 2018, held in Lyon, France, in April 2018. The 6 full, 2 position and 4 short papers were selected from 16 submissions. The papers describe multiple ways in which scholarly dissemination can be approved: Creating structured data, providing methods for semantic computational analysis and designing systems for navigating. This allows a variety of stakeholders to understand research dynamics, predict trends and evaluate the quality of research.
Автор: Munzner Название: Visualization Analysis and Design ISBN: 1466508914 ISBN-13(EAN): 9781466508910 Издательство: Taylor&Francis Рейтинг: Цена: 71450.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Learn How to Design Effective Visualization Systems
Visualization Analysis and Design provides a systematic, comprehensive framework for thinking about visualization in terms of principles and design choices. The book features a unified approach encompassing information visualization techniques for abstract data, scientific visualization techniques for spatial data, and visual analytics techniques for interweaving data transformation and analysis with interactive visual exploration. It emphasizes the careful validation of effectiveness and the consideration of function before form.
The book breaks down visualization design according to three questions: what data users need to see, why users need to carry out their tasks, and how the visual representations proposed can be constructed and manipulated. It walks readers through the use of space and color to visually encode data in a view, the trade-offs between changing a single view and using multiple linked views, and the ways to reduce the amount of data shown in each view. The book concludes with six case studies analyzed in detail with the full framework.
The book is suitable for a broad set of readers, from beginners to more experienced visualization designers. It does not assume any previous experience in programming, mathematics, human-computer interaction, or graphic design and can be used in an introductory visualization course at the graduate or undergraduate level.
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