Название: Data-Driven Storytelling ISBN: 1138197106 ISBN-13(EAN): 9781138197107 Издательство: Taylor&Francis Рейтинг: Цена: 7195.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents an accessible introduction to data-driven storytelling. Resulting from unique discussions between data visualization researchers and data journalists it offers an integrated definition of the topic, presents vivid examples and patterns for data storytelling, and calls out key challenges and new opportunities.
Master the art and science of data storytelling--with frameworks and techniques to help you craft compelling stories with data.
The ability to effectively communicate with data is no longer a luxury in today's economy; it is a necessity. Transforming data into visual communication is only one part of the picture. It is equally important to engage your audience with a narrative--to tell a story with the numbers. Effective Data Storytelling will teach you the essential skills necessary to communicate your insights through persuasive and memorable data stories.
Narratives are more powerful than raw statistics, more enduring than pretty charts. When done correctly, data stories can influence decisions and drive change. Most other books focus only on data visualization while neglecting the powerful narrative and psychological aspects of telling stories with data. Author Brent Dykes shows you how to take the three central elements of data storytelling--data, narrative, and visuals--and combine them for maximum effectiveness. Taking a comprehensive look at all the elements of data storytelling, this unique book will enable you to:
Transform your insights and data visualizations into appealing, impactful data stories
Learn the fundamental elements of a data story and key audience drivers
Understand the differences between how the brain processes facts and narrative
Structure your findings as a data narrative, using a four-step storyboarding process
Incorporate the seven essential principles of better visual storytelling into your work
Avoid common data storytelling mistakes by learning from historical and modern examples
Effective Data Storytelling: How to Drive Change with Data, Narrative and Visuals is a must-have resource for anyone who communicates regularly with data, including business professionals, analysts, marketers, salespeople, financial managers, and educators.
A pathbreaking history of art that uses digital research and economic tools to reveal enduring inequities in the formation of the art historical canon
Painting by Numbers presents a groundbreaking blend of art historical and social scientific methods to chart, for the first time, the sheer scale of nineteenth-century artistic production. With new quantitative evidence for more than five hundred thousand works of art, Diana Seave Greenwald provides fresh insights into the nineteenth century, and the extent to which art historians have focused on a limited--and potentially biased--sample of artwork from that time. She addresses long-standing questions about the effects of industrialization, gender, and empire on the art world, and she models more expansive approaches for studying art history in the age of the digital humanities. Examining art in France, the United States, and the United Kingdom, Greenwald features datasets created from indices and exhibition catalogs that--to date--have been used primarily as finding aids. From this body of information, she reveals the importance of access to the countryside for painters showing images of nature at the Paris Salon, the ways in which time-consuming domestic responsibilities pushed women artists in the United States to work in lower-prestige genres, and how images of empire were largely absent from the walls of London's Royal Academy at the height of British imperial power. Ultimately, Greenwald considers how many works may have been excluded from art historical inquiry and shows how data can help reintegrate them into the history of art, even after such pieces have disappeared or faded into obscurity. Upending traditional perspectives on the art historical canon, Painting by Numbers offers an innovative look at the nineteenth-century art world and its legacy.
Описание: Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, and Tableau Public.
Автор: Taylor Scott Название: Telling Your Data Story: Data Storytelling for Data Management ISBN: 1634628950 ISBN-13(EAN): 9781634628952 Издательство: Gazelle Book Services Рейтинг: Цена: 6647.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
The Data Whisperer's practical guide to explaining and understanding the strategic value of data management. The need for data management is everywhere across your company. The value of every digitally transformative customer-facing initiative, every data science and analytics-based project, every as-a-service offering, every foray into e-commerce, and every enterprise software implementation is inextricably linked to the successful output of data management efforts. Although it is a simple function of garbage in garbage out, that slogan rarely drives any sustainable executive action. We need to tell a better data story.
Data Storytelling is probably the hottest non-technical trend in the technology-related space. But it does not directly support data management because it is focused on analytics or telling stories with data. So, it is time to expand the realm of Data Storytelling to recognize the role of data management by telling stories about data.
Learn how to secure stakeholder involvement and executive commitment to fund and support data management as a systematic, consistent, fundamental part of your business. This book is for:
Data management leaders trying to explain your value to C-Level and business stakeholders. As a practitioner, you may already know how to fix your data, but your business leaders ignore your advice. When you explain data management to the business, they may nod "yes" on the outside, but they nod off on the inside.
Business stakeholders trying to comprehend why data management is important. Many business people may be frightened, threatened, intimidated, or at the very least confused and bewildered by the techno-babble often associated with data-related conversations. If you want to know more about why data management needs to be a strategic imperative in your organization, you'll learn it here in simple terms.
Data scientists looking to understand better how you connect to "The Business." A recurring struggle I hear from data scientists is the need to get "closer to business." If you are a data scientist, then you need to understand your company's data story. The more you can align your work to the core value your company delivers, the more successful you will be. This book will help you discover the essence of why data brings value to your business.
Anyone interested in understanding the business value of data management. I offer simple explanations about why data management is essential for your organization. Without going deep into technical concepts and processes, I focus on the business-related outputs. I share ways you can think about what foundational data does. Its importance is vital for the future of your enterprise.
Since this is a book about telling data stories, I share it through stories divided into five sections:
My data story. Why I know what I know and why you should listen to me.
Everyone's data story. A collection of classic, foundational data situations relevant to all enterprises.
Framing your data story. A set of simple frameworks about data value.
Selling your data story. Tips on creating a compelling narrative.
Building your data story. Why you must align with the strategic intentions of your enterprise.
Описание: Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis, and control methods and introduces advanced data-driven schemes for the design of fault diagnosis and fault-tolerant control systems catering to the needs of dynamic industrial processes.
Описание: Data-driven Design of Fault Diagnosis and Fault-tolerant Control Systems presents basic statistical process monitoring, fault diagnosis, and control methods and introduces advanced data-driven schemes for the design of fault diagnosis and fault-tolerant control systems catering to the needs of dynamic industrial processes.
Описание: Common data science algorithms and predictive analytics tools treat customer behavioral data, such as clicks on a website or purchases in a supermarket, the same as any other data. Instead, this practical guide introduces powerful methods specifically tailored for behavioral data analysis.
Автор: Paul Rissen Название: Experiment-Driven Product Development ISBN: 1484255275 ISBN-13(EAN): 9781484255278 Издательство: Springer Рейтинг: Цена: 6288.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Intermediate user level
Автор: Harry E. Cook; Luke A. Wissmann Название: Value Driven Product Planning and Systems Engineering ISBN: 1849966885 ISBN-13(EAN): 9781849966887 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Engineers and scientists often need to sell an innovative idea for a new product to top management. The engineer as product planner must learn to think like its major competitor using customer value as a guide.
Автор: Andreas Pott; Tobias Bruckmann Название: Cable-Driven Parallel Robots ISBN: 3319382098 ISBN-13(EAN): 9783319382098 Издательство: Springer Рейтинг: Цена: 20896.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume presents the outcome of the second forum to cable-driven parallel robots, bringing the cable robot community together.
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