Visual Data Storytelling With Tableau, 1E
Idioma: inglés
Editorial: Addison-Wesley Professional, 2018
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- Nuevo
Librería: Readify Books, Newark, DE, Estados Unidos de AmericaReadify Books
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- Título
- Visual Data Storytelling With Tableau, 1E
- Autor
- Ryan
- Editorial
- Addison-Wesley Professional
- Año de publicación
- 2018
- Estado
- NEW
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 10
- 0134712838
- ISBN 13
- 9780134712833
- Edición
- Edición Internacional
- Peso del artículo
- 0,47 kilogramos
- Serie
- Libro 4 de 14: Addison-Wesley Data & Analytics
This is the first end-to-end, full-color guide to telling powerful, actionable data stories using Tableau, the world’s #1 visualization software. Renowned expert Lindy Ryan shows you how to communicate the full business implications of your data analyses by combining Tableau’s remarkable capabilities with a deep understanding of storytelling and design.
Each chapter illuminates key aspects of design practice and data visualization, and guides you step-by-step through applying them in Tableau. Ryan demonstrates how “data stories” resemble and differ from traditional storytelling, and helps you use Tableau to analyze, visualize, and communicate insights that are meaningful to any stakeholder, in any medium.
Information Visualization in Tableau presents exercises that give you hands-on practice with the most up-to-date capabilities available through Tableau 10 and the full Tableau software ecosystem. Ryan’s classroom-tested exercises won’t just help you master the software: they’ll show you to craft data stories that inspire action.
Coverage includes:
- The visual data storytelling paradigm: moving beyond static charts to powerful visualizations that combine narrative with interactive graphics
- How to think like a data scientist, a storyteller, and a designer -- all in the same project
- Data storytelling case studies: the good, the bad, and the ugly
- Shaping data stories: blending data science, genre, and visual design
- Seven best practices for visual data storytelling -- and common pitfalls to avoid
- Tricks and hacks you can use with any toolset, not just Tableau
“Sinopsis” puede pertenecer a otra edición de este título.
Acerca del autor
Before joining academia, Lindy was the Research Director for research and advisory firm Radiant Advisors from 2011 through 2016. In this role Lindy led Radiant’s analyst activities in the confluence of data discovery, visualization, and visual analytics. She also developed the methodology for the Data Visualization Competency Center (DVCC), a framework for helping data-driven organizations to effectively implement data visualization for enterprise-wide visual data analysis and communication. Her tool-agnostic approach has been successfully implemented at a variety of organizations across several industries and with multiple visualization technologies, including Tableau, Qlik, and GoodData. She remains a respected analyst in the data visualization community and is a regular contributor to several industry publications as well as a speaker at conferences worldwide.
Lindy began her academic career as an associate faculty member at City University of Seattle’s School of Applied Leadership where she taught graduate courses in business leadership from 2012 to 2016. In early 2016 she joined the ambitious team at the Rutgers Discovery Informatics Institute and began contributing to multidisciplinary research focused on designing solutions for the next generation of supercomputers tasked with enabling cutting-edge extreme-scale science. Currently, Lindy leads RDI2’s research on understanding and preventing cyberbullying behaviors in emerging technology users through advanced computing approaches.
Today, Lindy teaches courses in visual analytics and data visualization in Rutgers University’s Professional Science Masters program and in Montclair State University’s Business Analytics program. She is a recipient of the MSU Professing Excellence Award, which recognizes professors’ teaching excellence, particularly those who inspire and motivate students. This honor is especially meaningful to Lindy because in addition to her passion for teaching, her research includes a commitment to STEM advocacy, and she spends time on research related to increasing gender equity in CS&E and finding new and novel ways to nurture visual data literacy skills in early STEM learners.
Lindy is an active committee member of the New Jersey Big Data Alliance, a partnership of New Jersey-based academic institutions that serves as the State’s legislated consortium on research, education and outreach in advanced computation and big data. She is the author of The Visual Imperative: Creating a Culture of Visual Discovery released by Morgan Kaufmann in 2016, and the owner of Black Spot Books, a traditional, analytics-driven small-press publishing house.
Learn more about Lindy at www.visualdatastorytelling.com. You can also follow her on Twitter @lindy_ryan or view samples of her work on her Tableau Public page at https:// public.tableau.com/profile/lindyryan#!/.
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