Ebook Free Visual Data Storytelling with Tableau (Addison-Wesley Data & Analytics Series)
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Visual Data Storytelling with Tableau (Addison-Wesley Data & Analytics Series)
Ebook Free Visual Data Storytelling with Tableau (Addison-Wesley Data & Analytics Series)
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About the Author
Lindy Ryan is passionate about telling stories with data. She specializes in translating raw data into insightful stories through carefully curated visuals and engaging narrative frameworks. 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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Product details
Series: Addison-Wesley Data & Analytics Series
Paperback: 272 pages
Publisher: Addison-Wesley Professional; 1 edition (May 20, 2018)
Language: English
ISBN-10: 0134712838
ISBN-13: 978-0134712833
Product Dimensions:
6.9 x 0.7 x 8.9 inches
Shipping Weight: 14.9 ounces (View shipping rates and policies)
Average Customer Review:
2.6 out of 5 stars
4 customer reviews
Amazon Best Sellers Rank:
#526,194 in Books (See Top 100 in Books)
text size too small, around Word font size 8-9 I think, tiring and difficult to read.
Love it
The most I got out of Visual Data Storytelling with Tableau is that the author is full of herself as indicated in the beginning when she told her life story. I get it: she has superior IQ , congratulations...I suppose. On Tableau, the book does a horrible job of trying to teach me anything new or is very low on pedagogy. A case in point: on page 75, I attempted to create a donut graph but was totally unable to understand the author's directions. I don't get why the font size of the reading material is so small; it must be 8 point or something, prompting me to skim the book a lot. All in all, it's ironical that the author talked about the power of grabbing my attention in the first few pages yet failed to do so for her book.
As an entry-level business analyst, I feel this book is helpful on how to make a successful business report. First of all, it differentiated the data Storytelling from the data visualization and revealed the power of the visual data stories. Then the book laid out the steps for preparing a narrated storytelling presentation including getting started with Tableau, preparing data, audience analysis, structuring stories and choosing the right chart. Last, the book introduced some advanced charts and listed some external resources.This book uses Tableau as a tool to illustrate how to prepare a narrated storytelling presentations. However, most of datasets mentioned in the book are not available on the website referred by the book .I sent an email to the author to ask about the datasets on Oct 26, 2018 and she replied with asking which dataset I want. I provided a list of dataset but didn’t get any response until now. With no dataset in hand, that means you are not able to repeat the steps that performed in the book and impossible to see the results.Overall the author has a great experience in data analysis, data visualization and data storytelling. And the book was organized well. If all the datasets can be provided online, that will be extremely helpful to readers.
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