David Holoboff - The Art of Data Visualization

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  1. Brian Suda – Data Visualizations that Pack a Punch

    Creating visualizations from data can be a powerful and intriguing way to present findings. But way too many design teams sit on vast amounts of data. They also spend entirely too much time making static images rather than interactive tools.

    In his virtual seminar, Data Visualizations that Pack a Punch, Brian Suda outlines different types of meaningful data visualizations, from charts and graphs to more interactive models. He also discusses the importance of using the right tools and newer technologies and higher resolution displays as they emerge.

    The audience asked a slew of great questions during the live event. Brian comes back to chat with Adam Churchill and tackle some of those questions in this podcast.

    How do you approach accessibility challenges, such as color blindness? How do you communicate that the data you’re presenting is “fresh”? Is there a good way to demonstrate the ROI of good visualizations? What can you do to encourage people to start exploring and using data? Are there any examples of companies currently using visualizations well? Should you try to do this in-house or is it better to outsource to an agency? What is the best way to get started? Recorded: August, 2013

    —Huffduffed by briansuda

  2. Brian Suda – Designing with Data

    A data visualization, when done well, can be an incredibly powerful way to communicate information. It ultimately boils down to the choices you make in how to design and present the data. If you make the wrong choice you can run the risk of not accurately displaying the data or struggling to effectively tell its story.

    Brian Suda, author of A Practical Guide to Designing with Data, believes experimentation is a big part of arriving at the right choices. As ideas end up on the cutting room floor, not only do you arrive at a great visualization, but you’re building your toolbox along the way. This practice and experimentation leaves you with a template to apply to future projects.

    Essentially, arriving at the right choices now allows you to make better choices later. If you learn the best ways to represent different types of data, you can then apply that knowledge to any data sets you may have to visualize.

    Brian will be sharing his insights on data visualizations in his virtual seminar, The Design Choices You Make for Information: How to Create Great Data Visualizations, on Thursday, May 17. You won’t want to miss out on Brian’s pragmatic tips and techniques. Save your spot in Brian’s seminar.

    As always, we love to hear what you’re thinking. Share your thoughts with us in our comments section.

    —Huffduffed by briansuda

  3. Paper Preview: Viral Visualizations [CC]

    CITE THIS PAPER: Crystal Lee, Tanya Yang, Gabrielle Inchoco, Graham M. Jones, and Arvind Satyanarayan. 2021. Viral Visualizations: How Coronavirus Skeptics Use Orthodox Data Practices to Promote Unorthodox Science Online. In CHI Conference on Human Factors in Computing Systems (CHI ’21), May 8–13, 2021, Yokohama, Japan. ACM, New York, NY, USA, 18 pages. https://doi.org/ 10.1145/3411764.3445211

    DOWNLOAD THE PAPER: To find the full version of the paper (accepted for CHI ‘21), please see: https://arxiv.org/abs/2101.07993

    ABSTRACT: Controversial understandings of the coronavirus pandemic have turned data visualizations into a battleground. Defying public health officials, coronavirus skeptics on US social media spent much of 2020 creating data visualizations showing that the government’s pandemic response was excessive and that the crisis was over. This paper investigates how pandemic visualizations circulated on social media, and shows that people who mistrust the scientific establishment often deploy the same rhetorics of data-driven decision- making used by experts, but to advocate for radical policy changes. Using a quantitative analysis of how visualizations spread on Twitter and an ethnographic approach to analyzing conversations about COVID data on Facebook, we document an epistemological gap t…

    Original video: https://www.youtube.com/watch?v=oLvlWG9cmXc
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    Tagged with people & blogs

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  4. Tamara Munzner: Keynote on Visualization Principles

    Tamara Munzner (bit.ly/tmunzner) presents very lucid and useful guidelines for creating effective visualizations, including how to correctly rank visual channel types and how to use categorical color constraints. She explains advantages of 2D representation and drawbacks of 3D, immersive, or animated visualizations. She also describes how to create visualizations that reduce the viewer’s cognitive load, and how to validate visualizations. This talk was presented at VIZBI 2011, an international conference series on visualizing biological data (vizbi.org) funded by NIH & EMBO. This video was filmed and distributed with permission under a creative common license. Slides from the talk are at bit.ly/nCJM5U


    Tagged with dataviz

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  5. Semantic Web Gang: Interfaces to the Semantic Web

    With so much effort being devoted to the back-office manipulation and storage of semantic data, it is all too easy to forget the opportunities - and challenges - posed in inviting mainstream users to ‘browse the graph’ of semantic data. With expert contributions from MIT’s David Karger and the DBpedia team’s Christian Becker, the Gang sets about ensuring that the Interface is not forgotten.

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  6. A Conversation with Nate Silver: Analytic Evolutions, Big Data Failures and Data Visualizations

    In this interview, SAS’ data-driven marketer Alex Krawchick sits down with celebrity statistician, author and New York Times blogger Nate Silver. They discuss where analytics is heading, how organizations are succeeding - and failing - with big data, and how data visualization is changing the game. Learn more at http://www.sas.com/visualanalytics

    Original video: https://www.youtube.com/watch?v=GHU2wU_kUC8
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  7. Upplýsingamiðlun

    Brian Suda is a Master Informatician based in Iceland working on Upplýsingamiðlun, or data visualisations. He’s the author of Designing with Data, which is an introduction to those who have to create charts and graphs for a living, but could be doing it better.

    Brian talks with us about collecting data, the growth in the data and technology sector, the difference between data visualisations and infographics, and the importance of telling a good story. He also provides great tips on getting started in this exciting field and some resources for listeners.

    —Huffduffed by briansuda

  8. Noah Iliinsky – The Steps to Beautiful Visualizations » UIE Brain Sparks

    Noah Iliinsky is the co-editor of Beautiful Visualizations. He examines complex data and the ways to effectively communicate it visually to audiences. In this podcast, Noah joins Jared Spool for a discussion about how to interpret information visually in a way that is most effective for users to process the information and be successful in their tasks.

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  9. 149  |  xkcd or the art of data storytelling with web cartoons – Data Stories

    Randall Munroe is the mastermind behind the xkcd webcomics which have zillions of fans around the globe. In his stick figure cartoons and hilarious mini-stories, he comments on complicated scientific issues. Over the years, Randall has also created a number of data-heavy visualizations. Some of them tackle pressing issues such as climate change, while others mock conventions of visualization such as map projections or chart types.


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  10. 90 | Beyond the Chart with Brendan Dawes – Data Stories

    For our first episode of 2017 we had a very delightful chat with Brendan Dawes. Brendan is an artist and designer who works with interactive installations, data visualizations, and all things across the digital and physical sphere. He has a lot of super fascinating projects, including the famous Cinema Redux, an art piece that visualizes entire movies as a collection of snapshots.

    On the show we talk about his projects, his design process and philosophy, his relationship with the data visualization world, how he generates ideas, and his upcoming projects.

    We hope you enjoy this great conversation at the intersection of data, art, design, interaction and visualization!


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