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These new visualization forms are expected to handle massive volumes of data in more dynamic ways—users can see changes in real-time, and can interact with the data in a more immediate way.

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Data visualization will probably also incorporate more movement and animation that helps people understand, at a more visceral level, changes in the patterns of information. Some of the same attributes, such as pattern recognition and color differentiation, which may have helped people hunt and forage for food long ago, may now be used to help see key information in a thicket of data. People have many different learning styles and ways that they best absorb new information, so data visualization tools may not always be ideal for everyone.


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But the tools can provide an effective adjunct in helping many of us see and process information. Further, data visualization can be a part of a multi-modal approach to grappling with large, complex data sets and could be useful from the expert level to broader user segments. While they may be beautiful to look at, many data visualizations can seem more like abstract paintings—esoteric imagery that is only interesting or useful to a handful of people. This does not need remain the case.

Visualizing Data Exploring and Explaining with the Processing Environment – twangsactive

We should unleash the power of these visualizations to make them useful in the day-to-day world. Creating data visualization tools for a range of users and purposes will require both evolutionary and revolutionary approaches in design thinking.

Creating Beautiful and Meaningful Visualizations with Big Data

The necessity of a multi-disciplinary approach in an emerging and amorphous field to solve challenges presented by digital technology is familiar to UX practitioners. Like UX, the field of data visualization requires an amalgam of various skills, backgrounds and professions. Because of this, perhaps there will be increasing connections between UX and data viz. Both areas share some of the same fundamental goals of helping people more effectively work with information and each field could benefit from some of the approaches and practices.

For example, data visualization could use more consideration of tailoring tools for a range of clearly defined users and contexts. Then again, it may be that a truly elegant visualization gives the viewer a stronger and truer sense of the patterns in data. Can dynamic, data-driven images help people relate, at a gut level, to information? Can this connection help us to make better or quicker decisions in critical moments? Large amounts of data exists and is waiting to be made available, but it also needs to be made more engaging and appealing, and memorable.

There is something to be said about the emotional impact of well-crafted visualizations and their ability to help with engagement, recall, and understanding. While the capacity and sophistication to shape large-scale statistical data into compelling imagery increases, so too does the ability to distort the facts. Effective visualizations could help lend a sense of credibility to a collection of data that is somehow corrupted or otherwise problematic.


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  • Questionable collection methods, incorrect assumptions or various other flaws unintentional or otherwise can generate the raw materials of misinformation that, in turn, are magnified by the lens of visualization. Sometimes, charts with faulty math or logic speak for themselves, and provide a little geeky humor :. Effective data visualization can help decision-makers in various domains arrive at better, faster, and more insightful solutions.

    For people whose work depends on increasingly complex technical infrastructures, data visualization can be an indispensible part of planning, execution, monitoring, and crisis management. Allspaw says it is sometimes hard to tell what data is important until it is laid out graphically. More information about this seller Contact this seller. Language: English.


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      Ben Fry. Publisher: O'Reilly Media , This specific ISBN edition is currently not available. View all copies of this ISBN edition:. Synopsis About this title Visualizing Data Enormous quantities of data go unused or underused, simply because people can't visualize the quantities and relationships in it.

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      Full description "synopsis" may belong to another edition of this title. Synopsis : Enormous quantities of data go unused or underused today, simply because people can't visualize the quantities and relationships in it. Buy New Learn more about this copy. About AbeBooks. Other Popular Editions of the Same Title.