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Subscribe to this list via RSS Blog posts tagged in Visualization

According to an article published on Datanami, in this age of big data, brilliant programmers who can write the best algorithms are worth their weight in gold. But there are other ways to exploit big data that don't require high-paid programmers at all. For the folks at the University of Maryland's Human-Computer Interaction Laboratory, users who explore their own data using visualization tools and techniques can sometimes beat the best algorithms.

Tagged in: big data Visualization
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The hot new concept in data visualization is “data storytelling”; some are calling it the next evolution of visualization. However, we’re early in the discussion and there are more questions than answers:

  •     Is data storytelling more than a catchy phrase?
  •     Where does data storytelling fit into the broader landscape of data exploration, visualization, and presentation?
  •     How can the traditional tools of storytelling improve how we communicate with data?
  •     Is it more about story-telling or story-finding?

Many of the bright minds in the data visualization field have started to tackle these questions — and it is something that we’ve been exploring at Juice in our work.

Zach Gemignani has collected some of the best blog posts, presentations, research papers, and other resources that take on this topic.

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Visualization is easy, right? After all, it's just some colorful shapes and a few text labels. But things are more complex than they seem, largely due to the the ways we see and digest charts, graphs, and other data-driven images. While scientifically-backed studies do exist, there are actually many things we don't know about how and why visualization works. To help you make better decisions when visualizing your data, here's a brief tour of the research.

The Early Years of Understanding Data
While the early days of visualization go back over 200 years, actual research to understand how it works really only started in the 1960s. Jacques Bertin's Sémiologie Graphique (Semiology of Graphics), published in 1969, was the first systematic treatment of the different ways graphical representations encode data. Bertin coined many terms of the trade, such as the mark, which is the basic unit of every visualization, like a bar, line, or circle sector. He also defined a number of retinal variables, which are the visual properties we use to express the data; these include color, size, location, etc.

Tagged in: data Visualization
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A picture is worth a thousand words, but creating cool infographics can be time-consuming. So we've found 20 amazing tools to make it easier.

It’s often said that data is the new world currency, and the web is the exchange bureau through which it’s traded. As consumers, we’re positively swimming in data; it's everywhere from food labels to World Health Organisation reports. As a result, for the designer it’s becoming increasingly difficult to present data in a way that stands out from the mass of competing data streams. 

Tagged in: data Visualization
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The way we digest information is evolving, and for good reason — the sheer amount of data we accumulate and compile each day is staggering. In fact, according to IBM, 90% of data in the world today has been created only within the last two years.

With this kind of growth, sometimes static numbers or a simple rundown of statistics can fall flat. That's why people from data scientists to artists are using visuals to relay information.

In the gallery below, Mashable has compiled 10 data visualization projects that prove actually seeing information can be effective, as well as really cool.

See gallery on Mashable

See also: 9 (Additional) Captivating Data Visualization Projects



Original article published by Mashable


Tagged in: data Visualization
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