Data Visualization and Infographics - Smashing Magazine

Advertisement The main goal of data visualization is its ability to visualize data, communicating information clearly and effectivelty. It doesn’t mean that data visualization needs to look boring to be functional or extremely sophisticated to look beautiful. In both print and web design infographics — visual representations of information, data or knowledge — are often used to support information, strengthen it and present it within a provoking and sensitive context, depending on designer’s creativity. This article presents some spectacular data visualizations and infographics which manage to combine a strong visual appeal with the effective presentation of information. You might want to take a look at the article Data Visualization: Modern Approaches1 we’ve written few months ago. Data Visualization and Infographics Flags as Infographics3These posters have been designed for the political magazine Grande “Reportagem”. Independent: Infographic4Middle-East: who backs immediate cease-fire?

Junk Charts How to Design Content Filters for Better User Browsing by anthony on 10/24/11 at 9:51 pm Where does one start when they visit a website and want to find content that interests them? They could start from the beginning and browse through all the content until they find something they like. A content filter classifies content and displays them in unique ways. Believe it or not, there are only five dimensions to classifying content. Location Location is a dimension you can use if you have content that comes from several different sources. iTunes Movie Trailers gives users the ability to browse movies by the different movie studios they come from. Alphabet Classifying content by alphabet is another dimension that most sites can use. Time Time is a popular dimension to use for content filters because time is a dimension that all content shares. Category Category is another popular dimension for filtering content. Hierarchy The hierarchy dimension is one that offers a lot of possibilities.

Information Visualization Manifesto Posted: August 30th, 2009 | Author: Manuel Lima | Filed under: Uncategorized | – “The purpose of visualization is insight, not pictures” Ben Shneiderman (1999) – Over the past few months I’ve been talking with many people passionate about Information Visualization who share a sense of saturation over a growing number of frivolous projects. The criticism is slightly different from person to person, but it usually goes along these lines: “It’s just visualization for the sake of visualization”, “It’s just eye-candy”, “They all look the same”. When Martin Wattenberg and Fernanda Viégas wrote about Vernacular Visualization, in their excellent article on the July-August 2008 edition of interactions magazine, they observed how the last couple of years have witnessed the tipping point of a field that used to be locked away in its academic vault, far from the public eye. Even though a clear divide is necessary, it doesn’t mean that Information Visualization and Information Art cannot coexist.

FlowingData UX Booth: User Experience & Usability Blog Data Science Toolkit User Interface Engineering - Usability Research, Training, and Events - UIE A Data Scientist's Real Job: Storytelling - Jeff Bladt and Bob Filbin Every morning at DoSomething.org, our computers greet us with a report containing over 350 million data points tracking our organization’s performance. Our challenge as data scientists is to translate this haystack of information into guidance for staff so they can make smart decisions — whether it’s choosing the right headline for today’s email blast (should we ask our members to “take action now” or “learn more”?) or determining the purpose of our summer volunteer campaign (food donation drive or recycling campaign?). In short, we’re tasked with transforming data into directives. Good analysis parses numerical outputs into an understanding of the organization. When many people hear “Big Data,” they think “Big Brother” (Type “big data is…” into Google and one of the top recommendations is, “…watching you.”). Using Big Data successfully requires human translation and context whether it’s for your staff or the people your organization is trying to reach.

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