The short animation titled "Deluge" [bengler.no] byEven Westvangreveals how public data can be analyzed to reveal potentially interesting patterns. In particular, this movie demonstrates the patterns of 300.000 Norwegians moving house, by cross-referencing the tax records of about 4 million individual Norwegians from 2006 and 2007.

In the movie, the data is filtered by paramaters like yearly income or age, and a distinction is made between 'incoming' (red) and 'outgoing' (blue) citizens. As a result, one can perceive that elderly people generally move over relatively short distances, while high-earners tend to move out of the big cities to the shores.

Interestingly, in Norway all the incomes and fortunes of all tax paying individuals are made public every year, which consists of the full name, year of birth, postal code and their attendant financial data.

Watch the moviebelow.

Via@moritz_stefaner.

See also:
.Britain Seen from Above
.Project Facebook Palantir
.The Airspace above Europe
.Just Landed
.Immigration and Emigration Patterns from New York
.Immigration Patterns in the World

The online dashboardSuper Chatter[collemcvoy.com] designed by advertising agency Colle+McVoy acts as a visual overview of the true impact of the Super Bowl event in contemporary social media, and Twitter in particular.

An interactive timeline not only highlights some of the most important sports scoring events, but aligns them next to all the advertisements that were shown on television. A line graph then maps the rate of tweets-per-minute of those 641,094 tweets that mentioned one of more than 250 specific terms resembling "Super Bowl" (the official hash tag was only used in 4% of all relevant tweets), against a set of predefined terms, such as the popular brands, food and drinks, personalities, or the teams themselves.

See alsoBrandwatch Super Bowl.

The interactive dashboard atBrandwatch Super Bowl[brandwatch.com] shows the true impact of the highly expensive advertising that is shown during the Super Bowl, in particular on social online media.

Each so-called 'worm' represents a unique sponsor (including brands like Pepsi, Mars, Walt Disney or H&M). The accompanying number stands for the number of tweets that were made about that brand or their products over the last 28 days (and, yes, the 'worm' who has possession of the ball is winning).

The additional display on the right reveals the complete ranking of all tracked brands, complete with time-based sparklines, the positive versus negative sentiment of the daily tweets, and the most popular keywords that were used.

As a result, one can already attempt to estimate what will be the most anticipated ads for this Sunday, in addition to their expected content.