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Applying Sentiment Analysis to Star Wars: The Force Awakens

Posted by on Jan 20, 2016 in Blog, Data Visualization, Datamining, Geolocation and Psychogeography | Comments Off on Applying Sentiment Analysis to Star Wars: The Force Awakens

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Anonymous data may still not be anonymous enough

Posted by on Mar 15, 2015 in Blog, Datamining, Emerging Science and Technology, Technology and Privacy | Comments Off on Anonymous data may still not be anonymous enough

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Visualizing food monopolies

Posted by on Dec 12, 2014 in Data Visualization, Media and Markets | Comments Off on Visualizing food monopolies

Visualizing the relationships between a handful of major food conglomerates and their underlying brands has been done very neatly by Oxfam International in this graphic. The graphic details how only a few corporations control most of the available brands in groceries, and focuses on 10 of the world’s most powerful food and beverage companies: Coca-Cola, PepsiCo, Unilever, Danone, Mars, Mondelez International, Kellogg’s, General Mills, Nestle, and Associated British Foods. Oxfam calls these companies the Big 10 and details their...

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Social media data not representative?

Posted by on Dec 3, 2014 in Data Visualization, Datamining, Media and Markets | Comments Off on Social media data not representative?

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Visualizing Publicly Available US Government Data Online

Posted by on Sep 19, 2014 in Blog, Data Visualization | Comments Off on Visualizing Publicly Available US Government Data Online

Brightpoint Consulting recently released a small collection of interactive visualizations based on open, publicly available data from the US government. Characterized by a rather organic graphic design style and color palette, each visualization makes a socially and politically relevant dataset easily accessible. The custom chore diagram titled Political Influence [brightpointinc.com] highlights the monetary contributions made by the top Political Action Committees (PAC) for the 2012 congressional election cycle, for the House of...

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Visits: Mapping the Places you Have Visited

Posted by on Sep 1, 2014 in Blog, Data Visualization | Comments Off on Visits: Mapping the Places you Have Visited

Visits [v.isits.in] automatically visualizes personal location histories, trips and travels by aggregating geotagged one’s Flickr collection with a Google Maps history. developed by Alice Thudt, Dominkus Baur and prof. Sheelagh Carpendale, the map runs locally in the browser, so no sensitive data is uploaded to external servers. The timeline visualization goes beyond the classical pin representation, which tend to overlap and are relatively hard to read. Instead, the data is shown as ‘map-timelines’, a combination of maps...

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Culturegraphy: the Cultural Influences and References between Movies

Posted by on Aug 22, 2014 in Blog, Data Visualization | Comments Off on Culturegraphy: the Cultural Influences and References between Movies

Culturegraphy [culturegraphy.com], developed by “Information Model Maker” Kim Albrecht reveals represent complex relationships of over 100 years of movie references. Movies are shown as unique nodes, while their influences are depicted as directed edges. The color gradients from blue to red that originate in the 1980s denote the era of postmodern cinema, the era in which movies tend to adapt and combine references from other movies. Although the visualizations look rather minimalistic at first sight, their interactive features are...

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Beatquake: the Music Listening Activity across Facebook over 90 days

Posted by on May 28, 2014 in Blog, Data Visualization | Comments Off on Beatquake: the Music Listening Activity across Facebook over 90 days

Mapping Music on Facebook [facebookstories.com] by Stamen Design for Facebook shows the dynamic characteristics of the typical listening activity across Facebook. Inspired by the dynamic movement of a graphic equalizer, Beatquake maps the popularity of the top three most popular songs in the U.S., each day over the course of 90 days, by way of vertically moving particles. Colored layers, each representing one song, rise and fall over geographic locations to correspond with the number of plays in that area. The texture of the map is driven by...

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Will “Daily Deals” Save Newspapers?

Posted by on Jan 11, 2014 in Blog, Media and Markets | Comments Off on Will “Daily Deals” Save Newspapers?

?Groupon is Hastening the Demise of the Newspaper Industry,? wrote a trade publication in April 2011.?? However,?? some newspapers are betting that ?daily deal? offerings could reinvigorate the industry.?? Newspapers are turning to startups such as?? Shoutback and Nimble Commerce?? and others offering consulting and white-label systems to power deal mechanisms. And newspapers have other things many other Groupon clones don?t ? large local audiences that are still used to turning to newspapers for coupons,? and a sales force with established...

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YouTube Trends Map: Explore the Most Popular Videos by Location

Posted by on May 9, 2013 in Blog, Data Visualization | Comments Off on YouTube Trends Map: Explore the Most Popular Videos by Location

The YouTube Trends Map [youtube.com] is a visualization of the most shared and viewed videos in various regions across the United States over the last 12 to 24 hours. It accompanies the more analytical Trends Dashboard to provide a full overview of the the rising videos and trends on YouTube in terms of actual views or shares, filtered by geographical location, gender or age of the viewers. The demographic information of viewers is solely based on the information reported by registered, logged-in users in their YouTube account profiles. Next...

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