Interactive map shows global economical inequality

When you visualise data on the map it very often gives you a totally different perspective on the phenomena. Guys from CREATE Lab at Carnegie Mellon University did a really cool project using Google Maps API and The World Top Incomes Database (WTID) which has been cataloguing statistics on wealth across the globe (unfortunately the data is only available for around 30 countries). The effect is maybe not the most impressive in terms of the design but it has several cool features and it gives a lot of cool information.

Global inequality - Geoawesomeness

The map allows you to view the data over the last 100 years by using a slider or simply by pressing ‘the play’ button.  You can also click on the particular country to get the data from selected countries on a graph. The map allows for visualising 4 different indicators:

  • top 1% income share
  • top 10% income share
  • top 1%/ bottom 90% income
  • top 10%/ bottom 90% income

Especially last two are interesting. They show how many people in the bottom 90 percent have a combined income equal to one person in the top 1%. Check out the video to learn more on how to use the tool.

source: The Verge

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Interested in Big Data Analytics? Must-See VIDEOS Then!

imagesHello guys! really I have been out for a while now, yeah was really sorting out a lot!

I recently picked interest on Big Data Analytics and really, this stuff is gradually changing our business world in cool ways.

This is an area where new insights have emerged to solve old issues, harvesting interesting insights where it seemed never existed before. This is where your tweets are foraged for business intelligence, your ‘likes’ on facebook can tell a marketer your inner-most desires, where the speed of algorithms are paramount than the speed of light.  Yes really, the fascinating effect of Big Data Analytics in our business bottom lines, our geospatial world and more importantly, our lives is continuously emerging.

The following  five Ted Talks Videos  can get you this get you thinking and even a shift in perception regarding Data Utilization for vast application areas. Discover more about the Big Data Revolution and sharpen your understanding about the essence of data. Data is King!


Check out the Videos, Courtesy of Tracey Wallace

1) Jennifer Golbeck: The Curly Fry Conundrum

In this 10 minute talk, Jennifer Golbeck gets to the bottom of social media data — making a case for the truly holistic information each of us shares. For instance, liking “Curly Fries” on Facebook has a high correlation with intelligence, but not because smart people just happen to like curly fries. Instead, based on algorithms and correlations across an individual’s social network, anything can be predicted based on a seemingly unrelated “Like” or “Follow,” including intelligence, religion, political affiliation, sexual orientation and more.

“If users don’t want me to use their data, they should have the right to do that. I want users to be informed and consenting users of the tools we develop.”

Golbeck’s talk makes it obvious that social media identity data has a very high value, and that ensuring users understand that value and have the option to opt-out of supplying that data is key to maintaining privacy in the era of audience intelligence and big data.

2) Alessandro Acquisti: Why Privacy Matters

Big data is being collected all around you and about you whether you want it to be happening or not. In this 15 minute talk, Acquisti questions the line between public and private information, noting that as big data continues to grow, that line blurs. And, in order to secure privacy, something has to be done about it. According to Acquisti, it’s the battle of our time as we fight for our data freedom to choice. It is possible to have the benefits of big data while protecting privacy.

“I believe that one of the defining fights of our time will be the fight over the control of personal information, the fight over whether big data will become a force for freedom or a force which will hiddenly manipulate us.”

Acquisti’s answer lies not just in simply transparency, but in giving users the right to choose, the option to share, the tools and understanding necessary to truly gauge for themselves the implications of sharing their data — and then making the educated decisions to do so, or not.

3) Jer Thorp: Make Data More Human

In a moving 18 minute talk, Thorp presents the value of adding human context to big data, giving large amounts of information true meaning. His example? The 9/11 memorial, on which the names of the victims are not displayed alphabetically, but by adjacency. Brothers next to brothers, co-workers next to co-workers, the 9/11 memorial is the first structure of its kind to utilize big data to affect architecture with a human angle — showcasing the truly myriad connections each of us makes throughout our lives.

“[The 9/11 memorial] has an incredibly timely concept in our era of social networks.”

Big data, he concludes, exists to help us, not harm us. And we should treat it as a tool to do so.

4) Kevin Slavin: Algorithms as Nature

This 15 minute talk begins with a Michael Najjar art piece showcasing Mount Aconcagua as seen from the summit. The steep peaks of the mountain, though, have been altered to accurately portray the Dow Jones stock market over the past 20 to 30 years. In essence, these are data mountains — and Slavin argues that Najjar’s artwork isn’t merely for show, it is a prophecy of how data, particularly algorithms, are changing the very landscape of our world.

“The landscape was always made by this sort of weird, uneasy collaboration between nature and man, but now there is this kind of third co-evolutionary force — the algorithm. And we will have to understand [algorithms] as nature, and in a way, they are.”

As algorithmic speed continues to dictate business outcomes, humans will continue to teraform our planet to make way for speed, precision and ROI at the hands of the algorithm.

5) Philip Evans: How Data Will Transform Business

In 14 minutes, Evans explains the history of traditional business strategy and how it no longer works in today’s modern business world. Instead, data-driven decisions will need to take precedence, not ego.

“Technology is driving the natural scaling of the activity beyond the institutional boundaries in which we have been used to thinking about it.”

Technology is the driving force behind business innovation, and the businesses that begin to a accept and create a culture around using big data will win out in the end.


Source: SmartDataCollective .com



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