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The 5 Most Common Data Relationships Shown Through Visualization

As the amount of data available to organizations and marketing departments grows, visualizations of that data are growing more complex. That’s not to say that data visualizations are becoming unwieldy – quite the opposite. The increasing amount of information being displayed in visual form helps viewers understand the often convoluted relationships between ranges of data.

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Data Mining Reveals How News Coverage Varies Around the World

Last year, the news media reported on 195,000 disasters around the world. The ones you heard about depend crucially on your location.

One interesting question about the nature of news is how well it reflects the pattern of real events around the world. It’s natural to assume that people living in a certain part of the world are more likely to read, see and hear about news from their own region. But what of the international news they get—how does that compare to the international news that people in other parts of the world receive?

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There are two sides to every dataset, sometimes they both should meet

In local government embracing open data is often a matter of compulsion or driven by the need to reduce FOI requests. This approach can miss the real value of open data.

The header illustration at the top of this article shows part of a dataset of the public toilets  situated in Harrogate Borough Council jurisdiction.  I did not randomly choose data about public toilets, it just so happens to be one of the three categories of datasets under the Local open data incentive scheme presently running, the others being planning applications and premises' licences.

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Is the term "big data" meaningless?

What constitutes big data is often a matter of individual choice. Different people have different ideas about what it is -- and what it isn't. And the lack of a common big data definition renders the term almost meaningless, according to Rick Sherman, founder of Athena IT Solutions, a BI, data warehousing and data management consultancy in Maynard, Mass.

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Data Scientists Want Big Data Ethics Standards

Nearly half of data scientists surveyed last month say Facebook's controversial "mood manipulation study" was unethical, and many support ethics guidelines for big data research.

The vast majority of statisticians and data scientists believe that consumers should worry about privacy issues related to data being collected on them, and most have qualms about the questionable ethics behind Facebook's undisclosed psychological experiment on its users in 2012.

Those are just two of the findings from a Revolution Analytics survey of 144 data scientists at JSM (Joint Statistical Meetings) 2014, an annual gathering of statisticians, to gauge their thoughts on big data ethics. The Boston conference ran Aug. 2-7.

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