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Politicians and statistics

April 29, 2015 By editor

An article in today’s Guardian claims that 220 potential MPs have pledged to attend a workshop on how to interpret statistics in public life. Makes a lot of sense.

Politicians’ misunderstanding of statistics is illustrated by reference to a test conducted by the Royal Statistical Society, reported (article has since been updated) as:

…97 MPs were asked the maths question: “If you spin a coin twice, what is the probability of getting two heads?”

The answer is, of course, 25%. However, only 47% of Conservatives and 77% of Labour MPs got this right. This is despite over three-quarters of Conservatives saying they felt confident dealing with numbers.

However, the source of this information is a BBC article that states:

A total of 97 MPs were asked this probability problem: if you spin a coin twice, what is the probability of getting two heads?

Among Conservative members, 47% gave the wrong answer, which is disappointing enough. But of the 44 Labour MPs who took part, 77% answered incorrectly.

Whoops. Turns out that the Guardian, a left-leaning newspaper, is overstating the statistical prowess of Labour MPs. Clearly just a mistake, but an embarrassing one in an article about interpreting statistical information.

Here’s a screenshot of the original article.

Filed Under: Data analysis

Microsoft hiring R developers

April 24, 2015 By editor

Subsequent to their recent purchase of Revolution Analytics, Mircosoft seem to be expanding their investment in R. They are currently hiring for a new team that, amongst other things, will

further accelerate & scale R analytics workloads by integrating with modern big data processing frameworks.

Filed Under: Data analysis

Emotion analytics

April 24, 2015 By editor

Affectiva have an SDK for smartphones that, via the camera, can determine your emotional state from your facial expression.

A free trial period is available for those who wish to try the SDK for themselves.

Filed Under: Data analysis

Happy 5th birthday, Spark

March 31, 2015 By editor

The Apache Spark project was first open-sourced on 31 March 2010.

While much has been made of how quickly interest in Spark has grown, it’s worth pausing to remember that it’s been around for a whole five years. The project has had time to mature and expand into areas where there are the practical requirements (e.g. data frames, ML pipelines).

Looking forward to what the team comes up with in the next five years.

Filed Under: Big data, Data analysis

Big data and narrative

March 6, 2015 By editor

As the amount of data we collect continues to explode, attention needs to shift to making sense of it. Tools like Hadoop and Spark allow us to analyse these huge datasets, but they don’t really make sense of it. Senior managers want insights. They want to have their business illuminated by the data. At present, this is done by data scientists analyzing the data and weaving it into a report.

However, this isn’t scalable. Data scientists become the bottleneck. It’s hard to get real-time insights when someone has to plough though the data and then write it up.

Unsurprisingly, there are people working on this problem. Narrative Science have a tool called Quill that they call an “automated narrative generation platform”.

If we are going to start harnessing the power of big data as part of our day-to-day business, tools of this kind will be essential. I presume there is still a way to go before they get even close to the insights a data scientist can provide, but we need to start somewhere.

Filed Under: Big data, Data analysis

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