Posts Tagged ‘ data ’

Exploring US healthcare data

April 13, 2014
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Exploring US healthcare data

A few days ago, the Centers for Medicare and Medicaid Services (CMS) released some unprecedented data on the US healthcare system. The data consists of 9 million rows showing how much each doctor in the US charged Medicare, for what, and how much Medicare paid out. It doesn't quite cover everything (for example, services with less than 11 beneficiaries were removed for privacy reasons), but its the best thing we've…

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Law of small numbers, in action

April 10, 2014
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Law of small numbers, in action

Loyal reader John M. expressed dismay over Twitter about 538's excessive use of bubble charts. Here's the picture that pushed John over the edge: The associated article is here. The question on the table is motivated by the extraordinary performance...

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Round-up of coverage of the Big Miss of Big Data

April 9, 2014
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There is now some serious soul-searching in the mainstream media about their (previously) breath-taking coverage of the Big Data revolution. I am collecting some useful links here for those interested in learning more. Here's my Harvard Business Review article in which I discussed the Science paper disclosing that Google Flu Trends, that key exhibit of the Big Data lobby, has systematically over-estimated flu activity for 100 out of the last…

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Numbersense Pros: Cathy O’Neil talks about trust in data analysis

April 7, 2014
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Numbersense Pros: Cathy O’Neil talks about trust in data analysis

Cathy O'Neil may need no introduction to blog readers. She's the author of the hard-hitting MathBabe blog, and she shares my passion for explaining how data analysis really works. She is co-author of the recent book Doing Data Science (link), with Rachel Schutt. Cathy has a varied career spanning academia and industry, as she explains below. *** KF: How did you pick up your impressive statistical reasoning skills? CO: Thanks…

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Advocacy graphics

April 6, 2014
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Advocacy graphics

Note: If you are here to read about Google Flu Trends, please see this roundup of the coverage. My blog is organized into two sections: the section you are on is about data visualization; the other section concerns Big Data...

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There’s an App for That

April 4, 2014
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There’s an App for That

I was looking for econometrics-related "apps" for my Android tablet. Very little of interest came up for "Econometrics", but there certainly are some nice data-related apps.Here are a few examples:FRED Economic DataIndicators OnlineCentERdataAmerica's ...

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Big delusion

April 4, 2014
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This article printed by VentureBeat is too much. The title claims "The Internet is killing off marketing surveys & it's for the best". This article is tagged as "Big Data". Big delusion is what it is. This is a great example of the kind of revisionist history that is practised in the name of Big Data. You'd also notice that there is no data or evidence presented to support any…

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Numbersense Pros: An interview with David Spiegelhalter

April 1, 2014
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Numbersense Pros: An interview with David Spiegelhalter

I am excited to chat with Professor David Spiegelhalter, who is no strangers to our UK audience, and our statistics colleagues. Perhaps his most well-known contribution is the DIC criterion for model selection, introduced by a paper by him and collaborators. He holds the impressive title of Winton Professor for the Public Understanding of Risk at the University of Cambridge (link). He also writes a blog called Understanding Uncertainty (link),…

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Dissecting charts from a Big Data study

March 28, 2014
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Dissecting charts from a Big Data study

Today's post examines an example of Big Data analyses, submitted by a reader, Daniel T. The link to the analysis is here. (On the sister blog, I discussed the nature of this type of analysis. This post concerns the graphical...

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Dealing with adapted data

March 27, 2014
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Reader Daniel T. is unhappy about this analysis of the intraday Internet usage by OS and device types. He doesn't like their choice of index, which I'll get to in a second post. (Link appears here when ready.) There is something else wrong with this type of analysis. Let's do a thought experiment. If you are a marketer interested in the diurnal variability in Internet usage, what are some of…

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