Category Archives: Data Analysis

2017.02.01

Posted on February 1, 2017 by Alexander Szewczak

Forget autonomous cars — Autonomous ships are almost here. New Zealand bank replaces SAS server with R server.  

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Florence Nightingale was a data scientist

Posted on March 30, 2016 by Alexander Szewczak

Everyone knows Florence Nightingale as a dedicated and courageous caregiver, the founder of modern nursing.  But she was also quite a good statistician.    In 1850’s, while she served at the British military hospitals in Turkey, she instituted rigorous data collection and analysis for medical records.  She collected … Continue reading →

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Software is still eating the world

Posted on May 22, 2014 by Alexander Szewczak

Russ Roberts has a new EconTalk podcast interview with Marc Andreessen that is worth a listen: Marc Andreessen, venture capitalist and co-creator of the early web browser Mosaic, talks with EconTalk host Russ Roberts about how success in venture capital is more about … Continue reading →

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Most Selective Colleges by State

Posted on May 21, 2014 by Alexander Szewczak

Each state is marked with the logo of the most selective college located within that state.

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Not just Microsoft: All companies need a data culture

Posted on May 4, 2014 by Alexander Szewczak

What Microsoft needs is a “data culture”, according to Satya Nadella, their new CEO and former head of the Cloud and Enterprise group.  As reported by Adam Lashinsky: In Nadella’s world view, data generated by, living on, and enhanced by Microsoft’s software is the … Continue reading →

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P values. I do not think that value means what you think it means.

Posted on February 13, 2014 by Alexander Szewczak

Regina Nuzzo has a news feature in Nature about P values that every biomedical scientist should read.  P values — the common measure of statistical significance (i.e. the “believability” of an experiment) — do not mean what most scientists think they mean. … Continue reading →

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Tutorial: Significant Figures

Posted on August 23, 2013 by Alexander Szewczak

New (and not so new) scientists often don’t think about how many digits, or significant figures they should include when reporting numerical data.  Unless you’re using a finely calibrated instrument, most readings aren’t accurate beyond one or two percent (about two significant … Continue reading →

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