Very cool notebook, and some top-notch data investigation!

Cheers,

Brian

On Thu, Dec 1, 2016 at 8:39 AM, Carol Willing <willi...@gmail.com> wrote:

> Thanks for sharing this example notebook and the blog post. Very well
> done. If anyone knows the authors, this would make an interesting
> conference talk.
>
> *Carol Willing*
>
> Research Software Engineer, Project Jupyter
> Cal Poly San Luis Obispo
>
> Director, Python Software Foundation
>
> Strengths: Empathy, Relator, Ideation, Strategic, Learner
>
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> On Dec 1 2016, at 4:21 am, Thomas Kluyver <tak...@gmail.com> wrote:
>
>> We have many, many examples of notebooks in use now, but this one still
>> struck me as a great example of something with an immediate practical
>> impact:
>>
>> https://blog.data.gov.sg/how-we-caught-the-circle-line-
>> rogue-train-with-data-79405c86ab6a#.v48zug54c
>> <https://blog.data.gov.sg/how-we-caught-the-circle-line-rogue-train-with-data-79405c86ab6a#.v48zug54c&r=anVweXRlckBnb29nbGVncm91cHMuY29t>
>>
>> Summary: metro trains in Singapore were experiencing seemingly random
>> emergency stops caused by signal failures. Data analysis in a notebook
>> revealed that a particular train was interfering with other trains'
>> communications. The operator pulled it out of service, and people could
>> commute happily again.
>>
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-- 
Brian E. Granger
Associate Professor of Physics and Data Science
Cal Poly State University, San Luis Obispo
@ellisonbg on Twitter and GitHub
bgran...@calpoly.edu and elliso...@gmail.com

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