[IPython-User] [IPython-dev] Some Nbviewer stats

Aron Ahmadia aron@ahmadia....
Fri Nov 9 02:50:35 CST 2012


Wow, very cool Matthias.  Somebody should write a blog post about this :)

Cheers,
Aron


On Fri, Nov 9, 2012 at 9:39 AM, Matthias BUSSONNIER <
bussonniermatthias@gmail.com> wrote:

> Hi all,
>
> 3 weeks ago (22 oct)  I tried to enable statistics on nbviewer, sadly with
> our plan we are limited on the amount of data than can be stored,
> So I had to shut the recording of the statistics down yesterday (8 nov)
>  after more than 10 000 pages rendered.
> Still I have a top 20 of the most viewed notebooks during the last 2 weeks.
>
> Number of view , url (prepend nbiewer.ipython.org/)
>
> (714) urls/
> raw.github.com/changhiskhan/talks/master/pydata2012/pandas_timeseries.ipynb
> (617) urls/raw.github.com/jseabold/538model/master/silver_model.ipynb
> (585) 3835181
> (571) url/jakevdp.github.com/downloads/notebooks/XKCD_plots.ipynb
> (444) 3962843
> (379) urls/
> raw.github.com/ipython/ipython/master/docs/examples/notebooks/00_notebook_tour.ipynb
> (366) 3914904
> (317) urls/
> raw.github.com/gist/3974344/edebf73792346f771459f26c6088347dd711c212/ml_with_sklearn_notebook.ipynb
> (208) 2352771
> (179) url/mentat.za.net/numpy/pydata/pydata2012_nyc_numpy.ipynb
> (164) url/lyorn.idyll.org/~t/transfer/armo-diginorm-reports.ipynb
> (156) urls/
> raw.github.com/beacon-center/intro-computational-science/master/hw-week8-which-k.ipynb
> (144) urls/github.com/weecology/progbio/raw/master/ipynbs/numpy.ipynb
> (143) urls/raw.github.com/fperez/blog/master/120907-Blogging with the
> IPython Notebook.ipynb
> (114) url/mentat.za.net/numpy/pydata/broadcast_scalar.svg
> (109) 3804365
> (99) 3914895
> (94) url/
> raw.github.com/weecology/progbio/master/ipynbs/testing_in_ipynb.ipynb
> (90) urls/
> raw.github.com/ipython/ipython/3607712653c66d63e0d7f13f073bde8c0f209ba8/docs/examples/notebooks/cython_extension.ipynb
> (84) urls/github.com/weecology/progbio/raw/master/ipynbs/matplotlib.ipynb
>
> If someone is interested I might have a Postgres backup with 2 table :
>
> 1 ) notebook_id | url
> 2 ) notebook_id | acces timestamp
>
> If anyone want to make nice graphs over time, I 'll be happy to send
> him/her the raw data.
> It would be interesting for example to see how silver_model had a huge
> increase of view after it's post on twitter, or how XKCD_plots started to
> increase steadily after being on the first page of nbviewer.
>
> Hopefully we will find a way to reenable the statistics in a different way.
>
> Cheers,
> --
> Matthias
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