Wow, very cool Matthias.  Somebody should write a blog post about this :)<div><br></div><div>Cheers,</div><div>Aron </div><div class="gmail_extra"><br><br><div class="gmail_quote">On Fri, Nov 9, 2012 at 9:39 AM, Matthias BUSSONNIER <span dir="ltr">&lt;<a href="mailto:bussonniermatthias@gmail.com" target="_blank">bussonniermatthias@gmail.com</a>&gt;</span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Hi all,<br>
<br>
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,<br>
So I had to shut the recording of the statistics down yesterday (8 nov)  after more than 10 000 pages rendered.<br>
Still I have a top 20 of the most viewed notebooks during the last 2 weeks.<br>
<br>
Number of view , url (prepend <a href="http://nbiewer.ipython.org/" target="_blank">nbiewer.ipython.org/</a>)<br>
<br>
(714) urls/<a href="http://raw.github.com/changhiskhan/talks/master/pydata2012/pandas_timeseries.ipynb" target="_blank">raw.github.com/changhiskhan/talks/master/pydata2012/pandas_timeseries.ipynb</a><br>
(617) urls/<a href="http://raw.github.com/jseabold/538model/master/silver_model.ipynb" target="_blank">raw.github.com/jseabold/538model/master/silver_model.ipynb</a><br>
<a href="tel:%28585%29%203835181" value="+15853835181">(585) 3835181</a><br>
(571) url/<a href="http://jakevdp.github.com/downloads/notebooks/XKCD_plots.ipynb" target="_blank">jakevdp.github.com/downloads/notebooks/XKCD_plots.ipynb</a><br>
(444) 3962843<br>
(379) urls/<a href="http://raw.github.com/ipython/ipython/master/docs/examples/notebooks/00_notebook_tour.ipynb" target="_blank">raw.github.com/ipython/ipython/master/docs/examples/notebooks/00_notebook_tour.ipynb</a><br>

(366) 3914904<br>
(317) urls/<a href="http://raw.github.com/gist/3974344/edebf73792346f771459f26c6088347dd711c212/ml_with_sklearn_notebook.ipynb" target="_blank">raw.github.com/gist/3974344/edebf73792346f771459f26c6088347dd711c212/ml_with_sklearn_notebook.ipynb</a><br>

<a href="tel:%28208%29%202352771" value="+12082352771">(208) 2352771</a><br>
(179) url/<a href="http://mentat.za.net/numpy/pydata/pydata2012_nyc_numpy.ipynb" target="_blank">mentat.za.net/numpy/pydata/pydata2012_nyc_numpy.ipynb</a><br>
(164) url/<a href="http://lyorn.idyll.org/~t/transfer/armo-diginorm-reports.ipynb" target="_blank">lyorn.idyll.org/~t/transfer/armo-diginorm-reports.ipynb</a><br>
(156) urls/<a href="http://raw.github.com/beacon-center/intro-computational-science/master/hw-week8-which-k.ipynb" target="_blank">raw.github.com/beacon-center/intro-computational-science/master/hw-week8-which-k.ipynb</a><br>

(144) urls/<a href="http://github.com/weecology/progbio/raw/master/ipynbs/numpy.ipynb" target="_blank">github.com/weecology/progbio/raw/master/ipynbs/numpy.ipynb</a><br>
(143) urls/<a href="http://raw.github.com/fperez/blog/master/120907-Blogging" target="_blank">raw.github.com/fperez/blog/master/120907-Blogging</a> with the IPython Notebook.ipynb<br>
(114) url/<a href="http://mentat.za.net/numpy/pydata/broadcast_scalar.svg" target="_blank">mentat.za.net/numpy/pydata/broadcast_scalar.svg</a><br>
(109) 3804365<br>
(99) 3914895<br>
(94) url/<a href="http://raw.github.com/weecology/progbio/master/ipynbs/testing_in_ipynb.ipynb" target="_blank">raw.github.com/weecology/progbio/master/ipynbs/testing_in_ipynb.ipynb</a><br>
(90) urls/<a href="http://raw.github.com/ipython/ipython/3607712653c66d63e0d7f13f073bde8c0f209ba8/docs/examples/notebooks/cython_extension.ipynb" target="_blank">raw.github.com/ipython/ipython/3607712653c66d63e0d7f13f073bde8c0f209ba8/docs/examples/notebooks/cython_extension.ipynb</a><br>

(84) urls/<a href="http://github.com/weecology/progbio/raw/master/ipynbs/matplotlib.ipynb" target="_blank">github.com/weecology/progbio/raw/master/ipynbs/matplotlib.ipynb</a><br>
<br>
If someone is interested I might have a Postgres backup with 2 table :<br>
<br>
1 ) notebook_id | url<br>
2 ) notebook_id | acces timestamp<br>
<br>
If anyone want to make nice graphs over time, I &#39;ll be happy to send him/her the raw data.<br>
It would be interesting for example to see how silver_model had a huge increase of view after it&#39;s post on twitter, or how XKCD_plots started to increase steadily after being on the first page of nbviewer.<br>
<br>
Hopefully we will find a way to reenable the statistics in a different way.<br>
<br>
Cheers,<br>
<span class="HOEnZb"><font color="#888888">--<br>
Matthias<br>
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</font></span></blockquote></div><br></div>