Re: [jupyter] Jupyter Notebook User Experience Survey

2018-09-24 Thread Peter Parente
Hi Fernando,

There's no longer an interactive one running, though we should be able to
setup the necessary requirements in the repository and add a "Run on
Binder" button for you to easily re-run the notebook with the analysis.

Pete

On Mon, Sep 24, 2018 at 12:45 PM Fernando Fuentes de la Parra <
ferna...@hypernetwork.io> wrote:

> Helps a lot Peter, thanks! Couldn’t find an interactive version
> (alternative to cloudet) under /jupyter/surveys...is there no longer one or
> am I missing something?
>
> On Sep 20, 2018, at 13:12, Peter Parente  wrote:
>
> Hi Fernando,
>
> The survey data and analysis are now located in
> https://github.com/jupyter/surveys. The cloudet.xyz site hosting an
> interactive version of it shut down a couple years back.
>
> Hope this helps!
> Pete
>
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Re: [jupyter] Jupyter Notebook User Experience Survey

2018-09-24 Thread Fernando Fuentes de la Parra
Helps a lot Peter, thanks! Couldn’t find an interactive version (alternative to 
cloudet) under /jupyter/surveys...is there no longer one or am I missing 
something?

On Sep 20, 2018, at 13:12, Peter Parente  wrote:

Hi Fernando,

The survey data and analysis are now located in 
https://github.com/jupyter/surveys. The cloudet.xyz site hosting an interactive 
version of it shut down a couple years back.

Hope this helps!
Pete
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Re: [jupyter] Jupyter Notebook User Experience Survey

2018-09-20 Thread Peter Parente
Hi Fernando,

The survey data and analysis are now located 
in https://github.com/jupyter/surveys. The cloudet.xyz site hosting an 
interactive version of it shut down a couple years back.

Hope this helps!
Pete

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Re: [jupyter] Jupyter Notebook User Experience Survey

2018-09-19 Thread Fernando Fuentes de la Parra
Hey all, first off, thanks for the amazing work on the survey and the 
post-processing led by Pete & team. I've spent some time studying the 
analysis (
https://github.com/jupyter/design/tree/master/surveys/2015-notebook-ux/ 
)
 
and cannot get any jupyter.cloudet.xyz link to work. It leads me to an odd 
looking site (see image attached). Can someone provide guidance? 
Disclaimer: I am a Business Developer, not a real Developer ; ) ... thanks 
in advance 

On Wednesday, March 30, 2016 at 10:31:55 PM UTC-7, Peter Parente wrote:
>
> > Now, let's get analyzing!
>
> Some of my colleagues and I have been slowly working on an analysis of the 
> UX survey results. We submitted a PR (
> https://github.com/jupyter/design/pull/24) including our various 
> notebooks and intermediate data files against the jupyter/design repo. The 
> PR merged yesterday and so everything is now available on GitHub (
> https://github.com/jupyter/design/tree/master/surveys/2015-notebook-ux/analysis
>  
> 
> ).
>
> Here's a few quick and easy ways to view the results:
>
> 1. Interact with the results in a notebook-turned-dashboard on a courtesy 
> tmpnb site: 
> http://jupyter.cloudet.xyz/files/2015-notebook-ux-survey/analysis/deployed_dashboard/index.html
>  
> (note: browser intensive)
>
> 2. Open, modify, and interact with the notebook on a courtesy temporary 
> notebook server: 
> http://jupyter.cloudet.xyz/notebooks/2015-notebook-ux-survey/analysis/report_dashboard_decl_widgets.ipynb
>
> 3. Read the static notebook on GitHub: 
> https://github.com/jupyter/design/blob/master/surveys/2015-notebook-ux/analysis/report_dashboard.ipynb
>
> Many thanks to Justin Tyberg who helped with the analysis, plus Angel Luu 
> and Adam Peller who spent time making the notebook/dashboard more 
> interactive than our first draft.
>
> Cheers,
> Pete
>
>
> On Tuesday, January 19, 2016 at 3:25:44 PM UTC-8, Fernando Perez wrote:
>>
>> On Mon, Jan 18, 2016 at 9:39 AM, Peter Parente  wrote:
>>
>>> We closed out the UX survey last Friday as planned. All total, we had 
>>> 1706 visits to the survey link. About 46% of the visitors completed the 
>>> survey in full and submitted it at the end. The remaining 54% answered some 
>>> of the questions but navigated away before reaching the end of the survey.
>>>
>>> Many, many thanks again to all who responded. Your input is greatly 
>>> appreciated.
>>>
>>
>> I want to, additionally, thank Peter and the entire IBM team behind this. 
>> I know it took a fair amount of their time to prepare the survey and 
>> iterate on the language, and this will be very useful data moving forward.
>>  
>>
>>> Now, let's get analyzing!
>>>
>>> A CSV with 1706 rows of response data and a README describing it were 
>>> merged into the jupyter/design repository today: 
>>>
>>> https://github.com/jupyter/design/tree/master/surveys/2015-notebook-ux
>>>
>>> If you take a crack at exploring and summarizing the responses (whether 
>>> you use notebooks or not :wink:), please consider sharing your work with 
>>> the community.
>>>
>>
>> One thing that in particular would be great to have: a first-pass 
>> sanitization of the data that does some obvious things like normalizing 
>> highly similar responses to facilitate downstream analysis. If anyone does 
>> this in a way that doesn't fundamentally modify the raw data, please 
>> consider making a PR against the repo, *adding* the cleaned-up file (not 
>> replacing the original) and linking to it in the readme, with a brief 
>> explanation of the steps you took.  
>>
>> This would enable most folks to start from a common, cleaned-up version 
>> while keeping the raw data in the repo for reference.
>>
>> Cheers,
>>
>> f
>>
>>
>> -- 
>> Fernando Perez (@fperez_org; http://fperez.org)
>> fperez.net-at-gmail: mailing lists only (I ignore this when swamped!)
>> fernando.perez-at-berkeley: contact me here for any direct mail
>>
>

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