[sakai2-tcc] Wrapping up Tools Survey/SQL Data
Jean-Francois Leveque
jean-francois.leveque at upmc.fr
Fri Jul 12 05:23:03 PDT 2013
In tools deployed, I would normalize sakai.siteinfo to 100% because it
would make the percentages more realistic.
Cheers,
J-F
On 12/07/2013 13:07, Neal Caidin wrote:
> Okay, so since I've not heard any additional feedback, I'll publish the
> survey graphs as-is, and I'll publish the raw summary data and notify
> the community. Still not 100% sure about how to use the comments, but I
> should go back and consider them more (possibly following with specific
> institutions, etc).
>
> It might be useful, also to have another discussion about the data and
> what we think it shows. One thing that came out of this is some momentum
> to possibly include the Yale Sign up tool, the #1 used Contrib tool
> according to the survey.
>
> :-)
>
> Cheers,
> Neal
>
>
>
> On Wed, Jul 10, 2013 at 4:51 PM, Neal Caidin <neal.caidin at apereo.org
> <mailto:neal.caidin at apereo.org>> wrote:
>
> At the TCC - CLECC meeting on Tuesday, I was hearing that I should
> publish the graphs pretty much as they are. Any objections?
>
> I'm also thinking I could publish the raw aggregate data from the
> SQL, in addition to, not instead of, the charts I've produced, on
> the off chance someone may want to play with the information to
> visualize it in a different way.
>
> Any objections?
>
> Thanks,
> Neal
>
>
> On Jul 9, 2013, at 11:37 AM, Neal Caidin <neal.caidin at apereo.org
> <mailto:neal.caidin at apereo.org>> wrote:
>
> > Hi TCC !
> >
> > One of the items I was hoping to discuss at our meeting today at
> 1 pm Eastern ( 5 pm GMT) is wrapping up the Tools Survey/ SQL Data
> effort. If you were at the Open Apereo Conference, or if you've
> been checking the updates on Dropbox, this will not be completely
> new to you.
> >
> > SQL queries at -
> https://confluence.sakaiproject.org/display/TCC/CLE+Tool+Use+Queries
> >
> >
> > The enclosed files represent:
> >
> > * Tools_Survey_Results_2013 (pdf) is the same chart as you saw at
> the Open Apereo Conference except that I've stacked the tools from
> highest to lowest percent and included the percent of "yes" votes in
> parenthesis (thanks to Aaron for part or all of this suggestion) .
> >
> > * SQL_data_summary_pdf - has charts representing the aggregation
> of the Sakai Tool Events query and the Sakai Tools Placement query.
> The data for each institution was converted to a percentage and
> then aggregated, each institution's results counting for the same
> weight. Specific tools did end up getting weighted in that a tool
> might be used at one institution but not another, no normalization
> technique was attempted.
> >
> > * events_sql_aggregation.csv - the Sakai Tool Events
> aggregation - raw summary data
> >
> > * events_summary_ranking.csv - same data as
> events_sql_aggregation but rolling up a summary on the event
> "prefix", the portion of the event id that is to the left of the
> first period. For example asn.read.submission and
> asn.grade.submission would roll up under one entry - "asn" . Data
> visualized in SQL_data_summary_pdf
> >
> > * tool_sql_aggregation.csv - the Sakai Tools Placement query
> aggregation. Data visualized in SQL_data_summary_pdf
> >
> > Thoughts/Feedback
> > ------------------------------
> > I'm mostly happy with the Tools_Survey_Results_2013 and will
> publish if you are happy with that too.
> >
> > I'm not confident that the SQL_data_summary_pdf charts actually
> "say" anything meaningful. I was thinking maybe just releasing the
> raw aggregate data instead. Or maybe someone in the Community (or
> TCC) will come up with a better way to visualize.
> >
> > What do you think?
> >
> > Thanks,
> > Neal Caidin
> >
> > Sakai CLE Community Coordinator
> > Apereo Foundation
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