I'd like to submit to this group that no batch job is necessary to compute
many useful statistics - rather with a suitable representation an indexed
event stream of mailing list messages, commits, releases, etc... can be
searched aggregated and visualized in real-time.
Hacked a bit this afternoon
Betty James wrote:
How do I get off this thread. don't know how I got on
Just follow the instructions others have already provided. I'm putting
you in CC in case you have already unsubscribed from this discussion list.
but I am just a totally ignorant individual using Open Office and tryi
Le mercredi 6 mai 2015 12:48:34 Steve Blackmon a écrit :
> > For visualization, for sure, json is the current natural format when data
> > is consumed from the browser.
> > I don't have great experience on this, and what I'm missing with json
> > currently is a common practice on documenting a stru
If you want to unsubscribe, please find instructions at
http://apache.org/foundation/mailinglists.html
And the name of this list is dev@community.apache.org
Cheers
Niclas
On Thu, May 7, 2015 at 7:48 AM, Betty James wrote:
> Oh my gosh. How do I get off this thread. don't know how I got on, b
Oh my gosh. How do I get off this thread. don't know how I got on, but I
am just a totally ignorant individual using Open Office and trying to
donate (which doesn't sound necessary anymore)so unless you are in good
shape and in your 70's try to figure out how I can get off the list!
Betty B.
> For visualization, for sure, json is the current natural format when data is
> consumed from the browser.
> I don't have great experience on this, and what I'm missing with json
> currently is a common practice on documenting a structure: are there common
> practices?
In podling streams [0], we
Hi all,
Le 06/05/2015 03:26, Shane Curcuru a écrit :
Drat. Metrics Grimoire looks pretty nifty - essentially a set of
frameworks for extracting metadata from a bunch of sources - but it's
GPL, so personally I have no interest in working on it. If someone else
uses it to generate datasets that
Le mardi 5 mai 2015 21:26:36 Shane Curcuru a écrit :
> On 5/5/15 7:33 AM, Boris Baldassari wrote:
> > Hi Folks,
> >
> > Sorry for the late answer on this thread. Don't know what has been done
> > since then, but I've some experience to share on this, so here are my 2c..
>
> No, more input is alwa
On 5/5/15 7:33 AM, Boris Baldassari wrote:
> Hi Folks,
>
> Sorry for the late answer on this thread. Don't know what has been done
> since then, but I've some experience to share on this, so here are my 2c..
No, more input is always appreciated! Hervé is doing some
centralization of the projects
> On 05 May 2015, at 07:33, Boris Baldassari
> wrote:
>
> Hi Folks,
>
> Sorry for the late answer on this thread. Don't know what has been done since
> then, but I've some experience to share on this, so here are my 2c..
>
> * Parsing dates and time zones:
> If you are to use Perl, the Date:
Hi Folks,
Sorry for the late answer on this thread. Don't know what has been done
since then, but I've some experience to share on this, so here are my 2c..
* Parsing dates and time zones:
If you are to use Perl, the Date::Parse module handles dates and time
zones pretty well. As for Python I
On 04/27/2015 09:36 AM, Shane Curcuru wrote:
I'm interested in working on some visualizations of mailing list
activity over time, in particular some simple analyses, like thread
length/participants and the like. Given that the raw data can all be
precomputed from mbox archives, is there any se
On 4/27/15 2:29 PM, Rob Weir wrote:
> On Mon, Apr 27, 2015 at 9:36 AM, Shane Curcuru wrote:
...
> If you do Python, you might take a look at
> https://svn.apache.org/repos/asf/openoffice/devtools/list-stats/ for a
> simple program that could be adapted easily enough. It uses the
> Python mailbox
On Mon, Apr 27, 2015 at 9:36 AM, Shane Curcuru wrote:
> I'm interested in working on some visualizations of mailing list
> activity over time, in particular some simple analyses, like thread
> length/participants and the like. Given that the raw data can all be
> precomputed from mbox archives, i
I'm interested in working on some visualizations of mailing list
activity over time, in particular some simple analyses, like thread
length/participants and the like. Given that the raw data can all be
precomputed from mbox archives, is there any semi-standard way to
distill and save metadata abou
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