Re: Data cleaning workouts

Path	csiph.com!usenet.pasdenom.info!weretis.net!feeder4.news.weretis.net!feeds.phibee-telecom.net!newsfeed.xs4all.nl!newsfeed5.news.xs4all.nl!xs4all!post.news.xs4all.nl!not-for-mail
Return-Path	<fgnu32@yahoo.com>
X-Original-To	python-list@python.org
Delivered-To	python-list@mail.python.org
X-Spam-Status	OK 0.118
X-Spam-Level	*
X-Spam-Evidence	'H': 0.77; 'S': 0.00; 'python.': 0.02; 'anyway.': 0.04; 'newbie': 0.05; 'python': 0.09; 'suggest': 0.11; 'aug': 0.13; 'ideally,': 0.16; 'wrote:': 0.17; 'saying': 0.18; '(or': 0.18; 'to:name:python-list@python.org': 0.20; 'trying': 0.21; 'bit': 0.21; 'thanks.': 0.21; 'form:': 0.22; 'to:2**1': 0.23; 'header:In-Reply-To:1': 0.25; 'wondering': 0.26; 'raw': 0.27; 'url:mailman': 0.29; 'knows': 0.30; 'thursday,': 0.30; 'url:python': 0.32; '-----': 0.32; 'url:listinfo': 0.32; 'cleaning': 0.33; 'anyone': 0.33; 'to:addr:python-list': 0.33; 'reply-to:addr:yahoo.com': 0.34; 'list': 0.35; 'subject:': 0.36; 'url:org': 0.36; 'data.': 0.36; 'email addr:python.org': 0.36; 'should': 0.36; 'resources': 0.37; 'sent:': 0.37; 'data': 0.37; 'subject:: ': 0.38; 'from:': 0.38; 'some': 0.38; 'sure': 0.38; 'to:addr:python.org': 0.39; 'url:mail': 0.40; 'your': 0.60; 'more.': 0.62; 'email name:python-list': 0.62; 'dont': 0.64; 'here': 0.65; 'management': 0.65; 'subject:Data': 0.65; 'august': 0.66; 'header:Reply-To:1': 0.68; 'teach': 0.69; 'analysis': 0.70; 'special': 0.73; 'answered,': 0.84; 'basically,': 0.84; 'elevated': 0.84; 'horrible': 0.84; 'much,': 0.84; 'dirty': 0.91; 'rusi': 0.91; 'hands': 0.97
X-Yahoo-Newman-Property	ymail-3
X-Yahoo-Newman-Id	230670.92118.bm@omp1017.mail.ne1.yahoo.com
DKIM-Signature	v=1; a=rsa-sha256; c=relaxed/relaxed; d=yahoo.com; s=s1024; t=1345790897; bh=ju2ojZ9MhMCqbGQs0qpeUA5f2tHsvnNTqUa54t79D7M=; h=X-YMail-OSG:Received:X-Mailer:References:Message-ID:Date:From:Reply-To:Subject:To:In-Reply-To:MIME-Version:Content-Type:Content-Transfer-Encoding; b=MiFC3AYxPT4iT7wfMiU0N+cWri9Ba74IdyHmpyQjqo3oZCGKbAQYouatlXecrMayh/IHEb3dEXMjONPQ+C/uVoqX5pk6yuzlODSY9ORTUY1jq0GL/oZroPWvEedrH1lcnyIh5d9DrcuzEl9Yq+72VvMK1DSbdckoR0Wc/C5T5CA=
DomainKey-Signature	a=rsa-sha1; q=dns; c=nofws; s=s1024; d=yahoo.com; h=X-YMail-OSG:Received:X-Mailer:References:Message-ID:Date:From:Reply-To:Subject:To:In-Reply-To:MIME-Version:Content-Type:Content-Transfer-Encoding; b=hmI6XlqyHryeAWE8ya+pGCTpxaDrxTwAR8sz8K94vi12AuvJbrfnbh+pH7/h4hC1mglLenhCRxYOJxFsN0nGrFz/NWNhBn+1TAQ3AJl5OMofRGVHKiVv+RjrbMzK5MTQZOTTcD5vsFkxgz2jqNpz1sZIgAH4A/jm0N2E9KoePDY=;
X-YMail-OSG	cy_.kkwVM1mTP0tX3ts.4NSW4Sp3VFIc9nqEZIToxI7t9Rx .0LI9BtetuBzD8PvrJkWrfgTXWm8mJ.KeDOa64iwfc4QZ6Z2ZSZLrF1CEGoV k.9g8t0X5daXHC1r8gm_xQBjoWRDnZ5r1cy3H3gzRukrIeot7sCS.0BAqisf fXdbwm4QumHECJuoOhRMZ3gSdAKLQW44qNC4se3oE4MQBJJLTh3tkrer3ahH tKzd_fc5sdPHA07n5ziChEiw1n61WaLkMyyzw0O4pBcLeo1ZZSFehsvZj9LK _v92HuqfExnceo3UBuHkR_cmfimF0lEu.ws_yZyYHOcygEV0iBnhVZNsowUp lliFjJWgrBwotF.KRqs8C5zmz_PaQKIvGE9bo.2M9vEpSrqAaWCtKiS6F8Ly 6blTrFGK6bqjEHL8aEhkk9KODYh5Iue0ky0Iu
X-Mailer	YahooMailWebService/0.8.121.416
References	<mailman.3697.1345708456.4697.python-list@python.org> <5042082c-5764-4c87-897a-776793753f55@r1g2000pbq.googlegroups.com>
Date	Thu, 23 Aug 2012 23:48:17 -0700 (PDT)
From	Fg Nu <fgnu32@yahoo.com>
Subject	Re: Data cleaning workouts
To	rusi <rustompmody@gmail.com>, "python-list@python.org" <python-list@python.org>
In-Reply-To	<5042082c-5764-4c87-897a-776793753f55@r1g2000pbq.googlegroups.com>
MIME-Version	1.0
Content-Type	text/plain; charset=iso-8859-1
Content-Transfer-Encoding	quoted-printable
X-BeenThere	python-list@python.org
X-Mailman-Version	2.1.12
Precedence	list
Reply-To	Fg Nu <fgnu32@yahoo.com>
List-Id	General discussion list for the Python programming language <python-list.python.org>
List-Unsubscribe	<http://mail.python.org/mailman/options/python-list>, <mailto:python-list-request@python.org?subject=unsubscribe>
List-Archive	<http://mail.python.org/pipermail/python-list>
List-Post	<mailto:python-list@python.org>
List-Help	<mailto:python-list-request@python.org?subject=help>
List-Subscribe	<http://mail.python.org/mailman/listinfo/python-list>, <mailto:python-list-request@python.org?subject=subscribe>
Newsgroups	comp.lang.python
Message-ID	<mailman.3741.1345791030.4697.python-list@python.org> (permalink)
Lines	18
NNTP-Posting-Host	2001:888:2000:d::a6
X-Trace	1345791030 news.xs4all.nl 6905 [2001:888:2000:d::a6]:59576
X-Complaints-To	abuse@xs4all.nl
Xref	csiph.com comp.lang.python:27780

Show key headers only | View raw


Thanks. I will try the SciPy list. It was a bit of a hail mary anyway. Pretty sure elevated Python types don't actually get their hands dirty with data. ;)



----- Original Message -----
From: rusi <rustompmody@gmail.com>
To: python-list@python.org
Cc: 
Sent: Thursday, August 23, 2012 11:01 PM
Subject: Re: Data cleaning workouts

On Aug 23, 12:52 pm, Fg Nu <fgn...@yahoo.com> wrote:
> List folk,
>
> I am a newbie trying to get used to Python. I was wondering if anyone knows of web resources that teach good practices in data cleaning and management for statistics/analytics/machine learning, particularly using Python.
>
> Ideally, these would be exercises of the form: here is some horrible raw data --> here is what it should look like after it has been cleaned. Guidelines about steps that should always be taken, practices that should be avoided; basically, workflow of data analysis in Python with special emphasis on the cleaning part.

Since no one has answered, I suggest you narrow your searching from
'python' to 'scipy' (or 'numpy').
Also perhaps ipython.
And then perhaps try those specific mailing lists/fora.

Since I dont know this area much, not saying more.
-- 
http://mail.python.org/mailman/listinfo/python-list

Thread

Data cleaning workouts Fg Nu <fgnu32@yahoo.com> - 2012-08-23 00:52 -0700
  Re: Data cleaning workouts rusi <rustompmody@gmail.com> - 2012-08-23 23:01 -0700
    Re: Data cleaning workouts Fg Nu <fgnu32@yahoo.com> - 2012-08-23 23:48 -0700
    Re: Data cleaning workouts Mark Lawrence <breamoreboy@yahoo.co.uk> - 2012-08-24 09:16 +0100

csiph-web