From: Tarlika Elisabeth Schmitz <postgresql3@numerixtechnology.de>
To: pgsql-sql@postgresql.org
Subject: Re: extracting location info from string
Date: Wed, 25 May 2011 22:13:42 +0100
Message-ID: <20110525221342.14e34046@dick.coachhouse> (raw)
In-Reply-To: <4DDD1F7C.5040008@gmail.com>
References: <20110522210526.0f8b66fa@dick.coachhouse>
<20110522230041.28d1bc35@dick.coachhouse>
<BANLkTikGzsrvXprLXeN3TxZwA=M8fzkn=g@mail.gmail.com>
<4DD9BB87.7070000@postnewspapers.com.au>
<ircnj2$cpt$1@news.albasani.net>
<20110523163341.56edb1aa@dick.coachhouse>
<irgo1v$dbv$1@news.albasani.net>
<4DDD1F7C.5040008@gmail.com>
On Wed, 25 May 2011 09:25:48 -0600
Rob Sargent <robjsargent@gmail.com> wrote:
>
>
>On 05/24/2011 10:57 AM, Lew wrote:
>> Tarlika Elisabeth Schmitz wrote:
>>
>>> CREATE TABLE person
>>> (
>>> id integer NOT NULL,
>>> "name" character varying(256) NOT NULL,
>>> "location" character varying(256),
>>> CONSTRAINT person_pkey PRIMARY KEY (id)
>>> );
>>>
>>> this was just a TEMPORARY table I created for quick analysis
>>> of my CSV data (now renamed to temp_person).
CREATE TABLE country
(
id character varying(3) NOT NULL, -- alpha-3 code
"name" character varying(50) NOT NULL,
CONSTRAINT country_pkey PRIMARY KEY (id)
);
>To minimize the ultimately quite necessary human adjudication, one
>might make good use of what is often termed "crowd sourcing": Keep
>all the distinct "hand entered" values and a map to the final human
>assessment.
I was wondering how to do just that. I don't think it would be a good
idea to hard code this into the clean-up script. Take, for instance,
variations of COUNTRY.NAME spelling. Where would I store these?
I could do with a concept for this problem, which applies to a lot of
string-type info.
--
Best Regards,
Tarlika Elisabeth Schmitz
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To: pgsql-sql@postgresql.org
Cc: postgresql3@numerixtechnology.de
Subject: Re: extracting location info from string
In-Reply-To: <20110525221342.14e34046@dick.coachhouse>
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