McBooCzech wrote:
Sorry for my "Ferbl typo".
No offense was caused, I was just joking.
For the local anti-smoking campaign
As a public health epidemiologist, that's the sort of application of our
project I like to see! And judging by the reports by Martin Mcgee and
colleagues at the European Public Health Observatory, such campaigns are
sorely needed in most of eastern Europe. I am sure Vaclav Havel is
convinced of the need for anti-smoking campaigns.
I am
trying to link some addresses which contain following "linkable"
informations (data fields) only:
RECORD_ID, Street + No., City, Post code,
All data are now w/o Unicode characters. Do you think it possible to
try to link it with Febrl w/o deep code modification?
Yes.
I did try to link our data but the result is just a plenty of warning
messages but no links. What is your suggestion? Please understand I do
not want to bother you with my questions. I am just asking you your
comments or pointers before I will try to dig in to the code. You
probably know some "tricks" in data organization or something like
that, which can be much easier then code digging.
I can send our CSVs to you (they are small, just about 3204 records in
the A data-set and about 1241 records in the B data-set) and a log as
well.
I have tried to organized oru files as following:
FEBRL reqirements : Our data
==============================
'rec_id': RECORD_ID,
'given_name': ""
'surname': ""
'street_num': ""
'address_part_1': ""
'address_part_2': Street + No.
'suburb': City
'postcode': Post code
'state': ""
'date_of_birth': ""
'soc_sec_id': ""
Thanks for your answer and suggestions
We would be pleased to assist - but off-list. Please send the exact text
of the error messages (the log) directly to Peter Christen and myself in
the first instance. Further discussion of these applictaon-specific
issues is not appropriate for the general Python list - but you could
report back to the Python list on your overall experience after we have
solved the problems with you.
Regards,
Tim C
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