These district statistics CSV files will now be copied each day to 
http://gregrs.dev.openstreetmap.org/fhrs-stats/ 
<http://gregrs.dev.openstreetmap.org/fhrs-stats/>, so there will be a file per 
day in case anyone would like to track progress.

Thanks,
Greg


> On 9 Oct 2016, at 21:00, Greg <gre...@fastmail.co.uk> wrote:
> 
> The python-fhrs-osm tool will now create a CSV file containing statistics for 
> each district each day, which should allow detailed tracking. It will be 
> located at http://gregrs.dev.openstreetmap.org/fhrs/stats-yyyy-mm-dd.csv 
> <http://gregrs.dev.openstreetmap.org/fhrs/stats-yyyy-mm-dd.csv> once the tool 
> runs this evening.
> 
> Thanks,
> Greg
> 
> 
>> On 4 Oct 2016, at 17:58, Greg <gre...@fastmail.co.uk 
>> <mailto:gre...@fastmail.co.uk>> wrote:
>> 
>> In case it's useful for tracking, you can get the full list of tags used
>> by my comparison tool at the link below. The tool downloads nodes/ways
>> with those tags and any nodes/ways with an fhrs:id tag set.
>> 
>> https://github.com/gregrs-uk/python-fhrs-osm/blob/master/filter-osm.sh#L5-L13
>>  
>> <https://github.com/gregrs-uk/python-fhrs-osm/blob/master/filter-osm.sh#L5-L13>
>> 
>> Thanks,
>> Greg
>> 
>> 
>> On 02/10/16 17:38, Robert Whittaker (OSM lists) wrote:
>> 
>>> Off the top of my head, I'd have thought it would be good to know
>>> about number of instances of fhrs:id=* and addr:postcode=*, and
>>> numbers of eating type places (perhaps just one count for all
>>> amenity=cafe|restaurant|fast_food|pub|bar). Maybe also the
>>> number/proportion of such places that have a name tag. Possibly you
>>> could do other measures postcode progress, such as number of unique
>>> correctly-formatted postcodes in addr:postcode tags and/or number of
>>> postcode sectors ("AB12 X..") with at least one addr:postcode tagged.
>> 
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