Thanks for providing this tool, Greg. I've found it very useful so far for adding address information based on the possible matches identified on the second map, where most of the dots have a link both to OSM and to the FHRS entry.

However, I've now reached the stage where I need to look more at the upper map, where there seem to be fewer clickable links. If you could provide links to OSM for every dot on the map, that would be helpful. (If you're showing them on your map, you must have derived a long/lat which you could link to.)


Hoping that this is not an unreasonable request - and apologies if it is.

Regards,
Steve



On 11/10/2016 07:37, Greg wrote:
These district statistics CSV files will now be copied each day to 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 <mailto: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 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

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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