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> 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. > > _______________________________________________ > Talk-GB mailing list > Talk-GB@openstreetmap.org > https://lists.openstreetmap.org/listinfo/talk-gb
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