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Example metrics: number of users, number of each entity (nodes, ways, relations)
Docker file so that script can run as a command within osm-seed
Nice to have: connect a jupyter style notebook to the CSV
If we want to graph things "over time", we will need to aggregate the CSV "snapshots" of the SQL across each metric across a time period: we'll need some kind of materialized view into those CSVs so that it's efficient (instead of downloading all the CSVs).
Question / nice to have: how do we backfill the CSV snapshots?
This work is currently under way @danrademacher. I'd like to share a couple of the simple metrics that I've experimented with by querying the database dump:
Nodes/Ways/Relations over time (cumulative)
Nodes over time
NB: I've removed the entity counts from the initial import so that the charts show a sense of progression otherwise the charts become unreadable. This is because the node size of the initial import is really big compared to subsequent changes.
Other metrics / next steps
This type of chart can be done similarly for users over time.
Other metrics that I'd like to explore:
Top 10 active users
Changeset comments / word frequency
Most active areas using changeset boundaries (over time)
My immediate next steps are to create a script that will generate the data for these charts that we could potentially schedule.
We would like to create a simple metrics page:
If we want to graph things "over time", we will need to aggregate the CSV "snapshots" of the SQL across each metric across a time period: we'll need some kind of materialized view into those CSVs so that it's efficient (instead of downloading all the CSVs).
Question / nice to have: how do we backfill the CSV snapshots?
cc @geohacker @batpad
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