So I’ve had a look at the raw data, and for anyone that is interested but doesn’t want to interpret it, here are some statistics, from what I can calculate. Always willing to be proven wrong if someone else has different values, thats the beauty of Open Source.
580 Taggers - Although with many people experiencing errors and logging out, and working outside of their account, this value is probably greater than the actual amount of PEOPLE that inputted data. Equally, due to the nature of the data capture, whereby I assume it only captures the Tagger ID of the first person to identify a point, this could actually not be representative of the amount of users, as it is possible that some of the later taggers may never have identified a new point.
13,411 Unique tags, consisting of 124,173 in total (maybe more, depending on how the “Agreement” column is used). Broken down into:
31 Blocked Bridges
1,968 Flooded / Blocked Roads (bear in mind tags were applied along the length, or at junctions, depending on the tagger)
11,313 Flooded / Damaged Buildings
99 Trash Heaps
If you then apply the 10x approach to this data, so that only points with agreement of 10 taggers is accepted, we get the following:
4,144 Unique tags, consisting of 69,567 in total. Broken down into:
5 Blocked Bridges
402 Flooded / Blocked Roads (bear in mind tags were applied along the length, or at junctions, depending on the tagger - but this is more likely to be an accurate representation consider 10 taggers identified these points)
3,716 Flooded / Damaged Buildings
21 Trash Heaps
Hope this helps anyone else that was as curious as I was.
If anyone else is curious about a statistic, let me know and I’ll do my best and see if I can extract it from the data
Oh one statistic I forgot to add:
The tagger with the most tags totalled 778, was the catchily named (ID) 3234567. Congratulations to you!
However due to the nature of the data, I don’t think its actually possible to get the true number that each person added (although you will know yourselves). So what the previous statistic probably shows us is that this user was the first user to identify 778 points, which any other tags from users just get added into the “agreement” column.