Top 180 stats
From time to time I gather some top 180 stats, either from all the countries at one, either for a specific country that has enough users.
The global top 180 stats can be accessed through this page from where the other valid countries (countries with at least 180 users) can be accessed.
Those pages all contain tables and unseen users graphics. The table has the following columns:
Represents the number of top users for which the statistics are calculated.
|3||Top 3||Users with rank 1 to 3|
|10||Top 10||Users with rank 1 to 10|
|180||Top 180||Users with rank 1 to 180|
The number of users that are not seen (entering notes) in the previous 30 days. The percentage is the proportion between the number of unseen users and the number of users in that top.
If, for instance, the top 10 contains 2 unseen users the percentage would then be 20%.
Unseen Rank Sum. This is the sum of the rankings of the unseen users in that top. If this number increases and the number of unseen users remains the same, it means that one or more unseen users now have a lower ranking. If this figure drops, it either means a unseen user has left that top, or an unseen user has become visible again.
The number of notes entered by the users in that top. The percentage is the proportion between the notes entered by the within top users and the number entered either by all the users (figure on the right hand of an EBT page) or by the number of users within a specific country (found in the Countries/Bills table on EBT)
The number of notes entered by unseen users in that top. The percentage is similar to the notes percentage.
Represents the number of notes entered by the last user of that top. It is the minimum requered number of notes a user needs to enter that top.
Last INCrease of the top. This is the difference in entered notes between the last and last but one user in that top. It is the minimum number of notes the last user has to enter in order to leave that last place.
Average INCrease. This is the average number of notes between 2 consecutive users (based on ranking order). The higher this value, the higher the difference between the number of entered notes of different users.
Degressive weighed INCrease. This is similar to the average increase, but the users with a lower ranking have more weight than the higher ranked users. For every ranking you get higher, the weight is reduced with a factor 0.9. So the last user in the ranking has weight 1, while the last one has weight 0.9, and the user before that has 0.81, and so on.