User Rank matrix
This table shows how metrics are mapped to percentiles. Taking
the raw value of a user dimension (e.g. 45 uploads), walk down the uploads column
and the first value that is strictly lower than their value (e.g. 44) gives their
rank (in the left hand column). If their value is beneath the last value in the
column then their rank is zero). The data are cached for around one hour.
| Rank |
{% for n in name %}
|
{% endfor %}
{% for r in range(0, 99) %}
{% set idx = 100 - r %}
| {{ idx }} |
{% for n in name %}
{% if table[n][idx] is empty %}
⋅ |
{% else %}
{% if n in ['uploaded', 'downloaded', 'bounty'] %}
{{ table[n][idx]|octet_size }} |
{% else %}
{{ table[n][idx]|number_format }} |
{% endif %}
{% endif %}
{% endfor %}
{% endfor %}
| Rank |
{% for n in name %}
|
{% endfor %}