Section: Video platforms · yt
The YouTube page focuses on subscribers, video volume, channel views, and VR/LR/CR medians. What matters here is not just subscriber count, but also video quality and publishing frequency.
A metric table, worked examples, and short platform-specific notes.
All numbers are illustrative. They are here to explain the formula, not to describe a specific account.
| Metric | Key | Type | How to read it |
|---|---|---|---|
| YT subs | yt_subscriberCount |
Count | A direct count without extra recalculation. |
| Videos | yt_videoCount |
Count | A direct count without extra recalculation. |
| Total views | yt_viewCount |
Count | A direct count without extra recalculation. |
| Publication rate | yt_ppd |
Posting rate | How many publications come out per day on average within the selected period. |
| VR (median) | VR_median |
Percent | Typical VR across publications. |
| Like rate (median) | LR_median |
Percent | Typical LR across publications. |
| Comment rate (median) | CR_median |
Percent | Typical comment rate across publications. |
For video platforms, posting frequency and typical per-video metrics are usually the most important. Below is a sample calculation.
8 / 28median([4.20, 5, 6.80, 9.30, 12.10])median([1.10, 1.40, 1.70, 2, 2.80])median([0.08, 0.10, 0.12, 0.16, 0.20])Sum of views across all videos included in the analysisIf there are no valid values for a median, dstat returns an empty field rather than a fake 0%.
VR_median, LR_median, and CR_median are medians of per-video values rather than totals for the whole channel.yt_ppd shows how often the channel published videos in the selected period.average_duration_sec, upload_consistency, and best_weekday add context but do not replace the quality medians.