select
snapshot_date, week_number, listeners, playcount,
listener_delta, listener_pct_change, listeners_indexed
from api_artist_timeseries
where artist_id = $1
order by snapshot_date ascIndexed to 100 at each series' first observation.
select
ts.snapshot_date, ts.week_number, ts.listeners, ts.listeners_indexed,
cw.artist_count, cw.p25_indexed, cw.median_indexed, cw.p75_indexed
from api_artist_timeseries ts
left join api_cohort_weekly cw
on cw.cohort_type = $2 -- 'genre' or 'size_band'
and cw.cohort_key = $3 -- primary_genre or size_band
and cw.snapshot_date = ts.snapshot_date
where ts.artist_id = $1
order by ts.snapshot_date asc| Artist | Listeners | 13-week growth |
|---|---|---|
| Cinderella | 703k | +1.33% |
| Skid Row | 1.2M | +1.57% |
| Loverboy | 701k | +1.84% |
| Mr. Big | 793k | +1.14% |
| Warrant | 798k | +5.50% |
| Extreme | 1.1M | +1.42% |
| Poison | 1.2M | +2.02% |
| Ratt | 658k | +1.55% |
| Dokken | 447k | +1.57% |
select
similar_artist_id, slug, display_name, size_band,
latest_listeners, total_pct_growth, weeks_tracked, similarity_score, rank
from api_artist_similar
where artist_id = $1
order by rank ascselect *
from api_artist_profile
where artist_id = $1