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 |
|---|---|---|
| Charlie Jeer | 149k | +18.25% |
| Gabriel | 80k | — |
| Tour-Maubourg | 96k | +7.49% |
| Siberia | 73k | — |
| Sunflwr | 141k | +2.09% |
| Chaos in the CBD | 204k | +4.10% |
| Delacour | 135k | +9.35% |
| Laurence Guy | 196k | +2.66% |
| Folamour | 208k | +2.98% |
| Bolden. | 168k | +8.44% |
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