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 |
|---|---|---|
| wave to earth | 912k | +6.42% |
| cykim | 103k | +13.43% |
| Lace | 162k | +17.92% |
| Ebril | 111k | +30.27% |
| Rio | 215k | +2.70% |
| HangSung | 67k | +6.84% |
| Apro | 101k | +3.42% |
| Daniel | 329k | +4.14% |
| dosii | 282k | +2.58% |
| PRYVT | 132k | +7.05% |
| Dvwn | 233k | +2.76% |
| Colde | 539k | +4.06% |
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