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 |
|---|---|---|
| Sean Dagher | 174k | +4.97% |
| Stan Rogers | 105k | +2.94% |
| Sail North | 72k | +6.61% |
| Nathan Evans | 399k | +3.00% |
| The Amazing Devil | 129k | +4.66% |
| Skinny Lister | 42k | +0.55% |
| Barns Courtney | 526k | +2.36% |
| Mumford & Sons | 2.7M | +1.31% |
| The Dreadnoughts | 196k | +1.57% |
| Frank Turner | 562k | +0.42% |
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