home / songs

charts

5 rows where song_id = "1d056b2178f5a76dee61d117589a65ec"

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: meter

id ▼ song_id steps jumps beats type difficulty meter
1d056b2178f5a76dee61d117589a65ec-beginner-7 Obsession 1d056b2178f5a76dee61d117589a65ec 1183 8 584 dance-single: beginner 7
1d056b2178f5a76dee61d117589a65ec-challenge-12 Obsession 1d056b2178f5a76dee61d117589a65ec 2239 8 584 dance-single: challenge 12
1d056b2178f5a76dee61d117589a65ec-easy-10 Obsession 1d056b2178f5a76dee61d117589a65ec 1302 8 584 dance-single: easy 10
1d056b2178f5a76dee61d117589a65ec-hard-11 Obsession 1d056b2178f5a76dee61d117589a65ec 1793 8 584 dance-single: hard 11
1d056b2178f5a76dee61d117589a65ec-medium-11 Obsession 1d056b2178f5a76dee61d117589a65ec 1548 8 584 dance-single: medium 11

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options:

CREATE TABLE [charts] (
   [song_id] TEXT REFERENCES [songs]([id]),
   [steps] INTEGER,
   [jumps] INTEGER,
   [beats] INTEGER,
   [type] TEXT,
   [difficulty] TEXT,
   [meter] INTEGER,
   [id] TEXT PRIMARY KEY
);
Powered by Datasette · Queries took 336.89ms