charts

5 rows where song_id = "0db818d0553872ffa375b62cff756190"

✎ View and edit SQL

This data as json, CSV (advanced)

id ▼ song_id steps jumps beats type difficulty meter
0db818d0553872ffa375b62cff756190-beginner-1 Glitchtastic 0db818d0553872ffa375b62cff756190 83 1 268 dance-single: beginner 1
0db818d0553872ffa375b62cff756190-challenge-10 Glitchtastic 0db818d0553872ffa375b62cff756190 537 51 268 dance-single: challenge 10
0db818d0553872ffa375b62cff756190-easy-3 Glitchtastic 0db818d0553872ffa375b62cff756190 189 8 268 dance-single: easy 3
0db818d0553872ffa375b62cff756190-hard-9 Glitchtastic 0db818d0553872ffa375b62cff756190 474 4 268 dance-single: hard 9
0db818d0553872ffa375b62cff756190-medium-7 Glitchtastic 0db818d0553872ffa375b62cff756190 320 5 268 dance-single: medium 7

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
);