Song Popularity Dataset

Song Popularity Prediction - Regression Problem

@kaggle.yasserh_song_popularity_dataset

Table List

1 table(775.19 KB)

Song Data

@kaggle.yasserh_song_popularity_dataset.song_data

775.19 KB
18835 rows
15 columns

song_name Song Name	song_popularity Song Popularity	song_duration_ms Song Duration Ms	acousticness Acousticness	danceability Danceability	energy Energy	instrumentalness Instrumentalness	key Key	liveness Liveness	loudness Loudness	audio_mode Audio Mode	speechiness Speechiness	tempo Tempo	time_signature Time Signature	audio_valence Audio Valence
Boulevard of Broken Dreams	73	262333	0.00552	0.496	0.682	0.0000294	8	0.0589	-4.095	1	0.0294	167.06	4	0.474
In The End	66	216933	0.0103	0.542	0.853		3	0.108	-6.407		0.0498	105.256	4	0.37
Seven Nation Army	76	231733	0.00817	0.737	0.4629999999999999	0.447		0.255	-7.827999999999999	1	0.0792	123.881	4	0.324
By The Way	74	216933	0.0264	0.451	0.97	0.00355		0.102	-4.938	1	0.107	122.444	4	0.198
How You Remind Me	56	223826	0.0009539999999999	0.447	0.7659999999999999		10	0.113	-5.065	1	0.0313	172.011	4	0.574
Bring Me To Life	80	235893	0.00895	0.316	0.945	0.00000185	4	0.396	-3.169		0.124	189.931	4	0.32
Last Resort	81	199893	0.000504	0.581	0.887	0.0011099999999999	4	0.268	-3.659		0.0624	90.578	4	0.7240000000000001
Are You Gonna Be My Girl	76	213800	0.00148	0.613	0.953	0.000582	2	0.152	-3.435	1	0.0855	105.046	4	0.537
Mr. Brightside	80	222586	0.00108	0.33	0.936		1	0.0926	-3.66	1	0.0917	148.112	4	0.2339999999999999
Sex on Fire	81	203346	0.00172	0.542	0.905	0.0104	9	0.136	-5.653	1	0.054	153.398	4	0.374


CREATE TABLE song_data (
  "song_name" VARCHAR,
  "song_popularity" BIGINT,
  "song_duration_ms" BIGINT,
  "acousticness" DOUBLE,
  "danceability" DOUBLE,
  "energy" DOUBLE,
  "instrumentalness" DOUBLE,
  "key" BIGINT,
  "liveness" DOUBLE,
  "loudness" DOUBLE,
  "audio_mode" BIGINT,
  "speechiness" DOUBLE,
  "tempo" DOUBLE,
  "time_signature" BIGINT,
  "audio_valence" DOUBLE
);