Name: Kendrick Lamar Discography
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Kendrick Lamar Discography

This dataset contains comprehensive streaming data on Kendrick Lamar, meticulously extracted from Spotify. It offers in-depth insights into his innovative discography, detailing song attributes, popularity metrics, and collaborations. Whether you’re a fan captivated by Kendrick’s poetic lyricism or a researcher aiming to analyze trends in modern hip-hop and rap, this dataset is a powerful tool for exploring music trends, sentiment, and artistic influence.

Applications of the Dataset:
Music Trend Analysis:
Examine the evolution of Kendrick Lamar’s music and lyrical themes over time, identifying key turning points in his career.

Collaboration Insights:
Delve into his collaborative efforts, analyzing the artists Kendrick frequently works with and how those partnerships influence track features and success.

Featured Tracks Analysis:
Investigate songs where Kendrick is a featured artist, assessing how his contributions elevate their musical and commercial appeal.

Audio Feature Exploration:
Explore acoustic and musical characteristics such as tempo, energy, and valence, which define Kendrick’s distinctive sound and appeal.

Sentiment & Mood Analysis:
Assess the emotional depth and tonal shifts across his discography to understand the underlying narratives and themes.

Data Visualization Projects:
Create engaging visualizations to showcase Kendrick’s artistic journey, including timelines, heatmaps, or genre correlations.

Tables

Kendrick Tracks New

@kaggle.willianoliveiragibin_kendrick_lamar_discography.kendrick_tracks_new

52.79 KB
305 rows
21 columns


CREATE TABLE kendrick_tracks_new (
  "artist_name" VARCHAR,
  "track_name" VARCHAR,
  "album_name" VARCHAR,
  "release_date" TIMESTAMP,
  "release_year" BIGINT,
  "is_album_track" BOOLEAN,
  "explicit" BOOLEAN,
  "is_feature" BOOLEAN,
  "popularity" BIGINT,
  "track_id" VARCHAR,
  "duration_ms" BIGINT,
  "danceability" DOUBLE,
  "energy" DOUBLE,
  "valence" DOUBLE,
  "tempo" DOUBLE,
  "loudness" DOUBLE,
  "speechiness" DOUBLE,
  "acousticness" DOUBLE,
  "instrumentalness" DOUBLE,
  "liveness" DOUBLE,
  "duration_min" VARCHAR
);