Viewing a saved revision (read-only)
7fbf2a8d5dbd4522a7bfe2afc9fd1e8b
Most Streamed Spotify Songs 2023
This example displays the first record from the Spotify 2023 dataset as raw JSON in a preformatted block, using a fixed font size of 36 pixels to emphasize the data structure. The visualization parses numeric fields like streams, BPM, and danceability percentages from the CSV before rendering. It uses the Vue framework to manage the container and imports the dataset file directly, showcasing the data's schema and attribute types without additional charting libraries.
AI-generated descriptionDataset Overview: The Spotify 2023 Dataset includes data on popular tracks from 2023, focusing on key attributes such as popularity, danceability, energy, and acoustic features. This dataset is ideal for analyzing trends in the music industry, identifying characteristics that contribute to a song’s popularity, and exploring the diversity of genres and artists on the platform.
Dataset Breakdown:
track_name: The name of the song. artist(s)name: The artist(s) who performed the song. released_year: The year the song was released. streams: The total number of streams on Spotify. bpm: Beats per minute (tempo of the song). danceability%: A measure of how suitable a track is for dancing (0-100%). valence_%: Positivity of the track (0-100%). energy_%: The energy level of the track (0-100%). acousticness_%: Acoustic quality of the track (0-100%). liveness_%: The probability that the track was performed live (0-100%).
Link to the original source: https://www.kaggle.com/datasets/nelgiriyewithana/top-spotify-songs-2023