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@JaehoonSong12 JaehoonSong12 released this 06 Dec 18:26
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v1.1.1
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Merged from v1.0.0. This is the version for prototype v1 final project submission!

Prototype Release Note (v1)

Project Overview

Project Title:
"Unveiling Music Trends: A Journey Through Time, Culture, and Listener Preferences"

Description:
The prototype offers an immersive exploration of how music genres, artists, and listener preferences have evolved over time, shaped by and shaping cultural identities across generations and regions. It features an interactive and visually engaging platform with storytelling and data visualizations.

Key Highlights

  • Clean Web Interface: Intuitive navigation across multiple sections.
  • Interactive Visualizations:
    • Visualization 1: Genre popularity heatmap showcasing music preference shifts over time.
    • Visualization 2: Scatterplot relating track attributes (e.g., danceability, energy) to popularity.
    • Visualization 3: Bubble chart revealing top artists' dominance by streams.
  • Narrative Flow: A compelling storyboard connects data-driven insights to broader societal and cultural changes.

Contributors

  • Jaehoon Song
  • Yashman Singh
  • Devika Rangnath Papal

Dataset Update

Sources:

  • Historical Genre Trends: Listener engagement across decades.
  • Artist Popularity Metrics: Derived from streaming platforms and historical records.
  • Track-Level Attributes: Analysis of audio features (e.g., energy, danceability).

Datasets Included:

  1. top_10000.csv:
    • Track details: names, artists, release dates, genres, Spotify features (danceability, energy, loudness, valence), and preview links.
  2. songs_normalize.csv:
    • Song attributes: duration, explicitness, release years, key audio features (e.g., acousticness, instrumentalness), and genre associations.
  3. most_streamed.csv:
    • Data on top-streamed tracks: stream counts, release dates, playlist/chart appearances, tempo, and musical composition features.

Future Updates:
Next iterations will incorporate listener demographics and regional trends for enhanced granularity.

Storyboard Presentation

Key Sections:

  1. Introduction and Vision:
    Explores the connection between music trends and cultural identities.
  2. Interactive Visualizations:
    • Genre Heatmap: Tracks preference changes over time.
    • Scatterplot: Examines track attributes' impact on popularity.
    • Bubble Chart: Analyzes artist dominance by streams.
  3. Narrative Flow:
    • Begins with a broad overview of the music industry's evolution.
    • Explores specific insights into genres and listener behaviors.
    • Reflects on cultural patterns and music's role in global connectivity.

Goal:
Integrate storytelling with visual data for an engaging user experience.

Next Steps

This prototype lays the foundation for future development. Feedback from this release will inform improvements in both functionality and content for subsequent versions.

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