Spotify 2023 Streaming Analysis

Exploring the most streamed artists, songs, and industry trends of 2023 through interactive data visualization.

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Source Code available in the repository
Github handle: saileshdwivedy30
Project: Spotify 2023 Streaming Analysis
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Deployed App: Click here
Demo Video: Watch Demo
Dataset Link: View Dataset

Overview

The Spotify 2023 Streaming Analysis App is an interactive data visualization platform that explores top streamed songs, artists, and industry trends. It enables music analysts, data enthusiasts, and industry professionals to analyze how song characteristics, playlist placements, and seasonal trends influence streaming performance.

For a detailed walkthrough, please check out the demo video linked above.

Tech Stack

  • Python – Backend scripting and data processing.
  • Pandas & NumPy – Data analysis and manipulation.
  • Plotly & Seaborn – Interactive visualizations and charts.
  • Preswald – UI framework for interactive dashboards.
  • Flask – Backend for web app deployment.
  • Git & GitHub – Version control and project collaboration.

Dataset Overview

The project utilizes the Most Streamed Spotify Songs 2023 dataset from Kaggle (linked above), containing:

  • Top streamed songs & artists
  • Streaming counts and ranking trends
  • Song attributes (BPM, energy, danceability, valence, etc.)
  • Playlist placements across streaming platforms

Features & Insights

This app provides interactive visualizations and insights into the world of Spotify streaming trends:

1️. Top Artists by Total Streams

  • Bar chart showcasing most streamed artists globally.
  • Analyze trends in artist dominance over the year.

2️. Most Streamed Songs

  • Interactive ranking chart of viral hits and long-lasting chart-toppers.

3️. Impact of BPM on Song Popularity

  • Scatter plot analyzing the correlation between tempo (BPM) and total streams.
  • Do high-energy songs perform better, or do slow-tempo ballads dominate?
  • Line chart tracking evolution of song releases over time.
  • Assess the impact of streaming platforms on independent artists.

5️. How Do Song Characteristics Affect Popularity?

  • Energy vs. Streams, Danceability vs. Streams (Scatter Plots)
  • Happiness (Valence) Analysis using Box Plot
  • Identifying traits that define viral hits.

6️. Influence of Playlist Placements on Streams

  • Comparison of playlist placements across Spotify, Apple Music, and Deezer.
  • Scatter plot: Does playlist exposure significantly boost streaming numbers?

7️. Seasonal Trends in Song Releases & Streaming

  • Monthly trends in song releases and streaming activity.
  • Identify peak months for new music releases and streaming surges.

8️. Key & Mode Distribution of Popular Songs

  • Bar chart for most common musical keys.
  • Pie chart analyzing major vs. minor modes in top songs.

Key Takeaways

  • Data-driven insights into Spotify’s 2023 streaming trends.
  • Interactive visualizations to explore artist & song performance.
  • Seasonal and playlist-driven impact on streaming numbers.
  • Deployable web app with easy-to-use filtering & analysis.

This interactive dashboard is designed for music analysts, content creators, and industry professionals to explore Spotify’s 2023 streaming trends dynamically.