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Tracking Music Trends: Spotify Songs and Artists Over Time

This project focuses on identifying trends in song and artist popularity over time by analyzing streaming data from Spotify. The goal is to discover how music trends have evolved and to determine the most-streamed songs and artists by year and overall.

Here’s a breakdown of the approach:

  1. Loading Libraries and Data
  2. Data Preparation
  3. Top Songs by Year
  4. Top 10 Songs Overall
  5. Time Series Plot
  6. Scatter Plot of Streams vs. Release Year
  7. Correlation Check
  8. Regression Analysis
  9. Artist Analysis

This project offers insights into streaming patterns and the staying power of artists and songs across various periods.

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Python project made on Google Colab, analyzing a Spotify dataset from Kaggle.

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