🎵 Spotify Artist Dataset Analysis

This project analyzes metadata about music artists on Spotify, focusing on their popularity, followers, and genre diversity. The dataset is sourced from Kaggle and includes artist-level information like genre tags and engagement metrics.

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1. 📊 Methodology

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2. 📋 Description

• 📁 Dataset: Spotify Artist Dataset (Kaggle)
• 🔢 Total Artists: 110,349
• 🧹 Preprocessing: Removed duplicates & nulls, converted genre strings to lists
• 📊 Key Columns:
  • id: Unique artist ID
  • name: Artist name
  • followers: Number of Spotify followers
  • genres: List of associated genres
  • popularity: Score (0–100)

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3. 🔁 Input / Output Examples

Query	Result
Top Followed Artist	Ed Sheeran (78M followers)
Top Popular Artist	Ed Sheeran (Popularity 100)
Most Common Genre	Pop
Genre with Highest Avg. Popularity	Trap Metal Italiana (Popularity ~74)

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4. 📊 Visual Summary

• 📉 Popularity Distribution: Majority of artists have a popularity score of 0
• 📈 Followers vs Popularity: Positive correlation, but not linear
• 🎧 Genre Spread: Highly diverse with long tail of niche genres