Spotify Top Songs 2023 Dashboard

Project Overview

This project explores the Top Spotify Songs 2023 dataset from Kaggle, with around 2,000 records (~500 KB). It contains song metadata such as title, artist, genre, streams, mood, duration, and more.

I performed complete data cleaning, handled duplicates and missing values, and transformed numerical fields. Using Power BI, I created interactive dashboards with DAX measures and rich visuals to analyze music trends and artist performance.

Steps Performed

Fixed null and duplicated entries
Normalized string and numeric fields
Grouped data by genre, artist, mood
Calculated streams per genre and BPM stats

Key KPIs

Top Streamed Artists

Popular Genres

Track Count by Mood

BPM Distribution

Average Duration by Genre

Dashboard Snapshots

Note: This dashboard offers insights into the most streamed tracks, genre dynamics, and music mood trends for 2023.