DataSets Links https://www.kaggle.com/datasets/zaheenhamidani/ultimate-spotify-tracks-db?resource=download https://www.kaggle.com/datasets/lehaknarnauli/spotify-datasets
Data Preparation and Initial Exploration: ● Data Cleaning and Preprocessing ● Exploratory Data Analysis (EDA)
Probing Track Popularity and Audio Feature Insights: ● Popularity Spectrum ● Correlation Mapping ● Regression Insights
Genre Analysis and Intricacies: ● Supplementary Genre Dataset ● Duration Exploration ● Popular Genre Profiling
Key Findings and Derived Insights: ● Feature Significance: The analysis illuminated pivotal audio features wielding considerable influence over a track's allure and subsequent popularity on Spotify. ● Genre Fabric: Unraveled the complex tapestry of music genres, delineating their temporal nuances and the variances in popularity that define the musical preferences of audiences. ● Intricacies and Patterns: Dived deep into the labyrinth of correlations and patterns among audio features, unraveling the intricacies that resonate with listeners' tastes and preferences.