This project analyzes the Spotify Top Hits from 2000 to 2019 using R, with the dataset sourced from Kaggle (https://www.kaggle.com/code/lusfernandotorres/spotify-top-hits-2000-2019-eda/data).

Data Cleaning: Handled missing values and ensured data integrity.

Analysis: Visualized song popularity, categorized songs by rating, and identified top artists.

Interactive Dashboards: Built with Shiny for exploring song features and providing feature-based song recommendations.

Time Series: Analyzed changes in song popularity and duration over the years.

Tools Used: ggplot2 and tidyverse for visualization dplyr for data manipulation shiny for interactive apps Explore the code to discover trends and patterns in music popularity!