As the Data Analyst & EDA Developer behind the project "Analysis of Top 10 Spotify Artists & Songs played in 2023," I utilized Pandas for loading and manipulating Spotify user data, ensuring efficient data processing and analysis. Employing Seaborn and Matplotlib, I visualized trends in user listening behavior, enhancing the understanding of music preferences. Leveraging NumPy for statistical analysis, I provided insights into user behavior, such as frequency of song plays and artist popularity.
Additionally, I utilized Jupyter notebooks for interactive documentation, allowing for code exploration and explanation of analysis methods. The project is hosted on GitHub for version control and project sharing, enabling transparency and collaboration with others interested in music data analysis.