Spotify, a dominant music streaming platform, curates a Top 50 list highlighting the most streamed songs. This analysis delves into the 2023 edition, exploring factors like popularity, artist names, and genres. By dissecting these elements, we aim to unlock the secrets behind these global hits, uncovering the reasons why they resonate with listeners worldwide.
spotify_eda.ipynb: Jupyter Notebook containing the EDA process, including data loading, cleaning, visualization, and analysis.spotify_data.csv: Dataset file containing Spotify data in CSV format.
- Clone the repository to your local machine.
- Open the
spotify_eda.ipynbJupyter Notebook to view the analysis process. - Run the cells in the notebook to execute the code and visualize the results.
- Modify and customize the analysis as needed for your own exploration.
The analysis is performed using the following Python libraries:
- Pandas
- Matplotlib