This Tableau project aims to provide an in-depth analysis of the Spotify dataset, exploring various trends and patterns in the music industry. The project utilizes Tableau for data visualization and analysis.
The dataset used in this project is sourced from Spotify and includes various attributes of songs, such as danceability, energy, key, loudness, mode, speechiness, acousticness, instrumentalness, liveness, valence, tempo, duration_ms, time_signature, and others. The dataset covers a diverse range of songs from different genres and periods.
The project is structured into various dashboards and visualizations that provide insights into different aspects of the Spotify dataset. Each dashboard focuses on a specific theme or analysis area, such as:
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General Trends: Analyzing the general trends in the dataset, including the distribution of songs across genres, popularity, and other key attributes.
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Genre Analysis: Exploring the characteristics and popularity of different music genres, including trends over time and regional preferences.
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Artist Insights: Providing insights into popular artists, their contribution to the dataset, and the characteristics of their top tracks.
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User Preferences: Understanding user preferences and behavior, including popular tracks, time of day preferences, and user-generated playlists.
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Time Analysis: Investigating trends in music over time, including changes in popular styles, tempo, and other key attributes.
To access and utilize the Tableau project, follow these steps:
- Ensure you have Tableau installed on your system.
- Download or clone this repository to your local machine.
- Open Tableau and import the provided dataset.
- Open the Tableau project file (.twb or .twbx) to access the dashboards and visualizations.
The project is dependent on the following software and libraries:
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Tableau
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Dataset
(The link of the dataset : https://drive.google.com/drive/u/0/folders/1_vkWMWmSHEtHsCzk8bDDqFPC3hzdJo4p)
Contributions to the project are welcome. If you have any suggestions or improvements, please feel free to create a pull request or raise an issue in the repository.
This project is licensed under the MIT License.
For any inquiries or further information, please contact K Sansita at [email protected].