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https://github.com/shubham200137/spotify-listening-habits-analytics

Spotify Listening Habits Analytics is a project aimed at analyzing personalized Spotify listening habits and music trends. It involves Exploratory Data Analysis (EDA) with Python Pandas, data processing using SQL Server, and creating visualizations with Power BI. The goal is to uncover insights into listening patterns, track popularity, and artist.
https://github.com/shubham200137/spotify-listening-habits-analytics

data-analysis data-visualization exploratory-data-analysis jupyter-notebook pandas power-bi-dashboard sqlserver

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Spotify Listening Habits Analytics is a project aimed at analyzing personalized Spotify listening habits and music trends. It involves Exploratory Data Analysis (EDA) with Python Pandas, data processing using SQL Server, and creating visualizations with Power BI. The goal is to uncover insights into listening patterns, track popularity, and artist.

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README 

        
# Spotify Listening Habits Analytics



Spotify Listening Habits Analytics is a project aimed at analyzing personalized Spotify listening habits and music trends from July 2023 to July 2024. The project involves Exploratory Data Analysis (EDA) using Python Pandas Library and Jupyter Notebook, data processing with SQL Server, and visualizations with Power BI. The objective is to uncover insights into listening patterns, track popularity, and artist engagement.

## Project Overview



As a data analyst, the goal is to explore, process, and analyze Spotify data to provide actionable insights and visualizations. The complete analysis and findings are detailed in the `EDA_Spotify_Data.ipynb` Jupyter Notebook file.



## **Data Source**



The data used for this analysis was obtained from Spotify through the following steps:



1. **Log in to Spotify**: Log in to your Spotify account.

2. **Navigate to Privacy Settings**: Go to your account settings and select the Privacy Settings.

3. **Request Your Data**: In the Privacy Settings, find the "Download Your Data" section and start a request.

4. **Wait for Data**: Spotify will process your request and send you an email with a download link within 30 days.

5. **Download Data**: Download the data provided by Spotify, which includes your listening history and other relevant information.



For detailed instructions on how to request your data and use the Spotify API, refer to the [Spotify API Documentation](https://developer.spotify.com/documentation/web-api/).



## Data Analysis and Visualization



- **Exploratory Data Analysis (EDA)**: Perform analysis and preprocessing of Spotify data using Python's pandas library. Check the `EDA_Spotify_Data.ipynb` file for detailed steps and analysis.



- **SQL Server**: Use SQL Server to manipulate and query data for further insights.Check the `SQL_Analysis.sql` file for detailed steps and analysis.



- **Power BI**: Interactive dashboards and visualizations created to illustrate listening habits, track popularity, and artist engagement. Open the Power BI file `Spotify_Listening_Habits_Insights.pbix` for a comprehensive view.



## Case Study Visuals



The visualizations created for this project can be accessed through the following Power BI report:



[Power BI Dashboard](https://docs.google.com/presentation/d/1q5Du616zGu-EV3cG9kcGbJYSpoLwrdVK/edit?usp=drive_link&ouid=101647169591373102805&rtpof=true&sd=true)



Please refer to the provided links for more information on the data analysis process, visualizations, presentation to stakeholders, and the data source.