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https://github.com/ayushsiloiya619/spotify-song-analysis
Data Analytics with Python
https://github.com/ayushsiloiya619/spotify-song-analysis
data-analysis matplotlib-pyplot pandas-dataframe python3 seaborn
Last synced: about 2 months ago
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Data Analytics with Python
- Host: GitHub
- URL: https://github.com/ayushsiloiya619/spotify-song-analysis
- Owner: ayushsiloiya619
- Created: 2024-03-19T03:54:54.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-03-21T08:44:34.000Z (10 months ago)
- Last Synced: 2024-03-26T04:12:46.955Z (10 months ago)
- Topics: data-analysis, matplotlib-pyplot, pandas-dataframe, python3, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 1.84 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Data Analytics With Python
## Workflow:
1. **Data Collection and Preprocessing**
- Gather data from Spotify API or CSV files.
- Clean and preprocess the data to ensure data quality.2. **Exploratory Data Analysis (EDA)**
- Use Pandas and Seaborn for EDA to understand the dataset's structure.
- Visualize relationships between energy and popularity using plots and charts.3. **Statistical Analysis**
- Perform statistical tests to determine correlations and significance.
- Explore patterns and trends in the data related to song characteristics..4. **Documentation and Presentation**
- Document code, analysis steps, and findings in Jupyter Notebooks or Markdown files.
- Create visualizations and summaries for presentation and reporting.## Tools and Libraries:
- Python
- Pandas
- Seaborn
- Jupyter Notebooks
- Matplotlib---