Data Analytics With Python

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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

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