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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

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