The project involved comprehensive Data Cleaning, Visualization, and Analysis using Python. Leveraging Jupyter Notebook as the integrated development environment (IDE), key Python packages and libraries including Matplotlib, Seaborn, and pyplot were utilized for effective and visually insightful data representation.
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This project repository focuses on providing a comprehensive analysis of Coffee chain industry. Explored trends and insights using Python packages and libraries, such as Matplotlib, Seaborn, and pyplot. Uncovered key market dynamics, sales trends, customer behavior, market performance and more.
prati-y/Coffee_Chain_Analysis_Python
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This project repository focuses on providing a comprehensive analysis of Coffee chain industry. Explored trends and insights using Python packages and libraries, such as Matplotlib, Seaborn, and pyplot. Uncovered key market dynamics, sales trends, customer behavior, market performance and more.
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