This project involves a detailed analysis of sales data using Python and Jupyter Notebook. The goal is to uncover key insights and trends to inform business decisions.
Key Steps
Data Gathering:
Data Cleaning:
Analysis Highlights:
Data Visualization:
Conclusion:
How to Use
Open the Jupyter Notebook file (sales_analysis.ipynb) to explore the detailed analysis.
Ensure Python and necessary libraries are installed to run the notebook.
Repository Structure
sales_analysis.ipynb: Jupyter Notebook with the complete analysis.
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