Description:
We are excited to present the first release of our project "Analyzing Amazon Sales Data," where we have conducted in-depth analysis to uncover valuable insights and trends. In this release, we have focused on extracting, transforming, and loading the Amazon dataset, ensuring data quality and consistency for accurate analysis. We have also created visualizations using Python and Tableau to represent sales trends month-wise, year-wise, and yearly month-wise, providing stakeholders with clear and intuitive insights.
Key Features:
- ETL Process Optimization: Preprocessed and cleaned Amazon dataset to facilitate accurate analysis.
- Visualizations: Created interactive visualizations to showcase sales trends and key metrics effectively.
- Statistical Analysis: Conducted statistical analysis to identify meaningful relationships between sales metrics and other factors.
- Documentation: Provided detailed documentation of the analysis process, methodology, and key insights for transparency and reproducibility.
- Feedback and Suggestions: Welcomed feedback and suggestions for further improvements and exploration.
Please find the attached files for detailed reports, visualizations, and documentation. We invite you to explore our findings and contribute to our ongoing analysis efforts.
Thank you for your interest and support in analyzing Amazon sales data. We look forward to collaborating with you to drive informed business decisions and improve sales performance.
Feel free to reach out to us at [email protected] for any questions or feedback.
Let's continue unraveling insights from Amazon sales data together!