Sales Data Analysis Project

Project Overview

• Purpose: Analyze sales data for business decision-making.
• Tools Used: Python for data analysis, Power BI for final visualizations.

In this project "Sales Data Analysis" I focused on extracting valuable insights from sales data to support data-driven decision-making. This analysis will help to uncover sales trends, identify top-selling products, and calculate essential revenue metrics.

Project Components:

Data Analysis (Python):

In this project, I used Python to analyze the data. Key steps like:

• Aggregating data by product to find top-selling products.
• Calculating metrics such as total sales and profit margins.
• Exploring sales trends over time, including monthly and hourly patterns.
• Visualizations (Power BI):

Repository Contents

• analysis: Python code through my analysis.
• visualizations: Power BI report file for the visualizations.
  1. Click on the 'sales_data_report.pbix' file in this repository.
  2. Download the file by clicking the "Download" button.
  3. Open the downloaded file using Power BI Desktop.
• data: The sales data I used for the analysis.
• README.md: The file you're currently reading.

Feel free to explore the code and visualizations provided in this repository to better understand the sales data analysis project.

If you have any questions or need further information, please don't hesitate to reach out.