Walmart Sales Analysis - Python

Project 2 – Walmart Sales Trend Analysis (Python)

Problem:
Understanding sales fluctuations is essential for forecasting and inventory planning. This project aimed to identify monthly sales trends in Walmart’s retail data to support marketing, logistics, and resource decisions.

Approach:
I used Python and pandas to clean and analyze Walmart's weekly sales dataset. Key steps included:

• Data Cleaning: Converted dates, handled missing markdown values, and ensured datetime consistency.
  
  

• Data Aggregation: Resampled weekly sales data to generate monthly totals using resample('M').
  
  

• Visualization: Created a line plot using matplotlib to visualize monthly sales trends and detect seasonal patterns.
  
  

Tools:

• Python: Core programming
  
  

• pandas: Data manipulation
  
  

• ploptly: Visualization
  
  

• Kaggle: Dataset source
  
  

Outcome:
The visualization revealed strong seasonal peaks — especially during November and December, likely due to holiday sales. Sales dipped in January, consistent with post-holiday slowdowns. These insights can help with staffing, stock management, and marketing promotions.