To identify top-selling product categories during different seasons and understand the influencing factors, you can follow these steps:

1. Data Preparation:
   • Clean the data: Remove any duplicates or missing values.
   • Create Seasonal Labels: Assign each purchase date to a season (e.g., Winter, Spring, Summer, Fall) based on the date.
2. Analysis:
   • Seasonal Sales Analysis: Group the data by season and product category. Calculate total sales for each category during each season to identify top-selling categories.
   • Demographic Segmentation: Analyze how customer demographics (age, gender, location) correlate with purchases in different seasons to see if certain groups favor specific products during certain times of the year.
   • Price Analysis: Check if price changes influence seasonal sales by comparing the price and sales data for each season.
3. Visualization:
   • Use bar charts or heatmaps to visualize top-selling categories across seasons.
   • Create scatter plots or line charts to explore relationships between price, demographics, and seasonal sales.
4. Interpretation:
   • Identify patterns in seasonal demand and factors like demographic preferences and pricing that may influence these trends.