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A retail store is experiencing declining sales in recent months. They need to understand the underlying factors contributing to this trend to implement effective strategies for improvement. Data: The store has historical sales data, including: Date: Transaction date Product: Product category or ID Quantity: Number of units sold Price: Selling price per unit Customer: Customer ID or demographic information Location: Store location Promotion: Information on any promotions or discounts applied Analysis Goals: Identify declining product categories: Determine which products are experiencing the most significant decrease in sales.
Analyze seasonal trends: Understand if sales fluctuations are influenced by seasonal factors. Evaluate the impact of promotions: Assess the effectiveness of promotional activities on sales. Compare store performance: Compare sales performance across different store locations. Explore customer behavior: Whatsapp Number Analyze customer purchasing patterns to identify potential issues. Visualization Techniques: Line Charts: Time Series Analysis: Visualize sales trends over time for different product categories, store locations, or overall sales. Seasonal Patterns: Identify seasonal variations in sales data. Bar Charts: Product Category Compariso.
Compare sales performance across different product categories. Store Location Comparison: Analyze sales differences between different store locations. Pie Charts: Market Share: Visualize the market share of different product categories. Scatter Plots: Correlation Analysis: Explore relationships between variables, such as price and quantity sold.
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