01 / The brief
The question
Analyze restaurant order data to find useful insights about products, categories, and customer demand.
This GitHub project analyzes restaurant order data to understand item demand, category performance, sales behavior, and ordering patterns. It is relevant because it shows practical business analysis for the food and restaurant industry.
Results & observations
- Created a clear restaurant order analysis that supports menu and sales decisions.
- The project demonstrates practical data analysis for business operations.
Challenges
- Raw order data required cleaning
- Menu items needed clear grouping
- Sales insights had to be easy for business users to understand
Approach
- Cleaned and explored restaurant order data.
- Analyzed menu item performance and order patterns.
- Compared categories and item-level behavior.
- Prepared insights for business decision-making.
Implementation details
Data Preparation
Prepared restaurant order and menu data.
Order Analysis
Analyzed order volume and item demand.
Category Analysis
Compared menu categories and performance.
Insight Development
Converted order data into business insights.
Reporting
Prepared findings for restaurant decision-making.
Explore the report
Select a screenshot for a larger view.