This project analyzes global restaurant dataset to identify patterns in cuisine demand, city-wise restaurant distribution, customer rating behavior, and online delivery availability.
The dashboard helps stakeholders understand market trends and supports data-driven decisions related to expansion planning, cuisine offerings, and service improvements.
The restaurant industry is highly competitive and requires analytical insights to understand:
- Which cuisines are most popular
- Which cities have highest restaurant concentration
- How customer ratings influence business performance
- How online delivery impacts restaurant growth
- Where expansion opportunities exist
Without proper analysis, decision-making becomes assumption-based instead of insight-driven.
- Tableau (Dashboard Development)
- Excel (Data Cleaning & Preparation)
- Identified top cities with highest restaurant concentration
- Majority of restaurants have ratings between 3.0 and 4.0
- North Indian cuisine shows highest popularity across locations
- Online delivery availability influences restaurant performance
- Restaurant openings show steady trend across years
- KPI cards for performance tracking
- City-wise restaurant distribution analysis
- Cuisine popularity comparison
- Customer rating distribution visualization
- Online delivery performance analysis
- Year-wise and month-wise trend analysis
- Interactive filters (Year, Quarter, Month)
- Data Visualization
- Business Requirement Analysis
- KPI Design
- Dashboard Development
- Trend Analysis
- Analytical Thinking
- Insight Generation
Insights from this dashboard help businesses:
- Identify high-demand cuisines for better menu strategy
- Select high-potential cities for expansion
- Improve customer satisfaction using rating insights
- Evaluate online delivery performance impact
- Support strategic decision-making using data
- Tableau Dashboard (.twbx)
- Dataset (.xlsx)
- Dashboard Screenshot (.png)