1. Ride Duration vs Cost Analysis
This scatter plot reveals the relationship between expected ride duration and historical cost,
with a trend line showing the correlation strength.
🔍 Key Insights:
- Strong Positive Correlation: Longer rides consistently cost more
- Linear Relationship: Easy to predict costs based on duration
- Few Outliers: Most data points follow the trend closely
- Business Value: Duration is a reliable pricing factor
2. Vehicle Type Cost Distribution
Box plot comparing cost distributions between Economy and Premium vehicle types,
showing pricing differences and variability.
🔍 Key Insights:
- Premium vs Economy: Clear cost differentiation between vehicle types
- Price Range: Premium vehicles have higher median costs
- Variability: Both types show similar cost distribution patterns
- Pricing Strategy: Vehicle type is a key pricing factor
3. Feature Correlation Matrix
Heatmap showing correlations between all numeric features, helping identify
which factors most strongly influence ride costs.
🔍 Key Insights:
- Duration-Cost Correlation: Strongest relationship for pricing
- Feature Selection: Identifies most important variables
- Model Building: Guides feature selection for ML models
- Business Logic: Validates pricing strategy assumptions