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Description
Key Features to Analyze
Time-Based Trends
Daily / Weekly / Monthly price trends Useful for identifying patterns or changes over time.
Price volatility Track how much fuel prices fluctuate within a timeframe.
Seasonal patterns Are prices higher in summer or around holidays?
Weekday vs Weekend prices Often, prices spike before the weekend.
Location-Based Analysis
Price comparison across cities or stations
Regional average prices (e.g., city, state level)
Heatmaps of fuel price by location (great for visualization)
Outlier detection Find stations that charge much more or less than average.
Fuel Type Comparison
Analyze differences between Unleaded, Premium, Diesel, E10, etc.
Track how the gap between fuel types changes over time.
Compare regional pricing for specific fuel types.
Predictive Analytics
Price forecasting based on historical data (using regression or time series models)
Custom price alerts if the price drops below a threshold
"Best time to fill up" suggestions (based on historical patterns)
External or Market Factors (advanced/optional)
Compare with international crude oil prices
Overlay exchange rate data or inflation indicators
Integrate with external APIs (like fuelwatch WA, PetrolSpy, etc.)
Discuss the priority of the features.
@wycers @dgyz8 @parnabasak