# Source: taxi_fare_prediction
**Category:** economy
**README generated:** 2025-10-02 12:52:18Z

## Source URL(s)
- https://www.kaggle.com/datasets/raviiloveyou/predict-taxi-fare-with-a-bigquery-ml-forecasting

## Citation(s)
- Ravi Shankar.B, Nagendra.S, Lavanya.P, and Sravanthi.p. (2023). Taxi trip fare prediction [Data set]. Kaggle. https://doi.org/10.34740/KAGGLE/DSV/5918879

## Variables (X → Y)
- distance_traveled → price(fare,total_fare,miscellaneous_fees)
- distance_traveled → tip
- trip_duration → price(fare,total_fare,miscellaneous_fees)
- trip_duration → tip

## Causal reasoning

The causes (distance, number of passengers and duration) are features of the trip that cause an impact in the consequent price, fees, tip and fare.