Ride Hailing Transaction
Comprehensive Synthetic Data for Ride Hailing Analytics and Machine Learning
@kaggle.galihwardiana_ride_hailing_transaction
Comprehensive Synthetic Data for Ride Hailing Analytics and Machine Learning
@kaggle.galihwardiana_ride_hailing_transaction
This dataset contains synthetic data generated to simulate a ride-sharing platform's operations. It includes detailed records across four key tables: fact_rides, vouchers, drivers, and users.
This dataset is ideal for data analysis, machine learning model development, and exploration of trends and behaviors in a ride-sharing context. Since it's generated synthetically, it is free from privacy concerns, making it perfect for public use and academic research.
CREATE TABLE drivers (
"driver_id" BIGINT,
"first_name" VARCHAR,
"last_name" VARCHAR,
"email" VARCHAR,
"phone_number" VARCHAR,
"car_make" VARCHAR,
"car_model" VARCHAR,
"license_plate" VARCHAR,
"created_at" TIMESTAMP
);
CREATE TABLE fact_rides (
"ride_id" DOUBLE,
"customer_id" DOUBLE,
"driver_id" DOUBLE,
"start_location" VARCHAR,
"end_location" VARCHAR,
"city" VARCHAR,
"country" VARCHAR,
"ride_date" TIMESTAMP,
"ride_time" VARCHAR,
"ride_duration_minutes" DOUBLE,
"fare_amount" DOUBLE,
"ride_distance_miles" DOUBLE,
"payment_method" VARCHAR,
"voucher" VARCHAR,
"rating" DOUBLE
);
CREATE TABLE users (
"user_id" BIGINT,
"username" VARCHAR,
"last_name" VARCHAR,
"first_name" VARCHAR,
"email" VARCHAR,
"password_hash" VARCHAR,
"phone_number" VARCHAR,
"gender" VARCHAR,
"created_at" TIMESTAMP
);
CREATE TABLE vouchers (
"voucher_code" VARCHAR,
"discount_amount" DOUBLE,
"start_date" BIGINT,
"end_date" BIGINT,
"updated_at" BIGINT,
"discount_perc" BIGINT
);
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