Cars 2022 Dataset

Complete collection of Cars available to buy in India with their specs.

@kaggle.tr1gg3rtrash_cars_2022_dataset

Table List

1 table(20.93 KB)

Cars 1

@kaggle.tr1gg3rtrash_cars_2022_dataset.cars_1

20.93 KB
203 rows
16 columns

car_name Car Name	reviews_count Reviews Count	fuel_type Fuel Type	engine_displacement Engine Displacement	no_cylinder No Cylinder	seating_capacity Seating Capacity	transmission_type Transmission Type	fuel_tank_capacity Fuel Tank Capacity	body_type Body Type	rating Rating	starting_price Starting Price	ending_price Ending Price	max_torque_nm Max Torque Nm	max_torque_rpm Max Torque Rpm	max_power_bhp Max Power Bhp	max_power_rp Max Power Rp
Maruti Alto K10	51	Petrol	998	3	5	Automatic	27	Hatchback	4.5	399000	583000	89	3500	65.71	5500
Maruti Brezza	86	Petrol	1462	4	5	Automatic	48	SUV	4.5	799000	1396000	136.8	4400	101.65	6000
Mahindra Thar	242	Diesel	2184	4	4	Automatic	57	SUV	4.5	1353000	1603000	300	2800	130	3750
Mahindra XUV700	313	Diesel	2198	4	7	Automatic	60	SUV	4.5	1318000	2458000	450	2800	182.38	3500
Mahindra Scorpio-N	107	Diesel	2198	4	7	Automatic	57	SUV	4.5	1199000	2390000	400	2750	172.45	3500
Toyota Fortuner	99	Diesel	2755	4	7	Automatic	80	SUV	4.5	3240000	4957000	500	2800	201.15	3400
Hyundai Creta	731	Diesel	1493	4	5	Automatic	50	SUV	4.5	1044000	1818000	250	2750	113.45	4000
Tata Punch	381	Petrol	1199	3	5	Automatic	37	SUV	4.5	593000	949000	113	3400	84.48	6000
Mahindra Bolero	107	Diesel	1498	3	7	Manual	60	SUV	4.5	933000	1026000	210	2200	74.96	3600
Maruti Swift	205	Petrol	1197	4	5	Automatic	37	Hatchback	4	592000	885000	113	4400	88.5	6000


CREATE TABLE cars_1 (
  "car_name" VARCHAR,
  "reviews_count" BIGINT,
  "fuel_type" VARCHAR,
  "engine_displacement" BIGINT,
  "no_cylinder" BIGINT,
  "seating_capacity" DOUBLE,
  "transmission_type" VARCHAR,
  "fuel_tank_capacity" DOUBLE,
  "body_type" VARCHAR,
  "rating" DOUBLE,
  "starting_price" BIGINT,
  "ending_price" BIGINT,
  "max_torque_nm" DOUBLE,
  "max_torque_rpm" BIGINT,
  "max_power_bhp" DOUBLE,
  "max_power_rp" BIGINT
);