| cardata {qacBase} | R Documentation | 
Automobile characteristics
Description
Cars dataset with features including make, model, year, engine, and other properties of the car used to predict its price.
Usage
cardata
Format
A data frame with 11914 rows and 16 variables. The variables are as follows:
- make
 car brand
- model
 model given by its brand
- year
 year of manufacture
- engine_fuel_type
 type of fuel required by its manufacturer
- engine_hp
 engine horse power
- engine_cylinders
 number of cylinders
- transmission_type
 automatic vs. manual
- driven_wheels
 AWD, FWD, AWD
- number_of_doors
 Number of Doors
- market_category
 Luxury, Performance, Hatchback, etc.
- vehicle_size
 Compact, Midsize, Large
- vehicle_style
 Type of Vehicle: Sedan, SUV, Coupe, etc.
- highway_mpg
 highway miles per gallon
- city_mpg
 city miles per gallon
- popularity
 Popularity index
- msrp
 manufacturer's suggested retail price
Details
This package contains a detailed car dataset.
Source
Taken from Kaggle https://www.kaggle.com/CooperUnion/cardataset.
Examples
summary(cardata)
[Package qacBase version 1.0.3 Index]