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Cars dataset with features including make, model, year, engine, and other properties of the car used to predict its price.
cardata
A data frame with 11914 rows and 16 variables. The variables are as follows:
car brand
model given by its brand
year of manufacture
type of fuel required by its manufacturer
engine horse power
number of cylinders
automatic vs. manual
AWD, FWD, AWD
Number of Doors
Luxury, Performance, Hatchback, etc.
Compact, Midsize, Large
Type of Vehicle: Sedan, SUV, Coupe, etc.
highway miles per gallon
city miles per gallon
Popularity index
manufacturer's suggested retail price
This package contains a detailed car dataset.
# NOT RUN { summary(cardata) # }
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