| auto {MixtureMissing} | R Documentation |
Automobile Data Set
Description
This data set consists of three types of entities: (a) the specification of an auto in terms of various characteristics, (b) its assigned insurance risk rating, (c) its normalized losses in use as compared to other cars. The second rating corresponds to the degree to which the auto is more risky than its price indicates. Cars are initially assigned a risk factor symbol associated with its price. Then, if it is more risky (or less), this symbol is adjusted by moving it up (or down) the scale. Actuarians call this process "symboling". A value of +3 indicates that the auto is risky, -3 that it is probably pretty safe.
Usage
auto
Format
A data frame with 205 rows and 26 variables. The first 15 variables are continuous, while the last 11 variables are categorical. There are 45 rows with missing values.
- normalized_losses
continuous from 65 to 256.
- wheel_base
continuous from 86.6 120.9.
- length
continuous from 141.1 to 208.1.
- width
continuous from 60.3 to 72.3.
- height
continuous from 47.8 to 59.8.
- curb_weight
continuous from 1488 to 4066.
- engine_size
continuous from 61 to 326.
- bore
continuous from 2.54 to 3.94.
- stroke
continuous from 2.07 to 4.17.
- compression_ratio
continuous from 7 to 23.
- horsepower
continuous from 48 to 288.
- peak_rpm
continuous from 4150 to 6600.
- city_mpg
continuous from 13 to 49.
- highway_mpg
continuous from 16 to 54.
- price
continuous from 5118 to 45400.
- symboling
-3, -2, -1, 0, 1, 2, 3.
- make
alfa-romero, audi, bmw, chevrolet, dodge, honda, isuzu, jaguar, mazda, mercedes-benz, mercury, mitsubishi, nissan, peugot, plymouth, porsche, renault, saab, subaru, toyota, volkswagen, volvo
- fuel_type
diesel, gas.
- aspiration
std, turbo.
- num_doors
four, two.
- body_style
hardtop, wagon, sedan, hatchback, convertible.
- drive_wheels
4wd, fwd, rwd.
- engine_location
front, rear.
- engine_type
dohc, dohcv, l, ohc, ohcf, ohcv, rotor.
- num_cylinders
eight, five, four, six, three, twelve, two.
- fuel_system
1bbl, 2bbl, 4bbl, idi, mfi, mpfi, spdi, spfi.
Source
Kibler, D., Aha, D.W., & Albert,M. (1989). Instance-based prediction of real-valued attributes. Computational Intelligence, Vol 5, 51–57. https://archive.ics.uci.edu/ml/datasets/automobile