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auto-mpg

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mpg
float64
9
46.6
cylinders
int64
3
8
displacement
float64
68
455
horsepower
stringlengths
1
3
weight
int64
1.61k
5.14k
acceleration
float64
8
24.8
model year
int64
70
82
origin
int64
1
3
car name
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70
1
chevrolet chevelle malibu
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350
165
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11.5
70
1
buick skylark 320
18
8
318
150
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70
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plymouth satellite
16
8
304
150
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70
1
amc rebel sst
17
8
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1
ford torino
15
8
429
198
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70
1
ford galaxie 500
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8
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220
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70
1
chevrolet impala
14
8
440
215
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1
plymouth fury iii
14
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455
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70
1
pontiac catalina
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8
390
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70
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amc ambassador dpl
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70
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dodge challenger se
14
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1
plymouth 'cuda 340
15
8
400
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chevrolet monte carlo
14
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buick estate wagon (sw)
24
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toyota corona mark ii
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plymouth duster
18
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amc hornet
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ford maverick
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datsun pl510
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volkswagen 1131 deluxe sedan
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peugeot 504
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audi 100 ls
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saab 99e
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bmw 2002
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ford f250
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dodge d200
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chevrolet vega 2300
25
4
113
95
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71
3
toyota corona
25
4
98
?
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71
1
ford pinto
19
6
232
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71
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amc gremlin
16
6
225
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71
1
plymouth satellite custom
17
6
250
100
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15.5
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1
chevrolet chevelle malibu
19
6
250
88
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71
1
ford torino 500
18
6
232
100
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71
1
amc matador
14
8
350
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12
71
1
chevrolet impala
14
8
400
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71
1
pontiac catalina brougham
14
8
351
153
4,154
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1
ford galaxie 500
14
8
318
150
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13
71
1
plymouth fury iii
12
8
383
180
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11.5
71
1
dodge monaco (sw)
13
8
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71
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ford country squire (sw)
13
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71
1
pontiac safari (sw)
18
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258
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1
amc hornet sportabout (sw)
22
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71
1
chevrolet vega (sw)
19
6
250
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71
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pontiac firebird
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250
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71
1
ford mustang
23
4
122
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71
1
mercury capri 2000
28
4
116
90
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71
2
opel 1900
30
4
79
70
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71
2
peugeot 304
30
4
88
76
2,065
14.5
71
2
fiat 124b
31
4
71
65
1,773
19
71
3
toyota corolla 1200
35
4
72
69
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18
71
3
datsun 1200
27
4
97
60
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19
71
2
volkswagen model 111
26
4
91
70
1,955
20.5
71
1
plymouth cricket
24
4
113
95
2,278
15.5
72
3
toyota corona hardtop
25
4
97.5
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17
72
1
dodge colt hardtop
23
4
97
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72
2
volkswagen type 3
20
4
140
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2,408
19.5
72
1
chevrolet vega
21
4
122
86
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16.5
72
1
ford pinto runabout
13
8
350
165
4,274
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72
1
chevrolet impala
14
8
400
175
4,385
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72
1
pontiac catalina
15
8
318
150
4,135
13.5
72
1
plymouth fury iii
14
8
351
153
4,129
13
72
1
ford galaxie 500
17
8
304
150
3,672
11.5
72
1
amc ambassador sst
11
8
429
208
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11
72
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mercury marquis
13
8
350
155
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72
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buick lesabre custom
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72
1
oldsmobile delta 88 royale
13
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400
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72
1
chrysler newport royal
19
3
70
97
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72
3
mazda rx2 coupe
15
8
304
150
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72
1
amc matador (sw)
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chevrolet chevelle concours (sw)
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302
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ford gran torino (sw)
14
8
318
150
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plymouth satellite custom (sw)
18
4
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volvo 145e (sw)
22
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volkswagen 411 (sw)
21
4
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72
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peugeot 504 (sw)
26
4
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69
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72
2
renault 12 (sw)
22
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122
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1
ford pinto (sw)
28
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72
3
datsun 510 (sw)
23
4
120
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toyouta corona mark ii (sw)
28
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1
dodge colt (sw)
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4
97
88
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16.5
72
3
toyota corolla 1600 (sw)
13
8
350
175
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13
73
1
buick century 350
14
8
304
150
3,672
11.5
73
1
amc matador
13
8
350
145
3,988
13
73
1
chevrolet malibu
14
8
302
137
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14.5
73
1
ford gran torino
15
8
318
150
3,777
12.5
73
1
dodge coronet custom
12
8
429
198
4,952
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73
1
mercury marquis brougham
13
8
400
150
4,464
12
73
1
chevrolet caprice classic
13
8
351
158
4,363
13
73
1
ford ltd
14
8
318
150
4,237
14.5
73
1
plymouth fury gran sedan
13
8
440
215
4,735
11
73
1
chrysler new yorker brougham
12
8
455
225
4,951
11
73
1
buick electra 225 custom
13
8
360
175
3,821
11
73
1
amc ambassador brougham
18
6
225
105
3,121
16.5
73
1
plymouth valiant
16
6
250
100
3,278
18
73
1
chevrolet nova custom
18
6
232
100
2,945
16
73
1
amc hornet
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Auto Miles per Gallon (MPG) Dataset

Following description was taken from UCI machine learning repository. Source: This dataset was taken from the StatLib library which is maintained at Carnegie Mellon University. The dataset was used in the 1983 American Statistical Association Exposition.

Data Set Information:

This dataset is a slightly modified version of the dataset provided in the StatLib library. In line with the use by Ross Quinlan (1993) in predicting the attribute "mpg", 8 of the original instances were removed because they had unknown values for the "mpg" attribute. The original dataset is available in the file "auto-mpg.data-original".

"The data concerns city-cycle fuel consumption in miles per gallon, to be predicted in terms of 3 multivalued discrete and 5 continuous attributes." (Quinlan, 1993)

Attribute Information:

  • mpg: continuous
  • cylinders: multi-valued discrete
  • displacement: continuous
  • horsepower: continuous
  • weight: continuous
  • acceleration: continuous
  • model year: multi-valued discrete
  • origin: multi-valued discrete
  • car name: string (unique for each instance)
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