Dataset statistics
Number of variables | 12 |
---|---|
Number of observations | 74 |
Missing cells | 5 |
Missing cells (%) | 0.6% |
Duplicate rows | 0 |
Duplicate rows (%) | 0.0% |
Total size in memory | 13.6 KiB |
Average record size in memory | 187.9 B |
Variable types
NUM | 9 |
---|---|
CAT | 3 |
Reproduction
Analysis started | 2020-02-13 13:04:46.750360 |
---|---|
Analysis finished | 2020-02-13 13:04:59.921940 |
Version | pandas-profiling v2.4.1 |
Command line | pandas_profiling --config_file config.yaml [YOUR_FILE.csv] |
Download configuration | config.yaml |
Distinct count | 74 |
---|---|
Unique (%) | 100.0% |
Missing | 0 |
Missing (%) | 0.0% |
Memory size | 3.7 KiB |
Olds Toronado | 1 |
---|---|
Volvo 260 | 1 |
Buick Skylark | 1 |
Merc. Marquis | 1 |
VW Rabbit | 1 |
Other values (69) |
Value | Count | Frequency (%) | |
Olds Toronado | 1 | 1.4% | |
Volvo 260 | 1 | 1.4% | |
Buick Skylark | 1 | 1.4% | |
Merc. Marquis | 1 | 1.4% | |
VW Rabbit | 1 | 1.4% | |
Linc. Continental | 1 | 1.4% | |
Merc. Monarch | 1 | 1.4% | |
Ford Fiesta | 1 | 1.4% | |
Olds Omega | 1 | 1.4% | |
Toyota Celica | 1 | 1.4% | |
Other values (64) | 64 | 86.5% |
Length
Max length | 17 |
---|---|
Mean length | 11.77027027 |
Min length | 6 |
Value | Count | Frequency (%) | |
Lowercase_Letter | 25 | 42.4% | |
Uppercase_Letter | 21 | 35.6% | |
Decimal_Number | 10 | 16.9% | |
Other_Punctuation | 1 | 1.7% | |
Dash_Punctuation | 1 | 1.7% | |
Space_Separator | 1 | 1.7% |
Value | Count | Frequency (%) | |
Latin | 46 | 78.0% | |
Common | 13 | 22.0% |
Value | Count | Frequency (%) | |
ASCII | 59 | 100.0% |
Distinct count | 74 |
---|---|
Unique (%) | 100.0% |
Missing | 0 |
Missing (%) | 0.0% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 6165.256756756757 |
---|---|
Minimum | 3291 |
Maximum | 15906 |
Zeros | 0 |
Zeros (%) | 0.0% |
Memory size | 3.7 KiB |
Quantile statistics
Minimum | 3291 |
---|---|
5-th percentile | 3780.5 |
Q1 | 4220.25 |
median | 5006.5 |
Q3 | 6332.25 |
95-th percentile | 13156.6 |
Maximum | 15906 |
Range | 12615 |
Interquartile range (IQR) | 2112 |
Descriptive statistics
Standard deviation | 2949.495885 |
---|---|
Coefficient of variation (CV) | 0.4784060099 |
Kurtosis | 2.034047676 |
Mean | 6165.256757 |
Median Absolute Deviation (MAD) | 2169.739226 |
Skewness | 1.687840988 |
Sum | 456229 |
Variance | 8699525.974 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 3291. 6414. 15906.], "bayesian blocks" binning strategy used)
Value | Count | Frequency (%) | |
5886 | 1 | 1.4% | |
6303 | 1 | 1.4% | |
4296 | 1 | 1.4% | |
15906 | 1 | 1.4% | |
14500 | 1 | 1.4% | |
4389 | 1 | 1.4% | |
5798 | 1 | 1.4% | |
4647 | 1 | 1.4% | |
4010 | 1 | 1.4% | |
5397 | 1 | 1.4% | |
Other values (64) | 64 | 86.5% |
Value | Count | Frequency (%) | |
3291 | 1 | 1.4% | |
3299 | 1 | 1.4% | |
3667 | 1 | 1.4% | |
3748 | 1 | 1.4% | |
3798 | 1 | 1.4% |
Value | Count | Frequency (%) | |
15906 | 1 | 1.4% | |
14500 | 1 | 1.4% | |
13594 | 1 | 1.4% | |
13466 | 1 | 1.4% | |
12990 | 1 | 1.4% |
mpg
Real number (ℝ≥0)
Distinct count | 21 |
---|---|
Unique (%) | 28.4% |
Missing | 0 |
Missing (%) | 0.0% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 21.2972972972973 |
---|---|
Minimum | 12 |
Maximum | 41 |
Zeros | 0 |
Zeros (%) | 0.0% |
Memory size | 3.7 KiB |
Quantile statistics
Minimum | 12 |
---|---|
5-th percentile | 14 |
Q1 | 18 |
median | 20 |
Q3 | 24.75 |
95-th percentile | 32.05 |
Maximum | 41 |
Range | 29 |
Interquartile range (IQR) | 6.75 |
Descriptive statistics
Standard deviation | 5.78550321 |
---|---|
Coefficient of variation (CV) | 0.2716543385 |
Kurtosis | 1.129919829 |
Mean | 21.2972973 |
Median Absolute Deviation (MAD) | 4.507669832 |
Skewness | 0.9684601369 |
Sum | 1576 |
Variance | 33.47204739 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[12. 25.5 41. ], "bayesian blocks" binning strategy used)
Value | Count | Frequency (%) | |
18 | 9 | 12.2% | |
19 | 8 | 10.8% | |
14 | 6 | 8.1% | |
25 | 5 | 6.8% | |
22 | 5 | 6.8% | |
21 | 5 | 6.8% | |
16 | 4 | 5.4% | |
17 | 4 | 5.4% | |
24 | 4 | 5.4% | |
23 | 3 | 4.1% | |
Other values (11) | 21 | 28.4% |
Value | Count | Frequency (%) | |
12 | 2 | 2.7% | |
14 | 6 | 8.1% | |
15 | 2 | 2.7% | |
16 | 4 | 5.4% | |
17 | 4 | 5.4% |
Value | Count | Frequency (%) | |
41 | 1 | 1.4% | |
35 | 2 | 2.7% | |
34 | 1 | 1.4% | |
31 | 1 | 1.4% | |
30 | 2 | 2.7% |
Distinct count | 5 |
---|---|
Unique (%) | 6.8% |
Missing | 5 |
Missing (%) | 6.8% |
Memory size | 3.3 KiB |
Average | |
---|---|
Good | |
Excellent | |
Fair | |
Poor | 2 |
Value | Count | Frequency (%) | |
Average | 30 | 40.5% | |
Good | 18 | 24.3% | |
Excellent | 11 | 14.9% | |
Fair | 8 | 10.8% | |
Poor | 2 | 2.7% | |
(Missing) | 5 | 6.8% |
Length
Max length | 9 |
---|---|
Mean length | 5.891891892 |
Min length | 3 |
Value | Count | Frequency (%) | |
Lowercase_Letter | 13 | 72.2% | |
Uppercase_Letter | 5 | 27.8% |
Value | Count | Frequency (%) | |
Latin | 18 | 100.0% |
Value | Count | Frequency (%) | |
ASCII | 18 | 100.0% |
headroom
Real number (ℝ≥0)
Distinct count | 8 |
---|---|
Unique (%) | 10.8% |
Missing | 0 |
Missing (%) | 0.0% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 2.9932432 |
---|---|
Minimum | 1.5 |
Maximum | 5.0 |
Zeros | 0 |
Zeros (%) | 0.0% |
Memory size | 3.4 KiB |
Quantile statistics
Minimum | 1.5 |
---|---|
5-th percentile | 1.825 |
Q1 | 2.5 |
median | 3 |
Q3 | 3.5 |
95-th percentile | 4.5 |
Maximum | 5 |
Range | 3.5 |
Interquartile range (IQR) | 1 |
Descriptive statistics
Standard deviation | 0.8459947705 |
---|---|
Coefficient of variation (CV) | 0.2826348245 |
Kurtosis | -0.7620739341 |
Mean | 2.993243217 |
Median Absolute Deviation (MAD) | 0.6970416903 |
Skewness | 0.1437965482 |
Sum | 221.5 |
Variance | 0.7157071233 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[1.5 4.25 5. ], "bayesian blocks" binning strategy used)
Value | Count | Frequency (%) | |
3.5 | 15 | 20.3% | |
2.5 | 14 | 18.9% | |
2 | 13 | 17.6% | |
3 | 13 | 17.6% | |
4 | 10 | 13.5% | |
1.5 | 4 | 5.4% | |
4.5 | 4 | 5.4% | |
5 | 1 | 1.4% |
Value | Count | Frequency (%) | |
1.5 | 4 | 5.4% | |
2 | 13 | 17.6% | |
2.5 | 14 | 18.9% | |
3 | 13 | 17.6% | |
3.5 | 15 | 20.3% |
Value | Count | Frequency (%) | |
5 | 1 | 1.4% | |
4.5 | 4 | 5.4% | |
4 | 10 | 13.5% | |
3.5 | 15 | 20.3% | |
3 | 13 | 17.6% |
trunk
Real number (ℝ≥0)
Distinct count | 18 |
---|---|
Unique (%) | 24.3% |
Missing | 0 |
Missing (%) | 0.0% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 13.756756756756756 |
---|---|
Minimum | 5 |
Maximum | 23 |
Zeros | 0 |
Zeros (%) | 0.0% |
Memory size | 3.7 KiB |
Quantile statistics
Minimum | 5 |
---|---|
5-th percentile | 7 |
Q1 | 10.25 |
median | 14 |
Q3 | 16.75 |
95-th percentile | 20.35 |
Maximum | 23 |
Range | 18 |
Interquartile range (IQR) | 6.5 |
Descriptive statistics
Standard deviation | 4.277404189 |
---|---|
Coefficient of variation (CV) | 0.3109311493 |
Kurtosis | -0.7796393143 |
Mean | 13.75675676 |
Median Absolute Deviation (MAD) | 3.61431702 |
Skewness | 0.02981113321 |
Sum | 1018 |
Variance | 18.2961866 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 5. 15.5 17.5 23. ], "bayesian blocks" binning strategy used)
Value | Count | Frequency (%) | |
16 | 12 | 16.2% | |
17 | 8 | 10.8% | |
11 | 8 | 10.8% | |
20 | 6 | 8.1% | |
8 | 5 | 6.8% | |
15 | 5 | 6.8% | |
10 | 5 | 6.8% | |
13 | 4 | 5.4% | |
14 | 4 | 5.4% | |
9 | 4 | 5.4% | |
Other values (8) | 13 | 17.6% |
Value | Count | Frequency (%) | |
5 | 1 | 1.4% | |
6 | 1 | 1.4% | |
7 | 3 | 4.1% | |
8 | 5 | 6.8% | |
9 | 4 | 5.4% |
Value | Count | Frequency (%) | |
23 | 1 | 1.4% | |
22 | 1 | 1.4% | |
21 | 2 | 2.7% | |
20 | 6 | 8.1% | |
18 | 1 | 1.4% |
Distinct count | 64 |
---|---|
Unique (%) | 86.5% |
Missing | 0 |
Missing (%) | 0.0% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 3019.4594594594596 |
---|---|
Minimum | 1760 |
Maximum | 4840 |
Zeros | 0 |
Zeros (%) | 0.0% |
Memory size | 3.7 KiB |
Quantile statistics
Minimum | 1760 |
---|---|
5-th percentile | 1895 |
Q1 | 2250 |
median | 3190 |
Q3 | 3600 |
95-th percentile | 4186 |
Maximum | 4840 |
Range | 3080 |
Interquartile range (IQR) | 1350 |
Descriptive statistics
Standard deviation | 777.1935671 |
---|---|
Coefficient of variation (CV) | 0.2573949336 |
Kurtosis | -0.8585177502 |
Mean | 3019.459459 |
Median Absolute Deviation (MAD) | 668.6778671 |
Skewness | 0.1511986317 |
Sum | 223440 |
Variance | 604029.8408 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[1760. 4105. 4840.], "bayesian blocks" binning strategy used)
Value | Count | Frequency (%) | |
4060 | 2 | 2.7% | |
3420 | 2 | 2.7% | |
3690 | 2 | 2.7% | |
1800 | 2 | 2.7% | |
2830 | 2 | 2.7% | |
3600 | 2 | 2.7% | |
3370 | 2 | 2.7% | |
2750 | 2 | 2.7% | |
2650 | 2 | 2.7% | |
2200 | 2 | 2.7% | |
Other values (54) | 54 | 73.0% |
Value | Count | Frequency (%) | |
1760 | 1 | 1.4% | |
1800 | 2 | 2.7% | |
1830 | 1 | 1.4% | |
1930 | 1 | 1.4% | |
1980 | 1 | 1.4% |
Value | Count | Frequency (%) | |
4840 | 1 | 1.4% | |
4720 | 1 | 1.4% | |
4330 | 1 | 1.4% | |
4290 | 1 | 1.4% | |
4130 | 1 | 1.4% |
Distinct count | 47 |
---|---|
Unique (%) | 63.5% |
Missing | 0 |
Missing (%) | 0.0% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 187.93243243243242 |
---|---|
Minimum | 142 |
Maximum | 233 |
Zeros | 0 |
Zeros (%) | 0.0% |
Memory size | 3.7 KiB |
Quantile statistics
Minimum | 142 |
---|---|
5-th percentile | 154.65 |
Q1 | 170 |
median | 192.5 |
Q3 | 203.75 |
95-th percentile | 221 |
Maximum | 233 |
Range | 91 |
Interquartile range (IQR) | 33.75 |
Descriptive statistics
Standard deviation | 22.2663399 |
---|---|
Coefficient of variation (CV) | 0.1184805603 |
Kurtosis | -0.9408177208 |
Mean | 187.9324324 |
Median Absolute Deviation (MAD) | 19.28743608 |
Skewness | -0.0418272235 |
Sum | 13907 |
Variance | 495.7898926 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[142. 233.], "bayesian blocks" binning strategy used)
Value | Count | Frequency (%) | |
200 | 4 | 5.4% | |
170 | 4 | 5.4% | |
198 | 4 | 5.4% | |
179 | 3 | 4.1% | |
165 | 3 | 4.1% | |
201 | 3 | 4.1% | |
206 | 3 | 4.1% | |
204 | 2 | 2.7% | |
172 | 2 | 2.7% | |
193 | 2 | 2.7% | |
Other values (37) | 44 | 59.5% |
Value | Count | Frequency (%) | |
142 | 1 | 1.4% | |
147 | 1 | 1.4% | |
149 | 1 | 1.4% | |
154 | 1 | 1.4% | |
155 | 2 | 2.7% |
Value | Count | Frequency (%) | |
233 | 1 | 1.4% | |
230 | 1 | 1.4% | |
222 | 1 | 1.4% | |
221 | 2 | 2.7% | |
220 | 2 | 2.7% |
turn
Real number (ℝ≥0)
Distinct count | 18 |
---|---|
Unique (%) | 24.3% |
Missing | 0 |
Missing (%) | 0.0% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 39.648648648648646 |
---|---|
Minimum | 31 |
Maximum | 51 |
Zeros | 0 |
Zeros (%) | 0.0% |
Memory size | 3.7 KiB |
Quantile statistics
Minimum | 31 |
---|---|
5-th percentile | 33.65 |
Q1 | 36 |
median | 40 |
Q3 | 43 |
95-th percentile | 46 |
Maximum | 51 |
Range | 20 |
Interquartile range (IQR) | 7 |
Descriptive statistics
Standard deviation | 4.399353727 |
---|---|
Coefficient of variation (CV) | 0.1109584785 |
Kurtosis | -0.7395773616 |
Mean | 39.64864865 |
Median Absolute Deviation (MAD) | 3.794740687 |
Skewness | 0.1264026823 |
Sum | 2934 |
Variance | 19.35431322 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[31. 45.5 51. ], "bayesian blocks" binning strategy used)
Value | Count | Frequency (%) | |
43 | 12 | 16.2% | |
36 | 9 | 12.2% | |
42 | 7 | 9.5% | |
40 | 6 | 8.1% | |
35 | 6 | 8.1% | |
34 | 6 | 8.1% | |
41 | 4 | 5.4% | |
37 | 4 | 5.4% | |
46 | 3 | 4.1% | |
45 | 3 | 4.1% | |
Other values (8) | 14 | 18.9% |
Value | Count | Frequency (%) | |
31 | 1 | 1.4% | |
32 | 1 | 1.4% | |
33 | 2 | 2.7% | |
34 | 6 | 8.1% | |
35 | 6 | 8.1% |
Value | Count | Frequency (%) | |
51 | 1 | 1.4% | |
48 | 2 | 2.7% | |
46 | 3 | 4.1% | |
45 | 3 | 4.1% | |
44 | 3 | 4.1% |
displacement
Real number (ℝ≥0)
Distinct count | 31 |
---|---|
Unique (%) | 41.9% |
Missing | 0 |
Missing (%) | 0.0% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 197.2972972972973 |
---|---|
Minimum | 79 |
Maximum | 425 |
Zeros | 0 |
Zeros (%) | 0.0% |
Memory size | 3.7 KiB |
Quantile statistics
Minimum | 79 |
---|---|
5-th percentile | 87.95 |
Q1 | 119 |
median | 196 |
Q3 | 245.25 |
95-th percentile | 350 |
Maximum | 425 |
Range | 346 |
Interquartile range (IQR) | 126.25 |
Descriptive statistics
Standard deviation | 91.83721896 |
---|---|
Coefficient of variation (CV) | 0.4654763153 |
Kurtosis | -0.5830817597 |
Mean | 197.2972973 |
Median Absolute Deviation (MAD) | 77.87289993 |
Skewness | 0.6039687276 |
Sum | 14600 |
Variance | 8434.074787 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[ 79. 153.5 228. 240.5 425. ], "bayesian blocks" binning strategy used)
Value | Count | Frequency (%) | |
231 | 13 | 17.6% | |
350 | 5 | 6.8% | |
97 | 5 | 6.8% | |
302 | 4 | 5.4% | |
250 | 3 | 4.1% | |
151 | 3 | 4.1% | |
121 | 3 | 4.1% | |
140 | 3 | 4.1% | |
119 | 3 | 4.1% | |
225 | 2 | 2.7% | |
Other values (21) | 30 | 40.5% |
Value | Count | Frequency (%) | |
79 | 1 | 1.4% | |
85 | 1 | 1.4% | |
86 | 2 | 2.7% | |
89 | 1 | 1.4% | |
90 | 1 | 1.4% |
Value | Count | Frequency (%) | |
425 | 1 | 1.4% | |
400 | 2 | 2.7% | |
350 | 5 | 6.8% | |
318 | 2 | 2.7% | |
304 | 1 | 1.4% |
gear_ratio
Real number (ℝ≥0)
Distinct count | 36 |
---|---|
Unique (%) | 48.6% |
Missing | 0 |
Missing (%) | 0.0% |
Infinite | 0 |
Infinite (%) | 0.0% |
Mean | 3.0148647 |
---|---|
Minimum | 2.19 |
Maximum | 3.89 |
Zeros | 0 |
Zeros (%) | 0.0% |
Memory size | 3.4 KiB |
Quantile statistics
Minimum | 2.190000057 |
---|---|
5-th percentile | 2.364500046 |
Q1 | 2.730000019 |
median | 2.955000043 |
Q3 | 3.352499902 |
95-th percentile | 3.779999971 |
Maximum | 3.890000105 |
Range | 1.700000048 |
Interquartile range (IQR) | 0.6224998832 |
Descriptive statistics
Standard deviation | 0.4562871158 |
---|---|
Coefficient of variation (CV) | 0.1513458043 |
Kurtosis | -0.8762872815 |
Mean | 3.014864683 |
Median Absolute Deviation (MAD) | 0.3697223663 |
Skewness | 0.2237261981 |
Sum | 223.0999908 |
Variance | 0.2081979215 |
Histogram with fixed size bins (bins=10)
Histogram with variable size bins (bins=[2.19000006 3.8900001 ], "bayesian blocks" binning strategy used)
Value | Count | Frequency (%) | |
2.730000019 | 9 | 12.2% | |
2.930000067 | 8 | 10.8% | |
3.079999924 | 7 | 9.5% | |
2.470000029 | 5 | 6.8% | |
3.539999962 | 3 | 4.1% | |
2.410000086 | 3 | 4.1% | |
3.049999952 | 3 | 4.1% | |
3.779999971 | 3 | 4.1% | |
3.369999886 | 2 | 2.7% | |
2.559999943 | 2 | 2.7% | |
Other values (26) | 29 | 39.2% |
Value | Count | Frequency (%) | |
2.190000057 | 1 | 1.4% | |
2.24000001 | 1 | 1.4% | |
2.25999999 | 1 | 1.4% | |
2.279999971 | 1 | 1.4% | |
2.410000086 | 3 | 4.1% |
Value | Count | Frequency (%) | |
3.890000105 | 1 | 1.4% | |
3.809999943 | 1 | 1.4% | |
3.779999971 | 3 | 4.1% | |
3.74000001 | 1 | 1.4% | |
3.730000019 | 1 | 1.4% |
foreign
Categorical
Distinct count | 2 |
---|---|
Unique (%) | 2.7% |
Missing | 0 |
Missing (%) | 0.0% |
Memory size | 3.2 KiB |
Domestic | |
---|---|
Foreign |
Value | Count | Frequency (%) | |
Domestic | 52 | 70.3% | |
Foreign | 22 | 29.7% |
Length
Max length | 8 |
---|---|
Mean length | 7.702702703 |
Min length | 7 |
Value | Count | Frequency (%) | |
Lowercase_Letter | 10 | 83.3% | |
Uppercase_Letter | 2 | 16.7% |
Value | Count | Frequency (%) | |
Latin | 12 | 100.0% |
Value | Count | Frequency (%) | |
ASCII | 12 | 100.0% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
First rows
make | price | mpg | rep78 | headroom | trunk | weight | length | turn | displacement | gear_ratio | foreign | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | AMC Concord | 4099 | 22 | Average | 2.5 | 11 | 2930 | 186 | 40 | 121 | 3.58 | Domestic |
1 | AMC Pacer | 4749 | 17 | Average | 3.0 | 11 | 3350 | 173 | 40 | 258 | 2.53 | Domestic |
2 | AMC Spirit | 3799 | 22 | NaN | 3.0 | 12 | 2640 | 168 | 35 | 121 | 3.08 | Domestic |
3 | Buick Century | 4816 | 20 | Average | 4.5 | 16 | 3250 | 196 | 40 | 196 | 2.93 | Domestic |
4 | Buick Electra | 7827 | 15 | Good | 4.0 | 20 | 4080 | 222 | 43 | 350 | 2.41 | Domestic |
5 | Buick LeSabre | 5788 | 18 | Average | 4.0 | 21 | 3670 | 218 | 43 | 231 | 2.73 | Domestic |
6 | Buick Opel | 4453 | 26 | NaN | 3.0 | 10 | 2230 | 170 | 34 | 304 | 2.87 | Domestic |
7 | Buick Regal | 5189 | 20 | Average | 2.0 | 16 | 3280 | 200 | 42 | 196 | 2.93 | Domestic |
8 | Buick Riviera | 10372 | 16 | Average | 3.5 | 17 | 3880 | 207 | 43 | 231 | 2.93 | Domestic |
9 | Buick Skylark | 4082 | 19 | Average | 3.5 | 13 | 3400 | 200 | 42 | 231 | 3.08 | Domestic |
Last rows
make | price | mpg | rep78 | headroom | trunk | weight | length | turn | displacement | gear_ratio | foreign | |
---|---|---|---|---|---|---|---|---|---|---|---|---|
64 | Renault Le Car | 3895 | 26 | Average | 3.0 | 10 | 1830 | 142 | 34 | 79 | 3.72 | Foreign |
65 | Subaru | 3798 | 35 | Excellent | 2.5 | 11 | 2050 | 164 | 36 | 97 | 3.81 | Foreign |
66 | Toyota Celica | 5899 | 18 | Excellent | 2.5 | 14 | 2410 | 174 | 36 | 134 | 3.06 | Foreign |
67 | Toyota Corolla | 3748 | 31 | Excellent | 3.0 | 9 | 2200 | 165 | 35 | 97 | 3.21 | Foreign |
68 | Toyota Corona | 5719 | 18 | Excellent | 2.0 | 11 | 2670 | 175 | 36 | 134 | 3.05 | Foreign |
69 | VW Dasher | 7140 | 23 | Good | 2.5 | 12 | 2160 | 172 | 36 | 97 | 3.74 | Foreign |
70 | VW Diesel | 5397 | 41 | Excellent | 3.0 | 15 | 2040 | 155 | 35 | 90 | 3.78 | Foreign |
71 | VW Rabbit | 4697 | 25 | Good | 3.0 | 15 | 1930 | 155 | 35 | 89 | 3.78 | Foreign |
72 | VW Scirocco | 6850 | 25 | Good | 2.0 | 16 | 1990 | 156 | 36 | 97 | 3.78 | Foreign |
73 | Volvo 260 | 11995 | 17 | Excellent | 2.5 | 14 | 3170 | 193 | 37 | 163 | 2.98 | Foreign |