Baselight

1985 Automobile Dataset

1985 Auto Imports Database

@kaggle.fazilbtopal_auto85

About this Dataset

1985 Automobile Dataset

Context

Dataset is about cars from back in 85. It's raw and messy.

Content

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. The third factor is the relative average loss payment per insured vehicle year. This value is normalized for all autos within a particular size classification (two-door small, station wagons, sports/specialty, etc...), and represents the average loss per car per year.

Note: Several of the attributes in the database could be used as a "class" attribute.

Number of Instances: 205

Number of Attributes: 26 total
-- 15 continuous
-- 1 integer
-- 10 nominal

Attribute Information:

| Attribute | Attribute Range

  1. symboling: -3, -2, -1, 0, 1, 2, 3
  2. normalized-losses: continuous from 65 to 256
  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
  4. fuel-type: diesel, gas
  5. aspiration: std, turbo
  6. num-of-doors: four, two
  7. body-style: hardtop, wagon, sedan, hatchback, convertible
  8. drive-wheels: 4wd, fwd, rwd
  9. engine-location: front, rear
  10. wheel-base: continuous from 86.6 120.9
  11. length: continuous from 141.1 to 208.1
  12. width: continuous from 60.3 to 72.3
  13. height: continuous from 47.8 to 59.8
  14. curb-weight: continuous from 1488 to 4066
  15. engine-type: dohc, dohcv, l, ohc, ohcf, ohcv, rotor
  16. num-of-cylinders: eight, five, four, six, three, twelve, two
  17. engine-size: continuous from 61 to 326
  18. fuel-system: 1bbl, 2bbl, 4bbl, idi, mfi, mpfi, spdi, spfi
  19. bore: continuous from 2.54 to 3.94
  20. stroke: continuous from 2.07 to 4.17
  21. compression-ratio: continuous from 7 to 23
  22. horsepower: continuous from 48 to 288
  23. peak-rpm: continuous from 4150 to 6600
  24. city-mpg: continuous from 13 to 49
  25. highway-mpg: continuous from 16 to 54
  26. price: continuous from 5118 to 45400.

Acknowledgements

"Automobile Data Set" from the following link: https://archive.ics.uci.edu/ml/machine-learning-databases/autos/imports-85.data.

Inspiration

I used these data for data cleaning/analysis purposes.

Version 2

I added a new data which is the clean version of our original data.

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