Merging EPA MPG Data with vPIC VIN Data

To run the code, use the Jupyter notebook vin_processing.ipynb.

I. Load and Fix.

Load vin and epa datasets from files:
- vin gets loaded from vin_file which contains decoded vin data that has been joined with vtyp3 data.
- epa gets loaded from epa_file contains mpg data.
Fix errors in datasets: e.g. wrong displacment for ford expedition, typo in model solstice (spelled solistice).
Drop all records that are missing make, model or year.
Replace missing fuelType1 with gasoline.
Make all fields lower case and trim white spaces.
Drop all vehicles that are in the following categories: incomplete, trailer, motorcycle, bus, low speed vehicle (lsv).
Get rid of duplicates fields: e.g. gasoline, gasoline becomes gasoline.
Drop records that are trucks based on a list of makes:
- volvo truck
- western star
- whitegmc
- winnebago
- winnebago industries, inc.
- workhorse
- ai-springfield
- autocar industries
- capacity of texas
- caterpillar
- e-one
- freightliner
- kenworth
- mack
- navistar
- peterbilt
- pierce manufacturing
- spartan motors chassis
- terex advance mixer
- the vehicle production group
- utilimaster motor corporation
- international.
Replace fields based on the following mapping:

'vin': {
	'fuelType1': {
		'compressed natural gas (cng)': 'natural gas',
		'liquefied petroleum gas (propane or lpg)': 'natural gas',
		'liquefied natural gas (lng)': 'natural gas',
		'gasoline, diesel': 'gasoline',
		'diesel, gasoline': 'gasoline',
		'ethanol (e85)': 'ethanol',
		'compressed natural gas (cng), gasoline': 'gasoline',
		'gasoline, compressed natural gas (cng)': 'gasoline',
		'compressed hydrogen / hydrogen': 'hydrogen',
		'fuel cell': 'hydrogen',
		},
	'drive': {
		'4x2': 'two',
		'6x6': 'all',
		'6x2': 'two',
		'8x2': 'two',
		'rwd/ rear wheel drive': 'two',
		'fwd/front wheel drive': 'two',
		'4x2, rwd/ rear wheel drive': 'two',
		'4x2, fwd/front wheel drive': 'two',
		'rwd/ rear wheel drive, 4x2': 'two',
		'fwd/front wheel drive, 4x2': 'two',
		'4wd/4-wheel drive/4x4': 'all',
		'awd/all wheel drive': 'all',
		},
	'transmission_type': {
		'manual/standard': 'manu',
		'automated manual transmission (amt)': 'manu',
		'manual/standard, manual/standard': 'manu',
		'dual-clutch transmission (dct)': 'manu',
		'continuously variable transmission (cvt)': 'auto',
		'automatic': 'auto',
		'automatic, continuously variable transmission (cvt)': 'auto',
		}
	},
'epa': {
	'fuelType1': {
		'regular gasoline': 'gasoline',
		'premium gasoline': 'gasoline',
		'midgrade gasoline': 'gasoline',
		},
	'drive': {
		'rear-wheel drive': 'two',
		'front-wheel drive': 'two',
		'2-wheel drive': 'two',
		'all-wheel drive': 'all',
		'4-wheel drive': 'all',
		'4-wheel or all-wheel drive': 'all',
		'part-time 4-wheel drive': 'all',
		},
	}
}

e.g. for vin, where fuelType1 is compressed natural gas (cng), it's replaced with natural gas; where drive is 4x2, it becomes two.

Modify fuel type to identify flexible fuel vehicles and electric vehicles.
1. Flexible fuel vehicles.
  - In both epa and vin, whenever fuelType1 or model or fuelType2 contains any of the following: ffv, flexible, ethanol, e85, or natural gas, fuelType1_mod becomes ffv.
  - In epa, whenever the variable atvType contains bi or ffv, or eng_dscr contains ffv, fuelType1_mod is set to ffv.
2. Electric vehicles.
  - In both epa and vin, if model contains plug or volt, or if fuelType1 is electric and fuelType2 is gasoline then fuelType1_mod is phev.
  - For the remaining models, in both epa and vin, if model contains hev or hybrid or if fuelType1 is gasoline and fuelType2 is electric then fuelType1_mod is hev.
  - For the remaining models, in both epa and vin, if model contains bev or electric or fueltType1 is electric then fuelType1_mod is bev.
  - In EPA, use atvType to determine the type of electric vehicle based on the following mapping: {'hybrid': 'hev', 'plug-in hybrid': 'phev', 'ev': 'bev'}.

II. Split and Expand.

In vin, split models using the regex [\w -]+, e.g. 575 m maranello/575 m maranello f1 becomes 575 m maranello and 575 m maranello f1; sl2, sw2 becomes sl2 and sw2.

In epa, split any model name that contains the string '/|,'; e.g. b2000/b2200/b2600 becomes b2000, b2200, and b2600; and use regex magic to catch strings that need to be duplicated rally g15/25 2wd (passenger) becomes rally g15 2wd (passenger), rally g25 2wd (passenger).

III. Modify Datasets.

Modify datasets such that the fields that are being matched correspond and add custom variables.

Extract displacement, transmission_speeds, transmission_type,
Add tonnage variable (named type). 1/4 and 1/2 ton has a type of 15, 3/4 ton is 25, and 1 ton is 35.
Add weight variable based on GVWR. We're extracting the upper bound of the range GVWR.
Modify models and makes so they correspond; e.g. pathfinder armada becomes armada; accord crosstour becomes crosstour.

IV. Merging.

Merge using make, model_mod, year, fuelType1_mod, type and all possible combinations of the following: drive_mod, displ_mod, cylinders, transmission_type_mod, transmission_speeds_mod, while dropping 1 field, then 2, etc. and eventually all fields, successively; i.e.
1. match on all fields first: make, model_mod, year, fuelType1_mod, type, drive_mod, displ_mod, cylinders, transmission_type_mod, transmission_speeds_mod;
2. drop 1 field:
  1. drop transmission_speeds_mod, match on make, model_mod, year, fuelType1_mod, type, drive_mod, displ_mod, cylinders, transmission_type_mod;
  - drop transmission_type_mod, match on make, model_mod, year, fuelType1_mod, type, drive_mod, displ_mod, cylinders, transmission_speeds_mod;
  1. ...
3. drop 2 fields:
  1. drop transmission_type_mod and tranmission_speeds_mod, match on make, model_mod, year, fuelType1_mod, type, drive_mod, dpdfispl_mod, cylinders;
  2. drop displ_mod, cylinders, match on make, model_mod, year, fuelType1_mod, type, drive_mod, transmission_type_mod, transmission_speeds_mod
  3. ...
4. ...
Merge using 'make', 'model_mod', 'year', 'type' (same as 1. but drop the fuel type) and use the same logic as 1. with the rest of the fields.
For all models that haven't been matched, if weight is above 8,000, tag as heavy and take out of the merging process.
Merge using 'make', 'model_mod', 'year', 'fuelType1_mod' only.

Results of the merge:

Merging datasets
**************************************************
('Merging using:', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type'])
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'drive_mod', 'displ_mod', 'cylinders', 'transmission_type_mod', 'transmission_speeds_mod'])
Weighted match fraction: 1.31%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'drive_mod', 'displ_mod', 'cylinders', 'transmission_type_mod'])
Weighted match fraction: 1.63%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'drive_mod', 'displ_mod', 'cylinders', 'transmission_speeds_mod'])
Weighted match fraction: 1.65%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'drive_mod', 'displ_mod', 'transmission_type_mod', 'transmission_speeds_mod'])
Weighted match fraction: 1.88%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'drive_mod', 'cylinders', 'transmission_type_mod', 'transmission_speeds_mod'])
Weighted match fraction: 1.88%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'displ_mod', 'cylinders', 'transmission_type_mod', 'transmission_speeds_mod'])
Weighted match fraction: 6.65%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'drive_mod', 'displ_mod', 'cylinders'])
Weighted match fraction: 48.72%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'drive_mod', 'displ_mod', 'transmission_type_mod'])
Weighted match fraction: 48.92%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'drive_mod', 'displ_mod', 'transmission_speeds_mod'])
Weighted match fraction: 48.92%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'drive_mod', 'cylinders', 'transmission_type_mod'])
Weighted match fraction: 48.92%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'drive_mod', 'cylinders', 'transmission_speeds_mod'])
Weighted match fraction: 48.92%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'drive_mod', 'transmission_type_mod', 'transmission_speeds_mod'])
Weighted match fraction: 48.92%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'displ_mod', 'cylinders', 'transmission_type_mod'])
Weighted match fraction: 50.98%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'displ_mod', 'cylinders', 'transmission_speeds_mod'])
Weighted match fraction: 50.99%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'displ_mod', 'transmission_type_mod', 'transmission_speeds_mod'])
Weighted match fraction: 51.29%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'cylinders', 'transmission_type_mod', 'transmission_speeds_mod'])
Weighted match fraction: 51.33%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'drive_mod', 'displ_mod'])
Weighted match fraction: 56.45%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'drive_mod', 'cylinders'])
Weighted match fraction: 58.11%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'drive_mod', 'transmission_type_mod'])
Weighted match fraction: 58.16%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'drive_mod', 'transmission_speeds_mod'])
Weighted match fraction: 58.16%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'displ_mod', 'cylinders'])
Weighted match fraction: 80.25%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'displ_mod', 'transmission_type_mod'])
Weighted match fraction: 80.38%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'displ_mod', 'transmission_speeds_mod'])
Weighted match fraction: 80.38%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'cylinders', 'transmission_type_mod'])
Weighted match fraction: 80.46%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'cylinders', 'transmission_speeds_mod'])
Weighted match fraction: 80.46%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'transmission_type_mod', 'transmission_speeds_mod'])
Weighted match fraction: 80.66%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'drive_mod'])
Weighted match fraction: 82.12%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'displ_mod'])
Weighted match fraction: 86.44%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'cylinders'])
Weighted match fraction: 87.13%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'transmission_type_mod'])
Weighted match fraction: 87.33%
('Matching on ', ['make', 'model_mod', 'year', 'fuelType1_mod', 'type', 'transmission_speeds_mod'])
Weighted match fraction: 87.33%
**************************************************
('Merging using:', ['make', 'model_mod', 'year', 'type'])
('Matching on ', ['make', 'model_mod', 'year', 'type', 'drive_mod', 'displ_mod', 'cylinders', 'transmission_type_mod', 'transmission_speeds_mod'])
Weighted match fraction: 87.33%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'drive_mod', 'displ_mod', 'cylinders', 'transmission_type_mod'])
Weighted match fraction: 87.33%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'drive_mod', 'displ_mod', 'cylinders', 'transmission_speeds_mod'])
Weighted match fraction: 87.33%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'drive_mod', 'displ_mod', 'transmission_type_mod', 'transmission_speeds_mod'])
Weighted match fraction: 87.33%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'drive_mod', 'cylinders', 'transmission_type_mod', 'transmission_speeds_mod'])
Weighted match fraction: 87.33%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'displ_mod', 'cylinders', 'transmission_type_mod', 'transmission_speeds_mod'])
Weighted match fraction: 87.35%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'drive_mod', 'displ_mod', 'cylinders'])
Weighted match fraction: 88.14%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'drive_mod', 'displ_mod', 'transmission_type_mod'])
Weighted match fraction: 88.14%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'drive_mod', 'displ_mod', 'transmission_speeds_mod'])
Weighted match fraction: 88.14%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'drive_mod', 'cylinders', 'transmission_type_mod'])
Weighted match fraction: 88.14%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'drive_mod', 'cylinders', 'transmission_speeds_mod'])
Weighted match fraction: 88.14%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'drive_mod', 'transmission_type_mod', 'transmission_speeds_mod'])
Weighted match fraction: 88.14%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'displ_mod', 'cylinders', 'transmission_type_mod'])
Weighted match fraction: 88.67%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'displ_mod', 'cylinders', 'transmission_speeds_mod'])
Weighted match fraction: 88.67%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'displ_mod', 'transmission_type_mod', 'transmission_speeds_mod'])
Weighted match fraction: 88.67%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'cylinders', 'transmission_type_mod', 'transmission_speeds_mod'])
Weighted match fraction: 88.68%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'drive_mod', 'displ_mod'])
Weighted match fraction: 88.76%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'drive_mod', 'cylinders'])
Weighted match fraction: 89.10%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'drive_mod', 'transmission_type_mod'])
Weighted match fraction: 89.10%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'drive_mod', 'transmission_speeds_mod'])
Weighted match fraction: 89.10%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'displ_mod', 'cylinders'])
Weighted match fraction: 89.48%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'displ_mod', 'transmission_type_mod'])
Weighted match fraction: 89.48%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'displ_mod', 'transmission_speeds_mod'])
Weighted match fraction: 89.48%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'cylinders', 'transmission_type_mod'])
Weighted match fraction: 89.48%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'cylinders', 'transmission_speeds_mod'])
Weighted match fraction: 89.48%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'transmission_type_mod', 'transmission_speeds_mod'])
Weighted match fraction: 89.48%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'drive_mod'])
Weighted match fraction: 89.59%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'displ_mod'])
Weighted match fraction: 89.63%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'cylinders'])
Weighted match fraction: 89.70%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'transmission_type_mod'])
Weighted match fraction: 89.71%
('Matching on ', ['make', 'model_mod', 'year', 'type', 'transmission_speeds_mod'])
Weighted match fraction: 89.71%
**************************************************
('Matching on', ['make', 'model_mod', 'year', 'fuelType1_mod'])
Weighted match fraction: 99.35%
**************************************************

Name		Name	Last commit message	Last commit date
Latest commit History 31 Commits
.ipynb_checkpoints		.ipynb_checkpoints
.gitignore		.gitignore
README.md		README.md
__init__.py		__init__.py
merge.py		merge.py
requirements.txt		requirements.txt
vin_processing.ipynb		vin_processing.ipynb
vin_processing.py		vin_processing.py

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Merging EPA MPG Data with vPIC VIN Data

I. Load and Fix.

II. Split and Expand.

III. Modify Datasets.

IV. Merging.

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Merging EPA MPG Data with vPIC VIN Data

I. Load and Fix.

II. Split and Expand.

III. Modify Datasets.

IV. Merging.

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