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This commit is contained in:
Adam
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96b074e7a3
22 changed files with 5088 additions and 0 deletions
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.gitignore
vendored
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.gitignore
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.ipynb_checkpoints
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*/.ipynb_checkpoints
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clean.ipynb
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clean.ipynb
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{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "9151a000-1923-408b-bd86-16008dc95f97",
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||||||
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"metadata": {},
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"source": [
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"[readme](readme.md)"
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||||||
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]
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||||||
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},
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||||||
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{
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||||||
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"cell_type": "markdown",
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||||||
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"id": "cecbac86-abb3-4f6b-a101-2d9324d96274",
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||||||
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"metadata": {},
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||||||
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"source": [
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||||||
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"# Cleaning"
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||||||
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]
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||||||
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},
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||||||
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{
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||||||
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"cell_type": "markdown",
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||||||
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"id": "b67cb510-2df0-4ce4-a033-473710fdc749",
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||||||
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"metadata": {},
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||||||
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"source": [
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||||||
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"Load file and set column names"
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||||||
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]
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||||||
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},
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{
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||||||
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"cell_type": "code",
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||||||
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"execution_count": 1,
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||||||
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"id": "3c4bfade-d06d-4887-9eb4-ec7f5bc61625",
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||||||
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"metadata": {
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||||||
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"execution": {
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||||||
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"iopub.execute_input": "2022-07-21T20:29:36.887038Z",
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||||||
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"iopub.status.busy": "2022-07-21T20:29:36.886672Z",
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||||||
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"iopub.status.idle": "2022-07-21T20:29:37.222976Z",
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||||||
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"shell.execute_reply": "2022-07-21T20:29:37.222218Z",
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||||||
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"shell.execute_reply.started": "2022-07-21T20:29:36.886962Z"
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},
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"tags": []
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||||||
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},
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"outputs": [],
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"source": [
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"import pandas as pd\n",
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"\n",
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"df = pd.read_csv('data/auto-mpg.data',header=None,delim_whitespace=True)\n",
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"df.columns = ['mpg','cylinders','displacement','horsepower','weight',\n",
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" 'acceleration','model_year','origin','car_name']"
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]
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},
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{
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"cell_type": "markdown",
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"id": "fdcec7e3-c65e-4d66-9a10-b500fb940234",
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"metadata": {},
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"source": [
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"Attribute Information:\n",
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"\n",
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" 1. mpg: continuous\n",
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" 2. cylinders: multi-valued discrete\n",
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" 3. displacement: continuous\n",
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" 4. horsepower: continuous\n",
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" 5. weight: continuous\n",
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" 6. acceleration: continuous\n",
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" 7. model year: multi-valued discrete\n",
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" 8. origin: multi-valued discrete\n",
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" 9. car name: string (unique for each instance)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "62bbb6bd-b5b3-4d54-a132-23cd367c4570",
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"metadata": {
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"execution": {
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||||||
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"iopub.execute_input": "2022-07-21T20:29:37.225459Z",
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"iopub.status.busy": "2022-07-21T20:29:37.224901Z",
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||||||
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"iopub.status.idle": "2022-07-21T20:29:37.237624Z",
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"shell.execute_reply": "2022-07-21T20:29:37.236773Z",
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"shell.execute_reply.started": "2022-07-21T20:29:37.225432Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"<class 'pandas.core.frame.DataFrame'>\n",
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"RangeIndex: 398 entries, 0 to 397\n",
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"Data columns (total 9 columns):\n",
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" # Column Non-Null Count Dtype \n",
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"--- ------ -------------- ----- \n",
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" 0 mpg 398 non-null float64\n",
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" 1 cylinders 398 non-null int64 \n",
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" 2 displacement 398 non-null float64\n",
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" 3 horsepower 398 non-null object \n",
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" 4 weight 398 non-null float64\n",
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" 5 acceleration 398 non-null float64\n",
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" 6 model_year 398 non-null int64 \n",
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" 7 origin 398 non-null int64 \n",
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" 8 car_name 398 non-null object \n",
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"dtypes: float64(4), int64(3), object(2)\n",
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"memory usage: 28.1+ KB\n"
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]
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}
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],
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"source": [
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"df.info()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "6a4028ed-eda3-4c50-aed0-d9503d41a8e1",
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"metadata": {},
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"source": [
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"Why is horsepower not a number?"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "58fa2876-4ccb-4ef5-bc16-d25b74efb457",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2022-07-21T20:29:37.239126Z",
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"iopub.status.busy": "2022-07-21T20:29:37.238760Z",
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"iopub.status.idle": "2022-07-21T20:29:37.252035Z",
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"shell.execute_reply": "2022-07-21T20:29:37.251217Z",
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"shell.execute_reply.started": "2022-07-21T20:29:37.239098Z"
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},
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"tags": []
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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||||||
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"array(['130.0', '165.0', '150.0', '140.0', '198.0', '220.0', '215.0',\n",
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||||||
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" '225.0', '190.0', '170.0', '160.0', '95.00', '97.00', '85.00',\n",
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||||||
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" '88.00', '46.00', '87.00', '90.00', '113.0', '200.0', '210.0',\n",
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||||||
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" '193.0', '?', '100.0', '105.0', '175.0', '153.0', '180.0', '110.0',\n",
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||||||
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" '72.00', '86.00', '70.00', '76.00', '65.00', '69.00', '60.00',\n",
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||||||
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" '80.00', '54.00', '208.0', '155.0', '112.0', '92.00', '145.0',\n",
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||||||
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" '137.0', '158.0', '167.0', '94.00', '107.0', '230.0', '49.00',\n",
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||||||
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" '75.00', '91.00', '122.0', '67.00', '83.00', '78.00', '52.00',\n",
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||||||
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" '61.00', '93.00', '148.0', '129.0', '96.00', '71.00', '98.00',\n",
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||||||
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" '115.0', '53.00', '81.00', '79.00', '120.0', '152.0', '102.0',\n",
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||||||
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" '108.0', '68.00', '58.00', '149.0', '89.00', '63.00', '48.00',\n",
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||||||
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" '66.00', '139.0', '103.0', '125.0', '133.0', '138.0', '135.0',\n",
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||||||
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" '142.0', '77.00', '62.00', '132.0', '84.00', '64.00', '74.00',\n",
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||||||
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" '116.0', '82.00'], dtype=object)"
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]
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},
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"execution_count": 3,
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"metadata": {},
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||||||
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"output_type": "execute_result"
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||||||
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}
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],
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"source": [
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"df.horsepower.unique()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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||||||
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"id": "2d99ea58-ca51-4461-a127-c6b389b056a1",
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||||||
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"metadata": {
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||||||
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"execution": {
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||||||
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"iopub.execute_input": "2022-07-21T20:29:37.253416Z",
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||||||
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"iopub.status.busy": "2022-07-21T20:29:37.253082Z",
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||||||
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"iopub.status.idle": "2022-07-21T20:29:37.271785Z",
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||||||
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"shell.execute_reply": "2022-07-21T20:29:37.271054Z",
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||||||
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"shell.execute_reply.started": "2022-07-21T20:29:37.253389Z"
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||||||
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},
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||||||
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"tags": []
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||||||
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},
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"outputs": [
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{
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"data": {
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||||||
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"text/html": [
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||||||
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"<div>\n",
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||||||
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"<style scoped>\n",
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||||||
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" .dataframe tbody tr th:only-of-type {\n",
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||||||
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" vertical-align: middle;\n",
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||||||
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" }\n",
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||||||
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"\n",
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||||||
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" .dataframe tbody tr th {\n",
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||||||
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" vertical-align: top;\n",
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||||||
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" }\n",
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||||||
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"\n",
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||||||
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" .dataframe thead th {\n",
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||||||
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" text-align: right;\n",
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" }\n",
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"</style>\n",
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||||||
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"<table border=\"1\" class=\"dataframe\">\n",
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||||||
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" <thead>\n",
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||||||
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" <tr style=\"text-align: right;\">\n",
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" <th></th>\n",
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" <th>mpg</th>\n",
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" <th>cylinders</th>\n",
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" <th>displacement</th>\n",
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" <th>horsepower</th>\n",
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" <th>weight</th>\n",
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" <th>acceleration</th>\n",
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" <th>model_year</th>\n",
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" <th>origin</th>\n",
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" <th>car_name</th>\n",
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" </tr>\n",
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" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>32</th>\n",
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" <td>25.0</td>\n",
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" <td>4</td>\n",
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" <td>98.0</td>\n",
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" <td>?</td>\n",
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" <td>2046.0</td>\n",
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" <td>19.0</td>\n",
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" <td>71</td>\n",
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" <td>1</td>\n",
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" <td>ford pinto</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>126</th>\n",
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" <td>21.0</td>\n",
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" <td>6</td>\n",
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" <td>200.0</td>\n",
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" <td>?</td>\n",
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" <td>2875.0</td>\n",
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" <td>17.0</td>\n",
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" <td>74</td>\n",
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" <td>1</td>\n",
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" <td>ford maverick</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>330</th>\n",
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" <td>40.9</td>\n",
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" <td>4</td>\n",
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" <td>85.0</td>\n",
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" <td>?</td>\n",
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" <td>1835.0</td>\n",
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" <td>17.3</td>\n",
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" <td>80</td>\n",
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" <td>2</td>\n",
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||||||
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" <td>renault lecar deluxe</td>\n",
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" </tr>\n",
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" <tr>\n",
|
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" <th>336</th>\n",
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" <td>23.6</td>\n",
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" <td>4</td>\n",
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" <td>140.0</td>\n",
|
||||||
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" <td>?</td>\n",
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||||||
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" <td>2905.0</td>\n",
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||||||
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" <td>14.3</td>\n",
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||||||
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" <td>80</td>\n",
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" <td>1</td>\n",
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" <td>ford mustang cobra</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>354</th>\n",
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" <td>34.5</td>\n",
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||||||
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" <td>4</td>\n",
|
||||||
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" <td>100.0</td>\n",
|
||||||
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" <td>?</td>\n",
|
||||||
|
" <td>2320.0</td>\n",
|
||||||
|
" <td>15.8</td>\n",
|
||||||
|
" <td>81</td>\n",
|
||||||
|
" <td>2</td>\n",
|
||||||
|
" <td>renault 18i</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
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" <th>374</th>\n",
|
||||||
|
" <td>23.0</td>\n",
|
||||||
|
" <td>4</td>\n",
|
||||||
|
" <td>151.0</td>\n",
|
||||||
|
" <td>?</td>\n",
|
||||||
|
" <td>3035.0</td>\n",
|
||||||
|
" <td>20.5</td>\n",
|
||||||
|
" <td>82</td>\n",
|
||||||
|
" <td>1</td>\n",
|
||||||
|
" <td>amc concord dl</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" </tbody>\n",
|
||||||
|
"</table>\n",
|
||||||
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"</div>"
|
||||||
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],
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||||||
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"text/plain": [
|
||||||
|
" mpg cylinders displacement horsepower weight acceleration \\\n",
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"32 25.0 4 98.0 ? 2046.0 19.0 \n",
|
||||||
|
"126 21.0 6 200.0 ? 2875.0 17.0 \n",
|
||||||
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"330 40.9 4 85.0 ? 1835.0 17.3 \n",
|
||||||
|
"336 23.6 4 140.0 ? 2905.0 14.3 \n",
|
||||||
|
"354 34.5 4 100.0 ? 2320.0 15.8 \n",
|
||||||
|
"374 23.0 4 151.0 ? 3035.0 20.5 \n",
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|
"\n",
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|
" model_year origin car_name \n",
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"32 71 1 ford pinto \n",
|
||||||
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"126 74 1 ford maverick \n",
|
||||||
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"330 80 2 renault lecar deluxe \n",
|
||||||
|
"336 80 1 ford mustang cobra \n",
|
||||||
|
"354 81 2 renault 18i \n",
|
||||||
|
"374 82 1 amc concord dl "
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||||||
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]
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},
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"execution_count": 4,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"df[df.horsepower == '?']"
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]
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},
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{
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"cell_type": "markdown",
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"id": "498d069d-b95e-43d6-bd3d-4b707fdd9635",
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||||||
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"metadata": {},
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||||||
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"source": [
|
||||||
|
"I'll fill in what I can find online"
|
||||||
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]
|
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},
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{
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||||||
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"cell_type": "code",
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"execution_count": 5,
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"id": "e53a2eaf-a8f9-4d7e-bf8b-07a125cf6f06",
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"metadata": {
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||||||
|
"execution": {
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||||||
|
"iopub.execute_input": "2022-07-21T20:29:37.273324Z",
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||||||
|
"iopub.status.busy": "2022-07-21T20:29:37.272853Z",
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||||||
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"iopub.status.idle": "2022-07-21T20:29:37.278574Z",
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||||||
|
"shell.execute_reply": "2022-07-21T20:29:37.277496Z",
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||||||
|
"shell.execute_reply.started": "2022-07-21T20:29:37.273297Z"
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||||||
|
},
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||||||
|
"tags": []
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||||||
|
},
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||||||
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"outputs": [],
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||||||
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"source": [
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||||||
|
"# 1971 pinto kent I4\n",
|
||||||
|
"df.at[32,'horsepower'] = '75.0'\n",
|
||||||
|
"# 1974 maverick 200 I6\n",
|
||||||
|
"df.at[126,'horsepower'] = '85.0'\n",
|
||||||
|
"# 1980 renault lecar deluxe 85ci I4\n",
|
||||||
|
"df.at[330,'horsepower'] = '53.5'\n",
|
||||||
|
"# 1980 ford mustang cobra\n",
|
||||||
|
"# they seem confused between 2 different models\n",
|
||||||
|
"# 1981 renault 18i\n",
|
||||||
|
"df.at[354,'horsepower'] = '81.5'\n",
|
||||||
|
"#1982 AMC concord dl 151\n",
|
||||||
|
"df.at[374,'horsepower'] = '90'"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "68d959c5-9628-437f-8f3f-0b4c7002b1f0",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"We'll ignore the mustang because it's too far off from realistic, it looks like they got confused between two different models.\n",
|
||||||
|
"\n",
|
||||||
|
"Anyway, drop all '?' horsepower"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 6,
|
||||||
|
"id": "10400330-e6aa-43e0-910f-f97869c23d0f",
|
||||||
|
"metadata": {
|
||||||
|
"execution": {
|
||||||
|
"iopub.execute_input": "2022-07-21T20:29:37.280095Z",
|
||||||
|
"iopub.status.busy": "2022-07-21T20:29:37.279777Z",
|
||||||
|
"iopub.status.idle": "2022-07-21T20:29:37.286985Z",
|
||||||
|
"shell.execute_reply": "2022-07-21T20:29:37.286202Z",
|
||||||
|
"shell.execute_reply.started": "2022-07-21T20:29:37.280060Z"
|
||||||
|
},
|
||||||
|
"tags": []
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"df.drop(df[df.horsepower == '?'].index,inplace=True)\n",
|
||||||
|
"df['horsepower'] = df.horsepower.astype(float)\n",
|
||||||
|
"df.reset_index(inplace=True,drop=True)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "b2afc76d-c428-4b81-9882-5ea19ecd04bb",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"And set to floats, like the rest"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 7,
|
||||||
|
"id": "e0fd9a7b-6cdf-4346-8c8d-6c5f36e167f6",
|
||||||
|
"metadata": {
|
||||||
|
"execution": {
|
||||||
|
"iopub.execute_input": "2022-07-21T20:29:37.289881Z",
|
||||||
|
"iopub.status.busy": "2022-07-21T20:29:37.289472Z",
|
||||||
|
"iopub.status.idle": "2022-07-21T20:29:37.301335Z",
|
||||||
|
"shell.execute_reply": "2022-07-21T20:29:37.300537Z",
|
||||||
|
"shell.execute_reply.started": "2022-07-21T20:29:37.289852Z"
|
||||||
|
},
|
||||||
|
"tags": []
|
||||||
|
},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"<class 'pandas.core.frame.DataFrame'>\n",
|
||||||
|
"RangeIndex: 397 entries, 0 to 396\n",
|
||||||
|
"Data columns (total 9 columns):\n",
|
||||||
|
" # Column Non-Null Count Dtype \n",
|
||||||
|
"--- ------ -------------- ----- \n",
|
||||||
|
" 0 mpg 397 non-null float64\n",
|
||||||
|
" 1 cylinders 397 non-null int64 \n",
|
||||||
|
" 2 displacement 397 non-null float64\n",
|
||||||
|
" 3 horsepower 397 non-null float64\n",
|
||||||
|
" 4 weight 397 non-null float64\n",
|
||||||
|
" 5 acceleration 397 non-null float64\n",
|
||||||
|
" 6 model_year 397 non-null int64 \n",
|
||||||
|
" 7 origin 397 non-null int64 \n",
|
||||||
|
" 8 car_name 397 non-null object \n",
|
||||||
|
"dtypes: float64(5), int64(3), object(1)\n",
|
||||||
|
"memory usage: 28.0+ KB\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"df.info()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "097c4cec-eb77-46f6-8eef-89eb7c47b425",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"Looks good"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "151e5f1b-6409-4972-9c79-a26d132eedf5",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"### Min/Max to check range"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 8,
|
||||||
|
"id": "769f33e7-2f2e-46e8-b6dd-8f8fb79d13b7",
|
||||||
|
"metadata": {
|
||||||
|
"execution": {
|
||||||
|
"iopub.execute_input": "2022-07-21T20:29:37.303380Z",
|
||||||
|
"iopub.status.busy": "2022-07-21T20:29:37.302680Z",
|
||||||
|
"iopub.status.idle": "2022-07-21T20:29:37.310508Z",
|
||||||
|
"shell.execute_reply": "2022-07-21T20:29:37.309738Z",
|
||||||
|
"shell.execute_reply.started": "2022-07-21T20:29:37.303336Z"
|
||||||
|
},
|
||||||
|
"tags": []
|
||||||
|
},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"mpg\n",
|
||||||
|
"Min: 9.0 \n",
|
||||||
|
"Max: 46.6\n",
|
||||||
|
"\n",
|
||||||
|
"cylinders\n",
|
||||||
|
"Min: 3 \n",
|
||||||
|
"Max: 8\n",
|
||||||
|
"\n",
|
||||||
|
"displacement\n",
|
||||||
|
"Min: 68.0 \n",
|
||||||
|
"Max: 455.0\n",
|
||||||
|
"\n",
|
||||||
|
"horsepower\n",
|
||||||
|
"Min: 46.0 \n",
|
||||||
|
"Max: 230.0\n",
|
||||||
|
"\n",
|
||||||
|
"weight\n",
|
||||||
|
"Min: 1613.0 \n",
|
||||||
|
"Max: 5140.0\n",
|
||||||
|
"\n",
|
||||||
|
"acceleration\n",
|
||||||
|
"Min: 8.0 \n",
|
||||||
|
"Max: 24.8\n",
|
||||||
|
"\n",
|
||||||
|
"model_year\n",
|
||||||
|
"Min: 70 \n",
|
||||||
|
"Max: 82\n",
|
||||||
|
"\n",
|
||||||
|
"origin\n",
|
||||||
|
"Min: 1 \n",
|
||||||
|
"Max: 3\n",
|
||||||
|
"\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"for col in df.columns[:-1]:\n",
|
||||||
|
" print(f'''{col}\n",
|
||||||
|
"Min: {df[col].min()} \n",
|
||||||
|
"Max: {df[col].max()}\n",
|
||||||
|
"''')"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "59641984-e266-4eaa-a90d-af266cb95936",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"All of this makes sense"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 9,
|
||||||
|
"id": "7bac1a71-53d2-4081-b566-244bccd3a3c6",
|
||||||
|
"metadata": {
|
||||||
|
"execution": {
|
||||||
|
"iopub.execute_input": "2022-07-21T20:29:37.312020Z",
|
||||||
|
"iopub.status.busy": "2022-07-21T20:29:37.311631Z",
|
||||||
|
"iopub.status.idle": "2022-07-21T20:29:37.319881Z",
|
||||||
|
"shell.execute_reply": "2022-07-21T20:29:37.318953Z",
|
||||||
|
"shell.execute_reply.started": "2022-07-21T20:29:37.311992Z"
|
||||||
|
},
|
||||||
|
"tags": []
|
||||||
|
},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"text/plain": [
|
||||||
|
"array(['datsun pl510', 'amc gremlin', 'chevrolet chevelle malibu',\n",
|
||||||
|
" 'chevrolet impala', 'ford galaxie 500', 'plymouth fury iii',\n",
|
||||||
|
" 'pontiac catalina', 'amc matador', 'amc hornet', 'ford maverick',\n",
|
||||||
|
" 'plymouth duster', 'chevrolet vega', 'ford pinto',\n",
|
||||||
|
" 'toyota corolla 1200', 'ford gran torino', 'ford gran torino (sw)',\n",
|
||||||
|
" 'amc matador (sw)', 'opel manta', 'toyota corona', 'fiat 128',\n",
|
||||||
|
" 'chevrolet nova', 'ford ltd', 'volkswagen dasher', 'datsun 710',\n",
|
||||||
|
" 'audi 100ls', 'peugeot 504', 'saab 99le', 'opel 1900',\n",
|
||||||
|
" 'dodge colt', 'chevrolet chevelle malibu classic',\n",
|
||||||
|
" 'plymouth valiant', 'honda civic', 'volkswagen rabbit',\n",
|
||||||
|
" 'toyota corolla', 'toyota mark ii', 'chevrolet caprice classic',\n",
|
||||||
|
" 'chevrolet chevette', 'honda civic cvcc', 'chevrolet malibu',\n",
|
||||||
|
" 'chevrolet monte carlo landau', 'buick estate wagon (sw)',\n",
|
||||||
|
" 'ford country squire (sw)', 'oldsmobile cutlass salon brougham',\n",
|
||||||
|
" 'vw rabbit', 'chevrolet citation', 'amc concord', 'dodge aspen',\n",
|
||||||
|
" 'datsun 210', 'subaru dl', 'buick skylark', 'plymouth reliant',\n",
|
||||||
|
" 'subaru', 'mazda 626', 'buick century', 'pontiac phoenix',\n",
|
||||||
|
" 'honda accord'], dtype=object)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 9,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"df[df.car_name.duplicated()].car_name.unique()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "81b8d5a5-d323-4a70-b951-b2fe4fb1e35f",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"There are some duplicate car names, honestly I wish there were more. If I had a bunch of data with lots of duplicate car names it'd actually be easier to predict MPG I imagine, I'll say more on this later but there are some big factors that aren't represented here."
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 10,
|
||||||
|
"id": "87715776-3634-4ca7-bbb4-e04633fe4791",
|
||||||
|
"metadata": {
|
||||||
|
"execution": {
|
||||||
|
"iopub.execute_input": "2022-07-21T20:29:37.321678Z",
|
||||||
|
"iopub.status.busy": "2022-07-21T20:29:37.321045Z",
|
||||||
|
"iopub.status.idle": "2022-07-21T20:29:37.354573Z",
|
||||||
|
"shell.execute_reply": "2022-07-21T20:29:37.353866Z",
|
||||||
|
"shell.execute_reply.started": "2022-07-21T20:29:37.321651Z"
|
||||||
|
},
|
||||||
|
"tags": []
|
||||||
|
},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"text/html": [
|
||||||
|
"<div>\n",
|
||||||
|
"<style scoped>\n",
|
||||||
|
" .dataframe tbody tr th:only-of-type {\n",
|
||||||
|
" vertical-align: middle;\n",
|
||||||
|
" }\n",
|
||||||
|
"\n",
|
||||||
|
" .dataframe tbody tr th {\n",
|
||||||
|
" vertical-align: top;\n",
|
||||||
|
" }\n",
|
||||||
|
"\n",
|
||||||
|
" .dataframe thead th {\n",
|
||||||
|
" text-align: right;\n",
|
||||||
|
" }\n",
|
||||||
|
"</style>\n",
|
||||||
|
"<table border=\"1\" class=\"dataframe\">\n",
|
||||||
|
" <thead>\n",
|
||||||
|
" <tr style=\"text-align: right;\">\n",
|
||||||
|
" <th></th>\n",
|
||||||
|
" <th>mpg</th>\n",
|
||||||
|
" <th>cylinders</th>\n",
|
||||||
|
" <th>displacement</th>\n",
|
||||||
|
" <th>horsepower</th>\n",
|
||||||
|
" <th>weight</th>\n",
|
||||||
|
" <th>acceleration</th>\n",
|
||||||
|
" <th>model_year</th>\n",
|
||||||
|
" <th>origin</th>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" </thead>\n",
|
||||||
|
" <tbody>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>count</th>\n",
|
||||||
|
" <td>397.000000</td>\n",
|
||||||
|
" <td>397.000000</td>\n",
|
||||||
|
" <td>397.000000</td>\n",
|
||||||
|
" <td>397.000000</td>\n",
|
||||||
|
" <td>397.000000</td>\n",
|
||||||
|
" <td>397.000000</td>\n",
|
||||||
|
" <td>397.000000</td>\n",
|
||||||
|
" <td>397.000000</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>mean</th>\n",
|
||||||
|
" <td>23.514358</td>\n",
|
||||||
|
" <td>5.458438</td>\n",
|
||||||
|
" <td>193.560453</td>\n",
|
||||||
|
" <td>104.123426</td>\n",
|
||||||
|
" <td>2970.589421</td>\n",
|
||||||
|
" <td>15.571285</td>\n",
|
||||||
|
" <td>76.000000</td>\n",
|
||||||
|
" <td>1.574307</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>std</th>\n",
|
||||||
|
" <td>7.825846</td>\n",
|
||||||
|
" <td>1.701577</td>\n",
|
||||||
|
" <td>104.366796</td>\n",
|
||||||
|
" <td>38.396800</td>\n",
|
||||||
|
" <td>847.903955</td>\n",
|
||||||
|
" <td>2.760431</td>\n",
|
||||||
|
" <td>3.696846</td>\n",
|
||||||
|
" <td>0.802549</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>min</th>\n",
|
||||||
|
" <td>9.000000</td>\n",
|
||||||
|
" <td>3.000000</td>\n",
|
||||||
|
" <td>68.000000</td>\n",
|
||||||
|
" <td>46.000000</td>\n",
|
||||||
|
" <td>1613.000000</td>\n",
|
||||||
|
" <td>8.000000</td>\n",
|
||||||
|
" <td>70.000000</td>\n",
|
||||||
|
" <td>1.000000</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>25%</th>\n",
|
||||||
|
" <td>17.500000</td>\n",
|
||||||
|
" <td>4.000000</td>\n",
|
||||||
|
" <td>104.000000</td>\n",
|
||||||
|
" <td>75.000000</td>\n",
|
||||||
|
" <td>2223.000000</td>\n",
|
||||||
|
" <td>13.800000</td>\n",
|
||||||
|
" <td>73.000000</td>\n",
|
||||||
|
" <td>1.000000</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>50%</th>\n",
|
||||||
|
" <td>23.000000</td>\n",
|
||||||
|
" <td>4.000000</td>\n",
|
||||||
|
" <td>151.000000</td>\n",
|
||||||
|
" <td>92.000000</td>\n",
|
||||||
|
" <td>2800.000000</td>\n",
|
||||||
|
" <td>15.500000</td>\n",
|
||||||
|
" <td>76.000000</td>\n",
|
||||||
|
" <td>1.000000</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>75%</th>\n",
|
||||||
|
" <td>29.000000</td>\n",
|
||||||
|
" <td>8.000000</td>\n",
|
||||||
|
" <td>262.000000</td>\n",
|
||||||
|
" <td>125.000000</td>\n",
|
||||||
|
" <td>3609.000000</td>\n",
|
||||||
|
" <td>17.200000</td>\n",
|
||||||
|
" <td>79.000000</td>\n",
|
||||||
|
" <td>2.000000</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>max</th>\n",
|
||||||
|
" <td>46.600000</td>\n",
|
||||||
|
" <td>8.000000</td>\n",
|
||||||
|
" <td>455.000000</td>\n",
|
||||||
|
" <td>230.000000</td>\n",
|
||||||
|
" <td>5140.000000</td>\n",
|
||||||
|
" <td>24.800000</td>\n",
|
||||||
|
" <td>82.000000</td>\n",
|
||||||
|
" <td>3.000000</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" </tbody>\n",
|
||||||
|
"</table>\n",
|
||||||
|
"</div>"
|
||||||
|
],
|
||||||
|
"text/plain": [
|
||||||
|
" mpg cylinders displacement horsepower weight \\\n",
|
||||||
|
"count 397.000000 397.000000 397.000000 397.000000 397.000000 \n",
|
||||||
|
"mean 23.514358 5.458438 193.560453 104.123426 2970.589421 \n",
|
||||||
|
"std 7.825846 1.701577 104.366796 38.396800 847.903955 \n",
|
||||||
|
"min 9.000000 3.000000 68.000000 46.000000 1613.000000 \n",
|
||||||
|
"25% 17.500000 4.000000 104.000000 75.000000 2223.000000 \n",
|
||||||
|
"50% 23.000000 4.000000 151.000000 92.000000 2800.000000 \n",
|
||||||
|
"75% 29.000000 8.000000 262.000000 125.000000 3609.000000 \n",
|
||||||
|
"max 46.600000 8.000000 455.000000 230.000000 5140.000000 \n",
|
||||||
|
"\n",
|
||||||
|
" acceleration model_year origin \n",
|
||||||
|
"count 397.000000 397.000000 397.000000 \n",
|
||||||
|
"mean 15.571285 76.000000 1.574307 \n",
|
||||||
|
"std 2.760431 3.696846 0.802549 \n",
|
||||||
|
"min 8.000000 70.000000 1.000000 \n",
|
||||||
|
"25% 13.800000 73.000000 1.000000 \n",
|
||||||
|
"50% 15.500000 76.000000 1.000000 \n",
|
||||||
|
"75% 17.200000 79.000000 2.000000 \n",
|
||||||
|
"max 24.800000 82.000000 3.000000 "
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 10,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"df.describe()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "90fe9344-fe47-4503-be59-74d9d38cf1d3",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"Everything looks proportional"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "042416c1-0e56-4269-96c8-6926392e11e7",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"### Save"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 11,
|
||||||
|
"id": "b3b42cca-6960-4d06-b7c4-1570f09e9fe0",
|
||||||
|
"metadata": {
|
||||||
|
"execution": {
|
||||||
|
"iopub.execute_input": "2022-07-21T20:29:37.355994Z",
|
||||||
|
"iopub.status.busy": "2022-07-21T20:29:37.355617Z",
|
||||||
|
"iopub.status.idle": "2022-07-21T20:29:37.364909Z",
|
||||||
|
"shell.execute_reply": "2022-07-21T20:29:37.364122Z",
|
||||||
|
"shell.execute_reply.started": "2022-07-21T20:29:37.355966Z"
|
||||||
|
},
|
||||||
|
"tags": []
|
||||||
|
},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"df.to_csv('data/clean.csv', index=False)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"id": "59524851-efe5-4042-8eee-d67038a13a77",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"[EDA](eda.ipynb)"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"metadata": {
|
||||||
|
"kernelspec": {
|
||||||
|
"display_name": "Python 3 (ipykernel)",
|
||||||
|
"language": "python",
|
||||||
|
"name": "python3"
|
||||||
|
},
|
||||||
|
"language_info": {
|
||||||
|
"codemirror_mode": {
|
||||||
|
"name": "ipython",
|
||||||
|
"version": 3
|
||||||
|
},
|
||||||
|
"file_extension": ".py",
|
||||||
|
"mimetype": "text/x-python",
|
||||||
|
"name": "python",
|
||||||
|
"nbconvert_exporter": "python",
|
||||||
|
"pygments_lexer": "ipython3",
|
||||||
|
"version": "3.10.5"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"nbformat": 4,
|
||||||
|
"nbformat_minor": 5
|
||||||
|
}
|
||||||
398
data/X.csv
Normal file
398
data/X.csv
Normal file
|
|
@ -0,0 +1,398 @@
|
||||||
|
horsepower,bore_size,grunt,load
|
||||||
|
130.0,38.375,90.62403846153846,0.08761415525114155
|
||||||
|
165.0,43.75,92.80303030303031,0.09477389656106147
|
||||||
|
150.0,39.75,84.27,0.09254947613504075
|
||||||
|
150.0,38.0,77.01333333333334,0.08855228662976988
|
||||||
|
140.0,37.75,81.43214285714286,0.08756161206146709
|
||||||
|
198.0,53.625,116.1875,0.09882515549412578
|
||||||
|
220.0,56.75,117.11136363636363,0.10427193385392743
|
||||||
|
215.0,55.0,112.55813953488372,0.10204081632653061
|
||||||
|
225.0,56.875,115.01388888888889,0.10282485875706214
|
||||||
|
190.0,48.75,100.06578947368422,0.1012987012987013
|
||||||
|
170.0,47.875,107.85955882352941,0.10749368509682851
|
||||||
|
160.0,42.5,90.3125,0.0942089221390967
|
||||||
|
150.0,50.0,133.33333333333334,0.10635469290082425
|
||||||
|
225.0,56.875,115.01388888888889,0.091
|
||||||
|
95.0,28.25,33.60263157894737,0.047639123102866776
|
||||||
|
95.0,33.0,68.77894736842106,0.06989057536180728
|
||||||
|
97.0,33.166666666666664,68.04295532646047,0.07173756308579668
|
||||||
|
85.0,33.333333333333336,78.43137254901961,0.07730962504831851
|
||||||
|
88.0,24.25,26.730113636363637,0.045539906103286384
|
||||||
|
46.0,24.25,51.13586956521739,0.05286103542234333
|
||||||
|
87.0,27.5,34.770114942528735,0.04116766467065868
|
||||||
|
90.0,26.75,31.802777777777777,0.044032921810699586
|
||||||
|
95.0,26.0,28.46315789473684,0.043789473684210524
|
||||||
|
113.0,30.25,32.39159292035398,0.05416293643688451
|
||||||
|
90.0,33.166666666666664,73.33518518518518,0.07515105740181269
|
||||||
|
215.0,45.0,75.34883720930233,0.0780065005417118
|
||||||
|
200.0,38.375,58.905625,0.07015539305301645
|
||||||
|
210.0,39.75,60.19285714285714,0.07256960292104062
|
||||||
|
193.0,38.0,59.85492227979275,0.06424344885883347
|
||||||
|
88.0,24.25,26.730113636363637,0.045539906103286384
|
||||||
|
90.0,35.0,54.44444444444444,0.061837455830388695
|
||||||
|
95.0,28.25,33.60263157894737,0.050718132854578095
|
||||||
|
75.0,24.5,32.013333333333335,0.047898338220918865
|
||||||
|
100.0,38.666666666666664,89.70666666666666,0.08807896735003796
|
||||||
|
105.0,37.5,80.35714285714286,0.06542599592904914
|
||||||
|
100.0,41.666666666666664,104.16666666666666,0.07509762691498949
|
||||||
|
88.0,41.666666666666664,118.37121212121212,0.07571168988491823
|
||||||
|
100.0,38.666666666666664,89.70666666666666,0.0705596107055961
|
||||||
|
165.0,43.75,92.80303030303031,0.08315514373960561
|
||||||
|
175.0,50.0,114.28571428571429,0.08960573476702509
|
||||||
|
153.0,43.875,100.65441176470588,0.08449687048627828
|
||||||
|
150.0,39.75,84.27,0.07763671875
|
||||||
|
180.0,47.875,101.86736111111111,0.07729566094853683
|
||||||
|
170.0,50.0,117.64705882352942,0.08428150021070376
|
||||||
|
175.0,50.0,114.28571428571429,0.07782101167315175
|
||||||
|
110.0,43.0,100.85454545454546,0.08710330857528698
|
||||||
|
72.0,35.0,68.05555555555556,0.05813953488372093
|
||||||
|
100.0,41.666666666666664,104.16666666666666,0.07617306520414381
|
||||||
|
88.0,41.666666666666664,118.37121212121212,0.07964319847085059
|
||||||
|
86.0,30.5,43.26744186046512,0.054954954954954956
|
||||||
|
90.0,29.0,37.37777777777778,0.054639660857277436
|
||||||
|
70.0,19.75,22.289285714285715,0.038090646094503376
|
||||||
|
76.0,22.0,25.473684210526315,0.04261501210653753
|
||||||
|
65.0,17.75,19.388461538461538,0.04004512126339538
|
||||||
|
69.0,18.0,18.782608695652172,0.044637321760694355
|
||||||
|
60.0,24.25,39.204166666666666,0.05288985823336968
|
||||||
|
70.0,22.75,29.575,0.046547314578005115
|
||||||
|
95.0,28.25,33.60263157894737,0.04960491659350307
|
||||||
|
80.0,24.375,29.70703125,0.04586077140169332
|
||||||
|
54.0,24.25,43.56018518518518,0.04303460514640639
|
||||||
|
90.0,35.0,54.44444444444444,0.05813953488372093
|
||||||
|
86.0,30.5,43.26744186046512,0.05480682839173405
|
||||||
|
165.0,43.75,92.80303030303031,0.08189050070191858
|
||||||
|
175.0,50.0,114.28571428571429,0.09122006841505131
|
||||||
|
150.0,39.75,84.27,0.07690447400241839
|
||||||
|
153.0,43.875,100.65441176470588,0.08500847662872366
|
||||||
|
150.0,38.0,77.01333333333334,0.08278867102396514
|
||||||
|
208.0,53.625,110.6015625,0.09259658968271099
|
||||||
|
155.0,43.75,98.79032258064517,0.07774322523322967
|
||||||
|
160.0,43.75,95.703125,0.07854578096947935
|
||||||
|
190.0,50.0,105.26315789473685,0.09045680687471733
|
||||||
|
97.0,23.333333333333332,16.83848797250859,0.030042918454935622
|
||||||
|
150.0,38.0,77.01333333333334,0.07810894141829394
|
||||||
|
130.0,38.375,90.62403846153846,0.0749145924841386
|
||||||
|
140.0,37.75,81.43214285714286,0.0703306939916162
|
||||||
|
150.0,39.75,84.27,0.07799852832965416
|
||||||
|
112.0,30.25,32.68080357142857,0.04125468803273099
|
||||||
|
76.0,30.25,48.161184210526315,0.04818797291915571
|
||||||
|
87.0,30.0,41.37931034482759,0.04028197381671702
|
||||||
|
69.0,24.0,33.391304347826086,0.0438556418455916
|
||||||
|
86.0,30.5,43.26744186046512,0.05093945720250522
|
||||||
|
92.0,24.25,25.567934782608695,0.042395104895104896
|
||||||
|
97.0,30.0,37.113402061855666,0.047885075818036714
|
||||||
|
80.0,24.5,30.0125,0.04528650646950092
|
||||||
|
88.0,24.25,26.730113636363637,0.04619047619047619
|
||||||
|
175.0,43.75,87.5,0.08536585365853659
|
||||||
|
150.0,38.0,77.01333333333334,0.08278867102396514
|
||||||
|
145.0,43.75,105.60344827586206,0.08776328986960882
|
||||||
|
137.0,37.75,83.21532846715328,0.07471548738248392
|
||||||
|
150.0,39.75,84.27,0.08419380460683082
|
||||||
|
198.0,53.625,116.1875,0.08663166397415185
|
||||||
|
150.0,50.0,133.33333333333334,0.08960573476702509
|
||||||
|
158.0,43.875,97.46914556962025,0.08044923217969287
|
||||||
|
150.0,39.75,84.27,0.07505310361104556
|
||||||
|
215.0,55.0,112.55813953488372,0.09292502639915523
|
||||||
|
225.0,56.875,115.01388888888889,0.09190062613613412
|
||||||
|
175.0,45.0,92.57142857142857,0.0942161737764983
|
||||||
|
105.0,37.5,80.35714285714286,0.07209227811598846
|
||||||
|
100.0,41.666666666666664,104.16666666666666,0.0762660158633313
|
||||||
|
100.0,38.666666666666664,89.70666666666666,0.07877758913412564
|
||||||
|
88.0,41.666666666666664,118.37121212121212,0.08275405494869248
|
||||||
|
95.0,33.0,68.77894736842106,0.06818181818181818
|
||||||
|
46.0,24.25,51.13586956521739,0.04974358974358974
|
||||||
|
150.0,50.0,133.33333333333334,0.08004802881729037
|
||||||
|
167.0,50.0,119.76047904191617,0.08153281695882593
|
||||||
|
170.0,45.0,95.29411764705883,0.07735281478298238
|
||||||
|
180.0,43.75,85.06944444444446,0.07779506557012669
|
||||||
|
100.0,38.666666666666664,89.70666666666666,0.08318393689494442
|
||||||
|
88.0,24.25,26.730113636363637,0.04256252742430891
|
||||||
|
72.0,35.0,68.05555555555556,0.05830903790087463
|
||||||
|
94.0,27.0,31.02127659574468,0.04539722572509458
|
||||||
|
90.0,23.333333333333332,18.148148148148145,0.03295668549905838
|
||||||
|
85.0,30.5,43.77647058823529,0.05281385281385281
|
||||||
|
107.0,25.833333333333332,37.4221183800623,0.06270226537216829
|
||||||
|
90.0,24.5,26.677777777777777,0.04326710816777042
|
||||||
|
145.0,43.75,105.60344827586206,0.08574228319451249
|
||||||
|
230.0,50.0,86.95652173913044,0.09350163627863488
|
||||||
|
49.0,17.0,23.591836734693878,0.03642206748794858
|
||||||
|
75.0,29.0,44.85333333333333,0.05375347544022243
|
||||||
|
91.0,28.5,35.7032967032967,0.044151820294345466
|
||||||
|
112.0,30.25,32.68080357142857,0.04218967921896792
|
||||||
|
150.0,39.75,84.27,0.09355692850838482
|
||||||
|
110.0,30.25,33.275,0.04548872180451128
|
||||||
|
122.0,26.0,33.24590163934426,0.055575347345920914
|
||||||
|
180.0,43.75,85.06944444444446,0.09552401746724891
|
||||||
|
95.0,33.0,68.77894736842106,0.06382978723404255
|
||||||
|
85.0,33.333333333333336,78.43137254901961,0.06956521739130435
|
||||||
|
100.0,38.666666666666664,89.70666666666666,0.07997242330230955
|
||||||
|
100.0,41.666666666666664,104.16666666666666,0.0749400479616307
|
||||||
|
67.0,19.75,23.287313432835823,0.04051282051282051
|
||||||
|
80.0,30.5,46.5125,0.049775601795185635
|
||||||
|
65.0,17.75,19.388461538461538,0.03867102396514161
|
||||||
|
75.0,35.0,65.33333333333333,0.05507474429583006
|
||||||
|
100.0,41.666666666666664,104.16666666666666,0.06612007405448295
|
||||||
|
110.0,43.0,100.85454545454546,0.0710352422907489
|
||||||
|
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67.0,24.25,35.10820895522388,0.04697336561743341
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||||||
|
65.0,21.25,27.78846153846154,0.043037974683544304
|
||||||
|
62.0,22.25,31.939516129032256,0.04341463414634146
|
||||||
|
68.0,22.75,30.44485294117647,0.04584382871536524
|
||||||
|
63.0,26.25,43.75,0.04740406320541761
|
||||||
|
65.0,24.5,36.93846153846154,0.04792176039119805
|
||||||
|
65.0,24.5,36.93846153846154,0.041176470588235294
|
||||||
|
74.0,26.25,37.24662162162162,0.04794520547945205
|
||||||
|
81.5,25.0,30.67484662576687,0.04310344827586207
|
||||||
|
75.0,26.75,38.163333333333334,0.04841628959276018
|
||||||
|
75.0,27.0,38.88,0.04595744680851064
|
||||||
|
100.0,29.75,35.402499999999996,0.04550669216061185
|
||||||
|
74.0,30.0,48.648648648648646,0.04554079696394687
|
||||||
|
80.0,35.25,62.128125,0.04365325077399381
|
||||||
|
76.0,24.166666666666668,46.10745614035088,0.04588607594936709
|
||||||
|
116.0,28.0,40.55172413793103,0.057931034482758624
|
||||||
|
120.0,24.333333333333332,29.605555555555554,0.049829351535836175
|
||||||
|
110.0,38.5,80.85000000000001,0.06764275256222547
|
||||||
|
105.0,43.75,145.83333333333334,0.09395973154362416
|
||||||
|
88.0,33.333333333333336,75.75757575757576,0.06535947712418301
|
||||||
|
85.0,37.5,99.26470588235294,0.06493506493506493
|
||||||
|
88.0,28.0,35.63636363636364,0.042994241842610366
|
||||||
|
88.0,28.0,35.63636363636364,0.04242424242424243
|
||||||
|
88.0,28.0,35.63636363636364,0.04676409185803758
|
||||||
|
85.0,28.0,36.89411764705883,0.04349514563106796
|
||||||
|
84.0,33.75,54.24107142857143,0.053465346534653464
|
||||||
|
90.0,37.75,63.33611111111111,0.05521023765996344
|
||||||
|
92.0,35.0,53.26086956521739,0.04886561954624782
|
||||||
|
90.0,37.75,63.33611111111111,0.04975288303130148
|
||||||
|
74.0,26.25,37.24662162162162,0.05303030303030303
|
||||||
|
68.0,22.75,30.44485294117647,0.044938271604938275
|
||||||
|
68.0,22.75,30.44485294117647,0.04619289340101523
|
||||||
|
63.0,26.25,43.75,0.04941176470588235
|
||||||
|
70.0,24.5,34.3,0.04611764705882353
|
||||||
|
88.0,30.0,40.909090909090914,0.05555555555555555
|
||||||
|
75.0,26.75,38.163333333333334,0.04852607709750567
|
||||||
|
70.0,27.0,41.65714285714286,0.048106904231625836
|
||||||
|
67.0,22.75,30.899253731343283,0.04631043256997455
|
||||||
|
67.0,22.75,30.899253731343283,0.04631043256997455
|
||||||
|
67.0,22.75,30.899253731343283,0.0456140350877193
|
||||||
|
110.0,30.166666666666668,49.63787878787879,0.061460101867572156
|
||||||
|
85.0,43.666666666666664,134.59607843137255,0.08689883913764511
|
||||||
|
92.0,39.0,66.13043478260869,0.06034816247582205
|
||||||
|
112.0,38.666666666666664,80.09523809523809,0.0818342151675485
|
||||||
|
96.0,36.0,54.0,0.05403377110694184
|
||||||
|
84.0,33.75,54.24107142857143,0.056962025316455694
|
||||||
|
90.0,37.75,63.33611111111111,0.0511864406779661
|
||||||
|
86.0,35.0,56.97674418604651,0.05017921146953405
|
||||||
|
52.0,24.25,45.23557692307693,0.045539906103286384
|
||||||
|
84.0,33.75,54.24107142857143,0.058823529411764705
|
||||||
|
79.0,30.0,45.56962025316456,0.045714285714285714
|
||||||
|
82.0,29.75,43.173780487804876,0.04375
|
||||||
|
398
data/auto-mpg.data
Normal file
398
data/auto-mpg.data
Normal file
|
|
@ -0,0 +1,398 @@
|
||||||
|
18.0 8 307.0 130.0 3504. 12.0 70 1 "chevrolet chevelle malibu"
|
||||||
|
15.0 8 350.0 165.0 3693. 11.5 70 1 "buick skylark 320"
|
||||||
|
18.0 8 318.0 150.0 3436. 11.0 70 1 "plymouth satellite"
|
||||||
|
16.0 8 304.0 150.0 3433. 12.0 70 1 "amc rebel sst"
|
||||||
|
17.0 8 302.0 140.0 3449. 10.5 70 1 "ford torino"
|
||||||
|
15.0 8 429.0 198.0 4341. 10.0 70 1 "ford galaxie 500"
|
||||||
|
14.0 8 454.0 220.0 4354. 9.0 70 1 "chevrolet impala"
|
||||||
|
14.0 8 440.0 215.0 4312. 8.5 70 1 "plymouth fury iii"
|
||||||
|
14.0 8 455.0 225.0 4425. 10.0 70 1 "pontiac catalina"
|
||||||
|
15.0 8 390.0 190.0 3850. 8.5 70 1 "amc ambassador dpl"
|
||||||
|
15.0 8 383.0 170.0 3563. 10.0 70 1 "dodge challenger se"
|
||||||
|
14.0 8 340.0 160.0 3609. 8.0 70 1 "plymouth 'cuda 340"
|
||||||
|
15.0 8 400.0 150.0 3761. 9.5 70 1 "chevrolet monte carlo"
|
||||||
|
14.0 8 455.0 225.0 3086. 10.0 70 1 "buick estate wagon (sw)"
|
||||||
|
24.0 4 113.0 95.00 2372. 15.0 70 3 "toyota corona mark ii"
|
||||||
|
22.0 6 198.0 95.00 2833. 15.5 70 1 "plymouth duster"
|
||||||
|
18.0 6 199.0 97.00 2774. 15.5 70 1 "amc hornet"
|
||||||
|
21.0 6 200.0 85.00 2587. 16.0 70 1 "ford maverick"
|
||||||
|
27.0 4 97.00 88.00 2130. 14.5 70 3 "datsun pl510"
|
||||||
|
26.0 4 97.00 46.00 1835. 20.5 70 2 "volkswagen 1131 deluxe sedan"
|
||||||
|
25.0 4 110.0 87.00 2672. 17.5 70 2 "peugeot 504"
|
||||||
|
24.0 4 107.0 90.00 2430. 14.5 70 2 "audi 100 ls"
|
||||||
|
25.0 4 104.0 95.00 2375. 17.5 70 2 "saab 99e"
|
||||||
|
26.0 4 121.0 113.0 2234. 12.5 70 2 "bmw 2002"
|
||||||
|
21.0 6 199.0 90.00 2648. 15.0 70 1 "amc gremlin"
|
||||||
|
10.0 8 360.0 215.0 4615. 14.0 70 1 "ford f250"
|
||||||
|
10.0 8 307.0 200.0 4376. 15.0 70 1 "chevy c20"
|
||||||
|
11.0 8 318.0 210.0 4382. 13.5 70 1 "dodge d200"
|
||||||
|
9.0 8 304.0 193.0 4732. 18.5 70 1 "hi 1200d"
|
||||||
|
27.0 4 97.00 88.00 2130. 14.5 71 3 "datsun pl510"
|
||||||
|
28.0 4 140.0 90.00 2264. 15.5 71 1 "chevrolet vega 2300"
|
||||||
|
25.0 4 113.0 95.00 2228. 14.0 71 3 "toyota corona"
|
||||||
|
25.0 4 98.00 ? 2046. 19.0 71 1 "ford pinto"
|
||||||
|
19.0 6 232.0 100.0 2634. 13.0 71 1 "amc gremlin"
|
||||||
|
16.0 6 225.0 105.0 3439. 15.5 71 1 "plymouth satellite custom"
|
||||||
|
17.0 6 250.0 100.0 3329. 15.5 71 1 "chevrolet chevelle malibu"
|
||||||
|
19.0 6 250.0 88.00 3302. 15.5 71 1 "ford torino 500"
|
||||||
|
18.0 6 232.0 100.0 3288. 15.5 71 1 "amc matador"
|
||||||
|
14.0 8 350.0 165.0 4209. 12.0 71 1 "chevrolet impala"
|
||||||
|
14.0 8 400.0 175.0 4464. 11.5 71 1 "pontiac catalina brougham"
|
||||||
|
14.0 8 351.0 153.0 4154. 13.5 71 1 "ford galaxie 500"
|
||||||
|
14.0 8 318.0 150.0 4096. 13.0 71 1 "plymouth fury iii"
|
||||||
|
12.0 8 383.0 180.0 4955. 11.5 71 1 "dodge monaco (sw)"
|
||||||
|
13.0 8 400.0 170.0 4746. 12.0 71 1 "ford country squire (sw)"
|
||||||
|
13.0 8 400.0 175.0 5140. 12.0 71 1 "pontiac safari (sw)"
|
||||||
|
18.0 6 258.0 110.0 2962. 13.5 71 1 "amc hornet sportabout (sw)"
|
||||||
|
22.0 4 140.0 72.00 2408. 19.0 71 1 "chevrolet vega (sw)"
|
||||||
|
19.0 6 250.0 100.0 3282. 15.0 71 1 "pontiac firebird"
|
||||||
|
18.0 6 250.0 88.00 3139. 14.5 71 1 "ford mustang"
|
||||||
|
23.0 4 122.0 86.00 2220. 14.0 71 1 "mercury capri 2000"
|
||||||
|
28.0 4 116.0 90.00 2123. 14.0 71 2 "opel 1900"
|
||||||
|
30.0 4 79.00 70.00 2074. 19.5 71 2 "peugeot 304"
|
||||||
|
30.0 4 88.00 76.00 2065. 14.5 71 2 "fiat 124b"
|
||||||
|
31.0 4 71.00 65.00 1773. 19.0 71 3 "toyota corolla 1200"
|
||||||
|
35.0 4 72.00 69.00 1613. 18.0 71 3 "datsun 1200"
|
||||||
|
27.0 4 97.00 60.00 1834. 19.0 71 2 "volkswagen model 111"
|
||||||
|
26.0 4 91.00 70.00 1955. 20.5 71 1 "plymouth cricket"
|
||||||
|
24.0 4 113.0 95.00 2278. 15.5 72 3 "toyota corona hardtop"
|
||||||
|
25.0 4 97.50 80.00 2126. 17.0 72 1 "dodge colt hardtop"
|
||||||
|
23.0 4 97.00 54.00 2254. 23.5 72 2 "volkswagen type 3"
|
||||||
|
20.0 4 140.0 90.00 2408. 19.5 72 1 "chevrolet vega"
|
||||||
|
21.0 4 122.0 86.00 2226. 16.5 72 1 "ford pinto runabout"
|
||||||
|
13.0 8 350.0 165.0 4274. 12.0 72 1 "chevrolet impala"
|
||||||
|
14.0 8 400.0 175.0 4385. 12.0 72 1 "pontiac catalina"
|
||||||
|
15.0 8 318.0 150.0 4135. 13.5 72 1 "plymouth fury iii"
|
||||||
|
14.0 8 351.0 153.0 4129. 13.0 72 1 "ford galaxie 500"
|
||||||
|
17.0 8 304.0 150.0 3672. 11.5 72 1 "amc ambassador sst"
|
||||||
|
11.0 8 429.0 208.0 4633. 11.0 72 1 "mercury marquis"
|
||||||
|
13.0 8 350.0 155.0 4502. 13.5 72 1 "buick lesabre custom"
|
||||||
|
12.0 8 350.0 160.0 4456. 13.5 72 1 "oldsmobile delta 88 royale"
|
||||||
|
13.0 8 400.0 190.0 4422. 12.5 72 1 "chrysler newport royal"
|
||||||
|
19.0 3 70.00 97.00 2330. 13.5 72 3 "mazda rx2 coupe"
|
||||||
|
15.0 8 304.0 150.0 3892. 12.5 72 1 "amc matador (sw)"
|
||||||
|
13.0 8 307.0 130.0 4098. 14.0 72 1 "chevrolet chevelle concours (sw)"
|
||||||
|
13.0 8 302.0 140.0 4294. 16.0 72 1 "ford gran torino (sw)"
|
||||||
|
14.0 8 318.0 150.0 4077. 14.0 72 1 "plymouth satellite custom (sw)"
|
||||||
|
18.0 4 121.0 112.0 2933. 14.5 72 2 "volvo 145e (sw)"
|
||||||
|
22.0 4 121.0 76.00 2511. 18.0 72 2 "volkswagen 411 (sw)"
|
||||||
|
21.0 4 120.0 87.00 2979. 19.5 72 2 "peugeot 504 (sw)"
|
||||||
|
26.0 4 96.00 69.00 2189. 18.0 72 2 "renault 12 (sw)"
|
||||||
|
22.0 4 122.0 86.00 2395. 16.0 72 1 "ford pinto (sw)"
|
||||||
|
28.0 4 97.00 92.00 2288. 17.0 72 3 "datsun 510 (sw)"
|
||||||
|
23.0 4 120.0 97.00 2506. 14.5 72 3 "toyouta corona mark ii (sw)"
|
||||||
|
28.0 4 98.00 80.00 2164. 15.0 72 1 "dodge colt (sw)"
|
||||||
|
27.0 4 97.00 88.00 2100. 16.5 72 3 "toyota corolla 1600 (sw)"
|
||||||
|
13.0 8 350.0 175.0 4100. 13.0 73 1 "buick century 350"
|
||||||
|
14.0 8 304.0 150.0 3672. 11.5 73 1 "amc matador"
|
||||||
|
13.0 8 350.0 145.0 3988. 13.0 73 1 "chevrolet malibu"
|
||||||
|
14.0 8 302.0 137.0 4042. 14.5 73 1 "ford gran torino"
|
||||||
|
15.0 8 318.0 150.0 3777. 12.5 73 1 "dodge coronet custom"
|
||||||
|
12.0 8 429.0 198.0 4952. 11.5 73 1 "mercury marquis brougham"
|
||||||
|
13.0 8 400.0 150.0 4464. 12.0 73 1 "chevrolet caprice classic"
|
||||||
|
13.0 8 351.0 158.0 4363. 13.0 73 1 "ford ltd"
|
||||||
|
14.0 8 318.0 150.0 4237. 14.5 73 1 "plymouth fury gran sedan"
|
||||||
|
13.0 8 440.0 215.0 4735. 11.0 73 1 "chrysler new yorker brougham"
|
||||||
|
12.0 8 455.0 225.0 4951. 11.0 73 1 "buick electra 225 custom"
|
||||||
|
13.0 8 360.0 175.0 3821. 11.0 73 1 "amc ambassador brougham"
|
||||||
|
18.0 6 225.0 105.0 3121. 16.5 73 1 "plymouth valiant"
|
||||||
|
16.0 6 250.0 100.0 3278. 18.0 73 1 "chevrolet nova custom"
|
||||||
|
18.0 6 232.0 100.0 2945. 16.0 73 1 "amc hornet"
|
||||||
|
18.0 6 250.0 88.00 3021. 16.5 73 1 "ford maverick"
|
||||||
|
23.0 6 198.0 95.00 2904. 16.0 73 1 "plymouth duster"
|
||||||
|
26.0 4 97.00 46.00 1950. 21.0 73 2 "volkswagen super beetle"
|
||||||
|
11.0 8 400.0 150.0 4997. 14.0 73 1 "chevrolet impala"
|
||||||
|
12.0 8 400.0 167.0 4906. 12.5 73 1 "ford country"
|
||||||
|
13.0 8 360.0 170.0 4654. 13.0 73 1 "plymouth custom suburb"
|
||||||
|
12.0 8 350.0 180.0 4499. 12.5 73 1 "oldsmobile vista cruiser"
|
||||||
|
18.0 6 232.0 100.0 2789. 15.0 73 1 "amc gremlin"
|
||||||
|
20.0 4 97.00 88.00 2279. 19.0 73 3 "toyota carina"
|
||||||
|
21.0 4 140.0 72.00 2401. 19.5 73 1 "chevrolet vega"
|
||||||
|
22.0 4 108.0 94.00 2379. 16.5 73 3 "datsun 610"
|
||||||
|
18.0 3 70.00 90.00 2124. 13.5 73 3 "maxda rx3"
|
||||||
|
19.0 4 122.0 85.00 2310. 18.5 73 1 "ford pinto"
|
||||||
|
21.0 6 155.0 107.0 2472. 14.0 73 1 "mercury capri v6"
|
||||||
|
26.0 4 98.00 90.00 2265. 15.5 73 2 "fiat 124 sport coupe"
|
||||||
|
15.0 8 350.0 145.0 4082. 13.0 73 1 "chevrolet monte carlo s"
|
||||||
|
16.0 8 400.0 230.0 4278. 9.50 73 1 "pontiac grand prix"
|
||||||
|
29.0 4 68.00 49.00 1867. 19.5 73 2 "fiat 128"
|
||||||
|
24.0 4 116.0 75.00 2158. 15.5 73 2 "opel manta"
|
||||||
|
20.0 4 114.0 91.00 2582. 14.0 73 2 "audi 100ls"
|
||||||
|
19.0 4 121.0 112.0 2868. 15.5 73 2 "volvo 144ea"
|
||||||
|
15.0 8 318.0 150.0 3399. 11.0 73 1 "dodge dart custom"
|
||||||
|
24.0 4 121.0 110.0 2660. 14.0 73 2 "saab 99le"
|
||||||
|
20.0 6 156.0 122.0 2807. 13.5 73 3 "toyota mark ii"
|
||||||
|
11.0 8 350.0 180.0 3664. 11.0 73 1 "oldsmobile omega"
|
||||||
|
20.0 6 198.0 95.00 3102. 16.5 74 1 "plymouth duster"
|
||||||
|
21.0 6 200.0 ? 2875. 17.0 74 1 "ford maverick"
|
||||||
|
19.0 6 232.0 100.0 2901. 16.0 74 1 "amc hornet"
|
||||||
|
15.0 6 250.0 100.0 3336. 17.0 74 1 "chevrolet nova"
|
||||||
|
31.0 4 79.00 67.00 1950. 19.0 74 3 "datsun b210"
|
||||||
|
26.0 4 122.0 80.00 2451. 16.5 74 1 "ford pinto"
|
||||||
|
32.0 4 71.00 65.00 1836. 21.0 74 3 "toyota corolla 1200"
|
||||||
|
25.0 4 140.0 75.00 2542. 17.0 74 1 "chevrolet vega"
|
||||||
|
16.0 6 250.0 100.0 3781. 17.0 74 1 "chevrolet chevelle malibu classic"
|
||||||
|
16.0 6 258.0 110.0 3632. 18.0 74 1 "amc matador"
|
||||||
|
18.0 6 225.0 105.0 3613. 16.5 74 1 "plymouth satellite sebring"
|
||||||
|
16.0 8 302.0 140.0 4141. 14.0 74 1 "ford gran torino"
|
||||||
|
13.0 8 350.0 150.0 4699. 14.5 74 1 "buick century luxus (sw)"
|
||||||
|
14.0 8 318.0 150.0 4457. 13.5 74 1 "dodge coronet custom (sw)"
|
||||||
|
14.0 8 302.0 140.0 4638. 16.0 74 1 "ford gran torino (sw)"
|
||||||
|
14.0 8 304.0 150.0 4257. 15.5 74 1 "amc matador (sw)"
|
||||||
|
29.0 4 98.00 83.00 2219. 16.5 74 2 "audi fox"
|
||||||
|
26.0 4 79.00 67.00 1963. 15.5 74 2 "volkswagen dasher"
|
||||||
|
26.0 4 97.00 78.00 2300. 14.5 74 2 "opel manta"
|
||||||
|
31.0 4 76.00 52.00 1649. 16.5 74 3 "toyota corona"
|
||||||
|
32.0 4 83.00 61.00 2003. 19.0 74 3 "datsun 710"
|
||||||
|
28.0 4 90.00 75.00 2125. 14.5 74 1 "dodge colt"
|
||||||
|
24.0 4 90.00 75.00 2108. 15.5 74 2 "fiat 128"
|
||||||
|
26.0 4 116.0 75.00 2246. 14.0 74 2 "fiat 124 tc"
|
||||||
|
24.0 4 120.0 97.00 2489. 15.0 74 3 "honda civic"
|
||||||
|
26.0 4 108.0 93.00 2391. 15.5 74 3 "subaru"
|
||||||
|
31.0 4 79.00 67.00 2000. 16.0 74 2 "fiat x1.9"
|
||||||
|
19.0 6 225.0 95.00 3264. 16.0 75 1 "plymouth valiant custom"
|
||||||
|
18.0 6 250.0 105.0 3459. 16.0 75 1 "chevrolet nova"
|
||||||
|
15.0 6 250.0 72.00 3432. 21.0 75 1 "mercury monarch"
|
||||||
|
15.0 6 250.0 72.00 3158. 19.5 75 1 "ford maverick"
|
||||||
|
16.0 8 400.0 170.0 4668. 11.5 75 1 "pontiac catalina"
|
||||||
|
15.0 8 350.0 145.0 4440. 14.0 75 1 "chevrolet bel air"
|
||||||
|
16.0 8 318.0 150.0 4498. 14.5 75 1 "plymouth grand fury"
|
||||||
|
14.0 8 351.0 148.0 4657. 13.5 75 1 "ford ltd"
|
||||||
|
17.0 6 231.0 110.0 3907. 21.0 75 1 "buick century"
|
||||||
|
16.0 6 250.0 105.0 3897. 18.5 75 1 "chevroelt chevelle malibu"
|
||||||
|
15.0 6 258.0 110.0 3730. 19.0 75 1 "amc matador"
|
||||||
|
18.0 6 225.0 95.00 3785. 19.0 75 1 "plymouth fury"
|
||||||
|
21.0 6 231.0 110.0 3039. 15.0 75 1 "buick skyhawk"
|
||||||
|
20.0 8 262.0 110.0 3221. 13.5 75 1 "chevrolet monza 2+2"
|
||||||
|
13.0 8 302.0 129.0 3169. 12.0 75 1 "ford mustang ii"
|
||||||
|
29.0 4 97.00 75.00 2171. 16.0 75 3 "toyota corolla"
|
||||||
|
23.0 4 140.0 83.00 2639. 17.0 75 1 "ford pinto"
|
||||||
|
20.0 6 232.0 100.0 2914. 16.0 75 1 "amc gremlin"
|
||||||
|
23.0 4 140.0 78.00 2592. 18.5 75 1 "pontiac astro"
|
||||||
|
24.0 4 134.0 96.00 2702. 13.5 75 3 "toyota corona"
|
||||||
|
25.0 4 90.00 71.00 2223. 16.5 75 2 "volkswagen dasher"
|
||||||
|
24.0 4 119.0 97.00 2545. 17.0 75 3 "datsun 710"
|
||||||
|
18.0 6 171.0 97.00 2984. 14.5 75 1 "ford pinto"
|
||||||
|
29.0 4 90.00 70.00 1937. 14.0 75 2 "volkswagen rabbit"
|
||||||
|
19.0 6 232.0 90.00 3211. 17.0 75 1 "amc pacer"
|
||||||
|
23.0 4 115.0 95.00 2694. 15.0 75 2 "audi 100ls"
|
||||||
|
23.0 4 120.0 88.00 2957. 17.0 75 2 "peugeot 504"
|
||||||
|
22.0 4 121.0 98.00 2945. 14.5 75 2 "volvo 244dl"
|
||||||
|
25.0 4 121.0 115.0 2671. 13.5 75 2 "saab 99le"
|
||||||
|
33.0 4 91.00 53.00 1795. 17.5 75 3 "honda civic cvcc"
|
||||||
|
28.0 4 107.0 86.00 2464. 15.5 76 2 "fiat 131"
|
||||||
|
25.0 4 116.0 81.00 2220. 16.9 76 2 "opel 1900"
|
||||||
|
25.0 4 140.0 92.00 2572. 14.9 76 1 "capri ii"
|
||||||
|
26.0 4 98.00 79.00 2255. 17.7 76 1 "dodge colt"
|
||||||
|
27.0 4 101.0 83.00 2202. 15.3 76 2 "renault 12tl"
|
||||||
|
17.5 8 305.0 140.0 4215. 13.0 76 1 "chevrolet chevelle malibu classic"
|
||||||
|
16.0 8 318.0 150.0 4190. 13.0 76 1 "dodge coronet brougham"
|
||||||
|
15.5 8 304.0 120.0 3962. 13.9 76 1 "amc matador"
|
||||||
|
14.5 8 351.0 152.0 4215. 12.8 76 1 "ford gran torino"
|
||||||
|
22.0 6 225.0 100.0 3233. 15.4 76 1 "plymouth valiant"
|
||||||
|
22.0 6 250.0 105.0 3353. 14.5 76 1 "chevrolet nova"
|
||||||
|
24.0 6 200.0 81.00 3012. 17.6 76 1 "ford maverick"
|
||||||
|
22.5 6 232.0 90.00 3085. 17.6 76 1 "amc hornet"
|
||||||
|
29.0 4 85.00 52.00 2035. 22.2 76 1 "chevrolet chevette"
|
||||||
|
24.5 4 98.00 60.00 2164. 22.1 76 1 "chevrolet woody"
|
||||||
|
29.0 4 90.00 70.00 1937. 14.2 76 2 "vw rabbit"
|
||||||
|
33.0 4 91.00 53.00 1795. 17.4 76 3 "honda civic"
|
||||||
|
20.0 6 225.0 100.0 3651. 17.7 76 1 "dodge aspen se"
|
||||||
|
18.0 6 250.0 78.00 3574. 21.0 76 1 "ford granada ghia"
|
||||||
|
18.5 6 250.0 110.0 3645. 16.2 76 1 "pontiac ventura sj"
|
||||||
|
17.5 6 258.0 95.00 3193. 17.8 76 1 "amc pacer d/l"
|
||||||
|
29.5 4 97.00 71.00 1825. 12.2 76 2 "volkswagen rabbit"
|
||||||
|
32.0 4 85.00 70.00 1990. 17.0 76 3 "datsun b-210"
|
||||||
|
28.0 4 97.00 75.00 2155. 16.4 76 3 "toyota corolla"
|
||||||
|
26.5 4 140.0 72.00 2565. 13.6 76 1 "ford pinto"
|
||||||
|
20.0 4 130.0 102.0 3150. 15.7 76 2 "volvo 245"
|
||||||
|
13.0 8 318.0 150.0 3940. 13.2 76 1 "plymouth volare premier v8"
|
||||||
|
19.0 4 120.0 88.00 3270. 21.9 76 2 "peugeot 504"
|
||||||
|
19.0 6 156.0 108.0 2930. 15.5 76 3 "toyota mark ii"
|
||||||
|
16.5 6 168.0 120.0 3820. 16.7 76 2 "mercedes-benz 280s"
|
||||||
|
16.5 8 350.0 180.0 4380. 12.1 76 1 "cadillac seville"
|
||||||
|
13.0 8 350.0 145.0 4055. 12.0 76 1 "chevy c10"
|
||||||
|
13.0 8 302.0 130.0 3870. 15.0 76 1 "ford f108"
|
||||||
|
13.0 8 318.0 150.0 3755. 14.0 76 1 "dodge d100"
|
||||||
|
31.5 4 98.00 68.00 2045. 18.5 77 3 "honda accord cvcc"
|
||||||
|
30.0 4 111.0 80.00 2155. 14.8 77 1 "buick opel isuzu deluxe"
|
||||||
|
36.0 4 79.00 58.00 1825. 18.6 77 2 "renault 5 gtl"
|
||||||
|
25.5 4 122.0 96.00 2300. 15.5 77 1 "plymouth arrow gs"
|
||||||
|
33.5 4 85.00 70.00 1945. 16.8 77 3 "datsun f-10 hatchback"
|
||||||
|
17.5 8 305.0 145.0 3880. 12.5 77 1 "chevrolet caprice classic"
|
||||||
|
17.0 8 260.0 110.0 4060. 19.0 77 1 "oldsmobile cutlass supreme"
|
||||||
|
15.5 8 318.0 145.0 4140. 13.7 77 1 "dodge monaco brougham"
|
||||||
|
15.0 8 302.0 130.0 4295. 14.9 77 1 "mercury cougar brougham"
|
||||||
|
17.5 6 250.0 110.0 3520. 16.4 77 1 "chevrolet concours"
|
||||||
|
20.5 6 231.0 105.0 3425. 16.9 77 1 "buick skylark"
|
||||||
|
19.0 6 225.0 100.0 3630. 17.7 77 1 "plymouth volare custom"
|
||||||
|
18.5 6 250.0 98.00 3525. 19.0 77 1 "ford granada"
|
||||||
|
16.0 8 400.0 180.0 4220. 11.1 77 1 "pontiac grand prix lj"
|
||||||
|
15.5 8 350.0 170.0 4165. 11.4 77 1 "chevrolet monte carlo landau"
|
||||||
|
15.5 8 400.0 190.0 4325. 12.2 77 1 "chrysler cordoba"
|
||||||
|
16.0 8 351.0 149.0 4335. 14.5 77 1 "ford thunderbird"
|
||||||
|
29.0 4 97.00 78.00 1940. 14.5 77 2 "volkswagen rabbit custom"
|
||||||
|
24.5 4 151.0 88.00 2740. 16.0 77 1 "pontiac sunbird coupe"
|
||||||
|
26.0 4 97.00 75.00 2265. 18.2 77 3 "toyota corolla liftback"
|
||||||
|
25.5 4 140.0 89.00 2755. 15.8 77 1 "ford mustang ii 2+2"
|
||||||
|
30.5 4 98.00 63.00 2051. 17.0 77 1 "chevrolet chevette"
|
||||||
|
33.5 4 98.00 83.00 2075. 15.9 77 1 "dodge colt m/m"
|
||||||
|
30.0 4 97.00 67.00 1985. 16.4 77 3 "subaru dl"
|
||||||
|
30.5 4 97.00 78.00 2190. 14.1 77 2 "volkswagen dasher"
|
||||||
|
22.0 6 146.0 97.00 2815. 14.5 77 3 "datsun 810"
|
||||||
|
21.5 4 121.0 110.0 2600. 12.8 77 2 "bmw 320i"
|
||||||
|
21.5 3 80.00 110.0 2720. 13.5 77 3 "mazda rx-4"
|
||||||
|
43.1 4 90.00 48.00 1985. 21.5 78 2 "volkswagen rabbit custom diesel"
|
||||||
|
36.1 4 98.00 66.00 1800. 14.4 78 1 "ford fiesta"
|
||||||
|
32.8 4 78.00 52.00 1985. 19.4 78 3 "mazda glc deluxe"
|
||||||
|
39.4 4 85.00 70.00 2070. 18.6 78 3 "datsun b210 gx"
|
||||||
|
36.1 4 91.00 60.00 1800. 16.4 78 3 "honda civic cvcc"
|
||||||
|
19.9 8 260.0 110.0 3365. 15.5 78 1 "oldsmobile cutlass salon brougham"
|
||||||
|
19.4 8 318.0 140.0 3735. 13.2 78 1 "dodge diplomat"
|
||||||
|
20.2 8 302.0 139.0 3570. 12.8 78 1 "mercury monarch ghia"
|
||||||
|
19.2 6 231.0 105.0 3535. 19.2 78 1 "pontiac phoenix lj"
|
||||||
|
20.5 6 200.0 95.00 3155. 18.2 78 1 "chevrolet malibu"
|
||||||
|
20.2 6 200.0 85.00 2965. 15.8 78 1 "ford fairmont (auto)"
|
||||||
|
25.1 4 140.0 88.00 2720. 15.4 78 1 "ford fairmont (man)"
|
||||||
|
20.5 6 225.0 100.0 3430. 17.2 78 1 "plymouth volare"
|
||||||
|
19.4 6 232.0 90.00 3210. 17.2 78 1 "amc concord"
|
||||||
|
20.6 6 231.0 105.0 3380. 15.8 78 1 "buick century special"
|
||||||
|
20.8 6 200.0 85.00 3070. 16.7 78 1 "mercury zephyr"
|
||||||
|
18.6 6 225.0 110.0 3620. 18.7 78 1 "dodge aspen"
|
||||||
|
18.1 6 258.0 120.0 3410. 15.1 78 1 "amc concord d/l"
|
||||||
|
19.2 8 305.0 145.0 3425. 13.2 78 1 "chevrolet monte carlo landau"
|
||||||
|
17.7 6 231.0 165.0 3445. 13.4 78 1 "buick regal sport coupe (turbo)"
|
||||||
|
18.1 8 302.0 139.0 3205. 11.2 78 1 "ford futura"
|
||||||
|
17.5 8 318.0 140.0 4080. 13.7 78 1 "dodge magnum xe"
|
||||||
|
30.0 4 98.00 68.00 2155. 16.5 78 1 "chevrolet chevette"
|
||||||
|
27.5 4 134.0 95.00 2560. 14.2 78 3 "toyota corona"
|
||||||
|
27.2 4 119.0 97.00 2300. 14.7 78 3 "datsun 510"
|
||||||
|
30.9 4 105.0 75.00 2230. 14.5 78 1 "dodge omni"
|
||||||
|
21.1 4 134.0 95.00 2515. 14.8 78 3 "toyota celica gt liftback"
|
||||||
|
23.2 4 156.0 105.0 2745. 16.7 78 1 "plymouth sapporo"
|
||||||
|
23.8 4 151.0 85.00 2855. 17.6 78 1 "oldsmobile starfire sx"
|
||||||
|
23.9 4 119.0 97.00 2405. 14.9 78 3 "datsun 200-sx"
|
||||||
|
20.3 5 131.0 103.0 2830. 15.9 78 2 "audi 5000"
|
||||||
|
17.0 6 163.0 125.0 3140. 13.6 78 2 "volvo 264gl"
|
||||||
|
21.6 4 121.0 115.0 2795. 15.7 78 2 "saab 99gle"
|
||||||
|
16.2 6 163.0 133.0 3410. 15.8 78 2 "peugeot 604sl"
|
||||||
|
31.5 4 89.00 71.00 1990. 14.9 78 2 "volkswagen scirocco"
|
||||||
|
29.5 4 98.00 68.00 2135. 16.6 78 3 "honda accord lx"
|
||||||
|
21.5 6 231.0 115.0 3245. 15.4 79 1 "pontiac lemans v6"
|
||||||
|
19.8 6 200.0 85.00 2990. 18.2 79 1 "mercury zephyr 6"
|
||||||
|
22.3 4 140.0 88.00 2890. 17.3 79 1 "ford fairmont 4"
|
||||||
|
20.2 6 232.0 90.00 3265. 18.2 79 1 "amc concord dl 6"
|
||||||
|
20.6 6 225.0 110.0 3360. 16.6 79 1 "dodge aspen 6"
|
||||||
|
17.0 8 305.0 130.0 3840. 15.4 79 1 "chevrolet caprice classic"
|
||||||
|
17.6 8 302.0 129.0 3725. 13.4 79 1 "ford ltd landau"
|
||||||
|
16.5 8 351.0 138.0 3955. 13.2 79 1 "mercury grand marquis"
|
||||||
|
18.2 8 318.0 135.0 3830. 15.2 79 1 "dodge st. regis"
|
||||||
|
16.9 8 350.0 155.0 4360. 14.9 79 1 "buick estate wagon (sw)"
|
||||||
|
15.5 8 351.0 142.0 4054. 14.3 79 1 "ford country squire (sw)"
|
||||||
|
19.2 8 267.0 125.0 3605. 15.0 79 1 "chevrolet malibu classic (sw)"
|
||||||
|
18.5 8 360.0 150.0 3940. 13.0 79 1 "chrysler lebaron town @ country (sw)"
|
||||||
|
31.9 4 89.00 71.00 1925. 14.0 79 2 "vw rabbit custom"
|
||||||
|
34.1 4 86.00 65.00 1975. 15.2 79 3 "maxda glc deluxe"
|
||||||
|
35.7 4 98.00 80.00 1915. 14.4 79 1 "dodge colt hatchback custom"
|
||||||
|
27.4 4 121.0 80.00 2670. 15.0 79 1 "amc spirit dl"
|
||||||
|
25.4 5 183.0 77.00 3530. 20.1 79 2 "mercedes benz 300d"
|
||||||
|
23.0 8 350.0 125.0 3900. 17.4 79 1 "cadillac eldorado"
|
||||||
|
27.2 4 141.0 71.00 3190. 24.8 79 2 "peugeot 504"
|
||||||
|
23.9 8 260.0 90.00 3420. 22.2 79 1 "oldsmobile cutlass salon brougham"
|
||||||
|
34.2 4 105.0 70.00 2200. 13.2 79 1 "plymouth horizon"
|
||||||
|
34.5 4 105.0 70.00 2150. 14.9 79 1 "plymouth horizon tc3"
|
||||||
|
31.8 4 85.00 65.00 2020. 19.2 79 3 "datsun 210"
|
||||||
|
37.3 4 91.00 69.00 2130. 14.7 79 2 "fiat strada custom"
|
||||||
|
28.4 4 151.0 90.00 2670. 16.0 79 1 "buick skylark limited"
|
||||||
|
28.8 6 173.0 115.0 2595. 11.3 79 1 "chevrolet citation"
|
||||||
|
26.8 6 173.0 115.0 2700. 12.9 79 1 "oldsmobile omega brougham"
|
||||||
|
33.5 4 151.0 90.00 2556. 13.2 79 1 "pontiac phoenix"
|
||||||
|
41.5 4 98.00 76.00 2144. 14.7 80 2 "vw rabbit"
|
||||||
|
38.1 4 89.00 60.00 1968. 18.8 80 3 "toyota corolla tercel"
|
||||||
|
32.1 4 98.00 70.00 2120. 15.5 80 1 "chevrolet chevette"
|
||||||
|
37.2 4 86.00 65.00 2019. 16.4 80 3 "datsun 310"
|
||||||
|
28.0 4 151.0 90.00 2678. 16.5 80 1 "chevrolet citation"
|
||||||
|
26.4 4 140.0 88.00 2870. 18.1 80 1 "ford fairmont"
|
||||||
|
24.3 4 151.0 90.00 3003. 20.1 80 1 "amc concord"
|
||||||
|
19.1 6 225.0 90.00 3381. 18.7 80 1 "dodge aspen"
|
||||||
|
34.3 4 97.00 78.00 2188. 15.8 80 2 "audi 4000"
|
||||||
|
29.8 4 134.0 90.00 2711. 15.5 80 3 "toyota corona liftback"
|
||||||
|
31.3 4 120.0 75.00 2542. 17.5 80 3 "mazda 626"
|
||||||
|
37.0 4 119.0 92.00 2434. 15.0 80 3 "datsun 510 hatchback"
|
||||||
|
32.2 4 108.0 75.00 2265. 15.2 80 3 "toyota corolla"
|
||||||
|
46.6 4 86.00 65.00 2110. 17.9 80 3 "mazda glc"
|
||||||
|
27.9 4 156.0 105.0 2800. 14.4 80 1 "dodge colt"
|
||||||
|
40.8 4 85.00 65.00 2110. 19.2 80 3 "datsun 210"
|
||||||
|
44.3 4 90.00 48.00 2085. 21.7 80 2 "vw rabbit c (diesel)"
|
||||||
|
43.4 4 90.00 48.00 2335. 23.7 80 2 "vw dasher (diesel)"
|
||||||
|
36.4 5 121.0 67.00 2950. 19.9 80 2 "audi 5000s (diesel)"
|
||||||
|
30.0 4 146.0 67.00 3250. 21.8 80 2 "mercedes-benz 240d"
|
||||||
|
44.6 4 91.00 67.00 1850. 13.8 80 3 "honda civic 1500 gl"
|
||||||
|
40.9 4 85.00 ? 1835. 17.3 80 2 "renault lecar deluxe"
|
||||||
|
33.8 4 97.00 67.00 2145. 18.0 80 3 "subaru dl"
|
||||||
|
29.8 4 89.00 62.00 1845. 15.3 80 2 "vokswagen rabbit"
|
||||||
|
32.7 6 168.0 132.0 2910. 11.4 80 3 "datsun 280-zx"
|
||||||
|
23.7 3 70.00 100.0 2420. 12.5 80 3 "mazda rx-7 gs"
|
||||||
|
35.0 4 122.0 88.00 2500. 15.1 80 2 "triumph tr7 coupe"
|
||||||
|
23.6 4 140.0 ? 2905. 14.3 80 1 "ford mustang cobra"
|
||||||
|
32.4 4 107.0 72.00 2290. 17.0 80 3 "honda accord"
|
||||||
|
27.2 4 135.0 84.00 2490. 15.7 81 1 "plymouth reliant"
|
||||||
|
26.6 4 151.0 84.00 2635. 16.4 81 1 "buick skylark"
|
||||||
|
25.8 4 156.0 92.00 2620. 14.4 81 1 "dodge aries wagon (sw)"
|
||||||
|
23.5 6 173.0 110.0 2725. 12.6 81 1 "chevrolet citation"
|
||||||
|
30.0 4 135.0 84.00 2385. 12.9 81 1 "plymouth reliant"
|
||||||
|
39.1 4 79.00 58.00 1755. 16.9 81 3 "toyota starlet"
|
||||||
|
39.0 4 86.00 64.00 1875. 16.4 81 1 "plymouth champ"
|
||||||
|
35.1 4 81.00 60.00 1760. 16.1 81 3 "honda civic 1300"
|
||||||
|
32.3 4 97.00 67.00 2065. 17.8 81 3 "subaru"
|
||||||
|
37.0 4 85.00 65.00 1975. 19.4 81 3 "datsun 210 mpg"
|
||||||
|
37.7 4 89.00 62.00 2050. 17.3 81 3 "toyota tercel"
|
||||||
|
34.1 4 91.00 68.00 1985. 16.0 81 3 "mazda glc 4"
|
||||||
|
34.7 4 105.0 63.00 2215. 14.9 81 1 "plymouth horizon 4"
|
||||||
|
34.4 4 98.00 65.00 2045. 16.2 81 1 "ford escort 4w"
|
||||||
|
29.9 4 98.00 65.00 2380. 20.7 81 1 "ford escort 2h"
|
||||||
|
33.0 4 105.0 74.00 2190. 14.2 81 2 "volkswagen jetta"
|
||||||
|
34.5 4 100.0 ? 2320. 15.8 81 2 "renault 18i"
|
||||||
|
33.7 4 107.0 75.00 2210. 14.4 81 3 "honda prelude"
|
||||||
|
32.4 4 108.0 75.00 2350. 16.8 81 3 "toyota corolla"
|
||||||
|
32.9 4 119.0 100.0 2615. 14.8 81 3 "datsun 200sx"
|
||||||
|
31.6 4 120.0 74.00 2635. 18.3 81 3 "mazda 626"
|
||||||
|
28.1 4 141.0 80.00 3230. 20.4 81 2 "peugeot 505s turbo diesel"
|
||||||
|
30.7 6 145.0 76.00 3160. 19.6 81 2 "volvo diesel"
|
||||||
|
25.4 6 168.0 116.0 2900. 12.6 81 3 "toyota cressida"
|
||||||
|
24.2 6 146.0 120.0 2930. 13.8 81 3 "datsun 810 maxima"
|
||||||
|
22.4 6 231.0 110.0 3415. 15.8 81 1 "buick century"
|
||||||
|
26.6 8 350.0 105.0 3725. 19.0 81 1 "oldsmobile cutlass ls"
|
||||||
|
20.2 6 200.0 88.00 3060. 17.1 81 1 "ford granada gl"
|
||||||
|
17.6 6 225.0 85.00 3465. 16.6 81 1 "chrysler lebaron salon"
|
||||||
|
28.0 4 112.0 88.00 2605. 19.6 82 1 "chevrolet cavalier"
|
||||||
|
27.0 4 112.0 88.00 2640. 18.6 82 1 "chevrolet cavalier wagon"
|
||||||
|
34.0 4 112.0 88.00 2395. 18.0 82 1 "chevrolet cavalier 2-door"
|
||||||
|
31.0 4 112.0 85.00 2575. 16.2 82 1 "pontiac j2000 se hatchback"
|
||||||
|
29.0 4 135.0 84.00 2525. 16.0 82 1 "dodge aries se"
|
||||||
|
27.0 4 151.0 90.00 2735. 18.0 82 1 "pontiac phoenix"
|
||||||
|
24.0 4 140.0 92.00 2865. 16.4 82 1 "ford fairmont futura"
|
||||||
|
23.0 4 151.0 ? 3035. 20.5 82 1 "amc concord dl"
|
||||||
|
36.0 4 105.0 74.00 1980. 15.3 82 2 "volkswagen rabbit l"
|
||||||
|
37.0 4 91.00 68.00 2025. 18.2 82 3 "mazda glc custom l"
|
||||||
|
31.0 4 91.00 68.00 1970. 17.6 82 3 "mazda glc custom"
|
||||||
|
38.0 4 105.0 63.00 2125. 14.7 82 1 "plymouth horizon miser"
|
||||||
|
36.0 4 98.00 70.00 2125. 17.3 82 1 "mercury lynx l"
|
||||||
|
36.0 4 120.0 88.00 2160. 14.5 82 3 "nissan stanza xe"
|
||||||
|
36.0 4 107.0 75.00 2205. 14.5 82 3 "honda accord"
|
||||||
|
34.0 4 108.0 70.00 2245 16.9 82 3 "toyota corolla"
|
||||||
|
38.0 4 91.00 67.00 1965. 15.0 82 3 "honda civic"
|
||||||
|
32.0 4 91.00 67.00 1965. 15.7 82 3 "honda civic (auto)"
|
||||||
|
38.0 4 91.00 67.00 1995. 16.2 82 3 "datsun 310 gx"
|
||||||
|
25.0 6 181.0 110.0 2945. 16.4 82 1 "buick century limited"
|
||||||
|
38.0 6 262.0 85.00 3015. 17.0 82 1 "oldsmobile cutlass ciera (diesel)"
|
||||||
|
26.0 4 156.0 92.00 2585. 14.5 82 1 "chrysler lebaron medallion"
|
||||||
|
22.0 6 232.0 112.0 2835 14.7 82 1 "ford granada l"
|
||||||
|
32.0 4 144.0 96.00 2665. 13.9 82 3 "toyota celica gt"
|
||||||
|
36.0 4 135.0 84.00 2370. 13.0 82 1 "dodge charger 2.2"
|
||||||
|
27.0 4 151.0 90.00 2950. 17.3 82 1 "chevrolet camaro"
|
||||||
|
27.0 4 140.0 86.00 2790. 15.6 82 1 "ford mustang gl"
|
||||||
|
44.0 4 97.00 52.00 2130. 24.6 82 2 "vw pickup"
|
||||||
|
32.0 4 135.0 84.00 2295. 11.6 82 1 "dodge rampage"
|
||||||
|
28.0 4 120.0 79.00 2625. 18.6 82 1 "ford ranger"
|
||||||
|
31.0 4 119.0 82.00 2720. 19.4 82 1 "chevy s-10"
|
||||||
45
data/auto-mpg.names
Normal file
45
data/auto-mpg.names
Normal file
|
|
@ -0,0 +1,45 @@
|
||||||
|
1. Title: Auto-Mpg Data
|
||||||
|
|
||||||
|
2. Sources:
|
||||||
|
(a) Origin: 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.
|
||||||
|
(c) Date: July 7, 1993
|
||||||
|
|
||||||
|
3. Past Usage:
|
||||||
|
- See 2b (above)
|
||||||
|
- Quinlan,R. (1993). Combining Instance-Based and Model-Based Learning.
|
||||||
|
In Proceedings on the Tenth International Conference of Machine
|
||||||
|
Learning, 236-243, University of Massachusetts, Amherst. Morgan
|
||||||
|
Kaufmann.
|
||||||
|
|
||||||
|
4. Relevant 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)
|
||||||
|
|
||||||
|
5. Number of Instances: 398
|
||||||
|
|
||||||
|
6. Number of Attributes: 9 including the class attribute
|
||||||
|
|
||||||
|
7. Attribute Information:
|
||||||
|
|
||||||
|
1. mpg: continuous
|
||||||
|
2. cylinders: multi-valued discrete
|
||||||
|
3. displacement: continuous
|
||||||
|
4. horsepower: continuous
|
||||||
|
5. weight: continuous
|
||||||
|
6. acceleration: continuous
|
||||||
|
7. model year: multi-valued discrete
|
||||||
|
8. origin: multi-valued discrete
|
||||||
|
9. car name: string (unique for each instance)
|
||||||
|
|
||||||
|
8. Missing Attribute Values: horsepower has 6 missing values
|
||||||
|
|
||||||
398
data/clean.csv
Normal file
398
data/clean.csv
Normal file
|
|
@ -0,0 +1,398 @@
|
||||||
|
mpg,cylinders,displacement,horsepower,weight,acceleration,model_year,origin,car_name
|
||||||
|
18.0,8,307.0,130.0,3504.0,12.0,70,1,chevrolet chevelle malibu
|
||||||
|
15.0,8,350.0,165.0,3693.0,11.5,70,1,buick skylark 320
|
||||||
|
18.0,8,318.0,150.0,3436.0,11.0,70,1,plymouth satellite
|
||||||
|
16.0,8,304.0,150.0,3433.0,12.0,70,1,amc rebel sst
|
||||||
|
17.0,8,302.0,140.0,3449.0,10.5,70,1,ford torino
|
||||||
|
15.0,8,429.0,198.0,4341.0,10.0,70,1,ford galaxie 500
|
||||||
|
14.0,8,454.0,220.0,4354.0,9.0,70,1,chevrolet impala
|
||||||
|
14.0,8,440.0,215.0,4312.0,8.5,70,1,plymouth fury iii
|
||||||
|
14.0,8,455.0,225.0,4425.0,10.0,70,1,pontiac catalina
|
||||||
|
15.0,8,390.0,190.0,3850.0,8.5,70,1,amc ambassador dpl
|
||||||
|
15.0,8,383.0,170.0,3563.0,10.0,70,1,dodge challenger se
|
||||||
|
14.0,8,340.0,160.0,3609.0,8.0,70,1,plymouth 'cuda 340
|
||||||
|
15.0,8,400.0,150.0,3761.0,9.5,70,1,chevrolet monte carlo
|
||||||
|
14.0,8,455.0,225.0,3086.0,10.0,70,1,buick estate wagon (sw)
|
||||||
|
24.0,4,113.0,95.0,2372.0,15.0,70,3,toyota corona mark ii
|
||||||
|
22.0,6,198.0,95.0,2833.0,15.5,70,1,plymouth duster
|
||||||
|
18.0,6,199.0,97.0,2774.0,15.5,70,1,amc hornet
|
||||||
|
21.0,6,200.0,85.0,2587.0,16.0,70,1,ford maverick
|
||||||
|
27.0,4,97.0,88.0,2130.0,14.5,70,3,datsun pl510
|
||||||
|
26.0,4,97.0,46.0,1835.0,20.5,70,2,volkswagen 1131 deluxe sedan
|
||||||
|
25.0,4,110.0,87.0,2672.0,17.5,70,2,peugeot 504
|
||||||
|
24.0,4,107.0,90.0,2430.0,14.5,70,2,audi 100 ls
|
||||||
|
25.0,4,104.0,95.0,2375.0,17.5,70,2,saab 99e
|
||||||
|
26.0,4,121.0,113.0,2234.0,12.5,70,2,bmw 2002
|
||||||
|
21.0,6,199.0,90.0,2648.0,15.0,70,1,amc gremlin
|
||||||
|
10.0,8,360.0,215.0,4615.0,14.0,70,1,ford f250
|
||||||
|
10.0,8,307.0,200.0,4376.0,15.0,70,1,chevy c20
|
||||||
|
11.0,8,318.0,210.0,4382.0,13.5,70,1,dodge d200
|
||||||
|
9.0,8,304.0,193.0,4732.0,18.5,70,1,hi 1200d
|
||||||
|
27.0,4,97.0,88.0,2130.0,14.5,71,3,datsun pl510
|
||||||
|
28.0,4,140.0,90.0,2264.0,15.5,71,1,chevrolet vega 2300
|
||||||
|
25.0,4,113.0,95.0,2228.0,14.0,71,3,toyota corona
|
||||||
|
25.0,4,98.0,75.0,2046.0,19.0,71,1,ford pinto
|
||||||
|
19.0,6,232.0,100.0,2634.0,13.0,71,1,amc gremlin
|
||||||
|
16.0,6,225.0,105.0,3439.0,15.5,71,1,plymouth satellite custom
|
||||||
|
17.0,6,250.0,100.0,3329.0,15.5,71,1,chevrolet chevelle malibu
|
||||||
|
19.0,6,250.0,88.0,3302.0,15.5,71,1,ford torino 500
|
||||||
|
18.0,6,232.0,100.0,3288.0,15.5,71,1,amc matador
|
||||||
|
14.0,8,350.0,165.0,4209.0,12.0,71,1,chevrolet impala
|
||||||
|
14.0,8,400.0,175.0,4464.0,11.5,71,1,pontiac catalina brougham
|
||||||
|
14.0,8,351.0,153.0,4154.0,13.5,71,1,ford galaxie 500
|
||||||
|
14.0,8,318.0,150.0,4096.0,13.0,71,1,plymouth fury iii
|
||||||
|
12.0,8,383.0,180.0,4955.0,11.5,71,1,dodge monaco (sw)
|
||||||
|
13.0,8,400.0,170.0,4746.0,12.0,71,1,ford country squire (sw)
|
||||||
|
13.0,8,400.0,175.0,5140.0,12.0,71,1,pontiac safari (sw)
|
||||||
|
18.0,6,258.0,110.0,2962.0,13.5,71,1,amc hornet sportabout (sw)
|
||||||
|
22.0,4,140.0,72.0,2408.0,19.0,71,1,chevrolet vega (sw)
|
||||||
|
19.0,6,250.0,100.0,3282.0,15.0,71,1,pontiac firebird
|
||||||
|
18.0,6,250.0,88.0,3139.0,14.5,71,1,ford mustang
|
||||||
|
23.0,4,122.0,86.0,2220.0,14.0,71,1,mercury capri 2000
|
||||||
|
28.0,4,116.0,90.0,2123.0,14.0,71,2,opel 1900
|
||||||
|
30.0,4,79.0,70.0,2074.0,19.5,71,2,peugeot 304
|
||||||
|
30.0,4,88.0,76.0,2065.0,14.5,71,2,fiat 124b
|
||||||
|
31.0,4,71.0,65.0,1773.0,19.0,71,3,toyota corolla 1200
|
||||||
|
35.0,4,72.0,69.0,1613.0,18.0,71,3,datsun 1200
|
||||||
|
27.0,4,97.0,60.0,1834.0,19.0,71,2,volkswagen model 111
|
||||||
|
26.0,4,91.0,70.0,1955.0,20.5,71,1,plymouth cricket
|
||||||
|
24.0,4,113.0,95.0,2278.0,15.5,72,3,toyota corona hardtop
|
||||||
|
25.0,4,97.5,80.0,2126.0,17.0,72,1,dodge colt hardtop
|
||||||
|
23.0,4,97.0,54.0,2254.0,23.5,72,2,volkswagen type 3
|
||||||
|
20.0,4,140.0,90.0,2408.0,19.5,72,1,chevrolet vega
|
||||||
|
21.0,4,122.0,86.0,2226.0,16.5,72,1,ford pinto runabout
|
||||||
|
13.0,8,350.0,165.0,4274.0,12.0,72,1,chevrolet impala
|
||||||
|
14.0,8,400.0,175.0,4385.0,12.0,72,1,pontiac catalina
|
||||||
|
15.0,8,318.0,150.0,4135.0,13.5,72,1,plymouth fury iii
|
||||||
|
14.0,8,351.0,153.0,4129.0,13.0,72,1,ford galaxie 500
|
||||||
|
17.0,8,304.0,150.0,3672.0,11.5,72,1,amc ambassador sst
|
||||||
|
11.0,8,429.0,208.0,4633.0,11.0,72,1,mercury marquis
|
||||||
|
13.0,8,350.0,155.0,4502.0,13.5,72,1,buick lesabre custom
|
||||||
|
12.0,8,350.0,160.0,4456.0,13.5,72,1,oldsmobile delta 88 royale
|
||||||
|
13.0,8,400.0,190.0,4422.0,12.5,72,1,chrysler newport royal
|
||||||
|
19.0,3,70.0,97.0,2330.0,13.5,72,3,mazda rx2 coupe
|
||||||
|
15.0,8,304.0,150.0,3892.0,12.5,72,1,amc matador (sw)
|
||||||
|
13.0,8,307.0,130.0,4098.0,14.0,72,1,chevrolet chevelle concours (sw)
|
||||||
|
13.0,8,302.0,140.0,4294.0,16.0,72,1,ford gran torino (sw)
|
||||||
|
14.0,8,318.0,150.0,4077.0,14.0,72,1,plymouth satellite custom (sw)
|
||||||
|
18.0,4,121.0,112.0,2933.0,14.5,72,2,volvo 145e (sw)
|
||||||
|
22.0,4,121.0,76.0,2511.0,18.0,72,2,volkswagen 411 (sw)
|
||||||
|
21.0,4,120.0,87.0,2979.0,19.5,72,2,peugeot 504 (sw)
|
||||||
|
26.0,4,96.0,69.0,2189.0,18.0,72,2,renault 12 (sw)
|
||||||
|
22.0,4,122.0,86.0,2395.0,16.0,72,1,ford pinto (sw)
|
||||||
|
28.0,4,97.0,92.0,2288.0,17.0,72,3,datsun 510 (sw)
|
||||||
|
23.0,4,120.0,97.0,2506.0,14.5,72,3,toyouta corona mark ii (sw)
|
||||||
|
28.0,4,98.0,80.0,2164.0,15.0,72,1,dodge colt (sw)
|
||||||
|
27.0,4,97.0,88.0,2100.0,16.5,72,3,toyota corolla 1600 (sw)
|
||||||
|
13.0,8,350.0,175.0,4100.0,13.0,73,1,buick century 350
|
||||||
|
14.0,8,304.0,150.0,3672.0,11.5,73,1,amc matador
|
||||||
|
13.0,8,350.0,145.0,3988.0,13.0,73,1,chevrolet malibu
|
||||||
|
14.0,8,302.0,137.0,4042.0,14.5,73,1,ford gran torino
|
||||||
|
15.0,8,318.0,150.0,3777.0,12.5,73,1,dodge coronet custom
|
||||||
|
12.0,8,429.0,198.0,4952.0,11.5,73,1,mercury marquis brougham
|
||||||
|
13.0,8,400.0,150.0,4464.0,12.0,73,1,chevrolet caprice classic
|
||||||
|
13.0,8,351.0,158.0,4363.0,13.0,73,1,ford ltd
|
||||||
|
14.0,8,318.0,150.0,4237.0,14.5,73,1,plymouth fury gran sedan
|
||||||
|
13.0,8,440.0,215.0,4735.0,11.0,73,1,chrysler new yorker brougham
|
||||||
|
12.0,8,455.0,225.0,4951.0,11.0,73,1,buick electra 225 custom
|
||||||
|
13.0,8,360.0,175.0,3821.0,11.0,73,1,amc ambassador brougham
|
||||||
|
18.0,6,225.0,105.0,3121.0,16.5,73,1,plymouth valiant
|
||||||
|
16.0,6,250.0,100.0,3278.0,18.0,73,1,chevrolet nova custom
|
||||||
|
18.0,6,232.0,100.0,2945.0,16.0,73,1,amc hornet
|
||||||
|
18.0,6,250.0,88.0,3021.0,16.5,73,1,ford maverick
|
||||||
|
23.0,6,198.0,95.0,2904.0,16.0,73,1,plymouth duster
|
||||||
|
26.0,4,97.0,46.0,1950.0,21.0,73,2,volkswagen super beetle
|
||||||
|
11.0,8,400.0,150.0,4997.0,14.0,73,1,chevrolet impala
|
||||||
|
12.0,8,400.0,167.0,4906.0,12.5,73,1,ford country
|
||||||
|
13.0,8,360.0,170.0,4654.0,13.0,73,1,plymouth custom suburb
|
||||||
|
12.0,8,350.0,180.0,4499.0,12.5,73,1,oldsmobile vista cruiser
|
||||||
|
18.0,6,232.0,100.0,2789.0,15.0,73,1,amc gremlin
|
||||||
|
20.0,4,97.0,88.0,2279.0,19.0,73,3,toyota carina
|
||||||
|
21.0,4,140.0,72.0,2401.0,19.5,73,1,chevrolet vega
|
||||||
|
22.0,4,108.0,94.0,2379.0,16.5,73,3,datsun 610
|
||||||
|
18.0,3,70.0,90.0,2124.0,13.5,73,3,maxda rx3
|
||||||
|
19.0,4,122.0,85.0,2310.0,18.5,73,1,ford pinto
|
||||||
|
21.0,6,155.0,107.0,2472.0,14.0,73,1,mercury capri v6
|
||||||
|
26.0,4,98.0,90.0,2265.0,15.5,73,2,fiat 124 sport coupe
|
||||||
|
15.0,8,350.0,145.0,4082.0,13.0,73,1,chevrolet monte carlo s
|
||||||
|
16.0,8,400.0,230.0,4278.0,9.5,73,1,pontiac grand prix
|
||||||
|
29.0,4,68.0,49.0,1867.0,19.5,73,2,fiat 128
|
||||||
|
24.0,4,116.0,75.0,2158.0,15.5,73,2,opel manta
|
||||||
|
20.0,4,114.0,91.0,2582.0,14.0,73,2,audi 100ls
|
||||||
|
19.0,4,121.0,112.0,2868.0,15.5,73,2,volvo 144ea
|
||||||
|
15.0,8,318.0,150.0,3399.0,11.0,73,1,dodge dart custom
|
||||||
|
24.0,4,121.0,110.0,2660.0,14.0,73,2,saab 99le
|
||||||
|
20.0,6,156.0,122.0,2807.0,13.5,73,3,toyota mark ii
|
||||||
|
11.0,8,350.0,180.0,3664.0,11.0,73,1,oldsmobile omega
|
||||||
|
20.0,6,198.0,95.0,3102.0,16.5,74,1,plymouth duster
|
||||||
|
21.0,6,200.0,85.0,2875.0,17.0,74,1,ford maverick
|
||||||
|
19.0,6,232.0,100.0,2901.0,16.0,74,1,amc hornet
|
||||||
|
15.0,6,250.0,100.0,3336.0,17.0,74,1,chevrolet nova
|
||||||
|
31.0,4,79.0,67.0,1950.0,19.0,74,3,datsun b210
|
||||||
|
26.0,4,122.0,80.0,2451.0,16.5,74,1,ford pinto
|
||||||
|
32.0,4,71.0,65.0,1836.0,21.0,74,3,toyota corolla 1200
|
||||||
|
25.0,4,140.0,75.0,2542.0,17.0,74,1,chevrolet vega
|
||||||
|
16.0,6,250.0,100.0,3781.0,17.0,74,1,chevrolet chevelle malibu classic
|
||||||
|
16.0,6,258.0,110.0,3632.0,18.0,74,1,amc matador
|
||||||
|
18.0,6,225.0,105.0,3613.0,16.5,74,1,plymouth satellite sebring
|
||||||
|
16.0,8,302.0,140.0,4141.0,14.0,74,1,ford gran torino
|
||||||
|
13.0,8,350.0,150.0,4699.0,14.5,74,1,buick century luxus (sw)
|
||||||
|
14.0,8,318.0,150.0,4457.0,13.5,74,1,dodge coronet custom (sw)
|
||||||
|
14.0,8,302.0,140.0,4638.0,16.0,74,1,ford gran torino (sw)
|
||||||
|
14.0,8,304.0,150.0,4257.0,15.5,74,1,amc matador (sw)
|
||||||
|
29.0,4,98.0,83.0,2219.0,16.5,74,2,audi fox
|
||||||
|
26.0,4,79.0,67.0,1963.0,15.5,74,2,volkswagen dasher
|
||||||
|
26.0,4,97.0,78.0,2300.0,14.5,74,2,opel manta
|
||||||
|
31.0,4,76.0,52.0,1649.0,16.5,74,3,toyota corona
|
||||||
|
32.0,4,83.0,61.0,2003.0,19.0,74,3,datsun 710
|
||||||
|
28.0,4,90.0,75.0,2125.0,14.5,74,1,dodge colt
|
||||||
|
24.0,4,90.0,75.0,2108.0,15.5,74,2,fiat 128
|
||||||
|
26.0,4,116.0,75.0,2246.0,14.0,74,2,fiat 124 tc
|
||||||
|
24.0,4,120.0,97.0,2489.0,15.0,74,3,honda civic
|
||||||
|
26.0,4,108.0,93.0,2391.0,15.5,74,3,subaru
|
||||||
|
31.0,4,79.0,67.0,2000.0,16.0,74,2,fiat x1.9
|
||||||
|
19.0,6,225.0,95.0,3264.0,16.0,75,1,plymouth valiant custom
|
||||||
|
18.0,6,250.0,105.0,3459.0,16.0,75,1,chevrolet nova
|
||||||
|
15.0,6,250.0,72.0,3432.0,21.0,75,1,mercury monarch
|
||||||
|
15.0,6,250.0,72.0,3158.0,19.5,75,1,ford maverick
|
||||||
|
16.0,8,400.0,170.0,4668.0,11.5,75,1,pontiac catalina
|
||||||
|
15.0,8,350.0,145.0,4440.0,14.0,75,1,chevrolet bel air
|
||||||
|
16.0,8,318.0,150.0,4498.0,14.5,75,1,plymouth grand fury
|
||||||
|
14.0,8,351.0,148.0,4657.0,13.5,75,1,ford ltd
|
||||||
|
17.0,6,231.0,110.0,3907.0,21.0,75,1,buick century
|
||||||
|
16.0,6,250.0,105.0,3897.0,18.5,75,1,chevroelt chevelle malibu
|
||||||
|
15.0,6,258.0,110.0,3730.0,19.0,75,1,amc matador
|
||||||
|
18.0,6,225.0,95.0,3785.0,19.0,75,1,plymouth fury
|
||||||
|
21.0,6,231.0,110.0,3039.0,15.0,75,1,buick skyhawk
|
||||||
|
20.0,8,262.0,110.0,3221.0,13.5,75,1,chevrolet monza 2+2
|
||||||
|
13.0,8,302.0,129.0,3169.0,12.0,75,1,ford mustang ii
|
||||||
|
29.0,4,97.0,75.0,2171.0,16.0,75,3,toyota corolla
|
||||||
|
23.0,4,140.0,83.0,2639.0,17.0,75,1,ford pinto
|
||||||
|
20.0,6,232.0,100.0,2914.0,16.0,75,1,amc gremlin
|
||||||
|
23.0,4,140.0,78.0,2592.0,18.5,75,1,pontiac astro
|
||||||
|
24.0,4,134.0,96.0,2702.0,13.5,75,3,toyota corona
|
||||||
|
25.0,4,90.0,71.0,2223.0,16.5,75,2,volkswagen dasher
|
||||||
|
24.0,4,119.0,97.0,2545.0,17.0,75,3,datsun 710
|
||||||
|
18.0,6,171.0,97.0,2984.0,14.5,75,1,ford pinto
|
||||||
|
29.0,4,90.0,70.0,1937.0,14.0,75,2,volkswagen rabbit
|
||||||
|
19.0,6,232.0,90.0,3211.0,17.0,75,1,amc pacer
|
||||||
|
23.0,4,115.0,95.0,2694.0,15.0,75,2,audi 100ls
|
||||||
|
23.0,4,120.0,88.0,2957.0,17.0,75,2,peugeot 504
|
||||||
|
22.0,4,121.0,98.0,2945.0,14.5,75,2,volvo 244dl
|
||||||
|
25.0,4,121.0,115.0,2671.0,13.5,75,2,saab 99le
|
||||||
|
33.0,4,91.0,53.0,1795.0,17.5,75,3,honda civic cvcc
|
||||||
|
28.0,4,107.0,86.0,2464.0,15.5,76,2,fiat 131
|
||||||
|
25.0,4,116.0,81.0,2220.0,16.9,76,2,opel 1900
|
||||||
|
25.0,4,140.0,92.0,2572.0,14.9,76,1,capri ii
|
||||||
|
26.0,4,98.0,79.0,2255.0,17.7,76,1,dodge colt
|
||||||
|
27.0,4,101.0,83.0,2202.0,15.3,76,2,renault 12tl
|
||||||
|
17.5,8,305.0,140.0,4215.0,13.0,76,1,chevrolet chevelle malibu classic
|
||||||
|
16.0,8,318.0,150.0,4190.0,13.0,76,1,dodge coronet brougham
|
||||||
|
15.5,8,304.0,120.0,3962.0,13.9,76,1,amc matador
|
||||||
|
14.5,8,351.0,152.0,4215.0,12.8,76,1,ford gran torino
|
||||||
|
22.0,6,225.0,100.0,3233.0,15.4,76,1,plymouth valiant
|
||||||
|
22.0,6,250.0,105.0,3353.0,14.5,76,1,chevrolet nova
|
||||||
|
24.0,6,200.0,81.0,3012.0,17.6,76,1,ford maverick
|
||||||
|
22.5,6,232.0,90.0,3085.0,17.6,76,1,amc hornet
|
||||||
|
29.0,4,85.0,52.0,2035.0,22.2,76,1,chevrolet chevette
|
||||||
|
24.5,4,98.0,60.0,2164.0,22.1,76,1,chevrolet woody
|
||||||
|
29.0,4,90.0,70.0,1937.0,14.2,76,2,vw rabbit
|
||||||
|
33.0,4,91.0,53.0,1795.0,17.4,76,3,honda civic
|
||||||
|
20.0,6,225.0,100.0,3651.0,17.7,76,1,dodge aspen se
|
||||||
|
18.0,6,250.0,78.0,3574.0,21.0,76,1,ford granada ghia
|
||||||
|
18.5,6,250.0,110.0,3645.0,16.2,76,1,pontiac ventura sj
|
||||||
|
17.5,6,258.0,95.0,3193.0,17.8,76,1,amc pacer d/l
|
||||||
|
29.5,4,97.0,71.0,1825.0,12.2,76,2,volkswagen rabbit
|
||||||
|
32.0,4,85.0,70.0,1990.0,17.0,76,3,datsun b-210
|
||||||
|
28.0,4,97.0,75.0,2155.0,16.4,76,3,toyota corolla
|
||||||
|
26.5,4,140.0,72.0,2565.0,13.6,76,1,ford pinto
|
||||||
|
20.0,4,130.0,102.0,3150.0,15.7,76,2,volvo 245
|
||||||
|
13.0,8,318.0,150.0,3940.0,13.2,76,1,plymouth volare premier v8
|
||||||
|
19.0,4,120.0,88.0,3270.0,21.9,76,2,peugeot 504
|
||||||
|
19.0,6,156.0,108.0,2930.0,15.5,76,3,toyota mark ii
|
||||||
|
16.5,6,168.0,120.0,3820.0,16.7,76,2,mercedes-benz 280s
|
||||||
|
16.5,8,350.0,180.0,4380.0,12.1,76,1,cadillac seville
|
||||||
|
13.0,8,350.0,145.0,4055.0,12.0,76,1,chevy c10
|
||||||
|
13.0,8,302.0,130.0,3870.0,15.0,76,1,ford f108
|
||||||
|
13.0,8,318.0,150.0,3755.0,14.0,76,1,dodge d100
|
||||||
|
31.5,4,98.0,68.0,2045.0,18.5,77,3,honda accord cvcc
|
||||||
|
30.0,4,111.0,80.0,2155.0,14.8,77,1,buick opel isuzu deluxe
|
||||||
|
36.0,4,79.0,58.0,1825.0,18.6,77,2,renault 5 gtl
|
||||||
|
25.5,4,122.0,96.0,2300.0,15.5,77,1,plymouth arrow gs
|
||||||
|
33.5,4,85.0,70.0,1945.0,16.8,77,3,datsun f-10 hatchback
|
||||||
|
17.5,8,305.0,145.0,3880.0,12.5,77,1,chevrolet caprice classic
|
||||||
|
17.0,8,260.0,110.0,4060.0,19.0,77,1,oldsmobile cutlass supreme
|
||||||
|
15.5,8,318.0,145.0,4140.0,13.7,77,1,dodge monaco brougham
|
||||||
|
15.0,8,302.0,130.0,4295.0,14.9,77,1,mercury cougar brougham
|
||||||
|
17.5,6,250.0,110.0,3520.0,16.4,77,1,chevrolet concours
|
||||||
|
20.5,6,231.0,105.0,3425.0,16.9,77,1,buick skylark
|
||||||
|
19.0,6,225.0,100.0,3630.0,17.7,77,1,plymouth volare custom
|
||||||
|
18.5,6,250.0,98.0,3525.0,19.0,77,1,ford granada
|
||||||
|
16.0,8,400.0,180.0,4220.0,11.1,77,1,pontiac grand prix lj
|
||||||
|
15.5,8,350.0,170.0,4165.0,11.4,77,1,chevrolet monte carlo landau
|
||||||
|
15.5,8,400.0,190.0,4325.0,12.2,77,1,chrysler cordoba
|
||||||
|
16.0,8,351.0,149.0,4335.0,14.5,77,1,ford thunderbird
|
||||||
|
29.0,4,97.0,78.0,1940.0,14.5,77,2,volkswagen rabbit custom
|
||||||
|
24.5,4,151.0,88.0,2740.0,16.0,77,1,pontiac sunbird coupe
|
||||||
|
26.0,4,97.0,75.0,2265.0,18.2,77,3,toyota corolla liftback
|
||||||
|
25.5,4,140.0,89.0,2755.0,15.8,77,1,ford mustang ii 2+2
|
||||||
|
30.5,4,98.0,63.0,2051.0,17.0,77,1,chevrolet chevette
|
||||||
|
33.5,4,98.0,83.0,2075.0,15.9,77,1,dodge colt m/m
|
||||||
|
30.0,4,97.0,67.0,1985.0,16.4,77,3,subaru dl
|
||||||
|
30.5,4,97.0,78.0,2190.0,14.1,77,2,volkswagen dasher
|
||||||
|
22.0,6,146.0,97.0,2815.0,14.5,77,3,datsun 810
|
||||||
|
21.5,4,121.0,110.0,2600.0,12.8,77,2,bmw 320i
|
||||||
|
21.5,3,80.0,110.0,2720.0,13.5,77,3,mazda rx-4
|
||||||
|
43.1,4,90.0,48.0,1985.0,21.5,78,2,volkswagen rabbit custom diesel
|
||||||
|
36.1,4,98.0,66.0,1800.0,14.4,78,1,ford fiesta
|
||||||
|
32.8,4,78.0,52.0,1985.0,19.4,78,3,mazda glc deluxe
|
||||||
|
39.4,4,85.0,70.0,2070.0,18.6,78,3,datsun b210 gx
|
||||||
|
36.1,4,91.0,60.0,1800.0,16.4,78,3,honda civic cvcc
|
||||||
|
19.9,8,260.0,110.0,3365.0,15.5,78,1,oldsmobile cutlass salon brougham
|
||||||
|
19.4,8,318.0,140.0,3735.0,13.2,78,1,dodge diplomat
|
||||||
|
20.2,8,302.0,139.0,3570.0,12.8,78,1,mercury monarch ghia
|
||||||
|
19.2,6,231.0,105.0,3535.0,19.2,78,1,pontiac phoenix lj
|
||||||
|
20.5,6,200.0,95.0,3155.0,18.2,78,1,chevrolet malibu
|
||||||
|
20.2,6,200.0,85.0,2965.0,15.8,78,1,ford fairmont (auto)
|
||||||
|
25.1,4,140.0,88.0,2720.0,15.4,78,1,ford fairmont (man)
|
||||||
|
20.5,6,225.0,100.0,3430.0,17.2,78,1,plymouth volare
|
||||||
|
19.4,6,232.0,90.0,3210.0,17.2,78,1,amc concord
|
||||||
|
20.6,6,231.0,105.0,3380.0,15.8,78,1,buick century special
|
||||||
|
20.8,6,200.0,85.0,3070.0,16.7,78,1,mercury zephyr
|
||||||
|
18.6,6,225.0,110.0,3620.0,18.7,78,1,dodge aspen
|
||||||
|
18.1,6,258.0,120.0,3410.0,15.1,78,1,amc concord d/l
|
||||||
|
19.2,8,305.0,145.0,3425.0,13.2,78,1,chevrolet monte carlo landau
|
||||||
|
17.7,6,231.0,165.0,3445.0,13.4,78,1,buick regal sport coupe (turbo)
|
||||||
|
18.1,8,302.0,139.0,3205.0,11.2,78,1,ford futura
|
||||||
|
17.5,8,318.0,140.0,4080.0,13.7,78,1,dodge magnum xe
|
||||||
|
30.0,4,98.0,68.0,2155.0,16.5,78,1,chevrolet chevette
|
||||||
|
27.5,4,134.0,95.0,2560.0,14.2,78,3,toyota corona
|
||||||
|
27.2,4,119.0,97.0,2300.0,14.7,78,3,datsun 510
|
||||||
|
30.9,4,105.0,75.0,2230.0,14.5,78,1,dodge omni
|
||||||
|
21.1,4,134.0,95.0,2515.0,14.8,78,3,toyota celica gt liftback
|
||||||
|
23.2,4,156.0,105.0,2745.0,16.7,78,1,plymouth sapporo
|
||||||
|
23.8,4,151.0,85.0,2855.0,17.6,78,1,oldsmobile starfire sx
|
||||||
|
23.9,4,119.0,97.0,2405.0,14.9,78,3,datsun 200-sx
|
||||||
|
20.3,5,131.0,103.0,2830.0,15.9,78,2,audi 5000
|
||||||
|
17.0,6,163.0,125.0,3140.0,13.6,78,2,volvo 264gl
|
||||||
|
21.6,4,121.0,115.0,2795.0,15.7,78,2,saab 99gle
|
||||||
|
16.2,6,163.0,133.0,3410.0,15.8,78,2,peugeot 604sl
|
||||||
|
31.5,4,89.0,71.0,1990.0,14.9,78,2,volkswagen scirocco
|
||||||
|
29.5,4,98.0,68.0,2135.0,16.6,78,3,honda accord lx
|
||||||
|
21.5,6,231.0,115.0,3245.0,15.4,79,1,pontiac lemans v6
|
||||||
|
19.8,6,200.0,85.0,2990.0,18.2,79,1,mercury zephyr 6
|
||||||
|
22.3,4,140.0,88.0,2890.0,17.3,79,1,ford fairmont 4
|
||||||
|
20.2,6,232.0,90.0,3265.0,18.2,79,1,amc concord dl 6
|
||||||
|
20.6,6,225.0,110.0,3360.0,16.6,79,1,dodge aspen 6
|
||||||
|
17.0,8,305.0,130.0,3840.0,15.4,79,1,chevrolet caprice classic
|
||||||
|
17.6,8,302.0,129.0,3725.0,13.4,79,1,ford ltd landau
|
||||||
|
16.5,8,351.0,138.0,3955.0,13.2,79,1,mercury grand marquis
|
||||||
|
18.2,8,318.0,135.0,3830.0,15.2,79,1,dodge st. regis
|
||||||
|
16.9,8,350.0,155.0,4360.0,14.9,79,1,buick estate wagon (sw)
|
||||||
|
15.5,8,351.0,142.0,4054.0,14.3,79,1,ford country squire (sw)
|
||||||
|
19.2,8,267.0,125.0,3605.0,15.0,79,1,chevrolet malibu classic (sw)
|
||||||
|
18.5,8,360.0,150.0,3940.0,13.0,79,1,chrysler lebaron town @ country (sw)
|
||||||
|
31.9,4,89.0,71.0,1925.0,14.0,79,2,vw rabbit custom
|
||||||
|
34.1,4,86.0,65.0,1975.0,15.2,79,3,maxda glc deluxe
|
||||||
|
35.7,4,98.0,80.0,1915.0,14.4,79,1,dodge colt hatchback custom
|
||||||
|
27.4,4,121.0,80.0,2670.0,15.0,79,1,amc spirit dl
|
||||||
|
25.4,5,183.0,77.0,3530.0,20.1,79,2,mercedes benz 300d
|
||||||
|
23.0,8,350.0,125.0,3900.0,17.4,79,1,cadillac eldorado
|
||||||
|
27.2,4,141.0,71.0,3190.0,24.8,79,2,peugeot 504
|
||||||
|
23.9,8,260.0,90.0,3420.0,22.2,79,1,oldsmobile cutlass salon brougham
|
||||||
|
34.2,4,105.0,70.0,2200.0,13.2,79,1,plymouth horizon
|
||||||
|
34.5,4,105.0,70.0,2150.0,14.9,79,1,plymouth horizon tc3
|
||||||
|
31.8,4,85.0,65.0,2020.0,19.2,79,3,datsun 210
|
||||||
|
37.3,4,91.0,69.0,2130.0,14.7,79,2,fiat strada custom
|
||||||
|
28.4,4,151.0,90.0,2670.0,16.0,79,1,buick skylark limited
|
||||||
|
28.8,6,173.0,115.0,2595.0,11.3,79,1,chevrolet citation
|
||||||
|
26.8,6,173.0,115.0,2700.0,12.9,79,1,oldsmobile omega brougham
|
||||||
|
33.5,4,151.0,90.0,2556.0,13.2,79,1,pontiac phoenix
|
||||||
|
41.5,4,98.0,76.0,2144.0,14.7,80,2,vw rabbit
|
||||||
|
38.1,4,89.0,60.0,1968.0,18.8,80,3,toyota corolla tercel
|
||||||
|
32.1,4,98.0,70.0,2120.0,15.5,80,1,chevrolet chevette
|
||||||
|
37.2,4,86.0,65.0,2019.0,16.4,80,3,datsun 310
|
||||||
|
28.0,4,151.0,90.0,2678.0,16.5,80,1,chevrolet citation
|
||||||
|
26.4,4,140.0,88.0,2870.0,18.1,80,1,ford fairmont
|
||||||
|
24.3,4,151.0,90.0,3003.0,20.1,80,1,amc concord
|
||||||
|
19.1,6,225.0,90.0,3381.0,18.7,80,1,dodge aspen
|
||||||
|
34.3,4,97.0,78.0,2188.0,15.8,80,2,audi 4000
|
||||||
|
29.8,4,134.0,90.0,2711.0,15.5,80,3,toyota corona liftback
|
||||||
|
31.3,4,120.0,75.0,2542.0,17.5,80,3,mazda 626
|
||||||
|
37.0,4,119.0,92.0,2434.0,15.0,80,3,datsun 510 hatchback
|
||||||
|
32.2,4,108.0,75.0,2265.0,15.2,80,3,toyota corolla
|
||||||
|
46.6,4,86.0,65.0,2110.0,17.9,80,3,mazda glc
|
||||||
|
27.9,4,156.0,105.0,2800.0,14.4,80,1,dodge colt
|
||||||
|
40.8,4,85.0,65.0,2110.0,19.2,80,3,datsun 210
|
||||||
|
44.3,4,90.0,48.0,2085.0,21.7,80,2,vw rabbit c (diesel)
|
||||||
|
43.4,4,90.0,48.0,2335.0,23.7,80,2,vw dasher (diesel)
|
||||||
|
36.4,5,121.0,67.0,2950.0,19.9,80,2,audi 5000s (diesel)
|
||||||
|
30.0,4,146.0,67.0,3250.0,21.8,80,2,mercedes-benz 240d
|
||||||
|
44.6,4,91.0,67.0,1850.0,13.8,80,3,honda civic 1500 gl
|
||||||
|
40.9,4,85.0,53.5,1835.0,17.3,80,2,renault lecar deluxe
|
||||||
|
33.8,4,97.0,67.0,2145.0,18.0,80,3,subaru dl
|
||||||
|
29.8,4,89.0,62.0,1845.0,15.3,80,2,vokswagen rabbit
|
||||||
|
32.7,6,168.0,132.0,2910.0,11.4,80,3,datsun 280-zx
|
||||||
|
23.7,3,70.0,100.0,2420.0,12.5,80,3,mazda rx-7 gs
|
||||||
|
35.0,4,122.0,88.0,2500.0,15.1,80,2,triumph tr7 coupe
|
||||||
|
32.4,4,107.0,72.0,2290.0,17.0,80,3,honda accord
|
||||||
|
27.2,4,135.0,84.0,2490.0,15.7,81,1,plymouth reliant
|
||||||
|
26.6,4,151.0,84.0,2635.0,16.4,81,1,buick skylark
|
||||||
|
25.8,4,156.0,92.0,2620.0,14.4,81,1,dodge aries wagon (sw)
|
||||||
|
23.5,6,173.0,110.0,2725.0,12.6,81,1,chevrolet citation
|
||||||
|
30.0,4,135.0,84.0,2385.0,12.9,81,1,plymouth reliant
|
||||||
|
39.1,4,79.0,58.0,1755.0,16.9,81,3,toyota starlet
|
||||||
|
39.0,4,86.0,64.0,1875.0,16.4,81,1,plymouth champ
|
||||||
|
35.1,4,81.0,60.0,1760.0,16.1,81,3,honda civic 1300
|
||||||
|
32.3,4,97.0,67.0,2065.0,17.8,81,3,subaru
|
||||||
|
37.0,4,85.0,65.0,1975.0,19.4,81,3,datsun 210 mpg
|
||||||
|
37.7,4,89.0,62.0,2050.0,17.3,81,3,toyota tercel
|
||||||
|
34.1,4,91.0,68.0,1985.0,16.0,81,3,mazda glc 4
|
||||||
|
34.7,4,105.0,63.0,2215.0,14.9,81,1,plymouth horizon 4
|
||||||
|
34.4,4,98.0,65.0,2045.0,16.2,81,1,ford escort 4w
|
||||||
|
29.9,4,98.0,65.0,2380.0,20.7,81,1,ford escort 2h
|
||||||
|
33.0,4,105.0,74.0,2190.0,14.2,81,2,volkswagen jetta
|
||||||
|
34.5,4,100.0,81.5,2320.0,15.8,81,2,renault 18i
|
||||||
|
33.7,4,107.0,75.0,2210.0,14.4,81,3,honda prelude
|
||||||
|
32.4,4,108.0,75.0,2350.0,16.8,81,3,toyota corolla
|
||||||
|
32.9,4,119.0,100.0,2615.0,14.8,81,3,datsun 200sx
|
||||||
|
31.6,4,120.0,74.0,2635.0,18.3,81,3,mazda 626
|
||||||
|
28.1,4,141.0,80.0,3230.0,20.4,81,2,peugeot 505s turbo diesel
|
||||||
|
30.7,6,145.0,76.0,3160.0,19.6,81,2,volvo diesel
|
||||||
|
25.4,6,168.0,116.0,2900.0,12.6,81,3,toyota cressida
|
||||||
|
24.2,6,146.0,120.0,2930.0,13.8,81,3,datsun 810 maxima
|
||||||
|
22.4,6,231.0,110.0,3415.0,15.8,81,1,buick century
|
||||||
|
26.6,8,350.0,105.0,3725.0,19.0,81,1,oldsmobile cutlass ls
|
||||||
|
20.2,6,200.0,88.0,3060.0,17.1,81,1,ford granada gl
|
||||||
|
17.6,6,225.0,85.0,3465.0,16.6,81,1,chrysler lebaron salon
|
||||||
|
28.0,4,112.0,88.0,2605.0,19.6,82,1,chevrolet cavalier
|
||||||
|
27.0,4,112.0,88.0,2640.0,18.6,82,1,chevrolet cavalier wagon
|
||||||
|
34.0,4,112.0,88.0,2395.0,18.0,82,1,chevrolet cavalier 2-door
|
||||||
|
31.0,4,112.0,85.0,2575.0,16.2,82,1,pontiac j2000 se hatchback
|
||||||
|
29.0,4,135.0,84.0,2525.0,16.0,82,1,dodge aries se
|
||||||
|
27.0,4,151.0,90.0,2735.0,18.0,82,1,pontiac phoenix
|
||||||
|
24.0,4,140.0,92.0,2865.0,16.4,82,1,ford fairmont futura
|
||||||
|
23.0,4,151.0,90.0,3035.0,20.5,82,1,amc concord dl
|
||||||
|
36.0,4,105.0,74.0,1980.0,15.3,82,2,volkswagen rabbit l
|
||||||
|
37.0,4,91.0,68.0,2025.0,18.2,82,3,mazda glc custom l
|
||||||
|
31.0,4,91.0,68.0,1970.0,17.6,82,3,mazda glc custom
|
||||||
|
38.0,4,105.0,63.0,2125.0,14.7,82,1,plymouth horizon miser
|
||||||
|
36.0,4,98.0,70.0,2125.0,17.3,82,1,mercury lynx l
|
||||||
|
36.0,4,120.0,88.0,2160.0,14.5,82,3,nissan stanza xe
|
||||||
|
36.0,4,107.0,75.0,2205.0,14.5,82,3,honda accord
|
||||||
|
34.0,4,108.0,70.0,2245.0,16.9,82,3,toyota corolla
|
||||||
|
38.0,4,91.0,67.0,1965.0,15.0,82,3,honda civic
|
||||||
|
32.0,4,91.0,67.0,1965.0,15.7,82,3,honda civic (auto)
|
||||||
|
38.0,4,91.0,67.0,1995.0,16.2,82,3,datsun 310 gx
|
||||||
|
25.0,6,181.0,110.0,2945.0,16.4,82,1,buick century limited
|
||||||
|
38.0,6,262.0,85.0,3015.0,17.0,82,1,oldsmobile cutlass ciera (diesel)
|
||||||
|
26.0,4,156.0,92.0,2585.0,14.5,82,1,chrysler lebaron medallion
|
||||||
|
22.0,6,232.0,112.0,2835.0,14.7,82,1,ford granada l
|
||||||
|
32.0,4,144.0,96.0,2665.0,13.9,82,3,toyota celica gt
|
||||||
|
36.0,4,135.0,84.0,2370.0,13.0,82,1,dodge charger 2.2
|
||||||
|
27.0,4,151.0,90.0,2950.0,17.3,82,1,chevrolet camaro
|
||||||
|
27.0,4,140.0,86.0,2790.0,15.6,82,1,ford mustang gl
|
||||||
|
44.0,4,97.0,52.0,2130.0,24.6,82,2,vw pickup
|
||||||
|
32.0,4,135.0,84.0,2295.0,11.6,82,1,dodge rampage
|
||||||
|
28.0,4,120.0,79.0,2625.0,18.6,82,1,ford ranger
|
||||||
|
31.0,4,119.0,82.0,2720.0,19.4,82,1,chevy s-10
|
||||||
|
398
data/y.csv
Normal file
398
data/y.csv
Normal file
|
|
@ -0,0 +1,398 @@
|
||||||
|
mpg
|
||||||
|
18.0
|
||||||
|
15.0
|
||||||
|
18.0
|
||||||
|
16.0
|
||||||
|
17.0
|
||||||
|
15.0
|
||||||
|
14.0
|
||||||
|
14.0
|
||||||
|
14.0
|
||||||
|
15.0
|
||||||
|
15.0
|
||||||
|
14.0
|
||||||
|
15.0
|
||||||
|
14.0
|
||||||
|
24.0
|
||||||
|
22.0
|
||||||
|
18.0
|
||||||
|
21.0
|
||||||
|
27.0
|
||||||
|
26.0
|
||||||
|
25.0
|
||||||
|
24.0
|
||||||
|
25.0
|
||||||
|
26.0
|
||||||
|
21.0
|
||||||
|
10.0
|
||||||
|
10.0
|
||||||
|
11.0
|
||||||
|
9.0
|
||||||
|
27.0
|
||||||
|
28.0
|
||||||
|
25.0
|
||||||
|
25.0
|
||||||
|
19.0
|
||||||
|
16.0
|
||||||
|
17.0
|
||||||
|
19.0
|
||||||
|
18.0
|
||||||
|
14.0
|
||||||
|
14.0
|
||||||
|
14.0
|
||||||
|
14.0
|
||||||
|
12.0
|
||||||
|
13.0
|
||||||
|
13.0
|
||||||
|
18.0
|
||||||
|
22.0
|
||||||
|
19.0
|
||||||
|
18.0
|
||||||
|
23.0
|
||||||
|
28.0
|
||||||
|
30.0
|
||||||
|
30.0
|
||||||
|
31.0
|
||||||
|
35.0
|
||||||
|
27.0
|
||||||
|
26.0
|
||||||
|
24.0
|
||||||
|
25.0
|
||||||
|
23.0
|
||||||
|
20.0
|
||||||
|
21.0
|
||||||
|
13.0
|
||||||
|
14.0
|
||||||
|
15.0
|
||||||
|
14.0
|
||||||
|
17.0
|
||||||
|
11.0
|
||||||
|
13.0
|
||||||
|
12.0
|
||||||
|
13.0
|
||||||
|
19.0
|
||||||
|
15.0
|
||||||
|
13.0
|
||||||
|
13.0
|
||||||
|
14.0
|
||||||
|
18.0
|
||||||
|
22.0
|
||||||
|
21.0
|
||||||
|
26.0
|
||||||
|
22.0
|
||||||
|
28.0
|
||||||
|
23.0
|
||||||
|
28.0
|
||||||
|
27.0
|
||||||
|
13.0
|
||||||
|
14.0
|
||||||
|
13.0
|
||||||
|
14.0
|
||||||
|
15.0
|
||||||
|
12.0
|
||||||
|
13.0
|
||||||
|
13.0
|
||||||
|
14.0
|
||||||
|
13.0
|
||||||
|
12.0
|
||||||
|
13.0
|
||||||
|
18.0
|
||||||
|
16.0
|
||||||
|
18.0
|
||||||
|
18.0
|
||||||
|
23.0
|
||||||
|
26.0
|
||||||
|
11.0
|
||||||
|
12.0
|
||||||
|
13.0
|
||||||
|
12.0
|
||||||
|
18.0
|
||||||
|
20.0
|
||||||
|
21.0
|
||||||
|
22.0
|
||||||
|
18.0
|
||||||
|
19.0
|
||||||
|
21.0
|
||||||
|
26.0
|
||||||
|
15.0
|
||||||
|
16.0
|
||||||
|
29.0
|
||||||
|
24.0
|
||||||
|
20.0
|
||||||
|
19.0
|
||||||
|
15.0
|
||||||
|
24.0
|
||||||
|
20.0
|
||||||
|
11.0
|
||||||
|
20.0
|
||||||
|
21.0
|
||||||
|
19.0
|
||||||
|
15.0
|
||||||
|
31.0
|
||||||
|
26.0
|
||||||
|
32.0
|
||||||
|
25.0
|
||||||
|
16.0
|
||||||
|
16.0
|
||||||
|
18.0
|
||||||
|
16.0
|
||||||
|
13.0
|
||||||
|
14.0
|
||||||
|
14.0
|
||||||
|
14.0
|
||||||
|
29.0
|
||||||
|
26.0
|
||||||
|
26.0
|
||||||
|
31.0
|
||||||
|
32.0
|
||||||
|
28.0
|
||||||
|
24.0
|
||||||
|
26.0
|
||||||
|
24.0
|
||||||
|
26.0
|
||||||
|
31.0
|
||||||
|
19.0
|
||||||
|
18.0
|
||||||
|
15.0
|
||||||
|
15.0
|
||||||
|
16.0
|
||||||
|
15.0
|
||||||
|
16.0
|
||||||
|
14.0
|
||||||
|
17.0
|
||||||
|
16.0
|
||||||
|
15.0
|
||||||
|
18.0
|
||||||
|
21.0
|
||||||
|
20.0
|
||||||
|
13.0
|
||||||
|
29.0
|
||||||
|
23.0
|
||||||
|
20.0
|
||||||
|
23.0
|
||||||
|
24.0
|
||||||
|
25.0
|
||||||
|
24.0
|
||||||
|
18.0
|
||||||
|
29.0
|
||||||
|
19.0
|
||||||
|
23.0
|
||||||
|
23.0
|
||||||
|
22.0
|
||||||
|
25.0
|
||||||
|
33.0
|
||||||
|
28.0
|
||||||
|
25.0
|
||||||
|
25.0
|
||||||
|
26.0
|
||||||
|
27.0
|
||||||
|
17.5
|
||||||
|
16.0
|
||||||
|
15.5
|
||||||
|
14.5
|
||||||
|
22.0
|
||||||
|
22.0
|
||||||
|
24.0
|
||||||
|
22.5
|
||||||
|
29.0
|
||||||
|
24.5
|
||||||
|
29.0
|
||||||
|
33.0
|
||||||
|
20.0
|
||||||
|
18.0
|
||||||
|
18.5
|
||||||
|
17.5
|
||||||
|
29.5
|
||||||
|
32.0
|
||||||
|
28.0
|
||||||
|
26.5
|
||||||
|
20.0
|
||||||
|
13.0
|
||||||
|
19.0
|
||||||
|
19.0
|
||||||
|
16.5
|
||||||
|
16.5
|
||||||
|
13.0
|
||||||
|
13.0
|
||||||
|
13.0
|
||||||
|
31.5
|
||||||
|
30.0
|
||||||
|
36.0
|
||||||
|
25.5
|
||||||
|
33.5
|
||||||
|
17.5
|
||||||
|
17.0
|
||||||
|
15.5
|
||||||
|
15.0
|
||||||
|
17.5
|
||||||
|
20.5
|
||||||
|
19.0
|
||||||
|
18.5
|
||||||
|
16.0
|
||||||
|
15.5
|
||||||
|
15.5
|
||||||
|
16.0
|
||||||
|
29.0
|
||||||
|
24.5
|
||||||
|
26.0
|
||||||
|
25.5
|
||||||
|
30.5
|
||||||
|
33.5
|
||||||
|
30.0
|
||||||
|
30.5
|
||||||
|
22.0
|
||||||
|
21.5
|
||||||
|
21.5
|
||||||
|
43.1
|
||||||
|
36.1
|
||||||
|
32.8
|
||||||
|
39.4
|
||||||
|
36.1
|
||||||
|
19.9
|
||||||
|
19.4
|
||||||
|
20.2
|
||||||
|
19.2
|
||||||
|
20.5
|
||||||
|
20.2
|
||||||
|
25.1
|
||||||
|
20.5
|
||||||
|
19.4
|
||||||
|
20.6
|
||||||
|
20.8
|
||||||
|
18.6
|
||||||
|
18.1
|
||||||
|
19.2
|
||||||
|
17.7
|
||||||
|
18.1
|
||||||
|
17.5
|
||||||
|
30.0
|
||||||
|
27.5
|
||||||
|
27.2
|
||||||
|
30.9
|
||||||
|
21.1
|
||||||
|
23.2
|
||||||
|
23.8
|
||||||
|
23.9
|
||||||
|
20.3
|
||||||
|
17.0
|
||||||
|
21.6
|
||||||
|
16.2
|
||||||
|
31.5
|
||||||
|
29.5
|
||||||
|
21.5
|
||||||
|
19.8
|
||||||
|
22.3
|
||||||
|
20.2
|
||||||
|
20.6
|
||||||
|
17.0
|
||||||
|
17.6
|
||||||
|
16.5
|
||||||
|
18.2
|
||||||
|
16.9
|
||||||
|
15.5
|
||||||
|
19.2
|
||||||
|
18.5
|
||||||
|
31.9
|
||||||
|
34.1
|
||||||
|
35.7
|
||||||
|
27.4
|
||||||
|
25.4
|
||||||
|
23.0
|
||||||
|
27.2
|
||||||
|
23.9
|
||||||
|
34.2
|
||||||
|
34.5
|
||||||
|
31.8
|
||||||
|
37.3
|
||||||
|
28.4
|
||||||
|
28.8
|
||||||
|
26.8
|
||||||
|
33.5
|
||||||
|
41.5
|
||||||
|
38.1
|
||||||
|
32.1
|
||||||
|
37.2
|
||||||
|
28.0
|
||||||
|
26.4
|
||||||
|
24.3
|
||||||
|
19.1
|
||||||
|
34.3
|
||||||
|
29.8
|
||||||
|
31.3
|
||||||
|
37.0
|
||||||
|
32.2
|
||||||
|
46.6
|
||||||
|
27.9
|
||||||
|
40.8
|
||||||
|
44.3
|
||||||
|
43.4
|
||||||
|
36.4
|
||||||
|
30.0
|
||||||
|
44.6
|
||||||
|
40.9
|
||||||
|
33.8
|
||||||
|
29.8
|
||||||
|
32.7
|
||||||
|
23.7
|
||||||
|
35.0
|
||||||
|
32.4
|
||||||
|
27.2
|
||||||
|
26.6
|
||||||
|
25.8
|
||||||
|
23.5
|
||||||
|
30.0
|
||||||
|
39.1
|
||||||
|
39.0
|
||||||
|
35.1
|
||||||
|
32.3
|
||||||
|
37.0
|
||||||
|
37.7
|
||||||
|
34.1
|
||||||
|
34.7
|
||||||
|
34.4
|
||||||
|
29.9
|
||||||
|
33.0
|
||||||
|
34.5
|
||||||
|
33.7
|
||||||
|
32.4
|
||||||
|
32.9
|
||||||
|
31.6
|
||||||
|
28.1
|
||||||
|
30.7
|
||||||
|
25.4
|
||||||
|
24.2
|
||||||
|
22.4
|
||||||
|
26.6
|
||||||
|
20.2
|
||||||
|
17.6
|
||||||
|
28.0
|
||||||
|
27.0
|
||||||
|
34.0
|
||||||
|
31.0
|
||||||
|
29.0
|
||||||
|
27.0
|
||||||
|
24.0
|
||||||
|
23.0
|
||||||
|
36.0
|
||||||
|
37.0
|
||||||
|
31.0
|
||||||
|
38.0
|
||||||
|
36.0
|
||||||
|
36.0
|
||||||
|
36.0
|
||||||
|
34.0
|
||||||
|
38.0
|
||||||
|
32.0
|
||||||
|
38.0
|
||||||
|
25.0
|
||||||
|
38.0
|
||||||
|
26.0
|
||||||
|
22.0
|
||||||
|
32.0
|
||||||
|
36.0
|
||||||
|
27.0
|
||||||
|
27.0
|
||||||
|
44.0
|
||||||
|
32.0
|
||||||
|
28.0
|
||||||
|
31.0
|
||||||
|
BIN
img/bore_size_joint.png
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|
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img/ci_per_cyl_joint.png
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|
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img/ci_per_lb_joint.png
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|
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|
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|
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img/efficiency_joint.png
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|
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|
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img/gruntiness_joint.png
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img/horsepower_joint.png
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|
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img/hp_per_ci_joint.png
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|
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img/load_joint.png
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|
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|
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314
model.ipynb
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314
model.ipynb
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File diff suppressed because one or more lines are too long
112
readme.md
Normal file
112
readme.md
Normal file
|
|
@ -0,0 +1,112 @@
|
||||||
|
# Analyzing Fuel Economy
|
||||||
|
Predicting MPG of a vehicle using a linear regression model. Success will be evaluated using r-squared and root mean square error scores over time as well as testing with some unseen, futuristic, and very different data compared to training set.
|
||||||
|
|
||||||
|
If you're curious about what goes into fuel economy, this should provide some insight on how it all works.
|
||||||
|
|
||||||
|
# Contents
|
||||||
|
1. [Clean](clean.ipynb) - Quick look to find any missing values, data of wrong types. Make sure data is in ranges that make sense
|
||||||
|
2. [EDA](eda.ipynb) - Investigate outliers and other items of interest. Manufacture some new features
|
||||||
|
3. [Model](model.ipynb) - Model and make predictions. Introduce some outside data
|
||||||
|
|
||||||
|
# Libs
|
||||||
|
* pandas
|
||||||
|
* numpy
|
||||||
|
* seaborn
|
||||||
|
* os
|
||||||
|
* matplotlib
|
||||||
|
* Ipython
|
||||||
|
* sklearn
|
||||||
|
|
||||||
|
# The Data
|
||||||
|
Using https://archive-beta.ics.uci.edu/ml/datasets/auto+mpg
|
||||||
|
1. Title: Auto-Mpg Data
|
||||||
|
|
||||||
|
2. Sources:
|
||||||
|
(a) Origin: 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.
|
||||||
|
(c) Date: July 7, 1993
|
||||||
|
|
||||||
|
3. Past Usage:
|
||||||
|
- See 2b (above)
|
||||||
|
- Quinlan,R. (1993). Combining Instance-Based and Model-Based Learning.
|
||||||
|
In Proceedings on the Tenth International Conference of Machine
|
||||||
|
Learning, 236-243, University of Massachusetts, Amherst. Morgan
|
||||||
|
Kaufmann.
|
||||||
|
|
||||||
|
4. Relevant 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)
|
||||||
|
|
||||||
|
5. Number of Instances: 398
|
||||||
|
|
||||||
|
6. Number of Attributes: 9 including the class attribute
|
||||||
|
|
||||||
|
7. Attribute Information:
|
||||||
|
|
||||||
|
1. mpg: continuous
|
||||||
|
2. cylinders: multi-valued discrete
|
||||||
|
3. displacement: continuous
|
||||||
|
4. horsepower: continuous
|
||||||
|
5. weight: continuous
|
||||||
|
6. acceleration: continuous
|
||||||
|
7. model year: multi-valued discrete
|
||||||
|
8. origin: multi-valued discrete
|
||||||
|
9. car name: string (unique for each instance)
|
||||||
|
|
||||||
|
8. Missing Attribute Values: horsepower has 6 missing values
|
||||||
|
|
||||||
|
# Summary
|
||||||
|
|
||||||
|
## A bit on engines:
|
||||||
|
|
||||||
|
* A most basic description of an engine is that it's an air pump
|
||||||
|
* Horsepower = (Torque * RPM) / 5252
|
||||||
|
* Torque peak is where an engine is operating most efficiently as far as air flow, applied science in action. (Fluid dynamics, resonance)
|
||||||
|
* Operating above or below the torque peak reduces efficiency and efficiency == fuel economy
|
||||||
|
* Torque peaks normally occur below 5252rpm, and horsepower peaks above that, so long as the engine can actually rev that high. On a dyno sheet (measuring torque and horsepower vs rpm) you'll see the torque/horsepower lines cross at 5252rpm
|
||||||
|
* As an engine spins faster, the power output increases until combustion is so inefficient and it produces so little torque that spinning faster produces no more power, if it holds together that long
|
||||||
|
|
||||||
|
Basically an engine that makes lots of power at high rpm but relatively little low end torque (mazda rotary), is going to have poor fuel economy because it spends most of its time outside of its efficiency range during normal driving. In contrast, diesel engines typically turn lower rpms and create all kinds of torque down low. So not only do they start off making more torque but they are less likely to stray very far from torque peak during normal driving. This is also why horsepower numbers on a diesel appear low, because they can't rev as high. There's more to it than this but this should be enough to provide context.
|
||||||
|
|
||||||
|
# Features
|
||||||
|
From the original features I chose:
|
||||||
|
* mpg: target
|
||||||
|
* number of cylinders
|
||||||
|
* engine displacement (in cubic inches)
|
||||||
|
* Horsepower
|
||||||
|
* Total weight of vehicle
|
||||||
|
|
||||||
|
From these I then calculated:
|
||||||
|
* Efficiency: HP per cubic inch - as this increases so does MPG
|
||||||
|
* Load: cubic inches per lb of weight - metric of how hard the engine has to work compared to its size. Engines that work hard use more fuel and a small engine working really hard can use more fuel than a big engine not doing much
|
||||||
|
* Bore_size: cubic inches per cylinder - best attempt to describe cylinder bore diameter which gives insight on torque curve
|
||||||
|
* Grunt: bore size divided by efficiency - an attempt to describe the power curve of an engine, or more specifically the presence/absence of low rpm torque output
|
||||||
|
|
||||||
|
All of these features are continuous.
|
||||||
|
|
||||||
|
# Model
|
||||||
|
|
||||||
|
Into the model:
|
||||||
|
* Horsepower
|
||||||
|
* Displacement
|
||||||
|
* Number of cylinders
|
||||||
|
* Weight
|
||||||
|
|
||||||
|
Which then gets turned into:
|
||||||
|
* Horsepower
|
||||||
|
* Bore_size
|
||||||
|
* Grunt
|
||||||
|
* Load
|
||||||
|
|
||||||
|
Then sent through:
|
||||||
|
* Quantile Transformer
|
||||||
|
* Linear Regression
|
||||||
Loading…
Add table
Reference in a new issue