Telematics Week 1 COD 15.04.2021.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Telematics Data Analytics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    This notebook is for Internship at Xen.AI. The aim is to apply AI/ML on truck data to reduce the downtime/maintenance time by predicting Engine Health Score (EHS).\n",
    "    We have to generate an equation and perform time series prediction for the EHS using available data.\n",
    "\n",
    "    Data Credits  : Dr. Dmitry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings                         #'do not disturb' mode\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "import numpy as np                      # vectors and matrices\n",
    "import pandas as pd                     # tables and data manipulations\n",
    "import matplotlib.pyplot as plt         # plots\n",
    "import seaborn as sns                   # more plots\n",
    "\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('telematics_data.csv')   # data importing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.options.display.max_rows = 200\n",
    "pd.options.display.max_columns =50     #to show max rows and columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>month</th>\n",
       "      <th>day</th>\n",
       "      <th>vin</th>\n",
       "      <th>wmi</th>\n",
       "      <th>engine_cd</th>\n",
       "      <th>device_type</th>\n",
       "      <th>msg_ts</th>\n",
       "      <th>vin_utc_key</th>\n",
       "      <th>packet_id</th>\n",
       "      <th>reason_code</th>\n",
       "      <th>script_version</th>\n",
       "      <th>deviceid</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>driveridcode1</th>\n",
       "      <th>obdvin</th>\n",
       "      <th>vehiclebattvolts</th>\n",
       "      <th>fuel_total</th>\n",
       "      <th>engine_rpm</th>\n",
       "      <th>coolant_tmp</th>\n",
       "      <th>fuel_lvl_pct</th>\n",
       "      <th>driving_tme_sec</th>\n",
       "      <th>cruise_tme_sec</th>\n",
       "      <th>idle_tme_sec</th>\n",
       "      <th>idle_fuel_total</th>\n",
       "      <th>pto_tme_total</th>\n",
       "      <th>pto_fuel_total</th>\n",
       "      <th>gear</th>\n",
       "      <th>fuel_tmp</th>\n",
       "      <th>oil_tmpl</th>\n",
       "      <th>throt_pos</th>\n",
       "      <th>mpg</th>\n",
       "      <th>acel_pos</th>\n",
       "      <th>engine_pct_load</th>\n",
       "      <th>torque</th>\n",
       "      <th>oil_lvl</th>\n",
       "      <th>oil_psi</th>\n",
       "      <th>coolant_psi</th>\n",
       "      <th>intak_air_tmp</th>\n",
       "      <th>manifold_tmp</th>\n",
       "      <th>vehiclespeed</th>\n",
       "      <th>heading</th>\n",
       "      <th>odometerinmeters</th>\n",
       "      <th>odometer</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2020</td>\n",
       "      <td>4</td>\n",
       "      <td>18</td>\n",
       "      <td>3HSDZTZR9KN352697</td>\n",
       "      <td>3HS</td>\n",
       "      <td>TZ</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>2020-04-18 06:50:40</td>\n",
       "      <td>3HSDZTZR9KN3526972020-04-18 06:50:40</td>\n",
       "      <td>36</td>\n",
       "      <td>9</td>\n",
       "      <td>204.0</td>\n",
       "      <td>173101817</td>\n",
       "      <td>38.799149</td>\n",
       "      <td>-90.603680</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3HSDZTZR9KN352697</td>\n",
       "      <td>14.2</td>\n",
       "      <td>106165.0</td>\n",
       "      <td>1144.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>41.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2167380.0</td>\n",
       "      <td>1503.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>340.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>1005.0</td>\n",
       "      <td>960.0</td>\n",
       "      <td>380663000.0</td>\n",
       "      <td>380663.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020</td>\n",
       "      <td>5</td>\n",
       "      <td>20</td>\n",
       "      <td>3HSDZTZR9LN055320</td>\n",
       "      <td>3HS</td>\n",
       "      <td>TZ</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>2020-05-20 03:01:09</td>\n",
       "      <td>3HSDZTZR9LN0553202020-05-20 03:01:09</td>\n",
       "      <td>36</td>\n",
       "      <td>9</td>\n",
       "      <td>204.0</td>\n",
       "      <td>172301945</td>\n",
       "      <td>33.618963</td>\n",
       "      <td>-84.333847</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3HSDZTZR9LN055320</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>584.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>228.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>11.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>88781990.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2020</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>3HSDZTZR0KN354211</td>\n",
       "      <td>3HS</td>\n",
       "      <td>TZ</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>2020-04-01 20:02:39</td>\n",
       "      <td>3HSDZTZR0KN3542112020-04-01 20:02:39</td>\n",
       "      <td>36</td>\n",
       "      <td>9</td>\n",
       "      <td>204.0</td>\n",
       "      <td>173511306</td>\n",
       "      <td>41.139005</td>\n",
       "      <td>-101.173123</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3HSDZTZR0KN354211</td>\n",
       "      <td>NaN</td>\n",
       "      <td>113134.0</td>\n",
       "      <td>1145.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1788120.0</td>\n",
       "      <td>1172.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>41.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>320.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2709.0</td>\n",
       "      <td>416436440.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2020</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>3HSDWTZR8LN845362</td>\n",
       "      <td>3HS</td>\n",
       "      <td>TZ</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>2020-05-05 06:17:36</td>\n",
       "      <td>3HSDWTZR8LN8453622020-05-05 06:17:36</td>\n",
       "      <td>36</td>\n",
       "      <td>9</td>\n",
       "      <td>204.0</td>\n",
       "      <td>173404340</td>\n",
       "      <td>38.856184</td>\n",
       "      <td>-98.139251</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3HSDWTZR8LN845362</td>\n",
       "      <td>14.0</td>\n",
       "      <td>149410.0</td>\n",
       "      <td>1368.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>786600.0</td>\n",
       "      <td>497.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>424.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1095.0</td>\n",
       "      <td>838.0</td>\n",
       "      <td>426460520.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>3HSDZTZRXLN085409</td>\n",
       "      <td>3HS</td>\n",
       "      <td>TZ</td>\n",
       "      <td>N2</td>\n",
       "      <td>2020-04-07 20:14:07</td>\n",
       "      <td>3HSDZTZRXLN0854092020-04-07 20:14:07</td>\n",
       "      <td>36</td>\n",
       "      <td>9</td>\n",
       "      <td>204.0</td>\n",
       "      <td>190815-0009</td>\n",
       "      <td>33.351086</td>\n",
       "      <td>-87.017387</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3HSDZTZRXLN085409</td>\n",
       "      <td>14.1</td>\n",
       "      <td>33886.0</td>\n",
       "      <td>1167.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4755420.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>504.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>88.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>65.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>320.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1090.0</td>\n",
       "      <td>458.0</td>\n",
       "      <td>107975440.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "   year  month  day                vin  wmi engine_cd device_type  \\\n",
       "0  2020      4   18  3HSDZTZR9KN352697  3HS        TZ       Xirgo   \n",
       "1  2020      5   20  3HSDZTZR9LN055320  3HS        TZ       Xirgo   \n",
       "2  2020      4    1  3HSDZTZR0KN354211  3HS        TZ       Xirgo   \n",
       "3  2020      5    5  3HSDWTZR8LN845362  3HS        TZ       Xirgo   \n",
       "4  2020      4    7  3HSDZTZRXLN085409  3HS        TZ          N2   \n",
       "\n",
       "                msg_ts                           vin_utc_key  packet_id  \\\n",
       "0  2020-04-18 06:50:40  3HSDZTZR9KN3526972020-04-18 06:50:40         36   \n",
       "1  2020-05-20 03:01:09  3HSDZTZR9LN0553202020-05-20 03:01:09         36   \n",
       "2  2020-04-01 20:02:39  3HSDZTZR0KN3542112020-04-01 20:02:39         36   \n",
       "3  2020-05-05 06:17:36  3HSDWTZR8LN8453622020-05-05 06:17:36         36   \n",
       "4  2020-04-07 20:14:07  3HSDZTZRXLN0854092020-04-07 20:14:07         36   \n",
       "\n",
       "   reason_code  script_version     deviceid   latitude   longitude  \\\n",
       "0            9           204.0    173101817  38.799149  -90.603680   \n",
       "1            9           204.0    172301945  33.618963  -84.333847   \n",
       "2            9           204.0    173511306  41.139005 -101.173123   \n",
       "3            9           204.0    173404340  38.856184  -98.139251   \n",
       "4            9           204.0  190815-0009  33.351086  -87.017387   \n",
       "\n",
       "   driveridcode1             obdvin  vehiclebattvolts  fuel_total  engine_rpm  \\\n",
       "0            0.0  3HSDZTZR9KN352697              14.2    106165.0      1144.0   \n",
       "1            0.0  3HSDZTZR9LN055320               NaN         NaN       584.0   \n",
       "2            0.0  3HSDZTZR0KN354211               NaN    113134.0      1145.0   \n",
       "3            0.0  3HSDWTZR8LN845362              14.0    149410.0      1368.0   \n",
       "4            0.0  3HSDZTZRXLN085409              14.1     33886.0      1167.0   \n",
       "\n",
       "   coolant_tmp  fuel_lvl_pct  driving_tme_sec  cruise_tme_sec  idle_tme_sec  \\\n",
       "0         79.0          41.0              NaN             NaN     2167380.0   \n",
       "1         61.0           NaN              NaN             NaN           NaN   \n",
       "2         81.0           NaN              NaN             NaN     1788120.0   \n",
       "3         81.0          54.0              NaN             NaN      786600.0   \n",
       "4         82.0           NaN        4755420.0             NaN           NaN   \n",
       "\n",
       "   idle_fuel_total  pto_tme_total  pto_fuel_total  gear  fuel_tmp  oil_tmpl  \\\n",
       "0           1503.0            0.0             0.0   1.0       0.0      76.0   \n",
       "1              NaN            NaN             0.0   2.0       0.0      56.0   \n",
       "2           1172.0            NaN             0.0   1.0       0.0       NaN   \n",
       "3            497.0            0.0             0.0   1.0       0.0      86.0   \n",
       "4            504.0            0.0             0.0   1.0       NaN      88.0   \n",
       "\n",
       "   throt_pos  mpg  acel_pos  engine_pct_load  torque  oil_lvl  oil_psi  \\\n",
       "0        0.0  NaN       0.0             11.0    12.0      0.0    340.0   \n",
       "1        1.0  NaN       0.0             26.0    11.0      0.0    228.0   \n",
       "2        0.0  NaN       NaN             41.0    42.0      NaN    320.0   \n",
       "3        0.0  NaN       0.0             19.0    19.0      0.0    424.0   \n",
       "4        0.0  NaN       NaN             65.0    67.0      NaN    320.0   \n",
       "\n",
       "   coolant_psi  intak_air_tmp  manifold_tmp  vehiclespeed  heading  \\\n",
       "0          0.0            4.0          10.0        1005.0    960.0   \n",
       "1          0.0           24.0           NaN          11.0    700.0   \n",
       "2          0.0           25.0           NaN           NaN   2709.0   \n",
       "3          0.0           13.0          30.0        1095.0    838.0   \n",
       "4          NaN            NaN           NaN        1090.0    458.0   \n",
       "\n",
       "   odometerinmeters  odometer  \n",
       "0       380663000.0  380663.0  \n",
       "1        88781990.0       NaN  \n",
       "2       416436440.0       NaN  \n",
       "3       426460520.0       NaN  \n",
       "4       107975440.0       NaN  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
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   "source": [
    "data.head()"
   ]
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  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 514994 entries, 0 to 514993\n",
      "Data columns (total 45 columns):\n",
      " #   Column            Non-Null Count   Dtype  \n",
      "---  ------            --------------   -----  \n",
      " 0   year              514994 non-null  int64  \n",
      " 1   month             514994 non-null  int64  \n",
      " 2   day               514994 non-null  int64  \n",
      " 3   vin               514994 non-null  object \n",
      " 4   wmi               514994 non-null  object \n",
      " 5   engine_cd         514994 non-null  object \n",
      " 6   device_type       514994 non-null  object \n",
      " 7   msg_ts            514994 non-null  object \n",
      " 8   vin_utc_key       514994 non-null  object \n",
      " 9   packet_id         514994 non-null  int64  \n",
      " 10  reason_code       514994 non-null  int64  \n",
      " 11  script_version    389569 non-null  float64\n",
      " 12  deviceid          487753 non-null  object \n",
      " 13  latitude          487710 non-null  float64\n",
      " 14  longitude         487748 non-null  float64\n",
      " 15  driveridcode1     487608 non-null  float64\n",
      " 16  obdvin            487689 non-null  object \n",
      " 17  vehiclebattvolts  457856 non-null  float64\n",
      " 18  fuel_total        454170 non-null  float64\n",
      " 19  engine_rpm        514994 non-null  float64\n",
      " 20  coolant_tmp       457846 non-null  float64\n",
      " 21  fuel_lvl_pct      273821 non-null  float64\n",
      " 22  driving_tme_sec   93406 non-null   float64\n",
      " 23  cruise_tme_sec    0 non-null       float64\n",
      " 24  idle_tme_sec      453791 non-null  float64\n",
      " 25  idle_fuel_total   453592 non-null  float64\n",
      " 26  pto_tme_total     453709 non-null  float64\n",
      " 27  pto_fuel_total    453606 non-null  float64\n",
      " 28  gear              437694 non-null  float64\n",
      " 29  fuel_tmp          364422 non-null  float64\n",
      " 30  oil_tmpl          457956 non-null  float64\n",
      " 31  throt_pos         457973 non-null  float64\n",
      " 32  mpg               0 non-null       float64\n",
      " 33  acel_pos          364432 non-null  float64\n",
      " 34  engine_pct_load   475924 non-null  float64\n",
      " 35  torque            475351 non-null  float64\n",
      " 36  oil_lvl           364709 non-null  float64\n",
      " 37  oil_psi           457907 non-null  float64\n",
      " 38  coolant_psi       364519 non-null  float64\n",
      " 39  intak_air_tmp     458267 non-null  float64\n",
      " 40  manifold_tmp      458811 non-null  float64\n",
      " 41  vehiclespeed      487650 non-null  float64\n",
      " 42  heading           473111 non-null  float64\n",
      " 43  odometerinmeters  487801 non-null  float64\n",
      " 44  odometer          10393 non-null   float64\n",
      "dtypes: float64(32), int64(5), object(8)\n",
      "memory usage: 176.8+ MB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "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>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>year</th>\n",
       "      <td>514994.0</td>\n",
       "      <td>2.020000e+03</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2020.000000</td>\n",
       "      <td>2.020000e+03</td>\n",
       "      <td>2.020000e+03</td>\n",
       "      <td>2.020000e+03</td>\n",
       "      <td>2.020000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>month</th>\n",
       "      <td>514994.0</td>\n",
       "      <td>4.418752e+00</td>\n",
       "      <td>4.933552e-01</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>4.000000e+00</td>\n",
       "      <td>4.000000e+00</td>\n",
       "      <td>5.000000e+00</td>\n",
       "      <td>5.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day</th>\n",
       "      <td>514994.0</td>\n",
       "      <td>1.459695e+01</td>\n",
       "      <td>8.798866e+00</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>7.000000e+00</td>\n",
       "      <td>1.400000e+01</td>\n",
       "      <td>2.200000e+01</td>\n",
       "      <td>3.100000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>packet_id</th>\n",
       "      <td>514994.0</td>\n",
       "      <td>3.600000e+01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>36.000000</td>\n",
       "      <td>3.600000e+01</td>\n",
       "      <td>3.600000e+01</td>\n",
       "      <td>3.600000e+01</td>\n",
       "      <td>3.600000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>reason_code</th>\n",
       "      <td>514994.0</td>\n",
       "      <td>9.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>9.000000e+00</td>\n",
       "      <td>9.000000e+00</td>\n",
       "      <td>9.000000e+00</td>\n",
       "      <td>9.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>script_version</th>\n",
       "      <td>389569.0</td>\n",
       "      <td>2.039341e+02</td>\n",
       "      <td>3.486552e-01</td>\n",
       "      <td>202.000000</td>\n",
       "      <td>2.040000e+02</td>\n",
       "      <td>2.040000e+02</td>\n",
       "      <td>2.040000e+02</td>\n",
       "      <td>2.050000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>latitude</th>\n",
       "      <td>487710.0</td>\n",
       "      <td>3.785637e+01</td>\n",
       "      <td>4.753280e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.476537e+01</td>\n",
       "      <td>3.822858e+01</td>\n",
       "      <td>4.104918e+01</td>\n",
       "      <td>5.364719e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>longitude</th>\n",
       "      <td>487748.0</td>\n",
       "      <td>-9.435125e+01</td>\n",
       "      <td>1.472567e+01</td>\n",
       "      <td>-123.393693</td>\n",
       "      <td>-1.063341e+02</td>\n",
       "      <td>-9.203233e+01</td>\n",
       "      <td>-8.432520e+01</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>driveridcode1</th>\n",
       "      <td>487608.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vehiclebattvolts</th>\n",
       "      <td>457856.0</td>\n",
       "      <td>1.402742e+01</td>\n",
       "      <td>1.523859e-01</td>\n",
       "      <td>11.600000</td>\n",
       "      <td>1.395000e+01</td>\n",
       "      <td>1.405000e+01</td>\n",
       "      <td>1.410000e+01</td>\n",
       "      <td>1.480000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fuel_total</th>\n",
       "      <td>454170.0</td>\n",
       "      <td>7.267131e+04</td>\n",
       "      <td>4.471582e+04</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.081200e+04</td>\n",
       "      <td>6.887400e+04</td>\n",
       "      <td>9.445400e+04</td>\n",
       "      <td>2.578140e+05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>engine_rpm</th>\n",
       "      <td>514994.0</td>\n",
       "      <td>1.162784e+03</td>\n",
       "      <td>2.508765e+02</td>\n",
       "      <td>458.000000</td>\n",
       "      <td>1.098000e+03</td>\n",
       "      <td>1.198000e+03</td>\n",
       "      <td>1.326000e+03</td>\n",
       "      <td>8.191000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coolant_tmp</th>\n",
       "      <td>457846.0</td>\n",
       "      <td>8.055149e+01</td>\n",
       "      <td>7.013731e+00</td>\n",
       "      <td>-40.000000</td>\n",
       "      <td>8.000000e+01</td>\n",
       "      <td>8.100000e+01</td>\n",
       "      <td>8.300000e+01</td>\n",
       "      <td>1.030000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fuel_lvl_pct</th>\n",
       "      <td>273821.0</td>\n",
       "      <td>7.423083e+01</td>\n",
       "      <td>2.299847e+01</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>5.900000e+01</td>\n",
       "      <td>7.600000e+01</td>\n",
       "      <td>9.900000e+01</td>\n",
       "      <td>1.000000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>driving_tme_sec</th>\n",
       "      <td>93406.0</td>\n",
       "      <td>6.385438e+06</td>\n",
       "      <td>3.177339e+06</td>\n",
       "      <td>143280.000000</td>\n",
       "      <td>3.569580e+06</td>\n",
       "      <td>6.036480e+06</td>\n",
       "      <td>9.170460e+06</td>\n",
       "      <td>1.340280e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cruise_tme_sec</th>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>idle_tme_sec</th>\n",
       "      <td>453791.0</td>\n",
       "      <td>1.882450e+06</td>\n",
       "      <td>1.736246e+06</td>\n",
       "      <td>360.000000</td>\n",
       "      <td>6.940800e+05</td>\n",
       "      <td>1.485360e+06</td>\n",
       "      <td>2.237940e+06</td>\n",
       "      <td>8.160660e+06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>idle_fuel_total</th>\n",
       "      <td>453592.0</td>\n",
       "      <td>1.289576e+03</td>\n",
       "      <td>1.261961e+03</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.130000e+02</td>\n",
       "      <td>9.850000e+02</td>\n",
       "      <td>1.488000e+03</td>\n",
       "      <td>6.174000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pto_tme_total</th>\n",
       "      <td>453709.0</td>\n",
       "      <td>5.417967e+02</td>\n",
       "      <td>3.966017e+03</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>4.915800e+04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>pto_fuel_total</th>\n",
       "      <td>453606.0</td>\n",
       "      <td>4.831530e+01</td>\n",
       "      <td>2.871799e+02</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>2.998000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>gear</th>\n",
       "      <td>437694.0</td>\n",
       "      <td>1.145069e+00</td>\n",
       "      <td>5.283652e-01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>3.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fuel_tmp</th>\n",
       "      <td>364422.0</td>\n",
       "      <td>-4.258799e-02</td>\n",
       "      <td>1.304496e+00</td>\n",
       "      <td>-40.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oil_tmpl</th>\n",
       "      <td>457956.0</td>\n",
       "      <td>8.614560e+01</td>\n",
       "      <td>9.936019e+00</td>\n",
       "      <td>-273.000000</td>\n",
       "      <td>8.500000e+01</td>\n",
       "      <td>8.800000e+01</td>\n",
       "      <td>9.000000e+01</td>\n",
       "      <td>1.140000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>throt_pos</th>\n",
       "      <td>457973.0</td>\n",
       "      <td>3.441681e+01</td>\n",
       "      <td>4.220618e+01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>8.100000e+01</td>\n",
       "      <td>1.000000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mpg</th>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>acel_pos</th>\n",
       "      <td>364432.0</td>\n",
       "      <td>2.725803e-01</td>\n",
       "      <td>5.016490e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>9.700000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>engine_pct_load</th>\n",
       "      <td>475924.0</td>\n",
       "      <td>4.451191e+01</td>\n",
       "      <td>3.265526e+01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.400000e+01</td>\n",
       "      <td>4.300000e+01</td>\n",
       "      <td>6.800000e+01</td>\n",
       "      <td>2.450000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>torque</th>\n",
       "      <td>475351.0</td>\n",
       "      <td>4.264863e+01</td>\n",
       "      <td>3.296667e+01</td>\n",
       "      <td>-125.000000</td>\n",
       "      <td>8.000000e+00</td>\n",
       "      <td>4.200000e+01</td>\n",
       "      <td>6.700000e+01</td>\n",
       "      <td>1.040000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oil_lvl</th>\n",
       "      <td>364709.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oil_psi</th>\n",
       "      <td>457907.0</td>\n",
       "      <td>3.263757e+02</td>\n",
       "      <td>8.667653e+01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.920000e+02</td>\n",
       "      <td>3.320000e+02</td>\n",
       "      <td>3.720000e+02</td>\n",
       "      <td>9.200000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coolant_psi</th>\n",
       "      <td>364519.0</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>intak_air_tmp</th>\n",
       "      <td>458267.0</td>\n",
       "      <td>2.024400e+01</td>\n",
       "      <td>8.910159e+00</td>\n",
       "      <td>-21.000000</td>\n",
       "      <td>1.400000e+01</td>\n",
       "      <td>2.000000e+01</td>\n",
       "      <td>2.600000e+01</td>\n",
       "      <td>6.600000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manifold_tmp</th>\n",
       "      <td>458811.0</td>\n",
       "      <td>3.829099e+01</td>\n",
       "      <td>1.009876e+01</td>\n",
       "      <td>-11.000000</td>\n",
       "      <td>3.200000e+01</td>\n",
       "      <td>3.800000e+01</td>\n",
       "      <td>4.500000e+01</td>\n",
       "      <td>8.400000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vehiclespeed</th>\n",
       "      <td>487650.0</td>\n",
       "      <td>8.563832e+02</td>\n",
       "      <td>3.706731e+02</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>8.470000e+02</td>\n",
       "      <td>1.023000e+03</td>\n",
       "      <td>1.092000e+03</td>\n",
       "      <td>1.437000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>heading</th>\n",
       "      <td>473111.0</td>\n",
       "      <td>1.470257e+03</td>\n",
       "      <td>1.106554e+03</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.590000e+02</td>\n",
       "      <td>1.165000e+03</td>\n",
       "      <td>2.560000e+03</td>\n",
       "      <td>3.599000e+03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>odometerinmeters</th>\n",
       "      <td>487801.0</td>\n",
       "      <td>2.300427e+08</td>\n",
       "      <td>1.348677e+08</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.298192e+08</td>\n",
       "      <td>2.265499e+08</td>\n",
       "      <td>3.016072e+08</td>\n",
       "      <td>6.115477e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>odometer</th>\n",
       "      <td>10393.0</td>\n",
       "      <td>3.132203e+05</td>\n",
       "      <td>1.382714e+05</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.238170e+05</td>\n",
       "      <td>3.042480e+05</td>\n",
       "      <td>4.264420e+05</td>\n",
       "      <td>6.110150e+05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     count          mean           std            min  \\\n",
       "year              514994.0  2.020000e+03  0.000000e+00    2020.000000   \n",
       "month             514994.0  4.418752e+00  4.933552e-01       4.000000   \n",
       "day               514994.0  1.459695e+01  8.798866e+00       1.000000   \n",
       "packet_id         514994.0  3.600000e+01  0.000000e+00      36.000000   \n",
       "reason_code       514994.0  9.000000e+00  0.000000e+00       9.000000   \n",
       "script_version    389569.0  2.039341e+02  3.486552e-01     202.000000   \n",
       "latitude          487710.0  3.785637e+01  4.753280e+00       0.000000   \n",
       "longitude         487748.0 -9.435125e+01  1.472567e+01    -123.393693   \n",
       "driveridcode1     487608.0  0.000000e+00  0.000000e+00       0.000000   \n",
       "vehiclebattvolts  457856.0  1.402742e+01  1.523859e-01      11.600000   \n",
       "fuel_total        454170.0  7.267131e+04  4.471582e+04       1.000000   \n",
       "engine_rpm        514994.0  1.162784e+03  2.508765e+02     458.000000   \n",
       "coolant_tmp       457846.0  8.055149e+01  7.013731e+00     -40.000000   \n",
       "fuel_lvl_pct      273821.0  7.423083e+01  2.299847e+01       2.000000   \n",
       "driving_tme_sec    93406.0  6.385438e+06  3.177339e+06  143280.000000   \n",
       "cruise_tme_sec         0.0           NaN           NaN            NaN   \n",
       "idle_tme_sec      453791.0  1.882450e+06  1.736246e+06     360.000000   \n",
       "idle_fuel_total   453592.0  1.289576e+03  1.261961e+03       1.000000   \n",
       "pto_tme_total     453709.0  5.417967e+02  3.966017e+03       0.000000   \n",
       "pto_fuel_total    453606.0  4.831530e+01  2.871799e+02       0.000000   \n",
       "gear              437694.0  1.145069e+00  5.283652e-01       0.000000   \n",
       "fuel_tmp          364422.0 -4.258799e-02  1.304496e+00     -40.000000   \n",
       "oil_tmpl          457956.0  8.614560e+01  9.936019e+00    -273.000000   \n",
       "throt_pos         457973.0  3.441681e+01  4.220618e+01       0.000000   \n",
       "mpg                    0.0           NaN           NaN            NaN   \n",
       "acel_pos          364432.0  2.725803e-01  5.016490e+00       0.000000   \n",
       "engine_pct_load   475924.0  4.451191e+01  3.265526e+01       0.000000   \n",
       "torque            475351.0  4.264863e+01  3.296667e+01    -125.000000   \n",
       "oil_lvl           364709.0  0.000000e+00  0.000000e+00       0.000000   \n",
       "oil_psi           457907.0  3.263757e+02  8.667653e+01       0.000000   \n",
       "coolant_psi       364519.0  0.000000e+00  0.000000e+00       0.000000   \n",
       "intak_air_tmp     458267.0  2.024400e+01  8.910159e+00     -21.000000   \n",
       "manifold_tmp      458811.0  3.829099e+01  1.009876e+01     -11.000000   \n",
       "vehiclespeed      487650.0  8.563832e+02  3.706731e+02       0.000000   \n",
       "heading           473111.0  1.470257e+03  1.106554e+03       1.000000   \n",
       "odometerinmeters  487801.0  2.300427e+08  1.348677e+08       0.000000   \n",
       "odometer           10393.0  3.132203e+05  1.382714e+05       0.000000   \n",
       "\n",
       "                           25%           50%           75%           max  \n",
       "year              2.020000e+03  2.020000e+03  2.020000e+03  2.020000e+03  \n",
       "month             4.000000e+00  4.000000e+00  5.000000e+00  5.000000e+00  \n",
       "day               7.000000e+00  1.400000e+01  2.200000e+01  3.100000e+01  \n",
       "packet_id         3.600000e+01  3.600000e+01  3.600000e+01  3.600000e+01  \n",
       "reason_code       9.000000e+00  9.000000e+00  9.000000e+00  9.000000e+00  \n",
       "script_version    2.040000e+02  2.040000e+02  2.040000e+02  2.050000e+02  \n",
       "latitude          3.476537e+01  3.822858e+01  4.104918e+01  5.364719e+01  \n",
       "longitude        -1.063341e+02 -9.203233e+01 -8.432520e+01  0.000000e+00  \n",
       "driveridcode1     0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  \n",
       "vehiclebattvolts  1.395000e+01  1.405000e+01  1.410000e+01  1.480000e+01  \n",
       "fuel_total        4.081200e+04  6.887400e+04  9.445400e+04  2.578140e+05  \n",
       "engine_rpm        1.098000e+03  1.198000e+03  1.326000e+03  8.191000e+03  \n",
       "coolant_tmp       8.000000e+01  8.100000e+01  8.300000e+01  1.030000e+02  \n",
       "fuel_lvl_pct      5.900000e+01  7.600000e+01  9.900000e+01  1.000000e+02  \n",
       "driving_tme_sec   3.569580e+06  6.036480e+06  9.170460e+06  1.340280e+07  \n",
       "cruise_tme_sec             NaN           NaN           NaN           NaN  \n",
       "idle_tme_sec      6.940800e+05  1.485360e+06  2.237940e+06  8.160660e+06  \n",
       "idle_fuel_total   4.130000e+02  9.850000e+02  1.488000e+03  6.174000e+03  \n",
       "pto_tme_total     0.000000e+00  0.000000e+00  0.000000e+00  4.915800e+04  \n",
       "pto_fuel_total    0.000000e+00  0.000000e+00  0.000000e+00  2.998000e+03  \n",
       "gear              1.000000e+00  1.000000e+00  1.000000e+00  3.000000e+00  \n",
       "fuel_tmp          0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  \n",
       "oil_tmpl          8.500000e+01  8.800000e+01  9.000000e+01  1.140000e+02  \n",
       "throt_pos         0.000000e+00  0.000000e+00  8.100000e+01  1.000000e+02  \n",
       "mpg                        NaN           NaN           NaN           NaN  \n",
       "acel_pos          0.000000e+00  0.000000e+00  0.000000e+00  9.700000e+01  \n",
       "engine_pct_load   1.400000e+01  4.300000e+01  6.800000e+01  2.450000e+02  \n",
       "torque            8.000000e+00  4.200000e+01  6.700000e+01  1.040000e+02  \n",
       "oil_lvl           0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  \n",
       "oil_psi           2.920000e+02  3.320000e+02  3.720000e+02  9.200000e+02  \n",
       "coolant_psi       0.000000e+00  0.000000e+00  0.000000e+00  0.000000e+00  \n",
       "intak_air_tmp     1.400000e+01  2.000000e+01  2.600000e+01  6.600000e+01  \n",
       "manifold_tmp      3.200000e+01  3.800000e+01  4.500000e+01  8.400000e+01  \n",
       "vehiclespeed      8.470000e+02  1.023000e+03  1.092000e+03  1.437000e+03  \n",
       "heading           3.590000e+02  1.165000e+03  2.560000e+03  3.599000e+03  \n",
       "odometerinmeters  1.298192e+08  2.265499e+08  3.016072e+08  6.115477e+08  \n",
       "odometer          2.238170e+05  3.042480e+05  4.264420e+05  6.110150e+05  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "year                  0.000000\n",
       "month                 0.000000\n",
       "day                   0.000000\n",
       "vin                   0.000000\n",
       "wmi                   0.000000\n",
       "engine_cd             0.000000\n",
       "device_type           0.000000\n",
       "msg_ts                0.000000\n",
       "vin_utc_key           0.000000\n",
       "packet_id             0.000000\n",
       "reason_code           0.000000\n",
       "script_version       24.354653\n",
       "deviceid              5.289576\n",
       "latitude              5.297926\n",
       "longitude             5.290547\n",
       "driveridcode1         5.317732\n",
       "obdvin                5.302004\n",
       "vehiclebattvolts     11.094887\n",
       "fuel_total           11.810623\n",
       "engine_rpm            0.000000\n",
       "coolant_tmp          11.096828\n",
       "fuel_lvl_pct         46.830254\n",
       "driving_tme_sec      81.862701\n",
       "cruise_tme_sec      100.000000\n",
       "idle_tme_sec         11.884216\n",
       "idle_fuel_total      11.922857\n",
       "pto_tme_total        11.900139\n",
       "pto_fuel_total       11.920139\n",
       "gear                 15.009884\n",
       "fuel_tmp             29.237622\n",
       "oil_tmpl             11.075469\n",
       "throt_pos            11.072168\n",
       "mpg                 100.000000\n",
       "acel_pos             29.235680\n",
       "engine_pct_load       7.586496\n",
       "torque                7.697760\n",
       "oil_lvl              29.181893\n",
       "oil_psi              11.084984\n",
       "coolant_psi          29.218787\n",
       "intak_air_tmp        11.015080\n",
       "manifold_tmp         10.909447\n",
       "vehiclespeed          5.309576\n",
       "heading               8.132716\n",
       "odometerinmeters      5.280256\n",
       "odometer             97.981918\n",
       "dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()/len(data) * 100   #percentage of missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Total rows = 514994 \n",
      "\n",
      "year\n",
      "2020    514994\n",
      "Name: year, dtype: int64\n",
      "Number of values = 1\n",
      "Percentage of Missing values = 0.00 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "month\n",
      "4    299339\n",
      "5    215655\n",
      "Name: month, dtype: int64\n",
      "Number of values = 2\n",
      "Percentage of Missing values = 0.00 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "day\n",
      "8     30136\n",
      "4     26772\n",
      "5     23166\n",
      "14    22010\n",
      "15    21944\n",
      "1     20784\n",
      "29    20444\n",
      "7     20259\n",
      "13    20209\n",
      "27    19883\n",
      "6     19324\n",
      "20    19160\n",
      "18    18087\n",
      "11    16606\n",
      "23    16270\n",
      "9     16004\n",
      "24    15687\n",
      "19    15648\n",
      "3     15644\n",
      "25    15228\n",
      "2     15182\n",
      "21    14887\n",
      "12    13911\n",
      "30    12962\n",
      "10    12318\n",
      "28    11887\n",
      "26    11585\n",
      "16    10745\n",
      "22    10605\n",
      "17     4596\n",
      "31     3051\n",
      "Name: day, dtype: int64\n",
      "Number of values = 31\n",
      "Percentage of Missing values = 0.00 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "vin\n",
      "3HSDZTZR5LN134290    34636\n",
      "1HSERTZRXLH809470     9962\n",
      "3HSDZTZRXLN395656     7263\n",
      "3HSDZTZRXLN085409     6657\n",
      "3HSDZTZR3LN154022     6639\n",
      "3HCDZTZR1LL880100     6583\n",
      "3HCDZTZR9LL880099     6401\n",
      "3HCDZTZR3LL880101     6267\n",
      "3HSDZTZR8KN398425     6048\n",
      "3HSDZTZR1KN174476     5873\n",
      "3HSDZTZR3MN096740     5791\n",
      "3HSDZTZR4LN056083     5586\n",
      "3HCDZTZR6ML684705     5362\n",
      "3HSDZTZR5LN164115     5343\n",
      "3HCDZTZR5LL880102     5316\n",
      "3HCDZTZR7LL880103     5315\n",
      "3HSDZTZR3KN315175     5291\n",
      "3HSDZTZR2LN230944     5289\n",
      "3HSDZTZR0LN880114     5239\n",
      "3HSDZTZR6LN056148     5208\n",
      "3HSDZTZR3LN833708     5132\n",
      "3HSDZTZR4KN126504     5116\n",
      "3HSDZTZR1LN871454     5097\n",
      "3HSDWTZR9LN844849     5074\n",
      "3HSDZTZR6LN065318     5051\n",
      "3HSDZTZR0LN437333     5039\n",
      "3HCDZTZR1ML681274     5030\n",
      "3HSDZTZR2LN075067     4976\n",
      "3HSDZTZR4KN547798     4961\n",
      "3HSDWTZR6LN844811     4957\n",
      "3HCDZTZR0ML681251     4932\n",
      "3HCDZTZRXLL056502     4924\n",
      "3HSDWTZR8LN845362     4916\n",
      "3HSDZTZR7LN630689     4896\n",
      "3HSDWTZR5LN844783     4891\n",
      "3HSDZTZR5KN140444     4878\n",
      "3HSDWTZR7LN064378     4869\n",
      "3HSDZTZR3LN164114     4843\n",
      "3HSDWTZR2LN845423     4830\n",
      "3HSDWTZR1LN845090     4809\n",
      "3HSDWTZR9LN810071     4794\n",
      "3HSDZTZR8KN537162     4773\n",
      "3HSDWTZR1LN887792     4749\n",
      "3HSDWTZRXKN315831     4736\n",
      "3HSDZTZR4LN822992     4710\n",
      "3HSDZTZR1LN081863     4708\n",
      "3HSDWTZR3LN845348     4694\n",
      "3HSDWTZR2LN844773     4681\n",
      "3HSDZTZR0LN384388     4663\n",
      "3HSDZTZR1LN125327     4653\n",
      "3HSDWTZRXLN844861     4614\n",
      "3HSDWTZR2LN845308     4612\n",
      "3HSDZTZR9LN055320     4596\n",
      "3HSDZTZR9LN085496     4568\n",
      "3HSDZTZR9KN136686     4556\n",
      "3HSDZTZR2LN112232     4550\n",
      "3HSDZTZR0KN354211     4539\n",
      "3HSDZTZR3LN852131     4535\n",
      "3HSDZTZR0LN630677     4533\n",
      "3HSDWTZR8LN845216     4532\n",
      "3HCDYTZN8LL296583     4489\n",
      "3HSDZTZR2LN817113     4475\n",
      "3HSDWTZR8LN845149     4466\n",
      "3HSDWTZR6LN854884     4460\n",
      "3HSDWTZRXLN845024     4455\n",
      "3HSDWTZR7LN844803     4434\n",
      "3HSDWTZR5LN845092     4426\n",
      "3HSDZTZR0KN279915     4421\n",
      "3HSDZTZR0LN062656     4417\n",
      "3HSDWTZR9LN845466     4402\n",
      "3HSDWTZR0LN845338     4399\n",
      "3HSDWTZR3LN211277     4393\n",
      "3HSDZTZR8LN139435     4387\n",
      "3HCDZTZR1LL158318     4377\n",
      "3HSDWTZR2LN854882     4361\n",
      "3HCDZTZR6LL833595     4356\n",
      "3HSDWTZR3KN308686     4349\n",
      "3HSDWTZR8KN308697     4345\n",
      "3HSDWTZR9LN845094     4343\n",
      "3HSDZTZRXLN443043     4325\n",
      "3HSDZTZR0LN291791     4324\n",
      "3HSDWTZR5LN845352     4321\n",
      "3HSDWTZRXKN310631     4313\n",
      "3HSDZTZR3LN054647     4313\n",
      "3HSDZTZR4KN227364     4291\n",
      "3HSDZTZR1LN290908     4273\n",
      "3HSDZTZR2LN630681     4260\n",
      "3HCDZTZR6LL833600     4256\n",
      "3HSDZTZR6LN056070     4242\n",
      "3HCDZTZR2LL070362     4233\n",
      "3HSDWTZR7LN810070     4232\n",
      "3HSDZTZR6LN112511     4228\n",
      "3HSDZTZR9KN352697     4211\n",
      "3HSDWTZR9LN845337     4210\n",
      "3HSDZTZR7KN314305     4205\n",
      "3HSDWTZR9KN310622     4204\n",
      "3HSDWTZR5LN845108     4185\n",
      "3HSDWTZR1LN845199     4181\n",
      "3HSDZTZR6KN540223     4177\n",
      "3HSDWTZR0LN844822     4169\n",
      "Name: vin, dtype: int64\n",
      "Number of values = 100\n",
      "Percentage of Missing values = 0.00 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "wmi\n",
      "3HS    433191\n",
      "3HC     71841\n",
      "1HS      9962\n",
      "Name: wmi, dtype: int64\n",
      "Number of values = 3\n",
      "Percentage of Missing values = 0.00 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "engine_cd\n",
      "TZ    514994\n",
      "Name: engine_cd, dtype: int64\n",
      "Number of values = 1\n",
      "Percentage of Missing values = 0.00 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "device_type\n",
      "Xirgo    414156\n",
      "N2       100838\n",
      "Name: device_type, dtype: int64\n",
      "Number of values = 2\n",
      "Percentage of Missing values = 0.00 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "msg_ts\n",
      "msg_ts has More than 106 values\n",
      "Number of values = 472918\n",
      "Percentage of Missing values = 0.00 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "vin_utc_key\n",
      "vin_utc_key has More than 106 values\n",
      "Number of values = 503424\n",
      "Percentage of Missing values = 0.00 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "packet_id\n",
      "36    514994\n",
      "Name: packet_id, dtype: int64\n",
      "Number of values = 1\n",
      "Percentage of Missing values = 0.00 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "reason_code\n",
      "9    514994\n",
      "Name: reason_code, dtype: int64\n",
      "Number of values = 1\n",
      "Percentage of Missing values = 0.00 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "script_version\n",
      "204.0    368108\n",
      "203.0      9777\n",
      "202.0      9196\n",
      "205.0      2488\n",
      "Name: script_version, dtype: int64\n",
      "Number of values = 4\n",
      "Percentage of Missing values = 24.35 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "deviceid\n",
      "173406713      33776\n",
      "173609885       9767\n",
      "190912-0002     6385\n",
      "190912-0010     6208\n",
      "190930-0104     6074\n",
      "200129-0308     5646\n",
      "173101356       5556\n",
      "172304411       5236\n",
      "190925-0048     5181\n",
      "191008-0057     5178\n",
      "190830-0128     5156\n",
      "190930-0120     5153\n",
      "190820-0094     5139\n",
      "173101835       4974\n",
      "191030-0107     4968\n",
      "191019-0067     4883\n",
      "173502918       4875\n",
      "173502526       4869\n",
      "173100734       4819\n",
      "180502617       4786\n",
      "191019-0061     4782\n",
      "172304208       4755\n",
      "190828-0133     4688\n",
      "173101045       4661\n",
      "172106709       4659\n",
      "172303105       4651\n",
      "173403603       4635\n",
      "173103744       4632\n",
      "173407376       4619\n",
      "173511297       4613\n",
      "190720-0099     4594\n",
      "172304180       4579\n",
      "172302416       4571\n",
      "173404340       4558\n",
      "173405767       4538\n",
      "180503386       4508\n",
      "180500129       4499\n",
      "172407237       4490\n",
      "180502953       4466\n",
      "190729-0230     4434\n",
      "172304488       4432\n",
      "190720-0091     4424\n",
      "173511724       4423\n",
      "173102863       4413\n",
      "172301384       4395\n",
      "173406114       4362\n",
      "173511248       4357\n",
      "173101443       4325\n",
      "173511364       4320\n",
      "191115-0040     4313\n",
      "172300794       4310\n",
      "172107479       4305\n",
      "172301945       4281\n",
      "173501805       4280\n",
      "173511306       4266\n",
      "190705-0188     4243\n",
      "173403726       4211\n",
      "180500300       4211\n",
      "191115-0035     4196\n",
      "173405742       4195\n",
      "173511477       4187\n",
      "172501043       4136\n",
      "172409433       4133\n",
      "173502990       4131\n",
      "173101778       4129\n",
      "180500323       4119\n",
      "172407933       4105\n",
      "172201914       4101\n",
      "173103073       4091\n",
      "172303011       4080\n",
      "172300632       4071\n",
      "173404679       4069\n",
      "172106430       4060\n",
      "173511493       4057\n",
      "173103076       4033\n",
      "173502468       4030\n",
      "172302291       4024\n",
      "173104829       4024\n",
      "180502072       4019\n",
      "173103913       4019\n",
      "173407203       4015\n",
      "173502509       4005\n",
      "172502479       4001\n",
      "173503925       4000\n",
      "173103580       3997\n",
      "192608020       3984\n",
      "180501226       3970\n",
      "173404992       3966\n",
      "173101751       3954\n",
      "173101817       3929\n",
      "173511871       3904\n",
      "180501458       3889\n",
      "173103873       3880\n",
      "172200480       3879\n",
      "172302772       3873\n",
      "192606648       3843\n",
      "172500680       3602\n",
      "172300721       3222\n",
      "172201012       3194\n",
      "173104028       3134\n",
      "192607076       3055\n",
      "190815-0009     2865\n",
      "172300092       2795\n",
      "190913-0132     2328\n",
      "172501784       2028\n",
      "Name: deviceid, dtype: int64\n",
      "Number of values = 105\n",
      "Percentage of Missing values = 5.29 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "latitude\n",
      "latitude has More than 106 values\n",
      "Number of values = 440731\n",
      "Percentage of Missing values = 5.30 %\n",
      "Percentage of Zero = 0.20 % \n",
      "\n",
      "longitude\n",
      "longitude has More than 106 values\n",
      "Number of values = 450452\n",
      "Percentage of Missing values = 5.29 %\n",
      "Percentage of Zero = 0.22 % \n",
      "\n",
      "driveridcode1\n",
      "0.0    487608\n",
      "Name: driveridcode1, dtype: int64\n",
      "Number of values = 1\n",
      "Percentage of Missing values = 5.32 %\n",
      "Percentage of Zero = 94.68 % \n",
      "\n",
      "obdvin\n",
      "3HSDZTZR5LN134290    33780\n",
      "1HSERTZRXLH809470     9766\n",
      "3HSDZTZRXLN395656     7016\n",
      "3HSDZTZRXLN085409     6449\n",
      "3HCDZTZR1LL880100     6387\n",
      "3HSDZTZR3LN154022     6264\n",
      "3HCDZTZR9LL880099     6210\n",
      "3HCDZTZR3LL880101     6059\n",
      "3HSDZTZR8KN398425     5917\n",
      "3HSDZTZR3MN096740     5646\n",
      "3HSDZTZR1KN174476     5544\n",
      "3HSDZTZR4LN056083     5256\n",
      "3HCDZTZR5LL880102     5182\n",
      "3HCDZTZR7LL880103     5173\n",
      "3HCDZTZR6ML684705     5172\n",
      "3HSDZTZR5LN164115     5171\n",
      "3HSDZTZR2LN230944     5126\n",
      "3HSDZTZR3KN315175     5014\n",
      "3HSDZTZR1LN871454     4975\n",
      "3HSDZTZR6LN056148     4896\n",
      "3HSDZTZR3LN833708     4858\n",
      "3HCDZTZR1ML681274     4843\n",
      "3HSDZTZR4KN126504     4830\n",
      "3HSDZTZR0LN880114     4771\n",
      "3HCDZTZR0ML681251     4763\n",
      "3HSDZTZR6LN065318     4761\n",
      "3HSDWTZR9LN844849     4683\n",
      "3HSDZTZR3LN164114     4669\n",
      "3HSDZTZR2LN075067     4658\n",
      "3HSDZTZR4KN547798     4657\n",
      "3HSDZTZR0LN437333     4654\n",
      "3HCDZTZRXLL056502     4646\n",
      "3HSDZTZR7LN630689     4634\n",
      "3HSDZTZR5KN140444     4620\n",
      "3HSDWTZR6LN844811     4607\n",
      "3HSDWTZR1LN887792     4606\n",
      "3HSDWTZR7LN064378     4572\n",
      "3HSDWTZR8LN845362     4551\n",
      "3HSDWTZR5LN844783     4538\n",
      "3HSDWTZR9LN810071     4514\n",
      "3HSDWTZR2LN845423     4490\n",
      "3HSDWTZR1LN845090     4473\n",
      "3HSDZTZR8KN537162     4449\n",
      "3HSDZTZR9LN085496     4443\n",
      "3HSDZTZR1LN081863     4436\n",
      "3HSDWTZRXKN315831     4415\n",
      "3HSDZTZR4LN822992     4409\n",
      "3HSDZTZR0LN384388     4408\n",
      "3HSDZTZR3LN852131     4399\n",
      "3HSDWTZR2LN844773     4346\n",
      "3HCDYTZN8LL296583     4341\n",
      "3HSDWTZR3LN845348     4340\n",
      "3HSDZTZR9KN136686     4334\n",
      "3HSDZTZR2LN112232     4322\n",
      "3HSDWTZR6LN854884     4309\n",
      "3HSDWTZR2LN845308     4307\n",
      "3HSDZTZR9LN055320     4301\n",
      "3HSDWTZRXLN844861     4294\n",
      "3HSDZTZR1LN125327     4271\n",
      "3HSDZTZR0KN354211     4247\n",
      "3HSDWTZR3LN211277     4240\n",
      "3HSDWTZR8LN845216     4228\n",
      "3HSDZTZR0LN630677     4216\n",
      "3HSDWTZR2LN854882     4207\n",
      "3HSDZTZR2LN817113     4207\n",
      "3HSDZTZR8LN139435     4187\n",
      "3HSDZTZR0LN062656     4153\n",
      "3HSDWTZR7LN844803     4128\n",
      "3HSDZTZR0KN279915     4127\n",
      "3HSDWTZRXLN845024     4121\n",
      "3HSDWTZR8LN845149     4119\n",
      "3HSDZTZR6LN056070     4096\n",
      "3HSDWTZR9LN845466     4091\n",
      "3HSDWTZR5LN845092     4086\n",
      "3HSDZTZR4KN227364     4084\n",
      "3HSDZTZR0LN291791     4078\n",
      "3HCDZTZR1LL158318     4075\n",
      "3HSDZTZRXLN443043     4064\n",
      "3HSDWTZR0LN845338     4061\n",
      "3HCDZTZR6LL833595     4038\n",
      "3HSDWTZR8KN308697     4038\n",
      "3HSDWTZR9LN845094     4024\n",
      "3HCDZTZR2LL070362     4023\n",
      "3HSDZTZR1LN290908     4012\n",
      "3HSDWTZRXKN310631     4002\n",
      "3HSDZTZR6LN112511     3999\n",
      "3HSDWTZR5LN845352     3997\n",
      "3HSDZTZR2LN630681     3992\n",
      "3HSDZTZR3LN054647     3992\n",
      "3HSDZTZR7KN314305     3977\n",
      "3HSDWTZR7LN810070     3977\n",
      "3HSDWTZR3KN308686     3974\n",
      "3HCDZTZR6LL833600     3974\n",
      "3HSDZTZR6KN540223     3967\n",
      "3HSDZTZR9KN352697     3950\n",
      "3HSDWTZR1LN845199     3901\n",
      "3HSDWTZR9LN845337     3899\n",
      "3HSDWTZR9KN310622     3893\n",
      "3HSDWTZR0LN844822     3864\n",
      "3HSDWTZR5LN845108     3856\n",
      "Name: obdvin, dtype: int64\n",
      "Number of values = 100\n",
      "Percentage of Missing values = 5.30 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "vehiclebattvolts\n",
      "14.10    138277\n",
      "14.00    100141\n",
      "14.20     76251\n",
      "13.90     47612\n",
      "13.80     28677\n",
      "14.30     12883\n",
      "13.70     12407\n",
      "13.85     11797\n",
      "14.05      8718\n",
      "13.95      6701\n",
      "13.75      6289\n",
      "13.60      2924\n",
      "13.65      1341\n",
      "13.50       971\n",
      "14.40       817\n",
      "13.40       578\n",
      "14.15       371\n",
      "13.30       301\n",
      "13.55       234\n",
      "13.20       218\n",
      "13.10       117\n",
      "13.00        65\n",
      "12.90        42\n",
      "13.45        25\n",
      "12.80        25\n",
      "12.70        23\n",
      "12.60        11\n",
      "12.40         6\n",
      "12.50         5\n",
      "12.85         4\n",
      "13.15         4\n",
      "12.20         3\n",
      "14.50         3\n",
      "12.35         2\n",
      "12.65         2\n",
      "12.95         2\n",
      "13.35         2\n",
      "11.60         1\n",
      "12.30         1\n",
      "12.10         1\n",
      "11.80         1\n",
      "14.80         1\n",
      "14.60         1\n",
      "13.25         1\n",
      "Name: vehiclebattvolts, dtype: int64\n",
      "Number of values = 44\n",
      "Percentage of Missing values = 11.09 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "fuel_total\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fuel_total has More than 106 values\n",
      "Number of values = 153159\n",
      "Percentage of Missing values = 11.81 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "engine_rpm\n",
      "engine_rpm has More than 106 values\n",
      "Number of values = 1529\n",
      "Percentage of Missing values = 0.00 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "coolant_tmp\n",
      "coolant_tmp has More than 106 values\n",
      "Number of values = 108\n",
      "Percentage of Missing values = 11.10 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "fuel_lvl_pct\n",
      "100.0    51886\n",
      "99.0     23172\n",
      "66.0     15157\n",
      "74.0     13080\n",
      "92.0     10477\n",
      "34.0      9252\n",
      "72.0      8726\n",
      "68.0      7735\n",
      "60.0      6998\n",
      "79.0      6900\n",
      "47.0      6549\n",
      "80.0      6346\n",
      "54.0      6247\n",
      "86.0      6093\n",
      "53.0      5931\n",
      "48.0      5555\n",
      "93.0      5292\n",
      "59.0      5208\n",
      "40.0      5042\n",
      "41.0      4108\n",
      "62.0      3994\n",
      "28.0      3912\n",
      "76.0      3841\n",
      "87.0      3786\n",
      "64.0      3728\n",
      "90.0      3686\n",
      "70.0      3582\n",
      "85.0      2922\n",
      "44.0      2147\n",
      "78.0      1929\n",
      "88.0      1851\n",
      "26.0      1666\n",
      "46.0      1569\n",
      "98.0      1558\n",
      "21.0      1555\n",
      "22.0      1113\n",
      "81.0      1093\n",
      "77.0      1024\n",
      "52.0      1009\n",
      "84.0       993\n",
      "97.0       986\n",
      "58.0       875\n",
      "83.0       873\n",
      "82.0       852\n",
      "94.0       845\n",
      "15.0       826\n",
      "96.0       816\n",
      "55.0       792\n",
      "89.0       739\n",
      "95.0       690\n",
      "36.0       664\n",
      "57.0       662\n",
      "39.0       639\n",
      "49.0       622\n",
      "56.0       591\n",
      "50.0       550\n",
      "51.0       533\n",
      "29.0       458\n",
      "42.0       453\n",
      "20.0       448\n",
      "32.0       401\n",
      "14.0       378\n",
      "38.0       359\n",
      "37.0       329\n",
      "31.0       257\n",
      "30.0       207\n",
      "25.0       190\n",
      "23.0       162\n",
      "16.0       162\n",
      "24.0       147\n",
      "8.0        100\n",
      "10.0        70\n",
      "17.0        69\n",
      "7.0         68\n",
      "18.0        53\n",
      "45.0        31\n",
      "61.0        31\n",
      "43.0        24\n",
      "12.0        23\n",
      "11.0        23\n",
      "33.0        17\n",
      "35.0        17\n",
      "4.0         11\n",
      "27.0        11\n",
      "91.0         8\n",
      "2.0          7\n",
      "75.0         7\n",
      "71.0         6\n",
      "69.0         6\n",
      "19.0         5\n",
      "6.0          5\n",
      "63.0         3\n",
      "73.0         2\n",
      "5.0          2\n",
      "13.0         2\n",
      "67.0         1\n",
      "65.0         1\n",
      "Name: fuel_lvl_pct, dtype: int64\n",
      "Number of values = 97\n",
      "Percentage of Missing values = 46.83 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "driving_tme_sec\n",
      "driving_tme_sec has More than 106 values\n",
      "Number of values = 49290\n",
      "Percentage of Missing values = 81.86 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "cruise_tme_sec\n",
      "Series([], Name: cruise_tme_sec, dtype: int64)\n",
      "Number of values = 0\n",
      "Percentage of Missing values = 100.00 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "idle_tme_sec\n",
      "idle_tme_sec has More than 106 values\n",
      "Number of values = 23621\n",
      "Percentage of Missing values = 11.88 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "idle_fuel_total\n",
      "idle_fuel_total has More than 106 values\n",
      "Number of values = 4148\n",
      "Percentage of Missing values = 11.92 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "pto_tme_total\n",
      "pto_tme_total has More than 106 values\n",
      "Number of values = 601\n",
      "Percentage of Missing values = 11.90 %\n",
      "Percentage of Zero = 81.65 % \n",
      "\n",
      "pto_fuel_total\n",
      "pto_fuel_total has More than 106 values\n",
      "Number of values = 461\n",
      "Percentage of Missing values = 11.92 %\n",
      "Percentage of Zero = 82.38 % \n",
      "\n",
      "gear\n",
      "1.0    401218\n",
      "3.0     31642\n",
      "2.0      2523\n",
      "0.0      2311\n",
      "Name: gear, dtype: int64\n",
      "Number of values = 4\n",
      "Percentage of Missing values = 15.01 %\n",
      "Percentage of Zero = 0.45 % \n",
      "\n",
      "fuel_tmp\n",
      " 0.0     364034\n",
      "-40.0       388\n",
      "Name: fuel_tmp, dtype: int64\n",
      "Number of values = 2\n",
      "Percentage of Missing values = 29.24 %\n",
      "Percentage of Zero = 70.69 % \n",
      "\n",
      "oil_tmpl\n",
      "oil_tmpl has More than 106 values\n",
      "Number of values = 121\n",
      "Percentage of Missing values = 11.08 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "throt_pos\n",
      "0.0      244172\n",
      "100.0     92048\n",
      "58.0       2036\n",
      "56.0       2011\n",
      "64.0       1976\n",
      "52.0       1974\n",
      "62.0       1963\n",
      "60.0       1963\n",
      "54.0       1904\n",
      "68.0       1849\n",
      "66.0       1846\n",
      "50.0       1793\n",
      "48.0       1720\n",
      "46.0       1697\n",
      "98.0       1651\n",
      "70.0       1637\n",
      "99.0       1637\n",
      "76.0       1634\n",
      "44.0       1594\n",
      "78.0       1583\n",
      "72.0       1571\n",
      "74.0       1570\n",
      "42.0       1562\n",
      "84.0       1554\n",
      "80.0       1527\n",
      "82.0       1507\n",
      "96.0       1482\n",
      "40.0       1453\n",
      "94.0       1438\n",
      "92.0       1423\n",
      "32.0       1414\n",
      "90.0       1402\n",
      "86.0       1399\n",
      "22.0       1390\n",
      "38.0       1388\n",
      "18.0       1373\n",
      "16.0       1367\n",
      "34.0       1359\n",
      "88.0       1353\n",
      "24.0       1347\n",
      "36.0       1340\n",
      "59.0       1329\n",
      "20.0       1324\n",
      "61.0       1316\n",
      "28.0       1307\n",
      "26.0       1306\n",
      "53.0       1305\n",
      "30.0       1294\n",
      "63.0       1283\n",
      "69.0       1277\n",
      "67.0       1276\n",
      "57.0       1276\n",
      "65.0       1242\n",
      "55.0       1224\n",
      "14.0       1209\n",
      "51.0       1199\n",
      "75.0       1140\n",
      "47.0       1134\n",
      "45.0       1113\n",
      "71.0       1111\n",
      "43.0       1095\n",
      "49.0       1095\n",
      "73.0       1094\n",
      "97.0       1054\n",
      "77.0       1048\n",
      "12.0       1020\n",
      "2.0         999\n",
      "41.0        987\n",
      "39.0        983\n",
      "83.0        981\n",
      "81.0        955\n",
      "79.0        954\n",
      "35.0        949\n",
      "21.0        946\n",
      "95.0        941\n",
      "37.0        932\n",
      "31.0        924\n",
      "87.0        923\n",
      "27.0        917\n",
      "91.0        904\n",
      "85.0        902\n",
      "25.0        900\n",
      "93.0        891\n",
      "33.0        887\n",
      "19.0        886\n",
      "29.0        870\n",
      "17.0        855\n",
      "89.0        850\n",
      "23.0        840\n",
      "15.0        834\n",
      "4.0         823\n",
      "10.0        813\n",
      "8.0         792\n",
      "13.0        774\n",
      "6.0         693\n",
      "11.0        647\n",
      "9.0         594\n",
      "3.0         592\n",
      "5.0         457\n",
      "7.0         456\n",
      "1.0         344\n",
      "Name: throt_pos, dtype: int64\n",
      "Number of values = 101\n",
      "Percentage of Missing values = 11.07 %\n",
      "Percentage of Zero = 47.41 % \n",
      "\n",
      "mpg\n",
      "Series([], Name: mpg, dtype: int64)\n",
      "Number of values = 0\n",
      "Percentage of Missing values = 100.00 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "acel_pos\n",
      "0.0     363205\n",
      "96.0       957\n",
      "46.0       103\n",
      "1.0         99\n",
      "14.0        29\n",
      "97.0        12\n",
      "42.0         9\n",
      "40.0         8\n",
      "38.0         6\n",
      "33.0         4\n",
      "Name: acel_pos, dtype: int64\n",
      "Number of values = 10\n",
      "Percentage of Missing values = 29.24 %\n",
      "Percentage of Zero = 70.53 % \n",
      "\n",
      "engine_pct_load\n",
      "engine_pct_load has More than 106 values\n",
      "Number of values = 128\n",
      "Percentage of Missing values = 7.59 %\n",
      "Percentage of Zero = 9.94 % \n",
      "\n",
      "torque\n",
      "torque has More than 106 values\n",
      "Number of values = 114\n",
      "Percentage of Missing values = 7.70 %\n",
      "Percentage of Zero = 9.98 % \n",
      "\n",
      "oil_lvl\n",
      "0.0    364709\n",
      "Name: oil_lvl, dtype: int64\n",
      "Number of values = 1\n",
      "Percentage of Missing values = 29.18 %\n",
      "Percentage of Zero = 70.82 % \n",
      "\n",
      "oil_psi\n",
      "oil_psi has More than 106 values\n",
      "Number of values = 231\n",
      "Percentage of Missing values = 11.08 %\n",
      "Percentage of Zero = 0.01 % \n",
      "\n",
      "coolant_psi\n",
      "0.0    364519\n",
      "Name: coolant_psi, dtype: int64\n",
      "Number of values = 1\n",
      "Percentage of Missing values = 29.22 %\n",
      "Percentage of Zero = 70.78 % \n",
      "\n",
      "intak_air_tmp\n",
      " 19.0    20963\n",
      " 21.0    20667\n",
      " 22.0    20582\n",
      " 23.0    20340\n",
      " 20.0    20113\n",
      " 18.0    19764\n",
      " 24.0    19235\n",
      " 17.0    18950\n",
      " 16.0    17748\n",
      " 15.0    17101\n",
      " 14.0    16550\n",
      " 13.0    15402\n",
      " 26.0    15008\n",
      " 25.0    14776\n",
      " 27.0    14097\n",
      " 12.0    14034\n",
      " 11.0    13048\n",
      " 28.0    12866\n",
      " 10.0    11951\n",
      " 29.0    10856\n",
      " 30.0    10850\n",
      " 9.0     10643\n",
      " 31.0    10214\n",
      " 8.0      8899\n",
      " 32.0     8462\n",
      " 33.0     8071\n",
      " 7.0      7388\n",
      " 34.0     7015\n",
      " 6.0      5996\n",
      " 35.0     5689\n",
      " 5.0      4749\n",
      " 36.0     4498\n",
      " 37.0     4146\n",
      " 4.0      3782\n",
      " 38.0     3321\n",
      " 3.0      3040\n",
      " 39.0     2414\n",
      " 2.0      2015\n",
      " 0.0      1749\n",
      " 40.0     1736\n",
      " 1.0      1559\n",
      " 41.0     1415\n",
      " 42.0     1093\n",
      " 43.0      825\n",
      " 44.0      592\n",
      "-2.0       566\n",
      " 45.0      508\n",
      "-3.0       396\n",
      " 46.0      354\n",
      "-4.0       307\n",
      "-5.0       261\n",
      " 47.0      249\n",
      "-6.0       216\n",
      "-1.0       171\n",
      " 48.0      151\n",
      "-7.0       142\n",
      " 49.0      115\n",
      "-8.0        89\n",
      "-9.0        77\n",
      " 50.0       65\n",
      "-10.0       53\n",
      " 51.0       52\n",
      " 52.0       44\n",
      "-11.0       34\n",
      " 55.0       27\n",
      " 54.0       24\n",
      "-13.0       21\n",
      "-12.0       19\n",
      " 53.0       18\n",
      "-14.0       14\n",
      " 56.0       13\n",
      "-15.0       12\n",
      " 57.0       12\n",
      "-16.0       10\n",
      " 58.0        7\n",
      " 61.0        5\n",
      " 59.0        3\n",
      "-18.0        3\n",
      "-17.0        3\n",
      "-19.0        3\n",
      "-20.0        2\n",
      " 60.0        2\n",
      " 63.0        2\n",
      " 64.0        1\n",
      "-21.0        1\n",
      " 66.0        1\n",
      " 62.0        1\n",
      " 65.0        1\n",
      "Name: intak_air_tmp, dtype: int64\n",
      "Number of values = 88\n",
      "Percentage of Missing values = 11.02 %\n",
      "Percentage of Zero = 0.34 % \n",
      "\n",
      "manifold_tmp\n",
      " 38.0    19878\n",
      " 37.0    19841\n",
      " 40.0    19825\n",
      " 36.0    19392\n",
      " 39.0    19216\n",
      " 41.0    18775\n",
      " 35.0    18709\n",
      " 34.0    17996\n",
      " 42.0    17873\n",
      " 33.0    16779\n",
      " 43.0    16347\n",
      " 32.0    15502\n",
      " 44.0    15232\n",
      " 45.0    14133\n",
      " 31.0    14063\n",
      " 30.0    12688\n",
      " 46.0    12676\n",
      " 47.0    11666\n",
      " 48.0    10684\n",
      " 29.0    10484\n",
      " 49.0     9557\n",
      " 28.0     9264\n",
      " 50.0     8528\n",
      " 27.0     8356\n",
      " 26.0     7404\n",
      " 51.0     7197\n",
      " 25.0     6522\n",
      " 52.0     6208\n",
      " 24.0     5750\n",
      " 53.0     5485\n",
      " 23.0     5204\n",
      " 54.0     4734\n",
      " 22.0     4560\n",
      " 55.0     4292\n",
      " 21.0     3886\n",
      " 56.0     3578\n",
      " 20.0     3359\n",
      " 57.0     3137\n",
      " 58.0     2728\n",
      " 59.0     2297\n",
      " 19.0     2213\n",
      " 18.0     2053\n",
      " 17.0     1758\n",
      " 60.0     1726\n",
      " 16.0     1696\n",
      " 61.0     1418\n",
      " 15.0     1418\n",
      " 62.0     1187\n",
      " 14.0     1182\n",
      " 63.0     1099\n",
      " 13.0     1003\n",
      " 64.0      875\n",
      " 65.0      828\n",
      " 12.0      790\n",
      " 66.0      763\n",
      " 11.0      714\n",
      " 10.0      580\n",
      " 67.0      452\n",
      " 9.0       440\n",
      " 68.0      407\n",
      " 8.0       348\n",
      " 69.0      342\n",
      " 70.0      253\n",
      " 7.0       247\n",
      " 6.0       225\n",
      " 5.0       171\n",
      " 71.0      147\n",
      " 4.0       136\n",
      " 3.0       109\n",
      " 72.0       79\n",
      " 2.0        66\n",
      " 1.0        51\n",
      " 0.0        48\n",
      " 73.0       48\n",
      " 74.0       25\n",
      " 75.0       23\n",
      " 76.0       14\n",
      "-2.0        11\n",
      "-3.0        10\n",
      " 77.0        9\n",
      " 78.0        7\n",
      "-5.0         6\n",
      "-7.0         5\n",
      "-1.0         4\n",
      "-4.0         3\n",
      " 81.0        3\n",
      "-6.0         3\n",
      " 79.0        2\n",
      " 80.0        2\n",
      "-9.0         2\n",
      " 84.0        2\n",
      " 82.0        1\n",
      "-8.0         1\n",
      "-11.0        1\n",
      "Name: manifold_tmp, dtype: int64\n",
      "Number of values = 94\n",
      "Percentage of Missing values = 10.91 %\n",
      "Percentage of Zero = 0.01 % \n",
      "\n",
      "vehiclespeed\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "vehiclespeed has More than 106 values\n",
      "Number of values = 1332\n",
      "Percentage of Missing values = 5.31 %\n",
      "Percentage of Zero = 7.54 % \n",
      "\n",
      "heading\n",
      "heading has More than 106 values\n",
      "Number of values = 3599\n",
      "Percentage of Missing values = 8.13 %\n",
      "Percentage of Zero = 0.00 % \n",
      "\n",
      "odometerinmeters\n",
      "odometerinmeters has More than 106 values\n",
      "Number of values = 445613\n",
      "Percentage of Missing values = 5.28 %\n",
      "Percentage of Zero = 0.03 % \n",
      "\n",
      "odometer\n",
      "odometer has More than 106 values\n",
      "Number of values = 9400\n",
      "Percentage of Missing values = 97.98 %\n",
      "Percentage of Zero = 0.05 % \n",
      "\n"
     ]
    }
   ],
   "source": [
    "print('Total rows = {} \\n'.format(len(data)))\n",
    "\n",
    "for i in data.columns:   #lets see value counts in each column, print value & count if unique value < 106 (105 in deviceid)\n",
    "    \n",
    "    print('{}'.format(i))\n",
    "    \n",
    "    if len(data[i].value_counts())<106:\n",
    "        print(data[i].value_counts())\n",
    "        \n",
    "    else:\n",
    "        print(\"{} has More than 106 values\".format(i))\n",
    "        \n",
    "    print('Number of values =', data[i].nunique())   #Unique values\n",
    "    print('Percentage of Missing values = %.2f'%(data[i].isnull().sum()/len(data) * 100), '%')  #Missing value percentage\n",
    "    print('Percentage of Zero = %.2f'%(np.shape(np.where(data[i]==0))[1] / len(data) * 100), '%', '\\n') #percetnage of 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# data.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Variables\n",
    "\n",
    "    year - Year when data was captured, \n",
    "    month - Month when data was captured,\n",
    "    day - Day when data was captured,\n",
    "    \n",
    "    vin - Vehicle identification Number - all in range of 4k-9k except 3HSDZTZR5LN134290(34k),\n",
    "    \n",
    "    wmi - World Manufacturer Identifier - manufacturer identification,\n",
    "    engine_cd - I dont understand what exactly it is - can be Diesel engine registration plate details (country)-anyway only one value TZ- leave it like that,\n",
    "    \n",
    "    device_type - N2 and Xirgo are the types - they are basically communication / tracking equipment,\n",
    "    \n",
    "    msg_ts - its the time stamp,\n",
    "    \n",
    "    vin_utc_key - this looks like the concatenation of VIN number and the timestamp,\n",
    "    packet_id - I dont understand what exactly it is - it is 36 for all values - not to be bothered much,\n",
    "    reason_code - I dont understand what exactly it is - it is 9 for all values - not to be bothered much,\n",
    "    script_version - no idea about this, 4 values, 24% missing values,\n",
    "    \n",
    "    deviceid  - 105 distinct values , 5 more than VIN, this might be the id of the communication device, the more number might be due to any replacement of device or more than one device in a truck,\n",
    "    \n",
    "    latitude -  Vehicles location indicating factor,\n",
    "    longitude - Vehicles location indicating factor,\n",
    "    driveridcode1 - The value is 0, not to be bothered about this variable,\n",
    "    obdvin - This is same as the VIN but some values are missing here,\n",
    "    \n",
    "   ### Engine Features\n",
    "   \n",
    "    vehiclebattvolts - The battery voltage, its in range of 11-15,\n",
    "    \n",
    "    fuel_total - fuel consumed so far by the truck (high consumption means high usage),\n",
    "    \n",
    "    mengine_rpm - RPM of the engine at the observation time (too high engine RPM during shifting is an indicator of some issue in engine), RPM can indicate speed as well,\n",
    "    \n",
    "    coolant_tmp - Temperature of Coolant (High coolant temperature indicates engine overheating problem),\n",
    "    \n",
    "    fuel_lvl_pct - Level of fuel in the tank, not much of importance in engine behaviour - 40 % missing values,\n",
    "    driving_tme_sec - seems somewhat correlated to fuel total, so it might be driving time so far, 80 % missing values, better not to use this,\n",
    "    cruise_tme_sec - 100% missing values, really dont understand what it is, might be time when truck becomes a cruise ship, just kidding,\n",
    "    idle_tme_sec - time for which the truck was ideal,\n",
    "    idle_fuel_total - fuel consumed during ideal time, both seems like correlated,\n",
    "    pto_tme_total - what is pto??? , anyway 11% missing values and values available are mostly 0 (81%), not to be bothered about this variable,\n",
    "    pto_fuel_total -  the fuel consumed so far during pto_tme_total,\n",
    "    gear - gear at time of observation , 15% missing values, 77% gear 1 and i dont know what is gear 0, anyhow doesnt seem like a predictive variable,\n",
    "    fuel_tmp - 29% missing values, 70% with temperature as 0, others with temp -40, this is interesting\n",
    "    \n",
    "    oil_tmpl - This is the temperature of the oil in degree celcius it seems, seems like it has some predictive power (oil temp affects the overall performance of engine - in ideal case \"oil temperature should be a few degrees warmer than the coolant. If the oil temperature is too high, problems can arise\")\n",
    "    \n",
    "    throt_pos - throttle valve position in internal combustion engines. The ignition timing and fuel injection timing (and potentially other parameters) are altered depending on the position of the throttle valve, and also depending on the rate of change of that position\n",
    "    \n",
    "    mpg - 100% missing values, leave the variable\n",
    "    acel_pos - 29% missing values and 70% 0 , not predictive in nature,\n",
    "    engine_pct_load - Engine load % is normally a comparison of the actual engine output torque to the maximum engine output torque at the current engine operating speed\n",
    "    \n",
    "    torque - Torque is a twisting force that speaks to the engine's rotational force and measures how much of that twisting force is available when an engine exerts itself\n",
    "    \n",
    "    oil_lvl - 30% missing values and 70% zeroes, not predictive in nature,\n",
    "    \n",
    "    oil_psi - oil pressure, oil pressure gauge should read somewhere between 25 to 65 PSI while the engine is running\n",
    "        High oil pressure -higher (think 80+ PSI), then you’ve got yourself a problem with high oil pressure. When this happens, it disrupts the ability of your engine to function correctly.  More consistent pressure there is, the more strain there is on the engine and its components. On a low end, you might have to replace a part or two or have your oil passages cleaned. On the high end, a cracked engine block or blown head gasket.\n",
    "        Low oil pressure - Low oil pressure indicates insufficient lubrication is being provided to the motor. A reading less than 20 PSI or under the normal range on the gauge is cause for immediate attention. The problem could be as simple as a low oil level or a signal of serious engine problems.\n",
    "    \n",
    "    coolant_psi - Coolant pressure - Depending on the model, this pressure can range from 4 to 30psi (30 to 200 kPa). The pressure relief valve allows excess pressure to escape when the system pressure increases with the temperature, 30% missing values and 70% zeroes, not predictive in nature,\n",
    "    \n",
    "    intak_air_tmp - temperature of the intaken air by engine, Higher intake air temperatures impact the emissions of THC,\n",
    "    \n",
    "    manifold_tmp - manifold temperature - temperature of the air inside the intake manifold - an inlet manifold or consumption manifold is the factor of an engine that transports the airfuel combination to the engine cylinders. The main cause of the intake manifold is to calmly distribute the combustion mixture to each intake port of the engine cylinder. The intake manifold is crucial for the most useful overall performance of an internal combustion engine.\n",
    "        effect of air intake temperature is dominant at higher engine speed compared with lower engine speed. The higher air intake temperature results in lower oxygen concentration will lead to a negative effect on the combustion rate, hence on the performance, means a maintenance is required. the data also looks fine, a variable to consider\n",
    "    \n",
    "    vehiclespeed -  speed of the vehicle, another good variable to consider\n",
    "    \n",
    "    heading - No idea - might be distance travelled in the current run as values are not degree, and looks like distance\n",
    "    \n",
    "    odometerinmeters - Reading of Odometer in meters\n",
    "\n",
    "    odometer - reading of Odometer in km"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## After having an understanding of the data and As conveyed by Dr. Dmitry, lets look at variables which are important. \n",
    "\n",
    "\n",
    "### Time series variable, vehicle ID & Device features\n",
    "1. msg_ts\n",
    "2. vin\n",
    "3. device_type\n",
    "4. deviceid\n",
    "\n",
    "### Engine behaviour variables\n",
    "1. fuel_total\n",
    "2. engine_rpm\n",
    "3. coolant_tmp\n",
    "4. oil_tmpl\n",
    "5. throt_pos\n",
    "6. torque\n",
    "7. oil_psi\n",
    "8. manifold_tmp\n",
    "9. vehiclespeed\n",
    "10. odometerinmeters"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Data frame with important variables only\n",
    "\n",
    "df = pd.DataFrame(data, columns = ['msg_ts','vin','device_type','deviceid','fuel_total','engine_rpm','coolant_tmp',\n",
    "                                'oil_tmpl','throt_pos','torque','oil_psi','manifold_tmp','vehiclespeed','odometerinmeters'])\n",
    "\n",
    "\n",
    "\n",
    "# lets not use device type and device id \n",
    "# df = pd.DataFrame(data, columns = ['msg_ts','vin','fuel_total','engine_rpm','coolant_tmp','oil_tmpl',\n",
    "#                        'throt_pos','torque','oil_psi','manifold_tmp','vehiclespeed','odometerinmeters'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Have to confirm with Dr Dmitry about using device_type and Id in dataframe. VIN might be enough as we are monitoring vehicle wise."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>msg_ts</th>\n",
       "      <th>vin</th>\n",
       "      <th>device_type</th>\n",
       "      <th>deviceid</th>\n",
       "      <th>fuel_total</th>\n",
       "      <th>engine_rpm</th>\n",
       "      <th>coolant_tmp</th>\n",
       "      <th>oil_tmpl</th>\n",
       "      <th>throt_pos</th>\n",
       "      <th>torque</th>\n",
       "      <th>oil_psi</th>\n",
       "      <th>manifold_tmp</th>\n",
       "      <th>vehiclespeed</th>\n",
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       "      <th>0</th>\n",
       "      <td>2020-04-18 06:50:40</td>\n",
       "      <td>3HSDZTZR9KN352697</td>\n",
       "      <td>Xirgo</td>\n",
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       "      <td>1005.0</td>\n",
       "      <td>380663000.0</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2020-05-20 03:01:09</td>\n",
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       "      <td>86.0</td>\n",
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       "      <td>19.0</td>\n",
       "      <td>424.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>1095.0</td>\n",
       "      <td>426460520.0</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2020-04-07 20:14:07</td>\n",
       "      <td>3HSDZTZRXLN085409</td>\n",
       "      <td>N2</td>\n",
       "      <td>190815-0009</td>\n",
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       "      <td>2020-05-11 15:30:59</td>\n",
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       "      <td>Xirgo</td>\n",
       "      <td>172304208</td>\n",
       "      <td>83040.0</td>\n",
       "      <td>601.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>148.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>295970500.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514991</th>\n",
       "      <td>2020-05-09 11:12:30</td>\n",
       "      <td>3HSDWTZR5LN845352</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>173407203</td>\n",
       "      <td>140542.0</td>\n",
       "      <td>1369.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>92.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>328.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>417229440.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514992</th>\n",
       "      <td>2020-04-16 04:27:08</td>\n",
       "      <td>3HSDZTZR5LN134290</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>173406713</td>\n",
       "      <td>86642.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>11.0</td>\n",
       "      <td>248.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>274880000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>514993</th>\n",
       "      <td>2020-04-18 13:15:09</td>\n",
       "      <td>3HSDZTZR4KN547798</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>173101045</td>\n",
       "      <td>92497.0</td>\n",
       "      <td>1146.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>328.0</td>\n",
       "      <td>24.0</td>\n",
       "      <td>1002.0</td>\n",
       "      <td>333465420.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>514994 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     msg_ts                vin device_type     deviceid  \\\n",
       "0       2020-04-18 06:50:40  3HSDZTZR9KN352697       Xirgo    173101817   \n",
       "1       2020-05-20 03:01:09  3HSDZTZR9LN055320       Xirgo    172301945   \n",
       "2       2020-04-01 20:02:39  3HSDZTZR0KN354211       Xirgo    173511306   \n",
       "3       2020-05-05 06:17:36  3HSDWTZR8LN845362       Xirgo    173404340   \n",
       "4       2020-04-07 20:14:07  3HSDZTZRXLN085409          N2  190815-0009   \n",
       "...                     ...                ...         ...          ...   \n",
       "514989  2020-04-29 12:06:30  3HSDZTZR1LN125327       Xirgo    172300794   \n",
       "514990  2020-05-11 15:30:59  3HSDZTZR6LN065318       Xirgo    172304208   \n",
       "514991  2020-05-09 11:12:30  3HSDWTZR5LN845352       Xirgo    173407203   \n",
       "514992  2020-04-16 04:27:08  3HSDZTZR5LN134290       Xirgo    173406713   \n",
       "514993  2020-04-18 13:15:09  3HSDZTZR4KN547798       Xirgo    173101045   \n",
       "\n",
       "        fuel_total  engine_rpm  coolant_tmp  oil_tmpl  throt_pos  torque  \\\n",
       "0         106165.0      1144.0         79.0      76.0        0.0    12.0   \n",
       "1              NaN       584.0         61.0      56.0        1.0    11.0   \n",
       "2         113134.0      1145.0         81.0       NaN        0.0    42.0   \n",
       "3         149410.0      1368.0         81.0      86.0        0.0    19.0   \n",
       "4          33886.0      1167.0         82.0      88.0        0.0    67.0   \n",
       "...            ...         ...          ...       ...        ...     ...   \n",
       "514989     95643.0      1165.0          NaN      86.0      100.0    59.0   \n",
       "514990     83040.0       601.0          NaN      80.0        0.0    10.0   \n",
       "514991    140542.0      1369.0         84.0      92.0        0.0    86.0   \n",
       "514992     86642.0      1000.0         95.0     101.0        0.0    11.0   \n",
       "514993     92497.0      1146.0         80.0      80.0        0.0    38.0   \n",
       "\n",
       "        oil_psi  manifold_tmp  vehiclespeed  odometerinmeters  \n",
       "0         340.0          10.0        1005.0       380663000.0  \n",
       "1         228.0           NaN          11.0        88781990.0  \n",
       "2         320.0           NaN           NaN       416436440.0  \n",
       "3         424.0          30.0        1095.0       426460520.0  \n",
       "4         320.0           NaN        1090.0       107975440.0  \n",
       "...         ...           ...           ...               ...  \n",
       "514989    288.0          35.0        1095.0       278538120.0  \n",
       "514990    148.0          67.0           0.0       295970500.0  \n",
       "514991    328.0           NaN           NaN       417229440.0  \n",
       "514992    248.0           NaN           0.0       274880000.0  \n",
       "514993    328.0          24.0        1002.0       333465420.0  \n",
       "\n",
       "[514994 rows x 14 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>fuel_total</th>\n",
       "      <td>454170.0</td>\n",
       "      <td>7.267131e+04</td>\n",
       "      <td>4.471582e+04</td>\n",
       "      <td>1.0</td>\n",
       "      <td>40812.0</td>\n",
       "      <td>68874.0</td>\n",
       "      <td>94454.0</td>\n",
       "      <td>257814.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>engine_rpm</th>\n",
       "      <td>514994.0</td>\n",
       "      <td>1.162784e+03</td>\n",
       "      <td>2.508765e+02</td>\n",
       "      <td>458.0</td>\n",
       "      <td>1098.0</td>\n",
       "      <td>1198.0</td>\n",
       "      <td>1326.0</td>\n",
       "      <td>8191.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>coolant_tmp</th>\n",
       "      <td>457846.0</td>\n",
       "      <td>8.055149e+01</td>\n",
       "      <td>7.013731e+00</td>\n",
       "      <td>-40.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>103.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oil_tmpl</th>\n",
       "      <td>457956.0</td>\n",
       "      <td>8.614560e+01</td>\n",
       "      <td>9.936019e+00</td>\n",
       "      <td>-273.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>88.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>114.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>throt_pos</th>\n",
       "      <td>457973.0</td>\n",
       "      <td>3.441681e+01</td>\n",
       "      <td>4.220618e+01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>100.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>torque</th>\n",
       "      <td>475351.0</td>\n",
       "      <td>4.264863e+01</td>\n",
       "      <td>3.296667e+01</td>\n",
       "      <td>-125.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>104.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>oil_psi</th>\n",
       "      <td>457907.0</td>\n",
       "      <td>3.263757e+02</td>\n",
       "      <td>8.667653e+01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>292.0</td>\n",
       "      <td>332.0</td>\n",
       "      <td>372.0</td>\n",
       "      <td>920.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>manifold_tmp</th>\n",
       "      <td>458811.0</td>\n",
       "      <td>3.829099e+01</td>\n",
       "      <td>1.009876e+01</td>\n",
       "      <td>-11.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>84.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>vehiclespeed</th>\n",
       "      <td>487650.0</td>\n",
       "      <td>8.563832e+02</td>\n",
       "      <td>3.706731e+02</td>\n",
       "      <td>0.0</td>\n",
       "      <td>847.0</td>\n",
       "      <td>1023.0</td>\n",
       "      <td>1092.0</td>\n",
       "      <td>1437.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>odometerinmeters</th>\n",
       "      <td>487801.0</td>\n",
       "      <td>2.300427e+08</td>\n",
       "      <td>1.348677e+08</td>\n",
       "      <td>0.0</td>\n",
       "      <td>129819230.0</td>\n",
       "      <td>226549935.0</td>\n",
       "      <td>301607180.0</td>\n",
       "      <td>611547720.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                     count          mean           std    min          25%  \\\n",
       "fuel_total        454170.0  7.267131e+04  4.471582e+04    1.0      40812.0   \n",
       "engine_rpm        514994.0  1.162784e+03  2.508765e+02  458.0       1098.0   \n",
       "coolant_tmp       457846.0  8.055149e+01  7.013731e+00  -40.0         80.0   \n",
       "oil_tmpl          457956.0  8.614560e+01  9.936019e+00 -273.0         85.0   \n",
       "throt_pos         457973.0  3.441681e+01  4.220618e+01    0.0          0.0   \n",
       "torque            475351.0  4.264863e+01  3.296667e+01 -125.0          8.0   \n",
       "oil_psi           457907.0  3.263757e+02  8.667653e+01    0.0        292.0   \n",
       "manifold_tmp      458811.0  3.829099e+01  1.009876e+01  -11.0         32.0   \n",
       "vehiclespeed      487650.0  8.563832e+02  3.706731e+02    0.0        847.0   \n",
       "odometerinmeters  487801.0  2.300427e+08  1.348677e+08    0.0  129819230.0   \n",
       "\n",
       "                          50%          75%          max  \n",
       "fuel_total            68874.0      94454.0     257814.0  \n",
       "engine_rpm             1198.0       1326.0       8191.0  \n",
       "coolant_tmp              81.0         83.0        103.0  \n",
       "oil_tmpl                 88.0         90.0        114.0  \n",
       "throt_pos                 0.0         81.0        100.0  \n",
       "torque                   42.0         67.0        104.0  \n",
       "oil_psi                 332.0        372.0        920.0  \n",
       "manifold_tmp             38.0         45.0         84.0  \n",
       "vehiclespeed           1023.0       1092.0       1437.0  \n",
       "odometerinmeters  226549935.0  301607180.0  611547720.0  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['msg_ts']=pd.to_datetime(df['msg_ts'])  # Converting msg_ts to date time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Grouping based on VIN, device type & device ID. Then sorting based on date and time\n",
    "\n",
    "df = df.groupby(['vin','device_type','deviceid']).apply(lambda x: x.sort_values('msg_ts'))\n",
    "\n",
    "# df = df.groupby(['vin']).apply(lambda x: x.sort_values('msg_ts'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "      <th rowspan=\"5\" valign=\"top\">1HSERTZRXLH809470</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">Xirgo</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">173609885</th>\n",
       "      <th>159159</th>\n",
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       "      <td>75.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>184.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>21344555.0</td>\n",
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       "      <th>305957</th>\n",
       "      <td>2020-04-01 00:45:44</td>\n",
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       "      <td>71.0</td>\n",
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       "      <td>2020-04-01 00:46:17</td>\n",
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       "      <td>Xirgo</td>\n",
       "      <td>173609885</td>\n",
       "      <td>8821.0</td>\n",
       "      <td>649.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>73.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21344615.0</td>\n",
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       "    <tr>\n",
       "      <th>166563</th>\n",
       "      <td>2020-04-01 00:48:17</td>\n",
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       "      <td>1084.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>400.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>249.0</td>\n",
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       "      <td>2020-04-01 00:48:21</td>\n",
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       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">3HSDZTZRXLN443043</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">Xirgo</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">172300632</th>\n",
       "      <th>169088</th>\n",
       "      <td>2020-05-30 20:06:04</td>\n",
       "      <td>3HSDZTZRXLN443043</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>172300632</td>\n",
       "      <td>73146.0</td>\n",
       "      <td>1142.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>328.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1036.0</td>\n",
       "      <td>250319900.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>235795</th>\n",
       "      <td>2020-05-30 20:16:04</td>\n",
       "      <td>3HSDZTZRXLN443043</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>172300632</td>\n",
       "      <td>73150.0</td>\n",
       "      <td>1152.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>356.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>1017.0</td>\n",
       "      <td>250336560.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386294</th>\n",
       "      <td>2020-05-30 20:21:04</td>\n",
       "      <td>3HSDZTZRXLN443043</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>172300632</td>\n",
       "      <td>73152.0</td>\n",
       "      <td>1695.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>877.0</td>\n",
       "      <td>250344520.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223823</th>\n",
       "      <td>2020-05-30 20:34:29</td>\n",
       "      <td>3HSDZTZRXLN443043</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>172300632</td>\n",
       "      <td>73155.0</td>\n",
       "      <td>1085.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>91.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>12.0</td>\n",
       "      <td>328.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>144.0</td>\n",
       "      <td>250353460.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244351</th>\n",
       "      <td>2020-05-30 20:36:18</td>\n",
       "      <td>3HSDZTZRXLN443043</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>172300632</td>\n",
       "      <td>73155.0</td>\n",
       "      <td>723.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>250353920.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>487733 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                            msg_ts  \\\n",
       "vin               device_type deviceid                               \n",
       "1HSERTZRXLH809470 Xirgo       173609885 159159 2020-04-01 00:34:45   \n",
       "                                        305957 2020-04-01 00:45:44   \n",
       "                                        85501  2020-04-01 00:46:17   \n",
       "                                        166563 2020-04-01 00:48:17   \n",
       "                                        114931 2020-04-01 00:48:21   \n",
       "...                                                            ...   \n",
       "3HSDZTZRXLN443043 Xirgo       172300632 169088 2020-05-30 20:06:04   \n",
       "                                        235795 2020-05-30 20:16:04   \n",
       "                                        386294 2020-05-30 20:21:04   \n",
       "                                        223823 2020-05-30 20:34:29   \n",
       "                                        244351 2020-05-30 20:36:18   \n",
       "\n",
       "                                                              vin device_type  \\\n",
       "vin               device_type deviceid                                          \n",
       "1HSERTZRXLH809470 Xirgo       173609885 159159  1HSERTZRXLH809470       Xirgo   \n",
       "                                        305957  1HSERTZRXLH809470       Xirgo   \n",
       "                                        85501   1HSERTZRXLH809470       Xirgo   \n",
       "                                        166563  1HSERTZRXLH809470       Xirgo   \n",
       "                                        114931  1HSERTZRXLH809470       Xirgo   \n",
       "...                                                           ...         ...   \n",
       "3HSDZTZRXLN443043 Xirgo       172300632 169088  3HSDZTZRXLN443043       Xirgo   \n",
       "                                        235795  3HSDZTZRXLN443043       Xirgo   \n",
       "                                        386294  3HSDZTZRXLN443043       Xirgo   \n",
       "                                        223823  3HSDZTZRXLN443043       Xirgo   \n",
       "                                        244351  3HSDZTZRXLN443043       Xirgo   \n",
       "\n",
       "                                                 deviceid  fuel_total  \\\n",
       "vin               device_type deviceid                                  \n",
       "1HSERTZRXLH809470 Xirgo       173609885 159159  173609885         NaN   \n",
       "                                        305957  173609885      8821.0   \n",
       "                                        85501   173609885      8821.0   \n",
       "                                        166563  173609885      8822.0   \n",
       "                                        114931  173609885      8822.0   \n",
       "...                                                   ...         ...   \n",
       "3HSDZTZRXLN443043 Xirgo       172300632 169088  172300632     73146.0   \n",
       "                                        235795  172300632     73150.0   \n",
       "                                        386294  172300632     73152.0   \n",
       "                                        223823  172300632     73155.0   \n",
       "                                        244351  172300632     73155.0   \n",
       "\n",
       "                                                engine_rpm  coolant_tmp  \\\n",
       "vin               device_type deviceid                                    \n",
       "1HSERTZRXLH809470 Xirgo       173609885 159159       649.0         72.0   \n",
       "                                        305957       649.0         71.0   \n",
       "                                        85501        649.0          NaN   \n",
       "                                        166563      1084.0         74.0   \n",
       "                                        114931       751.0         74.0   \n",
       "...                                                    ...          ...   \n",
       "3HSDZTZRXLN443043 Xirgo       172300632 169088      1142.0         83.0   \n",
       "                                        235795      1152.0         81.0   \n",
       "                                        386294      1695.0          NaN   \n",
       "                                        223823      1085.0         82.0   \n",
       "                                        244351       723.0         80.0   \n",
       "\n",
       "                                                oil_tmpl  throt_pos  torque  \\\n",
       "vin               device_type deviceid                                        \n",
       "1HSERTZRXLH809470 Xirgo       173609885 159159      75.0        NaN     NaN   \n",
       "                                        305957      73.0        0.0     5.0   \n",
       "                                        85501       73.0        0.0     NaN   \n",
       "                                        166563      74.0        8.0     NaN   \n",
       "                                        114931      74.0       10.0     6.0   \n",
       "...                                                  ...        ...     ...   \n",
       "3HSDZTZRXLN443043 Xirgo       172300632 169088      94.0       68.0    68.0   \n",
       "                                        235795      89.0       15.0     6.0   \n",
       "                                        386294      90.0        0.0     0.0   \n",
       "                                        223823      91.0       18.0    12.0   \n",
       "                                        244351      90.0        1.0     0.0   \n",
       "\n",
       "                                                oil_psi  manifold_tmp  \\\n",
       "vin               device_type deviceid                                  \n",
       "1HSERTZRXLH809470 Xirgo       173609885 159159    184.0          32.0   \n",
       "                                        305957    188.0           NaN   \n",
       "                                        85501       NaN           NaN   \n",
       "                                        166563    400.0          31.0   \n",
       "                                        114931      NaN          31.0   \n",
       "...                                                 ...           ...   \n",
       "3HSDZTZRXLN443043 Xirgo       172300632 169088    328.0           NaN   \n",
       "                                        235795    356.0          42.0   \n",
       "                                        386294      NaN           NaN   \n",
       "                                        223823    328.0          51.0   \n",
       "                                        244351    196.0          47.0   \n",
       "\n",
       "                                                vehiclespeed  odometerinmeters  \n",
       "vin               device_type deviceid                                          \n",
       "1HSERTZRXLH809470 Xirgo       173609885 159159           9.0        21344555.0  \n",
       "                                        305957           0.0        21344615.0  \n",
       "                                        85501            0.0        21344615.0  \n",
       "                                        166563         249.0               NaN  \n",
       "                                        114931         198.0        21344865.0  \n",
       "...                                                      ...               ...  \n",
       "3HSDZTZRXLN443043 Xirgo       172300632 169088        1036.0       250319900.0  \n",
       "                                        235795        1017.0       250336560.0  \n",
       "                                        386294         877.0       250344520.0  \n",
       "                                        223823         144.0       250353460.0  \n",
       "                                        244351         101.0       250353920.0  \n",
       "\n",
       "[487733 rows x 14 columns]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(-20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "msg_ts               0.000000\n",
       "vin                  0.000000\n",
       "device_type          0.000000\n",
       "deviceid             0.000000\n",
       "fuel_total          10.546732\n",
       "engine_rpm           0.000000\n",
       "coolant_tmp          9.793892\n",
       "oil_tmpl             9.769699\n",
       "throt_pos            9.770929\n",
       "torque               6.578945\n",
       "oil_psi              9.791841\n",
       "manifold_tmp         9.600556\n",
       "vehiclespeed         4.196386\n",
       "odometerinmeters     4.175474\n",
       "dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()/len(df) * 100 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.bfill()  # backward fill to fill the na values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
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       "      <th>msg_ts</th>\n",
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       "      <th>vin</th>\n",
       "      <th>device_type</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">1HSERTZRXLH809470</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">Xirgo</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">173609885</th>\n",
       "      <th>159159</th>\n",
       "      <td>2020-04-01 00:34:45</td>\n",
       "      <td>1HSERTZRXLH809470</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>173609885</td>\n",
       "      <td>8821.0</td>\n",
       "      <td>649.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>184.0</td>\n",
       "      <td>32.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>21344555.0</td>\n",
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       "    <tr>\n",
       "      <th>305957</th>\n",
       "      <td>2020-04-01 00:45:44</td>\n",
       "      <td>1HSERTZRXLH809470</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>173609885</td>\n",
       "      <td>8821.0</td>\n",
       "      <td>649.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>188.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21344615.0</td>\n",
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       "    <tr>\n",
       "      <th>85501</th>\n",
       "      <td>2020-04-01 00:46:17</td>\n",
       "      <td>1HSERTZRXLH809470</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>173609885</td>\n",
       "      <td>8821.0</td>\n",
       "      <td>649.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21344615.0</td>\n",
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       "    <tr>\n",
       "      <th>166563</th>\n",
       "      <td>2020-04-01 00:48:17</td>\n",
       "      <td>1HSERTZRXLH809470</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>173609885</td>\n",
       "      <td>8822.0</td>\n",
       "      <td>1084.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>400.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>249.0</td>\n",
       "      <td>21344865.0</td>\n",
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       "    <tr>\n",
       "      <th>114931</th>\n",
       "      <td>2020-04-01 00:48:21</td>\n",
       "      <td>1HSERTZRXLH809470</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>173609885</td>\n",
       "      <td>8822.0</td>\n",
       "      <td>751.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>424.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>198.0</td>\n",
       "      <td>21344865.0</td>\n",
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       "      <th rowspan=\"5\" valign=\"top\">3HSDZTZRXLN443043</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">Xirgo</th>\n",
       "      <th rowspan=\"5\" valign=\"top\">172300632</th>\n",
       "      <th>169088</th>\n",
       "      <td>2020-05-30 20:06:04</td>\n",
       "      <td>3HSDZTZRXLN443043</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>172300632</td>\n",
       "      <td>73146.0</td>\n",
       "      <td>1142.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>94.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>68.0</td>\n",
       "      <td>328.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>1036.0</td>\n",
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       "    <tr>\n",
       "      <th>235795</th>\n",
       "      <td>2020-05-30 20:16:04</td>\n",
       "      <td>3HSDZTZRXLN443043</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>172300632</td>\n",
       "      <td>73150.0</td>\n",
       "      <td>1152.0</td>\n",
       "      <td>81.0</td>\n",
       "      <td>89.0</td>\n",
       "      <td>15.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>356.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>1017.0</td>\n",
       "      <td>250336560.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>386294</th>\n",
       "      <td>2020-05-30 20:21:04</td>\n",
       "      <td>3HSDZTZRXLN443043</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>172300632</td>\n",
       "      <td>73152.0</td>\n",
       "      <td>1695.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>328.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>877.0</td>\n",
       "      <td>250344520.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223823</th>\n",
       "      <td>2020-05-30 20:34:29</td>\n",
       "      <td>3HSDZTZRXLN443043</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>172300632</td>\n",
       "      <td>73155.0</td>\n",
       "      <td>1085.0</td>\n",
       "      <td>82.0</td>\n",
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       "      <th>244351</th>\n",
       "      <td>2020-05-30 20:36:18</td>\n",
       "      <td>3HSDZTZRXLN443043</td>\n",
       "      <td>Xirgo</td>\n",
       "      <td>172300632</td>\n",
       "      <td>73155.0</td>\n",
       "      <td>723.0</td>\n",
       "      <td>80.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>196.0</td>\n",
       "      <td>47.0</td>\n",
       "      <td>101.0</td>\n",
       "      <td>250353920.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>487733 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                            msg_ts  \\\n",
       "vin               device_type deviceid                               \n",
       "1HSERTZRXLH809470 Xirgo       173609885 159159 2020-04-01 00:34:45   \n",
       "                                        305957 2020-04-01 00:45:44   \n",
       "                                        85501  2020-04-01 00:46:17   \n",
       "                                        166563 2020-04-01 00:48:17   \n",
       "                                        114931 2020-04-01 00:48:21   \n",
       "...                                                            ...   \n",
       "3HSDZTZRXLN443043 Xirgo       172300632 169088 2020-05-30 20:06:04   \n",
       "                                        235795 2020-05-30 20:16:04   \n",
       "                                        386294 2020-05-30 20:21:04   \n",
       "                                        223823 2020-05-30 20:34:29   \n",
       "                                        244351 2020-05-30 20:36:18   \n",
       "\n",
       "                                                              vin device_type  \\\n",
       "vin               device_type deviceid                                          \n",
       "1HSERTZRXLH809470 Xirgo       173609885 159159  1HSERTZRXLH809470       Xirgo   \n",
       "                                        305957  1HSERTZRXLH809470       Xirgo   \n",
       "                                        85501   1HSERTZRXLH809470       Xirgo   \n",
       "                                        166563  1HSERTZRXLH809470       Xirgo   \n",
       "                                        114931  1HSERTZRXLH809470       Xirgo   \n",
       "...                                                           ...         ...   \n",
       "3HSDZTZRXLN443043 Xirgo       172300632 169088  3HSDZTZRXLN443043       Xirgo   \n",
       "                                        235795  3HSDZTZRXLN443043       Xirgo   \n",
       "                                        386294  3HSDZTZRXLN443043       Xirgo   \n",
       "                                        223823  3HSDZTZRXLN443043       Xirgo   \n",
       "                                        244351  3HSDZTZRXLN443043       Xirgo   \n",
       "\n",
       "                                                 deviceid  fuel_total  \\\n",
       "vin               device_type deviceid                                  \n",
       "1HSERTZRXLH809470 Xirgo       173609885 159159  173609885      8821.0   \n",
       "                                        305957  173609885      8821.0   \n",
       "                                        85501   173609885      8821.0   \n",
       "                                        166563  173609885      8822.0   \n",
       "                                        114931  173609885      8822.0   \n",
       "...                                                   ...         ...   \n",
       "3HSDZTZRXLN443043 Xirgo       172300632 169088  172300632     73146.0   \n",
       "                                        235795  172300632     73150.0   \n",
       "                                        386294  172300632     73152.0   \n",
       "                                        223823  172300632     73155.0   \n",
       "                                        244351  172300632     73155.0   \n",
       "\n",
       "                                                engine_rpm  coolant_tmp  \\\n",
       "vin               device_type deviceid                                    \n",
       "1HSERTZRXLH809470 Xirgo       173609885 159159       649.0         72.0   \n",
       "                                        305957       649.0         71.0   \n",
       "                                        85501        649.0         74.0   \n",
       "                                        166563      1084.0         74.0   \n",
       "                                        114931       751.0         74.0   \n",
       "...                                                    ...          ...   \n",
       "3HSDZTZRXLN443043 Xirgo       172300632 169088      1142.0         83.0   \n",
       "                                        235795      1152.0         81.0   \n",
       "                                        386294      1695.0         82.0   \n",
       "                                        223823      1085.0         82.0   \n",
       "                                        244351       723.0         80.0   \n",
       "\n",
       "                                                oil_tmpl  throt_pos  torque  \\\n",
       "vin               device_type deviceid                                        \n",
       "1HSERTZRXLH809470 Xirgo       173609885 159159      75.0        0.0     5.0   \n",
       "                                        305957      73.0        0.0     5.0   \n",
       "                                        85501       73.0        0.0     6.0   \n",
       "                                        166563      74.0        8.0     6.0   \n",
       "                                        114931      74.0       10.0     6.0   \n",
       "...                                                  ...        ...     ...   \n",
       "3HSDZTZRXLN443043 Xirgo       172300632 169088      94.0       68.0    68.0   \n",
       "                                        235795      89.0       15.0     6.0   \n",
       "                                        386294      90.0        0.0     0.0   \n",
       "                                        223823      91.0       18.0    12.0   \n",
       "                                        244351      90.0        1.0     0.0   \n",
       "\n",
       "                                                oil_psi  manifold_tmp  \\\n",
       "vin               device_type deviceid                                  \n",
       "1HSERTZRXLH809470 Xirgo       173609885 159159    184.0          32.0   \n",
       "                                        305957    188.0          31.0   \n",
       "                                        85501     400.0          31.0   \n",
       "                                        166563    400.0          31.0   \n",
       "                                        114931    424.0          31.0   \n",
       "...                                                 ...           ...   \n",
       "3HSDZTZRXLN443043 Xirgo       172300632 169088    328.0          42.0   \n",
       "                                        235795    356.0          42.0   \n",
       "                                        386294    328.0          51.0   \n",
       "                                        223823    328.0          51.0   \n",
       "                                        244351    196.0          47.0   \n",
       "\n",
       "                                                vehiclespeed  odometerinmeters  \n",
       "vin               device_type deviceid                                          \n",
       "1HSERTZRXLH809470 Xirgo       173609885 159159           9.0        21344555.0  \n",
       "                                        305957           0.0        21344615.0  \n",
       "                                        85501            0.0        21344615.0  \n",
       "                                        166563         249.0        21344865.0  \n",
       "                                        114931         198.0        21344865.0  \n",
       "...                                                      ...               ...  \n",
       "3HSDZTZRXLN443043 Xirgo       172300632 169088        1036.0       250319900.0  \n",
       "                                        235795        1017.0       250336560.0  \n",
       "                                        386294         877.0       250344520.0  \n",
       "                                        223823         144.0       250353460.0  \n",
       "                                        244351         101.0       250353920.0  \n",
       "\n",
       "[487733 rows x 14 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(-20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "msg_ts              0.000000\n",
       "vin                 0.000000\n",
       "device_type         0.000000\n",
       "deviceid            0.000000\n",
       "fuel_total          0.000205\n",
       "engine_rpm          0.000000\n",
       "coolant_tmp         0.000000\n",
       "oil_tmpl            0.000000\n",
       "throt_pos           0.000205\n",
       "torque              0.000000\n",
       "oil_psi             0.000000\n",
       "manifold_tmp        0.000000\n",
       "vehiclespeed        0.000000\n",
       "odometerinmeters    0.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()/len(df) * 100    # this should be 0 when the dataframe becomes completely populated"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Distribution of important features - plot\n",
    "\n",
    "for i in ['fuel_total']:\n",
    "    \n",
    "    g = sns.FacetGrid(df[['vin',i]], hue=\"vin\", height = 6, aspect = 1.5)\n",
    "    g = (g.map(sns.distplot, i , hist=False, rug=True))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in ['engine_rpm']:\n",
    "    \n",
    "    g = sns.FacetGrid(df[['vin',i]], hue=\"vin\", height = 6, aspect = 1.5)\n",
    "    g = (g.map(sns.distplot, i , hist=False, rug=True))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in ['coolant_tmp']:\n",
    "    \n",
    "    g = sns.FacetGrid(df[['vin',i]], hue=\"vin\", height = 6, aspect = 1.5)\n",
    "    g = (g.map(sns.distplot, i , hist=False, rug=True))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in ['oil_tmpl']:\n",
    "    \n",
    "    g = sns.FacetGrid(df[['vin',i]], hue=\"vin\", height = 6, aspect = 1.5)\n",
    "    g = (g.map(sns.distplot, i , hist=False, rug=True))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in ['throt_pos']:\n",
    "    \n",
    "    g = sns.FacetGrid(df[['vin',i]], hue=\"vin\", height = 6, aspect = 1.5)\n",
    "    g = (g.map(sns.distplot, i , hist=False, rug=True))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in ['torque']:\n",
    "    \n",
    "    g = sns.FacetGrid(df[['vin',i]], hue=\"vin\", height = 6, aspect = 1.5)\n",
    "    g = (g.map(sns.distplot, i , hist=False, rug=True))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in ['oil_psi']:\n",
    "    \n",
    "    g = sns.FacetGrid(df[['vin',i]], hue=\"vin\", height = 6, aspect = 1.5)\n",
    "    g = (g.map(sns.distplot, i , hist=False, rug=True))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in ['manifold_tmp']:\n",
    "    \n",
    "    g = sns.FacetGrid(df[['vin',i]], hue=\"vin\", height = 6, aspect = 1.5)\n",
    "    g = (g.map(sns.distplot, i , hist=False, rug=True))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in ['vehiclespeed']:\n",
    "    \n",
    "    g = sns.FacetGrid(df[['vin',i]], hue=\"vin\", height = 6, aspect = 1.5)\n",
    "    g = (g.map(sns.distplot, i , hist=False, rug=True))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 648x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for i in ['odometerinmeters']:\n",
    "    \n",
    "    g = sns.FacetGrid(df[['vin',i]], hue=\"vin\", height = 6, aspect = 1.5)\n",
    "    g = (g.map(sns.distplot, i , hist=False, rug=True))\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "    After meeting Dmitry confirmed only to use VIN.\n",
    "    And only consider Xirgo type for now.\n",
    "\n",
    "    Then suggested not to do any fill, use rows which are Non Nan."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "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": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}