I-94 Traffic Analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Indicators of Heavy Traffic on I-94"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**What the project is about:** In this project, I'm going to analyze a dataset of westbound traffic on the [I-94 Interstate highway](https://en.wikipedia.org/wiki/Interstate_94).\n",
    "\n",
    "**Goal of the project:** The goal of this analysis is to determine a few indicators of heavy traffic on I-94. These indicators include weather type, time of the day, time of the week, etc. For example, the analysis may reveal that I-94 traffic is usually heavier in the summertime or when it snows."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The I-94 Dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This dataset was originally published by John Hogue and can be found on the UCI Machine Learning Repository via [this link](https://archive.ics.uci.edu/ml/datasets/Metro+Interstate+Traffic+Volume)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>holiday</th>\n",
       "      <th>temp</th>\n",
       "      <th>rain_1h</th>\n",
       "      <th>snow_1h</th>\n",
       "      <th>clouds_all</th>\n",
       "      <th>weather_main</th>\n",
       "      <th>weather_description</th>\n",
       "      <th>date_time</th>\n",
       "      <th>traffic_volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>None</td>\n",
       "      <td>288.28</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>scattered clouds</td>\n",
       "      <td>2012-10-02 09:00:00</td>\n",
       "      <td>5545</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>None</td>\n",
       "      <td>289.36</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>75</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>broken clouds</td>\n",
       "      <td>2012-10-02 10:00:00</td>\n",
       "      <td>4516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>None</td>\n",
       "      <td>289.58</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>overcast clouds</td>\n",
       "      <td>2012-10-02 11:00:00</td>\n",
       "      <td>4767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>None</td>\n",
       "      <td>290.13</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>overcast clouds</td>\n",
       "      <td>2012-10-02 12:00:00</td>\n",
       "      <td>5026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>None</td>\n",
       "      <td>291.14</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>75</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>broken clouds</td>\n",
       "      <td>2012-10-02 13:00:00</td>\n",
       "      <td>4918</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  holiday    temp  rain_1h  snow_1h  clouds_all weather_main  \\\n",
       "0    None  288.28      0.0      0.0          40       Clouds   \n",
       "1    None  289.36      0.0      0.0          75       Clouds   \n",
       "2    None  289.58      0.0      0.0          90       Clouds   \n",
       "3    None  290.13      0.0      0.0          90       Clouds   \n",
       "4    None  291.14      0.0      0.0          75       Clouds   \n",
       "\n",
       "  weather_description            date_time  traffic_volume  \n",
       "0    scattered clouds  2012-10-02 09:00:00            5545  \n",
       "1       broken clouds  2012-10-02 10:00:00            4516  \n",
       "2     overcast clouds  2012-10-02 11:00:00            4767  \n",
       "3     overcast clouds  2012-10-02 12:00:00            5026  \n",
       "4       broken clouds  2012-10-02 13:00:00            4918  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "i_94 = pd.read_csv('Metro_Interstate_Traffic_Volume.csv')\n",
    "\n",
    "i_94.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>holiday</th>\n",
       "      <th>temp</th>\n",
       "      <th>rain_1h</th>\n",
       "      <th>snow_1h</th>\n",
       "      <th>clouds_all</th>\n",
       "      <th>weather_main</th>\n",
       "      <th>weather_description</th>\n",
       "      <th>date_time</th>\n",
       "      <th>traffic_volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>48199</th>\n",
       "      <td>None</td>\n",
       "      <td>283.45</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>75</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>broken clouds</td>\n",
       "      <td>2018-09-30 19:00:00</td>\n",
       "      <td>3543</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48200</th>\n",
       "      <td>None</td>\n",
       "      <td>282.76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>overcast clouds</td>\n",
       "      <td>2018-09-30 20:00:00</td>\n",
       "      <td>2781</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48201</th>\n",
       "      <td>None</td>\n",
       "      <td>282.73</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90</td>\n",
       "      <td>Thunderstorm</td>\n",
       "      <td>proximity thunderstorm</td>\n",
       "      <td>2018-09-30 21:00:00</td>\n",
       "      <td>2159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48202</th>\n",
       "      <td>None</td>\n",
       "      <td>282.09</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>overcast clouds</td>\n",
       "      <td>2018-09-30 22:00:00</td>\n",
       "      <td>1450</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48203</th>\n",
       "      <td>None</td>\n",
       "      <td>282.12</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>90</td>\n",
       "      <td>Clouds</td>\n",
       "      <td>overcast clouds</td>\n",
       "      <td>2018-09-30 23:00:00</td>\n",
       "      <td>954</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      holiday    temp  rain_1h  snow_1h  clouds_all  weather_main  \\\n",
       "48199    None  283.45      0.0      0.0          75        Clouds   \n",
       "48200    None  282.76      0.0      0.0          90        Clouds   \n",
       "48201    None  282.73      0.0      0.0          90  Thunderstorm   \n",
       "48202    None  282.09      0.0      0.0          90        Clouds   \n",
       "48203    None  282.12      0.0      0.0          90        Clouds   \n",
       "\n",
       "          weather_description            date_time  traffic_volume  \n",
       "48199           broken clouds  2018-09-30 19:00:00            3543  \n",
       "48200         overcast clouds  2018-09-30 20:00:00            2781  \n",
       "48201  proximity thunderstorm  2018-09-30 21:00:00            2159  \n",
       "48202         overcast clouds  2018-09-30 22:00:00            1450  \n",
       "48203         overcast clouds  2018-09-30 23:00:00             954  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i_94.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 48204 entries, 0 to 48203\n",
      "Data columns (total 9 columns):\n",
      " #   Column               Non-Null Count  Dtype  \n",
      "---  ------               --------------  -----  \n",
      " 0   holiday              48204 non-null  object \n",
      " 1   temp                 48204 non-null  float64\n",
      " 2   rain_1h              48204 non-null  float64\n",
      " 3   snow_1h              48204 non-null  float64\n",
      " 4   clouds_all           48204 non-null  int64  \n",
      " 5   weather_main         48204 non-null  object \n",
      " 6   weather_description  48204 non-null  object \n",
      " 7   date_time            48204 non-null  object \n",
      " 8   traffic_volume       48204 non-null  int64  \n",
      "dtypes: float64(3), int64(2), object(4)\n",
      "memory usage: 3.3+ MB\n"
     ]
    }
   ],
   "source": [
    "i_94.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "As seen above, this dataset has 48,204 rows and 9 columns, and no null values. Each row describes traffic and weather data for a specific hour — from 10-02-2012 09:00:00 until 09-30-2018 23:00:00.\n",
    "\n",
    "A station located approximately midway between Minneapolis and Saint Paul records the traffic data (see [dataset documentation](https://archive.ics.uci.edu/ml/datasets/Metro+Interstate+Traffic+Volume)). For this station, the direction of the route is westbound (i.e., cars moving from east to west). This means that the results of my analysis will pertain to westbound traffic in the proximity of the station. In other words, I should avoid generalizing my findings for the entire I-94 highway."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Analyzing Traffic Volume"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I will now start the analysis by examining the distribution of the `traffic_volume` column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "i_94['traffic_volume'].plot.hist()\n",
    "plt.show()"
   ]
  },
  {
   "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>temp</th>\n",
       "      <th>rain_1h</th>\n",
       "      <th>snow_1h</th>\n",
       "      <th>clouds_all</th>\n",
       "      <th>traffic_volume</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>48204.000000</td>\n",
       "      <td>48204.000000</td>\n",
       "      <td>48204.000000</td>\n",
       "      <td>48204.000000</td>\n",
       "      <td>48204.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>281.205870</td>\n",
       "      <td>0.334264</td>\n",
       "      <td>0.000222</td>\n",
       "      <td>49.362231</td>\n",
       "      <td>3259.818355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>13.338232</td>\n",
       "      <td>44.789133</td>\n",
       "      <td>0.008168</td>\n",
       "      <td>39.015750</td>\n",
       "      <td>1986.860670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>272.160000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1193.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>282.450000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>64.000000</td>\n",
       "      <td>3380.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>291.806000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>4933.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>310.070000</td>\n",
       "      <td>9831.300000</td>\n",
       "      <td>0.510000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>7280.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               temp       rain_1h       snow_1h    clouds_all  traffic_volume\n",
       "count  48204.000000  48204.000000  48204.000000  48204.000000    48204.000000\n",
       "mean     281.205870      0.334264      0.000222     49.362231     3259.818355\n",
       "std       13.338232     44.789133      0.008168     39.015750     1986.860670\n",
       "min        0.000000      0.000000      0.000000      0.000000        0.000000\n",
       "25%      272.160000      0.000000      0.000000      1.000000     1193.000000\n",
       "50%      282.450000      0.000000      0.000000     64.000000     3380.000000\n",
       "75%      291.806000      0.000000      0.000000     90.000000     4933.000000\n",
       "max      310.070000   9831.300000      0.510000    100.000000     7280.000000"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "i_94.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "There are a few observations worth noting here:\n",
    "\n",
    "Between 10-02-2012 09:00:00 and 09-30-2018 23:00:00, the hourly traffic volume varied from 0 to 7,280 cars, with an average of 3,260 cars.\n",
    "\n",
    "About 25% of the time, there were 1,193 cars or fewer passing the station each hour — this probably occurs during the night, or when a road is under construction. However, about 25% of the time, the traffic volume was four times as much (4,933 cars or more).\n",
    "\n",
    "This observation that nighttime and daytime might influence traffic volume gives my analysis an interesting direction: comparing daytime data with nighttime data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Traffic Volume: Day vs. Night"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I'll start by dividing the dataset into two parts:\n",
    "\n",
    "- Daytime data: hours from 7 a.m. to 7 p.m. (12 hours)\n",
    "- Nighttime data: hours from 7 p.m. to 7 a.m. (12 hours)\n",
    "\n",
    "Note that while this is not a perfect criterion for distinguishing between nighttime and daytime, it's a good starting point."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(23877, 9)\n",
      "(24327, 9)\n"
     ]
    }
   ],
   "source": [
    "i_94['date_time'] = pd.to_datetime(i_94['date_time'])\n",
    "\n",
    "day = i_94.copy()[(i_94['date_time'].dt.hour >= 7) & (i_94['date_time'].dt.hour < 19)]\n",
    "print(day.shape)\n",
    "\n",
    "night = i_94.copy()[(i_94['date_time'].dt.hour >= 19) | (i_94['date_time'].dt.hour < 7)]\n",
    "print(night.shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "I see there is a significant difference in row numbers between `day` and `night`, which is due to a few hours of missing data. For instance, if I look at rows 176 and 177 (`i_94.iloc[176:178]`), I notice there's no data for two hours (4 and 5)."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that I've isolated `day` and `night`, I'm going to look at the histograms of traffic volume side-by-side using a grid chart."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1100x350 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(11,3.5))\n",
    "\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.hist(day['traffic_volume'])\n",
    "plt.xlim(-100, 7500)\n",
    "plt.ylim(0, 8000)\n",
    "plt.title('Traffic Volume: Day')\n",
    "plt.ylabel('Frequency')\n",
    "plt.xlabel('Traffic Volume')\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.hist(night['traffic_volume'])\n",
    "plt.xlim(-100, 7500)\n",
    "plt.ylim(0, 8000)\n",
    "plt.title('Traffic Volume: Night')\n",
    "plt.ylabel('Frequency')\n",
    "plt.xlabel('Traffic Volume')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    23877.000000\n",
       "mean      4762.047452\n",
       "std       1174.546482\n",
       "min          0.000000\n",
       "25%       4252.000000\n",
       "50%       4820.000000\n",
       "75%       5559.000000\n",
       "max       7280.000000\n",
       "Name: traffic_volume, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day['traffic_volume'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    24327.000000\n",
       "mean      1785.377441\n",
       "std       1441.951197\n",
       "min          0.000000\n",
       "25%        530.000000\n",
       "50%       1287.000000\n",
       "75%       2819.000000\n",
       "max       6386.000000\n",
       "Name: traffic_volume, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "night['traffic_volume'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "The shape of the histogram shows that the distribution of traffic volume during the day is left skewed. This means that most of the traffic volume values are high — there are 4,252 or more cars passing the station each hour 75% of the time (because 25% of values are less than 4,252).\n",
    "\n",
    "Conversely, the histogram displaying the nighttime data is right skewed. This means that most of the traffic volume values are low — 75% of the time, the number of cars that passed the station each hour was less than 2,819.\n",
    "\n",
    "Although there are still measurements of over 5,000 cars per hour, the traffic at night is generally light. However, my goal is to find indicators of *heavy traffic*, so I'll only focus on the daytime data moving forward."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Time Indicators"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "One of the possible indicators of heavy traffic is time. There may be more people on the road in a certain month, on a certain day, or at a certain time of the day.\n",
    "\n",
    "With that in mind, I'll look at a few line plots showing how the traffic volume changed according to the following parameters:\n",
    "\n",
    "- Month\n",
    "- Day of the week\n",
    "- Time of day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "day['month'] = day['date_time'].dt.month\n",
    "by_month = day.groupby('month').mean()\n",
    "by_month['traffic_volume'].plot.line()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "According to this chart, traffic looks less heavy during cold months (November – February) and more intense during warm months (March – October), with one interesting exception: July. \n",
    "\n",
    "I wonder, is there anything special about July? Is traffic significantly less heavy in July each year?\n",
    "\n",
    "To answer the last question, I'll check to see how the traffic volume changed each year in July."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "day['year'] = day['date_time'].dt.year\n",
    "only_july = day[day['month'] == 7]\n",
    "only_july.groupby('year').mean()['traffic_volume'].plot.line()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Typically, the traffic is pretty heavy in July, similar to the other warm months. The only exception is 2016, which had a high decrease in traffic volume. One possible reason for this is road construction — [this article from 2016](https://www.crainsdetroit.com/article/20160728/NEWS/160729841/weekend-construction-i-96-us-23-bridge-work-i-94-lane-closures-i-696) supports this hypothesis.\n",
    "\n",
    "As a tentative conclusion here, I could say that warm months generally show heavier traffic compared to cold months. In a warm month, you can can expect a traffic volume close to 5,000 cars for each hour of daytime."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Time Indicators (ii)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now I want to look at a more granular indicator: day number."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "day['dayofweek'] = day['date_time'].dt.dayofweek\n",
    "by_dayofweek = day.groupby('dayofweek').mean()\n",
    "by_dayofweek['traffic_volume'].plot.line() # 0 is Monday, 6 is Sunday\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Traffic volume is significantly heavier on business days (Monday – Friday). With the exception of Monday, I only see values over 5,000 during business days. Traffic is lighter on weekends, with values below 4,000 cars."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Time Indicators (iii)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, I'll examine what values are present based on time of the day. The weekends, however, will drag down the average values, so I will have to look at the averages separately.\n",
    "\n",
    "To do that, I'll need to split the data based on the day type: business day or weekend."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1100x350 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "day['hour'] = day['date_time'].dt.hour\n",
    "bussiness_days = day.copy()[day['dayofweek'] <= 4] # 4 == Friday\n",
    "weekend = day.copy()[day['dayofweek'] >= 5] # 5 = Saturday\n",
    "by_hour_business = bussiness_days.groupby('hour').mean()\n",
    "by_hour_weekend = weekend.groupby('hour').mean()\n",
    "\n",
    "\n",
    "plt.figure(figsize=(11,3.5))\n",
    "\n",
    "plt.subplot(1, 2, 1)\n",
    "by_hour_business['traffic_volume'].plot.line()\n",
    "plt.xlim(6,20)\n",
    "plt.ylim(1500,6500)\n",
    "plt.title('Traffic Volume By Hour: Monday–Friday')\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "by_hour_weekend['traffic_volume'].plot.line()\n",
    "plt.xlim(6,20)\n",
    "plt.ylim(1500,6500)\n",
    "plt.title('Traffic Volume By Hour: Weekend')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For each hour of the day, the traffic volume is generally higher during business days compared to the weekends. As expected, the rush hours are around 7 and 16 — when most people travel from home to work and back. There are volumes of over 6,000 cars during rush hours.\n",
    "\n",
    "To summarize, I found a few time-related indicators of heavy traffic:\n",
    "\n",
    "- The traffic is usually heavier during warm months (March –October) compared to cold months (November – February).\n",
    "\n",
    "- The traffic is usually heavier on business days compared to weekends.\n",
    "\n",
    "- On business days, the rush hours are around 7 and 16."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Weather Indicators"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Another possible indicator of heavy traffic is weather. The dataset provides me with a few useful columns about weather: `temp`, `rain_1h`, `snow_1h`, `clouds_all`, `weather_main`, `weather_description`.\n",
    "\n",
    "A few of these columns are numerical, so I'll start by looking up their correlation values to `traffic_volume`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "temp              0.128317\n",
       "rain_1h           0.003697\n",
       "snow_1h           0.001265\n",
       "clouds_all       -0.032932\n",
       "traffic_volume    1.000000\n",
       "month            -0.022337\n",
       "year             -0.003557\n",
       "dayofweek        -0.416453\n",
       "hour              0.172704\n",
       "Name: traffic_volume, dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day.corr()['traffic_volume']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Temperature shows the strongest correlation with a value of just +0.13. The other relevant columns (`rain_1h`, `snow_1h`, `clouds_all`) don't show any strong correlation to `traffic_value`.\n",
    "\n",
    "Let's generate a scatter plot to visualize the correlation between `temp` and `traffic_volume`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "day.plot.scatter('traffic_volume', 'temp')\n",
    "plt.ylim(230, 320) # two wrong 0K temperatures mess up the y-axis\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the scatter plot, I can conclude that temperature doesn't look like a solid indicator of heavy traffic.\n",
    "\n",
    "Next, I want to analyze the other weather-related columns: `weather_main` and `weather_description`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Weather Types"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To start, I'll go ahead and group the data by `weather_main` and look at the `traffic_volume` averages."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "by_weather_main = day.groupby('weather_main').mean()\n",
    "by_weather_main['traffic_volume'].plot.barh()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "It looks like there are no weather types where traffic volume exceeds 5,000 cars. This makes finding a heavy traffic indicator more difficult. \n",
    "\n",
    "Next, I'll try grouping by `weather_description`, which has a more granular weather classification."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "by_weather_description = day.groupby('weather_description').mean()\n",
    "by_weather_description['traffic_volume'].plot.barh(figsize=(5,10))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It looks like there are three weather types where traffic volume exceeds 5,000:\n",
    "\n",
    "- Shower snow\n",
    "- Light rain and snow\n",
    "- Proximity thunderstorm with drizzle\n",
    "\n",
    "It's not clear why these weather types have the highest average traffic values — this is bad weather, but not *that bad*. Perhaps more people take their cars out of the garage when the weather is bad instead of riding a bike or walking."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this project, I attempted to find a few indicators of heavy traffic on the I-94 Interstate highway. I managed to find two types of indicators:\n",
    "\n",
    "- Time indicators\n",
    "\n",
    "    - The traffic is usually heavier during warm months (March –October) compared to cold months (November – February).\n",
    "    - The traffic is usually heavier on business days compared to the weekends.\n",
    "    - On business days, the rush hours are around 7 and 16.\n",
    "    \n",
    "- Weather indicators\n",
    "\n",
    "    - Shower snow\n",
    "    - Light rain and snow\n",
    "    - Proximity thunderstorm with drizzle"
   ]
  }
 ],
 "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": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}