Heavy Traffic Indicators on I-94.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Finding Heavy Traffic Indicators on I-94\n",
    "\n",
    "The goal of this project is to determine a few indicators of heavy traffic on I-94. Heavy traffic is defined as the highest volumes of vehicles per hour traveling on the road. The speed of the vehicles and the interstate congestion are not available to us from this dataset and are therefore not a consideration of this analysis.\n",
    "\n",
    "This [dataset](https://archive.ics.uci.edu/ml/datasets/Metro+Interstate+Traffic+Volume) is from the [UCI Machine Learning Repository](https://archive.ics.uci.edu/ml/index.php) contains information described as:\n",
    "> Hourly Interstate 94 Westbound traffic volume for MN DoT ATR station 301, roughly midway between Minneapolis and St Paul, MN.\n",
    "\n",
    "It also includes:\n",
    "> Hourly weather features and holidays included for impacts on traffic volume.\n",
    "\n",
    "This means that our analysis will be restricted to westbound traffic in this general area and will not necessarily give us useful information about the entire I-94 between Minneapolis and St. Paul. In this study, we will restrict our analysis to the impacts of weather and time on the amount of vehicles traveling past this traffic station."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Import Dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
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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": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "traffic = pd.read_csv('Metro_Interstate_Traffic_Volume.csv')\n",
    "\n",
    "traffic.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "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>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": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traffic.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "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": [
    "traffic.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The [dataset documentation](https://archive.ics.uci.edu/ml/datasets/Metro+Interstate+Traffic+Volume) lists the descriptions of the columns as the following:\n",
    "\n",
    "* `holiday` - Categorical US National holidays plus regional holiday, Minnesota State Fair\n",
    "* `temp` - Numeric Average temp in kelvin\n",
    "* `rain_1h` - Numeric Amount in mm of rain that occurred in the hour\n",
    "* `snow_1h` - Numeric Amount in mm of snow that occurred in the hour\n",
    "* `clouds_all` - Numeric Percentage of cloud cover\n",
    "* `weather_main` - Categorical Short textual description of the current weather\n",
    "* `weather_description` - Categorical Longer textual description of the current weather\n",
    "* `date_time` - DateTime Hour of the data collected in local CST time\n",
    "* `traffic_volume` - Numeric Hourly I-94 ATR 301 reported westbound traffic volume"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Analysis\n",
    "\n",
    "We will begin by analyzing the overall traffic volume to see what kinds of conclusions can be drawn and the best way to proceed with further analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "traffic['traffic_volume'].plot.hist()\n",
    "plt.title('Traffic Volume Frequency Table')\n",
    "plt.xlabel('Traffic Volume')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    48204.000000\n",
       "mean      3259.818355\n",
       "std       1986.860670\n",
       "min          0.000000\n",
       "25%       1193.000000\n",
       "50%       3380.000000\n",
       "75%       4933.000000\n",
       "max       7280.000000\n",
       "Name: traffic_volume, dtype: float64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "traffic['traffic_volume'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are high frequencies of:\n",
    "* Very little traffic - low traffic volumes likely occur at night\n",
    "* Approximately 5,000 vehicles per hour\n",
    "\n",
    "The histogram could possibly be a combination of a right-skewed distribution at night and a normal distribution during the day. Let's further examine this possibility and the differences in traffic volume during the day versus at night.\n",
    "\n",
    "We'll split the dataset into two parts:\n",
    "* Daytime data: hours from 5 a.m. to 9 p.m. (16 hours)\n",
    "* Nighttime data: hours from 9 p.m. to 5 a.m. (8 hours)\n",
    "\n",
    "This is not necessarily a perfect criterion for separating night and day, but it is a decent starting point. While this is not a 50/50 split of data, it is a reasonable split between typical peak and off-peak travel times and more likely to give us a better distribution for traffic."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "traffic['date_time'] = pd.to_datetime(traffic['date_time'])\n",
    "day = traffic[traffic['date_time'].dt.hour.between(5, 21)]\n",
    "night = traffic[~traffic['date_time'].dt.hour.between(5, 21)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5))\n",
    "plt.subplot(1, 2, 1)\n",
    "day['traffic_volume'].plot.hist()\n",
    "plt.xlim([0, day['traffic_volume'].max()])\n",
    "plt.ylim([0, 8000])\n",
    "plt.title('Daytime Traffic Volume (5 a.m. to 9 p.m.)')\n",
    "plt.xlabel('Vehicles per Hour')\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "night['traffic_volume'].plot.hist()\n",
    "plt.xlim([0,day['traffic_volume'].max()])\n",
    "plt.ylim([0, 8000])\n",
    "plt.title('Nighttime Traffic Volume (9 p.m. to 5 a.m.)')\n",
    "plt.xlabel('Vehicles per Hour')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    33949.000000\n",
       "mean      4241.373796\n",
       "std       1455.995040\n",
       "min          0.000000\n",
       "25%       3124.000000\n",
       "50%       4498.000000\n",
       "75%       5320.000000\n",
       "max       7280.000000\n",
       "Name: traffic_volume, dtype: float64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day['traffic_volume'].describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    14255.000000\n",
       "mean       922.194669\n",
       "std        735.716000\n",
       "min          0.000000\n",
       "25%        373.000000\n",
       "50%        676.000000\n",
       "75%       1183.000000\n",
       "max       4816.000000\n",
       "Name: traffic_volume, dtype: float64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "night['traffic_volume'].describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Analyzing the histograms, we see that, as we expected, the nighttime traffic volume is right skewed. While the maximum traffic volume during that period is close to 5,000, the overall traffic volume is very low.\n",
    "\n",
    "The daytime traffic volume, on the other hand, is actually left skewed, not normally distributed, with a mean volume of over 4,200, nearly as much as the maximum nighttime volume. Since we are looking for indicators of heavy traffic, we'll restrict our analysis to the daytime data."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Traffic Volume by Timeframe\n",
    "\n",
    "There are several factors which could be an indicator of heavy traffic. One of the most obvious is time. We'll look at a few line plots to show how the traffic volume changed according to the following timeframes:\n",
    "* Month\n",
    "* Day of the week\n",
    "* Time of day\n",
    "\n",
    "_Note: In a few of the following pieces of code we will find a \"SettingWithCopyWarning\" which is automatically generated. This is because we are adding columns to `day`, a slice of the original `traffic` dataset. [There are ways to deal with this warning](https://towardsdatascience.com/how-to-suppress-settingwithcopywarning-in-pandas-c0c759bd0f10), but, in this case, we will just ignore them as this code was written by [Dataquest](https://www.dataquest.io/) and given for the preparation of this project._"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-10-b104fbd4ed31>:1: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "month\n",
       "1     3993.398359\n",
       "2     4179.364520\n",
       "3     4301.622656\n",
       "4     4326.994633\n",
       "5     4373.582432\n",
       "6     4392.270361\n",
       "7     4134.925325\n",
       "8     4414.037265\n",
       "9     4329.681581\n",
       "10    4391.007296\n",
       "11    4174.165627\n",
       "12    3910.925557\n",
       "Name: traffic_volume, dtype: float64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day['month'] = day['date_time'].dt.month\n",
    "by_month = day.groupby('month').mean()\n",
    "by_month['traffic_volume']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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_month['traffic_volume'].plot()\n",
    "plt.title('Average Hourly Daytime Traffic Volume by Month')\n",
    "plt.ylim([2000,5000])\n",
    "plt.xlabel('Month')\n",
    "plt.ylabel('Average Hourly Traffic Volume')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The traffic volume varies minimally by months with slightly lower volumes in July as well as in the winter months. The slight decrease in July could be because fewer people are traveling to work because they are on vacation. The lower traffic in the winter months could be because poor weather is causing some travellers to stay at home. We will look at weather factors later in our analysis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-12-e4e897828b56>:1: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "dayofweek\n",
       "0    4357.460558\n",
       "1    4653.236440\n",
       "2    4750.921215\n",
       "3    4783.304475\n",
       "4    4757.097525\n",
       "5    3424.756386\n",
       "6    2966.376211\n",
       "Name: traffic_volume, dtype: float64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day['dayofweek'] = day['date_time'].dt.dayofweek\n",
    "by_dayofweek = day.groupby('dayofweek').mean()\n",
    "by_dayofweek['traffic_volume']  # 0 is Monday, 6 is Sunday"
   ]
  },
  {
   "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_numbers = [0, 1, 2, 3, 4, 5, 6]\n",
    "day_names = ['Sunday', 'Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday', 'Saturday']\n",
    "\n",
    "by_dayofweek['traffic_volume'].plot()\n",
    "plt.title('Average Hourly Daytime Traffic Volume by Day of the Week')\n",
    "plt.ylim([2000,5000])\n",
    "plt.xlabel('Day of the Week')\n",
    "plt.ylabel('Average Hourly Traffic Volume')\n",
    "plt.xticks(ticks=day_numbers, labels=day_names, rotation=45)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is an obvious dropoff in traffic volume on Saturdays and Sundays. This is likely because much of the traffic on westbound I-94 is people travelling to and from work."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-14-90d5b2be9adb>:1: SettingWithCopyWarning:\n",
      "\n",
      "\n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "hour\n",
       "5     2701.296703\n",
       "6     5365.983210\n",
       "7     6030.413559\n",
       "8     5503.497970\n",
       "9     4895.269257\n",
       "10    4378.419118\n",
       "11    4633.419470\n",
       "12    4855.382143\n",
       "13    4859.180473\n",
       "14    5152.995778\n",
       "15    5592.897768\n",
       "16    6189.473647\n",
       "17    5784.827133\n",
       "18    4434.209431\n",
       "19    3298.340426\n",
       "20    2842.433004\n",
       "21    2673.042807\n",
       "Name: traffic_volume, dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day['hour'] = day['date_time'].dt.hour\n",
    "weekday = day.copy()[day['dayofweek'] <= 4] #4 is Friday\n",
    "weekend = day.copy()[day['dayofweek'] >= 5] #5 is Saturday\n",
    "by_hour_weekday = weekday.groupby('hour').mean()\n",
    "by_hour_weekend = weekend.groupby('hour').mean()\n",
    "\n",
    "by_hour_weekday['traffic_volume']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "hour\n",
       "5      639.237232\n",
       "6     1089.100334\n",
       "7     1589.365894\n",
       "8     2338.578073\n",
       "9     3111.623917\n",
       "10    3686.632302\n",
       "11    4044.154955\n",
       "12    4372.482883\n",
       "13    4362.296564\n",
       "14    4358.543796\n",
       "15    4342.456881\n",
       "16    4339.693805\n",
       "17    4151.919929\n",
       "18    3811.792279\n",
       "19    3220.234120\n",
       "20    2815.039216\n",
       "21    2658.445242\n",
       "Name: traffic_volume, dtype: float64"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "by_hour_weekend['traffic_volume']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hours = [6, 8, 10, 12, 14, 16, 18, 20]\n",
    "\n",
    "plt.figure(figsize=(10, 5))\n",
    "plt.subplot(1, 2, 1)\n",
    "by_hour_weekday['traffic_volume'].plot()\n",
    "plt.title('Average Hourly Traffic on Weekdays')\n",
    "plt.ylim([0, 7000])\n",
    "plt.xlabel('Time of Day (in hours)')\n",
    "plt.ylabel('Vehicles per Hour')\n",
    "plt.xticks(hours)\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "by_hour_weekend['traffic_volume'].plot()\n",
    "plt.title('Average Hourly Traffic on Weekends')\n",
    "plt.ylim([0, 7000])\n",
    "plt.xlabel('Time of Day (in hours)')\n",
    "plt.ylabel('Vehicles per Hour')\n",
    "plt.xticks(hours)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "On weekdays, traffic is heaviest in the morning and in the evening with a decrease between 10 a.m. and 3 p.m. On weekends, traffic is heavy from about noon to 6 p.m. with more traffic in the later part of the evening than in the morning.\n",
    "\n",
    "\n",
    "\n",
    "### Traffic Volume by Timeframe - Summary\n",
    "\n",
    "* Month - Traffic is fairly uniform with only slight dips in July and the winter months. \n",
    "* Day of the Week - Traffic is much heavier Monday through Friday than on the weekends.\n",
    "* Time of Day - Weekday traffic is heavier in the morning and in the evening, peaking at 7 a.m, and at 4 p.m. while weekend traffic is heaviest between the hours of noon and 4 p.m."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Traffic Volume by Weather\n",
    "\n",
    "The dataset includes two different descriptions of weather:\n",
    "\n",
    "* `weather_main` - A short textual description of the current weather\n",
    "* `weather_description` - A Longer textual description of the current weather\n",
    "\n",
    "We will analyze traffic volume by both of these columns to see if there are any conclusions which can be drawn."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "temp              0.121737\n",
       "rain_1h           0.004092\n",
       "snow_1h           0.002727\n",
       "clouds_all        0.001551\n",
       "traffic_volume    1.000000\n",
       "month            -0.007474\n",
       "dayofweek        -0.323468\n",
       "hour             -0.037428\n",
       "Name: traffic_volume, dtype: float64"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day.corr()['traffic_volume']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There isn't much correlation between `traffic volume` and any of the weather indicators, but let's look at a scatter plot for the strongest correlation with `traffic volume`, `temp`."
   ]
  },
  {
   "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": [
    "a, b = np.polyfit(day['traffic_volume'], day['temp'], 1)\n",
    "\n",
    "plt.scatter(day['traffic_volume'], day['temp'])\n",
    "plt.ylim([240,312]) # There are a few datapoints with 0 K\n",
    "plt.title('Traffic Volume vs. Temperature in Kelvin')\n",
    "plt.xlabel('Average Number of Vehicles per Hour')\n",
    "plt.ylabel('Temperature in Kelvin')\n",
    "\n",
    "plt.plot(day['traffic_volume'], a*day['traffic_volume']+b, color='black')\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have included a line of best fit to further emphasize that there is very little correlation between weather and traffic volume. There is no weather data which seems like a reliable indicator for heavy traffic. Nevertheless, let's continue our analysis to see if there are any conclusions to be drawn."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "by_weather_main = day.groupby('weather_main').mean()\n",
    "by_weather_description = day.groupby('weather_description').mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Clear', 'Clouds', 'Drizzle', 'Fog', 'Haze', 'Mist', 'Rain', 'Smoke',\n",
       "       'Snow', 'Squall', 'Thunderstorm'],\n",
       "      dtype='object', name='weather_main')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "by_weather_main.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": false
   },
   "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['traffic_volume'].plot.barh()\n",
    "plt.title('Traffic Volume by Weather in Vehicles per Hour')\n",
    "plt.xlabel('Traffic Volume')\n",
    "plt.ylabel('Weather')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The highest traffic volume are when the weather is classed as rain, haze, drizzle, clouds, and clear. These are some of the more mild weather conditions, but the differences in traffic volume are minor. There is no clear indication that heavy traffic is caused any certain type of weather. We will continue our analysis by looking at the more detailed weather descriptions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 600x1000 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(6, 10))\n",
    "by_weather_description['traffic_volume'].plot.barh()\n",
    "plt.title('Traffic Volume by Weather in Vehicles per Hour')\n",
    "plt.xlabel('Traffic Volume')\n",
    "plt.ylabel('Weather Description')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There is quite heavy traffic during weather described as snow showers and light rain and snow showers and quite light traffic during weather described as a thunderstorm with drizzle. Before we can look further to see if this information is useful to us, we need to look at the frequency of each of these events to see if this data is statistically significant."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sky is clear                           7406\n",
       "mist                                   3890\n",
       "broken clouds                          3691\n",
       "overcast clouds                        3674\n",
       "scattered clouds                       2823\n",
       "light rain                             2398\n",
       "few clouds                             1557\n",
       "light snow                             1347\n",
       "Sky is Clear                           1234\n",
       "moderate rain                          1150\n",
       "haze                                   1040\n",
       "light intensity drizzle                 783\n",
       "fog                                     575\n",
       "proximity thunderstorm                  468\n",
       "drizzle                                 442\n",
       "heavy snow                              442\n",
       "heavy intensity rain                    335\n",
       "snow                                    210\n",
       "proximity shower rain                   135\n",
       "thunderstorm                             78\n",
       "heavy intensity drizzle                  45\n",
       "thunderstorm with heavy rain             41\n",
       "proximity thunderstorm with rain         33\n",
       "thunderstorm with light rain             32\n",
       "thunderstorm with rain                   29\n",
       "smoke                                    16\n",
       "very heavy rain                          13\n",
       "light intensity shower rain              13\n",
       "light shower snow                        11\n",
       "thunderstorm with light drizzle          10\n",
       "proximity thunderstorm with drizzle       8\n",
       "shower drizzle                            6\n",
       "light rain and snow                       4\n",
       "sleet                                     3\n",
       "SQUALLS                                   2\n",
       "thunderstorm with drizzle                 2\n",
       "freezing rain                             2\n",
       "shower snow                               1\n",
       "Name: weather_description, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "day['weather_description'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Light rain and snow: 0.0118%\n",
      "Thunderstorm with drizzle: 0.0059%\n",
      "Shower snow: 0.0029%\n"
     ]
    }
   ],
   "source": [
    "a = day['weather_description'].value_counts()['light rain and snow'] / day['weather_description'].value_counts().sum()\n",
    "b = day['weather_description'].value_counts()['thunderstorm with drizzle'] / day['weather_description'].value_counts().sum()\n",
    "c = day['weather_description'].value_counts()['shower snow'] / day['weather_description'].value_counts().sum()\n",
    "\n",
    "a = round(a * 100, 4)\n",
    "b = round(b * 100, 4)\n",
    "c = round(c * 100, 4)\n",
    "\n",
    "print ('Light rain and snow: ' + str(a) + '%')\n",
    "print ('Thunderstorm with drizzle: ' + str(b) + '%')\n",
    "print ('Shower snow: ' + str(c) + '%')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These three weather conditions are all very infrequent with only seven total occurrences of these three weather descriptions in the entire dataset. This means that this data is an incredibly small sample size and does not give us any useful information about the amount of traffic that could be expected during these types of weather."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusions\n",
    "\n",
    "From the data we have analyzed, the only indicator of heavy traffic in number of vehicles per hour is time.\n",
    "\n",
    "* The month of the year has only a very slight impact on the volume of traffic with slightly lower volumes during the winter months. This could be because the weather discourages people from traveling or encourages them to use other means of transportation.\n",
    "* The day of the week has a marked impact on the traffic volume with much heavier volumes on weekdays than on the weekend. This suggests that this stretch of road is commonly traveled to go to and from work.\n",
    "* The hour of the day also has a significant impact on the traffic volume with much higher volumes of traffic during the day and very little traffic at night. The peak hours are 7 a.m. and 4 p.m. further indicating that a large portion of travelers are commuting to and from work.\n",
    "\n",
    "In spite of the data showing that there is a very slight decrease in traffic volume during the winter months, there are no weather indicators for heavy traffic. Temperature had a very small correlation with traffic volume and general weather description showed no volume trends. There were a few longer-description weather conditions which showed a substantial increase or decrease in traffic volume, but these conditions were such a small sample size of the entire dataset that they cannot be considered reliable indicators."
   ]
  }
 ],
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