FinalProject_group077.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# COGS 108 - Final Project"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Overview\n",
    "Fill in your overview here<br>\n",
    "Names:<br>\n",
    "> 1) Marco Aceves<br>\n",
    "2) Karim Dabboussi<br>\n",
    "3) Brent Kimura<br>\n",
    "4) Amanda Bustamante<br>\n",
    "5) Stjepan Kilic<br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Research Question\n",
    "What variables contribute to car accidents in San Diego specifically what variables affect how dangerous an accident will be?"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Background and Prior Work\n",
    "By studying and analyzing a live traffic map of downtown San Diego (source 3), we are able to see a significant amount of congestion in the Mission Hills, Gaslamp, and Coronado areas of the metroplex. These high density zones that undergo frequent use, along with colliding one way streets make downtown San Diego an accident prone area. We are working with a dataset from a practical point of view for this problem is one in which the data itself is specific enough to make evident what factors will increase the likelihood of an accident occurring. The variables that are contained within the  dataset specify the location, date, time, weather conditions, driver behavior (intoxication), outcome of accidents; which took data cleaning and the use of API to gather more information about the coordinates of car accidents and the weather data. Our data contained an ideal amount of observations, a dataset of an ideal nature should have enough observations to accurately pinpoint locations of accidents and show a general trend. Hence, we found data with around 20,000 or more data observations, in the context of San Diego it would give a good scope of data to analyze. Though there are numerous accidents reported to the police each year, there are many that are not reported for many reasons. Due to these circumstances, there is a possibility we will miss data that could potentially affect our results significantly. Our data includes traffic collisions in San Diego gathered from the California Highway Patrol (SDPD) reports (source 1), and weather data from The National Weather Service (source 5). Ideally, we want to store and organize these sets of data in separate csv files.<br>\n",
    "References (include links):<br>\n",
    "> 1) https://data.sandiego.gov/datasets/police-collisions/<br>\n",
    "2) https://www.caraccidentlawyer-sandiego.com/Blog/2017/08/The-Top-10-Most-Accident-Prone-Roads-in-San-Dieg.aspx<br>\n",
    "3) https://www.nbcsandiego.com/traffic/<br>\n",
    "4) https://www.transportation.gov/data<br>\n",
    "5) https://www.weather.gov/help-past-weather<br>\n",
    "6) https://www.weather.gov/documentation/services-web-api# <br>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Hypothesis\n",
    "Locations such as high traffic areas, days surrounding holidays, early mornings, late nights, rainy weather, high temperatures, poor road conditions, and changes in driver behavior due to these variables increase the likelihood of car accidents in San Diego. Low traffic areas, holidays, times in the middle of the day, clear weather, mild temperatures, and good road conditions will decrease the likelihood of car accidents in San Diego."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dataset(s)\n",
    "Dataset Name: pd_colissions_data_.csv<br>\n",
    "Link to the dataset: https://data.sandiego.gov/datasets/police-collisions/<br>\n",
    "Number of observations: 20,000+<br>\n",
    "\n",
    "The data set includes historical data of traffic accidents in San Diego from the year 2015 to date. The data includes more than 20,000 observations of the time and date of when the incident occurred, the report id (case number), the police beat which will be removed from our data set for protection of privacy, the address of where the accident occured, the data included the violation number with a violation description, finally it includes the number of people injured or killed during the incident. \n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import os\n",
    "import folium\n",
    "from folium import plugins\n",
    "from folium.plugins import HeatMap\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import patsy\n",
    "import statsmodels.api as sm\n",
    "import scipy.stats as stats"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Cleaning\n",
    "The Data Cleaning was done in two steps, the first steps involved dropping unnecessary rows, and combining a few rows. However in order to get geographic coordinates an api called geopy was used. The problem with geopy is that it got coordinates in a very slow way, requiring the process to run multiple times to prevent timeouts. This took a week or two to fully complete. By the time we realized this we realized that we needed to make a new notebook, but the data had partially been cleaned from the initial data frame so we had to import the new dataframe that was cleaned. Inorder to prevent runtime issues, the original code for getting the coordinates and any other issues has been preserved in markdown.<br>\n",
    "\n",
    "In [1]:<br>\n",
    "import pandas as pd<br>\n",
    "import numpy as np<br>\n",
    "import os<br>\n",
    "import geopy<br>\n",
    "from geopy.geocoders import Nominatim<br>\n",
    "from geopy.extra.rate_limiter import RateLimiter<br>\n",
    "\n",
    "In [2]:<br>\n",
    "df = pd.read_csv('pd_collisions_datasd_v1.csv')<br>\n",
    "df[\"address_of_traffic_accident\"] = df[\"address_number_primary\"].astype('str') + df[\"address_pd_primary\"] + \" \" + df[\"address_road_primary\"] + \" \" + df[\"address_sfx_primary\"]<br>\n",
    "df[\"address_if_intersection\"] = df[\"address_pd_intersecting\"].astype('str') + df[\"address_name_intersecting\"] + \" \" + df[\"address_sfx_intersecting\"]<br>\n",
    "df = df.drop(columns=['address_number_primary', 'address_pd_primary', 'address_road_primary', 'address_sfx_primary'])<br>\n",
    "df = df.drop(columns=['address_pd_intersecting','address_name_intersecting','address_sfx_intersecting','police_beat'])<br>\n",
    "cols = list(df.columns)<br>\n",
    "a, b = cols.index('violation_section'), cols.index('address_of_traffic_accident')<br>\n",
    "cols[b], cols[a] = cols[a], cols[b]<br>\n",
    "df = df[cols]<br>\n",
    "fatal = df['killed'].sum()<br>\n",
    "nonFatal = df['injured'].sum()<br>\n",
    "df.shape<br>\n",
    "\n",
    "Out[ ]:<br>\n",
    "(20484, 10)<br>\n",
    "\n",
    "In [3]:<br>\n",
    "geolocator = Nominatim(user_agent=\"COGS108_Traffic_DataScience\")<br>\n",
    "location = geolocator.geocode(\"3100 BERGER AVENUE San Diego, CA\")<br>\n",
    "geocode = RateLimiter(geolocator.geocode, min_delay_seconds=1)<br>\n",
    "df['address_of_traffic_accident'] = df['address_of_traffic_accident'] + \" \" + \",San Diego, CA\";<br>\n",
    "dftest = df.iloc[20001:20485].copy()<br>\n",
    "dftest['coordinates'] = df['address_of_traffic_accident'].apply(geocode).apply(lambda x: (x.latitude, x.longitude))<br>\n",
    "dftest['coordinates'] = geolocator.geocode(dftest['address_of_traffic_accident'])<br>\n",
    "geolocator = Nominatim(user_agent=\"COGS108_Traffic_DataScience\",timeout=30)<br>\n",
    "\n",
    "geocode = RateLimiter(geolocator.geocode, min_delay_seconds=1)<br>\n",
    "dftest['location'] = dftest['address_of_traffic_accident'].apply(geocode)<br>\n",
    "\n",
    "dftest['point'] = dftest['location'].apply(lambda loc: tuple(loc.point) if loc else None)<br>\n",
    "\n",
    "In [4]:<br>\n",
    "dftest<br>\n",
    "\n",
    "dftest.to_csv('dffile14.csv', index=False)<br>\n",
    "\n",
    "df.shape<br>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "\n",
    "df = pd.read_csv('pdData.csv')\n",
    "df2 = pd.read_csv('weatherData.csv')\n",
    "result_df = df.copy()\n",
    "result_df = result_df.drop_duplicates(keep='first')\n",
    "result_df.reset_index(drop=True)\n",
    "result_df = result_df[result_df['point'].notna()]\n",
    "downTown = [32.715736, -117.161087]\n",
    "\n",
    "def nightDay(string):\n",
    "    #grab the time from a column\n",
    "    string = string[-5:]\n",
    "    string = string.strip()\n",
    "    # if time is not 00:00 format add a 0 onto it\n",
    "    if len(string) == 4:\n",
    "        string = \"0\" + string\n",
    "    #classification of times using military time\n",
    "    if len(string) == 5:\n",
    "        if int(string[:2]) >= 5 and int(string[:2]) <= 11:\n",
    "            return \"morning\"\n",
    "        elif int(string[:2]) >= 12 and int(string[:2]) <= 16:\n",
    "            return \"afternoon\"\n",
    "        elif int(string[:2]) >= 17 and int(string[:2]) <= 20:\n",
    "            return \"evening\"\n",
    "        else:\n",
    "            return \"night\"\n",
    "def binaryDayNight(string):\n",
    "    #grab the time from a column\n",
    "    string = string[-5:]\n",
    "    string = string.strip()\n",
    "    # if time is not 00:00 format add a 0 onto it\n",
    "    if len(string) == 4:\n",
    "        string = \"0\" + string\n",
    "    #classification of times using military time\n",
    "    if len(string) == 5:\n",
    "        if int(string[:2]) >= 5 and int(string[:2]) <= 17:\n",
    "            return 0 # might need to change to 1 \n",
    "        else:\n",
    "            return 1 # might need to change to 0\n",
    "def rainfallLog(df):\n",
    "    updated_df = df\n",
    "    updated_df[\"rainfall\"] = df[\"rainfall\"]#Copies the old df\n",
    "    list1 = updated_df[\"rainfall\"].tolist()     \n",
    "    i = 0\n",
    "    while i < len(list1):\n",
    "        if list1[i] > 0:\n",
    "            list1[i] = 1\n",
    "        else:\n",
    "            list1[i] = 0\n",
    "        i = i+1\n",
    "    return list1\n",
    "def grabDatePrefix(string):\n",
    "    string = str(string)\n",
    "    if(len(string) == 10):\n",
    "        return string[:5]\n",
    "    elif(len(string) == 9):\n",
    "        return string[:4]\n",
    "    elif(len(string) == 8):\n",
    "        return string[:3]\n",
    "def killed(string):\n",
    "    if int(string) > 0:\n",
    "        return 1\n",
    "    else:\n",
    "        return 0\n",
    "def getDate(string):\n",
    "    #extracts date from column\n",
    "    string = string.strip()\n",
    "    string = string.split(\" \", 1)[0]\n",
    "    string = string[:10]\n",
    "    string = string.strip()\n",
    "    return string\n",
    "def comparatorDate(date1,date2):\n",
    "    date1 = date1.strip()\n",
    "    date2 = date2.strip()\n",
    "    if date1 == date2:\n",
    "        return True\n",
    "    else:\n",
    "        return False\n",
    "def tupleAccess(data):\n",
    "        #grabs tuple from column to get\n",
    "        #longitude and lagitude format\n",
    "        data = data.split(',')\n",
    "        element1 = data[0]\n",
    "        element1 = element1[1:].strip()\n",
    "        element2 = data[1].strip()\n",
    "        holder = [element1,element2]\n",
    "        #returns a list\n",
    "        return holder\n",
    "\n",
    "def sanDiegoMap(df,start,end,zoom,long,lat):\n",
    "    map = folium.Map(location=[long, lat],zoom_start=zoom)\n",
    "    for i in range(start, end):\n",
    "        point = [df['long'].loc[i],df['lat'].loc[i]]\n",
    "        folium.Marker(location=[point[0],point[1]], popup=df['date_time'][i]).add_to(map)\n",
    "    return map"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>report_id</th>\n",
       "      <th>date_time</th>\n",
       "      <th>address_of_traffic_accident</th>\n",
       "      <th>violation_type</th>\n",
       "      <th>charge_desc</th>\n",
       "      <th>injured</th>\n",
       "      <th>killed</th>\n",
       "      <th>hit_run_lvl</th>\n",
       "      <th>violation_section</th>\n",
       "      <th>address_if_intersection</th>\n",
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       "      <th>point</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>180698</td>\n",
       "      <td>1/18/2018 0:01</td>\n",
       "      <td>500  SEA WORLD DRIVE ,San Diego, CA ,San Diego...</td>\n",
       "      <td>VC</td>\n",
       "      <td>VIOLATION OF BASIC SPEED LAW SPEED UNSAFE FOR ...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>MISDEMEANOR</td>\n",
       "      <td>22350</td>\n",
       "      <td></td>\n",
       "      <td>SeaWorld San Diego, 500, Sea World Drive, Loma...</td>\n",
       "      <td>(32.7659778, -117.226626467006, 0.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>180716</td>\n",
       "      <td>1/18/2018 0:01</td>\n",
       "      <td>7600  PALMILLA DRIVE ,San Diego, CA ,San Diego...</td>\n",
       "      <td>VC</td>\n",
       "      <td>MISCELLANEOUS HAZARDOUS VIOLATIONS OF THE VEHI...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>MISDEMEANOR</td>\n",
       "      <td>MISC-HAZ</td>\n",
       "      <td></td>\n",
       "      <td>7600, Palmilla Drive, La Jolla Colony, Univers...</td>\n",
       "      <td>(32.863052, -117.224988, 0.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>180886</td>\n",
       "      <td>1/18/2018 0:01</td>\n",
       "      <td>9300  CLAIREMONT MESA BOULEVARD ,San Diego, CA...</td>\n",
       "      <td>VC</td>\n",
       "      <td>MISCELLANEOUS HAZARDOUS VIOLATIONS OF THE VEHI...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>MISDEMEANOR</td>\n",
       "      <td>MISC-HAZ</td>\n",
       "      <td></td>\n",
       "      <td>Clairemont Mesa Boulevard, Tierrasanta, San Di...</td>\n",
       "      <td>(32.8336953, -117.1195042, 0.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>180756</td>\n",
       "      <td>1/18/2018 0:01</td>\n",
       "      <td>5900  BALBOA AVENUE ,San Diego, CA ,San Diego,...</td>\n",
       "      <td>VC</td>\n",
       "      <td>MISCELLANEOUS HAZARDOUS VIOLATIONS OF THE VEHI...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>MISDEMEANOR</td>\n",
       "      <td>MISC-HAZ</td>\n",
       "      <td></td>\n",
       "      <td>Balboa Avenue, Pacific Beach, San Diego, San D...</td>\n",
       "      <td>(32.8075226, -117.2125742, 0.0)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>180815</td>\n",
       "      <td>1/18/2018 7:53</td>\n",
       "      <td>3500  BARNETT AVENUE ,San Diego, CA ,San Diego...</td>\n",
       "      <td>VC</td>\n",
       "      <td>VIOLATION OF BASIC SPEED LAW SPEED UNSAFE FOR ...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22350</td>\n",
       "      <td></td>\n",
       "      <td>3500, Barnett Avenue, Loma Portal, Old Town, S...</td>\n",
       "      <td>(32.745185, -117.198612, 0.0)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  report_id       date_time  \\\n",
       "0    180698  1/18/2018 0:01   \n",
       "1    180716  1/18/2018 0:01   \n",
       "2    180886  1/18/2018 0:01   \n",
       "3    180756  1/18/2018 0:01   \n",
       "5    180815  1/18/2018 7:53   \n",
       "\n",
       "                         address_of_traffic_accident violation_type  \\\n",
       "0  500  SEA WORLD DRIVE ,San Diego, CA ,San Diego...             VC   \n",
       "1  7600  PALMILLA DRIVE ,San Diego, CA ,San Diego...             VC   \n",
       "2  9300  CLAIREMONT MESA BOULEVARD ,San Diego, CA...             VC   \n",
       "3  5900  BALBOA AVENUE ,San Diego, CA ,San Diego,...             VC   \n",
       "5  3500  BARNETT AVENUE ,San Diego, CA ,San Diego...             VC   \n",
       "\n",
       "                                         charge_desc  injured  killed  \\\n",
       "0  VIOLATION OF BASIC SPEED LAW SPEED UNSAFE FOR ...        0       0   \n",
       "1  MISCELLANEOUS HAZARDOUS VIOLATIONS OF THE VEHI...        0       0   \n",
       "2  MISCELLANEOUS HAZARDOUS VIOLATIONS OF THE VEHI...        0       0   \n",
       "3  MISCELLANEOUS HAZARDOUS VIOLATIONS OF THE VEHI...        0       0   \n",
       "5  VIOLATION OF BASIC SPEED LAW SPEED UNSAFE FOR ...        1       0   \n",
       "\n",
       "   hit_run_lvl violation_section address_if_intersection  \\\n",
       "0  MISDEMEANOR             22350                           \n",
       "1  MISDEMEANOR          MISC-HAZ                           \n",
       "2  MISDEMEANOR          MISC-HAZ                           \n",
       "3  MISDEMEANOR          MISC-HAZ                           \n",
       "5          NaN             22350                           \n",
       "\n",
       "                                            location  \\\n",
       "0  SeaWorld San Diego, 500, Sea World Drive, Loma...   \n",
       "1  7600, Palmilla Drive, La Jolla Colony, Univers...   \n",
       "2  Clairemont Mesa Boulevard, Tierrasanta, San Di...   \n",
       "3  Balboa Avenue, Pacific Beach, San Diego, San D...   \n",
       "5  3500, Barnett Avenue, Loma Portal, Old Town, S...   \n",
       "\n",
       "                                  point  \n",
       "0  (32.7659778, -117.226626467006, 0.0)  \n",
       "1         (32.863052, -117.224988, 0.0)  \n",
       "2       (32.8336953, -117.1195042, 0.0)  \n",
       "3       (32.8075226, -117.2125742, 0.0)  \n",
       "5         (32.745185, -117.198612, 0.0)  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>report_id</th>\n",
       "      <th>date_time</th>\n",
       "      <th>charge_desc</th>\n",
       "      <th>injured</th>\n",
       "      <th>killed</th>\n",
       "      <th>hit_run_lvl</th>\n",
       "      <th>point</th>\n",
       "      <th>day/night</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>180698</td>\n",
       "      <td>1/18/2018 0:01</td>\n",
       "      <td>VIOLATION OF BASIC SPEED LAW SPEED UNSAFE FOR ...</td>\n",
       "      <td>0</td>\n",
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       "      <td>MISDEMEANOR</td>\n",
       "      <td>(32.7659778, -117.226626467006, 0.0)</td>\n",
       "      <td>night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>180716</td>\n",
       "      <td>1/18/2018 0:01</td>\n",
       "      <td>MISCELLANEOUS HAZARDOUS VIOLATIONS OF THE VEHI...</td>\n",
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       "      <td>MISDEMEANOR</td>\n",
       "      <td>(32.863052, -117.224988, 0.0)</td>\n",
       "      <td>night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>180886</td>\n",
       "      <td>1/18/2018 0:01</td>\n",
       "      <td>MISCELLANEOUS HAZARDOUS VIOLATIONS OF THE VEHI...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>MISDEMEANOR</td>\n",
       "      <td>(32.8336953, -117.1195042, 0.0)</td>\n",
       "      <td>night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>180756</td>\n",
       "      <td>1/18/2018 0:01</td>\n",
       "      <td>MISCELLANEOUS HAZARDOUS VIOLATIONS OF THE VEHI...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>MISDEMEANOR</td>\n",
       "      <td>(32.8075226, -117.2125742, 0.0)</td>\n",
       "      <td>night</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>180815</td>\n",
       "      <td>1/18/2018 7:53</td>\n",
       "      <td>VIOLATION OF BASIC SPEED LAW SPEED UNSAFE FOR ...</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>(32.745185, -117.198612, 0.0)</td>\n",
       "      <td>morning</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  report_id       date_time  \\\n",
       "0    180698  1/18/2018 0:01   \n",
       "1    180716  1/18/2018 0:01   \n",
       "2    180886  1/18/2018 0:01   \n",
       "3    180756  1/18/2018 0:01   \n",
       "4    180815  1/18/2018 7:53   \n",
       "\n",
       "                                         charge_desc  injured  killed  \\\n",
       "0  VIOLATION OF BASIC SPEED LAW SPEED UNSAFE FOR ...        0       0   \n",
       "1  MISCELLANEOUS HAZARDOUS VIOLATIONS OF THE VEHI...        0       0   \n",
       "2  MISCELLANEOUS HAZARDOUS VIOLATIONS OF THE VEHI...        0       0   \n",
       "3  MISCELLANEOUS HAZARDOUS VIOLATIONS OF THE VEHI...        0       0   \n",
       "4  VIOLATION OF BASIC SPEED LAW SPEED UNSAFE FOR ...        1       0   \n",
       "\n",
       "   hit_run_lvl                                 point day/night  \n",
       "0  MISDEMEANOR  (32.7659778, -117.226626467006, 0.0)     night  \n",
       "1  MISDEMEANOR         (32.863052, -117.224988, 0.0)     night  \n",
       "2  MISDEMEANOR       (32.8336953, -117.1195042, 0.0)     night  \n",
       "3  MISDEMEANOR       (32.8075226, -117.2125742, 0.0)     night  \n",
       "4          NaN         (32.745185, -117.198612, 0.0)   morning  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result_df['day/night'] = result_df['date_time'].apply(nightDay)\n",
    "result_df = result_df.drop(columns={'address_if_intersection','location',\n",
    "                                    'address_of_traffic_accident','location','violation_section','violation_type'},axis=1)\n",
    "result_df.reset_index(drop=True, inplace=True)\n",
    "#dropped unneccesary rows that wont be used in the analysis\n",
    "#more rows will be added to the dataframe later on\n",
    "result_df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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       "      <th>date_time</th>\n",
       "      <th>maxtempC</th>\n",
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       "      <th>totalSnow_cm</th>\n",
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       "      <th>moon_illumination</th>\n",
       "      <th>moonrise</th>\n",
       "      <th>moonset</th>\n",
       "      <th>...</th>\n",
       "      <th>WindChillC</th>\n",
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       "  date_time  maxtempC  mintempC  totalSnow_cm  sunHour  uvIndex  uvIndex.1  \\\n",
       "0  1/1/2018        18        12             0      8.7        1          1   \n",
       "1  1/2/2018        21        13             0      8.7        1          1   \n",
       "2  1/3/2018        19        14             0      3.8        1          1   \n",
       "3  1/4/2018        20        14             0      8.7        1          1   \n",
       "4  1/5/2018        20        15             0      8.7        1          1   \n",
       "\n",
       "   moon_illumination moonrise  moonset  ... WindChillC WindGustKmph  \\\n",
       "0                 97  4:54 PM  6:13 AM  ...         15            9   \n",
       "1                100  6:00 PM  7:17 AM  ...         17           11   \n",
       "2                 89  7:08 PM  8:14 AM  ...         17            6   \n",
       "3                 81  8:16 PM  9:04 AM  ...         17           10   \n",
       "4                 74  9:22 PM  9:49 AM  ...         17           15   \n",
       "\n",
       "   cloudcover  humidity  precipMM  pressure  tempC  visibility  winddirDegree  \\\n",
       "0          15        70       0.0      1020     18          10            277   \n",
       "1          16        58       0.0      1020     21          10            241   \n",
       "2          48        57       0.0      1018     19          10            203   \n",
       "3          12        67       0.0      1020     20          10            253   \n",
       "4          20        79       0.0      1021     20          10            252   \n",
       "\n",
       "   windspeedKmph  \n",
       "0              6  \n",
       "1              6  \n",
       "2              3  \n",
       "3              6  \n",
       "4              9  \n",
       "\n",
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     },
     "execution_count": 5,
     "metadata": {},
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   ],
   "source": [
    "#Important Note about df2 it was a dataframe that we created using another api to get the weather, but it took a longtime\n",
    "#to compute like folium and only relevant data was extracted.\n",
    "df2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "result_df['temp'] = np.nan\n",
    "result_df['rainfall'] = np.nan\n",
    "df2 = df2.set_index('date_time')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/conda/lib/python3.6/site-packages/pandas/core/indexing.py:205: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
      "  self._setitem_with_indexer(indexer, value)\n"
     ]
    }
   ],
   "source": [
    "i = 0\n",
    "#adds the weather data to the data frame from the weather df\n",
    "while i < len(result_df):\n",
    "        try:\n",
    "            location = getDate(result_df['date_time'].loc[i])\n",
    "            result_df['temp'].loc[i] = df2['tempC'].loc[str(location)]\n",
    "            result_df['rainfall'].loc[i] = df2['precipMM'].loc[str(location)]\n",
    "            i += 1\n",
    "        except KeyError:\n",
    "            i += 1\n",
    "            continue"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "result_df.reset_index(drop=True, inplace=True)\n",
    "result_df['long'] = np.nan\n",
    "result_df['lat'] = np.nan\n",
    "i = 0\n",
    "while i < len(result_df):\n",
    "    point = tupleAccess(result_df['point'].loc[i])\n",
    "    result_df['lat'].loc[i] = point[0]\n",
    "    result_df['long'].loc[i] = point[1]\n",
    "    i += 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Analysis & Results\n",
    "Once our data was cleaned of unnecessary extraneous variables, we were left with the number of accidents each day in the past two years, whether the accidents were fatal, what time of day the accidents occurred at,  how much rainfall occurred each day, and the temperature of each day. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Map of San Diego"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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[32.8318212, -117.2766028], [32.79232711574331, -117.25428999174797], [32.7647187, -117.1539685], [32.966042, -117.262383], [32.9169351, -117.115328], [32.864224, -117.213877], [33.08683529228002, -116.90373821240502], [32.712677, -117.15635], [32.763389, -117.114999], [32.7507001, -117.2051495], [32.87935255, -117.2311004938553], [32.798025, -117.215915], [32.741552, -117.161178], [32.707441, -117.032881], [32.802424, -117.217475], [32.81628209255796, -117.21683823144456], [32.701493, -117.066649], [32.83274, -117.165005], [32.90832891704603, -117.16729648568214], [32.7485412, -117.1232719], [32.79406, -117.239222], [32.5697738, -117.0840855], [32.7864446628571, -117.08453476105497], [32.7717742, -117.1602497], [32.677469, -117.067871], [32.757647, -117.085834], [32.763882, -117.106396], [32.8721148, -117.2287498], [32.803272526834704, -117.11616154812461], [33.162019, -117.347476], [32.74792, -117.107038], [32.770002, -117.154673], [32.7782306, -117.0671478], [32.7551213, -117.1103395], [32.682901, -117.109766], [32.75116012309543, -117.07335568076462], [32.5520013, -117.0430813], [32.748578, -117.12901], [32.7551078, -117.1093329], [32.97120554164078, -117.07293700062128], [32.772119, -117.251022], [32.818584507656176, -117.14927161797449], [32.768086892764735, -117.2442570942159], [32.712693, -117.153617], [32.9787548, -117.0886476], [32.8931646, -117.1153049], [32.583526, -117.062019], [32.759880296554726, -117.08050531849898], [32.86809965563722, -117.21406643593834], [32.7239315, -117.0764889], [32.885595, -117.159841], [32.807278, -117.114776], [32.8105281735842, -117.14229947462508], [32.892776, -117.201382], [32.576679, -117.069366], [32.83104433474509, -117.21896752936432], [32.745901, -117.171428], [32.850575, -117.254135], [32.803587, -117.255784], [32.8053763, -117.2222288], [32.77912, -117.170358], [32.759515, -117.142657], [32.713398, -117.125378], [32.782302, -117.059798], [32.7393831, -117.181583], [32.786955, -117.170535], [32.7041673, -117.0862596], [32.763909, -117.116305], [32.5514705, -117.0624806], [32.587424, -117.092735], [32.7747194, -117.1499019], [32.759034, -117.084512], [32.711642, -117.155665], [32.767843, -117.190476], [32.579828, -117.057049], [32.9787548, -117.0886476], [32.818862, -117.150121], [32.753221, -117.203175], [32.755403, -117.130019], [32.9070025, -117.1740822], [32.893895, -117.1188142], [32.916301, -117.152338], [32.76781965985792, -117.07166642025615], [32.86770239585651, -117.21395702473544], [32.7540651, -117.1301729], [32.699273, -117.140652], [32.823484, -117.230137], [32.95119749593037, -117.10767960619383], [32.7189902, -117.148659], [32.8517845, -117.2539952], [32.5532788, -116.9742443], [32.583773, -117.081478], [32.742541, -117.252298], [32.966707, -117.09001], [32.866999, -117.207369], [32.803427, -117.226066], [32.573311619033724, -117.05567093243094], [32.96124641019322, -117.20029414338816], [32.691848, -117.036662], [33.01488904165724, -117.09196315535999], [32.958745, -117.114346], [32.754804, -117.058408], [32.7782306, -117.0671478], [32.797712, -117.251627], [32.745981, -117.092416], [32.71051, -117.159974], [32.77794352016692, -117.10872832739908], [32.754998, -117.081513], [32.544206, -117.046882], [32.917249, -117.124638], [32.753340018355, -117.11218794562964], [32.8931646, -117.1153049], [32.718999, -117.155729], [32.975228, -117.095259]],
                {"blur": 15, "max": 1.0, "maxZoom": 18, "minOpacity": 0.5, "radius": 25}
            ).addTo(map_ca18df21011e46ba9d207ddebf98374a);
        
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f6513d9bfd0>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result_df = result_df[result_df['long'].notna()]\n",
    "mapSD = sanDiegoMap(result_df,0,1,14,downTown[0],downTown[1])\n",
    "dfMap = result_df.sample(n = 5000)\n",
    "\n",
    "#here we randomly sample a heat map to see \n",
    "#where the intenisty of accidents is most focused in down town san diego.\n",
    "heat_data = [[row['lat'],row['long']] for index, row in dfMap.iterrows()]\n",
    "\n",
    "folium.Marker(\n",
    "    location=[32.707138, -117.162498],\n",
    "    popup='Convention Center',\n",
    "    icon=folium.Icon(color='black')\n",
    ").add_to(mapSD)\n",
    "\n",
    "# Plot it on the map\n",
    "HeatMap(heat_data).add_to(mapSD)\n",
    "#result_df.to_csv('trafficPDSDAccidents_Cleaned.csv')\n",
    "\n",
    "#IF THIS DOSENT DISPLAY, YOU CAN VIEW IT ON THE HTML VERSION IN THE REPO\n",
    "mapSD"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we found the used the addresses of each accident and inputted them into a geospatial api as a latitude and longitude value. We then specified that we wanted a heat map to display. The more common the location is for accidents, the more red the color is. Looking at the graph we noticed that most accidents occurred in and around San Diego while there were a few outliers in Camp Pendleton and Anza Borrego Desert. Traffic accidents also become much more common as you get closer to downtown San Diego as there is more traffic due to frequent traffic lights and more urbanization occurring in this area."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Time of Day that Accidents Occured"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "ax = sns.countplot(x=\"day/night\", data=result_df)\n",
    "ax.set_ylabel('Number of Accidents')\n",
    "ax.set_xlabel('Time of Accident')\n",
    "ax.set_title(\"Accidents based on Time\", y=1.02, fontsize=22)\n",
    "sns.set(style=\"darkgrid\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we classified the time each accident occurred and classified it as morning, afternoon, evening, and night. As we can see, there is a large increase in traffic accidents in the afternoon. This can be attributed to the fact that most people get off of work in the afternoon and the rush hour traffic leads to more accidents than other times of day more likely because of the increased volume of people on the road."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Rain vs. No Rain"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.02, 'Average amount of daily accidents')"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "result_df['date'] = result_df['date_time'].apply(getDate)\n",
    "dfRain = result_df[result_df['rainfall'] > 0].copy()\n",
    "dfNoRain = result_df[result_df['rainfall'] == 0].copy()\n",
    "accidentsOnRain = dfRain.groupby('date').size().mean()\n",
    "accidentsOnNoRain = dfNoRain.groupby('date').size().mean()\n",
    "d = {'Rain': [accidentsOnRain,accidentsOnNoRain]}\n",
    "\n",
    "index = ['Rain vs. No Rain']\n",
    "dfPlot = pd.DataFrame({'Rain': accidentsOnRain,\n",
    "                   'No Rain': accidentsOnNoRain}, index=index)\n",
    "plot = dfPlot.plot.bar(rot=0,figsize=(10,5))\n",
    "\n",
    "plot.set_ylabel('Number of Accidents')\n",
    "plot.set_title(\"Average amount of daily accidents\", y=1.02, fontsize=22)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Though there is only a slight difference, we can see that there are more accidents on days without rain than days with rain.  This can possibly be attributed to the fact that individuals may be less likely to travel unnecessarily because of the inclimate weather and the drivers that do opt to do so  are more cautious in the rain, which in turn decreases the likelihood of drivers getting into accidents. The reduction of driver volume combined with increased alertness could explain the unexpected result of this graph. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (12,6))\n",
    "dfRain['rainfall10'] = dfRain['rainfall']\n",
    "dfRain['rainfall10'] = np.log(dfRain['rainfall'])\n",
    "#Majority of accidents that happen on rainy days is where rain is low, not when rainfall is high\n",
    "rainGraph = dfRain['rainfall10'].hist(bins=50)\n",
    "rainGraph.set_ylabel('Number of Accidents')\n",
    "rainGraph.set_xlabel('RainFall')\n",
    "rainGraph.set_title(\"Accidents on Rainy Days\", y=1.02, fontsize=22);\n",
    "#not in inches in millimeters used log function to give a better distribution for the graph"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this graph we wanted to see how many accidents occurred on rainy days compared to non rainy days. The values on the X-axis represents how wet it was. Negative numbers mean that there was less rain while positive numbers mean that there is more rain. As shown in the graph, there are more accidents when there is less rain than where there is more rain. This can be attributed to the slick roads when rain first starts or when there is not much rain to begin with. When there is more rain, drivers are more likely to drive safer leading to less accidents, but when there is less rain or when rain begins, drivers do not fully realize how dangerous the roads can be and drive as they would if there was no rain, leading to more accidents."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Daily Average Temperature and Accidents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 38.0)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (12,6))\n",
    "result_df['temp'].hist(bins=20, grid=False, xlabelsize=12, ylabelsize=12)\n",
    "plt.xlabel(\"Average Daily Temperature\", fontsize=15)\n",
    "plt.ylabel(\"Frequency of Car Accidents\",fontsize=15)\n",
    "plt.title(\"Correlation of Daily Temperature and Frequency of Accidents \", y=1.02, fontsize=22);\n",
    "plt.xlim([0.0,38.0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We did not find enough evidence to demonstrate that there is a significant correlation of car accidents in San Diego and the daily average temperature. We assumed that as temperature increases, there would be a higher likelihood of someone being involved in a car accident. Our theory for this was that people tend to drive more aggressively as the temperature increases, causing a higher likelihood of accidents and reckless driving. In the histogram above we compared the frequency of car accidents in San Diego with the daily average temperature and we notice no significant skewed distribution which tells us that there is evidence to say that there is no correlation between the average daily temperature and likelihood of car accidents in San Diego. There is an outlier at zero degrees C, where there is a surprising number of accidents which was unexpected since the number of accidents drops off as the temperature gets cooler."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Accidents on and near Holidays"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#group dates and count the number of accidents in each date\n",
    "dates = result_df.groupby('date').size()\n",
    "#then convert to a dataframe\n",
    "dates = dates.to_frame()\n",
    "dates.sort_values(by = 'date')\n",
    "\n",
    "tg2018 = dates.loc['11/18/2018':'11/30/2018'].copy()\n",
    "tg2018 =tg2018[~tg2018.index.str.contains(\"2019\" or \"2020\")]\n",
    "#tg stands for thanskgiving day\n",
    "tg2019 = dates.loc['11/18/2019':'11/30/2019'].copy()\n",
    "tg2019 = tg2019[~tg2019.index.str.contains(\"2018\" or \"2020\")]\n",
    "#dropping rows that appear in the dataset more than twice\n",
    "tg2019 = tg2019.drop('11/3/2019')\n",
    "tg2019 = tg2019.drop('11/2/2019')\n",
    "tg2018 = tg2018.drop('11/2/2018')\n",
    "tg2018 = tg2018.drop('11/3/2018')\n",
    "\n",
    "tg2018['dateRow'] = tg2018.index.map(grabDatePrefix)\n",
    "tg2019['dateRow'] = tg2018.index.map(grabDatePrefix)\n",
    "tgDataFrame = pd.merge(tg2018, tg2019, on='dateRow', how='inner')\n",
    "tgDataFrame = tgDataFrame.set_index('dateRow')\n",
    "tgDataFrame = tgDataFrame.rename(columns={\"0_x\": \"2018\", \"0_y\": \"2019\"})\n",
    "\n",
    "#plotting of the graph\n",
    "sns.set(font_scale=1.4)\n",
    "tgDataFrame.plot(figsize=(16, 8), linewidth=2.5)\n",
    "plt.xlabel(\"Date\", labelpad=15)\n",
    "plt.ylabel(\"Accidents\", labelpad=15)\n",
    "style = dict(size=16, color='gray')\n",
    "plt.text(2.75, 19.5,'Thanksgiving 2018',**style)\n",
    "plt.text(9, 12.5,'Thanksgiving 2019',**style)\n",
    "plt.title(\"Thanksgiving\", y=1.02, fontsize=22);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "winter2018 = dates.loc['12/20/2018':'12/31/2018'].copy()\n",
    "winter2018 = winter2018[~winter2018.index.str.contains(\"2019\" or \"2020\")]\n",
    "winter2018part2 = dates.loc['1/1/2019':'1/5/2019']\n",
    "winter2018part2 = winter2018part2[~winter2018part2.index.str.contains(\"2020\")]\n",
    "winter2018part2 = winter2018part2[winter2018part2.index.str.len() < 9]\n",
    "winter2018 = winter2018.append(winter2018part2)\n",
    "#Code is slightly complex  due to how groupby sorted the dates\n",
    "\n",
    "#making a new df from series data and dropping if year does not match, boolean logic used\n",
    "winter2019 = dates.loc['12/20/2019':'12/31/2019'].copy()\n",
    "winter2019 = winter2019[~winter2019.index.str.contains(\"2018\" or \"2020\")]\n",
    "winter2019part2 = dates.loc['1/1/2020':'1/5/2020']\n",
    "winter2019part2 = winter2019part2[~winter2019part2.index.str.contains(\"2019\")]\n",
    "#if len is less than 9 it is a date at the very beginning of the year\n",
    "winter2019part2 = winter2019part2[winter2019part2.index.str.len() < 9]\n",
    "winter2019 = winter2019.append(winter2019part2)\n",
    "#drop rows that fall through conditions\n",
    "winter2018 = winter2018.drop('12/3/2018')\n",
    "winter2019 = winter2019.drop('12/3/2019')\n",
    "#grabbing the prefix 'ie: 1/1' from index to use later\n",
    "winter2018['dateRow'] = winter2018.index.map(grabDatePrefix)\n",
    "winter2019['dateRow'] = winter2019.index.map(grabDatePrefix)\n",
    "\n",
    "wiData = pd.merge(winter2018, winter2019, on='dateRow', how='inner')\n",
    "#merge data on the prefix to align graph\n",
    "wiData = wiData.set_index('dateRow')\n",
    "#set index to dateRow and rename columns in graph\n",
    "wiData = wiData.rename(columns={\"0_x\": \"Christmas 2018-2019\", \"0_y\": \"Christmas 2019-2020\"})\n",
    "\n",
    "sns.set(font_scale=1.4)\n",
    "wiData.plot(figsize=(16, 8), linewidth=2.5)\n",
    "plt.xlabel(\"Date\", labelpad=15)\n",
    "plt.ylabel(\"Number of Accidents\", labelpad=15)\n",
    "style = dict(size=16, color='gray')\n",
    "#plotting a point\n",
    "plt.text(3.5, 9.65,'X-Mas 2018',**style)\n",
    "plt.text(4, 12.5,'X-Mas 2019',**style)\n",
    "\n",
    "plt.text(11, 30,'New Year\\'s 2019',**style)\n",
    "plt.text(11, 26.5,'New Year\\'s 2020',**style)\n",
    "\n",
    "plt.title(\"Christmas and New Year\\'s Day\", y=1.02, fontsize=22);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we wanted to compare the number of accidents between 2018 and 2019 on three major US holidays, Christmas/New Years and Thanksgiving,  to see if there were any significant differences. After creating two line charts with both 2018 and 2019 traffic data, we were able to see that there was a significant spike in accidents on the days leading up to Christmas, and Thanksgiving. There was also a significant spike on New Years Day. These spikes are consistent across both 2018 and 2019. This could be attributed to the increase of travel and population density that occurs during these holidays, as well as the drinking culture that surrounds New Years, especially in a larger city like San Diego."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "dateLR = result_df.groupby('date').size()\n",
    "dateLR = dateLR.to_frame()\n",
    "#performed groubpy to get number of accidents on a date\n",
    "dateLR['DateLR'] = dateLR.index\n",
    "dateLR['DateLR'] = pd.to_datetime(dateLR.DateLR)\n",
    "\n",
    "dateLR = dateLR.sort_values(by=['DateLR'])\n",
    "dateLR.drop(['DateLR'],axis=1)\n",
    "grabINFO = result_df.copy()\n",
    "grabINFO = grabINFO.set_index('date')\n",
    "dateLR['rain'] = np.nan\n",
    "dateLR['temp'] = np.nan\n",
    "for index, row in dateLR.iterrows():\n",
    "    v1 = grabINFO.loc[str(index)]['rainfall'].iloc[0]\n",
    "    if v1 > 0:\n",
    "        v1 = 1\n",
    "    else:\n",
    "        v1 = 0\n",
    "    dateLR['rain'].loc[index] = v1\n",
    "    v2 = grabINFO.loc[str(index)]['temp'].iloc[0]\n",
    "    dateLR['temp'].loc[index] = v2\n",
    "\n",
    "dateLR = dateLR.rename(columns={0: \"accidentCount\"})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "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>accidentCount</th>\n",
       "      <th>DateLR</th>\n",
       "      <th>rain</th>\n",
       "      <th>temp</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1/18/2018</th>\n",
       "      <td>15</td>\n",
       "      <td>2018-01-18</td>\n",
       "      <td>0.0</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/19/2018</th>\n",
       "      <td>26</td>\n",
       "      <td>2018-01-19</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/20/2018</th>\n",
       "      <td>19</td>\n",
       "      <td>2018-01-20</td>\n",
       "      <td>1.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/21/2018</th>\n",
       "      <td>23</td>\n",
       "      <td>2018-01-21</td>\n",
       "      <td>0.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/22/2018</th>\n",
       "      <td>31</td>\n",
       "      <td>2018-01-22</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/19/2020</th>\n",
       "      <td>16</td>\n",
       "      <td>2020-01-19</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/20/2020</th>\n",
       "      <td>10</td>\n",
       "      <td>2020-01-20</td>\n",
       "      <td>1.0</td>\n",
       "      <td>16.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/21/2020</th>\n",
       "      <td>13</td>\n",
       "      <td>2020-01-21</td>\n",
       "      <td>1.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/22/2020</th>\n",
       "      <td>12</td>\n",
       "      <td>2020-01-22</td>\n",
       "      <td>0.0</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1/23/2020</th>\n",
       "      <td>9</td>\n",
       "      <td>2020-01-23</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>736 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           accidentCount     DateLR  rain  temp\n",
       "date                                           \n",
       "1/18/2018             15 2018-01-18   0.0  21.0\n",
       "1/19/2018             26 2018-01-19   1.0  16.0\n",
       "1/20/2018             19 2018-01-20   1.0  14.0\n",
       "1/21/2018             23 2018-01-21   0.0  15.0\n",
       "1/22/2018             31 2018-01-22   0.0  17.0\n",
       "...                  ...        ...   ...   ...\n",
       "1/19/2020             16 2020-01-19   0.0  20.0\n",
       "1/20/2020             10 2020-01-20   1.0  16.0\n",
       "1/21/2020             13 2020-01-21   1.0  14.0\n",
       "1/22/2020             12 2020-01-22   0.0  17.0\n",
       "1/23/2020              9 2020-01-23   0.0  20.0\n",
       "\n",
       "[736 rows x 4 columns]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#prepared for linear regression\n",
    "dateLR"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Rain and the Frequency of Accidents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:          accidentCount   R-squared:                       0.009\n",
      "Model:                            OLS   Adj. R-squared:                  0.007\n",
      "Method:                 Least Squares   F-statistic:                     6.532\n",
      "Date:                Mon, 16 Mar 2020   Prob (F-statistic):             0.0108\n",
      "Time:                        21:43:04   Log-Likelihood:                -2324.7\n",
      "No. Observations:                 736   AIC:                             4653.\n",
      "Df Residuals:                     734   BIC:                             4663.\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     25.2704      0.264     95.648      0.000      24.752      25.789\n",
      "rain          -1.1148      0.436     -2.556      0.011      -1.971      -0.258\n",
      "==============================================================================\n",
      "Omnibus:                        6.703   Durbin-Watson:                   1.681\n",
      "Prob(Omnibus):                  0.035   Jarque-Bera (JB):                6.623\n",
      "Skew:                           0.205   Prob(JB):                       0.0365\n",
      "Kurtosis:                       3.218   Cond. No.                         2.42\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "outcome_1, predictors_1 = patsy.dmatrices('accidentCount ~ rain', dateLR)\n",
    "mod_1 = sm.OLS(outcome_1, predictors_1)\n",
    "res_1 = mod_1.fit()\n",
    "print(res_1.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this figure we wanted to see if rain was correlated with traffic accidents. We conducted an ANOVA on the dataset and got a f-statistic of 6.532. This value by itself doesn’t mean much, so we calculated the P-value, which turned out to be 0.011. Since 0.011 < 0.05 we can say that there is correlation between rain and traffic accidents in San Diego, and the results can be considered statistically significant."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Temperature and Frequency of Accidents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:          accidentCount   R-squared:                       0.030\n",
      "Model:                            OLS   Adj. R-squared:                  0.029\n",
      "Method:                 Least Squares   F-statistic:                     22.90\n",
      "Date:                Mon, 16 Mar 2020   Prob (F-statistic):           2.06e-06\n",
      "Time:                        21:43:05   Log-Likelihood:                -2314.0\n",
      "No. Observations:                 735   AIC:                             4632.\n",
      "Df Residuals:                     733   BIC:                             4641.\n",
      "Df Model:                           1                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     19.9792      1.041     19.195      0.000      17.936      22.023\n",
      "temp           0.2375      0.050      4.786      0.000       0.140       0.335\n",
      "==============================================================================\n",
      "Omnibus:                        8.053   Durbin-Watson:                   1.718\n",
      "Prob(Omnibus):                  0.018   Jarque-Bera (JB):                7.982\n",
      "Skew:                           0.235   Prob(JB):                       0.0185\n",
      "Kurtosis:                       3.200   Cond. No.                         105.\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "outcome_1, predictors_1 = patsy.dmatrices('accidentCount ~ temp', dateLR)\n",
    "mod_1 = sm.OLS(outcome_1, predictors_1)\n",
    "res_1 = mod_1.fit()\n",
    "print(res_1.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The figure above represents a weak correlation between temperature and the frequency of accidents that occured on a daily temperature. We noticed that correlation between these variables is non-existing since our P-value was very close to 0. We were unable to provide sufficient evidence to conclude that car accidents in San Diego increase as the average daily temperature increases. Our prediction that daily average temperature would affect people’s driving was not supported since we found in our models that there is no significant correlation between the two variables."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Temperature, Rain, and the Frequency of Accidents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                            OLS Regression Results                            \n",
      "==============================================================================\n",
      "Dep. Variable:          accidentCount   R-squared:                       0.033\n",
      "Model:                            OLS   Adj. R-squared:                  0.030\n",
      "Method:                 Least Squares   F-statistic:                     12.36\n",
      "Date:                Mon, 16 Mar 2020   Prob (F-statistic):           5.24e-06\n",
      "Time:                        21:43:05   Log-Likelihood:                -2313.1\n",
      "No. Observations:                 735   AIC:                             4632.\n",
      "Df Residuals:                     732   BIC:                             4646.\n",
      "Df Model:                           2                                         \n",
      "Covariance Type:            nonrobust                                         \n",
      "==============================================================================\n",
      "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     20.5815      1.133     18.163      0.000      18.357      22.806\n",
      "rain          -0.6009      0.448     -1.341      0.180      -1.481       0.279\n",
      "temp           0.2190      0.052      4.251      0.000       0.118       0.320\n",
      "==============================================================================\n",
      "Omnibus:                        7.181   Durbin-Watson:                   1.725\n",
      "Prob(Omnibus):                  0.028   Jarque-Bera (JB):                7.060\n",
      "Skew:                           0.226   Prob(JB):                       0.0293\n",
      "Kurtosis:                       3.163   Cond. No.                         116.\n",
      "==============================================================================\n",
      "\n",
      "Warnings:\n",
      "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
     ]
    }
   ],
   "source": [
    "outcome_1, predictors_1 = patsy.dmatrices('accidentCount ~ rain + temp', dateLR)\n",
    "mod_1 = sm.OLS(outcome_1, predictors_1)\n",
    "res_1 = mod_1.fit()\n",
    "print(res_1.summary())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we wanted to figure out if there was a correlation between temperature, rainfall and traffic accidents in San Diego. After inputting the data into the algorithm we got that the P-value for rain and traffic accidents is 0.180, which was larger than when we calculated if rain correlated with traffic accidents. The P-value for temperature remained the same between this and the previous calculation meaning that there is no significant correlation between temperature and traffic accidents. Based on these results, we can conclude that there is no significant correlation between temperature, rainfall and the frequency of traffic accidents in San Diego."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Lethal Accidents"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Time of Day and the Frequency of Lethal Accidents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.032329\n",
      "         Iterations 9\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:              killedLog   No. Observations:                18298\n",
      "Model:                          Logit   Df Residuals:                    18296\n",
      "Method:                           MLE   Df Model:                            1\n",
      "Date:                Mon, 16 Mar 2020   Pseudo R-squ.:                0.004975\n",
      "Time:                        21:43:35   Log-Likelihood:                -591.56\n",
      "converged:                       True   LL-Null:                       -594.52\n",
      "                                        LLR p-value:                   0.01501\n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     -5.4881      0.149    -36.739      0.000      -5.781      -5.195\n",
      "timeLog        0.5015      0.206      2.434      0.015       0.098       0.905\n",
      "==============================================================================\n"
     ]
    }
   ],
   "source": [
    "result_df['timeLog'] = result_df['date_time'].apply(binaryDayNight)\n",
    "result_df['killedLog'] = result_df['killed'].apply(killed)\n",
    "result_df['weatherLog'] = rainfallLog(result_df)\n",
    "y, X = patsy.dmatrices('killedLog ~ timeLog', result_df, return_type = 'dataframe')\n",
    "logitfit = sm.Logit(y,X).fit()\n",
    "print(logitfit.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                  0         1\n",
      "Intercept -5.780889 -5.195333\n",
      "timeLog    0.097673  0.905318\n"
     ]
    }
   ],
   "source": [
    "print(logitfit.conf_int())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For this section we wanted to figure out if the time of day the accident occurred was correlated to the frequency of lethal accidents. So we used the number of observations and calculated that the P-value is 0.015. Since this value is less than 0.05, this means that the time of day that the accident occurred is correlated to the frequency of lethal accidents. This could be attributed to an increase in inebriated drivers, drowsy or under the influence, at night due to parties or late work hours. In addition the percentage relating to accidents at a time considered night is 90 percent, which means that accidents are likely to happen at night or when it simply is just dark."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Weather, Time of Day, and the Frequency of Lethal Accidents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Optimization terminated successfully.\n",
      "         Current function value: 0.032325\n",
      "         Iterations 9\n",
      "                           Logit Regression Results                           \n",
      "==============================================================================\n",
      "Dep. Variable:              killedLog   No. Observations:                18298\n",
      "Model:                          Logit   Df Residuals:                    18295\n",
      "Method:                           MLE   Df Model:                            2\n",
      "Date:                Mon, 16 Mar 2020   Pseudo R-squ.:                0.005106\n",
      "Time:                        21:44:08   Log-Likelihood:                -591.48\n",
      "converged:                       True   LL-Null:                       -594.52\n",
      "                                        LLR p-value:                   0.04806\n",
      "==============================================================================\n",
      "                 coef    std err          z      P>|z|      [0.025      0.975]\n",
      "------------------------------------------------------------------------------\n",
      "Intercept     -5.4584      0.167    -32.773      0.000      -5.785      -5.132\n",
      "timeLog        0.5013      0.206      2.433      0.015       0.097       0.905\n",
      "weatherLog    -0.0854      0.218     -0.393      0.695      -0.512       0.341\n",
      "==============================================================================\n"
     ]
    }
   ],
   "source": [
    "result_df['timeLog'] = result_df['date_time'].apply(binaryDayNight)\n",
    "result_df['killedLog'] = result_df['killed'].apply(killed)\n",
    "result_df['weatherLog'] = rainfallLog(result_df)\n",
    "y, X = patsy.dmatrices('killedLog ~ timeLog + weatherLog', result_df, return_type = 'dataframe')\n",
    "logitfit = sm.Logit(y,X).fit()\n",
    "print(logitfit.summary())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                   0         1\n",
      "Intercept  -5.784814 -5.131953\n",
      "timeLog     0.097432  0.905084\n",
      "weatherLog -0.512055  0.341176\n"
     ]
    }
   ],
   "source": [
    "print(logitfit.conf_int())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we wanted to figure out how weather affected the frequency of lethal accidents. We calculated to see if weather and time correlated to lethal accidents. According to the results, lethal accidents are more likely to occur at night and even more so while it is raining. Despite this data, we calculated a P-value of 0.695 for weather and lethal accidents meaning there is no correlation between weather and lethal accidents. These results came as a surprise as it was hypothesized that rain would lead to more lethal accidents due to worse road conditions and decreased visibility."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.02, 'Lethal Accidents When its Raining')"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "nwDF = result_df[(result_df['killed'] > 0)  & (result_df['rainfall'] > 0)]\n",
    "plt.figure(figsize=(10, 6))\n",
    "ax = sns.countplot(x=\"day/night\", data=nwDF)\n",
    "ax.set_ylabel('Lethal Accidents')\n",
    "ax.set_xlabel('Time of Accident')\n",
    "ax.set_title(\"Lethal Accidents When its Raining\", y=1.02, fontsize=22)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ethics & Privacy\n",
    "The dataset is ethical because it is a public domain accessed via formal request from  federal and local agencies, which means that it can be easily verified and open to use. The data protects the privacy of those involved as it does not label specific individuals but rather a general location the accident occurred in. The beat number identifier could be used to track who reported to the scene, however, police records are not open to the public. Additional tracking information such as names and license plates of those involved in accidents are not provided in the dataset, keeping all individuals involved anonymous ergo protecting their privacy. Since we are unable to account for the number of people involved in the accidents, we are unable to assess the severity of each accident. This makes us unable to tell the difference between severe accidents or a small crash."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusion & Discussion\n",
    "Based on the data above, we can conclude that most traffic accidents occurred on days where there was no rain. On days where there was rain, most accidents occurred in the afternoon and more lethal accidents occured at night. There is no correlation between average temperature and accidents while there is a correlation between rainfall and accidents, but only at night. There are less accidents on holidays than surrounding days, except for New Years day which saw a significant spike in the number of accidents. Accidents are more likely to happen on roads than freeways and these accidents happen on major roads with lots of daily business. A surprising observation was that there are some areas such as near the airport that are completely void of any traffic accidents. This leads us to conclude that there are many accidents that are either minor in nature or just not reported to the police. Based on the linear regression tests that we conducted we can conclude that there is a correlation between rain and the frequency of traffic accidents and a correlation between the time of day and the frequency of lethal accidents. However we found no correlation between the temperature and the frequency of traffic accidents, no correlation between overall weather and the frequency of traffic accidents. Our hypothesis that rainfall and time of day affected the frequency of traffic accidents in San Diego was supported by the data. Despite this, our hypothesis was incorrect in terms of temperature and our belief that mornings led to more traffic accidents. Temperature was not correlated with the frequency of traffic accidents at all and out of the four times of day on rainy days (morning, afternoon, evening, night), the mornings were the second least likely time to be in an accident, beat only by the evenings where most people would be at home.<br><br>\n",
    "Limitations: Time is a significant limitation as given more time to delve into the project, more geospatial analysis could have been done; but due to lack of knowledge and resources  as well it was hard to go down that route. Another limiting factor was figuring out  which of the various API’s to use and how to merge information from several API sources into one usable dataset, which kind of got in the way of making progress. A limitation within the dataset itself was the type of information that was present in the dataset. There could be a possible confound in that there may be other law enforcement agencies taking traffic incident reports that were not in the API that we were able to locate and utilize. There was no information about gender or age that could be used to compare. In addition there was also no information about car makes, models or color, no information on the types of pedestrians that may have been involved or whether they were on things such as bicycles or e-scooters or just walking, which may have been useful to delve into and see correlations. We don’t necessarily know if a vehicle was a motorcycle or it was a semi-truck. Since this dataset also comes from traffic accidents that were reported to the police, we can assume that there are other accidents that are not reported which can lead to error in our data. Overall road conditions such as construction, potholes or road markings are not recorded in accident reports as well. These could have been a factor in some of the accidents, but since it was not included in the police report, we were unable to address it despite its inclusion in our hypothesis. In addition, the original dataset itself was missing important information such as weather data as well as exact location and even formatting relative classifiers, building up the dataset to a more proper form was a major challenge."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Team Contributions\n",
    "Data Cleaning, Lead Programmer, Conclusion: Karim Dabboussi<br>\n",
    "Data Formatting, Data Analysis, Ethics, Conclusion: Brent Kimura<br>\n",
    "Background, Data Analysis: Stjepan Kilic<br>\n",
    "Data Analysis, Background, Visualizations: Marco Aceves<br>\n",
    "Data Sourcing, Hypothesis, Ethics, Conclusion: Amanda Bustamante<br>"
   ]
  }
 ],
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