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Last active January 4, 2016 02:09
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FARS Traffic Fatality Analysis
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{
"metadata": {
"name": ""
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"worksheets": [
{
"cells": [
{
"cell_type": "heading",
"level": 2,
"metadata": {},
"source": [
"Exploring Traffic Fatalities in the US"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"By Ben Van Dyke, January 2014\n",
"\n",
"At the most recent [ChiPy](http://www.chipy.org) event, [Nick Bennett](https://github.com/tothebeat) gave an excellent talk on traffic fatalities and attempting to visualize the publicly available data. The accompanying GitHub [repo](http://tothebeat.github.io/fatal-car-crashes/) shows how he accessed and manipulated some of the data with Python tools and then used a couple different web mapping services to visualize it. The talk prompted some informative comments from the audience and inspired me to further analyze the data. \n",
"\n",
"The [National Highway Traffic Safety Administration](http://www.nhtsa.gov/) (NHTSA) maintains a fatality dataset called the [Fatality Reporting System](http://www-fars.nhtsa.dot.gov/Main/index.aspx) (FARS). It contains a lot of detailed information about every fatal traffic crash in the US including the time of day, location with latitude and longitude, roadway type, and more. After tracking down the documentation and figuring out what a [dBase](http://en.wikipedia.org/wiki/DBase) file was, I was ready to dig into the data. This IPython notebook will hopefully provide some helpful Python analysis techniques as well as raise awareness of the very serious societal problem of roadway injury and death."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"import pandas as pd\n",
"import numpy as np\n",
"from __future__ import division, print_function"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Load the data into pandas DataFrame\n",
"fatality_frame = pd.read_csv('accident.csv')"
],
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 2
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"I copied Nick's work and used the [dbfpy](http://dbfpy.sourceforge.net/) library to convert the FARS 2012 [data](ftp://ftp.nhtsa.dot.gov/fars/2012/) into csv form. The FARS data file is called *ACCIDENT*, like many others I consider that to be an inaccurate term to describe a motor vehicle crash. This terminology implies that we have no control over these events, when in fact we do. Criminal acts such as reckless driving are not accidents and should not be excused as some inevitable trapping of modern life. "
]
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"High-Level Analysis"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Number of traffic fatalities in the US in 2012 using pandas DataFrame sum function\n",
"total_traffic_fatalities = fatality_frame.FATALS.sum()\n",
"print(\"2012 Traffic Fatalities: \", total_traffic_fatalities)"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"2012 Traffic Fatalities: 33561\n"
]
}
],
"prompt_number": 3
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"There were **33,561** traffic fatalities in the US in 2012, or a little more than 11 for every 100,000 people. To put that in perspective, 39,260 women died from breast cancer and 29,720 men died from prostate cancer in 2013 (American Cancer Society [pdf](http://www.cancer.org/acs/groups/content/@epidemiologysurveilance/documents/document/acspc-037115.pdf)). The fight against these cancers generates a lot of public awareness and fundraising, here in Chicago the lights on top of skyscrapers turn pink for a month every year. There is a startling lack of public outcry about the number of people dying in traffic crashes at rates comparable to common forms of cancer.\n",
"\n",
"In fact, traffic fatalities are the second-leading cause of death due to injury (non-health and disease related) in the US. The CDC has death [statistics](http://wonder.cdc.gov/) through the year 2010, here's the bar plot showing fatality rates by injury."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Load CDC death rate data\n",
"cdc_injury_frame = pd.read_csv('cdc_injuries_2010.txt',delimiter='\\t')\n",
"\n",
"# Calculate death rate to due to NaN and string values\n",
"cdc_injury_frame['Rate'] = cdc_injury_frame['Deaths']\\\n",
" / (cdc_injury_frame['Population'] / 100000)\n",
"# Sort descending\n",
"cdc_sort = cdc_injury_frame.sort(columns='Rate', ascending=False)\n",
"\n",
"figure(figsize=(12,4))\n",
"N = len(cdc_injury_frame)\n",
"ind = np.arange(N)\n",
"width = 0.4\n",
"rects = bar(ind, cdc_sort['Rate'],\n",
" color='firebrick',edgecolor='firebrick')\n",
"ylim([0,16])\n",
"xticks(ind + width, \n",
" list(cdc_injury_frame['Injury Mechanism & All Other Leading Causes'][cdc_sort.index]),\n",
" rotation=90)\n",
"title('US Death Rates by Injury Cause, 2010', fontsize=16)\n",
"ylabel('Deaths per 100k people')\n",
"grid(b=True, axis='y')\n",
"\n",
"def autolabel(rects):\n",
" # attach some text labels\n",
" for rect in rects:\n",
" height = rect.get_height()\n",
" text(rect.get_x()+rect.get_width()/2., height + .2, '%0.1f'%height,\n",
" ha='center', va='bottom', fontsize=14, color='black')\n",
"autolabel(rects)\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
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oS2pdXFwQFxcn7+fHH3/EsGHD4OzsjE6dOhX7s1NSa9aswfDhw/Hll19i4sSJhY7LtkL8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\nRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x4220450>"
]
}
],
"prompt_number": 4
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Motor vehicle traffic has the second highest bar in the chart. In addition, the pedestrian and pedal cyclist rates should be included in this number as it's motor vehicles that are killing pedestrians and cyclists. Drug-related deaths make up the [majority](http://www.cdc.gov/mmwr/preview/mmwrhtml/mm6212a7.htm) of poisoning deaths, and this number has increased substantially in recent years due to increased usage of painkillers such as Oxycontin. \n",
"\n",
"Motor vehicles kill at a higher rate than firearms and a comparable rate to drugs. Both of these other issues are discussed at length in the news media and by policymakers. We have a decades-long [War on Drugs](http://en.wikipedia.org/wiki/War_on_Drugs) and recent renewed efforts on [restricting](http://en.wikipedia.org/wiki/Federal_Assault_Weapons_Ban) assault weapons. \n",
"\n",
"**Why is there not a similar reaction to the death toll caused by our driving culture?**\n",
"\n",
"That's a difficult question to answer. Certainly the automobile industry is very important source of economic activity and pride in American engineering and business achievement. The construction of the interstate system through urban areas and accompanying white flight to car-oriented suburbs are probably part of the reason, as well. Since the 1950's, the majority of the built environment in this country has been designed specifically to increase the capacity for automobile travel, often at the expense of other modes. Perhaps we've become so dependent on our cars that we can't confront their deadly impact on our society at large. This is a question that can't be answered by a dataset or some pretty charts, but I think it's important to consider at the same time.\n",
"\n",
"So 33,561 is certainly a large number, how does it compare to other countries in our peer group? The [World Health Organization](http://www.who.int/en/) has that [data](http://apps.who.int/gho/data/node.main.A997)."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Load the traffic fatality data for selected countries\n",
"# Rates are deaths per 100,000 people\n",
"world_vehicle_fatality_frame = pd.read_csv('world_death_rates.csv')\n",
"figure(figsize=(8,5))\n",
"\n",
"N = len(world_vehicle_fatality_frame)\n",
"ind = np.arange(N)\n",
"width = 0.4\n",
"\n",
"rects = bar(ind, world_vehicle_fatality_frame.Death_Rate, \n",
" color='gray', edgecolor='gray')\n",
"ylabel(\"Traffic Deaths / 100,000 people\")\n",
"title(\"Traffic Death Rates, 2010\", fontsize=16)\n",
"xticks(ind + width, world_vehicle_fatality_frame.Country)\n",
"\n",
"def autolabel(rects):\n",
" # attach some text labels\n",
" for rect in rects:\n",
" height = rect.get_height()\n",
" text(rect.get_x()+rect.get_width()/2., height - .3, '%0.1f'%height,\n",
" ha='center', va='top', fontsize=14, color='w')\n",
"autolabel(rects)\n",
"grid(b=True, axis='y')\n",
"\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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fv2PHjinUv3DhgggLCxNmZmbC2tpaREZGVpixL4SosJ3yx+XvR7n09HQxefJkYWNjI0xN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\nzxAAAAAASUVORK5CYII=\n",
"text": [
"<matplotlib.figure.Figure at 0x4230750>"
]
}
],
"prompt_number": 5
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The US does not compare favorably at all against other wealthy countries with large populations, even other countries with high automobile share such as Australia and Canada have nearly half the traffic death rate. The US is [wealthier](http://en.wikipedia.org/wiki/List_of_countries_by_GDP_%28PPP%29_per_capita) than the other nations in the chart, why is our rate so much larger?\n",
"\n",
"It's also worth pointing out, however, that traffic fatality rates have been declining in the US. As recently as 2005, there were more than [40,000](http://www-fars.nhtsa.dot.gov/Trends/TrendsGeneral.aspx) fatalities.\n"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Load FARS fatality time series\n",
"fatality_trend_frame = pd.read_csv('fatal_trends.txt',delimiter='\\t')\n",
"figure(figsize=(8,3))\n",
"\n",
"plot(fatality_trend_frame['Fatality Rate per 100,000 Population'], linewidth=2.5)\n",
"\n",
"xticks(np.arange(len(fatality_trend_frame)), fatality_trend_frame.Year,rotation=45)\n",
"\n",
"ylim([0, 18])\n",
"xlim([0, len(fatality_trend_frame)-1])\n",
"title('Fatality Rate per capita, 1994 - 2011', fontsize=16)\n",
"ylabel('Deaths per 100k people')\n",
"grid(b=True)\n",
"\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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c4OB3GwdBJAS50k6UlPf56VOhba9fl+6yydzct5MtaSu5uUB0tPD4328aEX19\n4RLM/AG/Xj3hu30f59dgdIsif7E3adKk6DfJZJxjZxhGCcXJwevXQqrh9Wvlv9+lLDlZ2J4qGBsr\nPypVKlhWXLmxsXDCEhUlDNK8e1dI75QGQ0Nhgq38Ab9ePaBaNd0arMlIi0a64mNiYop9o9S3mVPA\ngZ1hmNxcIZjmPwGQy4sP1IaG0ufviYReCUWQzxvw791TvjqjOCpVEiZZyhvs69cHmjUr3SWZjG4j\naeyjUhAfH08HDhygQ4cOUXx8fGneQqNGjSI7Oztq3LhxgdeWL19OMpmMXr58WeC1UlapzAQFBWnE\no0kXe7TfpWseTbq00ZOTQxQbS3TqFNH69URTphD17EnUoAGRgQGRcFpQ1COIACI9PSJ3d6IvvyTa\nupXo1i1hu+XVJvZo3kMkbewrMce+efNmLFy4EB07dgQA+Pn54dtvv8Xnn39e7PtGjRqFCRMmYMSI\nEUrlcXFxOHnyJGrVqqXyyQjDMIw2IJcLeXVHx4LjNnJyhEsy8//Kv3tXyN0rbjGdkyPMORAZCfz8\ns1BmYSGM+WjdGmjTRnhW3I2SYUqixFHxLi4uuHDhgnh71ZcvX6Jt27aIiooqceP578cOAJ999hnm\nzp2L3r17IywsDFWqVFGuEHfFMwyj4ygGUl6/Lty86eJF4MqVgjdsykudOm+DfOvWgLs73ztBl9Do\nqHgbGxuY5bmHp5mZGWxUPHU8ePAgatSogaZNmxa7no+Pj5jDt7S0hLu7u3jJQXBwMADwMi/zMi+/\n18v16gGPHwfD2xvw9/dCdjYQGBiMW7eAhAQvXLoE3LolrA94/e+OjMH4v/8Tlg0NAWfnYDRsCPTv\n74XWrYGHD4Mhk2lH+3i5+OXg4GAEBAQAUMOYtZL66ocNG0bu7u40b948mjdvHrm7u9OIESNo+fLl\n9MMPPxT73ujoaDHHnpqaSq1ataKkpCQiInJycqIXL14UeE8pqiQJnINkT3m4dM2jSVdF9CQmEp08\nSfTdd0SffEJka1t83t7Wlujjj4n++1+iEyeE95fWJQXsUR0pY1+Jv9idnZ3h7OwsTkjTu3dvyGQy\npLzjFF73799HTEwM3NzcAACPHj2Ch4cHQkNDYWdn984nJAzDMLqOhQXQpYvwAITwHRPztvv+0iUg\nPFyYKwEAnj8HjhwRHgoaNgRq1RJy+Z06ae+sf4x0lPp+7MnJyQAAc3PzUm+8sBy7gtq1a3OOnWEY\npoxkZABfFjR8AAAgAElEQVRXrwpBXhHw798vfN127YBvvwU++ogDvLYhZewrcbqE69evo1mzZnB1\ndYWrqys8PDxw48aNEjc8ePBgtGvXDlFRUXB0dMTWrVuVXlfXlLQMwzAVCSMjYQT9hAnA9u3CtfWK\nX+6KIF6pkrDu+fNA9+7CILwjR1SfBIjRckrqq2/Tpg2dPn1aXA4KCqK2bdtKlgvITymqJAmcg2RP\nebh0zaNJF3tUZ//+IJo5k8jMTDkn37w50YEDRLm50nh07bN7X3PsJf5iT0tLE69hB4TRfKmlnV+R\nYRiGKXcsLYHFi4X8/Jw5wk11ACE/36ePMPvd3r2lm+uf0X5KzLH36dMHHh4eGD58OIgIO3bsQFhY\nGPbv36+eCnGOnWEYRq0kJAA//QSsXKl8Mx5XV2DuXKB/f76ZjabR6G1bX716hXnz5uHcuXMAgPbt\n22P+/PmwsrKSpAIFKsSBnWEYRiMkJQFr1gA//gi8evW2vEED4Zf9wIHS3KKWKRmNDp6rUqUKVq9e\njZCQEISHh2PVqlVqC+qaRDFRgC652KP9Ll3zaNLFHuldFhbA7NlCF/3337+dtvbOHWDYMKBRIyAw\nEMjOLptHanTNIzUlBvbz58+jUaNGaNCgAQDg6tWr+Oqrr9ReMYZhGEYzmJsD06cLAX75ckAxtcjd\nu4CPj3AXui1bhKlwGe2nxK74Vq1aYc+ePejduzciIiIAAK6urrh586Z6KsRd8QzDMOVKWhqwaRPg\n7w/Ex78tr1ULmDULGDmS56mXGo12xQNAzZo1lZb1OenCMAyjs5iYAF9/DTx4IOTga9QQyh8+BMaO\nFe4lv25d6e9Fz2iWEgN7zZo1xYFzmZmZWL58ORo2bKj2iqkbbchvsUc7PJp06ZpHky72aN5lbAyM\nHy9MevPzz4DiN15cnFDu7CyMrn/zpmyed0XXPFJTYmBfv3491q5di8ePH6N69eqIiIjA2rVrNVE3\nhmEYRgswMhJ+qd+9C2zeDNSuLZQ/eSL8sq9dWxhZz7/gtYNSzxWvKTjHzjAMo91kZQE7dgCLFgm/\n5hXY2gKTJwsnAfluA8KUgEZz7Pfv30fPnj1hY2MDW1tb9O7dGw8ePChxw76+vrC3t0eTJk3EsqlT\np6Jhw4Zwc3NDv379kJSUVLbaMwzDMBrHwEAYLX/7NrBtmzBqHhDmqJ81C3B0FOauzxv0Gc1RYmAf\nMmQIBgwYgPj4eDx58gSfffYZBg8eXOKGR40ahWPHjimVffTRR7h58yauXr0KFxcXLFmyRPWal5H3\nIb/FHs14NOnSNY8mXezRPpe+vnC9+82bwM6dQO3agictTRh05+IC9O0LhIRIe8MZXfyOpKTE4e1v\n3rzB8OHDxeVhw4Zh2bJlJW64ffv2iImJUSrr2rWr+Hfr1q2xd+/eQt/r4+MDJycnAIClpSXc3d3h\n5eUF4O0HXdZlBVJtr7jlyMhItW5f08u61p68qNsXGRmpU+3Rxf1B19qTF3X6Bg0C4uMjkZ0NnDrl\nhePHAaJgHDgAHDjghZYtge7dg9GhA9Cli/a3B1Dv/2twcDACAgIAQIx3UlFijn369OmwtLQUf6Xv\n3r0bCQkJmDZtGgAUuJ96Xoq7H3vPnj0xePBgDBkyRLlCnGNnGIZ577lxA1ixQriVbGbm23JHR2Di\nROCLL4SZ7xgBjc4V7+TkVOS902UyWbH59qIC+6JFixAeHl7oL3YO7AzDMLrDv/8K17yvWwe8ePG2\n3MwMGD1aCPKKUfYVGY0OnouJiUF0dHShj9IMostPQEAAjh49ih07dqhUYanI36WjCy72aL9L1zya\ndLFH+12FeeztgQULgNhYYONG4QYzAJCSItxdrm5dYMAA4OLFsnnUgSa/Iykp1cxzUnHs2DEsW7YM\nBw8ehLGxsSbVDMMwTDlSqZLQ/X7zJnDkCNC5s1Cemwv8/jvQti3Qrh2wZw+Qk1O+dX3fUdt17IMH\nD8aZM2fw4sUL2NvbY8GCBViyZAkyMzPFvHzbtm2xbt065QpxVzzDMEyF4OpVYWKbnTuVbzBTu7Yw\n8Y2vr3CDmoqARnPshUFERebdywoHdoZhmIrFkyfA2rXA+vVAQsLbcgsLYMwY4Zp4R8fyq58m0GiO\nfe7cuUrLOTk5GDp0qCTy8qSi5LfYo10uXfNo0sUe7Xep6qlWTZjFLi5OGGRXr55QnpQELFsm/IIf\nMgS4cqVsnndFZ3PscXFx4kQyGRkZ6NevH1xcXNReMYZhGKZiYWoKjBsH3LkDHDwIeHoK5Tk5Qnd9\ny5ZC2blznIcvjhK74nNzczF06FA0bdoUp0+fRo8ePTB58mT1VYi74hmGYZj/ERYm5OF/+w3Izn5b\nbm8vTGXr7AzUqaP8bG0NqClbrDY0kmMPCwsT8+hZWVkYO3Ys2rVrh9GjRwMAmjdvLkkFClSIAzvD\nMAyTj7g4YZraDRuELvriMDd/G+jzB/2aNYW57rUNjQR2Ly8vpQFy+QfMBQUFSVKBAhXSUGAPDg4W\np/nTFRd7tN+lax5Nutij/S5NeFJSgDlzgvHypRcePADu3xcmwSktenpCcM8f8BXPeWfD0+R3JGXs\nK3Ku+Pd10ADDMAyju5iZAX36AHnjbWoq8OABxECf9+/oaOVL6XJyhLLoaODUqYLbr1LlbZDX0xPu\nUFetGuDgIDzb2gJyjc4A8+4Um2O/ffs2Dh48iMePHwMAatSogV69eqFhw4bqqxB3xTMMwzASkZMD\nPH5ceNB/8AB4+fLdtqenJ+T3FcFeEfDzPjs4AHZ2wt3vSotGuuL9/f2xc+dODBo0CDVq1AAgjJDf\nvXs3Bg4ciJkzZ0pSgQIV4sDOMAzDaIikJOVAnzf4P3yo+uh7uVwI7vkDfv6/7e2FnL+ksY+KoG7d\nupSZmVmgPCMjg5ydnYt6W5kppkqSEhQUpBGPJl3s0X6Xrnk06WKP9rt0zXPyZBBFRxOdP0+0dy/R\n6tVEs2YR+fgQdetG1LQpkY0NkXC3edUeMhmRnZ20sa/IjgI9PT08fvy4wH1inzx5Aj09vRJPGHx9\nfXHkyBHY2dmJd3d79eoVBg4ciIcPH8LJyQm//fYbLC0ty3JewjAMwzBqQV8fcHISHsWRmSkM4Hvy\nBIiPf/uc9+8nT4Dnz4Vwnhci4NkzaetdZFf8sWPH4Ofnh7p168Lxf3P5xcXF4e7du1izZg28vb2L\n3XBISAjMzMwwYsQIMbBPmzYNNjY2mDZtGvz9/ZGQkIDvv/9euULcFc8wDMPoIFlZQhAvLPBv2qSh\nueJzcnIQGhqKJ0+eAACqV6+OFi1aQL+UIwLy34+9QYMGOHPmDOzt7fH06VN4eXnhzp07yhXiwM4w\nDMNUMDRyuRsgdMfXrl0bhoaGAIRR8aUN6oXx77//wt7eHgBgb2+Pf4u4+NDHx0dMAVhaWsLd3V28\nllBxGV5ZlxVlUm2vuOXIyEhMmjRJbdvP3xZuj/buDytXrlTL/sz7N7enuOX8Tt6/y789wcHBCAgI\nAIACKe8yU1TyPTw8nFq3bk3169enzp07U+fOnal+/frUunVrCgsLK1UCPzo6mho3biwuW1paKr1u\nZWVV4D3FVElSeOAKe8rDpWseTbrYo/0u9qiOlLGvyK54Nzc3bNy4Ea1bt1Yqv3jxIsaOHYurV6+W\neNJQWFd8cHAwqlativj4eHTs2JG74hmGYZgKj0Zu25qWllYgqANAmzZtkJqaqpKsV69eCAwMBAAE\nBgaiT58+Km2HYRiGYZjCKTKwe3t7o0ePHti9ezfOnz+Pc+fOYdeuXejRowe6d+9e4oYHDx6Mdu3a\n4Z9//oGjoyO2bt2KGTNm4OTJk3BxccHp06cxY8YMSRvzLuTN1eiKiz3a79I1jyZd7NF+F3u0gyJH\nwv300084evQoDh06JE4pW716dfj5+aFHjx4lbnjnzp2Flv/1118qVpVhGIZhmJIo8X7smoZz7AzD\nMExFQyM59uIYM2aMJHKGYRiGYaSlyMD+6tWrQh8vX77EkSNHNFlHtcD5LfaUh0vXPJp0sUf7XezR\nDorMsdvY2KBWrVqFvvb8+XO1VYhhGIZhGNUpMsdet25dnDp1qtDg7ujoiLi4OPVUiHPsDMMwTAVD\nIzn2SZMmISEhodDXpk6dKomcYRiGYRhpKTKw+/n5wd3dvdDXJk6cqLYKaQrOb7GnPFy65tGkiz3a\n72KPdqDSqHiGYRiGYbQTvo6dYRiGYcoZjV3HTkRqGyTHMAzDMIz0lNgV7+3tLbl0yZIlcHV1RZMm\nTTBkyBBkZGRI7igJzm+xpzxcuubRpIs92u9ij3ZQbGCXyWTw8PBAaGioZMKYmBhs2rQJ4eHhuH79\nOnJycrBr1y7Jts8wDMMwFZkSc+z169fHvXv3UKtWLZiamgpvkslw7do1lYSvXr1C27ZtcfHiRZib\nm6Nv3774+uuv0aVLF3HbnGNnGIZhKhJSxr4iZ55TcPz4cUlECqpUqYJvvvkGNWvWRKVKldCtWzcx\nqCvw8fGBk5MTAMDS0hLu7u7w8vIC8LZrhJd5mZd5mZd5+X1dDg4ORkBAAACI8U4yqBScPXuWtmzZ\nQkREz549owcPHpTmbYVy7949atiwIb148YKysrKoT58+tH37dvH1UlapzAQFBWnEo0kXe7TfpWse\nTbrYo/0u9qiOlLGvxMFz8+fPx9KlS7FkyRIAQGZmJoYNG6byicSVK1fQrl07WFtbQ19fH/369cP5\n8+dV3h7DMAzDMG8pMcfu5uaGiIgIeHh4ICIiAgDQtGlTlXPsV69exdChQ3H58mUYGxvDx8cHrVq1\nwvjx44UKcY6dYRiGqWBo9H7sRkZGkMvfrpaamlomoZubG0aMGIEWLVqgadOmAPj+7gzDMAwjFSUG\n9s8++wxjx45FYmIiNm7ciM6dO2P06NFlkk6bNg03b97E9evXERgYCAMDgzJtTxUUgxh0ycUe7Xfp\nmkeTLvZov4s92kGJo+KnTp2KEydOwNzcHFFRUfjvf/+Lrl27aqJuDMMwDMO8I6WaKz4+Ph6hoaGQ\nyWRo1aoVqlatqr4KcY6dYRiGqWBoNMe+efNmtG7dGvv27cPevXvRunVr/PLLL5LIGYZhGIaRlhID\n+9KlSxEREYHAwEAEBgYiPDwc/v7+mqibWuH8FnvKw6VrHk262KP9LvZoByUGdhsbG5iZmYnLZmZm\nsLGxUWulGIZhGIZRjRJz7MOHD8eNGzfQu3dvAMDBgwfRtGlTNG3aFDKZDFOmTJG2QpxjZxiGYSoY\nGp0r3tnZGc7OzpDJZACA3r17QyaTISUlRZIKMAzDMAwjIZJNTisRmqoSz9PMnvJw6ZpHky72aL+L\nPaojZewrMcfOMAzDMMz7Q6muY5eaxMREjB49Gjdv3oRMJsOWLVvQpk0boUKcY2cYhmEqGBrNsauD\nr7/+Gj169MCePXuQnZ1d5vnnGYZhGIYRKLErfurUqXj9+jWysrLQuXNn2NjYYNu2bSoLk5KSEBIS\nAl9fXwCAvr4+LCwsVN6eqvA1pOwpD5eueTTpYo/2u9ijHZT4i/3EiRNYtmwZ9u/fDycnJ+zbtw/t\n27fH8OHDVRJGR0fD1tYWo0aNwtWrV+Hh4YFVq1bBxMREXMfHxwdOTk4AAEtLS7i7u8PLywvA2w+6\nrMsKpNpeccuRkZFq3b6ml3WtPXlRty8yMlKn2qOL+4OutScvvH9rT3uCg4MREBAAAGK8k4oSc+yu\nrq64efMmPv/8c/Tv3x/e3t5wc3PD1atXVRJeuXIFbdu2xfnz59GyZUtMmjQJlStXxsKFC4UKcY6d\nYRiGqWBodK74nj17okGDBggLC0Pnzp3x7NkzGBsbqyysUaMGatSogZYtWwIA+vfvj/DwcJW3xzAM\nwzDMW0oM7N9//z3OnTuHsLAwGBoawtTUFAcPHlRZWLVqVTg6OiIqKgoA8Ndff8HV1VXl7alK/i4d\nXXCxR/tduubRpIs92u9ij3ZQqlHxd+7cwcOHD5GVlQVA6DIYMWKEytLVq1dj6NChyMzMhLOzM7Zu\n3arythiGYRiGeUuJOfZhw4bhwYMHcHd3h56enli+evVq9VSIc+wMwzBMBUPK2FdiYG/YsCFu3bol\nzhWvbjiwMwzDMBUNjQ6ea9y4MeLj4yWRaROc32JPebh0zaNJF3u038Ue7aDIHHvPnj0BACkpKWjU\nqBFatWoFIyMjAMKZxaFDhzRTQ4ZhGIZhSk2RXfGKM5XCugdkMhk8PT3VUyHuimcYhmEqGBrNsU+b\nNg1Lly5VKps+fTr8/f0lqUCBCnFgZxiGYSoYGs2xnzx5skDZ0aNHJZGXJ5zfYk95uHTNo0kXe7Tf\nxR7toMgc+/r167Fu3Trcv38fTZo0EcuTk5PxwQcfaKRyDMMwDMO8G0V2xSclJSEhIQEzZsyAv7+/\n2EVgbm4Oa2tr9VWIu+IZhmGYCoZGc+wKnj17hvT0dHG5Zs2aklSgQIU4sDMMwzAVDI3m2A8dOoR6\n9eqhdu3a8PT0hJOTE7y9vSWRlyec32JPebh0zaNJF3u038Ue7aDEwD5nzhxcuHABLi4uiI6OxqlT\np9C6desySXNyctCsWTPxWnmGYRiGYaShxK54Dw8PhIWFwc3NDeHh4dDT00PTpk1x7do1laU//vgj\nwsLCkJycXGCiG+6KZxiGYSoaGu2Kt7KyQnJyMtq3b4+hQ4di4sSJMDMzU1n46NEjHD16FKNHj+YA\nzjAMwzASU+JtWw8cOIBKlSph5cqV2L59O16/fo158+apLJw8eTKWLVuG169fF7mOj48PnJycAACW\nlpZwd3eHl5cXgLc5j7IuK8qk2l5xy5GRkZg0aZLatp+/Ldwe7d0fVq5cqZb9mfdvbk9xy/mdvH+X\nf3uCg4MREBAAAGK8kwwqBdHR0XTy5EkiIkpNTaXXr1+X5m0FOHz4MH311VdERBQUFESffPJJgXVK\nWaUyExQUpBGPJl3s0X6Xrnk06WKP9rvYozpSxr4Sc+wbN27Epk2b8OrVK9y/fx9RUVEYN24cTp06\n9c4nEbNmzcK2bdugr6+P9PR0vH79Gp9++il+/fVXcR3OsTMMwzAVDY1ex+7m5obQ0FC0adMGERER\nAIAmTZrg+vXrZRKfOXMGy5cvx+HDh5UrxIGdYRiGqWBodPCckZGReLtWAMjOzoZMJpNELtV2VCFv\nrkZXXOzRfpeueTTpYo/2u9ijHZQY2D09PbFo0SKkpaXh5MmT+OyzzyS5/tzT05Pv6c4wDMMwElNi\nV3xOTg5++eUXnDhxAgDQrVs3jB49Wm2/trkrnmEYhqloaHyu+GfPngEA7OzsJJEWWyEO7AzDMEwF\nQyM5diLC/PnzYWNjg/r166N+/fqwsbHBggULdCLwcn6LPeXh0jWPJl3s0X4Xe7SDIgP7ihUrcO7c\nOVy+fBkJCQlISEhAaGgozp07hxUrVmiyjgzDMAzDlJIiu+Ld3d1x8uRJ2NraKpU/f/4cXbt2RWRk\npHoqxF3xDMMwTAVDI13x2dnZBYI6ANja2iI7O1sSOcMwDMMw0lJkYDcwMCjyTcW99r7A+S32lIdL\n1zyadLFH+13s0Q6KvAnMtWvXYG5uXuhrb968UVuFGIZhGIZRnVJd7qZJOMfOMAzDVDQ0OqUswzAM\nwzDvDxoP7HFxcejYsSNcXV3RuHFj/PTTT5quAgDOb7GnfFy65tGkiz3a72KPdlBkjl1dGBgYYMWK\nFXB3d0dKSgo8PDzQtWtXNGzYUNNVYRiGYRidQ+OBvWrVqqhatSoAwMzMDA0bNsSTJ0+UAruPjw+c\nnJwAAJaWlnB3d4eXlxeAt2dQ79uyAnX6vLy8uD1avqwo05b68P5QMdrD+7f2tSc4OBgBAQEAIMY7\nqSjXwXMxMTHw9PTEzZs3YWZmJlSIB88xDMMwFQydGDyXkpKC/v37Y9WqVWJQ1yT5z8x1wcUe7Xfp\nmkeTLvZov4s92kG5BPasrCx8+umnGDZsGPr06VMeVWAYhmEYnUTjXfFEhJEjR8La2rrQm8lwVzzD\nMAxT0dD4/dil5O+//0aHDh3QtGlTyGQyAMCSJUvQvXt3oUIc2BmGYZgKxnudY//www+Rm5uLyMhI\nREREICIiQgzqmoTzW+wpD5eueTTpYo/2u9ijHfDMcwzDMAyjQ/Bc8QzDMAxTzrzXXfEMwzAMw6iP\nChvYOb/FnvJw6ZpHky72aL+LPdpBhQ3sDMMwDKOLcI6dYRiGYcoZzrEzDMMwDFMoFTawc36LPeXh\n0jWPJl3s0X4Xe7SDChvYIyMjdc7FHu136ZpHky72aL+LPdpBuQT2Y8eOoUGDBqhXrx78/f3LowpI\nTEzUORd7tN+lax5Nutij/S72aAcaD+w5OTnw8/PDsWPHcOvWLezcuRO3b9/WdDUYhmEYRifReGAP\nDQ1F3bp14eTkBAMDAwwaNAgHDx7UdDUQExOjcy72aL9L1zyadLFH+13s0Q40frnbnj17cPz4cWza\ntAkAsH37dly6dAmrV68WKvS/O74xDMMwTEVCqnCsL8lW3oGSAjdfw84wDMMwqqPxrvjq1asjLi5O\nXI6Li0ONGjU0XQ2GYRiG0Uk0HthbtGiBu3fvIiYmBpmZmdi9ezd69eql6WowDMMwjE6i8a54fX19\nrFmzBt26dUNOTg4+//xzNGzYUNPVqFAQEY9dYBiGqSBo3Vzx5UVubi7kct2arycqKgpVq1ZF5cqV\nNebUtZMIXdsvdO37AYRLaPX09Mq7GpKQkZEBIyMjtXsSEhJgZWWldo+m0dT/q7YfF7S3ZvnIyclR\n27YPHTqEb7/9VmMD954/f46srCy1Oo4fP47evXsjJCQEgPo+v+DgYCxfvhy7d+9GYmKi2oJGZGQk\n/vzzTzx69AipqakA1DvQMjY2FgkJCWrd7/KSnZ2t1u0/efIESUlJat/v7t27h6dPn+LFixdq9QDA\n5cuX8eTJE+jp6an1ewoKCsK1a9fUtn0FJ06cwJYtW5CUlKRWz6lTp/DVV1/h8ePHavUAwNWrV3Hr\n1i1ERUWp1RMXF4ekpCTk5uaq1aPp4wKg4rGBtJhTp07RwoULxeXs7GzJHceOHSN3d3c6efKk5Nsu\njP3799PgwYPp3r17lJubqxbH8ePHyd3dnby8vGjkyJFiudS+gwcPUtOmTek///kPDRkyhE6cOKEW\n14EDB6hx48b0+eef05QpU2jSpEn07NkzyT0K9u3bR61bt6auXbvSt99+S4cPH5bcQSS06+uvvxaX\ns7Ky1OI5dOgQeXp6UqdOnej777+nBw8eqMXzxx9/kIeHB/Xp04cWLlxIr1+/Vts+/uDBA6patSq1\natWKYmNjiUh9x4c6derQuXPnxDJ1tOnEiRPk4OCgdBxSh+fYsWNUs2ZNqlOnDp0/f15tHiKiw4cP\nU5MmTWjEiBE0ZswYiouLo5ycHMk9Bw4cIC8vLxo8eDAtWbKEjh49KrmDSHPHBaKyHxu0MrDn5ubS\nmzdvqEePHmRiYkKzZ88WX8vMzJTMExERQTVr1qR9+/YREdHLly8pPDycoqOjKSUlRTKPggsXLpCL\niwsFBQUVeE2qHf7UqVNUq1YtioyMJCKiFi1a0K+//irJtvOSnJxMvXv3ptDQUCIimjVrFq1YsYJu\n375NL1++JCJpDhhpaWk0YMAAunLlChERBQUFUcuWLWnEiBH09OnTMm8/P8+ePSNXV1e6cOECXbt2\njbZu3Uo9e/akHTt2SOq5ePEi1ahRgywsLGjw4MFiudTB/a+//qIGDRpQREQEnTlzhnx9fdVyQDp2\n7Bi5ublRaGgoRUZGUp8+fej58+dqCbZEwr41btw4GjlyJLVo0YLu3bsnuSMoKIjq169Pp06dIiKi\nlJQUyszMpIyMDMkcubm5lJmZSb6+vhQYGEhEwnHo0aNHdPfuXck8REKwaNasGd2+fZsCAwPJzc1N\n/F+Vmvv375OrqyuFh4fT06dPacSIERQXFyf5cfXhw4fUpEkTun79Ot2+fZt+/PFH6tChA+3fv19S\nj6aOC0TSHBs0PniuNMhkMhgbG2PEiBHo3r07Tp06hYkTJ+Knn36CgYGBZB5bW1vUqVMHL168QERE\nBPz8/GBtbQ1DQ0O4uLhgxowZkuan7927h549e8LLywtxcXH4+++/YWRkhDZt2qBatWqS5G2qVq2K\nnTt3ws3NDUSEoUOH4t69ewCkzQvJZDI8e/YMZ8+ehYODA3bv3o3GjRsjIiICb968wZo1a2BnZyeJ\n6+nTp7h+/To8PDzg5eUFd3d36Ovr4+eff8acOXMgl8slSwHo6+ujQYMGcHd3h7GxMRwdHWFlZYWt\nW7fCysoK3t7eknhevXqFVatWoV+/fmjWrBkGDRqEXbt2QV9fH9nZ2dDXl+Zf89q1axg/fjzc3d0B\nALdu3cKuXbvg7e0NmUwm2f5w584dLF68GC1btsSzZ89w/fp1fPnll6hTpw66du2Krl27SuIBhK5J\nIoKenh5Gjx6NCxcuwMfHB5MmTYKBgYFkV9lcvnwZVlZWaNu2LaKjozFr1ixkZWWhbt266NKlC7p0\n6VJmh0wmg4GBAWrXro06deogJSUF3t7ecHFxQVxcHPr164eJEydK0Brg0qVL8Pf3R4MGDVC1alWE\nhIQgLCwMXbt2lXycQmJiIqysrNCsWTMkJCTg3LlzmDhxIkxNTeHt7Y0hQ4ZI4klOToaNjQ0aN24M\nQBg7EBwcjMDAQFhZWcHT01MSj6GhoUaOC4DQhrIeG7Qyx07/y51mZWXh5s2bWLlyJe7evYvPPvsM\ngwYNQm5uLjIzM1XeflZWFt68eYPq1atjy5Yt2Lt3L/r27YuRI0fi0KFDmDBhAh4+fCjZdIKK9lhY\nWIj/PIMGDUJQUBCOHTuGPn36IC4urkwH2aysLKSnp6NRo0Zo27atOEiqQ4cOCAgIQFBQkCQH8ays\nLGRkZMDU1BSrVq3CsWPHMGbMGAwaNAgHDhzAggULUKVKFVy6dEkST6VKlTB16lQEBgZi8eLF+Oab\nb5IQM98AAA6zSURBVPDq1Sv069cPUVFR0NPTkzSvb2VlhUqVKmHo0KEAAEtLS3To0AE9evRAeHg4\niEiSPJ63tzc+/PBDAEB4eDiioqIwYMAAAMLJxb///ltmBwBMnjwZAwYMEOvt7OyM9PR06OnpQS6X\n4/Xr15J4vv76a/To0QNpaWn44osv8MUXX2DGjBmoWbMmjh49iuTkZOlm1dLXh4GBAT788ENcv34d\nU6dORe3atTFkyBAxty9FDnTq1Kno2rUrevbsiT59+qBDhw6YMGECHBwccOjQIbx+/VqyNsnlcsyY\nMQMrV67E2LFjsXXrVixduhS7d+/G1atXJXEsXrxYDOIWFhaoXLkyNmzYAADQ09OTdMxK8+bNYWBg\ngG7duqFBgwYYM2YMVq5cib59+2LPnj2IiYmRxOfq6goLCwt88cUXSE1NxR9//IG6deuiQ4cO4vG7\nrB4igoWFBUxMTDBs2DAA6jsuAED37t3Rvn17AGU4NkjTeSANmZmZSl3tKSkpNG3aNCIi2rlzJ1Wq\nVIl69epVJseBAwdoyJAh9Omnn4q5mPj4eNq+fbvSev369VPKGatK3jbFxsZS7dq1qU+fPrR27Voi\nErripkyZQhs3blTZceDAARo8eDB9+umndPz4cUpKSlJ6fdWqVTRixIgC5ap4FJ/dkSNHxPrPnDmT\nfvjhB3E9X1/fMrdH4Tl+/Dg9e/aMzp07R9988w0tWLBAXM/b21vMr5aFEydO0Jo1a+jHH38kIqLE\nxET64osvyM/PT1wnLCyMunfvTsnJyWX2rFy5koiUUxXZ2dnUrFkzGj16NP3+++80YcIESktLK5Nn\n1apVBTx37tyhPn36EBHRtm3byN/fX+Wu5aLa8/jxY3Gd69evU9++fcv0ueV1/fTTT5Sbm0u5ubl0\n4sQJmjFjBl24cIGcnZ1p6NCh1LhxY4qOji6zR7EvEBEtXbqUli9fLi5fv36devbsKem+QET05Zdf\nkrW1NV2+fFks8/X1pZs3b5bJs3r16kL3hfT0dGrTpg1t3rxZ5e3nd+X/7B4/fkyDBg0SvS9evKD+\n/ftTTExMmT0rVqwgIqJ//vmHBg4cSJ9++in169ePiIhOnjxJ/fv3L1Nq659//qH4+HhxOSkpiXx8\nfGjixIlimRTHhcJcRG/HjKhybNCawJ7/YJ6UlEQpKSk0cuRIWrhwIbm4uNDPP/9M7dq1o5kzZ6rk\nCA0NJTc3N7py5QodPnyY2rdvT7NmzRIHYinYs2cPubm50cOHDyVrk+Ik4tq1a+To6EhDhgwR15s+\nfbrSP8O7UFibvv32W6V/nLCwMOrYsWOZDniFeebOnUsvX76ks2fPUqdOnWjjxo20e/duat68OUVF\nRZXZc+jQIWrfvj3NmTOnQC5QqhxhSEgI2djY0KZNm6hdu3Y0fvx4Onv2LEVGRtLo0aOpV69elJCQ\nQNu2baMOHTqo7Mvv8fPzo7NnzxY48Jibm1OVKlXo6tWrknlCQkJEz507d2jAgAG0fv16atSoEd26\ndUsyz5kzZ8STBMWBfO/evdS1a1d69eqVSp7CXOPHj6eLFy9SSkoKDRw4kCpXrkx79+4lIirT4MD8\nni+//FIcQ5K3TXv27KFOnTpJti+MHTuWLl26RKmpqdSzZ09q1qwZ/fvvv7R161Zyd3dX+ThU0r5A\nRLR582aaPn26StsvzvXll1/S33//TUREAwcOpLFjxxKRMHi4VatWSid/qnratm1LEydOpIsXLxKR\ncKKiaNvWrVvJx8dH5TFZBw4cIEdHR/rqq6/EY2lOTg7dvHmTRo4cSb1795bkuJDfpfiuFfta3vq/\ny7FBKwJ7YUFj9uzZ9PTpU9qyZQvVqlVLHAwRHR2t8tnenj17aMSIEeLyunXryM3NjTZu3EjZ2dmU\nk5NDmzdvJhcXF7p+/bpa2vTy5Uu6dOkSWVlZkb+/Py1ZsoSaN29Ot2/flrxNef+BJ0yYQPfv31e5\nPUV5fv75Z0pOTqbDhw+Tt7c3DR06VOWgVJxnw4YN4nf0+++/U8uWLcvkUfDDDz/Q/PnziYjozZs3\nNGvWLJo8eTL9/fff4onl0KFDqXnz5hQRESGZZ/bs2TRx4kTx4EckDNZycnKiGzduqMWTk5ND0dHR\nZG1tTa1atVI5qBfnUYwez87Oph9//JGaN29O165dU9lTlGvChAkUHBxMO3bsoJCQECIi8Ze8lB4/\nPz+lEfErVqwoc5sK2+f8/PzEAaKTJ0+mWbNmUZcuXcp0HCpuX1B8TufPn6cmTZpQYmKiyp6iXH5+\nfhQaGkq3bt2ijz/+mDp27Eju7u5q+ewU31Fubi5t2LCBmjZtKg4gflcSExOpR48e9M0335C/vz9N\nnjxZKbinpqbSqFGjJDkuFOZSBPe8A6pPnz79TscGrQjsRR3Mt2zZQrdv3xZ37rKOHL98+TL5+PjQ\nsWPHiIho0aJFNGrUKPrggw/EA+w///xD//zzT5k8REW3af369UREdPfuXdq4cSMtXry4TF1tpWmT\nFBTnURxYMzIyyjxiuDTtefbsmSRd8ERCt163bt3E7/zNmzc0Y8YM+uqrr8R10tLSJOlKzu+ZOXMm\njR8/XlznyJEjZR4JXRrP4MGDVT7oldaTnp5Oc+fOLXNQL8o1Y8YM+uabb8R1cnJyynwVRmk+u/nz\n55e5TUV5xowZo7SeqqmYkjx520NEZd63i3Pl7baOioqiFy9eqMWTt02BgYF0586dMnnu379PSUlJ\ndPHiRZo5cyZNnjy5QE9Qenq6JJ9daVx//vnnO/WC6s2fP3++JBn/MpCWloYrV66gUqVKqFu3Lk6e\nPAlDQ0OcOnUK7du3h4eHhzgY7F0HSl26dAkPHz5EQkICmjdvjqioKPzxxx/YunUrHj16hN9++w1Z\nWVmIiIhAx44dYW1tDWtra7W0ycjICKdPn0bdunXRvHlzeHh4oH379rC1tVVrm0jF2cZK64mMjETH\njh2hp6en0sjad22PqakpLCws3tmjIDY2FsbGxkhPT4ezszPCw8ORkZEBBwcHWFlZ4YMPPsB3330H\nuVwuDgIyNDSU3NOuXTt899130NfXR7NmzVCvXj1UqVJFbR49PT00b94cffv2hYPD/7d3fiFNvWEc\nf36/CEVEmkZLtzGSiCjXsvJqCNofIsGbCKObWeJGKCxMFKELY+GfIdvoLggMujO6qDCvBCFKCGtQ\ndKfFKJJEnbAYKZO+XcQ5zF/9wJ2zvZsPz+fKP8OP3/d43se97znPqc6bZ/fu3XTq1Clqamoiq9Wa\ntWc7Lo/HQ7dv39bHzsjckE0mzWM003Y8w8PD+jEiIkN3AGVzjOrr63VPvsYuGAzq51FVVRWVlZXl\nLZM2dm63m/bu3WvKY7VaqaSkhOx2O5WXl9PHjx9pdnaWzp49S3Nzc1RaWkoVFRWG5oXtus6dO0dv\n3ryh8vJyqqury6ouFaywb3cyj8Vi1NzcbOjEff78Od24cUP/eHZ2loLBIF24cIHq6+spEAjQrl27\naHp6mgCYvjViO5k2Nzfp3bt3hguukUxGTlpVY6f6GE1OTtLVq1fpw4cP9OjRI/J4PFRbW0uPHz+m\njY0NKisro+rqalpaWqKqqipyu91591RWVirxWCwWOn78uKG/h2w8e/bsMezJ1qVq7Lh5LBaL7sn3\n38NOO48mJibI5XLp/xxoBXd1dZX6+/spEomQz+cz/OZiu66+vj4Kh8PU0dGRvcv0OoIBJicn4XK5\nMDAwgCtXruDmzZsAgGQyiVgspl8wMDIysuUq6GxIpVI4f/683skpHo+jsrISHR0dW1539+5dHD16\n1NRyOMArEzePxufPn1FXV4eZmRl8+/YNoVAINpsN8Xgcc3Nz6OnpQWNjIwKBAPbt22d4D1o8xvfu\nuWXi5uGY6b+esbEx7N+//4/rGwKBAJxOp6mtGFUu5YVd1WT+/ft3XLp0acuA9fb24siRI+jp6QHw\new9rcHDQ1MUPAL9M3Dwa6XQaPp9vS2vLcDgMh8Oh79m/ePEC9+/fN7XXLR7jcMvEzcMx09880WgU\nNTU1+l59IpHAsWPHEIvFDHtUupQX9nxP5pkXvg0ODsJms2FiYgJ+vx/d3d1YWFhAZ2cn1tbWAOSm\n7SmXTNw8GvPz83j9+jVWVlbQ1taG0dHRLd8fHh5Ge3s7UqmUeArgUekST/G7isUTCoXg9Xp1z48f\nP3aEC1BY2FVM5s+ePUNpaSna2tr0r0WjUdy5cwf9/f36cnhra6vh+ygz4ZSJmyfT53K50NjYiK6u\nLjx58gROpxNDQ0P6az59+gSfz2fqrgvxGIdbJm4ejpk4jl0mSgq7islcWw6/d+8evF4vLl++/NfX\nPXz4EB6PB8vLy4Y8GpwycfNovHr1CocPH8bbt28BAJ2dnbh16xa+fv0Ku92OYDCI+fl5PHjwACdP\nnjTcREU8xpvPcMvEzcMxU7YeM81nVLoyyXthVzmZLy4uIplMYnl5GRcvXvzjyThTU1NoaGgwvU/C\nMRM3DwC8fPkS4+Pj+udLS0toaWkBACwsLODatWu4fv266YYj4jEOt0zcPCpd3DyqXZkoeceucjLX\n0Fxa69b379/j6dOnWFxczMnP55iJm2dzc1PvqJVOp/Hlyxe43W59BSUejyOdTutbJeJR61HpEk/x\nu7h5VLsyUX7xnKqiobna29tx6NAhHDx4MCd7tv/n4ZiJkyedTiOZTOL06dMAfq+m+P1+0929xLPz\nXOIpfhc3j2pXQe5jVzWZA0AkEoHVas3pMsff4JiJmwcAvF4vBgYGcOLEiZz0mhfPznWJp/hd3Dyq\nXAXrFa9iMk8kEjhz5kzeD5QGp0zcPD9//sT6+joOHDgAh8ORk+cBiGdnusRT/C5uHtWughR2lQV3\nfX097w6AZyZuHgAYHx839fQ08eQfbpm4eVS6uHlUuf4BAEMNb02ysbFBJSUlhVDnDY6ZuAGDD8QR\njxqPSpd4it/FzaPKVbDCLgiCIAhC7vm30L+AIAiCIAi5Qwq7IAiCIDBCCrsgCIIgMEIKuyAIgiAw\nQgq7IAiCIDDiFw4KQKmFftreAAAAAElFTkSuQmCC\n",
"text": [
"<matplotlib.figure.Figure at 0x394d350>"
]
}
],
"prompt_number": 6
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The fatality rate has declined significantly since the early 1990's, with a sharp decrease in the second half of the 2000's."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Plot VMT travelled\n",
"figure(figsize=(12,6))\n",
"subplot(2,2,2)\n",
"# Convert to trillions\n",
"plot(fatality_trend_frame['Vehicle Miles Traveled (Billions)'] / 1000, color='black'\n",
" ,linewidth=2.5)\n",
"xticks(np.arange(len(fatality_trend_frame)), fatality_trend_frame.Year,rotation=45)\n",
"ylim([0, 4])\n",
"xlim([0, len(fatality_trend_frame)-1])\n",
"ylabel('Annual VMT (Trillions)')\n",
"title('US VMT (Trillions), 1994 - 2011', fontsize=16)\n",
"grid(b=True)\n",
"\n",
"subplot(2,2,1)\n",
"plot(fatality_trend_frame['Fatality Rate per 100 Million VMT'], color='b',linewidth=2.5)\n",
"xticks(np.arange(len(fatality_trend_frame)), fatality_trend_frame.Year,rotation=45)\n",
"ylim([0, 2])\n",
"xlim([0, len(fatality_trend_frame)-1])\n",
"ylabel('Deaths per 100M VMT')\n",
"title('Fatality Rate per VMT, 1994 - 2011', fontsize=16)\n",
"grid(b=True)\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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Ngp+fHwwNDXHr1i0sX74cHh4e+OSTT/h6FXuJxWzduhU6OjpK9bnx8fHo378/\nLCws8Omnn+K///6T2N6lSxf+/bJly/DOO+9g0qRJGD58OK5evYqlS5di+vTpEs8+PX36lO+USU1N\nRX5+Pg4cOADGGNzd3fk/IIWFhfznLp5kR1zPwcEBHTp0UNpxqhyVPlKpQrZu3coEAoHciWZiY2NZ\nt27dmL6+PrO1tWULFy5kmzdvZgKBQOLp4H///Zd16NCB6erqSowqkJKSwvr168cMDQ2ZpaUlmzp1\nKjt27BgTCAQST1D7+flJPWVduU58fDzr3r0709fXZxzHSY0KkZGRwTiOkxiovjr8/PzkjmYxYsQI\nZmBgwI+08cMPPzAHBwemp6fHOnXqxP7++28puxkTjUBhbW3NNDQ0JM5TeXk5++6775inpyfT1dVl\nxsbGzNPTk82ZM0diwH1ZiCfyWbZsGbOxsWG6urqsR48e7Nq1a1J1IyMjmb+/PzMyMmL6+vrM2dmZ\njRs3jt2+fZuvo8jECbJIS0tjGhoaTEdHR+LJ7ooool3VeV+0aBETCARyRxGxsLCQOSqGLB3xqDgC\ngYAJBAL+fcXv1dq1a5mrqyvT1dVlZmZmbMiQISwuLk5K79dff2Vt27Zl+vr6zMjIiPXp04edO3eu\nWjvqahQRe3t7/pgqL5VH9cjKymJjx45lZmZmTF9fnwUEBLDr169Lafr5+Umcs4rvKxIWFia3nqxR\nAwj1o7CwkM2fP5+5uLgwHR0dZmhoyHr06CE1oUx6ejqbO3cu69y5M7O0tGRaWlrMwsKC9e/fn0VF\nRdWozV69ejGBQMC+//57mdur++0zVvU1q7a/tVatWlU5UZq8UURkjZwl69qlyPVN1rXkzp07bODA\ngczY2Jjp6uoyHx8fdvLkSYk68s5ZWFgYc3Bw4NfnzJnDvL29mbGxMRMKhaxdu3bshx9+kNgnNzeX\nGRgYsK1bt0qUr127lnEcx+Lj42WdHgkq+qGKvqHisWVmZrKAgADWrFkzpqOjw9zd3dmaNWukjqG0\ntJS98847zMrKiuno6DAnJyf2xRdfsMLCwmrtCAsLY7a2ttXWqwnbtm2TOi55PpIxxg4ePMg8PT2Z\njo4Os7OzY0uWLJGamEk8ooys61RFPy7+bss6t7JGyGpIcIzRo5/qzk8//YRJkyYhMTFRpeNgqgLx\npAbiCXyaKgkJCWjdujUuXrzIT6pCEATxOmzcuBFLlizB3bt362xUkIbA+vXrsXLlSty5c0fiPIwY\nMQI5OTlPtKM2AAAgAElEQVQ4evRoPVpHNFbqbBSRtLQ0+Pv7w93dHR4eHvj+++9l1ps2bRqcnZ3h\n6emJq1ev1pU5DZK4uDgcOXIECxcuxKBBgxpdcE284syZM+jduzcF10S9U1ZWBm9vbwQFBcncTj67\n4fDBBx/A3NycH4mqKVJUVIRly5Zh5cqVUn8y/vnnH34SNYJQNnWWg62lpYVvv/0WXl5eyMvLQ4cO\nHdCrVy+Jh8ciIyORlJSExMREXLhwAZMnT5bIt2zqfPTRRzh37hy6du2KtWvX1rc5RB0yfvx4fpZQ\ngqhPvvvuO7i5ucmc8Y58dsNCIBDUyehWDQldXV2kpaXJ3CavnCCUQZ0F2OKRCwDRcHFt2rTBgwcP\nJALsw4cP809ci8d5zMzMrHYYpaZCdQ+7NQYqTlFOEET9kp6ejsjISMybN0/m8F/kswmCIBRDJaOI\npKSk4OrVq1JPxGZkZMDW1pZft7GxQXp6uoSzbopjJxIE0XhoSI+5zJw5E6tWreInEaoM+WyCIBo7\nyvLZdT6TY15eHoYOHYrvvvtO5viWlQ9ElnNmjL32snDhwkano062kA7p1LeGOuo0JI4ePQpLS0t4\ne3tXaXvlbeSzG66OOtlCOqSjDjrKpE4D7JKSEgwZMgQjR47EwIEDpbZbW1tL5EClp6dXOXA6QRAE\nUTecO3cOhw8fhoODA0JCQnDq1CmpGU3JZxMEQShGnQXYjDGMGzcObm5umDFjhsw6wcHB2LFjBwAg\nJiYGJiYmdZbLJ54UozHpqJMtpEM69a2hjjoNCfFU08nJyYiIiEDPnj15/yyGfHbj0lEnW0iHdNRF\nR1nUWQ72v//+i127dqFdu3bw9vYGIHLgqampAICJEyciMDAQkZGRcHJyglAoxNatW+vKHIWnvW1I\nOupkC+mQTn1rqKNOQ0ac+rFx40YA5LMbo4462UI6pKMuOspC7SeakTV9OUEQREOgKfqvpnjMBEE0\nDpTpv+r8IUeCIAiCIAiCaEo0mQA7Ojq60emoky2kQzr1raGOOkTtUbfPsjHqqJMtpEM66qKjLJpM\ngE0QBEEQBEEQqoBysAmCIOqIpui/muIxEwTROKAcbIIgCIIgCIJQU5pMgK1uOT6UP0c6pKNcDXXU\nIWqPun2WjVFHnWwhHdJRFx1l0WQCbIIgCIIgCIJQBZSDTRAEUUc0Rf/VFI+ZIIjGAeVgEwRBEARB\nEISa0mQCbHXL8aH8OdIhHeVqqKMOUXvU7bNsjDrqZAvpkI666CiLJhNgEwRBEPIpKipC586d4eXl\nBTc3N8ydO1eqTnR0NIyNjeHt7Q1vb2989dVX9WApQRCE+kM52ARBEHVEQ/NfBQUF0NfXR2lpKbp1\n64bVq1ejW7du/Pbo6GisWbMGhw8flqvR0I6ZIAhCDOVgEwRBEEpHX18fAFBcXIyysjKYmZlJ1aHg\nmSAIonqaTICtbjk+lD9HOqSjXA111GlolJeXw8vLC1ZWVvD394ebm5vEdo7jcO7cOXh6eiIwMBBx\ncXEydcLCwrBo0SIsWrQI4eHhEuczOjpaoXVxmaL15a3Xtv2mYE9lrdrqhYeHv/bxkD1kT33YEx4e\nLuGvlApTcwAwb2/22ouTUxQLDmZs7lzGdu9mLDaWsaKimtsTFRWllONSho462UI6pFPfGuqo0wBc\nrEyys7NZ586dpc5DTk4Oy8/PZ4wxFhkZyZydnaX2VdYxq9tn2Rh11MkW0iEdddBRps9uEDnYQN2Y\nqKEBODkBHh6Au/urV2dnQEurTpokCKIJ0ZDzkZcsWQI9PT18+umncus4ODjg8uXLEqkkDfmYCYJo\n2ijTf2nK2/D5559j2bJlSmnkdQkKen2NsjLg7l0gMREoL39VdueOaDlw4FVdLS3A1VU68HZ0FAXl\nBEEQjY2nT59CU1MTJiYmKCwsxJ9//omFCxdK1MnMzISlpSU4jsPFixfBGJOZp00QBNHkkde17eXl\npbRu8tehChNrhPjWQWGhKD1k1y5RukhQEGOOjowB1S+6uqJUk1GjGFuxgrGjRxlLTmasrKz29ijj\nmEiHdBq6jjrZokwdZfkvVXD9+nXm7e3NPD09Wdu2bdnXX3/NGGNsw4YNbMOGDYwxxtauXcvc3d2Z\np6cn8/HxYefPn5fSUbbPJp2601EnW0iHdNRBR5k+W24PdllZGbKysuQG5g2110JXF/D0FC0Vyc8H\nbt8Gbt4Ebt169ZqW9qpOURGQlCRaKmJgIOrhrtjb7eEBvPEGwHF1f0wEQRBisrOzcf78eaSkpIDj\nONjb28PHxwfGxsZV7te2bVtcuXJFqnzixIn8+48++ggfffSR0m0mCIJobMjNwdbW1oa1tbXsnTgO\n9+7dq1PDKrYlx0SV8OKFKNAWB93iwDszs/p9TUyk00w8PAALi7q3myCI+keV/uuff/7BqlWrkJKS\nAm9vb7Ro0QKMMTx8+BBXr16Fvb09Zs+eLTGudV1Q3z6bIAiitijTf8kNsL29vXH16lWlNPI6qKuz\nfvpUMvAWv1bR6c9jYSEKtHv2BN55R9SbTj3dBNH4UKX/+vjjjzF58mQ4OzvL3J6QkIANGzZgzZo1\ndWqHuvpsgiCI6qCJZmpBxXEPlaHTrBng6wt8+CHw44/A6dOioPvhQ+DPP4HwcGD8eMDHBzA0lNR4\n8gSIiorGF18A3t6ArS0waRJw9ChQWFh/x0Q6pFNfOupkizJ1VMmaNWvkBtcA4OLiUufBtTJRt8+y\nMeqoky2kQzrqoqMs5AbY06dPV6UdjQKOA5o3BwICgOnTgZ9+As6dE6WZpKYCkZHAqlVAaChgZ/dq\nv4wMYONG0Wgp5uai140bgfT0+jsWgiAaJuHh4Xjx4gUYYxg3bhy8vb1x8uTJ+jaLIAiiSSE3RSQo\nKEhuVznHcTh8+HCdGyduq7HebkxOBo4dE/VcR0UBxcXSdby8RGkkQUFAx46AoMnccyCIhk99+K92\n7drh+vXrOHnyJDZs2IAlS5Zg1KhRKkv5a8w+myCIxo1KcrAtLCxgY2ODkJAQdO7cGQD4RjmOg6+v\nr1IMqNbAJuKs8/KAv/4SBdtHj8p+iNLSEujfXxRw9+olnXpCEIR6UR/+q23btrhx4wamTZsGPz8/\nDB48WKXP1DQVn00QRONDJTnYDx8+xLJly3Dz5k3MmDEDf/75JywsLODn56ey4FqZqFuOT2UdAwNg\n4EBg82bgwQPg4kVgwQKgfftXdR4/BrZuBYYMEaWSdOwYjfBwUc53UpLsHvDa2FJbSId06lNDHXXq\ngw4dOqB3796IjIxEnz59kJOTA0EDvPWlbp9lY9RRJ1tIh3TURUdZyB0HW1NTE/369UO/fv3w8uVL\n7NmzB76+vli0aBGmTJmiShubHAIB8OabomXxYlGOtjiV5K+/RA9ClpQAly+LFjEcB1hbAw4OosXe\nXvLVxoZmoiSIxs7PP/+M2NhYtGrVCkKhEM+ePcPWrVvr2yyCIIgmhdwUEQAoKirCsWPHEBERgZSU\nFAQHB2Ps2LFyx8euEwPpdqMEhYWifG1xKknFiXCqQ1NTNGJJxaBb/N7eXjR8oLZ2HRlOEE2Q+vJf\n6enpSE1NRWlpKRhj4DgOPXr0UEnb5LMJgmioqCQHe9SoUbh16xYCAwMxbNgwtG3bVikN1hRy1vJh\nDLh/H7h3D0hJET00mZz86v2DBzXXNDER5XpXXCwsZK+bmVGPOEFURX34rzlz5mDv3r1wc3ODRoUf\n6JEjR1TSPvlsgiAaKkr1X/LmUOc4jgmFQmZgYCC1GBoaVjsH+5gxY5ilpSXz8PCQuT0qKooZGRkx\nLy8v5uXlxZYsWSKzXhUm1gh1muteWTrVaRQWMnbnDmMnTjC2YQNjc+Yw9t57jHXqxJiFBWOiEJ0x\nIKrCe8UXgYAxS0vG3N0Z8/dnzN8/ik2dytiXX4raO3iQsbNnGUtIYOz5c8bKy1V3bkinYemoky3K\n1FGW/6oJzs7OrKioqMb7FRYWsk6dOjFPT0/Wpk0b9tlnn8msN3XqVObk5MTatWvHrly5IrWdfHbD\n0VEnW0iHdNRBR5k+W24Odnl5+WsF7mPGjMHUqVMxevRouXV8fX1VNtxfU0RXF3BxES2yyM8X9XYf\nPizquX78WDQJzuPHr5YnT4Bnz0QhdWXKy1/Vu3VLVBYVJd8eLa2qe8bFZY8eAc+fv/7slnl5wMuX\ngI7O6+kQREOiVatWKC4uhk4Nv/i6urqIioqCvr4+SktL0a1bN5w9e1ZiavXIyEgkJSUhMTERFy5c\nwOTJkxETE6PsQyAIQkHKy8tRVFSEgoICFBYW8ktV67du3UJcXBxatmwJW1tb2NrawtTUFBxNKa1U\n5KaIBAYGYsSIERg4cCAMDAxqJZ6SkoKgoCDcuHFDalt0dDS++eabam9b0u3G+qe0VBRkywvAK64/\nfgzk5NS3xZK0aCH94Kf4va2tKDedIOqC+vBfgwcPxrVr1/D222/zQTbHcfj+++8V1igoKICvry+2\nb98ONzc3vnzSpEnw9/fHsGHDAACtW7fG6dOnYWVlxdchn00Q8ikuLkZubi5ycnLkvla1LT8/XyJo\nfvnypVLsEgqFfLBdMfCu+F5fX18pbakzyvRfckOLCRMmICIiAjNnzoS/vz9CQkLQv39/aCvpKTiO\n43Du3Dl4enrC2toaq1evlnDkFQkLC4O9vT0AwMTEBF5eXvDz8wPwalgWWq/7dSsr0Xrz5sDw4fLr\nl5QAbdr44fFj4K+/opGdDZibi9avXxetl5WJ1h8+jP7/8IKi/YHo/78qb/3BA+DBAz/8+6/0doEg\nGpaWQOvWfnBwEG1v3hwIDBSt37kTDYFAPc4/rav/enh4OGJjY3l/VR8EBwcjODiY741i/3/IURHK\ny8vRvn173L17F5MnT5byyRkZGbC1teXXbWxskJ6eLhFgA+Szab3xrEdFRaGoqAheXl7Izc1FdHQ0\nCgoK0KpVK+Tk5ODy5csoKCiApaUlcnNzkZCQgIKCAujp6SE3NxcPHz5EQUEBSktLkZOTo7SAWNnk\n5+cjPj4e8fHxcuuYm5vD1NQUFhYWaN++PWxtbfH48WPo6uqiY8eOEAqFSEhIgK6uLnx9fSEUCnH1\n6lXo6uri7bffBlA3n1d5eTm6du2K0tJSXLhwAQKBQC18dpWjiACik37kyBFERETg/PnzCAwMREhI\nCHr37l2teFU92Lm5udDQ0IC+vj6OHz+O6dOnIyEhQdpAJf2biI6O5k9oY9FRJ1tqq8OYKFWlYk/4\nP/9Eo0WL17cnKSka5uZ+Eg9+ZmTITneRh7Y2YGERDU9PP7i7Ax4egLs70KYNUNM/843h86orHXWy\nRZk69dWb+/LlS96ftm7dGlpaWjXa/8WLF+jTpw9WrFghcR6CgoLw2WefoWvXrgCAgIAAfP3112hf\nYcB+8tkNR0edbKlPHcYYHj16hPj4eNy+fZtfrl27hmfPntXLb1goFMLIyAiGhob868uXL2Fvbw89\nPT3o6+tDT0+PXyquV7VNT08PFy9ehIeHB9LS0pCWlobU1FSJ17S0NGTKmu3uNdDS0oJQKJS55Ofn\nw8zMDCUlJSgpKUFxcbHEq6yyitvKysok2tLT0+O1DQwMZL7K2zZs2LC678EWIxQKMXz4cAwfPhzX\nrl1DaGgoduzYIXVANcWwwjSE/fr1w4cffoisrCyYmZm9li7RsOA40SQ7Bgb4fw+yaIZKJfhYREdL\n67x8KRrasGLQXfF9ZZ9SXCwKyjMygMhISbsdHV8F3OJXV9e6yfkuLxflpT95Aty4ATRvDjg5UXoL\nIU10dDRCQ0NhZ2cHAEhNTcX27dtrNEGYsbEx+vfvj0uXLkkEKtbW1kirMDZoenq6SodtJYjXoays\nDMnJyXwAXTGgfvHixWvrGxgYwNDQkF/EgXFBQQGcnJwkAubKwXPFVwMDA4kRgMQo6w+Ijo4OrK2t\nYW1tjS5dusisU1RUhIyMDImgu3IgnlODfNCSkhJkZ2cjOzv7te2vDnEKzdOnT+u8raqotgf70aNH\n+PXXXxEREYGHDx9i2LBhCAkJgaenZ7XiVfVgZ2ZmwtLSEhzH4eLFi3jvvfeQkpIibSDl8xEqpKBA\nNPRh5cA7Ph64c0eUj14VGhqAs7N04O3sLBkMMwbk5laf0y5ef/IEqPyfVlsbaN1asi0PD1FuuUCg\n7DND1Ib68F/t27fHnj174OrqCgBISEjA8OHDceXKlSr3e/r0KTQ1NWFiYoLCwkL06dMHCxcu5G/t\nAqKHHNeuXYvIyEjExMRgxowZUg85ks8m6pOysjJkZ2cjPT1dojc6Pj4eCQkJCqVoCIVCtG7dGq1b\nt4aDgwMf/Fa1CIXCBjlj6usgzhcvKChAfn5+tYu8egUFBdDQ0IC2tja0tLSkXmWVyXrV0NBAYWEh\n8vLykJ+fz79WfF/5VdaAHnXeg71p0yZEREQgPj4eQ4YMwerVq+Hj46NwLl9ISAhOnz6Np0+fwtbW\nFosXL0ZJSQkAYOLEidi/fz/Wr18PTU1N6OvrIyIiQikHRBCvg76+KP2jTRvpbcXFQGIicPOmaNQU\n8WtSkqiHGRAFwfHxomX//lf7amuLere1tV8Fz6+bildcDFy/LloqH4Obm2SA7+EhmsmTHhJv/JSW\nlvLBNQC4uLigtLp/hgAePnyI0NBQlJeXo7y8HKNGjcLbb7+NjRs3AhD57cDAQERGRsLJyQlCoZBm\niCTqDMYYcnJy8OzZM2RlZUm8yioTv2ZnZyscIFlYWKBNmzZo06YNWrduzb+3sbFpcsFybRD3xDdU\nGGMoKiqSCLg9PDyUpi+3B3vMmDEYMWIEevbsKfNWhaqgfL6GYUtT1iksFAXUFYPumzdFvd+VlPDq\n4Uv5GBrKn9zH0hJIT49Gs2Z+fDs3byo2qZCRkSjYFgfcZWXRGDfOD8bG1e9bFfRdlk999OaOGTMG\nGhoaGDlyJBhj2L17N8rLy7FlyxaVtE8+u+Ho1HfOc3JyMlJSUvjXK1euID8/H1lZWcjKynrtVFRA\n9H20s7Pjg+eKwbS5uXmV+6rTZ0U6qtFRySgi1DNBEIqhpwd4e4uWiuTlAXFxrwLus2cBc/OqZ8e0\nsBDpVYWs3PLnz0XtVA7ynzx5VScnBzh/XrSImTUL6NAB8PcXLd26ifLhiYbL+vXrsW7dOn5Yvu7d\nu+PDDz+sZ6uIpgRjDM+ePeOD54qBdHJyMu7fv4+ioqLXasPIyAjm5uYwMzOTen3+/DneeusttG7d\nGq6urk1ieDlC/ag2B7u+oXw+gqg94kmAKgfe8p4z0dQEOnV6FXC/9Vb1AT8hn6bov5riMTc1CgoK\nkJGRgYyMDDx48AAZGRlIT0+XCKbz8vJqpGlhYQF7e3u0bNkSzZo1kxs8i4eKq+nIOAShCMr0XxRg\nE0QTgzHg4UMgNhY4fVo0++bly6/yyCuirQ34+IiC7Z49gc6dRWWEYqjSf7377rvYt28f2rZtK9OO\n65WT9esI8tkNl9LSUmRmZvJBc8UAuuL72oy4YWJiAgcHB9jb20u8Ojg4wM7OrtYT2hGEMlGq/5I3\nh/qzZ8+qXFRFFSbWCHWa615ZOupkC+k0bJ3nzxk7fJixmTMZ8/RkTBSGSy96eowFBDC2bBlj588z\nVlJC3+WqUJb/UoSMjAzGGGPJyckyF1VBPls9dcrLy1lmZia7ePEi27dvH1u9ejUbNGgQGzBgAOvY\nsSNr0aIFEwgEDECtFgMDA+bh4cHeeecdNnXqVLZmzRp28OBBdvXqVfb8+fM6OSbSIR1l6yjTZ8vN\nwW7WrBlsbGxkPuDIcRzu3bunnAifIIh6x8QECAoSLQDw7Jmod/vUKVEPd1ycqLywEPjrL9ECiPK1\n3dyAjz4Chg2rmzHACcVo0aIFANTrLJJE/VFaWooHDx7g/v37MpfU1FQUFhbWWFdDQwPNmzeHtbU1\nWrRowY+fXHH93r17CAwMVHiUMYJoCshNEZkxYwZOnTqFbt26Yfjw4ejevXu9/HjodiNB1D+PHoke\nroyKEi2JidJ1LCyACROASZNEQwISqvVfBgYGcn00x3E1mhTidSCfXTeUlZUhIyMD9+7dw7179/iH\nBcVLenp6jUfdEAqFsLOzg42NjUTwXPG9paVlvY4kRhCqRGU52OXl5YiOjkZERAQuXLiA3r1748MP\nP4SDeMo9FUDOmiDUj/T0V8H2sWOihynFaGgAgwYBU6cC3bs37bG3m6L/aorHrCyys7MlAmjx+3v3\n7uH+/fv8XBKKYm5uDjs7O7mLmZkZ9ToTRAVUkoNdkefPn7Mff/yRNWvWjG3cuFFp+SmKoKCJ1aJO\nOT7K0lEnW0in6er88UcU27WLsS5dpHO227VjbNMmxvLzVWOLuukoy38pAj03o/46paWlbPfu3ezk\nyZNsw4YNbPbs2Wzo0KGsffv2zNTUtMZ5zzY2Nqxr165sxIgRbO7cuWzDhg3s+PHj7NatWywvL08l\nx0Q6pNOYdJTps+XmYOfl5eH333/H3r178eTJEwwePBiXL19Gy5YtlRPZEwTRKNDSAt5/X7RcugT8\n8AMQEfFqpskJE4A5c4Bx44APPwRUeAOsSdG+ffsqeyOTk5NVaE3T5uXLl0hMTMTt27cRFxfHT9d9\n584dhabqFmNiYgJHR0c4OjrCwcGBf+/o6Ijk5GT06tWrDo+CIIjXQW6KiFAohLOzM4YNGwYXFxdR\n5f93nXMch8GDB6vGQLrdSBANjsePgZ9+AtavBzIyXpVznOhByilTgICAxp8+0hT9V1M65ry8PMTH\nx/MBtDiYvnv3rkL50FpaWrCzs5MZRDs4OMDU1FQFR0EQhBiV5GCHhYXxjclCVTM9NiVnTRCNjdJS\n4NAhUa/2mTOS21q3FgXao0eLpodvjKjSf8XHx6N169a4cuWKzO3t27evcv+0tDSMHj0ajx8/Bsdx\nmDBhAqZNmyZRJzo6GgMGDICjoyMAYMiQIZg/f75EncbmsxljePz4Md8jXTGQTk1NVUijZcuWcHNz\n46fqdnZ2hqOjI6ytrekBQoJQI1Seg12fKMtEdcrxUZaOOtlCOqRTHbGxjH3wgWgs7Yp52oaGjA0a\nFMXu3FGdLarSUaWLHT9+PGOMMV9fX+bn5ye1VMfDhw/Z1atXGWOM5ebmMhcXFxYXFydRJyoqigUF\nBVWp0xB9dnl5OXvy5Ak7d+4c2759O5s/fz4bNmwYa9++PTM0NFQoH1pDQ4O5uLiwgQMHsrlz57Id\nO3awS5cusdzc3Ho7LlVokA7pNCYdZfpsuTnYAHD79m38/vvvyPj/PV4bGxsEBwejTZs2yonuCYJo\nMnh6Aps2AStWAFu2AOvWASkpQG4u8NtvoiUoSJSv3bVrfVvb8Pjpp59QXl6OpUuXomstTmDz5s3R\nvHlzAKIh/9q0aYMHDx5I+XvWgHuns7KykJiYiMTERCQlJfHvExMTkZ2drZCGjo4OXF1dJXqk3dzc\n4OTkBB0aCJ4giP8jN0Vk5cqV2LNnD4YPHw6b/w9qm5aWhr1792LYsGGYO3euagxsZLcbCYIQUVYm\nGuJv7Vrgzz8lt3XrBnz2GRAY2LDztOvDf3l5eSE2Nva1NFJSUuDr64tbt25JTGF9+vRpDB48GDY2\nNrC2tsbq1avh5uYmsS/HcQgNDeUnvDExMYGXlxf8/PwAiNJMANTJellZGfbv34+HDx/C2NgYycnJ\niImJQXp6OjIzM5GVlaXwObC3t4ezszP09fVhY2ODfv36wdXVFampqRAIBCo5HlqndVqv2/Xw8HDE\nxsby/mrx4sV1n4Pt7OyMuLg4aGlpSZQXFxfDzc0NSUlJSjGgWgMpwCaIRs/t20B4OLBtm2j0ETFt\n2wKzZ4tmiazkihoE9eG/Pv30U3Tp0gVDhgyp1RjHeXl58PPzw/z58zFw4ECJbbm5udDQ0IC+vj6O\nHz+O6dOnIyEhQaJOXR4zYwxPnz5FcnIyP060+H1ycjJSU1NrNFa0ra0tnJ2dpRZHR0fqjSaIJohK\ncrBdXV1ZcnKyVHlycjJzcXFRWo5KdVRhYo1QpxwfZemoky2kQzrK0HjwgLHZs0V52RXztO3sGPvh\nh4Y3nray/JcizJ07lzHGmFAoZBzHMU1NTWZgYMAMDAyYoaGhQhrFxcWsd+/e7Ntvv1Wovr29vdQY\n2697zIWFhezWrVts6dKlLDw8nE2fPp0FBQUxDw8PJhQKazRONMdxzMLCgvn6+rLx48ezlStXsoMH\nD7IbN26wgoKCGtmlbt8tuoaQDukoX0eZPltuDnZ4eDgCAgLg5OQEW1tbAKIUkcTERKxdu1Y50T1B\nEEQF3ngDWLkSmDsX2LBB1KudmQncvy+aGXLxYmDaNOCjjwAzs/q2Vr04fvw4li1bhry8vFrtzxjD\nuHHj4ObmhhkzZsisk5mZCUtLS3Ach4sXL4IxBrNafBAvXrzA3bt3kZSUhLt370q8z8jIqFEPkpmZ\nGT+snXgRr7ds2RLnz5/nbwcTBEGoiiqnSi8rK8PFixfx4MEDAIC1tTU6duwITc0qn41UroGUIkIQ\nTZaiImD7duDrr4F7916VC4XAxInAzJnA/x8RUUtU6b/atWvH5xfKorpA+OzZs+jRowfatWvHp5Ys\nW7aMH4pu4sSJWLduHdavXw9NTU3o6+tjzZo16NKli4QOx3EoLy/H48ePZQbQSUlJePbsmcLHpaen\nJzN4Fi9GRkYKaxEEQVSFSsbBFvPo0SOJUUSsrKyU0rCiUIBNEERpKXDggKh3++rVV+VaWsDIkcCs\nWYA6Dm6kSv+lra0Na2trudtVNZMjx3EQCoXIz89XeJ9mzZrByckJrVq14hcnJyc4OjrCysqqVrnk\nBEEQNUWZPlsgb8PVq1fRpUsX+Pn5Yc6cOZgzZw58fX3RpUsXuRMZqDNV9ew0VB11soV0SKcuNTQ1\nRQ86Xr4MnDwJ+PuLyktKgK1bATc3YNAgYP3617dFEXvUEXd3d4kH/iovqqRycM1xHGxtbeHn54fx\n4x6k6W8AACAASURBVMdj+fLl+PXXX3HlyhW8ePECT548wfnz57Fr1y4sXrwYo0ePRnFxMZo3b/7a\nwbU6fc/VTUedbCEd0lEXHWUhN9cjLCwMmzZtQufOnSXKY2JiMGbMGFy7dq3OjSMIgqgIxwG9e4uW\nixdFPdq//SZ6FPLQIdGyZw/Qsyfg7g54eABOTg1zBJKGzJQpUyR6pB0cHKCrq1vfZhEEQaiMKofp\nS0xMlLmTk5MTDdNHEIRacOcOsGoVsGOHqEe7MlpaomnZxQG3h4fovYMDUNezVKvSf23btg1hYWEq\naasqyGcTBNFQUUkO9rRp05CUlITQ0FDY2tqCMYa0tDTs2LEDjo6OKhtJhJw1QRCKkJEBfPstcPAg\noEhGhJ6eKG9bHHCLX1u2VN7kNqr0X2PHjsXkyZPx5ptvytx+4cIFbNiwAVu3bq1TO8hnEwTRUFFJ\nDvb333+PKVOmICoqCsuXL8eKFSsQHR2NKVOmNMhh+tQtx4fy50iHdJSrYW0NvPNONO7dE02/fvGi\naEr2Tz4B+vSRHm2ksBC4ckXU8z1nDtC/P2BvDxgbA25u0Rg9GpgyRbTtyy+B1auB9etF9Q8cAE6c\nAP75R6QRHw+kpQFZWcDLl6KUFVUzc+ZM/PDDD3BxcUFQUBAmTJiADz74AEFBQXBxccH69evxySef\nqN6wWqJO38/GqqNOtpAO6aiLjrKocry9wMBABAYGqsoWgiAIpWBgALz5pmipSHY2EBcH3LwJ3Lr1\n6jUz81Wd3FzRzJK3b9e+fQ0N0VCCqqRt27bYsWMHXr58iatXr+L+/fvgOA52dnbw9PSkHGiCIAgV\nUu0wfbKYMGECNm3aVBf2SEG3GwmCqGuePpUMuG/eBFJSgPx80fLyZW2Vm57/Ip9NEERDRSU52FlZ\nWTJ3YIyhXbt2/NjYdQ05a4Ig6puyMlGgXVDwKuhWZPn++6bnv8hnEwTRUFFJDnazZs3QoUMHqaVj\nx4548uSJUhpXJeqW40P5c6RDOsrVqEsdDQ3AyAho3hxo1Qpo1w7w8QECAoABA4ARI4APPgBmzADm\nzQOWLQO++04ppjRZ1P070Rh01MkW0iEdddFRFnJzsB0dHfH333/Dzs5OaputrW2dGkUQBEHUjM8/\n/xzLli2rbzMIgiAIVJEisnbtWnTr1g1eXl5S277//ntMmzatSuGxY8fi2LFjsLS0xI0bN2TWmTZt\nGo4fPw59fX1s27YN3t7e0gbS7UaCIBooqvRf3t7euFpxHvkakpaWhtGjR+Px48fgOA4TJkyQ6eer\n89vkswmCaKioJAf7dfnnn39gYGCA0aNHywywIyMjsXbtWkRGRuLChQuYPn06YmJipA0kZ00QRANF\nlf6rXbt2Vd4iNTMzq3L/R48e4dGjR/Dy8kJeXh46dOiAQ4cOoU2bNnwdRfw2+WyCIBoqKsnBfl26\nd+8OU1NTudsPHz6M0NBQAEDnzp2RnZ2NzIpjZSkZdcvxofw50iEd5Wqoo44qiY+Pl/ncjPjZmepo\n3rw5f8fSwMAAbdq0wYMHDyTqqNJvq9tn2Rh11MkW0iEdddFRFlWOg12XZGRkSORy29jYID09HVZW\nVlJ1w8LCYG9vDwAwMTGBl5cX/Pz8ALw6odWti1G0vrz12NjY19pf2fYoYz02NrZe2yd7yB4xDf33\nGR4ejtjYWN5fqRJ3d/fXShGpSEpKCq5evYrOnTtLlCvqt8lnNxx71MUHkD1kT320X5c+u8oUEcYY\n0tPTa/1QY0pKCoKCgmSmiAQFBeGzzz5D165dAQABAQH4+uuv0b59e0kD6XYjQRANlIaUgy0mLy8P\nfn5+mD9/PgYOHCixTRG/TT6bIIiGikpTRPr166eUhipjbW2NtLQ0fj09PR3W1tZ10hZBEERjZ/r0\n6a+tUVJSgiFDhmDkyJFSwTVAfpsgCEJRqgywOY5Dhw4dcPHiRaU3HBwcjB07dgAAYmJiYGJiIjM9\nRFlUvq3WGHTUyRbSIZ361lBHHVVy4MABBAcHIygoSGoJDg6udn/GGMaNGwc3NzfMmDFDZh1V+m11\n+ywbo4462UI6pKMuOsqi2hzsmJgY7Nq1C3Z2dhAKhQBEgff169er3C8kJASnT5/G06dPYWtri8WL\nF6OkpAQAMHHiRAQGBiIyMhJOTk4QCoXYunWrEg6HIAiiaRITEwMbGxuEhITwudPiW50cx1W7/7//\n/otdu3ahXbt2/NB7y5YtQ2pqKgDy2wRBEDWh2mH6UlJSZJar6iEeyucjCKKhokr/VVpaij///BN7\n9uzBjRs30L9/f4SEhMDd3V0l7Yshn00QRENFpTnY9vb2SEtLQ1RUFOzt7SEUCsl5EgRBqBmampro\n168fduzYgZiYGDg5OcHX1xdr166tb9MIgiCaHNUG2IsWLcLXX3+N5cuXAwCKi4sxcuTIOjdM2ahb\njg/lz5EO6ShXQx11VE1RUREOHDiAkSNHYt26dZg+fToGDRpU32bVCnX7LBujjjrZQjqkoy46yqLa\nHOzffvsNV69eRYcOHQCIniLPzc2tc8MIgiAIxRk1ahRu3bqFwMBALFiwAG3btq1vkwiCIJos1eZg\nd+rUCRcvXuTHWM3Pz4ePj0+1DzkqzUDK5yMIooGiSv8lEAigr68v84FGjuOQk5OjEjvIZxME0VBR\npv+qtgf73XffxcSJE5GdnY1NmzZhy5YtGD9+vFIaJwiCIJRDeXl5fZtAEARB/J9qc7BnzZqFIUOG\nYMiQIUhISMCSJUswbdo0VdimVNQtx4fy50iHdJSroY46qiQwMBC7du1CXl5efZuiFNTts2yMOupk\nC+mQjrroKItqA2wAaNu2Lbp3744ePXpQXh9BEIQaMmHCBBw9ehQODg5477338Ntvv6G4uLi+zSII\ngmiSVJuDvXnzZnz55Zfw9/cHIPqHsGDBAowbN041BlI+H0EQDZT68F/5+fk4cuQIIiIicP78eQQG\nBiIkJAS9e/dWSfvkswmCaKgo039VG2C7uLjg/PnzMDc3BwA8e/YMPj4+SEhIUIoB1RpIzpogiAZK\nffuva9euITQ0FDdu3EBZWZlK2qzvYyYIgqgtKp1oplmzZjAwMODXDQwM0KxZM6U0rkrULceH8udI\nh3SUq6GOOvXBo0eP8P333+Ott97CwIED0bdvX1y5cqW+zaox6vZZNkYddbKFdEhHXXSURbWjiLRq\n1QpdunTBgAEDAAC///472rVrh2+++QYcx+Hjjz+ucyMJgiCIqtm0aRMiIiIQHx+PIUOGYPXq1fDx\n8ZE5bJ88xo4di2PHjsHS0hI3btyQ2h4dHY0BAwbA0dERAPC/9s48LKqyf+M3gfuK+LqEuC+gIEvu\nZolLigWZu2i44ZZImq8ptkhlJqVCpSlq8qopUviGaIiYigsKqIAbiqAgmAoooICiLN/fH/44LyjD\nzMCBeWb4fq5rroszc+bmPs95zj3PnPOd54wdOxaff/65bNvAMAyjKygtEXF3d3+x4v+HNBGVCuyV\nK1dWnTvw5UaGYbSX6syvGTNmwNHREUOGDIG+vn6FNE6dOoWGDRvCyclJ4QB7/fr1CAwMVKjBmc0w\njLZSrfNgFw+wGYZhGHHx8fGptMagQYOQlJRU7jo8eGYYhlGOStP06QKi1fhw/RzrsI68GiLq6Bp6\neno4c+YMLC0tMWrUKMTGxpa53vTp0+Hu7g53d3d4eXmVas/Q0FCVloufU3V9RcsV/f81wc/LWhXV\n8/LyqvT2sB/2owk/Xl5epfJKVkhw5LJ4/PhxndMRyQvrsI6mNUTU0YKIfYXExEQyNzcv87XHjx9T\nbm4uEREFBQVRly5dXlmHM1t7dETywjqsI4KOnJmttAZb03A9H8Mw2kp15ldGRka5rzdr1kwlnaSk\nJNjb25dZg/0yHTp0wIULF0ppc2YzDKOtVGsN9tKlS/HFF1+gXr16GDlyJC5evAhPT098+OGHshhg\nGIZhKo+NjU25M4YkJiZW+n+kpqaiRYsW0NPTQ2RkJIhI5YE7wzBMTUJpDXZISAgaN26MgwcPon37\n9rh58yZ++OGH6vAmKyVrbnRFRyQvrMM6mtYQUac6SUpKQmJiosKHKkyePBkDBgxAXFwcTExMsH37\ndnh7e8Pb2xsA4O/vDwsLC1hZWWHRokXYu3dvlW2PaPtSF3VE8sI6rCOKjlwoPYNdUFAAADh48CDG\njRuHJk2aqDWvKsMwDFO9ZGZmIj4+Hnl5edJzb731ltL3+fr6lvv6ggULsGDBgkr7YxiG0XWU1mAv\nX74cAQEBqFu3LiIjI5GVlQV7e3tERERUj0Gu52MYRkvRRH5t3boVP/30E1JSUmBtbY3w8HD0798f\nx44dq5b/z5nNMIy2Imd+qfQjx4cPH6Jp06bQ19dHbm4usrOz0apVK1kMKIPDmmEYbUUT+WVubo5z\n586hf//+iImJwfXr1+Hm5oY///yzWv4/ZzbDMNqKnPml0jzY169fh5+fH3bs2AF/f3+EhITI8s+r\nE9FqfLh+jnVYR14NEXU0Qd26dVGvXj0AQF5eHkxNTREXF6dhV+oj2r7URR2RvLAO64iiIxdKa7Cn\nTp2KW7duwcrKqtTtd52cnKrUGMMwDKM+JiYmyMzMxOjRozF8+HAYGhqiffv2mrbFMAxTo1BaImJm\nZobY2FiN/bCRLzcyDKOtaDq/QkND8fjxY4wcORK1a9eulv+p6W1mGIapKNU6D7a5uTnu3buH119/\nXZZ/yDAMw1QdycnJ0t8dO3YEANy/fx9t27bVlCWGYZgah8IabHt7e9jb2+PBgwfo3r073nnnHek5\nBweH6vQoC6LV+HD9HOuwjrwaIupoglGjRuHdd9/Fu+++i6FDh6Jjx46ws7PTtC21EW1f6qKOSF5Y\nh3VE0ZELhWewlyxZAqDs0+U8DzbDMIyYXLlypdRyVFQUNm7cqCE3DMMwNROlNdiffvopvv/++1LP\nLVu2DB4eHlVqrBiu52MYRlsRJb/Mzc1fGXhXFaJsM8MwjLpU6zzY1tbWiI6OLvWchYUFLl++LIsB\nZXBYMwyjrWgiv9atWyf9XVRUhKioKGRkZODw4cPV8v85sxmG0VaqZR7sTZs2wcLCAnFxcbCwsJAe\n7du3R8+ePVUSDw4OhqmpKbp06VLmGe/Q0FA0adIE1tbWsLa2xqpVqyq+JUoQrcaH6+dYh3Xk1RBR\nRxNkZ2cjJycHOTk5eP78Od577z3s379f6ftmzpyJli1bwsLCQuE6rq6u6NKlCywtLV858SI3ou1L\nXdQRyQvrsI4oOnKhsAbb0dERdnZ2WL58OTw8PKQRfaNGjWBkZKRUuLCwEC4uLvj7779hbGyM3r17\nw8HBAWZmZqXWe/vttxEYGFjJzWAYhmEAwN3dvULvmzFjBhYuXKjwHgdBQUFISEhAfHw8IiIiMH/+\nfISHh1fCKcMwjO6i0q3SASAtLQ15eXnSsrIpn86ePYuvvvoKwcHBAIA1a9YAAJYvXy6tExoainXr\n1uHAgQOKDfLlRoZhtBRN5FdcXBzWrl2LpKQkFBQUSD6OHTum9L1JSUmwt7cvswRw3rx5sLW1xcSJ\nEwEApqamOHHiBFq2bFlqPc5shmG0lWqdBzswMBBLlizB3bt30aJFC9y+fRtmZma4evVque/7559/\nYGJiIi23adMGERERpdbR09PDmTNnYGlpCWNjY6xduxbdu3d/RWv69OnSnciaNm0KKysrDB48GMD/\nLgnwMi/zMi9retnLywsxMTEavXPi+PHjMX/+fDg7O0t335Vj5qeyMv3OnTuvDLABzmxe5mVe1o7l\nKs1sUoKFhQWlp6eTlZUVEREdO3aMZsyYoext5O/vT87OztLyrl27yMXFpdQ6jx8/ptzcXCIiCgoK\noi5duryio4JFlTh+/LjO6YjkhXVYR9MaIurIlV/qYGNjU+H3JiYmkrm5eZmvvffee3T69GlpeejQ\noXThwoVX1uPM1h4dkbywDuuIoCNnZr+mbABeq1YtNG/eHEVFRSgsLIStrS3Onz+vdOBubGyMlJQU\naTklJQVt2rQptU6jRo1Qv359AICdnR3y8/ORkZGhzvcDhmEYpgT29vbYuHEj7t27h4yMDOlRWV7O\n9Dt37sDY2LjSugzDMLqI0hrsYcOG4c8//4SbmxsePHiAFi1a4Pz58zhz5ky5wgUFBejWrRuOHj2K\n119/HX369IGvr2+pHzmmpqaiRYsW0NPTQ2RkJCZMmICkpKTSBrmej2EYLUUT+dW+ffsyS0ISExOV\nvre8GuygoCBs2LABQUFBCA8Px6JFi8r8kSNnNsMw2kq11mAHBASgXr168PLywm+//YbHjx9j5cqV\nyoUNDLBhwwaMGDEChYWFmDVrFszMzODt7Q0AmDt3Lvz9/bFp0yYYGBigfv362Lt3b+W3iGEYpgbz\n8kkKVZk8eTJOnDiBBw8ewMTEBF999RXy8/MBvMjrUaNGISgoCJ07d0aDBg3g4+Mjo2uGYRgdQ5U6\nksTERDpy5AgREeXm5tLjx49lq1FRhooWlSJSjY9cOiJ5YR3W0bSGiDpy5Ze6hIWF0e7du2nHjh3S\no7rgzNYeHZG8sA7riKAjZ2YrPYO9ZcsWbN26FRkZGbh58ybu3LmD+fPn4+jRo1U99mcYhmHUZOrU\nqbh16xasrKykWUQAKJzfmmEYhpEfpTXYlpaWiIyMRL9+/aQ7d/Gt0hmGYZSjifwyMzNDbGysLFPz\nVQTObIZhtJVquVV6MXXq1EGdOnWk5YKCAo0FN8MwDFM+5ubmuHfvnqZtMAzD1GiUDrDffvttfPvt\nt3jy5AmOHDmC8ePHw97evjq8yUrx5OK6pCOSF9ZhHU1riKijCdLT09G9e3e88847sLe3h729PRwc\nHDRtS21E25e6qCOSF9ZhHVF05EJpDfaaNWvw66+/wsLCAt7e3hg1ahScnZ2rwxvDMAyjJu7u7q88\nx1cdGYZhqhelNdgAkJaWBgBo0aJFlRt6Ga7nYxhGWxEhv06dOgVfX1/88ssv1fL/RNhmhmGYilAt\nNdhEBHd3dzRv3hzdunVDt27d0Lx5c3z11VccngzDMAITFRWFpUuXol27dvjiiy9K3eCLYRiGqXoU\nDrA9PT0RFhaGc+fOITMzE5mZmYiMjERYWBg8PT2r06MsiFbjw/VzrMM68mqIqFOdxMXFwd3dHWZm\nZli0aBHatm0LIkJoaCgWLlyoaXtqI9q+1EUdkbywDuuIoiMXCgfYO3fuxJ49e9ChQwfpuY4dO2L3\n7t3YuXNntZhjGIZhVMPMzAxRUVE4fPgwTp48iYULF5aaB5thGIapPhTWYJubm+PKlStlvqm81+SG\n6/kYhtFWqjO/AgIC4Ovri4iICIwcORLjx4/HrFmzKnzr9IrCmc0wjLZSLTXYtWrVUvim8l5jGIZh\nqp/Ro0fDz88PV65cwaBBg+Dp6Yn09HTMnz8fISEhKmkEBwfD1NQUXbp0gYeHxyuvh4aGokmTJrC2\ntoa1tTVWrVol92YwDMPoBAoH2JcuXUKjRo3KfFTXXRzlRLQaH66fYx3WkVdDRB1N0LBhQ0yZMgUH\nDx5ESkoKrK2tsWbNGqXvKywshIuLC4KDgxEbGwtfX19cu3btlfXefvttREdHIzo6Gp9//nlVbAIA\n8falLuqI5IV1WEcUHblQOA92YWFhdfpgGIZhZKZZs2aYM2cO5syZo3TdyMhIdO7cGe3btwcATJo0\nCfv3739lBhIu/2AYhlGOSvNgaxKu52MYRlvRpvzy9/fH4cOHsXXrVgDAb7/9hoiICPz888/SOidO\nnMCYMWPQpk0bGBsbY+3atejevXspHT09PUybNk0aqDdt2hRWVlYYPHgwgP+dZeJlXuZlXtb0speX\nF2JiYqS8knMqah5gMwzDVBHalF/79u1DcHBwuQPs7Oxs6Ovro379+jh06BA+/vhj3Lhxo5SONm0z\nwzBMSarlR466RvG3Fl3SEckL67COpjVE1NEmjI2NkZKSIi2npKSgTZs2pdZp1KgR6tevDwCws7ND\nfn4+MjIyqsSPaPtSF3VE8sI6rCOKjlzUmAE2wzAMo5hevXohPj4eSUlJeP78Ofz8/ODg4FBqndTU\nVOnsTmRkJIgIzZo104RdhmEYoeESEYZhmCpC2/Lr0KFDWLRoEQoLCzFr1iy4ubnB29sbADB37lxs\n3LgRmzZtgoGBAerXr4/169ejX79+pTS0bZsZhmGKkTO/eIDNMAxTRdTE/KqJ28wwjG7ANdgVQLQa\nH66fYx3WkVdDRB2m4oi2L3VRRyQvrMM6oujIRY0ZYDMMwzAMwzBMdcAlIgzDMFVETcyvmrjNDMPo\nBlwiwjAMwzAMwzCCUmMG2KLV+HD9HOuwjrwaIuowFUe0famLOiJ5YR3WEUVHLmrMAJthGIZhGIZh\nqgOuwWYYhqkiamJ+1cRtZhhGN+AabIZhGIZhGIYRlBozwBatxofr51iHdeTVEFGHqTii7Utd1BHJ\nC+uwjig6clFjBtgxMTE6pyOSF9ZhHU1riKjDVBzR9qUu6ojkhXVYRxQduajSAXZwcDBMTU3RpUsX\neHh4lLmOq6srunTpAktLS0RHR1eZl6ysLJ3TEckL67COpjVE1NE2OLNrlo5IXliHdUTRkYsqG2AX\nFhbCxcUFwcHBiI2Nha+vL65du1ZqnaCgICQkJCA+Ph5btmzB/Pnzq8oOwzAMUw6c2QzDMPJRZQPs\nyMhIdO7cGe3bt0etWrUwadIk7N+/v9Q6gYGBmDZtGgCgb9++yMrKQmpqapX4SUpK0jkdkbywDuto\nWkNEHW2CM7vm6YjkhXVYRxQd2aAq4o8//iBnZ2dpedeuXeTi4lJqnffee4/CwsKk5aFDh9L58+dL\nrQOAH/zgBz+09qEtcGbzgx/84Id8mW2AKkJPT0+l9eil+QZfft/LrzMMwzDyw5nNMAwjH1VWImJs\nbIyUlBRpOSUlBW3atCl3nTt37sDY2LiqLDEMwzAK4MxmGIaRjyobYPfq1Qvx8fFISkrC8+fP4efn\nBwcHh1LrODg4YOfOnQCA8PBwNG3aFC1btqwqSwzDMIwCOLMZhmHko8pKRAwMDLBhwwaMGDEChYWF\nmDVrFszMzODt7Q0AmDt3LkaNGoWgoCB07twZDRo0gI+PT1XZ0RqISOVLtUzF4DauWjIzM2FoaKhp\nG4yacGZXDM6TqofbuOrh3JYfPdLSgrnCwkLo6+tX+P1FRUV47bXKn8BPT09H06ZNUatWrUrp3Lhx\nA61atULjxo0r7QkQK5DkauuCggIYGFT8O+Hdu3fRoEED1KtXD7Vr166wTkJCAho2bAgDAwM0b968\nwjrFVLYvHz9+HEZGRujZs2elfDx79gx16tSplMbRo0exbds2rF27VqjSAbn6oCh9WRvhzFaOKLkt\nSj/nzFaOrua2LmS2Vt3J8dixY/jmm28AAPr6+igsLKyQTmBgIL788stK/xgnICAAH3/8MZKTkyul\ndfjwYbz//vs4deoUAFRou0JDQ7F27Vr4+fkhKyurwiEdExODQ4cO4c6dO8jNzQVQ8R8tJScnIzMz\ns8L7CQD279+PRYsWAXhxhq2goKBCOgcOHICjoyPGjBkDT09PJCYmVkjnr7/+wqRJkzB//nxs2rQJ\n2dnZFW6fc+fO4e7du5Xqy4cPH4azszNycnKk5yriJyQkBNu3b8ejR48q5KPYy8yZMxEZGYnk5OQK\newGAixcvIjY2Fjdu3KiwH+BFHfGjR49QVFRUKR2R+rI2wZldPqLltkj9nDNbObqY2zqV2bLNR1KF\nFBUV0dOnT2nUqFFUv359+uyzz6TXnj9/rpZWcHAwWVlZ0ZEjRyrl6ezZs9S1a1c6fvz4K68VFhaq\nrHP48GGysrKiwYMH07Rp06Tni4qKVNbYv38/9ezZk/7973+To6MjhYSEVEgnICCAzM3NadasWfTJ\nJ5/QokWLKC0tTW0dIqL//ve/1LdvXxo+fDh9+eWXdODAAbXeT0QUHh5Obdq0oSZNmtDkyZOl5/Pz\n89XS+fvvv8nU1JSio6PpxIkTNHPmzAr5CQ4OJktLS4qMjKSYmBgaPXo0paenU0FBgdpat27dolat\nWlGfPn0oOTmZiEhtnePHj1O3bt3o6NGjRESUk5NDz58/p2fPnqmlExISQq1bty51TKi7vwMCAsja\n2pquXbtGO3bsIEtLS3r48KFaGsUcOHCALCwsyMnJiebMmUMpKSlqHVMlPQ0ePJgmT55M3333HQUF\nBVXIj0h9WVvgzFaOaLktUj/nzFaOLua2rmW2Vgywi9m7dy/99NNP9P7779PChQvVfn90dDS1bduW\n/vvf/xIR0cOHDykqKooSExMpJydHLa1du3bRkiVLiIgoOTmZ9uzZQ/v27aN//vmHiFQL7KNHj1K7\ndu0oJiaGiIh69epFO3fuVMtHdnY2vf/++xQZGUlERCtWrCBPT0+6du2adKCoctA9efKEJkyYIM1p\ne/z4cerduzc5OTnR/fv31fKUlpZGPXr0oLNnz9KlS5fIx8eH7O3taffu3WrpBAUF0b59+4iIyMrK\niiZOnCi9pk4nX79+Pf3888/S8qZNm2jKlClUUFCgVgB4eXnRX3/9RUREqamp1KlTJxo7diwtXbq0\n1IejKhQVFdH8+fNp2rRp1KtXL0pISFDr/URE33//PfXr14+ePHlCt27dokmTJtHYsWNp2bJlKg1G\nioqK6Pnz5zRz5kzasWMHEb04Ju7cuUPx8fFqeXFzc5PaIDMzk5ydnaVldT6Ebt68ST169KCoqCi6\nf/8+OTk5UUpKitrH5+3bt8nCwoIuX75M165do/Xr19Nbb71Ff/75p1o6cvXlQ4cOydKXtQ3O7LIR\nLbc5s5UjQmYX+9DF3NbFzNaKIkD6/7q0/Px8XL16FV5eXpg/fz7Gjx8PfX197NmzBwUFBUprtP71\nr3+hY8eOePDgAaKjo+Hi4gIjIyPUrl0bXbt2xfLly5XW0xV7adKkiVSDNWnSJPTo0QMAsGbNGZtE\nRgAAEhtJREFUGuzbtw8mJiZKt6tVq1bw9fWFpaUliAhTpkxBQkICANXrhvT09JCWloaTJ0+idevW\n8PPzg7m5OaKjo/H06VNs2LABLVq0UKoDAPfv38fly5fxxhtvYPDgwbCysoKBgQE2b96Mzz//HK+9\n9ppKlzANDAxgamoKKysr1K1bFyYmJjA0NISPjw8MDQ1hZ2enkh87OzukpaUBAKKiovDGG29gwoQJ\n+P3332FgYIDU1FSVZjBYvHgx0tLSQC++UKJTp074+++/pf33+PFjleooP/74YwDAkydPMHv2bMye\nPRtDhw5FeHg4goKC0K9fPzRs2FBpGxUUFICIoK+vD2dnZ5w9exbTp0/HokWLUKtWrVdmblDE0qVL\nkZ2dDXt7e6Snp2PevHno3r07YmJiEBgYiD59+qBRo0YK/ejp6aFWrVro0KEDOnbsiJycHNjZ2aFr\n165ISUnBmDFj4OrqqpKX1atXA3hxqbxJkyZo3LgxvL29MXz4cOjr66tcW5qVlQVDQ0NYW1sjMzMT\nYWFhcHV1RYMGDWBnZwdHR0eV/GRnZ6N58+YwNzcH8OIHPKGhodixYwcMDQ3x9ttvq6RTu3ZtWfry\nyJEjkZ6eDqByfVlb4MwuH9FymzNbOzIb0N3c1snMVmtIX808f/681OXEnJwc+vTTT4mIyNfXl+rV\nq0cODg4q6Tx58oSIXlzmGTFiBLVr1468vb2JiCg0NJQcHR3p4sWLKvtJTk6mDh060OjRo2njxo1E\n9OKb5SeffEJbtmxRqvP06VNpufhMxYULF6ht27Z07NgxlbYpLy+PiIgiIyNp2LBhZGdnJ12KTUxM\npLlz51JgYKDKOgcOHKDBgwfTt99+S5988gmNHTuWjhw5Qo6Ojkr9vMzUqVNpzJgx0nJGRgZ5e3vT\nqlWrqKioSOFZiJCQENqwYQN5eXkRUemzOAUFBWRtbU3Ozs70xx9/0MKFC6X9qkjnxx9/fEXn+vXr\nNHr0aCJ6cVbLw8ND4SU6RX6Kz3oREV2+fJk++OADys7OLr9RXmLv3r30yy+/EBHRhx9+SLVr16Zf\nf/1V2tby/Kxfv1567vvvv6e1a9eW8mNvb6+yn2+//ZYGDhxI33zzDf3666+Un59PERERNGDAAOlM\nnSIvP//8c5ltnJeXR/369aNt27ap5KEktra29M4771CLFi3Iw8ODbt++Tfv27aMPPviAEhMTVb4M\nOnr0aHJ2dqacnBxasWIFffLJJ7R+/Xr6z3/+84rfsih+/cMPP6SxY8dKz6val+Pi4ujevXulnive\nr+r0ZW2CM1v5doma25zZyhEls4l0M7d1LbOFHWAHBASQo6MjjR07lg4fPkyPHj2inJwcmjZtGn39\n9dfUtWtX2rx5Mw0YMIDc3NxU0imu57l37x799ttvpdYbM2ZMuZeMytK5dOkSmZiYlAqyZcuWlTqQ\nytKZPHlyqe0qyY8//khOTk6vPK/IS/Hlr6KiInJzc6N169ZJ682cObPcD46X2zgtLY3CwsJoyZIl\n9NVXX0nr2dnZSTVning5RLKysmj27NmlbrV84cIFGjlypMIQOXXqFDVv3py2bt1KAwYMIBcXFzp5\n8uQrl2MaNWpEzZo1U/jhWpbOqVOnJJ3r16/ThAkTaNOmTdS9e3eKjY1VWefEiRNSsBcfzPv27aPh\nw4dTRkaG0vb56aefqKioiIqKiigkJISWL19OZ8+epU6dOtGUKVPI3NycEhMTVfIzb9486RJzST/+\n/v40ZMgQhbV0L38AERHNmzePjIyM6Ny5c9JzM2fOpKtXr6rcNiXbmIho27ZttGzZMoVt8rKfksfN\nP//8Q5MmTZK26cGDBzRu3DhKSkpSquPp6UlEL8Jy4sSJNHbsWGngcOTIERo3bly5l/heDtlHjx7R\n9OnTydXVVXpOWV8OCAggExMT+uijj+j27dtE9L/9U3IAqqwvaxOc2Yoz+2U/IuQ2Z7b2ZHZJP7qU\n27qe2UIOsCMjI8nS0pLOnz9PBw4coEGDBtFnn31G9+/fp+3bt1O7du2kupzExESFO68snRUrVkg/\nACnG39+fLC0tpUZV1c/Dhw8pIiKCDA0NycPDg7777juysbGha9euqazz5ZdflvJ/4cIFsrW1VXjA\nlqXxxRdf0MOHD+nkyZM0ZMgQ2rJlC/n5+ZGNjQ3duHFDqU5gYCANGjSIPv/881cOcFV++PDyQbtg\nwQI6efIkxcTEkLOzMzk4OFBmZibt2rWL3nrrLYVa69atI3d3dyIievr0KX322Wfk6upKp0+fltY5\nfvw4tW/fnq5cuaLQT3k6hYWFlJiYSEZGRtSnTx+FQV2eTlhYGBG9+Ea7fv16srGxoUuXLqnVPuHh\n4ZSTk0MTJ06kxo0bS7Vea9asoVu3bqnsx8XFRfJDROTp6Vmun5e9zJ07lyIiIig3N5fs7e3J2tqa\nUlNTycfHh6ysrBQeE+W1cXEonTlzhiwsLCgrK0vltpk3b560vydOnEhz584lIqI///yT+vTpU+os\nlCKd/v37k6urK4WHhxPRi7MyxeHs4+ND06dPV/hDu5IhW3xcFhYW0tWrV2natGn0/vvvK+3LWVlZ\nNGrUKFqyZAl5eHjQ4sWLpXYseebk2LFjSvuytsCZrTizFeloMrc5s7Uns8vyowu5XRMyW8gBtr+/\nPzk5OUnLv/zyC1laWtL27dvp2rVrdPnyZSJS/qMURTpbtmyRfiyxbds26tq1q6Spjs6mTZuIiCg+\nPp62bNlCq1evVvjNUZmfkt/OFi5cSDdv3lRLY/PmzZSdnU0HDhwgOzs7mjJlSrnfsBTpeHt7S23z\nxx9/UO/evZV+U3v5oF2xYgUtXryYTp8+LZ3BmjJlCtnY2FB0dLRCnZCQEBoxYgTFxcVJWm5ubrRg\nwQJpnb/++kvpDzlU0Zk8eXK5l9FU0cnLy6Mvvvii3GAkKjvUFi5cSKGhobR79246deoUEZF0lqQy\n2+Xu7l6un7L2lYuLi/QjqcWLF9OKFSto2LBh5R4TqnghIqWXPBV9AEVGRlJsbCy9++67ZGtrS1ZW\nVhXaruIPsqKiIvL29qaePXsq3O9lhWzJwM7NzaUZM2ao1Jdv3rxJjx49ovDwcHJzc6PFixe/8iF8\n6NAhhQMpbYMzW3Fml6ejqdzmzNaezC7Ljy7kdk3IbCEH2OfOnaPp06dTcHAwEb2oNZo+fTq9+eab\ndObMGSJS3rEV6cyYMYMGDhwofduKi4uTOpu6OgMGDKDQ0NBKbdfLfiqjUXzQP3v2TOm0P6p4SUtL\nU1oaQlT2Qbt8+XL66KOPpHWePHlS5kF7+/ZtysvLo+zsbHr27Bm5urrStm3b6O7du9L7evXqJdW5\nKUJVneLaMkUf9KrqbN++nYhU+6W/ovYpntGg2E9ZWnK1T3le3NzcaM6cOaXWK6u2TN22IVLePor8\nlLy0d+PGDXrw4EGFdEp+cOzYsYOuX79ero4qIVvcBi9Tsn1KUlKrsLCQIiMjyz07pI1wZldcRxO5\nzZldPiJltiI/2p7bNSGz9d3d3d1V+kllFRMREYHbt28jMzMTNjY2uHHjBg4ePAgfHx/cuXMHv//+\nO/Lz8xEVFQVbW1vo6emV+etWVXWio6Nha2sLIyMjGBkZVUinoKAAFy9ehK2trcJf26rrpywdVTVi\nYmJga2sLfX39Mu8ypa6XBg0aoEmTJmXur+TkZNStWxd5eXno1KkToqKi8OzZM7Ru3RqGhoYYOHAg\nVq1ahddeew02NjaoVavWKzMGHDx4ENOnT8eVK1fw+++/Y+DAgejYsSP8/f3x7Nkz1K9fH61bt0Zq\naiqaNWsGS0vLMr2oo2NoaAgrK6sy95U6Ok2bNlWoo2r7uLu7w8DAANbW1mX2Z7naR5mXAQMGYPXq\n1dDX14eNjQ0AvHKXO3XbuNhLWe2jip+vv/5a6jtGRkaoX79+hXRWrVolbZelpWWZd3ErqdOyZUvU\nqVMHbdq0QcOGDXHz5k2cOXMGw4YNw7lz51C3bl00bty43L7s5+cHCwsL6X8Vaz18+BBLly7FunXr\nMHPmTIXHlrbAma04s9XRqa7c5szWnsxWxY825nZNy2whpun766+/4ObmhnfffRe3b99G69atsW7d\nOmRnZyMhIaHUtC3l3apSkzpldUg5dERrG+BFx1y2bBkGDhyIR48eYe3atZg6dSo2btwIIsKbb74J\nU1NTODg4KJyGKyUlBW5ubti4cSPMzMywY8cO9O/fH2FhYXBxccGePXuwc+dOWFtbY+/evQgNDdUK\nHXXbR1Fby+VHHS+Kbh2tqbYpbwo3ObbrZZ2srCx8/fXXMDU1BQD07dsXAHDixAm8+eabiI2NxeXL\nl5W2z65du2Bra4sjR45Ix1Xfvn2xZ88e3Lt3D6dPn0bbtm0VetIGRMslkTJb09tVFpzZ2pPZ6vrR\nltyukZmt9jlvmcnNzaURI0ZIk6wnJSVRs2bNaObMmaXW+/HHH6lHjx4K6+V0UUckL8UkJyeTubk5\nHT9+nO7fv08eHh5kbGxMSUlJdO7cOVq8eDENGjSIXF1dqUWLFgp/kJKfn0+zZ88udbendevWkYmJ\niXR58+TJk7R169Zy6/dE0xGpfUTyIqefqtL54YcfqFWrVq/UMLq6ulK7du0U1hKW1T6enp70+uuv\nS5c3MzIyqGfPnhQVFaWwfbQF0XKJdcrXES0HRNMRrX100U9NzWyND7Czs7Np3LhxpRpoyZIl1L17\nd1q8eDERvagRWrlyZbkF6rqoI5KXYip70MbHx1NERAQ9ePCAJkyYQGvWrCn1+urVq2natGmUm5tb\nrg/RdIoRpX1E8yKHn+rQUSdklbWPh4cHOTk5Se1Tch5lbUa0XGKd8nVEyQHRdIoRpX101Y9cGop0\nRM5sjQ2wS/5IZeXKlWRsbEx+fn40Z84cWrBgASUkJJCzszNlZmYSkeKie13UEclLMXIctIGBgWRh\nYUGDBg2ijz76iAICAqhdu3b07bffSuvcunWLZs+eXe5sA6LpiNY+InmRy0916qgSsnK2j7YgWi6x\nTvk6IuWAaDqitY+u+qnpma2RAXZgYCDVrVuXJkyYID3n6elJ33zzDX366afSfIf29vYK573VVR2R\nvJTUqmzHDAsLI1NTU7pw4QIRETk7O9Nnn31G//zzD7Vp04a+/vprio+PJx8fH3rjjTcU3gBANB3R\n2kckL3L5EU1H3fYpbw55bUG0XGId5Tqi5IBoOqK1j6764czWwAC7uK5s8+bN5OTkRBMnTixzvZ07\nd9LAgQMpPT29xuiI5KUYuQ7a06dPl5oGKDU1lUaNGkVERAkJCTRjxgyaN2+e0gn3RdMRqX1E8iKn\nH03pKApZudpHWxAtl1infB3RckA0HdHaRxf9cGa/QCNnsO/evUuPHz+m9PR0GjNmDE2ePFl6LT8/\nn4KCgqh3795Ki8t1UUckL0TydcyCggJpHsn8/HxKSUkhS0tL6SxMUlIS5efnS5c9tUVHpPYRyYuc\nfkTTkat9tAnRcol1FOuI1s9F0xGtfXTRD2f2CzT+I8fiIHF0dCQiokuXLtH+/fulSdBrso4IXqqi\nY+bn59Pjx49pyJAhRPTijMycOXPKnCRfdB2R2kckL3L6EU2nJHL1QW1ChFxiHcWI3M9F0BGtfXTR\nD2f2CzQ+wCZ6ESTTpk2jrl27UufOnZXWBNckHZG8yN0xnZycaPny5WRjY6P0duzaoCNS+4jkRU4/\noukUI1cf1BZEyiXWUYyo/VwUHdHaRxf91OTMFmKATUS0fv16atmyZaXrX3RRRyQvRJXvmEVFRZSX\nl0cdOnQgExMTpbc91hadYkRpH9G8yOFHNB2520ebEC2XWEcxovRz0XSKEaV9dNWPXBpy6FRnZgsx\nwM7IyKChQ4dW+luELuqI5EXujrl9+3a6cuVKpTRE0hGpfUTyIqcf0XSKkasPagsi5RLrKEbUfi6K\njmjto4t+anJm6xERqX//R/l59uwZ6tSpwzqCewEAHx8f9OnTBz169KiUDhGVeZthbdcRqX1E8iKn\nH9F05GofbUK0XGIdxYjWz0XTEa19dNFPTcxsYQbYjPZQEwcT6iBS+4jkBRDvg1W09mGYqoD7efmI\n1j666KcmZjYPsBmGYRiGYRhGRl7TtAGGYRiGYRiG0SV4gM0wDMMwDMMwMsIDbIZhGIZhGIaRER5g\nMwzDMAzDMIyM8ACbYRiGYRiGYWTk/wDLfkjvbVy4LgAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x4319590>"
]
}
],
"prompt_number": 7
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The absolute number of fatalities has declined, but so has the fatality rate per vehicle miles travelled, which indicates that we are making progress towards safer roads. Since 1994, the fatality rate while VMT increased. In recent years, Americans are driving less, with several year-over-year decreases in vehicle miles travelled since the mid-2000's. The continued decline in the fatality rate even with a decreasing denominator is an encouraging sign."
]
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Drunk Driving"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Personally, one of the first things that comes to mind when I think of traffic fatalities is drunk driving. From a young age, I recall being repeatedly warned about the dangers of drunk driving in school, on television, etc. Penalties are stiff, yet it does not seem to deter significant numbers of people from getting behind the wheel while intoxicated. The FARS data includes a drunk driver indicator, the value in the DRUNKEN_DR column indicates the number of drunk drivers involved in each fatal crash."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Number of fatalities in crashes involving a drunken driver\n",
"drunk_driver_fatalities = fatality_frame.FATALS[fatality_frame.DRUNK_DR >= 1].sum()\n",
"\n",
"print(\"Fatalities involving a drunk driver: \", drunk_driver_fatalities)\n",
"print(\"Percent of total traffic fatalities involving drunk driver: \", \n",
" '{0:.1f}%'.format(drunk_driver_fatalities / total_traffic_fatalities * 100))"
],
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "stream",
"stream": "stdout",
"text": [
"Fatalities involving a drunk driver: 10161\n",
"Percent of total traffic fatalities involving drunk driver: 30.3%\n"
]
}
],
"prompt_number": 8
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Nearly a third of all traffic fatalities involve a drunk driver. Despite all the education and public campaigns and increased enforcement, we're still losing a large number of people to drunk driving.\n",
"\n",
"What else can we learn about drunk driving from the data?"
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# pandas DataFrame pivot by hour that crash occurred and drunk driving\n",
"fatal_pivot = fatality_frame.pivot_table(rows=['HOUR'], cols=['DRUNK_DR'],\n",
" values='FATALS', aggfunc=np.sum)\n",
"# Sum the total number of drunk drivers involved\n",
"fatal_pivot['DRUNK_DR_SUM'] = fatal_pivot[[1,2,3,4]].sum(axis=1)\n",
"\n",
"figure(figsize=(10,4))\n",
"plot(fatal_pivot[0], color='g', linewidth=2.0, label='No Drunk Driver')\n",
"plot(fatal_pivot['DRUNK_DR_SUM'], linewidth=3.0, color='r', label='Drunk Driver')\n",
"xlim([0,23])\n",
"xticks(np.arange(0,23), np.arange(0,2300,100), rotation=45)\n",
"title('US Traffic Fatalities by Hour, 2012',fontsize=16)\n",
"ylabel('Total Fatalities')\n",
"xlabel('Hour')\n",
"legend(loc='lower right')\n",
"grid()\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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KlSoFwKxZs/D09ERXV5cFCxbQsWNHIGVJDHd3d2JjY+nSpQsLFy5MX7wcvpQk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ImJwcGDB+Hr64sNGzZg/PjxNicpZ5SVlSEtLc3msdGjR+PWrVuK5BcWFsLb2xtr164VH1uwYMEP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\nmwAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x7f877c961d10>"
]
}
],
"prompt_number": 9
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Clearly the late evening hours show high levels of drunken driving activity. Fatalities caused by drunken drivers are nearly double those caused by sober drivers between the hours of 2:00 and 4:00.\n",
"\n",
"I have not been able to find VMT data by hour for US, but this [report](http://www.fhwa.dot.gov/policyinformation/pubs/hf/pl11028/chapter4.cfm#fig48) from the Federal Highway Administration suggests that VMT in the late evening/early morning is a fraction of the peak volume during daytime commuting hours. On a per VMT basis, the roads at night are more dangerous than the absolute numbers show, as the elevated fatality numbers are observed despite dramatically fewer people driving at those times."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# Now look at day of week\n",
"fatal_pivot = fatality_frame.pivot_table(rows=['DAY_WEEK'],cols=['DRUNK_DR'],\n",
" values='FATALS', aggfunc=np.sum)\n",
"# Sum the total number of drunk drivers involved\n",
"fatal_pivot['DRUNK_DR_SUM'] = fatal_pivot[[1,2,3,4]].sum(axis=1)\n",
"# Days of week are indexed 1=Sunday, 2=Monday, ..., 6=Saturday\n",
"labels=['Sun','Mon','Tue','Wed','Thu','Fri','Sat']\n",
"\n",
"figure(figsize=(8,4))\n",
"plot(fatal_pivot[0], color='g', linewidth=2.0, label='No Drunk Driver')\n",
"plot(fatal_pivot['DRUNK_DR_SUM'], color='r', linewidth=3.0, label='Drunk Driver')\n",
"xticks(np.arange(len(labels)), labels)\n",
"title('US Traffic Fatalities by Day of Week, 2012',fontsize=16)\n",
"ylabel('Total Fatalities')\n",
"xlabel('Day of Week')\n",
"legend(loc='upper left')\n",
"grid()\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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MmYObN28iNjYW+vr6vMonFAoxYcIEmfI9evQIeXl5uH//PrZv3y6z/vTp03Hs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\nkpISHnzwQcuxfv36UVlZia+vL8nJycyfP5/Tp09TXV3NggULCAkJYc2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"text": [
"<matplotlib.figure.Figure at 0x3943910>"
]
}
],
"prompt_number": 10
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"As you might expect, drunk driving fatalities peak substantially on the weekends, with non-drunk fatalities remaining relatively consistent across all days of week."
]
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Weather Conditions"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The FARS data contains natural environment features such as LGT_COND and WEATHER which encode information on light conditions (light, dusk, etc) and weather (rain, fog, etc), respectively. Intuitively, I expect more fatalities to occur in darker conditions or harsh weather. "
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# pandas groupby on WEATHER column\n",
"weather_group = fatality_frame.groupby(['WEATHER']).sum()['FATALS']\n",
"# Labels from the FARS documentation\n",
"labels = ['Clear', 'Rain', 'Sleet/Hail', 'Snow', 'Fog, Smog, Smoke',\n",
" 'Severe Crosswinds', 'Blowing Sand, Soil, Dirt', 'Other',\n",
" 'Cloudy', 'Blowing Snow', 'Not Reported', 'Unknown']\n",
"figure(figsize=(8,4))\n",
"N = len(weather_group)\n",
"ind = np.arange(N)\n",
"width = 0.4\n",
"rects = bar(ind, weather_group, color='darkseagreen', edgecolor='darkseagreen')\n",
"xticks(ind + width, labels, rotation=90)\n",
"ylim([0, 30000])\n",
"title('US Traffic Fatalities by Weather Condition, 2012', fontsize=16)\n",
"ylabel('Total Fatalities')\n",
"grid(axis='y')\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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Y8ImIiDQAEz4REZEGYMInIiLSAEz4REREGoAJn4iISAMw4RMREWkAJnwiIiIN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\n",
"text": [
"<matplotlib.figure.Figure at 0x7f877c951790>"
]
}
],
"prompt_number": 11
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The majority of fatalities occur with no weather affecting visibility. Rain is the only precipitation form that shows up significantly. Perhaps people reduce driving during adverse conditions or drive more cautiously leading to fewer deaths."
]
},
{
"cell_type": "code",
"collapsed": false,
"input": [
"# pandas groupby on LGT_COND column\n",
"light_group = fatality_frame.groupby(['LGT_COND']).sum()['FATALS']\n",
"labels = ['Daylight','Dark - Not Lighted', 'Dark - Lighted',\n",
" 'Dawn', 'Dusk', 'Dark - Unknown Lighting', 'Other',\n",
" 'Not Reported', 'Unknown']\n",
"figure(figsize=(8,4))\n",
"N = len(light_group)\n",
"ind = np.arange(N)\n",
"width=0.4\n",
"rects = bar(ind, light_group, color='midnightblue',edgecolor='midnightblue')\n",
"title('US Traffic Fatalities by Light Condition, 2012', fontsize=16)\n",
"ylabel('Total Fatalities')\n",
"xticks(ind+width, labels, rotation=90)\n",
"grid(axis='y')\n",
"show()"
],
"language": "python",
"metadata": {},
"outputs": [
{
"metadata": {},
"output_type": "display_data",
"png": 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MpKioiGHDhjFkyBAAJk2axPjx4/H29sbDw4P4+HhrN0EIIYSwK7dlzL6uyZi9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\nEycMo3mVSoWRI0dazAkPmsY3sXbtWixbtsxo9KI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nh6KiIiQkJLCORURMvwNcq9VCo9Fg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\ne0IIIYRz/wdCV7Jp1dOURQAAAABJRU5ErkJggg==\n",
"text": [
"<matplotlib.figure.Figure at 0x32b82d0>"
]
}
],
"prompt_number": 12
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"At first glance, it appears that more fatalities occur during daylight. However, adding the two dark categories together will almost equal the daylight number. Going back to the drunk driving analysis, I don't have VMT by hour, but it does look like VMT [drops](http://www.fhwa.dot.gov/policyinformation/pubs/hf/pl11028/chapter4.cfm#fig48) off at night. I expect that the rate per VMT is much higher in the dark than it is during the day, similar to what we saw for hour in the drunk driving component."
]
},
{
"cell_type": "heading",
"level": 3,
"metadata": {},
"source": [
"Conclusions"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Peforming some base-level analysis on the FARS data was an interesting exercise. I think there's additional avenues to pursue with the dataset itself, especially the geographic elements, as well as joining it with other datasets, of which I did a little in the beginning.\n",
"\n",
"- The US has high rate of traffic fatalities relative to other wealthy countries\n",
"- We have made real progress in reducing deaths in recent years\n",
"- Drunk driving is still a huge social problem causing significant loss of life\n",
"- Fatal drunk driving crashes are more likely to occur late at night, especially on the weekends\n",
"- Weather is not a big factor, fatal crashes occur overhelmingly in clear atmospheric conditions\n",
"- Traffic deaths are more likely to occur in dark conditions than daylight.\n"
]
}
],
"metadata": {}
}
]
}
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