diff --git a/.ipynb_checkpoints/argument-checkpoint.ipynb b/.ipynb_checkpoints/argument-checkpoint.ipynb
index 9921764..8af37a6 100644
--- a/.ipynb_checkpoints/argument-checkpoint.ipynb
+++ b/.ipynb_checkpoints/argument-checkpoint.ipynb
@@ -23,7 +23,7 @@
    "id": "greater-circular",
    "metadata": {},
    "source": [
-    "## Overarching Question: What is the deadliest region in America to drive on?"
+    "## Overarching Question: What is the deadliest region in America to drive in?"
    ]
   },
   {
@@ -47,7 +47,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 18,
    "id": "technical-evans",
    "metadata": {},
    "outputs": [],
@@ -59,14 +59,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 24,
    "id": "overhead-sigma",
    "metadata": {},
    "outputs": [],
    "source": [
     "### 💻 FILL IN YOUR DATASET FILE NAME BELOW 💻 ###\n",
     "\n",
-    "file_name = \"B_D - bad-drivers.csv\"\n",
+    "file_name = \"B_D2 - bad-drivers.csv\"\n",
     "dataset_path = \"data/\" + file_name\n",
     "\n",
     "df = pd.read_csv(dataset_path)"
@@ -74,7 +74,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 25,
    "id": "heated-blade",
    "metadata": {},
    "outputs": [
@@ -213,7 +213,7 @@
        "4       West  "
       ]
      },
-     "execution_count": 4,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -234,8 +234,7 @@
     "### When is this data set from?\n",
     "\n",
     "I got the data set from FiveThirtyEight. It was used for an article called\n",
-    "\"Dear Mona, Which state has the worst drivers?\" in October 2014. The person who wrote the article is Mona Chalabi, they are a data editor at the Guardian US, \n",
-    "a columnist at New York Magazine, and a lead news writer for FiveThirtyEight.\n",
+    "\"Dear Mona, Which state has the worst drivers?\" in October 2014. The data they used for this article were gathered over different years between 2009 and 2012. The person who wrote the article is Mona Chalabi, they are a data editor at the Guardian US, a columnist at New York Magazine, and a lead news writer for FiveThirtyEight. \n",
     "\n",
     "The date is about fatal collisions in each state. There are 8 rows:\n",
     "\n",
@@ -260,13 +259,13 @@
     "\n",
     "3. What region is the most unlucky state for fatal collisions?\n",
     "\n",
-    "4. Is there a connection between the speed and the roads that are causing fatal collisions, that would make the Car Insurance Premiums more expensive?\n",
+    "4. Is there a connection between the average Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding and the Number of drivers involved in fatal collisions per billion miles?\n",
     "\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 26,
    "id": "f7bba5f3-5911-4a76-ad43-f6ce78cd4fb3",
    "metadata": {},
    "outputs": [
@@ -282,7 +281,7 @@
        "      dtype='object')"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -301,7 +300,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 27,
    "id": "basic-canadian",
    "metadata": {},
    "outputs": [
@@ -311,7 +310,7 @@
        "<function seaborn.rcmod.set_theme(context='notebook', style='darkgrid', palette='deep', font='sans-serif', font_scale=1, color_codes=True, rc=None)>"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -363,7 +362,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 28,
    "id": "negative-highlight",
    "metadata": {},
    "outputs": [
@@ -373,13 +372,12 @@
        "region\n",
        "Southeast    29.687500\n",
        "West         30.363636\n",
-       "Northwest    31.000000\n",
-       "Northeast    31.444444\n",
+       "Northeast    31.333333\n",
        "Midwest      31.666667\n",
        "Name: percentage_drivers_fatal_alcohol_impaired, dtype: float64"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -397,7 +395,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 29,
    "id": "victorian-burning",
    "metadata": {},
    "outputs": [
@@ -407,13 +405,13 @@
        "<Axes: xlabel='region', ylabel='percentage_drivers_fatal_alcohol_impaired'>"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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tY8aMibZ+wIAB0qBBA/dKAwAA4I2aGW1a6tixY7T12rvpwIED7uwSAADAe8FM9uzZZdeuXdHW67ocOXLEej+jR4+WSpUqSYYMGczzWrRoIYcPH3Z5TN26dU1376iLTqcAAADgdjNT586d5e2335YTJ05I9erVzboNGzbIJ598In369In1ftasWSNdu3Y1Ac29e/fk/fffl4YNG5ranXTp0rm83vDhw533/f39OXoAAMD9YGbIkCGmNuXzzz+XQYMGmXV58uSRoUOHSo8ePWK9n6VLl7rcnzFjhqmh2b59u9SuXdsleMmVK5c7RQUAAImcW81M2tSjCcBnzpyRq1evmkVva9fsuMygrftRWbJkcVn/448/SrZs2aR06dImeLpx48ZD93H79m0JDw93WQAAQOLlVs2MjgaszUJFixY1NTRRZ9PWeZoKFiz4xPuMjIyUXr16SY0aNUzQYnn11VfNgH1a86PzQ2lvKc2rWbhw4UPzcIYNG+bOnwUAAJJKMPPGG2+YnksazESlY818++23snr16ifep+bO7Nu3T9avX++yXnNzLDqpZe7cuaV+/fpm0L6YBujTmpuoeTtaMxMYGCh2xhw0AAB4uJlp586dpgblQVWrVo2xl9PjdOvWTZYsWSLBwcGSL1++Rz62SpUq5v9jx47FuN3Pz08yZszosiSWOWisRe8DAIA41MxoXsy1a9dizHl5khmzdZbt7t27y6JFi0xtTqFChR77HCtY0hoaAAAAt2pmtKeR5qZEDVz0tq6rWbPmEzUtzZo1S2bPnm1yby5cuGCWmzdvmu3alDRixAjTu+nkyZOyePFiad++vXl9nUIBAADArZoZHU9GA4pixYpJrVq1zLp169aZ/JRVq1bFej9TpkxxDowX1fTp001eTurUqWXFihVmQsuIiAiT+9KqVSsZPHiwO8UGAACJkFvBjE4yqT2LvvzyS9m9e7ekTZvW1Jho7suD3aof18z0KBq86MB6AAAAHg1mlHaVHjVqlLtPBwAA8G4wozUxsUU+CwAA8Llgpnz58qYX0+OahvQxT9KjCQAAwCvBjI76CwAAYNtgRqcUAAAASDQJwOrAgQNy+vRpuXPnjsv6Zs2axbVcAAAA8RfMnDhxQlq2bCl79+51yaOxZswmZwYAAPj0CMA9e/Y0Uw+EhYWJv7+/7N+/X9auXSsVK1Z0a5JJAAAAr9bMbNy40Yz0my1bNkmePLlZdBoDnc6gR48eZiJKAAAAn62Z0WYknUtJaUBz7tw5Z5Lw4cOHPVtCAAAAT9fMlC5d2kxjoE1NVapUkbFjx5p5lKZOnSqFCxd2Z5cAAADeC2Z0oked+FENHz5cXnzxRTPhZNasWWXu3LnulQQAAMBbwUyjRo2ct4OCguTQoUNy+fJlyZw5s7NHkzpz5oyZw0lzagAAAOKDx6IMnS07aiBjza598uRJT70EAABANPFaZfK4eZwAAADiivYfAACQdKczAJIaR4pUcrVsW5f7AICERTADPAmdviNl6oQuBQDAW81MDyYEAwAAeBoJwAAAwNbitZnpwIEDZpwZAACABA9mXnrppVjvdOHCheb/wMBA90oFAADg6WAmICAgtg8FAADwvWBm+vTp8VsSAAAANzBoHgAASJoJwPPnz5eff/5ZTp8+LXfu3HHZtmPHDk+UDQAAIH5qZiZNmiRvvvmm5MyZU3bu3CmVK1eWrFmzyokTJ6Rx48bu7BIAAMB7wcxXX30lU6dOlS+++EJSp04t/fv3l+XLl0uPHj3k6tWr7pUEAADAW8GMNi1Vr17d3E6bNq1cu3bN3G7Xrp389NNP7uwSAADAe8FMrly55PLly+Z2/vz5ZdOmTeZ2SEgIo/4CAADfD2bq1asnixcvNrc1d6Z3797SoEEDad26tbRs2dLTZQQAAPBsbybNl4mMjDS3u3btapJ///rrL2nWrJm888477uwSAADAe8HMmTNnXKYqaNOmjVm0iSk0NNQ0PQEAAPhsM1OhQoXkn3/+ibZe82h0GwAAgE8HM1oDkyxZsmjrr1+/LmnSpPFEuQAAADzfzNSnTx/zvwYyQ4YMEX9/f+e2+/fvy+bNm6V8+fKeLyUAAIAnamZ0tF9dtGZm7969zvu6HDp0SMqVKyczZsyI9f5Gjx4tlSpVkgwZMkiOHDmkRYsWcvjwYZfH3Lp1y5lknD59emnVqpX8/fffT1JsAACQiD1RzUxwcLCzO/bEiRMlY8aMcXrxNWvWmEBFA5p79+7J+++/Lw0bNpQDBw5IunTpzGO02/dvv/0m8+bNk4CAAOnWrZu89NJLsmHDhji9NgAASMK9maZPn+6RF1+6dKnLfa3V0Rqa7du3S+3atc3UCN99953Mnj3bjG1jvXaJEiXMQH1Vq1aNts/bt2+bxRIeHu6RsgIAgEQ2a/a2bdseOmv2woUL3dqnNa9TlixZzP8a1Ny9e1eee+4552OKFy9uun5v3LgxxmBGm66GDRvm1usDAIAk0ptpzpw5Zm6mgwcPyqJFi0zAsX//flm1apVpCnKHDsLXq1cvqVGjhpQuXdqsu3DhgpnIMlOmTC6P1dm6dVtMBg0aZIIia9FxbwAAQOLlVs3MqFGjZPz48SbfRZN3NX9Gx5fR0X9z587tVkF0X/v27ZP169dLXPj5+ZkFAAAkDW7VzBw/flxeeOEFc1trTiIiIkx3bU3W1akOnpQm9S5ZssQkGOfLl89lQkttwrpy5YrL47U3k24DAABwK5jJnDmzXLt2zdzOmzevqVFRGnTcuHEj1vvRLt4ayGhTlTZRPTh6cIUKFSRVqlSycuVK5zrtuq15OtWqVXOn6AAAIJFxq5lJexotX75cypQpIy+//LL07NnTBCO6rn79+k/UtKQ9lX799VfTXGXlwWjeTdq0ac3/HTt2NIP1aVKwdgXv3r27CWRiSv4FAABJj1vBzJdffmkGs1MffPCBqT3RWbN1QLvBgwfHej9Tpkwx/9etW9dlvXa/fuONN8xtzc1Jnjy52bd2uW7UqJF89dVX7hQbAAAk5WBGa0dGjBhhBrPTZiXtzaQ00Bg4cKBbL67NTI+jcz1NnjzZLAAAAG7nzHzxxRdmIkn17LPPmhmyAQAAbFMzU7BgQZk0aZKZbkBrVHTQOk0EflhODQAAgE8FM59++qm8++67ZoRd7YbdsmXLGB+n23QGbQAAAJ8KZnRGa120qUl7FWkXaZ1HCQAAwFbjzKRPn94MbqdjwmjX6ZgWy5gxY6INeAcAAJDgg+bVqVNHUqZMGatpD0gUBgAAPhfMeLLrNQAAgM8GMwAAAPGNYAYAANgawQwAALA1ghkAAGBr8RrM1KpVy8x+DQAA4FPBzI4dO2Tv3r3O+7/++qsZUO/999+XO3fuONf//vvvkjt3bs+UFAAAwFPBzDvvvCNHjhwxt0+cOCFt2rQRf39/mTdvnvTv39+dXQIAAHgvmNFApnz58ua2BjA6seTs2bNlxowZsmDBAvdKAgAA4K1gRgfDi4yMNLdXrFghTZo0MbcDAwPl4sWL7uwSAADAe8FMxYoVZeTIkfLDDz/ImjVr5IUXXjDrQ0JCJGfOnO6VBAAAwFvBzIQJE0wScLdu3eSDDz6QoKAgs37+/PlSvXp1d3YJAADglsfPFvmA+/fvm5mw165dK5kzZ3bZ9umnn0qKFCncKwkAAIA3amY0WGnYsKEJaB6UJk0aSZUqlTvlAAAA8F4zU+nSpU2XbAAAAFsGM5r8+95778mSJUvk/PnzEh4e7rIAAAD4bM6MsrpiN2vWTJIlS+bSZVvva14NAACAzwYzwcHBni8JAACAt4KZOnXquPM0AAAA35k1e926dfL666+bcWXOnj1r1ukgeuvXr/dk+QAAADwfzOj8S40aNZK0adOawfNu375t1l+9elVGjRrlzi4BAAC825vp66+/lm+++cZlXJkaNWqY4AYAAMCng5nDhw+bmbIfFBAQEONgegAAAD4VzOTKlUuOHTsWbb3myxQuXNgT5QIAAIi/YKZz587Ss2dP2bx5sxlX5ty5c/Ljjz+agfS6dOnizi4BAAC81zV74MCBEhkZKfXr15cbN26YJic/Pz8TzHTv3t29kgAAAHgrmNHamA8++ED69etnmpuuX78uJUuWlPTp07uzOwAAAO82M82aNcvUyKROndoEMZUrVyaQAQAA9glmevfuLTly5JBXX31Vfv/9d+ZiAgAA9gpmdKbsOXPmmOamV155RXLnzi1du3aVv/7664n2s3btWmnatKnkyZPH7OuXX35x2f7GG2+Y9VGX559/3p0iAwCARMqtYCZlypTy4osvmh5MYWFhMn78eDl58qQ8++yzUqRIkVjvJyIiQsqVKyeTJ09+6GM0eNHgyVp++uknd4oMAAASKbcSgKPy9/c3Uxv8+++/curUKTl48GCsn9u4cWOzPIr2ktJxbQAAADw60aQmAGvNTJMmTSRv3rwyYcIEadmypezfv188afXq1SY/p1ixYmYMm0uXLj3y8TpPVHh4uMsCAAASL7dqZtq0aSNLliwxtTKaMzNkyBCpVq2axwunTUwvvfSSFCpUSI4fPy7vv/++qcnZuHGjpEiRIsbnjB49WoYNG+bxsgAAgEQUzGgg8fPPP5vmpYcFFZ6gQZOlTJkyUrZsWZOTo7U1OmBfTAYNGiR9+vRx3teamcDAwHgrIwAAsGEwo81LCUHnfcqWLZsZqO9hwYzm2OgCAACShlgHM5MmTZK3335b0qRJY24/So8ePSQ+nDlzxuTMaFdwAACAJwpmtPv1a6+9ZoKZcePGmTFfYqLrYxvM6DQIUWffDgkJkV27dkmWLFnMorkvrVq1Mr2ZNGemf//+EhQUZJq3AAAAniiY0UDDomPKeMK2bdvM2DQWK9elQ4cOMmXKFNmzZ498//33cuXKFTOwXsOGDWXEiBE0IwEAAPdzZu7evSvFixc3vZlKlCghcVG3bl1xOBwP3b5s2bI47R8AACR+TzzOTKpUqeTWrVvxUxoAAABvDJqn8zB98skncu/ePXeeDgAAkLBds7du3SorV66UP//804z/ki5dOpftCxcu9FT5AAAAPB/MZMqUyfQyAgAAsGUwM336dM+XBAAAwJsTTQIAANiqZubpp59+6EB5D9qxY0dcygQAAOD5YKZFixbO29o1+6uvvpKSJUs6Z8vetGmT7N+/X/7zn//E/tUBAAC8Fcx89NFHztudOnUyUxboaLwPPiY0NDSuZQIAAIjfnJl58+ZJ+/bto61//fXXZcGCBe7sEgAAwHvBTNq0aWXDhg3R1us6nYgSAADAp7tm9+rVS7p06WISfStXrmzWbd68WaZNmyZDhgzxdBkBAAA8G8wMHDhQChcuLBMnTpRZs2aZdTrppI4/88orr7izSwAAAO8FM0qDlscFLj/99JM0a9Ys2nQHAAAAthg075133pG///47Pl8CAAAkcfEazDgcjvjcPQAAANMZAAAAeyOYAQAAtkYwAwAAbI1gBgAA2Fq8BjMFChSQVKlSxedLAACAJM7tYObKlSvy7bffyqBBg+Ty5ctmnY4IfPbsWedj9u3bJ4GBgZ4pKQAAgKcGzduzZ48899xzEhAQICdPnpTOnTtLlixZZOHChXL69GmZOXOmO7sFAADwTs1Mnz595I033pCjR4+6TCzZpEkTWbt2rTu7BAAA8F4ws3XrVjO674Py5s0rFy5ccK8kAAAA3gpm/Pz8JDw8PNr6I0eOSPbs2d3ZJQAAgPeCGZ08cvjw4XL37l1zP1myZCZXZsCAAdKqVSv3SgIAAOCtYObzzz+X69evS44cOeTmzZtSp04dCQoKkgwZMsjHH3/szi4BAAC815tJezEtX75c1q9fb3o2aWDzzDPPmB5OAAAAPh/MWGrWrGkWAAAAWwUzkyZNinG95s5oV21tcqpdu7akSJEiruUDAADwfDAzfvx4+eeff+TGjRuSOXNms+7ff/8Vf39/SZ8+vYSFhUnhwoUlODiYEYABAIDvJQCPGjVKKlWqZAbNu3Tpklm0W3aVKlVk4sSJpmdTrly5pHfv3p4vMQAAQFxrZgYPHiwLFiyQIkWKONdp09Jnn31mumafOHFCxo4dSzdtAADgmzUz58+fl3v37kVbr+usEYDz5Mkj165di3sJAQAAPB3MPPvss2Y6g507dzrX6e0uXbpIvXr1zP29e/dKoUKFHrkfncepadOmJvDR5OFffvnFZbvD4ZAPP/xQcufOLWnTpjVdv7VpCwAAIE7BzHfffWdmya5QoYKZ2kCXihUrmnW6TWkisA6u9ygRERFSrlw5mTx5cozbtalKe059/fXXsnnzZkmXLp00atRIbt265U6xAQBAIuRWzowm9+qgeYcOHTKJv6pYsWJmiVp78ziNGzc2S0y0VmbChAkmP6d58+Zm3cyZMyVnzpymBqdNmzbuFB0AACQycRo0r3jx4maJDyEhISb/JuqowjrysPaY2rhx40ODmdu3b5vFEtOEmAAAIPFwO5g5c+aMLF682HTDvnPnjsu2cePGxblgViKx1sREpfetbTEZPXq0DBs2LM6vDwAAEnEws3LlSjNztg6Mp01NpUuXlpMnT5qmIZ2jKSENGjRI+vTp41Izw8B9AAAkXsndDRjee+8902NJpy/QMWdCQ0PN7Nkvv/yyRwqmeTnq77//dlmv961tMdFk5IwZM7osAAAg8XIrmDl48KC0b9/e3E6ZMqXcvHnT9F4aPny4fPLJJx4pmHbr1qBFa4Gi1rJor6Zq1ap55DUAAEASbWbSLtJWnoyOAXP8+HEpVaqUuX/x4sVY7+f69ety7Ngxl6TfXbt2mS7e+fPnl169esnIkSOlaNGiJrgZMmSIGZOmRYsW7hQbAAAkQm4FM1WrVpX169dLiRIlpEmTJtK3b1/T5LRw4UKzLba2bdvm0oXbynXp0KGDzJgxQ/r372/Gonn77bflypUrUrNmTVm6dKlp2gIAAHA7mNHeSlqrorTnkN6eO3euqUF5kp5MdevWNUnDD6OjAmvTlS4AAAAeC2a0F1PUJicdoRcAAMA2CcAazFy6dCnaem0KihroAAAA+GQwo2PK3L9/P9p6HXn37NmznigXAACA55uZdMRfy7Jly8z0AhYNbrQbdcGCBZ9klwAAAN4LZqwu0ZqYqz2OokqVKpUJZB43UzYAAECCBTORkZHmfx3zZevWrZItWzaPFgYAAMArvZl0cDsAAABbz5qt+TG6hIWFOWtsLNOmTfNE2QAAAOInmNGB8nQgu4oVK5rpDDSHBgAAwDbBjA6Sp9MNtGvXzvMlAgAAiO9xZnSSyerVq7vzVAAAgIQPZjp16iSzZ8/2bEkAAAC81cx069YtmTp1qqxYsULKli1rxpiJ6kkmmwQAAPB6MLNnzx4pX768ub1v3z6XbSQDAwAAnw9mgoODPV8SAAAAb+XMWI4dO2bmaLp586a573A44rI7AAAA7wQzly5dkvr168tTTz0lTZo0kfPnz5v1HTt2lL59+7qzSwAAAO8FM7179zZJv6dPnxZ/f3/n+tatW8vSpUvdKwkAAIC3cmb+/PNP07yUL18+l/VFixaVU6dOubNLAAAA79XMREREuNTIWC5fvix+fn7ulQQAAMBbwUytWrVk5syZLt2xdbLJsWPHyrPPPuvOLgEAALzXzKRBiyYAb9u2zUxt0L9/f9m/f7+pmdmwYYN7JQEAAPBWzUzp0qXlyJEjUrNmTWnevLlpdnrppZdk586dUqRIEXd2CQAA4L2aGRUQECAffPCBu08HAABIuJqZ6dOny7x586Kt13Xff/+9J8oFAAAQf8HM6NGjJVu2bNHW58iRQ0aNGuXOLgEAALwXzOhgeYUKFYq2vkCBAmYbAACATwczWgOjM2c/aPfu3ZI1a1ZPlAsAACD+gpm2bdtKjx49zOzZ9+/fN8uqVaukZ8+e0qZNG3d2CQAA4L3eTCNGjJCTJ0+asWZSpvz/dqGD5rVv356cGQAA4NvBjMPhkAsXLsiMGTNk5MiRsmvXLkmbNq2UKVPG5MwAAAD4fDATFBRkRvzViSV1AQAAsE3OTPLkyU0Ac+nSpfgpEQAAQHwnAI8ZM0b69esn+/btc+fpAAAACZsArIm+N27ckHLlyknq1KlNzkxUOuEkAACAzwYzEyZM8HxJAAAAvBXMdOjQQbxl6NChMmzYMJd1xYoVk0OHDnmtDAAAIBHOmn38+HEz4aT+P3HiRDMq8B9//CH58+eXUqVKebSQur8VK1Y471tj2wAAALiVALxmzRozrszmzZtl4cKFcv36ded0Bh999JGny2iCl1y5cjmXmCa5tNy+fVvCw8NdFgAAkHi5FcwMHDjQDJi3fPlykwBsqVevnmzatEk87ejRo5InTx4pXLiwvPbaa4+czFJn9A4ICHAugYGBHi8PAACweTCzd+9eadmyZbT12tR08eJF8aQqVaqY0YaXLl0qU6ZMkZCQEKlVq5Zcu3YtxscPGjRIrl696lxCQ0M9Wh4AAOBb3Eo+yZQpk5w/f14KFSrksn7nzp2SN29e8aTGjRs7b5ctW9YENzptws8//ywdO3aM9ng/Pz+zAACApMGtmhmdGXvAgAFmjqZkyZKZSSY3bNgg7733nhmDJj5pIPXUU0/JsWPH4vV1AABAIg5mdGbs4sWLm3wUTf4tWbKkafqpXr26DB48WOKTvp72oMqdO3e8vg4AAEjEzUya9PvNN9/Ihx9+aPJnIiIi5OmnnzYTUHqa1vY0bdrUNC2dO3fO9JZKkSKFtG3b1uOvBQAA7MftAVu+++47GT9+vOlppHTyyV69ekmnTp08WT45c+aMCVx0Ysvs2bNLzZo1TY8pvQ0AAOBWMKM1MuPGjZPu3btLtWrVzLqNGzdK7969Tbfp4cOHe6yAc+bM8di+AABA4uNWMKNdpLWZKWpTT7NmzUxvIw1wPBnMAAAAeDwB+O7du1KxYsVo6ytUqCD37t1zZ5cAAADeC2batWtnamceNHXqVDNCLwAAgC0SgP/880+pWrWqua/zNGm+jI4z06dPH+fjNLcGAADAp4KZffv2yTPPPGNu65gvSid/1EW3WXRAPQAAAJ8LZoKDgz1fEgAAAG/lzAAAAPgKghkAAGBrBDMAAMDWCGYAAICtEcwAAABbI5gBAAC2RjADAABsjWAGAADYGsEMAACwNYIZAABgawQzAADA1ghmAACArRHMAAAAWyOYAQAAtkYwAwAAbI1gBgAA2BrBDAAAsDWCGQAAYGsEMwAAwNYIZgAAgK0RzAAAAFsjmAEAALZGMAMAAGyNYAYAANgawQwAALA1ghkAAGBrBDMAAMDWCGYAAICtEcwAAABbs0UwM3nyZClYsKCkSZNGqlSpIlu2bEnoIgEAAB/h88HM3LlzpU+fPvLRRx/Jjh07pFy5ctKoUSMJCwtL6KIBAAAf4PPBzLhx46Rz587y5ptvSsmSJeXrr78Wf39/mTZtWkIXDQAA+ICUCV2AR7lz545s375dBg0a5FyXPHlyee6552Tjxo0xPuf27dtmsVy9etX8Hx4e/tjXu3/7pkfKnRTF5v19EhwL3zkeHIu44dzwHRwLex0L6zEOh+PxO3T4sLNnz+pf4Pjrr79c1vfr189RuXLlGJ/z0UcfmeewsLCwsLCwiO2X0NDQx8YLPl0z4w6txdEcG0tkZKRcvnxZsmbNKsmSJRO70gg1MDBQQkNDJWPGjAldnCSNY+E7OBa+g2PhO8ITybHQGplr165Jnjx5HvtYnw5msmXLJilSpJC///7bZb3ez5UrV4zP8fPzM0tUmTJlksRCP5h2/nAmJhwL38Gx8B0cC9+RMREci4CAAPsnAKdOnVoqVKggK1eudKlp0fvVqlVL0LIBAADf4NM1M0qbjDp06CAVK1aUypUry4QJEyQiIsL0bgIAAPD5YKZ169byzz//yIcffigXLlyQ8uXLy9KlSyVnzpySlGjTmY6182ATGryPY+E7OBa+g2PhO/yS4LFIplnACV0IAAAAd/l0zgwAAMDjEMwAAABbI5gBAAC2RjDj41avXm0G+7ty5UpCFwVIcG+88Ya0aNEioYuRaNWtW1d69er1yMcULFjQ9CqF73kjCZ8fBDOxpD2qunTpIvnz5zcZ4jpon87evWHDBq9eSBJCYguodLLSDBkyyL1795zrrl+/LqlSpTLHIKa//fjx426/3smTJ80+du3aJYntwql/15gxY1zW//LLL3Eebdsu75kdvtit4/Tuu+9G29a1a1ezTR+jFi5cKCNGjBBfpWXVz5cdJNXz440ECqgIZmKpVatWsnPnTvn+++/lyJEjsnjxYvPFd+nSpYQuGp7Qs88+a4KXbdu2OdetW7fOBKibN2+WW7duOdcHBwebALZIkSIJVFrfliZNGvnkk0/k33//9egEs/AsHdp+zpw5cvPm/z8xon7OZ8+ebT7flixZsphAH57B+eE9BDOxoDUS+mWnH0r9IixQoIAZwE/ngWrWrJl5zOnTp6V58+aSPn16M3z0K6+84jINQ0zRqtbCWDUBun3NmjUyceJEE3HrotG3RWcP14ED/f39pXr16nL48GGXff3666/yzDPPmJOncOHCMmzYMJeah3HjxkmZMmUkXbp05sL2n//8x3yhW06dOiVNmzaVzJkzm8eUKlVKfv/9d1MG/ZuVbov6K86uihUrJrlz5za1Lha9rcevUKFCsmnTJpf1+vfryNOjR48229OmTSvlypWT+fPnOx+nF6vXXntNsmfPbrYXLVpUpk+fbrbpc9TTTz9t3r8Ha3/sTGew1yBQ35uHWbBggfk8aY2m1mR8/vnnLtt1ndYGtG/f3pw7b7/99mPfs88++8wcQ51zTWsX7t69a9Z/+eWXUrp06Wi/grU2LmqZBw8eHKtzR0euGDp0qLNGVueI6dGjh9mmZdLzpnfv3s5z1lfp36fnvda8WPS2/l36Hj+sdjgsLMxcF/Qzrcfkxx9/dNnve++9Jy+++KLzvtZS6fugY4FZgoKC5Ntvv3Xe19slSpQw73fx4sXlq6++cvmi7tatmzm2ul2vtdZnSz8nqmXLluY1rPu+zNfOD3X79m1z3PLmzWuu9VWqVHG5FuoP9LZt25rt+n2j3xs//fSTRKXXPl2vnwt9Df07dTBbPVf0B7+eU9Y5EXXf8cpTM1wnZnfv3nWkT5/e0atXL8etW7eibb9//76jfPnyjpo1azq2bdvm2LRpk6NChQqOOnXqOB/ToUMHR/PmzV2e17NnT+djrly54qhWrZqjc+fOjvPnz5vl3r17juDgYDNraJUqVRyrV6927N+/31GrVi1H9erVnftZu3atI2PGjI4ZM2Y4jh8/7vjzzz8dBQsWdAwdOtT5mPHjxztWrVrlCAkJcaxcudJRrFgxR5cuXZzbX3jhBUeDBg0ce/bsMfv43//+51izZo0pw4IFC0wZDh8+bMqlZbW7V1991dGwYUPn/UqVKjnmzZvnePfddx0ffvihWXfjxg2Hn5+feV9HjhzpKF68uGPp0qXm/Zk+fbrZpsdEde3a1XwGtm7dat7j5cuXOxYvXmy2bdmyxbx/K1asMO/fpUuXHImB9ZleuHChI02aNM6ZbRctWmT+XqXnQ/LkyR3Dhw83nx9939KmTWv+txQoUMB8fj/77DPHsWPHzPKw90xfUx+rx+ngwYPmc+rv7++YOnWq2a6f32TJkjnCwsLMfT1ns2XL5mjdurW5f+fOHfN4PT6xOXf0M6Hbf//9d8epU6ccmzdvdr6Wlilfvnzmb7POWV8+TuPGjXPUr1/fuV5v63VBt+ljlF6P9Lpkady4saNcuXKOjRs3mmOp1x09fvo8pZ/xgIAAc51QLVq0MO/3gAEDzP0zZ86Y43j06FFzf9asWY7cuXOba8qJEyfM/1myZDHvv/r0008dgYGB5ricPHnSsW7dOsfs2bPNNj2mui/97Oh7bR1jX+WL54fq1KmTOY76Huu+9D3Xa9mRI0ecx0zX7dy505wTkyZNcqRIkcJ89tW5c+ccKVOmNJ8nvdbpOTd58mTHtWvXzPLKK684nn/+eec5cfv2bYc3EMzE0vz58x2ZM2c2H0r9IAwaNMixe/dus00vgHqwT58+7Xy8Bh36YdMPXWyCmZguJMoKZvRDa/ntt9/Mups3bzovSqNGjXJ53g8//GAuGg+jF+msWbM675cpU8Yl+ImpDP/++68jsfjmm28c6dKlM4FqeHi4OTn14qgXztq1a5vHaNCnf7deVPWC8Ndff7nso2PHjo62bdua202bNnW8+eabMb6WnvC6H704JCZRP9NVq1Z1vPXWW9Eu1ho0apAcVb9+/RwlS5Z0uVjrl2Bs3jN9TX289eWpXn75ZWewEhkZaT7X+vlWGmCOHj3akStXLnN//fr1jlSpUjkiIiJide58/vnnjqeeesoEQTHRslhf7L5+nPTzrV9a+nnWRa9l//zzz0ODGf1yjXoNU/oFqeusv1mvCfplrEG8vvcamOj7rT++rOAlb968zucXKVLEGZxYRowYYX7Iqe7duzvq1atn9hUTfW39fNmBL54fp06dMt9VZ8+edXmengf6nfYw+mO3b9++5vb27dud18XH/d3eRDPTE+TMnDt3zuTKPP/886bqTKtuZ8yYIQcPHjRVuLpYSpYsaWbr1m2eULZsWedtrT60qoDV7t27Zfjw4aaJy1o6d+4s58+flxs3bpjHrFixQurXr2+qDrVNvF27dqY60dquVecjR46UGjVqmGGw9+zZI4mZVstqtejWrVtNE+JTTz1lmojq1KnjzJvRY6zNDtocp+9TgwYNXN7jmTNnOhODNTlccxJ0uo3+/fvLX3/9JUmJNsFq9fKDn3e9r5+pqPT+0aNH5f79+8512oQaW1olnyJFCpfzwToXtFq7du3a5thp8/CBAwdMk6pWrR86dMg05VaqVMlUn8fm3Hn55ZdNnol+DnT9okWLXJpv7UQ/3y+88IK5ZmkTqN7Oli3bQx+vxy5lypRmsl+LNgvpdc2it7XJVd/vvXv3msmBtRlE8wv1vNH3W88ppeebni8dO3Z0eb/1umOdR9qErUmt2hSs16Q///xTEgNfOT/27t1r9qvXu6jHQI+TdQx0uzZraTOS5lDp9mXLlplUCqXHW79LdLueH998841Hc4LcRTDzBLQNV7/QhgwZYr6s9MTTL/7YSJ48uWl/jypqO+bjaE8bi9U2r3kcSi8a2s6vFwFr0Q+tnhBaZs170XZtDYi0fVbzbyZPnuySTNapUyc5ceKECXL0uXryfPHFF5JYaTt+vnz5TIKvLtYFV3MiNCjV46vr69Wr58wt+u2331zeY/2itPJmGjdu7Myf0KBXT3Ztl04qNIDQ3n2aR+YObbt351ywzgfrXLACVf1y1SBVcwo0z8AKcKJ+ucbm3NHPguanaV6H5gdoYKT7epJz15e89dZbJpjRL1a97QnW+229t/oFqDkx69evd3m/rfNIv/yivt/79u1z5qnpD8SQkBDzZapBpOYe/t///Z/Yna+cH9evXzeBjn4HRD0GGlRpvqb69NNPze0BAwaYa6Bu17Jb3xX6/OXLl8sff/xhfrTr94QGn3rcEpLPTzTpy/RAaoKhnrihoaFmsWpn9ItOfxnqY6xfRXrSRqUfkqgfPP1VEzUajy29AOgFV7+gY6IfXP0wa2KZBlXq559/jvY4Lbt239RFTzq96HTv3t2US7lTNl+mib16EdZfFf369XO58OiJumXLFlPjosdQk/P0l0nUL8IH6THWGd51qVWrltmnJuIl1vfvQdoFVWum9MJm0XPjweEL9L7+Moz66/FBcXnP9BhpEuu8efOciZH6v9ZO6mv37ds31ueO0iBGk2B10WRKrZ3QgEef6+45m1C0Vlm/lPQLTr+gHkX/Tq2F0uuH1mYpfa8eHKJB3+9p06aZWhzdv/V+a9Ko9vy0joFODqw/FvRHkybLP4wGnzrBsC4ayOg+L1++bIIkvV7a6f32tfPj6aefNs/Rmhq9RsVEX187Q7z++uvmvn536HG0vsuUfn60BkkXnQRaE7W11rJPnz4Jdk4QzMSCNsdodZr+ktHaDW2m0W69Y8eONQddM7m1yk1PUM3m1wuA/oLTk9yqHtRf+BrxatNEtWrVZNasWSa4idqTQLPWtYlDa1K0ak9P3tjQD5PWvGjPBD35NWDR6nPdv1bh6oVaf0lqBK0XZP2wRu3dofTir7ULehLpl7tG5HqiKf2g6od3yZIl0qRJE3Nx1/IlhmDGyvSPGqTobe1RoRd9fYweb61l0VoXPbFr1qwpV69eNe+jXng1eNFjoNXxWsWrTRr6XlnvX44cOcx7pj08tDZIf/EHBARIYmOdA5MmTXKu08BBvwj1l7Z+OW3cuNH0OIragyUmcXnP9BzVnnfa7ViPg9IvVD2G1kU4tueO1mLohVl7fGjTlJ63Wi49J6xzdu3atdKmTRsT8D6q2cYX6Bek1dTxqC9LpV+6Gki88847MmXKFBOs6HVC//6oNPi/du2aea+tMVX0/db3U5s49Jpi0VowbT7SY6n71nNFr6V6zdEvQu11qc/R66IeCw1ItTeQ1bSl7/fKlSvNMdT3W4+zXfjC+fHUU0+ZMmjPKP1xq++zjqGm76meN9r0qD0xtcZZa6f1/dVjoj1zrWBGv6P08Q0bNjTl0Pu6D+t6p8dIm6U08NWeTlquB2uL4oXXs3RsSHswDRw40PHMM8+YzH1NBtXeQIMHDzY9XqzEqmbNmpmk0gwZMpikqwsXLrjsR3vJ5MyZ0+yjd+/ejm7durkkAGvCnSaKaTa7HhpN8oop+VaTvqztFu1lY/U00Gz2ypUru2Swa+a5JjXq9kaNGjlmzpzpsl8tiybnaYJg9uzZHe3atXNcvHjR+XzNttckSu0pYiUL2p2VRKe9lKLSxDZdr8fYogmJEyZMMOs0gVTfI30ftceXlcRYokQJ8/5qEqQmwGlvjagJx9pLQ5Mlox5zO4sp0U/f09SpUzsTHK3keU1o1Pctf/78pqdEbJJoY3rPYpNIr/QxmtStvSusHoeawK/n14Mede5osqYms+p6Pbf1+VGT8bWXT9myZc1546uX08clZD6qN5P2RtHkT/379NjpdSOm46U9nqwka6W9a/Ra0aZNm2iv9+OPP5rEbP2c6DHRhHvt8aP0fddt+l7re66JqTt27HA+V3tPBQUFmWOr5fBlvnp+3Llzx3wXaa89fU39XmjZsqXplWQdO92H9uDNkSOH+Z5r3769c78HDhww1z69BurnQhPkv/jiC+f+NdFck5r1+fp36neYNyTTf+I/ZAIAAIgfJAADAABbI5gBAAC2RjADAABsjWAGAADYGsEMAACwNYIZAABgawQzAADA1ghmAACArRHMALA9HUJdpxIBkDQxAjAA29O5YXRmYZ0/CUDSQzADIMHoZJ7WDMAA4C6amQB4jc6mrDOS6+zLOsN0o0aNzAzVOmO7zsSeM2dOadeunVy8eNH5HJ2RWWf61ZoXnVF5/PjxZj+6j4c1M50+fdrMaK/71JnNX3nlFTPzr2Xo0KFSvnx5+eGHH8xzdWZfnflaXwuA/RDMAPCq77//3tTGbNiwQcaMGSP16tWTp59+WrZt2yZLly41QYcGH5Y+ffqYxy5evFiWL18u69atkx07djx0/5GRkSaQuXz5sqxZs8Y858SJE9K6dWuXxx0/flx++eUXWbJkiVn0sVoeAPaTMqELACBpKVq0qIwdO9bcHjlypAlkRo0a5dw+bdo0CQwMlCNHjpiaGA1+Zs+eLfXr1zfbp0+fLnny5Hno/leuXCl79+6VkJAQsx81c+ZMKVWqlGzdulUqVarkDHpmzJghGTJkMPe1Rkif+/HHH8fr3w/A8whmAHhVhQoVnLd3794twcHBpjnoQVpzcvPmTbl7965UrlzZuV6bhIoVK/bQ/R88eNAEMVYgo0qWLCmZMmUy26xgRpuXrEBGaeAUFhbmkb8RgHcRzADwKs19sVy/fl2aNm0qn3zySbTHaXBx7NixeCtHqlSpXO4nS5bM1NYAsB9yZgAkmGeeeUb2799vakmCgoJcFg16ChcubIIObR6yXL161TRBPUyJEiUkNDTULJYDBw7IlStXTA0NgMSHYAZAgunatatJ1G3btq0JWLRpadmyZfLmm2/K/fv3TTNQhw4dpF+/fqY5SgOfjh07SvLkyU1NSkyee+45KVOmjOkBpYnCW7Zskfbt20udOnWkYsWKXv8bAcQ/ghkACUYTebWnkgYuDRs2NEGIdrnW/BYNWNS4ceOkWrVq8uKLL5pApUaNGqb2JU2aNDHuU4OcX3/9VTJnziy1a9c2z9Eanrlz53r5rwPgLQyaB8BWIiIiJG/evPL555+bWhoAIAEYgE/buXOnHDp0yPRo0nyZ4cOHm/U6lgwAKIIZAD7vs88+k8OHD5vB9rRrtw6cpyMIA4CimQkAANgaCcAAAMDWCGYAAICtEcwAAABbI5gBAAC2RjADAABsjWAGAADYGsEMAACwNYIZAAAgdvb/AISBVf7XSJnXAAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -426,6 +424,14 @@
     "sns.barplot(data=df, x=\"region\", y=\"percentage_drivers_fatal_alcohol_impaired\", errorbar=\"sd\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "a4159a11-dde7-4756-949b-e12407d56af9",
+   "metadata": {},
+   "source": [
+    "This graph shows that the Midwest region has the highest percentage of drivers involved in fatal collisions who were alcohol-impaired in 2012"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "collectible-puppy",
@@ -467,7 +473,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 30,
    "id": "pursuant-surrey",
    "metadata": {},
    "outputs": [
@@ -478,12 +484,11 @@
        "Midwest       756.630833\n",
        "West          855.624545\n",
        "Southeast     905.472500\n",
-       "Northeast     975.038889\n",
-       "Northwest    1160.163333\n",
+       "Northeast    1021.320000\n",
        "Name: car_insurance_premiums, dtype: float64"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -500,7 +505,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 31,
    "id": "located-night",
    "metadata": {},
    "outputs": [
@@ -510,13 +515,13 @@
        "<Axes: xlabel='region', ylabel='car_insurance_premiums'>"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -531,10 +536,18 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8ab785a8-ac72-4fec-8d4b-7ad7f93de32d",
+   "id": "8e330a3f-3da7-4a1a-ab73-f7c528dfb809",
    "metadata": {},
    "source": [
-    "## Third Research Question: What region is the most unlucky state for fatal collisions?"
+    "The graph shows that the region with the highest premium car insurance is the Northwest "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e998c4c9-6d26-45fc-86f9-1362761c2b46",
+   "metadata": {},
+   "source": [
+    "## Third Research Question: What region is the most unlucky for fatal collisions? "
    ]
   },
   {
@@ -562,7 +575,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 32,
    "id": "096fe314-2953-4644-86e0-cd717f77eb8f",
    "metadata": {},
    "outputs": [
@@ -604,13 +617,8 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Northeast</th>\n",
-       "      <td>87.777778</td>\n",
-       "      <td>85.111111</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Northwest</th>\n",
-       "      <td>91.333333</td>\n",
-       "      <td>93.666667</td>\n",
+       "      <td>88.666667</td>\n",
+       "      <td>87.250000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Southeast</th>\n",
@@ -630,21 +638,19 @@
        "           percentage_drivers_fatal_not_distracted  \\\n",
        "region                                               \n",
        "Midwest                                  88.833333   \n",
-       "Northeast                                87.777778   \n",
-       "Northwest                                91.333333   \n",
+       "Northeast                                88.666667   \n",
        "Southeast                                83.000000   \n",
        "West                                     84.000000   \n",
        "\n",
        "           percentage_drivers_fatal_no_previous_accidents  \n",
        "region                                                     \n",
        "Midwest                                         86.666667  \n",
-       "Northeast                                       85.111111  \n",
-       "Northwest                                       93.666667  \n",
+       "Northeast                                       87.250000  \n",
        "Southeast                                       89.312500  \n",
        "West                                            91.727273  "
       ]
      },
-     "execution_count": 24,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -657,7 +663,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 33,
    "id": "3777e6d1-08a5-4747-9100-9af86f88e90a",
    "metadata": {},
    "outputs": [
@@ -667,13 +673,13 @@
        "<Axes: xlabel='region', ylabel='percentage_drivers_fatal_not_distracted'>"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -688,7 +694,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 34,
    "id": "21d5122b-9973-43f9-b4f0-7db7a6c936d9",
    "metadata": {},
    "outputs": [
@@ -698,13 +704,13 @@
        "<Axes: xlabel='region', ylabel='percentage_drivers_fatal_no_previous_accidents'>"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -717,12 +723,20 @@
     "sns.barplot(data=region_mean, x=\"region\", y=\"percentage_drivers_fatal_no_previous_accidents\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "8f0aafcf-d9d4-4840-be7f-6e84d97efbcf",
+   "metadata": {},
+   "source": [
+    "After looking at the two bar graphs about the percentage of drivers involved in fatal collisions who were not distracted and the percentage of drivers involved in fatal collisions who had not been involved in any previous accidents, it seems that the Midwest region has the highest percentage in Fatal Collisions Who Were Not Distracted and the West region had more drivers in Fatal Collisions Who Had Not Been Involved In Any Previous Accidents both categories."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "d66967db-fe78-4889-824e-f7bce4e02cc8",
    "metadata": {},
    "source": [
-    "## Fourth Research Question: Is there a connection between the average Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding and the region with the most expensive car insurance premiums?"
+    "## Fourth Research Question: Is there a connection between the average Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding and the Number of drivers involved in fatal collisions per billion miles?"
    ]
   },
   {
@@ -750,7 +764,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 35,
    "id": "b921b74c-951a-4f30-a42e-292f011fd61a",
    "metadata": {},
    "outputs": [
@@ -776,7 +790,7 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>percentage_drivers_fatal_speeding</th>\n",
-       "      <th>car_insurance_premiums</th>\n",
+       "      <th>number_drivers_fatal_billion_miles</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>region</th>\n",
@@ -788,56 +802,57 @@
        "    <tr>\n",
        "      <th>Midwest</th>\n",
        "      <td>27.166667</td>\n",
-       "      <td>756.630833</td>\n",
+       "      <td>15.558333</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Northeast</th>\n",
-       "      <td>32.444444</td>\n",
-       "      <td>975.038889</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Northwest</th>\n",
-       "      <td>39.333333</td>\n",
-       "      <td>1160.163333</td>\n",
+       "      <td>34.166667</td>\n",
+       "      <td>12.225000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Southeast</th>\n",
        "      <td>27.687500</td>\n",
-       "      <td>905.472500</td>\n",
+       "      <td>19.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>West</th>\n",
        "      <td>39.909091</td>\n",
-       "      <td>855.624545</td>\n",
+       "      <td>14.972727</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "           percentage_drivers_fatal_speeding  car_insurance_premiums\n",
-       "region                                                              \n",
-       "Midwest                            27.166667              756.630833\n",
-       "Northeast                          32.444444              975.038889\n",
-       "Northwest                          39.333333             1160.163333\n",
-       "Southeast                          27.687500              905.472500\n",
-       "West                               39.909091              855.624545"
+       "           percentage_drivers_fatal_speeding  \\\n",
+       "region                                         \n",
+       "Midwest                            27.166667   \n",
+       "Northeast                          34.166667   \n",
+       "Southeast                          27.687500   \n",
+       "West                               39.909091   \n",
+       "\n",
+       "           number_drivers_fatal_billion_miles  \n",
+       "region                                         \n",
+       "Midwest                             15.558333  \n",
+       "Northeast                           12.225000  \n",
+       "Southeast                           19.200000  \n",
+       "West                                14.972727  "
       ]
      },
-     "execution_count": 27,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "region = df.groupby(\"region\")\n",
-    "region_speed_insur = region[[\"percentage_drivers_fatal_speeding\", \"car_insurance_premiums\"]].mean().sort_values(\"region\")\n",
+    "region_speed_insur = region[[\"percentage_drivers_fatal_speeding\", \"number_drivers_fatal_billion_miles\"]].mean().sort_values(\"region\")\n",
     "region_speed_insur"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 36,
    "id": "c242ede2-9440-4d49-8967-e6dfce650ec1",
    "metadata": {},
    "outputs": [
@@ -847,13 +862,13 @@
        "<Axes: xlabel='region', ylabel='percentage_drivers_fatal_speeding'>"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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LJSwsTFasWCH169c36y9cuCDp0qXzdRkBAAB8G8y88847MnDgQDMKcKVKldzzM2ktTdmyZb3ZJQAAQNw1M/3jH/+QatWqydmzZ92D5ikdMK9Fixbu+6dPn5acOXOaJigAAADbBDNKk351iUh7NUVUvHhx2bNnjxQoUECcgLZo79EWDQDwl1itMnG5XLG5ewAAgNgNZgAAAGIbwQwAAHA0ghkAAOBosRrMBAQExObuAQAASAAGAAAJtGt2dBw8eNCMMwMAAOD3YEbnX4quxYsXm/8DAwO9KxUAAICvg5n06dNH96EAAAD2C2ZCQkJityQAAABeoGs2AABImAnACxculG+++UZCQ0Plzp07Htt27drli7IBAADETs3M1KlTpUuXLpItWzbZvXu3mWAyc+bMcuLECWnYsKE3uwQAAIi7YOaTTz6Rzz77TD7++GNJliyZvP3227Jq1Sp566235MqVK96VBAAAIK6CGW1aqlq1qrmdMmVKuXbtmrndsWNH+eqrr7zZJQAAQNwFM9mzZ5dLly6Z23ny5JGtW7ea2ydPnnyqUX+Dg4OlQoUKkjZtWsmaNas0b95cDh8+7PGYWrVqmWkRIi5vvvmmN8UGAADxkFfBTJ06deS7774ztzV3pl+/fvLCCy9I27ZtpUWLFtHez/r166Vnz54mGNJmqrt370r9+vXlxo0bHo/r1q2bnD171r2MGzfOm2IDAIB4yKveTJov8+DBA3NbgxFN/t28ebM0bdpU3njjjWjvZ/ny5R73Z8+ebWpodu7cKTVq1HCvT5UqlakNio7w8HCzWK5evRrt8gAAgARSM3P69GlJnDix+367du1MD6devXrJuXPnvC6MlTycKVMmj/VffvmlZMmSRUqUKCFDhw6VmzdvPrbpSkcrthamVAAAIH7zqmYmf/78prlHa1Ei0jwa3Xb//v2n3qfW9PTt21eef/55E7RYXn75ZcmbN6+ZsHLv3r0yePBgk1djzf/0MA12+vfv71EzQ0ADAED85VUwo0m+moj7sOvXr0uKFCm8Kog2V+3fv182btzosb579+7u2yVLlpQcOXJI3bp15fjx41KwYMFH9pM8eXKzAACAhOGpghmrxkMDmREjRphcFovWxmzbtk3KlCnz1IXQ5qnvv/9eNmzYILlz537sYytVqmT+P3bsWKTBDAAASFieKpjR0X6tmpl9+/aZAfMsert06dIycODAaO9P99O7d29ZsmSJrFu3zjRRPcmePXvM/1pDAwAA8FTBzNq1a93dsadMmSLp0qWL0R/XpqV58+bJt99+a8aasZKHNXFXB+PTpiTd3qhRI9NjSnNmtBu49nQqVapUjP42AABIwDkzISEhPvnj06dPdw+M9/D+X331VVPbs3r1apk8ebIZe0YTeVu1aiXDhw/3yd8HAAAJeNbsHTt2RDlrdlQ9jR72pNGCNXjRgfUAAAB8Os7M/PnzzdxMhw4dMvkuOnLvgQMH5KeffjJNRAAAALYOZsaMGSOTJk2SZcuWmaYgzZ/57bffpE2bNmauJgAAAFsHM5qY27hxY3NbgxnNZ9Hu2pqcq1MdAAAA2DqYyZgxo1y7ds3czpUrlxnsTl2+fPmxUw0AAADYIgFYu0brLNc6Im/r1q2lT58+Jl9G1+novAAAALYOZv7973/L7du3ze1hw4ZJ0qRJzazZdJsGAAC2DWZ0KoNRo0ZJ6tSpTbOS9mZSiRIlkiFDhsRmGQEAAGKeM/Pxxx+biSRV7dq1zQzZAAAAjqmZyZcvn0ydOlXq169vBrvbsmWLSQSOKqcGAADAVsHM+PHj5c0335Tg4GDTDbtFixaRPk636QzaAAAAtgpmmjdvbhZtatIJJg8fPixZs2aN3dIBAAD4epyZNGnSmNmz8+fPb6YuiGyxjB071ow9AwAAYKtB82rWrClJkiSJ1rQHJAoDAADbBTPR9aRZsQEAAGwdzAAAAMQ2ghkAAOBoBDMAAMDRCGYAAICjxWowU716dUmZMmVs/gkAAJDAeRXM7Nq1S/bt2+e+/+2335oB9f71r3/JnTt33Ot/+OEHyZEjh29KCgAA4Ktg5o033pAjR46Y2ydOnJB27dpJqlSpZMGCBfL22297s0sAAIC4C2Y0kClTpoy5rQGMTiw5b948mT17tixatMi7kgAAAMRVMKOD4T148MDcXr16tTRq1MjcDgwMlL/++subXQIAAMRdMFO+fHkZPXq0fP7557J+/Xpp3LixWX/y5EnJli2br8sIAADg22Bm8uTJJgm4V69eMmzYMClUqJBZv3DhQqlatao3uwQAAPDKk2eLfMj9+/fNTNgbNmyQjBkzemwbP368JE6c2LuSAAAAxEXNjAYr9evXNwHNw1KkSCFJkyb1phwAAABx18xUokQJ0yUbAADAkcGMJv8OHDhQvv/+ezl79qxcvXrVYwEAALBtzoyyumI3bdpUAgICPLps633NqwEAALBtMLN27VrflwQAACCugpmaNWt68zQAAAD7zJr9888/yyuvvGLGlTlz5oxZp4Pobdy40ZflAwAA8H0wo/MvNWjQQFKmTGkGzwsPDzfrr1y5ImPGjIn2foKDg6VChQqSNm1ayZo1q5l5+/Dhwx6PuX37tvTs2VMyZ84sadKkkVatWsn58+e9KTYAAIiHvO7N9Omnn8qMGTM8xpV5/vnnTXATXToVggYqW7dulVWrVsndu3fNGDY3btxwP6Zfv36ybNkyM6GlPv6PP/6Qli1belNsAAAQD3mVM6O1JzpT9sPSp08f6WB6UVm+fLnHfZ11W2todu7cafavNT0zZ840M3LXqVPHPCYkJESKFStmAqDKlSs/sk+tJbJqihRdxQEAiN+8qpnJnj27HDt27JH1mi9ToEABrwujwYvKlCmT+V+DGq2tqVevnvsxRYsWlTx58siWLVuibLrSoMpadCZvAAAQf3kVzHTr1k369Okj27ZtM+PKaNPPl19+aQbS69Gjh1cFefDggfTt29c0VekIw+rcuXOSLFkyyZAhg8djdWZu3RaZoUOHmqDIWsLCwrwqDwAAiMfNTEOGDDHBR926deXmzZumSSh58uQmmOndu7dXBdHcmf3798e4N5SWQxcAAJAweBXMaG3MsGHDZNCgQaa56fr161K8eHHT28gbvXr1MlMj6EzcuXPn9mjOunPnjsnDiVg7o72ZdBsAAIBXzUxffPGFqZHRJiANYipWrOhVIKPTH2ggs2TJEvnpp58kf/78HtuDgoJMb6k1a9Z4JB+HhoZKlSpVvCk6AACIZ7wKZrS7tPY6evnll+WHH37wei4mbVrSwEh7K+lYM5oHo8utW7fMdk3g7dq1q/Tv399MoaAJwV26dDGBTGQ9mQAAQMLjVTCjM2XPnz/fNDe1adNGcuTIYQKTzZs3P9V+pk+fbpJ0a9WqZfZhLV9//bX7MZMmTZKXXnrJDJanuTnavLR48WJvig0AAOIhr3JmkiRJYgIMXbS5SZuJtHaldu3aJufl+PHj0W5mepIUKVLItGnTzAIAAOCTYCaiVKlSmakN/v77bzl16pQcOnQoprsEAACI/YkmtUZGx5Zp1KiR5MqVSyZPniwtWrSQAwcOeLtLAACAuKmZadeunelKrbUymjMzYsQIehcBAADnBDOJEyeWb775xjQv6W0AAABHBTPavAQAAOCoYGbq1KnSvXt307tIbz/OW2+95YuyAQAA+C6Y0fFeOnToYIKZiRMnmjFmIqPrCWYAAIDtgpmTJ0+6b//++++xVR4AAIDY7Zp99+5dKViwIOPJAAAAZwYzOvHj7du3Y6c0AAAAcTFons7D9OGHH8q9e/e8eToAAIB/u2Zv375d1qxZIytXrpSSJUtK6tSpPbYzESQAALB1MJMhQwYzizUAAIAjg5mQkBDflwQAACAuJ5oEAABwVM1M2bJloxwo72G7du2KSZkAAAB8H8w0b97cfVu7Zn/yySdSvHhx92zZW7dulQMHDsg///nP6P91AACAuApm3n33Xfft119/3UxZMGrUqEceExYWFtMyAQAAxG7OzIIFC6RTp06PrH/llVdk0aJF3uwSAAAg7oKZlClTyqZNmx5Zr+t0IkoAAABbd83u27ev9OjRwyT6VqxY0azbtm2bzJo1S0aMGOHrMgIAAPg2mBkyZIgUKFBApkyZIl988YVZV6xYMTP+TJs2bbzZJQAAQNwFM0qDlicFLl999ZU0bdr0kekOAAAAHDFo3htvvCHnz5+PzT8BAAASuFgNZlwuV2zuHgAAgOkMAACAsxHMAAAARyOYAQAAjkYwAwAAHC1Wg5m8efNK0qRJY/NPAACABM7rYOby5cvy3//+V4YOHSqXLl0y63RE4DNnzrgfs3//fgkMDPRNSQEAAHw1aN7evXulXr16kj59evn999+lW7dukilTJlm8eLGEhobK3LlzvdktAABA3NTM9O/fX1599VU5evSox8SSjRo1kg0bNnizSwAAgLgLZrZv325G931Yrly55Ny5c9HejwY+TZo0kZw5c0pAQIAsXbrUY7sGTLo+4vLiiy96U2QAABBPeRXMJE+eXK5evfrI+iNHjsgzzzwT7f3cuHFDSpcuLdOmTYvyMRq8nD171r3ofE8AAAAxypnRySNHjhwp33zzjbmvNSaaKzN48GBp1apVtPfTsGFDszwpcMqePXu09xkeHm4WS2RBFwAASOA1MxMmTJDr169L1qxZ5datW1KzZk0pVKiQpE2bVj744AOfFnDdunXm7xQpUkR69OghFy9efOzjg4ODTWKytdCbCgCA+M2rmhkNElatWiUbN240PZs0sClXrpzp4eRL2sTUsmVLyZ8/vxw/flz+9a9/mZqcLVu2SOLEiSN9jnYV1wTliDUzBDQAAMRfXgUzlmrVqpkltrRr1859u2TJklKqVCkpWLCgqa2pW7dulM1SugAAgITBq2Bm6tSpka7X3Bntqq1NTjVq1Iiy9sRbBQoUkCxZssixY8eiDGYAAEDC4lUwM2nSJPnzzz/l5s2bkjFjRrPu77//llSpUkmaNGnkwoULJvBYu3atT5t4Tp8+bXJmcuTI4bN9AgCABJgAPGbMGKlQoYIZNE+DC120W3alSpVkypQppmeT9kDq16/fY/ejuTZ79uwxizp58qS5rc/XbYMGDZKtW7eaUYbXrFkjzZo1M7U+DRo08O7VAgCAeMermpnhw4fLokWLTP6KRYOMjz76yHTNPnHihIwbN+6J3bR37NghtWvXdt+3Enc7d+4s06dPN8nFc+bMMfNA6cB69evXl1GjRpETAwAAYhbM6OB19+7de2S9rrNGANbg49q1a4/dT61atcTlckW5fcWKFd4UDwAAJCBeNTNpbYpOZ7B79273Or2t48DUqVPH3N+3b5/pUg0AAGC7YGbmzJlmluygoCB3V+jy5cubdbpNaSKwDq4HAABgu2YmTe7VQfN+++03k/irdIReXSwRc2EAAABsOWhe0aJFzQIAAOC4YEbHfPnuu+9MN+o7d+54bJs4caIvygYAABA7wYyO+aIzZ+vAeNrUVKJECTMWjPZM0jmaAAAAbJ0ArJM5Dhw40PRY0ukLdMyZsLAwM3t269atfV9KAAAAXwYzhw4dkk6dOpnbSZIkkVu3bpneSyNHjpQPP/zQm10CAADEXTCTOnVqd56MzpN0/Phx97a//vrLu5IAAADEVc5M5cqVZePGjVKsWDFp1KiRDBgwwDQ5LV682GwDAACwdTCjvZV0Ikj1/vvvm9tff/21FC5cmJ5MAADA/sGM9mKK2OT06aef+rJMAAAAsZszo8HMxYsXH1mvs1tHDHQAAABsGczomDL3799/ZH14eLicOXPGF+UCAADwfTOTjvhrWbFihaRPn959X4MbHUwvX758T7NLAACAuAtmmjdvbv4PCAiQzp07e2xLmjSpCWSYKRsAANg2mHnw4IH5P3/+/LJ9+3bJkiVLbJULAAAg9noznTx50punAQAA2GfWbM2P0eXChQvuGhvLrFmzfFE2AACA2AlmdKA8nYepfPnyZjoDzaEBAABwTDCjg+TNnj1bOnbs6PsSAQAAxPY4MzrJZNWqVb15KgAAgP+Dmddff13mzZvn25IAAADEVTPT7du35bPPPpPVq1dLqVKlzBgzETHZJAAAsHUws3fvXilTpoy5vX//fo9tJAMDAADbBzNr1671fUkAAADiKmfGcuzYMTNH061bt8x9l8sVk90BAADETTBz8eJFqVu3rjz77LPSqFEjOXv2rFnftWtXGTBggDe7BAAAiLtgpl+/fibpNzQ0VFKlSuVe37ZtW1m+fLl3JQEAAIirnJmVK1ea5qXcuXN7rC9cuLCcOnXKm10CAADEXc3MjRs3PGpkLJcuXZLkyZN7VxIAAIC4CmaqV68uc+fO9eiOrZNNjhs3TmrXru3NLgEAAOKumUmDFk0A3rFjh5na4O2335YDBw6YmplNmzZ5VxIAAIC4qpkpUaKEHDlyRKpVqybNmjUzzU4tW7aU3bt3S8GCBaO9nw0bNkiTJk0kZ86cpnZn6dKlHtu1q/c777xjZuZOmTKl1KtXT44ePepNkQEAQDzlVc2MSp8+vQwbNixGf1yDoNKlS8trr71mgqHIaoCmTp0qc+bMkfz588uIESOkQYMGcvDgQUmRIkWM/jYAAEjAwUxISIikSZNGWrdu7bF+wYIFcvPmTencuXO09tOwYUOzREZrZSZPnizDhw83tT9K83SyZctmanDatWvnTdEBAEA841UzU3BwsGTJkuWR9VmzZpUxY8b4olxy8uRJOXfunGlailgbVKlSJdmyZUuUzwsPD5erV696LAAAIP7yKpjRwfK02edhefPmNdt8QQMZpTUxEel9a1tUgZYGPdYSGBjok/IAAIB4FMxoDYzOnP2wX3/9VTJnziz+NHToULly5Yp7CQsL82t5AACADYOZ9u3by1tvvWVmz75//75ZfvrpJ+nTp4/PclmyZ89u/j9//rzHer1vbYuMDtqXLl06jwUAAMRfXgUzo0aNMrkrOtaMdpnWpX79+lKnTh2f5cxoM5YGLWvWrHGv0/yXbdu2SZUqVXzyNwAAQALszaS9jDRnZfbs2TJ69GjZs2ePCWZKlixpcmaexvXr1+XYsWMeSb+6v0yZMkmePHmkb9++5m/onE9W12wdk6Z58+ZPW2wAABBPeRXMFCpUyIz4q0GGLt7SEYQjTn/Qv39/87927dZgSUcW1rFounfvLpcvXzaD9Oms3IwxAwAAvA5mEiVKZAKYixcvxiiQUbVq1TLBUVR0VOCRI0eaBQAAwGc5M2PHjpVBgwbJ/v37vXk6AACAf0cA7tSpkxnpV6ciSJYsmcmZiUgnnAQAALBtMKPTDAAAADg2mInu3EsAAAC2zJlRx48fN5NA6gB6Fy5cMOt+/PFH08sJAADA1sHM+vXrzbgyOoDd4sWLzXgx1nQG7777rq/LCAAA4NtgZsiQIWYwu1WrVpkEYIuOALx161ZvdgkAABB3wcy+ffukRYsWkU5A+ddff3lXEgAAgLgKZjJkyCBnz559ZP3u3bslV65c3uwSAAAg7oIZnRl78ODBZo4mHaX3wYMHsmnTJhk4cKAZgwYAAMDWwYzOjF20aFEJDAw0yb/FixeX6tWrS9WqVU0PJwAAAFuPM6NJvzNmzJB33nnH5M/oZJBly5Y1E1ACAADYPphRM2fOlEmTJsnRo0fNfZ10sm/fvvL666/7snwAAAC+D2a0RmbixInSu3dvqVKlilm3ZcsW6devn4SGhjLLNQAAsHcwM336dNPMpKP/Wpo2bSqlSpUyAQ7BDAAAsHUC8N27d6V8+fKPrA8KCpJ79+75olwAAACxF8x07NjR1M487LPPPpMOHTp4s0sAAIC4TwBeuXKlVK5c2dzXeZo0X0bHmenfv7/7cZpbAwAAYKtgZv/+/VKuXDn37NkqS5YsZtFtFh1QDwAAwHbBzNq1a31fEgAAgLjKmQEAALALghkAAOBoBDMAAMDRCGYAAICjEcwAAABHI5gBAACORjADAAAcjWAGAAA4GsEMAABwNIIZAADgaAQzAADA0QhmAACAoxHMAAAAR7N9MPPee+9JQECAx1K0aFF/FwsAANhEEnGA5557TlavXu2+nySJI4oNAADigCOiAg1esmfP7u9iAAAAG7J9M5M6evSo5MyZUwoUKCAdOnSQ0NDQKB8bHh4uV69e9VgAAED8ZftgplKlSjJ79mxZvny5TJ8+XU6ePCnVq1eXa9euRfr44OBgSZ8+vXsJDAyM8zIDAIC4Y/tgpmHDhtK6dWspVaqUNGjQQH744Qe5fPmyfPPNN5E+fujQoXLlyhX3EhYWFudlBgAAcccROTMRZciQQZ599lk5duxYpNuTJ09uFgAAkDDYvmbmYdevX5fjx49Ljhw5/F0UAABgA7YPZgYOHCjr16+X33//XTZv3iwtWrSQxIkTS/v27f1dNAAAYAO2b2Y6ffq0CVwuXrwozzzzjFSrVk22bt1qbgMAANg+mJk/f76/iwAAAGzM9s1MAAAAj0MwAwAAHI1gBgAAOBrBDAAAcDSCGQAA4GgEMwAAwNEIZgAAgKMRzAAAAEcjmAEAAI5GMAMAAByNYAYAADgawQwAAHA0ghkAAOBoBDMAAMDRCGYAAICjEcwAAABHI5gBAACORjADAAAcjWAGAAA4GsEMAABwNIIZAADgaAQzAADA0QhmAACAoxHMAAAARyOYAQAAjkYwAwAAHI1gBgAAOBrBDAAAcDSCGQAA4GgEMwAAwNEIZgAAgKMRzAAAAEcjmAEAAI7miGBm2rRpki9fPkmRIoVUqlRJfvnlF38XCQAA2ITtg5mvv/5a+vfvL++++67s2rVLSpcuLQ0aNJALFy74u2gAAMAGbB/MTJw4Ubp16yZdunSR4sWLy6effiqpUqWSWbNm+btoAADABpL4uwCPc+fOHdm5c6cMHTrUvS5RokRSr1492bJlS6TPCQ8PN4vlypUr5v+rV68+8e/dD7/lk3InRNF5f58Gx8I+x4NjETOcG/bBsXDWsbAe43K5nrxDl42dOXNGX4Fr8+bNHusHDRrkqlixYqTPeffdd81zWFhYWFhYWMTxS1hY2BPjBVvXzHhDa3E0x8by4MEDuXTpkmTOnFkCAgLEqTRCDQwMlLCwMEmXLp2/i5OgcSzsg2NhHxwL+7gaT46F1shcu3ZNcubM+cTH2jqYyZIliyROnFjOnz/vsV7vZ8+ePdLnJE+e3CwRZciQQeIL/WA6+cMZn3As7INjYR8cC/tIFw+ORfr06Z2fAJwsWTIJCgqSNWvWeNS06P0qVar4tWwAAMAebF0zo7TJqHPnzlK+fHmpWLGiTJ48WW7cuGF6NwEAANg+mGnbtq38+eef8s4778i5c+ekTJkysnz5csmWLZskJNp0pmPtPNyEhrjHsbAPjoV9cCzsI3kCPBYBmgXs70IAAAB4y9Y5MwAAAE9CMAMAAByNYAYAADgawUwcqVWrlvTt2/exj9GZwbW3Fuzn1VdflebNm/u7GAkex8F+1q1bZwYkvXz5sr+LggSMYCaGF1Y9id98881HtvXs2dNs08eoxYsXy6hRo8SutKxLly4VJ73vY8eO9Viv5Y/pKM+///672ceePXvEbuz2RZ5Qj4Ndf4Bor88ePXpInjx5TC8WHVi0QYMGsmnTpjj9UeYP8TGg0kmV06ZNK/fu3XOvu379uiRNmtQch8he//Hjx+P9ORcVgpkY0iGj58+fL7du/f8Jx27fvi3z5s0zFxVLpkyZzAcTvpEiRQr58MMP5e+///bpxKZ4OhwH+2jVqpXs3r1b5syZI0eOHJHvvvvOfOldvHjR30WDF2rXrm2Clx07drjX/fzzzyZI3bZtm/mesaxdu9Z83xQsWFASKoKZGCpXrpwJaLTmxaK39YNVtmzZKH/RXLhwQZo0aSIpU6aU/Pnzy5dffumx34EDB8pLL73kvq+//jRq1jF2LIUKFZL//ve/7vt6u1ixYuYLpmjRovLJJ594fEH06tVLcuTIYbbnzZtXgoOD3b8uVYsWLczfsO7bmc6crie19Rois2jRInnuuefMr1R9TRMmTPDYruu0tqxTp05myO/u3bubY6H02Ol78fAvoI8++si8hzrXl9a+3b17171NZ2vX45YrVy5JnTq1VKpUyfxisuiXSvv27c32VKlSScmSJeWrr77y2P/ChQvNev1c6N/Q16mDRL733nvmS+rbb7815dIl4r79xW7H4d///reUKFHikVoi/ZUbsczDhw9339f3VM9jPS8KFCgg77//vvvXsI5coe+9Vduhc8S89dZbZpuW6dSpU9KvXz/3MfEXrZHQLzoNLPVLUM9vHWRU56pr2rSpeUxoaKg0a9ZM0qRJY97nNm3aeEwVE1nNn16zrPdet69fv16mTJnifr36a96yc+dOM7ipfrarVq0qhw8f9tjX495nNXHiRPPZ13NHr6n//Oc/zZe5Rd9rvWZmzJjRPEY/Uz/88IMpg75mpdsi1og7WZEiRcxnPOJ5rrf1GOr5sXXrVo/1tWvXNiPk67mo2/UaUrp0aXNNseiPjg4dOsgzzzxjthcuXFhCQkLMtiedc7bnqxmuE6LOnTu7mjVr5po4caKrbt267vV6e9KkSWabPkbVrFnT1adPH/djGjZs6CpdurRry5Ytrh07driqVq3qSpkypXme+u6771zp06d33bt3z9xv3ry5K0uWLK7Bgweb+6dPnzaziR49etTc/+KLL1w5cuRwLVq0yHXixAnzf6ZMmVyzZ88228ePH+8KDAx0bdiwwfX777+7fv75Z9e8efPMtgsXLph9hYSEuM6ePWvuO+F9X7x4sStFihTuGVWXLFliXofS9zRRokSukSNHug4fPmxem76/+r8lb968rnTp0rk++ugj17Fjx8zyyy+/mH2sXr3avBcXL150/0197Jtvvuk6dOiQa9myZa5UqVK5PvvsM/f+Xn/9dXMc9T3Wfel7njx5cteRI0fcx0zX7d6923X8+HHX1KlTXYkTJ3Zt27bNbP/jjz9cSZIkMZ+nkydPuvbu3euaNm2a69q1a2Zp06aN68UXXzTl0iU8PNzlT3Y8DvqeBQQEuD/Dffv2NedN27Ztzf07d+6Yx69atcrc12Ol+9PzRI/JypUrXfny5XO99957ZvuCBQvM9h9++MF16tQpc6ysv6Vlyp07t3lt1jHxl7t377rSpEljXu/t27cf2X7//n1XmTJlXNWqVTPHZOvWra6goCBzXXr4eEak1yzrMZcvX3ZVqVLF1a1bN/fr1evT2rVrzbGqVKmSa926da4DBw64qlevbs4Fy5PeZ6XXvp9++sl89tesWeMqUqSIq0ePHu7tjRs3dr3wwgvmGOs+9NivX7/elEGvd1oG/YxpubSs8cHLL7/sql+/vvt+hQoVzGdSP//vvPOOWXfz5k1zndH3dvTo0a6iRYu6li9fbt4jPc90mx4X1bNnT/M52L59u3mf9TzQ7xoV1TnnFAQzMWCd/Hrh1A+MBgm66IX9zz//jDKY0RNOPzT64bHohVnXWcHM33//bb4E9EP34MEDE5gEBwebC4YVvOTKlcv9/IIFC7qDE8uoUaPMxUf17t3bVadOHbOvyOjf1i8hJ4h40a1cubLrtddee+RLVC8CeuGLaNCgQa7ixYt7fIlqkBiRnuC6Dw04Hv6b+ngruFStW7d2f0nqF50GJmfOnPF4nga2Q4cOjfK16AV6wIAB5vbOnTvN39bP0JNetx3Y8Tjo5ztz5szmgq/0wq3nTfbs2c39jRs3upImTeq6ceOG+/iMGTPG4298/vnn5oeBmjBhguvZZ581QVBktCzWOetvCxcudGXMmNFcfzSQ0M/dr7/+arZp8KCfz9DQUPfjNeiIeB16UjAT2Y8yZQUz+iVo+d///mfW3bp1K1rvc2T0GOqxtJQsWdIj+ImsDHrdjE9mzJjhSp06tQlWr169an7s6PeNXutr1KhhHqOBn/y/64YG6ps3b/bYR9euXV3t27c3t5s0aeLq0qVLpH8rqnPOKWhm8gGtsmvcuLHMnj3bVNnpbZ3xOyqHDh2SJEmSmEk0LdosFHF2b72tVYRafbhv3z4z6aZWv2ubuFa9anVvzZo1zWO1GUITv7p27WqqkK1l9OjR7oQwrXbVxC6tutRq8pUrV0p8oNXq2vyi72lEev/555/3WKf3jx49Kvfv33ev02rx6NJqbZ3F3aJVwNpcqPQY6X6fffZZj2Ogx8k6Brpdm1O0Kl1zqHT7ihUrTPW/0uNdt25ds71169YyY8YMn+aiJITjoNXjNWrUMOeNNr0cPHjQNFdoE+Bvv/1mjkeFChVMU4j69ddfZeTIkR7HrFu3bnL27Fm5efOmOQ6aD6fNIrp+yZIlHk0jdsuZ+eOPP0yuzIsvvmjeA23W0euSHgdtutHFUrx4cXOdefiYeatUqVIex0RZx+VJ77NavXq1+fxrM6zmF3bs2NE0zVrb9bql1zT9/OhQ/Xv37pX4Tpt69Pq+fft204yo1xf9vtFrv5U3o8e5QIEC5ntB36sXXnjB432eO3eu+xqkCeKa46nTAr399tuyefNmiS8IZnzktddeMxcNvaDrbV99kPWDagUu+gWoOTEbN270CGasdmX98tOAxVr279/vblfVi9rJkyfNl6lenLW9/B//+Ic4nX5xaY8NzQ3whra9R5f2IohIvzi1jdo6BvoFq3kDEY+BflFojoEaP368uT148GCTsKfbtexWwqs+f9WqVfLjjz+aL5qPP/7YBJ963OzOLsch4nmjF39t/9f8ECvAiXjeWMdNczciHjMNTDXY0twO/fLX3A/NP9McAw2MdF8Rc6XsRMusX2YjRowwX1T6I0a/+KMjUaJEJkcooqd5nRGPi5U/FPH8eNz7rHkvmiOoAZHmWOl5NG3aNPNc6/x4/fXX5cSJEybI0edqAKznSHymeZG5c+c21wtdrM+u5m7pZ1OPsa6vU6eO+3vgf//7n8f7rAG9lTfTsGFDd56XBr4aPGqeX3xg+4kmnUJ/CelJpyexXtQfR2th9NednrD6K1HpBfPhboX6wZ01a5apxdH9WxdqTRrV3gpWgpZOuqkfbj3RNbkrKnpR14k7ddFARvd56dIlEyTphSjiL2Un0a7B+ktDv/gtGvQ93CVV7+svm4i/6h+mNWDqad8L/dLU5+gv0erVq0f6GP37mrz3yiuvuC/0ehw1cLHo50d/eeqik6tqIqfWBujs8Vo2Ox8jOxwH67zRxNUFCxa4zxH9X3/5698eMGCA+7Ea5Ou5p18aUdEgRhNPddFkYz1/9ctUn2v3Y6KfLU2C1uMQFhZmFqt2Rr/k9Jpjff70F7/+AIpIvwwjBinevt4nvc96LdTzQZPDNahS33zzzSOP07LrUBi6aOCsP+B69+4do8+L3WlirwbiWks7aNAg93oNqvWHzy+//GJqXPQ4apK61vRGDNgfpse5c+fOZtFrle5TE+qd/h4SzPiIXpit6trHXaSVXuw1kHjjjTdk+vTpJljRi69eNCPSD+u1a9fk+++/d4/loRdlDUS0Gle/ECz6q0erYdOnT2/2rdXq2qVPTwD9ItSeAvoc/dLVi4Ve6LUXitW0pT1K1qxZY75E9YTQXgFOoc0yGsRNnTrVvU6/sDRQ1JooDd62bNlierpE7OEVmaxZs5rjoL3G9BeR/mrU9/RJ9FhoGbRHjl6Q9X3WcT/0PdVfm9r0qD0H9BeS/prS91ePifYmsb5MtNpYH1+/fn1TDr2v+9AvIusYabOUfiloLx4t18O1FAn9OCh9v/X91eER9Nyxzhv9BWoFixYNGLVGQHsr6Xml54Y2ieiXujZpaG2rXty1Z5o2TX3xxRemXBpkWsdkw4YN0q5dO3PePK55OTZpc4w2iWmtsL5+babR83/cuHEmgNYeXNbx0Z6R+mNKa5n0S89q4tNf91p7qM0SVapUMa9V34eIvTL19ernUmtStAlDfwhFx5PeZw1ytBZIa1o0aNSgM2IPNKXXSK1Z0HNNr2taI2GdG3o89Njq8W7UqJE5Rlq++BLMWD32IgYpelt7qOqP6Nq1a5tjrp9xrXXRwLBatWpy5coV817qD1kNXvQ4aHqDNtXqd4S+X9Z7GJNzzhb8nbTjZE9KyHxcbybNFtfkT00czpMnj2vu3LmRJhNqjycreVFphrn21mjXrt0jf+/LL780CY/JkiUziYCaIKY9TZT2wNBtmkymvQo0IW/Xrl3u52pGe6FChUyCmZbDae+7Jq/p6474kdaESE001YRPfY+1J1F0kjc16U57fmkCtpX8GJ3kSE0S1R4G2ktD/6YmN7Zo0cL0vrCOne5De51kzZrVNXz4cFenTp3c+z148KCrQYMGrmeeecZ8LjTx9OOPP3bvXxP/NJlWn6+vU5Me/cmux0HpY/SzrL3ArN48ek5oovLDtOeH1ZtQz42KFSu6eyxpMrMm3et6PXf0+RETXbU3YqlSpczx8uflVHswDRkyxFWuXDnTC1ITQbU3kH7GtLeLlaTetGlT8zrSpk1rEqfPnTvnsR/9/GbLls3so1+/fq5evXp5vLfaeUHfA32v9PXq8Y4s+VaTSK3t0Xmflfbi03NGt+t5oNfEiPvVsmhHB32v9Rzp2LGj66+//nI/X3uV6bVSr4/WdTc+sBJztZdSRJrwq+v1OFs0AX7y5MlmnZ5v+j7pe6m9vqxOIcWKFTPvsXYq0fNEe78+7pxzigD9x98BFQAAgLdIAAYAAI5GMAMAAByNYAYAADgawQwAAHA0ghkAAOBoBDMAAMDRCGYAAICjEcwAAABHI5gB4Hg6zL4O0w8gYWIEYACOp3NY6czbOn8SgISHYAaA3+gkedZsvQDgLZqZAMQZnb1aZ/rVGZB1hukGDRqYmZN1NmSd5ThbtmzSsWNH+euvv9zP0ZnjdbZnrXnRmd8nTZpk9qP7iKqZKTQ01MwWrfvUGYPbtGljZii3vPfee1KmTBn5/PPPzXN1dmCd+Vr/FgDnIZgBEKfmzJljamM2bdokY8eOlTp16kjZsmVlx44dsnz5chN0aPBh6d+/v3nsd999J6tWrZKff/5Zdu3aFeX+Hzx4YAKZS5cuyfr1681zTpw4IW3btvV43PHjx2Xp0qXy/fffm0Ufq+UB4DxJ/F0AAAlL4cKFZdy4ceb26NGjTSAzZswY9/ZZs2ZJYGCgHDlyxNTEaPAzb948qVu3rtkeEhIiOXPmjHL/a9askX379snJkyfNftTcuXPlueeek+3bt0uFChXcQc/s2bMlbdq05r7WCOlzP/jgg1h9/QB8j2AGQJwKCgpy3/71119l7dq1pjnoYVpzcuvWLbl7965UrFjRvV6bhIoUKRLl/g8dOmSCGCuQUcWLF5cMGTKYbVYwo81LViCjNHC6cOGCT14jgLhFMAMgTmnui+X69evSpEkT+fDDDx95nAYXx44di7VyJE2a1ON+QECAqa0B4DzkzADwm3LlysmBAwdMLUmhQoU8Fg16ChQoYIIObR6yXLlyxTRBRaVYsWISFhZmFsvBgwfl8uXLpoYGQPxDMAPAb3r27GkSddu3b28CFm1aWrFihXTp0kXu379vmoE6d+4sgwYNMs1RGvh07dpVEiVKZGpSIlOvXj0pWbKk6QGlicK//PKLdOrUSWrWrCnly5eP89cIIPYRzADwG03k1Z5KGrjUr1/fBCHa5VrzWzRgURMnTpQqVarISy+9ZAKV559/3tS+pEiRItJ9apDz7bffSsaMGaVGjRrmOVrD8/XXX8fxqwMQVxg0D4Cj3LhxQ3LlyiUTJkwwtTQAQAIwAFvbvXu3/Pbbb6ZHk+bLjBw50qzXsWQAQBHMALC9jz76SA4fPmwG29Ou3Tpwno4gDACKZiYAAOBoJAADAABHI5gBAACORjADAAAcjWAGAAA4GsEMAABwNIIZAADgaAQzAADA0QhmAACAONn/AU9oTfNBhvvXAAAAAElFTkSuQmCC",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -868,23 +883,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 37,
    "id": "c8079c91-3eb2-4dfd-88c0-53f8a81c9892",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<Axes: xlabel='region', ylabel='car_insurance_premiums'>"
+       "<Axes: xlabel='region', ylabel='number_drivers_fatal_billion_miles'>"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -894,7 +909,15 @@
     }
    ],
    "source": [
-    "sns.barplot(data=region_speed_insur, x=\"region\", y=\"car_insurance_premiums\")"
+    "sns.barplot(data=region_speed_insur, x=\"region\", y=\"number_drivers_fatal_billion_miles\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "98b34885-aa61-4950-a951-6fb131fc2b99",
+   "metadata": {},
+   "source": [
+    "Comparing these two plots, it seems that there is no connection between the average Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding and the Number of drivers involved in fatal collisions per billion miles. What we did learn is that the West region has the highest speeding-related fatal collisions, and the Southeast has the highest number of fatal collisions per billion miles."
    ]
   },
   {
@@ -924,10 +947,12 @@
     "Consider the following:*\n",
     "\n",
     "- *Do the results give an accurate depiction of your research question? Why or why not?*\n",
-    "- *What were limitations of your datset?*\n",
+    "- *What were the limitations of your dataset?*\n",
     "- *Are there any known biases in the data?*\n",
     "\n",
-    "✏️ *Write your answer below:*"
+    "✏️ *Write your answer below:*\n",
+    "\n",
+    "I believe that the results do give an accurate depiction of my research question because it takes 6 different causes of fatal collisions and averages them between the 5 regions of the USA. The limitations of the dataset are that it isn't up to date. The data was collected between 2009 and 2012, and some of the collisions are from different years in that time frame. Some biases that could be in this data are how they determined if someone was Alcohol-Impaired, the weather in each region, the maintenance of the roads, and the population."
    ]
   },
   {
@@ -938,6 +963,146 @@
     "## Summary"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "dc9fd133-418b-4f32-b1f6-0efd3578051b",
+   "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>number_drivers_fatal_billion_miles</th>\n",
+       "      <th>percentage_drivers_fatal_speeding</th>\n",
+       "      <th>percentage_drivers_fatal_alcohol_impaired</th>\n",
+       "      <th>percentage_drivers_fatal_not_distracted</th>\n",
+       "      <th>percentage_drivers_fatal_no_previous_accidents</th>\n",
+       "      <th>car_insurance_premiums</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>region</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Midwest</th>\n",
+       "      <td>15.558333</td>\n",
+       "      <td>27.166667</td>\n",
+       "      <td>31.666667</td>\n",
+       "      <td>88.833333</td>\n",
+       "      <td>86.666667</td>\n",
+       "      <td>756.630833</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Northeast</th>\n",
+       "      <td>12.225000</td>\n",
+       "      <td>34.166667</td>\n",
+       "      <td>31.333333</td>\n",
+       "      <td>88.666667</td>\n",
+       "      <td>87.250000</td>\n",
+       "      <td>1021.320000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Southeast</th>\n",
+       "      <td>19.200000</td>\n",
+       "      <td>27.687500</td>\n",
+       "      <td>29.687500</td>\n",
+       "      <td>83.000000</td>\n",
+       "      <td>89.312500</td>\n",
+       "      <td>905.472500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>West</th>\n",
+       "      <td>14.972727</td>\n",
+       "      <td>39.909091</td>\n",
+       "      <td>30.363636</td>\n",
+       "      <td>84.000000</td>\n",
+       "      <td>91.727273</td>\n",
+       "      <td>855.624545</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           number_drivers_fatal_billion_miles  \\\n",
+       "region                                          \n",
+       "Midwest                             15.558333   \n",
+       "Northeast                           12.225000   \n",
+       "Southeast                           19.200000   \n",
+       "West                                14.972727   \n",
+       "\n",
+       "           percentage_drivers_fatal_speeding  \\\n",
+       "region                                         \n",
+       "Midwest                            27.166667   \n",
+       "Northeast                          34.166667   \n",
+       "Southeast                          27.687500   \n",
+       "West                               39.909091   \n",
+       "\n",
+       "           percentage_drivers_fatal_alcohol_impaired  \\\n",
+       "region                                                 \n",
+       "Midwest                                    31.666667   \n",
+       "Northeast                                  31.333333   \n",
+       "Southeast                                  29.687500   \n",
+       "West                                       30.363636   \n",
+       "\n",
+       "           percentage_drivers_fatal_not_distracted  \\\n",
+       "region                                               \n",
+       "Midwest                                  88.833333   \n",
+       "Northeast                                88.666667   \n",
+       "Southeast                                83.000000   \n",
+       "West                                     84.000000   \n",
+       "\n",
+       "           percentage_drivers_fatal_no_previous_accidents  \\\n",
+       "region                                                      \n",
+       "Midwest                                         86.666667   \n",
+       "Northeast                                       87.250000   \n",
+       "Southeast                                       89.312500   \n",
+       "West                                            91.727273   \n",
+       "\n",
+       "           car_insurance_premiums  \n",
+       "region                             \n",
+       "Midwest                756.630833  \n",
+       "Northeast             1021.320000  \n",
+       "Southeast              905.472500  \n",
+       "West                   855.624545  "
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "region = df.groupby(\"region\")\n",
+    "region_collision = region[[\"number_drivers_fatal_billion_miles\", \"percentage_drivers_fatal_speeding\", \"percentage_drivers_fatal_alcohol_impaired\", \"percentage_drivers_fatal_not_distracted\", \"percentage_drivers_fatal_no_previous_accidents\", \"car_insurance_premiums\"]].mean().sort_values(\"region\")\n",
+    "region_collision"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "about-raise",
@@ -950,8 +1115,22 @@
     "- *What was most surprising?*\n",
     "- *How will this project impact you going forward?*\n",
     "\n",
-    "✏️ *Write your answer below:*"
+    "✏️ *Write your answer below:*\n",
+    "\n",
+    "Through my research on the five deadliest regions to drive in across America, I discovered how much my media consumption shapes what I believe about road safety. I realized that I tend to rely on quick social media clips or headlines that focus on shocking accidents instead of looking at real data or credible reports. Once I analyzed official statistics and news articles, I noticed how different the reality was from what I often see online.\n",
+    "\n",
+    "It was surprising to find that the West and Midwest regions both were the highest for 2 out of the six fatal collision categories. Especially since the Midwest is a less populated area than the other regions. \n",
+    "\n",
+    "This project made me more aware of how easily digital content can oversimplify serious issues. Going forward, I’ll be more intentional about checking sources, looking at data before forming opinions, and being more cautious when driving or traveling in high-risk regions. It reminded me that media can influence not just what we think, but how safely we act in real life."
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "16df71b2-5dc7-4602-9c08-3236dcd4c06f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/argument.ipynb b/argument.ipynb
index 9921764..8af37a6 100644
--- a/argument.ipynb
+++ b/argument.ipynb
@@ -23,7 +23,7 @@
    "id": "greater-circular",
    "metadata": {},
    "source": [
-    "## Overarching Question: What is the deadliest region in America to drive on?"
+    "## Overarching Question: What is the deadliest region in America to drive in?"
    ]
   },
   {
@@ -47,7 +47,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 18,
    "id": "technical-evans",
    "metadata": {},
    "outputs": [],
@@ -59,14 +59,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 24,
    "id": "overhead-sigma",
    "metadata": {},
    "outputs": [],
    "source": [
     "### 💻 FILL IN YOUR DATASET FILE NAME BELOW 💻 ###\n",
     "\n",
-    "file_name = \"B_D - bad-drivers.csv\"\n",
+    "file_name = \"B_D2 - bad-drivers.csv\"\n",
     "dataset_path = \"data/\" + file_name\n",
     "\n",
     "df = pd.read_csv(dataset_path)"
@@ -74,7 +74,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 25,
    "id": "heated-blade",
    "metadata": {},
    "outputs": [
@@ -213,7 +213,7 @@
        "4       West  "
       ]
      },
-     "execution_count": 4,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -234,8 +234,7 @@
     "### When is this data set from?\n",
     "\n",
     "I got the data set from FiveThirtyEight. It was used for an article called\n",
-    "\"Dear Mona, Which state has the worst drivers?\" in October 2014. The person who wrote the article is Mona Chalabi, they are a data editor at the Guardian US, \n",
-    "a columnist at New York Magazine, and a lead news writer for FiveThirtyEight.\n",
+    "\"Dear Mona, Which state has the worst drivers?\" in October 2014. The data they used for this article were gathered over different years between 2009 and 2012. The person who wrote the article is Mona Chalabi, they are a data editor at the Guardian US, a columnist at New York Magazine, and a lead news writer for FiveThirtyEight. \n",
     "\n",
     "The date is about fatal collisions in each state. There are 8 rows:\n",
     "\n",
@@ -260,13 +259,13 @@
     "\n",
     "3. What region is the most unlucky state for fatal collisions?\n",
     "\n",
-    "4. Is there a connection between the speed and the roads that are causing fatal collisions, that would make the Car Insurance Premiums more expensive?\n",
+    "4. Is there a connection between the average Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding and the Number of drivers involved in fatal collisions per billion miles?\n",
     "\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 26,
    "id": "f7bba5f3-5911-4a76-ad43-f6ce78cd4fb3",
    "metadata": {},
    "outputs": [
@@ -282,7 +281,7 @@
        "      dtype='object')"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -301,7 +300,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 27,
    "id": "basic-canadian",
    "metadata": {},
    "outputs": [
@@ -311,7 +310,7 @@
        "<function seaborn.rcmod.set_theme(context='notebook', style='darkgrid', palette='deep', font='sans-serif', font_scale=1, color_codes=True, rc=None)>"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -363,7 +362,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 28,
    "id": "negative-highlight",
    "metadata": {},
    "outputs": [
@@ -373,13 +372,12 @@
        "region\n",
        "Southeast    29.687500\n",
        "West         30.363636\n",
-       "Northwest    31.000000\n",
-       "Northeast    31.444444\n",
+       "Northeast    31.333333\n",
        "Midwest      31.666667\n",
        "Name: percentage_drivers_fatal_alcohol_impaired, dtype: float64"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -397,7 +395,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 29,
    "id": "victorian-burning",
    "metadata": {},
    "outputs": [
@@ -407,13 +405,13 @@
        "<Axes: xlabel='region', ylabel='percentage_drivers_fatal_alcohol_impaired'>"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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w/d1335X69etbKw0AAIA3ama0aaljx44PbNfeTQcPHrRySAAAAO8FM1mzZpXdu3c/sF23ZcuWLdbHGT16tFSoUEHSpUtnXte8eXM5cuSI23Nq165tuntHXXQ6BQAAAMvNTJ07d5Y333xTTpw4IVWrVjXbNm7cKB999JH06dMn1sdZu3atdO3a1QQ0d+/elffee08aNGhganfSpEnj9n7Dhw93Pfb39+fsAQAA68HMkCFDTG3Kp59+KgMHDjTbcuXKJUOHDpUePXrE+jjLli1zezxjxgxTQ7Njxw6pWbOmW/CSI0cOK0UFAAAJnKVmJm3q0QTg06dPy5UrV8yi69o1+0lm0NbjqMyZM7tt//777yUgIEBKlixpgqfr16/HeIxbt25JeHi42wIAABIuSzUzOhqwNgsVLlzY1NBEnU1b52nKnz//Yx8zMjJSevXqJdWqVTNBi9PLL79sBuzTmh+dH0p7S2lezcKFC2PMwxk2bJiV/xYAAEgswcxrr71mei5pMBOVjjXz9ddfy5o1ax77mJo7s3//ftmwYYPbds3NcdJJLXPmzCl169Y1g/ZFN0Cf1txEzdvRmpnAwEBJTJgyHgCQmFhqZtq1a5epQblf5cqVo+3l9CjdunWTpUuXSnBwsOTJk+ehz61UqZL5eezYsWj3p0yZUtKnT++2JDpMGQ8ASEQs1cxoXszVq1ejzXl5nBmzdZbt7t27y6JFi0xtToECBR75GmewpDU0AAAAlmpmtKeR5qZEDVx0XbdVr179sZqWZs2aJbNnzza5N+fPnzfLjRs3zH5tShoxYoTp3XTy5ElZsmSJtG/f3ry/TqEAAABgqWZGx5PRgKJIkSJSo0YNs239+vUmP2X16tWxPs6UKVNcA+NFNX36dJOXkyJFClm5cqWZ0DIiIsLkvrRq1UoGDx5spdgAACABshTM6CST2rPo888/lz179kjq1KlNjYnmvtzfrfpRzUwPo8GLDqwHAADg0WBGaVfpUaNGWX05AACAd4MZrYmJLfJZAACAzwUzZcuWNb2YHtU0pM95nB5NAAAAXglmdNRfAAAA2wYzOqUAAABAgkkAVgcPHpRTp07J7du33bY3bdr0ScsFAAAQd8HMiRMnpEWLFrJv3z63PBrnjNnkzAAAAJ8eAbhnz55m6oGwsDDx9/eXAwcOyLp166R8+fKWJpkEAADwas3Mpk2bzEi/AQEBkjRpUrPoNAY6nUGPHj3MRJQAAAA+WzOjzUg6l5LSgObs2bOuJOEjR454toQAAACerpkpWbKkmcZAm5oqVaokY8eONfMoTZ06VQoWLGjlkAAAAN4LZnSiR534UQ0fPlxeeOEFM+FklixZZO7cudZKAgAA4K1gpmHDhq71oKAgOXz4sFy6dEkyZcrk6tGkTp8+beZw0pwaAACAuOCxKENny44ayDhn1z558qSn3gIAAOABcVpl8qh5nAAAAJ4U7T8AACDxTmcAIP45kvnJldJt3R4DQGJCMAPYnU4pkjxFfJcCABJmM9P9CcEAAACeRgIwAACwtThtZjp48KAZZwYAACDeg5mWLVvG+qALFy40PwMDA62VCgAAwNPBTIYMGWL7VAAAAN8LZqZPnx63JQEAALCAQfMAAEDiTACeP3++/Pjjj3Lq1Cm5ffu2276dO3d6omwAAABxUzMzadIkef311yV79uyya9cuqVixomTJkkVOnDghjRo1snJIAAAA7wUzX3zxhUydOlU+++wzSZEihfTv319WrFghPXr0kCtXrlgrCQAAgLeCGW1aqlq1qllPnTq1XL161ay3a9dOfvjhByuHBAAA8F4wkyNHDrl06ZJZz5s3r2zevNmsh4SEMOovAADw/WCmTp06smTJErOuuTO9e/eW+vXrS+vWraVFixaeLiMAAIBnezNpvkxkZKRZ79q1q0n+/f3336Vp06by1ltvWTkkAACA94KZ06dPu01V0KZNG7NoE1NoaKhpegIAAPDZZqYCBQrI33///cB2zaPRfQAAAD4dzGgNTJIkSR7Yfu3aNUmVKpUnygUAAOD5ZqY+ffqYnxrIDBkyRPz9/V377t27J1u2bJGyZct6vpQAAACeqJnR0X510ZqZffv2uR7rcvjwYSlTpozMmDEj1scbPXq0VKhQQdKlSyfZsmWT5s2by5EjR9yec/PmTVeScdq0aaVVq1by119/PU6xAQBAAvZYNTPBwcGu7tgTJ06U9OnTP9Gbr1271gQqGtDcvXtX3nvvPWnQoIEcPHhQ0qRJY56j3b5//vlnmTdvnmTIkEG6desmLVu2lI0bNz7RewMAgETcm2n69OkeefNly5a5PdZaHa2h2bFjh9SsWdNMjfDNN9/I7Nmzzdg2zvcuVqyYGaivcuXKDxzz1q1bZnEKDw/3SFkBAEACmzV7+/btMc6avXDhQkvHdM7rlDlzZvNTg5o7d+5IvXr1XM8pWrSo6fq9adOmaIMZbboaNmyYpfcHAACJpDfTnDlzzNxMhw4dkkWLFpmA48CBA7J69WrTFGSFDsLXq1cvqVatmpQsWdJsO3/+vJnIMmPGjG7P1dm6dV90Bg4caIIi56Lj3gAAgITLUs3MqFGjZPz48SbfRZN3NX9Gx5fR0X9z5sxpqSB6rP3798uGDRvkSaRMmdIsAAAgcbBUM3P8+HF5/vnnzbrWnERERJju2pqsq1MdPC5N6l26dKlJMM6TJ4/bhJbahHX58mW352tvJt0HAABgKZjJlCmTXL161aznzp3b1KgoDTquX78e6+NoF28NZLSpSpuo7h89uFy5cuLn5yerVq1ybdOu25qnU6VKFStFBwAACYylZibtabRixQopVaqUvPjii9KzZ08TjOi2unXrPlbTkvZUWrx4sWmucubBaN5N6tSpzc+OHTuawfo0KVi7gnfv3t0EMtEl/wIAgMTHUjDz+eefm8Hs1KBBg0ztic6arQPaDR48ONbHmTJlivlZu3Ztt+3a/fq1114z65qbkzRpUnNs7XLdsGFD+eKLL6wUGwAAJOZgRmtHRowYYQaz02Yl7c2kNNAYMGCApTfXZqZH0bmeJk+ebBYAAADLOTOfffaZmUhSPfvss2aGbAAAANvUzOTPn18mTZpkphvQGhUdtE4TgWPKqQEAAPCpYObjjz+Wt99+24ywq92wW7RoEe3zdJ/OoA0AAOBTwYzOaK2LNjVpryLtIq3zKAEAANhqnJm0adOawe10TBjtOh3d4jRmzJgHBrwDAACI90HzatWqJcmTJ4/VtAckCgMAAJ8LZjzZ9RoAAMBngxkAAIC4RjADAABsjWAGAADYGsEMAACwtTgNZmrUqGFmvwYAAPCpYGbnzp2yb98+1+PFixebAfXee+89uX37tmv7L7/8Ijlz5vRMSQEAADwVzLz11lty9OhRs37ixAlp06aN+Pv7y7x586R///5WDgkAAOC9YEYDmbJly5p1DWB0YsnZs2fLjBkzZMGCBdZKAgAA4K1gRgfDi4yMNOsrV66Uxo0bm/XAwEC5cOGClUMCAAB4L5gpX768jBw5Ur777jtZu3atPP/882Z7SEiIZM+e3VpJAAAAvBXMTJgwwSQBd+vWTQYNGiRBQUFm+/z586Vq1apWDgkAAGDJo2eLvM+9e/fMTNjr1q2TTJkyue37+OOPJVmyZNZKAgAA4I2aGQ1WGjRoYAKa+6VKlUr8/PyslAMAAMB7zUwlS5Y0XbIBAABsGcxo8u8777wjS5culXPnzkl4eLjbAgAA4LM5M8rZFbtp06aSJEkSty7b+ljzagAAAHw2mAkODvZ8SQAAALwVzNSqVcvKywAAAHxn1uz169fLq6++asaVOXPmjNmmg+ht2LDBk+UDAADwfDCj8y81bNhQUqdObQbPu3Xrltl+5coVGTVqlJVDAgAAeLc305dffilfffWV27gy1apVM8ENAACATwczR44cMTNl3y9DhgzRDqYHAADgU8FMjhw55NixYw9s13yZggULeqJcAAAAcRfMdO7cWXr27Clbtmwx48qcPXtWvv/+ezOQXpcuXawcEgAAwHtdswcMGCCRkZFSt25duX79umlySpkypQlmunfvbq0kAAAA3gpmtDZm0KBB0q9fP9PcdO3aNSlevLikTZvWyuEAAAC828w0a9YsUyOTIkUKE8RUrFiRQAYAANgnmOndu7dky5ZNXn75Zfnll1+YiwkAANgrmNGZsufMmWOam1566SXJmTOndO3aVX7//ffHOs66deukSZMmkitXLnOsn376yW3/a6+9ZrZHXZ577jkrRQYAAAmUpWAmefLk8sILL5geTGFhYTJ+/Hg5efKkPPvss1KoUKFYHyciIkLKlCkjkydPjvE5Grxo8ORcfvjhBytFBgAACZSlBOCo/P39zdQG//zzj/z5559y6NChWL+2UaNGZnkY7SWl49oAAAB4dKJJTQDWmpnGjRtL7ty5ZcKECdKiRQs5cOCAeNKaNWtMfk6RIkXMGDYXL1586PN1nqjw8HC3BQAAJFyWambatGkjS5cuNbUymjMzZMgQqVKliscLp01MLVu2lAIFCsjx48flvffeMzU5mzZtkmTJkkX7mtGjR8uwYcM8XhYAAJCAghkNJH788UfTvBRTUOEJGjQ5lSpVSkqXLm1ycrS2Rgfsi87AgQOlT58+rsdaMxMYGBhnZQQAADYMZrR5KT7ovE8BAQFmoL6YghnNsdEFAAAkDrEOZiZNmiRvvvmmpEqVyqw/TI8ePSQunD592uTMaFdwAACAxwpmtPv1K6+8YoKZcePGmTFfoqPbYxvM6DQIUWffDgkJkd27d0vmzJnNorkvrVq1Mr2ZNGemf//+EhQUZJq3AAAAHiuY0UDDSceU8YTt27ebsWmcnLkuHTp0kClTpsjevXvl22+/lcuXL5uB9Ro0aCAjRoygGQkAAFjPmblz544ULVrU9GYqVqyYPInatWuLw+GIcf/y5cuf6PgAACDhe+xxZvz8/OTmzZtxUxoAAABvDJqn8zB99NFHcvfuXSsvBwAAiN+u2du2bZNVq1bJb7/9ZsZ/SZMmjdv+hQsXeqp8AAAAng9mMmbMaHoZAQAA2DKYmT59uudLAgAA4M2JJgEAAGxVM/P000/HOFDe/Xbu3PkkZQIAAPB8MNO8eXPXunbN/uKLL6R48eKu2bI3b94sBw4ckH//+9+xf3cAAABvBTMffPCBa71Tp05mygIdjff+54SGhj5pmQAAAOI2Z2bevHnSvn37B7a/+uqrsmDBAiuHBAAA8F4wkzp1atm4ceMD23WbTkQJAADg012ze/XqJV26dDGJvhUrVjTbtmzZItOmTZMhQ4Z4uowAAACeDWYGDBggBQsWlIkTJ8qsWbPMNp10Usefeemll6wcEgAAwHvBjNKg5VGByw8//CBNmzZ9YLoDAAAAWwya99Zbb8lff/0Vl28BAAASuTgNZhwOR1weHgAAgOkMAACAvRHMAAAAWyOYAQAAtkYwAwAAbC1Og5l8+fKJn59fXL4FAABI5CwHM5cvX5avv/5aBg4cKJcuXTLbdETgM2fOuJ6zf/9+CQwM9ExJAQAAPDVo3t69e6VevXqSIUMGOXnypHTu3FkyZ84sCxculFOnTsnMmTOtHBYAAMA7NTN9+vSR1157Tf744w+3iSUbN24s69ats3JIAAAA7wUz27ZtM6P73i937txy/vx5ayUBAADwVjCTMmVKCQ8Pf2D70aNHJWvWrFYOCQAA4L1gRiePHD58uNy5c8c8TpIkicmVeffdd6VVq1bWSgIAAOCtYObTTz+Va9euSbZs2eTGjRtSq1YtCQoKknTp0smHH35o5ZAAAADe682kvZhWrFghGzZsMD2bNLB55plnTA8nAAAAnw9mnKpXr24WAAAAWwUzkyZNina75s5oV21tcqpZs6YkS5bsScsHAADg+WBm/Pjx8vfff8v169clU6ZMZts///wj/v7+kjZtWgkLC5OCBQtKcHAwIwADAADfSwAeNWqUVKhQwQyad/HiRbNot+xKlSrJxIkTTc+mHDlySO/evT1fYgAAgCetmRk8eLAsWLBAChUq5NqmTUuffPKJ6Zp94sQJGTt2LN20AQCAb9bMnDt3Tu7evfvAdt3mHAE4V65ccvXq1ScvIQAAgKeDmWeffdZMZ7Br1y7XNl3v0qWL1KlTxzzet2+fFChQ4KHH0XmcmjRpYgIfTR7+6aef3PY7HA55//33JWfOnJI6dWrT9VubtgAAAJ4omPnmm2/MLNnlypUzUxvoUr58ebNN9ylNBNbB9R4mIiJCypQpI5MnT452vzZVac+pL7/8UrZs2SJp0qSRhg0bys2bN60UGwAAJECWcmY0uVcHzTt8+LBJ/FVFihQxS9Tam0dp1KiRWaKjtTITJkww+TnNmjUz22bOnCnZs2c3NTht2rSxUnQAAJDAPNGgeUWLFjVLXAgJCTH5N1FHFdaRh7XH1KZNm2IMZm7dumUWp+gmxAQAAAmH5WDm9OnTsmTJEtMN+/bt2277xo0b98QFcyYSa01MVPrYuS86o0ePlmHDhj3x+wMAgAQczKxatcrMnK0D42lTU8mSJeXkyZOmaUjnaIpPAwcOlD59+rjVzDBwHwAACVdSqwHDO++8Y3os6fQFOuZMaGiomT37xRdf9EjBNC9H/fXXX27b9bFzX3Q0GTl9+vRuCwAASLgsBTOHDh2S9u3bm/XkyZPLjRs3TO+l4cOHy0cffeSRgmm3bg1atBYoai2L9mqqUqWKR94DAAAk0mYm7SLtzJPRMWCOHz8uJUqUMI8vXLgQ6+Ncu3ZNjh075pb0u3v3btPFO2/evNKrVy8ZOXKkFC5c2AQ3Q4YMMWPSNG/e3EqxAQBAAmQpmKlcubJs2LBBihUrJo0bN5a+ffuaJqeFCxeafbG1fft2ty7czlyXDh06yIwZM6R///5mLJo333xTLl++LNWrV5dly5aZpi0AAADLwYz2VtJaFaU9h3R97ty5pgblcXoy1a5d2yQNx0RHBdamK10AAAA8FsxoL6aoTU46Qi8AAIBtEoA1mLl48eID27UpKGqgAwAA4JPBjI4pc+/evQe268i7Z86c8US5AAAAPN/MpCP+Oi1fvtxML+CkwY12o86fP//jHBIAAMB7wYyzS7Qm5mqPo6j8/PxMIPOombIBAADiLZiJjIw0P3XMl23btklAQIBHCwMAAOCV3kw6uB0AAICtZ83W/BhdwsLCXDU2TtOmTfNE2QAAAOImmNGB8nQgu/Lly5vpDDSHBgAAwDbBjA6Sp9MNtGvXzvMlAgAAiOtxZnSSyapVq1p5KQAAQPwHM506dZLZs2d7tiQAAADeama6efOmTJ06VVauXCmlS5c2Y8xE9TiTTQIAAHg9mNm7d6+ULVvWrO/fv99tH8nAAADA54OZ4OBgz5cEAADAWzkzTseOHTNzNN24ccM8djgcT3I4AAAA7wQzFy9elLp168pTTz0ljRs3lnPnzpntHTt2lL59+1o5JAAAgPeCmd69e5uk31OnTom/v79re+vWrWXZsmXWSgIAAOCtnJnffvvNNC/lyZPHbXvhwoXlzz//tHJIAAAA79XMREREuNXIOF26dElSpkxprSQAAADeCmZq1KghM2fOdOuOrZNNjh07Vp599lkrhwQAAPBeM5MGLZoAvH37djO1Qf/+/eXAgQOmZmbjxo3WSgIAAOCtmpmSJUvK0aNHpXr16tKsWTPT7NSyZUvZtWuXFCpUyMohAQAAvFczozJkyCCDBg2y+nIAAID4q5mZPn26zJs374Htuu3bb7/1RLkAAADiLpgZPXq0BAQEPLA9W7ZsMmrUKCuHBAAA8F4wo4PlFShQ4IHt+fLlM/sAAAB8OpjRGhidOft+e/bskSxZsniiXAAAAHEXzLRt21Z69OhhZs++d++eWVavXi09e/aUNm3aWDkkAACA93ozjRgxQk6ePGnGmkme/P8dQgfNa9++PTkzAADAt4MZh8Mh58+flxkzZsjIkSNl9+7dkjp1ailVqpTJmQEAAPD5YCYoKMiM+KsTS+oCAABgm5yZpEmTmgDm4sWLcVMiAACAuE4AHjNmjPTr10/2799v5eUAAADxmwCsib7Xr1+XMmXKSIoUKUzOTFQ64SQAAIDPBjMTJkzwfEkAAAC8Fcx06NBBvGXo0KEybNgwt21FihSRw4cPe60MAAAgAc6affz4cTPhpP6cOHGiGRX4119/lbx580qJEiU8Wkg93sqVK12PnWPbAAAAWEoAXrt2rRlXZsuWLbJw4UK5du2aazqDDz74wNNlNMFLjhw5XEt0k1w63bp1S8LDw90WAACQcFkKZgYMGGAGzFuxYoVJAHaqU6eObN68WTztjz/+kFy5cknBggXllVdeeehkljqjd4YMGVxLYGCgx8sDAABsHszs27dPWrRo8cB2bWq6cOGCeFKlSpXMaMPLli2TKVOmSEhIiNSoUUOuXr0a7fMHDhwoV65ccS2hoaEeLQ8AAPAtlpJPMmbMKOfOnZMCBQq4bd+1a5fkzp1bPKlRo0au9dKlS5vgRqdN+PHHH6Vjx44PPD9lypRmAQAAiYOlmhmdGfvdd981czQlSZLETDK5ceNGeeedd8wYNHFJA6mnnnpKjh07FqfvAwAAEnAwozNjFy1a1OSjaPJv8eLFTdNP1apVZfDgwRKX9P20B1XOnDnj9H0AAEACbmbSpN+vvvpK3n//fZM/ExERIU8//bSZgNLTtLanSZMmpmnp7NmzprdUsmTJpG3bth5/LwAAYD+WB2z55ptvZPz48aankdLJJ3v16iWdOnXyZPnk9OnTJnDRiS2zZs0q1atXNz2mdB0AAMBSMKM1MuPGjZPu3btLlSpVzLZNmzZJ7969Tbfp4cOHe6yAc+bM8dixAABAwmMpmNEu0trMFLWpp2nTpqa3kQY4ngxmAAAAPJ4AfOfOHSlfvvwD28uVKyd37961ckgAAADvBTPt2rUztTP3mzp1qhmhFwAAwBYJwL/99ptUrlzZPNZ5mjRfRseZ6dOnj+t5mlsDAADgU8HM/v375ZlnnjHrOuaL0skfddF9TjqgHgAAgM8FM8HBwZ4vCQAAgLdyZgAAAHwFwQwAALA1ghkAAGBrBDMAAMDWCGYAAICtEcwAAABbI5gBAAC2RjADAABsjWAGAADYGsEMAACwNYIZAABgawQzAADA1ghmAACArRHMAAAAWyOYAQAAtkYwAwAAbI1gBgAA2BrBDAAAsDWCGQAAYGsEMwAAwNYIZgAAgK0RzAAAAFsjmAEAALZGMAMAAGyNYAYAANgawQwAALA1ghkAAGBrBDMAAMDWCGYAAICt2SKYmTx5suTPn19SpUollSpVkq1bt8Z3kQAAgI/w+WBm7ty50qdPH/nggw9k586dUqZMGWnYsKGEhYXFd9EAAIAP8PlgZty4cdK5c2d5/fXXpXjx4vLll1+Kv7+/TJs2Lb6LBgAAfEDy+C7Aw9y+fVt27NghAwcOdG1LmjSp1KtXTzZt2hTta27dumUWpytXrpif4eHhsX7fe7duPFG54VmPc+6s4Hz7Fs534sL5TlzCH+N8O5/rcDge/WSHDztz5oz+Dxy///672/Z+/fo5KlasGO1rPvjgA/MaFhYWFhYWFrH9Ehoa+sh4wadrZqzQWhzNsXGKjIyUS5cuSZYsWSRJkiSSWGhEGxgYKKGhoZI+ffr4Lg7iGOc7ceF8Jy6J9Xw7HA65evWq5MqV65HP9elgJiAgQJIlSyZ//fWX23Z9nCNHjmhfkzJlSrNElTFjRkms9MJPTBd/Ysf5Tlw434lLYjzfGTJksH8CcIoUKaRcuXKyatUqt5oWfVylSpV4LRsAAPANPl0zo7TJqEOHDlK+fHmpWLGiTJgwQSIiIkzvJgAAAJ8PZlq3bi1///23vP/++3L+/HkpW7asLFu2TLJnzx7fRfNp2tSmY/Pc3+SGhInznbhwvhMXzvejJdEs4Fg8DwAAwCf5dM4MAADAoxDMAAAAWyOYAQAAtkYwk8CsWbPGDA54+fLl+C4KAA967bXXpHnz5vFdDFhUu3Zt6dWr10Ofkz9/ftNjF4+PYCaOaA+sLl26SN68eU0Gug7yp7N9b9y40asfjvhAQPX4dALVdOnSyd27d13brl27Jn5+fuY8R/f7PX78uOX3O3nypDnG7t27n6jciTmw0N/fmDFj3Lb/9NNPTzzSuC+fGwKq6K+Dt99++4F9Xbt2Nfv0OWrhwoUyYsQI8VVJkiQx169dEczEkVatWsmuXbvk22+/laNHj8qSJUvMH6WLFy/Gd9Hgg5599lkTvGzfvt21bf369SYI3rJli9y8edO1PTg42ATJhQoViqfSQqVKlUo++ugj+eeffzw6uS7sRacZmDNnjty48b8JLfXzOnv2bPM5dcqcObP5woK4QTATB7RGQv8Q6Y1O/0jly5fPDPin80Y1bdrUPOfUqVPSrFkzSZs2rRme+qWXXnKbtiG6b0BaC+P8lq77165dKxMnTjQRtS76jc5JZxvXgQb9/f2latWqcuTIEbdjLV68WJ555hlzQy5YsKAMGzbMrVZg3LhxUqpUKUmTJo35sP773/82f2yd/vzzT2nSpIlkypTJPKdEiRLyyy+/mDLo/1npvqjfTBCzIkWKSM6cOU2ti5Ou6zVSoEAB2bx5s9t2/R3raNijR482+1OnTi1lypSR+fPnu56nf2RfeeUVyZo1q9lfuHBhmT59utmnr1FPP/20OUf31/7g0erVq2eCTT0HMVmwYIH5bGjtrDYhfPrpp277dZt+W2/fvr25D7z55puPPDeffPKJuVZ0vjn99n/nzh3Xvlu3bsk777wjuXPnNp/LSpUquV1T+mWqbdu2Zr/eG/Qz/sMPP7gdX68h3a7XjL6H/j91oNKhQ4eaL2d673Dec6IeO7HS+6jeI7XmxUnXNZDRcxhTTXpYWJi5h+rvWc/5999/73ZcPY8vvPCC67E2P+nvXMdZcwoKCpKvv/7a9VjXixUrZu7rRYsWlS+++MItUO7WrZu5dnS//l1yXrt6HaoWLVqY93A+thVPzXCN/7lz544jbdq0jl69ejlu3rz5wP579+45ypYt66hevbpj+/btjs2bNzvKlSvnqFWrlus5HTp0cDRr1sztdT179nQ95/Lly44qVao4Onfu7Dh37pxZ7t696wgODjazjFaqVMmxZs0ax4EDBxw1atRwVK1a1XWcdevWOdKnT++YMWOG4/jx447ffvvNkT9/fsfQoUNdzxk/frxj9erVjpCQEMeqVascRYoUcXTp0sW1//nnn3fUr1/fsXfvXnOM//73v461a9eaMixYsMCU4ciRI6ZcWlY82ssvv+xo0KCB63GFChUc8+bNc7z99tuO999/32y7fv26I2XKlObcjRw50lG0aFHHsmXLzDmYPn262afnXXXt2tVcZ9u2bTPnccWKFY4lS5aYfVu3bjXnaOXKleYcXbx4MZ7+1/bk/HwuXLjQkSpVKtesvosWLTK/V6Wf7aRJkzqGDx9uPgt6flKnTm1+OuXLl898Fj/55BPHsWPHzBLTudH31Ofq9XDo0CHzmfP393dMnTrVdbxOnTqZz7p+xvVYH3/8sbkmjh49avafPn3abNu1a5e5ZiZNmuRIliyZY8uWLWb/2bNnHcmTJ3eMGzfOXDP6+Z48ebLj6tWrZnnppZcczz33nOuec+vWLUdi5rwO9PdVt25d13Zd13uo7tPnKL136z3cqVGjRo4yZco4Nm3aZK4VPW96fejrlH5WM2TIYO6pqnnz5o6AgADHu+++6zqXep388ccf5vGsWbMcOXPmNPffEydOmJ+ZM2c29wql5z0wMNBcGydPnnSsX7/eMXv2bLMvLCzMHEuvTT2v+thuCGbiyPz58x2ZMmUyNzq9SAcOHOjYs2eP2afBg95ATp065Xq+Bh16MemNLDbBTHQfDuUMZvRG6PTzzz+bbTdu3HB90EaNGuX2uu+++858EGKif1SzZMnielyqVCm34Ce6Mvzzzz+P+C0hqq+++sqRJk0aEwyHh4ebPyp6U9EbTs2aNc1zNLDU363ejPQP2e+//+52jI4dOzratm1r1ps0aeJ4/fXXo30v/UOlx9E/anh8UT+flStXdrzxxhsPBDManGrAH1W/fv0cxYsXdwtm9I9UbM6Nvqc+3/nHTb344ouO1q1bm/U///zT3FfOnDnj9jr9vOv9Jyb6xaRv375mfceOHa7r61H/b/zv96GfUw0a9femi973//777xiDGQ1uo97vlQaous0ZzOj9U4Nh/TISGRlpApPRo0ebL6rO4CV37tyu1xcqVMgVnDiNGDHCfOlV3bt3d9SpU8ccKzr63nr92pXPT2dg55yZ559/3jQ3aRPBr7/+KmPHjjXVgM7p3HVxKl68uJnd+9ChQ1KhQoUnfv/SpUu71rVa0VmtqVWfe/bsMYnIH374oes59+7dM+28169fN9XPK1euNFWQhw8fNuXVJqio+3v06GESnH/77TdTDa3/36jvicen1dBanb9t2zbTRPTUU0+ZJqJatWqZucj096/V+tosqE1+ei7q16/vdgytSnZWbev50fOyc+dOadCggWm21CZHeJY2J9epU8c0C0Sln2VtJoyqWrVqprlAP2/JkiUz27Q5OLa0ycr5Oudne9++fWZdf+px9bqJSpuetLlI6f5Ro0bJjz/+KGfOnDHXi+7Xz7TSpsq6deuaZibtsKDXzb/+9S/TZIyY6edU7/czZszQSNasBwQExPh8vTaSJ09uJlJ20mYh/RvgpOt6PvQzr5Mu66LNkDqtgX7+Nc1A7w0qIiLCdAjo2LGjdO7c2XUMvW87Z53W5n69X2iT9nPPPWeasPT8JhQEM3FI2yX14tFlyJAh0qlTJ3Mh9u3b95GvTZo0qflQRBW1bfxRtBeMk7N3heZYKP0gaI5My5Ytoy2z5r3oha5/DDXg0cS1DRs2mA+K3vz0xqf/F73Z/fzzzyag0cBH8wG6d+8e6zLCnbZ/58mTxyT4ajDjvFHlypXLBL6///672ad/OJ35S/r71/yHqJzztzRq1MjkNmku04oVK8wfKc2x0JwLeE7NmjXNZ0Fz4qzkh2lui5XPtfOzHfVzrYGO5stFDXiU5uapjz/+2OTZaUDlzInTPA5n4rG+Tq8Vvdb0c/3ZZ5/JoEGDTBK6M5cH0XvjjTdMToqaPHmyx77gaDCjn2m9H+i9WHNi9H6swYzzb8m1/38/+Oqrr0yeVFTOa0Fze0JCQswXa/2yqnma+kU0ap6dnRHMeJHWvmjXN70YQ0NDzeKsnTl48KBJHNbnOCP9/fv3u71eu2pGvZlppK7ftB6XXtSaEKx/PKOjN0O9QWpwokGV0m9y99Oya5dEXfRGrh8kDWa0XMpK2RI7TezVm5cGM/369XP7g6k3oa1bt5ogU68TvcFpIrkz6ImOXkc667wuNWrUMMfUYIZz5FnaRVsnwdVvvU76Ob9/KAZ9rDUn9wcbUVk9N1ojp6/RGlg919HR99faoldffdU81s+59rZ03necAZLWIOmiE/xqouiiRYukT58+lu85iYHWdmhQqL8/DW4fRmthtNZE77XOmni9J98/nIV+tqdNm2ZqcfT4zgBHk7b1vDmTw7Nnz26+9Jw4ccIk/cdEk8x18mZdtMZNj3np0iUTJOnfFjufW4KZOKA9Bl588UUTqWvTi3bH0y632sykNxKNhvVbkV50+g1JL2rtLaQXrrPKWb9967eomTNnSpUqVWTWrFkmuImaHa8Z5/qNSWtS9JuXXpCxoTcorXnRJie9oDVg0aYnPf7IkSNNkKO1QPqtTLPt9Qao46BEpd/m9Ju/3pj1D6/WGOjNW+nNTz/QS5culcaNG5tsfec3Qzw6mHH2UIkapOi6fuvTm6U+R68pbdbo3bu3+YNUvXp1uXLlijlXesPS4EXPs1Zja9OENiXo+XCeo2zZspnzoj0jtDZIa+Sc1dF4fM7P86RJk1zb9Fuz/qHS3kr6x2PTpk3y+eefu/UwiY7Vc6OfRS2D9ozSLyJ6r9DxrlatWmXuQ9r0oT3a9Ju41rxo05H2WtRelM5gRu8n+nxtftBy6GM9hvO60XvO8uXLzR9ebbrSct1fW5RYaYCqzUfO9YdxNvW89dZbMmXKFBOs6D1Vz3tU+iXm6tWr5rPrHNNIAxi9b2sTY9QmxWHDhpnmfz0nemz9zOvfHb0/ayCq51pfo9eF3vPnzZtneuM5m7b03Oq51yBWvyjZrmkxvpN2EiLtwTRgwADHM888Y7LRNVFTewMNHjzY9EZxJus1bdrUJHymS5fOJPKdP3/e7TjagyV79uzmGL1793Z069bNLQFYk8g0+VAz4PVUauJgdMm3mkjo3O+kPWCc2fPaQ6JixYpuvSI0O18TgnV/w4YNHTNnznQ7rpZFE8406S1r1qyOdu3aOS5cuOB6vfbgyJEjhyNJkiSuBDg8mjP5U3spRaVJhbpdryMnTeSbMGGC2ebn52fOg54r7VXmTP4rVqyYOYeaPKjJiNrLIWrCsfZu0CTDqNcVHi26RFg9dylSpHAlADs7AmjCr56fvHnzmh4lUWlCrzPhM6rozk1sOgXcvn3b3De0d6K+p36GW7RoYXolKe0ZpcfQ3pbZsmUz96T27du7jnvw4EFzDem1pJ/tp556yvHZZ5+5jq+JrprUrK/X/6febxKzRyVEP6w3k/Ya0uRr/T3rtaH32OiuB+3xpPdSJz2Hel9t06bNA+/3/fffmx6Meh1qBxTtOKA97pTe33Wf/s3Re74mhu/cudP1Wu09FRQUZDoeaDnsJon+E98BFQAAgFUMmgcAAGyNYAYAANgawQwAALA1ghkAAGBrBDMAAMDWCGYAAICtEcwAAABbI5gBAAC2RjADwPZ0KHadGgRA4sQIwABsT+cP0hmgdUZ3AIkPwQyAeKMTZzpniQYAq2hmAuA1OuOvzv6tMwQHBARIw4YNzWztOgO7zqyePXt2adeunVy4cMH1Gp01WGeD1poXnfV3/Pjx5jh6jJiamU6dOmVmqNdj6iziL730kpkd2mno0KFStmxZ+e6778xrdabhNm3amPcCYD8EMwC86ttvvzW1MRs3bpQxY8ZInTp15Omnn5bt27fLsmXLTNChwYdTnz59zHOXLFkiK1askPXr18vOnTtjPH5kZKQJZC5duiRr1641rzlx4oS0bt3a7XnHjx+Xn376SZYuXWoWfa6WB4D9JI/vAgBIXAoXLixjx4416yNHjjSBzKhRo1z7p02bJoGBgXL06FFTE6PBz+zZs6Vu3bpm//Tp0yVXrlwxHn/VqlWyb98+CQkJMcdRM2fOlBIlSsi2bdukQoUKrqBnxowZki5dOvNYa4T0tR9++GGc/v8BeB7BDACvKleunGt9z549EhwcbJqD7qc1Jzdu3JA7d+5IxYoVXdu1SahIkSIxHv/QoUMmiHEGMqp48eKSMWNGs88ZzGjzkjOQURo4hYWFeeT/CMC7CGYAeJXmvjhdu3ZNmjRpIh999NEDz9Pg4tixY3FWDj8/P7fHSZIkMbU1AOyHnBkA8eaZZ56RAwcOmFqSoKAgt0WDnoIFC5qgQ5uHnK5cuWKaoGJSrFgxCQ0NNYvTwYMH5fLly6aGBkDCQzADIN507drVJOq2bdvWBCzatLR8+XJ5/fXX5d69e6YZqEOHDtKvXz/THKWBT8eOHSVp0qSmJiU69erVk1KlSpkeUJoovHXrVmnfvr3UqlVLypcv7/X/I4C4RzADIN5oIq/2VNLApUGDBiYI0S7Xmt+iAYsaN26cVKlSRV544QUTqFSrVs3UvqRKlSraY2qQs3jxYsmUKZPUrFnTvEZreObOnevl/x0Ab2HQPAC2EhERIblz55ZPP/3U1NIAAAnAAHzarl275PDhw6ZHk+bLDB8+3GzXsWQAQBHMAPB5n3zyiRw5csQMtqddu3XgPB1BGAAUzUwAAMDWSAAGAAC2RjADAABsjWAGAADYGsEMAACwNYIZAABgawQzAADA1ghmAACArRHMAAAAsbP/A0cb8o1qAQy2AAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -426,6 +424,14 @@
     "sns.barplot(data=df, x=\"region\", y=\"percentage_drivers_fatal_alcohol_impaired\", errorbar=\"sd\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "a4159a11-dde7-4756-949b-e12407d56af9",
+   "metadata": {},
+   "source": [
+    "This graph shows that the Midwest region has the highest percentage of drivers involved in fatal collisions who were alcohol-impaired in 2012"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "collectible-puppy",
@@ -467,7 +473,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 30,
    "id": "pursuant-surrey",
    "metadata": {},
    "outputs": [
@@ -478,12 +484,11 @@
        "Midwest       756.630833\n",
        "West          855.624545\n",
        "Southeast     905.472500\n",
-       "Northeast     975.038889\n",
-       "Northwest    1160.163333\n",
+       "Northeast    1021.320000\n",
        "Name: car_insurance_premiums, dtype: float64"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -500,7 +505,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 31,
    "id": "located-night",
    "metadata": {},
    "outputs": [
@@ -510,13 +515,13 @@
        "<Axes: xlabel='region', ylabel='car_insurance_premiums'>"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 31,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -531,10 +536,18 @@
   },
   {
    "cell_type": "markdown",
-   "id": "8ab785a8-ac72-4fec-8d4b-7ad7f93de32d",
+   "id": "8e330a3f-3da7-4a1a-ab73-f7c528dfb809",
    "metadata": {},
    "source": [
-    "## Third Research Question: What region is the most unlucky state for fatal collisions?"
+    "The graph shows that the region with the highest premium car insurance is the Northwest "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e998c4c9-6d26-45fc-86f9-1362761c2b46",
+   "metadata": {},
+   "source": [
+    "## Third Research Question: What region is the most unlucky for fatal collisions? "
    ]
   },
   {
@@ -562,7 +575,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 32,
    "id": "096fe314-2953-4644-86e0-cd717f77eb8f",
    "metadata": {},
    "outputs": [
@@ -604,13 +617,8 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Northeast</th>\n",
-       "      <td>87.777778</td>\n",
-       "      <td>85.111111</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Northwest</th>\n",
-       "      <td>91.333333</td>\n",
-       "      <td>93.666667</td>\n",
+       "      <td>88.666667</td>\n",
+       "      <td>87.250000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Southeast</th>\n",
@@ -630,21 +638,19 @@
        "           percentage_drivers_fatal_not_distracted  \\\n",
        "region                                               \n",
        "Midwest                                  88.833333   \n",
-       "Northeast                                87.777778   \n",
-       "Northwest                                91.333333   \n",
+       "Northeast                                88.666667   \n",
        "Southeast                                83.000000   \n",
        "West                                     84.000000   \n",
        "\n",
        "           percentage_drivers_fatal_no_previous_accidents  \n",
        "region                                                     \n",
        "Midwest                                         86.666667  \n",
-       "Northeast                                       85.111111  \n",
-       "Northwest                                       93.666667  \n",
+       "Northeast                                       87.250000  \n",
        "Southeast                                       89.312500  \n",
        "West                                            91.727273  "
       ]
      },
-     "execution_count": 24,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -657,7 +663,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 33,
    "id": "3777e6d1-08a5-4747-9100-9af86f88e90a",
    "metadata": {},
    "outputs": [
@@ -667,13 +673,13 @@
        "<Axes: xlabel='region', ylabel='percentage_drivers_fatal_not_distracted'>"
       ]
      },
-     "execution_count": 25,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -688,7 +694,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 34,
    "id": "21d5122b-9973-43f9-b4f0-7db7a6c936d9",
    "metadata": {},
    "outputs": [
@@ -698,13 +704,13 @@
        "<Axes: xlabel='region', ylabel='percentage_drivers_fatal_no_previous_accidents'>"
       ]
      },
-     "execution_count": 26,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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AAABikqVoRLuXwsLCZP369Sbx9/bt2+b4xYsX5c6dO66uIwAAgGtbZs6dOydvv/22nD9/Xh4+fGiCG13q4LPPPjO3v/76ayvFAgAAuKdlplu3biZP5saNG+Ln5+c43qBBA9mwYYOVIgEAANzXMrN161bZvn27xI8f3+l49uzZzWR6AAAAHt0yo/kyoaGhEY7//fffjpW1AQAAPDaY0Zl/J0yY4Ljt4+NjEn8HDRoktWrVcmX9AAAAXB/MjB07VrZt2yb+/v7y4MEDee+99xxdTJoE/CL0Me+//76kTp3a5N8UKFBA9u7d6zhvs9lk4MCBkjFjRnNeV+zWyfkAAAAs58zorL8HDx6UhQsXmv9rq0zbtm2lRYsWTgnBz6MJxOXKlZPKlSvLr7/+KmnTpjWBik7IZzdmzBiZNGmSzJ49W3LkyCEDBgyQmjVryrFjxyRhwoRcRQAAYrkXDmYeP34s+fLlk1WrVpngRTertBVHAyNdGsFOA5bwrTLandW/f3+pV6+eOTZnzhwzA7Gu2N2sWbMIZerQcN3CL70AAABeXS/czRQvXjzTteQKOpOwDvFu3LixpEuXTooUKSLTp093nA8MDDQLWWrXkl3y5MmlVKlSsmPHjkjL1OUV9D72TYMlAADw6rKUM9O5c2fTqvLkyZOXevIzZ86YRSrz5Mkja9askU6dOknXrl1Nl5LSQEZpS0x4ett+7mn9+vWTW7duObagoKCXqiMAAHgFc2b27NljJsdbu3atSdhNnDix0/lly5ZFeYi3tsyMHDnS3NaWmSNHjpgZhFu3bm2lapIgQQKzAQCA2MFSMJMiRQpp1KjRSz+5jlDSEVHh5c+fX5YuXWr2M2TIYP5/5coVc187vV24cOGXfn4AABBLg5nwCbsvQ0cynTx50unYqVOnJFu2bI5kYA1otBXIHrxoQu+uXbtMlxQAAIClYMYuODjYEYy8/vrrJon3RQQEBEjZsmVNN1OTJk1k9+7dMm3aNLPZJ+Pr3r27DB8+3OTV2IdmZ8qUSerXr/8yVQcAALE5mNHWEU0CXrBggWNZgzhx4kjTpk1lypQpZhRRVJQoUUJ+/PFHk7Q7dOhQE6zoUOzww7379Okjd+/elQ4dOsjNmzelfPnysnr1auaYAQAA1kcztW/f3nT16FwzGmDopvs6c2/Hjh1fqKw6derI4cOHzXDv48ePm7LD09YZDXR09JLeZ/369ZI3b14r1QYAAK8gSy0zGrjoUGptJbHTWXl1jpi3337blfUDAABwfcuMrqMUWVeSHgu/FAEAAIBHBjO6vECPHj2cJq7T/d69e5sEXQAAAI/uZtJZe//66y/JmjWr2dT58+fNZHVXr16Vb775xnHf/fv3u662AAAArghmGBYNAAC8OpgZNGhQlO43f/58M6z66eUOAAAAYjRnJqp0mLYuPQAAAOCVwYzNZovO4gEAAKI3mAEAAIhuBDMAAMCrEcwAAACvRjADAAC8WrQGM9myZZN48eJF51MAAIBYztI8M3b79u0zK10rf39/KVq0qNP5I0eOvFztAAAAoiOYCQ4OlmbNmsmmTZskRYoU5tjNmzelcuXKsmDBAkmbNq2VYgEAANzTzdSlSxe5ffu2HD16VK5fv242bYUJCQmRrl27WikSAADAfS0zq1evlvXr10v+/Pkdx7SbacqUKVKjRg1rNQEAAHBXy0xYWFikib16TM8BAAB4dDBTpUoV6datm1y8eNFx7MKFCxIQECBVq1Z1Zf0AAABcH8x8+eWXJj8me/bskitXLrPlyJHDHJs8ebKVIgEAANyXM5MlSxbZv3+/yZs5ceKEOab5M9WqVbNWCwAAAHfPM+Pj4yPVq1c3GwAAgNcFMxs2bDCbzjnzdNLvjBkzXFE3AACA6AlmhgwZIkOHDpXixYtLxowZTSsNAACA1wQzX3/9tcyaNUtatmzp+hoBAABE92imR48eSdmyZa08FAAAIOaDmXbt2sm8efNcWxMAAAB3dTM9ePBApk2bZoZmFyxYMMJswOPGjbNSLAAAgHuCmUOHDknhwoXNvi4wGR7JwAAAwOODmY0bN0bpfn///bdkypRJfH0t9WYBAAA8V7RGGbqS9tmzZ6PzKQAAQCwXrcGMzWaLzuIBAACiN5gBAACIbgQzAADAqxHMAAAArxatwQzDtAEAQHQjARgAAMS+eWai6tixY2aeGQAAgBgPZho2bBjlQpctW2b+nyVLFmu1AgAAcHUwkzx58qjeFQAAwPOCmZkzZ0ZvTQAAACxgaDYAAIidCcBLliyRRYsWyfnz5+XRo0dO5/bv3++KugEAAERPy8ykSZOkTZs2kj59ejlw4ICULFlSUqdOLWfOnJF33nnHSpEAAADuC2a++uormTZtmkyePFnix48vffr0kXXr1knXrl3l1q1b1moCAADgrmBGu5bKli1r9v38/OT27dtmv2XLljJ//nwrRQIAALgvmMmQIYNcv37d7GfNmlV27txp9gMDA5n1FwAAeH4wU6VKFVm5cqXZ19yZgIAAqV69ujRt2lQaNGjg6joCAAC4djST5suEhYWZ/c6dO5vk3+3bt0vdunWlY8eOVooEAABwXzDz999/Oy1V0KxZM7NpF1NQUJDpegIAAPDYbqYcOXLI1atXIxzXPBo9BwAA4NHBjLbA+Pj4RDh+584dSZgwoSvqBQAA4Ppuph49epj/ayAzYMAASZQokeNcaGio7Nq1SwoXLvwiRQIAALgvmNHZfu0tM4cPHzYT5tnpfqFChaRXr14vVyMAAIDoCmY2btzoGI49ceJESZYs2Ys8HAAAwDNGM82cOdP1NQEAAHDnqtl79+595qrZy5Yts1osAABA9I9mWrBggVmb6fjx4/Ljjz/K48eP5ejRo/Lbb79J8uTJrRQJAADgvmBm5MiRMn78ePnpp59M4q/mz5w4cUKaNGnChHkAAMDzg5nTp09L7dq1zb4GM3fv3jXDtXWNJl3qAAAAwKODmZQpU8rt27fNfubMmeXIkSNm/+bNm3Lv3j3X1hAAAMDVCcAVK1aUdevWSYECBaRx48bSrVs3ky+jx6pWrWqlSAAAAPcFM19++aU8ePDA7H/66acSL148s2p2o0aNpH///tZqAgAAEJ3BjC5lMGzYMEmcOLHpVtLRTMrX11f69u1r5bkBAADclzMzefJks5Ckqly5slkhGwAAwGtaZrJnzy6TJk2SGjVqmLWZduzYYRKBn5VTAwAA4FEtM59//rl89913plVGh2E3aNBA3nrrrQibnrdq9OjRpuzu3bs7jmluTufOnSV16tSSJEkSk5dz5coVy88BAABiaTBTv359uXz5soSEhJiWmZMnT8qNGzcibFa7n/bs2SPffPONFCxY0Om4zl2jk/MtXrxYNm/eLBcvXpSGDRtaeg4AAPDqeeF5ZrR1RFfPzpEjh1m6ILItfEuLzj3zPJqL06JFC5k+fbpT19WtW7dMa9C4ceOkSpUqUqxYMbPIpY6c2rlzZ6RlPXz40ARc4TcAAPDqsjRpXqVKlSRu3LhRWvYgKi012o2kMwpXq1bN6fi+ffvMuk/hj+fLl88smaA5O5EZNWqUU2CVJUuWKP2bAABALApmokq7o6KyaOX+/ftNEPI07dbS5RJSpEjhdDx9+vTmXGT69etnWnTsW1BQ0Ev8CwAAwCs5aZ6raKChswfrzMEJEyZ0SZkJEiQwGwAAiB2itWXmebQbKTg4WIoWLWq6rXTTJF8dAq772gLz6NGjCHk3OpopQ4YMMVZvAADgOWK0ZUbXcTp8+LDTsTZt2pi8mE8++cTku+hSCRs2bDBDspWOojp//ryUKVMmhmoNAAA8SYwGM0mTJpU333zT6Zgul6BzytiPt23b1iylkCpVKkmWLJl06dLFBDKlS5eOoVoDAIBYE8xUqFBB/Pz8XqqM8ePHm/WftGVGh13XrFlTvvrqK5fVEQAAxMJgRkcfafdPgQIFzO0VK1aY+V/8/f1l8ODBZgSS+uWXX1647E2bNjnd1sTgKVOmmA0AAMAlCcAdO3aUU6dOmf0zZ85Is2bNJFGiRGaW3j59+lgpEgAAwH3BjAYyhQsXNvsawOjCkvPmzZNZs2bJ0qVLrdUEAADAXcGMToYXFhZm9tevXy+1atUy+zr66J9//rFSJAAAgPuCmeLFi8vw4cPl+++/N/PC6FIEKjAw0MwNAwAA4NHBzIQJE0wS8Mcffyyffvqp5M6d2xxfsmSJlC1b1tV1BAAAcN1optDQUDMj75YtW5xWuFaff/65xIkT50WLBAAAcF/LjAYrNWrUiLDEgH0YtQ7ZBgAA8OhuJp2dV4dkAwAAeGUwo8m/vXr1klWrVsmlS5ckJCTEaQMAAPDoGYDtQ7Hr1q0rPj4+TkO29bbm1QAAAHhsMLNx40bX1wQAAMBdwUylSpWsPAwAAMAzcmbU1q1b5f333zfzyly4cMEc00n0fv/9d1fWDwAAwPXBjK6/VLNmTfHz8zOT5z18+NAcv3XrlowcOdJKkQAAAO4dzfT111/L9OnTneaVKVeunAluAAAAPDqYOXnypFkp+2nJkyePdDI9AAAAjwpmMmTIIH/99VeE45ovkzNnTlfUCwAAIPqCmfbt20u3bt1k165dZl6Zixcvyg8//GAm0uvUqZOVIgEAANw3NLtv374SFhYmVatWlXv37pkupwQJEphgpkuXLtZqAgAA4K5gRltjPv30U+ndu7fpbrpz5474+/tLkiRJrBQHAADg3m6muXPnmhaZ+PHjmyCmZMmSBDIAAMB7gpmAgABJly6dvPfee/LLL7+wFhMAAPCuYEZXyl6wYIHpbmrSpIlkzJhROnfuLNu3b3d9DQEAAFwdzMSNG1fq1KljRjAFBwfL+PHj5ezZs1K5cmXJlSuXlSIBAADclwAcXqJEiczSBjdu3JBz587J8ePHX7ZIAACA6F9oUhOAtWWmVq1akjlzZpkwYYI0aNBAjh49arVIAAAA97TMNGvWTFatWmVaZTRnZsCAAVKmTBkrRQEAALg/mIkTJ44sWrTIdC/pPgAAgFcFM9q9BAAA4FXBzKRJk6RDhw6SMGFCs/9vunbt6oq6AQAAuC6Y0eHXLVq0MMHMuHHjzBwzkdHjBDMAAMDjgpnAwEDHvs4pAwAA4JVDsx8/fmwmxmM+GQAA4JXBTLx48eTBgwfRUxsAAAB3TJqn6zB99tln8uTJEysPBwAAiNmh2Xv27JENGzbI2rVrpUCBApI4cWKn88uWLXNV/QAAAFwfzKRIkUIaNWpk5aEAAAAxH8zMnDnTtbUAAABw90KTAAAAXtUyU6RIkWdOlPe0/fv3v0ydAAAAXB/M1K9f37GvQ7O/+uor8ff3d6yWvXPnTjl69Kh89NFHUX92AAAAdwUzgwYNcuy3a9fOLFkwbNiwCPcJCgp62ToBAABEb87M4sWLpVWrVhGOv//++7J06VIrRQIAALgvmPHz85Nt27ZFOK7HdCFKAAAAjx6a3b17d+nUqZNJ9C1ZsqQ5tmvXLpkxY4YMGDDA1XUEAABwbTDTt29fyZkzp0ycOFHmzp1rjuXPn9/MP9OkSRMrRQIAALgvmFEatDwvcJk/f77UrVs3wnIHAAAAXjFpXseOHeXKlSvR+RQAACCWi9ZgxmazRWfxAAAALGcAAAC8G8EMAADwagQzAADAqxHMAAAArxatwUy2bNkkXrx40fkUAAAglrMczNy8eVO+/fZb6devn1y/ft0c0xmBL1y44LjPkSNHJEuWLK6pKQAAgKsmzTt06JBUq1ZNkidPLmfPnpX27dtLqlSpZNmyZXL+/HmZM2eOlWIBAADc0zLTo0cP+eCDD+TPP/90WliyVq1asmXLFitFAgAAuC+Y2bNnj5nd92mZM2eWy5cvW6sJAACAu4KZBAkSSEhISITjp06dkrRp01opEgAAwH3BjC4eOXToUHn8+LG57ePjY3JlPvnkE2nUqJG1mgAAALgrmPniiy/kzp07ki5dOrl//75UqlRJcufOLUmTJpURI0ZYKRIAAMB9o5l0FNO6devk999/NyObNLApWrSoGeEEAADg8cGMXfny5c0GAADgVcHMpEmTIj2uuTM6VFu7nCpWrChx4sR52foBAAC4PpgZP368XL16Ve7duycpU6Y0x27cuCGJEiWSJEmSSHBwsOTMmVM2btzIDMAAAMDzEoBHjhwpJUqUMJPmXbt2zWw6LLtUqVIyceJEM7IpQ4YMEhAQ8K/ljBo1ypSjicOaTFy/fn05efKk030ePHggnTt3ltSpU5tASUdLXblyxUq1AQDAK8hSMNO/f3/TOpMrVy7HMe1aGjt2rFmr6bXXXpMxY8bItm3b/rWczZs3m0Bl586dJqFYh3rXqFFD7t6967iPBkQ//fSTLF682Nz/4sWL0rBhQyvVBgAAryBL3UyXLl2SJ0+eRDiux+wzAGfKlElu3779r+WsXr3a6fasWbNMC82+fftMzs2tW7fku+++k3nz5kmVKlXMfWbOnCn58+c3AVDp0qWtVB8AAMT2lpnKlSub5QwOHDjgOKb7nTp1cgQdhw8flhw5crxQuRq8KF20UmlQo6014Yd858uXT7JmzSo7duyItIyHDx+a2YnDbwAA4NVlKZjR1hINOIoVK2aWNtCtePHi5pieU5rfopPrRVVYWJh0795dypUrJ2+++aY5pq088ePHlxQpUjjdN3369M9cA0rzcHQeHPtGAjIAAK82S91MmtyrOS4nTpwwib/q9ddfN1v41psXobkzR44cMRPxvQzN2dFVve20ZYaABgCAV9dLTZqnXT66vayPP/5YVq1aJVu2bDHJw+GDpkePHsnNmzedWmd0NJOei4y9pQgAAMQOloOZv//+W1auXGmGYWvAEd64ceOiVIbNZpMuXbrIjz/+KJs2bYqQY6PdWPHixZMNGzY4FrDUodv6nGXKlLFadQAAENuDGQ0udOVsnRhPu5o0x+Xs2bMmONE1ml6ka0lHKq1YscLMNWPPg9FcFz8/P/P/tm3bmm4jzcdJliyZCX40kGEkEwAAsJwArHkpvXr1MiOWdPmCpUuXSlBQkFk9u3HjxlEuZ+rUqWYE01tvvSUZM2Z0bAsXLnTcR+ezqVOnjmmZ0eHa2r20bNkyrh4AALDeMnP8+HGZP3/+/wqIG1fu379vRi8NHTpU6tWrZ4ZoR4W25DyPBktTpkwxGwAAgEtaZhInTuzIk9GWlNOnTzvO/fPPP1aKBAAAcF/LjOar6BBqnYm3Vq1a0rNnT9PlpN0/5LIAAACPD2Z0tNKdO3fM/pAhQ8y+5rnkyZMnyiOZAAAAYiyY0VFM4bucvv76a5dUBgAAwC05MxrMXLt2LcJxndwufKADAADgkcGMzikTGhoa6SKPFy5ccEW9AAAAXN/NpDP+2q1Zs8ZMamenwY1Oppc9e/YXKRIAAMB9wUz9+vXN/318fKR169ZO53TZAQ1kXmSlbAAAALcGM2FhYeb/uobSnj17JE2aNC9dAQAAALePZgoMDHypJwUAAIjxVbM1P0a34OBgR4uN3YwZM1xRNwAAgOgJZnSiPF2HqXjx4mY5A82hAQAA8JpgRifJmzVrlrRs2dL1NQIAAIjueWZ0kcmyZctaeSgAAEDMBzPt2rWTefPmubYmAAAA7upmevDggUybNk3Wr18vBQsWNHPMhMdikwAAwKODmUOHDknhwoXN/pEjR5zOkQwMAAA8PpjZuHGj62sCAADgrpwZu7/++sus0XT//n1z22azvUxxAAAA7glmrl27JlWrVpW8efNKrVq15NKlS+Z427ZtpWfPnlaKBAAAcF8wExAQYJJ+z58/L4kSJXIcb9q0qaxevdpaTQAAANyVM7N27VrTvfTaa685Hc+TJ4+cO3fOSpEAAADua5m5e/euU4uM3fXr1yVBggTWagIAAOCuYKZChQoyZ84cp+HYutjkmDFjpHLlylaKBAAAcF83kwYtmgC8d+9es7RBnz595OjRo6ZlZtu2bdZqAgAA4K6WmTfffFNOnTol5cuXl3r16plup4YNG8qBAwckV65cVooEAABwX8uMSp48uXz66adWHw4AABBzLTMzZ86UxYsXRziux2bPnu2KegEAAERfMDNq1ChJkyZNhOPp0qWTkSNHWikSAADAfcGMTpaXI0eOCMezZctmzgEAAHh0MKMtMLpy9tMOHjwoqVOndkW9AAAAoi+Yad68uXTt2tWsnh0aGmq23377Tbp16ybNmjWzUiQAAID7RjMNGzZMzp49a+aaiRv3f0XopHmtWrUiZwYAAHh2MGOz2eTy5csya9YsGT58uPzxxx/i5+cnBQoUMDkzAAAAHh/M5M6d28z4qwtL6gYAAOA1OTO+vr4mgLl27Vr01AgAACC6E4BHjx4tvXv3liNHjlh5OAAAQMwmAGui771796RQoUISP358kzMTni44CQAA4LHBzIQJE1xfEwAAAHcFM61bt7byMAAAAM/ImVGnT5+W/v37mwn0goODzbFff/3VjHICAADw6GBm8+bNZl6ZXbt2ybJly+TOnTuO5QwGDRrk6joCAAC4Npjp27evmTBv3bp1JgHYrkqVKrJz504rRQIAALgvmDl8+LA0aNAg0gUo//nnH2s1AQAAcFcwkyJFCrl06VKE4wcOHJDMmTNbKRIAAMB9wYyujP3JJ5+YNZp8fHzMIpPbtm2TXr16mTloAAAAPDqY0ZWx8+XLJ1myZDHJv/7+/lKhQgUpW7asGeEEAADg0fPMaNLv9OnTZeDAgSZ/5u7du1KkSBGzACUAAIDHBzPqu+++k/Hjx8uff/5pbuvik927d5d27dq5sn4AAACuD2a0RWbcuHHSpUsXKVOmjDm2Y8cOCQgIkPPnz8vQoUOtFAsAAOCeYGbq1Kmmm0ln/7WrW7euFCxY0AQ4BDMAAMCjE4AfP34sxYsXj3C8WLFi8uTJE1fUCwAAIPqCmZYtW5rWmadNmzZNWrRoYaVIAAAA9ycAr127VkqXLm1u6zpNmi+j88z06NHDcT/NrQEAAPCoYObIkSNStGhRx+rZKk2aNGbTc3Y6oR4AAIDHBTMbN250fU0AAADclTMDAADgKQhmAACAVyOYAQAAXo1gBgAAeDWCGQAA4NUIZgAAgFcjmAEAAF6NYAYAAHg1ghkAAODVCGYAAIBX84pgZsqUKZI9e3ZJmDChlCpVSnbv3h3TVQIAAB7C44OZhQsXmlW4Bw0aJPv375dChQpJzZo1JTg4OKarBgAAPIDHBzPjxo2T9u3bS5s2bcTf31++/vprSZQokcyYMSOmqwYAALx11Wx3efTokezbt0/69evnOObr6yvVqlWTHTt2RPqYhw8fms3u1q1b5v8hISFRft7Qh/dfqt5wrRe5dlZwvT0L1zt24XrHLiEvcL3t97XZbM+/s82DXbhwQf8Ftu3btzsd7927t61kyZKRPmbQoEHmMWxsbGxsbGzi9VtQUNBz4wWPbpmxQltxNMfGLiwsTK5fvy6pU6cWHx8fiS00os2SJYsEBQVJsmTJYro6iGZc79iF6x27xNbrbbPZ5Pbt25IpU6bn3tejg5k0adJInDhx5MqVK07H9XaGDBkifUyCBAnMFl6KFCkkttIXfmx68cd2XO/Yhesdu8TG6508eXLvTwCOHz++FCtWTDZs2ODU0qK3y5QpE6N1AwAAnsGjW2aUdhm1bt1aihcvLiVLlpQJEybI3bt3zegmAAAAjw9mmjZtKlevXpWBAwfK5cuXpXDhwrJ69WpJnz59TFfNo2lXm87N83SXG15NXO/Yhesdu3C9n89Hs4CjcD8AAACP5NE5MwAAAM9DMAMAALwawQwAAPBqBDMe7K233pLu3bv/6310NXEd4YXY54MPPpD69evHdDXgRps2bTKTf968eTOmqwJ4FIKZGPgC0g+j//73vxHOde7c2ZzT+6hly5bJsGHDxFNpXZcvXx7T1fCo6zp69Gin4/r3edmZp8+ePWvK+OOPP8TTxNaASkdYdurUSbJmzWpGmOgknjVr1pRt27a59cdMTCCgenG6QHLSpEnlyZMnjmN37tyRePHimesc2d/39OnTr+RnRnQhmIkBOi31ggUL5P79/78A2oMHD2TevHnmw9EuVapU5g0A75AwYUL57LPP5MaNGy5dbBWep1GjRnLgwAGZPXu2nDp1SlauXGm+lK5duxbTVYMHqly5sgle9u7d6zi2detWEwTv2rXLfP7bbdy40XwP5MqVK4Zq650IZmJA0aJFTUCjLS92uq8v4CJFijzzl1lwcLC8++674ufnJzly5JAffvjBqdxevXpJnTp1HLe1+0mjc52Xxy537tzy7bffOm7rfv78+c0Xcb58+eSrr75y+iL9+OOPJWPGjOZ8tmzZZNSoUY7uLdWgQQPzHPbbsZmu5q4fTva/UWSWLl0qb7zxhvk1r3+zL774wum8HtPWuFatWplpyzt06GCutdLXhv6tn/4lN3bsWHONdP0xbd17/Pix45yuIK+vi8yZM0vixImlVKlS5pefnX75Nm/e3JxPlCiRFChQQObPn+9U/pIlS8xxfd3pc+i/UyeuHDx4sPkyX7FihamXbuHLflVpi4R+EWngql9S+r7QCT11Xbi6deua+5w/f17q1asnSZIkMdexSZMmTsuyRNaipe91+7XV85s3b5aJEyc6/rb6a9tu3759ZiJRvWZly5aVkydPOpWl10Q/Z/R9mzNnThkyZIhTq8C4cePMNdXXhH4WffTRR+bL1u7cuXPmsyZlypTmPvqa/eWXX0wd9N+s9Fz4lmQ82+uvv27eo+HfH7qvrxF9f+/cudPpuP6NdbZ7/SzR8/reK1SokHkv2umPphYtWkjatGnN+Tx58sjMmTPNued9ZrySXLXCNaKmdevWtnr16tnGjRtnq1q1quO47o8fP96c0/uoSpUq2bp16+a4zzvvvGMrVKiQbceOHba9e/faypYta/Pz8zOPUytXrrQlT57c9uTJE3O7fv36tjRp0tg++eQTc/vvv/82K5D++eef5vbcuXNtGTNmtC1dutR25swZ8/9UqVLZZs2aZc5//vnntixZsti2bNliO3v2rG3r1q22efPmmXPBwcGmrJkzZ9ouXbpkbsdm9uu6bNkyW8KECR2rvP7444/m76T0mvn6+tqGDh1qO3nypPnb6fXT/9tly5bNlixZMtvYsWNtf/31l9l2795tyli/fr35W1+7ds3xnHrf//73v7bjx4/bfvrpJ1uiRIls06ZNc5TXrl078zrRa6hl6TVNkCCB7dSpU47XhB47cOCA7fTp07ZJkybZ4sSJY9u1a5c5f/HiRVvcuHHN6zUwMNB26NAh25QpU2y3b982W5MmTWxvv/22qZduDx8+tL3qHj9+bEuSJImte/futgcPHkQ4HxoaaitcuLCtfPny5prv3LnTVqxYMfN+fvr1Ep6+1+33uXnzpq1MmTK29u3bO/62+r7euHGjeS2UKlXKtmnTJtvRo0dtFSpUMNfYTq+1vi70fazXdO3atbbs2bPbBg8e7LiPfmb89ttv5ppu2LDB9vrrr9s6derkOF+7dm1b9erVzfXWMvS1tXnzZlMH/ZzQOuhrWOuldcXzvffee7YaNWo4bpcoUcK2ePFi8/4dOHCgOXbv3j3z/tRrN3z4cFu+fPlsq1evNtdAPyf0nF531blzZ/M627Nnj7mO69atM98B6lmfGa8yghk3s3+I6Ze/vjA1SNBNvwCvXr36zGBGPzj0xakvUjv9AtNj9mDmxo0b5stSX9xhYWEmMBk1apT54LMHL5kzZ3Y8PleuXI7gxG7YsGHmQ1R16dLFVqVKFVNWZPS59csazl9OpUuXtn344YcRghn9MNMviPB69+5t8/f3dwpmNAgNTz+otAwNOJ5+Tr2/PXhVjRs3tjVt2tTsnzt3zgQmFy5ccHqcBs79+vV75r9Fv8h69uxp9vft22eeW1+jz/t3xyZLliyxpUyZ0rxvNZDQv+fBgwfNOQ0e9O9+/vx5x/016Aj//n1eMBPZjxllD2b0S8ru559/Nsfu37/vuL4jR450etz3339vfrg8i36ppk6d2nG7QIECTsFPZHXQzxtE3fTp022JEyc2wXBISIj5kaDfA/oZXLFiRXMfDSzt7zf9YbJ9+3anMtq2bWtr3ry52X/33Xdtbdq0ifS5Ap/xmfEq8/jlDF5V2jRYu3ZtmTVrllnmXPd1lfBnOX78uMSNG9csvGmn3ULhVwTXfW2K1GZKXaRTN+2m0GmwtQlZm60rVapk7qvdBJpg1rZtW2nfvr2jDG2Ktq9Sqs3H1atXN02kb7/9tunCqlGjRjT9RV4d2v1QpUoV073z9DXUZuXwypUrZ7oDQ0NDzQrxSrsPokqb/+2PU9qUffjwYbOv/9dy8+bN6/QY7XrS7iKl50eOHCmLFi2SCxcumK5FPa/dF0pfT1WrVjVdEprgqtf/P//5j+liiO05M/qe1e4m7SL49ddfZcyYMabbNiQkxHTd6Gbn7+9v3p/6GihRosRLP3/BggWdrrm9G1q7qg8ePGgSkUeMGOG4j15nzcu4d++eubbr1683XRgnTpww9dX3ffjzXbt2NQnOa9euNd2K+u8N/5x4cdrVo5+7e/bsMV1E+r7U7wH9TNa1BvXvr5/d2i2on9d6LfTzNzx9f9pTEfT66HXZv3+/eV9qt6V2OcZWBDMx6MMPPzQ5KWrKlCkue8PoG0JzMvRNoknEmhPz+++/m2CmZ8+e5n72/vHp06ebPIrw7F+O2uceGBhoPqj1w0/7/fWDLXy/LSKqWLGi+eLXHAor+QSaoxBVOhoiPO0f1752+zXWa6n5FeEDHqW5HOrzzz83eRkaUNlzKDR3w554rI9bt26dbN++3XyxTZ48WT799FOTtGjvl4+tNB9Fv2x0GzBggLRr1878cLC/x/6Nr6+v+RETXvhcpxe57vbRcuGvu+bINGzYMNI6a96L/jDRL0MNePQzQj8f9IeNXncNZvTfoq/hn3/+2Vx3DXw0v6tLly5RriOcab7ia6+9ZhJ8NZix/7DMlCmTCXz1Pabn9IeQ/fNZ//6azxaefX2md955x+Q2aS7TunXrzI8OzZnTHLrYiGAmBmlrh3546IeRfnD8G22F0V9P+sVk/2WnSX9PD4/UN8iMGTNMK46Wbw9wNKlTR13YE8F0oU59E505c8YkkT2LJi/qYp+66S9yLfP69evmA1A/UPUXHyLSIdq6KKq2atlpUPn00F29rb/Qng42wtMWNvWif2v9BaeP0V/sFSpUiPQ++vzaWvT+++87vhD1daItCXb6+tQWJN10wVdNeP3xxx/NivZaN14D/6N/Mx2Kr9c5KCjIbPbWmWPHjpn3qv3vqr/Ijxw54vR4HUYbPkix+rfVHyH62aBfnpHRzxC9zhqcaFCltGXuaVp3nUJCNw3M9YePBjNWX4/436gm/bGpwUzv3r2dfgDpj8bdu3ebIFNfJxq0aCK5PeiJjL6OWrdubTZ9j2uZGszExmtEMBOD9AtMm53t+//G3tXTsWNHmTp1qglW9Be0ZrGHp2+K27dvy6pVqxxznmgAo4GINkeH73LQX2/anKzdSlq2di/o0EF9o+kXlY540Mfol6J+6C1evNiM1rF3benImw0bNpgvOX3jxfauh/C0lUODxEmTJjmO6S92DUR1tJIGhzt27JAvv/zSaQRZZNKlS2eus45K0192+uva3hX4b/Raax10ZJR+cel11PlR9Jppl4F2k+gICG1p01+Fev30muuoG/uXrrbA6P21GVvrobe1DP3Ctr8G1qxZY748tetK6/V0a9GrRkeANW7c2LSs6t9Rp0/Q9412M2lgqK2X9uuvLV76I0RHC+mXkr0LUX99a6vYnDlzpEyZMjJ37lwT3IQfzah/W/17a0uKtqTpD4io0IBTW160y0nf9/re1a4nLX/48OEmyNFWIG1l0xFLGtDqPCjh6WeL/vLX15B+HmiLgf2aazCrAa5+xtSqVcu8Nu0tfXh+MGMfcRg+SNF9baXXH7d6H31NaTd1QECACTzLly8vt27dMtdKf2Bq8KLXWdMOtKv54cOH5nrYr5HVzwyvFtNJO7HN8xIm/200k2ala3KmJg5nzZrVNmfOHJMAak8AttMRTxkyZHDc1kx2Hx8fW7NmzSI83w8//GAy4uPHj28SGjURTUfkKB0Vo+c0aU1HR2hi4f79+x2P1cz53Llzm0Q2rUdsFtl11SQ8/buGf5tp4qgm/MaLF89cQx1JFF5k19OePKgjyzTB254kGpUk0kePHpmREjqaRZ9Tk0AbNGhgRqnYXxtaho7OSZcuna1///62Vq1aOco9duyYrWbNmra0adOa113evHltkydPdpSvCYya1KyP13+nJoe+6nQEU9++fW1FixY1owc1UVNHA+nfTkej2JOv69ata947SZMmNYnZly9fdipHr0v69OlNGQEBAbaPP/7Y6dpp0r8mk+uIN/3b6uspsuRbTfK0n7fTETD20Y763i1ZsqTTKDcdnaavBT2v11c/S8KXq3XRAQJ6zfXat2zZ0vbPP/84Hq8j8vQzRj9X7J9XeD57Yq6OUgpPE371uL6O7HTgxYQJE8wxfe/qddBrpaPK7IM18ufPb65hqlSpzHtWR6X+22fGq8xH/xPTARUAAIBVTJoHAAC8GsEMAADwagQzAADAqxHMAAAAr0YwAwAAvBrBDAAA8GoEMwAAwKsRzAAAAK9GMAPA6+nU/7p0AIDYiRmAAXg9XS9KV/zWFZ8BxD4EMwBijC6sZ1/hFwCsopsJgNvoCu66OrCuypwmTRqpWbOmWc1ZV2jWlZfTp08vLVu2lH/++cfxGF0FXleg1pYXXcV9/Pjxphwt41ndTOfPnzcrWGuZuspwkyZNzGrgdoMHD5bChQvL999/bx6rKwo3a9bMPBcA70MwA8CtZs+ebVpjtm3bJqNHj5YqVapIkSJFZO/evbJ69WoTdGjwYdejRw9z35UrV8q6detk69atsn///meWHxYWZgKZ69evy+bNm81jzpw5I02bNnW63+nTp2X58uWyatUqs+l9tT4AvE/cmK4AgNglT548MmbMGLM/fPhwE8iMHDnScX7GjBmSJUsWOXXqlGmJ0eBn3rx5UrVqVXN+5syZkilTpmeWv2HDBjl8+LAEBgaactScOXPkjTfekD179kiJEiUcQc+sWbMkadKk5ra2COljR4wYEa3/fgCuRzADwK2KFSvm2D948KBs3LjRdAc9TVtO7t+/L48fP5aSJUs6jmuX0Ouvv/7M8o8fP26CGHsgo/z9/SVFihTmnD2Y0e4leyCjNHAKDg52yb8RgHsRzABwK819sbtz5468++678tlnn0W4nwYXf/31V7TVI168eE63fXx8TGsNAO9DzgyAGFO0aFE5evSoaSXJnTu306ZBT86cOU3Qod1Ddrdu3TJdUM+SP39+CQoKMpvdsWPH5ObNm6aFBsCrh2AGQIzp3LmzSdRt3ry5CVi0a2nNmjXSpk0bCQ0NNd1ArVu3lt69e5vuKA182rZtK76+vqYlJTLVqlWTAgUKmBFQmii8e/duadWqlVSqVEmKFy/u9n8jgOhHMAMgxmgir45U0sClRo0aJgjRIdea36IBixo3bpyUKVNG6tSpYwKVcuXKmdaXhAkTRlqmBjkrVqyQlClTSsWKFc1jtIVn4cKFbv7XAXAXJs0D4FXu3r0rmTNnli+++MK00gAACcAAPNqBAwfkxIkTZkST5ssMHTrUHNe5ZABAEcwA8Hhjx46VkydPmsn2dGi3TpynMwgDgKKbCQAAeDUSgAEAgFcjmAEAAF6NYAYAAHg1ghkAAODVCGYAAIBXI5gBAABejWAGAAB4NYIZAAAg3uz/AaYdcn0StwhiAAAAAElFTkSuQmCC",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -717,12 +723,20 @@
     "sns.barplot(data=region_mean, x=\"region\", y=\"percentage_drivers_fatal_no_previous_accidents\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "8f0aafcf-d9d4-4840-be7f-6e84d97efbcf",
+   "metadata": {},
+   "source": [
+    "After looking at the two bar graphs about the percentage of drivers involved in fatal collisions who were not distracted and the percentage of drivers involved in fatal collisions who had not been involved in any previous accidents, it seems that the Midwest region has the highest percentage in Fatal Collisions Who Were Not Distracted and the West region had more drivers in Fatal Collisions Who Had Not Been Involved In Any Previous Accidents both categories."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "d66967db-fe78-4889-824e-f7bce4e02cc8",
    "metadata": {},
    "source": [
-    "## Fourth Research Question: Is there a connection between the average Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding and the region with the most expensive car insurance premiums?"
+    "## Fourth Research Question: Is there a connection between the average Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding and the Number of drivers involved in fatal collisions per billion miles?"
    ]
   },
   {
@@ -750,7 +764,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 35,
    "id": "b921b74c-951a-4f30-a42e-292f011fd61a",
    "metadata": {},
    "outputs": [
@@ -776,7 +790,7 @@
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>percentage_drivers_fatal_speeding</th>\n",
-       "      <th>car_insurance_premiums</th>\n",
+       "      <th>number_drivers_fatal_billion_miles</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>region</th>\n",
@@ -788,56 +802,57 @@
        "    <tr>\n",
        "      <th>Midwest</th>\n",
        "      <td>27.166667</td>\n",
-       "      <td>756.630833</td>\n",
+       "      <td>15.558333</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Northeast</th>\n",
-       "      <td>32.444444</td>\n",
-       "      <td>975.038889</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>Northwest</th>\n",
-       "      <td>39.333333</td>\n",
-       "      <td>1160.163333</td>\n",
+       "      <td>34.166667</td>\n",
+       "      <td>12.225000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>Southeast</th>\n",
        "      <td>27.687500</td>\n",
-       "      <td>905.472500</td>\n",
+       "      <td>19.200000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>West</th>\n",
        "      <td>39.909091</td>\n",
-       "      <td>855.624545</td>\n",
+       "      <td>14.972727</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "           percentage_drivers_fatal_speeding  car_insurance_premiums\n",
-       "region                                                              \n",
-       "Midwest                            27.166667              756.630833\n",
-       "Northeast                          32.444444              975.038889\n",
-       "Northwest                          39.333333             1160.163333\n",
-       "Southeast                          27.687500              905.472500\n",
-       "West                               39.909091              855.624545"
+       "           percentage_drivers_fatal_speeding  \\\n",
+       "region                                         \n",
+       "Midwest                            27.166667   \n",
+       "Northeast                          34.166667   \n",
+       "Southeast                          27.687500   \n",
+       "West                               39.909091   \n",
+       "\n",
+       "           number_drivers_fatal_billion_miles  \n",
+       "region                                         \n",
+       "Midwest                             15.558333  \n",
+       "Northeast                           12.225000  \n",
+       "Southeast                           19.200000  \n",
+       "West                                14.972727  "
       ]
      },
-     "execution_count": 27,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "region = df.groupby(\"region\")\n",
-    "region_speed_insur = region[[\"percentage_drivers_fatal_speeding\", \"car_insurance_premiums\"]].mean().sort_values(\"region\")\n",
+    "region_speed_insur = region[[\"percentage_drivers_fatal_speeding\", \"number_drivers_fatal_billion_miles\"]].mean().sort_values(\"region\")\n",
     "region_speed_insur"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 36,
    "id": "c242ede2-9440-4d49-8967-e6dfce650ec1",
    "metadata": {},
    "outputs": [
@@ -847,13 +862,13 @@
        "<Axes: xlabel='region', ylabel='percentage_drivers_fatal_speeding'>"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -868,23 +883,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 37,
    "id": "c8079c91-3eb2-4dfd-88c0-53f8a81c9892",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<Axes: xlabel='region', ylabel='car_insurance_premiums'>"
+       "<Axes: xlabel='region', ylabel='number_drivers_fatal_billion_miles'>"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -894,7 +909,15 @@
     }
    ],
    "source": [
-    "sns.barplot(data=region_speed_insur, x=\"region\", y=\"car_insurance_premiums\")"
+    "sns.barplot(data=region_speed_insur, x=\"region\", y=\"number_drivers_fatal_billion_miles\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "98b34885-aa61-4950-a951-6fb131fc2b99",
+   "metadata": {},
+   "source": [
+    "Comparing these two plots, it seems that there is no connection between the average Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding and the Number of drivers involved in fatal collisions per billion miles. What we did learn is that the West region has the highest speeding-related fatal collisions, and the Southeast has the highest number of fatal collisions per billion miles."
    ]
   },
   {
@@ -924,10 +947,12 @@
     "Consider the following:*\n",
     "\n",
     "- *Do the results give an accurate depiction of your research question? Why or why not?*\n",
-    "- *What were limitations of your datset?*\n",
+    "- *What were the limitations of your dataset?*\n",
     "- *Are there any known biases in the data?*\n",
     "\n",
-    "✏️ *Write your answer below:*"
+    "✏️ *Write your answer below:*\n",
+    "\n",
+    "I believe that the results do give an accurate depiction of my research question because it takes 6 different causes of fatal collisions and averages them between the 5 regions of the USA. The limitations of the dataset are that it isn't up to date. The data was collected between 2009 and 2012, and some of the collisions are from different years in that time frame. Some biases that could be in this data are how they determined if someone was Alcohol-Impaired, the weather in each region, the maintenance of the roads, and the population."
    ]
   },
   {
@@ -938,6 +963,146 @@
     "## Summary"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "dc9fd133-418b-4f32-b1f6-0efd3578051b",
+   "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>number_drivers_fatal_billion_miles</th>\n",
+       "      <th>percentage_drivers_fatal_speeding</th>\n",
+       "      <th>percentage_drivers_fatal_alcohol_impaired</th>\n",
+       "      <th>percentage_drivers_fatal_not_distracted</th>\n",
+       "      <th>percentage_drivers_fatal_no_previous_accidents</th>\n",
+       "      <th>car_insurance_premiums</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>region</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Midwest</th>\n",
+       "      <td>15.558333</td>\n",
+       "      <td>27.166667</td>\n",
+       "      <td>31.666667</td>\n",
+       "      <td>88.833333</td>\n",
+       "      <td>86.666667</td>\n",
+       "      <td>756.630833</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Northeast</th>\n",
+       "      <td>12.225000</td>\n",
+       "      <td>34.166667</td>\n",
+       "      <td>31.333333</td>\n",
+       "      <td>88.666667</td>\n",
+       "      <td>87.250000</td>\n",
+       "      <td>1021.320000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Southeast</th>\n",
+       "      <td>19.200000</td>\n",
+       "      <td>27.687500</td>\n",
+       "      <td>29.687500</td>\n",
+       "      <td>83.000000</td>\n",
+       "      <td>89.312500</td>\n",
+       "      <td>905.472500</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>West</th>\n",
+       "      <td>14.972727</td>\n",
+       "      <td>39.909091</td>\n",
+       "      <td>30.363636</td>\n",
+       "      <td>84.000000</td>\n",
+       "      <td>91.727273</td>\n",
+       "      <td>855.624545</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "           number_drivers_fatal_billion_miles  \\\n",
+       "region                                          \n",
+       "Midwest                             15.558333   \n",
+       "Northeast                           12.225000   \n",
+       "Southeast                           19.200000   \n",
+       "West                                14.972727   \n",
+       "\n",
+       "           percentage_drivers_fatal_speeding  \\\n",
+       "region                                         \n",
+       "Midwest                            27.166667   \n",
+       "Northeast                          34.166667   \n",
+       "Southeast                          27.687500   \n",
+       "West                               39.909091   \n",
+       "\n",
+       "           percentage_drivers_fatal_alcohol_impaired  \\\n",
+       "region                                                 \n",
+       "Midwest                                    31.666667   \n",
+       "Northeast                                  31.333333   \n",
+       "Southeast                                  29.687500   \n",
+       "West                                       30.363636   \n",
+       "\n",
+       "           percentage_drivers_fatal_not_distracted  \\\n",
+       "region                                               \n",
+       "Midwest                                  88.833333   \n",
+       "Northeast                                88.666667   \n",
+       "Southeast                                83.000000   \n",
+       "West                                     84.000000   \n",
+       "\n",
+       "           percentage_drivers_fatal_no_previous_accidents  \\\n",
+       "region                                                      \n",
+       "Midwest                                         86.666667   \n",
+       "Northeast                                       87.250000   \n",
+       "Southeast                                       89.312500   \n",
+       "West                                            91.727273   \n",
+       "\n",
+       "           car_insurance_premiums  \n",
+       "region                             \n",
+       "Midwest                756.630833  \n",
+       "Northeast             1021.320000  \n",
+       "Southeast              905.472500  \n",
+       "West                   855.624545  "
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "region = df.groupby(\"region\")\n",
+    "region_collision = region[[\"number_drivers_fatal_billion_miles\", \"percentage_drivers_fatal_speeding\", \"percentage_drivers_fatal_alcohol_impaired\", \"percentage_drivers_fatal_not_distracted\", \"percentage_drivers_fatal_no_previous_accidents\", \"car_insurance_premiums\"]].mean().sort_values(\"region\")\n",
+    "region_collision"
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "about-raise",
@@ -950,8 +1115,22 @@
     "- *What was most surprising?*\n",
     "- *How will this project impact you going forward?*\n",
     "\n",
-    "✏️ *Write your answer below:*"
+    "✏️ *Write your answer below:*\n",
+    "\n",
+    "Through my research on the five deadliest regions to drive in across America, I discovered how much my media consumption shapes what I believe about road safety. I realized that I tend to rely on quick social media clips or headlines that focus on shocking accidents instead of looking at real data or credible reports. Once I analyzed official statistics and news articles, I noticed how different the reality was from what I often see online.\n",
+    "\n",
+    "It was surprising to find that the West and Midwest regions both were the highest for 2 out of the six fatal collision categories. Especially since the Midwest is a less populated area than the other regions. \n",
+    "\n",
+    "This project made me more aware of how easily digital content can oversimplify serious issues. Going forward, I’ll be more intentional about checking sources, looking at data before forming opinions, and being more cautious when driving or traveling in high-risk regions. It reminded me that media can influence not just what we think, but how safely we act in real life."
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "16df71b2-5dc7-4602-9c08-3236dcd4c06f",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/data/Bad_Driver - bad-drivers.csv b/data/B_D2 - bad-drivers.csv
similarity index 76%
rename from data/Bad_Driver - bad-drivers.csv
rename to data/B_D2 - bad-drivers.csv
index 066db1b..e79e54b 100644
--- a/data/Bad_Driver - bad-drivers.csv	
+++ b/data/B_D2 - bad-drivers.csv	
@@ -1,13 +1,13 @@
-State,Number of drivers involved in fatal collisions per billion miles,Percentage Of Drivers Involved In Fatal Collisions Who Were Speeding,Percentage Of Drivers Involved In Fatal Collisions Who Were Alcohol-Impaired,Percentage Of Drivers Involved In Fatal Collisions Who Were Not Distracted,Percentage Of Drivers Involved In Fatal Collisions Who Had Not Been Involved In Any Previous Accidents,Car Insurance Premiums ($),Region
+State,number_drivers_fatal_billion_miles,percentage_drivers_fatal_speeding,percentage_drivers_fatal_alcohol_impaired,percentage_drivers_fatal_not_distracted,percentage_drivers_fatal_no_previous_accidents,car_insurance_premiums,region
 Alabama,18.8,39,30,96,80,784.55,Southeast
 Alaska,18.1,41,25,90,94,1053.48,West
 Arizona,18.6,35,28,84,96,899.47,Southeast
 Arkansas,22.4,18,26,94,95,827.34,Southeast
 California,12,35,28,91,89,878.41,West
 Colorado,13.6,37,28,79,95,835.5,West
-Connecticut,10.8,46,36,87,82,1068.73,Northwest
-Delaware,16.2,38,30,87,99,1137.87,Northwest
-District of Columbia,5.9,34,27,100,100,1273.89,Northwest
+Connecticut,10.8,46,36,87,82,1068.73,Northeast
+Delaware,16.2,38,30,87,99,1137.87,Northeast
+District of Columbia,5.9,34,27,100,100,1273.89,Northeast
 Florida,17.9,21,29,92,94,1160.13,Southeast
 Georgia,15.6,19,25,95,93,913.15,Southeast
 Hawaii,17.5,54,41,82,87,861.18,West