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-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Exploratory Data Analysis\n",
-    "\n",
-    "The first phase of any data science project is exploratory data analysis. This involves getting to know the important features of the data. During this process, be open to accepting unexpected features.\n",
-    "* The data types in columns \n",
-    "* The granularity of data in rows\n",
-    "* Distributions of quantitative data and measurements such as center and spread.\n",
-    "* Relationships between values and items in the dataset."
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Locating and Downloading Datasets\n",
-    "\n",
-    "With the advent of data driven technologies, data science datasets are becoming more accessible, larger, and more specific. In this notebook, we're focusing on two datasets, both obtained from kaggle. You can find a large range of other data science datasets on these website:\n",
-    "* www.kaggle.com/datasets\n",
-    "* azure.microsoft.com/en-au/services/open-datasets\n",
-    "* archive.ics.uci.edu/ml/datasets.php\n",
-    "* en.wikipedia.org/wiki/List_of_datasets_for_machine-learning_research"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "%matplotlib inline\n",
-    "import matplotlib.pyplot as plt\n",
-    "\n",
-    "def load_data(DATASET_PATH):\n",
-    "    return pd.read_csv(DATASET_PATH)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Dataset 1: World Happiness Report up to 2020\n",
-    "You can access this dataset here: www.kaggle.com/mathurinache/world-happiness-report \n",
-    "> This is an example of a dataset that is:\n",
-    "* High quality\n",
-    "* Numerical"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "DATASET_PATH = './datasets/happiness/2015.csv'\n",
-    "\n",
-    "#create pandas object\n",
-    "happiness = load_data(DATASET_PATH)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "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>Country</th>\n",
-       "      <th>Region</th>\n",
-       "      <th>Happiness Rank</th>\n",
-       "      <th>Happiness Score</th>\n",
-       "      <th>Standard Error</th>\n",
-       "      <th>Economy (GDP per Capita)</th>\n",
-       "      <th>Family</th>\n",
-       "      <th>Health (Life Expectancy)</th>\n",
-       "      <th>Freedom</th>\n",
-       "      <th>Trust (Government Corruption)</th>\n",
-       "      <th>Generosity</th>\n",
-       "      <th>Dystopia Residual</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Switzerland</td>\n",
-       "      <td>Western Europe</td>\n",
-       "      <td>1</td>\n",
-       "      <td>7.587</td>\n",
-       "      <td>0.03411</td>\n",
-       "      <td>1.39651</td>\n",
-       "      <td>1.34951</td>\n",
-       "      <td>0.94143</td>\n",
-       "      <td>0.66557</td>\n",
-       "      <td>0.41978</td>\n",
-       "      <td>0.29678</td>\n",
-       "      <td>2.51738</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>Iceland</td>\n",
-       "      <td>Western Europe</td>\n",
-       "      <td>2</td>\n",
-       "      <td>7.561</td>\n",
-       "      <td>0.04884</td>\n",
-       "      <td>1.30232</td>\n",
-       "      <td>1.40223</td>\n",
-       "      <td>0.94784</td>\n",
-       "      <td>0.62877</td>\n",
-       "      <td>0.14145</td>\n",
-       "      <td>0.43630</td>\n",
-       "      <td>2.70201</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>Denmark</td>\n",
-       "      <td>Western Europe</td>\n",
-       "      <td>3</td>\n",
-       "      <td>7.527</td>\n",
-       "      <td>0.03328</td>\n",
-       "      <td>1.32548</td>\n",
-       "      <td>1.36058</td>\n",
-       "      <td>0.87464</td>\n",
-       "      <td>0.64938</td>\n",
-       "      <td>0.48357</td>\n",
-       "      <td>0.34139</td>\n",
-       "      <td>2.49204</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>Norway</td>\n",
-       "      <td>Western Europe</td>\n",
-       "      <td>4</td>\n",
-       "      <td>7.522</td>\n",
-       "      <td>0.03880</td>\n",
-       "      <td>1.45900</td>\n",
-       "      <td>1.33095</td>\n",
-       "      <td>0.88521</td>\n",
-       "      <td>0.66973</td>\n",
-       "      <td>0.36503</td>\n",
-       "      <td>0.34699</td>\n",
-       "      <td>2.46531</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Canada</td>\n",
-       "      <td>North America</td>\n",
-       "      <td>5</td>\n",
-       "      <td>7.427</td>\n",
-       "      <td>0.03553</td>\n",
-       "      <td>1.32629</td>\n",
-       "      <td>1.32261</td>\n",
-       "      <td>0.90563</td>\n",
-       "      <td>0.63297</td>\n",
-       "      <td>0.32957</td>\n",
-       "      <td>0.45811</td>\n",
-       "      <td>2.45176</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "       Country          Region  Happiness Rank  Happiness Score  \\\n",
-       "0  Switzerland  Western Europe               1            7.587   \n",
-       "1      Iceland  Western Europe               2            7.561   \n",
-       "2      Denmark  Western Europe               3            7.527   \n",
-       "3       Norway  Western Europe               4            7.522   \n",
-       "4       Canada   North America               5            7.427   \n",
-       "\n",
-       "   Standard Error  Economy (GDP per Capita)   Family  \\\n",
-       "0         0.03411                   1.39651  1.34951   \n",
-       "1         0.04884                   1.30232  1.40223   \n",
-       "2         0.03328                   1.32548  1.36058   \n",
-       "3         0.03880                   1.45900  1.33095   \n",
-       "4         0.03553                   1.32629  1.32261   \n",
-       "\n",
-       "   Health (Life Expectancy)  Freedom  Trust (Government Corruption)  \\\n",
-       "0                   0.94143  0.66557                        0.41978   \n",
-       "1                   0.94784  0.62877                        0.14145   \n",
-       "2                   0.87464  0.64938                        0.48357   \n",
-       "3                   0.88521  0.66973                        0.36503   \n",
-       "4                   0.90563  0.63297                        0.32957   \n",
-       "\n",
-       "   Generosity  Dystopia Residual  \n",
-       "0     0.29678            2.51738  \n",
-       "1     0.43630            2.70201  \n",
-       "2     0.34139            2.49204  \n",
-       "3     0.34699            2.46531  \n",
-       "4     0.45811            2.45176  "
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "#you can change the number in the brackets to increase/decrease how much data is shown\n",
-    "happiness.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'pandas.core.frame.DataFrame'>\n",
-      "RangeIndex: 158 entries, 0 to 157\n",
-      "Data columns (total 12 columns):\n",
-      "Country                          158 non-null object\n",
-      "Region                           158 non-null object\n",
-      "Happiness Rank                   158 non-null int64\n",
-      "Happiness Score                  158 non-null float64\n",
-      "Standard Error                   158 non-null float64\n",
-      "Economy (GDP per Capita)         158 non-null float64\n",
-      "Family                           158 non-null float64\n",
-      "Health (Life Expectancy)         158 non-null float64\n",
-      "Freedom                          158 non-null float64\n",
-      "Trust (Government Corruption)    158 non-null float64\n",
-      "Generosity                       158 non-null float64\n",
-      "Dystopia Residual                158 non-null float64\n",
-      "dtypes: float64(9), int64(1), object(2)\n",
-      "memory usage: 14.9+ KB\n"
-     ]
-    }
-   ],
-   "source": [
-    "happiness.info()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "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>Happiness Rank</th>\n",
-       "      <th>Happiness Score</th>\n",
-       "      <th>Standard Error</th>\n",
-       "      <th>Economy (GDP per Capita)</th>\n",
-       "      <th>Family</th>\n",
-       "      <th>Health (Life Expectancy)</th>\n",
-       "      <th>Freedom</th>\n",
-       "      <th>Trust (Government Corruption)</th>\n",
-       "      <th>Generosity</th>\n",
-       "      <th>Dystopia Residual</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>count</th>\n",
-       "      <td>158.000000</td>\n",
-       "      <td>158.000000</td>\n",
-       "      <td>158.000000</td>\n",
-       "      <td>158.000000</td>\n",
-       "      <td>158.000000</td>\n",
-       "      <td>158.000000</td>\n",
-       "      <td>158.000000</td>\n",
-       "      <td>158.000000</td>\n",
-       "      <td>158.000000</td>\n",
-       "      <td>158.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mean</th>\n",
-       "      <td>79.493671</td>\n",
-       "      <td>5.375734</td>\n",
-       "      <td>0.047885</td>\n",
-       "      <td>0.846137</td>\n",
-       "      <td>0.991046</td>\n",
-       "      <td>0.630259</td>\n",
-       "      <td>0.428615</td>\n",
-       "      <td>0.143422</td>\n",
-       "      <td>0.237296</td>\n",
-       "      <td>2.098977</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>std</th>\n",
-       "      <td>45.754363</td>\n",
-       "      <td>1.145010</td>\n",
-       "      <td>0.017146</td>\n",
-       "      <td>0.403121</td>\n",
-       "      <td>0.272369</td>\n",
-       "      <td>0.247078</td>\n",
-       "      <td>0.150693</td>\n",
-       "      <td>0.120034</td>\n",
-       "      <td>0.126685</td>\n",
-       "      <td>0.553550</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>min</th>\n",
-       "      <td>1.000000</td>\n",
-       "      <td>2.839000</td>\n",
-       "      <td>0.018480</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.328580</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25%</th>\n",
-       "      <td>40.250000</td>\n",
-       "      <td>4.526000</td>\n",
-       "      <td>0.037268</td>\n",
-       "      <td>0.545808</td>\n",
-       "      <td>0.856823</td>\n",
-       "      <td>0.439185</td>\n",
-       "      <td>0.328330</td>\n",
-       "      <td>0.061675</td>\n",
-       "      <td>0.150553</td>\n",
-       "      <td>1.759410</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50%</th>\n",
-       "      <td>79.500000</td>\n",
-       "      <td>5.232500</td>\n",
-       "      <td>0.043940</td>\n",
-       "      <td>0.910245</td>\n",
-       "      <td>1.029510</td>\n",
-       "      <td>0.696705</td>\n",
-       "      <td>0.435515</td>\n",
-       "      <td>0.107220</td>\n",
-       "      <td>0.216130</td>\n",
-       "      <td>2.095415</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>75%</th>\n",
-       "      <td>118.750000</td>\n",
-       "      <td>6.243750</td>\n",
-       "      <td>0.052300</td>\n",
-       "      <td>1.158448</td>\n",
-       "      <td>1.214405</td>\n",
-       "      <td>0.811013</td>\n",
-       "      <td>0.549092</td>\n",
-       "      <td>0.180255</td>\n",
-       "      <td>0.309883</td>\n",
-       "      <td>2.462415</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>max</th>\n",
-       "      <td>158.000000</td>\n",
-       "      <td>7.587000</td>\n",
-       "      <td>0.136930</td>\n",
-       "      <td>1.690420</td>\n",
-       "      <td>1.402230</td>\n",
-       "      <td>1.025250</td>\n",
-       "      <td>0.669730</td>\n",
-       "      <td>0.551910</td>\n",
-       "      <td>0.795880</td>\n",
-       "      <td>3.602140</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "       Happiness Rank  Happiness Score  Standard Error  \\\n",
-       "count      158.000000       158.000000      158.000000   \n",
-       "mean        79.493671         5.375734        0.047885   \n",
-       "std         45.754363         1.145010        0.017146   \n",
-       "min          1.000000         2.839000        0.018480   \n",
-       "25%         40.250000         4.526000        0.037268   \n",
-       "50%         79.500000         5.232500        0.043940   \n",
-       "75%        118.750000         6.243750        0.052300   \n",
-       "max        158.000000         7.587000        0.136930   \n",
-       "\n",
-       "       Economy (GDP per Capita)      Family  Health (Life Expectancy)  \\\n",
-       "count                158.000000  158.000000                158.000000   \n",
-       "mean                   0.846137    0.991046                  0.630259   \n",
-       "std                    0.403121    0.272369                  0.247078   \n",
-       "min                    0.000000    0.000000                  0.000000   \n",
-       "25%                    0.545808    0.856823                  0.439185   \n",
-       "50%                    0.910245    1.029510                  0.696705   \n",
-       "75%                    1.158448    1.214405                  0.811013   \n",
-       "max                    1.690420    1.402230                  1.025250   \n",
-       "\n",
-       "          Freedom  Trust (Government Corruption)  Generosity  \\\n",
-       "count  158.000000                     158.000000  158.000000   \n",
-       "mean     0.428615                       0.143422    0.237296   \n",
-       "std      0.150693                       0.120034    0.126685   \n",
-       "min      0.000000                       0.000000    0.000000   \n",
-       "25%      0.328330                       0.061675    0.150553   \n",
-       "50%      0.435515                       0.107220    0.216130   \n",
-       "75%      0.549092                       0.180255    0.309883   \n",
-       "max      0.669730                       0.551910    0.795880   \n",
-       "\n",
-       "       Dystopia Residual  \n",
-       "count         158.000000  \n",
-       "mean            2.098977  \n",
-       "std             0.553550  \n",
-       "min             0.328580  \n",
-       "25%             1.759410  \n",
-       "50%             2.095415  \n",
-       "75%             2.462415  \n",
-       "max             3.602140  "
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "happiness.describe()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "happiness[\"Family\"].hist()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 1440x1080 with 12 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "happiness.hist(bins=50, figsize=(20,15))\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 8,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "happiness.plot(kind=\"scatter\", x=\"Family\", y=\"Happiness Score\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 9,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "happiness.plot(kind=\"scatter\", x=\"Trust (Government Corruption)\", y=\"Happiness Score\")\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 10,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\Andreas Shepley\\Anaconda3\\lib\\site-packages\\ipykernel_launcher.py:5: FutureWarning: 'pandas.tools.plotting.scatter_matrix' is deprecated, import 'pandas.plotting.scatter_matrix' instead.\n",
-      "  \"\"\"\n"
-     ]
-    },
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 864x576 with 16 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "from pandas.tools.plotting import scatter_matrix\n",
-    "\n",
-    "attributes = [\"Happiness Score\", \"Economy (GDP per Capita)\", \"Family\",\n",
-    "\"Health (Life Expectancy)\"]\n",
-    "scatter_matrix(happiness[attributes], figsize=(12, 8))\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "happiness.plot(kind=\"scatter\", x=\"Economy (GDP per Capita)\", y=\"Happiness Score\",\n",
-    "s=50, c=\"Generosity\", cmap=plt.get_cmap(\"jet\"), colorbar=True)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 12,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Happiness Score                  1.000000\n",
-       "Economy (GDP per Capita)         0.780966\n",
-       "Family                           0.740605\n",
-       "Health (Life Expectancy)         0.724200\n",
-       "Freedom                          0.568211\n",
-       "Dystopia Residual                0.530474\n",
-       "Trust (Government Corruption)    0.395199\n",
-       "Generosity                       0.180319\n",
-       "Standard Error                  -0.177254\n",
-       "Happiness Rank                  -0.992105\n",
-       "Name: Happiness Score, dtype: float64"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "corr_matrix = happiness.corr()\n",
-    "corr_matrix[\"Happiness Score\"].sort_values(ascending=False)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Dataset 2: Police Shootings\n",
-    "You can access this dataset here: www.kaggle.com/washingtonpost/police-shootings\n",
-    "> This is an example of a dataset that is:\n",
-    "* Moderate quality\n",
-    "* Categorical"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "DATASET_PATH = './datasets/police_shooting/fatal-police-shootings-data.csv'\n",
-    "police = load_data(DATASET_PATH)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 14,
-   "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>name</th>\n",
-       "      <th>date</th>\n",
-       "      <th>manner_of_death</th>\n",
-       "      <th>armed</th>\n",
-       "      <th>age</th>\n",
-       "      <th>gender</th>\n",
-       "      <th>race</th>\n",
-       "      <th>city</th>\n",
-       "      <th>state</th>\n",
-       "      <th>signs_of_mental_illness</th>\n",
-       "      <th>threat_level</th>\n",
-       "      <th>flee</th>\n",
-       "      <th>body_camera</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>Tim Elliot</td>\n",
-       "      <td>1/2/2015</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>gun</td>\n",
-       "      <td>53.0</td>\n",
-       "      <td>M</td>\n",
-       "      <td>A</td>\n",
-       "      <td>Shelton</td>\n",
-       "      <td>WA</td>\n",
-       "      <td>True</td>\n",
-       "      <td>attack</td>\n",
-       "      <td>Not fleeing</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>Lewis Lee Lembke</td>\n",
-       "      <td>1/2/2015</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>gun</td>\n",
-       "      <td>47.0</td>\n",
-       "      <td>M</td>\n",
-       "      <td>W</td>\n",
-       "      <td>Aloha</td>\n",
-       "      <td>OR</td>\n",
-       "      <td>False</td>\n",
-       "      <td>attack</td>\n",
-       "      <td>Not fleeing</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>John Paul Quintero</td>\n",
-       "      <td>1/3/2015</td>\n",
-       "      <td>shot and Tasered</td>\n",
-       "      <td>unarmed</td>\n",
-       "      <td>23.0</td>\n",
-       "      <td>M</td>\n",
-       "      <td>H</td>\n",
-       "      <td>Wichita</td>\n",
-       "      <td>KS</td>\n",
-       "      <td>False</td>\n",
-       "      <td>other</td>\n",
-       "      <td>Not fleeing</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>Matthew Hoffman</td>\n",
-       "      <td>1/4/2015</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>toy weapon</td>\n",
-       "      <td>32.0</td>\n",
-       "      <td>M</td>\n",
-       "      <td>W</td>\n",
-       "      <td>San Francisco</td>\n",
-       "      <td>CA</td>\n",
-       "      <td>True</td>\n",
-       "      <td>attack</td>\n",
-       "      <td>Not fleeing</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>Michael Rodriguez</td>\n",
-       "      <td>1/4/2015</td>\n",
-       "      <td>shot</td>\n",
-       "      <td>nail gun</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>M</td>\n",
-       "      <td>H</td>\n",
-       "      <td>Evans</td>\n",
-       "      <td>CO</td>\n",
-       "      <td>False</td>\n",
-       "      <td>attack</td>\n",
-       "      <td>Not fleeing</td>\n",
-       "      <td>False</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "                 name      date   manner_of_death       armed   age gender  \\\n",
-       "0          Tim Elliot  1/2/2015              shot         gun  53.0      M   \n",
-       "1    Lewis Lee Lembke  1/2/2015              shot         gun  47.0      M   \n",
-       "2  John Paul Quintero  1/3/2015  shot and Tasered     unarmed  23.0      M   \n",
-       "3     Matthew Hoffman  1/4/2015              shot  toy weapon  32.0      M   \n",
-       "4   Michael Rodriguez  1/4/2015              shot    nail gun  39.0      M   \n",
-       "\n",
-       "  race           city state  signs_of_mental_illness threat_level  \\\n",
-       "0    A        Shelton    WA                     True       attack   \n",
-       "1    W          Aloha    OR                    False       attack   \n",
-       "2    H        Wichita    KS                    False        other   \n",
-       "3    W  San Francisco    CA                     True       attack   \n",
-       "4    H          Evans    CO                    False       attack   \n",
-       "\n",
-       "          flee  body_camera  \n",
-       "0  Not fleeing        False  \n",
-       "1  Not fleeing        False  \n",
-       "2  Not fleeing        False  \n",
-       "3  Not fleeing        False  \n",
-       "4  Not fleeing        False  "
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "police.head()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 15,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "<class 'pandas.core.frame.DataFrame'>\n",
-      "RangeIndex: 5416 entries, 0 to 5415\n",
-      "Data columns (total 13 columns):\n",
-      "name                       5416 non-null object\n",
-      "date                       5416 non-null object\n",
-      "manner_of_death            5416 non-null object\n",
-      "armed                      5189 non-null object\n",
-      "age                        5181 non-null float64\n",
-      "gender                     5414 non-null object\n",
-      "race                       4895 non-null object\n",
-      "city                       5416 non-null object\n",
-      "state                      5416 non-null object\n",
-      "signs_of_mental_illness    5416 non-null bool\n",
-      "threat_level               5416 non-null object\n",
-      "flee                       5167 non-null object\n",
-      "body_camera                5416 non-null bool\n",
-      "dtypes: bool(2), float64(1), object(10)\n",
-      "memory usage: 476.1+ KB\n"
-     ]
-    }
-   ],
-   "source": [
-    "police.info()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 16,
-   "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>age</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>count</th>\n",
-       "      <td>5181.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mean</th>\n",
-       "      <td>37.117931</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>std</th>\n",
-       "      <td>13.116135</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>min</th>\n",
-       "      <td>6.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25%</th>\n",
-       "      <td>27.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50%</th>\n",
-       "      <td>35.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>75%</th>\n",
-       "      <td>46.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>max</th>\n",
-       "      <td>91.000000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "               age\n",
-       "count  5181.000000\n",
-       "mean     37.117931\n",
-       "std      13.116135\n",
-       "min       6.000000\n",
-       "25%      27.000000\n",
-       "50%      35.000000\n",
-       "75%      46.000000\n",
-       "max      91.000000"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "police.describe()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Summary of people who were fleeing/mode of fleeing**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Not fleeing    3411\n",
-       "Car             900\n",
-       "Foot            692\n",
-       "Other           164\n",
-       "Name: flee, dtype: int64"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "police[\"flee\"].value_counts()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Frequency histogram showing age based distribution of shooting victims**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 18,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "police[\"age\"].hist()\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 19,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Age of youngest victim:  6.0\n",
-      "Age of oldest victim:  91.0\n"
-     ]
-    }
-   ],
-   "source": [
-    "print(\"Age of youngest victim: \",police[\"age\"].min())\n",
-    "print(\"Age of oldest victim: \",police[\"age\"].max())"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Gender distribution**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 20,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "gender\n",
-       "F     238\n",
-       "M    5176\n",
-       "dtype: int64"
-      ]
-     },
-     "execution_count": 20,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "police.groupby('gender').size()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "M    95.60399\n",
-       "F     4.39601\n",
-       "Name: gender, dtype: float64"
-      ]
-     },
-     "execution_count": 21,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "police['gender'].value_counts(normalize=True) * 100"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 22,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "labels = police['gender'].astype('category').cat.categories.tolist()\n",
-    "counts = police['gender'].value_counts()\n",
-    "sizes = [counts[var_cat] for var_cat in labels]\n",
-    "fig1, ax1 = plt.subplots()\n",
-    "ax1.pie(sizes, labels=labels, autopct='%1.1f%%', shadow=False) \n",
-    "ax1.axis('equal')\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Race Distribution**"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "W    50.582227\n",
-       "B    26.516854\n",
-       "H    18.426966\n",
-       "A     1.899898\n",
-       "N     1.593463\n",
-       "O     0.980592\n",
-       "Name: race, dtype: float64"
-      ]
-     },
-     "execution_count": 23,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "police['race'].value_counts(normalize=True) * 100"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "**Visualise race distribution where**\n",
-    " W: White, non-Hispanic B: Black, non-Hispanic A: Asian N: Native American H: Hispanic O: Other None: unknown"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "%matplotlib inline\n",
-    "import matplotlib.pyplot as plt\n",
-    "import seaborn as sns\n",
-    "\n",
-    "race_count = police['race'].value_counts()\n",
-    "sns.set(style=\"darkgrid\")\n",
-    "sns.barplot(race_count.index, race_count.values, alpha=0.9)\n",
-    "plt.title('Frequency Distribution of Races')\n",
-    "plt.ylabel('Number of Occurrences', fontsize=12)\n",
-    "plt.xlabel('Race', fontsize=12)\n",
-    "plt.show()"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Exercise 1\n",
-    "Use pandas and matplot lib to show the rate of shootings overtime"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Exercise 2\n",
-    "Locate another dataset on one of the websites mentioned above. Find interesting ways to visualise patterns, and post your work on SLACK!"
-   ]
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "Python 3",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.1"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}