A7 Notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# A7: Covid Cases and their Impact on Domestic Violence in Atlanta, GA.\n",
    "## Data 512\n",
    "## Author: Grant Savage\n",
    "\n",
    "A7 is the product of several assignment and relies on the analysis conducted in A4 for Cobb County, GA. The begining of this notebook is the work I did for the A4 assignment and I extend the analysis with additional data for my A7 assignment.\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# A4\n",
    "\n",
    "## The question to answer is:\n",
    "## How did masking policies change the progression of confirmed COVID-19 cases from February 1, 2020 through October 15, 2021?\n",
    "### Note - Cobb County, GA does not have a masking policy so for this assignment I have just looked at the progression of confirmed COVID-19 cases from February 1, 2020 through Octover 15, 2021. To do this I created two plots; the first shows the rate of infection over time in Cobb County, and the second shows the change in the rate of infection over time in Cobb County."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Import Libraries and define UI settings for whole notebook"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from scipy import stats\n",
    "import datetime\n",
    "from IPython.core.interactiveshell import InteractiveShell\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.linear_model import LinearRegression\n",
    "from sklearn.linear_model import PoissonRegressor\n",
    "from sklearn.linear_model import Ridge\n",
    "from bokeh.plotting import figure, show\n",
    "import matplotlib.dates as mdates\n",
    "from statistics import mean\n",
    "\n",
    "\n",
    "import ruptures as rpt\n",
    "\n",
    "from statsmodels.tsa.arima_model import ARIMA\n",
    "from statsmodels.tsa.stattools import acf\n",
    "from statsmodels.graphics.tsaplots import plot_acf, plot_pacf\n",
    "\n",
    "import plotly.graph_objs as go\n",
    "\n",
    "import warnings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# inline graphs\n",
    "%matplotlib inline\n",
    "# multiple outputs from a single cell\n",
    "InteractiveShell.ast_node_interactivity = \"all\"\n",
    "# increase max columns displayed by pandas\n",
    "pd.set_option(\"display.max_columns\", 50)\n",
    "#supress python warnings from UI\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Get Data for A4\n",
    "[U.S. State and Territorial Public Mask Mandates From April 10, 2020 through August 15, 2021 by County by Day](https://data.cdc.gov/Policy-Surveillance/U-S-State-and-Territorial-Public-Mask-Mandates-Fro/62d6-pm5i) data comes from CDC.\n",
    "\n",
    "[RAW_us_confirmed_cases](https://www.kaggle.com/antgoldbloom/covid19-data-from-john-hopkins-university/version/374?select=RAW_us_confirmed_cases.csv) comes from Kaggle.\n",
    "\n",
    "[Mask use by county](https://github.com/nytimes/covid-19-data/tree/master/mask-use) data is provided by the New York Times."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "mask_mandate = pd.read_csv('U.S._State_and_Territorial_Public_Mask_Mandates_From_April_10__2020_through_August_15__2021_by_County_by_Day.csv')\n",
    "confirmed_cases = pd.read_csv('RAW_us_confirmed_cases.csv')\n",
    "mask_use = pd.read_csv('mask-use-by-county.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "#From 2020 US census Population of Cobb county GA\n",
    "population = 766149"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mask Mandate:\n"
     ]
    },
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>State_Tribe_Territory</th>\n",
       "      <th>County_Name</th>\n",
       "      <th>FIPS_State</th>\n",
       "      <th>FIPS_County</th>\n",
       "      <th>date</th>\n",
       "      <th>order_code</th>\n",
       "      <th>Face_Masks_Required_in_Public</th>\n",
       "      <th>Source_of_Action</th>\n",
       "      <th>URL</th>\n",
       "      <th>Citation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AL</td>\n",
       "      <td>Autauga County</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4/10/2020</td>\n",
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       "      <th>2</th>\n",
       "      <td>AL</td>\n",
       "      <td>Autauga County</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>3</th>\n",
       "      <td>AL</td>\n",
       "      <td>Autauga County</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4/13/2020</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AL</td>\n",
       "      <td>Autauga County</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4/14/2020</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "  State_Tribe_Territory     County_Name  FIPS_State  FIPS_County       date  \\\n",
       "0                    AL  Autauga County           1            1  4/10/2020   \n",
       "1                    AL  Autauga County           1            1  4/11/2020   \n",
       "2                    AL  Autauga County           1            1  4/12/2020   \n",
       "3                    AL  Autauga County           1            1  4/13/2020   \n",
       "4                    AL  Autauga County           1            1  4/14/2020   \n",
       "\n",
       "   order_code Face_Masks_Required_in_Public Source_of_Action  URL Citation  \n",
       "0           2                           NaN              NaN  NaN      NaN  \n",
       "1           2                           NaN              NaN  NaN      NaN  \n",
       "2           2                           NaN              NaN  NaN      NaN  \n",
       "3           2                           NaN              NaN  NaN      NaN  \n",
       "4           2                           NaN              NaN  NaN      NaN  "
      ]
     },
     "execution_count": 5,
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     "data": {
      "text/plain": [
       "State_Tribe_Territory            object\n",
       "County_Name                      object\n",
       "FIPS_State                        int64\n",
       "FIPS_County                       int64\n",
       "date                             object\n",
       "order_code                        int64\n",
       "Face_Masks_Required_in_Public    object\n",
       "Source_of_Action                 object\n",
       "URL                              object\n",
       "Citation                         object\n",
       "dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Confirmed Cases:\n"
     ]
    },
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Province_State</th>\n",
       "      <th>Admin2</th>\n",
       "      <th>UID</th>\n",
       "      <th>iso2</th>\n",
       "      <th>iso3</th>\n",
       "      <th>code3</th>\n",
       "      <th>FIPS</th>\n",
       "      <th>Country_Region</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long_</th>\n",
       "      <th>Combined_Key</th>\n",
       "      <th>1/22/20</th>\n",
       "      <th>1/23/20</th>\n",
       "      <th>1/24/20</th>\n",
       "      <th>1/25/20</th>\n",
       "      <th>1/26/20</th>\n",
       "      <th>1/27/20</th>\n",
       "      <th>1/28/20</th>\n",
       "      <th>1/29/20</th>\n",
       "      <th>1/30/20</th>\n",
       "      <th>1/31/20</th>\n",
       "      <th>2/1/20</th>\n",
       "      <th>2/2/20</th>\n",
       "      <th>2/3/20</th>\n",
       "      <th>2/4/20</th>\n",
       "      <th>...</th>\n",
       "      <th>10/3/21</th>\n",
       "      <th>10/4/21</th>\n",
       "      <th>10/5/21</th>\n",
       "      <th>10/6/21</th>\n",
       "      <th>10/7/21</th>\n",
       "      <th>10/8/21</th>\n",
       "      <th>10/9/21</th>\n",
       "      <th>10/10/21</th>\n",
       "      <th>10/11/21</th>\n",
       "      <th>10/12/21</th>\n",
       "      <th>10/13/21</th>\n",
       "      <th>10/14/21</th>\n",
       "      <th>10/15/21</th>\n",
       "      <th>10/16/21</th>\n",
       "      <th>10/17/21</th>\n",
       "      <th>10/18/21</th>\n",
       "      <th>10/19/21</th>\n",
       "      <th>10/20/21</th>\n",
       "      <th>10/21/21</th>\n",
       "      <th>10/22/21</th>\n",
       "      <th>10/23/21</th>\n",
       "      <th>10/24/21</th>\n",
       "      <th>10/25/21</th>\n",
       "      <th>10/26/21</th>\n",
       "      <th>10/27/21</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>Autauga</td>\n",
       "      <td>84001001</td>\n",
       "      <td>US</td>\n",
       "      <td>USA</td>\n",
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       "      <td>1001.0</td>\n",
       "      <td>US</td>\n",
       "      <td>32.539527</td>\n",
       "      <td>-86.644082</td>\n",
       "      <td>Autauga, Alabama, US</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>9780</td>\n",
       "      <td>9790</td>\n",
       "      <td>9799</td>\n",
       "      <td>9810</td>\n",
       "      <td>9826</td>\n",
       "      <td>9839</td>\n",
       "      <td>9843</td>\n",
       "      <td>9850</td>\n",
       "      <td>9851</td>\n",
       "      <td>9858</td>\n",
       "      <td>9865</td>\n",
       "      <td>9874</td>\n",
       "      <td>9883</td>\n",
       "      <td>9893</td>\n",
       "      <td>9901</td>\n",
       "      <td>9904</td>\n",
       "      <td>9909</td>\n",
       "      <td>9910</td>\n",
       "      <td>9954</td>\n",
       "      <td>9967</td>\n",
       "      <td>10043</td>\n",
       "      <td>10047</td>\n",
       "      <td>10048</td>\n",
       "      <td>10061</td>\n",
       "      <td>10083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>Baldwin</td>\n",
       "      <td>84001003</td>\n",
       "      <td>US</td>\n",
       "      <td>USA</td>\n",
       "      <td>840</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>US</td>\n",
       "      <td>30.727750</td>\n",
       "      <td>-87.722071</td>\n",
       "      <td>Baldwin, Alabama, US</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>36579</td>\n",
       "      <td>36602</td>\n",
       "      <td>36697</td>\n",
       "      <td>36734</td>\n",
       "      <td>36780</td>\n",
       "      <td>36814</td>\n",
       "      <td>36870</td>\n",
       "      <td>36889</td>\n",
       "      <td>36905</td>\n",
       "      <td>36933</td>\n",
       "      <td>36965</td>\n",
       "      <td>37018</td>\n",
       "      <td>37044</td>\n",
       "      <td>37069</td>\n",
       "      <td>37087</td>\n",
       "      <td>37098</td>\n",
       "      <td>37127</td>\n",
       "      <td>37167</td>\n",
       "      <td>37192</td>\n",
       "      <td>37224</td>\n",
       "      <td>37245</td>\n",
       "      <td>37258</td>\n",
       "      <td>37266</td>\n",
       "      <td>37285</td>\n",
       "      <td>37325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>Barbour</td>\n",
       "      <td>84001005</td>\n",
       "      <td>US</td>\n",
       "      <td>USA</td>\n",
       "      <td>840</td>\n",
       "      <td>1005.0</td>\n",
       "      <td>US</td>\n",
       "      <td>31.868263</td>\n",
       "      <td>-85.387129</td>\n",
       "      <td>Barbour, Alabama, US</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3519</td>\n",
       "      <td>3521</td>\n",
       "      <td>3524</td>\n",
       "      <td>3527</td>\n",
       "      <td>3536</td>\n",
       "      <td>3541</td>\n",
       "      <td>3545</td>\n",
       "      <td>3546</td>\n",
       "      <td>3546</td>\n",
       "      <td>3548</td>\n",
       "      <td>3550</td>\n",
       "      <td>3552</td>\n",
       "      <td>3553</td>\n",
       "      <td>3554</td>\n",
       "      <td>3556</td>\n",
       "      <td>3560</td>\n",
       "      <td>3563</td>\n",
       "      <td>3565</td>\n",
       "      <td>3566</td>\n",
       "      <td>3575</td>\n",
       "      <td>3577</td>\n",
       "      <td>3578</td>\n",
       "      <td>3578</td>\n",
       "      <td>3583</td>\n",
       "      <td>3595</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>Bibb</td>\n",
       "      <td>84001007</td>\n",
       "      <td>US</td>\n",
       "      <td>USA</td>\n",
       "      <td>840</td>\n",
       "      <td>1007.0</td>\n",
       "      <td>US</td>\n",
       "      <td>32.996421</td>\n",
       "      <td>-87.125115</td>\n",
       "      <td>Bibb, Alabama, US</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>4157</td>\n",
       "      <td>4163</td>\n",
       "      <td>4167</td>\n",
       "      <td>4168</td>\n",
       "      <td>4176</td>\n",
       "      <td>4184</td>\n",
       "      <td>4192</td>\n",
       "      <td>4193</td>\n",
       "      <td>4194</td>\n",
       "      <td>4202</td>\n",
       "      <td>4208</td>\n",
       "      <td>4211</td>\n",
       "      <td>4216</td>\n",
       "      <td>4216</td>\n",
       "      <td>4217</td>\n",
       "      <td>4217</td>\n",
       "      <td>4232</td>\n",
       "      <td>4236</td>\n",
       "      <td>4240</td>\n",
       "      <td>4246</td>\n",
       "      <td>4251</td>\n",
       "      <td>4252</td>\n",
       "      <td>4253</td>\n",
       "      <td>4256</td>\n",
       "      <td>4262</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Alabama</td>\n",
       "      <td>Blount</td>\n",
       "      <td>84001009</td>\n",
       "      <td>US</td>\n",
       "      <td>USA</td>\n",
       "      <td>840</td>\n",
       "      <td>1009.0</td>\n",
       "      <td>US</td>\n",
       "      <td>33.982109</td>\n",
       "      <td>-86.567906</td>\n",
       "      <td>Blount, Alabama, US</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>9870</td>\n",
       "      <td>9878</td>\n",
       "      <td>9923</td>\n",
       "      <td>9941</td>\n",
       "      <td>9957</td>\n",
       "      <td>9970</td>\n",
       "      <td>9998</td>\n",
       "      <td>10013</td>\n",
       "      <td>10020</td>\n",
       "      <td>10037</td>\n",
       "      <td>10047</td>\n",
       "      <td>10071</td>\n",
       "      <td>10081</td>\n",
       "      <td>10094</td>\n",
       "      <td>10102</td>\n",
       "      <td>10104</td>\n",
       "      <td>10113</td>\n",
       "      <td>10132</td>\n",
       "      <td>10162</td>\n",
       "      <td>10179</td>\n",
       "      <td>10192</td>\n",
       "      <td>10197</td>\n",
       "      <td>10207</td>\n",
       "      <td>10227</td>\n",
       "      <td>10338</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 656 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "  Province_State   Admin2       UID iso2 iso3  code3    FIPS Country_Region  \\\n",
       "0        Alabama  Autauga  84001001   US  USA    840  1001.0             US   \n",
       "1        Alabama  Baldwin  84001003   US  USA    840  1003.0             US   \n",
       "2        Alabama  Barbour  84001005   US  USA    840  1005.0             US   \n",
       "3        Alabama     Bibb  84001007   US  USA    840  1007.0             US   \n",
       "4        Alabama   Blount  84001009   US  USA    840  1009.0             US   \n",
       "\n",
       "         Lat      Long_          Combined_Key  1/22/20  1/23/20  1/24/20  \\\n",
       "0  32.539527 -86.644082  Autauga, Alabama, US        0        0        0   \n",
       "1  30.727750 -87.722071  Baldwin, Alabama, US        0        0        0   \n",
       "2  31.868263 -85.387129  Barbour, Alabama, US        0        0        0   \n",
       "3  32.996421 -87.125115     Bibb, Alabama, US        0        0        0   \n",
       "4  33.982109 -86.567906   Blount, Alabama, US        0        0        0   \n",
       "\n",
       "   1/25/20  1/26/20  1/27/20  1/28/20  1/29/20  1/30/20  1/31/20  2/1/20  \\\n",
       "0        0        0        0        0        0        0        0       0   \n",
       "1        0        0        0        0        0        0        0       0   \n",
       "2        0        0        0        0        0        0        0       0   \n",
       "3        0        0        0        0        0        0        0       0   \n",
       "4        0        0        0        0        0        0        0       0   \n",
       "\n",
       "   2/2/20  2/3/20  2/4/20  ...  10/3/21  10/4/21  10/5/21  10/6/21  10/7/21  \\\n",
       "0       0       0       0  ...     9780     9790     9799     9810     9826   \n",
       "1       0       0       0  ...    36579    36602    36697    36734    36780   \n",
       "2       0       0       0  ...     3519     3521     3524     3527     3536   \n",
       "3       0       0       0  ...     4157     4163     4167     4168     4176   \n",
       "4       0       0       0  ...     9870     9878     9923     9941     9957   \n",
       "\n",
       "   10/8/21  10/9/21  10/10/21  10/11/21  10/12/21  10/13/21  10/14/21  \\\n",
       "0     9839     9843      9850      9851      9858      9865      9874   \n",
       "1    36814    36870     36889     36905     36933     36965     37018   \n",
       "2     3541     3545      3546      3546      3548      3550      3552   \n",
       "3     4184     4192      4193      4194      4202      4208      4211   \n",
       "4     9970     9998     10013     10020     10037     10047     10071   \n",
       "\n",
       "   10/15/21  10/16/21  10/17/21  10/18/21  10/19/21  10/20/21  10/21/21  \\\n",
       "0      9883      9893      9901      9904      9909      9910      9954   \n",
       "1     37044     37069     37087     37098     37127     37167     37192   \n",
       "2      3553      3554      3556      3560      3563      3565      3566   \n",
       "3      4216      4216      4217      4217      4232      4236      4240   \n",
       "4     10081     10094     10102     10104     10113     10132     10162   \n",
       "\n",
       "   10/22/21  10/23/21  10/24/21  10/25/21  10/26/21  10/27/21  \n",
       "0      9967     10043     10047     10048     10061     10083  \n",
       "1     37224     37245     37258     37266     37285     37325  \n",
       "2      3575      3577      3578      3578      3583      3595  \n",
       "3      4246      4251      4252      4253      4256      4262  \n",
       "4     10179     10192     10197     10207     10227     10338  \n",
       "\n",
       "[5 rows x 656 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Province_State    object\n",
       "Admin2            object\n",
       "UID                int64\n",
       "iso2              object\n",
       "iso3              object\n",
       "                   ...  \n",
       "10/23/21           int64\n",
       "10/24/21           int64\n",
       "10/25/21           int64\n",
       "10/26/21           int64\n",
       "10/27/21           int64\n",
       "Length: 656, dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mask Use:\n"
     ]
    },
    {
     "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>COUNTYFP</th>\n",
       "      <th>NEVER</th>\n",
       "      <th>RARELY</th>\n",
       "      <th>SOMETIMES</th>\n",
       "      <th>FREQUENTLY</th>\n",
       "      <th>ALWAYS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1001</td>\n",
       "      <td>0.053</td>\n",
       "      <td>0.074</td>\n",
       "      <td>0.134</td>\n",
       "      <td>0.295</td>\n",
       "      <td>0.444</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1003</td>\n",
       "      <td>0.083</td>\n",
       "      <td>0.059</td>\n",
       "      <td>0.098</td>\n",
       "      <td>0.323</td>\n",
       "      <td>0.436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1005</td>\n",
       "      <td>0.067</td>\n",
       "      <td>0.121</td>\n",
       "      <td>0.120</td>\n",
       "      <td>0.201</td>\n",
       "      <td>0.491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1007</td>\n",
       "      <td>0.020</td>\n",
       "      <td>0.034</td>\n",
       "      <td>0.096</td>\n",
       "      <td>0.278</td>\n",
       "      <td>0.572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1009</td>\n",
       "      <td>0.053</td>\n",
       "      <td>0.114</td>\n",
       "      <td>0.180</td>\n",
       "      <td>0.194</td>\n",
       "      <td>0.459</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   COUNTYFP  NEVER  RARELY  SOMETIMES  FREQUENTLY  ALWAYS\n",
       "0      1001  0.053   0.074      0.134       0.295   0.444\n",
       "1      1003  0.083   0.059      0.098       0.323   0.436\n",
       "2      1005  0.067   0.121      0.120       0.201   0.491\n",
       "3      1007  0.020   0.034      0.096       0.278   0.572\n",
       "4      1009  0.053   0.114      0.180       0.194   0.459"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "COUNTYFP        int64\n",
       "NEVER         float64\n",
       "RARELY        float64\n",
       "SOMETIMES     float64\n",
       "FREQUENTLY    float64\n",
       "ALWAYS        float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print('Mask Mandate:')\n",
    "mask_mandate.head()\n",
    "mask_mandate.dtypes\n",
    "print('Confirmed Cases:')\n",
    "confirmed_cases.head()\n",
    "confirmed_cases.dtypes\n",
    "print('Mask Use:')\n",
    "mask_use.head()\n",
    "mask_use.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Defining my county data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "cobb_county = pd.DataFrame.from_dict({'Order':[53],\n",
    "                           'Rank':[85],\n",
    "                           'County':['Cobb'],\n",
    "                           'State':['Georgia'],\n",
    "                           'Area_km^2':[879.43],\n",
    "                           'Area_mi^2':[39.55],\n",
    "                           'Population_2020_Census':[766149],\n",
    "                           'Population_Increase_from_2010':[78071],\n",
    "                           'County_Seat':['Marietta']})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Clean A4 data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Limit the collected data to just Cobb county Georgia."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# mask mandate data\n",
    "mm_cobb = mask_mandate[mask_mandate.County_Name.isin(['Cobb County'])]\n",
    "\n",
    "# mask use data\n",
    "mu_cobb = mask_use[mask_use.COUNTYFP==13067]\n",
    "\n",
    "# confirmed cases data\n",
    "cc_cobb = confirmed_cases[(confirmed_cases.Province_State=='Georgia') & (confirmed_cases.Admin2 =='Cobb')]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Remove unnecessary columns from confirmed cases data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "cc_column_list = list(cc_cobb.columns)\n",
    "remove_list = ['Province_State', 'Admin2', 'UID', 'iso2', 'iso3', 'code3', 'FIPS', 'Country_Region','Lat',\n",
    " 'Long_',\n",
    " 'Combined_Key']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "for l in remove_list:\n",
    "    cc_column_list.remove(l)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Transpose confirmed cases data and set datetime field"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "mcc_cobb = cc_cobb.melt(value_vars=cc_column_list, var_name='date', value_name='confirmed_cases')\n",
    "mcc_cobb.date = pd.to_datetime(mcc_cobb.date)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calulculate the important features:\n",
    "### moving average of cases, rate of infection,  and the at risk population, delta of the infection rate, and total infected"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# calculate moving average using a 7 day window to adjust for weekly seasonality of reported cases.\n",
    "mcc_cobb['ma'] = mcc_cobb.confirmed_cases.rolling(window=7).mean().round()\n",
    "# calculate the smoothed rate of confirmed cases\n",
    "mcc_cobb['ma_delta']= mcc_cobb['ma'].diff()\n",
    "# determine at risk population\n",
    "mcc_cobb['at_risk_pop'] = population - mcc_cobb.confirmed_cases\n",
    "\n",
    "# calculate infection rate and the change in infection rate.\n",
    "# assumption, every infection lasts a 14 day period of time. Once infected a person cannot get infected again.\n",
    "mcc_cobb['infection_rate'] = (mcc_cobb['ma_delta'].rolling(min_periods=1, window=14).sum()/mcc_cobb.at_risk_pop)\n",
    "mcc_cobb['Infection Rate Delta']= mcc_cobb['infection_rate'].diff()\n",
    "\n",
    "#calculate total number of currently infected people\n",
    "mcc_cobb['infected'] = 100*(mcc_cobb['ma_delta'].rolling(min_periods=1, window=14).sum())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>date</th>\n",
       "      <th>confirmed_cases</th>\n",
       "      <th>ma</th>\n",
       "      <th>ma_delta</th>\n",
       "      <th>at_risk_pop</th>\n",
       "      <th>infection_rate</th>\n",
       "      <th>Infection Rate Delta</th>\n",
       "      <th>infected</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>640</th>\n",
       "      <td>2021-10-23</td>\n",
       "      <td>108543</td>\n",
       "      <td>108308.0</td>\n",
       "      <td>95.0</td>\n",
       "      <td>657606</td>\n",
       "      <td>0.002939</td>\n",
       "      <td>-0.000199</td>\n",
       "      <td>193300.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>641</th>\n",
       "      <td>2021-10-24</td>\n",
       "      <td>108543</td>\n",
       "      <td>108404.0</td>\n",
       "      <td>96.0</td>\n",
       "      <td>657606</td>\n",
       "      <td>0.002740</td>\n",
       "      <td>-0.000199</td>\n",
       "      <td>180200.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>642</th>\n",
       "      <td>2021-10-25</td>\n",
       "      <td>108763</td>\n",
       "      <td>108491.0</td>\n",
       "      <td>87.0</td>\n",
       "      <td>657386</td>\n",
       "      <td>0.002616</td>\n",
       "      <td>-0.000124</td>\n",
       "      <td>172000.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>643</th>\n",
       "      <td>2021-10-26</td>\n",
       "      <td>108843</td>\n",
       "      <td>108576.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>657306</td>\n",
       "      <td>0.002417</td>\n",
       "      <td>-0.000199</td>\n",
       "      <td>158900.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>644</th>\n",
       "      <td>2021-10-27</td>\n",
       "      <td>109032</td>\n",
       "      <td>108673.0</td>\n",
       "      <td>97.0</td>\n",
       "      <td>657117</td>\n",
       "      <td>0.002225</td>\n",
       "      <td>-0.000193</td>\n",
       "      <td>146200.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          date  confirmed_cases        ma  ma_delta  at_risk_pop  \\\n",
       "640 2021-10-23           108543  108308.0      95.0       657606   \n",
       "641 2021-10-24           108543  108404.0      96.0       657606   \n",
       "642 2021-10-25           108763  108491.0      87.0       657386   \n",
       "643 2021-10-26           108843  108576.0      85.0       657306   \n",
       "644 2021-10-27           109032  108673.0      97.0       657117   \n",
       "\n",
       "     infection_rate  Infection Rate Delta  infected  \n",
       "640        0.002939             -0.000199  193300.0  \n",
       "641        0.002740             -0.000199  180200.0  \n",
       "642        0.002616             -0.000124  172000.0  \n",
       "643        0.002417             -0.000199  158900.0  \n",
       "644        0.002225             -0.000193  146200.0  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mcc_cobb.tail()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Set index as date for graphing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "mcc_cobb.set_index('date', inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot the Change in Rate of Infection for Cobb County GA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Change in the Rate of Infection for Cobb County GA (No mask policies in effect)')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Date')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Change in the Rate of Infection')"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x18885c24490>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax =mcc_cobb['Infection Rate Delta'].plot(marker='.', legend =True, figsize =(20,10), fontsize=15, x_compat=False)\n",
    "ax.set_title('Change in the Rate of Infection for Cobb County GA (No mask policies in effect)',fontdict={'fontsize':22})\n",
    "ax.set_xlabel('Date', fontsize=20)\n",
    "ax.set_ylabel('Change in the Rate of Infection', fontsize=20)\n",
    "ax.legend(loc=1,fontsize=15)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot the Rate of Infection for Cobb County GA"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Rate of Infection for Cobb County GA (No mask policies in effect)')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'Date')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Rate of Infection')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x18885da1730>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax = mcc_cobb['infection_rate'].plot(marker='.', legend =True, figsize =(20,10), fontsize=15, x_compat=False)\n",
    "ax.set_title('Rate of Infection for Cobb County GA (No mask policies in effect)',fontdict={'fontsize':22})\n",
    "ax.set_xlabel('Date', fontsize=20)\n",
    "ax.set_ylabel('Rate of Infection', fontsize=20)\n",
    "ax.legend(loc=1,fontsize=15)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Start of A7 analysis\n",
    "* Package imports for A7 are in the import section at the top of the notebook."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read Domestic Crime Data\n",
    "Domestic crime data is manually scraped from Atlanta Police Department's weekly release and is from 2018 to 2021\n",
    "https://www.atlantapd.org/i-want-to/crime-data-downloads"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "dv = pd.read_csv('domestic_crime_data.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Investigative plots and tables to get a basic understanding of the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Week</th>\n",
       "      <th>weekly_21</th>\n",
       "      <th>weekly_20</th>\n",
       "      <th>weekly_19</th>\n",
       "      <th>weekly_18</th>\n",
       "      <th>ytd_21</th>\n",
       "      <th>ytd_20</th>\n",
       "      <th>ytd_19</th>\n",
       "      <th>ytd_18</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>15.0</td>\n",
       "      <td>14</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>15.0</td>\n",
       "      <td>14</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>15.0</td>\n",
       "      <td>13</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "      <td>30.0</td>\n",
       "      <td>27</td>\n",
       "      <td>16</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>12.0</td>\n",
       "      <td>7</td>\n",
       "      <td>12</td>\n",
       "      <td>9</td>\n",
       "      <td>44.0</td>\n",
       "      <td>34</td>\n",
       "      <td>28</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>15</td>\n",
       "      <td>47.0</td>\n",
       "      <td>41</td>\n",
       "      <td>35</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>14.0</td>\n",
       "      <td>13</td>\n",
       "      <td>2</td>\n",
       "      <td>7</td>\n",
       "      <td>64.0</td>\n",
       "      <td>54</td>\n",
       "      <td>37</td>\n",
       "      <td>51</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Week  weekly_21  weekly_20  weekly_19  weekly_18  ytd_21  ytd_20  ytd_19  \\\n",
       "0     1       15.0         14          7         12    15.0      14       7   \n",
       "1     2       15.0         13          9          8    30.0      27      16   \n",
       "2     3       12.0          7         12          9    44.0      34      28   \n",
       "3     4        8.0          7          7         15    47.0      41      35   \n",
       "4     5       14.0         13          2          7    64.0      54      37   \n",
       "\n",
       "   ytd_18  \n",
       "0      12  \n",
       "1      20  \n",
       "2      29  \n",
       "3      44  \n",
       "4      51  "
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dv.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x18885e3fac0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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xTCQ34jIwMTKgi3dl+jd2o11tZ4wNn74aiircFUUpedd2w7754DsYmo4ulbdMzc5j54VoNp6O5NjNRACaeTowpm0Nutd3xdbcuFTaUVZUuCuKUrISb8LG0VD5Oej5dYnPYU/LzuOr3ddYczycHI2OGk6WvNulNn0buVHVwaJE37s8efp+FylhJVXPPTw8nI4dO9KoUSN8fX3ZsWNHsbVZUcpMbiasHab//KUVYFKy4bonOIYuCw6w/EgYfRu68cebrQl8tz0TO3k9U8EOKtwfW0nVc//0008ZNGgQZ86cwd/fnzfeeONJmqkoZS8lEn7rAzEXof9icKheYm8Vm5bNm6tOM+a3k9hZGLNxfCs+H+BLw6p25fLho9JQIYZl7sybR87l4q3nbupdF5f33nvkPqVZz10IQWpqKgApKSlUqVLlX1yVopQTN/bBhlGgyYaBS6F21xJ5Gykl607eZu72y2RrdEztVoex7Wo8lTdIH1eFCPeyMmrUKPr378/kyZPvq+e+dOlStm3bBsCCBQvu1nM/f/48jRs3/lfvNWfOHLp27cp3331HRkYGAQEBxXkpilI6dDoI+hr++hQcveClleBcu9hOn6vRcTEqhdO3kjiV/yc2LYfm1R34rH99ajhbFX6SZ0SFCPfCetglpTTrua9Zs4YRI0bw7rvvcuTIEYYNG8bFixcxMFA9EKWCyEqGP8bD1R3g0x96fwemTx62Op1kw+kI1p+8zbmIFHI1+uqpVR3MaVXTkY51K9HLtwoGBs/m8MvDVIhwL0ulVc99yZIl7Nq1C4CWLVuSnZ1NfHw8lSqV/oMeivLYwoJg85uQchte/AKajS2WWTHnbifz4ZZLnLudTF0Xa15tUY0m1expUs2eSjZmxdDwspOSk8LVxKuYGpnSwLlBsZ9fhXsh+vXrx4cffkheXh6rV6/m7NmzBdZz79ix4xPVc/fw8CAwMJARI0Zw+fJlsrOzcXZ2Lq7LUJSSEXcVAuboe+s27jBiB3g0f+LTJqTn8H9/XmXtyds4WZmyYFAD+jVyq7A3R+9k3OFs7FmuJl3lauJVriVdIyYzBoBOHp1Y2HFhsb+nCvdC/F3P3c7O7oF67iNGjGD8+PGMHDkSX19fGjZsWKR67qtXr75bz3306NHMmTOHr776ijFjxvD1118jhGDZsmUV9j+y8gxIuwP7PoPTv4GJFXSaDS3Gg7H5E51Wo9Wx6lg4X+2+SmaultFtqjOpkxfWZhXvgSOtTktQVBDrrq7jYORBdFKHkTCiul11/Fz8qGNfhzr2dajtUHz3JO5VpHruJU3Vcy+68vL3ojyjcjMhaCEc/g60efqnTdtNBUvHwo99BI1Wx9bzUXwXeJ0b8Rm0qeXEnN71qFWp4tV6SchKYNP1TWy4toHI9EgczBz4j9d/6FKtCzXtamJiqC8hLKUkO/83ffMG/25Y5onruT+rVD13RbnHnYuwYSTEXwOfftDpQ3Co8USn1OokW85F3g31ui7WLBrWhC71Kleo31zzdHkciTrCltAtBIYHotFp8Kvsx1uN36KTRyeMDf/3m4cuI4OUbdtJWutPTvBlLNu1xWPRomJvkwr3R1D13BUFkBJOLIY/Z4G5Pby6GWp0eKJT5ml1bD8fzbeBIXdD/adXmtC1XuUKM+tFSklwYjBbQ7ey8+ZOErMTsTW1ZVDtQQyqM4iadjXv2z8nJISkNf6kbNmCLj0d0zp1cJkzG5uevUqkfeU63KWUFeqn971Kop57eRhCU54xmYmweQJc3Q5eXaHvj2D5+ItYSCkJS8jkYEgcB67FcyQ0noxcbX6oN6ZrPZcKE+pJ2Un8cf0P/rj+BzdSbmBsYEyHqh3oWaMnbd3aYmxojCYxkYwjR8i+cpWcK1fIvnKFnKtXEcbGWL/4AvaDh2DeqGGJ5luRwl0IEQakAVpAI6X0E0I4AGsBTyAMGCSlTMrffyYwKn//SVLKPx+3YWZmZiQkJODo6FhhA744SSlJSEjAzKxiT/9SKpCwINg4BtJjodtn+humj/m9GBKTxq9BYRwMiSMiSf/0djVHC/o1duP5upXoULtShQh1KSVn486y9upadoftJk+XR0PnhnzQ4gO6eXbD1tSWvMhI4j6YQ8bBg2ji4u4ea+jshFmdutj27oVt//4Y2duXSpsfp+feUUoZf8/XM4BAKeV8IcSM/K+nCyHqAYMBH6AKECCEqC2l1D5Ow9zd3YmIiCDunr+kZ52ZmRnu7u5l3QzlaSclHPke9nwA9tVhdABUafhYp9DqJEsO3eDL3dcwNhC08XLi9fY1aevlRDVHyxJqePFLz01n+43trL22lpCkEKyMrRhQewCDag+iln0tALQpKcR8+38krVgJQmDdtStm9ephVqc2pnXqYOT4ZDeb/60nGZbpA3TI/3w5sA+Ynr/dX0qZA9wUQlwHmgFHHufkxsbGVK9ecoWGFEUpgFYDu2bAiV/Auzf0/QFMH2/GSnhCJlPWn+N4WCJd61VmXv/6OFmZllCDi19idiL7bu8jMDyQI1FHyNPl4e3gzeyWs+levTsWxvrqkrqcHJJWrSb+55/RpaZi27cvzpMmYuzqWsZXoFfUcJfAbiGEBH6WUi4CKkspowGklNFCiL8fpXQDjt5zbET+tvsIIcYCY0H/AI+iKGUsJx1+HwXXdkGrSdD5I3iM8hdSSlYfD2fu9ssYCsFXAxvQv3HFePAoJiOGgPAAAm4FcDr2NDqpw83KjSF1h/CC5ws85/Tc3evQZWWRun078T/8SF5UFJZt21JpyruY1alTxldxv6KGe2spZVR+gO8RQjyqRGNB/5IP3AnM/wGxCPTz3IvYDkVRSkJqNKwepC/P22MBNB31WIdHJWcxc+MF9l+Lo00tJ74Y4EsVuyd7oKmkZeZlEhAewJbQLRyPPo5EUsuuFqPrj6azR2fqOtS97wdTzo2bJK/1J3nTH+hSUzGt543Hp59g2apVGV7FwxUp3KWUUfkfY4UQm9APs8QIIVzze+2uQGz+7hFA1XsOdweiirHNiqIUp5hLsGoQZCXBkLWPVZ43O0/L4oM3+H5vKBLJx318eKV5tXJ7kzRPl8eJ6BNsvbGVwPBAsjRZuFm5Ma7BOLpX70512/uHgmVeHmmBf5Hk70/m0aNgbIxNl87YDR6MRdOm5fq3kkLDXQhhCRhIKdPyP+8KfAxsAYYD8/M/bs4/ZAuwWgixAP0NVS/gwdUpFEUpWzodnF0Fu2bqqze+thNci/6k5F9XYvhoazC3EjJ58TkXZvXwxt2+fKx2lJidyOmY09xOu33fnzsZd9BKLdYm1vSo0YNeNXrRqFKj+0I6NzycjKAg0oOCyDx6DF16OkZVXHF+6y3sBvwHI6fHnwpaForSc68MbMq/eCNgtZRylxDiBLBOCDEKCAcGAkgpLwkh1gHBgAZ483FnyiiKUsIiT8GOqfqPVVvAgCVgW7SZWGHxGXy8LZi/rsRS09mSFaOa0darfBS5C0sJ47fg39gSuoUcrf4hQjtTO6paV8XX2ZceNXpQz6EebdzbYGqov8krNRrSg4JI+2svGUFB5EVEAGBcpQo23btj9XxHrNq2RRgaltl1/RvltraMoiglICMeAj+C0yvAqhJ0+Rh8XyrS/PXMXA0/7A1l0YEbGBsK3upcm+GtPDExKvs1B87GnmXpxaXsvb0XYwNjetXsRX+v/njaemJjYvPA/lJKsoODSdm8mdTtO9AmJGBgYYFFixZYtm6FVevWGFerVq6HXUDVllEURauBk7/C3k8hNwNavgntp4PZg8H3T1JKdly4w9ztwUSlZNOvkRszX6xb5vXUo9OjORJ9hE0hmzgbdxZbU1vG+I5hSN0hOJkXPHSSFxNDyuYtpGzZTO71UISxMVYdOmDbpzeW7dphYGJSyldRclS4K8rTLiwIdk7Tz4Sp3l6/mEalukU69FpMGrM3X+LIjQTqudrwzZBGNPV0KOEGFywzL5MTd05wOOowh6MOE5YaBoC7lTszm82kb62+d+eg30vqdGQcOUKyvz9pf+0FrRbzRo1wmTMHmxe6YWhnV8pXUjpUuCvK0yo1CvZ8CBfW6xfSGLgc6vUp0hBMYkYu//3rOsuPhGFlasQnfZ/j5WYeGJbBLJjzcedZdmkZe2/vRaPTYGZoRhOXJgysPZBWVVpR065mgcMn2uRkkjf9QbK/P7m3bmFob4/jyBHYDRyISbVqpX4dpU2Fu6I8bTS5cPQH2P8F6DTQbhq0eRtMCp/JEhafwZJDN1l/6jY5Gh2Dm3owtVsdHCxLd7hCJ3UciDjA0otLOR17GmtjawbXGUz7qu1pVKnR3ZuhBckJDSVh6VJSt25D5uRg3qgRVSa8iXXXrhiYVpwnZZ+UCndFeZpEnoKN4yAhBOp0h27zwKHwMh5nwpNYdOAGuy7dwdjAgL6NqjCmbQ28KpfuYhk52hy2hW5jefBybqbcxNXSlWlNp9Hfqz+Wxg+vSSOlJPPECRJ/XUr6vn0IMzNs+/bF/uUh5e7J0dKiwl1RngZSwqmlsHM6WFWGoRvAq0uhh12KSuGjLcEcD0vExsyI8e1rMqKVZ6nfLE3JSWHt1bWsvryahOwEvB28+bzt53T17IqRwcNjSmo0pAUEkLDkV7IvXMDQ3h6nCROwH/pyqVVfLK9UuCtKRZebCdvfgXNroGYn+M9isHj0TU8pJcsOh/HZjivYWhjzYc96vNS0KpampRsJEWkRrAhewabrm8jSZNHarTUjfEbQ3KX5Q6ch6nJzyTh8mLQ9e0j/ay/apCSMq3ngMmc2tn36YGBevsselBYV7opSkSWEwrpX9SUE2s+A9tPA4NEP2yRm5DJtwzkCLsfSqW4l/m9gg1IfU7+SeIUlF5aw+9ZuDIQB3at3Z7jPcGrbF7xYtC4ri/R9+0jbE0D6/v3oMjIwsLLCqkMHbF58AasOHSrcQ0YlTYW7olRUV3bAptf1lRuHri/SMMzh0HjeXnuWpIw8Zveqx4hWnqX6oM7VxKv8eO5HAsMDsTK2Yni94Qz1Hkply8oF7p8TGkqS/1pS/vgDXVoahg4O2HTvjnWXzli0aPFUzUsvbircFaWi0Wpg71w4tABcG8Kg38D+0VP78rQ6vg0M4b97r1Pd0ZIlw5vynJttKTVYH+o/nfuJgPAArI2teaPBGwytN7Tgp0dzc0kLDCRpjT+Zx4/ri3V17YrdwIFYNPVTPfQiUuGuKBVJehz8/hrcPACNh+sfSDJ+9M3PQyHxzNl6ieux6Qxs4s6c3j6lNrYemR7Jlye+JCA8ACtjK8Y3GM8r9V55INS16elkHjtGRlAQqbv3oI2Px9jNDed33sHuP/3LbDWjikyFu6JUFOHHYP0IyEqEPj9Ao6GP3D0iKZO52y+z8+IdPBwsWPyqH53rFTz8URLOx51n4l8TydHmML7BeIZ6D8XWVP/bgtRqyb54kfSgIDKCDpN19ixotQgLCyxbtcR+0CAs27RBPMZiIcr9VLgrSnknJRz7GXbPAtuq+jVNXeo/dPfsPC2LDtzgh33XAXi3S23GtKuBmXHpDWcE3ApgxsEZOJs7s+yFZXfrpOeEhJCyZQspW7ehuXMHhMDMxwfH0aOxbN0Ki4YNEWocvViocFeU8iw3E7ZMgIu/6x9K6vsjmD+8FsqFiBTeXH2a8MRMutd3YVaPeriV4opIUkpWBK/gy5NfUt+5Pt89/x026ToSly8nZfMWsoODwdAQqzZtsHn3XSzbtH7m56OXFBXuilJepcfC6pcg6gx0mg2t33rkmqYBwTFMXHMGB0sTVo1uTutapbuohEan4fPjn+N/1Z8u1brwic9UUud9Q8jvv4NWi5mPD5Xfew+bHt3VGHopUOGuKOVR3FVYNUBff33waqjb/ZG7Lwu6ycfbgnnOzZbFw/2oZF26T5im5aYx8+BM9kfsZ2TdVxke4krE9H7oMjKwHzIE+yGDMa1Zs1Tb9KxT4a4o5c3NA7D2FTA0hRHbwa3xQ3fV6iRzt1/m16CbdPauzLdDGmJhUnrf1nnaPNZdW8fP534mJTeFedbD8PnsMLFXrmDRsgUus2ZhWqtWqbVH+R8V7opSnpxdA1smgmMtGLoO7DweumtWrpbJ/mfYHRzDyNaevN+jXqmV5G2k72wAACAASURBVJVSsvvWbr45/Q23027T1bA+o055I/5citbVFbeFC7Hu1rXcr2T0NCtyuAshDIGTQKSUsqcQwgFYC3gCYcAgKWVS/r4zgVGAFpgkpfyzmNutKE8XTQ4c/Ar2fw7V28GgFY+8cRqRlMmbq05zPjKF2b3qMbJ14ZUfi8upmFMsOLmAi7Hn6BnlwmfBXpicOoMwNsZh/Os4jRmDgUX5WCj7WfY4PffJwGXg76cPZgCBUsr5QogZ+V9PF0LUAwYDPkAVIEAIUVstkq0oBUi8qa/meGYlZCZAw6HQcyEYFTwdUErJ+lMRfLw1GCklP7/ShK4+LqXS1PNx5/nx3I9cunKQ3pcsmH7eEuOESIxctNhNmojdgAEYV6pUKm1RClekcBdCuAM9gLnAO/mb+wAd8j9fDuwDpudv95dS5gA3hRDXgWbAkWJrtaJUZDotXPsTTi6B64EgDKDOi9B0FNTo+NCVkmLTsnlv4wUCLsfSvLoDXw5sQFWHku8hX4i7wM8nviN3fxCdgg2ZGKpD6NKwbNMG+yGDsWrfHmGkRnjLm6L+iywEpgH3Vu6vLKWMBpBSRgsh/v6R7QYcvWe/iPxt9xFCjAXGAnh4PHxcUVGeKiEBsP1tSA4Ha1f9ItVNhoNNlUcetuNCNLM2XSAjV8v7Pbx5rXV1DEp4fP1CzDk2b5yP3b5zvHYFzHMkhpWcsBvVW79Unfq+LdcKDXchRE8gVkp5SgjRoQjnLOh/nHxgg5SLgEUAfn5+D7yuKE+VnHTY/b5+CMa5rn5Mvc6LYGj8yMPi03P4ZFswm89G4etuy4JBDahVqWRWR8rIy7i7AHXa7j28sO0O/0kBrZkxNt264divPxbNmqnCXRVEUXrurYHeQojugBlgI4RYCcQIIVzze+2uQGz+/hFA1XuOdweiirPRilKh3DoMf4yHpFvQahJ0nFVosS+NVseKo7dYsOcaWbla3u5cmzc61sTYsHhrrcRnxbMpZBNBUUGciz2HQW4eo/4yoN/pPDJruOA4402cunVXN0groELDXUo5E5gJkN9znyKlfEUI8X/AcGB+/sfN+YdsAVYLIRagv6HqBRwv/qYrSjmXlw17P4XD/9WX5B25A6q1KvSwozcSmLPlElfupNHWy4nZvXyoVcmqWJsWnxXPrxd/Zd3VdeRoc/B28OYNm560/OkIhmGROI4eRd1Jk1SdlwrsSe6CzAfWCSFGAeHAQAAp5SUhxDogGNAAb6qZMsozJ+wQbH8X4q6A32vQ5RMwfXRAR6dkMW/HFbaei8LNzpyfXmlCN5/KxTpX/N5Q1+g09KzRkzH1x2Cz8wgxn83HwNqaKosXY9WmdbG9p1I2hJRlP9zt5+cnT548WdbNUJQnlxIJez7QF/qy9YCeX4NX50IP23w2kvc2XiBPJ3m9fU3Gt6+JuUnxjW3fSr3F2qtrWXd1HXm6PHrW6Mk433FUybPkzpyPSNuzB8s2bagy/zOMnEq3Jo3y7wkhTkkp/Qp6Tc1fUpTioMmBI9/DgS9BavXrmbaeDCaPHqvO1eiYuz2Y5Udu0dTTnq8GNsTDsXjGt5Ozk9kVtoutoVs5H38eA2FAzxo9Ges7Fg8LN5LW+BP67bfosrOpNHUqDiNHqPrpTxEV7orypEICYOc0SAyFuj2h21yw9yz0sOiULN5YdZoz4cmMblOd6S/WfeIbplqdln2397E5dDMHIw+i0WnwsvfinSbv0L16dypbVibzxAlufjKJnGvXsGzVisrvz8K0Ro0nel+l/FHhrij/VuJN+PM9uLpDXwvmld+hVuFDMABB1+OZuOYMOXlafhjamO71XZ+4OefizjHv2DyCE4JxMndiaN2h9KrZizoOdQDIi4kh8sMppG7fjnGVKrh99y3WnTur+i9PKRXuivK4cjMhaCEcWggGRtD5I2gxHoxMCz1USskP+0L5avdVajpb8dOwJtR0frKZMPFZ8Sw8tZDNoZupZF6J+W3n082zG0YGRugyM0ndvZu0gADSAgJBo8HpjTdwHDMaA/PSW8RDKX0q3BWlqKSEy1v1vfWU2/DcAOj6SaFPl/5No9Xx3qYLrDsZQa8GVZjfv/4TLVSdp8tj7ZW1fH/2e7K12bz23GuM8x2HaWYe6Vu3k7pnDxmHgpDZ2Rja2mLz4gs4vf46JlWrFn5ypcJT4a4oRZEWo38QKTQQKvno66x7tiny4dl5WiasPkPA5RgmdfLi7c5eTzQccib2DB8f+ZjryddpXaU10xq8jdPpMBImTSH94EHQaDCqXBm7//wH6y5dsPBrouq/PGPUv7aiFObWYVg/ArJT4YXPoeloMCz6t05KVh5jlp/kxK1EPu7jw6stPf91U9Jy0/jm9DesvboWVwsXfnCaSM0DEaS9N4zItDSMnJ1xGDYMmxe6YVa/vpr98gxT4a4oDyMlHP0Bdn+gn/0ybBNU9nmsU8SkZjP81+OExqXz3ZBG9PQt2hBOQQLDA/ns8FzsbsQxL64Odc8no4n8mlRzc6y7dMa2Tx8sW7RQtV8UQIW7ohQsJw02vwnBm/XTG/v+AGa2j3WKG3HpvPrrcZIyclk6ohltvP7dw0ExKVGsWDUdo4OnmHvdEJs0DRhfw7R5c5wnTsCmSxcMLC3/1bmVp5cKd0X5p9jLsHYYJN7Qlw1oNfGhNdYLkpyZy6pj4fxy8AaGQrBmbAt83R++qtI/ZeZlcinhEhfCjsGGHTwXGEaPLInW1Aibdu2x7doNq/btMbSxKfxkyjNLhbui/C0vC4K+gUNfg6kNDN/yWDdNbydmsuTQTdadvE1mrpZ2tZ35qLcP1Z0K71XHZ8Wz7OIyTsac5Fb0Zbqe0NDzuA6rbIhsWAXHl0dTvUtfNX1RKTIV7ooipf5BpF0z9Ito+PSHFz4D66ItX3chIoWfD4Sy40I0BkLQu2EVxrStgbdr4T1rKSV/XP+DL09+iczIYERwJVrsFxhn6DDr0BaXCZPxfu7xxvkVBVS4K8+6+BDYOV0/xdHZG4Zv1S9QXQTnbifzTWAIf12JxcrUiNFtazCytSeutkXrXYenhvPxkY85f+sor11xpf2hXEi9jVXHjji9+SbmKtSVJ6DCXXk26XSwb57+KVNjc3hhfv4Ux0evjARwPiKZhQH6ULezMGZqtzoMa1kNG7PCjwX9w0e/XfqNpcd/4MWTOiafMMEoPQKr9u1xmjAB8/rPPenVKYoKd+UZpNPBtslw+jfwfQm6fgpWlQo97HxEMt8EhBB4T6i/2rIa1kUMda1Oy1+3/2LZsR+oGXiN704aYpaRh1WHDvqeugp1pRipcFeeLfcGe9sp8Pz7hc6EuRCRwjeB1wi4/O9CPUuTxZZLGzi5bTE1zsbxTojAIluHVfu2OE14E/P69YvjyhTlPirclWeHTgfb3soP9ncLDfaLkSksDAgh4HIMtubGTOlam+GtPIsc6nFx4exf9xXZgfvwCcnFNw90VubYdumE46uvqlBXSpQKd+XZoNPB9rfh9PL8YP/gocH+JKGep83j0M29RCz6L8/tDMEnDzJsTDB8sRNVew/BsnkzhHHRfjgoypMoNNyFEGbAAcA0f/8NUsrZQggHYC3gCYQBg6SUSfnHzARGAVpgkpTyzxJpvaIUxd/BfmoZtHnnocEupeTnAzf4YtcVrEyNeLdLbYa39iz0RqmUkgvxF9gaupXIP7cwcGcqfskQ1bQa1cZOoEnr7qrGi1LqitJzzwGel1KmCyGMgUNCiJ1AfyBQSjlfCDEDmAFMF0LUAwYDPkAVIEAIUVstkq2UidxM2DkVzqzUB3unDwsM9tTsPKasO8fu4Bh61HdlXv/62JoX3sO+kXKDKfunkBZ6jdcCJP1DdWg8XKny1Ud4t25bElekKEVSaLhL/Qra6flfGuf/kUAfoEP+9uXAPmB6/nZ/KWUOcFMIcR1oBhwpzoYrSqFC9+rH2JPCoN1U6DirwGC/HJ3K+JWniEjK4oOe9XittWeRyvGeuHOCTzdO5PlTeXQ+Boam5jhPn4DDK0PV0ItS5oo05i6EMAROAbWA76WUx4QQlaWU0QBSymghxN9zydyAo/ccHpG/7Z/nHAuMBfDw8Pj3V6Ao/5SZCH/OgnOrwaHmI2uvbzwdwXubLmBjZsyasS1o6ulQ6Om1qakcWvEFiX9sZP5tCYBtn944v/suxpUKn1KpKKWhSOGeP6TSUAhhB2wSQjxqQm5BXR5ZwDkXAYsA/Pz8HnhdUR6blHBhg76MQHay/sZpu2lgbPbArrFp2SzYfQ3/E7dpUcOBb4c0opL1g/v979SSjEOHSN6wgZS/AqmUp8WwsjnWE4dTue8AjN0e6L8oSpl6rNkyUspkIcQ+4AUgRgjhmt9rdwVi83eLAO5dx8sdiCqOxirKQyWEws5pcD0A3JpAr83g8mAfJC4th5/3h7Ly2C1yNTrGta/B1K51MDJ8+A1PTVISdz76mLRdu8i2MmGvrw75YkcmDl6IiZFJSV6VovxrRZkt4wzk5Qe7OdAZ+BzYAgwH5ud/3Jx/yBZgtRBiAfobql7A8RJou6JAbgYc+BKO/BcMTfVlBJqNBYP7F6yIS8th0YFQVhzVh3rfRm5MfN6r0IqNaXv3Ev3Bh2iTk9nfoyo/+UQxrslEXvd9/YmWyVOUklaUnrsrsDx/3N0AWCel3CaEOAKsE0KMAsKBgQBSyktCiHVAMKAB3lQzZZRiJyVc2gS734fUSGgwBDp/BNaV79stR6NlYUAIS4NuPlaoa9PTifnsM1J+30hyVTs+6yOIdUvlk+af0atmr5K8MkUpFkI/GaZs+fn5yZMnT5Z1M5SKIvYy7JgKYQfBxRe6fwkezR/YLTQunYmrzxAcnUq/Rm5M6lR4qEspyTx6lMhZs9BE32FbK2PWtxb093mJcQ3G4WBW+A1XRSktQohTUkq/gl5TT6gqFYeUcOxn2PMBmFhCz6+h8fAHhmCklKw/FcHszZcwNzFkyXA/OnlXfshJ9XSZmaRs307SGn9ygoOJcTTk21cMqN66M783noyHjZrRpVQsKtyViiEjATa/Add2Qe0Xoc9/wfLBNUlTs/N4f9NFtpyLomUNRxYObkhlm4fPgsm5fp2kNf6kbN6MLj2dFHc71nUzIOX5hsxpNQ1fZ9+SvCpFKTEq3JXy7+YB+H0MZCXCi1/ob5j+42amlJKTt5J4Z91ZopKzmdqtDq+3r4mhQcE3PXPDw7kz5yMyDh9GGBtj2a0ra72TWW54lFd9RvCl37sYCFUyQKm4VLgr5ZdWA/s+g4NfgWMtGLoeXO/vSd9JyWbz2Ug2no7kakwabnbmrBvXgibVCh4bl1KS7O9PzBf/hzAywvnddzDt3Z0p5z/mcNQx3m7yDiN9RqqZMEqFp8JdKX9yM+HiBv34esxFaPSKvsduor8ZmpGj4c9Ld9h0JpJD1+OREhp52PFJHx/6NHJ7aKGvvDt3iJ71PhlBQVi2aoXrvLmk2ZkwNuBNLide5uNWH9PPq19pXqmilBgV7kr5EXcVTv4KZ9dATop+TdMBS+G5/gBcuZPKyqO3+ONMFOk5Gqo6mDOxYy36NnKjhrPVQ08rpSR161bufPIpUqPBZfaH2A0eTHRGNON2Dic6I5qFHRfSoWqHUrpQRSl5KtyVsnc9QL+WadhBMDCGen2g6SjwaEmOVsfOM5GsPHqLk7eSMDEyoKevK4ObetDU077Q4ZOckBBiv15I+l9/Yd64MVU+m4dJtWoE3Arg06OfkqvLZVGXRTSu3LiULlZRSocKd6Xs6HSw/3PYPx9sPaDTbGg0DKycCU/IZNWuK6w/GUFiRi6ejhbM6u7NgCbu2FsW/sh/TkgI8T/+SOrOXRiYm1Npyrs4jBxJbHY88/6azF+3/8LbwZt5beZRy75WKVysopQuFe5K2chJhz9eh8tbocHL0PNrtIam/HUllpVHj3MgJA4DIejsXYlXWlSjdU0nDB4y8+W+016/TvwPP9wNdcexY3EYMRwDO1vWXV3PwtMLydPl8U6TdxhWbxhGBupbQHk6qf/ZSulLugX+L0NsMHSbR/xzo/A/eJvVx8KJSsmmso0pk573YkgzD1xsHz5H/V5ZFy+RsGQxabv+vC/UjeztuZF8gzm7JnMm9gzNXZszu8VsqtpULfykilKBqXBXSldYEKwbpp/mOHQ9h0VD3vj6AMmZebSp5cSHverRybsyxo+o0vg3KSUZBw6Q8OtSMo8dw8DKCsfRo3F4bSRG9vZk5GXw7ckFrLi8AktjSz5t/Sm9a/ZW0xyVZ4IKd6V05GbAicUQ+DHYV0cOWcPKEGPmbD1OdSdL1o1rSe3K1kU6lS43l9Rt20lc+is5IdcxcnGh0rRp2A0aiKGVFVJKtt3YxoKTC4jLiqNvrb681fgtHM0dS/giFaX8UOGulKz0WDi+SB/sWUng1Y3cPj8zZ08Eq49d4/m6lfhmcEOsC1mEGkBqtaRs2Urct9+iiY7GtHZtqnw+H5sXX0SY6G+yXk28yrxj8zgdexofRx8WdlyoSggozyQV7krJiA/R11g/uwa0uVCnO7SeRIJDI8avOs3xm4mM71CTKV3rPLREwN/0qyAFEfvll+RcvYrZc8/h+vFHWLZpgxCCPF0eJ6OOsPPmTjaHbsbWxJY5LefQz6ufKiGgPLNUuCvFR0q4fQyCvoWrO8DQBBoOgZYTwMmLi5EpjPtvEPHpOXwzuCF9Gha+NF12cDCxX35JxuEjGLu747bgK6xfeIEcXS57b+8lMDyQfbf3kZqbirmROS/VeYk3G76JraltKVywopRfKtyVJ6fTwpXtcPhbiDgB5vbQboq+wJdVJa7HpvHtmjNsPR9FJWtT1o1rSYOqdg89ndRoyAgKInnjJtL+/BNDW1sqvzcTu8GDic1L5PPDH7Dn1h6yNFlYm1jTsWpHOnl0omWVlpgbmZfihStK+aXCXfn38rLg7Co48j0k3gB7T/3CGQ1fBhNLfahv1Ye6ubEhr7evydi2NQp8CElKSfalYFK2bCZ1+w60CQkY2triOGYMjmNGo7U049fg31h0fhFanZY+tfrQuVpnmro0xdig8PF6RXnWqHBX/p2USFjZH+KuQJXGMHAZePcGA0OuxaTx/d4zbDmnD/Vx7Woypm11HK1MHzhNTmgoaXv2kLJtG7nXQxHGxlh16IBtn95YtWuHMDHhYMRBPg/8nFupt3i+6vNMbToVd2v30r9mRalAirJAdlXgN8AF0AGLpJTfCCEcgLWAJxAGDJJSJuUfMxMYBWiBSVLKP0uk9UrZiLsKK/pDTiq8vB68upCrley6cIeVR29x/GYiFiYFh7qUkuyLl0gLCCBtzx5yb9wAwLxRI1zmzMHmhW4Y2umHbMJSwvjq0Ffsu70PTxtPfur8E63dWpfJJStKRVOUnrsGeFdKeVoIYQ2cEkLsAUYAgVLK+UKIGcAMYLoQoh4wGPABqgABQojaapHsp0TESVg1QF/ga8R2bpvWYs2fV1l38jbx6blUdTBn+gt1ealpVRzuGX7Ji4khaeUqUrZvQxMVDYaGWDRtiv3Ql7Hu1AljFxeklIQmhxJwzp/A8ECuJF7BwsiCd5q8wyver2BsqIZfFKWoCg13KWU0EJ3/eZoQ4jLgBvQBOuTvthzYB0zP3+4vpcwBbgohrgPNgCPF3XillIUEINcNI9fcmfXe37B9ayZHb+5FAM/XrcwrLTxo5+V8Xw2Y7GvXSPx1KSnbt4NWi1XbtlhPmIhVxw4Y2dsDEJocytZTCwkMDyQsNQyBoIFzA6b4TaF79e44WziX0QUrSsX1WGPuQghPoBFwDKicH/xIKaOFEJXyd3MDjt5zWET+tn+eaywwFsDDQy0+XF7pdJLwxExiDv2G39lZhFCVV9KmEx+biberERM71uKlZh642f1vloqUksxjx0hY8isZBw8izM2xf+klHEYMx8T9f2Plebo8Fl9YzKJziwBo6tKUYfWG0bFqRxXoivKEihzuQggr4HfgLSll6iPqcxT0gnxgg5SLgEUAfn5+D7yulL4cjZaLkSkER6dxJTqVy9GpXL2TxiDtNmYbr+Ck8GGj1xfM8vakdS0nKlnfX9RLSkn6/v3Ef/8D2RcuYOjoiPNbk7F76aW7vfS/3Ui+wXuH3uNSwiV61OjBtKbTcDAreGk8RVEeX5HCXQhhjD7YV0kpN+ZvjhFCuOb32l2B2PztEcC9JffcgajiarBS/KSU/Hkphk+2BROZnAWAtZkR3i7W/OS6jbYxK0it/iJNXl6Kn/GD88j/LuAV99/vyb5wAWM3N1w++gjbvn0wML1/hoxO6lgZvJJvTn+DhbEFX7X/iq6eXUvlOhXlWVKU2TICWAJcllIuuOelLcBwYH7+x833bF8thFiA/oaqF3C8OButFJ/rsel8tPUSB0PiqVPZmu9fbkyDqra42Rgjtr0FZ1ZCk5HY9PgKDAzvO1ZKScbBg/pQP38eYzc3XD/9BNs+fRDGD978jEiL4IOgDzgZc5IO7h2Y3Wo2TuZOpXWpivJMKUrPvTUwDLgghDibv+099KG+TggxCggHBgJIKS8JIdYBwehn2rypZsqUP+k5Gr4NDOHXQzcxNzFkTq96vNKiGkaGBvqHk9a9qi8h0H46dJgJ/xiGywkNJXr2bLJOnio01HO0OSy9uJQlF5ZgaGDIJ60/oU/NPqr0rqKUoKLMljlEwePoAJ0ecsxcYO4TtEspQdvPR/PR1kvEpuXwkl9Vpr5QB6e/56JnJcOaIRB+RP+0abMx9x0rc3OJ/+UXEn76GWFhgcuc2dj173+3KuN9+0rJvtv7+OLEF0SkR9C1WlemNp2Ki6VLaVymojzT1BOqz5CkjFw+3HKJreeiqO9my6JX/Wh4b42X1ChYOQDir8GAX+G5/vcdn3n6DNEffkDu9VBsunen8nszMXIqeFjlVuot5h+fz6HIQ9S0rcnirotp7tq8JC9PUZR7qHB/Ruy9Esu038+TlJHLlK61eb19Tf0QDEBGvL7o1/FfQBjA0PVQs+PdY7Xp6cQt+JqkNWswcnHB/acfse7QocD3ydZks+j8IpZdWoapoSlT/aYyxHuIqv+iKKVMhftTLj1Hw9ztwaw5fps6la1ZOqIpz7nll8PNSPhfqOdlQv0B0H4GONUCQOblkbxhA3H//R5tYiL2r7yC8+TJGFpZFvhex6OP89GRjwhPC6d3zd683eRtdcNUUcqICven2ImwRN5ee5ao5Cxeb1+Tt7t4YWpkCGl34NhPcGzR/0K93VRwrgPox8rTAgKI+2oBuWFhmPs1ofKPP2DuW/CKRik5KSw4tYCNIRupal2VX7r+QgvXFqV5qYqi/IMK96eQRqvjv3uv821gCFUdLFg3riV+Nslw7Hu4vFVfcx3guf9A+2l3Qx304+qx//d/ZJ05g0nNmrj/8ANWHTsUOLNFSsmft/5k/rH5JOck89pzr/F6g9dVTXVFKQdUuD9lopKzeMv/LMfDEhn5nAkzXI5guvN9iLmo38HFFzrOAp9+/xt+0WpJ37+fpNVryDh0CENnJ1w+/kg/C8bowf8iebo89obvxf+qPyfunKCeYz1+7Pwj3o7epXmpiqI8ggr3p8ifl+4wbcN5NFodyztpaH9mElxPAI8W0G0e1O2hX1AjnyYujuQNG0hatx5NdDRGzs44vzUZh1dfxcDC4oHz38m4w4ZrG9gYspG4rDhcLV2Z3nQ6g+sOxshA/VdSlPJEfUc+BbLztMzdfpkVR29R382WX32Dcd7/HthXg5E77ht2kVKSdfo0iStWkhYQABoNFi1bUHnGDKyf7/jAQ0h3Mu5wNvYsO27uYH/EfqSUtHFrw+w6s2nj1gbDfzy1qihK+aDCvQILi89g1bFbrD8VQXJmHmNaV2WGwQoM9y6Cmp1gwBL9eqboh17SAgJJ+HUJ2efOY2Bri8PQodgNfgnT6tUB0Oq0XEm4xNnYs5yLPceZuDPcybgDgIOZAyN9RjKg9gC1CpKiVAAq3CsYjVZH4JVYVh69xcGQeAwNBF3rVWbM/7d371FVVusex7/PQm4CcpOFhqiRmHlF5ZilJmnubenWvOTpsruoO+1mlnXSLnvrznajGltLK+t4zOxmZmVlaZpZaqmpqCheE00EQWFxEQVEWGueP9aqKKncBSzXy/MZw7HWOxe873wGwx/vmO9kzu4RdNt8P3y3Fi67B676J/g1wlVeTvEHH1C44DUqjxzBPz6e2H/8nYhhw7AF//jgc0f+DqZtmEZGcQYAsY1j6WrvSlKHJJJikmgb1VbnqivlQzTcfcjHO3J4cvleck+cplmTIO6/qi3X94gn9sROWDICSo7C0DnQ9SaqCgspemshRQsX4iwqIqhLZ+wPPEDYVf0Rvx+HUkorS5m1bRaL9i3C3tjO9F7T6dm8py4RoJSP03D3AcYYXvgigxmrvqVLfATThnSg/8VNaZTxGbw3wb0OTGgs3LaMM047BdOmceKDDzEVFYT260f02DEEd+t21nTGtVlrmf7NdPLK8rih3Q3c2+1eQvxr/gMlpZRv0XA/z1U6XTyyJJ13t2YzrGscTw1NJHD3u/DSC1BwAMJbwsCnKLN1pvCZNzj5+WrE35/woUOJGn0bgQkJZ50zvyyfp7c8zcrDK2kT0YYZKTPoEtPFC9UppeqKhvt5rOR0JXe9uY2vMxxMvLI194WvQ54fCaX57vnqI16hnLbkzXyWso2zsYWHE33HeKJuuqnGBb0c5Q7m75rP4v2LcRkX9yTdw5iOY3TjaaUsSMP9PJVdVMaYBVs4lF/KgpTTpBz8G+TtgQuvgD6vcCbgIvJnzabk47/jFxmJfcpkIkeNqnF+uqPcwau7XmXx/sVUuioZlDCI8Z3H07KJ7l2rlFVpuJ+HdmYXM/a1VMLP5LExcRkx33ziHn757zdxNuuNY+7/UfTmBLDZiB4/nui/jcUvLOys8xSUF/xwp37GdYbBCYM11JVqIDTcVlfWfAAADa1JREFUzzMfpR3lsfdSuSvoM8b7L8F21AV9p+DsejtF7yyh4JWBuE6eJHz4MGImTMC/2dmzWqpcVbyz/x1e3P4ipVWlDE4YzLjO42jVpJUXKlJKeYOG+3nC5TK8sHwzpzfO46vAVURUFUG7wTh7P0rR8vUUPvwXnMXFhPbtS8ykSQRd3LbG82w5toUnNz1JRnEGlzW/jCk9ppAQcfZDVaWUtZ3LBtnzgcFAnjGmo6ctCngHaA0cBkYZY4o8nz0MjAWcwL3GmJV10nMLOXUsg28WPsHYE8sJ8a/A1bo/zu53ULQ+k8KRY3EWFxPS9wpi7r77F5fdPVZ6jBmpM1hxeAUXhFzAcynP0a9lP92nVKkG6lzu3BcALwCvV2ubAqw2xjwlIlM8x5NFpD1wPdABuAD4XETa6gbZvyBnO6VfziT4wCf0NcKRuGuI63wTJev3Ujx26m+GesmZEjbnbmZ9znqWHVqG0+Xkzi53MrrjaF12V6kG7lw2yF4nIq1/1jwUSPG8fw1YA0z2tC8yxlQA34lIBtAD2Fg73bUAlwsyPsesn4Vkfo0hmEWn/0SH8G6Er9jMdzMngZ8foVdcQdM7xhPc5cf5506Xk3RHOhtyNrAhZwPpjnRcxkWIfwgp8SlM6DqB+LB4LxanlDpf/N4x91hjTC6AMSZXROye9jjgm2pfl+1pU1UVkP4ubHge8vfhkGg+zB6I/Ugl3Y7uBudOaN+e2Ecepsk11/xknnp5VTkfZXzE63teJ+tkFjax0TG6I7d3up3LL7icTjGddN0XpdRP1PYD1ZoGeE2NXygyDhgH0LKlhafmGQM734FVU+HUMY40as3irBG0+zaX3vk78bPbiRgzhvChQwhs0+Yn31pQXsCi/YtYtG8RxRXFdG7ambuT7qZ3XG/CA8O9VJBSyhf83nA/LiLNPXftzYE8T3s2UH1coAWQU9MJjDFzgbkAycnJNf4C8Hmn8uGT+2DfJxwOas+rWQNI2n+QQY6N+DVrRsy0aYQPH4YtIOCHbymrLGOXYxcrDq9g6cGlVDgrSIlPYXSH0XS1d9UHpEqpc/J7w30pcCvwlOf1o2rtC0VkJu4HqonA5j/aSV/k3L0U59KJSMVJ5ub9heY7HFxfsBpbbCz2aVMJHz4cW0CAezOMo2lsz9tOWn4a+wv34zRO/G3+DLloCLd0uIWEcJ3KqJT6z5zLVMi3cT88bSoi2cBU3KG+WETGAkeA6wCMMbtFZDGwB6gC7m5oM2Xy8o5T8N59XJK3nD3OVqw+dDUD0r7CLzKC2Kn/IHzECGwBARwpOcLTXz3Nuux1AAQ3CqZT006M6TiGrvaudLF3oUlAEy9Xo5TyVWKM90dEkpOTTWpqqre78YdkFpTy6ceLGfrd48RQzPKAkbTYdYbg7ZsJ7d+f5k9Mp1FkJGWVZcxLn8eC3Qvwt/kzuuNo+rToQ9tI3QxDKfWfEZGtxpjkmj7Tv1D9gzILSpmzeh8t02dzp+0jCoPiOdr6UdrNeQ3XiRLsf3+MyBtvBGDl4ZX8O/XfHCs9xuCEwUzqPomYxjFerkApZUUa7r9TZkEpL3yRwabtaTzn/zzd/A5Q2nYUrqOJlD0+k4CEBFrOm4d/Yhs2HdvEvJ3z2HRsE+2i2vF0n6fpFtvN2yUopSxMw/0cOV2G3TknWPdtPusOONiaWcQgv02sDJqH09GInMrBnPwkDdepr4m47jpO3TmKl3KXs+z9ZRwvO054YDiPXfoYI9uOxM/m99sXVEqpP0DD/VecrnSydEcO677NZ32Gg6KySgB6NLOxpPGrNN+2keysSKpOOrE13kfwgP5sS45gYVAae1fdgJ/40SuuFw8mP0hKfApBjYK8XJFSqqHQcP8FWYVl3PXWNtKPnsAeFki/drH8ucUZLt07n5JFqziV5U+BNCGkV0/sQ6/lQKdIJm6dztFTR2kf3J7J/zWZqy+8mujgaG+XopRqgDTca/Dl/jzuW5SGyxhe/mt3/hx9HOfKmeQ/uYacg8HYAoJoOno4EaPvwRUdzuxts3lj7RvEhcaxYOACusd293YJSqkGTsO9GqfLMGv1AZ7/4gDtmjVh/gAbsRtux7FiGwX7wjCuECJHDqHp/Q/RKCqK3QW7efTjcRw8cZBRbUfxQPIDNPY/e5s7pZSqbxruHoWlZ5i4aDtfHXBwS6fG/I/jfyl7ZC0ZmSE4y5sQNqAf9gcfIqBVKyqdlbyU9hJzd84lKiiKl696mV5xvbxdglJK/aBBhntpRRVHCsvILCjjSGEpmQVlrN2TS4vvdrG0Yh1BK/eSXW4DvzBCL7+cpvdMILhLF4wxrDy8klnbZpF1MotBCYN4uMfDuoiXUuq802DC3eUyvLUpkxe/PMixktM/fmAMI45u5oX0pQRWVCB+LhonNiHsutsJHXLDDxtPpx5L5dmtz7LTsZM2EW2Y038OfVr08VI1Sin16xpEuB84fpIpS9LZmlnEpRdGcfNlrWgVFUxiQRqBs2dSvi+XxvYKoroGE3LbdGxJI8Cz+uKh4kM8u+1Z1mStwd7YzuOXP86Qi4boXHWl1HnN0uFeUeVkzpcHmbMmg5DARswY2Ynh9lzY+yolc5dybN0ZTrtABkSyZmBn8qIvpOBUKgWrVuIod1B4upDC04WE+ocysdtEbrrkJt2+TinlEywb7qmHC5myJJ3DecXcn5jHmKhdBK+ZQJUjj9ytkZzKCqSwdRNeujaUHcEOcGwkqGg70cHRRAdHEx8WT5I9ibjQOIYnDicqKMrbJSml1DmzXLifrnTyzKd7yfxmCZOCtjGgyTb8s05Q9V0IGQVtObklAL/yKt650sanPSu5NK4d01peRd/4vkQHRetmGEopS7BUuKdlFTP37cWMO/USSQGHcPmHUx5wOVkHqijfvAeb8zgHW/ux9+be9LpsGFNa9CEsIMzb3VZKqVpniXA/U+XilRWbiN70FHP81lDmZ6cwcAyF6/ZTeWgHp4KEtd1t2K4dyM0DJzNSl9lVSlmcz4f7/pwivnzzSW4seROTC5knulO2Lx+qVnC4hT/LBtnwH5DChJ4PkBCh29UppRoGnw73HalfEzD/DoZmlpCbHYWpcFERcYJ1PQL4rJ0hvEMnJiVP0rVelFINjk+He6vCInK/cFIYEM6BLtG8f1EBu1pX0ju+L5MvHkXvuN76gFQp1SDVWbiLyEBgFuAHzDPGPFXb18ju3JK3r4vms/hiQiOE4YnjeCZxJM1Dm9f2pZRSyqfUSbiLiB/wIjAAyAa2iMhSY8ye2rxOfGRrCq7oyBOJw+jXsp9uMK2UUh51defeA8gwxhwCEJFFwFCgVsM9PDCclwe8XJunVEopS7DV0XnjgKxqx9meth+IyDgRSRWR1Pz8/DrqhlJKNUx1Fe41PcU0PzkwZq4xJtkYkxwTo/POlVKqNtVVuGcD8dWOWwA5dXQtpZRSP1NX4b4FSBSRC0UkALgeWFpH11JKKfUzdfJA1RhTJSL3ACtxT4Wcb4zZXRfXUkopdbY6m+dujFkOLK+r8yullPpldTUso5RSyos03JVSyoLEGPPbX1XXnRDJBzL/wCmaAo5a6s75riHVClqvlTWkWqFu6m1ljKlxLvl5Ee5/lIikGmOSvd2P+tCQagWt18oaUq1Q//XqsIxSSlmQhrtSSlmQVcJ9rrc7UI8aUq2g9VpZQ6oV6rleS4y5K6WU+imr3LkrpZSqRsNdKaUsyKfDXUQGish+EckQkSne7k9tE5H5IpInIruqtUWJyCoROeB5jfRmH2uLiMSLyJcisldEdovIRE+7VesNEpHNIrLDU+8/Pe2WrBfcO7SJyHYR+cRzbOVaD4tIuoikiUiqp61e6/XZcK+2ld/VQHvgBhFp791e1boFwMCftU0BVhtjEoHVnmMrqAIeMMZcAvQE7vb8PK1abwXQzxjTBUgCBopIT6xbL8BEYG+1YyvXCnClMSap2tz2eq3XZ8Odalv5GWPOAN9v5WcZxph1QOHPmocCr3nevwZcW6+dqiPGmFxjzDbP+5O4QyAO69ZrjDGnPIf+nn8Gi9YrIi2AQcC8as2WrPVX1Gu9vhzuv7mVn0XFGmNywR2IgN3L/al1ItIa6ApswsL1eoYp0oA8YJUxxsr1Pgc8BLiqtVm1VnD/ov5MRLaKyDhPW73WW2dL/taD39zKT/keEQkF3gfuM8aUiNT0Y7YGY4wTSBKRCOADEeno7T7VBREZDOQZY7aKSIq3+1NPehljckTEDqwSkX313QFfvnNvqFv5HReR5gCe1zwv96fWiIg/7mB/yxizxNNs2Xq/Z4wpBtbgfr5ixXp7AUNE5DDu4dN+IvIm1qwVAGNMjuc1D/gA9zByvdbry+HeULfyWwrc6nl/K/CRF/tSa8R9i/4KsNcYM7PaR1atN8Zzx46IBANXAfuwYL3GmIeNMS2MMa1x/z/9whjzVyxYK4CIhIhI2PfvgT8Bu6jnen36L1RF5BrcY3nfb+X3Ly93qVaJyNtACu6lQo8DU4EPgcVAS+AIcJ0x5ucPXX2OiPQGvgLS+XFc9hHc4+5WrLcz7odqfrhvshYbYx4XkWgsWO/3PMMyDxpjBlu1VhFJwH23Du6h74XGmH/Vd70+He5KKaVq5svDMkoppX6BhrtSSlmQhrtSSlmQhrtSSlmQhrtSSlmQhrtSSlmQhrtSSlnQ/wPUzcr2mJEbgwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "dv[['ytd_21', 'ytd_20', 'ytd_19', 'ytd_18']].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x18885eb2b80>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "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": [
    "dv[['weekly_21', 'weekly_20', 'weekly_19', 'weekly_18']].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Week          26.500000\n",
       "weekly_21     12.187500\n",
       "weekly_20     14.115385\n",
       "weekly_19     10.211538\n",
       "weekly_18     10.000000\n",
       "ytd_21       299.895833\n",
       "ytd_20       355.634615\n",
       "ytd_19       275.192308\n",
       "ytd_18       277.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dv.mean(skipna=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Cleaning and Feature Creation"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculate average run rate of 2021 and project rate of domestic violence (dv) through end of 2021.\n",
    "This projected rate is used for a powerpoint presentation graph. I've embedded the graph in the notebook right below this text."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![Yearly Reported Domestic Violence Cases](images/yearly_reported_dv_cases.png)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "projected cases left in 2021: 49.0\n",
      "Total 2021 cases + projected cases: 634.0\n"
     ]
    }
   ],
   "source": [
    "# calculate average dv cases per week and multiply them by weeks left in 2021.\n",
    "idx = dv['ytd_21'].last_valid_index()\n",
    "ytd_cases = dv['ytd_21'].loc[idx]\n",
    "rate = ytd_cases/dv['Week'].loc[idx]\n",
    "weeksleft = 52 - dv['Week'].loc[idx]\n",
    "projected_cases = round(rate*weeksleft)\n",
    "print(\"projected cases left in 2021: \" + str(projected_cases))\n",
    "print (\"Total 2021 cases + projected cases: \" + str(projected_cases + ytd_cases))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create a dataframes that are continuous timeseries that can be used for plotting timeseries graphs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create timeseries for each year for easy manipulation\n",
    "time21 = dv[['weekly_21']].copy()\n",
    "time20 = dv[['weekly_20']].copy()\n",
    "time19 = dv[['weekly_19']].copy()\n",
    "time18 = dv[['weekly_18']].copy()\n",
    "\n",
    "time21.rename(columns={\"weekly_21\": \"weekly_cases\"}, inplace=True)\n",
    "time20.rename(columns={\"weekly_20\": \"weekly_cases\"}, inplace=True)\n",
    "time19.rename(columns={\"weekly_19\": \"weekly_cases\"}, inplace=True)\n",
    "time18.rename(columns={\"weekly_18\": \"weekly_cases\"}, inplace=True)\n",
    "\n",
    "time21['year']=2021\n",
    "time20['year']=2020\n",
    "time19['year']=2019\n",
    "time18['year']=2018"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create time series for precovid times and postcovid times. Definined by the first case identified in Atlanta, GA\n",
    "\n",
    "Date determined by Georgia Department of Public Health statement: https://dph.georgia.gov/press-releases/2020-03-02/gov-kemp-officials-confirm-two-cases-covid-19-georgia\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create time series for precovid times and postcovid times. Definined by the first case identified in Atlanta, GA\n",
    "precovid = pd.concat([time18, time19], ignore_index=True)\n",
    "covid = pd.concat([time20, time21], ignore_index=True)\n",
    "\n",
    "#Add a weekly datetime column to the precovid dataframe\n",
    "start = datetime.datetime(2018, 1, 1)\n",
    "dates = []\n",
    "for i in range(len(precovid)):\n",
    "    time = start + datetime.timedelta(weeks=i)\n",
    "    dates.append(time)\n",
    "\n",
    "precovid['date'] = dates\n",
    "\n",
    "#Add a weekly datetime column to the covid dataframe\n",
    "start = datetime.datetime(2020, 1, 1)\n",
    "dates = []\n",
    "for i in range(len(covid)):\n",
    "    time = start + datetime.timedelta(weeks=i)\n",
    "    dates.append(time)\n",
    "\n",
    "covid['date'] = dates\n",
    "\n",
    "# Actualy set accurate dates for the dataframes\n",
    "early_2020 = covid.drop(covid[covid.date>=datetime.datetime(2020, 3, 2)].index)\n",
    "covid.drop(covid[covid.date<datetime.datetime(2020, 3, 2)].index, inplace=True)\n",
    "precovid =  pd.concat([precovid, early_2020], ignore_index=True)\n",
    "precovid['pandemic_status'] = 'prepandemic'\n",
    "covid['pandemic_status'] = 'pandemic'\n",
    "# cleaning of covid df\n",
    "covid.dropna(inplace=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Timestamp('2020-03-04 00:00:00')"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min(covid.date)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create final combined timeseries with prepandemic and pandemic flags and a date column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "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",
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       "    }\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>weekly_cases</th>\n",
       "      <th>year</th>\n",
       "      <th>date</th>\n",
       "      <th>pandemic_status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>12.0</td>\n",
       "      <td>2018</td>\n",
       "      <td>2018-01-01</td>\n",
       "      <td>prepandemic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>8.0</td>\n",
       "      <td>2018</td>\n",
       "      <td>2018-01-08</td>\n",
       "      <td>prepandemic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>9.0</td>\n",
       "      <td>2018</td>\n",
       "      <td>2018-01-15</td>\n",
       "      <td>prepandemic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>15.0</td>\n",
       "      <td>2018</td>\n",
       "      <td>2018-01-22</td>\n",
       "      <td>prepandemic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.0</td>\n",
       "      <td>2018</td>\n",
       "      <td>2018-01-29</td>\n",
       "      <td>prepandemic</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   weekly_cases  year       date pandemic_status\n",
       "0          12.0  2018 2018-01-01     prepandemic\n",
       "1           8.0  2018 2018-01-08     prepandemic\n",
       "2           9.0  2018 2018-01-15     prepandemic\n",
       "3          15.0  2018 2018-01-22     prepandemic\n",
       "4           7.0  2018 2018-01-29     prepandemic"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts = pd.concat([precovid, covid], ignore_index=True)\n",
    "ts.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "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>weekly_cases</th>\n",
       "      <th>year</th>\n",
       "      <th>date</th>\n",
       "      <th>pandemic_status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>10.0</td>\n",
       "      <td>2020</td>\n",
       "      <td>2020-03-04</td>\n",
       "      <td>pandemic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>13.0</td>\n",
       "      <td>2020</td>\n",
       "      <td>2020-03-11</td>\n",
       "      <td>pandemic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>10.0</td>\n",
       "      <td>2020</td>\n",
       "      <td>2020-03-18</td>\n",
       "      <td>pandemic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>18.0</td>\n",
       "      <td>2020</td>\n",
       "      <td>2020-03-25</td>\n",
       "      <td>pandemic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>7.0</td>\n",
       "      <td>2020</td>\n",
       "      <td>2020-04-01</td>\n",
       "      <td>pandemic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>5.0</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-10-27</td>\n",
       "      <td>pandemic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>14.0</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-11-03</td>\n",
       "      <td>pandemic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>201</th>\n",
       "      <td>8.0</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-11-10</td>\n",
       "      <td>pandemic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202</th>\n",
       "      <td>8.0</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-11-17</td>\n",
       "      <td>pandemic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>203</th>\n",
       "      <td>14.0</td>\n",
       "      <td>2021</td>\n",
       "      <td>2021-11-24</td>\n",
       "      <td>pandemic</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>91 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     weekly_cases  year       date pandemic_status\n",
       "113          10.0  2020 2020-03-04        pandemic\n",
       "114          13.0  2020 2020-03-11        pandemic\n",
       "115          10.0  2020 2020-03-18        pandemic\n",
       "116          18.0  2020 2020-03-25        pandemic\n",
       "117           7.0  2020 2020-04-01        pandemic\n",
       "..            ...   ...        ...             ...\n",
       "199           5.0  2021 2021-10-27        pandemic\n",
       "200          14.0  2021 2021-11-03        pandemic\n",
       "201           8.0  2021 2021-11-10        pandemic\n",
       "202           8.0  2021 2021-11-17        pandemic\n",
       "203          14.0  2021 2021-11-24        pandemic\n",
       "\n",
       "[91 rows x 4 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ts[ts.pandemic_status == 'pandemic']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Define some important dates as variables. Dates found by announcements made by Atlanta Mayor and Georgia Governer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "first_case = datetime.datetime(2020, 3, 2)\n",
    "maskmandate = datetime.datetime(2020, 4, 3)\n",
    "vaccine_over16= datetime.datetime(2021, 3,25)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create a vaccine status column for the covid dataset. \n",
    "Created after ts creation so ts doesn't contain an unnecessary column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "covid['vaccine'] = np.where(covid.date<vaccine_over16, 'pre-vaccine','post-vaccine')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Begin Statistical Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "precovid \n",
      "\n",
      "standard deviation\n",
      "weekly_cases                       3.406949\n",
      "year                               0.631305\n",
      "date            229 days 14:32:15.933576296\n",
      "dtype: object\n",
      "\n",
      " mean\n",
      "weekly_cases      10.230088\n",
      "year            2018.619469\n",
      "dtype: float64\n",
      "\n",
      "\n",
      " covid \n",
      "\n",
      "standard deviation\n",
      "weekly_cases                       4.131773\n",
      "year                               0.502011\n",
      "date            184 days 21:26:52.494674234\n",
      "dtype: object\n",
      "\n",
      " mean\n",
      "weekly_cases      13.340659\n",
      "year            2020.527473\n",
      "dtype: float64\n"
     ]
    }
   ],
   "source": [
    "# high level summary info\n",
    "print('precovid \\n')\n",
    "print('standard deviation')\n",
    "print(precovid.std())\n",
    "print('\\n mean')\n",
    "print(precovid.mean())\n",
    "print('\\n\\n covid \\n')\n",
    "print('standard deviation')\n",
    "print(covid.std())\n",
    "print('\\n mean')\n",
    "print(covid.mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Run a welch t-test to test if the number of weekly reported domestic violence cases pre-COVID-19 are meaningfully less than the number of reported domestic violence cases during the COVID-19 pandemic for Atlanta, GA. \n",
    "\n",
    "H0: Domestic violence cases during the COVID-19 pandemic are equal to or less than domestic violence cases before the COVID-19 pandemic.\n",
    "\n",
    "H1: Domestic violence cases during the COVID-19 pandemic are greater than domestic violence cases before the COVID-19 pandemic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "max p: 0.0015532296851984244\n",
      "mean p: 0.0001576507392028799\n",
      "number of p values >= .05: 0\n"
     ]
    }
   ],
   "source": [
    "p_list =[]\n",
    "for _ in range(50):\n",
    "    p = stats.ttest_ind(covid.weekly_cases.sample(60).values, precovid.weekly_cases.sample(60).values, equal_var=False, alternative = 'greater').pvalue\n",
    "    p_list.append(p)\n",
    "print(\"max p: \" + str(max(p_list)))\n",
    "print(\"mean p: \" + str(mean(p_list)))\n",
    "print(\"number of p values >= .05: \" + str(sum(map(lambda x : x >= 0.05, p_list))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### in my analysis I recieved entirely p values < .05 so I confidently reject the null hypothesis in support of the alternative H1. Domestic violence cases during the COVID-19 pandemic are greater than domestic violence cases before the COVID-19 pandemic"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Run a welch t-test to see if the reported number of weekly domestic violence cases during the pandemic but before the vaccine are greater than reported number of weekly DV cases after the vaccine was released for Atlanta, GA. \n",
    "H0: the weekly reported number of domestic violence cases after the COVID-19 vaccine are equal to or greater than the weekly reported number of domestic violence cases during the pandemic but before vaccine.\n",
    "\n",
    "H1: The weekly reported number of domestic violence cases after the COVID-19 vaccine are less than the weekly reported number of domestic violence cases during the pandemic but before vaccine."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "max p: 0.19232359723828307\n",
      "mean p: 0.035326635246467626\n",
      "number of p values >= .05: 13\n"
     ]
    }
   ],
   "source": [
    "p_list =[]\n",
    "for _ in range(50):\n",
    "    p = stats.ttest_ind(covid[covid.vaccine == 'post-vaccine'].weekly_cases.sample(30).values, covid[covid.vaccine == 'pre-vaccine'].weekly_cases.sample(30).values,alternative = 'less', equal_var=False).pvalue\n",
    "    p_list.append(p)\n",
    "print(\"max p: \" + str(max(p_list)))\n",
    "print(\"mean p: \" + str(mean(p_list)))\n",
    "print(\"number of p values >= .05: \" + str(sum(map(lambda x : x >= 0.05, p_list))))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### In my analysis I recieved several p-values > .05 so I fail to reject the null hypothesis H0. I cannot say that the weekly reported number of domestic violence cases after the COVID-19 vaccine are less than the weekly reported number of domestic violence cases during the pandemic but before vaccine."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Change Point Detection using Ruptures Library\n",
    "## I use changepoint detection to help verify my t-test results and for further insight into the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "points=np.array(ts['weekly_cases'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot the changepoints"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(<Figure size 720x432 with 1 Axes>,\n",
       " [<matplotlib.axes._subplots.AxesSubplot at 0x18885f5e640>])"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Change Point Detection: Window-Based Search Method')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x432 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Changepoint detection with window-based search method\n",
    "model = \"l2\"  \n",
    "algo = rpt.Window(width=40, model=model).fit(points)\n",
    "my_bkps = algo.predict(n_bkps=10)\n",
    "rpt.show.display(points, my_bkps, figsize=(10, 6))\n",
    "plt.title('Change Point Detection: Window-Based Search Method')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Print the dates of the changepoints"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "change point: \n",
      "2019-02-18 00:00:00\n",
      "\n",
      "\n",
      "change point: \n",
      "2020-03-11 00:00:00\n",
      "\n",
      "\n",
      "change point: \n",
      "2020-12-16 00:00:00\n",
      "\n",
      "\n",
      "change point: \n",
      "2021-11-24 00:00:00\n",
      "\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for i in my_bkps:\n",
    "    print('change point: ')\n",
    "    print(ts.iloc[i-1]['date'])\n",
    "    print('\\n')\n",
    "    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Brief interpretation of changepoints."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "02/18/2019 cannot be explained by the data I have available to me.\n",
    "\n",
    "03/11/2020 is the start of the pandemic and is 9 days after the first case reported in Atlanta 03/02/2020 and 12 days before the official lockdown 03/23/2020. This helps to confirm the welch t-test to test if the number of weekly reported domestic violence cases pre-COVID-19 are meaningfully less than the number of reported domestic violence cases during the COVID-19 pandemic for Atlanta, GA. \n",
    "\n",
    "\n",
    "12/16/2020 is during the height of the pandemic. COVID-19 cases were on the rise and would continue to rise until their peak in mid-late January 2021. This change point is not easily explained by the available data.\n",
    "\n",
    "12/22/2021 is the last NULL point in the dataset and is not important.\n",
    "\n",
    "The lack of change point for the vaccine availability is an indication that I was correct in not rejecting the null hypothesis H0: the weekly reported number of domestic violence cases during the pandemic but before the vaccine are equal to or less than the weekly reported number of domestic violence cases after the vaccine was available to the public.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plotting of domestic violence cases over time"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Normamalize method for layering COVID-19 cases onto plots of domestic violence data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "def NormalizeData(data):\n",
    "    return (data - np.min(data)) / (np.max(data) - np.min(data))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Calculate some constants for including mean and std bars on plots"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "mean_prevac = np.asarray([covid[covid.vaccine == 'pre-vaccine'].weekly_cases.mean()]*len(covid[covid.vaccine == 'pre-vaccine']))\n",
    "std_prevac = np.asarray([covid[covid.vaccine == 'pre-vaccine'].weekly_cases.std()]*len(covid[covid.vaccine == 'pre-vaccine']))\n",
    "\n",
    "mean_postvac = np.asarray([covid[covid.vaccine == 'post-vaccine'].weekly_cases.mean()]*len(covid[covid.vaccine == 'post-vaccine']))\n",
    "std_postvac = np.asarray([covid[covid.vaccine == 'post-vaccine'].weekly_cases.std()]*len(covid[covid.vaccine == 'post-vaccine']))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot Weekly reported DV cases during the pandemic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x18885fcde50>]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x18885fff8b0>]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PolyCollection at 0x18885f26760>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x18885fffdc0>]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.lines.Line2D at 0x18886d0a280>]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.collections.PolyCollection at 0x18886d0a3a0>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'weekly reported DV cases')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x18885ff1df0>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(2020-03-23 00:00:00, 25, 'Atlanta lockdown')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x18885ff1ee0>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'weekly reported DV cases')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x18885fffee0>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(2021-04-02 00:00:00, 25, 'COVID-19 vaccine available')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(2021-04-02 00:00:00, 23, 'to Georgians 16+')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'weekly reported DV cases')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Weekly reported DV cases during the pandemic')"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.style.use('dark_background')\n",
    "plt.rcParams[\"figure.figsize\"] = (16,4)\n",
    "\n",
    "\n",
    "_, ax = plt.subplots()\n",
    "plt.plot(covid[covid.vaccine == 'pre-vaccine'].date, mean_prevac, label='mean cases', color='w',linestyle='--')    \n",
    "plt.plot(covid[covid.vaccine == 'pre-vaccine'].date, covid[covid.vaccine == 'pre-vaccine'].weekly_cases, label='cases', color='w')    \n",
    "plt.fill_between(covid[covid.vaccine == 'pre-vaccine'].date, mean_prevac - std_prevac, mean_prevac + std_prevac, color='g', alpha=0.2)\n",
    "plt.plot(covid[covid.vaccine == 'post-vaccine'].date, mean_postvac, label='mean cases', color='c',linestyle='--') \n",
    "plt.plot(covid[covid.vaccine == 'post-vaccine'].date, covid[covid.vaccine == 'post-vaccine'].weekly_cases, label='cases', color='c')    \n",
    "plt.fill_between(covid[covid.vaccine == 'post-vaccine'].date, mean_postvac - std_postvac, mean_postvac + std_postvac, color='b', alpha=0.2)\n",
    "ax.set_ylabel('weekly reported DV cases')\n",
    "plt.axvline(datetime.datetime(2020, 3,23), linestyle=':',alpha=0.7)\n",
    "plt.text(datetime.datetime(2020, 3,23),25,'Atlanta lockdown',rotation=0)\n",
    "ax.legend(['pre-vaccine mean', 'pre-vaccine','post-vaccine mean','post-vaccine'], loc='best')\n",
    "ax.set_ylabel('weekly reported DV cases')\n",
    "plt.axvline(datetime.datetime(2021, 3,25), linestyle=':',alpha=0.7)\n",
    "plt.text(vaccine_over16+ datetime.timedelta(days=8),25,'COVID-19 vaccine available',rotation=0)\n",
    "plt.text(vaccine_over16+ datetime.timedelta(days=8),23,'to Georgians 16+',rotation=0)\n",
    "ax.set_ylabel('weekly reported DV cases')\n",
    "ax.set_title(\"Weekly reported DV cases during the pandemic\")\n",
    "\n",
    "plt.savefig('images/pre_post_vaccine_domestic_violence_cases.png', transparent=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot Weekly reported dv cases from 2018 to today colored by year"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Normalize active covid infections for layering on plot "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "mcc_cobb['Active COVID Cases'] = NormalizeData(mcc_cobb['infected'])*30"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x18886d5cb80>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x18886d5cb80>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x18886d5cb80>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x18886d5cb80>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x18886d78e50>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'weekly reported dv cases')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'date')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x18886d5cb80>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x18886d78df0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(2020-03-23 00:00:00, 29, 'Atlanta lockdown')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x18886f827c0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(2021-05-27 00:00:00, 22, 'Reopen (Phase 3)')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x18886f82e80>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(2021-04-02 00:00:00, 29, 'COVID-19 vaccine available')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(2021-04-02 00:00:00, 27, 'to Georgians 16+')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Weekly reported dv cases from 2018 to today')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = (16,4)\n",
    "plt.style.use('dark_background')\n",
    "\n",
    "_, ax = plt.subplots()\n",
    "colors = {2018:'g', 2019:'b',2020:'r', 2021:'c'}\n",
    "\n",
    "\n",
    "for n, g in ts.groupby('year'):\n",
    "     g.plot('date','weekly_cases', ax=ax, color=colors[n])\n",
    "\n",
    "ax.legend(['2018', '2019', '2020', '2021'], loc='best')\n",
    "\n",
    "ax.set_ylabel('weekly reported dv cases')\n",
    "ax.set_xlabel('date')\n",
    "\n",
    "mcc_cobb['Active COVID Cases'].plot(color='w',linestyle='dashed', legend=True, alpha=0.5)\n",
    "\n",
    "# plt.axvline(first_case, linestyle=':',alpha=0.7)\n",
    "# plt.text(first_case+ datetime.timedelta(days=5),29,'First Reported COVID-19',rotation=0)\n",
    "# plt.text(first_case+ datetime.timedelta(days=5),27,'case in GA',rotation=0)\n",
    "\n",
    "\n",
    "plt.axvline(datetime.datetime(2020, 3,23), linestyle=':',alpha=0.7)\n",
    "plt.text(datetime.datetime(2020, 3,23),29,'Atlanta lockdown',rotation=0)\n",
    "\n",
    "\n",
    "plt.axvline(datetime.datetime(2021, 5,27), linestyle=':',alpha=0.7)\n",
    "plt.text(datetime.datetime(2021, 5, 27),22,'Reopen (Phase 3)',rotation=0)\n",
    "\n",
    "plt.axvline(datetime.datetime(2021, 3,25), linestyle=':',alpha=0.7)\n",
    "plt.text(vaccine_over16+ datetime.timedelta(days=8),29,'COVID-19 vaccine available',rotation=0)\n",
    "plt.text(vaccine_over16+ datetime.timedelta(days=8),27,'to Georgians 16+',rotation=0)\n",
    "ax.set_title(\"Weekly reported dv cases from 2018 to today\")\n",
    "# plt.savefig('dv_cases.png', transparent=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot Weekly reported DV cases from 2018 to today colored by prepandemic and  pandemic status"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x18886fe1520>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x18886fe1520>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x18886feb8b0>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'weekly reported DV cases')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'date')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x18886fe1520>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x18886ff7be0>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(2020-03-23 00:00:00, 29, 'Atlanta lockdown')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x18887040640>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(2021-05-27 00:00:00, 22, 'Reopen (Phase 3)')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x18887058eb0>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(2021-04-02 00:00:00, 29, 'COVID-19 vaccine available')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(2021-04-02 00:00:00, 27, 'to Georgians 16+')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Weekly reported DV cases from 2018 to today')"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Normalize active covid infections for layering on plot \n",
    "mcc_cobb['Active COVID Cases'] = NormalizeData(mcc_cobb['infected'])*25+5\n",
    "\n",
    "\n",
    "plt.rcParams[\"figure.figsize\"] = (16,4)\n",
    "plt.style.use('dark_background')\n",
    "\n",
    "_, ax = plt.subplots()\n",
    "colors = {'prepandemic':'w', 'pandemic':'c'}\n",
    "\n",
    "\n",
    "for n, g in ts.groupby('pandemic_status'):\n",
    "     g.plot('date','weekly_cases', ax=ax, color=colors[n])\n",
    "\n",
    "ax.legend(['pandemic', 'prepandemic'], loc='best')\n",
    "\n",
    "ax.set_ylabel('weekly reported DV cases')\n",
    "ax.set_xlabel('date')\n",
    "\n",
    "mcc_cobb['Active COVID Cases'].plot(color='w',linestyle='dashed', legend=True, alpha=0.5)\n",
    "\n",
    "# plt.axvline(first_case, linestyle=':',alpha=0.7)\n",
    "# plt.text(first_case+ datetime.timedelta(days=5),29,'First Reported COVID-19',rotation=0)\n",
    "# plt.text(first_case+ datetime.timedelta(days=5),27,'case in GA',rotation=0)\n",
    "\n",
    "\n",
    "plt.axvline(datetime.datetime(2020, 3,23), linestyle=':',alpha=0.7)\n",
    "plt.text(datetime.datetime(2020, 3,23),29,'Atlanta lockdown',rotation=0)\n",
    "\n",
    "\n",
    "plt.axvline(datetime.datetime(2021, 5,27), linestyle=':',alpha=0.7)\n",
    "plt.text(datetime.datetime(2021, 5, 27),22,'Reopen (Phase 3)',rotation=0)\n",
    "\n",
    "plt.axvline(datetime.datetime(2021, 3,25), linestyle=':',alpha=0.7)\n",
    "plt.text(vaccine_over16+ datetime.timedelta(days=8),29,'COVID-19 vaccine available',rotation=0)\n",
    "plt.text(vaccine_over16+ datetime.timedelta(days=8),27,'to Georgians 16+',rotation=0)\n",
    "ax.set_title(\"Weekly reported DV cases from 2018 to today\")\n",
    "plt.savefig('images/pre_post_pandemic_weekly_domestic_violence_cases.png', transparent=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create a dataframe of monthly domestic violence cases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "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>Cases</th>\n",
       "      <th>weekly_cases</th>\n",
       "      <th>year</th>\n",
       "      <th>pandemic_status</th>\n",
       "      <th>vaccine</th>\n",
       "      <th>dailycases</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</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>2020-03-04</th>\n",
       "      <td>0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>pandemic</td>\n",
       "      <td>pre-vaccine</td>\n",
       "      <td>1.428571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-05</th>\n",
       "      <td>0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>pandemic</td>\n",
       "      <td>pre-vaccine</td>\n",
       "      <td>1.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-06</th>\n",
       "      <td>0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>pandemic</td>\n",
       "      <td>pre-vaccine</td>\n",
       "      <td>1.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-07</th>\n",
       "      <td>0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>pandemic</td>\n",
       "      <td>pre-vaccine</td>\n",
       "      <td>1.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2020-03-08</th>\n",
       "      <td>0</td>\n",
       "      <td>13.0</td>\n",
       "      <td>2020.0</td>\n",
       "      <td>pandemic</td>\n",
       "      <td>pre-vaccine</td>\n",
       "      <td>1.857143</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Cases  weekly_cases    year pandemic_status      vaccine  \\\n",
       "date                                                                   \n",
       "2020-03-04      0          10.0  2020.0        pandemic  pre-vaccine   \n",
       "2020-03-05      0          13.0  2020.0        pandemic  pre-vaccine   \n",
       "2020-03-06      0          13.0  2020.0        pandemic  pre-vaccine   \n",
       "2020-03-07      0          13.0  2020.0        pandemic  pre-vaccine   \n",
       "2020-03-08      0          13.0  2020.0        pandemic  pre-vaccine   \n",
       "\n",
       "            dailycases  \n",
       "date                    \n",
       "2020-03-04    1.428571  \n",
       "2020-03-05    1.857143  \n",
       "2020-03-06    1.857143  \n",
       "2020-03-07    1.857143  \n",
       "2020-03-08    1.857143  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# create a dataframe df with the correct number of days that exist in the data and with a populated date column\n",
    "delta = max(covid.date) - min(covid.date)\n",
    "rng = pd.date_range('2020-03-04', periods=delta.days+1, freq='D')\n",
    "df = pd.DataFrame({ 'date': rng, 'Cases' :0}) \n",
    "\n",
    "#merge this df with covid data which will produce a sparely populated dataframe with one DV entry per week\n",
    "dfc = pd.merge(df, covid, how=\"left\", on=[\"date\"])\n",
    "# fill in each day with the same weekly dv count\n",
    "dfc = dfc.fillna(method='bfill')\n",
    "#get average daily dv cases by deviding the weekly number by 7\n",
    "dfc['dailycases'] = dfc.weekly_cases/7\n",
    "#format index\n",
    "dfc.set_index('date', inplace=True)\n",
    "\n",
    "dfc.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Get monthly cases by gouping by month and summing the dailycases"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "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></th>\n",
       "      <th>Cases</th>\n",
       "      <th>weekly_cases</th>\n",
       "      <th>year</th>\n",
       "      <th>dailycases</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>date</th>\n",
       "      <th>date</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <th>2021</th>\n",
       "      <td>0</td>\n",
       "      <td>352.0</td>\n",
       "      <td>62651.0</td>\n",
       "      <td>50.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <th>2021</th>\n",
       "      <td>0</td>\n",
       "      <td>314.0</td>\n",
       "      <td>56588.0</td>\n",
       "      <td>44.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">3</th>\n",
       "      <th>2020</th>\n",
       "      <td>0</td>\n",
       "      <td>339.0</td>\n",
       "      <td>56560.0</td>\n",
       "      <td>48.428571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>0</td>\n",
       "      <td>467.0</td>\n",
       "      <td>62651.0</td>\n",
       "      <td>66.714286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">4</th>\n",
       "      <th>2020</th>\n",
       "      <td>0</td>\n",
       "      <td>444.0</td>\n",
       "      <td>60600.0</td>\n",
       "      <td>63.428571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>0</td>\n",
       "      <td>246.0</td>\n",
       "      <td>60630.0</td>\n",
       "      <td>35.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">5</th>\n",
       "      <th>2020</th>\n",
       "      <td>0</td>\n",
       "      <td>413.0</td>\n",
       "      <td>62620.0</td>\n",
       "      <td>59.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>0</td>\n",
       "      <td>347.0</td>\n",
       "      <td>62651.0</td>\n",
       "      <td>49.571429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">6</th>\n",
       "      <th>2020</th>\n",
       "      <td>0</td>\n",
       "      <td>484.0</td>\n",
       "      <td>60600.0</td>\n",
       "      <td>69.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>0</td>\n",
       "      <td>401.0</td>\n",
       "      <td>60630.0</td>\n",
       "      <td>57.285714</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">7</th>\n",
       "      <th>2020</th>\n",
       "      <td>0</td>\n",
       "      <td>405.0</td>\n",
       "      <td>62620.0</td>\n",
       "      <td>57.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>0</td>\n",
       "      <td>445.0</td>\n",
       "      <td>62651.0</td>\n",
       "      <td>63.571429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">8</th>\n",
       "      <th>2020</th>\n",
       "      <td>0</td>\n",
       "      <td>489.0</td>\n",
       "      <td>62620.0</td>\n",
       "      <td>69.857143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>0</td>\n",
       "      <td>477.0</td>\n",
       "      <td>62651.0</td>\n",
       "      <td>68.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">9</th>\n",
       "      <th>2020</th>\n",
       "      <td>0</td>\n",
       "      <td>474.0</td>\n",
       "      <td>60600.0</td>\n",
       "      <td>67.714286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>0</td>\n",
       "      <td>379.0</td>\n",
       "      <td>60630.0</td>\n",
       "      <td>54.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">10</th>\n",
       "      <th>2020</th>\n",
       "      <td>0</td>\n",
       "      <td>557.0</td>\n",
       "      <td>62620.0</td>\n",
       "      <td>79.571429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>0</td>\n",
       "      <td>295.0</td>\n",
       "      <td>62651.0</td>\n",
       "      <td>42.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"2\" valign=\"top\">11</th>\n",
       "      <th>2020</th>\n",
       "      <td>0</td>\n",
       "      <td>431.0</td>\n",
       "      <td>60600.0</td>\n",
       "      <td>61.571429</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2021</th>\n",
       "      <td>0</td>\n",
       "      <td>252.0</td>\n",
       "      <td>48504.0</td>\n",
       "      <td>36.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <th>2020</th>\n",
       "      <td>0</td>\n",
       "      <td>427.0</td>\n",
       "      <td>62628.0</td>\n",
       "      <td>61.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Cases  weekly_cases     year  dailycases\n",
       "date date                                          \n",
       "1    2021      0         352.0  62651.0   50.285714\n",
       "2    2021      0         314.0  56588.0   44.857143\n",
       "3    2020      0         339.0  56560.0   48.428571\n",
       "     2021      0         467.0  62651.0   66.714286\n",
       "4    2020      0         444.0  60600.0   63.428571\n",
       "     2021      0         246.0  60630.0   35.142857\n",
       "5    2020      0         413.0  62620.0   59.000000\n",
       "     2021      0         347.0  62651.0   49.571429\n",
       "6    2020      0         484.0  60600.0   69.142857\n",
       "     2021      0         401.0  60630.0   57.285714\n",
       "7    2020      0         405.0  62620.0   57.857143\n",
       "     2021      0         445.0  62651.0   63.571429\n",
       "8    2020      0         489.0  62620.0   69.857143\n",
       "     2021      0         477.0  62651.0   68.142857\n",
       "9    2020      0         474.0  60600.0   67.714286\n",
       "     2021      0         379.0  60630.0   54.142857\n",
       "10   2020      0         557.0  62620.0   79.571429\n",
       "     2021      0         295.0  62651.0   42.142857\n",
       "11   2020      0         431.0  60600.0   61.571429\n",
       "     2021      0         252.0  48504.0   36.000000\n",
       "12   2020      0         427.0  62628.0   61.000000"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "monthly = dfc.groupby(by=[dfc.index.month, dfc.index.year]).sum()\n",
    "\n",
    "monthly"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### finally create the monthly dataframe and populate the dates and the cases. The cases are manually pulled from the print out above. There is likely a better way to do this, however manual translation worked for this dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "monthly_df = pd.DataFrame()\n",
    "start = datetime.datetime(2020, 3, 1)\n",
    "dates = []\n",
    "for i in range(len(monthly)):\n",
    "    time = start + pd.DateOffset(months=i)\n",
    "    dates.append(time)\n",
    "\n",
    "monthly_df['date'] = dates\n",
    "\n",
    "monthly_df['cases'] = [48,63, 59, 69, 58, 70, 68, 80, 62, 61, 50, 45, 67, 35, 46, 57, 64, 68, 54, 42, 36]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot Monthly reported DV cases during the pandemic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x188870e8c40>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x188870aedf0>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 0, 'date')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x188870e8c40>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x18886e254c0>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(2020-03-23 00:00:00, 75, 'Atlanta lockdown')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x18887996eb0>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(2021-03-27 00:00:00, 80, 'COVID-19 vaccine')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(2021-03-27 00:00:00, 78, 'available to Georgians 16+')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.lines.Line2D at 0x18887989190>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(2021-05-27 00:00:00, 35, 'Reopen (Phase 3)')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Monthly reported DV cases during the pandemic')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'monthly reported dv cases')"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x18887984a60>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x576 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#normalize active covid cases relative to scale of DV cases\n",
    "mcc_cobb['Active COVID Cases'] = NormalizeData(mcc_cobb['infected'])*50+35\n",
    "\n",
    "#Plotting and formatting\n",
    "plt.rcParams[\"figure.figsize\"] = (16,8)\n",
    "plt.style.use('dark_background')\n",
    "\n",
    "_, ax = plt.subplots()\n",
    "\n",
    "monthly_df.plot('date','cases', ax=ax, color='c')\n",
    "\n",
    "ax.legend(['pandemic', 'prepandemic'], loc='best')\n",
    "\n",
    "\n",
    "\n",
    "ax.set_xlabel('date')\n",
    "\n",
    "mcc_cobb['Active COVID Cases'].plot(color='w',linestyle='dashed', legend=True, alpha=0.5)\n",
    "\n",
    "\n",
    "plt.axvline(datetime.datetime(2020, 3,23), linestyle=':',alpha=0.7)\n",
    "plt.text(datetime.datetime(2020, 3,23),75,'Atlanta lockdown',rotation=0)\n",
    "\n",
    "\n",
    "\n",
    "plt.axvline(datetime.datetime(2021, 3,25), linestyle=':',alpha=0.7)\n",
    "plt.text(vaccine_over16+ datetime.timedelta(days=2),80,'COVID-19 vaccine',rotation=0)\n",
    "plt.text(vaccine_over16+ datetime.timedelta(days=2),78,'available to Georgians 16+',rotation=0)\n",
    "\n",
    "\n",
    "plt.axvline(datetime.datetime(2021, 5,27), linestyle=':',alpha=0.7)\n",
    "plt.text(datetime.datetime(2021, 5, 27),35,'Reopen (Phase 3)',rotation=0)\n",
    "\n",
    "\n",
    "\n",
    "ax.set_title(\"Monthly reported DV cases during the pandemic\")\n",
    "ax.set_ylabel('monthly reported dv cases')\n",
    "ax.legend(['Monthly DV Cases', 'COVID-19 Cases'], loc='best')\n",
    "\n",
    "plt.savefig('images/monthly_domestic_violence_cases.png', transparent=True)"
   ]
  }
 ],
 "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": "3.8.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}