US-covid19-nytimes.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# State-level Covid-19 Analysis for United States\n",
    "\n",
    "This notebook utilizes data kindly made available by the Johns Hopkins University System Group at \n",
    "https://github.com/CSSEGISandData/COVID-19/tree/master/csse_covid_19_data/csse_covid_19_time_series.\n",
    "\n",
    "It provides a temporal perspective that complements their excellent geospatial presentation.  \n",
    "\n",
    "The thing about exponentials with a measurable daily growth rate is they change so fast.  With cases increasing 25% per day,a week means a factor of 5 and a month a factor of a thousand.\n",
    "\n",
    "\n",
    "* Repo for this and other notebnooks at: [https://github.com/deculler/covid19](https://github.com/deculler/covid19)\n",
    "* Website for this repo: [https://deculler.github.io/covid19/](https://deculler.github.io/covid19/)\n",
    "\n",
    "## View and run the notebooks\n",
    "\n",
    "* [View the notebook with nbviewer](https://nbviewer.jupyter.org/github/deculler/covid19/blob/master/US-covid19-nytimes.ipynb)\n",
    "* [Launch it on mybinder.org](https://mybinder.org/v2/gh/deculler/covid19/master?filepath=work/US-covid19-nytimes.ipynb)\n",
    "* [@UCB on datahub.berkeley.edu](http://datahub.berkeley.edu/user-redirect/interact?account=deculler&repo=covid19&branch=master&path=US-covid19-nytimes.ipynb)\n",
    "  \n",
    "## Quick links to sections\n",
    "\n",
    "* [Cases by state](#sectionCases)\n",
    "* [Deaths by state](#sectionDeaths)\n",
    "* [Growth trends by state](#sectionGrowth)\n",
    "* [Cases one state](#sectionOneState)\n",
    "* [Projection of cases in one state](#sectionProj)\n",
    "* [Projection of deaths in one state](#sectionProjDeath)\n",
    "\n",
    "The dataset only contains confirmed cases and death, not recoveries.  The data on recoveries tends not to be very good anyways, because case tracking is so poor.  But more importantly, the level of penetration of the virus is still in such an early stage that the eventual balancing out in the SIR models is irrelevant.  With infections growing at 15% per day, if all of today's cases recovered two weeks out, it would only be 1/16th of the new cases.  We are looking at days and weeks, not months and years.\n",
    "\n",
    "For dataframes it uses Datascience Tables (for reference see http://data8.org/datascience/tables.html) developed for introductory courses as UCB."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(4.76837158203125, 1009.7419586828951, 16.099999999999998)"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# A week, A month, two weeks out ...\n",
    "1.25**7, 1.25**31, 1.15*14"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0.15.0'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# HIDDEN\n",
    "# This useful nonsense should just go at the top of your notebook.\n",
    "from datascience import *\n",
    "%matplotlib inline\n",
    "#%matplotlib notebook\n",
    "import matplotlib.pyplot as plots\n",
    "import numpy as np\n",
    "import scipy\n",
    "plots.style.use('fivethirtyeight')\n",
    "plots.rc('lines', linewidth=2, color='r')\n",
    "from ipywidgets import interact\n",
    "import ipywidgets as widgets\n",
    "# datascience version number of last run of this notebook\n",
    "version.__version__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import sys\n",
    "sys.path.append(\".\")\n",
    "from timetable import TimeTable\n",
    "\n",
    "import locale\n",
    "locale.setlocale( locale.LC_ALL, 'en_US.UTF-8' ) \n",
    "\n",
    "import os\n",
    "import datetime\n",
    "\n",
    "# Tools for working with timestamps\n",
    "day_fmt = \"%Y-%m-%d\"\n",
    "\n",
    "def less_day(day1, day2):\n",
    "    \"\"\"Return day1 < day2\"\"\"\n",
    "    return datetime.datetime.strptime(day1, day_fmt) < datetime.datetime.strptime(day2, day_fmt)\n",
    "\n",
    "def format_day(day):\n",
    "    \"\"\"Return day \"\"\"\n",
    "    date =  datetime.datetime.strptime(day, day_fmt)\n",
    "    return datetime.datetime.strftime(date, day_fmt)\n",
    "\n",
    "def inc_day(day, ndays=1):\n",
    "    \"\"\"Return day + ndays\"\"\"\n",
    "    date =  datetime.datetime.strptime(day, day_fmt) + datetime.timedelta(days=ndays)\n",
    "    return datetime.datetime.strftime(date, day_fmt)\n",
    "\n",
    "def ave_growth(trend, window=4):\n",
    "    \"\"\"Average recent growth rate of single trend\"\"\"\n",
    "    vals = [x for x in trend.take[-window:]['rate'] if np.isfinite(x)]\n",
    "    return scipy.stats.gmean(vals)\n",
    "\n",
    "\n",
    "def project_trend(trend, num_days, rate=None, window=4):\n",
    "    if rate :\n",
    "        growth_rate = rate\n",
    "    else :\n",
    "        growth_rate = ave_growth(trend, window)\n",
    "        \n",
    "    day = trend.last('date')\n",
    "    val = trend.last(1)\n",
    "    growth = trend.last('new')\n",
    "    pnew = trend.last('% new')\n",
    "    proj = trend.copy()\n",
    "    for i in range(num_days):\n",
    "        day = inc_day(day)\n",
    "        growth = round(growth * growth_rate)\n",
    "        val = val + growth\n",
    "        pnew = growth/val\n",
    "        proj.append((day, val, growth, pnew, growth_rate))\n",
    "    return proj"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Tools specific to the notebook analysis\n",
    "\n",
    "def prior_to(self, prev, time_end=None):\n",
    "    \"\"\"Return TimeTable of prev rows prior to time_end, defaults to last.\"\"\"\n",
    "    if not time_end :\n",
    "        time_end = self.last(self.time_column)\n",
    "    elif isinstance(time_end, int):\n",
    "        time_end = inc_day(self.last(self.time_column), -time_end)\n",
    "    return self.between(inc_day(time_end, -prev), time_end)\n",
    "\n",
    "def make_pname(root, prev):\n",
    "    return root + \"-\" + str(prev)\n",
    "\n",
    "def proj_timeseries(ts, region, dist=14, end=None):\n",
    "    if not end:\n",
    "        end = ts['date'][-1]\n",
    "    return project_trend(ts.extract(region).trend(), dist).select(['date', region, 'new'])\n",
    "\n",
    "def proj2_timeseries(ts, region, prev=2, dist=14, end=None,):\n",
    "    if not end:\n",
    "        end = ts['date'][-1]\n",
    "    proj  = project_trend(prior_to(ts.extract(region), 7+prev ).trend(), dist).select(['date', region, 'new'])\n",
    "    proj1 = project_trend(prior_to(ts.extract(region), 7, prev).trend(), dist+prev).select(['date', region, 'new'])\n",
    "    proj1.relabel(region, make_pname(region, prev))\n",
    "    proj1.relabel('new',  make_pname('new', prev))\n",
    "    combined = TimeTable.from_table(proj.join('date', proj1), time_col = 'date')\n",
    "    return combined\n",
    "\n",
    "def proj(ts, region, prev=7, dist=14, end=None):\n",
    "    if not end:\n",
    "        end = ts['date'][-1]\n",
    "    proj = proj_timeseries(ts, region, dist, end)\n",
    "    prior_to(proj, dist).show()\n",
    "    prior_to(proj.select(['date', region, 'new']), prev+dist).plot('date', width = 7)\n",
    "    plots.plot([end, end], [0, ts[region][-1]])\n",
    "    _ = plots.xticks(rotation=90)\n",
    "    \n",
    "def proj2(ts, region, prev=2, dist=14, end=None):\n",
    "    if not end:\n",
    "        end = ts['date'][-1]\n",
    "    pend = inc_day(end, -prev)\n",
    "    combined = proj2_timeseries(ts, region, prev, dist, end)\n",
    "    combined.oplot(height=6, width=6)\n",
    "    plots.plot([end, end], [0, combined[region][-1]])\n",
    "    plots.plot([pend, pend], [0, combined[make_pname(region, prev)][-1]])\n",
    "    _ = plots.xticks(rotation=90)\n",
    "    \n",
    "def get_rates(ts):\n",
    "    trends = ts.trend()\n",
    "    rates = trends.extract([x for x in trends.labels if 'rate' in x])\n",
    "    for label in rates.categories :\n",
    "        rates.relabel(label, label[5:])\n",
    "    return rates"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "#URL for https://github.com/nytimes/covid-19-data/blob/master/us-states.csv\n",
    "\n",
    "stateURL = \"https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-states.csv\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "55"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "raw_states = Table.read_table(stateURL)\n",
    "states = list(np.unique(raw_states['state']))\n",
    "len(states)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "cases = TimeTable.from_table(raw_states.pivot('state', 'date', 'cases', sum), time_col = 'date', \n",
    "                             time_less_fun=less_day)\n",
    "deaths = TimeTable.from_table(raw_states.pivot('state', 'date', 'deaths', sum), time_col = 'date',\n",
    "                             time_less_fun=less_day)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2020-04-05'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "last_day = cases['date'][-1]\n",
    "last_day"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## US National picture\n",
    "\n",
    "Until [shjelter at home measures finally began to go in place](https://www.nytimes.com/interactive/2020/us/coronavirus-stay-at-home-order.html) - March 19 for California (March 17 for 6 of its counties) the daily growth rate climbing towards 50% new cases per day.  Since that time it has been dropping towards 17% per day.  While still way to fast for the health care systems to manage, it the difference is immense.  Cases grow by an order of magnitude over two weeks, instead of one,"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Current US Cases 336776\n"
     ]
    },
    {
     "data": {
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0atQIrVZLbGysui8vL489e/bg4+MDgLe3N9nZ2SQmJqoxiYmJ5OTk6MTs2bOHvLw8NSY2Npb69evTqFEjANq1a6dznNKY0j7Kk4sQQogHoygKC7+KJuv6DZ58ohEDn+2g75REBfTt25e33nqL999/X33g5Z133qGkpASAgoICZs6cSYsWLXB0dKRr165s375dbd+tWzfmz5+vfn799dextrZWp1jcuHEDOzs79u7d+0D5lXlb59///jc9e/akQYMG6pMv8fHxrFmzBo1GQ3BwMB9//DGurq40a9aMjz76CAsLCwICAgBwc3Oje/fuTJw4kQULFqAoChMnTuTZZ59V7ykGBAQQFhbGmDFjCAkJ4bfffmP+/PlMmTJFvSUzevRo+vTpw7x58+jXrx8bN24kLi6OLVu2AJQrFyGEEA9m/U97OPLrGSxrmzPulQEYGMganvdS6/yUR3q8Gw0/vO82kZGRjBo1ih9//JEjR44wYsQIPD09CQgIYOzYsfz+++8sW7aMBg0a8OOPPzJs2DBiYmJo2bIlHTt2JC4ujjfffBOA3bt3Y2trS3x8PIMHDyYhIQFjY2O8vLwe6HzKLE5SU1MZOXIkaWlpWFpa4uHhwdq1a+nWrRsAEyZMIDc3l8mTJ5OZmYmXlxdRUVHUqfP3myiXLVvG1KlTGTRoEAC9e/fmww//vpBWVlZ89913hISE0LVrV6ytrRk7dizjxo1TY3x8fIiIiGDWrFnMnj2bxo0bExERQdu2bdWY8uQihBDi/iSfvsDqjTsBGPvyAGys5HdqTeDm5sb06dMBaNasGf/973/ZuXMnXl5e6ppkDRs2BGDkyJHs2LGDL7/8ko8//piOHTuyfPlyioqKOHv2LNeuXWPUqFHExcUxePBg4uPj8fb2xtjY+IFyK7M4KV1H5G40Gg2hoaGEhobeNcbGxoalS5fesx8PDw82b958zxh/f3/8/f0rlIsQQojyy76Ry6dffk9JiUK/bj54tmiq75SqhQcZyXjUPDw8dD47ODhw5coVfvnlFxRF4emnn9bZn5+fT6dOnQBo3749+fn5HDx4kBMnTtC+fXs6d+7MpEmTAIiPj6dHjx4PnJu8+E8IIcQdKYrC59/8QPqf12jaqD7P9++i75REJfrnqIZGo0FRFEpKStBoNMTExNwWY2ZmBkDt2rVp1aoVcXFx/Prrr/j6+uLt7c358+c5deoUBw8e5L333nvg3KQ4EUIIcUc/xR8k8ZeT1DI3YULQcxgZGeo7JfEIPPXUUyiKQmpqqjpSciel805OnjxJcHAwZmZmeHl58dFHH1VovgnIW4mFEELcwZkLl/kqahsArw/rg7aejZ4zEo9Ks2bNGDp0KGPGjGH9+vWcOXOGQ4cO8dlnnxEdHa3GlRYn2dnZtGrVSt22Zs2aCs03ASlOhBBC/EN+QSELvviewsJiuj3jSQevFvpOSTxiixYt4sUXX2TGjBm0a9eOwMBAdu/ejbPz32vbtG/fHo1GQ/v27TE0vDmq5uvrS3FxMR07dqzQ8eW2jhBCCB3rftzLH6l/0rB+PV4Z/OCTGkXV9cMPP9y27dYHYIyNjct8wKR27drqgqmlfH19yczMrHB+MnIihBBCtSvxCPsOn8LE2IgJrw7E1OTBh+aFeFBSnAghhADgj9QMVqy+ubDl8IAeNKwvr/4Q+iHFiRBCCG7k5vPR0rXk5RfSuoULfh089Z2SeIxJcSKEEI85RVFYvHIDF1MzaFi/HoF9npG3uQu9kuJECCEec1FbdrPv8Eksapny1usBMs9E6J0UJ0II8Rg7eDSFyE270GjgjVf8qW9fV98pVTuKoug7hWqnrGsmxYkQQjym/kjN4LP/rkdRILBfZ1p7NNN3StWOhYUFmZmZUqDcpxs3bqhL4d+JrHMihBCPody8fD5etpYbuQX4eLrxXM8O+k6pWjIyMqJOnTpcu3ZN36lUK0ZGRpiamt59/yPMRQghRBVQOgH2wuUMnBxsCX6pn0yArQAjIyOsrKz0nUaNIrd1hBDiMfP9jz+T+MvNCbAhI4dgbnb3v2CF0AcpToQQ4jFy8GgKqzfuRKOBcS8PkAmwokqS4kQIIR4Tl9L+ZOFX0SgKDO3biTZPuuo7JSHuSIoTIYR4DOTm5fPR0khybuTj3eoJBj77jL5TEuKupDgRQogaTlEUwr/eqE6AHfOv/jIBVlRpUpwIIUQN9/2PP5OQlEwtcxPeej1AJsCKKq/M4mTevHl07dqVhg0b0rRpUwIDAzl+/LhOTHBwMNbW1jpf3bt314nJz89n8uTJNGnSBEdHR4YNG8bFixd1Ys6fP09gYCCOjo40adKEKVOmUFBQoBMTHx9P586d0Wq1tGrVioiIiNtyXr58OU899RRarZbOnTvz888/l/uCCCFETZJ0/JQ6AfaNV/xx1NrqOyUhylRmcRIfH89rr73G1q1biY6OxsjIiOeee46rV6/qxHXp0oXk5GT1KzIyUmd/aGgoGzZsYMWKFWzatInr168TGBhIcXExAMXFxQQGBpKdnc2mTZtYsWIF0dHRTJ8+Xe3jzJkzDB06FG9vb3bt2sWkSZOYMmUK69evV2OioqKYNm0ab731Frt27cLb25shQ4Zw/vz5Cl0oIYSobi5f+ZNPv/weRYEhfWQCrKg+ylyELSoqSufz559/jrOzM3v37qV3797qdlNTU7Ra7R37yMrKYuXKlSxatIiuXbuq/bRs2ZIdO3bQrVs3YmJiOHHiBEeOHMHJyQmA9957j/Hjx/Puu+9iaWnJF198gYODA3PnzgXAzc2N/fv3s3DhQvz9/QFYtGgRL7zwAq+88goAc+fOZfv27URERDBz5sz7vT5CCFEt5eUX8NHSteTcyKfdU08wqJdMgBXVx33POcnOzqakpARra2ud7Xv27KFZs2Z4eXkxfvx4rly5ou5LSkqisLAQPz8/dZuTkxNubm4kJCQAkJiYiJubm1qYAHTr1o38/HySkpLUmFv7KI05dOgQhYWFFBQUkJSUdFuMn5+fehwhhKjpSifAnr+UTgOtTIAV1c99L18/bdo0WrZsibe3t7qte/fu9O/fn0aNGnHu3DlmzZrFgAED2LFjB6ampqSlpWFoaIitre69Tjs7O9LS0gBIS0vDzs5OZ7+trS2GhoY6MV26dLmtj6KiIjIyMlAUheLi4tv6ufU4d5KSknK/l6HS+6ju7atCDvpuXxVykHOQawDw+cootscfxMzUmME9vLh44dwjz0Gf7V1d5fZVdXdfxcnbb7/N3r172bJlC4aGhur2wYMHq997eHjg6elJy5Yt2bp1KwMGDLhrf4qi6FTzd6vs7xVT+iZIjUaj8/29jvNPFf1BTklJqVAf1b19VchB3+2rQg5yDnINAKK3xLJjXzIWFhZMGTUEr5b335e+z6Ey/j2K6q3ct3VCQ0NZt24d0dHRuLi43DO2fv36ODo6cvr0aQDs7e0pLi4mIyNDJy49PV0d5bC3t79tdCMjI0NnJOROMenp6RgZGVG3bt3bRlrudBwhhKipLl/5k5Xrd6orwD5IYSJEVVCu4mTq1KmsXbuW6OhonnjiiTLjMzIyuHTpkjpB1tPTE2NjY2JjY9WYixcvkpycjI+PDwDe3t4kJyfrPF4cGxuLqakpnp6easyOHTt0jhUbG0vr1q0xNjbGxMQET09PneOUxpQeRwghaqLrObmELVlDbl4hbZ9ylQmwolorszgJCQlh1apVLF++HGtra1JTU0lNTSU7Oxu4OUH2nXfeITExkbNnzxIXF8ewYcOws7OjX79+AFhZWfGvf/2LGTNmsGPHDn755RdGjRqFh4eHOofEz88Pd3d3Ro8ezS+//MKOHTuYMWMGL7/8MpaWlgAEBQXxxx9/MG3aNJKTk/nqq69YtWoV48aNU/MdO3Ysq1at4quvviI5OZmpU6dy+fJlgoKCKvvaCSFElVBQWMhHSyP5I/VPHO1tGPuvATIBVlRrZc45Wb58OYD6qG6pqVOnEhoaiqGhIcePH+fbb78lKysLrVaLr68vX3zxBXXq1FHjP/jgAwwNDQkKCiIvL49OnTqxZMkSde6KoaEhq1evJiQkhF69emFmZkZAQACzZs1S+3BxcWHNmjW8/fbbRERE4ODgQFhYmE5ugwYN4s8//2Tu3Lmkpqbi7u7OmjVrcHZ2rtiVEkKIKkhRFMJXbuTXUxeoa12HVwf6UstcVoAV1VuZxUlmZuY995ubm9+2FsqdmJmZMXfuXHWNkjtp2LAhq1evvmc/HTt2ZNeuXfeMGTFiBCNGjCgzJyGEqO5WRcfy88ETmJuZMC04kIIbWfpOSYgKk3frCCFENfVj3AGif9qLoaEBk0YMplEDe32nJESlkOJECCGqoYNHU4hYsxWAkc/35qnmjfWckRCVR4oTIYSoZk6d/YP5Ed+hKDC49zN0ebqVvlMSolJJcSKEENXIlYxMwj6PJL+giE4+LRnSp5O+UxKi0klxIoQQ1UT2jVzmhK8m61oOTz7RiFHP95FHhkWNJMWJEEJUA4WFRXy8bB0XLmfg7GjHpBGDMTIyLLuhENWQFCdCCFHFKYrCkm82cjzlHDZWtZkWHIhFLTN9pyXEQyPFiRBCVHGrN+4kfv9xzEyNmRY8FFsbS32nJMRDJcWJEEJUYdviD/Ld1p8xMNAw8bVBuDg56DslIR46KU6EEKKKSjp+ihV/rWXy+rDeeLZoqueMhHg0pDgRQogq6Pfzl/lkRRQlJQoDn+2AXwdPfackxCMjxYkQQlQxVzIymRO+mrz8Qny9nySwX2d9pyTEI1Xmi/+EEEI8Orl5BSwJX03mtRw8XJ0Z/UJfWctEPHakOBFCiCqiqKiYL9bF8Ef6dZwcbJn0uqxlIh5PcltHCCGqAEVRCP9mIylnL2NtacG04EBq1zLXd1pC6IUUJ0IIoWeKorD0f5uI33cMUxMjpo4eip2ttb7TEkJv5LaOEELokaIofLn2R2J+/gUTYyOGP9eRJs719Z2WEHolxYkQQuiJoih8/X0MW3YewMjIgJCRAdQyKtZ3WkLondzWEUIIPYnctIuN2xMwNDRg0muDaeXeRN8pCVElSHEihBB68N3W3azbvBuNBsYP98erpau+UxKiypDiRAghHrGNMQl8u2EnGg2MfXkAT7d213dKQlQpZRYn8+bNo2vXrjRs2JCmTZsSGBjI8ePHdWIURWH27Nk0b94cBwcH+vbty4kTJ3RiMjMzGTlyJM7Ozjg7OzNy5EgyMzN1Yo4dO0afPn1wcHDA3d2dsLAwFEXRiVm/fj0+Pj7Y29vj4+PDhg0b7jsXIYTQlx/jDrAyajsAo17og2+7J/WckRBVT5nFSXx8PK+99hpbt24lOjoaIyMjnnvuOa5evarGLFiwgEWLFhEWFkZMTAx2dnYMHDiQ69evqzEjRozg8OHDREZGsnbtWg4fPsyoUaPU/deuXWPgwIHY29sTExPDnDlz+Oyzz1i4cKEak5iYyKuvvsqQIUOIi4tjyJAhDB8+nP37999XLkIIoQ+xe5JYsfrmi/xeC3yWru3lfTlC3EmZT+tERUXpfP78889xdnZm79699O7d++bCQeHhvPnmm/j7+wMQHh6Oq6sra9euJSgoiOTkZLZt28aWLVvw8fEB4JNPPqF3796kpKTg6upKZGQkubm5hIeHY25uTosWLTh58iSLFy9m3LhxaDQawsPD8fX1JSQkBAA3Nzfi4uIIDw9nxYoV5cpFCCH0IW7fUT5ftQmAlwd3p6evl54zEqLq0mRmZiplh/3t8uXLNG/enM2bN9O+fXvOnDmDp6cnMTExtGnTRo0bOnQodevWZcmSJaxcuZLQ0FDOnz+vviNCURScnJwICwvjpZdeYtSoUVy9epU1a9aofRw8eBA/Pz+SkpJwcXHhySefZOTIkYwfP16N+fTTT1m6dClHjx4tVy53kpKScj+XQAgh7ssvv57hq+93UlKi0Kdza3o800rfKdVorq4yubi6u+91TqZNm0bLli3x9vYGIDU1FQA7OzudODs7Oy5dugRAWloatra2Oi+v0mg01KtXj7S0NDXG0dHxtj5K97m4uJCamnrH45T2UZ5c7qSiP8iloz+Pa/uqkIO+21eFHOQcquY1OHAkhahtB0TAqVQAACAASURBVDA3r8Xg3s8wtO+93zBcE6/Bo24vqr/7Kk7efvtt9u7dy5YtWzA01H0Z1T/fmqkoym3FyD+VFVM6GbasmH9uK0+MEEI8bEnHTzFvxTqKi0vo182HIX066TslIaqFcj9KHBoayrp164iOjsbFxUXdrtVqAdTRi1Lp6enqCIa9vT3p6ek6T94oikJGRoZOzJ36gL9HQrRa7T2PU55chBDiUTh28iwfL1tHUVEJvTp78dJzfvJHkhDlVK7iZOrUqaxdu5bo6GieeOIJnX2NGjVCq9USGxurbsvLy2PPnj3q5Fdvb2+ys7NJTExUYxITE8nJydGJ2bNnD3l5eWpMbGws9evXp1GjRgC0a9dO5zilMaV9lCcXIYR42JJPX+DDz9dQUFhEt2c8GR7QUwoTIe5DmcVJSEgIq1atYvny5VhbW5OamkpqairZ2dnAzVsowcHBzJ8/n+joaI4fP86YMWOwsLAgICAAuPlUTffu3Zk4cSL79u0jMTGRiRMn8uyzz6r3FQMCAjA3N2fMmDEcP36c6Oho5s+fz5gxY9T/qEePHs2uXbuYN28eJ0+eZN68ecTFxREcHFzuXIQQ4mE690c6c8K/JS+/EF/vJ3l9WG8pTIS4T2XOOVm+fDmA+mhuqalTpxIaGgrAhAkTyM3NZfLkyWRmZuLl5UVUVBR16tRR45ctW8bUqVMZNGgQAL179+bDDz9U91tZWfHdd98REhJC165dsba2ZuzYsYwbN06N8fHxISIiglmzZjF79mwaN25MREQEbdu2VWPKk4sQQjwMZy5c5vNvf0RjaEz7Ns0JfrGvFCZCPIAyi5N/ruJ6JxqNhtDQULVYuRMbGxuWLl16z348PDzYvHnzPWP8/f1vK5TuNxchhKhsZy5c5v8W/o8beQV0bt+CcS/73/bggBCifO77UWIhhBC6kk9fIGzJanJu5OPetAFvBg3EyEgKEyEelBQnQghRAYd//Z2PlkaSX1CEj6cbvZ/xwNhYfrUKURHyVmIhhHhA+w+fJGzJavILiujs05IJQc/JiIkQlUDKeyGEeABx+46yeOUGSkoUenX2kseFhahEUpwIIcR92hZ/kOWrt6AoMPDZDgT26yyFiRCVSIoTIYS4D9Hb9vLN9zEAvDCgC/49O+g5IyFqHilOhBCiHBRFYc0Pu4jashuA1wKfpaevl56zEqJmkuJECCHKoCgK/133E5t37MfAQEPwS/3o5N1S32kJUWNJcSKEEPdQUlLC0v9tJnbPLxgZGTAhaCDerdz0nZYQNZoUJ0IIcRdFRcUs/Go9ew7+iomxESEjA2jl3kTfaQlR40lxIoQQd1BQWMjHy9aRdPw0tcxNmDo6kOZNG+o7LSEeC1KcCCHEP9zIzWfu0kiOp5yjjoU508c9T+OGDvpOS4jHhhQnQghxi5zcfGYtXMWps5ewsarNO2+8gJNDPX2nJcRjRYoTIYT4y9Ws6yz6ejPXbhRib2vFO2+8gLaejb7TEuKxI8WJEEIAqelX+WDRt1y6kolbU2emj3uButZ19J2WEI8lKU6EEI+94ylnmbc8ius5uTTQ1mXGhJewqmOh77SEeGxJcSKEeKzF7kli+eotFBWV4NmiCX19W0phIoSeSXEihHgslZSU8PX3MfwQkwhA367teGlgN06dOqXnzIQQUpwIIR47N3Lz+fTL7zl07BSGhga8PqwXXdt76jstIcRfpDgRQjxWUtOvMvfzSM5fSqeOhTmTRgyihWsjfaclhLiFQXmCdu/ezbBhw3B3d8fa2ppvvvlGZ39wcDDW1tY6X927d9eJyc/PZ/LkyTRp0gRHR0eGDRvGxYsXdWLOnz9PYGAgjo6ONGnShClTplBQUKATEx8fT+fOndFqtbRq1YqIiIjb8l2+fDlPPfUUWq2Wzp078/PPP5frYggharbjKWeZPvdLzl9Kx8nBlv+bPFwKEyGqoHIVJzk5ObRo0YI5c+Zgbm5+x5guXbqQnJysfkVGRursDw0NZcOGDaxYsYJNmzZx/fp1AgMDKS4uBqC4uJjAwECys7PZtGkTK1asIDo6munTp6t9nDlzhqFDh+Lt7c2uXbuYNGkSU6ZMYf369WpMVFQU06ZN46233mLXrl14e3szZMgQzp8/f98XRwhRc8TuSeL/Fv2P6zm5eLZowvuTXpE1TISoosp1W6dnz5707NkTgDFjxtwxxtTUFK1We8d9WVlZrFy5kkWLFtG1a1cAPv/8c1q2bMmOHTvo1q0bMTExnDhxgiNHjuDk5ATAe++9x/jx43n33XextLTkiy++wMHBgblz5wLg5ubG/v37WbhwIf7+/gAsWrSIF154gVdeeQWAuXPnsn37diIiIpg5c2Z5r4sQooa428RXA4Ny/W0mhNCDSvuvc8+ePTRr1gwvLy/Gjx/PlStX1H1JSUkUFhbi5+enbnNycsLNzY2EhAQAEhMTcXNzUwsTgG7dupGfn09SUpIac2sfpTGHDh2isLCQgoICkpKSbovx8/NTjyOEeHzcyM3nw88j+SEmEUNDA0a90IeXB/eQwkSIKq5SJsR2796d/v3706hRI86dO8esWbMYMGAAO3bswNTUlLS0NAwNDbG1tdVpZ2dnR1paGgBpaWnY2dnp7Le1tcXQ0FAnpkuXLrf1UVRUREZGBoqiUFxcfFs/tx7nTlJSUh701Cutj+revirkoO/2VSEHOYe/26dfvc6Ktdu5fCUTC3NT/vVcFxraWZSr/6pyDvpqXxVyqEh7V1fXCh1b6F+lFCeDBw9Wv/fw8MDT05OWLVuydetWBgwYcNd2iqKg0WjUz7d+f6t7xSiKom6/9ft7HeefKvqDnJKSUqE+qnv7qpCDvttXhRzkHP5uf+K3c0REbeT6jULcmjozedQQHOzqPtIcqmv7qpBDZZyDqN4eythm/fr1cXR05PTp0wDY29tTXFxMRkaGTlx6ero6ymFvb3/b6EZGRobOSMidYtLT0zEyMqJu3bq3jbTc6ThCiJotdk8Ssxau4lr23xNfy1uYCCGqhodSnGRkZHDp0iV1gqynpyfGxsbExsaqMRcvXiQ5ORkfHx8AvL29SU5O1nm8ODY2FlNTUzw9PdWYHTt26BwrNjaW1q1bY2xsjImJCZ6enjrHKY0pPY4QomYqKSkhevs+lnyziaKiEvp2bceUUUOwqGWm79SEEPepXLd1srOz1VGQkpISLly4wOHDh7GxscHGxoY5c+YwYMAAtFot586d4/3338fOzo5+/foBYGVlxb/+9S9mzJiBnZ0dNjY2TJ8+HQ8PD3UOiZ+fH+7u7owePZpZs2Zx9epVZsyYwcsvv4ylpSUAQUFBLFu2jGnTphEUFERCQgKrVq1i+fLlaq5jx45l1KhReHl54ePjQ0REBJcvXyYoKKgyr5sQogq5mnWdRSs3sPfAMSwt6zAisBd+HWTFVyGqq3IVJ4cOHaJ///7q59mzZzN79myef/555s2bx/Hjx/n222/JyspCq9Xi6+vLF198QZ06f79u/IMPPsDQ0JCgoCDy8vLo1KkTS5YswdDQEABDQ0NWr15NSEgIvXr1wszMjICAAGbNmqX24eLiwpo1a3j77beJiIjAwcGBsLAw9TFigEGDBvHnn38yd+5cUlNTcXd3Z82aNTg7O1f4Ygkhqp4DR1JY8s1GrmXnYlHLlOljn8fjCVlYTYjqrFzFia+vL5mZmXfdHxUVVWYfZmZmzJ07V12j5E4aNmzI6tWr79lPx44d2bVr1z1jRowYwYgRI8rMSQhRfRUUFvLN9zFs2XkAgJbNXejVwUMKEyFqAHm3jhCi2jn3Rxqffbmec39cwcjIgGH9u9DPz4fffvtN36kJISqBFCdCiGpDURR+ij/IyqjtFBQWUd/ehvHDn6OJc319pyaEqERSnAghqoVr2TdY8s1GDhy5OTrStX0rhgf0wMzURM+ZCSEqmxQnQogq70jy7yz6agNXs7KxqGXK68P60L6Nu77TEkI8JFKcCCGqrKKiYlb/sJMN2/aiKNC8qRPjXh6Ana21vlMTQjxEUpwIIaqkS2l/8tl/13Pq7CU0GhjatxPP9WyvLj8ghKi5pDgRQlQpiqKwK+EIEZFbycsvxM7Wijde8cetiVPZjYUQNYIUJ0KIKiM3r4DPvlzP7gPHAXjGqwWvBfaSJeiFeMxIcSKEqBKST1/goxXryS8CM1NjXh3yLJ18Wt7zjeJCiJpJihMhhF6Vrl3y5dqfuHYth6daNOONV/ypby9vEhbicSXFiRBCb4qKiomI3Mr23UkAdPZuwcTXh2FkJJNehXicSXEihNCLzGvZzFseRfLpC5gYG/H6872pb2MmhYkQQooTIcSjd+rsH3y0bB1/Zl7H1qYOIa8H0MS5PikpKfpOTQhRBUhxIoR4pHYmHGHZt5soLCymeVMnJr42GGtLC32nJYSoQqQ4EUI8EsXFxXzzfQw/xO4DoEfH1gwP6Cm3cYQQt5HiRAjx0F3PyWVBxHccST6DkZEBQQE96d6xjb7TEkJUUVKcCCEeqrMX0/hoaSRpGVlY1anFpBGDad60ob7TEkJUYVKcCCEemoSkX1m8cgN5+YU0cXYg5PUAbG0s9Z2WEKKKk+JECFHpFEVhzQ+7iNqyGwBf7ycZ+XxvTIyN9ZyZEKI6kOJECFGpbuTms/Cr9Rw48hsaDbw0sBt9u3rLMvRCiHKT4kQIUWnSMrII//ZLLqZmULuWGRNeHchTzRvrOy0hRDVjUJ6g3bt3M2zYMNzd3bG2tuabb77R2a8oCrNnz6Z58+Y4ODjQt29fTpw4oROTmZnJyJEjcXZ2xtnZmZEjR5KZmakTc+zYMfr06YODgwPu7u6EhYWhKIpOzPr16/Hx8cHe3h4fHx82bNhw37kIISpf0vFTzP/vRi6mZuDsaMf/TR4uhYkQ4oGUqzjJycmhRYsWzJkzB3Nz89v2L1iwgEWLFhEWFkZMTAx2dnYMHDiQ69evqzEjRozg8OHDREZGsnbtWg4fPsyoUaPU/deuXWPgwIHY29sTExPDnDlz+Oyzz1i4cKEak5iYyKuvvsqQIUOIi4tjyJAhDB8+nP37999XLkKIypNfUMh/1/7EnPDV5OYV4uPpxn/eegUHO3lxnxDiwZTrtk7Pnj3p2bMnAGPGjNHZpygK4eHhvPnmm/j7+wMQHh6Oq6sra9euJSgoiOTkZLZt28aWLVvw8fEB4JNPPqF3796kpKTg6upKZGQkubm5hIeHY25uTosWLTh58iSLFy9m3LhxaDQawsPD8fX1JSQkBAA3Nzfi4uIIDw9nxYoV5cpFCFF5Tvx2jiXf/MDlK1cxMNDQp3Nrgl8ZJPNLhBAVUq6Rk3s5e/Ysqamp+Pn5qdvMzc3p0KEDCQkJwM0Rj9q1a6uFCcDTTz+NhYWFTkz79u11Rma6devGpUuXOHv2LAD79u3TOU5pTGkf5clFCFFx+QWFfLXuJ95b8DWXr1zFuYEdH0wOosczraQwEUJUWIUnxKampgJgZ2ens93Ozo5Lly4BkJaWhq2trc4vLY1GQ7169UhLS1NjHB0db+ujdJ+Liwupqal3PE5pH+XJ5U4q42VjFe2jurevCjnou31VyOFRnMPvF1L538Z4rvx5HQMDDd3at6Rnx1YU5V2vlBz03b4q5KDv9lUhh4q0d3V1rdCxhf5V2tM6//xrSVGU24qRfyorpnQybFkx/9xWnphbVfQHufTW1OPavirkoO/2VSGHh30O+QWFrN6wg0079qEo0LxZI4Jf6kfTRo7lal/R4z+K9lUhB323rwo5VMY5iOqtwsWJVqsFbo5uODk5qdvT09PVEQx7e3vS09N1igRFUcjIyNCJKR0BubUP+HskRKvV3jHm1v1l5SKEuH/Jpy8Q/vUGLqXdnFvyXM/2DO7VEWNjWY1ACFH5KjznpFGjRmi1WmJjY9VteXl57NmzR51j4u3tTXZ2NomJiWpMYmIiOTk5OjF79uwhLy9PjYmNjaV+/fo0atQIgHbt2ukcpzSmtI/y5CKEKL+CwkK+itrGzE++4lLaVZwcbJn11isM699FChMhxENTrt8u2dnZnD59GoCSkhIuXLjA4cOHsbGxoWHDhgQHB/Pxxx/j6upKs2bN+Oijj7CwsCAgIAC4+VRN9+7dmThxIgsWLEBRFCZOnMizzz6rDt0FBAQQFhbGmDFjCAkJ4bfffmP+/PlMmTJFHW0ZPXo0ffr0Yd68efTr14+NGzcSFxfHli1bgJu3c8rKRQhRPid/v0D41xv5I/VPNBp4rmd7Anr7SlEihHjoyvVb5tChQ/Tv31/9PHv2bGbPns3zzz9PeHg4EyZMIDc3l8mTJ5OZmYmXlxdRUVHUqVNHbbNs2TKmTp3KoEGDAOjduzcffvihut/KyorvvvuOkJAQunbtirW1NWPHjmXcuHFqjI+PDxEREcyaNYvZs2fTuHFjIiIiaNu2rRpTnlyEEHdXUFjI6o27+CEmAUUBJwdbgl/qTzMXx7IbCyFEJShXceLr63vbaq630mg0hIaGEhoaetcYGxsbli5des/jeHh4sHnz5nvG+Pv7q2uYPGguQog7O3PxCou/3a6Olvj3aE9An47ywj4hxCMl47NCCAoKC1nzwy5WR8dQq5YFDbS2BL/UD9fGDfSdmhDiMSTFiRCPueTTF1jyzc25JQADejzNkD6+MloihNAbKU6EeEz9c92SBlpbevt2oUeXDvpOTQjxmJPiRIjH0PGUs3y+apP6TpwB3Z8moE9Hzp45o+/UhBBCihMhHid5+QWsWh/L1l0HAHBuYMfoF/rqrPIqhBD6JsWJEI+Jw7/+ztL/beJKRhaGhgY817M9g57tiJGRob5TE0IIHVKcCFHD5dzI45v1MWzfnQSAi5OW4Jf64eKk1XNmQghxZ1KcCFGDJR0/xdL/bSLj6nWMjAwI6O1L/25Py2iJEKJKk+JEiBoo+0YuX63bxs6EIwA0c6nP6Bf70bC+vABTCFH1SXEiRA2z//BJln27mcxrORgbGzK0b2f6dm2HoaGMlgghqgcpToSoIbJv5PHpF9+z+8BxANyaODH6xb44am31nJkQQtwfKU6EqOYURWH3geMs/PJ7FAwxMTbi+QFd6NW5LQYGBvpOTwgh7psUJ0JUYyd/v8BX67aRcuYPcnLyaOfpzqgX+uBgV1ffqQkhxAOT4kSIauhKRib/i96h3sKxsrSgf5dWvDi4DxqNRs/ZCSFExUhxIkQ1kpuXz/qf9vBDTCIFhUUYGxvSz88H/x7tuXD+nBQmQogaQYoTIaqBkpISdiYc5tsNO8m8lgPAM14teH5AF+xsrfWcnRBCVC4pToSo4o6ePMPKqO2cuZAKgKuLIy8P7s4TjZ30nJkQQjwcUpwIUUVdSvuTr7/fzv7DKQDY2tThBX8/nvFqIbdvhBA1mhQnQlQx2Tdyidocz9a4AxQVlWBmaox/j/b09fPB1MRY3+kJIcRDJ8WJEFVEUXExW3buZ+2mOK7n5KLRQNf2rQjs1wkbqzr6Tk8IIR4ZKU6E0LOSkhIOHElhycposvOKAPBwdeblwd1xcXLQc3ZCCPHoVcrykbNnz8ba2lrn64knnlD3K4rC7Nmzad68OQ4ODvTt25cTJ07o9JGZmcnIkSNxdnbG2dmZkSNHkpmZqRNz7Ngx+vTpg4ODA+7u7oSFhaEoik7M+vXr8fHxwd7eHh8fHzZs2FAZpyhEpbuadZ2oLfG88e/FfLRsHakZWTjY2RDy+mDeHf+iFCZCiMdWpY2cuLq6snHjRvXzrS8ZW7BgAYsWLWLRokW4urry4YcfMnDgQPbt20edOjeHq0eMGMGFCxeIjIxEo9Ewfvx4Ro0axerVqwG4du0aAwcOpEOHDsTExJCSksLYsWOpVasWb7zxBgCJiYm8+uqrhIaG0r9/fzZs2MDw4cPZunUrbdu2raxTFeKBKYrCkeQzbIs/yP4jKRQXlwBgb2tFq/YteGVoP4yNZUBTCPF4q7TfgkZGRmi12tu2K4pCeHg4b775Jv7+/gCEh4fj6urK2rVrCQoKIjk5mW3btrFlyxZ8fHwA+OSTT+jduzcpKSm4uroSGRlJbm4u4eHhmJub06JFC06ePMnixYsZN24cGo2G8PBwfH19CQkJAcDNzY24uDjCw8NZsWJFZZ2qEPct63oOOxOOsH33IS5fuQqAgYEG71ZP0L1jG55q3pjffvtNChMhhAA0mZmZStlh9zZ79mw+/fRTrK2tMTY2pm3btsyYMQMXFxfOnDmDp6cnMTExtGnTRm0zdOhQ6taty5IlS1i5ciWhoaGcP39efURSURScnJwICwvjpZdeYtSoUVy9epU1a9aofRw8eBA/Pz+SkpJwcXHhySefZOTIkYwfP16N+fTTT1m6dClHjx69a/4pKSkVvQRC3EZRFE6dT2XPwWQOJ5+l6K9REmvLWrT3fAKfVk9gVaeWnrMUouZxdXXVdwqigirlz7S2bduyePFiXF1dSU9PZ+7cufTs2ZO9e/eSmnpz4Sg7OzudNnZ2dly6dAmAtLQ0bG1tddZu0Gg01KtXj7S0NDXG0dHxtj5K97m4uJCamnrH45T2cTcV/UEuHd15XNtXhRz03f7WPrJv5LIr4Qjb4g9xMTUDADNzc1p7NKNHx9Z4tmh6x7cFV6VzeFzbV4Uc9N2+KuRQGecgqrdKKU569Oih87lt27Z4enqyatUq2rVrB3DbolGKotxWjPxTWTGlk2HLipEFq8TDpigKZy5e4ae9v7Ln4AkKCm8+dWNtaYFfB0/82reSZeaFEKKcHsoN7tq1a9O8eXNOnz5Nv379gJujG05Ofy+3nZ6ero5y2Nvbk56erlNIKIpCRkaGTsw/R0DS09OBv0dQtFrtHWP+OZoiRGW5kZtP/P6jbNt9iOPJv2NhYQFAy+Yu9OjYBq8nXTEyMiyjFyGEELeqlEeJ/ykvL4+UlBS0Wi2NGjVCq9USGxurs3/Pnj3q5Fdvb2+ys7NJTExUYxITE8nJydGJ2bNnD3l5eWpMbGws9evXp1GjRgC0a9dO5zilMaV9CFFZfj9/maX/20TwO5+yYvVWzl5Iw6KWKQN6PM2CmaN5Z9wL+Hg2l8JECCEeQKWMnLzzzjv06tULJycndc7JjRs3eP7559FoNAQHB/Pxxx/j6upKs2bN+Oijj7CwsCAgIAC4+VRN9+7dmThxIgsWLEBRFCZOnMizzz6r3ncMCAggLCyMMWPGEBISwm+//cb8+fOZMmWKOtoyevRo+vTpw7x58+jXrx8bN24kLi6OLVu2VMZpisdcXn4Bew4e56f4Q5w6e0nd3sLVme7PtKauhSHu7s31mKEQQtQMlVKc/PHHH4wYMYKMjAzq1atH27Zt+emnn3B2dgZgwoQJ5ObmMnnyZDIzM/Hy8iIqKkpd4wRg2bJlTJ06lUGDBgHQu3dvPvzwQ3W/lZUV3333HSEhIXTt2hVra2vGjh3LuHHj1BgfHx8iIiKYNWsWs2fPpnHjxkRERMgaJ6JCzl5MY/vuQ8TtO8KN3AIALGqZ0sXnKfyeaY2TQz1AnvoSQojKUinFSURExD33azQaQkNDCQ0NvWuMjY0NS5cuvWc/Hh4ebN68+Z4x/v7+6noqQjyogsJC9h76lW3xh0g+fUHd/kTjBnR/pjXtvdwxMZaX8AkhxMMgKz4JcYs/UjPYtvsQuxKOcD0nFwBzMxN82z1Jt2da4+J0+0KDQjzWlGI0xdfRFF9DU5yFpjgLC+U6KI1BI/+LEQ9GfnLEY6+gsJBDx3/n282JHD15Vt3euKGWHh3b8ExbD8xMTfSYoRB6UlLwV9GRqRYfBsVZOoWIpvg6oLuWZ/2SHMz/SKCoVmuKLNqimDTQT/6i2pLiRDyWCgoLSTp+moRDJzhw9DfSM65iYWGBqYkRHbw86NGxNU0bOZbdkRDVkaJASS6a4kwMdAqNm4WHc/FZzC9q0JTklqMzDYphHRRDKxRDSxSDOuTnHMai5AbG2bsxzt5NibEjRRZtKarVBgxlVWRRNilOxGMjv6CQpOOnSDj0KweOppCXX6jua6Cty6A+nenY9kksapnpMUshKkgpQVOUeduIR2nhUTrygVJ41y5MyEFTYgEY3iw6jCwpMbT6qwD5qwhRv69z2+2b8+ktqaW1wChnH4Y3DmFQ+AcmmdGYZP5AsXkLiizaUWzmChp51F7cmRQnokbLyy8g6fgp9h46waFjp3QKkibODjzt2Ryf1s25npkhy2WLqk8p+mt+R9bNwqMo65ZbLZloirNoVnIZ80tlj04oBuYoBn+NeBjpFh3ncq/SyLEVGFjAg6ywrdFQYtKAApMGYN0Xw9zjGOXsxzDvJIa5RzDMPYJiaElRLa+bt32MZaFMoUuKE1Hj5OUXcOhYaUHyG/kFReq+po3q83Rrd55u3Rz7W5aTv56ZoY9UhfhbST6a4uuYKRcxvJHzV+FRetsl867zO+7k5m0Wa/WfJTojHTeLEAxM79q+QJMChrUr57w0xhTXakVxrVZoijIxunEAo5z9aIoyML4ei/H1WEpMXP667fMUGMjIpZDiRNQQ+QWF7N5/jISkXzl07JT6bhsAVxdHfFo352nP5vJ+G/HoKAoouWiKs29+lVy/OepRknPL52x1G8rNNXScSnIwzbC4S6canSKjxND65miHkbW67bfTqbg6Vs3FABUjawotu1FYxw+DgjMY5ezD6MZhDArOYFJwBpPMaIrMW2KiOAMykvk4k+JEVEslJSX8fv4yx1LOcezkGRIPHcfE9O+/uJ5o3ICn27jj08qNenWt9JipqJFKCm6Zx5F587bKX/M8Ghafw/wPIzTF2UBx+fvUGKMY1CaPOpiZu9wsPNTbLaXFR+2yH8/VpFfo1B4JjYYS08YUmDamwNofw9wjN2/75J++ObKCjb4zFHomxYmoFhRF4ezFVLUY+fXUeXJu5Kv7C4uKaenupI6Q2NpY6jFbUZ1plCI0henqfP/iJAAAIABJREFUrRSDW+Z2qHM9Sm7ctb0pOWiKb458KBqzmwWFYe2/5nfURjGo/dc/b/1cBzQmoNFwIScF83qP0aiBgSnFFm0ptmiLpjAdo9xfuJHrVHY7UaNJcSKqJEVROPfHFY6nnOXYybOc+O0c/9/emYc1daV//JuEIJvIFiIgggsKLnUH6lKLtBXbutQy6KPt2Apa0U47/uyCWLXLTK1oxaUdsaPWcabWqnUBrdiO0lo74zYVtXUporggEIMCsgQCub8/ElKiJBDuxXO5vp/nyUNyT77nfc/Je5OXc885t7xSZ/EetY8HeoUEoXePIDgr6jB4YD9G3hItxlADWW0x5LXFkNUWw9NwHQ7lxca5EuYfcTeb8yPsgqs1rl6pLWkk+TAe62a4BedCa5dV6jGuYjE4mC6rKDzNE0uvV91GkF8f0ygH7SJsD5zSB3plNFBEt4J42KHkhBAFHMfhRqEWv/6Wh3M513Au5yrKyi33WPDxckfvkCDjo0eQxeUauq+NiDHoTAmI1iIRkddqjUtaG+DNVcDxzpn765A5/p6smEcdXM2jDvVlDlwZ5NV5xhGO2pJ7VrKUmC612J5QykFhTDYc6ud0WM7rMCg8ALmb1VUs1bIccA50WYIg+EDJCcGEGr0eV64XIScvH5fy8nHs519hgOWeB14e7dG7RxB6h3RGr5Ag+Hp7mO9ATQgMZwAMlVBw5ZDVlgIwmAoMxomd4EzHONNrA2TgLF6DM8CNuwhl6dUGSYgWMkO5DcMKGBy8wDl4w+DgjTuVt9HO1c00YbR+smg5wNVAVncbsrrbNpsRbKiAk8bWqIfMPH/DoOhgSjhM8zlMyUdubiFC/Hs0u+sIghAeSk6IVofjOBTeumNKRG7i0tWbyLtRhLo6g/k9FRU6+Pv5ok9IEHqFdEbvHsHoqPKkZIQP9buAmleJmH7s6x8Wq0WMIwpdDBVwLmjqkoZ1OhoqoCy7Ry9TNkhAfCz+cooOFhtxFWtz4OV1z3wLjgO46vsSlt9fG1e+oK4CtZDB4NjJtHy2g0XSUb+0tsmNv2RFLW4/QRDCQMkJITjllVXGJCTvJnLy8pF7tcB8E716ZDKgs78K3YP9ERIcAKVMj+GRgykZsQeuDrLa25DXaiDTF8HXcBHtbh2xSELsWS3CyZ1RCxj3wIAcgMz4kMnAmV/D9OPe8DlMr+Uor6yGY/tQ80jI7wkIj89VJgNkTuDkTuDgY/OteeU5CFE/RJNJCUKiUHJC8KK6Ro/8Qi1++t8FfHv0Ai7l5eNm0f1D7x3cXRFiSkS6B/ujW2c/ODv9PskxJyeHEhNrcHrI9FrIa4sg12sg02tMz7VomHy4cxVQ6CxHLYy7gDacl9HetHLE3bRBl+khdwFkDsjLyUGIf8t/3AvLctDeg5IDgiD4QckJ0SQcx6GsvBL5hVrcLCrGzaJi3Cgsxk1NMW4VlwIAKioq4Opq/GFUKhXoGuiH7kF+COnSCd2D/ODj1YGSjyaQc9WQV1+DrFYDuV4Dub7IOCpSexvWJnFyCg8YlGoYHHxxq7IaDj5hpsmi7Wm1CEEQbRZKTggzdXV1uHW79Pfko6jYnJDcu4y3HoVCDj+VJ9o7q/HokH7oHuSPoAA1HBza8A29OM44AdNQady501BpfF5XYdzfwnRcZqgyHwdXha51pXC50fItv7sa7liZzCk3ztFQqmBwUMOgVJue+1ossS3V5sDXmUYtCIJo+1By8pBQP/pRUlaBkrJy89/SsnJcvHQFNXXf46amGLW1hkb1Ls6OCFD7wF/tjQC1NwI6Gp/7envAwUGBnJwccd44j+MATmdOLIzJRYUpufg94Qiouw6nwnamY5Wwa2dPE3LozVuQt8hVKGBQ+sGg9AXnoIZBqTImIg4+Te8KShAEISHoG68NYzAYUKWrgfZOGQyXb5iSjnLcKTUmH6V3K8yvS+9WwGBo/NJAw0sy3p7t4a/2RidT8lGfjHi4uz24yzJcrfF27pwesoZ/DcYffxlXa/EXnB5ehmtwvH2mkeSjeYmGMyog1zcYtZA5gpO7WDygcG3w2hW4pzw39wq6B3RvcbNzL+UhpGPPFusJgiCkAiUnDwiO41BXZ0B1jR762lrU6E2PGj0uXStEmQ6o1FWjSleNqqpqVFXXQFddg8oq0zFdze/luhpU6aqhq9YDsEwubOHm4gQPd1d4uLvBw90VHdzd4OHuhsq7JRgy8BH4q70tJqna2UDjXVW5atPyVdNfTgeZocpUVgWZQWfclIsz/TU9utRp4XLDyZiYoPHRG1t4cRVwqGi8DzhZO2MioXAzJxaWyYYr8qu0CFSHmd7n0qK5GpzMkd9OpjJ5y7UEQRASQrLJyfr167F69WoUFRUhNDQUS5YswdChQwW3c/z0RezO/AHu7j9Dr69FdY0eNbW15ud6UxJSXaM37lXVCM1NLu5FJgOc2jnC0QEI6uSPDu6u8DQlHPVJSIf2rvDsYPyrVDb+cefk5KBbZz/jCEVdmWlORX1SYUwoZFz98/oEo2HiUYVuBi1c8l3sbkM9ClQBnNz8ipM5mO414gBOpgTkjsa/poflc0cUV96G0rNbg+TD1Zx8NOeSSJUsB5yjX4v9JwiCIIRDksnJzp07kZSUhI8//hiRkZFYv349/vCHP+Do0aMIDAwU1FZBUTHOXLjarORCoZDDUelgfDgq4ejgAKXSAVWVFQjw7wjndo5wdnaEq5MDXJ2UcHFWwqWdEk5OCri0c4BzOwfjc0clnNrJ0U6pgExmwLWrlxEU2NGYXBj0AFcNcKWQcVrT5Q89cFdvHM0wXyapMU361JtGLZRoyTyLemTgTHdVdQIncwIa/pU7gZM7/75XhdzJ/Lz+fVeu5KNrQE9jItGC+RV3buXAx02Ec14IgiAIu5FkcvLpp59iypQpmDZtGgBg2bJlOHjwIDZu3IjFixcLauuxsEoMmlmFDu4KyOUyKOQyKBQyKGQwvzb+BWQyAwB9g+3AjY/yu6Vo71YIcHVo6r4fqANQZXqYCDBUoJ225bt6KlAFQG5KLpxNSYXz70mF3Nl03LlBsuFiSiyM77uUewMhnUJb7EOd7A4gd2qxniAIgpAOkktOampqkJ2djT/96U8Wx0eNGoVjx44Jbk/VQQGPimq4ujbRlTamURhXedQ2OKIAZArjrpwyuWkXzobHFAB+P15VUQYnJ7X58gdk9ZdAHI3zIGRKcHJH02WQBmWmY1cu30DXTr347YnR1JbgBEEQBNFMZCUlJU38q962KCgoQFhYGPbt24dhw4aZjy9duhTbt2/HyZMn79PwuaOtgquEAuUwbvcNcKZtvI3ITK9lDZ7jnvcaX3NQ/L5FOG1WRhAE0WJEua0BYReSGzmp595lrxzHWV0KyzeQ+e7x0db1YvCBtV4MPlAbqA+E0IvBB9Hum0Q8MCS3dtHb2xsKhQIajcbiuFarhUqlYuQVQRAEQRDNRXLJiaOjI/r374+srCyL41lZWYiIiGDkFUEQBEEQzUWSl3XmzJmDV155BYMGDUJERAQ2btyIwsJCvPzyy6xdIwiCIAiiCSSZnEycOBG3b9/GsmXLUFRUhLCwMGzbtg2dO3dm7RpBEARBEE0gyeQEABISEpCQkMDaDYIgCIIg7ERyc04IgiAIgmjbUHJCEARBEISokNwmbARBEARBtG1o5IQgCIIgCFFByQlBEARBEKKCkhOCIAiCIEQFJScEQRAEQYgKSk4IgiAIghAVlJwQBEEQBCEqJLtDLCFuysvLkZ2dDY1GA5lMBpVKhf79+8PNzY21a8RDBsXi/RgMBtTV1UGpVLZIv3nzZowfPx4dOnQQ2DPiYYFGTgRAq9VCr9fbrdPpdNi9ezfWrFmDPXv2QKfT2Xx/dnZ2S100U1FRgezsbFRXVwMAqqqqsH37dnz11VcoKCiwq56ffvoJO3fuxJ49e5CdnQ2Oa3rLnNraWrz99tsICQnB2LFjMXPmTMyYMQNjx45FSEgIkpKSWtSXDeu/fv16i/V8uHnzJvLy8lqs/8tf/gKtVttifUvjEGi7sdjSOATEH4tnz56Fl5eXzfd8/fXXmDZtGl5//fX7PpPi4mL069fPpl6v1+Pdd9/F6NGj8cEHHwAAUlNT4e/vD39/f8yYMcP8+djDvHnzUFhY2OT7Dh06hNraWvPr7du3Y/jw4fD398eAAQOQlpZmt21CGlByYgebNm0yn6gcx+Hjjz9GUFAQevTogaCgICQnJ8NgMFjVJyYmIiMjAwCQl5eHIUOGIDExERs3bkRiYiIiIiJs/rhFRUVhwIABWLlyJTQajd3+//zzz+jduzeioqIQHh6Oy5cv4/HHH8ef//xnzJs3D5GRkTh58qTNOgwGAxYtWmT+Qk9ISMBLL72EqKgoPPLII9i/f79N/YIFC5Ceno5Vq1bh0qVL0Gq10Gq1uHTpElavXo309HQsXLjQ7rbVc/78eZtfyBzHITU1FVFRUXjuueewd+9ei3KNRtPkD0JZWRmmT5+OsLAw85f33Llz0bt3bwwcOBAxMTEoLS21qr9z5859j9u3b2PVqlW4fPmy+Zg1+MYh0PZjkW8cAuxjsTnYSrT+9a9/4ZVXXoFcLkd+fj6eeuopbNq0yVxeV1fXZHL00UcfYcuWLRg8eDD27duHuXPnYv369Vi9ejVWr16Nn376CWvXrrWqDwwMbPRRW1uLUaNGmV9bIzY21hzre/bswaxZsxAZGYmPP/4YMTExWLx4MXbs2GGzDYQ0oR1i7cDLywsXL16ESqXC559/jnfeeQdvv/02Bg0ahDNnzmDJkiV45513MHPmzEb13bp1w969exEWFoYXXngBer0ef//73+Hu7o7y8nLMmTMHNTU1+PLLLxvVe3p6Ii4uDpmZmaiqqsLo0aPx0ksvITo6uln+jx8/Hmq1GgsWLMA//vEP7N69G4888gj+/ve/QyaTYfbs2SgsLER6errVOt59913s378f7733HpycnJCSkoLRo0djzJgx2L59O1avXo0vv/wSo0aNstoHGzduxMiRIxst//777xEfH4/c3Nxmtelezp49i5EjR+L27duNlq9ZswYpKSmYPn067t69iy1btmDOnDnmHyGNRoOePXvaTA7efPNN/PDDD4iPj0dGRgbat2+Pq1evYsWKFairq8O8efPw9NNPY9GiRY3qrSU/HMdBJpOZ/1prA984BNp+LPKNw/o+YBmLY8eOtamvH1myph82bBji4+Mxffp0AEBmZiZmzpyJBQsW4JVXXoFGo0FoaKhVPQD0798fH330EWJiYnD58mUMHjwY69evx8SJEwEAu3btwrJly/Cf//ynUX2nTp0wbNgwjB8/3nyM4zi89tprSE5Ohp+fHwBgypQpjeo9PT3x22+/QaVSISYmBo899hiSk5PN5WvWrMGuXbtw6NAhGz1FSBFKTuyg4Yk0atQoPP/885gzZ465fPPmzVi3bh1++umnRvUdO3bE0aNHERwcjF69euGLL77AgAEDzOUXLlzAmDFjcOXKFZv23dzcsHPnTmzevBnHjx9Hp06d8OKLL2Lq1KkICAiw6n9QUBD+/e9/IyQkBNXV1fD398e3336LQYMGATD+p/f0009btQ8AYWFh2LBhA4YOHQrAeCkjPDwcubm5aNeuHVJSUvDvf/8b3377baP6gIAAZGZmom/fvo2WnzlzBmPGjEF+fn6j5c0Zpi4sLLT6hRweHo758+fjueeeA2C8PDF58mTExsbiL3/5S7O+0Pv06YO//e1veOyxx1BQUIBevXphy5YtGDNmDADgwIEDeOedd3DixIlG9WFhYXjkkUcwZ84cyOXGwUuO4zBhwgSsXr0aQUFBAIDhw4c3qucbh0Dbj0W+cQiwj0WVSoXRo0ebf8Dv5fbt29i1a5dVvb+/P/773/+a4wUAjh49iri4OCQlJSE2NrbJWO7YsSNOnjyJTp06mV8fPnwYPXr0AGAcVRsxYoTVEZjc3FzEx8ejT58+WLp0KVxdXQEAPj4+OHLkCEJDQ63aBixjOSQkBNu3b0f//v3N5ZcuXcKoUaNw7do1m/UQ0oMmxNqJTCYDAFy9evW+/7juzfrvJSQkBCdPnkRwcDDc3d1RUlJiUV5aWmqu3xbOzs6YOnUqpk6divPnz2PTpk1Yu3YtUlJSEB0dja+++sqm7w2fKxQK8zGFQtHk9fry8nL4+/ubX6vVauh0OpSUlECtVmPcuHFYuXKlVf3w4cORnJyMzz777L4v5YKCAixcuBAjRoywqi8qKsLkyZPRrVu3RssLCgpsXqe+fv06Bg4caH7dv39/ZGRkYOzYsairq8PcuXOtauu5desWunbtCgDw8/ODs7MzQkJCzOVhYWFWf9AA4KeffsLs2bOxYsUKrFu3Dmq1GoDxMxk0aFCTX+j17wVaFodA249FvnEIsI/FHj164KmnnsIf//jHRsvPnDmDXbt2WdW7u7ujqKjIIjmJjIzEV199hbi4OBQVFVnVNqyjtLTUnJz069fPYiKwXq+3GQfdunXDd999h0WLFmHkyJH47LPPLM6v5vDrr7/Cw8MDTk5OqKursygzGAxNXqIkpAklJ3aSmZkJd3d3ODk5oaKiwqKsqqrK/J9wY7z66qtYuHAhVCoV/u///g9JSUlISUlBjx49kJOTg6SkJJtDvY19SYSFhWHp0qV4//33sXv3bmzevNmqvn///khNTUVSUhL++c9/Ijg4GJ999hn+9re/AQDWrVuHsLAwm+3v1asXtm3bhrfeegsAsGPHDri6upp/YA0GAxwdHa3qP/74Y8TFxaFPnz7o2bMnVCoVZDIZNBoNLl68iNDQUGzbts2qPiwsDL1798aMGTMaLT979qzNHwRvb2/cuHHD4gs9JCQE6enpGDt2LG7dumWz/YDxskpxcbH5C/3pp5+2WJVQUVFhsw+8vLywdetWrF27FlFRUUhJScGzzz7bpN2G8IlDoO3HIt84BNjHYr9+/XD69Gmr5e3atTPHWGMMHDgQ3333HcLDwy2OP/roo9i6dSvi4uKsauvp2bMnzpw5g969ewMwjvo15Ny5c+jSpYvNOpRKJZYsWYLHH38cU6dORXx8fLMS23omTpxoTkSPHj1qHj0DjAmarT4gpAslJ3bypz/9yfz8xx9/REREhPn1iRMnEBwcbFU7adIk3LlzB1OmTDEv1au/vAAAY8aMwYcffmhVb+s/yXbt2mHSpEmYNGmS1fcsWrQIsbGx2Lp1K3x8fJCRkYFXX30VISEhkMlkuHv3LrZu3WpVDwDJycmIi4vDvn374OTkhJMnT5pn+QPAwYMH8cgjj1jVd+rUCUeOHMHBgwdx4sQJ82TK8PBwvP/++xg1apTNH9aIiAhcunTJarmbm5t5qL8xIiMjkZGRgWHDhlkc79GjB/bs2dPkPADA+MN46tQp87D++vXrLcqzs7PNw+K2SExMxNChQzFjxgyblx8ag08cAm0/FvnGIcA+FlNTU+8bKWhIfeJgjdmzZ+P48eONlg0bNgxbt261OmeonuXLl9tM4nQ6HV577TWbddQzevRoZGVlYebMmRYrcGxxb3J27/JtvV6P119/vVl1EdKC5pwISGZmJpRKZZOTAktLS5GVlYW8vDwYDAao1WpERkZaHR6uZ8uWLXj++efRrl27FvtYUVGBnJwcdO/eHW5ubtDpdNi2bRt0Oh2ioqIsLk9Y45dffsGuXbtQXV2N6OhoREVFtdifB80vv/yC7OxsvPDCC42Wnz9/Hnv27EFSUpLVOoqLiyGXy+Hp6dlo+YEDB+Dk5GR1ouW9VFZW4q233sLhw4exe/du8yWjltLcOATadiy25TgkCMI2lJwQosJgMCA/P9/m8kOCEJKamhqL0YOjR4+iuroajz76aJOXhoQgNzcXx44ds9gELiIioskEUSh9a/jg6+uL8PDwB9oGQlrQZR0BqV/6d+8lg4dF35w6dDod5s+fj/T0dHh4eCAhIQGJiYnmcq1Wi379+tlcYWALvsmNEMkRx3G4ceMGMx/42hfCh7agLygowIsvvoiff/4ZQ4YMwdatWzFjxgwcPHgQABAcHIxvvvnG6mqaelqa3JSWlmLWrFnIzMyEq6srfHx8wHEciouLUVlZiZiYGKSlpcHd3b1V9GLwQYg2ENKENmETkMuXLzdrzoJU9c2pIyUlBQcOHEBycjJeeOEFLF++HDNnzrSYkW9rPoNOp8PcuXPRrVs3DBo06L4NouqTm9bSN6eOW7dutaoPfO0/CB/ErgeAxYsXQ6FQ4IsvvkBAQAAmT56MiooK/Prrrzhz5gzUajVWrFhhVV9QUIAnnngCHTt2xOjRo3Hnzh3ExsZizJgxmDBhAiIiImzudPvWW28hLy8P+/fvx40bN5CdnY3Tp0/jxo0b2L9/P/Ly8swTfltDLwYfhGgDIU1o5IR4oOzcuROrVq3Ck08+CcC4Q2RsbCwSEhLME0ttzfRvmNyUlZVh+fLlOHXqFNLS0iz2DGktvRh8oDYI0weHDx/GP//5TwwZMgSRkZHo2rUrdu/ebV6iPH/+fJuTMRsmN9u3b8fkyZMhl8vx66+/oq6uDjNmzMCKFSuwbNmyRvX79+/Hzp07MXjw4PvKIiIisHLlSsTGxlq1z1cvBh+EaAMhTSg5sYOmtjWXul6IOoqKiixWsgQGBiIjIwPjxo3D9OnT8de//tWmnm9yw1cvBh+oDcL0QUlJifmSjaenJ1xcXCwuA3Xt2tXm/WH4JjdN0dRy8NbWi8EHIdpAtE0oObEDZ2dnJCYmWt1R8tq1a1i8eLFk9ULUoVarceXKFYt9Rnx9fc3LeGfNmmXTPt/khq9eDD5QG4TpAx8fHxQVFZn30ZgxY4bFCqzS0lLzjqeNwTe5iYmJwWuvvYZVq1ZhyJAhFmUnTpzAn//8Z/Ouw62hF4MPQrSBkCaUnNhB37594enpaXEfiYacPXtW0noh6hgxYgS2b9+Oxx9/3OK4Wq1Geno6nnnmGZt6vskNX70YfKA2CNMHffv2xYkTJ8ybfr377rsW5UePHkWvXr2s6vkmNykpKUhISMBTTz2F9u3bw9vbGzKZDFqtFuXl5YiOjsbSpUtbTS8GH4RoAyFNKDmxgyeffBJlZWVWyz09PTF58mTJ6oWo480330ROTk6jZR07dsS+ffts3uSLb3LDVy8GH6gNwvTBli1bbJb369fPYnO7e+Gb3Hh4eGDHjh347bffcPz4cfMmcPXLcJvayI+vXgw+CNEGQprQPidEm+LatWvIycmxusFYYWEhDh06ZPUuqHz1YvCB2iBMH/ClfsKttbktJ06cgJOTk9VLoARBWIeSE4I5gYGB+PHHH5vccp0gWhvWscjXvhD+s/aB9WdAiAOaCs2TwMBA5OXlPbR6Iepoaslna9sXQx+w1ovBB9Z6gH0s8rXPVy8GH4RoA9H2oeSEJ6xPRNZ6oepgaV8MfcBaLwYfWOuFQAw+EIQUoOSEYE5cXBzat2/P2g2CYB6LfO0L4T9rH1h/BoQ4oNU6PGF9IrLWC1GHrS3CH4R9MfQBa70YfGCtB9jHIl/7fPVi8EGINhBtH5oQSzxwtFotzp49i759+8LHxwcajQabN29GdXU1nnvuOZvLLwlCSMQYi3369MGePXtafEdevnox+CBEG4i2DY2c2AnfL7O2rudbx/HjxxEbG4u7d+/C3d0du3fvxrRp06BUKmEwGLBmzRrs378fAwYMkGwfiEEvBh9Y61nH4ieffNLo8YKCAvzjH/+Ar68vAODVV19tFb0YfBCiDYQ0oZETO2jqy6ygoMDml1lb1wtRx/jx4xEUFIS//vWv2LRpE9LS0hAdHY3Vq1cDAObMmYOSkhJ88cUXku0D1nox+MBaD7CPRU9PT/j7+0OhUFgcv379Ovz8/ODg4ACZTIbTp0+3il4MPgjRBkKaUHJiB3y/zNq6Xog6goODceDAAfTs2RN6vR5qtRrfffedeZfN7OxsTJkyBefOnZNsH7DWi8EH1nqAfSy+/vrrOHXqFDZs2ICQkBDzcR8fHxw5cgShoaFWfRdCLwYfhGgDIU1otY4dnD59GnPmzEH79u0xa9YsFBQUYNq0aebyGTNm4NSpU5LVC1GHXq+Hk5MTAECpVMLFxQXe3t7mch8fH9y+fVvSfcBaLwYfWOsB9rG4atUqzJs3DxMmTMCmTZts+toaejH4IEQbCGlCyYkd8P0ya+t6IeoICAjA1atXza83bNgAtVptfl1UVAQvL69Wsy+GPmCtF4MPrPUA+1gEjKMv+/fvx5dffokpU6Y0+X6h9WLwQYg2ENKDkhM74Ptl1tb1QtQxfvx4FBUVmV+PHj0azs7O5tf79+/HwIEDW82+GPqAtV4MPrDWA+xjsZ7OnTvjm2++QVhYGIYPH273Rm589WLwQYg2ENJCkZSU9C5rJ9oKGo0GTk5O6N27NwCge/fuUCqV5vKNGzdCqVRi4sSJktQLUcdjjz1m1jbGgAEDMGHCBIs6hbQvhj5grReDD6z1APtYbIhcLsfIkSPRr18/BAYGYsSIEXBxcWlSJ5ReDD4I0QZCOtCEWAG5e/cuHBwcLP77epj0QtXBByn0AWu9GHxgrRcCMfhAEG0VSk6IB87PP/+MtWvX4tixY9BoNJDJZFCpVIiIiMDs2bNtLv8kCCFhHYt87QvhP2sfWH8GhDih5MROWJ+IrPV869i7dy9eeuklDB8+HNHR0VCpVOA4DlqtFllZWThy5Ag+//xzPPPMM5LtAzHoxeADaz3rWORrXwj/WfsgRBsIaULJiR2wPhFZ64Wo49FHH0VsbCzmzZvXaPmKFSuwbds2HD16VLJ9wFovBh9Y6wH2scjXPl+9GHwQog2ENKHkxA5Yn4is9ULUoVarceTIEYsNlxqSk5OD4cOHW6yiENK+GPqAtV4MPrDWA+xjka99vnox+CBEGwhpQkuJ7eDy5csYN26c1fKxY8fiypUrktULUUd3aqo2AAAPIElEQVSXLl2wd+9eq+V79+5FcHBwq9kXQx+w1ovBB9Z6gH0s8rXPVy8GH4RoAyFN6MZ/dlB/Is2dO7fR8uaeiG1VL0Qd8+fPR3x8PH788UdERUXB19cXMpkMRUVF+P7773H48GFs2LCh1eyLoQ9Y68XgA2s9wD4W+drnqxeDD0K0gZAmlJzYAesTkbVeiDrGjx8PPz8/pKWlYd26ddBoNAAAX19fhIeHY9++fQgPD5d0H7DWi8EH1nqAfSzytc9XLwYfhGgDIU1ozomdHD9+HGlpaTh+/Ph9J9KsWbOaPJHaul6oOvgghT5grReDD6z1QiAGHwhCilByQjAnNTUVL7/8Mjw8PFi7QjzksI5FvvaF8J+1D6w/A0Ic0IRYnqSmpqKkpOSh1QtRx4oVKx76PmCtF4MPrPUA+1jka5+vXgw+CNEGou1DyQlPWJ+IrPVC1MH3Jl9S6APWejH4wFoPsI9FvvaFuGEeax/opn8EQMkJb1ifiKz1QtXB0r4Y+oC1Xgw+sNYLgRh8IAgpQKt1COYcPXoU/v7+rN0gCOaxyNe+EP6z9oH1Z0CIA5oQy5MbN27A398fcnnLBqHaur6ldZSXlyM7O9vifiT9+/eHm5vbA7EvpF4MPlAbWq5nHYt87QvhP2sfhPwMCGlAIyctgPWJyFrPp47a2losWLAAmzdvhk6ng0KhAADU1dXByckJ06ZNwwcffAClUtmqbaAvdHH4wFLPOhb52hfCf9Y+CPUZENKDkhM7YH0istYLUceCBQuQnp6OVatWITo6Gt7e3gCA4uJiHDp0CIsXLwYAfPTRR5LtA9Z6MfjAWg+wj0W+9vnqxeCDEG0gpAklJ3bA+kRkrReijh07dmDjxo0YOXKkxXFvb2/84Q9/gEqlQnx8vKT7gLVeDD6w1gPsY5Gvfb56MfggRBsIaUJzTuygW7dujZ5I9Xz//feIj49Hbm6uJPVC1BEQEIDMzEz07du30fIzZ85gzJgxyM/PbxX7YugD1nox+MBaD7CPRb72+erF4IMQbSCkCS0ltgOdTgcvLy+r5V5eXtDpdJLVC1HH8OHDkZycjIKCgvvKCgoKsHDhQowYMaLV7IuhD1jrxeADaz3APhb52uerF4MPQrSBkCY0cmIHkyZNQmVlJT777DP4+flZlBUUFGDWrFlwdnbG1q1bJakXoo4bN24gLi4OFy9eRM+ePaFSqSCTyaDRaHDx4kWEhoZi27ZtCAgIkGwfsNaLwQfWeoB9LPK1z1cvBh+EaAMhTSg5sQPWJyJrvVB1GAwGHDx4ECdOnLjvZmmjRo2yuQxTCn3AWi8GH1jr62EZi3ztC6EXgw9CtIGQHpSc2AnrE5G1Xqg6+CCFPmCtF4MPrPVCIAYfCEKKUHJCiAqDwYD8/HwEBgaydoV4yGEdi3ztC+E/ax9YfwYEOyitFxCDwYDr168/tPrm1KHT6TB37lx069YNgwYNwtq1ay3KtVot+vXr12r2W1svBh+oDc3Ts45FvvaF8J+1D639GRBtF0pO7ID1ichaL0QdKSkpOHDgAJKTk/HCCy9g+fLlmDlzJgwGg/k9tm6eJoU+YK0Xgw+s9QD7WORrn69eDD4I0QZCmtAmbHbQ8EQqKyvD8uXLcerUKaSlpZmvLTf3RGyLeiHq2LlzJ1atWoUnn3wSABAbG4vY2FgkJCRg/fr1AACZTCbpPmCtF4MPrPUA+1jka5+vXgw+CNEGQprQyIkd1J9I8fHxmDt3Lr7//nucPn0aCQkJ5ky/OSdiW9ULUUdRURF69Ohhfh0YGIiMjAycO3cO06dPh16vb1X7YugD1nox+MBaD7CPRb72+erF4IMQbSCkCSUndsD6RGStF6IOtVqNK1euWBzz9fXFnj17cO7cOcyaNatV7YuhD1jrxeADaz3APhb52uerF4MPQrSBkCaUnNgB6xORtV6IOkaMGIHt27c3Wm96ejpu3rzZqvbF0Aes9WLwgbUeYB+LfO3z1YvBByHaQEgTSk7sgPWJyFovRB1vvvkmJk6c2GhZx44dsW/fPnzyySetZl8MfcBaLwYfWOsB9rHI1z5fvRh8EKINhDShfU7s4Nq1a8jJyUF0dHSj5YWFhTh06BCmTJkiSb1QdfBBCn3AWi8GH1jrhUAMPhCEVKHkhHjgVFRUYMeOHTh27Bg0Gg1kMhlUKhUiIyPx/PPPw9XVlbWLxEMC61jka18I/1n7wPozIMQJJSd2wvpEZK3nW8eFCxfw3HPPoby8HEOHDoVKpQLHcdBqtfjvf/8LNzc37Ny5E6GhoZLtAzHoxeADaz3rWORrXwj/WfsgRBsIaULJiR2wPhFZ64Wo49lnn4VKpcLatWvh5ORkUabT6TB79mxoNBrs3btXsn3AWi8GH1jrAfaxyNc+X70YfBCiDYQ0oeTEDlifiKz1QtTh5+eHrKwsq1/Y586dQ3R0NAoKClrFvhj6gLVeDD6w1gPsY5Gvfb56MfggRBsIaUI7xNrB//73P2RlZd33RQQATk5OeOONN6xOjpOCXog6PDw8cOnSJatfRrm5ufDw8Gg1+2LoA9Z6MfjAWg+wj0W+9vnqxeCDEG0gpAklJ3bA+kRkrReijj/+8Y+YPXs2cnJyEBUVBZVKBZlMBo1Gg6ysLKSmpmLOnDmtZl8MfcBaLwYfWOsB9rHI1z5fvRh8EKINhDSh5MQOWJ+IrPVC1DF//nw4OzsjLS0N77//vnl7b47joFarMW/ePLz++uuS7gPWejH4wFoPsI9Fvvb56sXggxBtIKQJzTmxk5UrVyItLQ1FRUX3nUiJiYlNnkhtXS9UHQCQl5cHjUYDwLizZnBwcLN0UugD1nox+MBa3xBWscjXvlB6MfggRBsI6UDJSQthfSKy1gtVBx+k0Aes9WLwgbVeCMTgA0FICUpOiAdOSUkJjh07Bg8PD4SHh1vcubWiogKffPIJ3n77bYYeEg8LrGORr30h/GftA+vPgBAndG8dOykpKcGBAwdw7NgxcJxlXldRUYGlS5dKWs+3jvPnzyMiIgJTpkxBTEwMoqKicO3atQfaBtZ9IAa9GHxgrWcdi3ztC+E/ax+EaAMhTWjkxA7Onz+PCRMmQKvVwmAwoF+/fti8eTM6d+4MANBoNAgNDcXt27clqReijsmTJ8PBwQHr1q3D3bt3kZSUhOPHjyMjIwPdunV7KPqAtV4MPrDWA+xjka99vnox+CBEGwhpQiMndvDee+9hyJAhuHbtGs6fP4/g4GDExMQgNzf3odALUcfJkyexYMECuLq6omPHjti0aRMmTJiAZ599FpcuXWp1+2LoA9Z6MfjAWg+wj0W+9vnqxeCDEG0gpAklJ3bA+kRkrReijpqaGotrygDw4YcfYsKECXjmmWdw8eLFVrUvhj5grReDD6z1APtY5Gufr14MPgjRBkKa0D4ndmDtROI4Ds888wzWr18vab0QdXTv3h2nTp26b+OqJUuWwGAwYOrUqa1qXwx9wFovBh9Y6wH2scjXPl+9GHwQog2ENKGREzuoP5HuZcmSJZgwYUKzT8S2qheijmeffRZff/11o2VLly5FXFzcfRMLhbQvhj5grReDD6z1APtY5Gufr14MPgjRBkKa0IRYO1ixYgX+85//YMeOHY2Wv/HGG9iwYQPu3LkjSb1QdfBBCn3AWi8GH1jrhUAMPhCEVKHkhCAIgiAIUUGXdQiCIAiCEBWUnBAEQRAEISooOSGINswXX3wBDw8PXL16lbUrBEEQgkHJCUE8hGRmZmLJkiWs3SAIgmgUSk4I4iHkwIEDdM8SgiBECyUnBEEQBEGICkpOCKKNcOLECTz11FNQq9Xo06cPUlNT79ug6ptvvsGkSZMQFhYGX19f9OnTB4sXL0Z1dbX5PYmJifj8888BAB4eHuZHw3krX3/9NaKjo+Hn54fOnTtj0qRJuHDhwoNpKEEQDz20fT1BtAEuXLiACRMmoH379njjjTfg6OiITZs2wdXV1eJ9//rXv6BQKDBz5kx4eHjg2LFjWLNmDfLz883bqb/88svIz8/H4cOHsW7dOrPWx8cHALBy5Uq8++67GDt2LCZPnoyKigqsX78eo0ePxg8//IDg4OAH1m6CIB5OaBM2gmgDvPjii8jMzMTx48fRpUsXAIBWq8XAgQNRVlaG06dPIygoCJWVlXBxcbHQLlu2DB9++CF++eUXBAQEAADmzp2Lzz//HCUlJRbvvX79OgYMGIB58+Zh/vz55uOFhYUIDw/HuHHj8Mknn7RyawmCeNihyzoEIXLq6upw8OBBxMTEmBMTwDjSERcXZ/He+sTEYDCgtLQUxcXFGDp0KDiOw+nTp5u0lZGRgdraWjz//PMoLi42P5RKJQYPHozDhw8L2ziCIIhGoMs6BCFytFotKisrERIScl9Z9+7dLV6fP38eixYtwpEjR1BVVWVRVlpa2qSt3NxcAEB4eHij5feOyhAEQbQGlJwQhMipn/Qqk8mslgHG5GPs2LFwdnbGwoUL0aVLFzg7O+PmzZuYPXs2DAZDk7bq37Njxw44ONz/9SCX02ArQRCtDyUnBCFyVCoVXFxc8Ntvv91XVj/SAQA//vgjtFot9u7di+HDh5uPZ2Vl3adrLNEBYL5s1KlTJ4SGhvJ1nSAIokXQv0EEIXIUCgVGjRqFzMxMXLlyxXxcq9Vi+/btFu8DLEdTDAYDPv300/vqrL88c++E2HHjxsHBwQFLlixpdKRFq9XyawxBEEQzoJETgmgDJCcn49ChQxgzZgwSEhKgVCqxadMmBAYGmueSREZGwsvLC4mJiXjllVfg4OCA9PR0lJeX31ffgAEDAABvvvkmnnjiCTg4OCAmJgbBwcF47733sGDBAjzxxBMYO3YsPD09cf36dXz77bcYPHgwUlNTH2jbCYJ4+KClxATRRjh27BjeeecdnDlzBiqVCvHx8VCpVHj11VfNS4lPnjxpfo+rqyvGjRuH6dOnY9iwYfj0008xdepUAMYVQMnJydi1axdu3bplXs0TFBQEwLi9/Zo1a3D69GnU1tbCz88PkZGRSEhIwMCBA1l2A0EQDwGUnBAEQRAEISpozglBEARBEKKCkhOCIAiCIEQFJScEQRAEQYgKSk4IgiAIghAVlJwQBEEQBCEqKDkhCIIgCEJUUHJCEARBEISooOSEIAiCIAhRQckJQRAEQRCi4v8BvZeJXrdYgcUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "US_cases = cases.select(cases.time_column)\n",
    "US_cases['US'] = cases.sum_cols()\n",
    "print('Current US Cases', US_cases['US'][-1])\n",
    "US_case_trend = US_cases.trend()\n",
    "prior_to(US_case_trend.extract(['US', 'new']), 21).oplot()\n",
    "_ = plots.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prior_to(US_case_trend.extract(['rate']), 28).oplot(width=8)\n",
    "_ = plots.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=sectionCases></a>\n",
    "## Cases to date by state\n",
    "\n",
    "The following shows the national picture built up state by state.  Only the largest are shown, with the remainder\n",
    "grouped into 'other'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Total US cases broken down by state\n",
    "cases.following(\"2020-03-15\").stackbar(15, height=6)\n",
    "_ = plots.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Cases by state over the past two weeks\n",
    "prior_to(cases.top(20), 14).plot('date', width=7, height=6)\n",
    "_ = plots.xticks(rotation=45)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def cases_since(cases, threshold=100, width=6, height=6):\n",
    "    _, axis = plots.subplots(figsize=(width, height))\n",
    "    for region in cases.categories :\n",
    "        ctbl = cases.extract(region)\n",
    "        since = ctbl.where(ctbl[region] >= threshold)\n",
    "        ndays = since.num_rows\n",
    "        vals = since[region]\n",
    "        axis.plot(vals)\n",
    "        axis.text(ndays-1, vals[-1], region)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cases_since(cases.top(10), 50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='sectionTrends'></a>\n",
    "## Growth trends by state\n",
    "\n",
    "An important caveat is that the dirth of testing makes the number of report cases, and particularly the change in that number, messy.  Increased test coverage will tend to increase the number of confirmed cases, whereas containment and mitigation measures may actually be reducing the spread.\n",
    "\n",
    "The `% new` columns simply look at what fraction of a day's cases are newly reported in that day.  The `rate` columns take the geometric mean of ratio of successive days over a window of the past few days. This provides a little smoothing, but it does not try to project changes in rate.  That is reflected in the series of rates.  Modulo the testing factors, this provides some indication of where measures are working or not.\n",
    "\n",
    "Death rates are relatively insensitive to the testing error, but are such a lagging indicator they have a limited role in setting expectations for case loads."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>date</th> <th>New York</th> <th>new New York</th> <th>% newNew York</th> <th>rate New York</th> <th>New Jersey</th> <th>new New Jersey</th> <th>% newNew Jersey</th> <th>rate New Jersey</th> <th>Michigan</th> <th>new Michigan</th> <th>% newMichigan</th> <th>rate Michigan</th> <th>California</th> <th>new California</th> <th>% newCalifornia</th> <th>rate California</th> <th>Louisiana</th> <th>new Louisiana</th> <th>% newLouisiana</th> <th>rate Louisiana</th> <th>Massachusetts</th> <th>new Massachusetts</th> <th>% newMassachusetts</th> <th>rate Massachusetts</th> <th>Florida</th> <th>new Florida</th> <th>% newFlorida</th> <th>rate Florida</th> <th>Pennsylvania</th> <th>new Pennsylvania</th> <th>% newPennsylvania</th> <th>rate Pennsylvania</th> <th>Illinois</th> <th>new Illinois</th> <th>% newIllinois</th> <th>rate Illinois</th> <th>Washington</th> <th>new Washington</th> <th>% newWashington</th> <th>rate Washington</th> <th>Texas</th> <th>new Texas</th> <th>% newTexas</th> <th>rate Texas</th> <th>Georgia</th> <th>new Georgia</th> <th>% newGeorgia</th> <th>rate Georgia</th> <th>Connecticut</th> <th>new Connecticut</th> <th>% newConnecticut</th> <th>rate Connecticut</th> <th>Colorado</th> <th>new Colorado</th> <th>% newColorado</th> <th>rate Colorado</th> <th>Indiana</th> <th>new Indiana</th> <th>% newIndiana</th> <th>rate Indiana</th> <th>Ohio</th> <th>new Ohio</th> <th>% newOhio</th> <th>rate Ohio</th> <th>Maryland</th> <th>new Maryland</th> <th>% newMaryland</th> <th>rate Maryland</th> <th>Tennessee</th> <th>new Tennessee</th> <th>% newTennessee</th> <th>rate Tennessee</th> <th>Virginia</th> <th>new Virginia</th> <th>% newVirginia</th> <th>rate Virginia</th> <th>North Carolina</th> <th>new North Carolina</th> <th>% newNorth Carolina</th> <th>rate North Carolina</th> <th>Missouri</th> <th>new Missouri</th> <th>% newMissouri</th> <th>rate Missouri</th> <th>Arizona</th> <th>new Arizona</th> <th>% newArizona</th> <th>rate Arizona</th> <th>Wisconsin</th> <th>new Wisconsin</th> <th>% newWisconsin</th> <th>rate Wisconsin</th> <th>South Carolina</th> <th>new South Carolina</th> <th>% newSouth Carolina</th> <th>rate South Carolina</th> <th>Nevada</th> <th>new Nevada</th> <th>% newNevada</th> <th>rate Nevada</th> <th>Alabama</th> <th>new Alabama</th> <th>% newAlabama</th> <th>rate Alabama</th> <th>Mississippi</th> <th>new Mississippi</th> <th>% newMississippi</th> <th>rate Mississippi</th> <th>Utah</th> <th>new Utah</th> <th>% newUtah</th> <th>rate Utah</th> <th>Oklahoma</th> <th>new Oklahoma</th> <th>% newOklahoma</th> <th>rate Oklahoma</th> <th>Idaho</th> <th>new Idaho</th> <th>% newIdaho</th> <th>rate Idaho</th> <th>Oregon</th> <th>new Oregon</th> <th>% newOregon</th> <th>rate Oregon</th> <th>Kentucky</th> <th>new Kentucky</th> <th>% newKentucky</th> <th>rate Kentucky</th> <th>District of Columbia</th> <th>new District of Columbia</th> <th>% newDistrict of Columbia</th> <th>rate District of Columbia</th> <th>Minnesota</th> <th>new Minnesota</th> <th>% newMinnesota</th> <th>rate Minnesota</th> <th>Rhode Island</th> <th>new Rhode Island</th> <th>% newRhode Island</th> <th>rate Rhode Island</th> <th>Iowa</th> <th>new Iowa</th> <th>% newIowa</th> <th>rate Iowa</th> <th>Arkansas</th> <th>new Arkansas</th> <th>% newArkansas</th> <th>rate Arkansas</th> <th>Kansas</th> <th>new Kansas</th> <th>% newKansas</th> <th>rate Kansas</th> <th>Delaware</th> <th>new Delaware</th> <th>% newDelaware</th> <th>rate Delaware</th> <th>New Hampshire</th> <th>new New Hampshire</th> <th>% newNew Hampshire</th> <th>rate New Hampshire</th> <th>New Mexico</th> <th>new New Mexico</th> <th>% newNew Mexico</th> <th>rate New Mexico</th> <th>Vermont</th> <th>new Vermont</th> <th>% newVermont</th> <th>rate Vermont</th> <th>Puerto Rico</th> <th>new Puerto Rico</th> <th>% newPuerto Rico</th> <th>rate Puerto Rico</th> <th>Maine</th> <th>new Maine</th> <th>% newMaine</th> <th>rate Maine</th> <th>Nebraska</th> <th>new Nebraska</th> <th>% newNebraska</th> <th>rate Nebraska</th> <th>Hawaii</th> <th>new Hawaii</th> <th>% newHawaii</th> <th>rate Hawaii</th> <th>West Virginia</th> <th>new West Virginia</th> <th>% newWest Virginia</th> <th>rate West Virginia</th> <th>Montana</th> <th>new Montana</th> <th>% newMontana</th> <th>rate Montana</th> <th>Guam</th> <th>new Guam</th> <th>% newGuam</th> <th>rate Guam</th> <th>South Dakota</th> <th>new South Dakota</th> <th>% newSouth Dakota</th> <th>rate South Dakota</th> <th>North Dakota</th> <th>new North Dakota</th> <th>% newNorth Dakota</th> <th>rate North Dakota</th> <th>Wyoming</th> <th>new Wyoming</th> <th>% newWyoming</th> <th>rate Wyoming</th> <th>Alaska</th> <th>new Alaska</th> <th>% newAlaska</th> <th>rate Alaska</th> <th>Virgin Islands</th> <th>new Virgin Islands</th> <th>% newVirgin Islands</th> <th>rate Virgin Islands</th> <th>Northern Mariana Islands</th> <th>new Northern Mariana Islands</th> <th>% newNorthern Mariana Islands</th> <th>rate Northern Mariana Islands</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>2020-03-29</td> <td>59568   </td> <td>6205        </td> <td>0.104167     </td> <td>1.11628      </td> <td>13386     </td> <td>2262          </td> <td>0.168983       </td> <td>1.20334        </td> <td>5486    </td> <td>851         </td> <td>0.155122     </td> <td>1.1836       </td> <td>6266      </td> <td>701           </td> <td>0.111874       </td> <td>1.12597        </td> <td>3540     </td> <td>225          </td> <td>0.0635593     </td> <td>1.06787       </td> <td>4955         </td> <td>698              </td> <td>0.140868          </td> <td>1.16397           </td> <td>4942   </td> <td>904        </td> <td>0.182922    </td> <td>1.22387     </td> <td>3441        </td> <td>626             </td> <td>0.181924         </td> <td>1.22238          </td> <td>4613    </td> <td>1066        </td> <td>0.231086     </td> <td>1.30054      </td> <td>4896      </td> <td>585           </td> <td>0.119485       </td> <td>1.1357         </td> <td>2712 </td> <td>551      </td> <td>0.203171  </td> <td>1.25497   </td> <td>2683   </td> <td>236        </td> <td>0.0879612   </td> <td>1.09644     </td> <td>1993       </td> <td>469            </td> <td>0.235324        </td> <td>1.30774         </td> <td>2315    </td> <td>254         </td> <td>0.109719     </td> <td>1.12324      </td> <td>1514   </td> <td>282        </td> <td>0.186262    </td> <td>1.2289      </td> <td>1665</td> <td>259     </td> <td>0.155556 </td> <td>1.18421  </td> <td>1244    </td> <td>178         </td> <td>0.143087     </td> <td>1.16698      </td> <td>1570     </td> <td>206          </td> <td>0.13121       </td> <td>1.15103       </td> <td>890     </td> <td>150         </td> <td>0.168539     </td> <td>1.2027       </td> <td>1167          </td> <td>195               </td> <td>0.167095           </td> <td>1.20062            </td> <td>903     </td> <td>65          </td> <td>0.0719823    </td> <td>1.07757      </td> <td>929    </td> <td>156        </td> <td>0.167922    </td> <td>1.20181     </td> <td>1120     </td> <td>78           </td> <td>0.0696429     </td> <td>1.07486       </td> <td>774           </td> <td>114               </td> <td>0.147287           </td> <td>1.17273            </td> <td>920   </td> <td>182       </td> <td>0.197826   </td> <td>1.24661    </td> <td>830    </td> <td>110        </td> <td>0.13253     </td> <td>1.15278     </td> <td>759        </td> <td>90             </td> <td>0.118577        </td> <td>1.13453         </td> <td>719 </td> <td>111     </td> <td>0.154381 </td> <td>1.18257  </td> <td>429     </td> <td>52          </td> <td>0.121212     </td> <td>1.13793      </td> <td>310  </td> <td>49       </td> <td>0.158065  </td> <td>1.18774   </td> <td>548   </td> <td>69        </td> <td>0.125912   </td> <td>1.14405    </td> <td>439     </td> <td>45          </td> <td>0.102506     </td> <td>1.11421      </td> <td>342                 </td> <td>0                       </td> <td>0                        </td> <td>1                        </td> <td>504      </td> <td>63           </td> <td>0.125         </td> <td>1.14286       </td> <td>294         </td> <td>55              </td> <td>0.187075         </td> <td>1.23013          </td> <td>336 </td> <td>38      </td> <td>0.113095 </td> <td>1.12752  </td> <td>449     </td> <td>40          </td> <td>0.0890869    </td> <td>1.0978       </td> <td>332   </td> <td>61        </td> <td>0.183735   </td> <td>1.22509    </td> <td>232     </td> <td>18          </td> <td>0.0775862    </td> <td>1.08411      </td> <td>258          </td> <td>44               </td> <td>0.170543          </td> <td>1.20561           </td> <td>237       </td> <td>29            </td> <td>0.122363       </td> <td>1.13942        </td> <td>235    </td> <td>24         </td> <td>0.102128    </td> <td>1.11374     </td> <td>127        </td> <td>27             </td> <td>0.212598        </td> <td>1.27            </td> <td>253  </td> <td>42       </td> <td>0.166008  </td> <td>1.19905   </td> <td>137     </td> <td>15          </td> <td>0.109489     </td> <td>1.12295      </td> <td>175   </td> <td>24        </td> <td>0.137143   </td> <td>1.15894    </td> <td>124          </td> <td>11               </td> <td>0.0887097         </td> <td>1.09735           </td> <td>161    </td> <td>14         </td> <td>0.0869565   </td> <td>1.09524     </td> <td>58  </td> <td>1       </td> <td>0.0172414</td> <td>1.01754  </td> <td>90          </td> <td>22              </td> <td>0.244444         </td> <td>1.32353          </td> <td>98          </td> <td>4               </td> <td>0.0408163        </td> <td>1.04255          </td> <td>87     </td> <td>3          </td> <td>0.0344828   </td> <td>1.03571     </td> <td>114   </td> <td>12        </td> <td>0.105263   </td> <td>1.11765    </td> <td>23            </td> <td>4                 </td> <td>0.173913           </td> <td>1.21053            </td> <td>2                       </td> <td>0                           </td> <td>0                            </td> <td>1                            </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-03-30</td> <td>67174   </td> <td>7606        </td> <td>0.113228     </td> <td>1.12769      </td> <td>16636     </td> <td>3250          </td> <td>0.195359       </td> <td>1.24279        </td> <td>6508    </td> <td>1022        </td> <td>0.157037     </td> <td>1.18629      </td> <td>7421      </td> <td>1155          </td> <td>0.155639       </td> <td>1.18433        </td> <td>4025     </td> <td>485          </td> <td>0.120497      </td> <td>1.13701       </td> <td>5752         </td> <td>797              </td> <td>0.138561          </td> <td>1.16085           </td> <td>5694   </td> <td>752        </td> <td>0.132069    </td> <td>1.15217     </td> <td>4156        </td> <td>715             </td> <td>0.17204          </td> <td>1.20779          </td> <td>5070    </td> <td>457         </td> <td>0.0901381    </td> <td>1.09907      </td> <td>5179      </td> <td>283           </td> <td>0.0546438      </td> <td>1.0578         </td> <td>3043 </td> <td>331      </td> <td>0.108774  </td> <td>1.12205   </td> <td>3032   </td> <td>349        </td> <td>0.115106    </td> <td>1.13008     </td> <td>2571       </td> <td>578            </td> <td>0.224815        </td> <td>1.29002         </td> <td>2628    </td> <td>313         </td> <td>0.119102     </td> <td>1.13521      </td> <td>1788   </td> <td>274        </td> <td>0.153244    </td> <td>1.18098     </td> <td>1933</td> <td>268     </td> <td>0.138645 </td> <td>1.16096  </td> <td>1414    </td> <td>170         </td> <td>0.120226     </td> <td>1.13666      </td> <td>1721     </td> <td>151          </td> <td>0.0877397     </td> <td>1.09618       </td> <td>1021    </td> <td>131         </td> <td>0.128306     </td> <td>1.14719      </td> <td>1304          </td> <td>137               </td> <td>0.105061           </td> <td>1.1174             </td> <td>1050    </td> <td>147         </td> <td>0.14         </td> <td>1.16279      </td> <td>1169   </td> <td>240        </td> <td>0.205304    </td> <td>1.25834     </td> <td>1267     </td> <td>147          </td> <td>0.116022      </td> <td>1.13125       </td> <td>925           </td> <td>151               </td> <td>0.163243           </td> <td>1.19509            </td> <td>1044  </td> <td>124       </td> <td>0.118774   </td> <td>1.13478    </td> <td>947    </td> <td>117        </td> <td>0.123548    </td> <td>1.14096     </td> <td>848        </td> <td>89             </td> <td>0.104953        </td> <td>1.11726         </td> <td>806 </td> <td>87      </td> <td>0.10794  </td> <td>1.121    </td> <td>481     </td> <td>52          </td> <td>0.108108     </td> <td>1.12121      </td> <td>415  </td> <td>105      </td> <td>0.253012  </td> <td>1.33871   </td> <td>606   </td> <td>58        </td> <td>0.0957096  </td> <td>1.10584    </td> <td>480     </td> <td>41          </td> <td>0.0854167    </td> <td>1.09339      </td> <td>495                 </td> <td>153                     </td> <td>0.309091                 </td> <td>1.44737                  </td> <td>576      </td> <td>72           </td> <td>0.125         </td> <td>1.14286       </td> <td>408         </td> <td>114             </td> <td>0.279412         </td> <td>1.38776          </td> <td>424 </td> <td>88      </td> <td>0.207547 </td> <td>1.2619   </td> <td>508     </td> <td>59          </td> <td>0.116142     </td> <td>1.1314       </td> <td>373   </td> <td>41        </td> <td>0.10992    </td> <td>1.12349    </td> <td>264     </td> <td>32          </td> <td>0.121212     </td> <td>1.13793      </td> <td>314          </td> <td>56               </td> <td>0.178344          </td> <td>1.21705           </td> <td>281       </td> <td>44            </td> <td>0.156584       </td> <td>1.18565        </td> <td>256    </td> <td>21         </td> <td>0.0820312   </td> <td>1.08936     </td> <td>174        </td> <td>47             </td> <td>0.270115        </td> <td>1.37008         </td> <td>275  </td> <td>22       </td> <td>0.08      </td> <td>1.08696   </td> <td>185     </td> <td>48          </td> <td>0.259459     </td> <td>1.35036      </td> <td>204   </td> <td>29        </td> <td>0.142157   </td> <td>1.16571    </td> <td>145          </td> <td>21               </td> <td>0.144828          </td> <td>1.16935           </td> <td>177    </td> <td>16         </td> <td>0.0903955   </td> <td>1.09938     </td> <td>60  </td> <td>2       </td> <td>0.0333333</td> <td>1.03448  </td> <td>101         </td> <td>11              </td> <td>0.108911         </td> <td>1.12222          </td> <td>109         </td> <td>11              </td> <td>0.100917         </td> <td>1.11224          </td> <td>95     </td> <td>8          </td> <td>0.0842105   </td> <td>1.09195     </td> <td>119   </td> <td>5         </td> <td>0.0420168  </td> <td>1.04386    </td> <td>30            </td> <td>7                 </td> <td>0.233333           </td> <td>1.30435            </td> <td>2                       </td> <td>0                           </td> <td>0                            </td> <td>1                            </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-03-31</td> <td>75832   </td> <td>8658        </td> <td>0.114173     </td> <td>1.12889      </td> <td>18696     </td> <td>2060          </td> <td>0.110184       </td> <td>1.12383        </td> <td>7630    </td> <td>1122        </td> <td>0.147051     </td> <td>1.1724       </td> <td>8582      </td> <td>1161          </td> <td>0.135283       </td> <td>1.15645        </td> <td>5237     </td> <td>1212         </td> <td>0.23143       </td> <td>1.30112       </td> <td>6620         </td> <td>868              </td> <td>0.131118          </td> <td>1.1509            </td> <td>6741   </td> <td>1047       </td> <td>0.155318    </td> <td>1.18388     </td> <td>4997        </td> <td>841             </td> <td>0.168301         </td> <td>1.20236          </td> <td>5994    </td> <td>924         </td> <td>0.154154     </td> <td>1.18225      </td> <td>5292      </td> <td>113           </td> <td>0.021353       </td> <td>1.02182        </td> <td>3576 </td> <td>533      </td> <td>0.149049  </td> <td>1.17516   </td> <td>4117   </td> <td>1085       </td> <td>0.263541    </td> <td>1.35785     </td> <td>3128       </td> <td>557            </td> <td>0.178069        </td> <td>1.21665         </td> <td>2990    </td> <td>362         </td> <td>0.12107      </td> <td>1.13775      </td> <td>2159   </td> <td>371        </td> <td>0.171839    </td> <td>1.20749     </td> <td>2199</td> <td>266     </td> <td>0.120964 </td> <td>1.13761  </td> <td>1662    </td> <td>248         </td> <td>0.149218     </td> <td>1.17539      </td> <td>2049     </td> <td>328          </td> <td>0.160078      </td> <td>1.19059       </td> <td>1250    </td> <td>229         </td> <td>0.1832       </td> <td>1.22429      </td> <td>1528          </td> <td>224               </td> <td>0.146597           </td> <td>1.17178            </td> <td>1351    </td> <td>301         </td> <td>0.222798     </td> <td>1.28667      </td> <td>1298   </td> <td>129        </td> <td>0.0993837   </td> <td>1.11035     </td> <td>1351     </td> <td>84           </td> <td>0.0621762     </td> <td>1.0663        </td> <td>1083          </td> <td>158               </td> <td>0.145891           </td> <td>1.17081            </td> <td>1113  </td> <td>69        </td> <td>0.0619946  </td> <td>1.06609    </td> <td>999    </td> <td>52         </td> <td>0.0520521   </td> <td>1.05491     </td> <td>937        </td> <td>89             </td> <td>0.094984        </td> <td>1.10495         </td> <td>887 </td> <td>81      </td> <td>0.0913191</td> <td>1.1005   </td> <td>566     </td> <td>85          </td> <td>0.150177     </td> <td>1.17672      </td> <td>526  </td> <td>111      </td> <td>0.211027  </td> <td>1.26747   </td> <td>690   </td> <td>84        </td> <td>0.121739   </td> <td>1.13861    </td> <td>590     </td> <td>110         </td> <td>0.186441     </td> <td>1.22917      </td> <td>495                 </td> <td>0                       </td> <td>0                        </td> <td>1                        </td> <td>629      </td> <td>53           </td> <td>0.0842607     </td> <td>1.09201       </td> <td>488         </td> <td>80              </td> <td>0.163934         </td> <td>1.19608          </td> <td>498 </td> <td>74      </td> <td>0.148594 </td> <td>1.17453  </td> <td>564     </td> <td>56          </td> <td>0.0992908    </td> <td>1.11024      </td> <td>434   </td> <td>61        </td> <td>0.140553   </td> <td>1.16354    </td> <td>319     </td> <td>55          </td> <td>0.172414     </td> <td>1.20833      </td> <td>367          </td> <td>53               </td> <td>0.144414          </td> <td>1.16879           </td> <td>315       </td> <td>34            </td> <td>0.107937       </td> <td>1.121          </td> <td>293    </td> <td>37         </td> <td>0.12628     </td> <td>1.14453     </td> <td>239        </td> <td>65             </td> <td>0.271967        </td> <td>1.37356         </td> <td>303  </td> <td>28       </td> <td>0.0924092 </td> <td>1.10182   </td> <td>193     </td> <td>8           </td> <td>0.0414508    </td> <td>1.04324      </td> <td>224   </td> <td>20        </td> <td>0.0892857  </td> <td>1.09804    </td> <td>162          </td> <td>17               </td> <td>0.104938          </td> <td>1.11724           </td> <td>198    </td> <td>21         </td> <td>0.106061    </td> <td>1.11864     </td> <td>139 </td> <td>79      </td> <td>0.568345 </td> <td>2.31667  </td> <td>108         </td> <td>7               </td> <td>0.0648148        </td> <td>1.06931          </td> <td>126         </td> <td>17              </td> <td>0.134921         </td> <td>1.15596          </td> <td>120    </td> <td>25         </td> <td>0.208333    </td> <td>1.26316     </td> <td>133   </td> <td>14        </td> <td>0.105263   </td> <td>1.11765    </td> <td>30            </td> <td>0                 </td> <td>0                  </td> <td>1                  </td> <td>2                       </td> <td>0                           </td> <td>0                            </td> <td>1                            </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-01</td> <td>83889   </td> <td>8057        </td> <td>0.0960436    </td> <td>1.10625      </td> <td>22255     </td> <td>3559          </td> <td>0.159919       </td> <td>1.19036        </td> <td>9293    </td> <td>1663        </td> <td>0.178952     </td> <td>1.21796      </td> <td>9816      </td> <td>1234          </td> <td>0.125713       </td> <td>1.14379        </td> <td>6424     </td> <td>1187         </td> <td>0.184776      </td> <td>1.22666       </td> <td>7738         </td> <td>1118             </td> <td>0.144482          </td> <td>1.16888           </td> <td>7765   </td> <td>1024       </td> <td>0.131874    </td> <td>1.15191     </td> <td>5805        </td> <td>808             </td> <td>0.13919          </td> <td>1.1617           </td> <td>6980    </td> <td>986         </td> <td>0.141261     </td> <td>1.1645       </td> <td>5588      </td> <td>296           </td> <td>0.0529707      </td> <td>1.05593        </td> <td>4261 </td> <td>685      </td> <td>0.16076   </td> <td>1.19155   </td> <td>4748   </td> <td>631        </td> <td>0.132898    </td> <td>1.15327     </td> <td>3557       </td> <td>429            </td> <td>0.120607        </td> <td>1.13715         </td> <td>3346    </td> <td>356         </td> <td>0.106396     </td> <td>1.11906      </td> <td>2565   </td> <td>406        </td> <td>0.158285    </td> <td>1.18805     </td> <td>2547</td> <td>348     </td> <td>0.136631 </td> <td>1.15825  </td> <td>1985    </td> <td>323         </td> <td>0.16272      </td> <td>1.19434      </td> <td>2690     </td> <td>641          </td> <td>0.23829       </td> <td>1.31284       </td> <td>1511    </td> <td>261         </td> <td>0.172733     </td> <td>1.2088       </td> <td>1582          </td> <td>54                </td> <td>0.034134           </td> <td>1.03534            </td> <td>1581    </td> <td>230         </td> <td>0.145478     </td> <td>1.17024      </td> <td>1413   </td> <td>115        </td> <td>0.0813871   </td> <td>1.0886      </td> <td>1550     </td> <td>199          </td> <td>0.128387      </td> <td>1.1473        </td> <td>1293          </td> <td>210               </td> <td>0.162413           </td> <td>1.19391            </td> <td>1279  </td> <td>166       </td> <td>0.129789   </td> <td>1.14915    </td> <td>1106   </td> <td>107        </td> <td>0.096745    </td> <td>1.10711     </td> <td>1073       </td> <td>136            </td> <td>0.126747        </td> <td>1.14514         </td> <td>1012</td> <td>125     </td> <td>0.123518 </td> <td>1.14092  </td> <td>719     </td> <td>153         </td> <td>0.212796     </td> <td>1.27032      </td> <td>669  </td> <td>143      </td> <td>0.213752  </td> <td>1.27186   </td> <td>736   </td> <td>46        </td> <td>0.0625     </td> <td>1.06667    </td> <td>682     </td> <td>92          </td> <td>0.134897     </td> <td>1.15593      </td> <td>586                 </td> <td>91                      </td> <td>0.15529                  </td> <td>1.18384                  </td> <td>689      </td> <td>60           </td> <td>0.0870827     </td> <td>1.09539       </td> <td>566         </td> <td>78              </td> <td>0.137809         </td> <td>1.15984          </td> <td>549 </td> <td>51      </td> <td>0.0928962</td> <td>1.10241  </td> <td>624     </td> <td>60          </td> <td>0.0961538    </td> <td>1.10638      </td> <td>488   </td> <td>54        </td> <td>0.110656   </td> <td>1.12442    </td> <td>368     </td> <td>49          </td> <td>0.133152     </td> <td>1.15361      </td> <td>415          </td> <td>48               </td> <td>0.115663          </td> <td>1.13079           </td> <td>363       </td> <td>48            </td> <td>0.132231       </td> <td>1.15238        </td> <td>321    </td> <td>28         </td> <td>0.0872274   </td> <td>1.09556     </td> <td>286        </td> <td>47             </td> <td>0.164336        </td> <td>1.19665         </td> <td>344  </td> <td>41       </td> <td>0.119186  </td> <td>1.13531   </td> <td>249     </td> <td>56          </td> <td>0.2249       </td> <td>1.29016      </td> <td>258   </td> <td>34        </td> <td>0.131783   </td> <td>1.15179    </td> <td>191          </td> <td>29               </td> <td>0.151832          </td> <td>1.17901           </td> <td>217    </td> <td>19         </td> <td>0.0875576   </td> <td>1.09596     </td> <td>147 </td> <td>8       </td> <td>0.0544218</td> <td>1.05755  </td> <td>129         </td> <td>21              </td> <td>0.162791         </td> <td>1.19444          </td> <td>147         </td> <td>21              </td> <td>0.142857         </td> <td>1.16667          </td> <td>137    </td> <td>17         </td> <td>0.124088    </td> <td>1.14167     </td> <td>143   </td> <td>10        </td> <td>0.0699301  </td> <td>1.07519    </td> <td>30            </td> <td>0                 </td> <td>0                  </td> <td>1                  </td> <td>6                       </td> <td>4                           </td> <td>0.666667                     </td> <td>3                            </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-02</td> <td>92770   </td> <td>8881        </td> <td>0.0957314    </td> <td>1.10587      </td> <td>25590     </td> <td>3335          </td> <td>0.130324       </td> <td>1.14985        </td> <td>10791   </td> <td>1498        </td> <td>0.138819     </td> <td>1.1612       </td> <td>10995     </td> <td>1179          </td> <td>0.107231       </td> <td>1.12011        </td> <td>9150     </td> <td>2726         </td> <td>0.297923      </td> <td>1.42435       </td> <td>8966         </td> <td>1228             </td> <td>0.136962          </td> <td>1.1587            </td> <td>9000   </td> <td>1235       </td> <td>0.137222    </td> <td>1.15905     </td> <td>7016        </td> <td>1211            </td> <td>0.172605         </td> <td>1.20861          </td> <td>7695    </td> <td>715         </td> <td>0.0929175    </td> <td>1.10244      </td> <td>6585      </td> <td>997           </td> <td>0.151405       </td> <td>1.17842        </td> <td>4880 </td> <td>619      </td> <td>0.126844  </td> <td>1.14527   </td> <td>5444   </td> <td>696        </td> <td>0.127847    </td> <td>1.14659     </td> <td>3824       </td> <td>267            </td> <td>0.0698222       </td> <td>1.07506         </td> <td>3728    </td> <td>382         </td> <td>0.102468     </td> <td>1.11417      </td> <td>3039   </td> <td>474        </td> <td>0.155972    </td> <td>1.1848      </td> <td>2902</td> <td>355     </td> <td>0.122329 </td> <td>1.13938  </td> <td>2331    </td> <td>346         </td> <td>0.148434     </td> <td>1.17431      </td> <td>2869     </td> <td>179          </td> <td>0.0623911     </td> <td>1.06654       </td> <td>1706    </td> <td>195         </td> <td>0.114302     </td> <td>1.12905      </td> <td>1857          </td> <td>275               </td> <td>0.148088           </td> <td>1.17383            </td> <td>1834    </td> <td>253         </td> <td>0.13795      </td> <td>1.16003      </td> <td>1600   </td> <td>187        </td> <td>0.116875    </td> <td>1.13234     </td> <td>1730     </td> <td>180          </td> <td>0.104046      </td> <td>1.11613       </td> <td>1554          </td> <td>261               </td> <td>0.167954           </td> <td>1.20186            </td> <td>1458  </td> <td>179       </td> <td>0.122771   </td> <td>1.13995    </td> <td>1270   </td> <td>164        </td> <td>0.129134    </td> <td>1.14828     </td> <td>1177       </td> <td>104            </td> <td>0.0883602       </td> <td>1.09692         </td> <td>1074</td> <td>62      </td> <td>0.0577281</td> <td>1.06126  </td> <td>879     </td> <td>160         </td> <td>0.182025     </td> <td>1.22253      </td> <td>891  </td> <td>222      </td> <td>0.249158  </td> <td>1.33184   </td> <td>826   </td> <td>90        </td> <td>0.108959   </td> <td>1.12228    </td> <td>755     </td> <td>73          </td> <td>0.0966887    </td> <td>1.10704      </td> <td>653                 </td> <td>67                      </td> <td>0.102603                 </td> <td>1.11433                  </td> <td>742      </td> <td>53           </td> <td>0.0714286     </td> <td>1.07692       </td> <td>657         </td> <td>91              </td> <td>0.138508         </td> <td>1.16078          </td> <td>614 </td> <td>65      </td> <td>0.105863 </td> <td>1.1184   </td> <td>683     </td> <td>59          </td> <td>0.0863836    </td> <td>1.09455      </td> <td>554   </td> <td>66        </td> <td>0.119134   </td> <td>1.13525    </td> <td>393     </td> <td>25          </td> <td>0.0636132    </td> <td>1.06793      </td> <td>479          </td> <td>64               </td> <td>0.133612          </td> <td>1.15422           </td> <td>403       </td> <td>40            </td> <td>0.0992556      </td> <td>1.11019        </td> <td>338    </td> <td>17         </td> <td>0.0502959   </td> <td>1.05296     </td> <td>316        </td> <td>30             </td> <td>0.0949367       </td> <td>1.1049          </td> <td>376  </td> <td>32       </td> <td>0.0851064 </td> <td>1.09302   </td> <td>273     </td> <td>24          </td> <td>0.0879121    </td> <td>1.09639      </td> <td>283   </td> <td>25        </td> <td>0.0883392  </td> <td>1.0969     </td> <td>217          </td> <td>26               </td> <td>0.119816          </td> <td>1.13613           </td> <td>241    </td> <td>24         </td> <td>0.0995851   </td> <td>1.1106      </td> <td>152 </td> <td>5       </td> <td>0.0328947</td> <td>1.03401  </td> <td>165         </td> <td>36              </td> <td>0.218182         </td> <td>1.27907          </td> <td>159         </td> <td>12              </td> <td>0.0754717        </td> <td>1.08163          </td> <td>153    </td> <td>16         </td> <td>0.104575    </td> <td>1.11679     </td> <td>146   </td> <td>3         </td> <td>0.0205479  </td> <td>1.02098    </td> <td>37            </td> <td>7                 </td> <td>0.189189           </td> <td>1.23333            </td> <td>8                       </td> <td>2                           </td> <td>0.25                         </td> <td>1.33333                      </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-03</td> <td>102870  </td> <td>10100       </td> <td>0.0981822    </td> <td>1.10887      </td> <td>29895     </td> <td>4305          </td> <td>0.144004       </td> <td>1.16823        </td> <td>12670   </td> <td>1879        </td> <td>0.148303     </td> <td>1.17413      </td> <td>12569     </td> <td>1574          </td> <td>0.125229       </td> <td>1.14316        </td> <td>10297    </td> <td>1147         </td> <td>0.111392      </td> <td>1.12536       </td> <td>10402        </td> <td>1436             </td> <td>0.13805           </td> <td>1.16016           </td> <td>10260  </td> <td>1260       </td> <td>0.122807    </td> <td>1.14        </td> <td>8420        </td> <td>1404            </td> <td>0.166746         </td> <td>1.20011          </td> <td>8904    </td> <td>1209        </td> <td>0.135782     </td> <td>1.15712      </td> <td>6966      </td> <td>381           </td> <td>0.0546942      </td> <td>1.05786        </td> <td>5669 </td> <td>789      </td> <td>0.139178  </td> <td>1.16168   </td> <td>5967   </td> <td>523        </td> <td>0.0876487   </td> <td>1.09607     </td> <td>4915       </td> <td>1091           </td> <td>0.221974        </td> <td>1.2853          </td> <td>4182    </td> <td>454         </td> <td>0.10856      </td> <td>1.12178      </td> <td>3437   </td> <td>398        </td> <td>0.115799    </td> <td>1.13096     </td> <td>3312</td> <td>410     </td> <td>0.123792 </td> <td>1.14128  </td> <td>2758    </td> <td>427         </td> <td>0.154822     </td> <td>1.18318      </td> <td>3032     </td> <td>163          </td> <td>0.0537599     </td> <td>1.05681       </td> <td>2012    </td> <td>306         </td> <td>0.152087     </td> <td>1.17937      </td> <td>2093          </td> <td>236               </td> <td>0.112757           </td> <td>1.12709            </td> <td>2113    </td> <td>279         </td> <td>0.13204      </td> <td>1.15213      </td> <td>1769   </td> <td>169        </td> <td>0.0955342   </td> <td>1.10563     </td> <td>1916     </td> <td>186          </td> <td>0.0970772     </td> <td>1.10751       </td> <td>1700          </td> <td>146               </td> <td>0.0858824          </td> <td>1.09395            </td> <td>1549  </td> <td>91        </td> <td>0.0587476  </td> <td>1.06241    </td> <td>1535   </td> <td>265        </td> <td>0.172638    </td> <td>1.20866     </td> <td>1358       </td> <td>181            </td> <td>0.133284        </td> <td>1.15378         </td> <td>1260</td> <td>186     </td> <td>0.147619 </td> <td>1.17318  </td> <td>988     </td> <td>109         </td> <td>0.110324     </td> <td>1.124        </td> <td>1013 </td> <td>122      </td> <td>0.120434  </td> <td>1.13692   </td> <td>899   </td> <td>73        </td> <td>0.0812013  </td> <td>1.08838    </td> <td>770     </td> <td>15          </td> <td>0.0194805    </td> <td>1.01987      </td> <td>757                 </td> <td>104                     </td> <td>0.137384                 </td> <td>1.15926                  </td> <td>789      </td> <td>47           </td> <td>0.0595691     </td> <td>1.06334       </td> <td>711         </td> <td>54              </td> <td>0.0759494        </td> <td>1.08219          </td> <td>699 </td> <td>85      </td> <td>0.121602 </td> <td>1.13844  </td> <td>738     </td> <td>55          </td> <td>0.0745257    </td> <td>1.08053      </td> <td>624   </td> <td>70        </td> <td>0.112179   </td> <td>1.12635    </td> <td>450     </td> <td>57          </td> <td>0.126667     </td> <td>1.14504      </td> <td>540          </td> <td>61               </td> <td>0.112963          </td> <td>1.12735           </td> <td>495       </td> <td>92            </td> <td>0.185859       </td> <td>1.22829        </td> <td>389    </td> <td>51         </td> <td>0.131105    </td> <td>1.15089     </td> <td>378        </td> <td>62             </td> <td>0.164021        </td> <td>1.1962          </td> <td>432  </td> <td>56       </td> <td>0.12963   </td> <td>1.14894   </td> <td>296     </td> <td>23          </td> <td>0.0777027    </td> <td>1.08425      </td> <td>317   </td> <td>34        </td> <td>0.107256   </td> <td>1.12014    </td> <td>242          </td> <td>25               </td> <td>0.103306          </td> <td>1.11521           </td> <td>262    </td> <td>21         </td> <td>0.0801527   </td> <td>1.08714     </td> <td>154 </td> <td>2       </td> <td>0.012987 </td> <td>1.01316  </td> <td>187         </td> <td>22              </td> <td>0.117647         </td> <td>1.13333          </td> <td>173         </td> <td>14              </td> <td>0.0809249        </td> <td>1.08805          </td> <td>166    </td> <td>13         </td> <td>0.0783133   </td> <td>1.08497     </td> <td>156   </td> <td>10        </td> <td>0.0641026  </td> <td>1.06849    </td> <td>38            </td> <td>1                 </td> <td>0.0263158          </td> <td>1.02703            </td> <td>8                       </td> <td>0                           </td> <td>0                            </td> <td>1                            </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-04</td> <td>114996  </td> <td>12126       </td> <td>0.105447     </td> <td>1.11788      </td> <td>34124     </td> <td>4229          </td> <td>0.12393        </td> <td>1.14146        </td> <td>14225   </td> <td>1555        </td> <td>0.109315     </td> <td>1.12273      </td> <td>13796     </td> <td>1227          </td> <td>0.0889388      </td> <td>1.09762        </td> <td>12496    </td> <td>2199         </td> <td>0.175976      </td> <td>1.21356       </td> <td>11736        </td> <td>1334             </td> <td>0.113667          </td> <td>1.12824           </td> <td>11537  </td> <td>1277       </td> <td>0.110687    </td> <td>1.12446     </td> <td>10109       </td> <td>1689            </td> <td>0.167079         </td> <td>1.20059          </td> <td>10357   </td> <td>1453        </td> <td>0.140292     </td> <td>1.16319      </td> <td>7498      </td> <td>532           </td> <td>0.0709523      </td> <td>1.07637        </td> <td>6566 </td> <td>897      </td> <td>0.136613  </td> <td>1.15823   </td> <td>6383   </td> <td>416        </td> <td>0.0651731   </td> <td>1.06972     </td> <td>5276       </td> <td>361            </td> <td>0.068423        </td> <td>1.07345         </td> <td>4574    </td> <td>392         </td> <td>0.0857018    </td> <td>1.09374      </td> <td>3953   </td> <td>516        </td> <td>0.130534    </td> <td>1.15013     </td> <td>3739</td> <td>427     </td> <td>0.114202 </td> <td>1.12893  </td> <td>3125    </td> <td>367         </td> <td>0.11744      </td> <td>1.13307      </td> <td>3265     </td> <td>233          </td> <td>0.0713629     </td> <td>1.07685       </td> <td>2407    </td> <td>395         </td> <td>0.164105     </td> <td>1.19632      </td> <td>2402          </td> <td>309               </td> <td>0.128643           </td> <td>1.14763            </td> <td>2291    </td> <td>178         </td> <td>0.0776953    </td> <td>1.08424      </td> <td>2019   </td> <td>250        </td> <td>0.123824    </td> <td>1.14132     </td> <td>2112     </td> <td>196          </td> <td>0.092803      </td> <td>1.1023        </td> <td>1917          </td> <td>217               </td> <td>0.113198           </td> <td>1.12765            </td> <td>1758  </td> <td>209       </td> <td>0.118885   </td> <td>1.13493    </td> <td>1633   </td> <td>98         </td> <td>0.0600122   </td> <td>1.06384     </td> <td>1455       </td> <td>97             </td> <td>0.0666667       </td> <td>1.07143         </td> <td>1428</td> <td>168     </td> <td>0.117647 </td> <td>1.13333  </td> <td>1159    </td> <td>171         </td> <td>0.147541     </td> <td>1.17308      </td> <td>1077 </td> <td>64       </td> <td>0.0594243 </td> <td>1.06318   </td> <td>999   </td> <td>100       </td> <td>0.1001     </td> <td>1.11123    </td> <td>917     </td> <td>147         </td> <td>0.160305     </td> <td>1.19091      </td> <td>902                 </td> <td>145                     </td> <td>0.160754                 </td> <td>1.19155                  </td> <td>865      </td> <td>76           </td> <td>0.0878613     </td> <td>1.09632       </td> <td>806         </td> <td>95              </td> <td>0.117866         </td> <td>1.13361          </td> <td>786 </td> <td>87      </td> <td>0.110687 </td> <td>1.12446  </td> <td>743     </td> <td>5           </td> <td>0.00672948   </td> <td>1.00678      </td> <td>701   </td> <td>77        </td> <td>0.109843   </td> <td>1.1234     </td> <td>593     </td> <td>143         </td> <td>0.241147     </td> <td>1.31778      </td> <td>621          </td> <td>81               </td> <td>0.130435          </td> <td>1.15              </td> <td>543       </td> <td>48            </td> <td>0.0883978      </td> <td>1.09697        </td> <td>461    </td> <td>72         </td> <td>0.156182    </td> <td>1.18509     </td> <td>452        </td> <td>74             </td> <td>0.163717        </td> <td>1.19577         </td> <td>456  </td> <td>24       </td> <td>0.0526316 </td> <td>1.05556   </td> <td>339     </td> <td>43          </td> <td>0.126844     </td> <td>1.14527      </td> <td>349   </td> <td>32        </td> <td>0.0916905  </td> <td>1.10095    </td> <td>282          </td> <td>40               </td> <td>0.141844          </td> <td>1.16529           </td> <td>281    </td> <td>19         </td> <td>0.0676157   </td> <td>1.07252     </td> <td>223 </td> <td>69      </td> <td>0.309417 </td> <td>1.44805  </td> <td>212         </td> <td>25              </td> <td>0.117925         </td> <td>1.13369          </td> <td>186         </td> <td>13              </td> <td>0.0698925        </td> <td>1.07514          </td> <td>187    </td> <td>21         </td> <td>0.112299    </td> <td>1.12651     </td> <td>169   </td> <td>13        </td> <td>0.0769231  </td> <td>1.08333    </td> <td>42            </td> <td>4                 </td> <td>0.0952381          </td> <td>1.10526            </td> <td>8                       </td> <td>0                           </td> <td>0                            </td> <td>1                            </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-05</td> <td>122911  </td> <td>7915        </td> <td>0.0643962    </td> <td>1.06883      </td> <td>37505     </td> <td>3381          </td> <td>0.090148       </td> <td>1.09908        </td> <td>15635   </td> <td>1410        </td> <td>0.0901823    </td> <td>1.09912      </td> <td>15076     </td> <td>1280          </td> <td>0.0849032      </td> <td>1.09278        </td> <td>13010    </td> <td>514          </td> <td>0.0395081     </td> <td>1.04113       </td> <td>12500        </td> <td>764              </td> <td>0.06112           </td> <td>1.0651            </td> <td>12342  </td> <td>805        </td> <td>0.0652244   </td> <td>1.06978     </td> <td>11589       </td> <td>1480            </td> <td>0.127707         </td> <td>1.1464           </td> <td>11276   </td> <td>919         </td> <td>0.0815005    </td> <td>1.08873      </td> <td>7984      </td> <td>486           </td> <td>0.0608717      </td> <td>1.06482        </td> <td>7094 </td> <td>528      </td> <td>0.0744291 </td> <td>1.08041   </td> <td>6742   </td> <td>359        </td> <td>0.0532483   </td> <td>1.05624     </td> <td>5675       </td> <td>399            </td> <td>0.0703084       </td> <td>1.07563         </td> <td>4950    </td> <td>376         </td> <td>0.0759596    </td> <td>1.0822       </td> <td>4411   </td> <td>458        </td> <td>0.103831    </td> <td>1.11586     </td> <td>4043</td> <td>304     </td> <td>0.0751917</td> <td>1.08131  </td> <td>3609    </td> <td>484         </td> <td>0.134109     </td> <td>1.15488      </td> <td>3538     </td> <td>273          </td> <td>0.0771622     </td> <td>1.08361       </td> <td>2637    </td> <td>230         </td> <td>0.0872203    </td> <td>1.09555      </td> <td>2585          </td> <td>183               </td> <td>0.070793           </td> <td>1.07619            </td> <td>2367    </td> <td>76          </td> <td>0.0321082    </td> <td>1.03317      </td> <td>2269   </td> <td>250        </td> <td>0.110181    </td> <td>1.12382     </td> <td>2267     </td> <td>155          </td> <td>0.0683723     </td> <td>1.07339       </td> <td>2049          </td> <td>132               </td> <td>0.0644217          </td> <td>1.06886            </td> <td>1880  </td> <td>122       </td> <td>0.0648936  </td> <td>1.0694     </td> <td>1841   </td> <td>208        </td> <td>0.112982    </td> <td>1.12737     </td> <td>1638       </td> <td>183            </td> <td>0.111722        </td> <td>1.12577         </td> <td>1605</td> <td>177     </td> <td>0.11028  </td> <td>1.12395  </td> <td>1252    </td> <td>93          </td> <td>0.0742812    </td> <td>1.08024      </td> <td>1101 </td> <td>24       </td> <td>0.0217984 </td> <td>1.02228   </td> <td>1068  </td> <td>69        </td> <td>0.0646067  </td> <td>1.06907    </td> <td>1048    </td> <td>131         </td> <td>0.125        </td> <td>1.14286      </td> <td>998                 </td> <td>96                      </td> <td>0.0961924                </td> <td>1.10643                  </td> <td>935      </td> <td>70           </td> <td>0.0748663     </td> <td>1.08092       </td> <td>922         </td> <td>116             </td> <td>0.125813         </td> <td>1.14392          </td> <td>868 </td> <td>82      </td> <td>0.09447  </td> <td>1.10433  </td> <td>853     </td> <td>110         </td> <td>0.128957     </td> <td>1.14805      </td> <td>763   </td> <td>62        </td> <td>0.0812582  </td> <td>1.08845    </td> <td>673     </td> <td>80          </td> <td>0.118871     </td> <td>1.13491      </td> <td>669          </td> <td>48               </td> <td>0.0717489         </td> <td>1.07729           </td> <td>624       </td> <td>81            </td> <td>0.129808       </td> <td>1.14917        </td> <td>512    </td> <td>51         </td> <td>0.0996094   </td> <td>1.11063     </td> <td>475        </td> <td>23             </td> <td>0.0484211       </td> <td>1.05088         </td> <td>470  </td> <td>14       </td> <td>0.0297872 </td> <td>1.0307    </td> <td>377     </td> <td>38          </td> <td>0.100796     </td> <td>1.11209      </td> <td>369   </td> <td>20        </td> <td>0.0542005  </td> <td>1.05731    </td> <td>324          </td> <td>42               </td> <td>0.12963           </td> <td>1.14894           </td> <td>298    </td> <td>17         </td> <td>0.057047    </td> <td>1.0605      </td> <td>267 </td> <td>44      </td> <td>0.164794 </td> <td>1.19731  </td> <td>240         </td> <td>28              </td> <td>0.116667         </td> <td>1.13208          </td> <td>207         </td> <td>21              </td> <td>0.101449         </td> <td>1.1129           </td> <td>200    </td> <td>13         </td> <td>0.065       </td> <td>1.06952     </td> <td>185   </td> <td>16        </td> <td>0.0864865  </td> <td>1.09467    </td> <td>42            </td> <td>0                 </td> <td>0                  </td> <td>1                  </td> <td>8                       </td> <td>0                           </td> <td>0                            </td> <td>1                            </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "date       | New York | new New York | % newNew York | rate New York | New Jersey | new New Jersey | % newNew Jersey | rate New Jersey | Michigan | new Michigan | % newMichigan | rate Michigan | California | new California | % newCalifornia | rate California | Louisiana | new Louisiana | % newLouisiana | rate Louisiana | Massachusetts | new Massachusetts | % newMassachusetts | rate Massachusetts | Florida | new Florida | % newFlorida | rate Florida | Pennsylvania | new Pennsylvania | % newPennsylvania | rate Pennsylvania | Illinois | new Illinois | % newIllinois | rate Illinois | Washington | new Washington | % newWashington | rate Washington | Texas | new Texas | % newTexas | rate Texas | Georgia | new Georgia | % newGeorgia | rate Georgia | Connecticut | new Connecticut | % newConnecticut | rate Connecticut | Colorado | new Colorado | % newColorado | rate Colorado | Indiana | new Indiana | % newIndiana | rate Indiana | Ohio | new Ohio | % newOhio | rate Ohio | Maryland | new Maryland | % newMaryland | rate Maryland | Tennessee | new Tennessee | % newTennessee | rate Tennessee | Virginia | new Virginia | % newVirginia | rate Virginia | North Carolina | new North Carolina | % newNorth Carolina | rate North Carolina | Missouri | new Missouri | % newMissouri | rate Missouri | Arizona | new Arizona | % newArizona | rate Arizona | Wisconsin | new Wisconsin | % newWisconsin | rate Wisconsin | South Carolina | new South Carolina | % newSouth Carolina | rate South Carolina | Nevada | new Nevada | % newNevada | rate Nevada | Alabama | new Alabama | % newAlabama | rate Alabama | Mississippi | new Mississippi | % newMississippi | rate Mississippi | Utah | new Utah | % newUtah | rate Utah | Oklahoma | new Oklahoma | % newOklahoma | rate Oklahoma | Idaho | new Idaho | % newIdaho | rate Idaho | Oregon | new Oregon | % newOregon | rate Oregon | Kentucky | new Kentucky | % newKentucky | rate Kentucky | District of Columbia | new District of Columbia | % newDistrict of Columbia | rate District of Columbia | Minnesota | new Minnesota | % newMinnesota | rate Minnesota | Rhode Island | new Rhode Island | % newRhode Island | rate Rhode Island | Iowa | new Iowa | % newIowa | rate Iowa | Arkansas | new Arkansas | % newArkansas | rate Arkansas | Kansas | new Kansas | % newKansas | rate Kansas | Delaware | new Delaware | % newDelaware | rate Delaware | New Hampshire | new New Hampshire | % newNew Hampshire | rate New Hampshire | New Mexico | new New Mexico | % newNew Mexico | rate New Mexico | Vermont | new Vermont | % newVermont | rate Vermont | Puerto Rico | new Puerto Rico | % newPuerto Rico | rate Puerto Rico | Maine | new Maine | % newMaine | rate Maine | Nebraska | new Nebraska | % newNebraska | rate Nebraska | Hawaii | new Hawaii | % newHawaii | rate Hawaii | West Virginia | new West Virginia | % newWest Virginia | rate West Virginia | Montana | new Montana | % newMontana | rate Montana | Guam | new Guam | % newGuam | rate Guam | South Dakota | new South Dakota | % newSouth Dakota | rate South Dakota | North Dakota | new North Dakota | % newNorth Dakota | rate North Dakota | Wyoming | new Wyoming | % newWyoming | rate Wyoming | Alaska | new Alaska | % newAlaska | rate Alaska | Virgin Islands | new Virgin Islands | % newVirgin Islands | rate Virgin Islands | Northern Mariana Islands | new Northern Mariana Islands | % newNorthern Mariana Islands | rate Northern Mariana Islands\n",
       "2020-03-29 | 59568    | 6205         | 0.104167      | 1.11628       | 13386      | 2262           | 0.168983        | 1.20334         | 5486     | 851          | 0.155122      | 1.1836        | 6266       | 701            | 0.111874        | 1.12597         | 3540      | 225           | 0.0635593      | 1.06787        | 4955          | 698               | 0.140868           | 1.16397            | 4942    | 904         | 0.182922     | 1.22387      | 3441         | 626              | 0.181924          | 1.22238           | 4613     | 1066         | 0.231086      | 1.30054       | 4896       | 585            | 0.119485        | 1.1357          | 2712  | 551       | 0.203171   | 1.25497    | 2683    | 236         | 0.0879612    | 1.09644      | 1993        | 469             | 0.235324         | 1.30774          | 2315     | 254          | 0.109719      | 1.12324       | 1514    | 282         | 0.186262     | 1.2289       | 1665 | 259      | 0.155556  | 1.18421   | 1244     | 178          | 0.143087      | 1.16698       | 1570      | 206           | 0.13121        | 1.15103        | 890      | 150          | 0.168539      | 1.2027        | 1167           | 195                | 0.167095            | 1.20062             | 903      | 65           | 0.0719823     | 1.07757       | 929     | 156         | 0.167922     | 1.20181      | 1120      | 78            | 0.0696429      | 1.07486        | 774            | 114                | 0.147287            | 1.17273             | 920    | 182        | 0.197826    | 1.24661     | 830     | 110         | 0.13253      | 1.15278      | 759         | 90              | 0.118577         | 1.13453          | 719  | 111      | 0.154381  | 1.18257   | 429      | 52           | 0.121212      | 1.13793       | 310   | 49        | 0.158065   | 1.18774    | 548    | 69         | 0.125912    | 1.14405     | 439      | 45           | 0.102506      | 1.11421       | 342                  | 0                        | 0                         | 1                         | 504       | 63            | 0.125          | 1.14286        | 294          | 55               | 0.187075          | 1.23013           | 336  | 38       | 0.113095  | 1.12752   | 449      | 40           | 0.0890869     | 1.0978        | 332    | 61         | 0.183735    | 1.22509     | 232      | 18           | 0.0775862     | 1.08411       | 258           | 44                | 0.170543           | 1.20561            | 237        | 29             | 0.122363        | 1.13942         | 235     | 24          | 0.102128     | 1.11374      | 127         | 27              | 0.212598         | 1.27             | 253   | 42        | 0.166008   | 1.19905    | 137      | 15           | 0.109489      | 1.12295       | 175    | 24         | 0.137143    | 1.15894     | 124           | 11                | 0.0887097          | 1.09735            | 161     | 14          | 0.0869565    | 1.09524      | 58   | 1        | 0.0172414 | 1.01754   | 90           | 22               | 0.244444          | 1.32353           | 98           | 4                | 0.0408163         | 1.04255           | 87      | 3           | 0.0344828    | 1.03571      | 114    | 12         | 0.105263    | 1.11765     | 23             | 4                  | 0.173913            | 1.21053             | 2                        | 0                            | 0                             | 1\n",
       "2020-03-30 | 67174    | 7606         | 0.113228      | 1.12769       | 16636      | 3250           | 0.195359        | 1.24279         | 6508     | 1022         | 0.157037      | 1.18629       | 7421       | 1155           | 0.155639        | 1.18433         | 4025      | 485           | 0.120497       | 1.13701        | 5752          | 797               | 0.138561           | 1.16085            | 5694    | 752         | 0.132069     | 1.15217      | 4156         | 715              | 0.17204           | 1.20779           | 5070     | 457          | 0.0901381     | 1.09907       | 5179       | 283            | 0.0546438       | 1.0578          | 3043  | 331       | 0.108774   | 1.12205    | 3032    | 349         | 0.115106     | 1.13008      | 2571        | 578             | 0.224815         | 1.29002          | 2628     | 313          | 0.119102      | 1.13521       | 1788    | 274         | 0.153244     | 1.18098      | 1933 | 268      | 0.138645  | 1.16096   | 1414     | 170          | 0.120226      | 1.13666       | 1721      | 151           | 0.0877397      | 1.09618        | 1021     | 131          | 0.128306      | 1.14719       | 1304           | 137                | 0.105061            | 1.1174              | 1050     | 147          | 0.14          | 1.16279       | 1169    | 240         | 0.205304     | 1.25834      | 1267      | 147           | 0.116022       | 1.13125        | 925            | 151                | 0.163243            | 1.19509             | 1044   | 124        | 0.118774    | 1.13478     | 947     | 117         | 0.123548     | 1.14096      | 848         | 89              | 0.104953         | 1.11726          | 806  | 87       | 0.10794   | 1.121     | 481      | 52           | 0.108108      | 1.12121       | 415   | 105       | 0.253012   | 1.33871    | 606    | 58         | 0.0957096   | 1.10584     | 480      | 41           | 0.0854167     | 1.09339       | 495                  | 153                      | 0.309091                  | 1.44737                   | 576       | 72            | 0.125          | 1.14286        | 408          | 114              | 0.279412          | 1.38776           | 424  | 88       | 0.207547  | 1.2619    | 508      | 59           | 0.116142      | 1.1314        | 373    | 41         | 0.10992     | 1.12349     | 264      | 32           | 0.121212      | 1.13793       | 314           | 56                | 0.178344           | 1.21705            | 281        | 44             | 0.156584        | 1.18565         | 256     | 21          | 0.0820312    | 1.08936      | 174         | 47              | 0.270115         | 1.37008          | 275   | 22        | 0.08       | 1.08696    | 185      | 48           | 0.259459      | 1.35036       | 204    | 29         | 0.142157    | 1.16571     | 145           | 21                | 0.144828           | 1.16935            | 177     | 16          | 0.0903955    | 1.09938      | 60   | 2        | 0.0333333 | 1.03448   | 101          | 11               | 0.108911          | 1.12222           | 109          | 11               | 0.100917          | 1.11224           | 95      | 8           | 0.0842105    | 1.09195      | 119    | 5          | 0.0420168   | 1.04386     | 30             | 7                  | 0.233333            | 1.30435             | 2                        | 0                            | 0                             | 1\n",
       "2020-03-31 | 75832    | 8658         | 0.114173      | 1.12889       | 18696      | 2060           | 0.110184        | 1.12383         | 7630     | 1122         | 0.147051      | 1.1724        | 8582       | 1161           | 0.135283        | 1.15645         | 5237      | 1212          | 0.23143        | 1.30112        | 6620          | 868               | 0.131118           | 1.1509             | 6741    | 1047        | 0.155318     | 1.18388      | 4997         | 841              | 0.168301          | 1.20236           | 5994     | 924          | 0.154154      | 1.18225       | 5292       | 113            | 0.021353        | 1.02182         | 3576  | 533       | 0.149049   | 1.17516    | 4117    | 1085        | 0.263541     | 1.35785      | 3128        | 557             | 0.178069         | 1.21665          | 2990     | 362          | 0.12107       | 1.13775       | 2159    | 371         | 0.171839     | 1.20749      | 2199 | 266      | 0.120964  | 1.13761   | 1662     | 248          | 0.149218      | 1.17539       | 2049      | 328           | 0.160078       | 1.19059        | 1250     | 229          | 0.1832        | 1.22429       | 1528           | 224                | 0.146597            | 1.17178             | 1351     | 301          | 0.222798      | 1.28667       | 1298    | 129         | 0.0993837    | 1.11035      | 1351      | 84            | 0.0621762      | 1.0663         | 1083           | 158                | 0.145891            | 1.17081             | 1113   | 69         | 0.0619946   | 1.06609     | 999     | 52          | 0.0520521    | 1.05491      | 937         | 89              | 0.094984         | 1.10495          | 887  | 81       | 0.0913191 | 1.1005    | 566      | 85           | 0.150177      | 1.17672       | 526   | 111       | 0.211027   | 1.26747    | 690    | 84         | 0.121739    | 1.13861     | 590      | 110          | 0.186441      | 1.22917       | 495                  | 0                        | 0                         | 1                         | 629       | 53            | 0.0842607      | 1.09201        | 488          | 80               | 0.163934          | 1.19608           | 498  | 74       | 0.148594  | 1.17453   | 564      | 56           | 0.0992908     | 1.11024       | 434    | 61         | 0.140553    | 1.16354     | 319      | 55           | 0.172414      | 1.20833       | 367           | 53                | 0.144414           | 1.16879            | 315        | 34             | 0.107937        | 1.121           | 293     | 37          | 0.12628      | 1.14453      | 239         | 65              | 0.271967         | 1.37356          | 303   | 28        | 0.0924092  | 1.10182    | 193      | 8            | 0.0414508     | 1.04324       | 224    | 20         | 0.0892857   | 1.09804     | 162           | 17                | 0.104938           | 1.11724            | 198     | 21          | 0.106061     | 1.11864      | 139  | 79       | 0.568345  | 2.31667   | 108          | 7                | 0.0648148         | 1.06931           | 126          | 17               | 0.134921          | 1.15596           | 120     | 25          | 0.208333     | 1.26316      | 133    | 14         | 0.105263    | 1.11765     | 30             | 0                  | 0                   | 1                   | 2                        | 0                            | 0                             | 1\n",
       "2020-04-01 | 83889    | 8057         | 0.0960436     | 1.10625       | 22255      | 3559           | 0.159919        | 1.19036         | 9293     | 1663         | 0.178952      | 1.21796       | 9816       | 1234           | 0.125713        | 1.14379         | 6424      | 1187          | 0.184776       | 1.22666        | 7738          | 1118              | 0.144482           | 1.16888            | 7765    | 1024        | 0.131874     | 1.15191      | 5805         | 808              | 0.13919           | 1.1617            | 6980     | 986          | 0.141261      | 1.1645        | 5588       | 296            | 0.0529707       | 1.05593         | 4261  | 685       | 0.16076    | 1.19155    | 4748    | 631         | 0.132898     | 1.15327      | 3557        | 429             | 0.120607         | 1.13715          | 3346     | 356          | 0.106396      | 1.11906       | 2565    | 406         | 0.158285     | 1.18805      | 2547 | 348      | 0.136631  | 1.15825   | 1985     | 323          | 0.16272       | 1.19434       | 2690      | 641           | 0.23829        | 1.31284        | 1511     | 261          | 0.172733      | 1.2088        | 1582           | 54                 | 0.034134            | 1.03534             | 1581     | 230          | 0.145478      | 1.17024       | 1413    | 115         | 0.0813871    | 1.0886       | 1550      | 199           | 0.128387       | 1.1473         | 1293           | 210                | 0.162413            | 1.19391             | 1279   | 166        | 0.129789    | 1.14915     | 1106    | 107         | 0.096745     | 1.10711      | 1073        | 136             | 0.126747         | 1.14514          | 1012 | 125      | 0.123518  | 1.14092   | 719      | 153          | 0.212796      | 1.27032       | 669   | 143       | 0.213752   | 1.27186    | 736    | 46         | 0.0625      | 1.06667     | 682      | 92           | 0.134897      | 1.15593       | 586                  | 91                       | 0.15529                   | 1.18384                   | 689       | 60            | 0.0870827      | 1.09539        | 566          | 78               | 0.137809          | 1.15984           | 549  | 51       | 0.0928962 | 1.10241   | 624      | 60           | 0.0961538     | 1.10638       | 488    | 54         | 0.110656    | 1.12442     | 368      | 49           | 0.133152      | 1.15361       | 415           | 48                | 0.115663           | 1.13079            | 363        | 48             | 0.132231        | 1.15238         | 321     | 28          | 0.0872274    | 1.09556      | 286         | 47              | 0.164336         | 1.19665          | 344   | 41        | 0.119186   | 1.13531    | 249      | 56           | 0.2249        | 1.29016       | 258    | 34         | 0.131783    | 1.15179     | 191           | 29                | 0.151832           | 1.17901            | 217     | 19          | 0.0875576    | 1.09596      | 147  | 8        | 0.0544218 | 1.05755   | 129          | 21               | 0.162791          | 1.19444           | 147          | 21               | 0.142857          | 1.16667           | 137     | 17          | 0.124088     | 1.14167      | 143    | 10         | 0.0699301   | 1.07519     | 30             | 0                  | 0                   | 1                   | 6                        | 4                            | 0.666667                      | 3\n",
       "2020-04-02 | 92770    | 8881         | 0.0957314     | 1.10587       | 25590      | 3335           | 0.130324        | 1.14985         | 10791    | 1498         | 0.138819      | 1.1612        | 10995      | 1179           | 0.107231        | 1.12011         | 9150      | 2726          | 0.297923       | 1.42435        | 8966          | 1228              | 0.136962           | 1.1587             | 9000    | 1235        | 0.137222     | 1.15905      | 7016         | 1211             | 0.172605          | 1.20861           | 7695     | 715          | 0.0929175     | 1.10244       | 6585       | 997            | 0.151405        | 1.17842         | 4880  | 619       | 0.126844   | 1.14527    | 5444    | 696         | 0.127847     | 1.14659      | 3824        | 267             | 0.0698222        | 1.07506          | 3728     | 382          | 0.102468      | 1.11417       | 3039    | 474         | 0.155972     | 1.1848       | 2902 | 355      | 0.122329  | 1.13938   | 2331     | 346          | 0.148434      | 1.17431       | 2869      | 179           | 0.0623911      | 1.06654        | 1706     | 195          | 0.114302      | 1.12905       | 1857           | 275                | 0.148088            | 1.17383             | 1834     | 253          | 0.13795       | 1.16003       | 1600    | 187         | 0.116875     | 1.13234      | 1730      | 180           | 0.104046       | 1.11613        | 1554           | 261                | 0.167954            | 1.20186             | 1458   | 179        | 0.122771    | 1.13995     | 1270    | 164         | 0.129134     | 1.14828      | 1177        | 104             | 0.0883602        | 1.09692          | 1074 | 62       | 0.0577281 | 1.06126   | 879      | 160          | 0.182025      | 1.22253       | 891   | 222       | 0.249158   | 1.33184    | 826    | 90         | 0.108959    | 1.12228     | 755      | 73           | 0.0966887     | 1.10704       | 653                  | 67                       | 0.102603                  | 1.11433                   | 742       | 53            | 0.0714286      | 1.07692        | 657          | 91               | 0.138508          | 1.16078           | 614  | 65       | 0.105863  | 1.1184    | 683      | 59           | 0.0863836     | 1.09455       | 554    | 66         | 0.119134    | 1.13525     | 393      | 25           | 0.0636132     | 1.06793       | 479           | 64                | 0.133612           | 1.15422            | 403        | 40             | 0.0992556       | 1.11019         | 338     | 17          | 0.0502959    | 1.05296      | 316         | 30              | 0.0949367        | 1.1049           | 376   | 32        | 0.0851064  | 1.09302    | 273      | 24           | 0.0879121     | 1.09639       | 283    | 25         | 0.0883392   | 1.0969      | 217           | 26                | 0.119816           | 1.13613            | 241     | 24          | 0.0995851    | 1.1106       | 152  | 5        | 0.0328947 | 1.03401   | 165          | 36               | 0.218182          | 1.27907           | 159          | 12               | 0.0754717         | 1.08163           | 153     | 16          | 0.104575     | 1.11679      | 146    | 3          | 0.0205479   | 1.02098     | 37             | 7                  | 0.189189            | 1.23333             | 8                        | 2                            | 0.25                          | 1.33333\n",
       "2020-04-03 | 102870   | 10100        | 0.0981822     | 1.10887       | 29895      | 4305           | 0.144004        | 1.16823         | 12670    | 1879         | 0.148303      | 1.17413       | 12569      | 1574           | 0.125229        | 1.14316         | 10297     | 1147          | 0.111392       | 1.12536        | 10402         | 1436              | 0.13805            | 1.16016            | 10260   | 1260        | 0.122807     | 1.14         | 8420         | 1404             | 0.166746          | 1.20011           | 8904     | 1209         | 0.135782      | 1.15712       | 6966       | 381            | 0.0546942       | 1.05786         | 5669  | 789       | 0.139178   | 1.16168    | 5967    | 523         | 0.0876487    | 1.09607      | 4915        | 1091            | 0.221974         | 1.2853           | 4182     | 454          | 0.10856       | 1.12178       | 3437    | 398         | 0.115799     | 1.13096      | 3312 | 410      | 0.123792  | 1.14128   | 2758     | 427          | 0.154822      | 1.18318       | 3032      | 163           | 0.0537599      | 1.05681        | 2012     | 306          | 0.152087      | 1.17937       | 2093           | 236                | 0.112757            | 1.12709             | 2113     | 279          | 0.13204       | 1.15213       | 1769    | 169         | 0.0955342    | 1.10563      | 1916      | 186           | 0.0970772      | 1.10751        | 1700           | 146                | 0.0858824           | 1.09395             | 1549   | 91         | 0.0587476   | 1.06241     | 1535    | 265         | 0.172638     | 1.20866      | 1358        | 181             | 0.133284         | 1.15378          | 1260 | 186      | 0.147619  | 1.17318   | 988      | 109          | 0.110324      | 1.124         | 1013  | 122       | 0.120434   | 1.13692    | 899    | 73         | 0.0812013   | 1.08838     | 770      | 15           | 0.0194805     | 1.01987       | 757                  | 104                      | 0.137384                  | 1.15926                   | 789       | 47            | 0.0595691      | 1.06334        | 711          | 54               | 0.0759494         | 1.08219           | 699  | 85       | 0.121602  | 1.13844   | 738      | 55           | 0.0745257     | 1.08053       | 624    | 70         | 0.112179    | 1.12635     | 450      | 57           | 0.126667      | 1.14504       | 540           | 61                | 0.112963           | 1.12735            | 495        | 92             | 0.185859        | 1.22829         | 389     | 51          | 0.131105     | 1.15089      | 378         | 62              | 0.164021         | 1.1962           | 432   | 56        | 0.12963    | 1.14894    | 296      | 23           | 0.0777027     | 1.08425       | 317    | 34         | 0.107256    | 1.12014     | 242           | 25                | 0.103306           | 1.11521            | 262     | 21          | 0.0801527    | 1.08714      | 154  | 2        | 0.012987  | 1.01316   | 187          | 22               | 0.117647          | 1.13333           | 173          | 14               | 0.0809249         | 1.08805           | 166     | 13          | 0.0783133    | 1.08497      | 156    | 10         | 0.0641026   | 1.06849     | 38             | 1                  | 0.0263158           | 1.02703             | 8                        | 0                            | 0                             | 1\n",
       "2020-04-04 | 114996   | 12126        | 0.105447      | 1.11788       | 34124      | 4229           | 0.12393         | 1.14146         | 14225    | 1555         | 0.109315      | 1.12273       | 13796      | 1227           | 0.0889388       | 1.09762         | 12496     | 2199          | 0.175976       | 1.21356        | 11736         | 1334              | 0.113667           | 1.12824            | 11537   | 1277        | 0.110687     | 1.12446      | 10109        | 1689             | 0.167079          | 1.20059           | 10357    | 1453         | 0.140292      | 1.16319       | 7498       | 532            | 0.0709523       | 1.07637         | 6566  | 897       | 0.136613   | 1.15823    | 6383    | 416         | 0.0651731    | 1.06972      | 5276        | 361             | 0.068423         | 1.07345          | 4574     | 392          | 0.0857018     | 1.09374       | 3953    | 516         | 0.130534     | 1.15013      | 3739 | 427      | 0.114202  | 1.12893   | 3125     | 367          | 0.11744       | 1.13307       | 3265      | 233           | 0.0713629      | 1.07685        | 2407     | 395          | 0.164105      | 1.19632       | 2402           | 309                | 0.128643            | 1.14763             | 2291     | 178          | 0.0776953     | 1.08424       | 2019    | 250         | 0.123824     | 1.14132      | 2112      | 196           | 0.092803       | 1.1023         | 1917           | 217                | 0.113198            | 1.12765             | 1758   | 209        | 0.118885    | 1.13493     | 1633    | 98          | 0.0600122    | 1.06384      | 1455        | 97              | 0.0666667        | 1.07143          | 1428 | 168      | 0.117647  | 1.13333   | 1159     | 171          | 0.147541      | 1.17308       | 1077  | 64        | 0.0594243  | 1.06318    | 999    | 100        | 0.1001      | 1.11123     | 917      | 147          | 0.160305      | 1.19091       | 902                  | 145                      | 0.160754                  | 1.19155                   | 865       | 76            | 0.0878613      | 1.09632        | 806          | 95               | 0.117866          | 1.13361           | 786  | 87       | 0.110687  | 1.12446   | 743      | 5            | 0.00672948    | 1.00678       | 701    | 77         | 0.109843    | 1.1234      | 593      | 143          | 0.241147      | 1.31778       | 621           | 81                | 0.130435           | 1.15               | 543        | 48             | 0.0883978       | 1.09697         | 461     | 72          | 0.156182     | 1.18509      | 452         | 74              | 0.163717         | 1.19577          | 456   | 24        | 0.0526316  | 1.05556    | 339      | 43           | 0.126844      | 1.14527       | 349    | 32         | 0.0916905   | 1.10095     | 282           | 40                | 0.141844           | 1.16529            | 281     | 19          | 0.0676157    | 1.07252      | 223  | 69       | 0.309417  | 1.44805   | 212          | 25               | 0.117925          | 1.13369           | 186          | 13               | 0.0698925         | 1.07514           | 187     | 21          | 0.112299     | 1.12651      | 169    | 13         | 0.0769231   | 1.08333     | 42             | 4                  | 0.0952381           | 1.10526             | 8                        | 0                            | 0                             | 1\n",
       "2020-04-05 | 122911   | 7915         | 0.0643962     | 1.06883       | 37505      | 3381           | 0.090148        | 1.09908         | 15635    | 1410         | 0.0901823     | 1.09912       | 15076      | 1280           | 0.0849032       | 1.09278         | 13010     | 514           | 0.0395081      | 1.04113        | 12500         | 764               | 0.06112            | 1.0651             | 12342   | 805         | 0.0652244    | 1.06978      | 11589        | 1480             | 0.127707          | 1.1464            | 11276    | 919          | 0.0815005     | 1.08873       | 7984       | 486            | 0.0608717       | 1.06482         | 7094  | 528       | 0.0744291  | 1.08041    | 6742    | 359         | 0.0532483    | 1.05624      | 5675        | 399             | 0.0703084        | 1.07563          | 4950     | 376          | 0.0759596     | 1.0822        | 4411    | 458         | 0.103831     | 1.11586      | 4043 | 304      | 0.0751917 | 1.08131   | 3609     | 484          | 0.134109      | 1.15488       | 3538      | 273           | 0.0771622      | 1.08361        | 2637     | 230          | 0.0872203     | 1.09555       | 2585           | 183                | 0.070793            | 1.07619             | 2367     | 76           | 0.0321082     | 1.03317       | 2269    | 250         | 0.110181     | 1.12382      | 2267      | 155           | 0.0683723      | 1.07339        | 2049           | 132                | 0.0644217           | 1.06886             | 1880   | 122        | 0.0648936   | 1.0694      | 1841    | 208         | 0.112982     | 1.12737      | 1638        | 183             | 0.111722         | 1.12577          | 1605 | 177      | 0.11028   | 1.12395   | 1252     | 93           | 0.0742812     | 1.08024       | 1101  | 24        | 0.0217984  | 1.02228    | 1068   | 69         | 0.0646067   | 1.06907     | 1048     | 131          | 0.125         | 1.14286       | 998                  | 96                       | 0.0961924                 | 1.10643                   | 935       | 70            | 0.0748663      | 1.08092        | 922          | 116              | 0.125813          | 1.14392           | 868  | 82       | 0.09447   | 1.10433   | 853      | 110          | 0.128957      | 1.14805       | 763    | 62         | 0.0812582   | 1.08845     | 673      | 80           | 0.118871      | 1.13491       | 669           | 48                | 0.0717489          | 1.07729            | 624        | 81             | 0.129808        | 1.14917         | 512     | 51          | 0.0996094    | 1.11063      | 475         | 23              | 0.0484211        | 1.05088          | 470   | 14        | 0.0297872  | 1.0307     | 377      | 38           | 0.100796      | 1.11209       | 369    | 20         | 0.0542005   | 1.05731     | 324           | 42                | 0.12963            | 1.14894            | 298     | 17          | 0.057047     | 1.0605       | 267  | 44       | 0.164794  | 1.19731   | 240          | 28               | 0.116667          | 1.13208           | 207          | 21               | 0.101449          | 1.1129            | 200     | 13          | 0.065        | 1.06952      | 185    | 16         | 0.0864865   | 1.09467     | 42             | 0                  | 0                   | 1                   | 8                        | 0                            | 0                             | 1"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prior_to(cases.order_cols().trend(), 7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def rate_change(ts, region_type, prev=7):\n",
    "    rates = get_rates(ts)\n",
    "    regions = ts.categories\n",
    "    current = rates.row(-1)[1:]\n",
    "    older = rates.row(-1-prev)[1:]\n",
    "    return Table().with_columns(region_type, regions,\n",
    "                                'rate', current, \n",
    "                                make_pname('rate', prev), older)\n",
    "\n",
    "def show_rate_change(ts, region_type, prev=7):\n",
    "    rc = rate_change(ts, region_type, prev)\n",
    "    rc.drop(0).scatter('rate')\n",
    "    plots.plot([ min(rc['rate']), max(rc['rate']) ], [ min(rc['rate']), max(rc['rate']) ])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The interactive chart below shows for each state the current growth rate (horizontal) versus the growth rate some days previous.  The distance able the line shows how much the growth rate has improved, below the line the growth rate is getting worse.  Gives a sense of how the measures are working."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "f0cf9f778f0f49468f9ca35d4fb63a62",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(IntSlider(value=7, description='previous', max=28, min=1), Output()), _dom_classes=('wid…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def irate(previous=7):\n",
    "    show_rate_change(cases, 'State', previous)\n",
    "\n",
    "_ = interact(irate, previous = (1,28,1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id=sectionDeaths></a>\n",
    "## Deaths to date by state"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 504x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "deaths.top(10).take[-14:].plot('date', width=7)\n",
    "_ = plots.xticks(rotation=45)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>date</th> <th>New York</th> <th>new New York</th> <th>% newNew York</th> <th>rate New York</th> <th>New Jersey</th> <th>new New Jersey</th> <th>% newNew Jersey</th> <th>rate New Jersey</th> <th>Michigan</th> <th>new Michigan</th> <th>% newMichigan</th> <th>rate Michigan</th> <th>Louisiana</th> <th>new Louisiana</th> <th>% newLouisiana</th> <th>rate Louisiana</th> <th>California</th> <th>new California</th> <th>% newCalifornia</th> <th>rate California</th> <th>Washington</th> <th>new Washington</th> <th>% newWashington</th> <th>rate Washington</th> <th>Illinois</th> <th>new Illinois</th> <th>% newIllinois</th> <th>rate Illinois</th> <th>Massachusetts</th> <th>new Massachusetts</th> <th>% newMassachusetts</th> <th>rate Massachusetts</th> <th>Florida</th> <th>new Florida</th> <th>% newFlorida</th> <th>rate Florida</th> <th>Georgia</th> <th>new Georgia</th> <th>% newGeorgia</th> <th>rate Georgia</th> <th>Connecticut</th> <th>new Connecticut</th> <th>% newConnecticut</th> <th>rate Connecticut</th> <th>Pennsylvania</th> <th>new Pennsylvania</th> <th>% newPennsylvania</th> <th>rate Pennsylvania</th> <th>Colorado</th> <th>new Colorado</th> <th>% newColorado</th> <th>rate Colorado</th> <th>Texas</th> <th>new Texas</th> <th>% newTexas</th> <th>rate Texas</th> <th>Indiana</th> <th>new Indiana</th> <th>% newIndiana</th> <th>rate Indiana</th> <th>Ohio</th> <th>new Ohio</th> <th>% newOhio</th> <th>rate Ohio</th> <th>Wisconsin</th> <th>new Wisconsin</th> <th>% newWisconsin</th> <th>rate Wisconsin</th> <th>Maryland</th> <th>new Maryland</th> <th>% newMaryland</th> <th>rate Maryland</th> <th>Arizona</th> <th>new Arizona</th> <th>% newArizona</th> <th>rate Arizona</th> <th>Missouri</th> <th>new Missouri</th> <th>% newMissouri</th> <th>rate Missouri</th> <th>Virginia</th> <th>new Virginia</th> <th>% newVirginia</th> <th>rate Virginia</th> <th>Tennessee</th> <th>new Tennessee</th> <th>% newTennessee</th> <th>rate Tennessee</th> <th>Nevada</th> <th>new Nevada</th> <th>% newNevada</th> <th>rate Nevada</th> <th>Oklahoma</th> <th>new Oklahoma</th> <th>% newOklahoma</th> <th>rate Oklahoma</th> <th>Alabama</th> <th>new Alabama</th> <th>% newAlabama</th> <th>rate Alabama</th> <th>Kentucky</th> <th>new Kentucky</th> <th>% newKentucky</th> <th>rate Kentucky</th> <th>South Carolina</th> <th>new South Carolina</th> <th>% newSouth Carolina</th> <th>rate South Carolina</th> <th>Mississippi</th> <th>new Mississippi</th> <th>% newMississippi</th> <th>rate Mississippi</th> <th>North Carolina</th> <th>new North Carolina</th> <th>% newNorth Carolina</th> <th>rate North Carolina</th> <th>Minnesota</th> <th>new Minnesota</th> <th>% newMinnesota</th> <th>rate Minnesota</th> <th>Oregon</th> <th>new Oregon</th> <th>% newOregon</th> <th>rate Oregon</th> <th>Rhode Island</th> <th>new Rhode Island</th> <th>% newRhode Island</th> <th>rate Rhode Island</th> <th>Kansas</th> <th>new Kansas</th> <th>% newKansas</th> <th>rate Kansas</th> <th>District of Columbia</th> <th>new District of Columbia</th> <th>% newDistrict of Columbia</th> <th>rate District of Columbia</th> <th>Iowa</th> <th>new Iowa</th> <th>% newIowa</th> <th>rate Iowa</th> <th>Vermont</th> <th>new Vermont</th> <th>% newVermont</th> <th>rate Vermont</th> <th>Puerto Rico</th> <th>new Puerto Rico</th> <th>% newPuerto Rico</th> <th>rate Puerto Rico</th> <th>Arkansas</th> <th>new Arkansas</th> <th>% newArkansas</th> <th>rate Arkansas</th> <th>Delaware</th> <th>new Delaware</th> <th>% newDelaware</th> <th>rate Delaware</th> <th>New Mexico</th> <th>new New Mexico</th> <th>% newNew Mexico</th> <th>rate New Mexico</th> <th>Idaho</th> <th>new Idaho</th> <th>% newIdaho</th> <th>rate Idaho</th> <th>Maine</th> <th>new Maine</th> <th>% newMaine</th> <th>rate Maine</th> <th>New Hampshire</th> <th>new New Hampshire</th> <th>% newNew Hampshire</th> <th>rate New Hampshire</th> <th>Nebraska</th> <th>new Nebraska</th> <th>% newNebraska</th> <th>rate Nebraska</th> <th>Utah</th> <th>new Utah</th> <th>% newUtah</th> <th>rate Utah</th> <th>Montana</th> <th>new Montana</th> <th>% newMontana</th> <th>rate Montana</th> <th>Alaska</th> <th>new Alaska</th> <th>% newAlaska</th> <th>rate Alaska</th> <th>Guam</th> <th>new Guam</th> <th>% newGuam</th> <th>rate Guam</th> <th>Hawaii</th> <th>new Hawaii</th> <th>% newHawaii</th> <th>rate Hawaii</th> <th>North Dakota</th> <th>new North Dakota</th> <th>% newNorth Dakota</th> <th>rate North Dakota</th> <th>West Virginia</th> <th>new West Virginia</th> <th>% newWest Virginia</th> <th>rate West Virginia</th> <th>South Dakota</th> <th>new South Dakota</th> <th>% newSouth Dakota</th> <th>rate South Dakota</th> <th>Northern Mariana Islands</th> <th>new Northern Mariana Islands</th> <th>% newNorthern Mariana Islands</th> <th>rate Northern Mariana Islands</th> <th>Virgin Islands</th> <th>new Virgin Islands</th> <th>% newVirgin Islands</th> <th>rate Virgin Islands</th> <th>Wyoming</th> <th>new Wyoming</th> <th>% newWyoming</th> <th>rate Wyoming</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>2020-03-29</td> <td>965     </td> <td>183         </td> <td>0.189637     </td> <td>1.23402      </td> <td>161       </td> <td>21            </td> <td>0.130435       </td> <td>1.15           </td> <td>132     </td> <td>21          </td> <td>0.159091     </td> <td>1.18919      </td> <td>152      </td> <td>15           </td> <td>0.0986842     </td> <td>1.10949       </td> <td>130       </td> <td>9             </td> <td>0.0692308      </td> <td>1.07438        </td> <td>207       </td> <td>16            </td> <td>0.0772947      </td> <td>1.08377        </td> <td>70      </td> <td>20          </td> <td>0.285714     </td> <td>1.4          </td> <td>48           </td> <td>4                </td> <td>0.0833333         </td> <td>1.09091           </td> <td>59     </td> <td>3          </td> <td>0.0508475   </td> <td>1.05357     </td> <td>83     </td> <td>4          </td> <td>0.0481928   </td> <td>1.05063     </td> <td>34         </td> <td>1              </td> <td>0.0294118       </td> <td>1.0303          </td> <td>40          </td> <td>5               </td> <td>0.125            </td> <td>1.14286          </td> <td>47      </td> <td>3           </td> <td>0.0638298    </td> <td>1.06818      </td> <td>35   </td> <td>6        </td> <td>0.171429  </td> <td>1.2069    </td> <td>32     </td> <td>1          </td> <td>0.03125     </td> <td>1.03226     </td> <td>30  </td> <td>5       </td> <td>0.166667 </td> <td>1.2      </td> <td>17       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>11      </td> <td>1           </td> <td>0.0909091    </td> <td>1.1          </td> <td>18     </td> <td>3          </td> <td>0.166667    </td> <td>1.2         </td> <td>12      </td> <td>2           </td> <td>0.166667     </td> <td>1.2          </td> <td>22      </td> <td>5           </td> <td>0.227273     </td> <td>1.29412      </td> <td>7        </td> <td>1            </td> <td>0.142857      </td> <td>1.16667       </td> <td>15    </td> <td>1         </td> <td>0.0666667  </td> <td>1.07143    </td> <td>16      </td> <td>1           </td> <td>0.0625       </td> <td>1.06667      </td> <td>5      </td> <td>1          </td> <td>0.2         </td> <td>1.25        </td> <td>9       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>16            </td> <td>1                 </td> <td>0.0625             </td> <td>1.06667            </td> <td>14         </td> <td>1              </td> <td>0.0714286       </td> <td>1.07692         </td> <td>6             </td> <td>2                 </td> <td>0.333333           </td> <td>1.5                </td> <td>9        </td> <td>4            </td> <td>0.444444      </td> <td>1.8           </td> <td>13    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3           </td> <td>1               </td> <td>0.333333         </td> <td>1.5              </td> <td>7     </td> <td>1         </td> <td>0.142857   </td> <td>1.16667    </td> <td>4                   </td> <td>0                       </td> <td>0                        </td> <td>1                        </td> <td>4   </td> <td>1       </td> <td>0.25     </td> <td>1.33333  </td> <td>12     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>5          </td> <td>2              </td> <td>0.4             </td> <td>1.66667         </td> <td>6       </td> <td>1           </td> <td>0.166667     </td> <td>1.2          </td> <td>6       </td> <td>1           </td> <td>0.166667     </td> <td>1.2          </td> <td>2         </td> <td>0             </td> <td>0              </td> <td>1              </td> <td>6    </td> <td>1        </td> <td>0.166667  </td> <td>1.2       </td> <td>3    </td> <td>2        </td> <td>0.666667  </td> <td>3         </td> <td>3            </td> <td>1                </td> <td>0.333333          </td> <td>1.5               </td> <td>2       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>2   </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>1      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>1     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>1   </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>0     </td> <td>0         </td> <td>nan        </td> <td>nan        </td> <td>1           </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>1            </td> <td>1                </td> <td>1                 </td> <td>inf               </td> <td>1           </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>0                       </td> <td>0                           </td> <td>nan                          </td> <td>nan                          </td> <td>0             </td> <td>0                 </td> <td>nan                </td> <td>nan                </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-03-30</td> <td>1224    </td> <td>259         </td> <td>0.211601     </td> <td>1.26839      </td> <td>199       </td> <td>38            </td> <td>0.190955       </td> <td>1.23602        </td> <td>197     </td> <td>65          </td> <td>0.329949     </td> <td>1.49242      </td> <td>186      </td> <td>34           </td> <td>0.182796      </td> <td>1.22368       </td> <td>146       </td> <td>16            </td> <td>0.109589       </td> <td>1.12308        </td> <td>221       </td> <td>14            </td> <td>0.0633484      </td> <td>1.06763        </td> <td>84      </td> <td>14          </td> <td>0.166667     </td> <td>1.2          </td> <td>61           </td> <td>13               </td> <td>0.213115          </td> <td>1.27083           </td> <td>71     </td> <td>12         </td> <td>0.169014    </td> <td>1.20339     </td> <td>102    </td> <td>19         </td> <td>0.186275    </td> <td>1.22892     </td> <td>36         </td> <td>2              </td> <td>0.0555556       </td> <td>1.05882         </td> <td>48          </td> <td>8               </td> <td>0.166667         </td> <td>1.2              </td> <td>51      </td> <td>4           </td> <td>0.0784314    </td> <td>1.08511      </td> <td>46   </td> <td>11       </td> <td>0.23913   </td> <td>1.31429   </td> <td>35     </td> <td>3          </td> <td>0.0857143   </td> <td>1.09375     </td> <td>40  </td> <td>10      </td> <td>0.25     </td> <td>1.33333  </td> <td>20       </td> <td>3            </td> <td>0.15          </td> <td>1.17647       </td> <td>15      </td> <td>4           </td> <td>0.266667     </td> <td>1.36364      </td> <td>20     </td> <td>2          </td> <td>0.1         </td> <td>1.11111     </td> <td>13      </td> <td>1           </td> <td>0.0769231    </td> <td>1.08333      </td> <td>26      </td> <td>4           </td> <td>0.153846     </td> <td>1.18182      </td> <td>13       </td> <td>6            </td> <td>0.461538      </td> <td>1.85714       </td> <td>18    </td> <td>3         </td> <td>0.166667   </td> <td>1.2        </td> <td>17      </td> <td>1           </td> <td>0.0588235    </td> <td>1.0625       </td> <td>11     </td> <td>6          </td> <td>0.545455    </td> <td>2.2         </td> <td>11      </td> <td>2           </td> <td>0.181818     </td> <td>1.22222      </td> <td>18            </td> <td>2                 </td> <td>0.111111           </td> <td>1.125              </td> <td>16         </td> <td>2              </td> <td>0.125           </td> <td>1.14286         </td> <td>6             </td> <td>0                 </td> <td>0                  </td> <td>1                  </td> <td>10       </td> <td>1            </td> <td>0.1           </td> <td>1.11111       </td> <td>16    </td> <td>3         </td> <td>0.1875     </td> <td>1.23077    </td> <td>4           </td> <td>1               </td> <td>0.25             </td> <td>1.33333          </td> <td>9     </td> <td>2         </td> <td>0.222222   </td> <td>1.28571    </td> <td>9                   </td> <td>5                       </td> <td>0.555556                 </td> <td>2.25                     </td> <td>6   </td> <td>2       </td> <td>0.333333 </td> <td>1.5      </td> <td>12     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>6          </td> <td>1              </td> <td>0.166667        </td> <td>1.2             </td> <td>7       </td> <td>1           </td> <td>0.142857     </td> <td>1.16667      </td> <td>7       </td> <td>1           </td> <td>0.142857     </td> <td>1.16667      </td> <td>4         </td> <td>2             </td> <td>0.5            </td> <td>2              </td> <td>7    </td> <td>1        </td> <td>0.142857  </td> <td>1.16667   </td> <td>3    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>3            </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>3       </td> <td>1           </td> <td>0.333333     </td> <td>1.5          </td> <td>4   </td> <td>2       </td> <td>0.5      </td> <td>2        </td> <td>4      </td> <td>3          </td> <td>0.75        </td> <td>4           </td> <td>2     </td> <td>1         </td> <td>0.5        </td> <td>2          </td> <td>1   </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>0     </td> <td>0         </td> <td>nan        </td> <td>nan        </td> <td>3           </td> <td>2               </td> <td>0.666667         </td> <td>3                </td> <td>1            </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>1           </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>0                       </td> <td>0                           </td> <td>nan                          </td> <td>nan                          </td> <td>0             </td> <td>0                 </td> <td>nan                </td> <td>nan                </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-03-31</td> <td>1550    </td> <td>326         </td> <td>0.210323     </td> <td>1.26634      </td> <td>267       </td> <td>68            </td> <td>0.254682       </td> <td>1.34171        </td> <td>264     </td> <td>67          </td> <td>0.253788     </td> <td>1.3401       </td> <td>240      </td> <td>54           </td> <td>0.225         </td> <td>1.29032       </td> <td>183       </td> <td>37            </td> <td>0.202186       </td> <td>1.25342        </td> <td>226       </td> <td>5             </td> <td>0.0221239      </td> <td>1.02262        </td> <td>107     </td> <td>23          </td> <td>0.214953     </td> <td>1.27381      </td> <td>89           </td> <td>28               </td> <td>0.314607          </td> <td>1.45902           </td> <td>85     </td> <td>14         </td> <td>0.164706    </td> <td>1.19718     </td> <td>125    </td> <td>23         </td> <td>0.184       </td> <td>1.22549     </td> <td>69         </td> <td>33             </td> <td>0.478261        </td> <td>1.91667         </td> <td>72          </td> <td>24              </td> <td>0.333333         </td> <td>1.5              </td> <td>69      </td> <td>18          </td> <td>0.26087      </td> <td>1.35294      </td> <td>57   </td> <td>11       </td> <td>0.192982  </td> <td>1.23913   </td> <td>50     </td> <td>15         </td> <td>0.3         </td> <td>1.42857     </td> <td>55  </td> <td>15      </td> <td>0.272727 </td> <td>1.375    </td> <td>25       </td> <td>5            </td> <td>0.2           </td> <td>1.25          </td> <td>18      </td> <td>3           </td> <td>0.166667     </td> <td>1.2          </td> <td>24     </td> <td>4          </td> <td>0.166667    </td> <td>1.2         </td> <td>15      </td> <td>2           </td> <td>0.133333     </td> <td>1.15385      </td> <td>27      </td> <td>1           </td> <td>0.037037     </td> <td>1.03846      </td> <td>13       </td> <td>0            </td> <td>0             </td> <td>1             </td> <td>26    </td> <td>8         </td> <td>0.307692   </td> <td>1.44444    </td> <td>23      </td> <td>6           </td> <td>0.26087      </td> <td>1.35294      </td> <td>13     </td> <td>2          </td> <td>0.153846    </td> <td>1.18182     </td> <td>18      </td> <td>7           </td> <td>0.388889     </td> <td>1.63636      </td> <td>22            </td> <td>4                 </td> <td>0.181818           </td> <td>1.22222            </td> <td>20         </td> <td>4              </td> <td>0.2             </td> <td>1.25            </td> <td>10            </td> <td>4                 </td> <td>0.4                </td> <td>1.66667            </td> <td>12       </td> <td>2            </td> <td>0.166667      </td> <td>1.2           </td> <td>18    </td> <td>2         </td> <td>0.111111   </td> <td>1.125      </td> <td>8           </td> <td>4               </td> <td>0.5              </td> <td>2                </td> <td>10    </td> <td>1         </td> <td>0.1        </td> <td>1.11111    </td> <td>9                   </td> <td>0                       </td> <td>0                        </td> <td>1                        </td> <td>7   </td> <td>1       </td> <td>0.142857 </td> <td>1.16667  </td> <td>13     </td> <td>1          </td> <td>0.0769231   </td> <td>1.08333     </td> <td>8          </td> <td>2              </td> <td>0.25            </td> <td>1.33333         </td> <td>8       </td> <td>1           </td> <td>0.125        </td> <td>1.14286      </td> <td>10      </td> <td>3           </td> <td>0.3          </td> <td>1.42857      </td> <td>5         </td> <td>1             </td> <td>0.2            </td> <td>1.25           </td> <td>9    </td> <td>2        </td> <td>0.222222  </td> <td>1.28571   </td> <td>5    </td> <td>2        </td> <td>0.4       </td> <td>1.66667   </td> <td>3            </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>4       </td> <td>1           </td> <td>0.25         </td> <td>1.33333      </td> <td>5   </td> <td>1       </td> <td>0.2      </td> <td>1.25     </td> <td>5      </td> <td>1          </td> <td>0.2         </td> <td>1.25        </td> <td>2     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>2   </td> <td>1       </td> <td>0.5      </td> <td>2        </td> <td>1     </td> <td>1         </td> <td>1          </td> <td>inf        </td> <td>3           </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>1            </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>1           </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>0                       </td> <td>0                           </td> <td>nan                          </td> <td>nan                          </td> <td>0             </td> <td>0                 </td> <td>nan                </td> <td>nan                </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-01</td> <td>1941    </td> <td>391         </td> <td>0.201443     </td> <td>1.25226      </td> <td>355       </td> <td>88            </td> <td>0.247887       </td> <td>1.32959        </td> <td>336     </td> <td>72          </td> <td>0.214286     </td> <td>1.27273      </td> <td>273      </td> <td>33           </td> <td>0.120879      </td> <td>1.1375        </td> <td>212       </td> <td>29            </td> <td>0.136792       </td> <td>1.15847        </td> <td>249       </td> <td>23            </td> <td>0.0923695      </td> <td>1.10177        </td> <td>146     </td> <td>39          </td> <td>0.267123     </td> <td>1.36449      </td> <td>122          </td> <td>33               </td> <td>0.270492          </td> <td>1.37079           </td> <td>100    </td> <td>15         </td> <td>0.15        </td> <td>1.17647     </td> <td>154    </td> <td>29         </td> <td>0.188312    </td> <td>1.232       </td> <td>85         </td> <td>16             </td> <td>0.188235        </td> <td>1.23188         </td> <td>74          </td> <td>2               </td> <td>0.027027         </td> <td>1.02778          </td> <td>80      </td> <td>11          </td> <td>0.1375       </td> <td>1.15942      </td> <td>63   </td> <td>6        </td> <td>0.0952381 </td> <td>1.10526   </td> <td>65     </td> <td>15         </td> <td>0.230769    </td> <td>1.3         </td> <td>65  </td> <td>10      </td> <td>0.153846 </td> <td>1.18182  </td> <td>33       </td> <td>8            </td> <td>0.242424      </td> <td>1.32          </td> <td>33      </td> <td>15          </td> <td>0.454545     </td> <td>1.83333      </td> <td>29     </td> <td>5          </td> <td>0.172414    </td> <td>1.20833     </td> <td>18      </td> <td>3           </td> <td>0.166667     </td> <td>1.2          </td> <td>34      </td> <td>7           </td> <td>0.205882     </td> <td>1.25926      </td> <td>23       </td> <td>10           </td> <td>0.434783      </td> <td>1.76923       </td> <td>32    </td> <td>6         </td> <td>0.1875     </td> <td>1.23077    </td> <td>30      </td> <td>7           </td> <td>0.233333     </td> <td>1.30435      </td> <td>28     </td> <td>15         </td> <td>0.535714    </td> <td>2.15385     </td> <td>20      </td> <td>2           </td> <td>0.1          </td> <td>1.11111      </td> <td>26            </td> <td>4                 </td> <td>0.153846           </td> <td>1.18182            </td> <td>22         </td> <td>2              </td> <td>0.0909091       </td> <td>1.1             </td> <td>11            </td> <td>1                 </td> <td>0.0909091          </td> <td>1.1                </td> <td>17       </td> <td>5            </td> <td>0.294118      </td> <td>1.41667       </td> <td>19    </td> <td>1         </td> <td>0.0526316  </td> <td>1.05556    </td> <td>10          </td> <td>2               </td> <td>0.2              </td> <td>1.25             </td> <td>11    </td> <td>1         </td> <td>0.0909091  </td> <td>1.1        </td> <td>11                  </td> <td>2                       </td> <td>0.181818                 </td> <td>1.22222                  </td> <td>9   </td> <td>2       </td> <td>0.222222 </td> <td>1.28571  </td> <td>16     </td> <td>3          </td> <td>0.1875      </td> <td>1.23077     </td> <td>11         </td> <td>3              </td> <td>0.272727        </td> <td>1.375           </td> <td>10      </td> <td>2           </td> <td>0.2          </td> <td>1.25         </td> <td>11      </td> <td>1           </td> <td>0.0909091    </td> <td>1.1          </td> <td>6         </td> <td>1             </td> <td>0.166667       </td> <td>1.2            </td> <td>9    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>7    </td> <td>2        </td> <td>0.285714  </td> <td>1.4       </td> <td>4            </td> <td>1                </td> <td>0.25              </td> <td>1.33333           </td> <td>5       </td> <td>1           </td> <td>0.2          </td> <td>1.25         </td> <td>7   </td> <td>2       </td> <td>0.285714 </td> <td>1.4      </td> <td>5      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>2     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3   </td> <td>1       </td> <td>0.333333 </td> <td>1.5      </td> <td>1     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3           </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>2            </td> <td>1                </td> <td>0.5               </td> <td>2                 </td> <td>2           </td> <td>1               </td> <td>0.5              </td> <td>2                </td> <td>1                       </td> <td>1                           </td> <td>1                            </td> <td>inf                          </td> <td>0             </td> <td>0                 </td> <td>nan                </td> <td>nan                </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-02</td> <td>2653    </td> <td>712         </td> <td>0.268375     </td> <td>1.36682      </td> <td>539       </td> <td>184           </td> <td>0.341373       </td> <td>1.51831        </td> <td>417     </td> <td>81          </td> <td>0.194245     </td> <td>1.24107      </td> <td>310      </td> <td>37           </td> <td>0.119355      </td> <td>1.13553       </td> <td>243       </td> <td>31            </td> <td>0.127572       </td> <td>1.14623        </td> <td>272       </td> <td>23            </td> <td>0.0845588      </td> <td>1.09237        </td> <td>165     </td> <td>19          </td> <td>0.115152     </td> <td>1.13014      </td> <td>154          </td> <td>32               </td> <td>0.207792          </td> <td>1.2623            </td> <td>144    </td> <td>44         </td> <td>0.305556    </td> <td>1.44        </td> <td>176    </td> <td>22         </td> <td>0.125       </td> <td>1.14286     </td> <td>112        </td> <td>27             </td> <td>0.241071        </td> <td>1.31765         </td> <td>90          </td> <td>16              </td> <td>0.177778         </td> <td>1.21622          </td> <td>96      </td> <td>16          </td> <td>0.166667     </td> <td>1.2          </td> <td>79   </td> <td>16       </td> <td>0.202532  </td> <td>1.25397   </td> <td>78     </td> <td>13         </td> <td>0.166667    </td> <td>1.2         </td> <td>81  </td> <td>16      </td> <td>0.197531 </td> <td>1.24615  </td> <td>37       </td> <td>4            </td> <td>0.108108      </td> <td>1.12121       </td> <td>36      </td> <td>3           </td> <td>0.0833333    </td> <td>1.09091      </td> <td>35     </td> <td>6          </td> <td>0.171429    </td> <td>1.2069      </td> <td>24      </td> <td>6           </td> <td>0.25         </td> <td>1.33333      </td> <td>41      </td> <td>7           </td> <td>0.170732     </td> <td>1.20588      </td> <td>32       </td> <td>9            </td> <td>0.28125       </td> <td>1.3913        </td> <td>38    </td> <td>6         </td> <td>0.157895   </td> <td>1.1875     </td> <td>34      </td> <td>4           </td> <td>0.117647     </td> <td>1.13333      </td> <td>32     </td> <td>4          </td> <td>0.125       </td> <td>1.14286     </td> <td>34      </td> <td>14          </td> <td>0.411765     </td> <td>1.7          </td> <td>31            </td> <td>5                 </td> <td>0.16129            </td> <td>1.19231            </td> <td>26         </td> <td>4              </td> <td>0.153846        </td> <td>1.18182         </td> <td>17            </td> <td>6                 </td> <td>0.352941           </td> <td>1.54545            </td> <td>18       </td> <td>1            </td> <td>0.0555556     </td> <td>1.05882       </td> <td>21    </td> <td>2         </td> <td>0.0952381  </td> <td>1.10526    </td> <td>12          </td> <td>2               </td> <td>0.166667         </td> <td>1.2              </td> <td>14    </td> <td>3         </td> <td>0.214286   </td> <td>1.27273    </td> <td>12                  </td> <td>1                       </td> <td>0.0833333                </td> <td>1.09091                  </td> <td>11  </td> <td>2       </td> <td>0.181818 </td> <td>1.22222  </td> <td>17     </td> <td>1          </td> <td>0.0588235   </td> <td>1.0625      </td> <td>12         </td> <td>1              </td> <td>0.0833333       </td> <td>1.09091         </td> <td>12      </td> <td>2           </td> <td>0.166667     </td> <td>1.2          </td> <td>12      </td> <td>1           </td> <td>0.0833333    </td> <td>1.09091      </td> <td>7         </td> <td>1             </td> <td>0.142857       </td> <td>1.16667        </td> <td>9    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>7    </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>5            </td> <td>1                </td> <td>0.2               </td> <td>1.25              </td> <td>6       </td> <td>1           </td> <td>0.166667     </td> <td>1.2          </td> <td>7   </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>5      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>2     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3   </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>2     </td> <td>1         </td> <td>0.5        </td> <td>2          </td> <td>3           </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>2            </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>2           </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>1                       </td> <td>0                           </td> <td>0                            </td> <td>1                            </td> <td>0             </td> <td>0                 </td> <td>nan                </td> <td>nan                </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-03</td> <td>2935    </td> <td>282         </td> <td>0.0960818    </td> <td>1.10629      </td> <td>647       </td> <td>108           </td> <td>0.166924       </td> <td>1.20037        </td> <td>478     </td> <td>61          </td> <td>0.127615     </td> <td>1.14628      </td> <td>370      </td> <td>60           </td> <td>0.162162      </td> <td>1.19355       </td> <td>282       </td> <td>39            </td> <td>0.138298       </td> <td>1.16049        </td> <td>293       </td> <td>21            </td> <td>0.0716724      </td> <td>1.07721        </td> <td>211     </td> <td>46          </td> <td>0.218009     </td> <td>1.27879      </td> <td>192          </td> <td>38               </td> <td>0.197917          </td> <td>1.24675           </td> <td>169    </td> <td>25         </td> <td>0.147929    </td> <td>1.17361     </td> <td>198    </td> <td>22         </td> <td>0.111111    </td> <td>1.125       </td> <td>132        </td> <td>20             </td> <td>0.151515        </td> <td>1.17857         </td> <td>102         </td> <td>12              </td> <td>0.117647         </td> <td>1.13333          </td> <td>110     </td> <td>14          </td> <td>0.127273     </td> <td>1.14583      </td> <td>97   </td> <td>18       </td> <td>0.185567  </td> <td>1.22785   </td> <td>102    </td> <td>24         </td> <td>0.235294    </td> <td>1.30769     </td> <td>91  </td> <td>10      </td> <td>0.10989  </td> <td>1.12346  </td> <td>49       </td> <td>12           </td> <td>0.244898      </td> <td>1.32432       </td> <td>42      </td> <td>6           </td> <td>0.142857     </td> <td>1.16667      </td> <td>41     </td> <td>6          </td> <td>0.146341    </td> <td>1.17143     </td> <td>31      </td> <td>7           </td> <td>0.225806     </td> <td>1.29167      </td> <td>46      </td> <td>5           </td> <td>0.108696     </td> <td>1.12195      </td> <td>36       </td> <td>4            </td> <td>0.111111      </td> <td>1.125         </td> <td>43    </td> <td>5         </td> <td>0.116279   </td> <td>1.13158    </td> <td>38      </td> <td>4           </td> <td>0.105263     </td> <td>1.11765      </td> <td>38     </td> <td>6          </td> <td>0.157895    </td> <td>1.1875      </td> <td>34      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>34            </td> <td>3                 </td> <td>0.0882353          </td> <td>1.09677            </td> <td>29         </td> <td>3              </td> <td>0.103448        </td> <td>1.11538         </td> <td>19            </td> <td>2                 </td> <td>0.105263           </td> <td>1.11765            </td> <td>22       </td> <td>4            </td> <td>0.181818      </td> <td>1.22222       </td> <td>22    </td> <td>1         </td> <td>0.0454545  </td> <td>1.04762    </td> <td>14          </td> <td>2               </td> <td>0.142857         </td> <td>1.16667          </td> <td>19    </td> <td>5         </td> <td>0.263158   </td> <td>1.35714    </td> <td>15                  </td> <td>3                       </td> <td>0.2                      </td> <td>1.25                     </td> <td>11  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>17     </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>15         </td> <td>3              </td> <td>0.2             </td> <td>1.25            </td> <td>12      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>14      </td> <td>2           </td> <td>0.142857     </td> <td>1.16667      </td> <td>10        </td> <td>3             </td> <td>0.3            </td> <td>1.42857        </td> <td>10   </td> <td>1        </td> <td>0.1       </td> <td>1.11111   </td> <td>9    </td> <td>2        </td> <td>0.222222  </td> <td>1.28571   </td> <td>7            </td> <td>2                </td> <td>0.285714          </td> <td>1.4               </td> <td>6       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>7   </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>5      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>2     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>4   </td> <td>1       </td> <td>0.25     </td> <td>1.33333  </td> <td>3     </td> <td>1         </td> <td>0.333333   </td> <td>1.5        </td> <td>3           </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>2            </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>2           </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>1                       </td> <td>0                           </td> <td>0                            </td> <td>1                            </td> <td>0             </td> <td>0                 </td> <td>nan                </td> <td>nan                </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-04</td> <td>3568    </td> <td>633         </td> <td>0.17741      </td> <td>1.21567      </td> <td>847       </td> <td>200           </td> <td>0.236128       </td> <td>1.30912        </td> <td>540     </td> <td>62          </td> <td>0.114815     </td> <td>1.12971      </td> <td>412      </td> <td>42           </td> <td>0.101942      </td> <td>1.11351       </td> <td>323       </td> <td>41            </td> <td>0.126935       </td> <td>1.14539        </td> <td>318       </td> <td>25            </td> <td>0.0786164      </td> <td>1.08532        </td> <td>248     </td> <td>37          </td> <td>0.149194     </td> <td>1.17536      </td> <td>216          </td> <td>24               </td> <td>0.111111          </td> <td>1.125             </td> <td>194    </td> <td>25         </td> <td>0.128866    </td> <td>1.14793     </td> <td>208    </td> <td>10         </td> <td>0.0480769   </td> <td>1.05051     </td> <td>165        </td> <td>33             </td> <td>0.2             </td> <td>1.25            </td> <td>139         </td> <td>37              </td> <td>0.266187         </td> <td>1.36275          </td> <td>126     </td> <td>16          </td> <td>0.126984     </td> <td>1.14545      </td> <td>124  </td> <td>27       </td> <td>0.217742  </td> <td>1.27835   </td> <td>116    </td> <td>14         </td> <td>0.12069     </td> <td>1.13725     </td> <td>102 </td> <td>11      </td> <td>0.107843 </td> <td>1.12088  </td> <td>60       </td> <td>11           </td> <td>0.183333      </td> <td>1.22449       </td> <td>54      </td> <td>12          </td> <td>0.222222     </td> <td>1.28571      </td> <td>53     </td> <td>12         </td> <td>0.226415    </td> <td>1.29268     </td> <td>44      </td> <td>13          </td> <td>0.295455     </td> <td>1.41935      </td> <td>52      </td> <td>6           </td> <td>0.115385     </td> <td>1.13043      </td> <td>47       </td> <td>11           </td> <td>0.234043      </td> <td>1.30556       </td> <td>46    </td> <td>3         </td> <td>0.0652174  </td> <td>1.06977    </td> <td>42      </td> <td>4           </td> <td>0.0952381    </td> <td>1.10526      </td> <td>44     </td> <td>6          </td> <td>0.136364    </td> <td>1.15789     </td> <td>40      </td> <td>6           </td> <td>0.15         </td> <td>1.17647      </td> <td>40            </td> <td>6                 </td> <td>0.15               </td> <td>1.17647            </td> <td>35         </td> <td>6              </td> <td>0.171429        </td> <td>1.2069          </td> <td>30            </td> <td>11                </td> <td>0.366667           </td> <td>1.57895            </td> <td>24       </td> <td>2            </td> <td>0.0833333     </td> <td>1.09091       </td> <td>26    </td> <td>4         </td> <td>0.153846   </td> <td>1.18182    </td> <td>17          </td> <td>3               </td> <td>0.176471         </td> <td>1.21429          </td> <td>21    </td> <td>2         </td> <td>0.0952381  </td> <td>1.10526    </td> <td>21                  </td> <td>6                       </td> <td>0.285714                 </td> <td>1.4                      </td> <td>11  </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>20     </td> <td>3          </td> <td>0.15        </td> <td>1.17647     </td> <td>18         </td> <td>3              </td> <td>0.166667        </td> <td>1.2             </td> <td>14      </td> <td>2           </td> <td>0.142857     </td> <td>1.16667      </td> <td>14      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>11        </td> <td>1             </td> <td>0.0909091      </td> <td>1.1            </td> <td>10   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>10   </td> <td>1        </td> <td>0.1       </td> <td>1.11111   </td> <td>9            </td> <td>2                </td> <td>0.222222          </td> <td>1.28571           </td> <td>8       </td> <td>2           </td> <td>0.25         </td> <td>1.33333      </td> <td>8   </td> <td>1       </td> <td>0.125    </td> <td>1.14286  </td> <td>6      </td> <td>1          </td> <td>0.166667    </td> <td>1.2         </td> <td>3     </td> <td>1         </td> <td>0.333333   </td> <td>1.5        </td> <td>4   </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>3     </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>3           </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>2            </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>2           </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>1                       </td> <td>0                           </td> <td>0                            </td> <td>1                            </td> <td>0             </td> <td>0                 </td> <td>nan                </td> <td>nan                </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-05</td> <td>4161    </td> <td>593         </td> <td>0.142514     </td> <td>1.1662       </td> <td>917       </td> <td>70            </td> <td>0.0763359      </td> <td>1.08264        </td> <td>616     </td> <td>76          </td> <td>0.123377     </td> <td>1.14074      </td> <td>477      </td> <td>65           </td> <td>0.136268      </td> <td>1.15777       </td> <td>349       </td> <td>26            </td> <td>0.0744986      </td> <td>1.0805         </td> <td>344       </td> <td>26            </td> <td>0.0755814      </td> <td>1.08176        </td> <td>282     </td> <td>34          </td> <td>0.120567     </td> <td>1.1371       </td> <td>231          </td> <td>15               </td> <td>0.0649351         </td> <td>1.06944           </td> <td>220    </td> <td>26         </td> <td>0.118182    </td> <td>1.13402     </td> <td>219    </td> <td>11         </td> <td>0.0502283   </td> <td>1.05288     </td> <td>189        </td> <td>24             </td> <td>0.126984        </td> <td>1.14545         </td> <td>159         </td> <td>20              </td> <td>0.125786         </td> <td>1.14388          </td> <td>140     </td> <td>14          </td> <td>0.1          </td> <td>1.11111      </td> <td>137  </td> <td>13       </td> <td>0.0948905 </td> <td>1.10484   </td> <td>127    </td> <td>11         </td> <td>0.0866142   </td> <td>1.09483     </td> <td>119 </td> <td>17      </td> <td>0.142857 </td> <td>1.16667  </td> <td>73       </td> <td>13           </td> <td>0.178082      </td> <td>1.21667       </td> <td>68      </td> <td>14          </td> <td>0.205882     </td> <td>1.25926      </td> <td>64     </td> <td>11         </td> <td>0.171875    </td> <td>1.20755     </td> <td>52      </td> <td>8           </td> <td>0.153846     </td> <td>1.18182      </td> <td>52      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>50       </td> <td>3            </td> <td>0.06          </td> <td>1.06383       </td> <td>46    </td> <td>0         </td> <td>0          </td> <td>1          </td> <td>46      </td> <td>4           </td> <td>0.0869565    </td> <td>1.09524      </td> <td>45     </td> <td>1          </td> <td>0.0222222   </td> <td>1.02273     </td> <td>44      </td> <td>4           </td> <td>0.0909091    </td> <td>1.1          </td> <td>44            </td> <td>4                 </td> <td>0.0909091          </td> <td>1.1                </td> <td>43         </td> <td>8              </td> <td>0.186047        </td> <td>1.22857         </td> <td>37            </td> <td>7                 </td> <td>0.189189           </td> <td>1.23333            </td> <td>29       </td> <td>5            </td> <td>0.172414      </td> <td>1.20833       </td> <td>27    </td> <td>1         </td> <td>0.037037   </td> <td>1.03846    </td> <td>25          </td> <td>8               </td> <td>0.32             </td> <td>1.47059          </td> <td>23    </td> <td>2         </td> <td>0.0869565  </td> <td>1.09524    </td> <td>22                  </td> <td>1                       </td> <td>0.0454545                </td> <td>1.04762                  </td> <td>22  </td> <td>11      </td> <td>0.5      </td> <td>2        </td> <td>22     </td> <td>2          </td> <td>0.0909091   </td> <td>1.1         </td> <td>20         </td> <td>2              </td> <td>0.1             </td> <td>1.11111         </td> <td>16      </td> <td>2           </td> <td>0.125        </td> <td>1.14286      </td> <td>14      </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>12        </td> <td>1             </td> <td>0.0833333      </td> <td>1.09091        </td> <td>10   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>10   </td> <td>0        </td> <td>0         </td> <td>1         </td> <td>9            </td> <td>0                </td> <td>0                 </td> <td>1                 </td> <td>8       </td> <td>0           </td> <td>0            </td> <td>1            </td> <td>8   </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>6      </td> <td>0          </td> <td>0           </td> <td>1           </td> <td>4     </td> <td>1         </td> <td>0.25       </td> <td>1.33333    </td> <td>4   </td> <td>0       </td> <td>0        </td> <td>1        </td> <td>4     </td> <td>1         </td> <td>0.25       </td> <td>1.33333    </td> <td>3           </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>3            </td> <td>1                </td> <td>0.333333          </td> <td>1.5               </td> <td>2           </td> <td>0               </td> <td>0                </td> <td>1                </td> <td>1                       </td> <td>0                           </td> <td>0                            </td> <td>1                            </td> <td>0             </td> <td>0                 </td> <td>nan                </td> <td>nan                </td> <td>0      </td> <td>0          </td> <td>nan         </td> <td>nan         </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "date       | New York | new New York | % newNew York | rate New York | New Jersey | new New Jersey | % newNew Jersey | rate New Jersey | Michigan | new Michigan | % newMichigan | rate Michigan | Louisiana | new Louisiana | % newLouisiana | rate Louisiana | California | new California | % newCalifornia | rate California | Washington | new Washington | % newWashington | rate Washington | Illinois | new Illinois | % newIllinois | rate Illinois | Massachusetts | new Massachusetts | % newMassachusetts | rate Massachusetts | Florida | new Florida | % newFlorida | rate Florida | Georgia | new Georgia | % newGeorgia | rate Georgia | Connecticut | new Connecticut | % newConnecticut | rate Connecticut | Pennsylvania | new Pennsylvania | % newPennsylvania | rate Pennsylvania | Colorado | new Colorado | % newColorado | rate Colorado | Texas | new Texas | % newTexas | rate Texas | Indiana | new Indiana | % newIndiana | rate Indiana | Ohio | new Ohio | % newOhio | rate Ohio | Wisconsin | new Wisconsin | % newWisconsin | rate Wisconsin | Maryland | new Maryland | % newMaryland | rate Maryland | Arizona | new Arizona | % newArizona | rate Arizona | Missouri | new Missouri | % newMissouri | rate Missouri | Virginia | new Virginia | % newVirginia | rate Virginia | Tennessee | new Tennessee | % newTennessee | rate Tennessee | Nevada | new Nevada | % newNevada | rate Nevada | Oklahoma | new Oklahoma | % newOklahoma | rate Oklahoma | Alabama | new Alabama | % newAlabama | rate Alabama | Kentucky | new Kentucky | % newKentucky | rate Kentucky | South Carolina | new South Carolina | % newSouth Carolina | rate South Carolina | Mississippi | new Mississippi | % newMississippi | rate Mississippi | North Carolina | new North Carolina | % newNorth Carolina | rate North Carolina | Minnesota | new Minnesota | % newMinnesota | rate Minnesota | Oregon | new Oregon | % newOregon | rate Oregon | Rhode Island | new Rhode Island | % newRhode Island | rate Rhode Island | Kansas | new Kansas | % newKansas | rate Kansas | District of Columbia | new District of Columbia | % newDistrict of Columbia | rate District of Columbia | Iowa | new Iowa | % newIowa | rate Iowa | Vermont | new Vermont | % newVermont | rate Vermont | Puerto Rico | new Puerto Rico | % newPuerto Rico | rate Puerto Rico | Arkansas | new Arkansas | % newArkansas | rate Arkansas | Delaware | new Delaware | % newDelaware | rate Delaware | New Mexico | new New Mexico | % newNew Mexico | rate New Mexico | Idaho | new Idaho | % newIdaho | rate Idaho | Maine | new Maine | % newMaine | rate Maine | New Hampshire | new New Hampshire | % newNew Hampshire | rate New Hampshire | Nebraska | new Nebraska | % newNebraska | rate Nebraska | Utah | new Utah | % newUtah | rate Utah | Montana | new Montana | % newMontana | rate Montana | Alaska | new Alaska | % newAlaska | rate Alaska | Guam | new Guam | % newGuam | rate Guam | Hawaii | new Hawaii | % newHawaii | rate Hawaii | North Dakota | new North Dakota | % newNorth Dakota | rate North Dakota | West Virginia | new West Virginia | % newWest Virginia | rate West Virginia | South Dakota | new South Dakota | % newSouth Dakota | rate South Dakota | Northern Mariana Islands | new Northern Mariana Islands | % newNorthern Mariana Islands | rate Northern Mariana Islands | Virgin Islands | new Virgin Islands | % newVirgin Islands | rate Virgin Islands | Wyoming | new Wyoming | % newWyoming | rate Wyoming\n",
       "2020-03-29 | 965      | 183          | 0.189637      | 1.23402       | 161        | 21             | 0.130435        | 1.15            | 132      | 21           | 0.159091      | 1.18919       | 152       | 15            | 0.0986842      | 1.10949        | 130        | 9              | 0.0692308       | 1.07438         | 207        | 16             | 0.0772947       | 1.08377         | 70       | 20           | 0.285714      | 1.4           | 48            | 4                 | 0.0833333          | 1.09091            | 59      | 3           | 0.0508475    | 1.05357      | 83      | 4           | 0.0481928    | 1.05063      | 34          | 1               | 0.0294118        | 1.0303           | 40           | 5                | 0.125             | 1.14286           | 47       | 3            | 0.0638298     | 1.06818       | 35    | 6         | 0.171429   | 1.2069     | 32      | 1           | 0.03125      | 1.03226      | 30   | 5        | 0.166667  | 1.2       | 17        | 0             | 0              | 1              | 11       | 1            | 0.0909091     | 1.1           | 18      | 3           | 0.166667     | 1.2          | 12       | 2            | 0.166667      | 1.2           | 22       | 5            | 0.227273      | 1.29412       | 7         | 1             | 0.142857       | 1.16667        | 15     | 1          | 0.0666667   | 1.07143     | 16       | 1            | 0.0625        | 1.06667       | 5       | 1           | 0.2          | 1.25         | 9        | 0            | 0             | 1             | 16             | 1                  | 0.0625              | 1.06667             | 14          | 1               | 0.0714286        | 1.07692          | 6              | 2                  | 0.333333            | 1.5                 | 9         | 4             | 0.444444       | 1.8            | 13     | 0          | 0           | 1           | 3            | 1                | 0.333333          | 1.5               | 7      | 1          | 0.142857    | 1.16667     | 4                    | 0                        | 0                         | 1                         | 4    | 1        | 0.25      | 1.33333   | 12      | 0           | 0            | 1            | 5           | 2               | 0.4              | 1.66667          | 6        | 1            | 0.166667      | 1.2           | 6        | 1            | 0.166667      | 1.2           | 2          | 0              | 0               | 1               | 6     | 1         | 0.166667   | 1.2        | 3     | 2         | 0.666667   | 3          | 3             | 1                 | 0.333333           | 1.5                | 2        | 0            | 0             | 1             | 2    | 0        | 0         | 1         | 1       | 0           | 0            | 1            | 1      | 0          | 0           | 1           | 1    | 0        | 0         | 1         | 0      | 0          | nan         | nan         | 1            | 0                | 0                 | 1                 | 1             | 1                 | 1                  | inf                | 1            | 0                | 0                 | 1                 | 0                        | 0                            | nan                           | nan                           | 0              | 0                  | nan                 | nan                 | 0       | 0           | nan          | nan\n",
       "2020-03-30 | 1224     | 259          | 0.211601      | 1.26839       | 199        | 38             | 0.190955        | 1.23602         | 197      | 65           | 0.329949      | 1.49242       | 186       | 34            | 0.182796       | 1.22368        | 146        | 16             | 0.109589        | 1.12308         | 221        | 14             | 0.0633484       | 1.06763         | 84       | 14           | 0.166667      | 1.2           | 61            | 13                | 0.213115           | 1.27083            | 71      | 12          | 0.169014     | 1.20339      | 102     | 19          | 0.186275     | 1.22892      | 36          | 2               | 0.0555556        | 1.05882          | 48           | 8                | 0.166667          | 1.2               | 51       | 4            | 0.0784314     | 1.08511       | 46    | 11        | 0.23913    | 1.31429    | 35      | 3           | 0.0857143    | 1.09375      | 40   | 10       | 0.25      | 1.33333   | 20        | 3             | 0.15           | 1.17647        | 15       | 4            | 0.266667      | 1.36364       | 20      | 2           | 0.1          | 1.11111      | 13       | 1            | 0.0769231     | 1.08333       | 26       | 4            | 0.153846      | 1.18182       | 13        | 6             | 0.461538       | 1.85714        | 18     | 3          | 0.166667    | 1.2         | 17       | 1            | 0.0588235     | 1.0625        | 11      | 6           | 0.545455     | 2.2          | 11       | 2            | 0.181818      | 1.22222       | 18             | 2                  | 0.111111            | 1.125               | 16          | 2               | 0.125            | 1.14286          | 6              | 0                  | 0                   | 1                   | 10        | 1             | 0.1            | 1.11111        | 16     | 3          | 0.1875      | 1.23077     | 4            | 1                | 0.25              | 1.33333           | 9      | 2          | 0.222222    | 1.28571     | 9                    | 5                        | 0.555556                  | 2.25                      | 6    | 2        | 0.333333  | 1.5       | 12      | 0           | 0            | 1            | 6           | 1               | 0.166667         | 1.2              | 7        | 1            | 0.142857      | 1.16667       | 7        | 1            | 0.142857      | 1.16667       | 4          | 2              | 0.5             | 2               | 7     | 1         | 0.142857   | 1.16667    | 3     | 0         | 0          | 1          | 3             | 0                 | 0                  | 1                  | 3        | 1            | 0.333333      | 1.5           | 4    | 2        | 0.5       | 2         | 4       | 3           | 0.75         | 4            | 2      | 1          | 0.5         | 2           | 1    | 0        | 0         | 1         | 0      | 0          | nan         | nan         | 3            | 2                | 0.666667          | 3                 | 1             | 0                 | 0                  | 1                  | 1            | 0                | 0                 | 1                 | 0                        | 0                            | nan                           | nan                           | 0              | 0                  | nan                 | nan                 | 0       | 0           | nan          | nan\n",
       "2020-03-31 | 1550     | 326          | 0.210323      | 1.26634       | 267        | 68             | 0.254682        | 1.34171         | 264      | 67           | 0.253788      | 1.3401        | 240       | 54            | 0.225          | 1.29032        | 183        | 37             | 0.202186        | 1.25342         | 226        | 5              | 0.0221239       | 1.02262         | 107      | 23           | 0.214953      | 1.27381       | 89            | 28                | 0.314607           | 1.45902            | 85      | 14          | 0.164706     | 1.19718      | 125     | 23          | 0.184        | 1.22549      | 69          | 33              | 0.478261         | 1.91667          | 72           | 24               | 0.333333          | 1.5               | 69       | 18           | 0.26087       | 1.35294       | 57    | 11        | 0.192982   | 1.23913    | 50      | 15          | 0.3          | 1.42857      | 55   | 15       | 0.272727  | 1.375     | 25        | 5             | 0.2            | 1.25           | 18       | 3            | 0.166667      | 1.2           | 24      | 4           | 0.166667     | 1.2          | 15       | 2            | 0.133333      | 1.15385       | 27       | 1            | 0.037037      | 1.03846       | 13        | 0             | 0              | 1              | 26     | 8          | 0.307692    | 1.44444     | 23       | 6            | 0.26087       | 1.35294       | 13      | 2           | 0.153846     | 1.18182      | 18       | 7            | 0.388889      | 1.63636       | 22             | 4                  | 0.181818            | 1.22222             | 20          | 4               | 0.2              | 1.25             | 10             | 4                  | 0.4                 | 1.66667             | 12        | 2             | 0.166667       | 1.2            | 18     | 2          | 0.111111    | 1.125       | 8            | 4                | 0.5               | 2                 | 10     | 1          | 0.1         | 1.11111     | 9                    | 0                        | 0                         | 1                         | 7    | 1        | 0.142857  | 1.16667   | 13      | 1           | 0.0769231    | 1.08333      | 8           | 2               | 0.25             | 1.33333          | 8        | 1            | 0.125         | 1.14286       | 10       | 3            | 0.3           | 1.42857       | 5          | 1              | 0.2             | 1.25            | 9     | 2         | 0.222222   | 1.28571    | 5     | 2         | 0.4        | 1.66667    | 3             | 0                 | 0                  | 1                  | 4        | 1            | 0.25          | 1.33333       | 5    | 1        | 0.2       | 1.25      | 5       | 1           | 0.2          | 1.25         | 2      | 0          | 0           | 1           | 2    | 1        | 0.5       | 2         | 1      | 1          | 1           | inf         | 3            | 0                | 0                 | 1                 | 1             | 0                 | 0                  | 1                  | 1            | 0                | 0                 | 1                 | 0                        | 0                            | nan                           | nan                           | 0              | 0                  | nan                 | nan                 | 0       | 0           | nan          | nan\n",
       "2020-04-01 | 1941     | 391          | 0.201443      | 1.25226       | 355        | 88             | 0.247887        | 1.32959         | 336      | 72           | 0.214286      | 1.27273       | 273       | 33            | 0.120879       | 1.1375         | 212        | 29             | 0.136792        | 1.15847         | 249        | 23             | 0.0923695       | 1.10177         | 146      | 39           | 0.267123      | 1.36449       | 122           | 33                | 0.270492           | 1.37079            | 100     | 15          | 0.15         | 1.17647      | 154     | 29          | 0.188312     | 1.232        | 85          | 16              | 0.188235         | 1.23188          | 74           | 2                | 0.027027          | 1.02778           | 80       | 11           | 0.1375        | 1.15942       | 63    | 6         | 0.0952381  | 1.10526    | 65      | 15          | 0.230769     | 1.3          | 65   | 10       | 0.153846  | 1.18182   | 33        | 8             | 0.242424       | 1.32           | 33       | 15           | 0.454545      | 1.83333       | 29      | 5           | 0.172414     | 1.20833      | 18       | 3            | 0.166667      | 1.2           | 34       | 7            | 0.205882      | 1.25926       | 23        | 10            | 0.434783       | 1.76923        | 32     | 6          | 0.1875      | 1.23077     | 30       | 7            | 0.233333      | 1.30435       | 28      | 15          | 0.535714     | 2.15385      | 20       | 2            | 0.1           | 1.11111       | 26             | 4                  | 0.153846            | 1.18182             | 22          | 2               | 0.0909091        | 1.1              | 11             | 1                  | 0.0909091           | 1.1                 | 17        | 5             | 0.294118       | 1.41667        | 19     | 1          | 0.0526316   | 1.05556     | 10           | 2                | 0.2               | 1.25              | 11     | 1          | 0.0909091   | 1.1         | 11                   | 2                        | 0.181818                  | 1.22222                   | 9    | 2        | 0.222222  | 1.28571   | 16      | 3           | 0.1875       | 1.23077      | 11          | 3               | 0.272727         | 1.375            | 10       | 2            | 0.2           | 1.25          | 11       | 1            | 0.0909091     | 1.1           | 6          | 1              | 0.166667        | 1.2             | 9     | 0         | 0          | 1          | 7     | 2         | 0.285714   | 1.4        | 4             | 1                 | 0.25               | 1.33333            | 5        | 1            | 0.2           | 1.25          | 7    | 2        | 0.285714  | 1.4       | 5       | 0           | 0            | 1            | 2      | 0          | 0           | 1           | 3    | 1        | 0.333333  | 1.5       | 1      | 0          | 0           | 1           | 3            | 0                | 0                 | 1                 | 2             | 1                 | 0.5                | 2                  | 2            | 1                | 0.5               | 2                 | 1                        | 1                            | 1                             | inf                           | 0              | 0                  | nan                 | nan                 | 0       | 0           | nan          | nan\n",
       "2020-04-02 | 2653     | 712          | 0.268375      | 1.36682       | 539        | 184            | 0.341373        | 1.51831         | 417      | 81           | 0.194245      | 1.24107       | 310       | 37            | 0.119355       | 1.13553        | 243        | 31             | 0.127572        | 1.14623         | 272        | 23             | 0.0845588       | 1.09237         | 165      | 19           | 0.115152      | 1.13014       | 154           | 32                | 0.207792           | 1.2623             | 144     | 44          | 0.305556     | 1.44         | 176     | 22          | 0.125        | 1.14286      | 112         | 27              | 0.241071         | 1.31765          | 90           | 16               | 0.177778          | 1.21622           | 96       | 16           | 0.166667      | 1.2           | 79    | 16        | 0.202532   | 1.25397    | 78      | 13          | 0.166667     | 1.2          | 81   | 16       | 0.197531  | 1.24615   | 37        | 4             | 0.108108       | 1.12121        | 36       | 3            | 0.0833333     | 1.09091       | 35      | 6           | 0.171429     | 1.2069       | 24       | 6            | 0.25          | 1.33333       | 41       | 7            | 0.170732      | 1.20588       | 32        | 9             | 0.28125        | 1.3913         | 38     | 6          | 0.157895    | 1.1875      | 34       | 4            | 0.117647      | 1.13333       | 32      | 4           | 0.125        | 1.14286      | 34       | 14           | 0.411765      | 1.7           | 31             | 5                  | 0.16129             | 1.19231             | 26          | 4               | 0.153846         | 1.18182          | 17             | 6                  | 0.352941            | 1.54545             | 18        | 1             | 0.0555556      | 1.05882        | 21     | 2          | 0.0952381   | 1.10526     | 12           | 2                | 0.166667          | 1.2               | 14     | 3          | 0.214286    | 1.27273     | 12                   | 1                        | 0.0833333                 | 1.09091                   | 11   | 2        | 0.181818  | 1.22222   | 17      | 1           | 0.0588235    | 1.0625       | 12          | 1               | 0.0833333        | 1.09091          | 12       | 2            | 0.166667      | 1.2           | 12       | 1            | 0.0833333     | 1.09091       | 7          | 1              | 0.142857        | 1.16667         | 9     | 0         | 0          | 1          | 7     | 0         | 0          | 1          | 5             | 1                 | 0.2                | 1.25               | 6        | 1            | 0.166667      | 1.2           | 7    | 0        | 0         | 1         | 5       | 0           | 0            | 1            | 2      | 0          | 0           | 1           | 3    | 0        | 0         | 1         | 2      | 1          | 0.5         | 2           | 3            | 0                | 0                 | 1                 | 2             | 0                 | 0                  | 1                  | 2            | 0                | 0                 | 1                 | 1                        | 0                            | 0                             | 1                             | 0              | 0                  | nan                 | nan                 | 0       | 0           | nan          | nan\n",
       "2020-04-03 | 2935     | 282          | 0.0960818     | 1.10629       | 647        | 108            | 0.166924        | 1.20037         | 478      | 61           | 0.127615      | 1.14628       | 370       | 60            | 0.162162       | 1.19355        | 282        | 39             | 0.138298        | 1.16049         | 293        | 21             | 0.0716724       | 1.07721         | 211      | 46           | 0.218009      | 1.27879       | 192           | 38                | 0.197917           | 1.24675            | 169     | 25          | 0.147929     | 1.17361      | 198     | 22          | 0.111111     | 1.125        | 132         | 20              | 0.151515         | 1.17857          | 102          | 12               | 0.117647          | 1.13333           | 110      | 14           | 0.127273      | 1.14583       | 97    | 18        | 0.185567   | 1.22785    | 102     | 24          | 0.235294     | 1.30769      | 91   | 10       | 0.10989   | 1.12346   | 49        | 12            | 0.244898       | 1.32432        | 42       | 6            | 0.142857      | 1.16667       | 41      | 6           | 0.146341     | 1.17143      | 31       | 7            | 0.225806      | 1.29167       | 46       | 5            | 0.108696      | 1.12195       | 36        | 4             | 0.111111       | 1.125          | 43     | 5          | 0.116279    | 1.13158     | 38       | 4            | 0.105263      | 1.11765       | 38      | 6           | 0.157895     | 1.1875       | 34       | 0            | 0             | 1             | 34             | 3                  | 0.0882353           | 1.09677             | 29          | 3               | 0.103448         | 1.11538          | 19             | 2                  | 0.105263            | 1.11765             | 22        | 4             | 0.181818       | 1.22222        | 22     | 1          | 0.0454545   | 1.04762     | 14           | 2                | 0.142857          | 1.16667           | 19     | 5          | 0.263158    | 1.35714     | 15                   | 3                        | 0.2                       | 1.25                      | 11   | 0        | 0         | 1         | 17      | 0           | 0            | 1            | 15          | 3               | 0.2              | 1.25             | 12       | 0            | 0             | 1             | 14       | 2            | 0.142857      | 1.16667       | 10         | 3              | 0.3             | 1.42857         | 10    | 1         | 0.1        | 1.11111    | 9     | 2         | 0.222222   | 1.28571    | 7             | 2                 | 0.285714           | 1.4                | 6        | 0            | 0             | 1             | 7    | 0        | 0         | 1         | 5       | 0           | 0            | 1            | 2      | 0          | 0           | 1           | 4    | 1        | 0.25      | 1.33333   | 3      | 1          | 0.333333    | 1.5         | 3            | 0                | 0                 | 1                 | 2             | 0                 | 0                  | 1                  | 2            | 0                | 0                 | 1                 | 1                        | 0                            | 0                             | 1                             | 0              | 0                  | nan                 | nan                 | 0       | 0           | nan          | nan\n",
       "2020-04-04 | 3568     | 633          | 0.17741       | 1.21567       | 847        | 200            | 0.236128        | 1.30912         | 540      | 62           | 0.114815      | 1.12971       | 412       | 42            | 0.101942       | 1.11351        | 323        | 41             | 0.126935        | 1.14539         | 318        | 25             | 0.0786164       | 1.08532         | 248      | 37           | 0.149194      | 1.17536       | 216           | 24                | 0.111111           | 1.125              | 194     | 25          | 0.128866     | 1.14793      | 208     | 10          | 0.0480769    | 1.05051      | 165         | 33              | 0.2              | 1.25             | 139          | 37               | 0.266187          | 1.36275           | 126      | 16           | 0.126984      | 1.14545       | 124   | 27        | 0.217742   | 1.27835    | 116     | 14          | 0.12069      | 1.13725      | 102  | 11       | 0.107843  | 1.12088   | 60        | 11            | 0.183333       | 1.22449        | 54       | 12           | 0.222222      | 1.28571       | 53      | 12          | 0.226415     | 1.29268      | 44       | 13           | 0.295455      | 1.41935       | 52       | 6            | 0.115385      | 1.13043       | 47        | 11            | 0.234043       | 1.30556        | 46     | 3          | 0.0652174   | 1.06977     | 42       | 4            | 0.0952381     | 1.10526       | 44      | 6           | 0.136364     | 1.15789      | 40       | 6            | 0.15          | 1.17647       | 40             | 6                  | 0.15                | 1.17647             | 35          | 6               | 0.171429         | 1.2069           | 30             | 11                 | 0.366667            | 1.57895             | 24        | 2             | 0.0833333      | 1.09091        | 26     | 4          | 0.153846    | 1.18182     | 17           | 3                | 0.176471          | 1.21429           | 21     | 2          | 0.0952381   | 1.10526     | 21                   | 6                        | 0.285714                  | 1.4                       | 11   | 0        | 0         | 1         | 20      | 3           | 0.15         | 1.17647      | 18          | 3               | 0.166667         | 1.2              | 14       | 2            | 0.142857      | 1.16667       | 14       | 0            | 0             | 1             | 11         | 1              | 0.0909091       | 1.1             | 10    | 0         | 0          | 1          | 10    | 1         | 0.1        | 1.11111    | 9             | 2                 | 0.222222           | 1.28571            | 8        | 2            | 0.25          | 1.33333       | 8    | 1        | 0.125     | 1.14286   | 6       | 1           | 0.166667     | 1.2          | 3      | 1          | 0.333333    | 1.5         | 4    | 0        | 0         | 1         | 3      | 0          | 0           | 1           | 3            | 0                | 0                 | 1                 | 2             | 0                 | 0                  | 1                  | 2            | 0                | 0                 | 1                 | 1                        | 0                            | 0                             | 1                             | 0              | 0                  | nan                 | nan                 | 0       | 0           | nan          | nan\n",
       "2020-04-05 | 4161     | 593          | 0.142514      | 1.1662        | 917        | 70             | 0.0763359       | 1.08264         | 616      | 76           | 0.123377      | 1.14074       | 477       | 65            | 0.136268       | 1.15777        | 349        | 26             | 0.0744986       | 1.0805          | 344        | 26             | 0.0755814       | 1.08176         | 282      | 34           | 0.120567      | 1.1371        | 231           | 15                | 0.0649351          | 1.06944            | 220     | 26          | 0.118182     | 1.13402      | 219     | 11          | 0.0502283    | 1.05288      | 189         | 24              | 0.126984         | 1.14545          | 159          | 20               | 0.125786          | 1.14388           | 140      | 14           | 0.1           | 1.11111       | 137   | 13        | 0.0948905  | 1.10484    | 127     | 11          | 0.0866142    | 1.09483      | 119  | 17       | 0.142857  | 1.16667   | 73        | 13            | 0.178082       | 1.21667        | 68       | 14           | 0.205882      | 1.25926       | 64      | 11          | 0.171875     | 1.20755      | 52       | 8            | 0.153846      | 1.18182       | 52       | 0            | 0             | 1             | 50        | 3             | 0.06           | 1.06383        | 46     | 0          | 0           | 1           | 46       | 4            | 0.0869565     | 1.09524       | 45      | 1           | 0.0222222    | 1.02273      | 44       | 4            | 0.0909091     | 1.1           | 44             | 4                  | 0.0909091           | 1.1                 | 43          | 8               | 0.186047         | 1.22857          | 37             | 7                  | 0.189189            | 1.23333             | 29        | 5             | 0.172414       | 1.20833        | 27     | 1          | 0.037037    | 1.03846     | 25           | 8                | 0.32              | 1.47059           | 23     | 2          | 0.0869565   | 1.09524     | 22                   | 1                        | 0.0454545                 | 1.04762                   | 22   | 11       | 0.5       | 2         | 22      | 2           | 0.0909091    | 1.1          | 20          | 2               | 0.1              | 1.11111          | 16       | 2            | 0.125         | 1.14286       | 14       | 0            | 0             | 1             | 12         | 1              | 0.0833333       | 1.09091         | 10    | 0         | 0          | 1          | 10    | 0         | 0          | 1          | 9             | 0                 | 0                  | 1                  | 8        | 0            | 0             | 1             | 8    | 0        | 0         | 1         | 6       | 0           | 0            | 1            | 4      | 1          | 0.25        | 1.33333     | 4    | 0        | 0         | 1         | 4      | 1          | 0.25        | 1.33333     | 3            | 0                | 0                 | 1                 | 3             | 1                 | 0.333333           | 1.5                | 2            | 0                | 0                 | 1                 | 1                        | 0                            | 0                             | 1                             | 0              | 0                  | nan                 | nan                 | 0       | 0           | nan          | nan"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prior_to(deaths.order_cols().trend(), 7)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='sectionOneState'></a>\n",
    "## Cases in one state\n",
    "\n",
    "These sections of the notebook allow diving into the picture for a particular state.  We start with the basic trends and then look at projects up to a couple weeks out.  Things are changing so rapidly, it is pretty meaningless to talk about numbers farther out than that.  Whereas just looking at the short term puts in stark relief how rapidly we need to move in preparing to care for infected people."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8d15897578654706955e2e74f943209e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='state', index=4, options=('Alabama', 'Alaska', 'Arizona', 'Arkansa…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def show_st(state='California', prev = 7):\n",
    "    prior_to(cases.extract(state).trend(), prev).show()\n",
    "    prior_to(cases.extract(state).trend().extract([state, 'new']), 21).plot('date', width=7)\n",
    "    _ = plots.xticks(rotation=90)\n",
    "    prior_to(cases.extract(state).trend().extract(['rate']), 21).plot('date', width=7)\n",
    "    _ = plots.xticks(rotation=90)\n",
    "\n",
    "_ = interact(show_st, state=states, prev = (7, 21, 1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='sectionProj'></a>\n",
    "## Projection of cases in one state\n",
    "\n",
    "To look forward at what the story may be over the coming days, we project forward the recent growth rate.  This may be pessimistic if measures are working and the rate is improving.  But, the rate of change in the rate is low enough and the variability due to external factors high enough that any more sophisticated method seems dubious.\n",
    "\n",
    "The vertical line shows where we are today."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "09dfe0a7432c4ceeb3c5dc6bad859d7e",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='state', index=4, options=('Alabama', 'Alaska', 'Arizona', 'Arkansa…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def proj_st(state='California', dist=14):\n",
    "    proj(cases, state, 7, dist)\n",
    "    \n",
    "_ = interact(proj_st, state=states, dist = (7, 14, 1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a id='sectionProjDeath'></a>\n",
    "## Projection of deaths in one state"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "9ea765a1cf1d4a2cb9bb15b79355bb78",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='state', index=4, options=('Alabama', 'Alaska', 'Arizona', 'Arkansa…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def proj_st_deaths(state='California', dist=14):\n",
    "    proj(deaths, state, 7, dist)\n",
    "\n",
    "_ = interact(proj_st_deaths, state=states, dist = (7, 14, 1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Are the projections changing with mitigation measures?\n",
    "\n",
    "We are seeing reductions in growth rates as communities adopt shelter in place and other isolation measures.  How does out prediction today for two weeks out differ from what we would have made yesterday for 15 days out?  \n",
    "\n",
    "This graph shows the project based on the most current data and compares it to the projection based on\n",
    "`prev` days ago.  If measures are succeeding, we should see improvements relative to `-prev`.  The distance of projection is adjustable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "e4680ad6389a48d9bcc547b5e8bc76c9",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='state', index=4, options=('Alabama', 'Alaska', 'Arizona', 'Arkansa…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def proj2_st(state='California', prev=2, dist=14):\n",
    "    proj2(cases, state, prev, dist)\n",
    "    \n",
    "_ = interact(proj2_st, state=states, prev=(0,7,1), dist=(3, 14, 1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "8b2f13ee78134f34ab3ffa228fe6b8af",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='state', index=4, options=('Alabama', 'Alaska', 'Arizona', 'Arkansa…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def proj2_st_deaths(state='California', prev=2):\n",
    "    proj2(deaths, state, prev)\n",
    "    \n",
    "_ = interact(proj2_st_deaths, state=states, prev=(0,7,1))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Changes in case rates\n",
    "\n",
    "Here we try to get a handle on the spread of rates and whether they are improving."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>date</th> <th>Alabama</th> <th>Alaska</th> <th>Arizona</th> <th>Arkansas</th> <th>California</th> <th>Colorado</th> <th>Connecticut</th> <th>Delaware</th> <th>District of Columbia</th> <th>Florida</th> <th>Georgia</th> <th>Guam</th> <th>Hawaii</th> <th>Idaho</th> <th>Illinois</th> <th>Indiana</th> <th>Iowa</th> <th>Kansas</th> <th>Kentucky</th> <th>Louisiana</th> <th>Maine</th> <th>Maryland</th> <th>Massachusetts</th> <th>Michigan</th> <th>Minnesota</th> <th>Mississippi</th> <th>Missouri</th> <th>Montana</th> <th>Nebraska</th> <th>Nevada</th> <th>New Hampshire</th> <th>New Jersey</th> <th>New Mexico</th> <th>New York</th> <th>North Carolina</th> <th>North Dakota</th> <th>Northern Mariana Islands</th> <th>Ohio</th> <th>Oklahoma</th> <th>Oregon</th> <th>Pennsylvania</th> <th>Puerto Rico</th> <th>Rhode Island</th> <th>South Carolina</th> <th>South Dakota</th> <th>Tennessee</th> <th>Texas</th> <th>Utah</th> <th>Vermont</th> <th>Virgin Islands</th> <th>Virginia</th> <th>Washington</th> <th>West Virginia</th> <th>Wisconsin</th> <th>Wyoming</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>2020-03-29</td> <td>1.15278</td> <td>1.11765</td> <td>1.20181</td> <td>1.0978  </td> <td>1.12597   </td> <td>1.12324 </td> <td>1.30774    </td> <td>1.08411 </td> <td>1                   </td> <td>1.22387</td> <td>1.09644</td> <td>1.01754</td> <td>1.15894</td> <td>1.18774</td> <td>1.30054 </td> <td>1.2289 </td> <td>1.12752</td> <td>1.22509</td> <td>1.11421 </td> <td>1.06787  </td> <td>1.19905</td> <td>1.16698 </td> <td>1.16397      </td> <td>1.1836  </td> <td>1.14286  </td> <td>1.13453    </td> <td>1.07757 </td> <td>1.09524</td> <td>1.12295 </td> <td>1.24661</td> <td>1.20561      </td> <td>1.20334   </td> <td>1.13942   </td> <td>1.11628 </td> <td>1.20062       </td> <td>1.04255     </td> <td>1                       </td> <td>1.18421</td> <td>1.13793 </td> <td>1.14405</td> <td>1.22238     </td> <td>1.27       </td> <td>1.23013     </td> <td>1.17273       </td> <td>1.32353     </td> <td>1.15103  </td> <td>1.25497</td> <td>1.18257</td> <td>1.11374</td> <td>1.21053       </td> <td>1.2027  </td> <td>1.1357    </td> <td>1.09735      </td> <td>1.07486  </td> <td>1.03571</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-03-30</td> <td>1.14096</td> <td>1.04386</td> <td>1.25834</td> <td>1.1314  </td> <td>1.18433   </td> <td>1.13521 </td> <td>1.29002    </td> <td>1.13793 </td> <td>1.44737             </td> <td>1.15217</td> <td>1.13008</td> <td>1.03448</td> <td>1.16571</td> <td>1.33871</td> <td>1.09907 </td> <td>1.18098</td> <td>1.2619 </td> <td>1.12349</td> <td>1.09339 </td> <td>1.13701  </td> <td>1.08696</td> <td>1.13666 </td> <td>1.16085      </td> <td>1.18629 </td> <td>1.14286  </td> <td>1.11726    </td> <td>1.16279 </td> <td>1.09938</td> <td>1.35036 </td> <td>1.13478</td> <td>1.21705      </td> <td>1.24279   </td> <td>1.18565   </td> <td>1.12769 </td> <td>1.1174        </td> <td>1.11224     </td> <td>1                       </td> <td>1.16096</td> <td>1.12121 </td> <td>1.10584</td> <td>1.20779     </td> <td>1.37008    </td> <td>1.38776     </td> <td>1.19509       </td> <td>1.12222     </td> <td>1.09618  </td> <td>1.12205</td> <td>1.121  </td> <td>1.08936</td> <td>1.30435       </td> <td>1.14719 </td> <td>1.0578    </td> <td>1.16935      </td> <td>1.13125  </td> <td>1.09195</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-03-31</td> <td>1.05491</td> <td>1.11765</td> <td>1.11035</td> <td>1.11024 </td> <td>1.15645   </td> <td>1.13775 </td> <td>1.21665    </td> <td>1.20833 </td> <td>1                   </td> <td>1.18388</td> <td>1.35785</td> <td>2.31667</td> <td>1.09804</td> <td>1.26747</td> <td>1.18225 </td> <td>1.20749</td> <td>1.17453</td> <td>1.16354</td> <td>1.22917 </td> <td>1.30112  </td> <td>1.10182</td> <td>1.17539 </td> <td>1.1509       </td> <td>1.1724  </td> <td>1.09201  </td> <td>1.10495    </td> <td>1.28667 </td> <td>1.11864</td> <td>1.04324 </td> <td>1.06609</td> <td>1.16879      </td> <td>1.12383   </td> <td>1.121     </td> <td>1.12889 </td> <td>1.17178       </td> <td>1.15596     </td> <td>1                       </td> <td>1.13761</td> <td>1.17672 </td> <td>1.13861</td> <td>1.20236     </td> <td>1.37356    </td> <td>1.19608     </td> <td>1.17081       </td> <td>1.06931     </td> <td>1.19059  </td> <td>1.17516</td> <td>1.1005 </td> <td>1.14453</td> <td>1             </td> <td>1.22429 </td> <td>1.02182   </td> <td>1.11724      </td> <td>1.0663   </td> <td>1.26316</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-01</td> <td>1.10711</td> <td>1.07519</td> <td>1.0886 </td> <td>1.10638 </td> <td>1.14379   </td> <td>1.11906 </td> <td>1.13715    </td> <td>1.15361 </td> <td>1.18384             </td> <td>1.15191</td> <td>1.15327</td> <td>1.05755</td> <td>1.15179</td> <td>1.27186</td> <td>1.1645  </td> <td>1.18805</td> <td>1.10241</td> <td>1.12442</td> <td>1.15593 </td> <td>1.22666  </td> <td>1.13531</td> <td>1.19434 </td> <td>1.16888      </td> <td>1.21796 </td> <td>1.09539  </td> <td>1.14514    </td> <td>1.17024 </td> <td>1.09596</td> <td>1.29016 </td> <td>1.14915</td> <td>1.13079      </td> <td>1.19036   </td> <td>1.15238   </td> <td>1.10625 </td> <td>1.03534       </td> <td>1.16667     </td> <td>3                       </td> <td>1.15825</td> <td>1.27032 </td> <td>1.06667</td> <td>1.1617      </td> <td>1.19665    </td> <td>1.15984     </td> <td>1.19391       </td> <td>1.19444     </td> <td>1.31284  </td> <td>1.19155</td> <td>1.14092</td> <td>1.09556</td> <td>1             </td> <td>1.2088  </td> <td>1.05593   </td> <td>1.17901      </td> <td>1.1473   </td> <td>1.14167</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-02</td> <td>1.14828</td> <td>1.02098</td> <td>1.13234</td> <td>1.09455 </td> <td>1.12011   </td> <td>1.11417 </td> <td>1.07506    </td> <td>1.06793 </td> <td>1.11433             </td> <td>1.15905</td> <td>1.14659</td> <td>1.03401</td> <td>1.0969 </td> <td>1.33184</td> <td>1.10244 </td> <td>1.1848 </td> <td>1.1184 </td> <td>1.13525</td> <td>1.10704 </td> <td>1.42435  </td> <td>1.09302</td> <td>1.17431 </td> <td>1.1587       </td> <td>1.1612  </td> <td>1.07692  </td> <td>1.09692    </td> <td>1.16003 </td> <td>1.1106 </td> <td>1.09639 </td> <td>1.13995</td> <td>1.15422      </td> <td>1.14985   </td> <td>1.11019   </td> <td>1.10587 </td> <td>1.17383       </td> <td>1.08163     </td> <td>1.33333                 </td> <td>1.13938</td> <td>1.22253 </td> <td>1.12228</td> <td>1.20861     </td> <td>1.1049     </td> <td>1.16078     </td> <td>1.20186       </td> <td>1.27907     </td> <td>1.06654  </td> <td>1.14527</td> <td>1.06126</td> <td>1.05296</td> <td>1.23333       </td> <td>1.12905 </td> <td>1.17842   </td> <td>1.13613      </td> <td>1.11613  </td> <td>1.11679</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-03</td> <td>1.20866</td> <td>1.06849</td> <td>1.10563</td> <td>1.08053 </td> <td>1.14316   </td> <td>1.12178 </td> <td>1.2853     </td> <td>1.14504 </td> <td>1.15926             </td> <td>1.14   </td> <td>1.09607</td> <td>1.01316</td> <td>1.12014</td> <td>1.13692</td> <td>1.15712 </td> <td>1.13096</td> <td>1.13844</td> <td>1.12635</td> <td>1.01987 </td> <td>1.12536  </td> <td>1.14894</td> <td>1.18318 </td> <td>1.16016      </td> <td>1.17413 </td> <td>1.06334  </td> <td>1.15378    </td> <td>1.15213 </td> <td>1.08714</td> <td>1.08425 </td> <td>1.06241</td> <td>1.12735      </td> <td>1.16823   </td> <td>1.22829   </td> <td>1.10887 </td> <td>1.12709       </td> <td>1.08805     </td> <td>1                       </td> <td>1.14128</td> <td>1.124   </td> <td>1.08838</td> <td>1.20011     </td> <td>1.1962     </td> <td>1.08219     </td> <td>1.09395       </td> <td>1.13333     </td> <td>1.05681  </td> <td>1.16168</td> <td>1.17318</td> <td>1.15089</td> <td>1.02703       </td> <td>1.17937 </td> <td>1.05786   </td> <td>1.11521      </td> <td>1.10751  </td> <td>1.08497</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-04</td> <td>1.06384</td> <td>1.08333</td> <td>1.14132</td> <td>1.00678 </td> <td>1.09762   </td> <td>1.09374 </td> <td>1.07345    </td> <td>1.31778 </td> <td>1.19155             </td> <td>1.12446</td> <td>1.06972</td> <td>1.44805</td> <td>1.10095</td> <td>1.06318</td> <td>1.16319 </td> <td>1.15013</td> <td>1.12446</td> <td>1.1234 </td> <td>1.19091 </td> <td>1.21356  </td> <td>1.05556</td> <td>1.13307 </td> <td>1.12824      </td> <td>1.12273 </td> <td>1.09632  </td> <td>1.07143    </td> <td>1.08424 </td> <td>1.07252</td> <td>1.14527 </td> <td>1.13493</td> <td>1.15         </td> <td>1.14146   </td> <td>1.09697   </td> <td>1.11788 </td> <td>1.14763       </td> <td>1.07514     </td> <td>1                       </td> <td>1.12893</td> <td>1.17308 </td> <td>1.11123</td> <td>1.20059     </td> <td>1.19577    </td> <td>1.13361     </td> <td>1.12765       </td> <td>1.13369     </td> <td>1.07685  </td> <td>1.15823</td> <td>1.13333</td> <td>1.18509</td> <td>1.10526       </td> <td>1.19632 </td> <td>1.07637   </td> <td>1.16529      </td> <td>1.1023   </td> <td>1.12651</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-05</td> <td>1.12737</td> <td>1.09467</td> <td>1.12382</td> <td>1.14805 </td> <td>1.09278   </td> <td>1.0822  </td> <td>1.07563    </td> <td>1.13491 </td> <td>1.10643             </td> <td>1.06978</td> <td>1.05624</td> <td>1.19731</td> <td>1.05731</td> <td>1.02228</td> <td>1.08873 </td> <td>1.11586</td> <td>1.10433</td> <td>1.08845</td> <td>1.14286 </td> <td>1.04113  </td> <td>1.0307 </td> <td>1.15488 </td> <td>1.0651       </td> <td>1.09912 </td> <td>1.08092  </td> <td>1.12577    </td> <td>1.03317 </td> <td>1.0605 </td> <td>1.11209 </td> <td>1.0694 </td> <td>1.07729      </td> <td>1.09908   </td> <td>1.14917   </td> <td>1.06883 </td> <td>1.07619       </td> <td>1.1129      </td> <td>1                       </td> <td>1.08131</td> <td>1.08024 </td> <td>1.06907</td> <td>1.1464      </td> <td>1.05088    </td> <td>1.14392     </td> <td>1.06886       </td> <td>1.13208     </td> <td>1.08361  </td> <td>1.08041</td> <td>1.12395</td> <td>1.11063</td> <td>1             </td> <td>1.09555 </td> <td>1.06482   </td> <td>1.14894      </td> <td>1.07339  </td> <td>1.06952</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "date       | Alabama | Alaska  | Arizona | Arkansas | California | Colorado | Connecticut | Delaware | District of Columbia | Florida | Georgia | Guam    | Hawaii  | Idaho   | Illinois | Indiana | Iowa    | Kansas  | Kentucky | Louisiana | Maine   | Maryland | Massachusetts | Michigan | Minnesota | Mississippi | Missouri | Montana | Nebraska | Nevada  | New Hampshire | New Jersey | New Mexico | New York | North Carolina | North Dakota | Northern Mariana Islands | Ohio    | Oklahoma | Oregon  | Pennsylvania | Puerto Rico | Rhode Island | South Carolina | South Dakota | Tennessee | Texas   | Utah    | Vermont | Virgin Islands | Virginia | Washington | West Virginia | Wisconsin | Wyoming\n",
       "2020-03-29 | 1.15278 | 1.11765 | 1.20181 | 1.0978   | 1.12597    | 1.12324  | 1.30774     | 1.08411  | 1                    | 1.22387 | 1.09644 | 1.01754 | 1.15894 | 1.18774 | 1.30054  | 1.2289  | 1.12752 | 1.22509 | 1.11421  | 1.06787   | 1.19905 | 1.16698  | 1.16397       | 1.1836   | 1.14286   | 1.13453     | 1.07757  | 1.09524 | 1.12295  | 1.24661 | 1.20561       | 1.20334    | 1.13942    | 1.11628  | 1.20062        | 1.04255      | 1                        | 1.18421 | 1.13793  | 1.14405 | 1.22238      | 1.27        | 1.23013      | 1.17273        | 1.32353      | 1.15103   | 1.25497 | 1.18257 | 1.11374 | 1.21053        | 1.2027   | 1.1357     | 1.09735       | 1.07486   | 1.03571\n",
       "2020-03-30 | 1.14096 | 1.04386 | 1.25834 | 1.1314   | 1.18433    | 1.13521  | 1.29002     | 1.13793  | 1.44737              | 1.15217 | 1.13008 | 1.03448 | 1.16571 | 1.33871 | 1.09907  | 1.18098 | 1.2619  | 1.12349 | 1.09339  | 1.13701   | 1.08696 | 1.13666  | 1.16085       | 1.18629  | 1.14286   | 1.11726     | 1.16279  | 1.09938 | 1.35036  | 1.13478 | 1.21705       | 1.24279    | 1.18565    | 1.12769  | 1.1174         | 1.11224      | 1                        | 1.16096 | 1.12121  | 1.10584 | 1.20779      | 1.37008     | 1.38776      | 1.19509        | 1.12222      | 1.09618   | 1.12205 | 1.121   | 1.08936 | 1.30435        | 1.14719  | 1.0578     | 1.16935       | 1.13125   | 1.09195\n",
       "2020-03-31 | 1.05491 | 1.11765 | 1.11035 | 1.11024  | 1.15645    | 1.13775  | 1.21665     | 1.20833  | 1                    | 1.18388 | 1.35785 | 2.31667 | 1.09804 | 1.26747 | 1.18225  | 1.20749 | 1.17453 | 1.16354 | 1.22917  | 1.30112   | 1.10182 | 1.17539  | 1.1509        | 1.1724   | 1.09201   | 1.10495     | 1.28667  | 1.11864 | 1.04324  | 1.06609 | 1.16879       | 1.12383    | 1.121      | 1.12889  | 1.17178        | 1.15596      | 1                        | 1.13761 | 1.17672  | 1.13861 | 1.20236      | 1.37356     | 1.19608      | 1.17081        | 1.06931      | 1.19059   | 1.17516 | 1.1005  | 1.14453 | 1              | 1.22429  | 1.02182    | 1.11724       | 1.0663    | 1.26316\n",
       "2020-04-01 | 1.10711 | 1.07519 | 1.0886  | 1.10638  | 1.14379    | 1.11906  | 1.13715     | 1.15361  | 1.18384              | 1.15191 | 1.15327 | 1.05755 | 1.15179 | 1.27186 | 1.1645   | 1.18805 | 1.10241 | 1.12442 | 1.15593  | 1.22666   | 1.13531 | 1.19434  | 1.16888       | 1.21796  | 1.09539   | 1.14514     | 1.17024  | 1.09596 | 1.29016  | 1.14915 | 1.13079       | 1.19036    | 1.15238    | 1.10625  | 1.03534        | 1.16667      | 3                        | 1.15825 | 1.27032  | 1.06667 | 1.1617       | 1.19665     | 1.15984      | 1.19391        | 1.19444      | 1.31284   | 1.19155 | 1.14092 | 1.09556 | 1              | 1.2088   | 1.05593    | 1.17901       | 1.1473    | 1.14167\n",
       "2020-04-02 | 1.14828 | 1.02098 | 1.13234 | 1.09455  | 1.12011    | 1.11417  | 1.07506     | 1.06793  | 1.11433              | 1.15905 | 1.14659 | 1.03401 | 1.0969  | 1.33184 | 1.10244  | 1.1848  | 1.1184  | 1.13525 | 1.10704  | 1.42435   | 1.09302 | 1.17431  | 1.1587        | 1.1612   | 1.07692   | 1.09692     | 1.16003  | 1.1106  | 1.09639  | 1.13995 | 1.15422       | 1.14985    | 1.11019    | 1.10587  | 1.17383        | 1.08163      | 1.33333                  | 1.13938 | 1.22253  | 1.12228 | 1.20861      | 1.1049      | 1.16078      | 1.20186        | 1.27907      | 1.06654   | 1.14527 | 1.06126 | 1.05296 | 1.23333        | 1.12905  | 1.17842    | 1.13613       | 1.11613   | 1.11679\n",
       "2020-04-03 | 1.20866 | 1.06849 | 1.10563 | 1.08053  | 1.14316    | 1.12178  | 1.2853      | 1.14504  | 1.15926              | 1.14    | 1.09607 | 1.01316 | 1.12014 | 1.13692 | 1.15712  | 1.13096 | 1.13844 | 1.12635 | 1.01987  | 1.12536   | 1.14894 | 1.18318  | 1.16016       | 1.17413  | 1.06334   | 1.15378     | 1.15213  | 1.08714 | 1.08425  | 1.06241 | 1.12735       | 1.16823    | 1.22829    | 1.10887  | 1.12709        | 1.08805      | 1                        | 1.14128 | 1.124    | 1.08838 | 1.20011      | 1.1962      | 1.08219      | 1.09395        | 1.13333      | 1.05681   | 1.16168 | 1.17318 | 1.15089 | 1.02703        | 1.17937  | 1.05786    | 1.11521       | 1.10751   | 1.08497\n",
       "2020-04-04 | 1.06384 | 1.08333 | 1.14132 | 1.00678  | 1.09762    | 1.09374  | 1.07345     | 1.31778  | 1.19155              | 1.12446 | 1.06972 | 1.44805 | 1.10095 | 1.06318 | 1.16319  | 1.15013 | 1.12446 | 1.1234  | 1.19091  | 1.21356   | 1.05556 | 1.13307  | 1.12824       | 1.12273  | 1.09632   | 1.07143     | 1.08424  | 1.07252 | 1.14527  | 1.13493 | 1.15          | 1.14146    | 1.09697    | 1.11788  | 1.14763        | 1.07514      | 1                        | 1.12893 | 1.17308  | 1.11123 | 1.20059      | 1.19577     | 1.13361      | 1.12765        | 1.13369      | 1.07685   | 1.15823 | 1.13333 | 1.18509 | 1.10526        | 1.19632  | 1.07637    | 1.16529       | 1.1023    | 1.12651\n",
       "2020-04-05 | 1.12737 | 1.09467 | 1.12382 | 1.14805  | 1.09278    | 1.0822   | 1.07563     | 1.13491  | 1.10643              | 1.06978 | 1.05624 | 1.19731 | 1.05731 | 1.02228 | 1.08873  | 1.11586 | 1.10433 | 1.08845 | 1.14286  | 1.04113   | 1.0307  | 1.15488  | 1.0651        | 1.09912  | 1.08092   | 1.12577     | 1.03317  | 1.0605  | 1.11209  | 1.0694  | 1.07729       | 1.09908    | 1.14917    | 1.06883  | 1.07619        | 1.1129       | 1                        | 1.08131 | 1.08024  | 1.06907 | 1.1464       | 1.05088     | 1.14392      | 1.06886        | 1.13208      | 1.08361   | 1.08041 | 1.12395 | 1.11063 | 1              | 1.09555  | 1.06482    | 1.14894       | 1.07339   | 1.06952"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "prior_to(get_rates(cases), 7)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "prior_to(get_rates(cases), 14).top(20).oplot(height=6, width=8)\n",
    "_ = plots.xticks(rotation=90)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "_ = plots.hist(get_rates(cases).take[-1].row(0)[1:], bins=20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "def best_rate(ts, n):\n",
    "    rates = prior_to(get_rates(ts), 7).order_cols()\n",
    "    best = rates.labels[-n:]\n",
    "    return rates.extract(best)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>date</th> <th>Massachusetts</th> <th>Washington</th> <th>Montana</th> <th>Hawaii</th> <th>Georgia</th> <th>Puerto Rico</th> <th>Louisiana</th> <th>Missouri</th> <th>Maine</th> <th>Idaho</th> <th>Northern Mariana Islands</th> <th>Virgin Islands</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>2020-03-29</td> <td>1.16397      </td> <td>1.1357    </td> <td>1.09524</td> <td>1.15894</td> <td>1.09644</td> <td>1.27       </td> <td>1.06787  </td> <td>1.07757 </td> <td>1.19905</td> <td>1.18774</td> <td>1                       </td> <td>1.21053       </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-03-30</td> <td>1.16085      </td> <td>1.0578    </td> <td>1.09938</td> <td>1.16571</td> <td>1.13008</td> <td>1.37008    </td> <td>1.13701  </td> <td>1.16279 </td> <td>1.08696</td> <td>1.33871</td> <td>1                       </td> <td>1.30435       </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-03-31</td> <td>1.1509       </td> <td>1.02182   </td> <td>1.11864</td> <td>1.09804</td> <td>1.35785</td> <td>1.37356    </td> <td>1.30112  </td> <td>1.28667 </td> <td>1.10182</td> <td>1.26747</td> <td>1                       </td> <td>1             </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-01</td> <td>1.16888      </td> <td>1.05593   </td> <td>1.09596</td> <td>1.15179</td> <td>1.15327</td> <td>1.19665    </td> <td>1.22666  </td> <td>1.17024 </td> <td>1.13531</td> <td>1.27186</td> <td>3                       </td> <td>1             </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-02</td> <td>1.1587       </td> <td>1.17842   </td> <td>1.1106 </td> <td>1.0969 </td> <td>1.14659</td> <td>1.1049     </td> <td>1.42435  </td> <td>1.16003 </td> <td>1.09302</td> <td>1.33184</td> <td>1.33333                 </td> <td>1.23333       </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-03</td> <td>1.16016      </td> <td>1.05786   </td> <td>1.08714</td> <td>1.12014</td> <td>1.09607</td> <td>1.1962     </td> <td>1.12536  </td> <td>1.15213 </td> <td>1.14894</td> <td>1.13692</td> <td>1                       </td> <td>1.02703       </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-04</td> <td>1.12824      </td> <td>1.07637   </td> <td>1.07252</td> <td>1.10095</td> <td>1.06972</td> <td>1.19577    </td> <td>1.21356  </td> <td>1.08424 </td> <td>1.05556</td> <td>1.06318</td> <td>1                       </td> <td>1.10526       </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>2020-04-05</td> <td>1.0651       </td> <td>1.06482   </td> <td>1.0605 </td> <td>1.05731</td> <td>1.05624</td> <td>1.05088    </td> <td>1.04113  </td> <td>1.03317 </td> <td>1.0307 </td> <td>1.02228</td> <td>1                       </td> <td>1             </td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "date       | Massachusetts | Washington | Montana | Hawaii  | Georgia | Puerto Rico | Louisiana | Missouri | Maine   | Idaho   | Northern Mariana Islands | Virgin Islands\n",
       "2020-03-29 | 1.16397       | 1.1357     | 1.09524 | 1.15894 | 1.09644 | 1.27        | 1.06787   | 1.07757  | 1.19905 | 1.18774 | 1                        | 1.21053\n",
       "2020-03-30 | 1.16085       | 1.0578     | 1.09938 | 1.16571 | 1.13008 | 1.37008     | 1.13701   | 1.16279  | 1.08696 | 1.33871 | 1                        | 1.30435\n",
       "2020-03-31 | 1.1509        | 1.02182    | 1.11864 | 1.09804 | 1.35785 | 1.37356     | 1.30112   | 1.28667  | 1.10182 | 1.26747 | 1                        | 1\n",
       "2020-04-01 | 1.16888       | 1.05593    | 1.09596 | 1.15179 | 1.15327 | 1.19665     | 1.22666   | 1.17024  | 1.13531 | 1.27186 | 3                        | 1\n",
       "2020-04-02 | 1.1587        | 1.17842    | 1.1106  | 1.0969  | 1.14659 | 1.1049      | 1.42435   | 1.16003  | 1.09302 | 1.33184 | 1.33333                  | 1.23333\n",
       "2020-04-03 | 1.16016       | 1.05786    | 1.08714 | 1.12014 | 1.09607 | 1.1962      | 1.12536   | 1.15213  | 1.14894 | 1.13692 | 1                        | 1.02703\n",
       "2020-04-04 | 1.12824       | 1.07637    | 1.07252 | 1.10095 | 1.06972 | 1.19577     | 1.21356   | 1.08424  | 1.05556 | 1.06318 | 1                        | 1.10526\n",
       "2020-04-05 | 1.0651        | 1.06482    | 1.0605  | 1.05731 | 1.05624 | 1.05088     | 1.04113   | 1.03317  | 1.0307  | 1.02228 | 1                        | 1"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_rate(cases, 12)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_new(trend, region):\n",
    "    return trend['new ' + region][-1]\n",
    "\n",
    "def get_rate(trend, region):\n",
    "    return trend['rate ' + region][-1]\n",
    "\n",
    "def get_val(trend, region):\n",
    "    return trend[region][-1]\n",
    "\n",
    "def summary(ts, name, regions):\n",
    "    trend = ts.trend()\n",
    "    smry = Table().with_columns(\n",
    "        name, regions,\n",
    "        'current', [get_val(trend, r) for r in regions],\n",
    "        'new',  [get_new(trend, r) for r in regions],\n",
    "        'rate', [get_rate(trend, r) for r in regions]\n",
    "    )\n",
    "    return smry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "case_sum = summary(cases, 'state', states)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table border=\"1\" class=\"dataframe\">\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>state</th> <th>current</th> <th>new</th> <th>rate</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Alabama             </td> <td>1841   </td> <td>208 </td> <td>1.12737</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Alaska              </td> <td>185    </td> <td>16  </td> <td>1.09467</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Arizona             </td> <td>2269   </td> <td>250 </td> <td>1.12382</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Arkansas            </td> <td>853    </td> <td>110 </td> <td>1.14805</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>California          </td> <td>15076  </td> <td>1280</td> <td>1.09278</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Colorado            </td> <td>4950   </td> <td>376 </td> <td>1.0822 </td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Connecticut         </td> <td>5675   </td> <td>399 </td> <td>1.07563</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Delaware            </td> <td>673    </td> <td>80  </td> <td>1.13491</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>District of Columbia</td> <td>998    </td> <td>96  </td> <td>1.10643</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Florida             </td> <td>12342  </td> <td>805 </td> <td>1.06978</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>\n",
       "<p>... (45 rows omitted)</p>"
      ],
      "text/plain": [
       "state                | current | new  | rate\n",
       "Alabama              | 1841    | 208  | 1.12737\n",
       "Alaska               | 185     | 16   | 1.09467\n",
       "Arizona              | 2269    | 250  | 1.12382\n",
       "Arkansas             | 853     | 110  | 1.14805\n",
       "California           | 15076   | 1280 | 1.09278\n",
       "Colorado             | 4950    | 376  | 1.0822\n",
       "Connecticut          | 5675    | 399  | 1.07563\n",
       "Delaware             | 673     | 80   | 1.13491\n",
       "District of Columbia | 998     | 96   | 1.10643\n",
       "Florida              | 12342   | 805  | 1.06978\n",
       "... (45 rows omitted)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "case_sum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "case_sum.scatter('current', 'rate')"
   ]
  }
 ],
 "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",
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