read_store_forecasts.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "library(covidHubUtils)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_token(): POST: https://zoltardata.com/api-token-auth/\n",
      "\n",
      "get_resource(): GET: https://zoltardata.com/api/projects/\n",
      "\n",
      "get_resource(): GET: https://zoltardata.com/api/project/44/timezeros/\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "polling for status change. job_url=https://zoltardata.com/api/job/50817/\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_resource(): GET: https://zoltardata.com/api/job/50817/\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "QUEUED\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_resource(): GET: https://zoltardata.com/api/job/50817/\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SUCCESS\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_resource(): GET: https://zoltardata.com/api/job/50817/data/\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Load forecasts that were submitted in a time window from zoltar\n",
    "inc_case_targets <- paste(1:4, \"wk ahead inc case\")\n",
    "forecasts <- covidHubUtils::load_latest_forecasts(models = \"COVIDhub-ensemble\",\n",
    "                      last_forecast_date = Sys.Date(),\n",
    "                      forecast_date_window_size = 8,\n",
    "                      locations = \"US\",\n",
    "                      types = c(\"point\",\"quantile\"),\n",
    "                      targets = c(inc_case_targets),\n",
    "                      source = \"zoltar\",\n",
    "                      hub_repo_path = \"\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Warning message:\n",
      "“`plot_forecast()` was deprecated in covidHubUtils 0.1.5.\n",
      "Please use `plot_forecasts()` instead.\n",
      "\u001b[90mThis warning is displayed once every 8 hours.\u001b[39m\n",
      "\u001b[90mCall `lifecycle::last_warnings()` to see where this warning was generated.\u001b[39m”\n",
      "\n",
      "\u001b[36m──\u001b[39m \u001b[1m\u001b[1mColumn specification\u001b[1m\u001b[22m \u001b[36m────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\u001b[39m\n",
      "cols(\n",
      "  date = \u001b[34mcol_date(format = \"\")\u001b[39m,\n",
      "  location = \u001b[31mcol_character()\u001b[39m,\n",
      "  location_name = \u001b[31mcol_character()\u001b[39m,\n",
      "  value = \u001b[32mcol_double()\u001b[39m\n",
      ")\n",
      "\n",
      "\n",
      "Scale for 'colour' is already present. Adding another scale for 'colour',\n",
      "which will replace the existing scale.\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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xx55JExnC2ozl8acG4D7wF+H/rQh2J8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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot point forecasts with prediction intervals and without user-provided truth data\n",
    "p <- covidHubUtils::plot_forecast (forecast_data = forecasts,\n",
    "                                   models = \"COVIDhub-ensemble\",\n",
    "                                   target_variable = \"inc case\",\n",
    "                                   locations = \"US\",\n",
    "                                   intervals = c(.5, .8, .95),\n",
    "                                   horizon = 4,\n",
    "                                   truth_source = \"JHU\",\n",
    "                                   plot = TRUE,\n",
    "                                   truth_as_of = NULL,\n",
    "                                   title = \"default\", \n",
    "                                   show_caption = TRUE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "\u001b[36m──\u001b[39m \u001b[1m\u001b[1mColumn specification\u001b[1m\u001b[22m \u001b[36m────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────\u001b[39m\n",
      "cols(\n",
      "  date = \u001b[34mcol_date(format = \"\")\u001b[39m,\n",
      "  location = \u001b[31mcol_character()\u001b[39m,\n",
      "  location_name = \u001b[31mcol_character()\u001b[39m,\n",
      "  value = \u001b[32mcol_double()\u001b[39m\n",
      ")\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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TPBhPAY16fmVeGF9ogpqt6eaI95ptlajbi/F5myf1EV589C3ysum8afbW8XnAlE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",
      "text/plain": [
       "plot without title"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot point forecasts only and without user-provided truth data\n",
    "covidHubUtils::plot_forecast (forecast_data = forecasts,\n",
    "                              models = \"COVIDhub-ensemble\",\n",
    "                              target_variable = \"inc case\",\n",
    "                              locations = \"US\",\n",
    "                              intervals = NULL,\n",
    "                              horizon = 3,\n",
    "                              truth_source = \"JHU\",\n",
    "                              plot = TRUE,\n",
    "                              truth_as_of = NULL,\n",
    "                              title = \"default\", \n",
    "                              show_caption = TRUE)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_token(): POST: https://zoltardata.com/api-token-auth/\n",
      "\n",
      "get_resource(): GET: https://zoltardata.com/api/projects/\n",
      "\n",
      "get_resource(): GET: https://zoltardata.com/api/project/44/timezeros/\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "polling for status change. job_url=https://zoltardata.com/api/job/50818/\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_resource(): GET: https://zoltardata.com/api/job/50818/\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "QUEUED\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_resource(): GET: https://zoltardata.com/api/job/50818/\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "QUEUED\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_resource(): GET: https://zoltardata.com/api/job/50818/\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SUCCESS\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_resource(): GET: https://zoltardata.com/api/job/50818/data/\n",
      "\n"
     ]
    }
   ],
   "source": [
    "inc_case_targets <- paste(1:4, \"wk ahead inc case\")\n",
    "forecasts <- covidHubUtils::load_latest_forecasts(models = \"COVIDhub-ensemble\",\n",
    "                      last_forecast_date = Sys.Date(),\n",
    "                      forecast_date_window_size = 8,\n",
    "                      locations = \"US\",\n",
    "                      types = c(\"point\",\"quantile\"),\n",
    "                      targets = c(inc_case_targets),\n",
    "                      source = \"zoltar\",\n",
    "                      hub_repo_path = \"\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Read incident deaths and store them in specified path"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_token(): POST: https://zoltardata.com/api-token-auth/\n",
      "\n",
      "get_resource(): GET: https://zoltardata.com/api/projects/\n",
      "\n",
      "get_resource(): GET: https://zoltardata.com/api/project/44/timezeros/\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "polling for status change. job_url=https://zoltardata.com/api/job/50828/\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_resource(): GET: https://zoltardata.com/api/job/50828/\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "QUEUED\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_resource(): GET: https://zoltardata.com/api/job/50828/\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "QUEUED\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_resource(): GET: https://zoltardata.com/api/job/50828/\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "QUEUED\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_resource(): GET: https://zoltardata.com/api/job/50828/\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "QUEUED\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_resource(): GET: https://zoltardata.com/api/job/50828/\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "QUEUED\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_resource(): GET: https://zoltardata.com/api/job/50828/\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "QUEUED\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_resource(): GET: https://zoltardata.com/api/job/50828/\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "QUEUED\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_resource(): GET: https://zoltardata.com/api/job/50828/\n",
      "\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "SUCCESS\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "get_resource(): GET: https://zoltardata.com/api/job/50828/data/\n",
      "\n"
     ]
    }
   ],
   "source": [
    "target_end_dates <- lubridate::ymd(20200504) + seq(7, 7*40, 7)\n",
    "inc_case_targets <- paste(0:28, \"day ahead inc death\")\n",
    "\n",
    "forecasts <- covidHubUtils::load_latest_forecasts(\n",
    "                      last_forecast_date = target_end_dates,\n",
    "                      types = c(\"point\",\"quantile\"),\n",
    "                      locations = \"US\",\n",
    "                      targets = c(inc_case_targets),\n",
    "                      source = \"zoltar\",\n",
    "                      hub_repo_path = \"\")\n",
    "\n",
    "path_to_save = '/Users/chaosdonkey06/Dropbox/BIOMAC/EnsembleForecast'\n",
    "write.csv(forecasts, file.path(path_to_save, paste(\"forecast_deaths_all\", \".csv\", sep=\"\")), row.names=FALSE)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<caption>A tibble: 4116 × 15</caption>\n",
       "<thead>\n",
       "\t<tr><th scope=col>model</th><th scope=col>forecast_date</th><th scope=col>location</th><th scope=col>horizon</th><th scope=col>temporal_resolution</th><th scope=col>target_variable</th><th scope=col>target_end_date</th><th scope=col>type</th><th scope=col>quantile</th><th scope=col>value</th><th scope=col>location_name</th><th scope=col>population</th><th scope=col>geo_type</th><th scope=col>geo_value</th><th scope=col>abbreviation</th></tr>\n",
       "\t<tr><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;date&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;date&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;dbl&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;int&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th><th scope=col>&lt;chr&gt;</th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "\t<tr><td>Geneva-DetGrowth</td><td>2020-06-01</td><td>US</td><td>1 </td><td>day</td><td>inc death</td><td>2020-06-02</td><td>point</td><td>NA</td><td>786.0000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>Geneva-DetGrowth</td><td>2020-06-01</td><td>US</td><td>2 </td><td>day</td><td>inc death</td><td>2020-06-03</td><td>point</td><td>NA</td><td>786.0000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>Geneva-DetGrowth</td><td>2020-06-01</td><td>US</td><td>3 </td><td>day</td><td>inc death</td><td>2020-06-04</td><td>point</td><td>NA</td><td>786.0000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>Geneva-DetGrowth</td><td>2020-06-01</td><td>US</td><td>4 </td><td>day</td><td>inc death</td><td>2020-06-05</td><td>point</td><td>NA</td><td>786.0000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>Geneva-DetGrowth</td><td>2020-06-01</td><td>US</td><td>5 </td><td>day</td><td>inc death</td><td>2020-06-06</td><td>point</td><td>NA</td><td>786.0000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>Geneva-DetGrowth</td><td>2020-06-01</td><td>US</td><td>6 </td><td>day</td><td>inc death</td><td>2020-06-07</td><td>point</td><td>NA</td><td>786.0000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>Geneva-DetGrowth</td><td>2020-06-01</td><td>US</td><td>7 </td><td>day</td><td>inc death</td><td>2020-06-08</td><td>point</td><td>NA</td><td>786.0000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>1 </td><td>day</td><td>inc death</td><td>2020-06-30</td><td>point</td><td>NA</td><td>552.6135</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>10</td><td>day</td><td>inc death</td><td>2020-07-09</td><td>point</td><td>NA</td><td>591.1031</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>11</td><td>day</td><td>inc death</td><td>2020-07-10</td><td>point</td><td>NA</td><td>598.0368</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>12</td><td>day</td><td>inc death</td><td>2020-07-11</td><td>point</td><td>NA</td><td>605.3670</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>13</td><td>day</td><td>inc death</td><td>2020-07-12</td><td>point</td><td>NA</td><td>613.0699</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>14</td><td>day</td><td>inc death</td><td>2020-07-13</td><td>point</td><td>NA</td><td>618.1804</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>15</td><td>day</td><td>inc death</td><td>2020-07-14</td><td>point</td><td>NA</td><td>623.4859</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>16</td><td>day</td><td>inc death</td><td>2020-07-15</td><td>point</td><td>NA</td><td>628.9501</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>17</td><td>day</td><td>inc death</td><td>2020-07-16</td><td>point</td><td>NA</td><td>634.5451</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>18</td><td>day</td><td>inc death</td><td>2020-07-17</td><td>point</td><td>NA</td><td>640.2451</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>19</td><td>day</td><td>inc death</td><td>2020-07-18</td><td>point</td><td>NA</td><td>646.0151</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>2 </td><td>day</td><td>inc death</td><td>2020-07-01</td><td>point</td><td>NA</td><td>554.3915</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>20</td><td>day</td><td>inc death</td><td>2020-07-19</td><td>point</td><td>NA</td><td>651.8327</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>21</td><td>day</td><td>inc death</td><td>2020-07-20</td><td>point</td><td>NA</td><td>657.6727</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>22</td><td>day</td><td>inc death</td><td>2020-07-21</td><td>point</td><td>NA</td><td>663.5103</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>23</td><td>day</td><td>inc death</td><td>2020-07-22</td><td>point</td><td>NA</td><td>669.3184</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>24</td><td>day</td><td>inc death</td><td>2020-07-23</td><td>point</td><td>NA</td><td>675.0772</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>25</td><td>day</td><td>inc death</td><td>2020-07-24</td><td>point</td><td>NA</td><td>680.7670</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>26</td><td>day</td><td>inc death</td><td>2020-07-25</td><td>point</td><td>NA</td><td>686.3627</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>27</td><td>day</td><td>inc death</td><td>2020-07-26</td><td>point</td><td>NA</td><td>691.8547</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>28</td><td>day</td><td>inc death</td><td>2020-07-27</td><td>point</td><td>NA</td><td>697.2250</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>3 </td><td>day</td><td>inc death</td><td>2020-07-02</td><td>point</td><td>NA</td><td>556.8607</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>YYG-ParamSearch </td><td>2020-06-29</td><td>US</td><td>4 </td><td>day</td><td>inc death</td><td>2020-07-03</td><td>point</td><td>NA</td><td>559.9928</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>8</td><td>day</td><td>inc death</td><td>2020-07-07</td><td>quantile</td><td>0.750</td><td>661.000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>8</td><td>day</td><td>inc death</td><td>2020-07-07</td><td>quantile</td><td>0.800</td><td>675.000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>8</td><td>day</td><td>inc death</td><td>2020-07-07</td><td>quantile</td><td>0.850</td><td>688.000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>8</td><td>day</td><td>inc death</td><td>2020-07-07</td><td>quantile</td><td>0.900</td><td>708.000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>8</td><td>day</td><td>inc death</td><td>2020-07-07</td><td>quantile</td><td>0.950</td><td>736.050</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>8</td><td>day</td><td>inc death</td><td>2020-07-07</td><td>quantile</td><td>0.975</td><td>761.025</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>8</td><td>day</td><td>inc death</td><td>2020-07-07</td><td>quantile</td><td>0.990</td><td>793.010</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.010</td><td>472.990</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.025</td><td>495.000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.050</td><td>510.900</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.100</td><td>532.900</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.150</td><td>547.000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.200</td><td>559.000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.250</td><td>570.000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.300</td><td>580.700</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.350</td><td>590.650</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.400</td><td>599.600</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.450</td><td>608.550</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.500</td><td>617.500</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.550</td><td>624.450</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.600</td><td>634.000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.650</td><td>641.350</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.700</td><td>651.300</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.750</td><td>664.000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.800</td><td>677.200</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.850</td><td>693.000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.900</td><td>710.000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.950</td><td>742.050</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.975</td><td>766.050</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "\t<tr><td>UT-Mobility</td><td>2020-06-29</td><td>US</td><td>9</td><td>day</td><td>inc death</td><td>2020-07-08</td><td>quantile</td><td>0.990</td><td>812.000</td><td>United States</td><td>328728466</td><td>state</td><td>us</td><td>US</td></tr>\n",
       "</tbody>\n",
       "</table>\n"
      ],
      "text/latex": [
       "A tibble: 4116 × 15\n",
       "\\begin{tabular}{lllllllllllllll}\n",
       " model & forecast\\_date & location & horizon & temporal\\_resolution & target\\_variable & target\\_end\\_date & type & quantile & value & location\\_name & population & geo\\_type & geo\\_value & abbreviation\\\\\n",
       " <chr> & <date> & <chr> & <chr> & <chr> & <chr> & <date> & <chr> & <dbl> & <dbl> & <chr> & <int> & <chr> & <chr> & <chr>\\\\\n",
       "\\hline\n",
       "\t Geneva-DetGrowth & 2020-06-01 & US & 1  & day & inc death & 2020-06-02 & point & NA & 786.0000 & United States & 328728466 & state & us & US\\\\\n",
       "\t Geneva-DetGrowth & 2020-06-01 & US & 2  & day & inc death & 2020-06-03 & point & NA & 786.0000 & United States & 328728466 & state & us & US\\\\\n",
       "\t Geneva-DetGrowth & 2020-06-01 & US & 3  & day & inc death & 2020-06-04 & point & NA & 786.0000 & United States & 328728466 & state & us & US\\\\\n",
       "\t Geneva-DetGrowth & 2020-06-01 & US & 4  & day & inc death & 2020-06-05 & point & NA & 786.0000 & United States & 328728466 & state & us & US\\\\\n",
       "\t Geneva-DetGrowth & 2020-06-01 & US & 5  & day & inc death & 2020-06-06 & point & NA & 786.0000 & United States & 328728466 & state & us & US\\\\\n",
       "\t Geneva-DetGrowth & 2020-06-01 & US & 6  & day & inc death & 2020-06-07 & point & NA & 786.0000 & United States & 328728466 & state & us & US\\\\\n",
       "\t Geneva-DetGrowth & 2020-06-01 & US & 7  & day & inc death & 2020-06-08 & point & NA & 786.0000 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 1  & day & inc death & 2020-06-30 & point & NA & 552.6135 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 10 & day & inc death & 2020-07-09 & point & NA & 591.1031 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 11 & day & inc death & 2020-07-10 & point & NA & 598.0368 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 12 & day & inc death & 2020-07-11 & point & NA & 605.3670 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 13 & day & inc death & 2020-07-12 & point & NA & 613.0699 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 14 & day & inc death & 2020-07-13 & point & NA & 618.1804 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 15 & day & inc death & 2020-07-14 & point & NA & 623.4859 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 16 & day & inc death & 2020-07-15 & point & NA & 628.9501 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 17 & day & inc death & 2020-07-16 & point & NA & 634.5451 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 18 & day & inc death & 2020-07-17 & point & NA & 640.2451 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 19 & day & inc death & 2020-07-18 & point & NA & 646.0151 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 2  & day & inc death & 2020-07-01 & point & NA & 554.3915 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 20 & day & inc death & 2020-07-19 & point & NA & 651.8327 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 21 & day & inc death & 2020-07-20 & point & NA & 657.6727 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 22 & day & inc death & 2020-07-21 & point & NA & 663.5103 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 23 & day & inc death & 2020-07-22 & point & NA & 669.3184 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 24 & day & inc death & 2020-07-23 & point & NA & 675.0772 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 25 & day & inc death & 2020-07-24 & point & NA & 680.7670 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 26 & day & inc death & 2020-07-25 & point & NA & 686.3627 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 27 & day & inc death & 2020-07-26 & point & NA & 691.8547 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 28 & day & inc death & 2020-07-27 & point & NA & 697.2250 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 3  & day & inc death & 2020-07-02 & point & NA & 556.8607 & United States & 328728466 & state & us & US\\\\\n",
       "\t YYG-ParamSearch  & 2020-06-29 & US & 4  & day & inc death & 2020-07-03 & point & NA & 559.9928 & United States & 328728466 & state & us & US\\\\\n",
       "\t ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮ & ⋮\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 8 & day & inc death & 2020-07-07 & quantile & 0.750 & 661.000 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 8 & day & inc death & 2020-07-07 & quantile & 0.800 & 675.000 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 8 & day & inc death & 2020-07-07 & quantile & 0.850 & 688.000 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 8 & day & inc death & 2020-07-07 & quantile & 0.900 & 708.000 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 8 & day & inc death & 2020-07-07 & quantile & 0.950 & 736.050 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 8 & day & inc death & 2020-07-07 & quantile & 0.975 & 761.025 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 8 & day & inc death & 2020-07-07 & quantile & 0.990 & 793.010 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.010 & 472.990 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.025 & 495.000 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.050 & 510.900 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.100 & 532.900 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.150 & 547.000 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.200 & 559.000 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.250 & 570.000 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.300 & 580.700 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.350 & 590.650 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.400 & 599.600 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.450 & 608.550 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.500 & 617.500 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.550 & 624.450 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.600 & 634.000 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.650 & 641.350 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.700 & 651.300 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.750 & 664.000 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.800 & 677.200 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.850 & 693.000 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.900 & 710.000 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.950 & 742.050 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.975 & 766.050 & United States & 328728466 & state & us & US\\\\\n",
       "\t UT-Mobility & 2020-06-29 & US & 9 & day & inc death & 2020-07-08 & quantile & 0.990 & 812.000 & United States & 328728466 & state & us & US\\\\\n",
       "\\end{tabular}\n"
      ],
      "text/markdown": [
       "\n",
       "A tibble: 4116 × 15\n",
       "\n",
       "| model &lt;chr&gt; | forecast_date &lt;date&gt; | location &lt;chr&gt; | horizon &lt;chr&gt; | temporal_resolution &lt;chr&gt; | target_variable &lt;chr&gt; | target_end_date &lt;date&gt; | type &lt;chr&gt; | quantile &lt;dbl&gt; | value &lt;dbl&gt; | location_name &lt;chr&gt; | population &lt;int&gt; | geo_type &lt;chr&gt; | geo_value &lt;chr&gt; | abbreviation &lt;chr&gt; |\n",
       "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
       "| Geneva-DetGrowth | 2020-06-01 | US | 1  | day | inc death | 2020-06-02 | point | NA | 786.0000 | United States | 328728466 | state | us | US |\n",
       "| Geneva-DetGrowth | 2020-06-01 | US | 2  | day | inc death | 2020-06-03 | point | NA | 786.0000 | United States | 328728466 | state | us | US |\n",
       "| Geneva-DetGrowth | 2020-06-01 | US | 3  | day | inc death | 2020-06-04 | point | NA | 786.0000 | United States | 328728466 | state | us | US |\n",
       "| Geneva-DetGrowth | 2020-06-01 | US | 4  | day | inc death | 2020-06-05 | point | NA | 786.0000 | United States | 328728466 | state | us | US |\n",
       "| Geneva-DetGrowth | 2020-06-01 | US | 5  | day | inc death | 2020-06-06 | point | NA | 786.0000 | United States | 328728466 | state | us | US |\n",
       "| Geneva-DetGrowth | 2020-06-01 | US | 6  | day | inc death | 2020-06-07 | point | NA | 786.0000 | United States | 328728466 | state | us | US |\n",
       "| Geneva-DetGrowth | 2020-06-01 | US | 7  | day | inc death | 2020-06-08 | point | NA | 786.0000 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 1  | day | inc death | 2020-06-30 | point | NA | 552.6135 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 10 | day | inc death | 2020-07-09 | point | NA | 591.1031 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 11 | day | inc death | 2020-07-10 | point | NA | 598.0368 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 12 | day | inc death | 2020-07-11 | point | NA | 605.3670 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 13 | day | inc death | 2020-07-12 | point | NA | 613.0699 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 14 | day | inc death | 2020-07-13 | point | NA | 618.1804 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 15 | day | inc death | 2020-07-14 | point | NA | 623.4859 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 16 | day | inc death | 2020-07-15 | point | NA | 628.9501 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 17 | day | inc death | 2020-07-16 | point | NA | 634.5451 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 18 | day | inc death | 2020-07-17 | point | NA | 640.2451 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 19 | day | inc death | 2020-07-18 | point | NA | 646.0151 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 2  | day | inc death | 2020-07-01 | point | NA | 554.3915 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 20 | day | inc death | 2020-07-19 | point | NA | 651.8327 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 21 | day | inc death | 2020-07-20 | point | NA | 657.6727 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 22 | day | inc death | 2020-07-21 | point | NA | 663.5103 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 23 | day | inc death | 2020-07-22 | point | NA | 669.3184 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 24 | day | inc death | 2020-07-23 | point | NA | 675.0772 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 25 | day | inc death | 2020-07-24 | point | NA | 680.7670 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 26 | day | inc death | 2020-07-25 | point | NA | 686.3627 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 27 | day | inc death | 2020-07-26 | point | NA | 691.8547 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 28 | day | inc death | 2020-07-27 | point | NA | 697.2250 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 3  | day | inc death | 2020-07-02 | point | NA | 556.8607 | United States | 328728466 | state | us | US |\n",
       "| YYG-ParamSearch  | 2020-06-29 | US | 4  | day | inc death | 2020-07-03 | point | NA | 559.9928 | United States | 328728466 | state | us | US |\n",
       "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n",
       "| UT-Mobility | 2020-06-29 | US | 8 | day | inc death | 2020-07-07 | quantile | 0.750 | 661.000 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 8 | day | inc death | 2020-07-07 | quantile | 0.800 | 675.000 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 8 | day | inc death | 2020-07-07 | quantile | 0.850 | 688.000 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 8 | day | inc death | 2020-07-07 | quantile | 0.900 | 708.000 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 8 | day | inc death | 2020-07-07 | quantile | 0.950 | 736.050 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 8 | day | inc death | 2020-07-07 | quantile | 0.975 | 761.025 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 8 | day | inc death | 2020-07-07 | quantile | 0.990 | 793.010 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.010 | 472.990 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.025 | 495.000 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.050 | 510.900 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.100 | 532.900 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.150 | 547.000 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.200 | 559.000 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.250 | 570.000 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.300 | 580.700 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.350 | 590.650 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.400 | 599.600 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.450 | 608.550 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.500 | 617.500 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.550 | 624.450 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.600 | 634.000 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.650 | 641.350 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.700 | 651.300 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.750 | 664.000 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.800 | 677.200 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.850 | 693.000 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.900 | 710.000 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.950 | 742.050 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.975 | 766.050 | United States | 328728466 | state | us | US |\n",
       "| UT-Mobility | 2020-06-29 | US | 9 | day | inc death | 2020-07-08 | quantile | 0.990 | 812.000 | United States | 328728466 | state | us | US |\n",
       "\n"
      ],
      "text/plain": [
       "     model            forecast_date location horizon temporal_resolution\n",
       "1    Geneva-DetGrowth 2020-06-01    US       1       day                \n",
       "2    Geneva-DetGrowth 2020-06-01    US       2       day                \n",
       "3    Geneva-DetGrowth 2020-06-01    US       3       day                \n",
       "4    Geneva-DetGrowth 2020-06-01    US       4       day                \n",
       "5    Geneva-DetGrowth 2020-06-01    US       5       day                \n",
       "6    Geneva-DetGrowth 2020-06-01    US       6       day                \n",
       "7    Geneva-DetGrowth 2020-06-01    US       7       day                \n",
       "8    YYG-ParamSearch  2020-06-29    US       1       day                \n",
       "9    YYG-ParamSearch  2020-06-29    US       10      day                \n",
       "10   YYG-ParamSearch  2020-06-29    US       11      day                \n",
       "11   YYG-ParamSearch  2020-06-29    US       12      day                \n",
       "12   YYG-ParamSearch  2020-06-29    US       13      day                \n",
       "13   YYG-ParamSearch  2020-06-29    US       14      day                \n",
       "14   YYG-ParamSearch  2020-06-29    US       15      day                \n",
       "15   YYG-ParamSearch  2020-06-29    US       16      day                \n",
       "16   YYG-ParamSearch  2020-06-29    US       17      day                \n",
       "17   YYG-ParamSearch  2020-06-29    US       18      day                \n",
       "18   YYG-ParamSearch  2020-06-29    US       19      day                \n",
       "19   YYG-ParamSearch  2020-06-29    US       2       day                \n",
       "20   YYG-ParamSearch  2020-06-29    US       20      day                \n",
       "21   YYG-ParamSearch  2020-06-29    US       21      day                \n",
       "22   YYG-ParamSearch  2020-06-29    US       22      day                \n",
       "23   YYG-ParamSearch  2020-06-29    US       23      day                \n",
       "24   YYG-ParamSearch  2020-06-29    US       24      day                \n",
       "25   YYG-ParamSearch  2020-06-29    US       25      day                \n",
       "26   YYG-ParamSearch  2020-06-29    US       26      day                \n",
       "27   YYG-ParamSearch  2020-06-29    US       27      day                \n",
       "28   YYG-ParamSearch  2020-06-29    US       28      day                \n",
       "29   YYG-ParamSearch  2020-06-29    US       3       day                \n",
       "30   YYG-ParamSearch  2020-06-29    US       4       day                \n",
       "⋮    ⋮                ⋮             ⋮        ⋮       ⋮                  \n",
       "4087 UT-Mobility      2020-06-29    US       8       day                \n",
       "4088 UT-Mobility      2020-06-29    US       8       day                \n",
       "4089 UT-Mobility      2020-06-29    US       8       day                \n",
       "4090 UT-Mobility      2020-06-29    US       8       day                \n",
       "4091 UT-Mobility      2020-06-29    US       8       day                \n",
       "4092 UT-Mobility      2020-06-29    US       8       day                \n",
       "4093 UT-Mobility      2020-06-29    US       8       day                \n",
       "4094 UT-Mobility      2020-06-29    US       9       day                \n",
       "4095 UT-Mobility      2020-06-29    US       9       day                \n",
       "4096 UT-Mobility      2020-06-29    US       9       day                \n",
       "4097 UT-Mobility      2020-06-29    US       9       day                \n",
       "4098 UT-Mobility      2020-06-29    US       9       day                \n",
       "4099 UT-Mobility      2020-06-29    US       9       day                \n",
       "4100 UT-Mobility      2020-06-29    US       9       day                \n",
       "4101 UT-Mobility      2020-06-29    US       9       day                \n",
       "4102 UT-Mobility      2020-06-29    US       9       day                \n",
       "4103 UT-Mobility      2020-06-29    US       9       day                \n",
       "4104 UT-Mobility      2020-06-29    US       9       day                \n",
       "4105 UT-Mobility      2020-06-29    US       9       day                \n",
       "4106 UT-Mobility      2020-06-29    US       9       day                \n",
       "4107 UT-Mobility      2020-06-29    US       9       day                \n",
       "4108 UT-Mobility      2020-06-29    US       9       day                \n",
       "4109 UT-Mobility      2020-06-29    US       9       day                \n",
       "4110 UT-Mobility      2020-06-29    US       9       day                \n",
       "4111 UT-Mobility      2020-06-29    US       9       day                \n",
       "4112 UT-Mobility      2020-06-29    US       9       day                \n",
       "4113 UT-Mobility      2020-06-29    US       9       day                \n",
       "4114 UT-Mobility      2020-06-29    US       9       day                \n",
       "4115 UT-Mobility      2020-06-29    US       9       day                \n",
       "4116 UT-Mobility      2020-06-29    US       9       day                \n",
       "     target_variable target_end_date type     quantile value    location_name\n",
       "1    inc death       2020-06-02      point    NA       786.0000 United States\n",
       "2    inc death       2020-06-03      point    NA       786.0000 United States\n",
       "3    inc death       2020-06-04      point    NA       786.0000 United States\n",
       "4    inc death       2020-06-05      point    NA       786.0000 United States\n",
       "5    inc death       2020-06-06      point    NA       786.0000 United States\n",
       "6    inc death       2020-06-07      point    NA       786.0000 United States\n",
       "7    inc death       2020-06-08      point    NA       786.0000 United States\n",
       "8    inc death       2020-06-30      point    NA       552.6135 United States\n",
       "9    inc death       2020-07-09      point    NA       591.1031 United States\n",
       "10   inc death       2020-07-10      point    NA       598.0368 United States\n",
       "11   inc death       2020-07-11      point    NA       605.3670 United States\n",
       "12   inc death       2020-07-12      point    NA       613.0699 United States\n",
       "13   inc death       2020-07-13      point    NA       618.1804 United States\n",
       "14   inc death       2020-07-14      point    NA       623.4859 United States\n",
       "15   inc death       2020-07-15      point    NA       628.9501 United States\n",
       "16   inc death       2020-07-16      point    NA       634.5451 United States\n",
       "17   inc death       2020-07-17      point    NA       640.2451 United States\n",
       "18   inc death       2020-07-18      point    NA       646.0151 United States\n",
       "19   inc death       2020-07-01      point    NA       554.3915 United States\n",
       "20   inc death       2020-07-19      point    NA       651.8327 United States\n",
       "21   inc death       2020-07-20      point    NA       657.6727 United States\n",
       "22   inc death       2020-07-21      point    NA       663.5103 United States\n",
       "23   inc death       2020-07-22      point    NA       669.3184 United States\n",
       "24   inc death       2020-07-23      point    NA       675.0772 United States\n",
       "25   inc death       2020-07-24      point    NA       680.7670 United States\n",
       "26   inc death       2020-07-25      point    NA       686.3627 United States\n",
       "27   inc death       2020-07-26      point    NA       691.8547 United States\n",
       "28   inc death       2020-07-27      point    NA       697.2250 United States\n",
       "29   inc death       2020-07-02      point    NA       556.8607 United States\n",
       "30   inc death       2020-07-03      point    NA       559.9928 United States\n",
       "⋮    ⋮               ⋮               ⋮        ⋮        ⋮        ⋮            \n",
       "4087 inc death       2020-07-07      quantile 0.750    661.000  United States\n",
       "4088 inc death       2020-07-07      quantile 0.800    675.000  United States\n",
       "4089 inc death       2020-07-07      quantile 0.850    688.000  United States\n",
       "4090 inc death       2020-07-07      quantile 0.900    708.000  United States\n",
       "4091 inc death       2020-07-07      quantile 0.950    736.050  United States\n",
       "4092 inc death       2020-07-07      quantile 0.975    761.025  United States\n",
       "4093 inc death       2020-07-07      quantile 0.990    793.010  United States\n",
       "4094 inc death       2020-07-08      quantile 0.010    472.990  United States\n",
       "4095 inc death       2020-07-08      quantile 0.025    495.000  United States\n",
       "4096 inc death       2020-07-08      quantile 0.050    510.900  United States\n",
       "4097 inc death       2020-07-08      quantile 0.100    532.900  United States\n",
       "4098 inc death       2020-07-08      quantile 0.150    547.000  United States\n",
       "4099 inc death       2020-07-08      quantile 0.200    559.000  United States\n",
       "4100 inc death       2020-07-08      quantile 0.250    570.000  United States\n",
       "4101 inc death       2020-07-08      quantile 0.300    580.700  United States\n",
       "4102 inc death       2020-07-08      quantile 0.350    590.650  United States\n",
       "4103 inc death       2020-07-08      quantile 0.400    599.600  United States\n",
       "4104 inc death       2020-07-08      quantile 0.450    608.550  United States\n",
       "4105 inc death       2020-07-08      quantile 0.500    617.500  United States\n",
       "4106 inc death       2020-07-08      quantile 0.550    624.450  United States\n",
       "4107 inc death       2020-07-08      quantile 0.600    634.000  United States\n",
       "4108 inc death       2020-07-08      quantile 0.650    641.350  United States\n",
       "4109 inc death       2020-07-08      quantile 0.700    651.300  United States\n",
       "4110 inc death       2020-07-08      quantile 0.750    664.000  United States\n",
       "4111 inc death       2020-07-08      quantile 0.800    677.200  United States\n",
       "4112 inc death       2020-07-08      quantile 0.850    693.000  United States\n",
       "4113 inc death       2020-07-08      quantile 0.900    710.000  United States\n",
       "4114 inc death       2020-07-08      quantile 0.950    742.050  United States\n",
       "4115 inc death       2020-07-08      quantile 0.975    766.050  United States\n",
       "4116 inc death       2020-07-08      quantile 0.990    812.000  United States\n",
       "     population geo_type geo_value abbreviation\n",
       "1    328728466  state    us        US          \n",
       "2    328728466  state    us        US          \n",
       "3    328728466  state    us        US          \n",
       "4    328728466  state    us        US          \n",
       "5    328728466  state    us        US          \n",
       "6    328728466  state    us        US          \n",
       "7    328728466  state    us        US          \n",
       "8    328728466  state    us        US          \n",
       "9    328728466  state    us        US          \n",
       "10   328728466  state    us        US          \n",
       "11   328728466  state    us        US          \n",
       "12   328728466  state    us        US          \n",
       "13   328728466  state    us        US          \n",
       "14   328728466  state    us        US          \n",
       "15   328728466  state    us        US          \n",
       "16   328728466  state    us        US          \n",
       "17   328728466  state    us        US          \n",
       "18   328728466  state    us        US          \n",
       "19   328728466  state    us        US          \n",
       "20   328728466  state    us        US          \n",
       "21   328728466  state    us        US          \n",
       "22   328728466  state    us        US          \n",
       "23   328728466  state    us        US          \n",
       "24   328728466  state    us        US          \n",
       "25   328728466  state    us        US          \n",
       "26   328728466  state    us        US          \n",
       "27   328728466  state    us        US          \n",
       "28   328728466  state    us        US          \n",
       "29   328728466  state    us        US          \n",
       "30   328728466  state    us        US          \n",
       "⋮    ⋮          ⋮        ⋮         ⋮           \n",
       "4087 328728466  state    us        US          \n",
       "4088 328728466  state    us        US          \n",
       "4089 328728466  state    us        US          \n",
       "4090 328728466  state    us        US          \n",
       "4091 328728466  state    us        US          \n",
       "4092 328728466  state    us        US          \n",
       "4093 328728466  state    us        US          \n",
       "4094 328728466  state    us        US          \n",
       "4095 328728466  state    us        US          \n",
       "4096 328728466  state    us        US          \n",
       "4097 328728466  state    us        US          \n",
       "4098 328728466  state    us        US          \n",
       "4099 328728466  state    us        US          \n",
       "4100 328728466  state    us        US          \n",
       "4101 328728466  state    us        US          \n",
       "4102 328728466  state    us        US          \n",
       "4103 328728466  state    us        US          \n",
       "4104 328728466  state    us        US          \n",
       "4105 328728466  state    us        US          \n",
       "4106 328728466  state    us        US          \n",
       "4107 328728466  state    us        US          \n",
       "4108 328728466  state    us        US          \n",
       "4109 328728466  state    us        US          \n",
       "4110 328728466  state    us        US          \n",
       "4111 328728466  state    us        US          \n",
       "4112 328728466  state    us        US          \n",
       "4113 328728466  state    us        US          \n",
       "4114 328728466  state    us        US          \n",
       "4115 328728466  state    us        US          \n",
       "4116 328728466  state    us        US          "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "forecasts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
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     "data": {
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       "<style>\n",
       ".list-inline {list-style: none; margin:0; padding: 0}\n",
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       "</style>\n",
       "<ol class=list-inline><li><time datetime=\"2020-05-11\">2020-05-11</time></li><li><time datetime=\"2020-05-18\">2020-05-18</time></li><li><time datetime=\"2020-05-25\">2020-05-25</time></li><li><time datetime=\"2020-06-01\">2020-06-01</time></li><li><time datetime=\"2020-06-08\">2020-06-08</time></li><li><time datetime=\"2020-06-15\">2020-06-15</time></li><li><time datetime=\"2020-06-22\">2020-06-22</time></li><li><time datetime=\"2020-06-29\">2020-06-29</time></li><li><time datetime=\"2020-07-06\">2020-07-06</time></li><li><time datetime=\"2020-07-13\">2020-07-13</time></li><li><time datetime=\"2020-07-20\">2020-07-20</time></li><li><time datetime=\"2020-07-27\">2020-07-27</time></li><li><time datetime=\"2020-08-03\">2020-08-03</time></li><li><time datetime=\"2020-08-10\">2020-08-10</time></li><li><time datetime=\"2020-08-17\">2020-08-17</time></li><li><time datetime=\"2020-08-24\">2020-08-24</time></li><li><time datetime=\"2020-08-31\">2020-08-31</time></li><li><time datetime=\"2020-09-07\">2020-09-07</time></li><li><time datetime=\"2020-09-14\">2020-09-14</time></li><li><time datetime=\"2020-09-21\">2020-09-21</time></li><li><time datetime=\"2020-09-28\">2020-09-28</time></li><li><time datetime=\"2020-10-05\">2020-10-05</time></li><li><time datetime=\"2020-10-12\">2020-10-12</time></li><li><time datetime=\"2020-10-19\">2020-10-19</time></li><li><time datetime=\"2020-10-26\">2020-10-26</time></li><li><time datetime=\"2020-11-02\">2020-11-02</time></li><li><time datetime=\"2020-11-09\">2020-11-09</time></li><li><time datetime=\"2020-11-16\">2020-11-16</time></li><li><time datetime=\"2020-11-23\">2020-11-23</time></li><li><time datetime=\"2020-11-30\">2020-11-30</time></li><li><time datetime=\"2020-12-07\">2020-12-07</time></li><li><time datetime=\"2020-12-14\">2020-12-14</time></li><li><time datetime=\"2020-12-21\">2020-12-21</time></li><li><time datetime=\"2020-12-28\">2020-12-28</time></li><li><time datetime=\"2021-01-04\">2021-01-04</time></li><li><time datetime=\"2021-01-11\">2021-01-11</time></li><li><time datetime=\"2021-01-18\">2021-01-18</time></li><li><time datetime=\"2021-01-25\">2021-01-25</time></li><li><time datetime=\"2021-02-01\">2021-02-01</time></li><li><time datetime=\"2021-02-08\">2021-02-08</time></li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 2020-05-11\n",
       "\\item 2020-05-18\n",
       "\\item 2020-05-25\n",
       "\\item 2020-06-01\n",
       "\\item 2020-06-08\n",
       "\\item 2020-06-15\n",
       "\\item 2020-06-22\n",
       "\\item 2020-06-29\n",
       "\\item 2020-07-06\n",
       "\\item 2020-07-13\n",
       "\\item 2020-07-20\n",
       "\\item 2020-07-27\n",
       "\\item 2020-08-03\n",
       "\\item 2020-08-10\n",
       "\\item 2020-08-17\n",
       "\\item 2020-08-24\n",
       "\\item 2020-08-31\n",
       "\\item 2020-09-07\n",
       "\\item 2020-09-14\n",
       "\\item 2020-09-21\n",
       "\\item 2020-09-28\n",
       "\\item 2020-10-05\n",
       "\\item 2020-10-12\n",
       "\\item 2020-10-19\n",
       "\\item 2020-10-26\n",
       "\\item 2020-11-02\n",
       "\\item 2020-11-09\n",
       "\\item 2020-11-16\n",
       "\\item 2020-11-23\n",
       "\\item 2020-11-30\n",
       "\\item 2020-12-07\n",
       "\\item 2020-12-14\n",
       "\\item 2020-12-21\n",
       "\\item 2020-12-28\n",
       "\\item 2021-01-04\n",
       "\\item 2021-01-11\n",
       "\\item 2021-01-18\n",
       "\\item 2021-01-25\n",
       "\\item 2021-02-01\n",
       "\\item 2021-02-08\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 2020-05-11\n",
       "2. 2020-05-18\n",
       "3. 2020-05-25\n",
       "4. 2020-06-01\n",
       "5. 2020-06-08\n",
       "6. 2020-06-15\n",
       "7. 2020-06-22\n",
       "8. 2020-06-29\n",
       "9. 2020-07-06\n",
       "10. 2020-07-13\n",
       "11. 2020-07-20\n",
       "12. 2020-07-27\n",
       "13. 2020-08-03\n",
       "14. 2020-08-10\n",
       "15. 2020-08-17\n",
       "16. 2020-08-24\n",
       "17. 2020-08-31\n",
       "18. 2020-09-07\n",
       "19. 2020-09-14\n",
       "20. 2020-09-21\n",
       "21. 2020-09-28\n",
       "22. 2020-10-05\n",
       "23. 2020-10-12\n",
       "24. 2020-10-19\n",
       "25. 2020-10-26\n",
       "26. 2020-11-02\n",
       "27. 2020-11-09\n",
       "28. 2020-11-16\n",
       "29. 2020-11-23\n",
       "30. 2020-11-30\n",
       "31. 2020-12-07\n",
       "32. 2020-12-14\n",
       "33. 2020-12-21\n",
       "34. 2020-12-28\n",
       "35. 2021-01-04\n",
       "36. 2021-01-11\n",
       "37. 2021-01-18\n",
       "38. 2021-01-25\n",
       "39. 2021-02-01\n",
       "40. 2021-02-08\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       " [1] \"2020-05-11\" \"2020-05-18\" \"2020-05-25\" \"2020-06-01\" \"2020-06-08\"\n",
       " [6] \"2020-06-15\" \"2020-06-22\" \"2020-06-29\" \"2020-07-06\" \"2020-07-13\"\n",
       "[11] \"2020-07-20\" \"2020-07-27\" \"2020-08-03\" \"2020-08-10\" \"2020-08-17\"\n",
       "[16] \"2020-08-24\" \"2020-08-31\" \"2020-09-07\" \"2020-09-14\" \"2020-09-21\"\n",
       "[21] \"2020-09-28\" \"2020-10-05\" \"2020-10-12\" \"2020-10-19\" \"2020-10-26\"\n",
       "[26] \"2020-11-02\" \"2020-11-09\" \"2020-11-16\" \"2020-11-23\" \"2020-11-30\"\n",
       "[31] \"2020-12-07\" \"2020-12-14\" \"2020-12-21\" \"2020-12-28\" \"2021-01-04\"\n",
       "[36] \"2021-01-11\" \"2021-01-18\" \"2021-01-25\" \"2021-02-01\" \"2021-02-08\""
      ]
     },
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     "output_type": "display_data"
    }
   ],
   "source": [
    "target_end_dates"
   ]
  },
  {
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   "execution_count": 76,
   "metadata": {},
   "outputs": [
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     "data": {
      "text/html": [
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       "</style>\n",
       "<ol class=list-inline><li><time datetime=\"2020-06-01\">2020-06-01</time></li><li><time datetime=\"2020-06-29\">2020-06-29</time></li></ol>\n"
      ],
      "text/latex": [
       "\\begin{enumerate*}\n",
       "\\item 2020-06-01\n",
       "\\item 2020-06-29\n",
       "\\end{enumerate*}\n"
      ],
      "text/markdown": [
       "1. 2020-06-01\n",
       "2. 2020-06-29\n",
       "\n",
       "\n"
      ],
      "text/plain": [
       "[1] \"2020-06-01\" \"2020-06-29\""
      ]
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     "metadata": {},
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    }
   ],
   "source": [
    "unique(forecasts$forecast_date)"
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