diff --git a/forecasting/total_cases.ipynb b/forecasting/total_cases.ipynb
index 9ae30067b95add4bb5fb5a7226254cbf396f6608..f4a621111ea5d5562f3048305ae622834f7a290c 100644
--- a/forecasting/total_cases.ipynb
+++ b/forecasting/total_cases.ipynb
@@ -2,7 +2,7 @@
"cells": [
{
"cell_type": "code",
- "execution_count": 8,
+ "execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
@@ -12,7 +12,7 @@
},
{
"cell_type": "code",
- "execution_count": 4,
+ "execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
@@ -21,421 +21,7 @@
},
{
"cell_type": "code",
- "execution_count": 5,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<table>\n",
- "<caption>A data.table: 249 × 70</caption>\n",
- "<thead>\n",
- "\t<tr><th scope=col>Province/State</th><th scope=col>Country/Region</th><th scope=col>Lat</th><th scope=col>Long</th><th scope=col>1/22/20</th><th scope=col>1/23/20</th><th scope=col>1/24/20</th><th scope=col>1/25/20</th><th scope=col>1/26/20</th><th scope=col>1/27/20</th><th scope=col>⋯</th><th scope=col>3/18/20</th><th scope=col>3/19/20</th><th scope=col>3/20/20</th><th scope=col>3/21/20</th><th scope=col>3/22/20</th><th scope=col>3/23/20</th><th scope=col>3/24/20</th><th scope=col>3/25/20</th><th scope=col>3/26/20</th><th scope=col>3/27/20</th></tr>\n",
- "\t<tr><th scope=col><chr></th><th scope=col><chr></th><th scope=col><dbl></th><th scope=col><dbl></th><th scope=col><int></th><th scope=col><int></th><th scope=col><int></th><th scope=col><int></th><th scope=col><int></th><th scope=col><int></th><th scope=col>⋯</th><th scope=col><int></th><th scope=col><int></th><th scope=col><int></th><th scope=col><int></th><th scope=col><int></th><th scope=col><int></th><th scope=col><int></th><th scope=col><int></th><th scope=col><int></th><th scope=col><int></th></tr>\n",
- "</thead>\n",
- "<tbody>\n",
- "\t<tr><td> </td><td>Afghanistan </td><td> 33.0000</td><td> 65.0000</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 22</td><td> 22</td><td> 24</td><td> 24</td><td> 40</td><td> 40</td><td> 74</td><td> 84</td><td> 94</td><td> 110</td></tr>\n",
- "\t<tr><td> </td><td>Albania </td><td> 41.1533</td><td> 20.1683</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 59</td><td> 64</td><td> 70</td><td> 76</td><td> 89</td><td> 104</td><td> 123</td><td> 146</td><td> 174</td><td> 186</td></tr>\n",
- "\t<tr><td> </td><td>Algeria </td><td> 28.0339</td><td> 1.6596</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 74</td><td> 87</td><td> 90</td><td> 139</td><td> 201</td><td> 230</td><td> 264</td><td> 302</td><td> 367</td><td> 409</td></tr>\n",
- "\t<tr><td> </td><td>Andorra </td><td> 42.5063</td><td> 1.5218</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 39</td><td> 53</td><td> 75</td><td> 88</td><td> 113</td><td> 133</td><td> 164</td><td> 188</td><td> 224</td><td> 267</td></tr>\n",
- "\t<tr><td> </td><td>Angola </td><td>-11.2027</td><td> 17.8739</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 1</td><td> 2</td><td> 2</td><td> 3</td><td> 3</td><td> 3</td><td> 4</td><td> 4</td></tr>\n",
- "\t<tr><td> </td><td>Antigua and Barbuda </td><td> 17.0608</td><td>-61.7964</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 1</td><td> 1</td><td> 1</td><td> 1</td><td> 1</td><td> 3</td><td> 3</td><td> 3</td><td> 7</td><td> 7</td></tr>\n",
- "\t<tr><td> </td><td>Argentina </td><td>-38.4161</td><td>-63.6167</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 79</td><td> 97</td><td> 128</td><td> 158</td><td> 266</td><td> 301</td><td> 387</td><td> 387</td><td> 502</td><td> 589</td></tr>\n",
- "\t<tr><td> </td><td>Armenia </td><td> 40.0691</td><td> 45.0382</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 84</td><td> 115</td><td> 136</td><td> 160</td><td> 194</td><td> 235</td><td> 249</td><td> 265</td><td> 290</td><td> 329</td></tr>\n",
- "\t<tr><td>Australian Capital Territory</td><td>Australia </td><td>-35.4735</td><td>149.0124</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 3</td><td> 4</td><td> 6</td><td> 9</td><td> 19</td><td> 32</td><td> 39</td><td> 39</td><td> 53</td><td> 62</td></tr>\n",
- "\t<tr><td>New South Wales </td><td>Australia </td><td>-33.8688</td><td>151.2093</td><td>0</td><td>0</td><td>0</td><td>0</td><td>3</td><td>4</td><td>⋯</td><td> 267</td><td> 307</td><td> 353</td><td> 436</td><td> 669</td><td> 669</td><td> 818</td><td>1029</td><td>1219</td><td>1405</td></tr>\n",
- "\t<tr><td>Northern Territory </td><td>Australia </td><td>-12.4634</td><td>130.8456</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 1</td><td> 1</td><td> 3</td><td> 3</td><td> 5</td><td> 5</td><td> 6</td><td> 6</td><td> 12</td><td> 12</td></tr>\n",
- "\t<tr><td>Queensland </td><td>Australia </td><td>-28.0167</td><td>153.4000</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 94</td><td> 144</td><td> 184</td><td> 221</td><td> 259</td><td> 319</td><td> 397</td><td> 443</td><td> 493</td><td> 555</td></tr>\n",
- "\t<tr><td>South Australia </td><td>Australia </td><td>-34.9285</td><td>138.6007</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 37</td><td> 42</td><td> 50</td><td> 67</td><td> 100</td><td> 134</td><td> 170</td><td> 170</td><td> 235</td><td> 257</td></tr>\n",
- "\t<tr><td>Tasmania </td><td>Australia </td><td>-41.4545</td><td>145.9707</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 10</td><td> 10</td><td> 10</td><td> 16</td><td> 22</td><td> 28</td><td> 28</td><td> 36</td><td> 47</td><td> 47</td></tr>\n",
- "\t<tr><td>Victoria </td><td>Australia </td><td>-37.8136</td><td>144.9631</td><td>0</td><td>0</td><td>0</td><td>0</td><td>1</td><td>1</td><td>⋯</td><td> 121</td><td> 121</td><td> 121</td><td> 229</td><td> 355</td><td> 355</td><td> 411</td><td> 466</td><td> 520</td><td> 574</td></tr>\n",
- "\t<tr><td>Western Australia </td><td>Australia </td><td>-31.9505</td><td>115.8605</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 35</td><td> 52</td><td> 64</td><td> 90</td><td> 120</td><td> 140</td><td> 175</td><td> 175</td><td> 231</td><td> 231</td></tr>\n",
- "\t<tr><td> </td><td>Austria </td><td> 47.5162</td><td> 14.5501</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td>1646</td><td>2013</td><td>2388</td><td>2814</td><td>3582</td><td>4474</td><td>5283</td><td>5588</td><td>6909</td><td>7657</td></tr>\n",
- "\t<tr><td> </td><td>Azerbaijan </td><td> 40.1431</td><td> 47.5769</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 28</td><td> 44</td><td> 44</td><td> 53</td><td> 65</td><td> 72</td><td> 87</td><td> 93</td><td> 122</td><td> 165</td></tr>\n",
- "\t<tr><td> </td><td>Bahamas </td><td> 25.0343</td><td>-77.3963</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 1</td><td> 3</td><td> 3</td><td> 4</td><td> 4</td><td> 4</td><td> 5</td><td> 5</td><td> 9</td><td> 10</td></tr>\n",
- "\t<tr><td> </td><td>Bahrain </td><td> 26.0275</td><td> 50.5500</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 256</td><td> 278</td><td> 285</td><td> 305</td><td> 334</td><td> 377</td><td> 392</td><td> 419</td><td> 458</td><td> 466</td></tr>\n",
- "\t<tr><td> </td><td>Bangladesh </td><td> 23.6850</td><td> 90.3563</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 14</td><td> 17</td><td> 20</td><td> 25</td><td> 27</td><td> 33</td><td> 39</td><td> 39</td><td> 44</td><td> 48</td></tr>\n",
- "\t<tr><td> </td><td>Barbados </td><td> 13.1939</td><td>-59.5432</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 2</td><td> 5</td><td> 5</td><td> 6</td><td> 14</td><td> 17</td><td> 18</td><td> 18</td><td> 18</td><td> 24</td></tr>\n",
- "\t<tr><td> </td><td>Belarus </td><td> 53.7098</td><td> 27.9534</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 51</td><td> 51</td><td> 69</td><td> 76</td><td> 76</td><td> 81</td><td> 81</td><td> 86</td><td> 86</td><td> 94</td></tr>\n",
- "\t<tr><td> </td><td>Belgium </td><td> 50.8333</td><td> 4.0000</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td>1486</td><td>1795</td><td>2257</td><td>2815</td><td>3401</td><td>3743</td><td>4269</td><td>4937</td><td>6235</td><td>7284</td></tr>\n",
- "\t<tr><td> </td><td>Benin </td><td> 9.3077</td><td> 2.3158</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 2</td><td> 2</td><td> 2</td><td> 2</td><td> 2</td><td> 5</td><td> 6</td><td> 6</td><td> 6</td><td> 6</td></tr>\n",
- "\t<tr><td> </td><td>Bhutan </td><td> 27.5142</td><td> 90.4336</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 1</td><td> 1</td><td> 2</td><td> 2</td><td> 2</td><td> 2</td><td> 2</td><td> 2</td><td> 2</td><td> 3</td></tr>\n",
- "\t<tr><td> </td><td>Bolivia </td><td>-16.2902</td><td>-63.5887</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 12</td><td> 12</td><td> 15</td><td> 19</td><td> 24</td><td> 27</td><td> 29</td><td> 32</td><td> 43</td><td> 61</td></tr>\n",
- "\t<tr><td> </td><td>Bosnia and Herzegovina</td><td> 43.9159</td><td> 17.6791</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 38</td><td> 63</td><td> 89</td><td> 93</td><td> 126</td><td> 136</td><td> 166</td><td> 176</td><td> 191</td><td> 237</td></tr>\n",
- "\t<tr><td> </td><td>Brazil </td><td>-14.2350</td><td>-51.9253</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 372</td><td> 621</td><td> 793</td><td>1021</td><td>1546</td><td>1924</td><td>2247</td><td>2554</td><td>2985</td><td>3417</td></tr>\n",
- "\t<tr><td> </td><td>Brunei </td><td> 4.5353</td><td>114.7277</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 68</td><td> 75</td><td> 78</td><td> 83</td><td> 88</td><td> 91</td><td> 104</td><td> 109</td><td> 114</td><td> 115</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><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td><td>⋮</td></tr>\n",
- "\t<tr><td>Channel Islands </td><td>United Kingdom </td><td> 49.372300</td><td> -2.364400</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 6</td><td> 11</td><td> 14</td><td> 32</td><td> 32</td><td> 36</td><td> 36</td><td> 46</td><td> 66</td><td> 88</td></tr>\n",
- "\t<tr><td>Gibraltar </td><td>United Kingdom </td><td> 36.140800</td><td> -5.353600</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 8</td><td> 10</td><td> 10</td><td> 10</td><td> 15</td><td> 15</td><td> 15</td><td> 26</td><td> 35</td><td> 55</td></tr>\n",
- "\t<tr><td>Isle of Man </td><td>United Kingdom </td><td> 54.236100</td><td> -4.548100</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 1</td><td> 1</td><td> 5</td><td> 13</td><td> 23</td><td> 23</td><td> 25</td><td> 29</td></tr>\n",
- "\t<tr><td>Montserrat </td><td>United Kingdom </td><td> 16.742500</td><td> -62.187400</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 1</td><td> 1</td><td> 1</td><td> 1</td><td> 1</td><td> 1</td><td> 1</td><td> 1</td><td> 5</td><td> 5</td></tr>\n",
- "\t<tr><td> </td><td>United Kingdom </td><td> 55.378100</td><td> -3.436000</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td>2626</td><td> 2689</td><td> 3983</td><td> 5018</td><td> 5683</td><td> 6650</td><td> 8077</td><td> 9529</td><td>11658</td><td> 14543</td></tr>\n",
- "\t<tr><td> </td><td>Uruguay </td><td>-32.522800</td><td> -55.765800</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 50</td><td> 79</td><td> 94</td><td> 110</td><td> 158</td><td> 162</td><td> 162</td><td> 189</td><td> 217</td><td> 238</td></tr>\n",
- "\t<tr><td> </td><td>US </td><td> 37.090200</td><td> -95.712900</td><td>1</td><td>1</td><td>2</td><td>2</td><td>5</td><td>5</td><td>⋯</td><td>7783</td><td>13677</td><td>19100</td><td>25489</td><td>33276</td><td>43847</td><td>53740</td><td>65778</td><td>83836</td><td>101657</td></tr>\n",
- "\t<tr><td> </td><td>Uzbekistan </td><td> 41.377500</td><td> 64.585300</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 15</td><td> 23</td><td> 33</td><td> 43</td><td> 43</td><td> 46</td><td> 50</td><td> 60</td><td> 75</td><td> 88</td></tr>\n",
- "\t<tr><td> </td><td>Venezuela </td><td> 6.423800</td><td> -66.589700</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 36</td><td> 42</td><td> 42</td><td> 70</td><td> 70</td><td> 77</td><td> 84</td><td> 91</td><td> 107</td><td> 107</td></tr>\n",
- "\t<tr><td> </td><td>Vietnam </td><td> 16.000000</td><td> 108.000000</td><td>0</td><td>2</td><td>2</td><td>2</td><td>2</td><td>2</td><td>⋯</td><td> 75</td><td> 85</td><td> 91</td><td> 94</td><td> 113</td><td> 123</td><td> 134</td><td> 141</td><td> 153</td><td> 163</td></tr>\n",
- "\t<tr><td> </td><td>Zambia </td><td>-15.416700</td><td> 28.283300</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 2</td><td> 2</td><td> 2</td><td> 2</td><td> 3</td><td> 3</td><td> 3</td><td> 12</td><td> 16</td><td> 22</td></tr>\n",
- "\t<tr><td> </td><td>Zimbabwe </td><td>-20.000000</td><td> 30.000000</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 1</td><td> 3</td><td> 3</td><td> 3</td><td> 3</td><td> 3</td><td> 3</td><td> 5</td></tr>\n",
- "\t<tr><td>Diamond Princess </td><td>Canada </td><td> 0.000000</td><td> 0.000000</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td></tr>\n",
- "\t<tr><td> </td><td>Dominica </td><td> 15.415000</td><td> -61.371000</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 1</td><td> 2</td><td> 2</td><td> 7</td><td> 11</td><td> 11</td></tr>\n",
- "\t<tr><td> </td><td>Grenada </td><td> 12.116500</td><td> -61.679000</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 1</td><td> 1</td><td> 1</td><td> 1</td><td> 7</td><td> 7</td></tr>\n",
- "\t<tr><td> </td><td>Mozambique </td><td>-18.665695</td><td> 35.529562</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 1</td><td> 1</td><td> 3</td><td> 5</td><td> 7</td><td> 7</td></tr>\n",
- "\t<tr><td> </td><td>Syria </td><td> 34.802075</td><td> 38.996815</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 1</td><td> 1</td><td> 1</td><td> 5</td><td> 5</td><td> 5</td></tr>\n",
- "\t<tr><td> </td><td>Timor-Leste </td><td> -8.874217</td><td> 125.727539</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 1</td><td> 1</td><td> 1</td><td> 1</td><td> 1</td><td> 1</td></tr>\n",
- "\t<tr><td> </td><td>Belize </td><td> 13.193900</td><td> -59.543200</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 1</td><td> 1</td><td> 2</td><td> 2</td><td> 2</td></tr>\n",
- "\t<tr><td>Recovered </td><td>Canada </td><td> 0.000000</td><td> 0.000000</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td></tr>\n",
- "\t<tr><td> </td><td>Laos </td><td> 19.856270</td><td> 102.495496</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 2</td><td> 3</td><td> 6</td><td> 6</td></tr>\n",
- "\t<tr><td> </td><td>Libya </td><td> 26.335100</td><td> 17.228331</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 1</td><td> 1</td><td> 1</td><td> 1</td></tr>\n",
- "\t<tr><td> </td><td>West Bank and Gaza </td><td> 31.952200</td><td> 35.233200</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 41</td><td> 44</td><td> 47</td><td> 48</td><td> 52</td><td> 59</td><td> 59</td><td> 59</td><td> 84</td><td> 91</td></tr>\n",
- "\t<tr><td> </td><td>Guinea-Bissau </td><td> 11.803700</td><td> -15.180400</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 2</td><td> 2</td><td> 2</td></tr>\n",
- "\t<tr><td> </td><td>Mali </td><td> 17.570692</td><td> -3.996166</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 2</td><td> 4</td><td> 11</td></tr>\n",
- "\t<tr><td> </td><td>Saint Kitts and Nevis</td><td> 17.357822</td><td> -62.782998</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 2</td><td> 2</td><td> 2</td></tr>\n",
- "\t<tr><td>Northwest Territories</td><td>Canada </td><td> 64.825500</td><td>-124.845700</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 1</td><td> 1</td></tr>\n",
- "\t<tr><td>Yukon </td><td>Canada </td><td> 64.282300</td><td>-135.000000</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 3</td><td> 3</td></tr>\n",
- "\t<tr><td> </td><td>Kosovo </td><td> 42.602636</td><td> 20.902977</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 71</td><td> 86</td></tr>\n",
- "\t<tr><td> </td><td>Burma </td><td> 21.916200</td><td> 95.956000</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>0</td><td>⋯</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 0</td><td> 8</td></tr>\n",
- "</tbody>\n",
- "</table>\n"
- ],
- "text/latex": [
- "A data.table: 249 × 70\n",
- "\\begin{tabular}{r|llllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllllll}\n",
- " Province/State & Country/Region & Lat & Long & 1/22/20 & 1/23/20 & 1/24/20 & 1/25/20 & 1/26/20 & 1/27/20 & 1/28/20 & 1/29/20 & 1/30/20 & 1/31/20 & 2/1/20 & 2/2/20 & 2/3/20 & 2/4/20 & 2/5/20 & 2/6/20 & 2/7/20 & 2/8/20 & 2/9/20 & 2/10/20 & 2/11/20 & 2/12/20 & 2/13/20 & 2/14/20 & 2/15/20 & 2/16/20 & 2/17/20 & 2/18/20 & 2/19/20 & 2/20/20 & 2/21/20 & 2/22/20 & 2/23/20 & 2/24/20 & 2/25/20 & 2/26/20 & 2/27/20 & 2/28/20 & 2/29/20 & 3/1/20 & 3/2/20 & 3/3/20 & 3/4/20 & 3/5/20 & 3/6/20 & 3/7/20 & 3/8/20 & 3/9/20 & 3/10/20 & 3/11/20 & 3/12/20 & 3/13/20 & 3/14/20 & 3/15/20 & 3/16/20 & 3/17/20 & 3/18/20 & 3/19/20 & 3/20/20 & 3/21/20 & 3/22/20 & 3/23/20 & 3/24/20 & 3/25/20 & 3/26/20 & 3/27/20\\\\\n",
- " <chr> & <chr> & <dbl> & <dbl> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int> & <int>\\\\\n",
- "\\hline\n",
- "\t & Afghanistan & 33.0000 & 65.0000 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 4 & 4 & 5 & 7 & 7 & 7 & 11 & 16 & 21 & 22 & 22 & 22 & 24 & 24 & 40 & 40 & 74 & 84 & 94 & 110\\\\\n",
- "\t & Albania & 41.1533 & 20.1683 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 10 & 12 & 23 & 33 & 38 & 42 & 51 & 55 & 59 & 64 & 70 & 76 & 89 & 104 & 123 & 146 & 174 & 186\\\\\n",
- "\t & Algeria & 28.0339 & 1.6596 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 & 1 & 1 & 3 & 5 & 12 & 12 & 17 & 17 & 19 & 20 & 20 & 20 & 24 & 26 & 37 & 48 & 54 & 60 & 74 & 87 & 90 & 139 & 201 & 230 & 264 & 302 & 367 & 409\\\\\n",
- "\t & Andorra & 42.5063 & 1.5218 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 2 & 39 & 39 & 53 & 75 & 88 & 113 & 133 & 164 & 188 & 224 & 267\\\\\n",
- "\t & Angola & -11.2027 & 17.8739 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 2 & 2 & 3 & 3 & 3 & 4 & 4\\\\\n",
- "\t & Antigua and Barbuda & 17.0608 & -61.7964 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 3 & 3 & 3 & 7 & 7\\\\\n",
- "\t & Argentina & -38.4161 & -63.6167 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 2 & 8 & 12 & 12 & 17 & 19 & 19 & 31 & 34 & 45 & 56 & 68 & 79 & 97 & 128 & 158 & 266 & 301 & 387 & 387 & 502 & 589\\\\\n",
- "\t & Armenia & 40.0691 & 45.0382 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 4 & 8 & 18 & 26 & 52 & 78 & 84 & 115 & 136 & 160 & 194 & 235 & 249 & 265 & 290 & 329\\\\\n",
- "\t Australian Capital Territory & Australia & -35.4735 & 149.0124 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 2 & 2 & 3 & 4 & 6 & 9 & 19 & 32 & 39 & 39 & 53 & 62\\\\\n",
- "\t New South Wales & Australia & -33.8688 & 151.2093 & 0 & 0 & 0 & 0 & 3 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 6 & 6 & 13 & 22 & 22 & 26 & 28 & 38 & 48 & 55 & 65 & 65 & 92 & 112 & 134 & 171 & 210 & 267 & 307 & 353 & 436 & 669 & 669 & 818 & 1029 & 1219 & 1405\\\\\n",
- "\t Northern Territory & Australia & -12.4634 & 130.8456 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 3 & 3 & 5 & 5 & 6 & 6 & 12 & 12\\\\\n",
- "\t Queensland & Australia & -28.0167 & 153.4000 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 3 & 2 & 3 & 2 & 2 & 3 & 3 & 4 & 5 & 5 & 5 & 5 & 5 & 5 & 5 & 5 & 5 & 5 & 5 & 5 & 5 & 5 & 5 & 5 & 5 & 5 & 5 & 5 & 5 & 5 & 9 & 9 & 9 & 11 & 11 & 13 & 13 & 13 & 15 & 15 & 18 & 20 & 20 & 35 & 46 & 61 & 68 & 78 & 94 & 144 & 184 & 221 & 259 & 319 & 397 & 443 & 493 & 555\\\\\n",
- "\t South Australia & Australia & -34.9285 & 138.6007 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 3 & 3 & 3 & 3 & 5 & 5 & 7 & 7 & 7 & 7 & 7 & 9 & 9 & 16 & 19 & 20 & 29 & 29 & 37 & 42 & 50 & 67 & 100 & 134 & 170 & 170 & 235 & 257\\\\\n",
- "\t Tasmania & Australia & -41.4545 & 145.9707 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 & 1 & 1 & 2 & 2 & 2 & 3 & 3 & 5 & 5 & 6 & 7 & 7 & 10 & 10 & 10 & 16 & 22 & 28 & 28 & 36 & 47 & 47\\\\\n",
- "\t Victoria & Australia & -37.8136 & 144.9631 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 & 2 & 3 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 4 & 7 & 7 & 9 & 9 & 10 & 10 & 10 & 11 & 11 & 15 & 18 & 21 & 21 & 36 & 49 & 57 & 71 & 94 & 121 & 121 & 121 & 229 & 355 & 355 & 411 & 466 & 520 & 574\\\\\n",
- "\t Western Australia & Australia & -31.9505 & 115.8605 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 2 & 2 & 2 & 2 & 3 & 3 & 3 & 3 & 4 & 6 & 9 & 9 & 14 & 17 & 17 & 28 & 31 & 35 & 52 & 64 & 90 & 120 & 140 & 175 & 175 & 231 & 231\\\\\n",
- "\t & Austria & 47.5162 & 14.5501 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 2 & 3 & 3 & 9 & 14 & 18 & 21 & 29 & 41 & 55 & 79 & 104 & 131 & 182 & 246 & 302 & 504 & 655 & 860 & 1018 & 1332 & 1646 & 2013 & 2388 & 2814 & 3582 & 4474 & 5283 & 5588 & 6909 & 7657\\\\\n",
- "\t & Azerbaijan & 40.1431 & 47.5769 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 3 & 3 & 3 & 3 & 6 & 6 & 9 & 9 & 9 & 11 & 11 & 11 & 15 & 15 & 23 & 28 & 28 & 28 & 44 & 44 & 53 & 65 & 72 & 87 & 93 & 122 & 165\\\\\n",
- "\t & Bahamas & 25.0343 & -77.3963 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 3 & 3 & 4 & 4 & 4 & 5 & 5 & 9 & 10\\\\\n",
- "\t & Bahrain & 26.0275 & 50.5500 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 23 & 33 & 33 & 36 & 41 & 47 & 49 & 49 & 52 & 55 & 60 & 85 & 85 & 95 & 110 & 195 & 195 & 195 & 210 & 214 & 214 & 228 & 256 & 278 & 285 & 305 & 334 & 377 & 392 & 419 & 458 & 466\\\\\n",
- "\t & Bangladesh & 23.6850 & 90.3563 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 3 & 3 & 3 & 3 & 3 & 3 & 3 & 5 & 8 & 10 & 14 & 17 & 20 & 25 & 27 & 33 & 39 & 39 & 44 & 48\\\\\n",
- "\t & Barbados & 13.1939 & -59.5432 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 2 & 5 & 5 & 6 & 14 & 17 & 18 & 18 & 18 & 24\\\\\n",
- "\t & Belarus & 53.7098 & 27.9534 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 & 1 & 6 & 6 & 6 & 6 & 6 & 6 & 9 & 9 & 12 & 27 & 27 & 27 & 36 & 36 & 51 & 51 & 69 & 76 & 76 & 81 & 81 & 86 & 86 & 94\\\\\n",
- "\t & Belgium & 50.8333 & 4.0000 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 2 & 8 & 13 & 23 & 50 & 109 & 169 & 200 & 239 & 267 & 314 & 314 & 559 & 689 & 886 & 1058 & 1243 & 1486 & 1795 & 2257 & 2815 & 3401 & 3743 & 4269 & 4937 & 6235 & 7284\\\\\n",
- "\t & Benin & 9.3077 & 2.3158 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 2 & 2 & 2 & 2 & 2 & 5 & 6 & 6 & 6 & 6\\\\\n",
- "\t & Bhutan & 27.5142 & 90.4336 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 3\\\\\n",
- "\t & Bolivia & -16.2902 & -63.5887 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 2 & 3 & 10 & 10 & 11 & 11 & 12 & 12 & 15 & 19 & 24 & 27 & 29 & 32 & 43 & 61\\\\\n",
- "\t & Bosnia and Herzegovina & 43.9159 & 17.6791 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 2 & 3 & 3 & 3 & 5 & 7 & 11 & 13 & 18 & 24 & 25 & 26 & 38 & 63 & 89 & 93 & 126 & 136 & 166 & 176 & 191 & 237\\\\\n",
- "\t & Brazil & -14.2350 & -51.9253 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 2 & 2 & 2 & 2 & 4 & 4 & 13 & 13 & 20 & 25 & 31 & 38 & 52 & 151 & 151 & 162 & 200 & 321 & 372 & 621 & 793 & 1021 & 1546 & 1924 & 2247 & 2554 & 2985 & 3417\\\\\n",
- "\t & Brunei & 4.5353 & 114.7277 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 11 & 11 & 37 & 40 & 50 & 54 & 56 & 68 & 75 & 78 & 83 & 88 & 91 & 104 & 109 & 114 & 115\\\\\n",
- "\t â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹® & â‹®\\\\\n",
- "\t Channel Islands & United Kingdom & 49.372300 & -2.364400 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 2 & 2 & 2 & 2 & 3 & 6 & 6 & 6 & 11 & 14 & 32 & 32 & 36 & 36 & 46 & 66 & 88\\\\\n",
- "\t Gibraltar & United Kingdom & 36.140800 & -5.353600 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 3 & 8 & 10 & 10 & 10 & 15 & 15 & 15 & 26 & 35 & 55\\\\\n",
- "\t Isle of Man & United Kingdom & 54.236100 & -4.548100 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 5 & 13 & 23 & 23 & 25 & 29\\\\\n",
- "\t Montserrat & United Kingdom & 16.742500 & -62.187400 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 1 & 5 & 5\\\\\n",
- "\t & United Kingdom & 55.378100 & -3.436000 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 3 & 3 & 3 & 8 & 8 & 9 & 9 & 9 & 9 & 9 & 9 & 9 & 9 & 9 & 9 & 9 & 9 & 13 & 13 & 13 & 15 & 20 & 23 & 36 & 40 & 51 & 85 & 115 & 163 & 206 & 273 & 321 & 382 & 456 & 456 & 798 & 1140 & 1140 & 1543 & 1950 & 2626 & 2689 & 3983 & 5018 & 5683 & 6650 & 8077 & 9529 & 11658 & 14543\\\\\n",
- "\t & Uruguay & -32.522800 & -55.765800 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 4 & 4 & 8 & 29 & 50 & 79 & 94 & 110 & 158 & 162 & 162 & 189 & 217 & 238\\\\\n",
- "\t & US & 37.090200 & -95.712900 & 1 & 1 & 2 & 2 & 5 & 5 & 5 & 5 & 5 & 7 & 8 & 8 & 11 & 11 & 11 & 11 & 11 & 11 & 11 & 11 & 12 & 12 & 13 & 13 & 13 & 13 & 13 & 13 & 13 & 13 & 15 & 15 & 15 & 51 & 51 & 57 & 58 & 60 & 68 & 74 & 98 & 118 & 149 & 217 & 262 & 402 & 518 & 583 & 959 & 1281 & 1663 & 2179 & 2727 & 3499 & 4632 & 6421 & 7783 & 13677 & 19100 & 25489 & 33276 & 43847 & 53740 & 65778 & 83836 & 101657\\\\\n",
- "\t & Uzbekistan & 41.377500 & 64.585300 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 6 & 10 & 15 & 23 & 33 & 43 & 43 & 46 & 50 & 60 & 75 & 88\\\\\n",
- "\t & Venezuela & 6.423800 & -66.589700 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 10 & 17 & 33 & 36 & 42 & 42 & 70 & 70 & 77 & 84 & 91 & 107 & 107\\\\\n",
- "\t & Vietnam & 16.000000 & 108.000000 & 0 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 2 & 6 & 6 & 8 & 8 & 8 & 10 & 10 & 13 & 13 & 14 & 15 & 15 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 16 & 18 & 30 & 30 & 31 & 38 & 39 & 47 & 53 & 56 & 61 & 66 & 75 & 85 & 91 & 94 & 113 & 123 & 134 & 141 & 153 & 163\\\\\n",
- "\t & Zambia & -15.416700 & 28.283300 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 2 & 2 & 2 & 3 & 3 & 3 & 12 & 16 & 22\\\\\n",
- "\t & Zimbabwe & -20.000000 & 30.000000 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 3 & 3 & 3 & 3 & 3 & 3 & 5\\\\\n",
- "\t Diamond Princess & Canada & 0.000000 & 0.000000 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\\n",
- "\t & Dominica & 15.415000 & -61.371000 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 2 & 2 & 7 & 11 & 11\\\\\n",
- "\t & Grenada & 12.116500 & -61.679000 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 & 7 & 7\\\\\n",
- "\t & Mozambique & -18.665695 & 35.529562 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 3 & 5 & 7 & 7\\\\\n",
- "\t & Syria & 34.802075 & 38.996815 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 5 & 5 & 5\\\\\n",
- "\t & Timor-Leste & -8.874217 & 125.727539 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1 & 1 & 1\\\\\n",
- "\t & Belize & 13.193900 & -59.543200 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 2 & 2 & 2\\\\\n",
- "\t Recovered & Canada & 0.000000 & 0.000000 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0\\\\\n",
- "\t & Laos & 19.856270 & 102.495496 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 3 & 6 & 6\\\\\n",
- "\t & Libya & 26.335100 & 17.228331 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1 & 1 & 1\\\\\n",
- "\t & West Bank and Gaza & 31.952200 & 35.233200 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 4 & 7 & 16 & 16 & 19 & 26 & 30 & 30 & 31 & 35 & 38 & 38 & 39 & 41 & 44 & 47 & 48 & 52 & 59 & 59 & 59 & 84 & 91\\\\\n",
- "\t & Guinea-Bissau & 11.803700 & -15.180400 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 2 & 2\\\\\n",
- "\t & Mali & 17.570692 & -3.996166 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 4 & 11\\\\\n",
- "\t & Saint Kitts and Nevis & 17.357822 & -62.782998 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 2 & 2 & 2\\\\\n",
- "\t Northwest Territories & Canada & 64.825500 & -124.845700 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 1 & 1\\\\\n",
- "\t Yukon & Canada & 64.282300 & -135.000000 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 3 & 3\\\\\n",
- "\t & Kosovo & 42.602636 & 20.902977 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 71 & 86\\\\\n",
- "\t & Burma & 21.916200 & 95.956000 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 0 & 8\\\\\n",
- "\\end{tabular}\n"
- ],
- "text/markdown": [
- "\n",
- "A data.table: 249 × 70\n",
- "\n",
- "| Province/State <chr> | Country/Region <chr> | Lat <dbl> | Long <dbl> | 1/22/20 <int> | 1/23/20 <int> | 1/24/20 <int> | 1/25/20 <int> | 1/26/20 <int> | 1/27/20 <int> | ⋯ ⋯ | 3/18/20 <int> | 3/19/20 <int> | 3/20/20 <int> | 3/21/20 <int> | 3/22/20 <int> | 3/23/20 <int> | 3/24/20 <int> | 3/25/20 <int> | 3/26/20 <int> | 3/27/20 <int> |\n",
- "|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n",
- "| <!----> | Afghanistan | 33.0000 | 65.0000 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 22 | 22 | 24 | 24 | 40 | 40 | 74 | 84 | 94 | 110 |\n",
- "| <!----> | Albania | 41.1533 | 20.1683 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 59 | 64 | 70 | 76 | 89 | 104 | 123 | 146 | 174 | 186 |\n",
- "| <!----> | Algeria | 28.0339 | 1.6596 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 74 | 87 | 90 | 139 | 201 | 230 | 264 | 302 | 367 | 409 |\n",
- "| <!----> | Andorra | 42.5063 | 1.5218 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 39 | 53 | 75 | 88 | 113 | 133 | 164 | 188 | 224 | 267 |\n",
- "| <!----> | Angola | -11.2027 | 17.8739 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 1 | 2 | 2 | 3 | 3 | 3 | 4 | 4 |\n",
- "| <!----> | Antigua and Barbuda | 17.0608 | -61.7964 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 1 | 1 | 1 | 1 | 1 | 3 | 3 | 3 | 7 | 7 |\n",
- "| <!----> | Argentina | -38.4161 | -63.6167 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 79 | 97 | 128 | 158 | 266 | 301 | 387 | 387 | 502 | 589 |\n",
- "| <!----> | Armenia | 40.0691 | 45.0382 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 84 | 115 | 136 | 160 | 194 | 235 | 249 | 265 | 290 | 329 |\n",
- "| Australian Capital Territory | Australia | -35.4735 | 149.0124 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 3 | 4 | 6 | 9 | 19 | 32 | 39 | 39 | 53 | 62 |\n",
- "| New South Wales | Australia | -33.8688 | 151.2093 | 0 | 0 | 0 | 0 | 3 | 4 | ⋯ | 267 | 307 | 353 | 436 | 669 | 669 | 818 | 1029 | 1219 | 1405 |\n",
- "| Northern Territory | Australia | -12.4634 | 130.8456 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 1 | 1 | 3 | 3 | 5 | 5 | 6 | 6 | 12 | 12 |\n",
- "| Queensland | Australia | -28.0167 | 153.4000 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 94 | 144 | 184 | 221 | 259 | 319 | 397 | 443 | 493 | 555 |\n",
- "| South Australia | Australia | -34.9285 | 138.6007 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 37 | 42 | 50 | 67 | 100 | 134 | 170 | 170 | 235 | 257 |\n",
- "| Tasmania | Australia | -41.4545 | 145.9707 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 10 | 10 | 10 | 16 | 22 | 28 | 28 | 36 | 47 | 47 |\n",
- "| Victoria | Australia | -37.8136 | 144.9631 | 0 | 0 | 0 | 0 | 1 | 1 | ⋯ | 121 | 121 | 121 | 229 | 355 | 355 | 411 | 466 | 520 | 574 |\n",
- "| Western Australia | Australia | -31.9505 | 115.8605 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 35 | 52 | 64 | 90 | 120 | 140 | 175 | 175 | 231 | 231 |\n",
- "| <!----> | Austria | 47.5162 | 14.5501 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 1646 | 2013 | 2388 | 2814 | 3582 | 4474 | 5283 | 5588 | 6909 | 7657 |\n",
- "| <!----> | Azerbaijan | 40.1431 | 47.5769 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 28 | 44 | 44 | 53 | 65 | 72 | 87 | 93 | 122 | 165 |\n",
- "| <!----> | Bahamas | 25.0343 | -77.3963 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 1 | 3 | 3 | 4 | 4 | 4 | 5 | 5 | 9 | 10 |\n",
- "| <!----> | Bahrain | 26.0275 | 50.5500 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 256 | 278 | 285 | 305 | 334 | 377 | 392 | 419 | 458 | 466 |\n",
- "| <!----> | Bangladesh | 23.6850 | 90.3563 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 14 | 17 | 20 | 25 | 27 | 33 | 39 | 39 | 44 | 48 |\n",
- "| <!----> | Barbados | 13.1939 | -59.5432 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 2 | 5 | 5 | 6 | 14 | 17 | 18 | 18 | 18 | 24 |\n",
- "| <!----> | Belarus | 53.7098 | 27.9534 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 51 | 51 | 69 | 76 | 76 | 81 | 81 | 86 | 86 | 94 |\n",
- "| <!----> | Belgium | 50.8333 | 4.0000 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 1486 | 1795 | 2257 | 2815 | 3401 | 3743 | 4269 | 4937 | 6235 | 7284 |\n",
- "| <!----> | Benin | 9.3077 | 2.3158 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 2 | 2 | 2 | 2 | 2 | 5 | 6 | 6 | 6 | 6 |\n",
- "| <!----> | Bhutan | 27.5142 | 90.4336 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 1 | 1 | 2 | 2 | 2 | 2 | 2 | 2 | 2 | 3 |\n",
- "| <!----> | Bolivia | -16.2902 | -63.5887 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 12 | 12 | 15 | 19 | 24 | 27 | 29 | 32 | 43 | 61 |\n",
- "| <!----> | Bosnia and Herzegovina | 43.9159 | 17.6791 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 38 | 63 | 89 | 93 | 126 | 136 | 166 | 176 | 191 | 237 |\n",
- "| <!----> | Brazil | -14.2350 | -51.9253 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 372 | 621 | 793 | 1021 | 1546 | 1924 | 2247 | 2554 | 2985 | 3417 |\n",
- "| <!----> | Brunei | 4.5353 | 114.7277 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 68 | 75 | 78 | 83 | 88 | 91 | 104 | 109 | 114 | 115 |\n",
- "| ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋱ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ | ⋮ |\n",
- "| Channel Islands | United Kingdom | 49.372300 | -2.364400 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 6 | 11 | 14 | 32 | 32 | 36 | 36 | 46 | 66 | 88 |\n",
- "| Gibraltar | United Kingdom | 36.140800 | -5.353600 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 8 | 10 | 10 | 10 | 15 | 15 | 15 | 26 | 35 | 55 |\n",
- "| Isle of Man | United Kingdom | 54.236100 | -4.548100 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 1 | 1 | 5 | 13 | 23 | 23 | 25 | 29 |\n",
- "| Montserrat | United Kingdom | 16.742500 | -62.187400 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 5 | 5 |\n",
- "| <!----> | United Kingdom | 55.378100 | -3.436000 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 2626 | 2689 | 3983 | 5018 | 5683 | 6650 | 8077 | 9529 | 11658 | 14543 |\n",
- "| <!----> | Uruguay | -32.522800 | -55.765800 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 50 | 79 | 94 | 110 | 158 | 162 | 162 | 189 | 217 | 238 |\n",
- "| <!----> | US | 37.090200 | -95.712900 | 1 | 1 | 2 | 2 | 5 | 5 | ⋯ | 7783 | 13677 | 19100 | 25489 | 33276 | 43847 | 53740 | 65778 | 83836 | 101657 |\n",
- "| <!----> | Uzbekistan | 41.377500 | 64.585300 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 15 | 23 | 33 | 43 | 43 | 46 | 50 | 60 | 75 | 88 |\n",
- "| <!----> | Venezuela | 6.423800 | -66.589700 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 36 | 42 | 42 | 70 | 70 | 77 | 84 | 91 | 107 | 107 |\n",
- "| <!----> | Vietnam | 16.000000 | 108.000000 | 0 | 2 | 2 | 2 | 2 | 2 | ⋯ | 75 | 85 | 91 | 94 | 113 | 123 | 134 | 141 | 153 | 163 |\n",
- "| <!----> | Zambia | -15.416700 | 28.283300 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 2 | 2 | 2 | 2 | 3 | 3 | 3 | 12 | 16 | 22 |\n",
- "| <!----> | Zimbabwe | -20.000000 | 30.000000 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 1 | 3 | 3 | 3 | 3 | 3 | 3 | 5 |\n",
- "| Diamond Princess | Canada | 0.000000 | 0.000000 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n",
- "| <!----> | Dominica | 15.415000 | -61.371000 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 7 | 11 | 11 |\n",
- "| <!----> | Grenada | 12.116500 | -61.679000 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 7 | 7 |\n",
- "| <!----> | Mozambique | -18.665695 | 35.529562 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 5 | 7 | 7 |\n",
- "| <!----> | Syria | 34.802075 | 38.996815 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 5 | 5 | 5 |\n",
- "| <!----> | Timor-Leste | -8.874217 | 125.727539 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 1 | 1 |\n",
- "| <!----> | Belize | 13.193900 | -59.543200 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 2 | 2 |\n",
- "| Recovered | Canada | 0.000000 | 0.000000 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |\n",
- "| <!----> | Laos | 19.856270 | 102.495496 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 6 | 6 |\n",
- "| <!----> | Libya | 26.335100 | 17.228331 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 |\n",
- "| <!----> | West Bank and Gaza | 31.952200 | 35.233200 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 41 | 44 | 47 | 48 | 52 | 59 | 59 | 59 | 84 | 91 |\n",
- "| <!----> | Guinea-Bissau | 11.803700 | -15.180400 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 2 |\n",
- "| <!----> | Mali | 17.570692 | -3.996166 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 11 |\n",
- "| <!----> | Saint Kitts and Nevis | 17.357822 | -62.782998 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 2 |\n",
- "| Northwest Territories | Canada | 64.825500 | -124.845700 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |\n",
- "| Yukon | Canada | 64.282300 | -135.000000 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 3 |\n",
- "| <!----> | Kosovo | 42.602636 | 20.902977 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 71 | 86 |\n",
- "| <!----> | Burma | 21.916200 | 95.956000 | 0 | 0 | 0 | 0 | 0 | 0 | ⋯ | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 |\n",
- "\n"
- ],
- "text/plain": [
- " Province/State Country/Region Lat Long \n",
- "1 Afghanistan 33.0000 65.0000 \n",
- "2 Albania 41.1533 20.1683 \n",
- "3 Algeria 28.0339 1.6596 \n",
- "4 Andorra 42.5063 1.5218 \n",
- "5 Angola -11.2027 17.8739 \n",
- "6 Antigua and Barbuda 17.0608 -61.7964 \n",
- "7 Argentina -38.4161 -63.6167 \n",
- "8 Armenia 40.0691 45.0382 \n",
- "9 Australian Capital Territory Australia -35.4735 149.0124 \n",
- "10 New South Wales Australia -33.8688 151.2093 \n",
- "11 Northern Territory Australia -12.4634 130.8456 \n",
- "12 Queensland Australia -28.0167 153.4000 \n",
- "13 South Australia Australia -34.9285 138.6007 \n",
- "14 Tasmania Australia -41.4545 145.9707 \n",
- "15 Victoria Australia -37.8136 144.9631 \n",
- "16 Western Australia Australia -31.9505 115.8605 \n",
- "17 Austria 47.5162 14.5501 \n",
- "18 Azerbaijan 40.1431 47.5769 \n",
- "19 Bahamas 25.0343 -77.3963 \n",
- "20 Bahrain 26.0275 50.5500 \n",
- "21 Bangladesh 23.6850 90.3563 \n",
- "22 Barbados 13.1939 -59.5432 \n",
- "23 Belarus 53.7098 27.9534 \n",
- "24 Belgium 50.8333 4.0000 \n",
- "25 Benin 9.3077 2.3158 \n",
- "26 Bhutan 27.5142 90.4336 \n",
- "27 Bolivia -16.2902 -63.5887 \n",
- "28 Bosnia and Herzegovina 43.9159 17.6791 \n",
- "29 Brazil -14.2350 -51.9253 \n",
- "30 Brunei 4.5353 114.7277 \n",
- "â‹® â‹® â‹® â‹® â‹® \n",
- "220 Channel Islands United Kingdom 49.372300 -2.364400\n",
- "221 Gibraltar United Kingdom 36.140800 -5.353600\n",
- "222 Isle of Man United Kingdom 54.236100 -4.548100\n",
- "223 Montserrat United Kingdom 16.742500 -62.187400\n",
- "224 United Kingdom 55.378100 -3.436000\n",
- "225 Uruguay -32.522800 -55.765800\n",
- "226 US 37.090200 -95.712900\n",
- "227 Uzbekistan 41.377500 64.585300\n",
- "228 Venezuela 6.423800 -66.589700\n",
- "229 Vietnam 16.000000 108.000000\n",
- "230 Zambia -15.416700 28.283300\n",
- "231 Zimbabwe -20.000000 30.000000\n",
- "232 Diamond Princess Canada 0.000000 0.000000\n",
- "233 Dominica 15.415000 -61.371000\n",
- "234 Grenada 12.116500 -61.679000\n",
- "235 Mozambique -18.665695 35.529562\n",
- "236 Syria 34.802075 38.996815\n",
- "237 Timor-Leste -8.874217 125.727539\n",
- "238 Belize 13.193900 -59.543200\n",
- "239 Recovered Canada 0.000000 0.000000\n",
- "240 Laos 19.856270 102.495496\n",
- "241 Libya 26.335100 17.228331\n",
- "242 West Bank and Gaza 31.952200 35.233200\n",
- "243 Guinea-Bissau 11.803700 -15.180400\n",
- "244 Mali 17.570692 -3.996166\n",
- "245 Saint Kitts and Nevis 17.357822 -62.782998\n",
- "246 Northwest Territories Canada 64.825500 -124.845700\n",
- "247 Yukon Canada 64.282300 -135.000000\n",
- "248 Kosovo 42.602636 20.902977\n",
- "249 Burma 21.916200 95.956000\n",
- " 1/22/20 1/23/20 1/24/20 1/25/20 1/26/20 1/27/20 ⋯ 3/18/20 3/19/20 3/20/20\n",
- "1 0 0 0 0 0 0 ⋯ 22 22 24 \n",
- "2 0 0 0 0 0 0 ⋯ 59 64 70 \n",
- "3 0 0 0 0 0 0 ⋯ 74 87 90 \n",
- "4 0 0 0 0 0 0 ⋯ 39 53 75 \n",
- "5 0 0 0 0 0 0 ⋯ 0 0 1 \n",
- "6 0 0 0 0 0 0 ⋯ 1 1 1 \n",
- "7 0 0 0 0 0 0 ⋯ 79 97 128 \n",
- "8 0 0 0 0 0 0 ⋯ 84 115 136 \n",
- "9 0 0 0 0 0 0 ⋯ 3 4 6 \n",
- "10 0 0 0 0 3 4 ⋯ 267 307 353 \n",
- "11 0 0 0 0 0 0 ⋯ 1 1 3 \n",
- "12 0 0 0 0 0 0 ⋯ 94 144 184 \n",
- "13 0 0 0 0 0 0 ⋯ 37 42 50 \n",
- "14 0 0 0 0 0 0 ⋯ 10 10 10 \n",
- "15 0 0 0 0 1 1 ⋯ 121 121 121 \n",
- "16 0 0 0 0 0 0 ⋯ 35 52 64 \n",
- "17 0 0 0 0 0 0 ⋯ 1646 2013 2388 \n",
- "18 0 0 0 0 0 0 ⋯ 28 44 44 \n",
- "19 0 0 0 0 0 0 ⋯ 1 3 3 \n",
- "20 0 0 0 0 0 0 ⋯ 256 278 285 \n",
- "21 0 0 0 0 0 0 ⋯ 14 17 20 \n",
- "22 0 0 0 0 0 0 ⋯ 2 5 5 \n",
- "23 0 0 0 0 0 0 ⋯ 51 51 69 \n",
- "24 0 0 0 0 0 0 ⋯ 1486 1795 2257 \n",
- "25 0 0 0 0 0 0 ⋯ 2 2 2 \n",
- "26 0 0 0 0 0 0 ⋯ 1 1 2 \n",
- "27 0 0 0 0 0 0 ⋯ 12 12 15 \n",
- "28 0 0 0 0 0 0 ⋯ 38 63 89 \n",
- "29 0 0 0 0 0 0 ⋯ 372 621 793 \n",
- "30 0 0 0 0 0 0 ⋯ 68 75 78 \n",
- "⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋮ ⋱ ⋮ ⋮ ⋮ \n",
- "220 0 0 0 0 0 0 ⋯ 6 11 14 \n",
- "221 0 0 0 0 0 0 ⋯ 8 10 10 \n",
- "222 0 0 0 0 0 0 ⋯ 0 0 1 \n",
- "223 0 0 0 0 0 0 ⋯ 1 1 1 \n",
- "224 0 0 0 0 0 0 ⋯ 2626 2689 3983 \n",
- "225 0 0 0 0 0 0 ⋯ 50 79 94 \n",
- "226 1 1 2 2 5 5 ⋯ 7783 13677 19100 \n",
- "227 0 0 0 0 0 0 ⋯ 15 23 33 \n",
- "228 0 0 0 0 0 0 ⋯ 36 42 42 \n",
- "229 0 2 2 2 2 2 ⋯ 75 85 91 \n",
- "230 0 0 0 0 0 0 ⋯ 2 2 2 \n",
- "231 0 0 0 0 0 0 ⋯ 0 0 1 \n",
- "232 0 0 0 0 0 0 ⋯ 0 0 0 \n",
- "233 0 0 0 0 0 0 ⋯ 0 0 0 \n",
- "234 0 0 0 0 0 0 ⋯ 0 0 0 \n",
- "235 0 0 0 0 0 0 ⋯ 0 0 0 \n",
- "236 0 0 0 0 0 0 ⋯ 0 0 0 \n",
- "237 0 0 0 0 0 0 ⋯ 0 0 0 \n",
- "238 0 0 0 0 0 0 ⋯ 0 0 0 \n",
- "239 0 0 0 0 0 0 ⋯ 0 0 0 \n",
- "240 0 0 0 0 0 0 ⋯ 0 0 0 \n",
- "241 0 0 0 0 0 0 ⋯ 0 0 0 \n",
- "242 0 0 0 0 0 0 ⋯ 41 44 47 \n",
- "243 0 0 0 0 0 0 ⋯ 0 0 0 \n",
- "244 0 0 0 0 0 0 ⋯ 0 0 0 \n",
- "245 0 0 0 0 0 0 ⋯ 0 0 0 \n",
- "246 0 0 0 0 0 0 ⋯ 0 0 0 \n",
- "247 0 0 0 0 0 0 ⋯ 0 0 0 \n",
- "248 0 0 0 0 0 0 ⋯ 0 0 0 \n",
- "249 0 0 0 0 0 0 ⋯ 0 0 0 \n",
- " 3/21/20 3/22/20 3/23/20 3/24/20 3/25/20 3/26/20 3/27/20\n",
- "1 24 40 40 74 84 94 110 \n",
- "2 76 89 104 123 146 174 186 \n",
- "3 139 201 230 264 302 367 409 \n",
- "4 88 113 133 164 188 224 267 \n",
- "5 2 2 3 3 3 4 4 \n",
- "6 1 1 3 3 3 7 7 \n",
- "7 158 266 301 387 387 502 589 \n",
- "8 160 194 235 249 265 290 329 \n",
- "9 9 19 32 39 39 53 62 \n",
- "10 436 669 669 818 1029 1219 1405 \n",
- "11 3 5 5 6 6 12 12 \n",
- "12 221 259 319 397 443 493 555 \n",
- "13 67 100 134 170 170 235 257 \n",
- "14 16 22 28 28 36 47 47 \n",
- "15 229 355 355 411 466 520 574 \n",
- "16 90 120 140 175 175 231 231 \n",
- "17 2814 3582 4474 5283 5588 6909 7657 \n",
- "18 53 65 72 87 93 122 165 \n",
- "19 4 4 4 5 5 9 10 \n",
- "20 305 334 377 392 419 458 466 \n",
- "21 25 27 33 39 39 44 48 \n",
- "22 6 14 17 18 18 18 24 \n",
- "23 76 76 81 81 86 86 94 \n",
- "24 2815 3401 3743 4269 4937 6235 7284 \n",
- "25 2 2 5 6 6 6 6 \n",
- "26 2 2 2 2 2 2 3 \n",
- "27 19 24 27 29 32 43 61 \n",
- "28 93 126 136 166 176 191 237 \n",
- "29 1021 1546 1924 2247 2554 2985 3417 \n",
- "30 83 88 91 104 109 114 115 \n",
- "â‹® â‹® â‹® â‹® â‹® â‹® â‹® â‹® \n",
- "220 32 32 36 36 46 66 88 \n",
- "221 10 15 15 15 26 35 55 \n",
- "222 1 5 13 23 23 25 29 \n",
- "223 1 1 1 1 1 5 5 \n",
- "224 5018 5683 6650 8077 9529 11658 14543 \n",
- "225 110 158 162 162 189 217 238 \n",
- "226 25489 33276 43847 53740 65778 83836 101657 \n",
- "227 43 43 46 50 60 75 88 \n",
- "228 70 70 77 84 91 107 107 \n",
- "229 94 113 123 134 141 153 163 \n",
- "230 2 3 3 3 12 16 22 \n",
- "231 3 3 3 3 3 3 5 \n",
- "232 0 0 0 0 0 0 0 \n",
- "233 0 1 2 2 7 11 11 \n",
- "234 0 1 1 1 1 7 7 \n",
- "235 0 1 1 3 5 7 7 \n",
- "236 0 1 1 1 5 5 5 \n",
- "237 0 1 1 1 1 1 1 \n",
- "238 0 0 1 1 2 2 2 \n",
- "239 0 0 0 0 0 0 0 \n",
- "240 0 0 0 2 3 6 6 \n",
- "241 0 0 0 1 1 1 1 \n",
- "242 48 52 59 59 59 84 91 \n",
- "243 0 0 0 0 2 2 2 \n",
- "244 0 0 0 0 2 4 11 \n",
- "245 0 0 0 0 2 2 2 \n",
- "246 0 0 0 0 0 1 1 \n",
- "247 0 0 0 0 0 3 3 \n",
- "248 0 0 0 0 0 71 86 \n",
- "249 0 0 0 0 0 0 8 "
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "d_counts"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
+ "execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
@@ -452,21 +38,21 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 4,
"metadata": {},
"outputs": [],
"source": [
- "ts_country <- create_ts_country(\"Germany\")"
+ "ts_country <- create_ts_country(\"France\")"
]
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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UtGlC923bAJkGwDJB+ZhPQ377/nksoekn8Qqa+RvrjhrJZVE+OfzqZ2r+y1QLpv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\nAyQfKZD66vw1l0xGvkbyByIP0jyx1nq7UKxy2bC70uWzajV66UO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QiytWxh9n2Y9Ypyte2CFzb5f3R4s9anpC4xSxQ3tU5r7aUT7F5cax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\nd9IOUAAAAABJRU5ErkJggg==",
+ "image/png": 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D9QvGRfGzFgxp3ly/MuFAGSMkDy0RcK\nKXYk/T6+8IDkG0QC0i4x1v54dS8rVtnHshq69sm3UAVIygDJR18opA+JHo8v1JD8g0hA2tRv\no/3xthusLWK6vRhZ3pBnoTpjQFIGSD76QiHNIJoVX6gh+QeRfrBh2/Knz5hlrRIrnXMR2/Is\nVGcMSMoAyUdfKKTHiD6KLzwfbPAJIg2pqtmFt+yyFoj37fUSsS7PQnWuq2bXavTKezqnUjZ3\nmbFRy+caG/VetbFRH40xNmpn1XZjs8b9x9ioae8YGzV/aaE9fkdH7o8vZntB8gki++HvR7rF\nVonV9mKm2JpnoTrXuVUIlVC/ph8lV3M9IPkEkYA0/xbnjt5r4rMtYqa9GF1Wn2ehOsu3Z27X\n6OWVOqdSNnuJsVFLZhsbtfJlY6PWjzE2anPVR8ZmjVtnbNQrbxkbNWdxoT1+SB0Si5lvq27P\n/kEkIC0Xzq8Yf2taF+t0t2XFeva28ixU4XckZfgdyUdf5O9I+5tQv8RK/TuSfxAJSPWdz58w\n/7HThjuPjY9YMahsed6FIkBSBkg++iIhrSIanVipIfkHkfwd6ZN72jSvHO/8OKvuXNHdeS17\nvoXiggGSKkDy0RcJaRzRssTK41E73yDwXDtXgOSjEoX0ANGuxApPWpUDJH6AZF1FJyRXgCQH\nSPwAyWpKZydXgCQHSPwAyfoGXZdcAZIcIPEDpE+JhiSXgCQHSPwAaQHRy8klIMkBEj9Aepoo\ndWaAJAdI/ADpDjr0QHIJSHKAxA+Q2tPPUktAkgMkfoD033RRaglIcoDEL/KQ6o+g21JrQJID\nJH6Rh7SB6MnUGpDkAIlf5CG9QpR+OR8gyQESv8hDGkq0ObUGJDlA4hd5SDfS12KpNSDJARK/\nyEM6l36TXgOSHCDxizykH9Pl6TUgyQESv6hD2t+E7kkfACQ5QOIXdUhriEalDwCSHCDxizqk\nSUSL0wcASQ6Q+EUd0l+IMu+7DUhygMQv6pB60nGZA4AkB0j8og7pbDo9cwCQ5ACJX9QhfZe6\nZg4Akhwg8Ys4pD2N6P7MIUCSAyR+EYe0gqgqcwiQ5ACJX8QhVRFlHQ1IcoDEL+KQ7ifanTkE\nSHKAxC/ikLrSd7MOAZIcIPGLOKSmdFbWIUCSAyR+EYf0DeqZdQiQ5ACJX7QhbSf6S9ZBQJID\nJH7RhrSEaGLWQUCSAyR+0YY0imhN1kFAkgMkftGGdA813pd1EJDkAIlftCF1oh9lHwQkOUDi\nF21Iv6Fzsw8Ckhwg8Ys2pKPoxuyDgCQHSPwiDWkz0dDsw4AkB0j8Ig1pLpH0TQEkOUDiF2lI\nTxJJtzpAkgMkfpGGdDsdVpd9GJDkAIlfpCG1p1Okw4AkB0j8Ig3pf6iddBiQ5ACJX5QhNXyF\nbpU2AJIcIPGLMqR/E/1d2gBIcoDEL8qQXiWaJW0AJDlA4hdlSMOIPpQ2AJIcIPGLMqTf01ca\npA2AJAdI/KIM6Xz6lbwBkOQAiV+UIZ1El8obAEkOkPhFGNKBQ6mvvAWQ5ACJX4QhrSV6Wt4C\nSHKAxC/CkKYQLZC3AJIcIPGLMKSHibbKWwBJDpD4RRhSLzomZwsgyQESvwhDakllOVsASQ6Q\n+EUY0g/oipwtgCQHSPyiC2lvY+qXswmQ5ACJX3QhrSQanbMJkOQAiV90IY0neiNnEyDJARK/\n6EJ6kGhHziZAkgMkftGF1IO+lbsJkOQAiV90IZ1BZ+RuAiQ5QOIXXUjfpu65mwBJDpD4RRbS\nLqIHcrcBkhwg8YsspKVE43K3AZIcIPGLLKTnid7O3QZIcoDEL7KQ7qNGe3K3AZIcIPGLLKQr\n6UTXNkCSAyR+kYVUTue4tgGSHCDxiyykY+l61zZAkgMkflGF9AnRENdGQJIDJH5RhbSQ6CXX\nRkCSAyR+UYX0DNF7ro2AJAdI/KIK6S5qUuvaCEhygMQvqpAupZPcGwFJDpD4RRXSr6mteyMg\nyQESv4hCih1JN7u3ApIcIPGLKKT/ED3m3gpIcoDEL6KQZhNNd28FJDlA4hdRSE8QfeDeahhS\n3ahLmnUYvt++QQon577k1C4VPRZayoU7QFIGSD462JD60OH17q0ekHyDSEL6e/nj855qfpdl\njW5RZTfPvlpiwIw7y5erFooASRkg+ehgQ/ot/bdiqwck3yASkBqaO09CqhJbrYeuSWyPVfax\nN3fto1ioAiRlgOSjgw3pp3SxYqsakn8QCUhbOrzunL1YZd3Qf+fqbc4W4fxiNrK8wb1QnTEg\nKQMkHx1kSLvcb1fspIbkH0TWgw11t7bca7W7+DQhrt9srRIr7U0zxDb3QnXGgKQMkHx0kCHN\nJZqs2DXPgw2+QGQgbejZdKF1oPl1G2oWte3asEC8b29bIta5F6rzBCRlgOSjgwzpYaKPFLt6\nQ/IHIgVp14Cy3htTI6rFhlVitb2YKba6F6ozXTxxjkbjp+qcStmkKcZGTZlkbNTU8cZGvVpl\nbNSsqlnGZo151dio8a8YGzVZcWs4l45V7TpxsZqRXxBJSBvbXpL1/iprxNItYqa9GF1W716o\nznbZlLc1mjhX51TKqmcYGzWj2tiouRONjVpcZWzUsqqlxmaNWWRs1KQ5xka98qp720/oDNWu\nU5YpHfkGkXzUrmOvfQkQZfPiR+6KdbrbsmI9e1vuhSrctVOGu3Y+Orh37Wqa0N2qXT0etfMN\nIgHpLTFwnNOOhm6tn5z3RLPHnQfJR6wYVLZctVAESMoAyUcHF9JCovGqXdWQ/INIQJokEq21\ndgxo06xyovOIXnXniu6LLOXCHSApAyQfHVxIjyqfIOQFyT8IPNfOFSD5qGQgdadjY6pd8aRV\nOUDiF0lIv6ZWyl0BSQ6Q+EUR0v5D6Q7lroAkB0j8ogjpDaIXlbsCkhwg8YsipCeI1OMBSQ6Q\n+EUR0rV0tPLZ1oCUEyDxiyKkU+ls9a6AJAdI/CII6cARdKt6V0CSAyR+EYT0JtFz6l0BSQ6Q\n+EUQ0lNE76h3BSQ5QOIXQUi/o68qX7UASLkBEr8IQjqdmnvsCkhygMQvepDqv0o3eewKSHKA\nxC96kFYRPeOxKyDJARK/6EEaSfS2ek9AygmQ+EUP0s10xAGPXQFJDpD4RQ9SBZV77QpIcoDE\nL3KQGo6iXl67ApIcIPGLHKT3iEZ47QpIcoDEL3KQnidSv+mWBUi5ARK/yEH6Ax2232tXQJID\nJH6Rg3QO/cZzV0CSAyR+UYMUO46u8dwVkOQAiV/UIK0nGua5KyDJARK/qEEaQ7TEc1dAkgMk\nflGD1Jea1HjuCkhygMQvapDOpV967wpIcoDEL2qQvklXee8KSHKAxC9ikDYSDfXeFZDkAIlf\nxCBNJMrzHQUkOUDiFzFI91Dj3d67ApIcIPGLGKQL6Gd5dgUkOUDiFzFIJ9CVeXYFJDlA4hct\nSB8TDc6zKyDJARK/aEGaQjQ7z66AJAdI/KIF6U/UaEeeXQFJDpD4RQvSxXRSvl0BSQ6Q+EUL\n0ol0Wb5dAUkOkPhFCtKnRA/l2xWQ5ACJX6QgTSN6Nd+ugCQHSPwiBekBok/z7QpIcoDEL1KQ\nLqUf5t0VkOQAiV+kIP2E2ufdFZDkAIlflCDtaET3590VkOQAiV+UIM0iqs67KyDJARK/KEEa\nTLQ5766AJAdI/KIE6VL6fv5dAUkOkPhFCdIJ+Z/XAEi5ARK/CEFal/f9GpwASQ6Q+EUI0tNE\ny/PvCkhygMQvQpCupqPr8+8KSHKAxC9CkE6h8wrsCkhygMQvOpA+bUT9C+wKSHKAxC86kCbk\nf5m5EyDJARK/6EDqQ4d6v31+IkCSAyR+0YFUTqcV2hWQ5ACJX2Qg1RxGfQrtCkhygMQvMpBm\nEU0stCsgyQESv8hA+hM12lpoV0CSAyR+kYF0bt53/U4ESHKAxC8qkOqPyfPXzFMBkhwg8YsK\npOVEzxTcFZDkAIlfVCANJVpXcFdAkgMkflGB1JG+XXhXQJIDJH5RgfRdurTwroAkB0j8IgJp\nPdFfC+8KSHKAxC8ikJ4lWlZ4V0CSAyR+EYHUk75WV3hXQJIDJH4RgfRzas3YFZDkAIlfNCB9\n2ojuY+wKSHKAxC8akCYSzWTsCkhygMQvGpD+QIdwriYgyQESv2hAOp3KObsCkhwg8YsEpL2H\n0a2cXQFJDpD4RQLSa0TjObsCkhwg8YsEpPuJWBcNkOQAiV8kIJ1HP2XtCkhygMQvCpDqj6Ee\nrF0BSQ6Q+EUB0gqip1m7ApIcIPGLAqS/EfHGAZIcIPGLAqTLOS/qcwIkOUDiFwVI36dLeLsa\nhlQ36pJmHYbvt1dTu1T0WGjlX7gDJGWA5COTkKYQPczb1QOSbxBJSH8vf3zeU83vsq+NGDDj\nzvLleReKAEkZIPnIJKT7id7g7eoByTeIBKSG5kPsj1Via6yyj32oax8rz0IVICkDJB+ZhNSB\njjzA21UNyT+IBKQtHV53zl6s2iKm24uR5Q15FqozBiRlgOQjk5B+Qi2Zu6oh+QeR9WBD3a0t\n964SK+3VDLEtz0J1xoCkDJB8ZBDS1MbUj7lrngcbfIHIQNrQs+lCa4F4314uEevyLFTnCUjK\nAMlHBiENJJrB3NUbkj8QKUi7BpT13miDEKvtAzPF1jwL1ZmumLpBo5eW6JxK2fQ5xkbNnW5s\n1JLJxka9NcbYqHer3jE2a+ybxkZNWWxs1GXUZCVz16krVLdn/yCSkDa2veRt5/MW4bw8d3RZ\nfZ6F6mwXjntZozETdU6lbNwEY6MmaF0XZRPHGBs1ucrYqClVLxmbVTXZ2Kix5m4Np9DJ3F3H\nqf9DxzeI5KN2HXvtiy9ine62P/TsnW+hCnftlOGunY/M3bXbeyj9nruvx6N2vkEkIL0lBo5z\n2mFNFyNWDCqLP0juuVAESMoAyUfmIM0nGsvdVw3JP4gEpEki0VrLqu5c0X2Rsy3Pwh0gKQMk\nH5mD9ATRv7n7qiH5B4Hn2rkCJB8VJaRb6XDl/3aqwpNW5QCJX+ghXUAns/cFJDlA4hd6SCdT\nK/a+gCQHSPzCDunAoXQ1e2dAkgMkfmGH9B5Rf/bOgCQHSPzCDmky0Uj2zoAkB0j8wg5pENFr\n7J0BSQ6Q+IUdUk86xuMJdIoASQ6Q+IUd0ln0K0DSDZD4hR3SCXQBIOkGSPxCDml3I7oekHQD\nJH4hh7SU6AFA0g2Q+IUc0mii5wBJN0DiF3JI/ajxa4CkGyDxCzmkSvrxQkDSDZD4hRzSb+g8\nQNIOkPiFHNJR1BuQtAMkfuGGtInoUUDSDpD4hRvSa0SvApJ2gMQv3JCcN2wAJO0AiV+4IfWh\nrzQAknaAxC/ckC6kX1qApB0g8Qs3pJ/SpYCkHyDxCzWkukPpLkDSD5D4hRrSWqJnAUk/QOIX\nakgvES0CJP0AiV+oIQ0m+gyQ9AMkfqGGdC0dZwGSfoDEL9SQzqZmgBQgQOIXakgnUDdAChAg\n8QszpN2N6AFAChAg8QszpGVE4wApQIDEL8yQnidaBUgBAiR+YYbUjxrvBaQAARK/MEO6gn5k\nAVKAAIlfmCEJOtcCpAABEr8wQzqabrIAKUCAxC/EkDYT/c0CpAABEr8QQ3qNaLoFSAECJH4h\nhjSc6AMLkAIESPxCDKkPHVFvAVKAAIlfiCG1o186nwBJO0DiF2JIp9AlzidA0g6Q+IUXUt2h\n1Nf5DEjaARK/8EJaS/SM8xmQtAMkfuGFNIVoofMZkLQDJH7hhTTEecMGC5ACBEj8wgvpOucN\nGyxAChAg8QsvpLOpafwzIGkHSPzCC+m7dFX8MyBpB0j8Qgvp80Y0IL4AJO0AiV9oIS2Pv2GD\nBUgBAiR+oYX0PNHK+AKQtAMkfqGFdF/8DRssQAoQIPELLaQr6IeJBSBpB0j8Qgvp1PgbNliA\nFCBA4hdaSMfQjYkFIGkHSPzCCunjxBs2WIAUIEDiF1ZIc4imJVaApB0g8QsrpBFE7ydWgKQd\nIPELK6Q/0OH1iRUgaQdI/MIK6bf0i+QKkLQDJH5hhXQKdUiuAEk7QOIXUkh1hyXesMECpAAB\nEr+QQvoX0dPJJSBpB0j8Qgrp5eQbNliAFCBA4hdSSEOIPk0uAUk7QOIXUkjX07GpJSBpB0j8\nQgqpBZ2eWgKSdoDEL6SQvpd8wwYLkAIESPzCCWlTI3owtQYk7QCJXzgh/Y3ojdQakLQDJH7h\nhFRBJ8ZSa0DSDpD4hRLSx03oD+kDgKQdIPELJaRHiV5PHwAk7QCJXyghnZV1zw6Q9AMkfmGE\ntKUJ3Zo5BEjaARK/MEIaRrQ4cwiQtAMkfmGEdDZ9P3PPDpD0AyR+IYT0ySF0S9ZBQNIOkPiF\nENLjmZdQOAGSdoDEL4SQzqHvNWQdBCTtAIlf+CB9egjdnH34S4U0rL/zcb5wci7V1C4VPeI/\nLt0Ld4CkDJB8FADSE0QLsg8bgeQPRApS7PUz46cb3aLKbp59tcSAGXeWL1ctFAGSMkDyUQBI\nLemE7Ht2JiD5BZGENLdCiPjpHromOaeyj2U1dO2jWKgCJGWA5CN9SPY9u97ShuCQfINIQtq9\nfn37+Olu6L9z9Tb78xYx3f44srzBvVCdLyApAyQf6UMaTjRP2hAckm8Qmd+RKuOna3fxaUJc\nv9laJZw/IjhDbHMvVOcLSMoAyUf6kFrTd+qlDUZ+R/IHIgfSgebXbahZ1LZrwwLhvB/5ErHO\nvVCd6crZtRq98p7OqZTNXWZs1PK5xka9V21s1EdjjI3aWbXd2Kxx/zE2ato7mifcfAj1krfM\nX8o+8eyVeSGxQeT+RIpXLTasEqvtxUyx1b1Qnem8KoS+pK4juk//1PNUt2f/IJSQ1oilW8RM\nezG6rN69UJ3pyll7NHrlHZ1TKZvzhrFRS+cYG/VOtbFRG8cYG/Vp1SfGZo37wNioqas1T9iS\nvr1L3jKPf2uYlf8nEhtEDqRlZfPiR+6KdbrbsmI9e1vuhSr8jqQMvyP5SPd3pO2H0e9yNpn7\nHYkNIgdSQ7fWT857otnjzoPkI1YMKluuWigCJGWA5CNdSP8gei1nkzlIbBC5d+12DGjTrHKi\n84hedeeK7oss5cIdICkDJB/pQmpD3879dcPgo3ZcEHiunStA8tGXD2nHYdQrdxuetKodIPEL\nF6SniWbnbgMk7QCJX7ggtaVv1uVuAyTtAIlfqCDZ9+yud20EJO0AiV+oID1LNNO1EZC0AyR+\noYJ0AR3vumcHSPoBEr8wQfr0hH4AAB2lSURBVNpxOF3r3gpI2gESvzBBGkk0w70VkLQDJH5h\ngtSOvuG+ZwdI+gESvxBB2n44XaPYDEjaARK/EEF6imiWYjMgaQdI/EIEqVXua2MTAZJ2gMQv\nPJA+yX3Xk2SApB0g8QsPpEfldypOB0jaARK/8EA6g34QU20HJO0AiV9oIH3YmO5QHgFI2gES\nv9BAGkSkFgNI2gESv9BAEnSK+ghA0g6Q+IUF0nqifupjAEk7QOIXFkj9idaojwEk7QCJX1gg\n/Q/9r8cxgKQdIPELCaSVRA96HAVI2gESv5BAuovI6/YDSNoBEr+QQDqJTvc6CpC0AyR+4YD0\nOtFfvY4DJO0AiV84IN1KjT/yOg6QtAMkfqGA1PB9auF5JCBpB0j8QgFpDtETnkcCknaAxC8U\nkHrRIco/eRcPkLQDJH5hgFT3LWrrfSwgaQdI/MIAaRrRSO9jAUk7QOIXBkjd6Iid3scCknaA\nxC8EkPZ/nTrkORqQtAMkfiGANJGoKs/RgKQdIPELAaROdOSePEcDknaAxK/0IdV8ja7Mdzwg\naQdI/Eof0gtEL+U7HpC0AyR+pQ/pIvr6/nzHA5J2gMSv5CHtOoKuzrsDIGkHSPxKHtKzRK/m\n3QGQtAMkfiUP6QL6luKPImUFSNoBEr9Sh6T8Q+ZSgKQdIPErdUjKP2QuBUjaARK/Uod0oeoP\nmUsBknaAxK/EIe06QvWHzKUASTtA4lfikEYVeswOkAIESPxKHNJvlX/IXAqQtAMkfqUNafcR\nyj9kLgVI2gESv9KGNJpoWqF9AEk7QOJX2pDa09drC+0DSNoBEr+ShvT5V6h7wZ0ASTtA4lfS\nkF4gqi64EyBpB0j8ShrSJYx7doCkHyDxK2VINUfSVYX3AiTtAIlfKUOqIppSeC9A0g6Q+JUy\npI509L7CewGSdoDEr4Qh2ffsujBGAZJ2gMSvhCGNI5rMGAVI2gESvxKG1ImOYtyzAyT9AIlf\n6ULadzRdwRkFSNoBEr/ShTSBaCJnFCBpB0j8ShfSFfS1vZxRgKQdIPErWUj7j6ZOrFGApB0g\n8StZSJOIxrFGAZJ2gMSvZCF1pq/m+xsUmQBJO0DiV6qQ9h9Dl/FGAZJ2gMSvVCFNIWJ+EQBJ\nO0DiV6qQunLv2QGSfoDEr0QhHTiWLmWOAiTtAIlfiUKqJnqROQqQtAMkfiUKqTsdsZs5CpC0\nAyR+pQnpwHHUnjsKkLQDJH6lCelVon9yRwGSdoDErzQh9aLDd3FHAZJ2gMSvJCHFvk9t2aMA\nSTtA4leSkBYTDWePAiTtAIlfSUK6gxpvZo8CJO0AiV9JQjqFmvNHAZJ2gMSvFCGtIRrEHwVI\n2gESv1KENIBoLX8UIGkHSPxKEVIZ/cLHKEDSDpD4lSCkjxrRPT5GfamQhvWPf5rapaLHwgIL\nd4CkDJB8lA/So0TLfYwyAskfiBSk2Otnxk83XQyYcWf58rwLRYCkDJB8lA9SS/phzMcoA5D8\ngkhCmlshhHO6WGUfy2ro2iffQhUgKQMkH+WBtONQutnPqOCQfINIQtq9fn1753RbxHT748jy\nhjwL1fkCkjJA8lEeSKOIXvMzKjgk3yAyvyNVOqdbJVbaH2eIbXkWqvMFJGWA5KM8kNrTN+r8\njDLyO5I/EDmQFoj37Y9LxLo8C9WZApIyQPKRN6S9R1I3X6PMQWKDcP1EWm1/nCm25lmoznTR\nhFc1GjdF51TKJkwyNmqy1nVRNmWssVGvVBkbNa1qmrFZVdXGRnnfGu4jus/XKB+3hgmL8kJi\ng8iBtEXMtD+OLqvPs1Cd6fLqdzWavEDnVMqmzjI2avZUY6MWTDI2aukYY6NWVr1tbNbYN4yN\nemm+1zHt6Yg3fY2axr81VHs+rO4PRA6kWKe77Q89e+dbqMJdO2W4a+cjz7t29cdTB3+jzN21\nY4PIgWRNFyNWDCpbnnehCJCUAZKPPCHNJhrlb5Q5SGwQuZCs6s4V3RcVWLgDJGWA5CNPSL3p\nEOVDxd4ZhMQFgefauQIkH30RkH5MLX2OwpNWtQMkfiUGaTnRYz5HAZJ2gMSvxCDdQ40+9DkK\nkLQDJH4lBukXVOZ3FCBpB0j8SgvSOqIBfkcBknaAxK+0IP2F6B2/owBJO0DiV1qQmtHJvkcB\nknaAxK+kIG1pTHf4HgVI2gESv5KCNJxose9RgKQdIPErKUht6TvKl5LmDZC0AyR+pQRp9xHU\ny/8oQNIOkPiVEqQXiKb7HwVI2gESv1KCdDkdU+t/FCBpB0j8SgjS50dRpcYoQNIOkPiVEKS/\nE03RGAVI2gESvxKC9Cv6gfKtDQoESNoBEr/SgTSP6EGdUYCkHSDxKx1IlXSY8k2rCgVI2gES\nv5KB9MnhdKXWKEDSDpD4lQykAUQLtEYBknaAxK9UIDX8iH6lNwqQtAMkfqUCaTLRE3qjAEk7\nQOJXKpDa0FG79UYBknaAxK9EIK1vTDdpjgIk7QCJX4lA+gOR7o0ckLQDJH6lAWn/N+ls3VGA\npB0g8SsNSM8SVemOAiTtAIlfaUA6jb5zQHcUIGkHSPxKAtKbRPdqjwIk7QCJX0lAupoO+Y/2\nKEDSDpD4lQKkHUf6/eNi2QGSdoDErxQgPUI0Q38UIGkHSPxKAFLsFDrJ/7twpQMk7QCJXwlA\nmkH0cIBRgKQdIPErAUgd6Cs+/9qlFCBpB0j8ih/SpkPp6iCjAEk7QOJX/JDuJVoaZBQgaQdI\n/IoeUt336LRAowBJO0DiV/SQxhA9G2gUIGkHSPyKHVLDqXTc3kCjAEk7QOJX7JBGEfULNgqQ\ntAMkfkUOae8P6Lt7go0CJO0AiV+RQ7qP6JmAowBJO0DiV9yQNh1J/xvg2UHxAEk7QOJX3JC6\nEc0MOgqQtAMkfkUN6c3G1D7wKEDSDpD4FTWklnSY8o8y+wqQtAMkfsUMaQLRrcFHAZJ2gMSv\niCHVnkzHBnnadzJA0g6Q+BUxpCFEjxoYBUjaARK/4oW0/Tg6Rfs9uLICJO0AiV/xQrqR6GUT\nowBJO0DiV7SQ3juUzjEyCpC0AyR+RQvpAmrytpFRgKQdIPErVkijiK41MwqQtAMkfkUKaeop\ndNRmM6MASTtA4lekkG4mesDQKEDSDpD4FSek3cfR92sMzQIk7QCJX3FC+hvR86ZmAZJ2gMSv\nOCFdQN+NmZoFSNoBEr+ihFT7NepoaBQgBQiQ+BUlpDlEfzU0CpACBEj8ihLS3dRoiaFRgBQg\nQOJXlJDK6aTgL+hLBUjaARK/YoS0owldBkiA5BEgsecQPQRIgOQRIHG7jo54CZAAySNA4vYT\nOnc6IAGSR4DE7AOiQYBkAZJHgMTsCaK3AMkCJI8Aidkl9K0YIFmA5BEg8ao/jq6wAMkCJI8A\nidfrzh+gACQLkDwCJF5/JvoQkJwASRkg8TqLfm4BkhMgKQMkVnsOp96AFA+QlAESq2qiKYAU\nD5CUARKr39MhuwApHiApAyRW/0MVFiDFAyRlgMTp40bU3wKkeICkDJA4jSRabAFSPEBSBkic\nOtPX66ywQZovnG62V1O7VPRYaCkX7gBJGSAxip2Q+PPLxQfJD4ZcSKNbVNnNs6+WGDDjzvLl\nqoUiQFIGSIxWEj3ufC4+SH4w5EJ66JrE51hlH8tq6NpHsVAFSMoAidEQonXO5+KD5AdDLqQb\n+u9c7fw13C1iuv1xZHmDe6E6S0BSBkiM2tAP45+LD5IfDLmQ2l18mhDXb7ZWiZX2oRlim3uh\nOktAUgZIhas9knrGF8UHyQ+GHEgHml+3oWZR264NC8T79sElYp17oTpLQFIGSIWbTZS4akUH\nyRcG5cPf1WLDKrHaXswUW90L1SmWV7+r0eQFOqdSNnWWsVGzpxobtWCSsVFLxxgbtbLqbWOz\nxr4RdMK11HhRfPHS/MCXJtU0/q2hWv3omW8MSkhrxNItYqa9GF1W716oTrFo/KsajZuicypl\nEyYZGzV5grFRU8YaG/VKlbFR06qmGZtVVR10wk/pp4nFl3NrGL+oACQmhhxIy8rmxXfYFet0\nt2XFeva23AtVuGunDHftCra9CfVNrIrurp0vDDmQGrq1fnLeE80edx4oH7FiUNly1UIRICkD\npIKNIZqdWBUdJF8Ycu/a7RjQplnlROdRverOFd3jP/bcC3eApAyQCtaTvro/sSo6SL4w4Ll2\nrgDJR4Eh/ZjaJFfFB8lPgOQKkHwUFNI6oiHJJSBZgOQRIBXqcaKVySUgWYDkESAVqj19O/Un\nmAHJAiSPAElZ3VvzXxkzfMifbrv28q9R59RWQLIAySNAUlXXgrIamdoMSBYgeQRIqu5NGTry\n2yeJLjWpzYBkAZJHgKRoQRP65Ywlqzduj8nbAckCJI8Ayd3nJ9Hhb6mOACQLkDwCJHediYYq\njwAkC5A8AiRXY4jOjSmPASQLkDwCpNw+PJa+uVl9FCBZgOQRIOXUcDbRZI/jAMkCJI8AKaf+\nRDd4HQdIFiB5BEhySw+ln9d4HQlIFiB5BEhSe35Kh3t/nwDJAiSPAEmqG9Fg72MByQIkjwAp\nu/FEZynfXjQRIFmA5BEgZfXRcXTsh3mOByQLkDwCpEwN56TeCdIjQLIAySNAyvRXSr41sVeA\nZAGSR4CUrv4HdPKevHsAkgVIHgFSuglET+XfA5AsQPIIkNK1oq/n/4EESE6ApAyQUv2rEd1a\nYBdAsgDJI0BK1ZsarS2wCyBZgOQRIKXO8lg6r9A+gGQBkkeAlGy496sn0gGSBUgeAVKy39AP\nlH9XKztAsgDJI0BKNJ/owYI7AZIFSB4BUqJKOlz5F1OlAMkCJI8AKd4nh1OXwnsBkgVIHgFS\nvPuJFhfeC5AsQPIIkJzqf0j/yxgFSBYgeQRIToWfZhcPkCxA8giQnAo/zS4eIFmA5BEgWayn\n2cUDJAuQPAIki/U0u3iAZAGSR4DEe5pdPECyAMkjQLKsJ4heYo0CJAuQPAIk3tPs4gGSBUge\nARLvaXbxAMkCJI8Aifc0u3iAZAGSR4DEe5pdPECyAMkjQOI9zS4eIFmA5FFEIa0bk+5E+j/u\nKECyAMmjaEIa8xXKivM0u3iAZAGSR5GENLBxtqMfe/5hsdwAyQIkjyIIqe46omPGLEu1gu0I\nkJwASVn0IH1+AdH39L4XgGQBkkeRg7TpN0S//o/eKECyAMmjqEFaeSJRm92aowDJAiSPIgZp\n+tFE19bpjgIkC5A8ihakJw+hJkP1RwGSBUgeRQlSrB/RkZMCjAIkC5A8ihCkusuJTlgaZBQg\nWYDkUXQg1V1G9IuNgUYBkgVIHkUGkuOofEewUYBkAZJHUYFUfwXRb7YFHAVIFiB5FBFIRhwB\nkhMgKYsGJDOOAMkJkJRFApIhR4DkBEjKogDJlCNAcgIkZRGA9JEpR4DkBEjKwg9pTAdTjgDJ\nCZCUhR3SvlVNg///USpAsgDJo9BC2v/OpMHXtfxBI7Id7TRxmSxAigdIykIJ6ePh7X6UeVsG\nYcoRIDkBkrLwQVrzwGkpRMeWX9HvnwM1Xw6rCJAsQPIoXJDq5/Y5KU7oO53uGbX4s/g21h9j\n5gVIFiB5FCZIM646Pq7ov+9c0pDZCkjJAMkVICmaU+EganLm4HXydkBKBkiuAMnV4la2oq92\nePZT1zGAlAyQXAFSTqs6NrIZ9d6iOg6QkgGSK0CSeqdLY6LDrt2sPhaQkgGSK0DK6oNrmxAd\n2uV9r+MBKRkguQKkdO9ddQhRk6s8GQFSOkByBUjJ3uxo36lr3Om9fPsAUjJAcgVI8RZe0Mhm\ndNnK/HsBUjJAcgVIdvMvJOd3o3cL7QdIyQDJFSBZM063GR3WZV2B3SxASgdIriINqX79lL/0\n+JnN6KjbWEQAKRkguYoopH1vVd13+a8PTzyz+7h+zFe9AlIyQHIVNUh73ho3sGeLExulX2L0\nzbMHsf/GESAlAyRXIYd04MNZfUY9M3z44IceuuuOO7qdeULmDyc3/nHbPk8u8PUODICUDJBc\nhRFS3fb333712ftvaCdOyPzkyer406+87/kVe/0PBqRkgOQqFJC2/2vxy6Me+WOvy84/8/9+\ncvwRKjzOA3PHnnBGtz+/sFT/7UsAKRkguSoBSPu2J/tsw9pli2dUj3lu+NCH+t3R+9ouHdu1\nOkP8/FtN1HCO/+X51/R7cvxDqzb8e/t23b/1KgVIyUxBOqdVpqaC2cm/SK3+6ycB++73/ez9\nw2PzdPRR+Y7NyeOf+iKpybdOFuf89orr7vjzX58aO2/9vsQ36yD+VfMgAZLdu30e0uiaO3RO\npeyGW4yNuuUGY6PuvNrYqHu7+Nr9kVHVS9Z53GPbP3afme+63ST3a/10m5XnubE+e73AE5uy\nWlDwyRu8DEGK1eucqi5m5tzt6s2N0rsu6rT/xHcERxn8FvoYZepcDUFCKNoBEkIGAiSEDARI\nCBkIkBAyECAhZCBAQshAgISQgQAJIQMBEkIGAiSEDARICBkIkBAyECAhZCBAQshAgISQgQAJ\nIQMBEkIGAiSEDARICBnIEKS62vSyNvPeIfvSbyzRsD+z64H0cn9615hy1wNZuzZkdk1vrM+c\n64HMu3DsK7BrbdaumXPN7Jp1AQtdlwMFrkt91q6Zcy10XWpV1yX7Apr7YtcflC92wQsY+Iud\nda7mvtiBMgTpQOZK7Mtc35r0lajPvBtubdau6SsRq0l/Peqyds1c373pXRuyds18afZndq2p\nz+yauYCZXdUXMGtX9QVUXhfVBYwVuoB7sy5getesC7g/6wKmd/W4gOldPS6g3hdbdQHrClxA\nvS+2xwVM71ro1uDri626gFnXJVCAlLyAgARIQQKk5AUEJEAKEiAlLyAgAVKQACl5AQEJkIJk\nCNKInmNTvViVXr4wJrWqejFzfHpZdVX/1HLMC2MVu2afqiqzq2pqr9sy55q1a/5R2Rcws+vt\n17PPNXuUaur9XdNbX+RfF+XURzqNyrurxyjVrsM7DU/vWuArVOgCPnfF4Myu+Uepv9hZt4Zu\nf+Kea8Hb2O/6KK+L6gL2HGFGgCFIF4hOV/iuozjT/4nUVYrTTY26oqkwNupMcampUa3Eb02N\naivamhp1kWhpapTBW8MV/FtDJ3GBGQGGIF0magrvlNu/xY1mzt3+sS1+a2qUdbEw9i76Nwlj\nf2FhkJhratSL4jlToxaKB0yN+khcb2qUVXY+d88acZmZswQkV4DED5BSAZIrQOIHSKkAyRUg\n8QOkVIDkCpD4AVIqQHIFSPwAKRUguQIkfoCUyhCky8XewjvlttEkpItMjbLai4bCO/G6SXxg\napRBSFXin6ZGLTIHaZNBSOXs/xzaKy43c5aGID0/QONEB+6qNnPudoOeNTZq5F+MjZrat7bw\nTryW3bLN1KgPbl5vatTOW183Naruj1NMjbIe/gd71wHPmzlLvEIWIQMBEkIGAiSEDARICBkI\nkBAyECAhZCBAQshAgISQgbQg9W9r+mKwe0Qkeim9ZZNY+eXPKs5RncXI+Of6lmKm3oTojAqa\naUh1oy5p1mH4/qyF2R45fXq8TektuTezqV0qeiy0P+8Z3K7Z5eNjlneFZ1nWsP7S0MCjXk8y\nqdIflf2VbfhdvmdZdRad45/tM/W4naWuV8HvFn9U7YhLKrrPDnSp0l/2tb1bnD8sz1uhFhyV\nvl6Fbw0BMw3p7+WPz3uq+V1ZC7M9ckbulpyb2XQxYMad5cstq2+LF+cPzPp3XWOWFXv9zP7S\n0MCjtlQ5PVS+Rn9U9ld2RN6nK3a+XPzH+fzA5bm3s42Jt9FJX6+C3y3+qL5nPzf3gVNnBRiV\n/rK/W3Hr9EfLHw0wKn29Ct8aAqYNqebBNqdfMLTesi58aXSnipu3JI5paD7Ecp4VuTW9MHdR\n42XdzF7p0rz9izH7Zrawb8t2Dyef1Bar7GNfiq59rF1irH3w6l4BZllzK4Tonz00+Kh4tZ3y\nPGu00Kjsr+ySM9rnhXR3+2ecU7R+0rmdZX3HbhZrrezrVfi7xR61QcywD/7pSv1Llfla3d6z\nwXmDKu/nEBcalb5ejFtDwLQh9W/x1OxHy0bbl7rr03v/0y55I9vSwXkS40KxKr0wd1HjZW5m\nY8oenjvk1Kfsm1nL/rOGlvVNXgAx3f44srxhU7+N9uK2GwLMsnavX9++f/bQ4KPiDfldnvsY\nBa9h5iu7teVLN+eF9Mdhzg16efla53aW+Y51uG7yHiv7ehX+brFHTY9rfFns0R6V/lrtKXs5\nz5VjXarU9WLcGgKmDen2CfbiunvsS93dvlUMy34BSN2tLffKC3MlfxUfYO1r+Zh98LGm9ZvE\nrfbiGfHv+PGr4neDZgjnqdLblj99Rp67GAVnOVX2zxkacJTThtM3BLxUia9sXff7rQKQ1ooP\nLWvgjVud21nmO9Yx+S+CfL3yfrfYo94W8+3FQOF9FQuNcop/rTaIV29p0e6veV7pxhmVul6F\nbg0BC/A7UuyT6Wf+0b7UQ+31M1m/NW3o2XShvDBY8lfxNdY74o3PPvtsodi8SUyzt2+P/4to\nWQviL6VbItbZH6uaXXjLrgCznOLf0eyhAUc53Zj3NSecUYmv7JDK/YUgxdo/bTWcN3Fr4leI\n1Hfs4eTx0vXK/91ij2rofu7YeYPPEO9qj3KKf60Wi7OHvvbsmX/w/vHNGZW6XoVuDQHzC2m/\n80ucA2ntTa0rrj/fudTPWNmQdg0o671RWhgtfcdnVvLhr2WbxDL7YOz0xOtKVonV9seZqXv7\nj3Tj3InymOWU/IkkDQ0yym6NyPtlKTwq+ZWdc5b9i3YBSNawSuvNsh3x21nmO5Z6tU7W9Sr0\n3eKP2jmgbYvbx+f56V1olFP8a7VMOO+COj7xeILmKOl65b01BMwvpJudV+be1db6vNkdbzVY\nN7kgbWx7ydvywmzpm9lykXx8eJOYan/cJl6LH9oS/6dpdFn9/FucH++vic/0ZzlV9s8eGnyU\n3b3XeV8kzqjUVzb1H07ej6Tbt7O1YuPgXpZzO8v5jlnS9Sr43eKPijfyjDyPEBQY5RT/Wm0U\nzo+SNcL7tYMFR6WuF+PWEDC/kP58Vq0V69TT/iFuf5dr2+ZCaujYa5+8MFz6Zraz6Qv2x8k3\nHdgketv/zjxzWuLHRazT3faHnr3tm+Gb9sG/Nc3zvxCFZjnFv6PpocFH2b9Knz450DVMf2U/\nWGjX5cqFmz1H2bezWPun2o6P385yvmNW9vUq/N1ij9p31Vj715LL8rwCvdAop/jXqv4C55Hv\n5/Pc+guNSl8vxq0hYH4hLRZ95z0sJlmbyvovn9ez4pL3ZEhviYHjnHakF4Yvb+YxrWHNnlz4\nVNOh9r/Xbe59bVjZ4OTm6WLEikFly636zudPmP/YacODzLJSt/7UUAOj7F/IvW/5nFHyV7bQ\nXTtr2Nll2+K3s5zvmJV9vQp/t9ijrHsqnp5x4zl57iYWHGWlvlbjyobO+0ezgfqj0teLcWsI\nmO8HG6o7NnP+b8Oa1r55l6nvdhuWuNTPJe+uTEre3VibXpi9uFk3s4bRlzdrP7LB+rTH+7e0\naP9k+q5EdeeK7ovsz5/c06Z55fh872NSeFb61p8aamDUfRcGu4byV7YgpLXC/tbEf4WQv2NW\n9vUq/N1ij7L2Dmzd6pYCv24VGJX+Wk3u3LzjqDzv6VRoVOZ6Fb41BAxPWkXIQICEkIEACSED\nARJCBgIkhAwESAgZCJAQMhAgIWQgQELIQJqQMq/xd7/qv9D7GxjJ4AUI/agivVjFOUo3TUjp\n18K7X/Vf8P0NjGTwAoR+VJFerOIcpZsepPRr4d2v+i/8/gYmMngBQj+qSC9WcY7STg9S5q0Z\nXK/6L/z+BiYyeAFCP6pIL1ZxjtIuwIMNzmvh3a/6L/z+BsYyeAFCP6pIL1ZxjtJJH1L8tfDu\nV/0Xfn8DUxm8AKEfVaQXqzhHaaULKflaePer/gu/v4GZDF6A0I8q0otVnKM004SUei28+1X/\nhd/fwEgGL0DoRxXpxSrOUbppPmqXei28+1X/hd/fwEQGL0DoRxXpxSrOUdrpQcq8xt/9qv+C\n729gIoMXIPSjivRiFeco7fQgZb3G3/2q/0Lvb2Aigxcg9KOK9GIV5yjt8Fw7hAwESAgZCJAQ\nMhAgIWQgQELIQICEkIEACSEDARJCBgIkhAwESAgZCJAQMhAgIWQgQELIQICEkIEACSED/T9J\nlrpU4gIEUgAAAABJRU5ErkJggg==",
"text/plain": [
"plot without title"
]
@@ -490,106 +76,30 @@
},
{
"cell_type": "code",
- "execution_count": 14,
+ "execution_count": 6,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<time datetime=\"2020-03-27\">2020-03-27</time>"
- ],
- "text/latex": [
- "2020-03-27"
- ],
- "text/markdown": [
- "2020-03-27"
- ],
- "text/plain": [
- "[1] \"2020-03-27\""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"today <- as.Date(\"2020-03-27\")\n",
- "today"
+ "# today"
]
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 7,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<ol class=list-inline>\n",
- "\t<li><time datetime=\"2020-03-25\">2020-03-25</time></li>\n",
- "\t<li><time datetime=\"2020-03-26\">2020-03-26</time></li>\n",
- "\t<li><time datetime=\"2020-03-27\">2020-03-27</time></li>\n",
- "\t<li><time datetime=\"2020-03-28\">2020-03-28</time></li>\n",
- "\t<li><time datetime=\"2020-03-29\">2020-03-29</time></li>\n",
- "\t<li><time datetime=\"2020-03-30\">2020-03-30</time></li>\n",
- "\t<li><time datetime=\"2020-03-31\">2020-03-31</time></li>\n",
- "\t<li><time datetime=\"2020-04-01\">2020-04-01</time></li>\n",
- "\t<li><time datetime=\"2020-04-02\">2020-04-02</time></li>\n",
- "\t<li><time datetime=\"2020-04-03\">2020-04-03</time></li>\n",
- "\t<li><time datetime=\"2020-04-04\">2020-04-04</time></li>\n",
- "</ol>\n"
- ],
- "text/latex": [
- "\\begin{enumerate*}\n",
- "\\item 2020-03-25\n",
- "\\item 2020-03-26\n",
- "\\item 2020-03-27\n",
- "\\item 2020-03-28\n",
- "\\item 2020-03-29\n",
- "\\item 2020-03-30\n",
- "\\item 2020-03-31\n",
- "\\item 2020-04-01\n",
- "\\item 2020-04-02\n",
- "\\item 2020-04-03\n",
- "\\item 2020-04-04\n",
- "\\end{enumerate*}\n"
- ],
- "text/markdown": [
- "1. 2020-03-25\n",
- "2. 2020-03-26\n",
- "3. 2020-03-27\n",
- "4. 2020-03-28\n",
- "5. 2020-03-29\n",
- "6. 2020-03-30\n",
- "7. 2020-03-31\n",
- "8. 2020-04-01\n",
- "9. 2020-04-02\n",
- "10. 2020-04-03\n",
- "11. 2020-04-04\n",
- "\n",
- "\n"
- ],
- "text/plain": [
- " [1] \"2020-03-25\" \"2020-03-26\" \"2020-03-27\" \"2020-03-28\" \"2020-03-29\"\n",
- " [6] \"2020-03-30\" \"2020-03-31\" \"2020-04-01\" \"2020-04-02\" \"2020-04-03\"\n",
- "[11] \"2020-04-04\""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
"# What is our time window?\n",
"# 3 days observed (today and yesterday and the day before)\n",
"# 8-day ahead forecast\n",
"days <- today + -2:8\n",
- "days"
+ "# days"
]
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
@@ -637,7 +147,7 @@
},
{
"cell_type": "code",
- "execution_count": 20,
+ "execution_count": 36,
"metadata": {},
"outputs": [
{
@@ -650,17 +160,17 @@
"\t<tr><th scope=col><date></th><th scope=col><dbl></th><th scope=col><dbl></th><th scope=col><lgl></th></tr>\n",
"</thead>\n",
"<tbody>\n",
- "\t<tr><td>2020-03-25</td><td> 4337.00</td><td> 37323.00</td><td> TRUE</td></tr>\n",
- "\t<tr><td>2020-03-26</td><td> 6615.00</td><td> 43938.00</td><td> TRUE</td></tr>\n",
- "\t<tr><td>2020-03-27</td><td> 6933.00</td><td> 50871.00</td><td> TRUE</td></tr>\n",
- "\t<tr><td>2020-03-28</td><td>18465.83</td><td> 69336.83</td><td>FALSE</td></tr>\n",
- "\t<tr><td>2020-03-29</td><td> NA</td><td> NA</td><td>FALSE</td></tr>\n",
- "\t<tr><td>2020-03-30</td><td>25168.81</td><td> 94505.64</td><td>FALSE</td></tr>\n",
- "\t<tr><td>2020-03-31</td><td> NA</td><td> NA</td><td>FALSE</td></tr>\n",
- "\t<tr><td>2020-04-01</td><td>34304.92</td><td>128810.56</td><td>FALSE</td></tr>\n",
- "\t<tr><td>2020-04-02</td><td> NA</td><td> NA</td><td>FALSE</td></tr>\n",
- "\t<tr><td>2020-04-03</td><td>46757.37</td><td>175567.93</td><td>FALSE</td></tr>\n",
- "\t<tr><td>2020-04-04</td><td> NA</td><td> NA</td><td>FALSE</td></tr>\n",
+ "\t<tr><td>2020-03-25</td><td> 2929.00</td><td>25233.00</td><td> TRUE</td></tr>\n",
+ "\t<tr><td>2020-03-26</td><td> 3922.00</td><td>29155.00</td><td> TRUE</td></tr>\n",
+ "\t<tr><td>2020-03-27</td><td> 3809.00</td><td>32964.00</td><td> TRUE</td></tr>\n",
+ "\t<tr><td>2020-03-28</td><td>10099.66</td><td>43063.66</td><td>FALSE</td></tr>\n",
+ "\t<tr><td>2020-03-29</td><td> NA</td><td> NA</td><td>FALSE</td></tr>\n",
+ "\t<tr><td>2020-03-30</td><td>13194.04</td><td>56257.70</td><td>FALSE</td></tr>\n",
+ "\t<tr><td>2020-03-31</td><td> NA</td><td> NA</td><td>FALSE</td></tr>\n",
+ "\t<tr><td>2020-04-01</td><td>17236.49</td><td>73494.18</td><td>FALSE</td></tr>\n",
+ "\t<tr><td>2020-04-02</td><td> NA</td><td> NA</td><td>FALSE</td></tr>\n",
+ "\t<tr><td>2020-04-03</td><td>22517.48</td><td>96011.66</td><td>FALSE</td></tr>\n",
+ "\t<tr><td>2020-04-04</td><td> NA</td><td> NA</td><td>FALSE</td></tr>\n",
"</tbody>\n",
"</table>\n"
],
@@ -670,17 +180,17 @@
" date & per.day & cumulative & observed\\\\\n",
" <date> & <dbl> & <dbl> & <lgl>\\\\\n",
"\\hline\n",
- "\t 2020-03-25 & 4337.00 & 37323.00 & TRUE\\\\\n",
- "\t 2020-03-26 & 6615.00 & 43938.00 & TRUE\\\\\n",
- "\t 2020-03-27 & 6933.00 & 50871.00 & TRUE\\\\\n",
- "\t 2020-03-28 & 18465.83 & 69336.83 & FALSE\\\\\n",
- "\t 2020-03-29 & NA & NA & FALSE\\\\\n",
- "\t 2020-03-30 & 25168.81 & 94505.64 & FALSE\\\\\n",
- "\t 2020-03-31 & NA & NA & FALSE\\\\\n",
- "\t 2020-04-01 & 34304.92 & 128810.56 & FALSE\\\\\n",
- "\t 2020-04-02 & NA & NA & FALSE\\\\\n",
- "\t 2020-04-03 & 46757.37 & 175567.93 & FALSE\\\\\n",
- "\t 2020-04-04 & NA & NA & FALSE\\\\\n",
+ "\t 2020-03-25 & 2929.00 & 25233.00 & TRUE\\\\\n",
+ "\t 2020-03-26 & 3922.00 & 29155.00 & TRUE\\\\\n",
+ "\t 2020-03-27 & 3809.00 & 32964.00 & TRUE\\\\\n",
+ "\t 2020-03-28 & 10099.66 & 43063.66 & FALSE\\\\\n",
+ "\t 2020-03-29 & NA & NA & FALSE\\\\\n",
+ "\t 2020-03-30 & 13194.04 & 56257.70 & FALSE\\\\\n",
+ "\t 2020-03-31 & NA & NA & FALSE\\\\\n",
+ "\t 2020-04-01 & 17236.49 & 73494.18 & FALSE\\\\\n",
+ "\t 2020-04-02 & NA & NA & FALSE\\\\\n",
+ "\t 2020-04-03 & 22517.48 & 96011.66 & FALSE\\\\\n",
+ "\t 2020-04-04 & NA & NA & FALSE\\\\\n",
"\\end{tabular}\n"
],
"text/markdown": [
@@ -689,32 +199,32 @@
"\n",
"| date <date> | per.day <dbl> | cumulative <dbl> | observed <lgl> |\n",
"|---|---|---|---|\n",
- "| 2020-03-25 | 4337.00 | 37323.00 | TRUE |\n",
- "| 2020-03-26 | 6615.00 | 43938.00 | TRUE |\n",
- "| 2020-03-27 | 6933.00 | 50871.00 | TRUE |\n",
- "| 2020-03-28 | 18465.83 | 69336.83 | FALSE |\n",
- "| 2020-03-29 | NA | NA | FALSE |\n",
- "| 2020-03-30 | 25168.81 | 94505.64 | FALSE |\n",
- "| 2020-03-31 | NA | NA | FALSE |\n",
- "| 2020-04-01 | 34304.92 | 128810.56 | FALSE |\n",
- "| 2020-04-02 | NA | NA | FALSE |\n",
- "| 2020-04-03 | 46757.37 | 175567.93 | FALSE |\n",
- "| 2020-04-04 | NA | NA | FALSE |\n",
+ "| 2020-03-25 | 2929.00 | 25233.00 | TRUE |\n",
+ "| 2020-03-26 | 3922.00 | 29155.00 | TRUE |\n",
+ "| 2020-03-27 | 3809.00 | 32964.00 | TRUE |\n",
+ "| 2020-03-28 | 10099.66 | 43063.66 | FALSE |\n",
+ "| 2020-03-29 | NA | NA | FALSE |\n",
+ "| 2020-03-30 | 13194.04 | 56257.70 | FALSE |\n",
+ "| 2020-03-31 | NA | NA | FALSE |\n",
+ "| 2020-04-01 | 17236.49 | 73494.18 | FALSE |\n",
+ "| 2020-04-02 | NA | NA | FALSE |\n",
+ "| 2020-04-03 | 22517.48 | 96011.66 | FALSE |\n",
+ "| 2020-04-04 | NA | NA | FALSE |\n",
"\n"
],
"text/plain": [
" date per.day cumulative observed\n",
- "1 2020-03-25 4337.00 37323.00 TRUE \n",
- "2 2020-03-26 6615.00 43938.00 TRUE \n",
- "3 2020-03-27 6933.00 50871.00 TRUE \n",
- "4 2020-03-28 18465.83 69336.83 FALSE \n",
- "5 2020-03-29 NA NA FALSE \n",
- "6 2020-03-30 25168.81 94505.64 FALSE \n",
- "7 2020-03-31 NA NA FALSE \n",
- "8 2020-04-01 34304.92 128810.56 FALSE \n",
- "9 2020-04-02 NA NA FALSE \n",
- "10 2020-04-03 46757.37 175567.93 FALSE \n",
- "11 2020-04-04 NA NA FALSE "
+ "1 2020-03-25 2929.00 25233.00 TRUE \n",
+ "2 2020-03-26 3922.00 29155.00 TRUE \n",
+ "3 2020-03-27 3809.00 32964.00 TRUE \n",
+ "4 2020-03-28 10099.66 43063.66 FALSE \n",
+ "5 2020-03-29 NA NA FALSE \n",
+ "6 2020-03-30 13194.04 56257.70 FALSE \n",
+ "7 2020-03-31 NA NA FALSE \n",
+ "8 2020-04-01 17236.49 73494.18 FALSE \n",
+ "9 2020-04-02 NA NA FALSE \n",
+ "10 2020-04-03 22517.48 96011.66 FALSE \n",
+ "11 2020-04-04 NA NA FALSE "
]
},
"metadata": {},
@@ -722,80 +232,50 @@
}
],
"source": [
- "generate_country_predictions(ts_country)"
+ "af <- generate_country_predictions(ts_country)\n",
+ "af"
]
},
{
"cell_type": "code",
- "execution_count": 30,
- "metadata": {},
- "outputs": [],
- "source": [
- "suppressPackageStartupMessages(library(forecast)) #R Package by Rob Hyndman that augments many forecasting capabilities of R\n",
- "# suppressPackageStartupMessages(library(lubridate)) #Improved time and date handling\n",
- "suppressPackageStartupMessages(library(ggplot2)) #Allows for commonly used graphing functions\n",
- "# suppressPackageStartupMessages(library(TTR))"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 24,
+ "execution_count": 38,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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B8gMdO3QjNIhx7g/xxAsg+QmOlboRGk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\nAAAAAElFTkSuQmCC",
"text/plain": [
- "plot without title"
+ " [,1]\n",
+ "2020-03-25 25233.00\n",
+ "2020-03-26 29155.00\n",
+ "2020-03-27 32964.00\n",
+ "2020-03-28 43063.66\n",
+ "2020-03-29 NA\n",
+ "2020-03-30 56257.70\n",
+ "2020-03-31 NA\n",
+ "2020-04-01 73494.18\n",
+ "2020-04-02 NA\n",
+ "2020-04-03 96011.66\n",
+ "2020-04-04 NA"
]
},
- "metadata": {
- "image/png": {
- "height": 420,
- "width": 420
- },
- "text/plain": {
- "height": 420,
- "width": 420
- }
- },
+ "metadata": {},
"output_type": "display_data"
}
],
"source": [
- "autoplot(ts_country)"
+ "xts(af$cumulative, af$date)"
]
},
{
"cell_type": "code",
- "execution_count": 73,
+ "execution_count": 10,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<time datetime=\"2020-03-27\">2020-03-27</time>"
- ],
- "text/latex": [
- "2020-03-27"
- ],
- "text/markdown": [
- "2020-03-27"
- ],
- "text/plain": [
- "[1] \"2020-03-27\""
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
- "# ts_france\n",
- "# class(ts_france)\n",
- "# summary(ts_france)\n",
- "s <- start(ts_country)\n",
- "end(ts_country)"
+ "suppressPackageStartupMessages(library(forecast)) #R Package by Rob Hyndman that augments many forecasting capabilities of R\n",
+ "suppressPackageStartupMessages(library(lubridate)) #Improved time and date handling\n",
+ "suppressPackageStartupMessages(library(ggplot2)) #Allows for commonly used graphing functions\n",
+ "# suppressPackageStartupMessages(library(TTR))"
]
},
{
@@ -803,268 +283,28 @@
"execution_count": null,
"metadata": {},
"outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 74,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "2020"
- ],
- "text/latex": [
- "2020"
- ],
- "text/markdown": [
- "2020"
- ],
- "text/plain": [
- "[1] 2020"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
"source": [
- "year(s)"
+ "# autoplot(ts_country)"
]
},
{
"cell_type": "code",
- "execution_count": 70,
+ "execution_count": 11,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
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- "\t<li><time datetime=\"2020-03-21\">2020-03-21</time></li>\n",
- "\t<li><time datetime=\"2020-03-22\">2020-03-22</time></li>\n",
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- "\t<li><time datetime=\"2020-03-24\">2020-03-24</time></li>\n",
- "\t<li><time datetime=\"2020-03-25\">2020-03-25</time></li>\n",
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- "</ol>\n"
+ "<time datetime=\"2020-03-27\">2020-03-27</time>"
],
"text/latex": [
- "\\begin{enumerate*}\n",
- "\\item 2020-01-22\n",
- "\\item 2020-01-23\n",
- "\\item 2020-01-24\n",
- "\\item 2020-01-25\n",
- "\\item 2020-01-26\n",
- "\\item 2020-01-27\n",
- "\\item 2020-01-28\n",
- "\\item 2020-01-29\n",
- "\\item 2020-01-30\n",
- "\\item 2020-01-31\n",
- "\\item 2020-02-01\n",
- "\\item 2020-02-02\n",
- "\\item 2020-02-03\n",
- "\\item 2020-02-04\n",
- "\\item 2020-02-05\n",
- "\\item 2020-02-06\n",
- "\\item 2020-02-07\n",
- "\\item 2020-02-08\n",
- "\\item 2020-02-09\n",
- "\\item 2020-02-10\n",
- "\\item 2020-02-11\n",
- "\\item 2020-02-12\n",
- "\\item 2020-02-13\n",
- "\\item 2020-02-14\n",
- "\\item 2020-02-15\n",
- "\\item 2020-02-16\n",
- "\\item 2020-02-17\n",
- "\\item 2020-02-18\n",
- "\\item 2020-02-19\n",
- "\\item 2020-02-20\n",
- "\\item 2020-02-21\n",
- "\\item 2020-02-22\n",
- "\\item 2020-02-23\n",
- "\\item 2020-02-24\n",
- "\\item 2020-02-25\n",
- "\\item 2020-02-26\n",
- "\\item 2020-02-27\n",
- "\\item 2020-02-28\n",
- "\\item 2020-02-29\n",
- "\\item 2020-03-01\n",
- "\\item 2020-03-02\n",
- "\\item 2020-03-03\n",
- "\\item 2020-03-04\n",
- "\\item 2020-03-05\n",
- "\\item 2020-03-06\n",
- "\\item 2020-03-07\n",
- "\\item 2020-03-08\n",
- "\\item 2020-03-09\n",
- "\\item 2020-03-10\n",
- "\\item 2020-03-11\n",
- "\\item 2020-03-12\n",
- "\\item 2020-03-13\n",
- "\\item 2020-03-14\n",
- "\\item 2020-03-15\n",
- "\\item 2020-03-16\n",
- "\\item 2020-03-17\n",
- "\\item 2020-03-18\n",
- "\\item 2020-03-19\n",
- "\\item 2020-03-20\n",
- "\\item 2020-03-21\n",
- "\\item 2020-03-22\n",
- "\\item 2020-03-23\n",
- "\\item 2020-03-24\n",
- "\\item 2020-03-25\n",
- "\\item 2020-03-26\n",
- "\\item 2020-03-27\n",
- "\\end{enumerate*}\n"
+ "2020-03-27"
],
"text/markdown": [
- "1. 2020-01-22\n",
- "2. 2020-01-23\n",
- "3. 2020-01-24\n",
- "4. 2020-01-25\n",
- "5. 2020-01-26\n",
- "6. 2020-01-27\n",
- "7. 2020-01-28\n",
- "8. 2020-01-29\n",
- "9. 2020-01-30\n",
- "10. 2020-01-31\n",
- "11. 2020-02-01\n",
- "12. 2020-02-02\n",
- "13. 2020-02-03\n",
- "14. 2020-02-04\n",
- "15. 2020-02-05\n",
- "16. 2020-02-06\n",
- "17. 2020-02-07\n",
- "18. 2020-02-08\n",
- "19. 2020-02-09\n",
- "20. 2020-02-10\n",
- "21. 2020-02-11\n",
- "22. 2020-02-12\n",
- "23. 2020-02-13\n",
- "24. 2020-02-14\n",
- "25. 2020-02-15\n",
- "26. 2020-02-16\n",
- "27. 2020-02-17\n",
- "28. 2020-02-18\n",
- "29. 2020-02-19\n",
- "30. 2020-02-20\n",
- "31. 2020-02-21\n",
- "32. 2020-02-22\n",
- "33. 2020-02-23\n",
- "34. 2020-02-24\n",
- "35. 2020-02-25\n",
- "36. 2020-02-26\n",
- "37. 2020-02-27\n",
- "38. 2020-02-28\n",
- "39. 2020-02-29\n",
- "40. 2020-03-01\n",
- "41. 2020-03-02\n",
- "42. 2020-03-03\n",
- "43. 2020-03-04\n",
- "44. 2020-03-05\n",
- "45. 2020-03-06\n",
- "46. 2020-03-07\n",
- "47. 2020-03-08\n",
- "48. 2020-03-09\n",
- "49. 2020-03-10\n",
- "50. 2020-03-11\n",
- "51. 2020-03-12\n",
- "52. 2020-03-13\n",
- "53. 2020-03-14\n",
- "54. 2020-03-15\n",
- "55. 2020-03-16\n",
- "56. 2020-03-17\n",
- "57. 2020-03-18\n",
- "58. 2020-03-19\n",
- "59. 2020-03-20\n",
- "60. 2020-03-21\n",
- "61. 2020-03-22\n",
- "62. 2020-03-23\n",
- "63. 2020-03-24\n",
- "64. 2020-03-25\n",
- "65. 2020-03-26\n",
- "66. 2020-03-27\n",
- "\n",
- "\n"
+ "2020-03-27"
],
"text/plain": [
- " [1] \"2020-01-22\" \"2020-01-23\" \"2020-01-24\" \"2020-01-25\" \"2020-01-26\"\n",
- " [6] \"2020-01-27\" \"2020-01-28\" \"2020-01-29\" \"2020-01-30\" \"2020-01-31\"\n",
- "[11] \"2020-02-01\" \"2020-02-02\" \"2020-02-03\" \"2020-02-04\" \"2020-02-05\"\n",
- "[16] \"2020-02-06\" \"2020-02-07\" \"2020-02-08\" \"2020-02-09\" \"2020-02-10\"\n",
- "[21] \"2020-02-11\" \"2020-02-12\" \"2020-02-13\" \"2020-02-14\" \"2020-02-15\"\n",
- "[26] \"2020-02-16\" \"2020-02-17\" \"2020-02-18\" \"2020-02-19\" \"2020-02-20\"\n",
- "[31] \"2020-02-21\" \"2020-02-22\" \"2020-02-23\" \"2020-02-24\" \"2020-02-25\"\n",
- "[36] \"2020-02-26\" \"2020-02-27\" \"2020-02-28\" \"2020-02-29\" \"2020-03-01\"\n",
- "[41] \"2020-03-02\" \"2020-03-03\" \"2020-03-04\" \"2020-03-05\" \"2020-03-06\"\n",
- "[46] \"2020-03-07\" \"2020-03-08\" \"2020-03-09\" \"2020-03-10\" \"2020-03-11\"\n",
- "[51] \"2020-03-12\" \"2020-03-13\" \"2020-03-14\" \"2020-03-15\" \"2020-03-16\"\n",
- "[56] \"2020-03-17\" \"2020-03-18\" \"2020-03-19\" \"2020-03-20\" \"2020-03-21\"\n",
- "[61] \"2020-03-22\" \"2020-03-23\" \"2020-03-24\" \"2020-03-25\" \"2020-03-26\"\n",
- "[66] \"2020-03-27\""
+ "[1] \"2020-03-27\""
]
},
"metadata": {},
@@ -1072,261 +312,61 @@
}
],
"source": [
- "inds <- seq(start(ts_country), end(ts_country), by = \"day\")\n",
- "inds"
+ "# ts_france\n",
+ "# class(ts_france)\n",
+ "# summary(ts_france)\n",
+ "s <- start(ts_country)\n",
+ "end(ts_country)"
]
},
{
"cell_type": "code",
- "execution_count": 91,
+ "execution_count": 42,
"metadata": {},
"outputs": [
{
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- "\\item 12\n",
- "\\item 12\n",
- "\\item 12\n",
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5DWDrGKqyOXyy2lDQfGxcXNdAPJo6+IlGfOe6QNUd8XjP7ekdDJUremANKaoTYw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\nhQAJIRUCJIRUCJAQUiFAQkiFAAkhFfp/061M00AwBZcAAAAASUVORK5CYII=",
"text/plain": [
- " [1] 0 0 0 0 0 1 4 4 4 5 8 10\n",
- "[13] 12 12 12 12 13 13 14 14 16 16 16 16\n",
- "[25] 16 16 16 16 16 16 16 16 16 16 17 27\n",
- "[37] 46 48 79 130 159 196 262 482 670 799 1040 1176\n",
- "[49] 1457 1908 2078 3675 4585 5795 7272 9257 12327 15320 19848 22213\n",
- "[61] 24873 29056 32986 37323 43938 50871"
+ "plot without title"
]
},
- "metadata": {},
+ "metadata": {
+ "image/png": {
+ "height": 420,
+ "width": 420
+ },
+ "text/plain": {
+ "height": 420,
+ "width": 420
+ }
+ },
"output_type": "display_data"
}
],
"source": [
- "as.numeric(ts_country)"
+ "# https://stats.stackexchange.com/questions/453978/choosing-the-right-forecast-model-for-exponential-data-covid19-forecast-packag\n",
+ "test <- ets(as.zoo(ts_country[50:66]), model = \"MMN\")\n",
+ "autoplot(test)"
]
},
{
"cell_type": "code",
- "execution_count": 92,
+ "execution_count": null,
"metadata": {},
"outputs": [],
"source": [
- "country <- ts(as.numeric(ts_country), start = c(2020, 1, 22), end = c(2020, 3, 27))"
+ "# str(f)"
]
},
{
"cell_type": "code",
- "execution_count": 93,
+ "execution_count": 43,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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pQvxGYSEtXpNqS3venF8ffDb784NNEY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\nAyQpZIPCTxG7AAAAAElFTkSuQmCC",
+ "image/png": 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l1Go6b7gc2b51a0Iq0MBkPxsXtLYK5YAAAASRDsAAAAJEGwAwAAkATBDgAAQBIE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\ndgAAAJL4Pxa1SzEikMa1AAAAAElFTkSuQmCC",
"text/plain": [
"plot without title"
]
@@ -1345,75 +385,63 @@
}
],
"source": [
- "plot(country)"
+ "test %>% forecast(., h = 8) %>% autoplot()"
]
},
{
"cell_type": "code",
- "execution_count": 52,
+ "execution_count": 44,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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IeU3Rw0HhrkC0LiBiHRatEP6R3orrOHkLhBSLRa1EM6cmXZHTp7CIkbhESrRT2k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\nYII=",
"text/plain": [
- "plot without title"
+ " Point Forecast Lo 80 Hi 80 Lo 95 Hi 95\n",
+ "18349 37502.40 26023.7185 49042.57 20125.78617 55191.13\n",
+ "18350 42597.91 19878.9035 73481.37 13165.68885 95105.34\n",
+ "18351 48385.76 13522.5871 116865.91 6765.01420 183239.24\n",
+ "18352 54960.01 8375.9341 200935.55 3051.81398 380844.40\n",
+ "18353 62427.52 4882.1728 357167.84 1204.31208 838277.78\n",
+ "18354 70909.65 2558.6001 623471.74 443.07267 1968055.06\n",
+ "18355 80544.26 1234.8986 1135906.80 149.14748 4558018.63\n",
+ "18356 91487.94 598.0028 2210950.15 41.87545 12619004.79"
]
},
- "metadata": {
- "image/png": {
- "height": 420,
- "width": 420
- },
- "text/plain": {
- "height": 420,
- "width": 420
- }
- },
+ "metadata": {},
"output_type": "display_data"
}
],
"source": [
- "# https://stats.stackexchange.com/questions/453978/choosing-the-right-forecast-model-for-exponential-data-covid19-forecast-packag\n",
- "test <- ets(as.zoo(ts_country[10:66]), model = \"MMN\")\n",
- "autoplot(test)"
+ "test %>% forecast(., h = 8) -> pred\n",
+ "pred"
]
},
{
"cell_type": "code",
- "execution_count": 54,
+ "execution_count": 16,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- " Point Forecast Lo 80 Hi 80 Lo 95 Hi 95\n",
- "67 57877.25 57178.92 58575.58 56809.25 58945.25\n",
- "68 64991.00 63582.88 66399.11 62837.47 67144.52\n",
- "69 72104.74 69792.43 74417.06 68568.36 75641.12\n",
- "70 79218.49 75852.89 82584.09 74071.25 84365.74\n",
- "71 86332.24 81785.62 90878.86 79378.78 93285.70\n",
- "72 93445.99 87604.08 99287.89 84511.56 102380.41\n",
- "73 100559.73 93317.98 107801.49 89484.42 111635.04\n",
- "74 107673.48 98934.78 116412.18 94308.79 121038.17"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
- "forecast(ts_country, h = 8)"
+ "mts <- xts(cbind(pred$mean, pred$lower, pred$upper), end(ts_country) + 1:8)"
]
},
{
"cell_type": "code",
- "execution_count": 49,
+ "execution_count": 17,
+ "metadata": {},
+ "outputs": [],
+ "source": [
+ "fts <- xts(cbind(pred$mean), end(ts_country) + 1:8)"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 20,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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Xl5TiFEamoETbATBDsAAICG8nrV48ddHTqYYmKUcNdyHoIdAABArWpcOXHsmMvj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\n4447LBZLTUOCoaJvdR0qNX3aREdHM1R0rK7jpFe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+ "image/png": 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Sh7Lky8y3RAShaQdNsipA7ycyABKReQ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\nichBQCJyEJCIHAQkIgf9f7HZ8ySVweK7AAAAAElFTkSuQmCC",
"text/plain": [
"plot without title"
]
@@ -1432,114 +460,55 @@
}
],
"source": [
- "test %>% forecast(., h = 8) %>% autoplot()"
+ "plot(rbind(ts_country, fts))"
]
},
{
"cell_type": "code",
- "execution_count": 50,
+ "execution_count": 33,
"metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- " Point Forecast Lo 80 Hi 80 Lo 95 Hi 95\n",
- "18349 57877.25 57178.92 58575.58 56809.25 58945.25\n",
- "18350 64991.00 63582.88 66399.11 62837.47 67144.52\n",
- "18351 72104.74 69792.43 74417.06 68568.36 75641.12\n",
- "18352 79218.49 75852.89 82584.09 74071.25 84365.74\n",
- "18353 86332.24 81785.62 90878.86 79378.78 93285.70\n",
- "18354 93445.99 87604.08 99287.89 84511.56 102380.41\n",
- "18355 100559.73 93317.98 107801.49 89484.42 111635.04\n",
- "18356 107673.48 98934.78 116412.18 94308.79 121038.17"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
+ "outputs": [],
"source": [
- "test %>% forecast(., h = 8)"
+ "m <- merge(cbind((ts_country), (fts)))"
]
},
{
"cell_type": "code",
- "execution_count": 64,
+ "execution_count": 35,
"metadata": {},
"outputs": [
{
"data": {
+ "image/png": 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OORnBwRwg4AAMDuCgqkslLEX1ZOCGEH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\n0NgBAAAAcMT/ASFcKPQtlTYeAAAAAElFTkSuQmCC",
"text/plain": [
- " Point Forecast Lo 80 Hi 80 Lo 95 Hi 95\n",
- "67 57877.25 57178.92 58575.58 56809.25 58945.25\n",
- "68 64991.00 63582.88 66399.11 62837.47 67144.52\n",
- "69 72104.74 69792.43 74417.06 68568.36 75641.12\n",
- "70 79218.49 75852.89 82584.09 74071.25 84365.74\n",
- "71 86332.24 81785.62 90878.86 79378.78 93285.70\n",
- "72 93445.99 87604.08 99287.89 84511.56 102380.41\n",
- "73 100559.73 93317.98 107801.49 89484.42 111635.04\n",
- "74 107673.48 98934.78 116412.18 94308.79 121038.17"
+ "plot without title"
]
},
- "metadata": {},
+ "metadata": {
+ "image/png": {
+ "height": 420,
+ "width": 420
+ },
+ "text/plain": {
+ "height": 420,
+ "width": 420
+ }
+ },
"output_type": "display_data"
}
],
"source": [
- "forecast(ts_country, 8)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 95,
- "metadata": {},
- "outputs": [],
- "source": [
- "\n",
- " d_country <- d_counts[`Province/State` == \"\" & `Country/Region`== \"France\"]\n",
- " dates <- colnames(d_country)\n",
- " dates <- as.Date(dates[5:length(dates)], format = \"%m/%d/%y\")\n",
- " count_country <- unlist(d_country)\n",
- " count_country <- as.numeric(count_country[5:length(count_country)])\n",
- " ts_country <- xts(x = count_country, order.by = dates)\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 122,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Time Series:\n",
- "Start = c(2020, 1) \n",
- "End = c(2020, 66) \n",
- "Frequency = 365 \n",
- " [1] 0 0 2 3 3 3 4 5 5 5 6 6\n",
- "[13] 6 6 6 6 6 11 11 11 11 11 11 11\n",
- "[25] 12 12 12 12 12 12 12 12 12 12 14 18\n",
- "[37] 38 57 100 130 191 204 285 377 653 949 1126 1209\n",
- "[49] 1784 2281 2281 3661 4469 4499 6633 7652 9043 10871 12612 14282\n",
- "[61] 16018 19856 22304 25233 29155 32964\n"
- ]
- }
- ],
- "source": [
- "library(lubridate)\n",
- "country <- ts(count_country, c(2020, 01, 22), frequency = 365)\n",
- "print(country)"
+ "plot(m, plot.type = \"single\")"
]
},
{
"cell_type": "code",
- "execution_count": 123,
+ "execution_count": 39,
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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Pw4pc4++Pr6Gl0LaWlp6lKqUh67ULz9bTabemi2iIwZM6ZFixbDhw//+OOPL168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",
"text/plain": [
"plot without title"
]
@@ -1558,748 +527,92 @@
}
],
"source": [
- "plot(country)"
+ "plot(merge(cbind((ts_country), (xts(af$cumulative, af$date)))), plot.type = \"single\")"
]
},
{
"cell_type": "code",
- "execution_count": 125,
+ "execution_count": 41,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
- " Point Forecast Lo 80 Hi 80 Lo 95 Hi 95\n",
- "2020.1808 36585.90 36090.743 37081.06 35828.6223 37343.18\n",
- "2020.1836 40482.07 39757.055 41207.09 39373.2549 41590.89\n",
- "2020.1863 44378.24 43302.742 45453.74 42733.4072 46023.08\n",
- "2020.1890 48274.41 46764.920 49783.91 45965.8428 50582.98\n",
- "2020.1918 52170.58 50162.727 54178.44 49099.8317 55241.33\n",
- "2020.1945 56066.75 53506.345 58627.16 52150.9469 59982.56\n",
- "2020.1973 59962.92 56802.005 63123.84 55128.7148 64797.13\n",
- "2020.2000 63859.10 60053.982 67664.21 58039.6763 69678.51\n",
- "2020.2027 67755.27 63265.461 72245.07 60888.7018 74621.83\n",
- "2020.2055 71651.44 66438.949 76863.92 63679.6248 79623.25\n",
- "2020.2082 75547.61 69576.497 81518.72 66415.5822 84679.63\n",
- "2020.2110 79443.78 72679.831 86207.72 69099.2142 89788.34\n",
- "2020.2137 83339.95 75750.435 90929.46 71732.7897 94947.11\n",
- "2020.2164 87236.12 78789.605 95682.63 74318.2907 100153.95\n",
- "2020.2192 91132.29 81798.487 100466.09 76857.4702 105407.11\n",
- "2020.2219 95028.46 84778.106 105278.82 79351.8957 110705.03\n",
- "2020.2247 98924.63 87729.386 110119.88 81802.9806 116046.28\n",
- "2020.2274 102820.80 90653.166 114988.44 84212.0087 121429.60\n",
- "2020.2301 106716.97 93550.214 119883.73 86580.1536 126853.79\n",
- "2020.2329 110613.14 96421.236 124805.05 88908.4939 132317.79\n",
- "2020.2356 114509.31 99266.882 129751.75 91198.0257 137820.60\n",
- "2020.2384 118405.48 102087.756 134723.21 93449.6726 143361.30\n",
- "2020.2411 122301.66 104884.421 139718.89 95664.2946 148939.02\n",
- "2020.2438 126197.83 107657.402 144738.25 97842.6950 154552.96\n",
- "2020.2466 130094.00 110407.192 149780.80 99985.6264 160202.37\n",
- "2020.2493 133990.17 113134.251 154846.08 102093.7959 165886.54\n",
- "2020.2521 137886.34 115839.017 159933.66 104167.8697 171604.81\n",
- "2020.2548 141782.51 118521.900 165043.12 106208.4769 177356.54\n",
- "2020.2575 145678.68 121183.289 170174.07 108216.2125 183141.15\n",
- "2020.2603 149574.85 123823.554 175326.15 110191.6410 188958.06\n",
- "2020.2630 153471.02 126443.045 180499.00 112135.2984 194806.74\n",
- "2020.2658 157367.19 129042.095 185692.29 114047.6950 200686.69\n",
- "2020.2685 161263.36 131621.023 190905.70 115929.3169 206597.41\n",
- "2020.2712 165159.53 134180.132 196138.93 117780.6282 212538.44\n",
- "2020.2740 169055.70 136719.712 201391.69 119602.0727 218509.33\n",
- "2020.2767 172951.87 139240.041 206663.71 121394.0751 224509.67\n",
- "2020.2795 176848.04 141741.385 211954.70 123157.0422 230539.05\n",
- "2020.2822 180744.22 144223.999 217264.43 124891.3648 236597.07\n",
- "2020.2849 184640.39 146688.129 222592.64 126597.4179 242683.35\n",
- "2020.2877 188536.56 149134.010 227939.10 128275.5623 248797.55\n",
- "2020.2904 192432.73 151561.870 233303.58 129926.1452 254939.31\n",
- "2020.2932 196328.90 153971.927 238685.87 131549.5013 261108.30\n",
- "2020.2959 200225.07 156364.393 244085.75 133145.9531 267304.18\n",
- "2020.2986 204121.24 158739.470 249503.01 134715.8122 273526.67\n",
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- "2022.0904 2752216.86 -70061.692 5574495.42 -1564085.7119 7068519.44\n",
- "2022.0932 2756113.03 -72228.419 5584454.49 -1569461.9431 7081688.01\n",
- "2022.0959 2760009.20 -74399.481 5594417.89 -1574844.8044 7094863.21\n",
- "2022.0986 2763905.37 -76574.876 5604385.62 -1580234.2913 7108045.04\n",
- "2022.1014 2767801.55 -78754.599 5614357.69 -1585630.3989 7121233.49\n",
- "2022.1041 2771697.72 -80938.649 5624334.08 -1591033.1227 7134428.55\n",
- "2022.1068 2775593.89 -83127.022 5634314.79 -1596442.4578 7147630.23\n",
- "2022.1096 2779490.06 -85319.714 5644299.83 -1601858.3996 7160838.51\n",
- "2022.1123 2783386.23 -87516.723 5654289.18 -1607280.9433 7174053.40\n",
- "2022.1151 2787282.40 -89718.046 5664282.84 -1612710.0844 7187274.88\n",
- "2022.1178 2791178.57 -91923.680 5674280.82 -1618145.8182 7200502.96\n",
- "2022.1205 2795074.74 -94133.621 5684283.10 -1623588.1400 7213737.62\n",
- "2022.1233 2798970.91 -96347.867 5694289.69 -1629037.0451 7226978.87\n",
- "2022.1260 2802867.08 -98566.415 5704300.58 -1634492.5289 7240226.69\n",
- "2022.1288 2806763.25 -100789.261 5714315.76 -1639954.5868 7253481.09\n",
- "2022.1315 2810659.42 -103016.402 5724335.25 -1645423.2142 7266742.06\n",
- "2022.1342 2814555.59 -105247.836 5734359.02 -1650898.4065 7280009.59\n",
- "2022.1370 2818451.76 -107483.560 5744387.09 -1656380.1591 7293283.69\n",
- "2022.1397 2822347.93 -109723.571 5754419.44 -1661868.4674 7306564.34\n",
- "2022.1425 2826244.11 -111967.864 5764456.08 -1667363.3268 7319851.54\n",
- "2022.1452 2830140.28 -114216.439 5774496.99 -1672864.7327 7333145.28\n",
- "2022.1479 2834036.45 -116469.291 5784542.18 -1678372.6806 7346445.57\n",
- "2022.1507 2837932.62 -118726.417 5794591.65 -1683887.1660 7359752.40\n",
- "2022.1534 2841828.79 -120987.816 5804645.39 -1689408.1843 7373065.76\n",
- "2022.1562 2845724.96 -123253.482 5814703.40 -1694935.7310 7386385.65\n",
- "2022.1589 2849621.13 -125523.415 5824765.67 -1700469.8015 7399712.06\n",
- "2022.1616 2853517.30 -127797.610 5834832.21 -1706010.3914 7413044.99\n",
- "2022.1644 2857413.47 -130076.066 5844903.01 -1711557.4961 7426384.44\n",
- "2022.1671 2861309.64 -132358.778 5854978.06 -1717111.1112 7439730.39\n",
- "2022.1699 2865205.81 -134645.744 5865057.37 -1722671.2322 7453082.86\n",
- "2022.1726 2869101.98 -136936.961 5875140.93 -1728237.8546 7466441.82\n",
- "2022.1753 2872998.15 -139232.426 5885228.73 -1733810.9739 7479807.28\n",
- "2022.1781 2876894.32 -141532.137 5895320.78 -1739390.5857 7493179.23"
+ " X.ts_country. X.xts.af.cumulative..af.date..\n",
+ "2020-01-22 0 NA\n",
+ "2020-01-23 0 NA\n",
+ "2020-01-24 2 NA\n",
+ "2020-01-25 3 NA\n",
+ "2020-01-26 3 NA\n",
+ "2020-01-27 3 NA\n",
+ "2020-01-28 4 NA\n",
+ "2020-01-29 5 NA\n",
+ "2020-01-30 5 NA\n",
+ "2020-01-31 5 NA\n",
+ "2020-02-01 6 NA\n",
+ "2020-02-02 6 NA\n",
+ "2020-02-03 6 NA\n",
+ "2020-02-04 6 NA\n",
+ "2020-02-05 6 NA\n",
+ "2020-02-06 6 NA\n",
+ "2020-02-07 6 NA\n",
+ "2020-02-08 11 NA\n",
+ "2020-02-09 11 NA\n",
+ "2020-02-10 11 NA\n",
+ "2020-02-11 11 NA\n",
+ "2020-02-12 11 NA\n",
+ "2020-02-13 11 NA\n",
+ "2020-02-14 11 NA\n",
+ "2020-02-15 12 NA\n",
+ "2020-02-16 12 NA\n",
+ "2020-02-17 12 NA\n",
+ "2020-02-18 12 NA\n",
+ "2020-02-19 12 NA\n",
+ "2020-02-20 12 NA\n",
+ "2020-02-21 12 NA\n",
+ "2020-02-22 12 NA\n",
+ "2020-02-23 12 NA\n",
+ "2020-02-24 12 NA\n",
+ "2020-02-25 14 NA\n",
+ "2020-02-26 18 NA\n",
+ "2020-02-27 38 NA\n",
+ "2020-02-28 57 NA\n",
+ "2020-02-29 100 NA\n",
+ "2020-03-01 130 NA\n",
+ "2020-03-02 191 NA\n",
+ "2020-03-03 204 NA\n",
+ "2020-03-04 285 NA\n",
+ "2020-03-05 377 NA\n",
+ "2020-03-06 653 NA\n",
+ "2020-03-07 949 NA\n",
+ "2020-03-08 1126 NA\n",
+ "2020-03-09 1209 NA\n",
+ "2020-03-10 1784 NA\n",
+ "2020-03-11 2281 NA\n",
+ "2020-03-12 2281 NA\n",
+ "2020-03-13 3661 NA\n",
+ "2020-03-14 4469 NA\n",
+ "2020-03-15 4499 NA\n",
+ "2020-03-16 6633 NA\n",
+ "2020-03-17 7652 NA\n",
+ "2020-03-18 9043 NA\n",
+ "2020-03-19 10871 NA\n",
+ "2020-03-20 12612 NA\n",
+ "2020-03-21 14282 NA\n",
+ "2020-03-22 16018 NA\n",
+ "2020-03-23 19856 NA\n",
+ "2020-03-24 22304 NA\n",
+ "2020-03-25 25233 25233.00\n",
+ "2020-03-26 29155 29155.00\n",
+ "2020-03-27 32964 32964.00\n",
+ "2020-03-28 NA 43063.66\n",
+ "2020-03-29 NA NA\n",
+ "2020-03-30 NA 56257.70\n",
+ "2020-03-31 NA NA\n",
+ "2020-04-01 NA 73494.18\n",
+ "2020-04-02 NA NA\n",
+ "2020-04-03 NA 96011.66\n",
+ "2020-04-04 NA NA"
]
},
"metadata": {},
@@ -2307,7 +620,7 @@
}
],
"source": [
- "forecast(country)"
+ "merge(cbind((ts_country), (xts(af$cumulative, af$date))))"
]
}
],