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module3/exo1/influenza-like-illness-analysis.ipynb
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...@@ -9,10 +9,8 @@ ...@@ -9,10 +9,8 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 1,
"metadata": { "metadata": {},
"collapsed": true
},
"outputs": [], "outputs": [],
"source": [ "source": [
"%matplotlib inline\n", "%matplotlib inline\n",
...@@ -30,10 +28,8 @@ ...@@ -30,10 +28,8 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 2,
"metadata": { "metadata": {},
"collapsed": true
},
"outputs": [], "outputs": [],
"source": [ "source": [
"data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\"" "data_url = \"http://www.sentiweb.fr/datasets/incidence-PAY-3.csv\""
...@@ -63,9 +59,976 @@ ...@@ -63,9 +59,976 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 3,
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [
{
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" <td>27042</td>\n",
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" <td>33.0</td>\n",
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" <th>18</th>\n",
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" <td>40.0</td>\n",
" <td>56.0</td>\n",
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" <th>21</th>\n",
" <td>202413</td>\n",
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" <td>35090</td>\n",
" <td>29607.0</td>\n",
" <td>40573.0</td>\n",
" <td>53</td>\n",
" <td>45.0</td>\n",
" <td>61.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <th>22</th>\n",
" <td>202412</td>\n",
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" <td>46696.0</td>\n",
" <td>61</td>\n",
" <td>52.0</td>\n",
" <td>70.0</td>\n",
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" <td>France</td>\n",
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" <tr>\n",
" <th>23</th>\n",
" <td>202411</td>\n",
" <td>3</td>\n",
" <td>50268</td>\n",
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" <td>57205.0</td>\n",
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" <td>65.0</td>\n",
" <td>85.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>24</th>\n",
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" <td>3</td>\n",
" <td>60107</td>\n",
" <td>52623.0</td>\n",
" <td>67591.0</td>\n",
" <td>90</td>\n",
" <td>79.0</td>\n",
" <td>101.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>25</th>\n",
" <td>202409</td>\n",
" <td>3</td>\n",
" <td>71121</td>\n",
" <td>62920.0</td>\n",
" <td>79322.0</td>\n",
" <td>107</td>\n",
" <td>95.0</td>\n",
" <td>119.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>26</th>\n",
" <td>202408</td>\n",
" <td>3</td>\n",
" <td>104566</td>\n",
" <td>94520.0</td>\n",
" <td>114612.0</td>\n",
" <td>157</td>\n",
" <td>142.0</td>\n",
" <td>172.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>202407</td>\n",
" <td>3</td>\n",
" <td>138078</td>\n",
" <td>127050.0</td>\n",
" <td>149106.0</td>\n",
" <td>207</td>\n",
" <td>190.0</td>\n",
" <td>224.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>28</th>\n",
" <td>202406</td>\n",
" <td>3</td>\n",
" <td>190062</td>\n",
" <td>177955.0</td>\n",
" <td>202169.0</td>\n",
" <td>285</td>\n",
" <td>267.0</td>\n",
" <td>303.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>202405</td>\n",
" <td>3</td>\n",
" <td>216237</td>\n",
" <td>203595.0</td>\n",
" <td>228879.0</td>\n",
" <td>324</td>\n",
" <td>305.0</td>\n",
" <td>343.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
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" <tr>\n",
" <th>2048</th>\n",
" <td>198521</td>\n",
" <td>3</td>\n",
" <td>26096</td>\n",
" <td>19621.0</td>\n",
" <td>32571.0</td>\n",
" <td>47</td>\n",
" <td>35.0</td>\n",
" <td>59.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2049</th>\n",
" <td>198520</td>\n",
" <td>3</td>\n",
" <td>27896</td>\n",
" <td>20885.0</td>\n",
" <td>34907.0</td>\n",
" <td>51</td>\n",
" <td>38.0</td>\n",
" <td>64.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2050</th>\n",
" <td>198519</td>\n",
" <td>3</td>\n",
" <td>43154</td>\n",
" <td>32821.0</td>\n",
" <td>53487.0</td>\n",
" <td>78</td>\n",
" <td>59.0</td>\n",
" <td>97.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2051</th>\n",
" <td>198518</td>\n",
" <td>3</td>\n",
" <td>40555</td>\n",
" <td>29935.0</td>\n",
" <td>51175.0</td>\n",
" <td>74</td>\n",
" <td>55.0</td>\n",
" <td>93.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2052</th>\n",
" <td>198517</td>\n",
" <td>3</td>\n",
" <td>34053</td>\n",
" <td>24366.0</td>\n",
" <td>43740.0</td>\n",
" <td>62</td>\n",
" <td>44.0</td>\n",
" <td>80.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
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" <tr>\n",
" <th>2053</th>\n",
" <td>198516</td>\n",
" <td>3</td>\n",
" <td>50362</td>\n",
" <td>36451.0</td>\n",
" <td>64273.0</td>\n",
" <td>91</td>\n",
" <td>66.0</td>\n",
" <td>116.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2054</th>\n",
" <td>198515</td>\n",
" <td>3</td>\n",
" <td>63881</td>\n",
" <td>45538.0</td>\n",
" <td>82224.0</td>\n",
" <td>116</td>\n",
" <td>83.0</td>\n",
" <td>149.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2055</th>\n",
" <td>198514</td>\n",
" <td>3</td>\n",
" <td>134545</td>\n",
" <td>114400.0</td>\n",
" <td>154690.0</td>\n",
" <td>244</td>\n",
" <td>207.0</td>\n",
" <td>281.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2056</th>\n",
" <td>198513</td>\n",
" <td>3</td>\n",
" <td>197206</td>\n",
" <td>176080.0</td>\n",
" <td>218332.0</td>\n",
" <td>357</td>\n",
" <td>319.0</td>\n",
" <td>395.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2057</th>\n",
" <td>198512</td>\n",
" <td>3</td>\n",
" <td>245240</td>\n",
" <td>223304.0</td>\n",
" <td>267176.0</td>\n",
" <td>445</td>\n",
" <td>405.0</td>\n",
" <td>485.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2058</th>\n",
" <td>198511</td>\n",
" <td>3</td>\n",
" <td>276205</td>\n",
" <td>252399.0</td>\n",
" <td>300011.0</td>\n",
" <td>501</td>\n",
" <td>458.0</td>\n",
" <td>544.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2059</th>\n",
" <td>198510</td>\n",
" <td>3</td>\n",
" <td>353231</td>\n",
" <td>326279.0</td>\n",
" <td>380183.0</td>\n",
" <td>640</td>\n",
" <td>591.0</td>\n",
" <td>689.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2060</th>\n",
" <td>198509</td>\n",
" <td>3</td>\n",
" <td>369895</td>\n",
" <td>341109.0</td>\n",
" <td>398681.0</td>\n",
" <td>670</td>\n",
" <td>618.0</td>\n",
" <td>722.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2061</th>\n",
" <td>198508</td>\n",
" <td>3</td>\n",
" <td>389886</td>\n",
" <td>359529.0</td>\n",
" <td>420243.0</td>\n",
" <td>707</td>\n",
" <td>652.0</td>\n",
" <td>762.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2062</th>\n",
" <td>198507</td>\n",
" <td>3</td>\n",
" <td>471852</td>\n",
" <td>432599.0</td>\n",
" <td>511105.0</td>\n",
" <td>855</td>\n",
" <td>784.0</td>\n",
" <td>926.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2063</th>\n",
" <td>198506</td>\n",
" <td>3</td>\n",
" <td>565825</td>\n",
" <td>518011.0</td>\n",
" <td>613639.0</td>\n",
" <td>1026</td>\n",
" <td>939.0</td>\n",
" <td>1113.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2064</th>\n",
" <td>198505</td>\n",
" <td>3</td>\n",
" <td>637302</td>\n",
" <td>592795.0</td>\n",
" <td>681809.0</td>\n",
" <td>1155</td>\n",
" <td>1074.0</td>\n",
" <td>1236.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2065</th>\n",
" <td>198504</td>\n",
" <td>3</td>\n",
" <td>424937</td>\n",
" <td>390794.0</td>\n",
" <td>459080.0</td>\n",
" <td>770</td>\n",
" <td>708.0</td>\n",
" <td>832.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2066</th>\n",
" <td>198503</td>\n",
" <td>3</td>\n",
" <td>213901</td>\n",
" <td>174689.0</td>\n",
" <td>253113.0</td>\n",
" <td>388</td>\n",
" <td>317.0</td>\n",
" <td>459.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2067</th>\n",
" <td>198502</td>\n",
" <td>3</td>\n",
" <td>97586</td>\n",
" <td>80949.0</td>\n",
" <td>114223.0</td>\n",
" <td>177</td>\n",
" <td>147.0</td>\n",
" <td>207.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2068</th>\n",
" <td>198501</td>\n",
" <td>3</td>\n",
" <td>85489</td>\n",
" <td>65918.0</td>\n",
" <td>105060.0</td>\n",
" <td>155</td>\n",
" <td>120.0</td>\n",
" <td>190.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2069</th>\n",
" <td>198452</td>\n",
" <td>3</td>\n",
" <td>84830</td>\n",
" <td>60602.0</td>\n",
" <td>109058.0</td>\n",
" <td>154</td>\n",
" <td>110.0</td>\n",
" <td>198.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2070</th>\n",
" <td>198451</td>\n",
" <td>3</td>\n",
" <td>101726</td>\n",
" <td>80242.0</td>\n",
" <td>123210.0</td>\n",
" <td>185</td>\n",
" <td>146.0</td>\n",
" <td>224.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2071</th>\n",
" <td>198450</td>\n",
" <td>3</td>\n",
" <td>123680</td>\n",
" <td>101401.0</td>\n",
" <td>145959.0</td>\n",
" <td>225</td>\n",
" <td>184.0</td>\n",
" <td>266.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2072</th>\n",
" <td>198449</td>\n",
" <td>3</td>\n",
" <td>101073</td>\n",
" <td>81684.0</td>\n",
" <td>120462.0</td>\n",
" <td>184</td>\n",
" <td>149.0</td>\n",
" <td>219.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2073</th>\n",
" <td>198448</td>\n",
" <td>3</td>\n",
" <td>78620</td>\n",
" <td>60634.0</td>\n",
" <td>96606.0</td>\n",
" <td>143</td>\n",
" <td>110.0</td>\n",
" <td>176.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2074</th>\n",
" <td>198447</td>\n",
" <td>3</td>\n",
" <td>72029</td>\n",
" <td>54274.0</td>\n",
" <td>89784.0</td>\n",
" <td>131</td>\n",
" <td>99.0</td>\n",
" <td>163.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2075</th>\n",
" <td>198446</td>\n",
" <td>3</td>\n",
" <td>87330</td>\n",
" <td>67686.0</td>\n",
" <td>106974.0</td>\n",
" <td>159</td>\n",
" <td>123.0</td>\n",
" <td>195.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2076</th>\n",
" <td>198445</td>\n",
" <td>3</td>\n",
" <td>135223</td>\n",
" <td>101414.0</td>\n",
" <td>169032.0</td>\n",
" <td>246</td>\n",
" <td>184.0</td>\n",
" <td>308.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2077</th>\n",
" <td>198444</td>\n",
" <td>3</td>\n",
" <td>68422</td>\n",
" <td>20056.0</td>\n",
" <td>116788.0</td>\n",
" <td>125</td>\n",
" <td>37.0</td>\n",
" <td>213.0</td>\n",
" <td>FR</td>\n",
" <td>France</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>2078 rows × 10 columns</p>\n",
"</div>"
],
"text/plain": [
" week indicator inc inc_low inc_up inc100 inc100_low \\\n",
"0 202434 3 28229 21391.0 35067.0 42 32.0 \n",
"1 202433 3 20795 15392.0 26198.0 31 23.0 \n",
"2 202432 3 23187 17532.0 28842.0 35 27.0 \n",
"3 202431 3 26035 20267.0 31803.0 39 30.0 \n",
"4 202430 3 36393 28593.0 44193.0 55 43.0 \n",
"5 202429 3 39560 32592.0 46528.0 59 49.0 \n",
"6 202428 3 54342 45781.0 62903.0 81 68.0 \n",
"7 202427 3 47364 40234.0 54494.0 71 60.0 \n",
"8 202426 3 44219 36956.0 51482.0 66 55.0 \n",
"9 202425 3 47204 40300.0 54108.0 71 61.0 \n",
"10 202424 3 41110 34671.0 47549.0 62 52.0 \n",
"11 202423 3 35875 30610.0 41140.0 54 46.0 \n",
"12 202422 3 33772 28274.0 39270.0 51 43.0 \n",
"13 202421 3 21963 17556.0 26370.0 33 26.0 \n",
"14 202420 3 20057 15780.0 24334.0 30 24.0 \n",
"15 202419 3 15375 11274.0 19476.0 23 17.0 \n",
"16 202418 3 22409 17653.0 27165.0 34 27.0 \n",
"17 202417 3 27042 21410.0 32674.0 41 33.0 \n",
"18 202416 3 28882 23305.0 34459.0 43 35.0 \n",
"19 202415 3 30229 24648.0 35810.0 45 37.0 \n",
"20 202414 3 31813 26529.0 37097.0 48 40.0 \n",
"21 202413 3 35090 29607.0 40573.0 53 45.0 \n",
"22 202412 3 40639 34582.0 46696.0 61 52.0 \n",
"23 202411 3 50268 43331.0 57205.0 75 65.0 \n",
"24 202410 3 60107 52623.0 67591.0 90 79.0 \n",
"25 202409 3 71121 62920.0 79322.0 107 95.0 \n",
"26 202408 3 104566 94520.0 114612.0 157 142.0 \n",
"27 202407 3 138078 127050.0 149106.0 207 190.0 \n",
"28 202406 3 190062 177955.0 202169.0 285 267.0 \n",
"29 202405 3 216237 203595.0 228879.0 324 305.0 \n",
"... ... ... ... ... ... ... ... \n",
"2048 198521 3 26096 19621.0 32571.0 47 35.0 \n",
"2049 198520 3 27896 20885.0 34907.0 51 38.0 \n",
"2050 198519 3 43154 32821.0 53487.0 78 59.0 \n",
"2051 198518 3 40555 29935.0 51175.0 74 55.0 \n",
"2052 198517 3 34053 24366.0 43740.0 62 44.0 \n",
"2053 198516 3 50362 36451.0 64273.0 91 66.0 \n",
"2054 198515 3 63881 45538.0 82224.0 116 83.0 \n",
"2055 198514 3 134545 114400.0 154690.0 244 207.0 \n",
"2056 198513 3 197206 176080.0 218332.0 357 319.0 \n",
"2057 198512 3 245240 223304.0 267176.0 445 405.0 \n",
"2058 198511 3 276205 252399.0 300011.0 501 458.0 \n",
"2059 198510 3 353231 326279.0 380183.0 640 591.0 \n",
"2060 198509 3 369895 341109.0 398681.0 670 618.0 \n",
"2061 198508 3 389886 359529.0 420243.0 707 652.0 \n",
"2062 198507 3 471852 432599.0 511105.0 855 784.0 \n",
"2063 198506 3 565825 518011.0 613639.0 1026 939.0 \n",
"2064 198505 3 637302 592795.0 681809.0 1155 1074.0 \n",
"2065 198504 3 424937 390794.0 459080.0 770 708.0 \n",
"2066 198503 3 213901 174689.0 253113.0 388 317.0 \n",
"2067 198502 3 97586 80949.0 114223.0 177 147.0 \n",
"2068 198501 3 85489 65918.0 105060.0 155 120.0 \n",
"2069 198452 3 84830 60602.0 109058.0 154 110.0 \n",
"2070 198451 3 101726 80242.0 123210.0 185 146.0 \n",
"2071 198450 3 123680 101401.0 145959.0 225 184.0 \n",
"2072 198449 3 101073 81684.0 120462.0 184 149.0 \n",
"2073 198448 3 78620 60634.0 96606.0 143 110.0 \n",
"2074 198447 3 72029 54274.0 89784.0 131 99.0 \n",
"2075 198446 3 87330 67686.0 106974.0 159 123.0 \n",
"2076 198445 3 135223 101414.0 169032.0 246 184.0 \n",
"2077 198444 3 68422 20056.0 116788.0 125 37.0 \n",
"\n",
" inc100_up geo_insee geo_name \n",
"0 52.0 FR France \n",
"1 39.0 FR France \n",
"2 43.0 FR France \n",
"3 48.0 FR France \n",
"4 67.0 FR France \n",
"5 69.0 FR France \n",
"6 94.0 FR France \n",
"7 82.0 FR France \n",
"8 77.0 FR France \n",
"9 81.0 FR France \n",
"10 72.0 FR France \n",
"11 62.0 FR France \n",
"12 59.0 FR France \n",
"13 40.0 FR France \n",
"14 36.0 FR France \n",
"15 29.0 FR France \n",
"16 41.0 FR France \n",
"17 49.0 FR France \n",
"18 51.0 FR France \n",
"19 53.0 FR France \n",
"20 56.0 FR France \n",
"21 61.0 FR France \n",
"22 70.0 FR France \n",
"23 85.0 FR France \n",
"24 101.0 FR France \n",
"25 119.0 FR France \n",
"26 172.0 FR France \n",
"27 224.0 FR France \n",
"28 303.0 FR France \n",
"29 343.0 FR France \n",
"... ... ... ... \n",
"2048 59.0 FR France \n",
"2049 64.0 FR France \n",
"2050 97.0 FR France \n",
"2051 93.0 FR France \n",
"2052 80.0 FR France \n",
"2053 116.0 FR France \n",
"2054 149.0 FR France \n",
"2055 281.0 FR France \n",
"2056 395.0 FR France \n",
"2057 485.0 FR France \n",
"2058 544.0 FR France \n",
"2059 689.0 FR France \n",
"2060 722.0 FR France \n",
"2061 762.0 FR France \n",
"2062 926.0 FR France \n",
"2063 1113.0 FR France \n",
"2064 1236.0 FR France \n",
"2065 832.0 FR France \n",
"2066 459.0 FR France \n",
"2067 207.0 FR France \n",
"2068 190.0 FR France \n",
"2069 198.0 FR France \n",
"2070 224.0 FR France \n",
"2071 266.0 FR France \n",
"2072 219.0 FR France \n",
"2073 176.0 FR France \n",
"2074 163.0 FR France \n",
"2075 195.0 FR France \n",
"2076 308.0 FR France \n",
"2077 213.0 FR France \n",
"\n",
"[2078 rows x 10 columns]"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [ "source": [
"raw_data = pd.read_csv(data_url, skiprows=1)\n", "raw_data = pd.read_csv(data_url, skiprows=1)\n",
"raw_data" "raw_data"
...@@ -365,7 +1328,7 @@ ...@@ -365,7 +1328,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.6.1" "version": "3.6.4"
} }
}, },
"nbformat": 4, "nbformat": 4,
......
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