Skip to content

Instantly share code, notes, and snippets.

@blu3r4y

blu3r4y/leitspital-liezen.ipynb

Last active January 5, 2021 17:28
Show Gist options
  • Save blu3r4y/f47fbad0deda5a9f0eb13aaec8dd42a5 to your computer and use it in GitHub Desktop.
Save blu3r4y/f47fbad0deda5a9f0eb13aaec8dd42a5 to your computer and use it in GitHub Desktop.
Download ZIP
Wahlverhalten der Gemeinden in Relation zur Fahrzeitänderung zum neu geplanten Leitspital Stainach-Pürgg
Display the source blob
Display the rendered blob
Raw
leitspital-liezen.ipynb
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import requests\n",
"\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"\n",
"import matplotlib\n",
"import matplotlib.pyplot as plt\n",
"\n",
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"# https://developers.google.com/maps/documentation/distance-matrix/get-api-key\n",
"GOOGLE_MAPS_API_KEY = \"YOUR_GOOGLE_MAPS_API_KEY_HERE\""
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"def drive_duration(origin, destination):\n",
" if origin == destination:\n",
" return 0\n",
" \n",
" # ask google maps about the driving duration\n",
" # https://developers.google.com/maps/documentation/distance-matrix/intro\n",
" \n",
" endpoint = \"https://maps.googleapis.com/maps/api/distancematrix/json\"\n",
" params = {\n",
" \"origins\": origin + \", Styria, Austria\",\n",
" \"destinations\": destination + \", Styria, Austria\",\n",
" \"language\": \"en\",\n",
" \"units\": \"metric\",\n",
" \"key\": GOOGLE_MAPS_API_KEY\n",
" }\n",
" \n",
" response = requests.get(endpoint, params=params).json()\n",
" \n",
" if response[\"status\"] == \"OK\":\n",
" duration = response[\"rows\"][0][\"elements\"][0][\"duration\"][\"value\"] / 60\n",
" return duration\n",
" \n",
" raise RuntimeError(\"GoogleMaps API ERROR: {}\".format(response[\"error_message\"]))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>municipality</th>\n",
" <th>population</th>\n",
" <th>latitude</th>\n",
" <th>longitude</th>\n",
" <th>eligible</th>\n",
" <th>votes</th>\n",
" <th>valid</th>\n",
" <th>yes</th>\n",
" <th>no</th>\n",
" <th>num_hospitals</th>\n",
" <th>num_hospitals_new</th>\n",
" <th>yes_percentage</th>\n",
" <th>drive_duration_old</th>\n",
" <th>drive_duration_new</th>\n",
" <th>drive_duration_diff</th>\n",
" </tr>\n",
" <tr>\n",
" <th>ags</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>61253</th>\n",
" <td>Admont</td>\n",
" <td>5017</td>\n",
" <td>47.5667</td>\n",
" <td>14.4667</td>\n",
" <td>4017</td>\n",
" <td>1560</td>\n",
" <td>1554</td>\n",
" <td>331</td>\n",
" <td>1223</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>21.299871</td>\n",
" <td>22.016667</td>\n",
" <td>36.833333</td>\n",
" <td>14.816667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61254</th>\n",
" <td>Aich</td>\n",
" <td>1283</td>\n",
" <td>47.4167</td>\n",
" <td>13.8167</td>\n",
" <td>993</td>\n",
" <td>366</td>\n",
" <td>366</td>\n",
" <td>123</td>\n",
" <td>243</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>33.606557</td>\n",
" <td>11.950000</td>\n",
" <td>24.883333</td>\n",
" <td>12.933333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61203</th>\n",
" <td>Aigen im Ennstal</td>\n",
" <td>2706</td>\n",
" <td>47.5167</td>\n",
" <td>14.1500</td>\n",
" <td>2157</td>\n",
" <td>938</td>\n",
" <td>933</td>\n",
" <td>736</td>\n",
" <td>197</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>78.885316</td>\n",
" <td>20.916667</td>\n",
" <td>13.483333</td>\n",
" <td>-7.433333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61204</th>\n",
" <td>Altaussee</td>\n",
" <td>1879</td>\n",
" <td>47.6333</td>\n",
" <td>13.7667</td>\n",
" <td>1525</td>\n",
" <td>822</td>\n",
" <td>821</td>\n",
" <td>90</td>\n",
" <td>731</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>10.962241</td>\n",
" <td>7.333333</td>\n",
" <td>27.666667</td>\n",
" <td>20.333333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61205</th>\n",
" <td>Altenmarkt bei Sankt Gallen</td>\n",
" <td>821</td>\n",
" <td>47.7167</td>\n",
" <td>14.6333</td>\n",
" <td>651</td>\n",
" <td>237</td>\n",
" <td>237</td>\n",
" <td>47</td>\n",
" <td>190</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>19.831224</td>\n",
" <td>44.850000</td>\n",
" <td>59.666667</td>\n",
" <td>14.816667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61206</th>\n",
" <td>Ardning</td>\n",
" <td>1228</td>\n",
" <td>47.5833</td>\n",
" <td>14.3667</td>\n",
" <td>1023</td>\n",
" <td>433</td>\n",
" <td>432</td>\n",
" <td>131</td>\n",
" <td>301</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>30.324074</td>\n",
" <td>13.533333</td>\n",
" <td>28.350000</td>\n",
" <td>14.816667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61207</th>\n",
" <td>Bad Aussee</td>\n",
" <td>4830</td>\n",
" <td>47.6167</td>\n",
" <td>13.7833</td>\n",
" <td>3604</td>\n",
" <td>1867</td>\n",
" <td>1861</td>\n",
" <td>193</td>\n",
" <td>1668</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>10.370768</td>\n",
" <td>0.000000</td>\n",
" <td>21.783333</td>\n",
" <td>21.783333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61255</th>\n",
" <td>Bad Mitterndorf</td>\n",
" <td>4966</td>\n",
" <td>47.5500</td>\n",
" <td>13.9333</td>\n",
" <td>3801</td>\n",
" <td>1230</td>\n",
" <td>1228</td>\n",
" <td>715</td>\n",
" <td>513</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>58.224756</td>\n",
" <td>13.800000</td>\n",
" <td>10.266667</td>\n",
" <td>-3.533333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61256</th>\n",
" <td>Gaishorn am See</td>\n",
" <td>1334</td>\n",
" <td>47.4833</td>\n",
" <td>14.5500</td>\n",
" <td>1081</td>\n",
" <td>611</td>\n",
" <td>609</td>\n",
" <td>56</td>\n",
" <td>553</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>9.195402</td>\n",
" <td>18.250000</td>\n",
" <td>40.100000</td>\n",
" <td>21.850000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61213</th>\n",
" <td>Gröbming</td>\n",
" <td>3011</td>\n",
" <td>47.4500</td>\n",
" <td>13.9000</td>\n",
" <td>2226</td>\n",
" <td>642</td>\n",
" <td>640</td>\n",
" <td>317</td>\n",
" <td>323</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>49.531250</td>\n",
" <td>16.666667</td>\n",
" <td>19.516667</td>\n",
" <td>2.850000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61215</th>\n",
" <td>Grundlsee</td>\n",
" <td>1201</td>\n",
" <td>47.6333</td>\n",
" <td>13.8333</td>\n",
" <td>1009</td>\n",
" <td>487</td>\n",
" <td>484</td>\n",
" <td>55</td>\n",
" <td>429</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>11.363636</td>\n",
" <td>7.483333</td>\n",
" <td>24.683333</td>\n",
" <td>17.200000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61217</th>\n",
" <td>Haus</td>\n",
" <td>2428</td>\n",
" <td>47.4000</td>\n",
" <td>13.7667</td>\n",
" <td>1886</td>\n",
" <td>679</td>\n",
" <td>676</td>\n",
" <td>155</td>\n",
" <td>521</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>22.928994</td>\n",
" <td>7.533333</td>\n",
" <td>27.800000</td>\n",
" <td>20.266667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61257</th>\n",
" <td>Irdning-Donnersbachtal</td>\n",
" <td>4125</td>\n",
" <td>47.5000</td>\n",
" <td>14.1000</td>\n",
" <td>3340</td>\n",
" <td>1510</td>\n",
" <td>1500</td>\n",
" <td>1333</td>\n",
" <td>167</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>88.866667</td>\n",
" <td>25.433333</td>\n",
" <td>8.016667</td>\n",
" <td>-17.416667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61258</th>\n",
" <td>Landl</td>\n",
" <td>2719</td>\n",
" <td>47.6500</td>\n",
" <td>14.7333</td>\n",
" <td>2328</td>\n",
" <td>883</td>\n",
" <td>874</td>\n",
" <td>158</td>\n",
" <td>716</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>18.077803</td>\n",
" <td>50.950000</td>\n",
" <td>65.750000</td>\n",
" <td>14.800000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61222</th>\n",
" <td>Lassing</td>\n",
" <td>1723</td>\n",
" <td>47.5333</td>\n",
" <td>14.2667</td>\n",
" <td>1453</td>\n",
" <td>582</td>\n",
" <td>579</td>\n",
" <td>198</td>\n",
" <td>381</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>34.196891</td>\n",
" <td>11.216667</td>\n",
" <td>22.383333</td>\n",
" <td>11.166667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61259</th>\n",
" <td>Liezen</td>\n",
" <td>8211</td>\n",
" <td>47.5667</td>\n",
" <td>14.2333</td>\n",
" <td>5869</td>\n",
" <td>1838</td>\n",
" <td>1834</td>\n",
" <td>825</td>\n",
" <td>1009</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>44.983642</td>\n",
" <td>12.483333</td>\n",
" <td>18.733333</td>\n",
" <td>6.250000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61260</th>\n",
" <td>Michaelerberg-Pruggern</td>\n",
" <td>1178</td>\n",
" <td>47.4167</td>\n",
" <td>13.8833</td>\n",
" <td>874</td>\n",
" <td>306</td>\n",
" <td>305</td>\n",
" <td>152</td>\n",
" <td>153</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>49.836066</td>\n",
" <td>19.500000</td>\n",
" <td>24.083333</td>\n",
" <td>4.583333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61261</th>\n",
" <td>Mitterberg-Sankt Martin</td>\n",
" <td>1936</td>\n",
" <td>47.4833</td>\n",
" <td>13.9833</td>\n",
" <td>1535</td>\n",
" <td>541</td>\n",
" <td>537</td>\n",
" <td>381</td>\n",
" <td>156</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>70.949721</td>\n",
" <td>22.733333</td>\n",
" <td>18.266667</td>\n",
" <td>-4.466667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61262</th>\n",
" <td>Öblarn</td>\n",
" <td>2029</td>\n",
" <td>47.4500</td>\n",
" <td>14.0000</td>\n",
" <td>1529</td>\n",
" <td>532</td>\n",
" <td>531</td>\n",
" <td>371</td>\n",
" <td>160</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>69.868173</td>\n",
" <td>25.483333</td>\n",
" <td>16.566667</td>\n",
" <td>-8.916667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61236</th>\n",
" <td>Ramsau am Dachstein</td>\n",
" <td>2804</td>\n",
" <td>47.4167</td>\n",
" <td>13.6500</td>\n",
" <td>2114</td>\n",
" <td>857</td>\n",
" <td>855</td>\n",
" <td>70</td>\n",
" <td>785</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>8.187135</td>\n",
" <td>11.850000</td>\n",
" <td>41.866667</td>\n",
" <td>30.016667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61263</th>\n",
" <td>Rottenmann</td>\n",
" <td>5236</td>\n",
" <td>47.5333</td>\n",
" <td>14.3500</td>\n",
" <td>3982</td>\n",
" <td>2629</td>\n",
" <td>2623</td>\n",
" <td>106</td>\n",
" <td>2517</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>4.041174</td>\n",
" <td>0.000000</td>\n",
" <td>28.166667</td>\n",
" <td>28.166667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61264</th>\n",
" <td>Sankt Gallen</td>\n",
" <td>1832</td>\n",
" <td>47.6833</td>\n",
" <td>14.6167</td>\n",
" <td>1423</td>\n",
" <td>515</td>\n",
" <td>507</td>\n",
" <td>98</td>\n",
" <td>409</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>19.329389</td>\n",
" <td>39.066667</td>\n",
" <td>53.866667</td>\n",
" <td>14.800000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61265</th>\n",
" <td>Schladming</td>\n",
" <td>6661</td>\n",
" <td>47.4000</td>\n",
" <td>13.6833</td>\n",
" <td>4987</td>\n",
" <td>2079</td>\n",
" <td>2075</td>\n",
" <td>180</td>\n",
" <td>1895</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>8.674699</td>\n",
" <td>0.000000</td>\n",
" <td>34.166667</td>\n",
" <td>34.166667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61243</th>\n",
" <td>Selzthal</td>\n",
" <td>1593</td>\n",
" <td>47.5500</td>\n",
" <td>14.3167</td>\n",
" <td>1235</td>\n",
" <td>597</td>\n",
" <td>596</td>\n",
" <td>70</td>\n",
" <td>526</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>11.744966</td>\n",
" <td>8.616667</td>\n",
" <td>25.266667</td>\n",
" <td>16.650000</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61266</th>\n",
" <td>Sölk</td>\n",
" <td>1493</td>\n",
" <td>47.4000</td>\n",
" <td>13.9667</td>\n",
" <td>1251</td>\n",
" <td>342</td>\n",
" <td>341</td>\n",
" <td>205</td>\n",
" <td>136</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>60.117302</td>\n",
" <td>27.516667</td>\n",
" <td>25.550000</td>\n",
" <td>-1.966667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61267</th>\n",
" <td>Stainach-Pürgg</td>\n",
" <td>2861</td>\n",
" <td>47.5333</td>\n",
" <td>14.1000</td>\n",
" <td>2141</td>\n",
" <td>1081</td>\n",
" <td>1079</td>\n",
" <td>970</td>\n",
" <td>109</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>89.898054</td>\n",
" <td>21.516667</td>\n",
" <td>0.000000</td>\n",
" <td>-21.516667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61247</th>\n",
" <td>Trieben</td>\n",
" <td>3393</td>\n",
" <td>47.4833</td>\n",
" <td>14.4833</td>\n",
" <td>2608</td>\n",
" <td>1378</td>\n",
" <td>1372</td>\n",
" <td>94</td>\n",
" <td>1278</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>6.851312</td>\n",
" <td>11.516667</td>\n",
" <td>33.350000</td>\n",
" <td>21.833333</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61251</th>\n",
" <td>Wildalpen</td>\n",
" <td>466</td>\n",
" <td>47.6500</td>\n",
" <td>14.9833</td>\n",
" <td>407</td>\n",
" <td>182</td>\n",
" <td>181</td>\n",
" <td>17</td>\n",
" <td>164</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>9.392265</td>\n",
" <td>72.883333</td>\n",
" <td>87.700000</td>\n",
" <td>14.816667</td>\n",
" </tr>\n",
" <tr>\n",
" <th>61252</th>\n",
" <td>Wörschach</td>\n",
" <td>1128</td>\n",
" <td>47.5500</td>\n",
" <td>14.1500</td>\n",
" <td>904</td>\n",
" <td>405</td>\n",
" <td>402</td>\n",
" <td>343</td>\n",
" <td>59</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>85.323383</td>\n",
" <td>18.833333</td>\n",
" <td>9.566667</td>\n",
" <td>-9.266667</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" municipality population latitude longitude eligible \\\n",
"ags \n",
"61253 Admont 5017 47.5667 14.4667 4017 \n",
"61254 Aich 1283 47.4167 13.8167 993 \n",
"61203 Aigen im Ennstal 2706 47.5167 14.1500 2157 \n",
"61204 Altaussee 1879 47.6333 13.7667 1525 \n",
"61205 Altenmarkt bei Sankt Gallen 821 47.7167 14.6333 651 \n",
"61206 Ardning 1228 47.5833 14.3667 1023 \n",
"61207 Bad Aussee 4830 47.6167 13.7833 3604 \n",
"61255 Bad Mitterndorf 4966 47.5500 13.9333 3801 \n",
"61256 Gaishorn am See 1334 47.4833 14.5500 1081 \n",
"61213 Gröbming 3011 47.4500 13.9000 2226 \n",
"61215 Grundlsee 1201 47.6333 13.8333 1009 \n",
"61217 Haus 2428 47.4000 13.7667 1886 \n",
"61257 Irdning-Donnersbachtal 4125 47.5000 14.1000 3340 \n",
"61258 Landl 2719 47.6500 14.7333 2328 \n",
"61222 Lassing 1723 47.5333 14.2667 1453 \n",
"61259 Liezen 8211 47.5667 14.2333 5869 \n",
"61260 Michaelerberg-Pruggern 1178 47.4167 13.8833 874 \n",
"61261 Mitterberg-Sankt Martin 1936 47.4833 13.9833 1535 \n",
"61262 Öblarn 2029 47.4500 14.0000 1529 \n",
"61236 Ramsau am Dachstein 2804 47.4167 13.6500 2114 \n",
"61263 Rottenmann 5236 47.5333 14.3500 3982 \n",
"61264 Sankt Gallen 1832 47.6833 14.6167 1423 \n",
"61265 Schladming 6661 47.4000 13.6833 4987 \n",
"61243 Selzthal 1593 47.5500 14.3167 1235 \n",
"61266 Sölk 1493 47.4000 13.9667 1251 \n",
"61267 Stainach-Pürgg 2861 47.5333 14.1000 2141 \n",
"61247 Trieben 3393 47.4833 14.4833 2608 \n",
"61251 Wildalpen 466 47.6500 14.9833 407 \n",
"61252 Wörschach 1128 47.5500 14.1500 904 \n",
"\n",
" votes valid yes no num_hospitals num_hospitals_new \\\n",
"ags \n",
"61253 1560 1554 331 1223 0 0 \n",
"61254 366 366 123 243 0 0 \n",
"61203 938 933 736 197 0 0 \n",
"61204 822 821 90 731 0 0 \n",
"61205 237 237 47 190 0 0 \n",
"61206 433 432 131 301 0 0 \n",
"61207 1867 1861 193 1668 1 0 \n",
"61255 1230 1228 715 513 0 0 \n",
"61256 611 609 56 553 0 0 \n",
"61213 642 640 317 323 0 0 \n",
"61215 487 484 55 429 0 0 \n",
"61217 679 676 155 521 0 0 \n",
"61257 1510 1500 1333 167 0 0 \n",
"61258 883 874 158 716 0 0 \n",
"61222 582 579 198 381 0 0 \n",
"61259 1838 1834 825 1009 0 0 \n",
"61260 306 305 152 153 0 0 \n",
"61261 541 537 381 156 0 0 \n",
"61262 532 531 371 160 0 0 \n",
"61236 857 855 70 785 0 0 \n",
"61263 2629 2623 106 2517 1 0 \n",
"61264 515 507 98 409 0 0 \n",
"61265 2079 2075 180 1895 1 0 \n",
"61243 597 596 70 526 0 0 \n",
"61266 342 341 205 136 0 0 \n",
"61267 1081 1079 970 109 0 1 \n",
"61247 1378 1372 94 1278 0 0 \n",
"61251 182 181 17 164 0 0 \n",
"61252 405 402 343 59 0 0 \n",
"\n",
" yes_percentage drive_duration_old drive_duration_new \\\n",
"ags \n",
"61253 21.299871 22.016667 36.833333 \n",
"61254 33.606557 11.950000 24.883333 \n",
"61203 78.885316 20.916667 13.483333 \n",
"61204 10.962241 7.333333 27.666667 \n",
"61205 19.831224 44.850000 59.666667 \n",
"61206 30.324074 13.533333 28.350000 \n",
"61207 10.370768 0.000000 21.783333 \n",
"61255 58.224756 13.800000 10.266667 \n",
"61256 9.195402 18.250000 40.100000 \n",
"61213 49.531250 16.666667 19.516667 \n",
"61215 11.363636 7.483333 24.683333 \n",
"61217 22.928994 7.533333 27.800000 \n",
"61257 88.866667 25.433333 8.016667 \n",
"61258 18.077803 50.950000 65.750000 \n",
"61222 34.196891 11.216667 22.383333 \n",
"61259 44.983642 12.483333 18.733333 \n",
"61260 49.836066 19.500000 24.083333 \n",
"61261 70.949721 22.733333 18.266667 \n",
"61262 69.868173 25.483333 16.566667 \n",
"61236 8.187135 11.850000 41.866667 \n",
"61263 4.041174 0.000000 28.166667 \n",
"61264 19.329389 39.066667 53.866667 \n",
"61265 8.674699 0.000000 34.166667 \n",
"61243 11.744966 8.616667 25.266667 \n",
"61266 60.117302 27.516667 25.550000 \n",
"61267 89.898054 21.516667 0.000000 \n",
"61247 6.851312 11.516667 33.350000 \n",
"61251 9.392265 72.883333 87.700000 \n",
"61252 85.323383 18.833333 9.566667 \n",
"\n",
" drive_duration_diff \n",
"ags \n",
"61253 14.816667 \n",
"61254 12.933333 \n",
"61203 -7.433333 \n",
"61204 20.333333 \n",
"61205 14.816667 \n",
"61206 14.816667 \n",
"61207 21.783333 \n",
"61255 -3.533333 \n",
"61256 21.850000 \n",
"61213 2.850000 \n",
"61215 17.200000 \n",
"61217 20.266667 \n",
"61257 -17.416667 \n",
"61258 14.800000 \n",
"61222 11.166667 \n",
"61259 6.250000 \n",
"61260 4.583333 \n",
"61261 -4.466667 \n",
"61262 -8.916667 \n",
"61236 30.016667 \n",
"61263 28.166667 \n",
"61264 14.800000 \n",
"61265 34.166667 \n",
"61243 16.650000 \n",
"61266 -1.966667 \n",
"61267 -21.516667 \n",
"61247 21.833333 \n",
"61251 14.816667 \n",
"61252 -9.266667 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"df = pd.read_csv(\"results_leitspital.csv\", index_col=0)\n",
"\n",
"df[\"yes_percentage\"] = (df[\"yes\"] / df[\"valid\"]) * 100\n",
"\n",
"hospital_new = \"Stainach-Pürgg\"\n",
"hospitals_old = df.loc[df[\"num_hospitals\"] > 0, \"municipality\"].ravel()\n",
"\n",
"def duration_to_closest_hospital(origin):\n",
" return min([drive_duration(origin, e) for e in hospitals_old])\n",
"\n",
"df[\"drive_duration_old\"] = df[\"municipality\"].apply(lambda municipality: duration_to_closest_hospital(municipality))\n",
"df[\"drive_duration_new\"] = df[\"municipality\"].apply(lambda municipality: drive_duration(municipality, hospital_new))\n",
"df[\"drive_duration_diff\"] = df[\"drive_duration_new\"] - df[\"drive_duration_old\"]\n",
"\n",
"display(df)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>population</th>\n",
" <th>latitude</th>\n",
" <th>longitude</th>\n",
" <th>eligible</th>\n",
" <th>votes</th>\n",
" <th>valid</th>\n",
" <th>yes</th>\n",
" <th>no</th>\n",
" <th>num_hospitals</th>\n",
" <th>num_hospitals_new</th>\n",
" <th>yes_percentage</th>\n",
" <th>drive_duration_old</th>\n",
" <th>drive_duration_new</th>\n",
" <th>drive_duration_diff</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>population</th>\n",
" <td>1.000000</td>\n",
" <td>-0.114624</td>\n",
" <td>-0.193464</td>\n",
" <td>0.997371</td>\n",
" <td>0.895073</td>\n",
" <td>0.895232</td>\n",
" <td>0.438723</td>\n",
" <td>0.688191</td>\n",
" <td>0.520392</td>\n",
" <td>0.010207</td>\n",
" <td>-0.031981</td>\n",
" <td>-0.405892</td>\n",
" <td>-0.259758</td>\n",
" <td>0.115812</td>\n",
" </tr>\n",
" <tr>\n",
" <th>latitude</th>\n",
" <td>-0.114624</td>\n",
" <td>1.000000</td>\n",
" <td>0.587397</td>\n",
" <td>-0.105768</td>\n",
" <td>-0.055957</td>\n",
" <td>-0.056979</td>\n",
" <td>-0.104346</td>\n",
" <td>-0.002958</td>\n",
" <td>-0.050147</td>\n",
" <td>0.007214</td>\n",
" <td>-0.259804</td>\n",
" <td>0.428870</td>\n",
" <td>0.434302</td>\n",
" <td>0.087496</td>\n",
" </tr>\n",
" <tr>\n",
" <th>longitude</th>\n",
" <td>-0.193464</td>\n",
" <td>0.587397</td>\n",
" <td>1.000000</td>\n",
" <td>-0.178956</td>\n",
" <td>-0.124996</td>\n",
" <td>-0.126300</td>\n",
" <td>-0.140383</td>\n",
" <td>-0.055143</td>\n",
" <td>-0.214416</td>\n",
" <td>-0.029951</td>\n",
" <td>-0.209782</td>\n",
" <td>0.695969</td>\n",
" <td>0.635547</td>\n",
" <td>0.051081</td>\n",
" </tr>\n",
" <tr>\n",
" <th>eligible</th>\n",
" <td>0.997371</td>\n",
" <td>-0.105768</td>\n",
" <td>-0.178956</td>\n",
" <td>1.000000</td>\n",
" <td>0.904511</td>\n",
" <td>0.904525</td>\n",
" <td>0.446766</td>\n",
" <td>0.693469</td>\n",
" <td>0.518117</td>\n",
" <td>0.000658</td>\n",
" <td>-0.031889</td>\n",
" <td>-0.395338</td>\n",
" <td>-0.252489</td>\n",
" <td>0.113475</td>\n",
" </tr>\n",
" <tr>\n",
" <th>votes</th>\n",
" <td>0.895073</td>\n",
" <td>-0.055957</td>\n",
" <td>-0.124996</td>\n",
" <td>0.904511</td>\n",
" <td>1.000000</td>\n",
" <td>0.999993</td>\n",
" <td>0.316489</td>\n",
" <td>0.861491</td>\n",
" <td>0.720942</td>\n",
" <td>0.055938</td>\n",
" <td>-0.160425</td>\n",
" <td>-0.471811</td>\n",
" <td>-0.226121</td>\n",
" <td>0.234172</td>\n",
" </tr>\n",
" <tr>\n",
" <th>valid</th>\n",
" <td>0.895232</td>\n",
" <td>-0.056979</td>\n",
" <td>-0.126300</td>\n",
" <td>0.904525</td>\n",
" <td>0.999993</td>\n",
" <td>1.000000</td>\n",
" <td>0.315765</td>\n",
" <td>0.861884</td>\n",
" <td>0.721536</td>\n",
" <td>0.056489</td>\n",
" <td>-0.160846</td>\n",
" <td>-0.473147</td>\n",
" <td>-0.226813</td>\n",
" <td>0.234767</td>\n",
" </tr>\n",
" <tr>\n",
" <th>yes</th>\n",
" <td>0.438723</td>\n",
" <td>-0.104346</td>\n",
" <td>-0.140383</td>\n",
" <td>0.446766</td>\n",
" <td>0.316489</td>\n",
" <td>0.315765</td>\n",
" <td>1.000000</td>\n",
" <td>-0.209008</td>\n",
" <td>-0.144821</td>\n",
" <td>0.406202</td>\n",
" <td>0.768657</td>\n",
" <td>-0.021927</td>\n",
" <td>-0.597363</td>\n",
" <td>-0.759637</td>\n",
" </tr>\n",
" <tr>\n",
" <th>no</th>\n",
" <td>0.688191</td>\n",
" <td>-0.002958</td>\n",
" <td>-0.055143</td>\n",
" <td>0.693469</td>\n",
" <td>0.861491</td>\n",
" <td>0.861884</td>\n",
" <td>-0.209008</td>\n",
" <td>1.000000</td>\n",
" <td>0.821046</td>\n",
" <td>-0.158874</td>\n",
" <td>-0.576583</td>\n",
" <td>-0.475927</td>\n",
" <td>0.085497</td>\n",
" <td>0.647949</td>\n",
" </tr>\n",
" <tr>\n",
" <th>num_hospitals</th>\n",
" <td>0.520392</td>\n",
" <td>-0.050147</td>\n",
" <td>-0.214416</td>\n",
" <td>0.518117</td>\n",
" <td>0.720942</td>\n",
" <td>0.721536</td>\n",
" <td>-0.144821</td>\n",
" <td>0.821046</td>\n",
" <td>1.000000</td>\n",
" <td>-0.064194</td>\n",
" <td>-0.342515</td>\n",
" <td>-0.422381</td>\n",
" <td>-0.022605</td>\n",
" <td>0.445744</td>\n",
" </tr>\n",
" <tr>\n",
" <th>num_hospitals_new</th>\n",
" <td>0.010207</td>\n",
" <td>0.007214</td>\n",
" <td>-0.029951</td>\n",
" <td>0.000658</td>\n",
" <td>0.055938</td>\n",
" <td>0.056489</td>\n",
" <td>0.406202</td>\n",
" <td>-0.158874</td>\n",
" <td>-0.064194</td>\n",
" <td>1.000000</td>\n",
" <td>0.367720</td>\n",
" <td>0.025023</td>\n",
" <td>-0.303049</td>\n",
" <td>-0.426059</td>\n",
" </tr>\n",
" <tr>\n",
" <th>yes_percentage</th>\n",
" <td>-0.031981</td>\n",
" <td>-0.259804</td>\n",
" <td>-0.209782</td>\n",
" <td>-0.031889</td>\n",
" <td>-0.160425</td>\n",
" <td>-0.160846</td>\n",
" <td>0.768657</td>\n",
" <td>-0.576583</td>\n",
" <td>-0.342515</td>\n",
" <td>0.367720</td>\n",
" <td>1.000000</td>\n",
" <td>0.094803</td>\n",
" <td>-0.649780</td>\n",
" <td>-0.959847</td>\n",
" </tr>\n",
" <tr>\n",
" <th>drive_duration_old</th>\n",
" <td>-0.405892</td>\n",
" <td>0.428870</td>\n",
" <td>0.695969</td>\n",
" <td>-0.395338</td>\n",
" <td>-0.471811</td>\n",
" <td>-0.473147</td>\n",
" <td>-0.021927</td>\n",
" <td>-0.475927</td>\n",
" <td>-0.422381</td>\n",
" <td>0.025023</td>\n",
" <td>0.094803</td>\n",
" <td>1.000000</td>\n",
" <td>0.673551</td>\n",
" <td>-0.241232</td>\n",
" </tr>\n",
" <tr>\n",
" <th>drive_duration_new</th>\n",
" <td>-0.259758</td>\n",
" <td>0.434302</td>\n",
" <td>0.635547</td>\n",
" <td>-0.252489</td>\n",
" <td>-0.226121</td>\n",
" <td>-0.226813</td>\n",
" <td>-0.597363</td>\n",
" <td>0.085497</td>\n",
" <td>-0.022605</td>\n",
" <td>-0.303049</td>\n",
" <td>-0.649780</td>\n",
" <td>0.673551</td>\n",
" <td>1.000000</td>\n",
" <td>0.554830</td>\n",
" </tr>\n",
" <tr>\n",
" <th>drive_duration_diff</th>\n",
" <td>0.115812</td>\n",
" <td>0.087496</td>\n",
" <td>0.051081</td>\n",
" <td>0.113475</td>\n",
" <td>0.234172</td>\n",
" <td>0.234767</td>\n",
" <td>-0.759637</td>\n",
" <td>0.647949</td>\n",
" <td>0.445744</td>\n",
" <td>-0.426059</td>\n",
" <td>-0.959847</td>\n",
" <td>-0.241232</td>\n",
" <td>0.554830</td>\n",
" <td>1.000000</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" population latitude longitude eligible votes \\\n",
"population 1.000000 -0.114624 -0.193464 0.997371 0.895073 \n",
"latitude -0.114624 1.000000 0.587397 -0.105768 -0.055957 \n",
"longitude -0.193464 0.587397 1.000000 -0.178956 -0.124996 \n",
"eligible 0.997371 -0.105768 -0.178956 1.000000 0.904511 \n",
"votes 0.895073 -0.055957 -0.124996 0.904511 1.000000 \n",
"valid 0.895232 -0.056979 -0.126300 0.904525 0.999993 \n",
"yes 0.438723 -0.104346 -0.140383 0.446766 0.316489 \n",
"no 0.688191 -0.002958 -0.055143 0.693469 0.861491 \n",
"num_hospitals 0.520392 -0.050147 -0.214416 0.518117 0.720942 \n",
"num_hospitals_new 0.010207 0.007214 -0.029951 0.000658 0.055938 \n",
"yes_percentage -0.031981 -0.259804 -0.209782 -0.031889 -0.160425 \n",
"drive_duration_old -0.405892 0.428870 0.695969 -0.395338 -0.471811 \n",
"drive_duration_new -0.259758 0.434302 0.635547 -0.252489 -0.226121 \n",
"drive_duration_diff 0.115812 0.087496 0.051081 0.113475 0.234172 \n",
"\n",
" valid yes no num_hospitals \\\n",
"population 0.895232 0.438723 0.688191 0.520392 \n",
"latitude -0.056979 -0.104346 -0.002958 -0.050147 \n",
"longitude -0.126300 -0.140383 -0.055143 -0.214416 \n",
"eligible 0.904525 0.446766 0.693469 0.518117 \n",
"votes 0.999993 0.316489 0.861491 0.720942 \n",
"valid 1.000000 0.315765 0.861884 0.721536 \n",
"yes 0.315765 1.000000 -0.209008 -0.144821 \n",
"no 0.861884 -0.209008 1.000000 0.821046 \n",
"num_hospitals 0.721536 -0.144821 0.821046 1.000000 \n",
"num_hospitals_new 0.056489 0.406202 -0.158874 -0.064194 \n",
"yes_percentage -0.160846 0.768657 -0.576583 -0.342515 \n",
"drive_duration_old -0.473147 -0.021927 -0.475927 -0.422381 \n",
"drive_duration_new -0.226813 -0.597363 0.085497 -0.022605 \n",
"drive_duration_diff 0.234767 -0.759637 0.647949 0.445744 \n",
"\n",
" num_hospitals_new yes_percentage drive_duration_old \\\n",
"population 0.010207 -0.031981 -0.405892 \n",
"latitude 0.007214 -0.259804 0.428870 \n",
"longitude -0.029951 -0.209782 0.695969 \n",
"eligible 0.000658 -0.031889 -0.395338 \n",
"votes 0.055938 -0.160425 -0.471811 \n",
"valid 0.056489 -0.160846 -0.473147 \n",
"yes 0.406202 0.768657 -0.021927 \n",
"no -0.158874 -0.576583 -0.475927 \n",
"num_hospitals -0.064194 -0.342515 -0.422381 \n",
"num_hospitals_new 1.000000 0.367720 0.025023 \n",
"yes_percentage 0.367720 1.000000 0.094803 \n",
"drive_duration_old 0.025023 0.094803 1.000000 \n",
"drive_duration_new -0.303049 -0.649780 0.673551 \n",
"drive_duration_diff -0.426059 -0.959847 -0.241232 \n",
"\n",
" drive_duration_new drive_duration_diff \n",
"population -0.259758 0.115812 \n",
"latitude 0.434302 0.087496 \n",
"longitude 0.635547 0.051081 \n",
"eligible -0.252489 0.113475 \n",
"votes -0.226121 0.234172 \n",
"valid -0.226813 0.234767 \n",
"yes -0.597363 -0.759637 \n",
"no 0.085497 0.647949 \n",
"num_hospitals -0.022605 0.445744 \n",
"num_hospitals_new -0.303049 -0.426059 \n",
"yes_percentage -0.649780 -0.959847 \n",
"drive_duration_old 0.673551 -0.241232 \n",
"drive_duration_new 1.000000 0.554830 \n",
"drive_duration_diff 0.554830 1.000000 "
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# check the correlation coefficients\n",
"correlations = df.corr(method=\"pearson\")\n",
"display(correlations)"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 720x720 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"sns.set()\n",
"fig, ax = plt.subplots(figsize=(10, 10))\n",
"\n",
"circle_sizes = df[\"population\"] / df[\"population\"].max() * 500\n",
"\n",
"g = sns.regplot(x=\"drive_duration_diff\", y=\"yes_percentage\", data=df, ax=ax, ci=90,\n",
" scatter_kws={\"s\": circle_sizes, \"alpha\": 0.7},\n",
" line_kws={\"linewidth\": 0})\n",
"\n",
"plt.ylim(0, 100)\n",
"plt.ylabel(\"Anteil der JA Stimmen\")\n",
"plt.xlabel(\"Fahrzeitänderung zum Leitspital\")\n",
"plt.title(\"Wahlverhalten der Gemeinden in Relation zur Fahrzeitänderung \\n\" \\\n",
" \"zum neu geplanten Leitspital Stainach-Pürgg \\n\" \\\n",
" \"(Kreisgröße korreliert mit Gemeindebevölkerung)\", size=16, y=1.05)\n",
"\n",
"# add units to axes\n",
"ax.get_xaxis().set_major_formatter(matplotlib.ticker.FuncFormatter(lambda x, p: \"{0:+.0f} min\".format(x)))\n",
"ax.get_yaxis().set_major_formatter(matplotlib.ticker.FuncFormatter(lambda x, p: \"{0:.0f} %\".format(x)))\n",
"\n",
"# some additional notes\n",
"plt.text(plt.xlim()[1], plt.ylim()[1], \"Datenquelle: wahlen.steiermark.at\", ha='right', va='bottom', color=\"slategrey\")\n",
"plt.text(plt.xlim()[0], plt.ylim()[1], \"Volksbefragung Leitspital vom 7. April 2019\", ha='left', va='bottom', color=\"slategrey\")\n",
"\n",
"# manually adjusted text labels\n",
"label_offsets = {\n",
" \"Admont\": (0, 1.5),\n",
" \"Altenmarkt bei Sankt Gallen\": (0, 1),\n",
" \"Sankt Gallen\": (0, -0.5),\n",
" \"Landl\": (0, -1),\n",
" \"Aich\": (4.5, 0),\n",
" \"Sölk\": (4.5, 0),\n",
" \"Irdning-Donnersbachtal\": (16, 0),\n",
" \"Stainach-Pürgg\": (8.5, 3),\n",
" \"Mitterberg-Sankt Martin\": (15.5, 0),\n",
" \"Michaelerberg-Pruggern\": (15.5, 0),\n",
" \"Haus\": (5, 0),\n",
" \"Schladming\": (9, 0),\n",
" \"Ramsau am Dachstein\": (14, -2.5),\n",
" \"Rottenmann\": (9.5, -1),\n",
" \"Trieben\": (6.5, 0),\n",
" \"Grundlsee\": (0, 0.2),\n",
" \"Gaishorn am See\": (11.9, -0.5),\n",
" \"Bad Aussee\": (9, 0),\n",
" \"Altaussee\": (4, 3),\n",
" \"Selzthal\": (0.5, 2),\n",
"}\n",
"\n",
"for _, (munic, diff, yes) in df.loc[:, [\"municipality\", \"drive_duration_diff\", \"yes_percentage\"]].iterrows():\n",
" dx, dy = label_offsets.get(munic, (0, 0))\n",
" plt.text(diff - 1.2 + dx, yes + dy, munic, ha='right', va='center', size=11, color=\"slategrey\")\n",
"\n",
"# store and show\n",
"plt.tight_layout()\n",
"plt.savefig(\"plot.png\", bbox_inches=\"tight\")\n",
"plt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Raw
voting_leitspital.csv
ags municipality population latitude longitude eligible votes valid yes no num_hospitals num_hospitals_new
61253 Admont 5017 47.5667 14.4667 4017 1560 1554 331 1223 0 0
61254 Aich 1283 47.4167 13.8167 993 366 366 123 243 0 0
61203 Aigen im Ennstal 2706 47.5167 14.15 2157 938 933 736 197 0 0
61204 Altaussee 1879 47.6333 13.7667 1525 822 821 90 731 0 0
61205 Altenmarkt bei Sankt Gallen 821 47.7167 14.6333 651 237 237 47 190 0 0
61206 Ardning 1228 47.5833 14.3667 1023 433 432 131 301 0 0
61207 Bad Aussee 4830 47.6167 13.7833 3604 1867 1861 193 1668 1 0
61255 Bad Mitterndorf 4966 47.55 13.9333 3801 1230 1228 715 513 0 0
61256 Gaishorn am See 1334 47.4833 14.55 1081 611 609 56 553 0 0
61213 Gröbming 3011 47.45 13.9 2226 642 640 317 323 0 0
61215 Grundlsee 1201 47.6333 13.8333 1009 487 484 55 429 0 0
61217 Haus 2428 47.4 13.7667 1886 679 676 155 521 0 0
61257 Irdning-Donnersbachtal 4125 47.5 14.1 3340 1510 1500 1333 167 0 0
61258 Landl 2719 47.65 14.7333 2328 883 874 158 716 0 0
61222 Lassing 1723 47.5333 14.2667 1453 582 579 198 381 0 0
61259 Liezen 8211 47.5667 14.2333 5869 1838 1834 825 1009 0 0
61260 Michaelerberg-Pruggern 1178 47.4167 13.8833 874 306 305 152 153 0 0
61261 Mitterberg-Sankt Martin 1936 47.4833 13.9833 1535 541 537 381 156 0 0
61262 Öblarn 2029 47.45 14.0 1529 532 531 371 160 0 0
61236 Ramsau am Dachstein 2804 47.4167 13.65 2114 857 855 70 785 0 0
61263 Rottenmann 5236 47.5333 14.35 3982 2629 2623 106 2517 1 0
61264 Sankt Gallen 1832 47.6833 14.6167 1423 515 507 98 409 0 0
61265 Schladming 6661 47.4 13.6833 4987 2079 2075 180 1895 1 0
61243 Selzthal 1593 47.55 14.3167 1235 597 596 70 526 0 0
61266 Sölk 1493 47.4 13.9667 1251 342 341 205 136 0 0
61267 Stainach-Pürgg 2861 47.5333 14.1 2141 1081 1079 970 109 0 1
61247 Trieben 3393 47.4833 14.4833 2608 1378 1372 94 1278 0 0
61251 Wildalpen 466 47.65 14.9833 407 182 181 17 164 0 0
61252 Wörschach 1128 47.55 14.15 904 405 402 343 59 0 0
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment