1 files changed, 22 insertions, 20 deletions
diff --git a/stats.py.ipynb b/stats.py.ipynb
index 2294c64..2b46f1a 100644
--- a/stats.py.ipynb
+++ b/stats.py.ipynb
@@ -13,7 +13,7 @@
   {
    "cell_type": "code",
    "execution_count": 199,
-   "id": "pacific-fellow",
+   "id": "persistent-recall",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -72,7 +72,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "ranging-calculation",
+   "id": "russian-indian",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -80,7 +80,7 @@
   {
    "cell_type": "code",
    "execution_count": 141,
-   "id": "analyzed-optimization",
+   "id": "accessory-least",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -90,8 +90,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 200,
-   "id": "associate-wesley",
+   "execution_count": 233,
+   "id": "future-posting",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -105,13 +105,15 @@
     "        \"party\": p3 / p2,\n",
     "        \"name\": df3[p]\n",
     "    })\n",
-    "    return odf[odf[\"party\"] < 1].plot.scatter(x=\"votes\", y=\"party\")"
+    "    g = odf[odf[\"party\"] < 1].plot.scatter(x=\"votes\", y=\"party\")\n",
+    "    g.set_ylim(0,1)\n",
+    "    return g"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 201,
-   "id": "unexpected-alcohol",
+   "execution_count": 234,
+   "id": "sublime-packaging",
    "metadata": {},
    "outputs": [
     {
@@ -120,13 +122,13 @@
        "<AxesSubplot:xlabel='votes', ylabel='party'>"
       ]
      },
-     "execution_count": 201,
+     "execution_count": 234,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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tWf8ayY3nzcymjYVzZjJQLI5aN1AssnDOzCZV1BgHDYKIuFvSPcDaiPgvDarJzKwp5s7uYt35y1hT1kcwnc8GoIbO4ogYkvRRwEFgZtPequULWLF4nkcNVfCwpBuBbwOvD6+MiCczqcrMrInmzu7KRQAMqzUIlqf/XluyLoAz61qNmZk1XE1BEBEfyLoQMzNrjlrPCJD0EZKhpCPDRiPi2urPMDOzqaDWaaj/mmQG0isAkcwzdGyGdZmZWYPUemXxb0XEp4A9EfFl4L0kM5GamdkUV2sQ7Ev/fUPS0cAA8LZsSjIzs0aqtY/gHklHAeuAJ9J138ikIjMza6hag+DPgM8D7wMeAf4Z+KusijIzs8apNQi+STK/0NfS5UuAbwGfyKIoMzNrnFqD4J0RsbRk+QFJ27MoyMzMGqvWzuInJZ02vCDpVKAnm5LMzKyRaj0jeA/wfyQ9ly4vAp6V9CMgImJZJtWZmVnmag2ClZlWYWZmTVPrXEO/yLoQMzNrjlr7CMzMbJpyEJiZ5ZyDwMws5zINAkkrJT0rqVfSNQfZ73xJIak7y3rMzGyszIJAUgG4CTgbWApcLGlphf0OB/498FhWtZiZWXVZnhGcAvRGxI6IOADcDpxXYb+vANcB+zOsxczMqsgyCBYAz5cs96XrRkh6N3BMRHz3YAeStFpSj6SeXbt21b9SM7Mca1pnsaQ24KvAlYfaNyLWR0R3RHTPnz8/++LMzHIkyyDYCRxTsrwwXTfscOCdwIOSfg6cBmx0h7GZWWNlGQSPA0skHS+pE7gI2Di8MSJeiYh5EXFcRBwHPAqsighPZmdm1kCZBUFEDAKXA5uAZ4A7ImKbpGslrcrqdc3MbHxqnXRuQiLiXuDesnV/XGXfM7KsxczMKvOVxWZmOecgMDPLOQeBmVnOOQjMzHLOQWBmlnMOAjOznHMQmJnlnIPAzCznHARmZjnnIDAzyzkHgZlZzjkIzMxyzkFgZpZzDgIzs5xzEJiZ5ZyDwMws5xwEZmY55yAwM8s5B4GZWc45CMzMcs5BYGaWcw4CM7OccxCYmeWcg8DMLOccBGZmOecgMDPLOQeBmVnOOQjMzHLOQWBmlnMOAjOznHMQmJnlnIPAzCznHARmZjnnIDAzy7lMg0DSSknPSuqVdE2F7X8oabukrZLuk3RslvWYmdlYmQWBpAJwE3A2sBS4WNLSst2eArojYhlwF7Auq3rMzKyyLM8ITgF6I2JHRBwAbgfOK90hIh6IiDfSxUeBhRnWY2ZmFWQZBAuA50uW+9J11XwW+F6lDZJWS+qR1LNr1646lmhmZi3RWSzpk0A3cH2l7RGxPiK6I6J7/vz5jS3OzGyaa8/w2DuBY0qWF6brRpH0QeCLwPsjoj/DeszMrIIszwgeB5ZIOl5SJ3ARsLF0B0nvAv4GWBURL2ZYi5mZVZFZEETEIHA5sAl4BrgjIrZJulbSqnS364HZwJ2SNkvaWOVwZmaWkSybhoiIe4F7y9b9ccnjD2b5+mZmdmgt0VlsZmbN4yAwM8s5B4GZWc45CMzMcs5BYGaWcw4CM7OccxCYmeWcg8DMLOccBGZmOecgMDPLOQeBmVnOOQjMzHLOQWBmlnMOAjOznHMQmJnlnIPAzCznHARmZjnnIDAzyzkHgZlZzjkIzMxyzkFgZpZzDgIzs5xzEJiZ5ZyDwMws5xwEZmY55yAwM8s5B4GZWc45CMzMcs5BYGaWcw4CM7OccxCYmeWcg8DMLOccBGZmOecgMDPLOQeBmVnOZRoEklZKelZSr6RrKmzvkvTtdPtjko7Lsh4zMxsrsyCQVABuAs4GlgIXS1patttngT0RsRj4c+C6rOoxM7PKsjwjOAXojYgdEXEAuB04r2yf84Bvpo/vAs6SpAxrMjOzMu0ZHnsB8HzJch9warV9ImJQ0ivAXOCl0p0krQZWp4t7JT2bScWjzSuvo4W4tolr5fpc28S4ttocW21DlkFQNxGxHljfyNeU1BMR3Y18zVq5tolr5fpc28S4tsnLsmloJ3BMyfLCdF3FfSS1A0cCuzOsyczMymQZBI8DSyQdL6kTuAjYWLbPRuDT6eMLgPsjIjKsyczMymTWNJS2+V8ObAIKwM0RsU3StUBPRGwE/ha4VVIv8GuSsGgVDW2KGifXNnGtXJ9rmxjXNknyB3Azs3zzlcVmZjnnIDAzy7lcBkENU18skvSApKckbZV0ToXteyVd1Uq1SVom6RFJ2yT9SNKMVqhNUoekb6Y1PSPpC/Wsq8bajpV0X1rXg5IWlmz7tKSfpF+fLn9us2qTtLzk97lV0oX1rm0y9ZVsP0JSn6QbW6m29P/j99P/c9vrPYXNJGtbl/5en5H0taZfSBsRufoi6bj+KXAC0AlsAZaW7bMe+Hz6eCnw87LtdwF3Ale1Sm0kHf9bgZPT5blAoUVquwS4PX18GPBz4LgG13Yn8On08ZnArenjtwA70n/npI/ntEhtJwJL0sdHA78EjmrC/7mK9ZVs/wvgNuDGVqoNeBD4UPp4NnBYK9QG/BbwcHqMAvAIcEY9f3bj/crjGUEtU18EcET6+EjgheENkj4K/AzY1mK1fRjYGhFbACJid0QMtUhtAcxKrxWZCRwAXm1wbUuB+9PHD5Rs/x3gBxHx64jYA/wAWNkKtUXEjyPiJ+njF4AXgfl1rG1S9QFIeg/wG8D361zXpGpTMq9Ze0T8ACAi9kbEG61QG8nfwwySAOkCOoBf1bG2cctjEFSa+mJB2T5fAj4pqQ+4F7gCQNJsYC3w5VarjeTTY0jaJOlJSWtaqLa7gNdJPtE+B/xZRPy6wbVtAT6WPv494HBJc2t8brNqGyHpFJI3jp/WsbZJ1SepDbgBqHsT6WRrI/l7eFnS/0ibKq9XMhFm02uLiEdIguGX6demiHimjrWNWx6DoBYXA7dExELgHJJrHdpI3uj+PCL2tmBt7cBvA/8q/ff3JJ3VIrWdAgyRNG8cD1wp6YQG13YV8H5JTwHvJ7mqvZ5nTJNx0NokvQ24FfhMRBRbqL7fB+6NiL4m1HSo2tqB96Xb/yVJE86lrVCbpMXAO0hmW1gAnCnpfQ2ubZQpMddQndUy9cVnSZsHIuKRtNN1HsmkeRdIWgccBRQl7Y+IenWSTaa2PuCHEfESgKR7gXcD97VAbZcA/zMiBoAXJT0MdJO0xzektrRp5WMwcmZ3fkS8LGkncEbZcx+sU12Tqi1dPgL4LvDFiHi0jnVNuj5J7wXeJ+n3SdrgOyXtjYgxHadNqK0P2BwRO9Jt3wFOI7mItdm1fQ54dPgDpaTvAe8F/rlOtY1fMzsomvFFEn47SD6ZDnfynFS2z/eAS9PH7yBp61bZPl+i/p3FE66NpKPzSZLO2HbgfwEfaZHa1gJ/l66fBWwHljW4tnlAW/r4T4Br08dvIenzmZN+/Qx4S4vU1kkS5P+hyX8PFesr2+dS6t9ZPJmfXSHdf366/HfAZS1S24Xp32c7Sf/AfcDvZvU7run7aeaLN+2bTpotfkzS3vrFdN21wKr08VKSXv0twGbgwxWO8SXqHASTrQ34JEkn9tPAulapjeTT4p1pbduBq5tQ2wXAT9J9vgF0lTz3XwO96ddnWqW29Pc5kP4sh7+Wt0p9Zce4lDoHQR1+rx8iGUn3I+AWoLMVaiMJqb8Bnkn/Hr5a75/beL88xYSZWc65s9jMLOccBGZmOecgMDPLOQeBmVnOOQjMzHLOQWA2SZKOk3RJs+swmygHgdnkHUdy9bTZlOQgMKtA0p9Kuqxk+UuSrk4nL3tayb0Vhu8P8KckUy1slvQHkgrpfo+nc9H/2/QYb5P0w3S/p5s9v4zZMF9QZlaBpHcB/y0i3p8ubweuI7nadyXJ9AGPk8w/9ZskV5mfm+67GnhrRPxnSV0kV1t/nGTemRkR8SfpTJiHRcRrDf7WzMbI46RzZocUEU9Jequko0nuAbAHWA78QyT3efiVpP9NMrNl+b0VPgwsk3RBunwksIQkOG6W1AF8JyI2Z/+dmB2ag8CsujtJ5ov5F8C3SSYYq4WAKyJi05gN0unAR4BbJH01Ir5Vr2LNJsp9BGbVfRu4iCQM7iSZJvjCtA9gPnA68H+B14DDS563Cfh8+skfSSdKmiXpWOBXEfF1kknI3t24b8WsOp8RmFUREdskHQ7sjIhfSvpHknnjt5DcbnBNRPw/SbtJbjiyhWSWy78gGUn0ZHpT8l3AR0nue3C1pAFgL/Cpxn5HZpW5s9jMLOfcNGRmlnMOAjOznHMQmJnlnIPAzCznHARmZjnnIDAzyzkHgZlZzv1/NT9nIevzkzsAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -143,8 +145,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 202,
-   "id": "frank-sleeping",
+   "execution_count": 235,
+   "id": "discrete-eugene",
    "metadata": {},
    "outputs": [
     {
@@ -153,13 +155,13 @@
        "<AxesSubplot:xlabel='votes', ylabel='party'>"
       ]
      },
-     "execution_count": 202,
+     "execution_count": 235,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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VDJn5sqoLkST1hnaPGIiIV1M7dfWp01Qz88rWr5Ak9aN2p93+JLUZVt8BBLV5kp5TYV2SpC5p98rn38vMPwL2ZOYHgd+lNtOqJOkg024wPFn894mIOAaYAJ5dTUmSpG5qd4zhaxFxFPAR4O5i3acrqUiS1FXtBsP/At4GvBj4HvAd4BNVFSVJ6p52g+Fz1OZH+lix/Gbg88D5VRQlSeqedoPheZm5vm75tojYUUVBkqTuanfw+fsR8aKZhYg4ExippiRJUje1e8TwAuAfI+JfiuXjgPsi4gdAZuaplVQnSeq4doNhU6VVSJJ6RrtzJf286kIkSb2h3TEGSdIhwmCQJJUYDJKkkkqDISI2RcR9ETEaEZfPst0bIiIjYrjKeiRJc6ssGCJiELgGeBWwHrgwItY32e4I4M+AO6uqRZLUviqPGF4IjGbm/Zm5D7gOOLfJdh8CrgJ+U2EtkqQ2VRkMxwIP1C2PFeueEhFnAOsy8+uzvVFEXBIRIxExsmvXrsWvVJL0lK4NPkfEAPBR4F1zbZuZ12bmcGYOr1mzpvriJOkQVmUw7ATW1S2vLdbNOAJ4HvCtiPgZ8CJgswPQktRdVQbDXcBJEXFCRCwFLgA2zzyZmY9m5urMPD4zjwfuAM7JTCfnk6QuqiwYMnMSuBS4BfghcH1mbo+IKyPinKr+riRpYdqdRO+AZObNwM0N697XYtuzqqxFktQer3yWJJUYDJKkEoNBklRiMEiSSgwGSVKJwSBJKjEYJEklBoMkqcRgkCSVGAySpBKDQZJUYjBIkkoMBklSicEgSSoxGCRJJQaDJKnEYJAklRgMkqQSg0GSVGIwSJJKDAZJUonBIEkqMRgkSSUGgySpxGCQJJUYDJKkEoNBklRiMEiSSgwGSVKJwSBJKjEYJEklBoMkqcRgkCSVGAySpJJKgyEiNkXEfRExGhGXN3n+nRGxIyK2RcQ3I+I5VdYjSZpbZcEQEYPANcCrgPXAhRGxvmGze4DhzDwVuAH4SFX1SJLaU+URwwuB0cy8PzP3AdcB59ZvkJm3ZeYTxeIdwNoK65EktaHKYDgWeKBueaxY18rFwDeaPRERl0TESESM7Nq1axFLlCQ16onB54i4CBgGrm72fGZem5nDmTm8Zs2azhYnSYeYoQrfeyewrm55bbGuJCJ+H7gCeGlmjldYjySpDVUeMdwFnBQRJ0TEUuACYHP9BhHxfOD/AOdk5kMV1iJJalNlwZCZk8ClwC3AD4HrM3N7RFwZEecUm10NHA58JSK2RMTmFm8nSeqQKruSyMybgZsb1r2v7vHvV/n3JUnz1xODz5Kk3mEwSJJKDAZJUonBIEkqMRgkSSUGgySpxGCQJJUYDJKkEoNBklRiMEiSSgwGSVKJwSBJKjEYJEklBoMkqcRgkCSVGAySpBKDQZJUYjBIkkoMBklSicEgSSoxGCRJJQaDJKnEYJAklRgMkqQSg0GSVGIwSJJKDAZJUonBIEkqMRgkSSUGgySpxGCQJJUYDJKkEoNBklRiMEiSSgwGSVJJpcEQEZsi4r6IGI2Iy5s8vywivlw8f2dEHF9lPZKkuVUWDBExCFwDvApYD1wYEesbNrsY2JOZJwJ/DVxVVT2SpPZUecTwQmA0M+/PzH3AdcC5DducC3yueHwD8IqIiAprkiTNYajC9z4WeKBueQw4s9U2mTkZEY8CRwMP128UEZcAlxSLeyPivkWob3Xj3+lx/VYv9F/N/VYv9F/N1lu9VjU/p903qDIYFk1mXgtcu5jvGREjmTm8mO9ZpX6rF/qv5n6rF/qvZuut3mLUXGVX0k5gXd3y2mJd020iYghYCeyusCZJ0hyqDIa7gJMi4oSIWApcAGxu2GYz8Jbi8XnArZmZFdYkSZpDZV1JxZjBpcAtwCDwmczcHhFXAiOZuRn4W+ALETEK/IpaeHTKonZNdUC/1Qv9V3O/1Qv9V7P1Vm/BNYc/0CVJ9bzyWZJUYjBIkkoOymCYayqOYpvzI2JHRGyPiC/WrZ+KiC3Fv8bB8q7UGxF/XVfTjyPikbrn3hIRPyn+vaXxtT1Yb8f3b5s1HxcRt0XEPRGxLSLOrnvuz4vX3RcRr+zleiPi+Ih4sm4ff7IT9bZZ83Mi4ptFvd+KiLV1z/Xi93i2ervRTnwmIh6KiHtbPB8R8bHi82yLiDPqnpvf/s3Mg+oftYHufwaeCywFtgLrG7Y5CbgHWFUsP7Puub29Vm/D9u+gNpAP8Azg/uK/q4rHq3q13m7s33l8J64F3lY8Xg/8rO7xVmAZcELxPoM9XO/xwL09uo+/ArylePxy4Au9/D1uVW8Xv8cvAc5o9b8vcDbwDSCAFwF3Huj+PRiPGNqZiuOtwDWZuQcgMx/qcI312qm33oXAl4rHrwT+PjN/VXyWvwc2VVrtwurtlnZqTuDI4vFK4MHi8bnAdZk5npk/BUaL9+vVerulnZrXA7cWj2+re75Xv8et6u2KzPw2tbM3WzkX+HzW3AEcFRHP5gD278EYDM2m4ji2YZuTgZMj4vaIuCMi6nfS8ogYKda/ruJaob16gdqhLbVfrTNf1rZfu4gWUi90fv9CezV/ALgoIsaAm6kd6bT72sW2kHoBTii6mP4hIl5caaVPa6fmrcDri8f/ATgiIo5u87WLbSH1Qne+x3Np9ZnmvX8PxmBoxxC17qSzqP2i/VREHFU895ysXU7+ZuBvIuLfdqXC5i4AbsjMqW4X0qZm9fbq/r0Q+GxmrqV2SP6FiOjl/3+0qvcXwHGZ+XzgncAXI+LIWd6nk94NvDQi7gFeSm3mg17+Ls9Wb69+jxdFL3/xD1Q7U3GMAZszc6LoHvgxtaAgM3cW/70f+Bbw/B6od8YFlLtl5vPaxbKQeruxf6G9mi8Gri9q+x6wnNpkZL26j5vWW3R57S7W302tH/3kiuuFNmrOzAcz8/VFaF1RrHuknddWYCH1dut7PJdWn2n++7fTAygdGKAZoja4cgJPDyptaNhmE/C54vFqaodZR1MbmFlWt/4nzDKw2ql6i+1OAX5GcVFiPj2o9NOi7lXF42f0cL0d37/z+E58A/jj4vHvUOuzD2AD5cHn+6l+8Hkh9a6ZqY/awOrOqr8T86h5NTBQPP5L4Mpe/h7PUm9XvsfF3zue1oPPr6Y8+PxPB7p/K/8g3fhH7dD6x9R+LV1RrLsSOKd4HMBHgR3AD4ALivW/VyxvLf57cS/UWyx/APhwk9f+J2oDoqPAn/Ryvd3av21+J9YDtxe1bQH+sO61VxSvuw94VS/XC7wB2F6s+z7w2h7ax+cVjeiPgU9TNK69+j1uVW8X24kvUesqnKDW63Ex8KfAnxbPB7Wbo/1zUdfwge5fp8SQJJUcjGMMkqQFMBgkSSUGgySpxGCQJJUYDJKkEoNBWqBiRtM3d7sOabEYDNLCHU9tagTpoGAwSE1ExIcj4u11yx+IiPdExNURcW9E/CAi3lQ8/WHgxcXc/P81IgaL7e4q5sX/L8V7PDsivl1sd28HJ7iT5sUL3KQmIuL5wN9k5kuL5R3AVcBF1KZUWQ3cBZwJ/Dbw7sx8TbHtJdTu8fHfI2IZtSuU30htps7lmfmXETEI/FZmPtbhjybNaajbBUi9KDPviYhnRsQx1OYf2gOcDnwpa7PF/jIi/gH4d8CvG17+h8CpEXFesbyS2iSNdwGfiYglwFczc0v1n0SaP4NBau0r1ObLeRbwZWoTrrUjgHdk5i37PRHxEmqTnX02Ij6amZ9frGKlxeIYg9Tal6lNHX4etZD4DvCmYgxhDbVbLf4T8BhwRN3rbgHeVhwZEBEnR8SK4sZFv8zMT1GblO0MpB7kEYPUQmZuj4gjgJ2Z+YuI+L/A71KbVTOByzLzXyNiNzAVEVuBzwL/m9qZSt+PiAB2Aa+jdmOo90TEBLAX+KPOfiKpPQ4+S5JK7EqSJJUYDJKkEoNBklRiMEiSSgwGSVKJwSBJKjEYJEkl/x+YbRCSGV83VgAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -176,8 +178,8 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 203,
-   "id": "industrial-procurement",
+   "execution_count": 236,
+   "id": "embedded-malpractice",
    "metadata": {},
    "outputs": [
     {
@@ -186,13 +188,13 @@
        "<AxesSubplot:xlabel='votes', ylabel='party'>"
       ]
      },
-     "execution_count": 203,
+     "execution_count": 236,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -210,7 +212,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "charming-hardware",
+   "id": "moderate-scene",
    "metadata": {},
    "outputs": [],
    "source": []
@@ -218,7 +220,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "worth-despite",
+   "id": "tender-secretary",
    "metadata": {},
    "outputs": [],
    "source": []