Frame Cluster.ipynb

{
 "worksheets": [
  {
   "cells": [
    {
     "metadata": {},
     "cell_type": "code",
     "input": "%load_ext rpy2.ipython",
     "prompt_number": 5,
     "outputs": [
      {
       "output_type": "stream",
       "text": "The rpy2.ipython extension is already loaded. To reload it, use:\n  %reload_ext rpy2.ipython\n",
       "stream": "stdout"
      }
     ],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "markdown",
     "source": "Refer to [dendrogram examples](http://rpubs.com/gaston/dendrograms) to see ways of drawing the things."
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "%%R\n\n## compute dendrogram of frames, using standard plot\ndata <- read.csv(\"data - all.csv\")\n\ndata_no_total <- data[data$Frames != c(\"Total\"),]\nrownames(data_no_total) <- data_no_total[,1]\ndata_no_total = data_no_total[1:nrow(data_no_total)-1,2:ncol(data_no_total)]\n#print(data_no_total)\ntransposed_data = t(data_no_total)\nd = dist(transposed_data, method=\"binary\")\nhc = hclust(d, method = \"ward.D2\")\n#plot(hc, labels=transposed_data$X)\n\nhcd = as.dendrogram(hc)\n#plot(hcd, type=\"triangle\")\n\nclusMember=cutree(hc, 4)\n\nlabelColors = c(\"#CDB380\", \"#036564\", \"#EB6841\", \"#EDC951\")\ncolLab <- function(n) {\n  if (is.leaf(n)) {\n    a <- attributes(n)\n    attr(n, \"label\") <- paste(toString(data[[a$label]][1]), a$label, \" \")\n    labCol <- labelColors[clusMember[which(names(clusMember) == a$label)]]\n    attr(n, \"nodePar\") <- c(a$nodePar, lab.col = labCol)\n  }\n  n\n}\n# using dendrapply\nclusDendro = dendrapply(hcd, colLab)\n# make plot\n\nplot(clusDendro, main = \"Cool Dendrogram\")\n\n\n\n",
     "prompt_number": 5,
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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DdgEAOjUuAjo4OPj06dPMn+fMmRMcHLxx40YO2gUA6NS4COg33nhj8eLF48eP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\nkUW0MQAAAABJRU5ErkJggg==\n",
       "metadata": {}
      }
     ],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "%R data_no_total",
     "prompt_number": 7,
     "outputs": [
      {
       "text": "    Frames  contest  injustice  collective.action  inconvenience  economic  \\\n0   23-Jan        0          0                  0              0         0   \n1   25-Jan        0          0                  0              0         0   \n2   13-Mar        1          0                  1              1         1   \n3   21-Mar        1          0                  0              0         0   \n4   26-Mar        0          0                  0              1         0   \n5    3-Apr        0          0                  0              0         0   \n6   14-Apr        0          0                  1              0         0   \n7   17-Apr        1          0                  0              0         0   \n8   18-Apr        0          0                  0              0         0   \n9   19-Apr        0          0                  0              0         0   \n10  20-Apr        0          0                  0              0         0   \n11  21-Apr        0          0                  0              0         0   \n12  29-Apr        0          0                  0              0         0   \n13  30-Apr        0          0                  0              1         0   \n14   7-May        0          0                  0              0         0   \n15  10-May        0          0                  0              0         0   \n16  14-May        0          0                  0              0         1   \n17  21-May        0          0                  0              1         0   \n18  22-May        0          0                  0              1         1   \n19  24-May        0          0                  0              0         0   \n20  28-May        0          0                  0              0         0   \n21  28-May        1          0                  0              0         0   \n22   4-Jun        1          0                  0              1         0   \n23   5-Jun        0          0                  0              0         0   \n24  13-Jun        1          0                  0              0         0   \n25  20-Jun        1          1                  0              0         0   \n26  27-Jun        0          0                  0              0         0   \n27  24-Jul        0          0                  0              0         0   \n28  25-Jul        0          0                  0              1         1   \n29   2-Aug        1          0                  1              0         0   \n30   9-Aug        0          1                  0              0         0   \n31  13-Aug        0          0                  0              0         0   \n32  28-Aug        0          0                  0              0         0   \n33  30-Aug        0          0                  0              0         0   \n34  13-Sep        0          0                  0              0         0   \n35  17-Sep        0          0                  0              0         0   \n36  28-Sep        0          0                  0              0         0   \n37  30-Sep        0          0                  0              0         0   \n38   3-Oct        0          0                  0              0         0   \n39   4-Oct        0          0                  0              0         1   \n40  16-Oct        0          0                  0              0         0   \n41  17-Oct        0          0                  0              0         0   \n42  24-Oct        0          0                  0              0         0   \n43  25-Oct        0          0                  0              1         0   \n44  28-Oct        0          0                  0              0         0   \n45  29-Oct        0          0                  0              0         0   \n46  29-Oct        0          0                  0              0         0   \n47   1-Nov        0          0                  0              0         0   \n48   1-Nov        1          0                  0              0         0   \n49   5-Nov        1          0                  0              0         1   \n50   7-Nov        0          0                  0              0         0   \n51  12-Nov        1          0                  0              0         0   \n52  19-Nov        0          0                  0              0         0   \n53  21-Nov        0          0                  0              0         0   \n54  29-Nov        0          0                  0              0         0   \n55               11          2                  3              8         6   \n\n    war..spectacle  sympathy  accountability  law.crime  moral  democracy  \\\n0                1         0               0          1      0          0   \n1                1         1               1          1      1          0   \n2                0         1               0          1      0          1   \n3                1         0               0          1      1          0   \n4                1         0               0          1      1          0   \n5                1         0               0          0      0          0   \n6                0         0               0          0      0          1   \n7                1         0               1          1      0          0   \n8                0         0               0          0      0          1   \n9                1         0               1          1      0          0   \n10               0         1               0          0      0          0   \n11               0         0               1          1      0          0   \n12               1         0               1          0      0          1   \n13               1         0               0          1      0          0   \n14               0         1               1          0      0          0   \n15               0         0               0          0      0          1   \n16               0         0               0          1      0          0   \n17               1         0               0          1      0          0   \n18               1         0               0          0      0          0   \n19               0         0               0          0      0          1   \n20               0         0               1          0      0          0   \n21               1         0               1          0      0          0   \n22               1         0               1          1      0          0   \n23               0         0               1          0      0          0   \n24               0         0               1          0      0          0   \n25               1         0               0          1      0          0   \n26               1         0               0          1      0          0   \n27               1         0               0          1      0          1   \n28               0         0               0          1      0          0   \n29               1         1               0          0      0          0   \n30               1         0               0          1      0          0   \n31               0         0               0          0      0          1   \n32               0         0               0          0      0          0   \n33               1         0               0          1      0          0   \n34               0         0               0          1      0          0   \n35               0         1               0          0      0          0   \n36               1         0               0          1      0          0   \n37               0         0               0          1      0          0   \n38               0         0               0          1      0          0   \n39               1         0               0          0      0          0   \n40               1         0               0          1      0          0   \n41               1         0               0          0      1          0   \n42               1         0               1          0      1          0   \n43               1         0               0          0      0          0   \n44               1         0               0          0      0          0   \n45               1         0               0          0      0          0   \n46               1         0               0          0      0          0   \n47               1         0               0          1      0          1   \n48               1         0               1          1      0          0   \n49               1         0               0          1      0          1   \n50               1         0               0          0      0          0   \n51               1         0               0          0      0          0   \n52               1         0               0          0      0          1   \n53               0         0               0          0      0          1   \n54               1         0               0          1      0          0   \n55              35         6              13         27      5         12   \n\n    failed.democracy  corruption  rights  high.prevalence  failed.governance  \\\n0                  0           0       0                1                  0   \n1                  0           0       0                1                  1   \n2                  0           0       1                0                  0   \n3                  1           0       0                0                  1   \n4                  0           0       0                0                  0   \n5                  1           0       0                0                  1   \n6                  0           1       0                0                  1   \n7                  0           0       0                0                  0   \n8                  0           1       0                0                  1   \n9                  1           1       0                0                  1   \n10                 1           1       0                0                  0   \n11                 1           0       1                1                  1   \n12                 0           0       0                0                  0   \n13                 1           0       1                0                  0   \n14                 1           0       0                1                  1   \n15                 0           0       1                0                  0   \n16                 1           1       0                1                  1   \n17                 0           0       0                0                  0   \n18                 1           0       0                0                  0   \n19                 0           0       0                0                  0   \n20                 0           0       0                0                  1   \n21                 1           1       0                0                  1   \n22                 0           0       1                0                  1   \n23                 1           0       0                1                  0   \n24                 1           1       0                0                  0   \n25                 1           0       1                0                  0   \n26                 0           0       1                0                  0   \n27                 0           0       0                0                  0   \n28                 0           0       0                0                  0   \n29                 0           0       0                0                  0   \n30                 1           0       0                0                  0   \n31                 0           0       0                0                  0   \n32                 0           0       0                0                  0   \n33                 1           0       0                0                  1   \n34                 1           0       0                1                  0   \n35                 1           1       0                1                  0   \n36                 1           0       0                0                  0   \n37                 1           1       0                0                  0   \n38                 0           1       0                0                  0   \n39                 1           0       0                0                  0   \n40                 1           0       0                0                  0   \n41                 1           0       0                1                  1   \n42                 1           0       0                1                  1   \n43                 0           0       0                0                  0   \n44                 0           0       0                0                  0   \n45                 1           0       0                0                  0   \n46                 0           0       0                0                  0   \n47                 0           0       1                0                  0   \n48                 1           0       0                0                  1   \n49                 1           0       1                0                  1   \n50                 0           1       0                0                  1   \n51                 0           0       0                0                  1   \n52                 0           0       0                0                  0   \n53                 1           0       0                0                  0   \n54                 1           0       0                0                  0   \n55                28          11       9               10                 19   \n\n    factional.interests  police.action  dialogue  \n0                     0              0         0  \n1                     0              0         0  \n2                     0              1         0  \n3                     1              1         0  \n4                     0              0         0  \n5                     0              1         0  \n6                     1              1         0  \n7                     0              1         0  \n8                     0              0         0  \n9                     0              1         0  \n10                    0              1         0  \n11                    0              1         1  \n12                    0              1         0  \n13                    0              1         0  \n14                    0              0         0  \n15                    0              0         0  \n16                    0              1         0  \n17                    0              0         0  \n18                    0              1         0  \n19                    0              0         0  \n20                    0              0         0  \n21                    1              0         0  \n22                    0              0         0  \n23                    0              0         0  \n24                    1              0         0  \n25                    0              0         0  \n26                    1              0         0  \n27                    0              0         0  \n28                    0              0         0  \n29                    0              0         0  \n30                    0              1         0  \n31                    0              0         0  \n32                    1              0         0  \n33                    0              0         0  \n34                    0              0         0  \n35                    0              0         0  \n36                    0              0         0  \n37                    0              0         0  \n38                    0              1         0  \n39                    0              1         0  \n40                    0              1         0  \n41                    0              1         0  \n42                    0              0         0  \n43                    0              0         0  \n44                    0              0         0  \n45               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       "html": "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Frames</th>\n      <th>contest</th>\n      <th>injustice</th>\n      <th>collective.action</th>\n      <th>inconvenience</th>\n      <th>economic</th>\n      <th>war..spectacle</th>\n      <th>sympathy</th>\n      <th>accountability</th>\n      <th>law.crime</th>\n      <th>moral</th>\n      <th>democracy</th>\n      <th>failed.democracy</th>\n      <th>corruption</th>\n      <th>rights</th>\n      <th>high.prevalence</th>\n      <th>failed.governance</th>\n      <th>factional.interests</th>\n      <th>police.action</th>\n      <th>dialogue</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0 </th>\n      <td> 23-Jan</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>1 </th>\n      <td> 25-Jan</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 1</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>2 </th>\n      <td> 13-Mar</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td> 1</td>\n      <td> 1</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>3 </th>\n      <td> 21-Mar</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 1</td>\n      <td>  1</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>4 </th>\n      <td> 26-Mar</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>5 </th>\n      <td>  3-Apr</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>6 </th>\n      <td> 14-Apr</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 1</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 1</td>\n      <td>  1</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>7 </th>\n      <td> 17-Apr</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>8 </th>\n      <td> 18-Apr</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>9 </th>\n      <td> 19-Apr</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>10</th>\n      <td> 20-Apr</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>11</th>\n      <td> 21-Apr</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 1</td>\n    </tr>\n    <tr>\n      <th>12</th>\n      <td> 29-Apr</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>13</th>\n      <td> 30-Apr</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>14</th>\n      <td>  7-May</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>15</th>\n      <td> 10-May</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>16</th>\n      <td> 14-May</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>17</th>\n      <td> 21-May</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>18</th>\n      <td> 22-May</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 1</td>\n      <td> 1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>19</th>\n      <td> 24-May</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>20</th>\n      <td> 28-May</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>21</th>\n      <td> 28-May</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>22</th>\n      <td>  4-Jun</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>23</th>\n      <td>  5-Jun</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>24</th>\n      <td> 13-Jun</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>25</th>\n      <td> 20-Jun</td>\n      <td>  1</td>\n      <td> 1</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>26</th>\n      <td> 27-Jun</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>27</th>\n      <td> 24-Jul</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>28</th>\n      <td> 25-Jul</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 1</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>29</th>\n      <td>  2-Aug</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td> 1</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>30</th>\n      <td>  9-Aug</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>31</th>\n      <td> 13-Aug</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>32</th>\n      <td> 28-Aug</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>33</th>\n      <td> 30-Aug</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>34</th>\n      <td> 13-Sep</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>35</th>\n      <td> 17-Sep</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>36</th>\n      <td> 28-Sep</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>37</th>\n      <td> 30-Sep</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>38</th>\n      <td>  3-Oct</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>39</th>\n      <td>  4-Oct</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>40</th>\n      <td> 16-Oct</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>41</th>\n      <td> 17-Oct</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>42</th>\n      <td> 24-Oct</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>43</th>\n      <td> 25-Oct</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>44</th>\n      <td> 28-Oct</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>45</th>\n      <td> 29-Oct</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>46</th>\n      <td> 29-Oct</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>47</th>\n      <td>  1-Nov</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>48</th>\n      <td>  1-Nov</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>49</th>\n      <td>  5-Nov</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 1</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 1</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>50</th>\n      <td>  7-Nov</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>51</th>\n      <td> 12-Nov</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>52</th>\n      <td> 19-Nov</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>53</th>\n      <td> 21-Nov</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>54</th>\n      <td> 29-Nov</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td> 0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  1</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td>  0</td>\n      <td> 0</td>\n      <td>  0</td>\n      <td> 0</td>\n    </tr>\n    <tr>\n      <th>55</th>\n      <td>       </td>\n      <td> 11</td>\n      <td> 2</td>\n      <td> 3</td>\n      <td> 8</td>\n      <td> 6</td>\n      <td> 35</td>\n      <td> 6</td>\n      <td> 13</td>\n      <td> 27</td>\n      <td> 5</td>\n      <td> 12</td>\n      <td> 28</td>\n      <td> 11</td>\n      <td> 9</td>\n      <td> 10</td>\n      <td> 19</td>\n      <td> 6</td>\n      <td> 18</td>\n      <td> 1</td>\n    </tr>\n  </tbody>\n</table>\n</div>",
       "output_type": "pyout",
       "metadata": {},
       "prompt_number": 7
      }
     ],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "%%R\nhc$merge",
     "prompt_number": 8,
     "outputs": [
      {
       "output_type": "display_data",
       "metadata": {},
       "text": "      [,1] [,2]\n [1,]   -6   -9\n [2,]  -12  -18\n [3,]   -8  -16\n [4,]   -3   -7\n [5,]   -4   -5\n [6,]    1    2\n [7,]   -1  -14\n [8,]  -10  -15\n [9,]  -13  -17\n[10,]  -11    7\n[11,]    3    8\n[12,]    5   10\n[13,]   -2  -19\n[14,]    4   12\n[15,]    9   11\n[16,]   13   14\n[17,]    6   15\n[18,]   16   17\n"
      }
     ],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "%%R \nrownames(transposed_data)",
     "prompt_number": 11,
     "outputs": [
      {
       "output_type": "display_data",
       "metadata": {},
       "text": " [1] \"contest\"             \"injustice\"           \"collective.action\"  \n [4] \"inconvenience\"       \"economic\"            \"war..spectacle\"     \n [7] \"sympathy\"            \"accountability\"      \"law.crime\"          \n[10] \"moral\"               \"democracy\"           \"failed.democracy\"   \n[13] \"corruption\"          \"rights\"              \"high.prevalence\"    \n[16] \"failed.governance\"   \"factional.interests\" \"police.action\"      \n[19] \"dialogue\"           \n"
      }
     ],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "%%R\nplot(hc$height)\nlines(hc$height)",
     "prompt_number": 14,
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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       "metadata": {}
      }
     ],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "%%R\nlibrary(ape)\n# dendogram using phylogenetic tree package\n\ntr <- as.phylo(hc)\ntwo_colours <- c(\"#756bb1\", \"#8856a7\")\nclus2 <- cutree(hc, 2)\nfour_colours = c(\"#CDB380\", \"#036564\", \"#EB6841\", \"#EDC951\")\nclus4 <- cutree(hc, 4)\ntr$tip.label <- lapply(tr$tip.label, function(x) { paste(x, sum(transposed_data[x,])) } )\nplot(tr, label.offset=0.01, tip.color=four_colours[clus4])",
     "prompt_number": 7,
     "outputs": [
      {
       "output_type": "display_data",
       "png": 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23t9sX/8e6ck69trjBDZohFA6MC++wLz4glRXMcLwFgdCCBkUXkGP\nsJ6enpdeemmkIkhSbv/+/SSJv8URSg1s0CPsmmuuAQCKOvaosHHBbrcP/DYEQmgsYYMeYVdccUWq\nSxhJLpcLM1AQShX81ytCCBkUNmiEEDIovMWBUJpQEnHfjy/L+M2/hpOW8lWJDQcDD9+S8ds3CbP1\nRPbD79oUffM5ubuNmjDRcfVdVG5x4rP3Ii/9duA6juvvY2affmL1pgls0AilieFnWR0HLTHrRHai\nhk45b/4FlVscfe3J6D+fcX73QVPlAve967QVYh/+XZswh7BBI5QmtCwrJREflA4ldbf5f3at5+cv\nUpn5gYe+AwThvudpOdjr/8X13l+8RFjscKzEKVAUNTHrGFlWevFXGt3QKdLuArsLABQuHPvk387v\nrj3BXwPpBO9BI5QmtCyr5HQowubsW6fhgNTTrj6Of/Jv8/xz1O58zMSpw4lZQ2ZZ6cZfaXRDp/oo\nSviFh22rriO92aP+To0feAWNDKq2tvbxxx8vKChIdSHGdfnll5eWlmpP1Swr0EuHIvrve8Q2/su8\n6HyharciCvHNb7vufEJdrhMfNTBxamBi1tGzrI4Wf6VVmBw6pb0U+/A1KiPXNAVvbhwBGzQyqMbG\nxp6enlWrVqW6EONyOp3aYy3LSjcdCgAI1qKEg2LdPvs1PxaqdvPbNpgqZlIZuermyfFRAxOn5GCv\nmph1jCyrA9uT468GFpwcOqWS2hviH7/h/umfR++9GqewQSODMpvNpaWlZ511VqoLGR+0LCvdyCsA\nIGyO+JZ32AXnEBQFoMQ2/NN+5R3a5kMnTh1OzGqpGSLLKla1Kzn+SjuEbuiUinvzeeuq6wjWPIpv\n0PiE96ARSgdalpVwaCeVV6KlQ6mR3gBAWp2JHRvNi1cCgNTRRLBmuniy7OtSs7rV+Cipt0Oo3h1a\n9wDBsGJzjZY4pSVmDcqyoooqYECWFZ1Xwu/9r9TeKHW3hp76SXzDPwdWODB0SurtkMOB/p1Xi211\n7Dz8TawDr6ARSgdalpVuOhQQBGFzMDkTSFeG7OtU+ITlrMthYJzVkIlThxOzhsyy0o2/Uh0tdAoA\nuDefN59xcd/dFXQkjLxCQ0lh5NWWLVvWr1//4IMPjv2hETIIvMWBEEIGhQ0aIYQMChs0QggZFP6R\nEA2lt7f3/fffD4VCY3/o1tZWAv9whE5u2KDRUM4999ycnByXyzX2h96zZ8/u3bvH/rgIGQc2aDQU\nr9e7fPnylBw6kUjU1NSk5NAIGQTeg0YIIYPCK2iE0CgTxd4frcp49N9AD6vhDD95ILHtI+7N52V/\nN11W6bjhPtLuAoDwMw/we/+rrkAVTHT/+I8nWH4KYYNGCI0usaOByioYZneGYScPiPX7o6+vc37n\n56TTG37mgfjG160rr1XinFC9x33P0+rm432+BzZohNKB1NE0xEh+IOlBI/yBogfO47ddvGbg3sSW\n2ujfnxAbD5HeXMf1P6ELK4K/v4upnM/v+FhsrWPnnWn/5veBIHTH8w8a/E/lFgYf/xHIcuTFR2yX\n35pcRnJQgJY8cIzx/x//y3rOFXRhBQDQ5TMJ1gIA/N7PTFPnUPmlkBbwHjRC6WDokfzJI/wBYOA8\n/iP2pSjhp3/KLjjXu/bvdMmU+KdvgaJILTX8ni32q+9y3/lE4rP3hUM7QXc8f9Lgf7qgjD3lTOvK\na+1X3alThm5QQP/gp6HH/zuuvsu8ZBXIsthUJXz5uTr+P7HzY6mnvfdHF/vuXh3/5N+j/r6PMryC\nRigdkFa7+kB3JH/yCH91Bn/fPP4jKSIvh/xAEECb7FfcDoosh3wyF3Ffe48639k0aZbU3Upm5SeP\n5xdC/sGD/0ERm6vYuUt1y9AJCgBFTR445vh/IClF4H0/vEgRErav30JlTwBJlAM9liUXMbMWJnZt\nirz4CDN7Celwj8lPYFRgg0YG5fP53n333Z6enlQXYly33nprZWVl3xOKPupIfr0R/gPn8Q9CmFjH\nDfdy778Sffkxdt6ZtituF5trTGWV2vR9RRRIb47ueH5+z5ZBg/9BlqXWOrqwXLeM5KAALXkgvvnt\nocf/AwBhYjJ++2Zi5yeRFx+xLLkIaNp915PqS+YF50b/8UclEQNs0AiNuLPOOquoqMhut6e6EOPK\nz88f+PRoI/m59X9JHuEvttRo8/gHERsO0mUz3Hculn2dwd/9QKzZK7bUEDaH+qocDogtNXTxJN3x\n/LGNbwwa/E86XKQrkzBbuTefSy4jOSgAREFNHpC6W4cY/8+t/4upbIZpyhygadOkWUDTQFGJHR9T\n2RPoCWUAIId8BEFpkTHjFDZoZFBms3nmzJmprmI8UUfye+5/XvZ1Sh1NdPFkbYQ/M2uxNsLfvHw1\nKIo2j1/2dYlNVczXFmsPIq88bqqYZT3/W2JHk5KIUTmF8U1vCQd3ivUHCIc78tdHLaevIu1uOq8k\ntuEf7NxlQNORlx8zFU+xXnSDOvifmbVI9nWG1j3guvVhsbmWyi0CRdEtI3l9vnavWrbu/rWTlbrb\nxNY6Kr9UScSif3/CfMZFQBDCgW3xT/7tuOZuhecjf/ut9aIbxvuYaWzQCKUJ3ZH8cJQR/toMfm1m\nv/bAuuLq6Gt/iG98ncotsl91J+nNFptrbJfeFFr3AEHR7GnnWc//NhxlPH/y4H+gKLFuP/f2i7pl\nJK/PvfuSmjwwxPh/ALCe963w8w/57/sm6c0xL1qhfsDDuuKq8HNr/fdfQ2blW8+5gj113Ke04MB+\nhNBQlDjnu+/KjEdeH+9Xo+MRfswOITQUsaWWzi/F7pwS2KARQkORWmqpgjT53se4g/egEUJDMS+9\nONUlnLzwChohhAwKGzRCCBkUNmiEEDIobNAIIWRQ2KARQsigsEEjlIaigdYdb/1MEnndV2VZ3PXu\nQ4osDVyoyNKud9YOWpjM17r3wCdP7373Vw07/ynL4ohVjPRgg0YoDZlY+8RTvkHRjO6rsWCHxZFD\nHBlZEo90szYvMWSOSaB9f2ft5pLZl05edEM00NrbtGMki0ZJ8HPQCKWJ1gMfkpQp3FNn9xYpikKZ\nzAAgS2LL/veCHQcZi8udN1USE/mTl3PBNsbqqv3ibxF/s8WZUz7/2/FwT81nLyiK3Lj739ml85v3\nvcMF2xiLq2T2aqvr8EC49qqPi2atsjiyAcCTN43nAik725MDXkEjlCZiofbell1ZpfOzyxbGQu1W\nVx4A1G//OyjKlNNvdOdPbzv4H6szDwCigdZ4qGtC5fnTlt4SC7ZzgVarK9dTUJk3eWnxrFW1217J\nKJxVedYdNndBT9M2bf+KLMUi3RZ7Vt/hwt2szZuSMz15YINGKE1wwY6iGRd48qbRJgsX7LA4c8O9\nDYlYoGjGBSazI6t4nqIoFlcuAHCBtsIZF7BWj4m104yNZmwAwAXbra48WRLFRASAIEm6cMYFBVPP\n1vZPkBRtsnQ3bhOFWFf958HOQ6x98AR9NLLwFgcayjXXXNPY2GgymVJdCNKxdu3aefPmqY+FeFhR\nZEdmmfqYIEgTa+uq3ezNr1TnHElCjKIZ1uKWxISYiNo9hQAgiQmBj7K2DEVRYqFOizOXpOiS2as7\nazc3713vKZhROGPFwCMWzbywed/bnXVbMovmUDRrceSM+UmfXLBBo6EwDPPss8+Wl5enuhB0DFyo\nw+rKJwii/3EeACQ4vzOr72cX6DhoceYCQXDBdosrV+3afX8tJIh4pMdkdlA0Gw202r1F7twpfCxY\n/d+/RHqbnFl9MYAiz9kzimec9QMA8LXstmeU0IwlNWd70sBbHAilg1iw76az+tjizAUAxuIKdh5S\nFCXqb24/tMHizAEALtCqrcn1bxULdpjtWaAozXvf7qzZJAnxeKRHknizPUM7RFf95/Xb/i4mouGe\n+raqjQPvfqBRgg0aoXTAhTqs7vzDj125AJBTvlgSE3s/eLSr/nOzM9vuLQIALtCm/qkQBjRosyMz\n6m9ur/4kb9IZ/o4Dez54tPXAB8UzVzEWl3aIrOJTFEXa99FjbYc+Kp1z2cDejUYJJqqgoaxZs+bu\nu+/GWxzjkaIoiiySlAkAZEnc9+Fvpy29hWZtqa4LfQV4BY1QeopHuvd+8Bs+FpRlsfXAB668Kdid\nxx38IyFC6cliz/JOmHng46cok9mVM3nCtPNSXRH6yrBBI5SmCKKwckVh5Ypjr4mMCm9xIISQQeEV\ndJpbvXq1z+ej6eP8QR88ePCWW24Z2ZIQQsOEDTrN2Wy2xx57rLCw8Pg2X7Nmjd1uH9mSEELDhLc4\nEELIoLBBI4SQQWGDRgghg8IGjRAabt7VcNav3/5aqLt2OAvRMWGDRggNK+/qmOv7276s3/kPf/t+\nqyt/6IVomPBTHAilCVkSWva/H+w8BAATpp7jKahUFLnt4H/87ftlScirWJJVcioAtB38SJHFWLgr\nGmi1uvLKTr1yYN5V0cwL26s2+lv3SmIit/z07IkLACAW6hwYggUA2vrFs1b1HV0WI75GRRIZq1sb\nQ6q7EA0fNmiE0kTt1pcZi3vK4jXh3obGvW+686c37HydIIjJC6/jY8FDW55zZlewVg8XbBfiobJ5\n3yQoev/GJ7lAq91b7CmoZG3e7NIFTXvf4mPBSQuvE+LhQ5ufdWSWWpw5tdteyatYMnHeN1q/fK+n\naVvRjJXa+trRSZIurFzR07QDCHLohWj4sEGjoXR3d19//fUsy6a6EKTj17/+9Zw5c9THoe46Phaq\nmH8VEIS3YIbIR2Oh9qi/efry2wiCNJmdFntWIupjrZ5YqL107uWM1Q0ANGPV8q48+dN5LuBv3Tdt\n6S0ms8NkdljdBQnOx9oyBoZgKYqsrZ9cEjdgLPXQC9FwYINGQ3njjTdSXQIalkhvgyd/upqTAgDZ\npQs6aze786YS/ZeukphgrW4hEZFl6XDeVSIyMO/K3/alLAn7Nz6pbqIoksnsTA7B0tZPLoMLtnny\npg5nIRoObNAIpQM+FrS6+65Swz31BEnyXIA2O9QlXLAdCIKxekLdtVZX3tHyrhJRX27F6XmTlgKA\nIkuiEDextuQQLMbiVNcfVIOiyPFQl+XIi2XdhWiY8MYQQumAtXn9rft4LhDpbazf/hpJmRirO9D2\nZSLq44LtDTv/mT95OUGQsWDHEHlXFkdWsLMqHu5ORH21W//WXf85ACSHYGnrD6ohHu4ymR20yXLM\nhWiY8Ara0DZt2rRjxw6z2Xzce6irq5Ok4X64FY1f2RMXcMG2/R8/aWIdE6afZ3Xlm22ZUX/rgU+e\nNtsz8irO8BRUAgAXavfkTlM34YLtjsxSGJB3lVuxJBpoPbT5TyRlyij8Wt7kpQCQN+mM5i/f6Wr4\nwmzPVEOwJEdMy8caWAMX0LsBrbcQDRNGXhnaD37wA5vNNnPmzOPewx/+8Ifnn3++tLR0BKtCCI0N\nvII2tIyMjFNPPfXss48/PvnNN9887lmjCKHUwnvQCCFkUNigEULIoLBBI4SQQWGDRgghg8IGjRBC\nBoUNGqF0pCh73ntYiIdTXcdXNmhydKDj4IGP/7jrnQcPbXo2HulJYWEpgQ0aoTQUj/YSFG3q/6r3\nuJA8OToaaG3c/a/CyhWVy7/P2rytBz5IbYVjDz8hi1CakIR48763Q901rC3DnTvV6s4HAEVRkuc7\ntx38SJb4WLiLC7RlT1zAWj0dNZ+KQrxs3jdt7gLdKdLJw6ZbD3xIUqZwT53dW5RbsaR57/pgVxVB\nUK6cyYUzVhAEmbzJrncenLb0VsbiVBTlwMdPFc9aZfP05c3rTo7urv8iq/gUe0YxALjzpnbWbE7F\n+5pKeAWNUFpQlOrPXjSx9mlLv5cxYVbrwQ9trgIAaN63ngu2TVp4Xfmp32o98H4s1AkAXKg96m8p\nnfP1ktmXtld9HI/0TF1ysyu7wteyBwAadr4uxMOTF15Xdso3mr98N8H5AaB268uKLE1ZvKZg6tmN\ne99UFCUWau9t2ZVVOj+7bGHboQ2SmJi65OayU6/0te5ORHp1NzGZXUIiDAD+tn2s1aN1Z+ifHO3M\nrhgYvFIw9azcSWcAgCJLPU07XLmTx/QtNQC8gkYoHQQ6DwIBBdPOAQBv4dea971jdefrzne2OHNi\nwY7SuZfTjMVkdjAWZ96kpQRJ0YyVos2xUEfyFOlE1D9o2DSAwgU7SmZf4swqB4Ds0vk0YyUpk8hz\nAOrYvMHzqQEUxuIU4xFFkdurPi6dc1nyWQyaHK3eoomFOpv3rWesnpyyRWP1dhoFNmiE0kGkt9GT\n1zcFCWRZUWSrOz/QfiB5vrOQiMqSYPdMgL55SRPVaMFYqCO79LRQd23yFOne5t2Dhk0L8bCiyI7M\nMgBQFMXf9mWgfT9B0SRJszYvSdHJ86kBgLG4+ETY17rX4syxuo49TloS4q0HPoz4Ggumnu3KmTTy\n75rhYYNOc7FYbNWqVRQ13DBQNF6QJLlu3bpZs2apT/lYkLVlqI/9HQdYq4c2WXTnO4e6ay2uXLV1\nDrxi5YLtFldusPNQ8hTp5GHTkshbXfkEQQBAR9VGPh6aOO8KE2vvbtjKhdpBbz613VvMmJ1CLOhv\n3192yhXJZzRocrSQiNR8/ldP3rSpZ9xMnKyJWdig09xrr72W6hLQWGAsLn/bPm/BDC7Y3nbgQ3tG\nCQBYHFld9Z978qYTJNW8b73VVZA/ZfnAphwLtmdMmAkAfCxIEJSJtTNWt69ljze/UhIT2hRpddi0\nO2cKHwvWb3+tfMG3I72N2k7CvfWunCkEQfrb9rVXf5xdOh/651MP3AQATBZX28EPndkVZkdW8ikM\nmhzduv99Z1a5t2CmEAsBAEmZaNY22m+j0WCDRigd5JQtqtv+933/ecyRVebKmWS2ZwKAp2Bm8nzn\nWKjDlT0JABRFjoW7LI4cGHApnVU8L3mKdPKw6Y6aTZ78SvXQmcXz2g591FmzyVNQ6cmb1lX3WU7Z\n4uRNAICxOCUhoV7RJxs4OVoSE/72/Yosddb2fXIju3TBhOnnjt4baEw4D9rQHnzwwRMcN4qQcXQ3\nbosFO4pmrkx1IePGSXpnByE0lhRZioe7u2q35E1akupaxhO8xYEQGnW9Lbs7aj4tnH6+yexMdS3j\nCTbo1Ni4caMoisdcrba2VvszPULjV2bRnMyiOamuYvzBBp0a995771lnnWW1WoderbW1NRKJjE1J\nCCGjwQadGrm5ubfffrvX6x16NVEUMzIyxqYkhJDR4B8JEULIoLBBI4SQQWGDRgghg8IGjRBCBoUN\nGiGEDAo/xYEQGjHRQOuhTc/OOu8eiIH9mgAAHShJREFUimaGWE2Ih5u/fCfcU89YXCVfu8TizBmz\nCscXvIJGCI0YE2ufeMo3hu7OkhCv2/aqJ2/a9GW3WhzZHdWfjFl54w5eQSOUJnTjB5ODAXUjB9sO\nfqTIYizcFQ20Wl15ZadeSZL00dYcIs+wu2ErZTLrHlers7txqztvqjoMr3DGSllMpOLdGh+wQaPh\nisfjra2tRH9GBkq5kpISkjz8j+Dmfev5WHDSwuuEePjQ5mcdmaUWZ07t1pcZi3vK4jXh3obGvW+6\n86c37HydIIjJC6/jY8FDW55zZlewVg8XbBfiobJ53yQoev/GJ7lAq91brL9mqF3iY2Wnfivqb67d\n+nJu+eKpS25u2vuWr2WPzV0QC7VnT1wIAMnH7fsvR1F6m3dlFs3Z99HjssjnT1meWTQ3VW+g8WGD\nRsN1991379y5MzdXJ6kIjT2SJO+9994ZM2aoT3XjB4VEdFAwYCzUnhw5yFo9sVB76dzLGasbAGjG\nSjM23XBC1uoZIs8QALhgh8WZqxtICEAAQDzSk4j6JCExZfGaUFd14+5/e/KmqxfdKBk2aDRchYWF\nZ5999sqVOMzXiEI9dcnxg8GOQ4OCATtrNydHDgqJiCxLdk+hukRIRFhbRlfdFr01h8ozFOJhgiBN\nrK1bL5BQleB8Vlde/pTlAOCdMKtl/3uSEMcGfTTYoBFKB7rxg931XwwKBuS5QHLkYKi71urKU/tp\nLNhhceQQBKG7Zrinfog8Q22JbiBhX51cgLX3jZcREhEAYCyu0X5zxi/8FAdC6cDiyAp2VsXD3Ymo\nr3br37rrP4f+YECeC0R6G+u3v0ZSJsbqDrR9mYj6uGC7FjkYC3YMbLXqY901B+UZau1YzTOMBdst\nzlzd42p1shZ3qKuGC7TxsWDjrtfzJi0F/KvG0eEVNELpQDd+MDkY0GzLTI4c5ELtntxp6n64YLsj\nsxSOEk44dJ4hF+rw5utnGGp1unImefMrqz97gWZt2aULskrmje37NM5gg0YoHRAEUVi5orByxcCF\nFM2WzfvmwCUkzUw85fJB206ce3hJyexLhlizdM5l/Ycjv3b+T9TH7twp7twpA/eTfNyBhRbOuKBw\nxgXDPbGTG97iQAghg8IGjRBCBoW3OAxNEIT29va6urpUFwIA0NvbK8tyqqtA6CSCDdrQXC7Xu+++\nu3nz5lQXAgCwZ8+eiRMnproKhE4i2KAN7Y477kh1CYc9+uijeXl5qa4CoZMI3oNGCCGDwgaNEEIG\nhQ0aIYQMChs0QmkiGmjd8dbPJJFPdSFHGJuqfC2793/81K63Hzz46TOxcNeoHmssYYNGKE0MJ81k\n7I1BVcGu6s7aLcUzV1We/QOzI6uncfvoHWuM4ac4RtFLL73EMPr/Xba1tSmKMsb1oPSmpZnoxqMc\nd7SKLPJ73n9k9or71Mmihzb/KadskStncnJ6i+5xtap0A1+GXarOtpqov4W1Z1icOQnOL8RC3vIZ\nY/3Wjxps0KPo4YcfvuWWW3Rf4nl+3H3pIx6P19TUbN+ePpcn493UqVOtVqv2VEsz0Y1HOZFoFZIy\nCfEwY3UHO6sAwJ07pWnvW8npLbrbalXpBr4Ms1TdbbUT9+ZXHvj0/3a9sxYACivPd2aVj/VPYtRg\ngx5FXq/3xhtv1H3pvffeoyhqjOs5QXl5eVu3bu3o6Eh1IajP1VdfPW3aNO2pmmYCAMnxKMkRJ8OP\nVgEA1urh42HG4mo7tKFw+nm66S0WZ47utmpVw98kuVSe8+tuq561kIjUbP1byexLXVnlvra97Yc2\nZhXPS5sRptig0XDdcMMNN9xwQ6qrQPq0NBPdeBRfy57jjlYBAMbqFuIhf8cBk9luzyjuadqRnN6i\nu61W1fA3SS5Vd1vtxLsbtrqyJ3nypgFAZtHc5n3viGKcNllG9d0eM9igEUoHXKhv6H7fdOZB8ShJ\nESfDj1YBAMbi5mPB3pZdpbMvhaOktwS7qpO31aoa/ibJpepuq514PNLtzCxTHyeiPhNrS5vuDPgp\nDoTSg5ZmohuPciLRKgDAWt3dDV9YnbnqIXTTW3S31aoa/ibJpepuqzHbMvxt+xJRXyLa27DrjbzJ\ny0fzbR5reAWNUDrQ0kx041FOJFoFABirR4iH8yYvU5/qprfobqtVNfxNkku1OPOSt9XklC1q3P2v\nA5/+H2N25pQvzpgwa1Te3xQh0vjDXsuWLduwYYMxC1i9evW6deu8Xu8Yl4QQGkfwFgdCCBkUNmiE\nEDIobNAIIWRQ2KARQsigsEEjhJBBYYNGCCGDwgaNEPrKFFna9c5aRZZkWdz17kOKLA1/WyEertv+\n993v/frAJ0/HQp2jV2QawAaNEPrK4pFu1uYlSKrvK9rkcCd/SUK8bturnrxp05fdanFkd1R/Mqp1\njnf4TUKE0kQs1Nm87x0u2MZYXCWzV1tdubveeXD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ZmRnsQmDUSI+L3XKs/IHJk6u0TS99\nsv3WcdlEVKXV5aemEtH+s2fm5+eLhcLN5eWv7vpsxe0zWZYtb2zknhCmK+M+PHJkaUmpxW5/+L13\n1927QCQQpMXG7qqp+eHN0442NKz9dOfS0lIiajB2tnR3O9zuap12w+4vfjbrTiIar1b/Yd9X95cU\nS4Sip8s+LNFoXr13Qb/yTun1aoUiNiKCYCiwBg0QClbNusvj9Y15cfU7X389J28S9+ivRqfNT00j\noh/fOv3tgwfHv7zmcH3dfUVFv/9qr49lK5oauQeJT02fMTYhoejVdU9+8P6aOXOXTZ5MRM/dNdti\ntyev+s+N+/dNTE6+acxYIpqXl2d1uTJXv7Bx377JmZnc48dlkyffmJU17bXXpm/YUJyuWTtv/sDy\nKpqaCtOwAD1k2LB/GF31hv1lZWW9vb1PPvnkNS8J4Ep4fT6nxyOTSIjI7nanP//ciXWvxvfpUQsj\nA3fQANDfGYMhZdUqbVeXw+1evW3bvQUFSOegwBo0APR3g1r94JTJeT9fq5DJ5ubl/WbxkmBXdJ1C\nQANAfwKG2bjswY3LHgx2Idc7LHEAAPAU7qCHUUtLy+LFi6/ijVqtdsaMGde8HgAYXRDQw+i77767\nujdu27bN6/Ve22IAYNRBQA+jmEB/8HolIiIient7r20xADDqYA0aAICnENAAIWLw5imDf3cgl8cj\nX/G0y+MZ6hv72llVlfeLn0ct/8nUX/3ytMFwFSNc5xDQACFi8OYpg393oNMGQ5YqXiISDfWNfuUN\nDY9v+t+NDyw799r6LFX86k+2DXUEwBo0QIjwN095eecOp9tT29JS3thQkJa2a8VKqVjs/27AlijH\nm3XPfPRxRVNjelzcBz98nIjufP23Xp/viU2blJGR3BttLtdzW7f8vaaGJdqw6P6lpaWDN1J548D+\nH91y6y3Z2US0sLBww54vgnJZRjXcQQOECH/zlMom7ZenTr710EMn1q2r1mrLGxuIqFqnu/DdAS1R\nWJZd+OabD0+9sXH9hhJNxp8OHcpPS1taWvrK3Hl/fuQRbliWZee/sdHl8f7zpf967b5FP/7gfa/P\nN3gjlV8uvO/luXOJyOXxvHf4m3l5+SN9RUY/3EEDhIK+zVOqddotP34qQ6kkorjISGVkFMuy1Trt\npNSUgC1RHB5Pm8UiYARhItHGZcu8rI+IKpu09xcX+4fdd/p0S3f3nmd/JmCYB0pLO3p6Gjo7N5cf\nrf3FOrVCoVYouEYquSkp/pKSFQoiqm1uXl72YaZStWrWrOBcmtEMAc1Her3+r3/969atW4NdCPDa\n+vXrCwsLuWN/8xSD2ez0eG7MyiIis93eajZnJyQYzGYhI0iMlp82GAa2RCGivz3xxK+/2LP8w789\nUDp547JlXp+vtqU5LzXVP+wbdWfvLy7mGqwwDPPMzJnvfvPN4I1UTDbbi9s/OVxf/6uF983JyxvJ\nKxMyENB8tGrVqlWrVgW7ChhNanRarr9JtVZbkJbGJWmNTpebkiIUCGp0uvy0VCIK2BKlvKHhpjFj\n568uaDIa7/jtbw7X1yfHxKjl8mhp+OH6eu412q4u/4bOB86cEQkFgzdSabWYZ//ud4uKiitfWetv\npgVDhTVogFDgb55SpdP6k7RSe2Gb/KqLO/f7W6IcOX9uw+4vLvSTLSvbsHt3t812trW11+HITkys\n0elykpJ8LOsfNksVv7n8aKPReKiubsk7b8skkvFq9d+P15wy6L9vb5//xsY39u/rW8/zW7fOnjjx\nwSlTWkymRqOxvadnhC9IaMAdNEAoqNFpl5SUElG1VuvvzVql1c4Yl0NENTrdoqJiIpqXl7ezqipz\n9QszcnL8LVFenjPn2c0fv3lg/7jEpD8/8mhabGx3UtKR8+f/+/O/1zY3c8M+M3NmpbYp95WXkxSK\n3y5ZUpSuyU9NK29smPbaa+FiyaM33dS3kYrFYd9WUeHyeDZ8ceGTG8/MnIk9S68COqoAhL6cNf+1\na+UzY+Pjg10IDA2WOABCXF1bW2dvb5ZKFexCYMiwxAEQyvaeOrmyrOyVufO4x4YwumCJAwCAp7DE\nAQDAUwhoAACeQkADAPAUAhoAgKcQ0AAAPIWABgDgKQQ0AABPIaABAHgKAQ0AwFMIaAAAnkJAAwDw\nFAIaAICnENAAADyFgAYA4CkENAAATyGgAQB4CgENAMBTCGgAAJ5CQAMA8BQCGgCApxDQAAA8hYAG\nAOApBDQAAE8hoAEAeAoBDQDAUwhoAACeQkADAPAUAhoAgKcQ0AAAPIWABgDgKQQ0AABPIaABAHgK\nAQ0AwFMIaAAAnkJAAwDwFAIaAICnENAAADyFgAYA4CkENAAATyGgAQB4CgENAMBTCGgAAJ5CQAMA\n8BQCGgCApxDQAAA8hYAGAOApBDQAAE8hoAEAeAoBDQDAUwhoAACeQkADAPAUAhoAgKcQ0AAAPIWA\nBgDgKQQ0AABPIaABAHgKAQ0AwFMIaAAAnkJAAwDwFAIaAICnENAAADyFgAYA4CkENAAATyGgAQB4\nCgENAMBTCGgAAJ5CQAMA8BQCGgCApxDQAAA8hYAGAOApBDQAAE8hoAEAeAoBDQDAUwhoAACeQkAD\nAPAUAhoAgKcQ0AAAPIWABgDgKQQ0AABP/R/3733OG/NSMwAAAABJRU5ErkJggg==\n",
       "metadata": {}
      }
     ],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "%%R\n# load package ape; remember to install it: install.packages('ape')\nlibrary(ape)\n# plot basic tree\nhcphylo = as.phylo(hc)\nprint(hcphylo$tip.label)\n#plot(as.phylo(hc), type=\"fan\", cex = 0.9, label.offset = 0.01)\n#library(ggdendro)\nggdendrogram(hc, size=4, rotate=TRUE, labels=TRUE)",
     "prompt_number": 3,
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": " [1] \"2\"  \"3\"  \"4\"  \"5\"  \"6\"  \"7\"  \"8\"  \"9\"  \"10\" \"11\" \"12\" \"13\" \"14\" \"15\" \"16\"\n[16] \"17\" \"18\" \"19\" \"20\" \"21\" \"22\" \"23\" \"24\" \"25\" \"26\" \"27\" \"28\" \"29\" \"30\" \"31\"\n[31] \"32\" \"33\" \"34\" \"35\" \"36\" \"37\" \"38\" \"39\" \"40\" \"41\" \"42\" \"43\" \"44\" \"45\" \"46\"\n[46] \"47\" \"48\" \"49\" \"50\" \"51\" \"52\" \"53\" \"54\" \"55\" \"56\" \"57\"\nError in withVisible({ : could not find function \"ggdendrogram\"\n"
      }
     ],
     "language": "python",
     "trusted": true,
     "collapsed": false
    },
    {
     "metadata": {},
     "cell_type": "code",
     "input": "",
     "outputs": [],
     "language": "python",
     "trusted": true,
     "collapsed": false
    }
   ],
   "metadata": {}
  }
 ],
 "metadata": {
  "name": "",
  "signature": "sha256:b2332f0288f317a09ddc936b5d6d8f9769390bbff8caa6cbe9d38062ed3c3462",
  "gist_id": "08dfd537f88fa636775b"
 },
 "nbformat": 3
}