diff --git a/DBSCAN.ipynb b/DBSCAN.ipynb
new file mode 100644
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--- /dev/null
+++ b/DBSCAN.ipynb
@@ -0,0 +1,1986 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## DBSCAN (Density-Based Spatial Clustering of Applications with Noise)\n",
+    "\n",
+    "\n",
+    "Find core samples of high density and expand clusters from them.\n",
+    "\n",
+    "The minimum number of samples in a neighborhood for a point to be considered as a core point was set at 10 and the maximum distance between two samples within the same neighborhood was set at 0.1.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 55,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Filename</th>\n",
+       "      <th>EIN</th>\n",
+       "      <th>Program_Exp</th>\n",
+       "      <th>Liabilities_To_Asset</th>\n",
+       "      <th>Working_Capital</th>\n",
+       "      <th>Surplus_Margin</th>\n",
+       "      <th>Total_Expenses</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>201523229349300327.xml</td>\n",
+       "      <td>510311790.0</td>\n",
+       "      <td>0.989619</td>\n",
+       "      <td>0.091802</td>\n",
+       "      <td>1.574677</td>\n",
+       "      <td>-0.078663</td>\n",
+       "      <td>4.643180e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>201543089349301829.xml</td>\n",
+       "      <td>261460932.0</td>\n",
+       "      <td>0.965378</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>3.910347</td>\n",
+       "      <td>-0.042674</td>\n",
+       "      <td>2.743900e+04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>201533179349306298.xml</td>\n",
+       "      <td>270609504.0</td>\n",
+       "      <td>0.942276</td>\n",
+       "      <td>0.049206</td>\n",
+       "      <td>0.655152</td>\n",
+       "      <td>0.088597</td>\n",
+       "      <td>3.848280e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>201533209349304768.xml</td>\n",
+       "      <td>521548962.0</td>\n",
+       "      <td>0.384526</td>\n",
+       "      <td>0.000814</td>\n",
+       "      <td>30.392756</td>\n",
+       "      <td>0.633126</td>\n",
+       "      <td>5.091200e+04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>201533179349307343.xml</td>\n",
+       "      <td>731653383.0</td>\n",
+       "      <td>0.620560</td>\n",
+       "      <td>0.029487</td>\n",
+       "      <td>1.083739</td>\n",
+       "      <td>0.105901</td>\n",
+       "      <td>2.812300e+04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>201533189349300608.xml</td>\n",
+       "      <td>237324566.0</td>\n",
+       "      <td>0.758902</td>\n",
+       "      <td>0.736982</td>\n",
+       "      <td>-0.176215</td>\n",
+       "      <td>-0.003914</td>\n",
+       "      <td>6.081260e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>201523069349301367.xml</td>\n",
+       "      <td>43259150.0</td>\n",
+       "      <td>0.736312</td>\n",
+       "      <td>0.181998</td>\n",
+       "      <td>0.378592</td>\n",
+       "      <td>0.057534</td>\n",
+       "      <td>2.129680e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>201533069349300963.xml</td>\n",
+       "      <td>621273871.0</td>\n",
+       "      <td>0.644822</td>\n",
+       "      <td>0.234247</td>\n",
+       "      <td>14.413163</td>\n",
+       "      <td>0.496122</td>\n",
+       "      <td>1.426413e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>201523099349300542.xml</td>\n",
+       "      <td>541897455.0</td>\n",
+       "      <td>0.845659</td>\n",
+       "      <td>0.138531</td>\n",
+       "      <td>0.414986</td>\n",
+       "      <td>-0.016769</td>\n",
+       "      <td>4.615120e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>201533099349301033.xml</td>\n",
+       "      <td>251869168.0</td>\n",
+       "      <td>0.762357</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>8.673984</td>\n",
+       "      <td>0.122244</td>\n",
+       "      <td>1.020440e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>201523169349304367.xml</td>\n",
+       "      <td>376046335.0</td>\n",
+       "      <td>0.745386</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>16.463976</td>\n",
+       "      <td>0.252579</td>\n",
+       "      <td>3.717000e+04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>201533099349301803.xml</td>\n",
+       "      <td>50454409.0</td>\n",
+       "      <td>0.915261</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.158768</td>\n",
+       "      <td>0.062649</td>\n",
+       "      <td>5.573470e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>201523069349300142.xml</td>\n",
+       "      <td>272364809.0</td>\n",
+       "      <td>0.920307</td>\n",
+       "      <td>0.003606</td>\n",
+       "      <td>0.240597</td>\n",
+       "      <td>-0.029663</td>\n",
+       "      <td>3.020610e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>201543039349301204.xml</td>\n",
+       "      <td>463812139.0</td>\n",
+       "      <td>0.664088</td>\n",
+       "      <td>0.648413</td>\n",
+       "      <td>0.045823</td>\n",
+       "      <td>0.088812</td>\n",
+       "      <td>1.399740e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>201523089349301462.xml</td>\n",
+       "      <td>561797737.0</td>\n",
+       "      <td>0.704623</td>\n",
+       "      <td>0.432671</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-0.050384</td>\n",
+       "      <td>2.147730e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>201533069349300788.xml</td>\n",
+       "      <td>590638867.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.360157</td>\n",
+       "      <td>-0.055883</td>\n",
+       "      <td>7.625220e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>201533079349300238.xml</td>\n",
+       "      <td>273314429.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.107584</td>\n",
+       "      <td>2.617100e+04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>201523209349314257.xml</td>\n",
+       "      <td>710801566.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-8.212337</td>\n",
+       "      <td>1.145333e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>201523209349311332.xml</td>\n",
+       "      <td>752204594.0</td>\n",
+       "      <td>0.896895</td>\n",
+       "      <td>0.069715</td>\n",
+       "      <td>0.535678</td>\n",
+       "      <td>-0.064100</td>\n",
+       "      <td>3.889691e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>201533179349302173.xml</td>\n",
+       "      <td>251374594.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.313630</td>\n",
+       "      <td>0.337537</td>\n",
+       "      <td>0.014809</td>\n",
+       "      <td>4.235120e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>201533179349307048.xml</td>\n",
+       "      <td>450448773.0</td>\n",
+       "      <td>0.991205</td>\n",
+       "      <td>0.051348</td>\n",
+       "      <td>0.414930</td>\n",
+       "      <td>0.161552</td>\n",
+       "      <td>1.858940e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>201533209349302633.xml</td>\n",
+       "      <td>363789851.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.232011</td>\n",
+       "      <td>0.521133</td>\n",
+       "      <td>-0.128997</td>\n",
+       "      <td>7.329143e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>201533099349301113.xml</td>\n",
+       "      <td>411712804.0</td>\n",
+       "      <td>0.477697</td>\n",
+       "      <td>0.009887</td>\n",
+       "      <td>0.751388</td>\n",
+       "      <td>-0.014507</td>\n",
+       "      <td>8.147200e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>201523039349300127.xml</td>\n",
+       "      <td>381557861.0</td>\n",
+       "      <td>0.832159</td>\n",
+       "      <td>0.063834</td>\n",
+       "      <td>2.988120</td>\n",
+       "      <td>0.170911</td>\n",
+       "      <td>1.369609e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>201523079349301652.xml</td>\n",
+       "      <td>273741627.0</td>\n",
+       "      <td>0.945120</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.863663</td>\n",
+       "      <td>0.094985</td>\n",
+       "      <td>1.234798e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>201533039349300813.xml</td>\n",
+       "      <td>411495321.0</td>\n",
+       "      <td>0.668161</td>\n",
+       "      <td>0.040796</td>\n",
+       "      <td>144.508488</td>\n",
+       "      <td>-0.139777</td>\n",
+       "      <td>1.108143e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>201533139349300208.xml</td>\n",
+       "      <td>60666277.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.644904</td>\n",
+       "      <td>0.654848</td>\n",
+       "      <td>-0.296143</td>\n",
+       "      <td>1.964943e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>201533069349301413.xml</td>\n",
+       "      <td>42616064.0</td>\n",
+       "      <td>0.951218</td>\n",
+       "      <td>0.338683</td>\n",
+       "      <td>0.178517</td>\n",
+       "      <td>0.041123</td>\n",
+       "      <td>3.325420e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>201533079349300003.xml</td>\n",
+       "      <td>581651220.0</td>\n",
+       "      <td>0.910347</td>\n",
+       "      <td>0.026832</td>\n",
+       "      <td>0.945357</td>\n",
+       "      <td>-0.020293</td>\n",
+       "      <td>3.247970e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>201523069349300957.xml</td>\n",
+       "      <td>341496171.0</td>\n",
+       "      <td>0.850617</td>\n",
+       "      <td>0.068838</td>\n",
+       "      <td>1.125712</td>\n",
+       "      <td>0.212899</td>\n",
+       "      <td>6.727750e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38884</th>\n",
+       "      <td>201533099349301698.xml</td>\n",
+       "      <td>912130056.0</td>\n",
+       "      <td>0.760828</td>\n",
+       "      <td>0.610684</td>\n",
+       "      <td>0.104169</td>\n",
+       "      <td>-2.163589</td>\n",
+       "      <td>7.340370e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38885</th>\n",
+       "      <td>201543119349300204.xml</td>\n",
+       "      <td>237198698.0</td>\n",
+       "      <td>0.819953</td>\n",
+       "      <td>0.549109</td>\n",
+       "      <td>0.248479</td>\n",
+       "      <td>0.060347</td>\n",
+       "      <td>3.518240e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38886</th>\n",
+       "      <td>201543139349302814.xml</td>\n",
+       "      <td>462250934.0</td>\n",
+       "      <td>0.131636</td>\n",
+       "      <td>0.960863</td>\n",
+       "      <td>0.001425</td>\n",
+       "      <td>0.005347</td>\n",
+       "      <td>2.279017e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38887</th>\n",
+       "      <td>201533219349301213.xml</td>\n",
+       "      <td>231416559.0</td>\n",
+       "      <td>0.598760</td>\n",
+       "      <td>0.802416</td>\n",
+       "      <td>0.248929</td>\n",
+       "      <td>-0.207427</td>\n",
+       "      <td>8.819110e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38888</th>\n",
+       "      <td>201543179349306629.xml</td>\n",
+       "      <td>223128187.0</td>\n",
+       "      <td>0.621104</td>\n",
+       "      <td>0.040543</td>\n",
+       "      <td>1.574808</td>\n",
+       "      <td>-0.133304</td>\n",
+       "      <td>6.866690e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38889</th>\n",
+       "      <td>201533209349316263.xml</td>\n",
+       "      <td>731585237.0</td>\n",
+       "      <td>0.849584</td>\n",
+       "      <td>0.133037</td>\n",
+       "      <td>0.508528</td>\n",
+       "      <td>-0.054146</td>\n",
+       "      <td>2.441360e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38890</th>\n",
+       "      <td>201543079349301044.xml</td>\n",
+       "      <td>581736427.0</td>\n",
+       "      <td>0.887224</td>\n",
+       "      <td>1.390273</td>\n",
+       "      <td>-1.014415</td>\n",
+       "      <td>0.052991</td>\n",
+       "      <td>1.413780e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38891</th>\n",
+       "      <td>201533139349300123.xml</td>\n",
+       "      <td>470841633.0</td>\n",
+       "      <td>0.730878</td>\n",
+       "      <td>0.237917</td>\n",
+       "      <td>6.796036</td>\n",
+       "      <td>0.615454</td>\n",
+       "      <td>8.076930e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38892</th>\n",
+       "      <td>201543179349305429.xml</td>\n",
+       "      <td>943345498.0</td>\n",
+       "      <td>0.570344</td>\n",
+       "      <td>0.031022</td>\n",
+       "      <td>3.196737</td>\n",
+       "      <td>0.146015</td>\n",
+       "      <td>5.820010e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38893</th>\n",
+       "      <td>201543179349308719.xml</td>\n",
+       "      <td>264795329.0</td>\n",
+       "      <td>0.984882</td>\n",
+       "      <td>1.067790</td>\n",
+       "      <td>-0.013730</td>\n",
+       "      <td>-0.013601</td>\n",
+       "      <td>6.089029e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38894</th>\n",
+       "      <td>201533179349302373.xml</td>\n",
+       "      <td>262709818.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>3.369300e+04</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38895</th>\n",
+       "      <td>201620149349300127.xml</td>\n",
+       "      <td>431129770.0</td>\n",
+       "      <td>0.868905</td>\n",
+       "      <td>0.203344</td>\n",
+       "      <td>0.818979</td>\n",
+       "      <td>0.041341</td>\n",
+       "      <td>1.113451e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38896</th>\n",
+       "      <td>201630129349300803.xml</td>\n",
+       "      <td>592240502.0</td>\n",
+       "      <td>0.858238</td>\n",
+       "      <td>0.090567</td>\n",
+       "      <td>1.552281</td>\n",
+       "      <td>0.165716</td>\n",
+       "      <td>6.398019e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38897</th>\n",
+       "      <td>201620119349300422.xml</td>\n",
+       "      <td>61462359.0</td>\n",
+       "      <td>0.843057</td>\n",
+       "      <td>0.087344</td>\n",
+       "      <td>0.250055</td>\n",
+       "      <td>-0.086286</td>\n",
+       "      <td>6.898120e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38898</th>\n",
+       "      <td>201630129349300723.xml</td>\n",
+       "      <td>630652760.0</td>\n",
+       "      <td>0.992892</td>\n",
+       "      <td>0.301988</td>\n",
+       "      <td>0.133494</td>\n",
+       "      <td>0.000101</td>\n",
+       "      <td>3.599537e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38899</th>\n",
+       "      <td>201610139349300811.xml</td>\n",
+       "      <td>341472960.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.762930e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38900</th>\n",
+       "      <td>201600199349300500.xml</td>\n",
+       "      <td>800182020.0</td>\n",
+       "      <td>0.594838</td>\n",
+       "      <td>0.141928</td>\n",
+       "      <td>0.037224</td>\n",
+       "      <td>-0.104980</td>\n",
+       "      <td>1.481881e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38901</th>\n",
+       "      <td>201600399349300955.xml</td>\n",
+       "      <td>462754433.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.235223</td>\n",
+       "      <td>0.095712</td>\n",
+       "      <td>4.060960e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38902</th>\n",
+       "      <td>201600369349301750.xml</td>\n",
+       "      <td>742744885.0</td>\n",
+       "      <td>0.975219</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.452366</td>\n",
+       "      <td>-0.045373</td>\n",
+       "      <td>2.315450e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38903</th>\n",
+       "      <td>201610399349300226.xml</td>\n",
+       "      <td>471127421.0</td>\n",
+       "      <td>0.138038</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.097551</td>\n",
+       "      <td>2.163548</td>\n",
+       "      <td>1.495530e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38904</th>\n",
+       "      <td>201620359349300612.xml</td>\n",
+       "      <td>742244155.0</td>\n",
+       "      <td>0.901125</td>\n",
+       "      <td>0.559978</td>\n",
+       "      <td>0.068062</td>\n",
+       "      <td>0.008963</td>\n",
+       "      <td>2.399374e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38905</th>\n",
+       "      <td>201610429349302361.xml</td>\n",
+       "      <td>940764760.0</td>\n",
+       "      <td>0.992275</td>\n",
+       "      <td>0.788509</td>\n",
+       "      <td>0.034823</td>\n",
+       "      <td>0.014275</td>\n",
+       "      <td>5.107870e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38906</th>\n",
+       "      <td>201610369349301226.xml</td>\n",
+       "      <td>840588263.0</td>\n",
+       "      <td>0.988925</td>\n",
+       "      <td>0.080860</td>\n",
+       "      <td>0.313222</td>\n",
+       "      <td>0.166371</td>\n",
+       "      <td>2.257280e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38907</th>\n",
+       "      <td>201640359349300129.xml</td>\n",
+       "      <td>20650275.0</td>\n",
+       "      <td>0.681210</td>\n",
+       "      <td>0.498341</td>\n",
+       "      <td>0.213852</td>\n",
+       "      <td>0.038597</td>\n",
+       "      <td>3.040090e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38908</th>\n",
+       "      <td>201600429349301735.xml</td>\n",
+       "      <td>942418861.0</td>\n",
+       "      <td>0.987789</td>\n",
+       "      <td>0.015595</td>\n",
+       "      <td>3.429593</td>\n",
+       "      <td>0.526883</td>\n",
+       "      <td>2.165501e+06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38909</th>\n",
+       "      <td>201600359349302005.xml</td>\n",
+       "      <td>223201871.0</td>\n",
+       "      <td>0.907986</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>3.052342</td>\n",
+       "      <td>0.281392</td>\n",
+       "      <td>2.319760e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38910</th>\n",
+       "      <td>201600419349301130.xml</td>\n",
+       "      <td>650599763.0</td>\n",
+       "      <td>0.955581</td>\n",
+       "      <td>4.173882</td>\n",
+       "      <td>-0.414036</td>\n",
+       "      <td>0.058141</td>\n",
+       "      <td>1.489220e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38911</th>\n",
+       "      <td>201640359349301614.xml</td>\n",
+       "      <td>470461460.0</td>\n",
+       "      <td>0.465235</td>\n",
+       "      <td>0.014051</td>\n",
+       "      <td>1.666884</td>\n",
+       "      <td>0.182197</td>\n",
+       "      <td>2.236610e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38912</th>\n",
+       "      <td>201600429349302135.xml</td>\n",
+       "      <td>990208381.0</td>\n",
+       "      <td>0.852344</td>\n",
+       "      <td>0.047928</td>\n",
+       "      <td>0.815871</td>\n",
+       "      <td>0.229352</td>\n",
+       "      <td>1.879170e+05</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38913</th>\n",
+       "      <td>201610229349300741.xml</td>\n",
+       "      <td>510216586.0</td>\n",
+       "      <td>0.521938</td>\n",
+       "      <td>0.746625</td>\n",
+       "      <td>0.529489</td>\n",
+       "      <td>0.026507</td>\n",
+       "      <td>4.834544e+09</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>38657 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     Filename          EIN  Program_Exp  Liabilities_To_Asset  \\\n",
+       "0      201523229349300327.xml  510311790.0     0.989619              0.091802   \n",
+       "1      201543089349301829.xml  261460932.0     0.965378              0.000000   \n",
+       "2      201533179349306298.xml  270609504.0     0.942276              0.049206   \n",
+       "3      201533209349304768.xml  521548962.0     0.384526              0.000814   \n",
+       "4      201533179349307343.xml  731653383.0     0.620560              0.029487   \n",
+       "5      201533189349300608.xml  237324566.0     0.758902              0.736982   \n",
+       "6      201523069349301367.xml   43259150.0     0.736312              0.181998   \n",
+       "7      201533069349300963.xml  621273871.0     0.644822              0.234247   \n",
+       "8      201523099349300542.xml  541897455.0     0.845659              0.138531   \n",
+       "9      201533099349301033.xml  251869168.0     0.762357              0.000000   \n",
+       "10     201523169349304367.xml  376046335.0     0.745386              0.000000   \n",
+       "11     201533099349301803.xml   50454409.0     0.915261              0.000000   \n",
+       "12     201523069349300142.xml  272364809.0     0.920307              0.003606   \n",
+       "13     201543039349301204.xml  463812139.0     0.664088              0.648413   \n",
+       "14     201523089349301462.xml  561797737.0     0.704623              0.432671   \n",
+       "15     201533069349300788.xml  590638867.0     0.000000              0.000000   \n",
+       "16     201533079349300238.xml  273314429.0     1.000000              0.000000   \n",
+       "17     201523209349314257.xml  710801566.0     1.000000              0.000000   \n",
+       "18     201523209349311332.xml  752204594.0     0.896895              0.069715   \n",
+       "19     201533179349302173.xml  251374594.0     0.000000              0.313630   \n",
+       "20     201533179349307048.xml  450448773.0     0.991205              0.051348   \n",
+       "21     201533209349302633.xml  363789851.0     0.000000              0.232011   \n",
+       "22     201533099349301113.xml  411712804.0     0.477697              0.009887   \n",
+       "23     201523039349300127.xml  381557861.0     0.832159              0.063834   \n",
+       "24     201523079349301652.xml  273741627.0     0.945120              0.000000   \n",
+       "25     201533039349300813.xml  411495321.0     0.668161              0.040796   \n",
+       "26     201533139349300208.xml   60666277.0     0.000000              0.644904   \n",
+       "27     201533069349301413.xml   42616064.0     0.951218              0.338683   \n",
+       "28     201533079349300003.xml  581651220.0     0.910347              0.026832   \n",
+       "29     201523069349300957.xml  341496171.0     0.850617              0.068838   \n",
+       "...                       ...          ...          ...                   ...   \n",
+       "38884  201533099349301698.xml  912130056.0     0.760828              0.610684   \n",
+       "38885  201543119349300204.xml  237198698.0     0.819953              0.549109   \n",
+       "38886  201543139349302814.xml  462250934.0     0.131636              0.960863   \n",
+       "38887  201533219349301213.xml  231416559.0     0.598760              0.802416   \n",
+       "38888  201543179349306629.xml  223128187.0     0.621104              0.040543   \n",
+       "38889  201533209349316263.xml  731585237.0     0.849584              0.133037   \n",
+       "38890  201543079349301044.xml  581736427.0     0.887224              1.390273   \n",
+       "38891  201533139349300123.xml  470841633.0     0.730878              0.237917   \n",
+       "38892  201543179349305429.xml  943345498.0     0.570344              0.031022   \n",
+       "38893  201543179349308719.xml  264795329.0     0.984882              1.067790   \n",
+       "38894  201533179349302373.xml  262709818.0     1.000000              1.000000   \n",
+       "38895  201620149349300127.xml  431129770.0     0.868905              0.203344   \n",
+       "38896  201630129349300803.xml  592240502.0     0.858238              0.090567   \n",
+       "38897  201620119349300422.xml   61462359.0     0.843057              0.087344   \n",
+       "38898  201630129349300723.xml  630652760.0     0.992892              0.301988   \n",
+       "38899  201610139349300811.xml  341472960.0     1.000000              1.000000   \n",
+       "38900  201600199349300500.xml  800182020.0     0.594838              0.141928   \n",
+       "38901  201600399349300955.xml  462754433.0     0.000000              0.000000   \n",
+       "38902  201600369349301750.xml  742744885.0     0.975219              0.000000   \n",
+       "38903  201610399349300226.xml  471127421.0     0.138038              0.000000   \n",
+       "38904  201620359349300612.xml  742244155.0     0.901125              0.559978   \n",
+       "38905  201610429349302361.xml  940764760.0     0.992275              0.788509   \n",
+       "38906  201610369349301226.xml  840588263.0     0.988925              0.080860   \n",
+       "38907  201640359349300129.xml   20650275.0     0.681210              0.498341   \n",
+       "38908  201600429349301735.xml  942418861.0     0.987789              0.015595   \n",
+       "38909  201600359349302005.xml  223201871.0     0.907986              0.000000   \n",
+       "38910  201600419349301130.xml  650599763.0     0.955581              4.173882   \n",
+       "38911  201640359349301614.xml  470461460.0     0.465235              0.014051   \n",
+       "38912  201600429349302135.xml  990208381.0     0.852344              0.047928   \n",
+       "38913  201610229349300741.xml  510216586.0     0.521938              0.746625   \n",
+       "\n",
+       "       Working_Capital  Surplus_Margin  Total_Expenses  \n",
+       "0             1.574677       -0.078663    4.643180e+05  \n",
+       "1             3.910347       -0.042674    2.743900e+04  \n",
+       "2             0.655152        0.088597    3.848280e+05  \n",
+       "3            30.392756        0.633126    5.091200e+04  \n",
+       "4             1.083739        0.105901    2.812300e+04  \n",
+       "5            -0.176215       -0.003914    6.081260e+05  \n",
+       "6             0.378592        0.057534    2.129680e+05  \n",
+       "7            14.413163        0.496122    1.426413e+06  \n",
+       "8             0.414986       -0.016769    4.615120e+05  \n",
+       "9             8.673984        0.122244    1.020440e+05  \n",
+       "10           16.463976        0.252579    3.717000e+04  \n",
+       "11            1.158768        0.062649    5.573470e+05  \n",
+       "12            0.240597       -0.029663    3.020610e+05  \n",
+       "13            0.045823        0.088812    1.399740e+05  \n",
+       "14            0.000000       -0.050384    2.147730e+05  \n",
+       "15            0.360157       -0.055883    7.625220e+05  \n",
+       "16            0.000000        0.107584    2.617100e+04  \n",
+       "17            0.000000       -8.212337    1.145333e+06  \n",
+       "18            0.535678       -0.064100    3.889691e+06  \n",
+       "19            0.337537        0.014809    4.235120e+05  \n",
+       "20            0.414930        0.161552    1.858940e+05  \n",
+       "21            0.521133       -0.128997    7.329143e+06  \n",
+       "22            0.751388       -0.014507    8.147200e+05  \n",
+       "23            2.988120        0.170911    1.369609e+06  \n",
+       "24            0.863663        0.094985    1.234798e+06  \n",
+       "25          144.508488       -0.139777    1.108143e+06  \n",
+       "26            0.654848       -0.296143    1.964943e+07  \n",
+       "27            0.178517        0.041123    3.325420e+07  \n",
+       "28            0.945357       -0.020293    3.247970e+05  \n",
+       "29            1.125712        0.212899    6.727750e+05  \n",
+       "...                ...             ...             ...  \n",
+       "38884         0.104169       -2.163589    7.340370e+05  \n",
+       "38885         0.248479        0.060347    3.518240e+05  \n",
+       "38886         0.001425        0.005347    2.279017e+06  \n",
+       "38887         0.248929       -0.207427    8.819110e+05  \n",
+       "38888         1.574808       -0.133304    6.866690e+05  \n",
+       "38889         0.508528       -0.054146    2.441360e+05  \n",
+       "38890        -1.014415        0.052991    1.413780e+05  \n",
+       "38891         6.796036        0.615454    8.076930e+05  \n",
+       "38892         3.196737        0.146015    5.820010e+05  \n",
+       "38893        -0.013730       -0.013601    6.089029e+06  \n",
+       "38894         0.000000        0.000000    3.369300e+04  \n",
+       "38895         0.818979        0.041341    1.113451e+07  \n",
+       "38896         1.552281        0.165716    6.398019e+06  \n",
+       "38897         0.250055       -0.086286    6.898120e+05  \n",
+       "38898         0.133494        0.000101    3.599537e+06  \n",
+       "38899         0.000000        0.000000    2.762930e+05  \n",
+       "38900         0.037224       -0.104980    1.481881e+06  \n",
+       "38901         0.235223        0.095712    4.060960e+05  \n",
+       "38902         0.452366       -0.045373    2.315450e+05  \n",
+       "38903         2.097551        2.163548    1.495530e+05  \n",
+       "38904         0.068062        0.008963    2.399374e+07  \n",
+       "38905         0.034823        0.014275    5.107870e+05  \n",
+       "38906         0.313222        0.166371    2.257280e+05  \n",
+       "38907         0.213852        0.038597    3.040090e+05  \n",
+       "38908         3.429593        0.526883    2.165501e+06  \n",
+       "38909         3.052342        0.281392    2.319760e+05  \n",
+       "38910        -0.414036        0.058141    1.489220e+05  \n",
+       "38911         1.666884        0.182197    2.236610e+05  \n",
+       "38912         0.815871        0.229352    1.879170e+05  \n",
+       "38913         0.529489        0.026507    4.834544e+09  \n",
+       "\n",
+       "[38657 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 55,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "\n",
+    "df1=pd.read_csv('team_out_1.csv')\n",
+    "df2=pd.read_csv('team_out_a2.csv')\n",
+    "\n",
+    "df=df1.append(df2)\n",
+    "df.dropna(inplace=True)\n",
+    "df.reset_index(inplace=True,drop=True)\n",
+    "df=df[df.Total_Expenses>0]\n",
+    "df=df[df.Program_Exp<=1]\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": false
+   },
+   "source": [
+    "small_df=df[df.Total_Expenses<1000000]\n",
+    "\n",
+    "med_df=df[df.Total_Expenses>1000000]\n",
+    "med_df=med_df[df.Total_Expenses<10000000]\n",
+    "\n",
+    "large_df=df[df.Total_Expenses<50000000]\n",
+    "large_df=large_df[df.Total_Expenses>10000000]\n",
+    "\n",
+    "national_df=df[df.Total_Expenses>50000000]\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 56,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "#Getting a list of positive businesses\n",
+    "\n",
+    "temp=df[df.Program_Exp>.9] \n",
+    "temp=temp[temp.Liabilities_To_Asset<.2]\n",
+    "lst_temp=list(temp['EIN'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 58,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
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+       "    <tr>\n",
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+       "      <td>201610229349300741.xml</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>38657 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             Program_Exp  Liabilities_To_Asset  Working_Capital  \\\n",
+       "EIN                                                               \n",
+       "510311790.0     0.989619              0.013484         0.463650   \n",
+       "261460932.0     0.965378              0.013479         0.463657   \n",
+       "270609504.0     0.942276              0.013482         0.463647   \n",
+       "521548962.0     0.384526              0.013479         0.463740   \n",
+       "731653383.0     0.620560              0.013480         0.463649   \n",
+       "237324566.0     0.758902              0.013522         0.463645   \n",
+       "43259150.0      0.736312              0.013489         0.463646   \n",
+       "621273871.0     0.644822              0.013492         0.463690   \n",
+       "541897455.0     0.845659              0.013487         0.463646   \n",
+       "251869168.0     0.762357              0.013479         0.463672   \n",
+       "376046335.0     0.745386              0.013479         0.463696   \n",
+       "50454409.0      0.915261              0.013479         0.463649   \n",
+       "272364809.0     0.920307              0.013479         0.463646   \n",
+       "463812139.0     0.664088              0.013517         0.463645   \n",
+       "561797737.0     0.704623              0.013504         0.463645   \n",
+       "590638867.0     0.000000              0.013479         0.463646   \n",
+       "273314429.0     1.000000              0.013479         0.463645   \n",
+       "710801566.0     1.000000              0.013479         0.463645   \n",
+       "752204594.0     0.896895              0.013483         0.463647   \n",
+       "251374594.0     0.000000              0.013497         0.463646   \n",
+       "450448773.0     0.991205              0.013482         0.463646   \n",
+       "363789851.0     0.000000              0.013492         0.463647   \n",
+       "411712804.0     0.477697              0.013479         0.463648   \n",
+       "381557861.0     0.832159              0.013482         0.463654   \n",
+       "273741627.0     0.945120              0.013479         0.463648   \n",
+       "411495321.0     0.668161              0.013481         0.464095   \n",
+       "60666277.0      0.000000              0.013516         0.463647   \n",
+       "42616064.0      0.951218              0.013499         0.463646   \n",
+       "581651220.0     0.910347              0.013480         0.463648   \n",
+       "341496171.0     0.850617              0.013483         0.463649   \n",
+       "...                  ...                   ...              ...   \n",
+       "912130056.0     0.760828              0.013514         0.463645   \n",
+       "237198698.0     0.819953              0.013511         0.463646   \n",
+       "462250934.0     0.131636              0.013535         0.463645   \n",
+       "231416559.0     0.598760              0.013526         0.463646   \n",
+       "223128187.0     0.621104              0.013481         0.463650   \n",
+       "731585237.0     0.849584              0.013486         0.463647   \n",
+       "581736427.0     0.887224              0.013560         0.463642   \n",
+       "470841633.0     0.730878              0.013493         0.463666   \n",
+       "943345498.0     0.570344              0.013481         0.463655   \n",
+       "264795329.0     0.984882              0.013541         0.463645   \n",
+       "262709818.0     1.000000              0.013537         0.463645   \n",
+       "431129770.0     0.868905              0.013491         0.463648   \n",
+       "592240502.0     0.858238              0.013484         0.463650   \n",
+       "61462359.0      0.843057              0.013484         0.463646   \n",
+       "630652760.0     0.992892              0.013496         0.463646   \n",
+       "341472960.0     1.000000              0.013537         0.463645   \n",
+       "800182020.0     0.594838              0.013487         0.463645   \n",
+       "462754433.0     0.000000              0.013479         0.463646   \n",
+       "742744885.0     0.975219              0.013479         0.463647   \n",
+       "471127421.0     0.138038              0.013479         0.463652   \n",
+       "742244155.0     0.901125              0.013511         0.463645   \n",
+       "940764760.0     0.992275              0.013525         0.463645   \n",
+       "840588263.0     0.988925              0.013483         0.463646   \n",
+       "20650275.0      0.681210              0.013508         0.463646   \n",
+       "942418861.0     0.987789              0.013480         0.463656   \n",
+       "223201871.0     0.907986              0.013479         0.463655   \n",
+       "650599763.0     0.955581              0.013723         0.463644   \n",
+       "470461460.0     0.465235              0.013480         0.463650   \n",
+       "990208381.0     0.852344              0.013482         0.463648   \n",
+       "510216586.0     0.521938              0.013522         0.463647   \n",
+       "\n",
+       "             Surplus_Margin  Total_Expenses                Filename  \n",
+       "EIN                                                                  \n",
+       "510311790.0        0.957231        0.000068  201523229349300327.xml  \n",
+       "261460932.0        0.957231        0.000004  201543089349301829.xml  \n",
+       "270609504.0        0.957232        0.000056  201533179349306298.xml  \n",
+       "521548962.0        0.957234        0.000007  201533209349304768.xml  \n",
+       "731653383.0        0.957232        0.000004  201533179349307343.xml  \n",
+       "237324566.0        0.957231        0.000089  201533189349300608.xml  \n",
+       "43259150.0         0.957231        0.000031  201523069349301367.xml  \n",
+       "621273871.0        0.957233        0.000209  201533069349300963.xml  \n",
+       "541897455.0        0.957231        0.000068  201523099349300542.xml  \n",
+       "251869168.0        0.957232        0.000015  201533099349301033.xml  \n",
+       "376046335.0        0.957232        0.000005  201523169349304367.xml  \n",
+       "50454409.0         0.957231        0.000082  201533099349301803.xml  \n",
+       "272364809.0        0.957231        0.000044  201523069349300142.xml  \n",
+       "463812139.0        0.957232        0.000020  201543039349301204.xml  \n",
+       "561797737.0        0.957231        0.000031  201523089349301462.xml  \n",
+       "590638867.0        0.957231        0.000112  201533069349300788.xml  \n",
+       "273314429.0        0.957232        0.000004  201533079349300238.xml  \n",
+       "710801566.0        0.957200        0.000168  201523209349314257.xml  \n",
+       "752204594.0        0.957231        0.000569  201523209349311332.xml  \n",
+       "251374594.0        0.957231        0.000062  201533179349302173.xml  \n",
+       "450448773.0        0.957232        0.000027  201533179349307048.xml  \n",
+       "363789851.0        0.957231        0.001072  201533209349302633.xml  \n",
+       "411712804.0        0.957231        0.000119  201533099349301113.xml  \n",
+       "381557861.0        0.957232        0.000200  201523039349300127.xml  \n",
+       "273741627.0        0.957232        0.000181  201523079349301652.xml  \n",
+       "411495321.0        0.957231        0.000162  201533039349300813.xml  \n",
+       "60666277.0         0.957230        0.002874  201533139349300208.xml  \n",
+       "42616064.0         0.957231        0.004864  201533069349301413.xml  \n",
+       "581651220.0        0.957231        0.000048  201533079349300003.xml  \n",
+       "341496171.0        0.957232        0.000098  201523069349300957.xml  \n",
+       "...                     ...             ...                     ...  \n",
+       "912130056.0        0.957223        0.000107  201533099349301698.xml  \n",
+       "237198698.0        0.957231        0.000051  201543119349300204.xml  \n",
+       "462250934.0        0.957231        0.000333  201543139349302814.xml  \n",
+       "231416559.0        0.957230        0.000129  201533219349301213.xml  \n",
+       "223128187.0        0.957231        0.000100  201543179349306629.xml  \n",
+       "731585237.0        0.957231        0.000036  201533209349316263.xml  \n",
+       "581736427.0        0.957231        0.000021  201543079349301044.xml  \n",
+       "470841633.0        0.957234        0.000118  201533139349300123.xml  \n",
+       "943345498.0        0.957232        0.000085  201543179349305429.xml  \n",
+       "264795329.0        0.957231        0.000891  201543179349308719.xml  \n",
+       "262709818.0        0.957231        0.000005  201533179349302373.xml  \n",
+       "431129770.0        0.957231        0.001629  201620149349300127.xml  \n",
+       "592240502.0        0.957232        0.000936  201630129349300803.xml  \n",
+       "61462359.0         0.957231        0.000101  201620119349300422.xml  \n",
+       "630652760.0        0.957231        0.000526  201630129349300723.xml  \n",
+       "341472960.0        0.957231        0.000040  201610139349300811.xml  \n",
+       "800182020.0        0.957231        0.000217  201600199349300500.xml  \n",
+       "462754433.0        0.957232        0.000059  201600399349300955.xml  \n",
+       "742744885.0        0.957231        0.000034  201600369349301750.xml  \n",
+       "471127421.0        0.957239        0.000022  201610399349300226.xml  \n",
+       "742244155.0        0.957231        0.003509  201620359349300612.xml  \n",
+       "940764760.0        0.957231        0.000075  201610429349302361.xml  \n",
+       "840588263.0        0.957232        0.000033  201610369349301226.xml  \n",
+       "20650275.0         0.957231        0.000044  201640359349300129.xml  \n",
+       "942418861.0        0.957233        0.000317  201600429349301735.xml  \n",
+       "223201871.0        0.957232        0.000034  201600359349302005.xml  \n",
+       "650599763.0        0.957231        0.000022  201600419349301130.xml  \n",
+       "470461460.0        0.957232        0.000033  201640359349301614.xml  \n",
+       "990208381.0        0.957232        0.000027  201600429349302135.xml  \n",
+       "510216586.0        0.957231        0.707131  201610229349300741.xml  \n",
+       "\n",
+       "[38657 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 58,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.reset_index(drop=True,inplace=True)\n",
+    "norm_df=df.copy()\n",
+    "\n",
+    "norm_df=norm_df[['Program_Exp','Liabilities_To_Asset','Working_Capital','Surplus_Margin','Total_Expenses']]\n",
+    "\n",
+    "from sklearn import preprocessing\n",
+    "\n",
+    "x = norm_df.values #returns a numpy array\n",
+    "min_max_scaler = preprocessing.MinMaxScaler()\n",
+    "x_scaled = min_max_scaler.fit_transform(x)\n",
+    "norm_df = pd.DataFrame(x_scaled)\n",
+    "norm_df[\"Filename\"]=df['Filename']\n",
+    "\n",
+    "norm_df[\"EIN\"]=df['EIN']\n",
+    "norm_df.columns=['Program_Exp','Liabilities_To_Asset','Working_Capital','Surplus_Margin','Total_Expenses','Filename','EIN']\n",
+    "norm_df.set_index('EIN',inplace=True)\n",
+    "norm_df\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 59,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "       Program_Exp  Liabilities_To_Asset  Working_Capital  Surplus_Margin  \\\n",
+      "0         0.684058              0.013484         0.463650        0.957231   \n",
+      "1         0.667302              0.013479         0.463657        0.957231   \n",
+      "2         0.651333              0.013482         0.463647        0.957232   \n",
+      "3         0.265798              0.013479         0.463740        0.957234   \n",
+      "4         0.428952              0.013480         0.463649        0.957232   \n",
+      "5         0.524579              0.013522         0.463645        0.957231   \n",
+      "6         0.508964              0.013489         0.463646        0.957231   \n",
+      "7         0.445723              0.013492         0.463690        0.957233   \n",
+      "8         0.584548              0.013487         0.463646        0.957231   \n",
+      "9         0.526967              0.013479         0.463672        0.957232   \n",
+      "10        0.515236              0.013479         0.463696        0.957232   \n",
+      "11        0.632659              0.013479         0.463649        0.957231   \n",
+      "12        0.636148              0.013479         0.463646        0.957231   \n",
+      "13        0.459040              0.013517         0.463645        0.957232   \n",
+      "14        0.487059              0.013504         0.463645        0.957231   \n",
+      "15        0.000000              0.013479         0.463646        0.957231   \n",
+      "16        0.691234              0.013479         0.463645        0.957232   \n",
+      "17        0.691234              0.013479         0.463645        0.957200   \n",
+      "18        0.619964              0.013483         0.463647        0.957231   \n",
+      "19        0.000000              0.013497         0.463646        0.957231   \n",
+      "20        0.685154              0.013482         0.463646        0.957232   \n",
+      "21        0.000000              0.013492         0.463647        0.957231   \n",
+      "22        0.330200              0.013479         0.463648        0.957231   \n",
+      "23        0.575217              0.013482         0.463654        0.957232   \n",
+      "24        0.653299              0.013479         0.463648        0.957232   \n",
+      "25        0.461856              0.013481         0.464095        0.957231   \n",
+      "26        0.000000              0.013516         0.463647        0.957230   \n",
+      "27        0.657514              0.013499         0.463646        0.957231   \n",
+      "28        0.629263              0.013480         0.463648        0.957231   \n",
+      "29        0.587975              0.013483         0.463649        0.957232   \n",
+      "...            ...                   ...              ...             ...   \n",
+      "38639     0.525910              0.013514         0.463645        0.957223   \n",
+      "38640     0.566779              0.013511         0.463646        0.957231   \n",
+      "38641     0.090991              0.013535         0.463645        0.957231   \n",
+      "38642     0.413883              0.013526         0.463646        0.957230   \n",
+      "38643     0.429328              0.013481         0.463650        0.957231   \n",
+      "38644     0.587261              0.013486         0.463647        0.957231   \n",
+      "38645     0.613279              0.013560         0.463642        0.957231   \n",
+      "38646     0.505208              0.013493         0.463666        0.957234   \n",
+      "38647     0.394241              0.013481         0.463655        0.957232   \n",
+      "38648     0.680784              0.013541         0.463645        0.957231   \n",
+      "38649     0.691234              0.013537         0.463645        0.957231   \n",
+      "38650     0.600616              0.013491         0.463648        0.957231   \n",
+      "38651     0.593243              0.013484         0.463650        0.957232   \n",
+      "38652     0.582750              0.013484         0.463646        0.957231   \n",
+      "38653     0.686320              0.013496         0.463646        0.957231   \n",
+      "38654     0.691234              0.013537         0.463645        0.957231   \n",
+      "38655     0.411172              0.013487         0.463645        0.957231   \n",
+      "38656     0.000000              0.013479         0.463646        0.957232   \n",
+      "38657     0.674104              0.013479         0.463647        0.957231   \n",
+      "38658     0.095417              0.013479         0.463652        0.957239   \n",
+      "38659     0.622888              0.013511         0.463645        0.957231   \n",
+      "38660     0.685894              0.013525         0.463645        0.957231   \n",
+      "38661     0.683578              0.013483         0.463646        0.957232   \n",
+      "38662     0.470875              0.013508         0.463646        0.957231   \n",
+      "38663     0.682793              0.013480         0.463656        0.957233   \n",
+      "38664     0.627631              0.013479         0.463655        0.957232   \n",
+      "38665     0.660530              0.013723         0.463644        0.957231   \n",
+      "38666     0.321586              0.013480         0.463650        0.957232   \n",
+      "38667     0.589169              0.013482         0.463648        0.957232   \n",
+      "38668     0.360782              0.013522         0.463647        0.957231   \n",
+      "\n",
+      "       Total_Expenses                Filename  \n",
+      "0            0.000068  201523229349300327.xml  \n",
+      "1            0.000004  201543089349301829.xml  \n",
+      "2            0.000056  201533179349306298.xml  \n",
+      "3            0.000007  201533209349304768.xml  \n",
+      "4            0.000004  201533179349307343.xml  \n",
+      "5            0.000089  201533189349300608.xml  \n",
+      "6            0.000031  201523069349301367.xml  \n",
+      "7            0.000209  201533069349300963.xml  \n",
+      "8            0.000068  201523099349300542.xml  \n",
+      "9            0.000015  201533099349301033.xml  \n",
+      "10           0.000005  201523169349304367.xml  \n",
+      "11           0.000082  201533099349301803.xml  \n",
+      "12           0.000044  201523069349300142.xml  \n",
+      "13           0.000020  201543039349301204.xml  \n",
+      "14           0.000031  201523089349301462.xml  \n",
+      "15           0.000112  201533069349300788.xml  \n",
+      "16           0.000004  201533079349300238.xml  \n",
+      "17           0.000168  201523209349314257.xml  \n",
+      "18           0.000569  201523209349311332.xml  \n",
+      "19           0.000062  201533179349302173.xml  \n",
+      "20           0.000027  201533179349307048.xml  \n",
+      "21           0.001072  201533209349302633.xml  \n",
+      "22           0.000119  201533099349301113.xml  \n",
+      "23           0.000200  201523039349300127.xml  \n",
+      "24           0.000181  201523079349301652.xml  \n",
+      "25           0.000162  201533039349300813.xml  \n",
+      "26           0.002874  201533139349300208.xml  \n",
+      "27           0.004864  201533069349301413.xml  \n",
+      "28           0.000048  201533079349300003.xml  \n",
+      "29           0.000098  201523069349300957.xml  \n",
+      "...               ...                     ...  \n",
+      "38639        0.000107  201533099349301698.xml  \n",
+      "38640        0.000051  201543119349300204.xml  \n",
+      "38641        0.000333  201543139349302814.xml  \n",
+      "38642        0.000129  201533219349301213.xml  \n",
+      "38643        0.000100  201543179349306629.xml  \n",
+      "38644        0.000036  201533209349316263.xml  \n",
+      "38645        0.000021  201543079349301044.xml  \n",
+      "38646        0.000118  201533139349300123.xml  \n",
+      "38647        0.000085  201543179349305429.xml  \n",
+      "38648        0.000891  201543179349308719.xml  \n",
+      "38649        0.000005  201533179349302373.xml  \n",
+      "38650        0.001629  201620149349300127.xml  \n",
+      "38651        0.000936  201630129349300803.xml  \n",
+      "38652        0.000101  201620119349300422.xml  \n",
+      "38653        0.000526  201630129349300723.xml  \n",
+      "38654        0.000040  201610139349300811.xml  \n",
+      "38655        0.000217  201600199349300500.xml  \n",
+      "38656        0.000059  201600399349300955.xml  \n",
+      "38657        0.000034  201600369349301750.xml  \n",
+      "38658        0.000022  201610399349300226.xml  \n",
+      "38659        0.003509  201620359349300612.xml  \n",
+      "38660        0.000075  201610429349302361.xml  \n",
+      "38661        0.000033  201610369349301226.xml  \n",
+      "38662        0.000044  201640359349300129.xml  \n",
+      "38663        0.000317  201600429349301735.xml  \n",
+      "38664        0.000034  201600359349302005.xml  \n",
+      "38665        0.000022  201600419349301130.xml  \n",
+      "38666        0.000033  201640359349301614.xml  \n",
+      "38667        0.000027  201600429349302135.xml  \n",
+      "38668        0.707131  201610229349300741.xml  \n",
+      "\n",
+      "[38669 rows x 6 columns]\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Anaconda3\\lib\\site-packages\\ipykernel\\__main__.py:6: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+      "C:\\Anaconda3\\lib\\site-packages\\ipykernel\\__main__.py:10: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
+     ]
+    }
+   ],
+   "source": [
+    "df2 = df.copy()\n",
+    "df2.reset_index(inplace=True, drop = True)\n",
+    "print(norm_df2)\n",
+    "Y_class_df = pd.DataFrame()\n",
+    "X_class_df=norm_df.loc[lst_temp]\n",
+    "X_class_df['Efficiency'] = 1\n",
+    "\n",
+    "\n",
+    "Y_class_df['Efficiency'] = X_class_df['Efficiency'] \n",
+    "X_class_df.drop('Efficiency', axis=1, inplace=True)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 60,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "new_df=norm_df[['Program_Exp','Liabilities_To_Asset','Working_Capital','Surplus_Margin']]\n",
+    "new_df.reset_index(inplace=True,drop=True)\n",
+    "X_class_df=X_class_df[['Program_Exp','Liabilities_To_Asset','Working_Capital','Surplus_Margin']]\n",
+    "# X_class_df=X_class_df.drop(X_class_df.index[2])   #OUTLIER REMOVER\n",
+    "X_class_df.reset_index(inplace=True,drop=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 61,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "from sklearn.cluster import DBSCAN\n",
+    "from sklearn import metrics\n",
+    "from sklearn.datasets.samples_generator import make_blobs\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.decomposition import TruncatedSVD\n",
+    "\n",
+    "svd = TruncatedSVD(n_components=2, n_iter=7)\n",
+    "X = svd.fit_transform(new_df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 62,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "db = DBSCAN(eps=0.1, min_samples=10).fit(X)\n",
+    "core_samples_mask = np.zeros_like(db.labels_, dtype=bool)\n",
+    "core_samples_mask[db.core_sample_indices_] = True\n",
+    "labels = db.labels_\n",
+    "n_clusters_ = len(set(labels)) - (1 if -1 in labels else 0)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 79,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "1\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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8e4QprNfbLy2NuvPn0yE2lnemTLHEVGNM1EVr5MIqX5YzFStWZM60aSx48EG6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\nIiIigVJwISIiIoH6//SEypfIyYt0AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x179e3f4d080>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Filename</th>\n",
+       "      <th>EIN</th>\n",
+       "      <th>Program_Exp</th>\n",
+       "      <th>Liabilities_To_Asset</th>\n",
+       "      <th>Working_Capital</th>\n",
+       "      <th>Surplus_Margin</th>\n",
+       "      <th>Total_Expenses</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>2035</th>\n",
+       "      <td>201502969349300235.xml</td>\n",
+       "      <td>680383921.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>172324.300000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>10.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9921</th>\n",
+       "      <td>201513179349308861.xml</td>\n",
+       "      <td>311040228.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.540167</td>\n",
+       "      <td>149559.470000</td>\n",
+       "      <td>1.000333</td>\n",
+       "      <td>100.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12048</th>\n",
+       "      <td>201513179349305901.xml</td>\n",
+       "      <td>166050703.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>33.472201</td>\n",
+       "      <td>-148963.563600</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>220.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18753</th>\n",
+       "      <td>201513139349303196.xml</td>\n",
+       "      <td>943152652.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>254.451508</td>\n",
+       "      <td>-7.144765</td>\n",
+       "      <td>-250550.000000</td>\n",
+       "      <td>250551.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>30433</th>\n",
+       "      <td>201512599349300126.xml</td>\n",
+       "      <td>232799695.0</td>\n",
+       "      <td>0.985825</td>\n",
+       "      <td>0.426822</td>\n",
+       "      <td>2.387819</td>\n",
+       "      <td>-54849.571430</td>\n",
+       "      <td>202757.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     Filename          EIN  Program_Exp  Liabilities_To_Asset  \\\n",
+       "2035   201502969349300235.xml  680383921.0     0.000000              0.000000   \n",
+       "9921   201513179349308861.xml  311040228.0     0.000000              0.540167   \n",
+       "12048  201513179349305901.xml  166050703.0     1.000000             33.472201   \n",
+       "18753  201513139349303196.xml  943152652.0     1.000000            254.451508   \n",
+       "30433  201512599349300126.xml  232799695.0     0.985825              0.426822   \n",
+       "\n",
+       "       Working_Capital  Surplus_Margin  Total_Expenses  \n",
+       "2035     172324.300000        0.000000            10.0  \n",
+       "9921     149559.470000        1.000333           100.0  \n",
+       "12048   -148963.563600        0.000000           220.0  \n",
+       "18753        -7.144765  -250550.000000        250551.0  \n",
+       "30433         2.387819   -54849.571430        202757.0  "
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "print(n_clusters_)\n",
+    "\n",
+    "outliers_index = []\n",
+    "for i in range(len(labels)):\n",
+    "    if(labels[i]==-1):\n",
+    "        outliers_index.append(i)\n",
+    "        #print(df2.loc[i])\n",
+    "outliers = df2.loc[outliers_index]\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Black removed and is used for noise instead.\n",
+    "unique_labels = set(labels)\n",
+    "colors = 'cyan'\n",
+    "for k, col in zip(unique_labels, colors):\n",
+    "    if k == -1:\n",
+    "        # Black used for noise.\n",
+    "        col = 'k'\n",
+    "\n",
+    "    class_member_mask = (labels == k)\n",
+    "\n",
+    "    xy = X[class_member_mask & core_samples_mask]\n",
+    "    plt.plot(xy[:, 0], xy[:, 1], 'o', markerfacecolor=col,\n",
+    "             markeredgecolor='k', markersize=14)\n",
+    "\n",
+    "    xy = X[class_member_mask & ~core_samples_mask]\n",
+    "    plt.plot(xy[:, 0], xy[:, 1], 'o', markerfacecolor=col,\n",
+    "             markeredgecolor='k', markersize=6)\n",
+    "\n",
+    "plt.title('Estimated number of clusters: %d' % n_clusters_)\n",
+    "plt.show()\n",
+    "\n",
+    "outliers\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Results: \n",
+    "\n",
+    "Outliers appear to be failing in different metrics. The first 2 fail at Program Expenses and have extremeley inflated Working Capitals.\n",
+    "The last two, despite having positive program expenses, have very high and negative surplus margins and are thus losing a lot of money."
+   ]
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "kernelspec": {
+   "display_name": "Python [conda root]",
+   "language": "python",
+   "name": "conda-root-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Kmeans.ipynb b/Kmeans.ipynb
new file mode 100644
index 0000000..8709d08
--- /dev/null
+++ b/Kmeans.ipynb
@@ -0,0 +1,1323 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## KMeans\n",
+    "\n",
+    "Initialized cluster centers, assigning points to each cluster and repeating this process trying to minimize Euclidean distance from points to cluster centers with each iteration.\n",
+    "\n",
+    "Outliers were calculated as being the point that was the furthest Euclidean distance away from its cluster center"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Filename</th>\n",
+       "      <th>EIN</th>\n",
+       "      <th>Program_Exp</th>\n",
+       "      <th>Liabilities_To_Asset</th>\n",
+       "      <th>Working_Capital</th>\n",
+       "      <th>Surplus_Margin</th>\n",
+       "      <th>Total_Expenses</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>201523229349300327.xml</td>\n",
+       "      <td>510311790.0</td>\n",
+       "      <td>0.989619</td>\n",
+       "      <td>0.091802</td>\n",
+       "      <td>1.574677</td>\n",
+       "      <td>-0.078663</td>\n",
+       "      <td>464318.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>201543089349301829.xml</td>\n",
+       "      <td>261460932.0</td>\n",
+       "      <td>0.965378</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>3.910347</td>\n",
+       "      <td>-0.042674</td>\n",
+       "      <td>27439.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>201533179349306298.xml</td>\n",
+       "      <td>270609504.0</td>\n",
+       "      <td>0.942276</td>\n",
+       "      <td>0.049206</td>\n",
+       "      <td>0.655152</td>\n",
+       "      <td>0.088597</td>\n",
+       "      <td>384828.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>201533209349304768.xml</td>\n",
+       "      <td>521548962.0</td>\n",
+       "      <td>0.384526</td>\n",
+       "      <td>0.000814</td>\n",
+       "      <td>30.392756</td>\n",
+       "      <td>0.633126</td>\n",
+       "      <td>50912.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>201533179349307343.xml</td>\n",
+       "      <td>731653383.0</td>\n",
+       "      <td>0.620560</td>\n",
+       "      <td>0.029487</td>\n",
+       "      <td>1.083739</td>\n",
+       "      <td>0.105901</td>\n",
+       "      <td>28123.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>201533189349300608.xml</td>\n",
+       "      <td>237324566.0</td>\n",
+       "      <td>0.758902</td>\n",
+       "      <td>0.736982</td>\n",
+       "      <td>-0.176215</td>\n",
+       "      <td>-0.003914</td>\n",
+       "      <td>608126.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>201523069349301367.xml</td>\n",
+       "      <td>43259150.0</td>\n",
+       "      <td>0.736312</td>\n",
+       "      <td>0.181998</td>\n",
+       "      <td>0.378592</td>\n",
+       "      <td>0.057534</td>\n",
+       "      <td>212968.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>201533069349300963.xml</td>\n",
+       "      <td>621273871.0</td>\n",
+       "      <td>0.644822</td>\n",
+       "      <td>0.234247</td>\n",
+       "      <td>14.413163</td>\n",
+       "      <td>0.496122</td>\n",
+       "      <td>1426413.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>201523099349300542.xml</td>\n",
+       "      <td>541897455.0</td>\n",
+       "      <td>0.845659</td>\n",
+       "      <td>0.138531</td>\n",
+       "      <td>0.414986</td>\n",
+       "      <td>-0.016769</td>\n",
+       "      <td>461512.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>201533099349301033.xml</td>\n",
+       "      <td>251869168.0</td>\n",
+       "      <td>0.762357</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>8.673984</td>\n",
+       "      <td>0.122244</td>\n",
+       "      <td>102044.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>201523169349304367.xml</td>\n",
+       "      <td>376046335.0</td>\n",
+       "      <td>0.745386</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>16.463976</td>\n",
+       "      <td>0.252579</td>\n",
+       "      <td>37170.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>201533099349301803.xml</td>\n",
+       "      <td>50454409.0</td>\n",
+       "      <td>0.915261</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.158768</td>\n",
+       "      <td>0.062649</td>\n",
+       "      <td>557347.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>201523069349300142.xml</td>\n",
+       "      <td>272364809.0</td>\n",
+       "      <td>0.920307</td>\n",
+       "      <td>0.003606</td>\n",
+       "      <td>0.240597</td>\n",
+       "      <td>-0.029663</td>\n",
+       "      <td>302061.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>201543039349301204.xml</td>\n",
+       "      <td>463812139.0</td>\n",
+       "      <td>0.664088</td>\n",
+       "      <td>0.648413</td>\n",
+       "      <td>0.045823</td>\n",
+       "      <td>0.088812</td>\n",
+       "      <td>139974.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>201523089349301462.xml</td>\n",
+       "      <td>561797737.0</td>\n",
+       "      <td>0.704623</td>\n",
+       "      <td>0.432671</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-0.050384</td>\n",
+       "      <td>214773.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>201533069349300788.xml</td>\n",
+       "      <td>590638867.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.360157</td>\n",
+       "      <td>-0.055883</td>\n",
+       "      <td>762522.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>201533079349300238.xml</td>\n",
+       "      <td>273314429.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.107584</td>\n",
+       "      <td>26171.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>201523209349314257.xml</td>\n",
+       "      <td>710801566.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-8.212337</td>\n",
+       "      <td>1145333.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>201523209349311332.xml</td>\n",
+       "      <td>752204594.0</td>\n",
+       "      <td>0.896895</td>\n",
+       "      <td>0.069715</td>\n",
+       "      <td>0.535678</td>\n",
+       "      <td>-0.064100</td>\n",
+       "      <td>3889691.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>201533179349302173.xml</td>\n",
+       "      <td>251374594.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.313630</td>\n",
+       "      <td>0.337537</td>\n",
+       "      <td>0.014809</td>\n",
+       "      <td>423512.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>201533179349307048.xml</td>\n",
+       "      <td>450448773.0</td>\n",
+       "      <td>0.991205</td>\n",
+       "      <td>0.051348</td>\n",
+       "      <td>0.414930</td>\n",
+       "      <td>0.161552</td>\n",
+       "      <td>185894.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>201533209349302633.xml</td>\n",
+       "      <td>363789851.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.232011</td>\n",
+       "      <td>0.521133</td>\n",
+       "      <td>-0.128997</td>\n",
+       "      <td>7329143.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>201533099349301113.xml</td>\n",
+       "      <td>411712804.0</td>\n",
+       "      <td>0.477697</td>\n",
+       "      <td>0.009887</td>\n",
+       "      <td>0.751388</td>\n",
+       "      <td>-0.014507</td>\n",
+       "      <td>814720.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>201523039349300127.xml</td>\n",
+       "      <td>381557861.0</td>\n",
+       "      <td>0.832159</td>\n",
+       "      <td>0.063834</td>\n",
+       "      <td>2.988120</td>\n",
+       "      <td>0.170911</td>\n",
+       "      <td>1369609.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>201523079349301652.xml</td>\n",
+       "      <td>273741627.0</td>\n",
+       "      <td>0.945120</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.863663</td>\n",
+       "      <td>0.094985</td>\n",
+       "      <td>1234798.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>201533039349300813.xml</td>\n",
+       "      <td>411495321.0</td>\n",
+       "      <td>0.668161</td>\n",
+       "      <td>0.040796</td>\n",
+       "      <td>144.508488</td>\n",
+       "      <td>-0.139777</td>\n",
+       "      <td>1108143.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>201533139349300208.xml</td>\n",
+       "      <td>60666277.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.644904</td>\n",
+       "      <td>0.654848</td>\n",
+       "      <td>-0.296143</td>\n",
+       "      <td>19649432.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>201533069349301413.xml</td>\n",
+       "      <td>42616064.0</td>\n",
+       "      <td>0.951218</td>\n",
+       "      <td>0.338683</td>\n",
+       "      <td>0.178517</td>\n",
+       "      <td>0.041123</td>\n",
+       "      <td>33254203.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>201533079349300003.xml</td>\n",
+       "      <td>581651220.0</td>\n",
+       "      <td>0.910347</td>\n",
+       "      <td>0.026832</td>\n",
+       "      <td>0.945357</td>\n",
+       "      <td>-0.020293</td>\n",
+       "      <td>324797.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>201523069349300957.xml</td>\n",
+       "      <td>341496171.0</td>\n",
+       "      <td>0.850617</td>\n",
+       "      <td>0.068838</td>\n",
+       "      <td>1.125712</td>\n",
+       "      <td>0.212899</td>\n",
+       "      <td>672775.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75744</th>\n",
+       "      <td>201542929349301039.xml</td>\n",
+       "      <td>205158717.0</td>\n",
+       "      <td>0.490545</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.496350</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>52195.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75745</th>\n",
+       "      <td>201542929349301104.xml</td>\n",
+       "      <td>440296401.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.001255</td>\n",
+       "      <td>2.673444</td>\n",
+       "      <td>-0.075404</td>\n",
+       "      <td>3921954.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75746</th>\n",
+       "      <td>201542929349301204.xml</td>\n",
+       "      <td>131084330.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.949950</td>\n",
+       "      <td>0.043382</td>\n",
+       "      <td>-0.079563</td>\n",
+       "      <td>49480300.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75747</th>\n",
+       "      <td>201503109349302210.xml</td>\n",
+       "      <td>30228267.0</td>\n",
+       "      <td>0.726896</td>\n",
+       "      <td>0.048491</td>\n",
+       "      <td>0.484947</td>\n",
+       "      <td>0.059259</td>\n",
+       "      <td>1275474.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75748</th>\n",
+       "      <td>201503109349302270.xml</td>\n",
+       "      <td>741718905.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.444349</td>\n",
+       "      <td>0.536678</td>\n",
+       "      <td>-0.021724</td>\n",
+       "      <td>700826.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75749</th>\n",
+       "      <td>201522549349300117.xml</td>\n",
+       "      <td>150249365.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>2.604291</td>\n",
+       "      <td>1.828035</td>\n",
+       "      <td>54487.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75750</th>\n",
+       "      <td>201522549349300127.xml</td>\n",
+       "      <td>942763918.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.126873</td>\n",
+       "      <td>6.226369</td>\n",
+       "      <td>-0.160318</td>\n",
+       "      <td>61868.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75751</th>\n",
+       "      <td>201522549349300142.xml</td>\n",
+       "      <td>453774366.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.006878</td>\n",
+       "      <td>1.221741</td>\n",
+       "      <td>0.337512</td>\n",
+       "      <td>387277.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75752</th>\n",
+       "      <td>201522549349300202.xml</td>\n",
+       "      <td>860507921.0</td>\n",
+       "      <td>0.751038</td>\n",
+       "      <td>0.256169</td>\n",
+       "      <td>1.011925</td>\n",
+       "      <td>-0.045928</td>\n",
+       "      <td>3732567.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75753</th>\n",
+       "      <td>201522549349300217.xml</td>\n",
+       "      <td>236390816.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.128085</td>\n",
+       "      <td>19.697597</td>\n",
+       "      <td>-2.047494</td>\n",
+       "      <td>227081.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75754</th>\n",
+       "      <td>201522549349300247.xml</td>\n",
+       "      <td>940689854.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.562191</td>\n",
+       "      <td>0.151220</td>\n",
+       "      <td>-0.047202</td>\n",
+       "      <td>291609.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75755</th>\n",
+       "      <td>201522549349300317.xml</td>\n",
+       "      <td>830164620.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.009078</td>\n",
+       "      <td>5.486683</td>\n",
+       "      <td>0.127495</td>\n",
+       "      <td>188778.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75756</th>\n",
+       "      <td>201522549349300322.xml</td>\n",
+       "      <td>274726130.0</td>\n",
+       "      <td>0.991514</td>\n",
+       "      <td>0.003792</td>\n",
+       "      <td>1.651461</td>\n",
+       "      <td>0.392873</td>\n",
+       "      <td>1796484.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75757</th>\n",
+       "      <td>201503139349301280.xml</td>\n",
+       "      <td>810677279.0</td>\n",
+       "      <td>0.564601</td>\n",
+       "      <td>0.016695</td>\n",
+       "      <td>4.338949</td>\n",
+       "      <td>0.529888</td>\n",
+       "      <td>85951.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75758</th>\n",
+       "      <td>201503139349301285.xml</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75759</th>\n",
+       "      <td>201503139349301295.xml</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75760</th>\n",
+       "      <td>201503139349301300.xml</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75761</th>\n",
+       "      <td>201503139349301315.xml</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75762</th>\n",
+       "      <td>201503139349301335.xml</td>\n",
+       "      <td>20530732.0</td>\n",
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+       "      <td>0.345519</td>\n",
+       "      <td>-0.024264</td>\n",
+       "      <td>691125.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75763</th>\n",
+       "      <td>201503139349301400.xml</td>\n",
+       "      <td>60668594.0</td>\n",
+       "      <td>0.858908</td>\n",
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+       "      <td>-0.114802</td>\n",
+       "      <td>28331141.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75764</th>\n",
+       "      <td>201503139349301405.xml</td>\n",
+       "      <td>570884504.0</td>\n",
+       "      <td>0.960711</td>\n",
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+       "      <td>4.412177</td>\n",
+       "      <td>-0.360560</td>\n",
+       "      <td>57650.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75765</th>\n",
+       "      <td>201513159349303976.xml</td>\n",
+       "      <td>911075950.0</td>\n",
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+       "      <td>1188586.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75766</th>\n",
+       "      <td>201513159349303991.xml</td>\n",
+       "      <td>450537391.0</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75767</th>\n",
+       "      <td>201513159349304006.xml</td>\n",
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+       "      <td>201749.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75768</th>\n",
+       "      <td>201513159349304021.xml</td>\n",
+       "      <td>930854620.0</td>\n",
+       "      <td>0.221201</td>\n",
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+       "      <td>14.605622</td>\n",
+       "      <td>0.075426</td>\n",
+       "      <td>62260.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75769</th>\n",
+       "      <td>201513159349304046.xml</td>\n",
+       "      <td>263218152.0</td>\n",
+       "      <td>0.661838</td>\n",
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+       "      <td>0.730298</td>\n",
+       "      <td>-0.017285</td>\n",
+       "      <td>508851.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75770</th>\n",
+       "      <td>201513159349304051.xml</td>\n",
+       "      <td>520887806.0</td>\n",
+       "      <td>0.819248</td>\n",
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+       "      <td>0.537307</td>\n",
+       "      <td>0.028730</td>\n",
+       "      <td>5894235.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75771</th>\n",
+       "      <td>201513159349304061.xml</td>\n",
+       "      <td>942608741.0</td>\n",
+       "      <td>0.893704</td>\n",
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+       "      <td>1.638578</td>\n",
+       "      <td>0.044649</td>\n",
+       "      <td>243668.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75772</th>\n",
+       "      <td>201513159349304071.xml</td>\n",
+       "      <td>330841281.0</td>\n",
+       "      <td>0.807812</td>\n",
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+       "      <td>0.297505</td>\n",
+       "      <td>25594615.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75773</th>\n",
+       "      <td>201513159349304076.xml</td>\n",
+       "      <td>570751500.0</td>\n",
+       "      <td>0.887786</td>\n",
+       "      <td>0.415570</td>\n",
+       "      <td>8.571501</td>\n",
+       "      <td>0.063448</td>\n",
+       "      <td>1610096.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>75774 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     Filename          EIN  Program_Exp  Liabilities_To_Asset  \\\n",
+       "0      201523229349300327.xml  510311790.0     0.989619              0.091802   \n",
+       "1      201543089349301829.xml  261460932.0     0.965378              0.000000   \n",
+       "2      201533179349306298.xml  270609504.0     0.942276              0.049206   \n",
+       "3      201533209349304768.xml  521548962.0     0.384526              0.000814   \n",
+       "4      201533179349307343.xml  731653383.0     0.620560              0.029487   \n",
+       "5      201533189349300608.xml  237324566.0     0.758902              0.736982   \n",
+       "6      201523069349301367.xml   43259150.0     0.736312              0.181998   \n",
+       "7      201533069349300963.xml  621273871.0     0.644822              0.234247   \n",
+       "8      201523099349300542.xml  541897455.0     0.845659              0.138531   \n",
+       "9      201533099349301033.xml  251869168.0     0.762357              0.000000   \n",
+       "10     201523169349304367.xml  376046335.0     0.745386              0.000000   \n",
+       "11     201533099349301803.xml   50454409.0     0.915261              0.000000   \n",
+       "12     201523069349300142.xml  272364809.0     0.920307              0.003606   \n",
+       "13     201543039349301204.xml  463812139.0     0.664088              0.648413   \n",
+       "14     201523089349301462.xml  561797737.0     0.704623              0.432671   \n",
+       "15     201533069349300788.xml  590638867.0     0.000000              0.000000   \n",
+       "16     201533079349300238.xml  273314429.0     1.000000              0.000000   \n",
+       "17     201523209349314257.xml  710801566.0     1.000000              0.000000   \n",
+       "18     201523209349311332.xml  752204594.0     0.896895              0.069715   \n",
+       "19     201533179349302173.xml  251374594.0     0.000000              0.313630   \n",
+       "20     201533179349307048.xml  450448773.0     0.991205              0.051348   \n",
+       "21     201533209349302633.xml  363789851.0     0.000000              0.232011   \n",
+       "22     201533099349301113.xml  411712804.0     0.477697              0.009887   \n",
+       "23     201523039349300127.xml  381557861.0     0.832159              0.063834   \n",
+       "24     201523079349301652.xml  273741627.0     0.945120              0.000000   \n",
+       "25     201533039349300813.xml  411495321.0     0.668161              0.040796   \n",
+       "26     201533139349300208.xml   60666277.0     0.000000              0.644904   \n",
+       "27     201533069349301413.xml   42616064.0     0.951218              0.338683   \n",
+       "28     201533079349300003.xml  581651220.0     0.910347              0.026832   \n",
+       "29     201523069349300957.xml  341496171.0     0.850617              0.068838   \n",
+       "...                       ...          ...          ...                   ...   \n",
+       "75744  201542929349301039.xml  205158717.0     0.490545              0.000000   \n",
+       "75745  201542929349301104.xml  440296401.0     0.000000              0.001255   \n",
+       "75746  201542929349301204.xml  131084330.0     0.000000              0.949950   \n",
+       "75747  201503109349302210.xml   30228267.0     0.726896              0.048491   \n",
+       "75748  201503109349302270.xml  741718905.0     0.000000              0.444349   \n",
+       "75749  201522549349300117.xml  150249365.0     0.000000              0.000000   \n",
+       "75750  201522549349300127.xml  942763918.0     0.000000              0.126873   \n",
+       "75751  201522549349300142.xml  453774366.0     0.000000              0.006878   \n",
+       "75752  201522549349300202.xml  860507921.0     0.751038              0.256169   \n",
+       "75753  201522549349300217.xml  236390816.0     0.000000              0.128085   \n",
+       "75754  201522549349300247.xml  940689854.0     1.000000              0.562191   \n",
+       "75755  201522549349300317.xml  830164620.0     0.000000              0.009078   \n",
+       "75756  201522549349300322.xml  274726130.0     0.991514              0.003792   \n",
+       "75757  201503139349301280.xml  810677279.0     0.564601              0.016695   \n",
+       "75758  201503139349301285.xml  232090256.0     0.767743              1.176003   \n",
+       "75759  201503139349301295.xml  202902396.0     0.009901              0.004141   \n",
+       "75760  201503139349301300.xml  222471909.0     0.940847              1.457766   \n",
+       "75761  201503139349301315.xml   50359008.0     0.634199              0.006712   \n",
+       "75762  201503139349301335.xml   20530732.0     0.796464              0.874227   \n",
+       "75763  201503139349301400.xml   60668594.0     0.858908              0.183348   \n",
+       "75764  201503139349301405.xml  570884504.0     0.960711              0.202614   \n",
+       "75765  201513159349303976.xml  911075950.0     0.912792              0.112852   \n",
+       "75766  201513159349303991.xml  450537391.0     0.882861              1.000000   \n",
+       "75767  201513159349304006.xml  630985623.0     1.000000              0.164163   \n",
+       "75768  201513159349304021.xml  930854620.0     0.221201              0.000121   \n",
+       "75769  201513159349304046.xml  263218152.0     0.661838              0.163034   \n",
+       "75770  201513159349304051.xml  520887806.0     0.819248              0.417553   \n",
+       "75771  201513159349304061.xml  942608741.0     0.893704              0.009907   \n",
+       "75772  201513159349304071.xml  330841281.0     0.807812              0.342269   \n",
+       "75773  201513159349304076.xml  570751500.0     0.887786              0.415570   \n",
+       "\n",
+       "       Working_Capital  Surplus_Margin  Total_Expenses  \n",
+       "0             1.574677       -0.078663        464318.0  \n",
+       "1             3.910347       -0.042674         27439.0  \n",
+       "2             0.655152        0.088597        384828.0  \n",
+       "3            30.392756        0.633126         50912.0  \n",
+       "4             1.083739        0.105901         28123.0  \n",
+       "5            -0.176215       -0.003914        608126.0  \n",
+       "6             0.378592        0.057534        212968.0  \n",
+       "7            14.413163        0.496122       1426413.0  \n",
+       "8             0.414986       -0.016769        461512.0  \n",
+       "9             8.673984        0.122244        102044.0  \n",
+       "10           16.463976        0.252579         37170.0  \n",
+       "11            1.158768        0.062649        557347.0  \n",
+       "12            0.240597       -0.029663        302061.0  \n",
+       "13            0.045823        0.088812        139974.0  \n",
+       "14            0.000000       -0.050384        214773.0  \n",
+       "15            0.360157       -0.055883        762522.0  \n",
+       "16            0.000000        0.107584         26171.0  \n",
+       "17            0.000000       -8.212337       1145333.0  \n",
+       "18            0.535678       -0.064100       3889691.0  \n",
+       "19            0.337537        0.014809        423512.0  \n",
+       "20            0.414930        0.161552        185894.0  \n",
+       "21            0.521133       -0.128997       7329143.0  \n",
+       "22            0.751388       -0.014507        814720.0  \n",
+       "23            2.988120        0.170911       1369609.0  \n",
+       "24            0.863663        0.094985       1234798.0  \n",
+       "25          144.508488       -0.139777       1108143.0  \n",
+       "26            0.654848       -0.296143      19649432.0  \n",
+       "27            0.178517        0.041123      33254203.0  \n",
+       "28            0.945357       -0.020293        324797.0  \n",
+       "29            1.125712        0.212899        672775.0  \n",
+       "...                ...             ...             ...  \n",
+       "75744         0.496350        0.000000         52195.0  \n",
+       "75745         2.673444       -0.075404       3921954.0  \n",
+       "75746         0.043382       -0.079563      49480300.0  \n",
+       "75747         0.484947        0.059259       1275474.0  \n",
+       "75748         0.536678       -0.021724        700826.0  \n",
+       "75749         2.604291        1.828035         54487.0  \n",
+       "75750         6.226369       -0.160318         61868.0  \n",
+       "75751         1.221741        0.337512        387277.0  \n",
+       "75752         1.011925       -0.045928       3732567.0  \n",
+       "75753        19.697597       -2.047494        227081.0  \n",
+       "75754         0.151220       -0.047202        291609.0  \n",
+       "75755         5.486683        0.127495        188778.0  \n",
+       "75756         1.651461        0.392873       1796484.0  \n",
+       "75757         4.338949        0.529888         85951.0  \n",
+       "75758        -0.257737       -0.065425      16050928.0  \n",
+       "75759      1704.089109        0.979933           808.0  \n",
+       "75760        -1.793719        0.013922        469665.0  \n",
+       "75761         3.553722        0.199138        179469.0  \n",
+       "75762         0.345519       -0.024264        691125.0  \n",
+       "75763         0.809719       -0.114802      28331141.0  \n",
+       "75764         4.412177       -0.360560         57650.0  \n",
+       "75765         6.978676        0.023383       1188586.0  \n",
+       "75766         0.000000        0.000000      33214334.0  \n",
+       "75767         1.350470        0.070756        201749.0  \n",
+       "75768        14.605622        0.075426         62260.0  \n",
+       "75769         0.730298       -0.017285        508851.0  \n",
+       "75770         0.537307        0.028730       5894235.0  \n",
+       "75771         1.638578        0.044649        243668.0  \n",
+       "75772         0.836017        0.297505      25594615.0  \n",
+       "75773         8.571501        0.063448       1610096.0  \n",
+       "\n",
+       "[75774 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import numpy as np\n",
+    "from sklearn.cluster import KMeans\n",
+    "import matplotlib.pyplot as plt\n",
+    "import pandas as pd\n",
+    "from sklearn.cluster import KMeans\n",
+    "import \tnumpy as np\n",
+    "import re\n",
+    "import sys\n",
+    "import csv\n",
+    "from sklearn import preprocessing\n",
+    "import sklearn.metrics as met\n",
+    "from sklearn.decomposition import PCA\n",
+    "import matplotlib.cm as cm\n",
+    "\n",
+    "\n",
+    "df1=pd.read_csv('team_out_1.csv')\n",
+    "df2=pd.read_csv('team_out_a2.csv')\n",
+    "df3=pd.read_csv('team_out_a3.csv')\n",
+    "df4=pd.read_csv('team_out_Yash.csv')\n",
+    "df5=pd.read_csv('team_out_Yash_part1.csv')\n",
+    "\n",
+    "df=df1.append(df2)\n",
+    "df=df.append(df3)\n",
+    "df=df.append(df4)\n",
+    "df=df.append(df5)\n",
+    "\n",
+    "\n",
+    "df.dropna(inplace=True)\n",
+    "df.reset_index(inplace=True,drop=True)\n",
+    "# df=df[df.Total_Expenses>0]\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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2NLN/Bx4GNgPl23hrNAcdBH37apaGiIgUtughAtgDuA9YAtwPrAZGuPuHUatqQu3qlQoR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\naBm6FvgVoRn2JjPb6O73RK2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+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x162cc90fe80>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\n",
+    "\n",
+    "%matplotlib inline\n",
+    "\n",
+    "temp_df=df[['Program_Exp','Liabilities_To_Asset','Working_Capital','Surplus_Margin','Total_Expenses']]\n",
+    "\n",
+    "\n",
+    "def evaluate_clusters(metrics_df,max_clusters):\n",
+    "    error = np.zeros(max_clusters+1)\n",
+    "    error[0] = 0;\n",
+    "    for k in range(1,max_clusters+1):\n",
+    "        kmeans = KMeans(init='k-means++', n_clusters=k, n_init=10)\n",
+    "        kmeans.fit(metrics_df)\n",
+    "        error[k] = kmeans.inertia_\n",
+    "\n",
+    "    plt.plot(range(1,len(error)),error[1:])\n",
+    "    plt.xlabel('Number of clusters')\n",
+    "    plt.ylabel('Error')\n",
+    "\n",
+    "\n",
+    "evaluate_clusters(temp_df,10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Through the graph we determined number of clusters to be 5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": false,
+    "scrolled": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "----Initialization complete-------\n",
+      "data1 = 38240\n",
+      "data2 = 19794\n",
+      "data3 = 23592\n",
+      "data4 = 20410\n",
+      "data5 = 6126\n",
+      "data1 length after 1st merge = 58034\n",
+      "data1 length after (subtract 19120, have spaces after scraping): 81626\n",
+      "normalized dataframe\n",
+      "                  0             1             2             3         4\n",
+      "0      2.131339e-06  1.977141e-07  3.391377e-06 -1.694160e-07  1.000000\n",
+      "1      3.518269e-05  0.000000e+00  1.425105e-04 -1.555219e-06  1.000000\n",
+      "2      2.448563e-06  1.278658e-07  1.702455e-06  2.302254e-07  1.000000\n",
+      "3      7.552761e-06  1.598110e-08  5.969663e-04  1.243570e-05  1.000000\n",
+      "4      2.206591e-05  1.048490e-06  3.853569e-05  3.765625e-06  1.000000\n",
+      "5      1.247935e-06  1.211890e-06 -2.897675e-07 -6.435478e-09  1.000000\n",
+      "6      3.457386e-06  8.545792e-07  1.777695e-06  2.701533e-07  1.000000\n",
+      "7      4.520587e-07  1.642210e-07  1.010448e-05  3.478109e-07  1.000000\n",
+      "8      1.832367e-06  3.001670e-07  8.991878e-07 -3.633486e-08  1.000000\n",
+      "9      7.470870e-06  0.000000e+00  8.500239e-05  1.197957e-06  1.000000\n",
+      "10     2.005343e-05  0.000000e+00  4.429372e-04  6.795234e-06  1.000000\n",
+      "11     1.642175e-06  0.000000e+00  2.079079e-06  1.124058e-07  1.000000\n",
+      "12     3.046760e-06  1.193733e-08  7.965182e-07 -9.820306e-08  1.000000\n",
+      "13     4.744364e-06  4.632382e-06  3.273665e-07  6.344877e-07  1.000000\n",
+      "14     3.280780e-06  2.014551e-06  0.000000e+00 -2.345903e-07  1.000000\n",
+      "15     0.000000e+00  0.000000e+00  4.723240e-07 -7.328753e-08  1.000000\n",
+      "16     3.821023e-05  0.000000e+00  0.000000e+00  4.110799e-06  1.000000\n",
+      "17     8.731085e-07  0.000000e+00  0.000000e+00 -7.170261e-06  1.000000\n",
+      "18     2.305827e-07  1.792308e-08  1.377174e-07 -1.647954e-08  1.000000\n",
+      "19     0.000000e+00  7.405453e-07  7.969953e-07  3.496711e-08  1.000000\n",
+      "20     5.332096e-06  2.762217e-07  2.232079e-06  8.690540e-07  1.000000\n",
+      "21     0.000000e+00  3.165589e-08  7.110422e-08 -1.760049e-08  1.000000\n",
+      "22     5.863323e-07  1.213551e-08  9.222656e-07 -1.780591e-08  1.000000\n",
+      "23     6.075890e-07  4.660744e-08  2.181732e-06  1.247884e-07  1.000000\n",
+      "24     7.654044e-07  0.000000e+00  6.994364e-07  7.692317e-08  1.000000\n",
+      "25     6.029556e-07  3.681503e-08  1.304060e-04 -1.261360e-07  1.000000\n",
+      "26     0.000000e+00  3.282049e-08  3.332658e-08 -1.507132e-08  1.000000\n",
+      "27     2.860444e-08  1.018467e-08  5.368263e-09  1.236626e-09  1.000000\n",
+      "28     2.802819e-06  8.261259e-08  2.910608e-06 -6.247890e-08  1.000000\n",
+      "29     1.264341e-06  1.023200e-07  1.673237e-06  3.164497e-07  1.000000\n",
+      "...             ...           ...           ...           ...       ...\n",
+      "75744  9.398315e-06  0.000000e+00  9.509536e-06  0.000000e+00  1.000000\n",
+      "75745  0.000000e+00  3.200816e-10  6.816613e-07 -1.922601e-08  1.000000\n",
+      "75746  0.000000e+00  1.919854e-08  8.767459e-10 -1.607975e-09  1.000000\n",
+      "75747  5.699027e-07  3.801801e-08  3.802091e-07  4.646013e-08  1.000000\n",
+      "75748  0.000000e+00  6.340360e-07  7.657794e-07 -3.099764e-08  1.000000\n",
+      "75749  0.000000e+00  0.000000e+00  4.779656e-05  3.354993e-05  1.000000\n",
+      "75750  0.000000e+00  2.050710e-06  1.006396e-04 -2.591285e-06  1.000000\n",
+      "75751  0.000000e+00  1.776056e-08  3.154694e-06  8.715013e-07  1.000000\n",
+      "75752  2.012123e-07  6.863091e-08  2.711069e-07 -1.230454e-08  1.000000\n",
+      "75753  0.000000e+00  5.640484e-07  8.674260e-05 -9.016582e-06  1.000000\n",
+      "75754  3.429249e-06  1.927893e-06  5.185698e-07 -1.618661e-07  1.000000\n",
+      "75755  0.000000e+00  4.808916e-08  2.906421e-05  6.753696e-07  1.000000\n",
+      "75756  5.519192e-07  2.110600e-09  9.192742e-07  2.186902e-07  1.000000\n",
+      "75757  6.568868e-06  1.942418e-07  5.048166e-05  6.165004e-06  1.000000\n",
+      "75758  4.783169e-08  7.326701e-08 -1.605745e-08 -4.076068e-09  1.000000\n",
+      "75759  5.249886e-06  2.195538e-06  9.035736e-01  5.195984e-04  0.428433\n",
+      "75760  2.003230e-06  3.103842e-06 -3.819145e-06  2.964244e-08  1.000000\n",
+      "75761  3.533750e-06  3.740158e-08  1.980132e-05  1.109597e-06  1.000000\n",
+      "75762  1.152416e-06  1.264933e-06  4.999374e-07 -3.510865e-08  1.000000\n",
+      "75763  3.031673e-08  6.471599e-09  2.858051e-08 -4.052156e-09  1.000000\n",
+      "75764  1.666455e-05  3.514561e-06  7.653386e-05 -6.254289e-06  1.000000\n",
+      "75765  7.679648e-07  9.494667e-08  5.871411e-06  1.967259e-08  1.000000\n",
+      "75766  2.658072e-08  3.010748e-08  0.000000e+00  0.000000e+00  1.000000\n",
+      "75767  4.956654e-06  8.137010e-07  6.693813e-06  3.507152e-07  1.000000\n",
+      "75768  3.552866e-06  1.942938e-09  2.345908e-04  1.211465e-06  1.000000\n",
+      "75769  1.300652e-06  3.203959e-07  1.435191e-06 -3.396852e-08  1.000000\n",
+      "75770  1.389913e-07  7.084098e-08  9.115801e-08  4.874215e-09  1.000000\n",
+      "75771  3.667711e-06  4.065639e-08  6.724633e-06  1.832371e-07  1.000000\n",
+      "75772  3.156181e-08  1.337271e-08  3.266378e-08  1.162375e-08  1.000000\n",
+      "75773  5.513871e-07  2.581028e-07  5.323596e-06  3.940635e-08  1.000000\n",
+      "\n",
+      "[75774 rows x 5 columns]\n",
+      "compute kmeans clusters\n",
+      "-------------------------------------\n",
+      "silhoutte coefficent : 0.997794498966\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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R3ifKrlRk+CulokJZFslaXwhYaoFXko69AgwxswElaI+ISO+yZUuQXWlvz6x8e3uQZdmy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\niIhI7ClgERERkdj7/656HZGBGC46AAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x11727eeb8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "class kmeans_clustering:\n",
+    "\n",
+    "    def __init__(self, file_1, file_2, file_3,file_4,file_5):\n",
+    "        self.file1 = file_1\n",
+    "        self.file2 = file_2\n",
+    "        self.file3 = file_3\n",
+    "        self.file4 = file_4\n",
+    "        self.file5 = file_5\n",
+    "        self.df = pd.DataFrame()\n",
+    "        self.df_norm = pd.DataFrame()\n",
+    "        print('----Initialization complete-------')\n",
+    "\n",
+    "    def read_data(self):\n",
+    "        f1 = open(self.file1, 'r')\n",
+    "        f2 = open(self.file2, 'r')\n",
+    "        f3 = open(self.file3, 'r')\n",
+    "        f4 = open(self.file4, 'r')\n",
+    "        f5 = open(self.file5, 'r')\n",
+    "\n",
+    "\n",
+    "        reader = csv.reader(f1)\n",
+    "        data1 = list(reader)\n",
+    "\n",
+    "        reader = csv.reader(f2)\n",
+    "        data2 = list(reader)\n",
+    "\n",
+    "        reader = csv.reader(f3)\n",
+    "        data3 = list(reader)\n",
+    "        \n",
+    "        reader = csv.reader(f4)\n",
+    "        data4 = list(reader)\n",
+    "        \n",
+    "        reader = csv.reader(f5)\n",
+    "        data5 = list(reader)\n",
+    "\n",
+    "        print('data1 = ' + str(len(data1)))\n",
+    "        print('data2 = ' + str(len(data2)))\n",
+    "        print('data3 = ' + str(len(data3)))\n",
+    "        print('data4 = ' + str(len(data4)))\n",
+    "        print('data5 = ' + str(len(data5)))\n",
+    "\n",
+    "\n",
+    "        data1.extend(data2)\n",
+    "        print('data1 length after 1st merge = ' + str(len(data1)))\n",
+    "\n",
+    "        data1.extend(data3)\n",
+    "        print('data1 length after (subtract 19120, have spaces after scraping): ' + str(len(data1)))\n",
+    "        \n",
+    "        data1.extend(data4)\n",
+    "        data1.extend(data5)\n",
+    "        \n",
+    "\n",
+    "        fa = [ ]\n",
+    "        fb = [ ]\n",
+    "        fc = [ ]\n",
+    "        fd = [ ]\n",
+    "        fe = [ ]\n",
+    "\n",
+    "        for i in range(0, len(data1)):\n",
+    "            if len(data1[i]) != 0:\n",
+    "                fa.append(float(data1[i][2])) # feature1:prog-expense-ratio\n",
+    "                fb.append(float(data1[i][3])) # feature2:asset-liability-ratio\n",
+    "                fc.append(float(data1[i][4])) # feature3:working-capital-ratio\n",
+    "                fd.append(float(data1[i][5])) # feature4:surplus-margin\n",
+    "                fe.append(float(data1[i][6])) # feature5:total-amt\n",
+    "\t\t\n",
+    "        dfa = pd.DataFrame(fa)\n",
+    "        dfb = pd.DataFrame(fb)\n",
+    "        dfc = pd.DataFrame(fc)\n",
+    "        dfd = pd.DataFrame(fd)\n",
+    "        dfe = pd.DataFrame(fe)\n",
+    "\n",
+    "        self.df = pd.concat([dfa, dfb, dfc, dfd, dfe], axis = 1)\n",
+    "\t\t#print('dataframe df combined')\n",
+    "\t\t#print(self.df)\n",
+    "\t\n",
+    "    def create_clusters(self):\n",
+    "        array_norm  = preprocessing.normalize(self.df)\n",
+    "\t\t#self.df_norm = pd.DataFrame(preprocessing.normalize(self.df))\n",
+    "        \n",
+    "        global norm_array\n",
+    "        norm_array=array_norm\n",
+    "        \n",
+    "        \n",
+    "        print('normalized dataframe')\n",
+    "        print(pd.DataFrame(array_norm))\n",
+    "        print('compute kmeans clusters')\n",
+    "\n",
+    "        num = 2\n",
+    "\n",
+    "\t\t#Uncomment the following code if you want to evaluate best cluster#\n",
+    "# \t\t'''\n",
+    "# \t\tfor i in range(0,10):\n",
+    "# \t\t\tkmeans = KMeans(init='k-means++', n_clusters=num, n_init=10)\n",
+    "# \t\t\tkmeans.fit_predict(array_norm)\n",
+    "# \t\t\terror = kmeans.inertia_\n",
+    "# \t\t\t#print(\" Total error with \" + str(num) + \" clusters = \" + str(error))\n",
+    "# \t\t\tnum = num + 1\n",
+    "# \t\t\tscore = met.silhouette_score(array_norm, kmeans.labels_, metric='euclidean',sample_size=1000)\n",
+    "# \t\t\tprint('# clusters : ' + str(num) + 'silhoutte coefficent : ' + str(score))\n",
+    "# \t\t'''\n",
+    "\n",
+    "\t\t# Run kmeans on best clusters#\n",
+    "\t\t\n",
+    "        kmeans = KMeans(init='k-means++', n_clusters=5, n_init=10)\n",
+    "\n",
+    "        global k\n",
+    "        k=kmeans.fit_predict(array_norm)\n",
+    "        \n",
+    "        global cluster_labels\n",
+    "        cluster_labels = kmeans.labels_\n",
+    "\n",
+    "        \n",
+    "        global cluster_centers\n",
+    "        cluster_centers=kmeans.cluster_centers_\n",
+    "        print('-------------------------------------')\n",
+    "        score = met.silhouette_score(array_norm, kmeans.labels_, metric='euclidean',sample_size=1000)\n",
+    "        print('silhoutte coefficent : ' + str(score))\n",
+    "\n",
+    "        #PCA to lower dimensionality of the data\n",
+    "        pca_2 = PCA(2)\n",
+    "        plot_columns = pca_2.fit_transform(array_norm)\n",
+    "        \n",
+    "        plt.xlabel(\"x-axis\")\n",
+    "        plt.ylabel(\"y-axis\")\n",
+    "        plt.title(\"K-means++ clustering\")\n",
+    "\n",
+    "        i=0\n",
+    "\n",
+    "        for sample in plot_columns:\n",
+    "            if kmeans.labels_[i] == 0:\n",
+    "                plt.scatter(sample[0],sample[1],color=\"c\",s=75,marker=\"o\")\n",
+    "            if kmeans.labels_[i] == 1:\n",
+    "                plt.scatter(sample[0],sample[1],s=75,marker=\"*\",color=\"chartreuse\")\n",
+    "            if kmeans.labels_[i] == 2:\n",
+    "                plt.scatter(sample[0],sample[1],color=\"green\",s=75,marker=\"v\")\n",
+    "            if kmeans.labels_[i] == 3:\n",
+    "                plt.scatter(sample[0],sample[1],color=\"cyan\",s=75,marker=\"^\")\n",
+    "            if kmeans.labels_[i] == 4:\n",
+    "                plt.scatter(sample[0],sample[1],color=\"red\",s=75,marker=\"^\")\n",
+    "            i += 1\n",
+    "        plt.show()\n",
+    "\n",
+    "\n",
+    "file_1 = 'team_out_1.txt'\n",
+    "file_2 = 'team_out_a2.txt'\n",
+    "file_3 = 'team_out_a3.txt'\n",
+    "file_4='team_out_Yash.txt'\n",
+    "file_5='team_out_Yash_part1.txt'\n",
+    "\n",
+    "k=[]\n",
+    "norm_array=[]\n",
+    "cluster_centers=[]\n",
+    "cluster_labels = []\n",
+    "class_instance = kmeans_clustering(file_1, file_2, file_3,file_4,file_5)\n",
+    "class_instance.read_data()\n",
+    "class_instance.create_clusters()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 64,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Filename</th>\n",
+       "      <th>EIN</th>\n",
+       "      <th>Program_Exp</th>\n",
+       "      <th>Liabilities_To_Asset</th>\n",
+       "      <th>Working_Capital</th>\n",
+       "      <th>Surplus_Margin</th>\n",
+       "      <th>Total_Expenses</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>31116</th>\n",
+       "      <td>201610419349301801.xml</td>\n",
+       "      <td>521221108.0</td>\n",
+       "      <td>0.400001</td>\n",
+       "      <td>16883.315790</td>\n",
+       "      <td>-1.915329</td>\n",
+       "      <td>-9.796983</td>\n",
+       "      <td>167472.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>49876</th>\n",
+       "      <td>201641329349301804.xml</td>\n",
+       "      <td>232787307.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>2728.935484</td>\n",
+       "      <td>-234.905556</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>360.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>70485</th>\n",
+       "      <td>201513299349300711.xml</td>\n",
+       "      <td>481252775.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.008741</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>54408</th>\n",
+       "      <td>201610439349303016.xml</td>\n",
+       "      <td>561949970.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2827</th>\n",
+       "      <td>201542589349300999.xml</td>\n",
+       "      <td>352090479.0</td>\n",
+       "      <td>0.857410</td>\n",
+       "      <td>0.217362</td>\n",
+       "      <td>298.930677</td>\n",
+       "      <td>-12877.666670</td>\n",
+       "      <td>4818.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     Filename          EIN  Program_Exp  Liabilities_To_Asset  \\\n",
+       "31116  201610419349301801.xml  521221108.0     0.400001          16883.315790   \n",
+       "49876  201641329349301804.xml  232787307.0     1.000000           2728.935484   \n",
+       "70485  201513299349300711.xml  481252775.0     0.000000              0.000000   \n",
+       "54408  201610439349303016.xml  561949970.0     1.000000              0.000000   \n",
+       "2827   201542589349300999.xml  352090479.0     0.857410              0.217362   \n",
+       "\n",
+       "       Working_Capital  Surplus_Margin  Total_Expenses  \n",
+       "31116        -1.915329       -9.796983        167472.0  \n",
+       "49876      -234.905556        0.000000           360.0  \n",
+       "70485         0.000000        0.008741             0.0  \n",
+       "54408         1.000000        0.000000             1.0  \n",
+       "2827        298.930677   -12877.666670          4818.0  "
+      ]
+     },
+     "execution_count": 64,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#OUTLIER ANALYSIS\n",
+    "from sklearn import preprocessing\n",
+    "\n",
+    "def distance(v1,centroid):\n",
+    "    maxx = 0\n",
+    "    for i,value in enumerate(v1):\n",
+    "        temp1 = np.sqrt(np.sum((v1[i]-centroid)**2))\n",
+    "        if(temp1>maxx):\n",
+    "            maxx = temp1\n",
+    "            max_val = []\n",
+    "            max_val.append(value)\n",
+    "            max_val.append(i)\n",
+    "            max_val.append(temp1)\n",
+    "    return max_val\n",
+    "\n",
+    "\n",
+    "cluster1 = np.where(cluster_labels==0)\n",
+    "cluster2 = np.where(cluster_labels==1)\n",
+    "cluster3 = np.where(cluster_labels==2)\n",
+    "cluster4 = np.where(cluster_labels==3)\n",
+    "cluster5 = np.where(cluster_labels==4)\n",
+    "\n",
+    "norm_df=df.copy()\n",
+    "norm_df=norm_df[['Program_Exp','Liabilities_To_Asset','Working_Capital','Surplus_Margin','Total_Expenses']]\n",
+    "x = norm_df.values #returns a numpy array\n",
+    "min_max_scaler = preprocessing.MinMaxScaler()\n",
+    "x_scaled = min_max_scaler.fit_transform(x)\n",
+    "norm_df = pd.DataFrame(x_scaled)\n",
+    "\n",
+    "outliers = pd.DataFrame()\n",
+    "outliers_index = []\n",
+    "\n",
+    "cluster1_entries = norm_df.loc[cluster1].as_matrix()\n",
+    "outlier_cluster1 = distance(cluster1_entries,cluster_centers[0])\n",
+    "outliers_index.append(cluster1[0][outlier_cluster1[1]])\n",
+    "\n",
+    "cluster2_entries = norm_df.loc[cluster2].as_matrix()\n",
+    "outlier_cluster2 = distance(cluster2_entries,cluster_centers[1])\n",
+    "outliers_index.append(cluster2[0][outlier_cluster2[1]])\n",
+    "\n",
+    "cluster3_entries = norm_df.loc[cluster3].as_matrix()\n",
+    "outlier_cluster3 = distance(cluster3_entries,cluster_centers[2])\n",
+    "outliers_index.append(cluster3[0][outlier_cluster3[1]])\n",
+    "\n",
+    "cluster4_entries = norm_df.loc[cluster4].as_matrix()\n",
+    "outlier_cluster4 = distance(cluster4_entries,cluster_centers[3])\n",
+    "outliers_index.append(cluster4[0][outlier_cluster4[1]])\n",
+    "\n",
+    "cluster5_entries = norm_df.loc[cluster5].as_matrix()\n",
+    "outlier_cluster5 = distance(cluster5_entries,cluster_centers[4])\n",
+    "outliers_index.append(cluster5[0][outlier_cluster5[1]])\n",
+    "\n",
+    "df.loc[outliers_index]\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Results\n",
+    "\n",
+    "These 5 businesses are the outliers for each of their clusters, they can all be seen as financially inefficient because their metrics are lacking in some aspects. For instance the first two have very high liabilities to assets ratio but low working capital ratio. On the other hand, the last row has very high working capital ratio but low and very negative surplus margin"
+   ]
+  }
+ ],
+ "metadata": {
+  "anaconda-cloud": {},
+  "kernelspec": {
+   "display_name": "Python [default]",
+   "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": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/OneClassSVM.ipynb b/OneClassSVM.ipynb
new file mode 100644
index 0000000..b987ced
--- /dev/null
+++ b/OneClassSVM.ipynb
@@ -0,0 +1,2806 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## One Class SVM Classification\n",
+    "\n",
+    "Classifies data as financially efficient or inefficient given training data of only efficient nonprofits. \n",
+    "\n",
+    "It defines a boundary based on the training data and classifies the data as positive(efficient) or negative(inefficient).\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Filename</th>\n",
+       "      <th>EIN</th>\n",
+       "      <th>Program_Exp</th>\n",
+       "      <th>Liabilities_To_Asset</th>\n",
+       "      <th>Working_Capital</th>\n",
+       "      <th>Surplus_Margin</th>\n",
+       "      <th>Total_Expenses</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>201523229349300327.xml</td>\n",
+       "      <td>510311790.0</td>\n",
+       "      <td>0.989619</td>\n",
+       "      <td>0.091802</td>\n",
+       "      <td>1.574677</td>\n",
+       "      <td>-0.078663</td>\n",
+       "      <td>464318.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>201543089349301829.xml</td>\n",
+       "      <td>261460932.0</td>\n",
+       "      <td>0.965378</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>3.910347</td>\n",
+       "      <td>-0.042674</td>\n",
+       "      <td>27439.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>201533179349306298.xml</td>\n",
+       "      <td>270609504.0</td>\n",
+       "      <td>0.942276</td>\n",
+       "      <td>0.049206</td>\n",
+       "      <td>0.655152</td>\n",
+       "      <td>0.088597</td>\n",
+       "      <td>384828.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>201533209349304768.xml</td>\n",
+       "      <td>521548962.0</td>\n",
+       "      <td>0.384526</td>\n",
+       "      <td>0.000814</td>\n",
+       "      <td>30.392756</td>\n",
+       "      <td>0.633126</td>\n",
+       "      <td>50912.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>201533179349307343.xml</td>\n",
+       "      <td>731653383.0</td>\n",
+       "      <td>0.620560</td>\n",
+       "      <td>0.029487</td>\n",
+       "      <td>1.083739</td>\n",
+       "      <td>0.105901</td>\n",
+       "      <td>28123.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>201533189349300608.xml</td>\n",
+       "      <td>237324566.0</td>\n",
+       "      <td>0.758902</td>\n",
+       "      <td>0.736982</td>\n",
+       "      <td>-0.176215</td>\n",
+       "      <td>-0.003914</td>\n",
+       "      <td>608126.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>201523069349301367.xml</td>\n",
+       "      <td>43259150.0</td>\n",
+       "      <td>0.736312</td>\n",
+       "      <td>0.181998</td>\n",
+       "      <td>0.378592</td>\n",
+       "      <td>0.057534</td>\n",
+       "      <td>212968.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>201533069349300963.xml</td>\n",
+       "      <td>621273871.0</td>\n",
+       "      <td>0.644822</td>\n",
+       "      <td>0.234247</td>\n",
+       "      <td>14.413163</td>\n",
+       "      <td>0.496122</td>\n",
+       "      <td>1426413.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>201523099349300542.xml</td>\n",
+       "      <td>541897455.0</td>\n",
+       "      <td>0.845659</td>\n",
+       "      <td>0.138531</td>\n",
+       "      <td>0.414986</td>\n",
+       "      <td>-0.016769</td>\n",
+       "      <td>461512.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>201533099349301033.xml</td>\n",
+       "      <td>251869168.0</td>\n",
+       "      <td>0.762357</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>8.673984</td>\n",
+       "      <td>0.122244</td>\n",
+       "      <td>102044.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>201523169349304367.xml</td>\n",
+       "      <td>376046335.0</td>\n",
+       "      <td>0.745386</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>16.463976</td>\n",
+       "      <td>0.252579</td>\n",
+       "      <td>37170.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>201533099349301803.xml</td>\n",
+       "      <td>50454409.0</td>\n",
+       "      <td>0.915261</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>1.158768</td>\n",
+       "      <td>0.062649</td>\n",
+       "      <td>557347.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>201523069349300142.xml</td>\n",
+       "      <td>272364809.0</td>\n",
+       "      <td>0.920307</td>\n",
+       "      <td>0.003606</td>\n",
+       "      <td>0.240597</td>\n",
+       "      <td>-0.029663</td>\n",
+       "      <td>302061.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>201543039349301204.xml</td>\n",
+       "      <td>463812139.0</td>\n",
+       "      <td>0.664088</td>\n",
+       "      <td>0.648413</td>\n",
+       "      <td>0.045823</td>\n",
+       "      <td>0.088812</td>\n",
+       "      <td>139974.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>201523089349301462.xml</td>\n",
+       "      <td>561797737.0</td>\n",
+       "      <td>0.704623</td>\n",
+       "      <td>0.432671</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-0.050384</td>\n",
+       "      <td>214773.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>201533069349300788.xml</td>\n",
+       "      <td>590638867.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.360157</td>\n",
+       "      <td>-0.055883</td>\n",
+       "      <td>762522.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>201533079349300238.xml</td>\n",
+       "      <td>273314429.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.107584</td>\n",
+       "      <td>26171.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>201523209349314257.xml</td>\n",
+       "      <td>710801566.0</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>-8.212337</td>\n",
+       "      <td>1145333.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>201523209349311332.xml</td>\n",
+       "      <td>752204594.0</td>\n",
+       "      <td>0.896895</td>\n",
+       "      <td>0.069715</td>\n",
+       "      <td>0.535678</td>\n",
+       "      <td>-0.064100</td>\n",
+       "      <td>3889691.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>201533179349302173.xml</td>\n",
+       "      <td>251374594.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.313630</td>\n",
+       "      <td>0.337537</td>\n",
+       "      <td>0.014809</td>\n",
+       "      <td>423512.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>201533179349307048.xml</td>\n",
+       "      <td>450448773.0</td>\n",
+       "      <td>0.991205</td>\n",
+       "      <td>0.051348</td>\n",
+       "      <td>0.414930</td>\n",
+       "      <td>0.161552</td>\n",
+       "      <td>185894.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>201533209349302633.xml</td>\n",
+       "      <td>363789851.0</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.232011</td>\n",
+       "      <td>0.521133</td>\n",
+       "      <td>-0.128997</td>\n",
+       "      <td>7329143.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>201533099349301113.xml</td>\n",
+       "      <td>411712804.0</td>\n",
+       "      <td>0.477697</td>\n",
+       "      <td>0.009887</td>\n",
+       "      <td>0.751388</td>\n",
+       "      <td>-0.014507</td>\n",
+       "      <td>814720.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>201523039349300127.xml</td>\n",
+       "      <td>381557861.0</td>\n",
+       "      <td>0.832159</td>\n",
+       "      <td>0.063834</td>\n",
+       "      <td>2.988120</td>\n",
+       "      <td>0.170911</td>\n",
+       "      <td>1369609.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>201523079349301652.xml</td>\n",
+       "      <td>273741627.0</td>\n",
+       "      <td>0.945120</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.863663</td>\n",
+       "      <td>0.094985</td>\n",
+       "      <td>1234798.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>201533039349300813.xml</td>\n",
+       "      <td>411495321.0</td>\n",
+       "      <td>0.668161</td>\n",
+       "      <td>0.040796</td>\n",
+       "      <td>144.508488</td>\n",
+       "      <td>-0.139777</td>\n",
+       "      <td>1108143.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>201533139349300208.xml</td>\n",
+       "      <td>60666277.0</td>\n",
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+       "      <td>-0.296143</td>\n",
+       "      <td>19649432.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>201533069349301413.xml</td>\n",
+       "      <td>42616064.0</td>\n",
+       "      <td>0.951218</td>\n",
+       "      <td>0.338683</td>\n",
+       "      <td>0.178517</td>\n",
+       "      <td>0.041123</td>\n",
+       "      <td>33254203.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>201533079349300003.xml</td>\n",
+       "      <td>581651220.0</td>\n",
+       "      <td>0.910347</td>\n",
+       "      <td>0.026832</td>\n",
+       "      <td>0.945357</td>\n",
+       "      <td>-0.020293</td>\n",
+       "      <td>324797.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>201523069349300957.xml</td>\n",
+       "      <td>341496171.0</td>\n",
+       "      <td>0.850617</td>\n",
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+       "      <td>1.125712</td>\n",
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+       "      <td>672775.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75744</th>\n",
+       "      <td>201542929349301039.xml</td>\n",
+       "      <td>205158717.0</td>\n",
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+       "    <tr>\n",
+       "      <th>75745</th>\n",
+       "      <td>201542929349301104.xml</td>\n",
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+       "    <tr>\n",
+       "      <th>75746</th>\n",
+       "      <td>201542929349301204.xml</td>\n",
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+       "      <td>49480300.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75747</th>\n",
+       "      <td>201503109349302210.xml</td>\n",
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+       "    <tr>\n",
+       "      <th>75748</th>\n",
+       "      <td>201503109349302270.xml</td>\n",
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+       "    <tr>\n",
+       "      <th>75749</th>\n",
+       "      <td>201522549349300117.xml</td>\n",
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+       "    <tr>\n",
+       "      <th>75750</th>\n",
+       "      <td>201522549349300127.xml</td>\n",
+       "      <td>942763918.0</td>\n",
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+       "    <tr>\n",
+       "      <th>75751</th>\n",
+       "      <td>201522549349300142.xml</td>\n",
+       "      <td>453774366.0</td>\n",
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+       "      <th>75752</th>\n",
+       "      <td>201522549349300202.xml</td>\n",
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+       "      <td>201522549349300217.xml</td>\n",
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+       "      <th>75754</th>\n",
+       "      <td>201522549349300247.xml</td>\n",
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+       "      <th>75755</th>\n",
+       "      <td>201522549349300317.xml</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75756</th>\n",
+       "      <td>201522549349300322.xml</td>\n",
+       "      <td>274726130.0</td>\n",
+       "      <td>0.991514</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75757</th>\n",
+       "      <td>201503139349301280.xml</td>\n",
+       "      <td>810677279.0</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75758</th>\n",
+       "      <td>201503139349301285.xml</td>\n",
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+       "      <th>75759</th>\n",
+       "      <td>201503139349301295.xml</td>\n",
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+       "      <td>808.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75760</th>\n",
+       "      <td>201503139349301300.xml</td>\n",
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+       "      <th>75761</th>\n",
+       "      <td>201503139349301315.xml</td>\n",
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+       "      <th>75762</th>\n",
+       "      <td>201503139349301335.xml</td>\n",
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+       "      <td>0.874227</td>\n",
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+       "      <td>-0.024264</td>\n",
+       "      <td>691125.0</td>\n",
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+       "      <th>75763</th>\n",
+       "      <td>201503139349301400.xml</td>\n",
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+       "    <tr>\n",
+       "      <th>75764</th>\n",
+       "      <td>201503139349301405.xml</td>\n",
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+       "    <tr>\n",
+       "      <th>75765</th>\n",
+       "      <td>201513159349303976.xml</td>\n",
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+       "      <td>201513159349304006.xml</td>\n",
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+       "      <td>201513159349304021.xml</td>\n",
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+       "      <td>201513159349304046.xml</td>\n",
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+       "      <td>201513159349304051.xml</td>\n",
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+       "      <td>201513159349304061.xml</td>\n",
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+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>75279 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     Filename          EIN  Program_Exp  Liabilities_To_Asset  \\\n",
+       "0      201523229349300327.xml  510311790.0     0.989619              0.091802   \n",
+       "1      201543089349301829.xml  261460932.0     0.965378              0.000000   \n",
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+       "12     201523069349300142.xml  272364809.0     0.920307              0.003606   \n",
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+       "14     201523089349301462.xml  561797737.0     0.704623              0.432671   \n",
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+       "23     201523039349300127.xml  381557861.0     0.832159              0.063834   \n",
+       "24     201523079349301652.xml  273741627.0     0.945120              0.000000   \n",
+       "25     201533039349300813.xml  411495321.0     0.668161              0.040796   \n",
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+       "27     201533069349301413.xml   42616064.0     0.951218              0.338683   \n",
+       "28     201533079349300003.xml  581651220.0     0.910347              0.026832   \n",
+       "29     201523069349300957.xml  341496171.0     0.850617              0.068838   \n",
+       "...                       ...          ...          ...                   ...   \n",
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+       "75748  201503109349302270.xml  741718905.0     0.000000              0.444349   \n",
+       "75749  201522549349300117.xml  150249365.0     0.000000              0.000000   \n",
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+       "75752  201522549349300202.xml  860507921.0     0.751038              0.256169   \n",
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+       "75757  201503139349301280.xml  810677279.0     0.564601              0.016695   \n",
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+       "75762  201503139349301335.xml   20530732.0     0.796464              0.874227   \n",
+       "75763  201503139349301400.xml   60668594.0     0.858908              0.183348   \n",
+       "75764  201503139349301405.xml  570884504.0     0.960711              0.202614   \n",
+       "75765  201513159349303976.xml  911075950.0     0.912792              0.112852   \n",
+       "75766  201513159349303991.xml  450537391.0     0.882861              1.000000   \n",
+       "75767  201513159349304006.xml  630985623.0     1.000000              0.164163   \n",
+       "75768  201513159349304021.xml  930854620.0     0.221201              0.000121   \n",
+       "75769  201513159349304046.xml  263218152.0     0.661838              0.163034   \n",
+       "75770  201513159349304051.xml  520887806.0     0.819248              0.417553   \n",
+       "75771  201513159349304061.xml  942608741.0     0.893704              0.009907   \n",
+       "75772  201513159349304071.xml  330841281.0     0.807812              0.342269   \n",
+       "75773  201513159349304076.xml  570751500.0     0.887786              0.415570   \n",
+       "\n",
+       "       Working_Capital  Surplus_Margin  Total_Expenses  \n",
+       "0             1.574677       -0.078663        464318.0  \n",
+       "1             3.910347       -0.042674         27439.0  \n",
+       "2             0.655152        0.088597        384828.0  \n",
+       "3            30.392756        0.633126         50912.0  \n",
+       "4             1.083739        0.105901         28123.0  \n",
+       "5            -0.176215       -0.003914        608126.0  \n",
+       "6             0.378592        0.057534        212968.0  \n",
+       "7            14.413163        0.496122       1426413.0  \n",
+       "8             0.414986       -0.016769        461512.0  \n",
+       "9             8.673984        0.122244        102044.0  \n",
+       "10           16.463976        0.252579         37170.0  \n",
+       "11            1.158768        0.062649        557347.0  \n",
+       "12            0.240597       -0.029663        302061.0  \n",
+       "13            0.045823        0.088812        139974.0  \n",
+       "14            0.000000       -0.050384        214773.0  \n",
+       "15            0.360157       -0.055883        762522.0  \n",
+       "16            0.000000        0.107584         26171.0  \n",
+       "17            0.000000       -8.212337       1145333.0  \n",
+       "18            0.535678       -0.064100       3889691.0  \n",
+       "19            0.337537        0.014809        423512.0  \n",
+       "20            0.414930        0.161552        185894.0  \n",
+       "21            0.521133       -0.128997       7329143.0  \n",
+       "22            0.751388       -0.014507        814720.0  \n",
+       "23            2.988120        0.170911       1369609.0  \n",
+       "24            0.863663        0.094985       1234798.0  \n",
+       "25          144.508488       -0.139777       1108143.0  \n",
+       "26            0.654848       -0.296143      19649432.0  \n",
+       "27            0.178517        0.041123      33254203.0  \n",
+       "28            0.945357       -0.020293        324797.0  \n",
+       "29            1.125712        0.212899        672775.0  \n",
+       "...                ...             ...             ...  \n",
+       "75744         0.496350        0.000000         52195.0  \n",
+       "75745         2.673444       -0.075404       3921954.0  \n",
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+       "75773         8.571501        0.063448       1610096.0  \n",
+       "\n",
+       "[75279 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 1,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "\n",
+    "df1=pd.read_csv('team_out_1.csv')\n",
+    "df2=pd.read_csv('team_out_a2.csv')\n",
+    "df3=pd.read_csv('team_out_a3.csv')\n",
+    "df4=pd.read_csv('team_out_Yash.csv')\n",
+    "df5=pd.read_csv('team_out_Yash_part1.csv')\n",
+    "\n",
+    "\n",
+    "df=df1.append(df2)\n",
+    "df=df.append(df3)\n",
+    "df=df.append(df4)\n",
+    "df=df.append(df5)\n",
+    "\n",
+    "\n",
+    "df.dropna(inplace=True)\n",
+    "df.reset_index(inplace=True,drop=True)\n",
+    "df=df[df.Total_Expenses>0]\n",
+    "df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 634,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Filename</th>\n",
+       "      <th>EIN</th>\n",
+       "      <th>Program_Exp</th>\n",
+       "      <th>Liabilities_To_Asset</th>\n",
+       "      <th>Working_Capital</th>\n",
+       "      <th>Surplus_Margin</th>\n",
+       "      <th>Total_Expenses</th>\n",
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+       "  <tbody>\n",
+       "    <tr>\n",
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+       "      <td>-3.008420</td>\n",
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+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                     Filename          EIN  Program_Exp  Liabilities_To_Asset  \\\n",
+       "1545   201502579349301175.xml  200141248.0     1.142607              0.770354   \n",
+       "5627   201512949349301306.xml  542014609.0     1.013164              1.069741   \n",
+       "7960   201503359349300815.xml  273294817.0     1.010240              0.020753   \n",
+       "9800   201620279349300617.xml  550576920.0     1.006403              0.434611   \n",
+       "13111  201600949349300200.xml   10367116.0     1.003634              0.028478   \n",
+       "16056  201620629349300447.xml  542014609.0     1.013164              1.069741   \n",
+       "16692  201620419349300712.xml  311238139.0     1.053781              0.153538   \n",
+       "20638  201503169349304480.xml  363414823.0     9.982122              0.962854   \n",
+       "\n",
+       "       Working_Capital  Surplus_Margin  Total_Expenses  \n",
+       "1545          0.553360       -5.089240       1276722.0  \n",
+       "5627         -0.011601       -0.276276       1574232.0  \n",
+       "7960          0.857745        0.424186       5355301.0  \n",
+       "9800          0.073114        0.013669       1822040.0  \n",
+       "13111         1.075774       -0.117847       1179223.0  \n",
+       "16056        -0.011601       -0.276276       1574232.0  \n",
+       "16692        34.644571       -6.766196       2024744.0  \n",
+       "20638         0.224504       -3.008420       2118845.0  "
+      ]
+     },
+     "execution_count": 634,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[df.Program_Exp>1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/araeyusvakil/anaconda/lib/python3.5/site-packages/ipykernel/__main__.py:4: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
+      "/Users/araeyusvakil/anaconda/lib/python3.5/site-packages/ipykernel/__main__.py:7: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n"
+     ]
+    }
+   ],
+   "source": [
+    "small_df=df[df.Total_Expenses<1000000]\n",
+    "\n",
+    "med_df=df[df.Total_Expenses>1000000]\n",
+    "med_df=med_df[df.Total_Expenses<10000000]\n",
+    "\n",
+    "large_df=df[df.Total_Expenses<50000000]\n",
+    "large_df=large_df[df.Total_Expenses>10000000]\n",
+    "\n",
+    "national_df=df[df.Total_Expenses>50000000]\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "6054\n",
+      "%: 0.7381896266930955\n",
+      "NUMBER OF POSITIVE:  4469\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(len(large_df))\n",
+    "\n",
+    "pos_med=large_df[large_df.Program_Exp>.75]\n",
+    "# pos_med=pos_med[pos_med.Working_Capital>.01]\n",
+    "pos_med=pos_med[pos_med.Liabilities_To_Asset<1]\n",
+    "# pos_med=pos_med[pos_med.Surplus_Margin>.01]\n",
+    "\n",
+    "lst_temp=list(pos_med['EIN'])\n",
+    "print(\"%:\",len(lst_temp)/len(large_df))\n",
+    "print(\"NUMBER OF POSITIVE: \",len(lst_temp))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "NUMBER OF MED:  23589\n",
+      "%: 0.3620755436856162\n",
+      "NUMBER OF POSITIVE:  8541\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"NUMBER OF MED: \",len(med_df))\n",
+    "\n",
+    "pos_med=med_df[med_df.Program_Exp>.75]\n",
+    "pos_med=pos_med[pos_med.Working_Capital>.01]\n",
+    "pos_med=pos_med[pos_med.Liabilities_To_Asset<1]\n",
+    "pos_med=pos_med[pos_med.Surplus_Margin>.01]\n",
+    "# \n",
+    "\n",
+    "lst_temp=list(pos_med['EIN'])\n",
+    "print(\"%:\",len(lst_temp)/len(med_df))\n",
+    "print(\"NUMBER OF POSITIVE: \",len(lst_temp))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2203\n",
+      "%: 0.7330912392192465\n",
+      "1615\n"
+     ]
+    }
+   ],
+   "source": [
+    "eff_nat_df=national_df[national_df.Program_Exp>.8]\n",
+    "# eff_nat_df=eff_nat_df[eff_nat_df.Working_Capital>.1]\n",
+    "eff_nat_df=eff_nat_df[eff_nat_df.Liabilities_To_Asset<1]\n",
+    "# eff_nat_df=eff_nat_df[eff_nat_df.Surplus_Margin>.1]\n",
+    "\n",
+    "print(len(national_df))\n",
+    "lst_temp=list(eff_nat_df['EIN'])\n",
+    "print(\"%:\",len(lst_temp)/len(national_df))\n",
+    "print(len(lst_temp))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "NUMBER OF SMALL:  43433\n",
+      "%: 0.6999516496673036\n",
+      "NUMBER OF POSITIVE:  30401\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"NUMBER OF SMALL: \",len(small_df))\n",
+    "\n",
+    "pos_small=small_df[small_df.Program_Exp>.5]\n",
+    "# pos_small=pos_small[pos_small.Working_Capital>.5]\n",
+    "pos_small=pos_small[pos_small.Liabilities_To_Asset<.5]\n",
+    "# pos_small=pos_small[pos_small.Surplus_Margin>.2]\n",
+    "lst_temp=list(pos_small['EIN'])\n",
+    "\n",
+    "print(\"%:\",len(lst_temp)/len(small_df))\n",
+    "print(\"NUMBER OF POSITIVE: \",len(lst_temp))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "df=national_df #CHANGE THIS TO REQUIRED SIZE AND RUN REST OF THE CODE AS IS"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
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+       "      <th>Surplus_Margin</th>\n",
+       "      <th>Total_Expenses</th>\n",
+       "      <th>Filename</th>\n",
+       "    </tr>\n",
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+       "      <td>201513109349300736.xml</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2203 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "             Program_Exp  Liabilities_To_Asset  Working_Capital  \\\n",
+       "EIN                                                               \n",
+       "620497990.0     0.711697              0.285976         0.121912   \n",
+       "621674308.0     0.876123              0.285762         0.095081   \n",
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+       "203238867.0     0.936855              0.287854         0.078382   \n",
+       "...                  ...                   ...              ...   \n",
+       "131921358.0     0.784374              0.285912         0.149928   \n",
+       "131740122.0     0.809940              0.286692         0.097239   \n",
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+       "610523304.0     0.835605              0.286091         0.112672   \n",
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+       "350868085.0     0.823389              0.286823         0.095199   \n",
+       "\n",
+       "             Surplus_Margin  Total_Expenses                Filename  \n",
+       "EIN                                                                  \n",
+       "620497990.0        0.207680        0.000182  201533179349305948.xml  \n",
+       "621674308.0        0.207096        0.002472  201533179349300543.xml  \n",
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+       "203238867.0        0.205098        0.008632  201513079349300746.xml  \n",
+       "...                     ...             ...                     ...  \n",
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+       "950743320.0        0.220568        0.001429  201523209349306452.xml  \n",
+       "221750190.0        0.206673        0.019195  201542929349301029.xml  \n",
+       "112458584.0        0.203641        0.001476  201502939349301250.xml  \n",
+       "363992031.0        0.205098        0.009181  201503149349302640.xml  \n",
+       "953797687.0        0.228175        0.013651  201513159349303306.xml  \n",
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+       "231857015.0        0.193543        0.015721  201513159349300131.xml  \n",
+       "410698301.0        0.209535        0.005620  201503159349302510.xml  \n",
+       "310929576.0        0.211853        0.007642  201513109349301611.xml  \n",
+       "350868085.0        0.204861        0.067859  201513109349300736.xml  \n",
+       "\n",
+       "[2203 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df.reset_index(drop=True,inplace=True)\n",
+    "norm_df=df.copy()\n",
+    "\n",
+    "norm_df=norm_df[['Program_Exp','Liabilities_To_Asset','Working_Capital','Surplus_Margin','Total_Expenses']]\n",
+    "\n",
+    "from sklearn import preprocessing\n",
+    "\n",
+    "x = norm_df.values #returns a numpy array\n",
+    "min_max_scaler = preprocessing.MinMaxScaler()\n",
+    "x_scaled = min_max_scaler.fit_transform(x)\n",
+    "norm_df = pd.DataFrame(x_scaled)\n",
+    "norm_df[\"Filename\"]=df['Filename']\n",
+    "\n",
+    "norm_df[\"EIN\"]=df['EIN']\n",
+    "norm_df.columns=['Program_Exp','Liabilities_To_Asset','Working_Capital','Surplus_Margin','Total_Expenses','Filename','EIN']\n",
+    "norm_df.set_index('EIN',inplace=True)\n",
+    "norm_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {
+    "collapsed": false,
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[-1.  1.  1. ...,  1. -1.  1.]\n",
+      "(1101, 2)\n",
+      "(1101, 2) (1101, 2)\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/Users/araeyusvakil/anaconda/lib/python3.5/site-packages/ipykernel/__main__.py:3: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
+      "Try using .loc[row_indexer,col_indexer] = value instead\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
+      "  app.launch_new_instance()\n",
+      "/Users/araeyusvakil/anaconda/lib/python3.5/site-packages/ipykernel/__main__.py:7: SettingWithCopyWarning: \n",
+      "A value is trying to be set on a copy of a slice from a DataFrame\n",
+      "\n",
+      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
+     ]
+    }
+   ],
+   "source": [
+    "Y_class_df = pd.DataFrame()\n",
+    "X_class_df=norm_df.loc[lst_temp]\n",
+    "X_class_df['Efficiency'] = 1\n",
+    "\n",
+    "\n",
+    "Y_class_df['Efficiency'] = X_class_df['Efficiency'] \n",
+    "X_class_df.drop('Efficiency', axis=1, inplace=True)\n",
+    "\n",
+    "\n",
+    "new_df=norm_df[['Program_Exp','Liabilities_To_Asset','Working_Capital','Surplus_Margin']]\n",
+    "X_class_df=X_class_df[['Program_Exp','Liabilities_To_Asset','Working_Capital','Surplus_Margin']]\n",
+    "# X_class_df=X_class_df.drop(X_class_df.index[2])   #OUTLIER REMOVER\n",
+    "X_class_df.reset_index(inplace=True,drop=True)\n",
+    "\n",
+    "%matplotlib inline\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib.font_manager\n",
+    "from sklearn import svm\n",
+    "from scipy import stats\n",
+    "from mpl_toolkits.mplot3d import Axes3D\n",
+    "\n",
+    "from sklearn.decomposition import TruncatedSVD\n",
+    "\n",
+    "svd = TruncatedSVD(n_components=2, n_iter=7)\n",
+    "reduced_df = svd.fit_transform(new_df)\n",
+    "\n",
+    "#svd2 = TruncatedSVD(n_components=2, n_iter=7)\n",
+    "X_classtrain_df = svd.fit_transform(X_class_df)\n",
+    "\n",
+    "\n",
+    "'''outliers_fraction = 0.25'''\n",
+    "#colors = ['m', 'g', 'b']\n",
+    "clf = svm.OneClassSVM(nu=0.1, kernel=\"linear\", gamma=.01,coef0=1.5)\n",
+    "clf.fit(X_classtrain_df)\n",
+    "#y_pred_test = clf.predict(normalized_df)\n",
+    "#print(y_pred_test)\n",
+    "Z1 = clf.predict(reduced_df)\n",
+    "res_matrix=Z1\n",
+    "print(res_matrix)\n",
+    "#print(reduced_df.shape)\n",
+    "\n",
+    "if Z1.shape[0]%2==1:\n",
+    "    Z1=Z1[:-1]\n",
+    "temp_Z1=Z1\n",
+    "Z1 = Z1.reshape((-1,2))\n",
+    "print(Z1.shape)\n",
+    "xx1 = []\n",
+    "yy1= []\n",
+    "for i in reduced_df:\n",
+    "    xx1.append(i[0])\n",
+    "    yy1.append(i[1])\n",
+    "x1 = np.asarray(xx1)\n",
+    "y1 = np.asarray(yy1)\n",
+    "temp_y1=y1\n",
+    "temp_x1=x1\n",
+    "if len(x1)%2==1: #IS ODD:\n",
+    "    x1=x1[:-1]\n",
+    "if len(y1)%2==1:\n",
+    "    y1=y1[:-1]\n",
+    "x1 = x1.reshape((-1,2))\n",
+    "y1 = y1.reshape((-1,2))\n",
+    "print(x1.shape,y1.shape)\n",
+    "\n",
+    "# plt.figure(0)\n",
+    "# plt.contourf(reduced_df[0:Z1.shape[0]], reduced_df[Z1.shape[0]:len(res_matrix)-1], Z1,cmap=plt.cm.coolwarm)\n",
+    "# plt.figure(1)\n",
+    "# plt.contourf(x1, y1, Z1)\n",
+    "\n",
+    "# fig = plt.figure()\n",
+    "# ax = fig.add_subplot(111, projection='3d')\n",
+    "# ax.contourf(x1,y1,Z1)\n",
+    "\n",
+    "# fig = plt.figure()\n",
+    "# ax = fig.add_subplot(111, projection='3d')\n",
+    "# ax.contour(reduced_df[0:Z1.shape[0]], reduced_df[Z1.shape[0]:len(res_matrix)-1], Z1,cmap=plt.cm.coolwarm)\n",
+    "\n",
+    "# fig = plt.figure()\n",
+    "# ax = fig.add_subplot(111, projection='3d')\n",
+    "# ax.plot_trisurf(temp_x1,temp_y1, temp_Z1,cmap=plt.cm.coolwarm)\n",
+    "# # #plt.scatter(X_class_df.as_matrix()[:, 0], X_class_df.as_matrix()[:, 1], color='black')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "623\n",
+      "0.28279618701770315\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Filename</th>\n",
+       "      <th>EIN</th>\n",
+       "      <th>Program_Exp</th>\n",
+       "      <th>Liabilities_To_Asset</th>\n",
+       "      <th>Working_Capital</th>\n",
+       "      <th>Surplus_Margin</th>\n",
+       "      <th>Total_Expenses</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>201533179349305948.xml</td>\n",
+       "      <td>6.20498e+08</td>\n",
+       "      <td>0.718528</td>\n",
+       "      <td>0.286403</td>\n",
+       "      <td>1.05705</td>\n",
+       "      <td>0.0290296</td>\n",
+       "      <td>5.19174e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>201523209349313822.xml</td>\n",
+       "      <td>5.10217e+08</td>\n",
+       "      <td>0.708349</td>\n",
+       "      <td>0.912501</td>\n",
+       "      <td>0.345514</td>\n",
+       "      <td>-0.120347</td>\n",
+       "      <td>1.71046e+09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>201523209349311657.xml</td>\n",
+       "      <td>9.53766e+08</td>\n",
+       "      <td>0.736663</td>\n",
+       "      <td>0.494316</td>\n",
+       "      <td>0.338249</td>\n",
+       "      <td>0.0133821</td>\n",
+       "      <td>7.90507e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>201503089349300305.xml</td>\n",
+       "      <td>1.31628e+08</td>\n",
+       "      <td>0.712002</td>\n",
+       "      <td>0.170064</td>\n",
+       "      <td>3.66207</td>\n",
+       "      <td>0.126429</td>\n",
+       "      <td>6.4757e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>201503039349300965.xml</td>\n",
+       "      <td>4.62135e+08</td>\n",
+       "      <td>0.755575</td>\n",
+       "      <td>0.159723</td>\n",
+       "      <td>0.416034</td>\n",
+       "      <td>0.130444</td>\n",
+       "      <td>5.48697e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>201533169349301178.xml</td>\n",
+       "      <td>3.44428e+08</td>\n",
+       "      <td>0.785929</td>\n",
+       "      <td>0.575837</td>\n",
+       "      <td>0.836588</td>\n",
+       "      <td>-0.0709181</td>\n",
+       "      <td>2.23198e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>201503099349301210.xml</td>\n",
+       "      <td>5.3024e+08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.631953</td>\n",
+       "      <td>0.865902</td>\n",
+       "      <td>-0.162997</td>\n",
+       "      <td>5.30245e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>201513089349300006.xml</td>\n",
+       "      <td>5.21209e+08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.0808</td>\n",
+       "      <td>-0.0679868</td>\n",
+       "      <td>-0.172903</td>\n",
+       "      <td>5.03023e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>201503099349300710.xml</td>\n",
+       "      <td>3.11668e+08</td>\n",
+       "      <td>0.720145</td>\n",
+       "      <td>0.384355</td>\n",
+       "      <td>0.701484</td>\n",
+       "      <td>0.057791</td>\n",
+       "      <td>2.10115e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>201513099349301401.xml</td>\n",
+       "      <td>2.22325e+08</td>\n",
+       "      <td>0.754058</td>\n",
+       "      <td>0.384388</td>\n",
+       "      <td>0.943859</td>\n",
+       "      <td>-0.138272</td>\n",
+       "      <td>1.78473e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>201503079349301165.xml</td>\n",
+       "      <td>5.30215e+08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.211201</td>\n",
+       "      <td>1.33458</td>\n",
+       "      <td>0.177553</td>\n",
+       "      <td>1.51622e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>201523209349309137.xml</td>\n",
+       "      <td>5.91093e+08</td>\n",
+       "      <td>0.725863</td>\n",
+       "      <td>0.252772</td>\n",
+       "      <td>1.40097</td>\n",
+       "      <td>-0.00895469</td>\n",
+       "      <td>1.01897e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>201533169349302458.xml</td>\n",
+       "      <td>7.1025e+08</td>\n",
+       "      <td>0.809637</td>\n",
+       "      <td>0.35022</td>\n",
+       "      <td>0.774675</td>\n",
+       "      <td>0.0432484</td>\n",
+       "      <td>1.43938e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>201533169349301973.xml</td>\n",
+       "      <td>9.30603e+08</td>\n",
+       "      <td>0.754009</td>\n",
+       "      <td>0.392576</td>\n",
+       "      <td>0.815902</td>\n",
+       "      <td>0.0945209</td>\n",
+       "      <td>6.09807e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>201533169349304798.xml</td>\n",
+       "      <td>3.8149e+08</td>\n",
+       "      <td>0.769776</td>\n",
+       "      <td>0.611598</td>\n",
+       "      <td>0.265935</td>\n",
+       "      <td>-0.0114639</td>\n",
+       "      <td>5.74491e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>201523149349301217.xml</td>\n",
+       "      <td>5.36e+08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.5614</td>\n",
+       "      <td>-0.262408</td>\n",
+       "      <td>-0.104865</td>\n",
+       "      <td>6.15463e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>201532579349301178.xml</td>\n",
+       "      <td>9.10567e+08</td>\n",
+       "      <td>0.709724</td>\n",
+       "      <td>0.483338</td>\n",
+       "      <td>0.328049</td>\n",
+       "      <td>-0.0133592</td>\n",
+       "      <td>4.01986e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>201512879349300501.xml</td>\n",
+       "      <td>1.3174e+08</td>\n",
+       "      <td>0.762818</td>\n",
+       "      <td>0.864261</td>\n",
+       "      <td>0.140138</td>\n",
+       "      <td>-0.416101</td>\n",
+       "      <td>7.25797e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>201532579349300048.xml</td>\n",
+       "      <td>3.70661e+08</td>\n",
+       "      <td>0.813327</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-0.218477</td>\n",
+       "      <td>6.60125e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>201512999349300926.xml</td>\n",
+       "      <td>4.11294e+08</td>\n",
+       "      <td>0.717965</td>\n",
+       "      <td>0.755306</td>\n",
+       "      <td>0.154674</td>\n",
+       "      <td>-0.113958</td>\n",
+       "      <td>1.06079e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>201522879349300742.xml</td>\n",
+       "      <td>7.41031e+08</td>\n",
+       "      <td>0.776701</td>\n",
+       "      <td>0.41779</td>\n",
+       "      <td>3.76126</td>\n",
+       "      <td>0.359146</td>\n",
+       "      <td>6.6327e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>201512869349301651.xml</td>\n",
+       "      <td>9.51644e+08</td>\n",
+       "      <td>0.754632</td>\n",
+       "      <td>0.0450512</td>\n",
+       "      <td>3.57331</td>\n",
+       "      <td>0.184016</td>\n",
+       "      <td>7.30474e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>201513029349301001.xml</td>\n",
+       "      <td>3.40754e+08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.175973</td>\n",
+       "      <td>1.08541</td>\n",
+       "      <td>-0.0214025</td>\n",
+       "      <td>6.6673e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>201503019349300920.xml</td>\n",
+       "      <td>5.302e+08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.600912</td>\n",
+       "      <td>0.0957989</td>\n",
+       "      <td>0.0866492</td>\n",
+       "      <td>2.65447e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>201513029349301666.xml</td>\n",
+       "      <td>5.70752e+08</td>\n",
+       "      <td>0.914972</td>\n",
+       "      <td>-106.882</td>\n",
+       "      <td>-0.308261</td>\n",
+       "      <td>-0.0189246</td>\n",
+       "      <td>1.21089e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>201542999349301319.xml</td>\n",
+       "      <td>5.91378e+08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>3.55804</td>\n",
+       "      <td>-0.125547</td>\n",
+       "      <td>6.12861e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>201532879349300843.xml</td>\n",
+       "      <td>5.22001e+08</td>\n",
+       "      <td>0.661161</td>\n",
+       "      <td>1.30181</td>\n",
+       "      <td>-1.14255</td>\n",
+       "      <td>-0.137308</td>\n",
+       "      <td>6.65748e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>201532759349300858.xml</td>\n",
+       "      <td>6.10582e+07</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.622961</td>\n",
+       "      <td>0.170884</td>\n",
+       "      <td>-0.0234945</td>\n",
+       "      <td>5.50081e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>201502759349300960.xml</td>\n",
+       "      <td>8.40399e+08</td>\n",
+       "      <td>0.790303</td>\n",
+       "      <td>0.0723272</td>\n",
+       "      <td>1.81102</td>\n",
+       "      <td>0.0923665</td>\n",
+       "      <td>9.13628e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>201502549349300340.xml</td>\n",
+       "      <td>2.0233e+08</td>\n",
+       "      <td>0.71991</td>\n",
+       "      <td>0.458081</td>\n",
+       "      <td>0.148249</td>\n",
+       "      <td>-0.017762</td>\n",
+       "      <td>5.85896e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>593</th>\n",
+       "      <td>201533209349302483.xml</td>\n",
+       "      <td>2.26106e+08</td>\n",
+       "      <td>0.814969</td>\n",
+       "      <td>0.429315</td>\n",
+       "      <td>0.678336</td>\n",
+       "      <td>0.00955411</td>\n",
+       "      <td>8.51476e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>594</th>\n",
+       "      <td>201533209349302408.xml</td>\n",
+       "      <td>7.50055e+08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.797782</td>\n",
+       "      <td>0.0947192</td>\n",
+       "      <td>0.00844842</td>\n",
+       "      <td>1.20344e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>595</th>\n",
+       "      <td>201533209349302513.xml</td>\n",
+       "      <td>3.40715e+08</td>\n",
+       "      <td>0.820203</td>\n",
+       "      <td>0.219401</td>\n",
+       "      <td>0.511917</td>\n",
+       "      <td>-0.0535056</td>\n",
+       "      <td>4.48244e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>596</th>\n",
+       "      <td>201543179349304149.xml</td>\n",
+       "      <td>1.31628e+08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.368225</td>\n",
+       "      <td>0.402565</td>\n",
+       "      <td>0.105538</td>\n",
+       "      <td>1.41531e+09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>597</th>\n",
+       "      <td>201523209349302112.xml</td>\n",
+       "      <td>1.31624e+08</td>\n",
+       "      <td>0.715179</td>\n",
+       "      <td>0.372468</td>\n",
+       "      <td>0.402557</td>\n",
+       "      <td>0.0501937</td>\n",
+       "      <td>1.85365e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>598</th>\n",
+       "      <td>201523209349302152.xml</td>\n",
+       "      <td>6.11649e+08</td>\n",
+       "      <td>0.813336</td>\n",
+       "      <td>0.102526</td>\n",
+       "      <td>1.03773</td>\n",
+       "      <td>0.108744</td>\n",
+       "      <td>3.5946e+09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>599</th>\n",
+       "      <td>201513209349313236.xml</td>\n",
+       "      <td>9.42736e+08</td>\n",
+       "      <td>0.789357</td>\n",
+       "      <td>0.741644</td>\n",
+       "      <td>2.06452</td>\n",
+       "      <td>-0.102984</td>\n",
+       "      <td>7.83482e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>600</th>\n",
+       "      <td>201523179349306007.xml</td>\n",
+       "      <td>2.51494e+08</td>\n",
+       "      <td>0.781912</td>\n",
+       "      <td>0.585004</td>\n",
+       "      <td>0.469064</td>\n",
+       "      <td>-0.0627935</td>\n",
+       "      <td>6.3717e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>601</th>\n",
+       "      <td>201523209349302462.xml</td>\n",
+       "      <td>5.60928e+08</td>\n",
+       "      <td>0.813337</td>\n",
+       "      <td>0.053122</td>\n",
+       "      <td>1.01091</td>\n",
+       "      <td>0.0587995</td>\n",
+       "      <td>1.06149e+09</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>602</th>\n",
+       "      <td>201513209349311296.xml</td>\n",
+       "      <td>9.11915e+08</td>\n",
+       "      <td>0.795897</td>\n",
+       "      <td>0.35823</td>\n",
+       "      <td>0.429839</td>\n",
+       "      <td>-0.0198883</td>\n",
+       "      <td>2.59222e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>603</th>\n",
+       "      <td>201523179349303937.xml</td>\n",
+       "      <td>1.3174e+08</td>\n",
+       "      <td>0.78755</td>\n",
+       "      <td>0.989647</td>\n",
+       "      <td>0.00417253</td>\n",
+       "      <td>0.00412562</td>\n",
+       "      <td>2.15966e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>604</th>\n",
+       "      <td>201522939349300957.xml</td>\n",
+       "      <td>8.50313e+08</td>\n",
+       "      <td>0.686283</td>\n",
+       "      <td>0.6969</td>\n",
+       "      <td>0.150211</td>\n",
+       "      <td>-0.0509705</td>\n",
+       "      <td>5.50494e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>605</th>\n",
+       "      <td>201512959349300826.xml</td>\n",
+       "      <td>3.91028e+08</td>\n",
+       "      <td>0.812847</td>\n",
+       "      <td>0.520239</td>\n",
+       "      <td>0.555575</td>\n",
+       "      <td>-0.0204222</td>\n",
+       "      <td>2.02017e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>606</th>\n",
+       "      <td>201523209349300522.xml</td>\n",
+       "      <td>5.21572e+08</td>\n",
+       "      <td>0.791724</td>\n",
+       "      <td>0.252599</td>\n",
+       "      <td>0.604276</td>\n",
+       "      <td>-0.0712481</td>\n",
+       "      <td>1.01498e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>607</th>\n",
+       "      <td>201523179349303117.xml</td>\n",
+       "      <td>7.52679e+08</td>\n",
+       "      <td>0.810856</td>\n",
+       "      <td>-0.102514</td>\n",
+       "      <td>0.812838</td>\n",
+       "      <td>0.176805</td>\n",
+       "      <td>1.97308e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>608</th>\n",
+       "      <td>201503109349302150.xml</td>\n",
+       "      <td>3.51968e+08</td>\n",
+       "      <td>0.818064</td>\n",
+       "      <td>0.467783</td>\n",
+       "      <td>0.692742</td>\n",
+       "      <td>0.204341</td>\n",
+       "      <td>5.2751e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>609</th>\n",
+       "      <td>201503109349301980.xml</td>\n",
+       "      <td>2.50818e+08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.912927</td>\n",
+       "      <td>0.150872</td>\n",
+       "      <td>0.161203</td>\n",
+       "      <td>3.97704e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>610</th>\n",
+       "      <td>201503169349302405.xml</td>\n",
+       "      <td>1.31921e+08</td>\n",
+       "      <td>0.791903</td>\n",
+       "      <td>0.262411</td>\n",
+       "      <td>1.73669</td>\n",
+       "      <td>0.112463</td>\n",
+       "      <td>5.88801e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>611</th>\n",
+       "      <td>201522949349300642.xml</td>\n",
+       "      <td>1.3174e+08</td>\n",
+       "      <td>0.817714</td>\n",
+       "      <td>0.554476</td>\n",
+       "      <td>0.458523</td>\n",
+       "      <td>0.0734968</td>\n",
+       "      <td>3.49322e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>612</th>\n",
+       "      <td>201542939349300119.xml</td>\n",
+       "      <td>6.06468e+07</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.716109</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.153907</td>\n",
+       "      <td>7.14162e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>613</th>\n",
+       "      <td>201513139349302081.xml</td>\n",
+       "      <td>2.50965e+08</td>\n",
+       "      <td>0.796401</td>\n",
+       "      <td>0.995783</td>\n",
+       "      <td>0.00705749</td>\n",
+       "      <td>-0.0335374</td>\n",
+       "      <td>7.21422e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>614</th>\n",
+       "      <td>201513149349301616.xml</td>\n",
+       "      <td>4.61057e+08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.803781</td>\n",
+       "      <td>1.43646</td>\n",
+       "      <td>0.159081</td>\n",
+       "      <td>2.72957e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>615</th>\n",
+       "      <td>201513209349310951.xml</td>\n",
+       "      <td>3.11551e+08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.14522</td>\n",
+       "      <td>-0.166949</td>\n",
+       "      <td>0.016306</td>\n",
+       "      <td>8.22896e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>616</th>\n",
+       "      <td>201523209349303667.xml</td>\n",
+       "      <td>2.37386e+08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.219072</td>\n",
+       "      <td>0.584131</td>\n",
+       "      <td>0.13376</td>\n",
+       "      <td>8.96363e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>617</th>\n",
+       "      <td>201523209349306452.xml</td>\n",
+       "      <td>9.50743e+08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0200564</td>\n",
+       "      <td>4.18802</td>\n",
+       "      <td>0.173939</td>\n",
+       "      <td>6.48187e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>618</th>\n",
+       "      <td>201542929349301029.xml</td>\n",
+       "      <td>2.2175e+08</td>\n",
+       "      <td>0.810727</td>\n",
+       "      <td>0.454894</td>\n",
+       "      <td>0.820908</td>\n",
+       "      <td>0.0177089</td>\n",
+       "      <td>2.48663e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>619</th>\n",
+       "      <td>201503149349302640.xml</td>\n",
+       "      <td>3.63992e+08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1.4504e+08</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>620</th>\n",
+       "      <td>201513149349302391.xml</td>\n",
+       "      <td>1.11673e+08</td>\n",
+       "      <td>0.79553</td>\n",
+       "      <td>0.782778</td>\n",
+       "      <td>0.372043</td>\n",
+       "      <td>0.0982956</td>\n",
+       "      <td>5.73239e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>621</th>\n",
+       "      <td>201503169349303705.xml</td>\n",
+       "      <td>3.96084e+08</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.00941891</td>\n",
+       "      <td>3.57195</td>\n",
+       "      <td>0.0725725</td>\n",
+       "      <td>9.79746e+07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>622</th>\n",
+       "      <td>201513109349301611.xml</td>\n",
+       "      <td>3.1093e+08</td>\n",
+       "      <td>0.729515</td>\n",
+       "      <td>0.357613</td>\n",
+       "      <td>0.680361</td>\n",
+       "      <td>0.0759516</td>\n",
+       "      <td>1.29112e+08</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>623 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   Filename          EIN Program_Exp Liabilities_To_Asset  \\\n",
+       "0    201533179349305948.xml  6.20498e+08    0.718528             0.286403   \n",
+       "1    201523209349313822.xml  5.10217e+08    0.708349             0.912501   \n",
+       "2    201523209349311657.xml  9.53766e+08    0.736663             0.494316   \n",
+       "3    201503089349300305.xml  1.31628e+08    0.712002             0.170064   \n",
+       "4    201503039349300965.xml  4.62135e+08    0.755575             0.159723   \n",
+       "5    201533169349301178.xml  3.44428e+08    0.785929             0.575837   \n",
+       "6    201503099349301210.xml   5.3024e+08           0             0.631953   \n",
+       "7    201513089349300006.xml  5.21209e+08           0               1.0808   \n",
+       "8    201503099349300710.xml  3.11668e+08    0.720145             0.384355   \n",
+       "9    201513099349301401.xml  2.22325e+08    0.754058             0.384388   \n",
+       "10   201503079349301165.xml  5.30215e+08           0             0.211201   \n",
+       "11   201523209349309137.xml  5.91093e+08    0.725863             0.252772   \n",
+       "12   201533169349302458.xml   7.1025e+08    0.809637              0.35022   \n",
+       "13   201533169349301973.xml  9.30603e+08    0.754009             0.392576   \n",
+       "14   201533169349304798.xml   3.8149e+08    0.769776             0.611598   \n",
+       "15   201523149349301217.xml     5.36e+08           0               1.5614   \n",
+       "16   201532579349301178.xml  9.10567e+08    0.709724             0.483338   \n",
+       "17   201512879349300501.xml   1.3174e+08    0.762818             0.864261   \n",
+       "18   201532579349300048.xml  3.70661e+08    0.813327                    0   \n",
+       "19   201512999349300926.xml  4.11294e+08    0.717965             0.755306   \n",
+       "20   201522879349300742.xml  7.41031e+08    0.776701              0.41779   \n",
+       "21   201512869349301651.xml  9.51644e+08    0.754632            0.0450512   \n",
+       "22   201513029349301001.xml  3.40754e+08           0             0.175973   \n",
+       "23   201503019349300920.xml    5.302e+08           0             0.600912   \n",
+       "24   201513029349301666.xml  5.70752e+08    0.914972             -106.882   \n",
+       "25   201542999349301319.xml  5.91378e+08           0                    0   \n",
+       "26   201532879349300843.xml  5.22001e+08    0.661161              1.30181   \n",
+       "27   201532759349300858.xml  6.10582e+07           0             0.622961   \n",
+       "28   201502759349300960.xml  8.40399e+08    0.790303            0.0723272   \n",
+       "29   201502549349300340.xml   2.0233e+08     0.71991             0.458081   \n",
+       "..                      ...          ...         ...                  ...   \n",
+       "593  201533209349302483.xml  2.26106e+08    0.814969             0.429315   \n",
+       "594  201533209349302408.xml  7.50055e+08           0             0.797782   \n",
+       "595  201533209349302513.xml  3.40715e+08    0.820203             0.219401   \n",
+       "596  201543179349304149.xml  1.31628e+08           0             0.368225   \n",
+       "597  201523209349302112.xml  1.31624e+08    0.715179             0.372468   \n",
+       "598  201523209349302152.xml  6.11649e+08    0.813336             0.102526   \n",
+       "599  201513209349313236.xml  9.42736e+08    0.789357             0.741644   \n",
+       "600  201523179349306007.xml  2.51494e+08    0.781912             0.585004   \n",
+       "601  201523209349302462.xml  5.60928e+08    0.813337             0.053122   \n",
+       "602  201513209349311296.xml  9.11915e+08    0.795897              0.35823   \n",
+       "603  201523179349303937.xml   1.3174e+08     0.78755             0.989647   \n",
+       "604  201522939349300957.xml  8.50313e+08    0.686283               0.6969   \n",
+       "605  201512959349300826.xml  3.91028e+08    0.812847             0.520239   \n",
+       "606  201523209349300522.xml  5.21572e+08    0.791724             0.252599   \n",
+       "607  201523179349303117.xml  7.52679e+08    0.810856            -0.102514   \n",
+       "608  201503109349302150.xml  3.51968e+08    0.818064             0.467783   \n",
+       "609  201503109349301980.xml  2.50818e+08           0             0.912927   \n",
+       "610  201503169349302405.xml  1.31921e+08    0.791903             0.262411   \n",
+       "611  201522949349300642.xml   1.3174e+08    0.817714             0.554476   \n",
+       "612  201542939349300119.xml  6.06468e+07           0             0.716109   \n",
+       "613  201513139349302081.xml  2.50965e+08    0.796401             0.995783   \n",
+       "614  201513149349301616.xml  4.61057e+08           0             0.803781   \n",
+       "615  201513209349310951.xml  3.11551e+08           0              1.14522   \n",
+       "616  201523209349303667.xml  2.37386e+08           0             0.219072   \n",
+       "617  201523209349306452.xml  9.50743e+08           0            0.0200564   \n",
+       "618  201542929349301029.xml   2.2175e+08    0.810727             0.454894   \n",
+       "619  201503149349302640.xml  3.63992e+08           0                    1   \n",
+       "620  201513149349302391.xml  1.11673e+08     0.79553             0.782778   \n",
+       "621  201503169349303705.xml  3.96084e+08           0           0.00941891   \n",
+       "622  201513109349301611.xml   3.1093e+08    0.729515             0.357613   \n",
+       "\n",
+       "    Working_Capital Surplus_Margin Total_Expenses  \n",
+       "0           1.05705      0.0290296    5.19174e+07  \n",
+       "1          0.345514      -0.120347    1.71046e+09  \n",
+       "2          0.338249      0.0133821    7.90507e+07  \n",
+       "3           3.66207       0.126429     6.4757e+07  \n",
+       "4          0.416034       0.130444    5.48697e+07  \n",
+       "5          0.836588     -0.0709181    2.23198e+08  \n",
+       "6          0.865902      -0.162997    5.30245e+07  \n",
+       "7        -0.0679868      -0.172903    5.03023e+07  \n",
+       "8          0.701484       0.057791    2.10115e+08  \n",
+       "9          0.943859      -0.138272    1.78473e+08  \n",
+       "10          1.33458       0.177553    1.51622e+08  \n",
+       "11          1.40097    -0.00895469    1.01897e+08  \n",
+       "12         0.774675      0.0432484    1.43938e+08  \n",
+       "13         0.815902      0.0945209    6.09807e+08  \n",
+       "14         0.265935     -0.0114639    5.74491e+07  \n",
+       "15        -0.262408      -0.104865    6.15463e+07  \n",
+       "16         0.328049     -0.0133592    4.01986e+08  \n",
+       "17         0.140138      -0.416101    7.25797e+07  \n",
+       "18                0      -0.218477    6.60125e+07  \n",
+       "19         0.154674      -0.113958    1.06079e+08  \n",
+       "20          3.76126       0.359146     6.6327e+07  \n",
+       "21          3.57331       0.184016    7.30474e+07  \n",
+       "22          1.08541     -0.0214025     6.6673e+07  \n",
+       "23        0.0957989      0.0866492    2.65447e+08  \n",
+       "24        -0.308261     -0.0189246    1.21089e+08  \n",
+       "25          3.55804      -0.125547    6.12861e+07  \n",
+       "26         -1.14255      -0.137308    6.65748e+07  \n",
+       "27         0.170884     -0.0234945    5.50081e+07  \n",
+       "28          1.81102      0.0923665    9.13628e+07  \n",
+       "29         0.148249      -0.017762    5.85896e+07  \n",
+       "..              ...            ...            ...  \n",
+       "593        0.678336     0.00955411    8.51476e+07  \n",
+       "594       0.0947192     0.00844842    1.20344e+08  \n",
+       "595        0.511917     -0.0535056    4.48244e+08  \n",
+       "596        0.402565       0.105538    1.41531e+09  \n",
+       "597        0.402557      0.0501937    1.85365e+08  \n",
+       "598         1.03773       0.108744     3.5946e+09  \n",
+       "599         2.06452      -0.102984    7.83482e+07  \n",
+       "600        0.469064     -0.0627935     6.3717e+07  \n",
+       "601         1.01091      0.0587995    1.06149e+09  \n",
+       "602        0.429839     -0.0198883    2.59222e+08  \n",
+       "603      0.00417253     0.00412562    2.15966e+08  \n",
+       "604        0.150211     -0.0509705    5.50494e+07  \n",
+       "605        0.555575     -0.0204222    2.02017e+08  \n",
+       "606        0.604276     -0.0712481    1.01498e+08  \n",
+       "607        0.812838       0.176805    1.97308e+08  \n",
+       "608        0.692742       0.204341     5.2751e+07  \n",
+       "609        0.150872       0.161203    3.97704e+08  \n",
+       "610         1.73669       0.112463    5.88801e+07  \n",
+       "611        0.458523      0.0734968    3.49322e+08  \n",
+       "612               0       0.153907    7.14162e+08  \n",
+       "613      0.00705749     -0.0335374    7.21422e+07  \n",
+       "614         1.43646       0.159081    2.72957e+08  \n",
+       "615       -0.166949       0.016306    8.22896e+07  \n",
+       "616        0.584131        0.13376    8.96363e+08  \n",
+       "617         4.18802       0.173939    6.48187e+07  \n",
+       "618        0.820908      0.0177089    2.48663e+08  \n",
+       "619               0              0     1.4504e+08  \n",
+       "620        0.372043      0.0982956    5.73239e+07  \n",
+       "621         3.57195      0.0725725    9.79746e+07  \n",
+       "622        0.680361      0.0759516    1.29112e+08  \n",
+       "\n",
+       "[623 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 40,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "new_df=norm_df.copy()\n",
+    "new_df.reset_index(inplace=True)\n",
+    "\n",
+    "temp_list=[]\n",
+    "\n",
+    "count=0\n",
+    "for i in range(len(res_matrix)):\n",
+    "    if res_matrix[i]==-1.0:\n",
+    "        temp_list.append(pd.DataFrame(df.loc[i]).transpose())\n",
+    "        count+=1\n",
+    "print(count)\n",
+    "print(count/len(norm_df))\n",
+    "ineff_nat_df=pd.concat(temp_list)\n",
+    "ineff_nat_df.reset_index(inplace=True,drop=True)\n",
+    "ineff_nat_df"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Results\n",
+    "\n",
+    "OneClassSVM determined these 623 National Sized Nonprofits as being financially inefficient, they are failing at one of the metrics, either their liabilities to assets ratio is too high or their program expenses ratio, working captial ratio or surplus margin is too low."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python [conda root]",
+   "language": "python",
+   "name": "conda-root-py"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.5.2"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/data_scraping.py b/data_scraping.py
new file mode 100644
index 0000000..9580e12
--- /dev/null
+++ b/data_scraping.py
@@ -0,0 +1,173 @@
+import time
+import sys
+import csv
+import json
+import urllib.request
+
+import xml.etree.ElementTree as ET
+
+def write_csv(filename,lst):
+	global writer
+	prog_ratio=0
+	prog_exp=0
+	temp_net_asset=0
+	unres_net_asset=0
+	tree = ET.parse(filename)
+	root=tree.getroot()
+	break_out=False
+
+	for child in root[0]:
+		if child.tag.split('}')[1]=="Filer":
+			for grandchild in child:
+				if grandchild.tag.split('}')[1]=="EIN":
+					ein=grandchild.text
+					break
+		if break_out==True:
+			break
+	break_out=False
+	for child in root[1]:
+		if child.tag.split('}')[1]!="IRS990":  #REMOVING IRS990 EZ and IRS990 PF
+			lst[1]+=1
+			#os.remove(filename)
+			return None
+		else:
+			lst[0]+=1
+			break
+	for child in root[1]:
+		for grandchild in child:
+			if grandchild.tag.split('}')[1]=="DoNotFollowSFAS117" or grandchild.tag.split('}')[1]=="OrgDoesNotFollowSFAS117Ind":
+				#os.remove(filename)
+				lst[3]+=1
+				return None
+			else:
+				if grandchild.tag.split('}')[1]=="TotalFunctionalExpensesGrp" or grandchild.tag.split('}')[1]=="TotalFunctionalExpenses": #TOTAL AMT ON PROGRAM SHOULD BE ABOVE 75%
+					for great_grandchild in grandchild:
+						if great_grandchild.tag.split('}')[1]=="TotalAmt" or great_grandchild.tag.split('}')[1]=="Total":
+							total_amt=int(great_grandchild.text)
+						if great_grandchild.tag.split('}')[1]=="ProgramServicesAmt":
+							prog_exp=int(great_grandchild.text)
+				 
+				if grandchild.tag.split('}')[1]=="TotalAssetsGrp" or grandchild.tag.split('}')[1]=="TotalAssets":
+					for great_grandchild in grandchild:
+						if great_grandchild.tag.split('}')[1]=="EOYAmt" or great_grandchild.tag.split('}')[1]=="EOY":
+							end_total_asset=int(great_grandchild.text)
+						if great_grandchild.tag.split('}')[1]=="BOYAmt" or great_grandchild.tag.split('}')[1]=="BOY":
+							beg_total_assets=int(great_grandchild.text)
+				if grandchild.tag.split('}')[1]=="TotalLiabilitiesGrp" or grandchild.tag.split('}')[1]=="TotalLiabilities":
+					for great_grandchild in grandchild:
+						if great_grandchild.tag.split('}')[1]=="EOYAmt" or great_grandchild.tag.split('}')[1]=="EOY":
+							total_liability=int(great_grandchild.text)
+				if grandchild.tag.split('}')[1]=="UnrestrictedNetAssetsGrp":
+					for great_grandchild in grandchild:
+						if great_grandchild.tag.split('}')[1]=="EOYAmt":
+							unres_net_asset=int(great_grandchild.text)
+#								if total_amt==0:
+#									dic[ein][2]="N/A"
+#								else:
+#									dic[ein][2]=unres_net_asset/total_amt
+				if grandchild.tag.split('}')[1]=="TemporarilyRstrNetAssetsGrp":  #ONLY A FEW HAVE THIS
+					for great_grandchild in grandchild:
+						if great_grandchild.tag.split('}')[1]=="EOYAmt": 
+							temp_net_asset=int(great_grandchild.text)
+				if grandchild.tag.split('}')[1]  =="CYTotalRevenueAmt" or grandchild.tag.split('}')[1]== "TotalRevenueCurrentYear":
+					total_rev=int(grandchild.text)
+				if grandchild.tag.split('}')[1] =="TotalNetAssetsFundBalanceGrp" or grandchild.tag.split('}')[1] =="TotalNetAssetsFundBalances":
+					for great_grandchild in grandchild:
+						if great_grandchild.tag.split('}')[1]=="BOYAmt" or great_grandchild.tag.split('}')[1]=="BOY":
+							lst[2]+=1
+							beg_net_assets=int(great_grandchild.text)
+						if great_grandchild.tag.split('}')[1]=="EOYAmt" or great_grandchild.tag.split('}')[1]=="EOY":
+							end_net_assets=int(great_grandchild.text)
+							
+	if total_amt!=0 and prog_exp!=0:
+		prog_ratio=prog_exp/total_amt
+	else:
+		prog_ratio=0
+		
+	if total_rev!=0:			
+		surplus_margin=((end_net_assets-beg_net_assets)/total_rev)		
+	else:
+		surplus_margin=0
+	if end_total_asset==0 or total_amt==0:
+		work_cap_ratio=0
+		lia_asset_ratio=0
+	else:
+		work_cap_ratio=((unres_net_asset+temp_net_asset)/total_amt)
+		lia_asset_ratio=total_liability/end_total_asset
+
+	#with open('team_out.txt', 'a') as f:
+	writer.writerow([filename,ein,prog_ratio,lia_asset_ratio,work_cap_ratio,surplus_margin,total_amt])
+		#os.remove(filename)
+
+
+# In[ ]:
+
+import ijson
+
+filename="index_2016.json"
+
+# Download json file
+url = "https://s3.amazonaws.com/irs-form-990/index_2016.json"
+
+urllib.request.urlretrieve(url,"index_2016.json")
+
+with open(filename,'r') as f:
+	objects=ijson.items(f,'Filings2016')
+	columns=list(objects)
+
+
+import urllib.request
+import xml.etree.ElementTree as E
+import os
+
+ObjectId=[]
+form_types = ['990EZ', '990PF']
+ignore_types = 0
+use_types = 0
+
+
+for i in range(len(columns[0])):
+	if columns[0][i]['FormType'] not in form_types:
+		use_types += 1
+		ObjectId+=[columns[0][i]['ObjectId']]
+	else:
+		ignore_types += 1
+
+print("Objects other than 990EZ and 990PF: " + str(use_types))
+print("Objects 990EZ and 990PF: " + str(ignore_types))
+print("Length of ObjectId: " + str(len(ObjectId)))
+
+base_url = "https://s3.amazonaws.com/irs-form-990/"
+end_url = "_public.xml"
+error_file = open('error_file.txt', 'w')
+team_out = open('team_out.txt', 'w')
+writer = csv.writer(team_out,quoting=csv.QUOTE_MINIMAL)
+
+lst=[0,0,0,0]
+
+for i in range(len(ObjectId)):
+
+	if i == 50000:
+		print("processed 50,000 records, exit now")
+		sys.exit()
+
+	new_url = base_url + ObjectId[i] + end_url
+	filename = ObjectId[i] + ".xml"
+
+	try:
+		urllib.request.urlretrieve(new_url,filename)
+		write_csv(filename,lst)
+		time.sleep(1)
+	except:
+		error_string = str(new_url) + ' ' + '\n'
+		error_file.write(error_string)
+		#continue
+
+	os.remove(filename)
+
+	if i % 500 == 0:
+		print(" " + str(i) + " records processed, now sleep for 5 seconds")
+		time.sleep(5)
+		#print(lst)
+
+