diff --git a/.ipynb_checkpoints/Kiva Exploration-checkpoint.ipynb b/.ipynb_checkpoints/Kiva Exploration-checkpoint.ipynb
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@@ -0,0 +1,810 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Understanding the Kiva Dataset\n",
+    "\n",
+    "Before we actually get into the work of predicting anything based on the data Kiva makes public, we first want to get a better picture of what the dataset actually looks like.\n",
+    "\n",
+    "Our first step: What is the schema of the data? Spark SQL will make it easy to query data in the future, but we need to know first what is available."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "sparkSql = (SparkSession.builder\n",
+    "         .master(\"local\")\n",
+    "         .appName(\"Kiva Exploration\")\n",
+    "         .getOrCreate())\n",
+    "\n",
+    "loans = sparkSql.read.format('json').load('kiva-data/loans.json')\n",
+    "loans.registerTempTable('loans')\n",
+    "lenders = sparkSql.read.format('json').load('kiva-data/lenders.json')\n",
+    "lenders.registerTempTable('lenders')\n",
+    "loans_lenders = sparkSql.read.format('json').load('kiva-data/loans_lenders.json')\n",
+    "loans_lenders.registerTempTable('loans_lenders')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "root\n",
+      " |-- activity: string (nullable = true)\n",
+      " |-- basket_amount: long (nullable = true)\n",
+      " |-- bonus_credit_eligibility: boolean (nullable = true)\n",
+      " |-- borrowers: array (nullable = true)\n",
+      " |    |-- element: struct (containsNull = true)\n",
+      " |    |    |-- first_name: string (nullable = true)\n",
+      " |    |    |-- gender: string (nullable = true)\n",
+      " |    |    |-- last_name: string (nullable = true)\n",
+      " |    |    |-- pictured: boolean (nullable = true)\n",
+      " |-- currency_exchange_loss_amount: double (nullable = true)\n",
+      " |-- delinquent: boolean (nullable = true)\n",
+      " |-- description: struct (nullable = true)\n",
+      " |    |-- languages: array (nullable = true)\n",
+      " |    |    |-- element: string (containsNull = true)\n",
+      " |    |-- texts: struct (nullable = true)\n",
+      " |    |    |-- ar: string (nullable = true)\n",
+      " |    |    |-- en: string (nullable = true)\n",
+      " |    |    |-- es: string (nullable = true)\n",
+      " |    |    |-- fr: string (nullable = true)\n",
+      " |    |    |-- id: string (nullable = true)\n",
+      " |    |    |-- mn: string (nullable = true)\n",
+      " |    |    |-- pt: string (nullable = true)\n",
+      " |    |    |-- ru: string (nullable = true)\n",
+      " |    |    |-- vi: string (nullable = true)\n",
+      " |-- funded_amount: long (nullable = true)\n",
+      " |-- funded_date: string (nullable = true)\n",
+      " |-- id: long (nullable = true)\n",
+      " |-- image: struct (nullable = true)\n",
+      " |    |-- id: long (nullable = true)\n",
+      " |    |-- template_id: long (nullable = true)\n",
+      " |-- journal_totals: struct (nullable = true)\n",
+      " |    |-- bulkEntries: long (nullable = true)\n",
+      " |    |-- entries: long (nullable = true)\n",
+      " |-- lender_count: long (nullable = true)\n",
+      " |-- loan_amount: long (nullable = true)\n",
+      " |-- location: struct (nullable = true)\n",
+      " |    |-- country: string (nullable = true)\n",
+      " |    |-- country_code: string (nullable = true)\n",
+      " |    |-- geo: struct (nullable = true)\n",
+      " |    |    |-- level: string (nullable = true)\n",
+      " |    |    |-- pairs: string (nullable = true)\n",
+      " |    |    |-- type: string (nullable = true)\n",
+      " |    |-- town: string (nullable = true)\n",
+      " |-- name: string (nullable = true)\n",
+      " |-- paid_amount: double (nullable = true)\n",
+      " |-- paid_date: string (nullable = true)\n",
+      " |-- partner_id: long (nullable = true)\n",
+      " |-- payments: array (nullable = true)\n",
+      " |    |-- element: struct (containsNull = true)\n",
+      " |    |    |-- amount: double (nullable = true)\n",
+      " |    |    |-- currency_exchange_loss_amount: double (nullable = true)\n",
+      " |    |    |-- local_amount: double (nullable = true)\n",
+      " |    |    |-- payment_id: long (nullable = true)\n",
+      " |    |    |-- processed_date: string (nullable = true)\n",
+      " |    |    |-- rounded_local_amount: double (nullable = true)\n",
+      " |    |    |-- settlement_date: string (nullable = true)\n",
+      " |-- planned_expiration_date: string (nullable = true)\n",
+      " |-- posted_date: string (nullable = true)\n",
+      " |-- sector: string (nullable = true)\n",
+      " |-- status: string (nullable = true)\n",
+      " |-- tags: array (nullable = true)\n",
+      " |    |-- element: struct (containsNull = true)\n",
+      " |    |    |-- name: string (nullable = true)\n",
+      " |-- terms: struct (nullable = true)\n",
+      " |    |-- disbursal_amount: double (nullable = true)\n",
+      " |    |-- disbursal_currency: string (nullable = true)\n",
+      " |    |-- disbursal_date: string (nullable = true)\n",
+      " |    |-- loan_amount: long (nullable = true)\n",
+      " |    |-- local_payments: array (nullable = true)\n",
+      " |    |    |-- element: struct (containsNull = true)\n",
+      " |    |    |    |-- amount: double (nullable = true)\n",
+      " |    |    |    |-- due_date: string (nullable = true)\n",
+      " |    |-- loss_liability: struct (nullable = true)\n",
+      " |    |    |-- currency_exchange: string (nullable = true)\n",
+      " |    |    |-- currency_exchange_coverage_rate: double (nullable = true)\n",
+      " |    |    |-- nonpayment: string (nullable = true)\n",
+      " |    |-- repayment_interval: string (nullable = true)\n",
+      " |    |-- repayment_term: long (nullable = true)\n",
+      " |    |-- scheduled_payments: array (nullable = true)\n",
+      " |    |    |-- element: struct (containsNull = true)\n",
+      " |    |    |    |-- amount: double (nullable = true)\n",
+      " |    |    |    |-- due_date: string (nullable = true)\n",
+      " |-- themes: array (nullable = true)\n",
+      " |    |-- element: string (containsNull = true)\n",
+      " |-- translator: struct (nullable = true)\n",
+      " |    |-- byline: string (nullable = true)\n",
+      " |    |-- image: long (nullable = true)\n",
+      " |-- use: string (nullable = true)\n",
+      " |-- video: struct (nullable = true)\n",
+      " |    |-- id: long (nullable = true)\n",
+      " |    |-- thumbnailImageId: long (nullable = true)\n",
+      " |    |-- title: string (nullable = true)\n",
+      " |    |-- youtubeId: string (nullable = true)\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "loans.printSchema()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[Row(status=u'refunded', count=5504),\n",
+       " Row(status=u'defaulted', count=21776),\n",
+       " Row(status=u'in_repayment', count=155749),\n",
+       " Row(status=u'reviewed', count=3),\n",
+       " Row(status=u'deleted', count=2721),\n",
+       " Row(status=u'paid', count=775330),\n",
+       " Row(status=u'issue', count=199),\n",
+       " Row(status=u'inactive_expired', count=12421),\n",
+       " Row(status=u'fundraising', count=3986),\n",
+       " Row(status=u'expired', count=33773),\n",
+       " Row(status=u'inactive', count=2493),\n",
+       " Row(status=u'funded', count=173),\n",
+       " Row(status=u'', count=2)]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "loans.groupby(loans.status).count().collect()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[Row(delinquent=None, count=970465), Row(delinquent=True, count=43665)]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "loans.groupby(loans.delinquent).count().collect()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[Row(status=u'refunded', count=156),\n",
+       " Row(status=u'defaulted', count=20116),\n",
+       " Row(status=u'in_repayment', count=23393)]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "loans.where(loans.delinquent == True).groupby(loans.status).count().collect()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "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>country</th>\n",
+       "      <th>bad_loan_pct</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Chad</td>\n",
+       "      <td>93.220339</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Paraguay</td>\n",
+       "      <td>2.893067</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Yemen</td>\n",
+       "      <td>24.980195</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Senegal</td>\n",
+       "      <td>7.014218</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Philippines</td>\n",
+       "      <td>2.515182</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Turkey</td>\n",
+       "      <td>0.233645</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Malawi</td>\n",
+       "      <td>13.125000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Iraq</td>\n",
+       "      <td>35.476593</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Cambodia</td>\n",
+       "      <td>1.433968</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Afghanistan</td>\n",
+       "      <td>26.235741</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>Rwanda</td>\n",
+       "      <td>6.648555</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>Jordan</td>\n",
+       "      <td>16.066482</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>Kosovo</td>\n",
+       "      <td>11.893370</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>Sri Lanka</td>\n",
+       "      <td>25.296443</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>Togo</td>\n",
+       "      <td>16.013720</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>Ecuador</td>\n",
+       "      <td>7.329710</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>Lesotho</td>\n",
+       "      <td>4.081633</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>Albania</td>\n",
+       "      <td>9.304468</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>Madagascar</td>\n",
+       "      <td>3.710247</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>Nicaragua</td>\n",
+       "      <td>10.434992</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>Ghana</td>\n",
+       "      <td>9.171567</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>Sierra Leone</td>\n",
+       "      <td>21.054804</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>Peru</td>\n",
+       "      <td>4.051516</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>Benin</td>\n",
+       "      <td>8.137597</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>India</td>\n",
+       "      <td>4.391382</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>United States</td>\n",
+       "      <td>34.945144</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>China</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>Timor-Leste</td>\n",
+       "      <td>9.585492</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>Lao PDR</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>Somalia</td>\n",
+       "      <td>17.316017</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>62</th>\n",
+       "      <td>Kyrgyzstan</td>\n",
+       "      <td>7.112293</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>63</th>\n",
+       "      <td>Samoa</td>\n",
+       "      <td>3.421662</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>64</th>\n",
+       "      <td>Mozambique</td>\n",
+       "      <td>10.196484</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65</th>\n",
+       "      <td>Brazil</td>\n",
+       "      <td>42.477876</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>66</th>\n",
+       "      <td>Belize</td>\n",
+       "      <td>45.026178</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>67</th>\n",
+       "      <td>Kenya</td>\n",
+       "      <td>12.214316</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>68</th>\n",
+       "      <td>Lebanon</td>\n",
+       "      <td>6.509946</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>69</th>\n",
+       "      <td>Dominican Republic</td>\n",
+       "      <td>14.982415</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>70</th>\n",
+       "      <td>Tanzania</td>\n",
+       "      <td>11.312424</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>71</th>\n",
+       "      <td>Botswana</td>\n",
+       "      <td>100.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>72</th>\n",
+       "      <td>Bosnia and Herzegovina</td>\n",
+       "      <td>5.536913</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>73</th>\n",
+       "      <td>Haiti</td>\n",
+       "      <td>25.527192</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>74</th>\n",
+       "      <td>Cameroon</td>\n",
+       "      <td>4.695009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75</th>\n",
+       "      <td>Papua New Guinea</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>76</th>\n",
+       "      <td>Solomon Islands</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>77</th>\n",
+       "      <td>Bulgaria</td>\n",
+       "      <td>2.333333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>78</th>\n",
+       "      <td>St Vincent</td>\n",
+       "      <td>72.727273</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>79</th>\n",
+       "      <td>Nepal</td>\n",
+       "      <td>0.397953</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>80</th>\n",
+       "      <td>El Salvador</td>\n",
+       "      <td>17.143167</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>81</th>\n",
+       "      <td>Egypt</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>82</th>\n",
+       "      <td>Costa Rica</td>\n",
+       "      <td>8.917357</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>83</th>\n",
+       "      <td>Congo (Rep.)</td>\n",
+       "      <td>1.198257</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>84</th>\n",
+       "      <td>Burkina Faso</td>\n",
+       "      <td>2.172702</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>85</th>\n",
+       "      <td>South Africa</td>\n",
+       "      <td>3.364486</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>86</th>\n",
+       "      <td>Colombia</td>\n",
+       "      <td>21.693634</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>87</th>\n",
+       "      <td>Pakistan</td>\n",
+       "      <td>6.085563</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>88</th>\n",
+       "      <td>Vanuatu</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>89</th>\n",
+       "      <td>Moldova</td>\n",
+       "      <td>8.549223</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>90</th>\n",
+       "      <td>Vietnam</td>\n",
+       "      <td>5.473769</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>91</th>\n",
+       "      <td>Mali</td>\n",
+       "      <td>10.650330</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>92 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   country  bad_loan_pct\n",
+       "0                     Chad     93.220339\n",
+       "1                 Paraguay      2.893067\n",
+       "2                    Yemen     24.980195\n",
+       "3                  Senegal      7.014218\n",
+       "4              Philippines      2.515182\n",
+       "5                   Turkey      0.233645\n",
+       "6                   Malawi     13.125000\n",
+       "7                     Iraq     35.476593\n",
+       "8                 Cambodia      1.433968\n",
+       "9              Afghanistan     26.235741\n",
+       "10                  Rwanda      6.648555\n",
+       "11                  Jordan     16.066482\n",
+       "12                  Kosovo     11.893370\n",
+       "13               Sri Lanka     25.296443\n",
+       "14                    Togo     16.013720\n",
+       "15                 Ecuador      7.329710\n",
+       "16                 Lesotho      4.081633\n",
+       "17                 Albania      9.304468\n",
+       "18              Madagascar      3.710247\n",
+       "19               Nicaragua     10.434992\n",
+       "20                   Ghana      9.171567\n",
+       "21            Sierra Leone     21.054804\n",
+       "22                    Peru      4.051516\n",
+       "23                   Benin      8.137597\n",
+       "24                   India      4.391382\n",
+       "25           United States     34.945144\n",
+       "26                   China      0.000000\n",
+       "27             Timor-Leste      9.585492\n",
+       "28                 Lao PDR      0.000000\n",
+       "29                 Somalia     17.316017\n",
+       "..                     ...           ...\n",
+       "62              Kyrgyzstan      7.112293\n",
+       "63                   Samoa      3.421662\n",
+       "64              Mozambique     10.196484\n",
+       "65                  Brazil     42.477876\n",
+       "66                  Belize     45.026178\n",
+       "67                   Kenya     12.214316\n",
+       "68                 Lebanon      6.509946\n",
+       "69      Dominican Republic     14.982415\n",
+       "70                Tanzania     11.312424\n",
+       "71                Botswana    100.000000\n",
+       "72  Bosnia and Herzegovina      5.536913\n",
+       "73                   Haiti     25.527192\n",
+       "74                Cameroon      4.695009\n",
+       "75        Papua New Guinea      0.000000\n",
+       "76         Solomon Islands      0.000000\n",
+       "77                Bulgaria      2.333333\n",
+       "78              St Vincent     72.727273\n",
+       "79                   Nepal      0.397953\n",
+       "80             El Salvador     17.143167\n",
+       "81                   Egypt      0.000000\n",
+       "82              Costa Rica      8.917357\n",
+       "83            Congo (Rep.)      1.198257\n",
+       "84            Burkina Faso      2.172702\n",
+       "85            South Africa      3.364486\n",
+       "86                Colombia     21.693634\n",
+       "87                Pakistan      6.085563\n",
+       "88                 Vanuatu      0.000000\n",
+       "89                 Moldova      8.549223\n",
+       "90                 Vietnam      5.473769\n",
+       "91                    Mali     10.650330\n",
+       "\n",
+       "[92 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bad_pct_df = sparkSql.sql('''\n",
+    "SELECT\n",
+    "    sub.country,\n",
+    "    sub.bad_loans / sub.total_loans * 100.0 as bad_loan_pct\n",
+    "FROM (SELECT\n",
+    "        SUM(CASE WHEN\n",
+    "            loans.status = 'refunded' OR\n",
+    "            loans.status = 'expired' OR\n",
+    "            loans.status = 'defaulted' OR\n",
+    "            loans.delinquent = True\n",
+    "        THEN 1\n",
+    "        ELSE 0 END) AS bad_loans,\n",
+    "        COUNT(*) AS total_loans,\n",
+    "        loans.location.country\n",
+    "    FROM loans\n",
+    "    GROUP BY\n",
+    "    loans.location.country\n",
+    ") sub\n",
+    "''').toPandas()\n",
+    "\n",
+    "bad_pct_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "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>country</th>\n",
+       "      <th>bad_loan_pct</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>71</th>\n",
+       "      <td>Botswana</td>\n",
+       "      <td>100.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>47</th>\n",
+       "      <td>Gaza</td>\n",
+       "      <td>100.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Chad</td>\n",
+       "      <td>93.220339</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>78</th>\n",
+       "      <td>St Vincent</td>\n",
+       "      <td>72.727273</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>66</th>\n",
+       "      <td>Belize</td>\n",
+       "      <td>45.026178</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       country  bad_loan_pct\n",
+       "71    Botswana    100.000000\n",
+       "47        Gaza    100.000000\n",
+       "0         Chad     93.220339\n",
+       "78  St Vincent     72.727273\n",
+       "66      Belize     45.026178"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bad_pct_df.sort_values(by='bad_loan_pct', ascending=False).head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "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>country</th>\n",
+       "      <th>bad_loan_pct</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>China</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>Cape Verde</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>Thailand</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>Bangladesh</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>Mauritania</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       country  bad_loan_pct\n",
+       "26       China             0\n",
+       "41  Cape Verde             0\n",
+       "39    Thailand             0\n",
+       "38  Bangladesh             0\n",
+       "37  Mauritania             0"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bad_pct_df.sort_values(by='bad_loan_pct').head()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 1
+}
diff --git a/Kiva Exploration.ipynb b/Kiva Exploration.ipynb
index 7013b7f..d4ed9b4 100644
--- a/Kiva Exploration.ipynb	
+++ b/Kiva Exploration.ipynb	
@@ -25,8 +25,11 @@
     "         .getOrCreate())\n",
     "\n",
     "loans = sparkSql.read.format('json').load('kiva-data/loans.json')\n",
+    "loans.registerTempTable('loans')\n",
     "lenders = sparkSql.read.format('json').load('kiva-data/lenders.json')\n",
-    "loans_lenders = sparkSql.read.format('json').load('kiva-data/loans_lenders.json')"
+    "lenders.registerTempTable('lenders')\n",
+    "loans_lenders = sparkSql.read.format('json').load('kiva-data/loans_lenders.json')\n",
+    "loans_lenders.registerTempTable('loans_lenders')"
    ]
   },
   {
@@ -224,29 +227,562 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 4,
    "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>country</th>\n",
+       "      <th>bad_loan_pct</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Chad</td>\n",
+       "      <td>93.220339</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>Paraguay</td>\n",
+       "      <td>2.893067</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>Yemen</td>\n",
+       "      <td>24.980195</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>Senegal</td>\n",
+       "      <td>7.014218</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>Philippines</td>\n",
+       "      <td>2.515182</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>Turkey</td>\n",
+       "      <td>0.233645</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>Malawi</td>\n",
+       "      <td>13.125000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>Iraq</td>\n",
+       "      <td>35.476593</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>Cambodia</td>\n",
+       "      <td>1.433968</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>Afghanistan</td>\n",
+       "      <td>26.235741</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>Rwanda</td>\n",
+       "      <td>6.648555</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>Jordan</td>\n",
+       "      <td>16.066482</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>Kosovo</td>\n",
+       "      <td>11.893370</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>Sri Lanka</td>\n",
+       "      <td>25.296443</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>Togo</td>\n",
+       "      <td>16.013720</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>Ecuador</td>\n",
+       "      <td>7.329710</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>Lesotho</td>\n",
+       "      <td>4.081633</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>Albania</td>\n",
+       "      <td>9.304468</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>Madagascar</td>\n",
+       "      <td>3.710247</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>Nicaragua</td>\n",
+       "      <td>10.434992</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>Ghana</td>\n",
+       "      <td>9.171567</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>Sierra Leone</td>\n",
+       "      <td>21.054804</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>Peru</td>\n",
+       "      <td>4.051516</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>Benin</td>\n",
+       "      <td>8.137597</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>India</td>\n",
+       "      <td>4.391382</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>United States</td>\n",
+       "      <td>34.945144</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>China</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>Timor-Leste</td>\n",
+       "      <td>9.585492</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>Lao PDR</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>Somalia</td>\n",
+       "      <td>17.316017</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>62</th>\n",
+       "      <td>Kyrgyzstan</td>\n",
+       "      <td>7.112293</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>63</th>\n",
+       "      <td>Samoa</td>\n",
+       "      <td>3.421662</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>64</th>\n",
+       "      <td>Mozambique</td>\n",
+       "      <td>10.196484</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>65</th>\n",
+       "      <td>Brazil</td>\n",
+       "      <td>42.477876</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>66</th>\n",
+       "      <td>Belize</td>\n",
+       "      <td>45.026178</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>67</th>\n",
+       "      <td>Kenya</td>\n",
+       "      <td>12.214316</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>68</th>\n",
+       "      <td>Lebanon</td>\n",
+       "      <td>6.509946</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>69</th>\n",
+       "      <td>Dominican Republic</td>\n",
+       "      <td>14.982415</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>70</th>\n",
+       "      <td>Tanzania</td>\n",
+       "      <td>11.312424</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>71</th>\n",
+       "      <td>Botswana</td>\n",
+       "      <td>100.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>72</th>\n",
+       "      <td>Bosnia and Herzegovina</td>\n",
+       "      <td>5.536913</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>73</th>\n",
+       "      <td>Haiti</td>\n",
+       "      <td>25.527192</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>74</th>\n",
+       "      <td>Cameroon</td>\n",
+       "      <td>4.695009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75</th>\n",
+       "      <td>Papua New Guinea</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>76</th>\n",
+       "      <td>Solomon Islands</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>77</th>\n",
+       "      <td>Bulgaria</td>\n",
+       "      <td>2.333333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>78</th>\n",
+       "      <td>St Vincent</td>\n",
+       "      <td>72.727273</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>79</th>\n",
+       "      <td>Nepal</td>\n",
+       "      <td>0.397953</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>80</th>\n",
+       "      <td>El Salvador</td>\n",
+       "      <td>17.143167</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>81</th>\n",
+       "      <td>Egypt</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>82</th>\n",
+       "      <td>Costa Rica</td>\n",
+       "      <td>8.917357</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>83</th>\n",
+       "      <td>Congo (Rep.)</td>\n",
+       "      <td>1.198257</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>84</th>\n",
+       "      <td>Burkina Faso</td>\n",
+       "      <td>2.172702</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>85</th>\n",
+       "      <td>South Africa</td>\n",
+       "      <td>3.364486</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>86</th>\n",
+       "      <td>Colombia</td>\n",
+       "      <td>21.693634</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>87</th>\n",
+       "      <td>Pakistan</td>\n",
+       "      <td>6.085563</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>88</th>\n",
+       "      <td>Vanuatu</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>89</th>\n",
+       "      <td>Moldova</td>\n",
+       "      <td>8.549223</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>90</th>\n",
+       "      <td>Vietnam</td>\n",
+       "      <td>5.473769</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>91</th>\n",
+       "      <td>Mali</td>\n",
+       "      <td>10.650330</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>92 rows × 2 columns</p>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "[Row(status=u'in_repayment')]"
+       "                   country  bad_loan_pct\n",
+       "0                     Chad     93.220339\n",
+       "1                 Paraguay      2.893067\n",
+       "2                    Yemen     24.980195\n",
+       "3                  Senegal      7.014218\n",
+       "4              Philippines      2.515182\n",
+       "5                   Turkey      0.233645\n",
+       "6                   Malawi     13.125000\n",
+       "7                     Iraq     35.476593\n",
+       "8                 Cambodia      1.433968\n",
+       "9              Afghanistan     26.235741\n",
+       "10                  Rwanda      6.648555\n",
+       "11                  Jordan     16.066482\n",
+       "12                  Kosovo     11.893370\n",
+       "13               Sri Lanka     25.296443\n",
+       "14                    Togo     16.013720\n",
+       "15                 Ecuador      7.329710\n",
+       "16                 Lesotho      4.081633\n",
+       "17                 Albania      9.304468\n",
+       "18              Madagascar      3.710247\n",
+       "19               Nicaragua     10.434992\n",
+       "20                   Ghana      9.171567\n",
+       "21            Sierra Leone     21.054804\n",
+       "22                    Peru      4.051516\n",
+       "23                   Benin      8.137597\n",
+       "24                   India      4.391382\n",
+       "25           United States     34.945144\n",
+       "26                   China      0.000000\n",
+       "27             Timor-Leste      9.585492\n",
+       "28                 Lao PDR      0.000000\n",
+       "29                 Somalia     17.316017\n",
+       "..                     ...           ...\n",
+       "62              Kyrgyzstan      7.112293\n",
+       "63                   Samoa      3.421662\n",
+       "64              Mozambique     10.196484\n",
+       "65                  Brazil     42.477876\n",
+       "66                  Belize     45.026178\n",
+       "67                   Kenya     12.214316\n",
+       "68                 Lebanon      6.509946\n",
+       "69      Dominican Republic     14.982415\n",
+       "70                Tanzania     11.312424\n",
+       "71                Botswana    100.000000\n",
+       "72  Bosnia and Herzegovina      5.536913\n",
+       "73                   Haiti     25.527192\n",
+       "74                Cameroon      4.695009\n",
+       "75        Papua New Guinea      0.000000\n",
+       "76         Solomon Islands      0.000000\n",
+       "77                Bulgaria      2.333333\n",
+       "78              St Vincent     72.727273\n",
+       "79                   Nepal      0.397953\n",
+       "80             El Salvador     17.143167\n",
+       "81                   Egypt      0.000000\n",
+       "82              Costa Rica      8.917357\n",
+       "83            Congo (Rep.)      1.198257\n",
+       "84            Burkina Faso      2.172702\n",
+       "85            South Africa      3.364486\n",
+       "86                Colombia     21.693634\n",
+       "87                Pakistan      6.085563\n",
+       "88                 Vanuatu      0.000000\n",
+       "89                 Moldova      8.549223\n",
+       "90                 Vietnam      5.473769\n",
+       "91                    Mali     10.650330\n",
+       "\n",
+       "[92 rows x 2 columns]"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "loans.registerTempTable('loans')\n",
-    "sparkSql.sql('''\n",
-    "SELECT loans.status\n",
-    "FROM loans\n",
-    "LIMIT 1\n",
-    "''').collect()"
+    "bad_pct_df = sparkSql.sql('''\n",
+    "SELECT\n",
+    "    sub.country,\n",
+    "    sub.bad_loans / sub.total_loans * 100.0 as bad_loan_pct\n",
+    "FROM (SELECT\n",
+    "        SUM(CASE WHEN\n",
+    "            loans.status = 'refunded' OR\n",
+    "            loans.status = 'expired' OR\n",
+    "            loans.status = 'defaulted' OR\n",
+    "            loans.delinquent = True\n",
+    "        THEN 1\n",
+    "        ELSE 0 END) AS bad_loans,\n",
+    "        COUNT(*) AS total_loans,\n",
+    "        loans.location.country\n",
+    "    FROM loans\n",
+    "    GROUP BY\n",
+    "    loans.location.country\n",
+    ") sub\n",
+    "''').toPandas()\n",
+    "\n",
+    "bad_pct_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "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>country</th>\n",
+       "      <th>bad_loan_pct</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>71</th>\n",
+       "      <td>Botswana</td>\n",
+       "      <td>100.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>47</th>\n",
+       "      <td>Gaza</td>\n",
+       "      <td>100.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>Chad</td>\n",
+       "      <td>93.220339</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>78</th>\n",
+       "      <td>St Vincent</td>\n",
+       "      <td>72.727273</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>66</th>\n",
+       "      <td>Belize</td>\n",
+       "      <td>45.026178</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       country  bad_loan_pct\n",
+       "71    Botswana    100.000000\n",
+       "47        Gaza    100.000000\n",
+       "0         Chad     93.220339\n",
+       "78  St Vincent     72.727273\n",
+       "66      Belize     45.026178"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bad_pct_df.sort_values(by='bad_loan_pct', ascending=False).head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "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>country</th>\n",
+       "      <th>bad_loan_pct</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>China</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>41</th>\n",
+       "      <td>Cape Verde</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>39</th>\n",
+       "      <td>Thailand</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>38</th>\n",
+       "      <td>Bangladesh</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>37</th>\n",
+       "      <td>Mauritania</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       country  bad_loan_pct\n",
+       "26       China             0\n",
+       "41  Cape Verde             0\n",
+       "39    Thailand             0\n",
+       "38  Bangladesh             0\n",
+       "37  Mauritania             0"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "bad_pct_df.sort_values(by='bad_loan_pct').head()"
    ]
   }
  ],