Improving Fraud Detection.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task 1: Improving Fraud\n",
    "\n",
    "2 checks:\n",
    "\n",
    "• Document check: To verify that the photo ID is valid and authentic;\n",
    "\n",
    "• Facial Similarity check: To verify that the face in the picture is the same as that on the\n",
    "submitted ID.\n",
    "\n",
    "The customer will ‘pass’ the KYC process and get onboarded if the results of both Document\n",
    "and Facial Similarity checks are ‘clear’. If the result of any check is not ‘clear’, the customer has\n",
    "to submit all the photos again.\n",
    "\n",
    "Passing Rate = #customers who pass 2 stages of process/#customers who attempt the process\n",
    "\n",
    "#### Problem: Passing Rate has been going up recently. WHY?\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Explore & Clean Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.7/site-packages/statsmodels/tools/_testing.py:19: FutureWarning: pandas.util.testing is deprecated. Use the functions in the public API at pandas.testing instead.\n",
      "  import pandas.util.testing as tm\n"
     ]
    }
   ],
   "source": [
    "#import the necessary libraries \n",
    "import json\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline\n",
    "\n",
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn import metrics\n",
    "from sklearn.metrics import classification_report, confusion_matrix, accuracy_score\n",
    "\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "import plotly.figure_factory as ff\n",
    "import plotly.express as px\n",
    "import statsmodels.api as sm\n",
    "from scipy import stats\n",
    "from scipy.stats import ttest_1samp, ttest_rel, ttest_ind"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Document Reports \n",
    "\n",
    "\n",
    "According to the documentation:\n",
    "\n",
    "\n",
    "- visual_authenticity - Asserts whether visual, non-textual, elements are correct given the type of document\n",
    "- image_integrity - Asserts whether the document was of sufficient quality to verify\n",
    "- image_quality\n",
    "- supported_document\n",
    "- conclusive_document_quality \n",
    "- colour picture_result\n",
    "- data_validation - Asserts whether algorithmically-validatable elements are correct e.g. MRZ lines and document numbers\n",
    "- data_consistency - Asserts whether data represented in multiple places on the document is consistent e.g. between MRZ lines and OCR extracted text on passports\n",
    "- data_comparison - Asserts whether data on the document is consistent with data provided by an applicant (either through Veritas’s applicant form or when creating an applicant through the API)\n",
    "- police_record - Asserts whether the document has been identified as lost, stolen or otherwise compromised\n",
    "- compromised_document - Asserts whether the image of the document has been found in our internal database of compromised documents\n",
    "- properties: The properties associated with the report, if any."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "doc_reports = pd.read_csv('doc_reports.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
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       "   Unnamed: 0                           user_id result_doc  \\\n",
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       "4           4  f52ad1c7e69543a9940c3e7f8ed28a39      clear   \n",
       "\n",
       "  visual_authenticity_doc image_integrity_doc face_detection_result  \\\n",
       "0                consider               clear                 clear   \n",
       "1                   clear               clear                 clear   \n",
       "2                   clear               clear                 clear   \n",
       "3                   clear               clear                 clear   \n",
       "4                   clear               clear                 clear   \n",
       "\n",
       "  image_quality_result            created_at supported_document_result  \\\n",
       "0                clear  2017-06-20T23:12:57Z                     clear   \n",
       "1                clear  2017-06-20T23:16:04Z                     clear   \n",
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       "4                clear  2017-06-20T18:08:09Z                     clear   \n",
       "\n",
       "  conclusive_document_quality_result colour_picture_result  \\\n",
       "0                                NaN                   NaN   \n",
       "1                                NaN                   NaN   \n",
       "2                                NaN                   NaN   \n",
       "3                                NaN                   NaN   \n",
       "4                                NaN                   NaN   \n",
       "\n",
       "  data_validation_result data_consistency_result data_comparison_result  \\\n",
       "0                  clear                   clear                    NaN   \n",
       "1                  clear                     NaN                    NaN   \n",
       "2                  clear                   clear                    NaN   \n",
       "3                  clear                   clear                    NaN   \n",
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       "\n",
       "                         attempt_id police_record_result  \\\n",
       "0  050a0596de424fab83c433eaa18b3f8d                clear   \n",
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       "\n",
       "                                          properties sub_result  \n",
       "0  {'gender': 'Male', 'nationality': 'IRL', 'docu...    caution  \n",
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     "execution_count": 63,
     "metadata": {},
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    }
   ],
   "source": [
    "#change column name to avoid confusion with facial simulation data\n",
    "doc_reports.rename(columns={\"visual_authenticity_result\": \"visual_authenticity_doc\", \n",
    "                            \"image_integrity_result\": \"image_integrity_doc\",\n",
    "                            \"result\":\"result_doc\"}, inplace = True)\n",
    "doc_reports.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 283,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['user_id', 'result_doc', 'visual_authenticity_doc',\n",
       "       'image_integrity_doc', 'face_detection_result', 'image_quality_result',\n",
       "       'supported_document_result', 'conclusive_document_quality_result',\n",
       "       'colour_picture_result', 'data_validation_result',\n",
       "       'data_consistency_result', 'data_comparison_result', 'attempt_id',\n",
       "       'police_record_result', 'compromised_document_result', 'properties',\n",
       "       'sub_result'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 283,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doc_reports.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['caution', 'clear', 'suspected', 'rejected'], dtype=object)"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doc_reports['sub_result'].unique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Data Cleaning\n",
    "\n",
    "What is sub-result? Seems like providing the same info as result\n",
    "if sub_result had consider instead of caution\n",
    "\n",
    "When sub_result is clear --> result is also clear \n",
    "However, we have other attributes for sub_result that might indicate something for the problem in question. \n",
    "\n",
    "Also index number is > number of rows indicating some attemps might not be included in the dataset \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "doc_reports.drop(['Unnamed: 0', 'created_at'], inplace = True, axis =1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(176404, 17)"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doc_reports.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of unique users: 142724\n",
      "Overall Pass Ratio: 80.9 %\n"
     ]
    }
   ],
   "source": [
    "#Number of (unique) users \n",
    "users = len(doc_reports['user_id'].unique())\n",
    "print(\"Number of unique users:\", users)\n",
    "attempts = len(doc_reports['attempt_id'].unique())\n",
    "\n",
    "print(\"Overall Pass Ratio:\", round(users/attempts,3)*100, \"%\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### GOAL: Analyse how the different stages impact the 'result'column"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Facial Similarity Reports \n",
    "\n",
    "The facial similarity check will compare the most recent live photo or live video provided by the applicant to the photo in the most recent identity document provided.\n",
    "\n",
    "- face_comparison - Asserts whether the face in the document matches the face in the live photo or live video\n",
    "- image_integrity - Asserts whether the quality of the uploaded files and the content contained within them were sufficient to perform a face comparison\n",
    "- visual_authenticity - Asserts whether the live photo or live video is not a spoof (such as photos of printed photos or photos of digital screens)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "facial_similarity_reports = pd.read_csv('facial_similarity_reports.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Unnamed: 0', 'user_id', 'result', 'face_comparison_result',\n",
       "       'created_at', 'facial_image_integrity_result',\n",
       "       'visual_authenticity_result', 'properties', 'attempt_id'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "facial_similarity_reports.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "#drop columns without information\n",
    "facial_similarity_reports.drop(['properties', 'Unnamed: 0'], axis=1, inplace = True)\n",
    "\n",
    "facial_similarity_reports.rename(columns={\"result\":\"result_facial\"}, inplace = True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(176404, 7)"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "facial_similarity_reports.shape\n",
    "\n",
    "#awesome both have the same number of data entries "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of unique users: 142724\n",
      "Overall Pass Ratio: 80.9 %\n"
     ]
    }
   ],
   "source": [
    "#Number of (unique) users \n",
    "users_facial = len(facial_similarity_reports['user_id'].unique())\n",
    "print(\"Number of unique users:\", users_facial)\n",
    "\n",
    "attempts = len(facial_similarity_reports['attempt_id'].unique())\n",
    "\n",
    "print(\"Overall Pass Ratio:\", round(users_facial/attempts,3)*100, \"%\")\n",
    "\n",
    "#Result is the same --> makes sense to merge both dataframes so that we can analyse better"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Merge two dfs\n",
    "\n",
    "Assumptions:\n",
    "- merge with attempt_id\n",
    "- we only need 1 user_id, date, "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 459,
   "metadata": {},
   "outputs": [
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       "      <td>NaN</td>\n",
       "      <td>clear</td>\n",
       "      <td>...</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'gender': 'Male', 'nationality': 'IRL', 'docu...</td>\n",
       "      <td>caution</td>\n",
       "      <td>ab23fae164e34af0a1ad1423ce9fd9f0</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>2017-06-20T23:12:58Z</td>\n",
       "      <td>clear</td>\n",
       "      <td>consider</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15a84e8951254011b47412fa4e8f65b8</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>clear</td>\n",
       "      <td>...</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'gender': 'Female', 'document_type': 'driving...</td>\n",
       "      <td>clear</td>\n",
       "      <td>15a84e8951254011b47412fa4e8f65b8</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>2017-06-20T23:16:04Z</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ffb82fda52b041e4b9af9cb4ef298c85</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>clear</td>\n",
       "      <td>...</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'gender': 'Male', 'nationality': 'ITA', 'docu...</td>\n",
       "      <td>clear</td>\n",
       "      <td>ffb82fda52b041e4b9af9cb4ef298c85</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>2017-06-20T17:59:49Z</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>bd4a8b3e3601427e88aa1d9eab9f4290</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>clear</td>\n",
       "      <td>...</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'gender': 'Male', 'issuing_date': '2007-08', ...</td>\n",
       "      <td>clear</td>\n",
       "      <td>bd4a8b3e3601427e88aa1d9eab9f4290</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>2017-06-20T17:59:39Z</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>f52ad1c7e69543a9940c3e7f8ed28a39</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>clear</td>\n",
       "      <td>...</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'gender': 'Male', 'nationality': 'POL', 'docu...</td>\n",
       "      <td>clear</td>\n",
       "      <td>f52ad1c7e69543a9940c3e7f8ed28a39</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>2017-06-20T18:08:09Z</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          user_id_x result_doc visual_authenticity_doc  \\\n",
       "0  ab23fae164e34af0a1ad1423ce9fd9f0   consider                consider   \n",
       "1  15a84e8951254011b47412fa4e8f65b8      clear                   clear   \n",
       "2  ffb82fda52b041e4b9af9cb4ef298c85      clear                   clear   \n",
       "3  bd4a8b3e3601427e88aa1d9eab9f4290      clear                   clear   \n",
       "4  f52ad1c7e69543a9940c3e7f8ed28a39      clear                   clear   \n",
       "\n",
       "  image_integrity_doc face_detection_result image_quality_result  \\\n",
       "0               clear                 clear                clear   \n",
       "1               clear                 clear                clear   \n",
       "2               clear                 clear                clear   \n",
       "3               clear                 clear                clear   \n",
       "4               clear                 clear                clear   \n",
       "\n",
       "  supported_document_result conclusive_document_quality_result  \\\n",
       "0                     clear                                NaN   \n",
       "1                     clear                                NaN   \n",
       "2                     clear                                NaN   \n",
       "3                     clear                                NaN   \n",
       "4                     clear                                NaN   \n",
       "\n",
       "  colour_picture_result data_validation_result  ... police_record_result  \\\n",
       "0                   NaN                  clear  ...                clear   \n",
       "1                   NaN                  clear  ...                clear   \n",
       "2                   NaN                  clear  ...                clear   \n",
       "3                   NaN                  clear  ...                clear   \n",
       "4                   NaN                  clear  ...                clear   \n",
       "\n",
       "  compromised_document_result  \\\n",
       "0                         NaN   \n",
       "1                         NaN   \n",
       "2                         NaN   \n",
       "3                         NaN   \n",
       "4                         NaN   \n",
       "\n",
       "                                          properties sub_result  \\\n",
       "0  {'gender': 'Male', 'nationality': 'IRL', 'docu...    caution   \n",
       "1  {'gender': 'Female', 'document_type': 'driving...      clear   \n",
       "2  {'gender': 'Male', 'nationality': 'ITA', 'docu...      clear   \n",
       "3  {'gender': 'Male', 'issuing_date': '2007-08', ...      clear   \n",
       "4  {'gender': 'Male', 'nationality': 'POL', 'docu...      clear   \n",
       "\n",
       "                          user_id_y result_facial face_comparison_result  \\\n",
       "0  ab23fae164e34af0a1ad1423ce9fd9f0         clear                  clear   \n",
       "1  15a84e8951254011b47412fa4e8f65b8         clear                  clear   \n",
       "2  ffb82fda52b041e4b9af9cb4ef298c85         clear                  clear   \n",
       "3  bd4a8b3e3601427e88aa1d9eab9f4290         clear                  clear   \n",
       "4  f52ad1c7e69543a9940c3e7f8ed28a39         clear                  clear   \n",
       "\n",
       "             created_at facial_image_integrity_result  \\\n",
       "0  2017-06-20T23:12:58Z                         clear   \n",
       "1  2017-06-20T23:16:04Z                         clear   \n",
       "2  2017-06-20T17:59:49Z                         clear   \n",
       "3  2017-06-20T17:59:39Z                         clear   \n",
       "4  2017-06-20T18:08:09Z                         clear   \n",
       "\n",
       "  visual_authenticity_result  \n",
       "0                   consider  \n",
       "1                      clear  \n",
       "2                      clear  \n",
       "3                      clear  \n",
       "4                      clear  \n",
       "\n",
       "[5 rows x 23 columns]"
      ]
     },
     "execution_count": 459,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doc_face = pd.merge(doc_reports, facial_similarity_reports, on='attempt_id')\n",
    "doc_face.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 460,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['user_id_x', 'result_doc', 'visual_authenticity_doc',\n",
       "       'image_integrity_doc', 'face_detection_result', 'image_quality_result',\n",
       "       'supported_document_result', 'conclusive_document_quality_result',\n",
       "       'colour_picture_result', 'data_validation_result',\n",
       "       'data_consistency_result', 'data_comparison_result', 'attempt_id',\n",
       "       'police_record_result', 'compromised_document_result', 'properties',\n",
       "       'sub_result', 'user_id_y', 'result_facial', 'face_comparison_result',\n",
       "       'created_at', 'facial_image_integrity_result',\n",
       "       'visual_authenticity_result'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 460,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doc_face.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 461,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "data_comparison_result                173855\n",
       "compromised_document_result           130897\n",
       "data_consistency_result                84175\n",
       "conclusive_document_quality_result     81186\n",
       "colour_picture_result                  81181\n",
       "data_validation_result                 33430\n",
       "police_record_result                   31847\n",
       "face_detection_result                  26143\n",
       "visual_authenticity_doc                26114\n",
       "visual_authenticity_result             26114\n",
       "face_comparison_result                 10397\n",
       "supported_document_result                504\n",
       "facial_image_integrity_result            463\n",
       "image_integrity_doc                        1\n",
       "image_quality_result                       1\n",
       "result_facial                              1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 461,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Null values\n",
    "null_cols = doc_face.isnull().sum()\n",
    "null_cols[null_cols > 0].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 462,
   "metadata": {},
   "outputs": [],
   "source": [
    "doc_face['created_at'] = pd.to_datetime(doc_face['created_at'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 463,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([ True, False])"
      ]
     },
     "execution_count": 463,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(doc_face['result_facial'] ==doc_face['face_comparison_result']).unique()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 464,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[ True]\n"
     ]
    }
   ],
   "source": [
    "#make sure correct\n",
    "print((doc_face['user_id_x'] ==doc_face['user_id_y']).unique())\n",
    "\n",
    "#remove face_comparison since we already have facial_result\n",
    "doc_face.drop(['user_id_y','face_comparison_result'], inplace = True, axis=1)\n",
    "doc_face.rename(columns={\"user_id_x\":\"user_id\", \"created_at_x\":\"created_at\"}, inplace = True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### ADD FINAL RESULT COLUMN \n",
    "\n",
    "The customer will ‘pass’ the KYC process and get onboarded if the results of both Document\n",
    "and Facial Similarity checks are ‘clear’. If the result of any check is not ‘clear’, the customer has\n",
    "to submit all the photos again."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 465,
   "metadata": {},
   "outputs": [],
   "source": [
    "doc_face['final_result'] = np.where((doc_face['result_facial']=='clear')& (doc_face['result_doc']=='clear'), \n",
    "                                    'pass', 'fail')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 466,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>user_id</th>\n",
       "      <th>result_doc</th>\n",
       "      <th>visual_authenticity_doc</th>\n",
       "      <th>image_integrity_doc</th>\n",
       "      <th>face_detection_result</th>\n",
       "      <th>image_quality_result</th>\n",
       "      <th>supported_document_result</th>\n",
       "      <th>conclusive_document_quality_result</th>\n",
       "      <th>colour_picture_result</th>\n",
       "      <th>data_validation_result</th>\n",
       "      <th>...</th>\n",
       "      <th>attempt_id</th>\n",
       "      <th>police_record_result</th>\n",
       "      <th>compromised_document_result</th>\n",
       "      <th>properties</th>\n",
       "      <th>sub_result</th>\n",
       "      <th>result_facial</th>\n",
       "      <th>created_at</th>\n",
       "      <th>facial_image_integrity_result</th>\n",
       "      <th>visual_authenticity_result</th>\n",
       "      <th>final_result</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ab23fae164e34af0a1ad1423ce9fd9f0</td>\n",
       "      <td>consider</td>\n",
       "      <td>consider</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>clear</td>\n",
       "      <td>...</td>\n",
       "      <td>050a0596de424fab83c433eaa18b3f8d</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'gender': 'Male', 'nationality': 'IRL', 'docu...</td>\n",
       "      <td>caution</td>\n",
       "      <td>clear</td>\n",
       "      <td>2017-06-20 23:12:58+00:00</td>\n",
       "      <td>clear</td>\n",
       "      <td>consider</td>\n",
       "      <td>fail</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>15a84e8951254011b47412fa4e8f65b8</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>clear</td>\n",
       "      <td>...</td>\n",
       "      <td>f69c1e5f45a64e50a26740b9bfb978b7</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'gender': 'Female', 'document_type': 'driving...</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>2017-06-20 23:16:04+00:00</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>pass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ffb82fda52b041e4b9af9cb4ef298c85</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>clear</td>\n",
       "      <td>...</td>\n",
       "      <td>f9f84f3055714d8e8f7419dc984d1769</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'gender': 'Male', 'nationality': 'ITA', 'docu...</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>2017-06-20 17:59:49+00:00</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>pass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>bd4a8b3e3601427e88aa1d9eab9f4290</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>clear</td>\n",
       "      <td>...</td>\n",
       "      <td>10a54a1ecf794404be959e030f11fef6</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'gender': 'Male', 'issuing_date': '2007-08', ...</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>2017-06-20 17:59:39+00:00</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>pass</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>f52ad1c7e69543a9940c3e7f8ed28a39</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>clear</td>\n",
       "      <td>...</td>\n",
       "      <td>1f320d1d07de493292b7e0d5ebfb1cb9</td>\n",
       "      <td>clear</td>\n",
       "      <td>NaN</td>\n",
       "      <td>{'gender': 'Male', 'nationality': 'POL', 'docu...</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>2017-06-20 18:08:09+00:00</td>\n",
       "      <td>clear</td>\n",
       "      <td>clear</td>\n",
       "      <td>pass</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 22 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                            user_id result_doc visual_authenticity_doc  \\\n",
       "0  ab23fae164e34af0a1ad1423ce9fd9f0   consider                consider   \n",
       "1  15a84e8951254011b47412fa4e8f65b8      clear                   clear   \n",
       "2  ffb82fda52b041e4b9af9cb4ef298c85      clear                   clear   \n",
       "3  bd4a8b3e3601427e88aa1d9eab9f4290      clear                   clear   \n",
       "4  f52ad1c7e69543a9940c3e7f8ed28a39      clear                   clear   \n",
       "\n",
       "  image_integrity_doc face_detection_result image_quality_result  \\\n",
       "0               clear                 clear                clear   \n",
       "1               clear                 clear                clear   \n",
       "2               clear                 clear                clear   \n",
       "3               clear                 clear                clear   \n",
       "4               clear                 clear                clear   \n",
       "\n",
       "  supported_document_result conclusive_document_quality_result  \\\n",
       "0                     clear                                NaN   \n",
       "1                     clear                                NaN   \n",
       "2                     clear                                NaN   \n",
       "3                     clear                                NaN   \n",
       "4                     clear                                NaN   \n",
       "\n",
       "  colour_picture_result data_validation_result  ...  \\\n",
       "0                   NaN                  clear  ...   \n",
       "1                   NaN                  clear  ...   \n",
       "2                   NaN                  clear  ...   \n",
       "3                   NaN                  clear  ...   \n",
       "4                   NaN                  clear  ...   \n",
       "\n",
       "                         attempt_id police_record_result  \\\n",
       "0  050a0596de424fab83c433eaa18b3f8d                clear   \n",
       "1  f69c1e5f45a64e50a26740b9bfb978b7                clear   \n",
       "2  f9f84f3055714d8e8f7419dc984d1769                clear   \n",
       "3  10a54a1ecf794404be959e030f11fef6                clear   \n",
       "4  1f320d1d07de493292b7e0d5ebfb1cb9                clear   \n",
       "\n",
       "  compromised_document_result  \\\n",
       "0                         NaN   \n",
       "1                         NaN   \n",
       "2                         NaN   \n",
       "3                         NaN   \n",
       "4                         NaN   \n",
       "\n",
       "                                          properties sub_result result_facial  \\\n",
       "0  {'gender': 'Male', 'nationality': 'IRL', 'docu...    caution         clear   \n",
       "1  {'gender': 'Female', 'document_type': 'driving...      clear         clear   \n",
       "2  {'gender': 'Male', 'nationality': 'ITA', 'docu...      clear         clear   \n",
       "3  {'gender': 'Male', 'issuing_date': '2007-08', ...      clear         clear   \n",
       "4  {'gender': 'Male', 'nationality': 'POL', 'docu...      clear         clear   \n",
       "\n",
       "                 created_at facial_image_integrity_result  \\\n",
       "0 2017-06-20 23:12:58+00:00                         clear   \n",
       "1 2017-06-20 23:16:04+00:00                         clear   \n",
       "2 2017-06-20 17:59:49+00:00                         clear   \n",
       "3 2017-06-20 17:59:39+00:00                         clear   \n",
       "4 2017-06-20 18:08:09+00:00                         clear   \n",
       "\n",
       "  visual_authenticity_result final_result  \n",
       "0                   consider         fail  \n",
       "1                      clear         pass  \n",
       "2                      clear         pass  \n",
       "3                      clear         pass  \n",
       "4                      clear         pass  \n",
       "\n",
       "[5 rows x 22 columns]"
      ]
     },
     "execution_count": 466,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doc_face.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 467,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.7818680469715699"
      ]
     },
     "execution_count": 467,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = doc_face.groupby('final_result')['user_id'].nunique()\n",
    "df[1]/(df[0]+df[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 487,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1bf09ba50>"
      ]
     },
     "execution_count": 487,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "doc_face.final_result.value_counts(normalize=True).plot.bar(figsize=(5, 3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 469,
   "metadata": {},
   "outputs": [],
   "source": [
    "mapping = {\"clear\": 0, 'unidentified': 1, \"consider\" : 1, \"pass\" : 0, \"fail\" : 1}\n",
    "\n",
    "def encode_function(columns, df):\n",
    "    for column in columns:\n",
    "        df[column] = df[column].map(mapping)\n",
    "    \n",
    "columns = doc_face.drop(['user_id', 'attempt_id', 'properties', 'created_at'], axis=1)\n",
    "encode_function(columns,doc_face)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 470,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "user_id                                            object\n",
       "result_doc                                          int64\n",
       "visual_authenticity_doc                           float64\n",
       "image_integrity_doc                               float64\n",
       "face_detection_result                             float64\n",
       "image_quality_result                              float64\n",
       "supported_document_result                         float64\n",
       "conclusive_document_quality_result                float64\n",
       "colour_picture_result                             float64\n",
       "data_validation_result                            float64\n",
       "data_consistency_result                           float64\n",
       "data_comparison_result                            float64\n",
       "attempt_id                                         object\n",
       "police_record_result                              float64\n",
       "compromised_document_result                       float64\n",
       "properties                                         object\n",
       "sub_result                                        float64\n",
       "result_facial                                     float64\n",
       "created_at                            datetime64[ns, UTC]\n",
       "facial_image_integrity_result                     float64\n",
       "visual_authenticity_result                        float64\n",
       "final_result                                        int64\n",
       "dtype: object"
      ]
     },
     "execution_count": 470,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "doc_face.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 471,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Number of Attempts</th>\n",
       "      <th>Number of Fails</th>\n",
       "      <th>Pass Rate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>created_at</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-05-23 00:00:00+00:00</th>\n",
       "      <td>100</td>\n",
       "      <td>22</td>\n",
       "      <td>0.780000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-05-24 00:00:00+00:00</th>\n",
       "      <td>194</td>\n",
       "      <td>40</td>\n",
       "      <td>0.793814</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-05-25 00:00:00+00:00</th>\n",
       "      <td>165</td>\n",
       "      <td>27</td>\n",
       "      <td>0.836364</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-05-26 00:00:00+00:00</th>\n",
       "      <td>213</td>\n",
       "      <td>37</td>\n",
       "      <td>0.826291</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-05-27 00:00:00+00:00</th>\n",
       "      <td>174</td>\n",
       "      <td>32</td>\n",
       "      <td>0.816092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-27 00:00:00+00:00</th>\n",
       "      <td>2003</td>\n",
       "      <td>825</td>\n",
       "      <td>0.588118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-28 00:00:00+00:00</th>\n",
       "      <td>1489</td>\n",
       "      <td>447</td>\n",
       "      <td>0.699799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-29 00:00:00+00:00</th>\n",
       "      <td>1393</td>\n",
       "      <td>365</td>\n",
       "      <td>0.737976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-30 00:00:00+00:00</th>\n",
       "      <td>1340</td>\n",
       "      <td>352</td>\n",
       "      <td>0.737313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-31 00:00:00+00:00</th>\n",
       "      <td>1889</td>\n",
       "      <td>505</td>\n",
       "      <td>0.732663</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>162 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Number of Attempts  Number of Fails  Pass Rate\n",
       "created_at                                                               \n",
       "2017-05-23 00:00:00+00:00                 100               22   0.780000\n",
       "2017-05-24 00:00:00+00:00                 194               40   0.793814\n",
       "2017-05-25 00:00:00+00:00                 165               27   0.836364\n",
       "2017-05-26 00:00:00+00:00                 213               37   0.826291\n",
       "2017-05-27 00:00:00+00:00                 174               32   0.816092\n",
       "...                                       ...              ...        ...\n",
       "2017-10-27 00:00:00+00:00                2003              825   0.588118\n",
       "2017-10-28 00:00:00+00:00                1489              447   0.699799\n",
       "2017-10-29 00:00:00+00:00                1393              365   0.737976\n",
       "2017-10-30 00:00:00+00:00                1340              352   0.737313\n",
       "2017-10-31 00:00:00+00:00                1889              505   0.732663\n",
       "\n",
       "[162 rows x 3 columns]"
      ]
     },
     "execution_count": 471,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "attempts_count = doc_face.groupby([pd.Grouper(key='created_at', freq='D')])['user_id'].count()\n",
    "fail_count = doc_face[doc_face['final_result'] ==1].groupby([pd.Grouper(key='created_at', freq='D')])['user_id'].count()\n",
    "\n",
    "result = pd.concat([attempts_count, fail_count], axis=1)\n",
    "result.columns = ['Number of Attempts', 'Number of Fails']\n",
    "result['Pass Rate'] =(result['Number of Attempts']-result['Number of Fails'])/result['Number of Attempts']\n",
    "result\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 472,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Number of Attempts      int64\n",
       "Number of Fails         int64\n",
       "Pass Rate             float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 472,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "result.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 473,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1be485ed0>"
      ]
     },
     "execution_count": 473,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#plot\n",
    "result[['Number of Attempts', 'Number of Fails']].plot(figsize=(16, 7), title='Number of Attempts and Fails over time')\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 474,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1be4aec10>"
      ]
     },
     "execution_count": 474,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "result[['Pass Rate']].plot(figsize=(16, 7), color='g', title='Pass Rate over time')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### The 3 graphs together:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 475,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.7/site-packages/matplotlib/cbook/__init__.py:1402: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  x[:, None]\n",
      "/opt/anaconda3/lib/python3.7/site-packages/matplotlib/axes/_base.py:276: FutureWarning: Support for multi-dimensional indexing (e.g. `obj[:, None]`) is deprecated and will be removed in a future version.  Convert to a numpy array before indexing instead.\n",
      "  x = x[:, np.newaxis]\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax1 = plt.subplots()\n",
    "\n",
    "data1 = result[['Number of Attempts', 'Number of Fails']]\n",
    "data2 = result[['Pass Rate']]\n",
    "\n",
    "color = 'tab:blue'\n",
    "ax1.set_xlabel('Date')\n",
    "ax1.set_ylabel('Number of Attempts and Fails per day', color=color)\n",
    "ax1.plot(result.index, data1, color=color)\n",
    "ax1.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "ax2 = ax1.twinx()\n",
    "\n",
    "color = 'tab:green'\n",
    "ax2.set_ylabel('Pass Rate', color=color)  \n",
    "ax2.plot(result.index, data2, color=color)\n",
    "ax2.tick_params(axis='y', labelcolor=color)\n",
    "\n",
    "fig.tight_layout()# otherwise the right y-label is slightly clipped\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 482,
   "metadata": {},
   "outputs": [],
   "source": [
    "graph_columns = columns.drop(['sub_result','final_result'], axis=1).columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 483,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x19c7f2e90>"
      ]
     },
     "execution_count": 483,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "doc_face.groupby(pd.Grouper(key='created_at', freq='D'))[graph_columns].mean().plot(figsize=(16, 7), \n",
    "                                                                                 title='Results over time')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Graph:\n",
    "    \n",
    "- Number of 'not clear' attempts have more or less followed the distribution of the number of submissions.\n",
    "- We see a significant submissions decrease during October.\n",
    "- Looking at the data for that specific month we have 3 days in particular with aprox null attemps (so it's normal that the pass rate has decreased substantially in the recent period...)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Correlation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 484,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>result_doc</th>\n",
       "      <th>result_facial</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>result_doc</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.145877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>image_integrity_doc</th>\n",
       "      <td>0.935447</td>\n",
       "      <td>0.119411</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>final_result</th>\n",
       "      <td>0.922866</td>\n",
       "      <td>0.411173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conclusive_document_quality_result</th>\n",
       "      <td>0.899578</td>\n",
       "      <td>-0.002755</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data_comparison_result</th>\n",
       "      <td>0.897684</td>\n",
       "      <td>0.001509</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>image_quality_result</th>\n",
       "      <td>0.695039</td>\n",
       "      <td>0.154876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>visual_authenticity_result</th>\n",
       "      <td>0.390227</td>\n",
       "      <td>0.161617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>visual_authenticity_doc</th>\n",
       "      <td>0.390227</td>\n",
       "      <td>0.161617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data_validation_result</th>\n",
       "      <td>0.283832</td>\n",
       "      <td>0.014762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supported_document_result</th>\n",
       "      <td>0.171676</td>\n",
       "      <td>0.054647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>face_detection_result</th>\n",
       "      <td>0.168460</td>\n",
       "      <td>0.211786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>result_facial</th>\n",
       "      <td>0.145877</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>facial_image_integrity_result</th>\n",
       "      <td>0.145421</td>\n",
       "      <td>0.973341</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data_consistency_result</th>\n",
       "      <td>0.114055</td>\n",
       "      <td>0.017861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>colour_picture_result</th>\n",
       "      <td>0.072981</td>\n",
       "      <td>0.030076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>compromised_document_result</th>\n",
       "      <td>0.039266</td>\n",
       "      <td>0.009222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>police_record_result</th>\n",
       "      <td>0.035512</td>\n",
       "      <td>0.009881</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    result_doc  result_facial\n",
       "result_doc                            1.000000       0.145877\n",
       "image_integrity_doc                   0.935447       0.119411\n",
       "final_result                          0.922866       0.411173\n",
       "conclusive_document_quality_result    0.899578      -0.002755\n",
       "data_comparison_result                0.897684       0.001509\n",
       "image_quality_result                  0.695039       0.154876\n",
       "visual_authenticity_result            0.390227       0.161617\n",
       "visual_authenticity_doc               0.390227       0.161617\n",
       "data_validation_result                0.283832       0.014762\n",
       "supported_document_result             0.171676       0.054647\n",
       "face_detection_result                 0.168460       0.211786\n",
       "result_facial                         0.145877       1.000000\n",
       "facial_image_integrity_result         0.145421       0.973341\n",
       "data_consistency_result               0.114055       0.017861\n",
       "colour_picture_result                 0.072981       0.030076\n",
       "compromised_document_result           0.039266       0.009222\n",
       "police_record_result                  0.035512       0.009881"
      ]
     },
     "execution_count": 484,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Finding the relations between the variables\n",
    "corr =doc_face.drop(['sub_result'], axis=1).corr()\n",
    "\n",
    "#look at the results\n",
    "corr[['result_doc','result_facial']].sort_values(by=['result_doc','result_facial'], \n",
    "                                                 ascending=[False, False])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- image_integrity_doc is the variable with highest correlation with the document result check. According to the API Documentation, asserts whether the document is of sufficient quality to verify (in the case to perform the facial comparison)\n",
    "- facial_image_integrity_result: Asserts whether the quality of the uploaded files and the content contained within them were sufficient to perform a face comparison\n",
    "\n",
    "\n",
    "These parameters have a great influence on the final KYC result."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 358,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Number of attempts</th>\n",
       "      <th>Number of Fails</th>\n",
       "      <th>Pass Rate</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>created_at</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-10-19 00:00:00+00:00</th>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-20 00:00:00+00:00</th>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-21 00:00:00+00:00</th>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-22 00:00:00+00:00</th>\n",
       "      <td>322</td>\n",
       "      <td>157</td>\n",
       "      <td>0.512422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-23 00:00:00+00:00</th>\n",
       "      <td>1858</td>\n",
       "      <td>787</td>\n",
       "      <td>0.576426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-24 00:00:00+00:00</th>\n",
       "      <td>2388</td>\n",
       "      <td>994</td>\n",
       "      <td>0.583752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-25 00:00:00+00:00</th>\n",
       "      <td>2064</td>\n",
       "      <td>967</td>\n",
       "      <td>0.531492</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-26 00:00:00+00:00</th>\n",
       "      <td>2113</td>\n",
       "      <td>949</td>\n",
       "      <td>0.550876</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-27 00:00:00+00:00</th>\n",
       "      <td>2003</td>\n",
       "      <td>825</td>\n",
       "      <td>0.588118</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-28 00:00:00+00:00</th>\n",
       "      <td>1489</td>\n",
       "      <td>447</td>\n",
       "      <td>0.699799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-29 00:00:00+00:00</th>\n",
       "      <td>1393</td>\n",
       "      <td>365</td>\n",
       "      <td>0.737976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-30 00:00:00+00:00</th>\n",
       "      <td>1340</td>\n",
       "      <td>352</td>\n",
       "      <td>0.737313</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-10-31 00:00:00+00:00</th>\n",
       "      <td>1889</td>\n",
       "      <td>505</td>\n",
       "      <td>0.732663</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           Number of attempts  Number of Fails  Pass Rate\n",
       "created_at                                                               \n",
       "2017-10-19 00:00:00+00:00                   0                0        NaN\n",
       "2017-10-20 00:00:00+00:00                   2                1   0.500000\n",
       "2017-10-21 00:00:00+00:00                   3                3   0.000000\n",
       "2017-10-22 00:00:00+00:00                 322              157   0.512422\n",
       "2017-10-23 00:00:00+00:00                1858              787   0.576426\n",
       "2017-10-24 00:00:00+00:00                2388              994   0.583752\n",
       "2017-10-25 00:00:00+00:00                2064              967   0.531492\n",
       "2017-10-26 00:00:00+00:00                2113              949   0.550876\n",
       "2017-10-27 00:00:00+00:00                2003              825   0.588118\n",
       "2017-10-28 00:00:00+00:00                1489              447   0.699799\n",
       "2017-10-29 00:00:00+00:00                1393              365   0.737976\n",
       "2017-10-30 00:00:00+00:00                1340              352   0.737313\n",
       "2017-10-31 00:00:00+00:00                1889              505   0.732663"
      ]
     },
     "execution_count": 358,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Look at October --> 3 days with missing/wrong information\n",
    "result[result.index> '2017-10-18']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 188,
   "metadata": {},
   "outputs": [],
   "source": [
    "doc_face_october = doc_face[doc_face['created_at']>'2017-10-01']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 361,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x197edd990>"
      ]
     },
     "execution_count": 361,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "doc_face_october.groupby(pd.Grouper(key='created_at', freq='D'))[corr.index].mean().plot(figsize=(16, 7))\n",
    "\n",
    "#we can see that some parameters had bigger impact during that period in mid-October "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 360,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>result_doc</th>\n",
       "      <th>result_facial</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>result_doc</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.117895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>image_integrity_doc</th>\n",
       "      <td>0.963673</td>\n",
       "      <td>0.096621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conclusive_document_quality_result</th>\n",
       "      <td>0.937947</td>\n",
       "      <td>0.001141</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>image_quality_result</th>\n",
       "      <td>0.606713</td>\n",
       "      <td>0.135799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>visual_authenticity_doc</th>\n",
       "      <td>0.229702</td>\n",
       "      <td>0.196022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>visual_authenticity_result</th>\n",
       "      <td>0.229702</td>\n",
       "      <td>0.196022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data_validation_result</th>\n",
       "      <td>0.184734</td>\n",
       "      <td>0.015179</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>result_facial</th>\n",
       "      <td>0.117895</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>facial_image_integrity_result</th>\n",
       "      <td>0.114149</td>\n",
       "      <td>0.989670</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supported_document_result</th>\n",
       "      <td>0.109130</td>\n",
       "      <td>0.067607</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>face_detection_result</th>\n",
       "      <td>0.091263</td>\n",
       "      <td>0.267656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>colour_picture_result</th>\n",
       "      <td>0.056050</td>\n",
       "      <td>0.030445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data_consistency_result</th>\n",
       "      <td>0.052341</td>\n",
       "      <td>-0.004177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>compromised_document_result</th>\n",
       "      <td>0.039728</td>\n",
       "      <td>0.010258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>police_record_result</th>\n",
       "      <td>0.019965</td>\n",
       "      <td>0.011003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>face_comparison_result</th>\n",
       "      <td>0.001286</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data_comparison_result</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    result_doc  result_facial\n",
       "result_doc                            1.000000       0.117895\n",
       "image_integrity_doc                   0.963673       0.096621\n",
       "conclusive_document_quality_result    0.937947       0.001141\n",
       "image_quality_result                  0.606713       0.135799\n",
       "visual_authenticity_doc               0.229702       0.196022\n",
       "visual_authenticity_result            0.229702       0.196022\n",
       "data_validation_result                0.184734       0.015179\n",
       "result_facial                         0.117895       1.000000\n",
       "facial_image_integrity_result         0.114149       0.989670\n",
       "supported_document_result             0.109130       0.067607\n",
       "face_detection_result                 0.091263       0.267656\n",
       "colour_picture_result                 0.056050       0.030445\n",
       "data_consistency_result               0.052341      -0.004177\n",
       "compromised_document_result           0.039728       0.010258\n",
       "police_record_result                  0.019965       0.011003\n",
       "face_comparison_result                0.001286       1.000000\n",
       "data_comparison_result                     NaN            NaN"
      ]
     },
     "execution_count": 360,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Finding the relations between the variables\n",
    "corr =doc_face_october.drop(['sub_result','final_result'], axis=1).corr()\n",
    "\n",
    "#look at the results\n",
    "corr[['result_doc','result_facial']].sort_values(by=['result_doc','result_facial'], \n",
    "                                                 ascending=[False, False])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### troubling fields during those days:\n",
    "\n",
    "- No data from 18-20 included \n",
    "- on the 21th the failure rate for \"image_integrity_result\" and \"concludive_document_result\" increased to 1, while \"image_quality_Result\" and \"facial_image_integrity_result\"also showed a abnormal failure increase for the day. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Look into Properties\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 401,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of total attempts: 176403\n",
      "Number of total failed attempts: 49514\n",
      "Number of attempts without properties data: 26098\n",
      "Number of attempts with failed image_integrity_doc: 39743\n",
      "Number of attempts with failed image_quality_result : 24403\n",
      "Number of attempts without properties data and failed image_integrity_doc & image_quality_result: 24390\n"
     ]
    }
   ],
   "source": [
    "#check attempts with no properties information\n",
    "print(\"Number of total attempts:\", doc_face.shape[0])\n",
    "print(\"Number of total failed attempts:\", doc_face[doc_face['final_result'] == 1].shape[0])\n",
    "\n",
    "print(\"Number of attempts without properties data:\", \n",
    "      doc_face[doc_face['properties'] == \"{}\"].shape[0])\n",
    "\n",
    "print(\"Number of attempts with failed image_integrity_doc:\", \n",
    "      doc_face[doc_face['image_integrity_doc'] == 1].shape[0])\n",
    "\n",
    "print(\"Number of attempts with failed image_quality_result :\", \n",
    "      doc_face[doc_face['image_quality_result'] == 1].shape[0])\n",
    "\n",
    "print(\"Number of attempts without properties data and failed image_integrity_doc & image_quality_result:\", \n",
    "      doc_face[(doc_face['properties'] == \"{}\")&(doc_face['image_quality_result'] == 1)& \n",
    "               (doc_face['image_integrity_doc'] == 1)].shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 402,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.9345543719825274"
      ]
     },
     "execution_count": 402,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "24390/26098"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 393,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1ab322b10>"
      ]
     },
     "execution_count": 393,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "doc_face[doc_face['properties'] == \"{}\"].groupby(pd.Grouper(key='created_at', freq='D'))[corr.index].mean().plot(figsize=(16, 7))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 396,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:1: FutureWarning: DataFrame.mean and DataFrame.median with numeric_only=None will include datetime64 and datetime64tz columns in a future version.\n",
      "  \"\"\"Entry point for launching an IPython kernel.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "result_doc                       1.000000\n",
       "image_integrity_doc              0.999157\n",
       "image_quality_result             0.934554\n",
       "supported_document_result        0.065867\n",
       "result_facial                    0.157445\n",
       "facial_image_integrity_result    0.150601\n",
       "final_result                     1.000000\n",
       "dtype: float64"
      ]
     },
     "execution_count": 396,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#what are the average check results for tests with no properties data?\n",
    "\n",
    "doc_face[doc_face['properties'] == \"{}\"].mean().dropna()\n",
    "\n",
    "#On average, 99.9% no properties submissions fail the image integrity document check."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 410,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x18ea5ba10>"
      ]
     },
     "execution_count": 410,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1152x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "no_properties = doc_face[doc_face['properties'] == \"{}\"].groupby([pd.Grouper(key='created_at', freq='D')])['user_id'].count()\n",
    "no_properties.plot(figsize=(16, 7), title='Number of submissions with no properties')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Unpack Dictionary "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 174,
   "metadata": {},
   "outputs": [],
   "source": [
    "#clean and unwrap informations\n",
    "doc_face['properties'] = doc_face['properties'].apply(lambda x: x.strip(\"\\'<>()\").replace('\\'', '\\\"'))\n",
    "doc_face['properties']  = doc_face['properties'] .apply(lambda row: row.replace('None', \"\\\"NaN\\\"\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 175,
   "metadata": {},
   "outputs": [],
   "source": [
    "doc_face['properties'] = doc_face['properties'].apply(lambda x : dict(eval(x)) )\n",
    "df3 = doc_face['properties'].apply(pd.Series )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 177,
   "metadata": {},
   "outputs": [],
   "source": [
    "#merge with big df\n",
    "final = doc_face.merge(df3,left_index=True, right_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 362,
   "metadata": {},
   "outputs": [],
   "source": [
    "#function that plots any detail, top 10 (some details have too many)\n",
    "def plot_count(df, detail):\n",
    "    fail = df[df['final_result'] == 1].groupby(detail).count()['final_result'].sort_values(ascending =False).head(10)\n",
    "    submissions = df.groupby(detail).count()['final_result'].sort_values(ascending =False).head(10)\n",
    "    graph = pd.concat([fail, submissions], axis=1)\n",
    "    graph.columns = ['Failed Submissions','All Submissions' ]\n",
    "    return graph.plot(kind='bar', title=detail)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 363,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x197f0a350>"
      ]
     },
     "execution_count": 363,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_count(final, 'document_type')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 364,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x19829b510>"
      ]
     },
     "execution_count": 364,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_count(final, 'nationality')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 365,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x197f86f10>"
      ]
     },
     "execution_count": 365,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_count(final, 'issuing_country')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Looking at the spefic days where we saw the drop: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 366,
   "metadata": {},
   "outputs": [],
   "source": [
    "detail = final[(final['created_at']>'2017-10-15')&\n",
    "               (final['created_at']<'2017-10-25')].sort_values(by='created_at', ascending =False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 367,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x19b77d610>"
      ]
     },
     "execution_count": 367,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_count(detail,'document_type')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 368,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x19c49ccd0>"
      ]
     },
     "execution_count": 368,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_count(detail, 'nationality')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 369,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1a28da9d0>"
      ]
     },
     "execution_count": 369,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_count(detail,'issuing_country')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 497,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>result_doc</th>\n",
       "      <th>result_facial</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>result_doc</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.120733</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>final_result</th>\n",
       "      <td>0.978334</td>\n",
       "      <td>0.229878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>image_integrity_doc</th>\n",
       "      <td>0.970759</td>\n",
       "      <td>0.103561</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>conclusive_document_quality_result</th>\n",
       "      <td>0.950092</td>\n",
       "      <td>0.012388</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>image_quality_result</th>\n",
       "      <td>0.593581</td>\n",
       "      <td>0.138853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>visual_authenticity_doc</th>\n",
       "      <td>0.202962</td>\n",
       "      <td>0.213047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>visual_authenticity_result</th>\n",
       "      <td>0.202962</td>\n",
       "      <td>0.213047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data_validation_result</th>\n",
       "      <td>0.177028</td>\n",
       "      <td>-0.008442</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>result_facial</th>\n",
       "      <td>0.120733</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>supported_document_result</th>\n",
       "      <td>0.114511</td>\n",
       "      <td>0.075406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>facial_image_integrity_result</th>\n",
       "      <td>0.113978</td>\n",
       "      <td>0.990176</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>face_detection_result</th>\n",
       "      <td>0.074487</td>\n",
       "      <td>0.219621</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>colour_picture_result</th>\n",
       "      <td>0.065001</td>\n",
       "      <td>0.058975</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data_consistency_result</th>\n",
       "      <td>0.053681</td>\n",
       "      <td>-0.004329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>compromised_document_result</th>\n",
       "      <td>0.037747</td>\n",
       "      <td>-0.003376</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>police_record_result</th>\n",
       "      <td>0.016367</td>\n",
       "      <td>0.064646</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>face_comparison_result</th>\n",
       "      <td>-0.003584</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>data_comparison_result</th>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                    result_doc  result_facial\n",
       "result_doc                            1.000000       0.120733\n",
       "final_result                          0.978334       0.229878\n",
       "image_integrity_doc                   0.970759       0.103561\n",
       "conclusive_document_quality_result    0.950092       0.012388\n",
       "image_quality_result                  0.593581       0.138853\n",
       "visual_authenticity_doc               0.202962       0.213047\n",
       "visual_authenticity_result            0.202962       0.213047\n",
       "data_validation_result                0.177028      -0.008442\n",
       "result_facial                         0.120733       1.000000\n",
       "supported_document_result             0.114511       0.075406\n",
       "facial_image_integrity_result         0.113978       0.990176\n",
       "face_detection_result                 0.074487       0.219621\n",
       "colour_picture_result                 0.065001       0.058975\n",
       "data_consistency_result               0.053681      -0.004329\n",
       "compromised_document_result           0.037747      -0.003376\n",
       "police_record_result                  0.016367       0.064646\n",
       "face_comparison_result               -0.003584       1.000000\n",
       "data_comparison_result                     NaN            NaN"
      ]
     },
     "execution_count": 497,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr =detail.drop('sub_result', axis=1).corr()\n",
    "\n",
    "#look at the results\n",
    "corr = corr[['result_doc','result_facial']].sort_values(by='result_doc', ascending =False)\n",
    "corr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 498,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/opt/anaconda3/lib/python3.7/site-packages/matplotlib/colors.py:527: RuntimeWarning: invalid value encountered in less\n",
      "  xa[xa < 0] = -1\n"
     ]
    },
    {
     "data": {
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       "                <tr>\n",
       "                        <th id=\"T_1f477_level0_row0\" class=\"row_heading level0 row0\" >result_doc</th>\n",
       "                        <td id=\"T_1f477_row0_col0\" class=\"data row0 col0\" >1.000000</td>\n",
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       "                        <th id=\"T_1f477_level0_row1\" class=\"row_heading level0 row1\" >final_result</th>\n",
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       "                        <td id=\"T_1f477_row1_col1\" class=\"data row1 col1\" >0.229878</td>\n",
       "            </tr>\n",
       "            <tr>\n",
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       "            </tr>\n",
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       "                        <td id=\"T_1f477_row3_col1\" class=\"data row3 col1\" >0.012388</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1f477_level0_row4\" class=\"row_heading level0 row4\" >image_quality_result</th>\n",
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       "                        <td id=\"T_1f477_row4_col1\" class=\"data row4 col1\" >0.138853</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1f477_level0_row5\" class=\"row_heading level0 row5\" >visual_authenticity_doc</th>\n",
       "                        <td id=\"T_1f477_row5_col0\" class=\"data row5 col0\" >0.202962</td>\n",
       "                        <td id=\"T_1f477_row5_col1\" class=\"data row5 col1\" >0.213047</td>\n",
       "            </tr>\n",
       "            <tr>\n",
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       "                        <td id=\"T_1f477_row6_col1\" class=\"data row6 col1\" >0.213047</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1f477_level0_row7\" class=\"row_heading level0 row7\" >data_validation_result</th>\n",
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       "                        <td id=\"T_1f477_row7_col1\" class=\"data row7 col1\" >-0.008442</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1f477_level0_row8\" class=\"row_heading level0 row8\" >result_facial</th>\n",
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       "                        <td id=\"T_1f477_row8_col1\" class=\"data row8 col1\" >1.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1f477_level0_row9\" class=\"row_heading level0 row9\" >supported_document_result</th>\n",
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       "                        <td id=\"T_1f477_row9_col1\" class=\"data row9 col1\" >0.075406</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1f477_level0_row10\" class=\"row_heading level0 row10\" >facial_image_integrity_result</th>\n",
       "                        <td id=\"T_1f477_row10_col0\" class=\"data row10 col0\" >0.113978</td>\n",
       "                        <td id=\"T_1f477_row10_col1\" class=\"data row10 col1\" >0.990176</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1f477_level0_row11\" class=\"row_heading level0 row11\" >face_detection_result</th>\n",
       "                        <td id=\"T_1f477_row11_col0\" class=\"data row11 col0\" >0.074487</td>\n",
       "                        <td id=\"T_1f477_row11_col1\" class=\"data row11 col1\" >0.219621</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1f477_level0_row12\" class=\"row_heading level0 row12\" >colour_picture_result</th>\n",
       "                        <td id=\"T_1f477_row12_col0\" class=\"data row12 col0\" >0.065001</td>\n",
       "                        <td id=\"T_1f477_row12_col1\" class=\"data row12 col1\" >0.058975</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1f477_level0_row13\" class=\"row_heading level0 row13\" >data_consistency_result</th>\n",
       "                        <td id=\"T_1f477_row13_col0\" class=\"data row13 col0\" >0.053681</td>\n",
       "                        <td id=\"T_1f477_row13_col1\" class=\"data row13 col1\" >-0.004329</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1f477_level0_row14\" class=\"row_heading level0 row14\" >compromised_document_result</th>\n",
       "                        <td id=\"T_1f477_row14_col0\" class=\"data row14 col0\" >0.037747</td>\n",
       "                        <td id=\"T_1f477_row14_col1\" class=\"data row14 col1\" >-0.003376</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1f477_level0_row15\" class=\"row_heading level0 row15\" >police_record_result</th>\n",
       "                        <td id=\"T_1f477_row15_col0\" class=\"data row15 col0\" >0.016367</td>\n",
       "                        <td id=\"T_1f477_row15_col1\" class=\"data row15 col1\" >0.064646</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1f477_level0_row16\" class=\"row_heading level0 row16\" >face_comparison_result</th>\n",
       "                        <td id=\"T_1f477_row16_col0\" class=\"data row16 col0\" >-0.003584</td>\n",
       "                        <td id=\"T_1f477_row16_col1\" class=\"data row16 col1\" >1.000000</td>\n",
       "            </tr>\n",
       "            <tr>\n",
       "                        <th id=\"T_1f477_level0_row17\" class=\"row_heading level0 row17\" >data_comparison_result</th>\n",
       "                        <td id=\"T_1f477_row17_col0\" class=\"data row17 col0\" >nan</td>\n",
       "                        <td id=\"T_1f477_row17_col1\" class=\"data row17 col1\" >nan</td>\n",
       "            </tr>\n",
       "    </tbody></table>"
      ],
      "text/plain": [
       "<pandas.io.formats.style.Styler at 0x1c8667f90>"
      ]
     },
     "execution_count": 498,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr.style.background_gradient(cmap='coolwarm')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusions and Recommendations:\n",
    "\n",
    "'Know Your Customer’ (KYC) or 'Customer Due Diligence' (CDD), is a mandatory and extremely important process that allows for identity verification and further protection against corruption and fraud. The process, conducted by Veritas, identifies potential discrepancies between the information shared and identification document submitted through multiple checks (e.g. data integrity, visual authenticity and police record checks). In addition, any data extracted from the document through OCR is returned in the properties attribute.\n",
    "\n",
    "Throughout the analysis, we could verify a problematic period of time with anomalous low registration numbers and results (18th-22nd October), possibly a result of a Veritas technical software and/or data processing infrastructure problem, if not with the app itself. Furthermore, the results indicate an overall contraction of the KYC pass test rate during the time interval evaluated, possibly indicating a more structural issue.\n",
    "\n",
    "As an early adopter and daily user with related verification mechanisms, problems like these are often driven by technical issues. More specifically, incompatibility between the app/software and smartphone operating system and the versions being used.\n",
    "- Given the behaviour of the pass rate curve, it could make sense for users to be progressively installing a new App Version with verification issues. This problematic scenario could also explain the sudden drop in the number of registrations: the day the old app version would become unavailable.\n",
    "\n",
    "According to the API documentation, the document report combines software and an expert team to maximise fraud detection: \"The majority of documents will be processed instantly. However, when document analysis falls back to the expert review, the report status will be delivered asynchronously via webhook notifications.\" Asynchronously report delivery is absolute key information, meaning that the data is transmitted intermittently rather than in a steady stream.\n",
    "- The results of this analysis show an increase in suspicious image integrity and quality checks, possibly leading to a higher necessity for expert review instead of automatic checks. It could be the case that Veritas provided customer information with a lag or simply due to the lack of experts to perform the manual review.\n",
    "\n",
    "I would recommend the company to incentivise consumers in using national ID, instead of passport, as it seems to be the most reliable document. A higher level of collaboration and understanding of the veritas software and its interaction with the App (e.g. create a team or task force within Fin Crime with this particular focus), as well as a more extensive audit at Veritas processes and data reporting. Finally, the company should investigate the possibility of investing in its own internal software verification product and expert review team management, from a more long-term perspective. "
   ]
  }
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