diff --git a/ZawarKhan_khi_MongoDB.ipynb b/ZawarKhan_khi_MongoDB.ipynb
new file mode 100644
index 0000000..b7c1eab
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+++ b/ZawarKhan_khi_MongoDB.ipynb
@@ -0,0 +1,334 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                            import pandas as pd\n",
+    "import numpy as np\n",
+    "import json\n",
+    "import csv\n",
+    "import ijson\n",
+    "import codecs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "filename = \"rows.json\"\n",
+    "with open(filename, 'r') as f:\n",
+    "    objects = ijson.items(f, 'meta.view.columns.item')\n",
+    "    columns = list(objects)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "{u'name': u'sid', u'format': {}, u'dataTypeName': u'meta_data', u'fieldName': u':sid', u'renderTypeName': u'meta_data', u'position': 0, u'id': -1, u'flags': [u'hidden']}\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(columns[0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[u':sid',\n",
+       " u':id',\n",
+       " u':position',\n",
+       " u':created_at',\n",
+       " u':created_meta',\n",
+       " u':updated_at',\n",
+       " u':updated_meta',\n",
+       " u':meta',\n",
+       " u'date_of_stop',\n",
+       " u'time_of_stop',\n",
+       " u'agency',\n",
+       " u'subagency',\n",
+       " u'description',\n",
+       " u'location',\n",
+       " u'latitude',\n",
+       " u'longitude',\n",
+       " u'accident',\n",
+       " u'belts',\n",
+       " u'personal_injury',\n",
+       " u'property_damage',\n",
+       " u'fatal',\n",
+       " u'commercial_license',\n",
+       " u'hazmat',\n",
+       " u'commercial_vehicle',\n",
+       " u'alcohol',\n",
+       " u'work_zone',\n",
+       " u'state',\n",
+       " u'vehicle_type',\n",
+       " u'year',\n",
+       " u'make',\n",
+       " u'model',\n",
+       " u'color',\n",
+       " u'violation_type',\n",
+       " u'charge',\n",
+       " u'article',\n",
+       " u'contributed_to_accident',\n",
+       " u'race',\n",
+       " u'gender',\n",
+       " u'driver_city',\n",
+       " u'driver_state',\n",
+       " u'dl_state',\n",
+       " u'arrest_type',\n",
+       " u'geolocation']"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "column_names = [col[\"fieldName\"] for col in columns]\n",
+    "column_names"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "good_columns = [\n",
+    "    \"date_of_stop\", \n",
+    "    \"time_of_stop\", \n",
+    "    \"agency\", \n",
+    "    \"subagency\",\n",
+    "    \"description\",\n",
+    "    \"location\", \n",
+    "    \"latitude\", \n",
+    "    \"longitude\", \n",
+    "    \"vehicle_type\", \n",
+    "    \"year\", \n",
+    "    \"make\", \n",
+    "    \"model\", \n",
+    "    \"color\", \n",
+    "    \"violation_type\",\n",
+    "    \"race\", \n",
+    "    \"gender\", \n",
+    "    \"driver_state\", \n",
+    "    \"driver_city\", \n",
+    "    \"dl_state\",\n",
+    "    \"arrest_type\"\n",
+    "]\n",
+    "data = []\n",
+    "with open(filename, 'r') as f:\n",
+    "    objects = ijson.items(f, 'data.item')\n",
+    "    for row in objects:\n",
+    "        selected_row = []\n",
+    "        for item in good_columns:\n",
+    "            selected_row.append(row[column_names.index(item)])\n",
+    "        data.append(selected_row)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "df[\"date_of_stop\"]=pd.to_datetime(df[\"date_of_stop\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "df = pd.DataFrame(data, columns=good_columns)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "df.to_csv(\"rows.csv\",sep=\",\", encoding='UTF-8')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "ds = pd.read_csv(\"rows.csv\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "from pymongo import MongoClient\n",
+    "from datetime import datetime\n",
+    "client = MongoClient()\n",
+    "client = MongoClient('localhost', 27017)\n",
+    "db = client['Assignment']\n",
+    "posts = db.collections\n",
+    "posts.insert_many(df.to_dict('record'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    " client.close()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "client = MongoClient('localhost', 27017)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "db = client['Assignment']\n",
+    "collections = db.collections"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "#Q5.  how many stops are made by car color\n",
+    "car_stops = collections.aggregate([{\"$group\" : {\"_id\":\"$color\", \"count\":{\"$sum\":1}}}])\n",
+    "for No in car_stops:\n",
+    "    print No"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Q6 Find the value counts of arrest type\n",
+    "arrest_type =collections.aggregate([{\"$group\" : {\"_id\":\"$arrest_type\", \"count\":{\"$sum\":1}}}])\n",
+    "for No in arrest_type:\n",
+    "    print No"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "df[\"date_of_stop\"]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "# Q7  Find which days result in the most traffic stop\n",
+    "Days=collections.aggregate([{\"$project\":{\"No_of_daysRes\": { \"$dayOfWeek\": \"$date_of_stop\" },} },{\n",
+    "                                 \"$group\":  {\"_id\":\"$No_of_daysRes\", \"count\":{\"$sum\":1}}}])\n",
+    "\n",
+    "for doc in Days:\n",
+    "    print doc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 2",
+   "language": "python",
+   "name": "python2"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.11+"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}