Data analysis with MongoDB

MongoDB.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/anshul/DecisionStats/python-codes\n"
     ]
    }
   ],
   "source": [
    "cd /home/anshul/DecisionStats/python-codes/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Import all Required Libraries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import csv\n",
    "import json\n",
    "import pprint\n",
    "import sys\n",
    "sys.path.append(\"/usr/local/lib/python2.7/dist-packages\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "DATAFILE = 'BigDiamonds.csv'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### This function will read the CSV file and convert it in Dictionary form so that can be stored in MongoDB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def process_file(filename):\n",
    "    data = []\n",
    "    with open(filename, \"r\") as f:\n",
    "        reader = csv.DictReader(f)\n",
    "        for line in reader:\n",
    "          line[\"\"]=int(line[\"\"])\n",
    "          if line[\"price\"]!=\"NA\":\n",
    "            line[\"price\"]=float(line[\"price\"])\n",
    "          line[\"carat\"]=float(line[\"carat\"])\n",
    "          if line[\"x\"]!=\"NA\":\n",
    "            line[\"x\"]=float(line[\"x\"])\n",
    "          if line[\"y\"]!=\"NA\":          \n",
    "            line[\"y\"]=float(line[\"y\"])\n",
    "          if line[\"z\"]!=\"NA\":                    \n",
    "            line[\"z\"]=float(line[\"z\"])\n",
    "          line[\"depth\"]=float(line[\"depth\"])\n",
    "          data.append(line)\n",
    "    return data\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Function to store Documents in examples database and in collection BigDiamonds in MongoDB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def insert_data(data, db):\n",
    "\n",
    "    db.BigDiamonds.insert_many(data)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### This will store the csv data in json file and in MongoDB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def csvToMongo():\n",
    "    data = process_file(DATAFILE)\n",
    "    \n",
    "    with open('BigDiamonds.json',\"w\") as f:\n",
    "        json.dump(data,f)\n",
    "    \n",
    "    \n",
    "    from pymongo import MongoClient\n",
    "    client = MongoClient(\"mongodb://localhost:27017\")\n",
    "    db = client.examples\n",
    "    insert_data(data, db)\n",
    "    print db.BigDiamonds.find_one()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{u'': 1, u'cut': u'V.Good', u'color': u'K', u'clarity': u'I1', u'price': u'NA', u'measurements': u'3.96 x 3.95 x 2.52', u'carat': 0.25, u'depth': 63.7, u'cert': u'GIA', u'z': 2.52, u'table': u'59', u'y': 3.95, u'x': 3.96, u'_id': ObjectId('56962361ce42082cb0d619ef')}\n"
     ]
    }
   ],
   "source": [
    "csvToMongo()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### To run aggregate queries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "def aggregate(db, pipeline):\n",
    "    return [doc for doc in db.BigDiamonds.aggregate(pipeline)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from pymongo import MongoClient\n",
    "client = MongoClient('localhost:27017')\n",
    "db = client.examples\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Viewing First 20 documents of the data in MongoDB"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{u'': 1,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619ef'),\n",
      " u'carat': 0.25,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'I1',\n",
      " u'color': u'K',\n",
      " u'cut': u'V.Good',\n",
      " u'depth': 63.7,\n",
      " u'measurements': u'3.96 x 3.95 x 2.52',\n",
      " u'price': u'NA',\n",
      " u'table': u'59',\n",
      " u'x': 3.96,\n",
      " u'y': 3.95,\n",
      " u'z': 2.52}\n",
      "{u'': 2,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619f0'),\n",
      " u'carat': 0.23,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'I1',\n",
      " u'color': u'G',\n",
      " u'cut': u'Good',\n",
      " u'depth': 58.1,\n",
      " u'measurements': u'4.00 x 4.05 x 2.30',\n",
      " u'price': u'NA',\n",
      " u'table': u'61',\n",
      " u'x': 4.0,\n",
      " u'y': 4.05,\n",
      " u'z': 2.3}\n",
      "{u'': 3,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619f1'),\n",
      " u'carat': 0.34,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'I2',\n",
      " u'color': u'J',\n",
      " u'cut': u'Good',\n",
      " u'depth': 58.7,\n",
      " u'measurements': u'4.56 x 4.53 x 2.67',\n",
      " u'price': u'NA',\n",
      " u'table': u'58',\n",
      " u'x': 4.56,\n",
      " u'y': 4.53,\n",
      " u'z': 2.67}\n",
      "{u'': 4,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619f2'),\n",
      " u'carat': 0.21,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'I1',\n",
      " u'color': u'D',\n",
      " u'cut': u'V.Good',\n",
      " u'depth': 60.6,\n",
      " u'measurements': u'3.80 x 3.82 x 2.31',\n",
      " u'price': u'NA',\n",
      " u'table': u'60',\n",
      " u'x': 3.8,\n",
      " u'y': 3.82,\n",
      " u'z': 2.31}\n",
      "{u'': 5,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619f3'),\n",
      " u'carat': 0.31,\n",
      " u'cert': u'EGL',\n",
      " u'clarity': u'I1',\n",
      " u'color': u'K',\n",
      " u'cut': u'V.Good',\n",
      " u'depth': 62.2,\n",
      " u'measurements': u'4.35 x 4.26 x 2.68',\n",
      " u'price': u'NA',\n",
      " u'table': u'59',\n",
      " u'x': 4.35,\n",
      " u'y': 4.26,\n",
      " u'z': 2.68}\n",
      "{u'': 6,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619f4'),\n",
      " u'carat': 0.2,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'SI2',\n",
      " u'color': u'G',\n",
      " u'cut': u'Good',\n",
      " u'depth': 64.4,\n",
      " u'measurements': u'3.74 x 3.67 x 2.38',\n",
      " u'price': u'NA',\n",
      " u'table': u'60',\n",
      " u'x': 3.74,\n",
      " u'y': 3.67,\n",
      " u'z': 2.38}\n",
      "{u'': 7,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619f5'),\n",
      " u'carat': 0.2,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'SI2',\n",
      " u'color': u'G',\n",
      " u'cut': u'Good',\n",
      " u'depth': 62.6,\n",
      " u'measurements': u'3.72 x 3.65 x 2.31',\n",
      " u'price': u'NA',\n",
      " u'table': u'63',\n",
      " u'x': 3.72,\n",
      " u'y': 3.65,\n",
      " u'z': 2.31}\n",
      "{u'': 8,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619f6'),\n",
      " u'carat': 0.22,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'I1',\n",
      " u'color': u'D',\n",
      " u'cut': u'V.Good',\n",
      " u'depth': 59.2,\n",
      " u'measurements': u'3.95 x 3.97 x 2.34',\n",
      " u'price': u'NA',\n",
      " u'table': u'61',\n",
      " u'x': 3.95,\n",
      " u'y': 3.97,\n",
      " u'z': 2.34}\n",
      "{u'': 9,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619f7'),\n",
      " u'carat': 0.23,\n",
      " u'cert': u'IGI',\n",
      " u'clarity': u'SI2',\n",
      " u'color': u'K',\n",
      " u'cut': u'V.Good',\n",
      " u'depth': 63.6,\n",
      " u'measurements': u'3.87 x 3.90 x 2.47',\n",
      " u'price': u'NA',\n",
      " u'table': u'57.5',\n",
      " u'x': 3.87,\n",
      " u'y': 3.9,\n",
      " u'z': 2.47}\n",
      "{u'': 10,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619f8'),\n",
      " u'carat': 0.2,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'SI1',\n",
      " u'color': u'F',\n",
      " u'cut': u'Good',\n",
      " u'depth': 54.9,\n",
      " u'measurements': u'3.83 x 4.00 x 2.14',\n",
      " u'price': u'NA',\n",
      " u'table': u'65',\n",
      " u'x': 3.83,\n",
      " u'y': 4.0,\n",
      " u'z': 2.14}\n",
      "{u'': 11,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619f9'),\n",
      " u'carat': 0.24,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'I1',\n",
      " u'color': u'F',\n",
      " u'cut': u'V.Good',\n",
      " u'depth': 62.5,\n",
      " u'measurements': u'3.96 x 3.90 x 2.46',\n",
      " u'price': u'NA',\n",
      " u'table': u'58',\n",
      " u'x': 3.96,\n",
      " u'y': 3.9,\n",
      " u'z': 2.46}\n",
      "{u'': 12,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619fa'),\n",
      " u'carat': 0.2,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'SI2',\n",
      " u'color': u'G',\n",
      " u'cut': u'V.Good',\n",
      " u'depth': 60.2,\n",
      " u'measurements': u'3.76 x 3.79 x 2.27',\n",
      " u'price': u'NA',\n",
      " u'table': u'61',\n",
      " u'x': 3.76,\n",
      " u'y': 3.79,\n",
      " u'z': 2.27}\n",
      "{u'': 13,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619fb'),\n",
      " u'carat': 0.22,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'SI2',\n",
      " u'color': u'D',\n",
      " u'cut': u'V.Good',\n",
      " u'depth': 59.7,\n",
      " u'measurements': u'3.94 x 3.93 x 2.35',\n",
      " u'price': u'NA',\n",
      " u'table': u'57',\n",
      " u'x': 3.94,\n",
      " u'y': 3.93,\n",
      " u'z': 2.35}\n",
      "{u'': 14,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619fc'),\n",
      " u'carat': 0.23,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'SI2',\n",
      " u'color': u'G',\n",
      " u'cut': u'Good',\n",
      " u'depth': 55.5,\n",
      " u'measurements': u'4.12 x 4.04 x 2.27',\n",
      " u'price': u'NA',\n",
      " u'table': u'62',\n",
      " u'x': 4.12,\n",
      " u'y': 4.04,\n",
      " u'z': 2.27}\n",
      "{u'': 15,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619fd'),\n",
      " u'carat': 0.23,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'I1',\n",
      " u'color': u'F',\n",
      " u'cut': u'V.Good',\n",
      " u'depth': 62.5,\n",
      " u'measurements': u'3.91 x 3.93 x 2.45',\n",
      " u'price': u'NA',\n",
      " u'table': u'59',\n",
      " u'x': 3.91,\n",
      " u'y': 3.93,\n",
      " u'z': 2.45}\n",
      "{u'': 16,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619fe'),\n",
      " u'carat': 0.23,\n",
      " u'cert': u'IGI',\n",
      " u'clarity': u'SI2',\n",
      " u'color': u'J',\n",
      " u'cut': u'V.Good',\n",
      " u'depth': 63.7,\n",
      " u'measurements': u'3.88 x 3.94 x 2.49',\n",
      " u'price': u'NA',\n",
      " u'table': u'52.5',\n",
      " u'x': 3.88,\n",
      " u'y': 3.94,\n",
      " u'z': 2.49}\n",
      "{u'': 17,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619ff'),\n",
      " u'carat': 0.2,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'VS2',\n",
      " u'color': u'E',\n",
      " u'cut': u'Good',\n",
      " u'depth': 60.4,\n",
      " u'measurements': u'3.81 x 3.74 x 2.28',\n",
      " u'price': u'NA',\n",
      " u'table': u'62',\n",
      " u'x': 3.81,\n",
      " u'y': 3.74,\n",
      " u'z': 2.28}\n",
      "{u'': 18,\n",
      " u'_id': ObjectId('56962361ce42082cb0d61a00'),\n",
      " u'carat': 0.29,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'I1',\n",
      " u'color': u'G',\n",
      " u'cut': u'V.Good',\n",
      " u'depth': 64.0,\n",
      " u'measurements': u'4.17 x 4.19 x 2.67',\n",
      " u'price': u'NA',\n",
      " u'table': u'58',\n",
      " u'x': 4.17,\n",
      " u'y': 4.19,\n",
      " u'z': 2.67}\n",
      "{u'': 19,\n",
      " u'_id': ObjectId('56962361ce42082cb0d61a01'),\n",
      " u'carat': 0.31,\n",
      " u'cert': u'EGL',\n",
      " u'clarity': u'I1',\n",
      " u'color': u'F',\n",
      " u'cut': u'V.Good',\n",
      " u'depth': 62.8,\n",
      " u'measurements': u'4.33 x 4.27 x 2.67',\n",
      " u'price': u'NA',\n",
      " u'table': u'59',\n",
      " u'x': 4.33,\n",
      " u'y': 4.27,\n",
      " u'z': 2.67}\n",
      "{u'': 20,\n",
      " u'_id': ObjectId('56962361ce42082cb0d61a02'),\n",
      " u'carat': 0.21,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'SI1',\n",
      " u'color': u'E',\n",
      " u'cut': u'Good',\n",
      " u'depth': 62.5,\n",
      " u'measurements': u'3.81 x 3.73 x 2.35',\n",
      " u'price': u'NA',\n",
      " u'table': u'66',\n",
      " u'x': 3.81,\n",
      " u'y': 3.73,\n",
      " u'z': 2.35}\n"
     ]
    }
   ],
   "source": [
    "count=0\n",
    "for doc in db.BigDiamonds.find():\n",
    "    if count==20:\n",
    "        break\n",
    "    pprint.pprint(doc)\n",
    "    count+=1\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Number of Documents"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "598024"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "db.BigDiamonds.find().count()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Selection Query "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{u'': 2,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619f0'),\n",
      " u'carat': 0.23,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'I1',\n",
      " u'color': u'G',\n",
      " u'cut': u'Good',\n",
      " u'depth': 58.1,\n",
      " u'measurements': u'4.00 x 4.05 x 2.30',\n",
      " u'price': u'NA',\n",
      " u'table': u'61',\n",
      " u'x': 4.0,\n",
      " u'y': 4.05,\n",
      " u'z': 2.3}\n",
      "{u'': 3,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619f1'),\n",
      " u'carat': 0.34,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'I2',\n",
      " u'color': u'J',\n",
      " u'cut': u'Good',\n",
      " u'depth': 58.7,\n",
      " u'measurements': u'4.56 x 4.53 x 2.67',\n",
      " u'price': u'NA',\n",
      " u'table': u'58',\n",
      " u'x': 4.56,\n",
      " u'y': 4.53,\n",
      " u'z': 2.67}\n",
      "{u'': 6,\n",
      " u'_id': ObjectId('56962361ce42082cb0d619f4'),\n",
      " u'carat': 0.2,\n",
      " u'cert': u'GIA',\n",
      " u'clarity': u'SI2',\n",
      " u'color': u'G',\n",
      " u'cut': u'Good',\n",
      " u'depth': 64.4,\n",
      " u'measurements': u'3.74 x 3.67 x 2.38',\n",
      " u'price': u'NA',\n",
      " u'table': u'60',\n",
      " u'x': 3.74,\n",
      " u'y': 3.67,\n",
      " u'z': 2.38}\n"
     ]
    }
   ],
   "source": [
    "for doc in db.BigDiamonds.find({\"cut\":\"Good\"})[:3]:\n",
    "    pprint.pprint(doc)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Running aggregation queries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{u'_id': u'null',\n",
      "  u'average_carat': 1.0722833163976402,\n",
      "  u'average_price': 8753.0179738863}]\n"
     ]
    }
   ],
   "source": [
    "def make_pipeline():\n",
    "    # complete the aggregation pipeline\n",
    "    pipeline = [{\"$match\":{\"price\": {\"$ne\":\"NA\"}\n",
    "                           }\n",
    "                },         \n",
    "                {\"$group\":{\"_id\":\"null\",\n",
    "                           \"average_price\":{\"$avg\":\"$price\"},\n",
    "                           \"average_carat\":{\"$avg\":\"$carat\"}\n",
    "                            }\n",
    "                 }\n",
    "                ]\n",
    "    return pipeline\n",
    "pipeline = make_pipeline()\n",
    "result = aggregate(db, pipeline)\n",
    "pprint.pprint(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{u'_id': u'K', u'average_carat': 1.4950645585278706},\n",
      " {u'_id': u'L', u'average_carat': 1.3632705053852925},\n",
      " {u'_id': u'J', u'average_carat': 1.3475398796936426},\n",
      " {u'_id': u'I', u'average_carat': 1.2712822628836897},\n",
      " {u'_id': u'H', u'average_carat': 1.2099406596704285},\n",
      " {u'_id': u'G', u'average_carat': 1.063840796640399},\n",
      " {u'_id': u'F', u'average_carat': 0.9410531884197142},\n",
      " {u'_id': u'E', u'average_carat': 0.8318823743354592},\n",
      " {u'_id': u'D', u'average_carat': 0.8266182262664965}]\n"
     ]
    }
   ],
   "source": [
    "def make_pipeline():\n",
    "    # complete the aggregation pipeline\n",
    "    pipeline = [{\"$group\":{\"_id\":\"$color\",\n",
    "                           \"average_carat\":{\"$avg\":\"$carat\"},\n",
    "                            }\n",
    "                 },\n",
    "                {\"$sort\":{\"average_carat\":-1}\n",
    "                }\n",
    "                ]\n",
    "    return pipeline\n",
    "pipeline = make_pipeline()\n",
    "result = aggregate(db, pipeline)\n",
    "pprint.pprint(result)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[{u'_id': u'Ideal', u'average_carat': 1.120193559039977},\n",
      " {u'_id': u'V.Good', u'average_carat': 1.0247596745924552},\n",
      " {u'_id': u'Good', u'average_carat': 0.9003031166220351}]\n"
     ]
    }
   ],
   "source": [
    "def make_pipeline():\n",
    "    # complete the aggregation pipeline\n",
    "    pipeline = [{\"$group\":{\"_id\":\"$cut\",\n",
    "                           \"average_carat\":{\"$avg\":\"$carat\"},\n",
    "                            }\n",
    "                 },\n",
    "                {\"$sort\":{\"average_carat\":-1}\n",
    "                }\n",
    "                ]\n",
    "    return pipeline\n",
    "pipeline = make_pipeline()\n",
    "result = aggregate(db, pipeline)\n",
    "pprint.pprint(result)"
   ]
  },
  {
   "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": 0
}