Google Popular Times.ipynb

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   "metadata": {},
   "source": [
    "# Neighborhood Activity Pulse"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this notebook, we look into Google's Popular Times feature, and build a tool able to extract the surrounding activity at any given point in a city, within a defined cathcment area."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Enter here you Google API key\n",
    "API_key = \"empty_key\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
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   "outputs": [],
   "source": [
    "import populartimes\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "\n",
    "import numpy as np\n",
    "\n",
    "from math import sin, cos, sqrt, atan2, radians\n",
    "import math\n",
    "\n",
    "import folium"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Get Data on Surrounding Stores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
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    "def Get_Stores_Around(lat,long,square_size):\n",
    "    \n",
    "    R = 6378.1 #Radius of the Earth\n",
    "    brng_1 = -0.785398 #Bearing is -45 degrees converted to radians.\n",
    "    brng_2 = 2.18166 #Bearing is 125 degrees converted to radians.\n",
    "    d = square_size/1000 #Distance in km\n",
    "\n",
    "    lat1 = math.radians(lat) #Current lat point converted to radians\n",
    "    lon1 = math.radians(long) #Current long point converted to radians\n",
    "\n",
    "    lat2 = math.asin( math.sin(lat1)*math.cos(d/R) +\n",
    "         math.cos(lat1)*math.sin(d/R)*math.cos(brng_1))\n",
    "\n",
    "    lon2 = lon1 + math.atan2(math.sin(brng_1)*math.sin(d/R)*math.cos(lat1),\n",
    "                 math.cos(d/R)-math.sin(lat1)*math.sin(lat2))\n",
    "\n",
    "    lat2 = math.degrees(lat2)\n",
    "    lon2 = math.degrees(lon2)\n",
    "    \n",
    "    lat3 = math.asin( math.sin(lat1)*math.cos(d/R) +\n",
    "         math.cos(lat1)*math.sin(d/R)*math.cos(brng_2))\n",
    "\n",
    "    lon3 = lon1 + math.atan2(math.sin(brng_2)*math.sin(d/R)*math.cos(lat1),\n",
    "                 math.cos(d/R)-math.sin(lat1)*math.sin(lat2))\n",
    "\n",
    "    lat3 = math.degrees(lat3)\n",
    "    lon3 = math.degrees(lon3)\n",
    "    \n",
    "    Stores = populartimes.get(API_key, [\"store\"], (lat2, lon2), (lat3, lon3))\n",
    "    print('List of retails found in catchment area:')\n",
    "    print('')\n",
    "    \n",
    "    for i in range(len(Stores)):\n",
    "        print(str(i+1) +'- ' + Stores[i]['name'])\n",
    "        \n",
    "    return Stores"
   ]
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   "execution_count": 3,
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     "text": [
      "List of retails found in catchment area:\n",
      "\n",
      "1- The North Face\n",
      "2- M & O Market & Deli\n",
      "3- rag & bone\n",
      "4- ALEX AND ANI\n",
      "5- UNTUCKit\n",
      "6- Rapha New York\n",
      "7- Sadelle's\n",
      "8- 260 Sample Sale - 150 Greene\n",
      "9- BAPE STORE® NEW YORK\n",
      "10- Moncler\n",
      "11- Burberry\n",
      "12- Apple SoHo\n",
      "13- Bite Beauty Lip Lab\n",
      "14- Canada Goose New York\n",
      "15- Ground Support Cafe\n",
      "16- The Dr. Martens Store\n",
      "17- Sonos Store\n",
      "18- Coach\n",
      "19- Louis Vuitton New York SoHo\n",
      "20- TED BAKER SoHo Store\n",
      "21- Ray-Ban\n",
      "22- Birch Coffee\n",
      "23- CHANEL NEW YORK SOHO\n",
      "24- Warby Parker\n",
      "25- Mansur Gavriel\n",
      "26- Flying Solo\n",
      "27- Nespresso SoHo Boutique\n",
      "28- Chobani SoHo\n",
      "29- Tiffany & Co.\n",
      "30- A.P.C.\n",
      "31- TASCHEN Store New York\n",
      "32- Cole Haan\n"
     ]
    }
   ],
   "source": [
    "Stores = Get_Stores_Around(40.725316, -73.999854 ,250)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Visualize Stores' location"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 170,
   "metadata": {},
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  "stroke": true,
  "weight": 3
}
                ).addTo(map_4b9a3f53bdba4af4962fea8525ba6395);
            
    
            var circle_marker_964947c47744474288bbd5c61a5673b8 = L.circleMarker(
                [40.7261213,-74.0018963],
                {
  "bubblingMouseEvents": true,
  "color": "#0080bb",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "#0080bb",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 1,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_4b9a3f53bdba4af4962fea8525ba6395);
            
    
            var circle_marker_111b9b6fa7314151995461a242d6dbb4 = L.circleMarker(
                [40.7249909,-74.000466],
                {
  "bubblingMouseEvents": true,
  "color": "#0080bb",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "#0080bb",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 1,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_4b9a3f53bdba4af4962fea8525ba6395);
            
    
            var circle_marker_1bb9e5aed30144da8cb30bd57cfe4265 = L.circleMarker(
                [40.7254355,-73.9992512],
                {
  "bubblingMouseEvents": true,
  "color": "#0080bb",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "#0080bb",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 1,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_4b9a3f53bdba4af4962fea8525ba6395);
            
    
            var circle_marker_486b8707f57042799d7262c4e93d4a17 = L.circleMarker(
                [40.7261025,-74.001155],
                {
  "bubblingMouseEvents": true,
  "color": "#0080bb",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "#0080bb",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 1,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_4b9a3f53bdba4af4962fea8525ba6395);
            
    
            var circle_marker_0d1484d5b17f48ae99ebcac07497b218 = L.circleMarker(
                [40.7248782,-74.00028910000002],
                {
  "bubblingMouseEvents": true,
  "color": "#0080bb",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "#0080bb",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 1,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_4b9a3f53bdba4af4962fea8525ba6395);
            
    
            var circle_marker_9cb27663183945cda91ecf50be05809c = L.circleMarker(
                [40.7242006,-74.00023829999999],
                {
  "bubblingMouseEvents": true,
  "color": "#0080bb",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "#0080bb",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 1,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_4b9a3f53bdba4af4962fea8525ba6395);
            
    
            var circle_marker_444834e416514bfab8f197f8fcc23b43 = L.circleMarker(
                [40.7246704,-74.0009838],
                {
  "bubblingMouseEvents": true,
  "color": "#0080bb",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "#0080bb",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 1,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_4b9a3f53bdba4af4962fea8525ba6395);
            
    
            var circle_marker_bf44cc24a75847ebaaa8af61101590ce = L.circleMarker(
                [40.7245098,-74.0000561],
                {
  "bubblingMouseEvents": true,
  "color": "#0080bb",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "#0080bb",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 1,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_4b9a3f53bdba4af4962fea8525ba6395);
            
    
            var circle_marker_b3e4f450b7184145ac5e969a01a03aa3 = L.circleMarker(
                [40.7242595,-74.00184910000002],
                {
  "bubblingMouseEvents": true,
  "color": "#0080bb",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "#0080bb",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 1,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_4b9a3f53bdba4af4962fea8525ba6395);
            
    
            var circle_marker_33b5b0f1d1a3428599798e90d045bd40 = L.circleMarker(
                [40.72533,-74.0008938],
                {
  "bubblingMouseEvents": true,
  "color": "#0080bb",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "#0080bb",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 1,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_4b9a3f53bdba4af4962fea8525ba6395);
            
    
            var circle_marker_066cee79eea948c9b34702b257857ea5 = L.circleMarker(
                [40.725316,-73.999854],
                {
  "bubblingMouseEvents": true,
  "color": "red",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "red",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 5,
  "stroke": true,
  "weight": 3
}
                ).addTo(map_4b9a3f53bdba4af4962fea8525ba6395);
            
    
            var circle_marker_4b7fffe7098f4a6391b8b8b41256c01d = L.circleMarker(
                [40.725316,-73.999854],
                {
  "bubblingMouseEvents": true,
  "color": "red",
  "dashArray": null,
  "dashOffset": null,
  "fill": false,
  "fillColor": "red",
  "fillOpacity": 0.2,
  "fillRule": "evenodd",
  "lineCap": "round",
  "lineJoin": "round",
  "opacity": 1.0,
  "radius": 230,
  "stroke": true,
  "weight": 0.4
}
                ).addTo(map_4b9a3f53bdba4af4962fea8525ba6395);
            
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0xf4291a95c0>"
      ]
     },
     "execution_count": 170,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lat_ = []\n",
    "long_ = []\n",
    "\n",
    "for i in range(len(Stores)):\n",
    "    lat_.append(Stores[i]['coordinates']['lat'])\n",
    "    long_.append(Stores[i]['coordinates']['lng'])\n",
    "    \n",
    "#New York City Coordinates\n",
    "NYC_COORD = [40.725316, -73.999854]\n",
    "\n",
    "# Sample (0.33% over 1.5 million) \n",
    "#sample_coords = rnd.sample(list(coords),5000)\n",
    "\n",
    "# Build map \n",
    "map_nyc = folium.Map(location=NYC_COORD, zoom_start=17, \n",
    "tiles='cartodbpositron', width=950, height=500)\n",
    "\n",
    "# Plot coordinates using comprehension list\n",
    "[folium.CircleMarker((lat_[i],long_[i]), radius=1,\n",
    "                color='#0080bb', fill_color='#0080bb').add_to(map_nyc) \n",
    "for i in range(len(lat_))]\n",
    "\n",
    "folium.CircleMarker(NYC_COORD, radius=5,\n",
    "                color='red', fill_color='red').add_to(map_nyc) \n",
    "\n",
    "folium.CircleMarker(NYC_COORD, radius=230,\n",
    "                color='red', fill_color='red', weight=.4).add_to(map_nyc) \n",
    "\n",
    "# Display map in Jupyter\n",
    "map_nyc"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### One Day"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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krdad4iCwppD0MWA78J1W19IokvYAPka2O6Fd7QbsDbwa+CfgMkkjXSZmInsv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\nLwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x55c34192e8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Day index\n",
    "index = 6\n",
    "store_id = 24\n",
    "\n",
    "Days = [\"Monday\",\"Tuesday\",\"Wednesday\",\"Thursday\",\"Friday\",\"Saturday\",\"Sunday\"]\n",
    "Counts = Stores[store_id]['populartimes'][index]['data']\n",
    "\n",
    "#Plot Day Count\n",
    "plt.bar(np.arange(9 , len(Counts)-4),Counts[9:len(Counts)-4])\n",
    "plt.xlabel('Hours')\n",
    "plt.ylabel('People Count')\n",
    "plt.grid(True)\n",
    "plt.title(Days[index] + \" @ \" +Stores[store_id]['name'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### One Week"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Helper function\n",
    "def draw_histo(data, title, max_, gaps, y_legend):\n",
    "    #Plot Day Count\n",
    "    plt.bar(np.arange(len(data)),data)\n",
    "    plt.title(title)\n",
    "    plt.xlabel('Hours')\n",
    "    plt.xticks([])\n",
    "    plt.ylabel(y_legend)\n",
    "    plt.grid(linestyle='dotted', linewidth=.8)\n",
    "\n",
    "    fig_size = plt.rcParams[\"figure.figsize\"]\n",
    "    fig_size[0] = 20\n",
    "    fig_size[1] = 5\n",
    "    plt.yticks(np.linspace(0, max_, num=gaps))\n",
    "    plt.rcParams[\"figure.figsize\"] = fig_size\n",
    "\n",
    "    for spine in plt.gca().spines.values():\n",
    "        spine.set_visible(False)\n",
    "\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### One Store"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "#Aggregate Count per week day\n",
    "week_hours = []\n",
    "Counts_week = []\n",
    "hours = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24]\n",
    "index = 23;\n",
    "\n",
    "for i in range(len(Days)):\n",
    "    week_hours = np.concatenate((week_hours, hours), axis=0)\n",
    "    Counts_week = np.concatenate((Counts_week, Stores[index]['populartimes'][i]['data']), axis=0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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itl5TJTMfHBGnAx8AtgD9wB9kZvl4xCdJkiRJkqSZTVtUioh3Z+ZVEfHszHxt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\n9Sj+lAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x55cae4c630>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot histogram\n",
    "draw_histo(Counts_week,\"Store : \" + Stores[index]['name'], 100, 11, \"Activity in Store (% of maximal weekly peak)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### All Stores in a 250 meters radius"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def Plot_Stores_Around(Stores, width):\n",
    "    \n",
    "    nb_stores  = len(Stores);\n",
    "\n",
    "    for j in range(nb_stores-1):\n",
    "        #Aggregate Count per week day\n",
    "        week_hours = []\n",
    "        Counts_week = []\n",
    "        hours = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24]\n",
    "        index = j;\n",
    "\n",
    "        for i in range(len(Days)):\n",
    "            week_hours = np.concatenate((week_hours, hours), axis=0)\n",
    "            Counts_week = np.concatenate((Counts_week, Stores[j]['populartimes'][i]['data']), axis=0)\n",
    "\n",
    "        plt.bar(np.arange(len(Counts_week)),Counts_week)\n",
    "\n",
    "        fig_size = plt.rcParams[\"figure.figsize\"]\n",
    "        fig_size[0] = 20\n",
    "        fig_size[1] = 15\n",
    "\n",
    "        height = round(nb_stores/width)\n",
    "\n",
    "        plt.subplot(height,width,j+1)\n",
    "        plt.ylabel('Activity')\n",
    "        plt.xticks([])\n",
    "        plt.yticks(np.linspace(0, 100, num=11), fontsize=7)\n",
    "        plt.grid(linestyle='dotted', linewidth=.8)\n",
    "        plt.title(Stores[index]['name'])\n",
    "        #plt.bar(np.arange(len(Counts_week)),Counts_week)\n",
    "        for spine in plt.gca().spines.values():\n",
    "            spine.set_visible(False)\n",
    "\n",
    "\n",
    "        plt.rcParams[\"figure.figsize\"] = fig_size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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V+F9Cg07hTmvFyxonzFe2hDDnSQ+hXvFkwgTcleYXuZpwFf5+Qkx9dbzM++JlvgO4D3g3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apF7dSHNM6PrdqsfZ/W+bkZyzH2Ru0va02YKx/MY93rAEs9N8o0L+pFGrXxRhqdVW5ST5p2u6H9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e5l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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x55cafc8d68>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "Plot_Stores_Around(Stores, 4)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Average of All Stores in a 250 meters radius"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "hours = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24]\n",
    "days_ = []\n",
    "\n",
    "for i in range(len(Days)):\n",
    "    this_day = []\n",
    "    for j in range(len(hours)):\n",
    "        this_hour = []\n",
    "        for k in range(len(Stores)):\n",
    "            #check if values values exist for a given day for a given shop\n",
    "            #if no data, don't append value\n",
    "            if(np.array(Stores[k]['populartimes'][i]['data']).sum() != 0):\n",
    "                this_hour.append(Stores[k]['populartimes'][i]['data'][j])\n",
    "        this_hour_np = np.array(this_hour)\n",
    "        this_hour_avg = np.average(this_hour_np)\n",
    "        this_day.append(this_hour_avg)\n",
    "    days_.append(this_day)\n",
    "    \n",
    "Days_aggregate_avg = [item for sublist in days_ for item in sublist]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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T6SiQwExPe0vgoW2JSJIkSZIkSR1v1qJSZu6a7bOImKnQJEmSJEmSpFNE13wrRMRrpi13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\nHahOpQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x55cb7abe48>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot Day Count\n",
    "draw_histo(Days_aggregate_avg, \"Average\", 100, 11, \"Activity in Store (% of maximal weekly peak)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Median of All Stores in a 150 meters radius"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "days_ = []\n",
    "\n",
    "for i in range(len(Days)):\n",
    "    this_day = []\n",
    "    for j in range(len(hours)):\n",
    "        this_hour = []\n",
    "        for k in range(len(Stores)):\n",
    "            #check if values values exist for a given day for a given shop\n",
    "            #if no data, don't append value\n",
    "            if(np.array(Stores[k]['populartimes'][i]['data']).sum() != 0):\n",
    "                this_hour.append(Stores[k]['populartimes'][i]['data'][j])\n",
    "        this_hour_np = np.array(this_hour)\n",
    "        this_hour_median = np.median(this_hour_np)\n",
    "        this_day.append(this_hour_median)\n",
    "    days_.append(this_day)\n",
    "    \n",
    "Days_aggregate_median = [item for sublist in days_ for item in sublist]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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F+NFmewL7OxWUJEmSJEmSutt8T3/76eUMRJIkSZIkSavHgjfqjojzI+LtEfE3zeUfjYgb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\nvXbGXq1WO+6cu2dj/bTaT92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      "text/plain": [
       "<matplotlib.figure.Figure at 0x55cb5ffb70>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Plot Day Count\n",
    "draw_histo(Days_aggregate_median, \"Median\", 100, 11, \"Activity in Store (% of maximal weekly peak)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Test Store Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this part, we want to compare data aggregated thanks to a set of sensors placed into a store in Manhattan, to data collected with Google Popular Times for retails surrounding our test store. We want to contrast the performance of our store with its neighbors and see the type of insight that we can produce. \n",
    "\n",
    "Let's start by importing the data of our test store."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df1=pd.read_csv(\"C:/Users/TempUser/Desktop/Future_Retail/Bitsence/grid_hourly_week1_goodgoods.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style>\n",
       "    .dataframe thead tr:only-child th {\n",
       "        text-align: right;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: left;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>grilla</th>\n",
       "      <th>coordinate_x</th>\n",
       "      <th>coordinate_y</th>\n",
       "      <th>timer_hour</th>\n",
       "      <th>mac_unique</th>\n",
       "      <th>full_hour</th>\n",
       "      <th>day</th>\n",
       "      <th>day_st</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>h10_v1</td>\n",
       "      <td>9.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>507936</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>21164</td>\n",
       "      <td>11-Dec-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>h10_v1</td>\n",
       "      <td>9.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>507937</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>21164</td>\n",
       "      <td>11-Dec-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>h10_v1</td>\n",
       "      <td>9.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>507938</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>21164</td>\n",
       "      <td>11-Dec-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>h10_v1</td>\n",
       "      <td>9.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>507939</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>21164</td>\n",
       "      <td>11-Dec-17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>h10_v1</td>\n",
       "      <td>9.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>507940</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>21164</td>\n",
       "      <td>11-Dec-17</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   grilla  coordinate_x  coordinate_y  timer_hour  mac_unique  full_hour  \\\n",
       "0  h10_v1           9.5           0.5      507936           0          0   \n",
       "1  h10_v1           9.5           0.5      507937           0          1   \n",
       "2  h10_v1           9.5           0.5      507938           0          2   \n",
       "3  h10_v1           9.5           0.5      507939           0          3   \n",
       "4  h10_v1           9.5           0.5      507940           0          4   \n",
       "\n",
       "     day     day_st  \n",
       "0  21164  11-Dec-17  \n",
       "1  21164  11-Dec-17  \n",
       "2  21164  11-Dec-17  \n",
       "3  21164  11-Dec-17  \n",
       "4  21164  11-Dec-17  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "days = df1['day_st'].unique()\n",
    "Counts = []\n",
    "\n",
    "for i in range(len(days)):\n",
    "    Day_array = df1[df1['day_st']==days[i]]\n",
    "    Count= []\n",
    "    for i in range(24):\n",
    "        hour_counts = np.array(Day_array[Day_array['full_hour']==i]['mac_unique']).sum()\n",
    "        Count.append(hour_counts)\n",
    "    Counts.append(Count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "Counts_=np.array(Counts)\n",
    "Counts_1 = Counts_.flatten()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8nOa6Sh8BeiPiuo5HJkmSJEmSpFVrKWsq/RpwBHhNa/urwK92LCJJkiRJkiSt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\nXy8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x55c645e9b0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "draw_histo(Counts_1, \"Week\", 240, 13, \"People Count\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Normalizing Count"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Accoridng to Google API website, \"Popular times graph: Shows how busy your location typically is during different times of the day. Popular times are based on average popularity over the last several weeks. Popularity for any given hour is shown relative to the typical peak popularity for the business for the week. For example, in the image below, 6:00PM-7:00PM on Thursday is one of the more popular times of the week for this business.\"\n",
    "\n",
    "According to this definition count is normalized for every store found through Google Popular Times. Using the same normalization methodology, let's normalize our test store data to match Google's format."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "max_val = Counts_1.max()\n",
    "count_normalized = []\n",
    "\n",
    "for val in Counts_1:\n",
    "    count_normalized.append((val/max_val)*100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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3LkVwkiRJkiRJak7TFpUy87OZeSXwXeDj9bbHZuajM/OPlypASZIkSZIkNZ9p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\ngG6iEgAAAADd3gG00E/80lp1OAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x55d1faa780>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Weeks\n",
    "draw_histo(count_normalized,\"Week\", 100, 11, \"Activity in Store (% of maximal weekly peak)\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that our data for the test store is normalized, we can take an hourly average of all neighbor stores, and by subtracting this value to the hourly people count in our store, find the \"gap\" between our test store and its context."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Bitsence avg >> count_normalized\n",
    "# GPT avg >> Days_aggregate_avg\n",
    "diff=[]\n",
    "diff_neg = []\n",
    "diff_pos = []\n",
    "\n",
    "for i in range(len(count_normalized)):\n",
    "        diff.append(count_normalized[i]-Days_aggregate_avg[i])\n",
    "        \n",
    "for i in range(len(count_normalized)):\n",
    "    if(count_normalized[i]-Days_aggregate_avg[i]> 0 ):\n",
    "        diff_pos.append(count_normalized[i]-Days_aggregate_avg[i])\n",
    "        diff_neg.append(0)\n",
    "    if(count_normalized[i]-Days_aggregate_avg[i]< 0 ):\n",
    "        diff_neg.append(count_normalized[i]-Days_aggregate_avg[i])\n",
    "        diff_pos.append(0)\n",
    "    if(count_normalized[i]-Days_aggregate_avg[i] == 0 ):\n",
    "        diff_neg.append(0)\n",
    "        diff_pos.append(0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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c+Wlg4NJjxOHDV3fOPX167XPukSNrn3P37NnZ7bSd+97Vfoe9XE69+g67+px7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\nAAAAoGuKSwAAAAB0TXEJAAAAgK79/1G3nhkaf00bAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x55d1df6e80>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "height_graph = 50\n",
    "\n",
    "plt.bar(np.arange(len(diff_pos)),diff_pos, color='g')\n",
    "plt.bar(np.arange(len(diff_neg)),diff_neg, color='r')\n",
    "#plt.bar(np.arange(len(count_normalized)),count_normalized, color='r')\n",
    "plt.title(\"Difference\")\n",
    "plt.xlabel('Hours')\n",
    "plt.xticks([])\n",
    "plt.ylabel(\"Difference\")\n",
    "plt.grid(linestyle='dotted', linewidth=.8)\n",
    "\n",
    "fig_size = plt.rcParams[\"figure.figsize\"]\n",
    "fig_size[0] = 20\n",
    "fig_size[1] = 5\n",
    "plt.yticks(np.linspace(-height_graph, height_graph, num=int(height_graph/5) +1))\n",
    "plt.rcParams[\"figure.figsize\"] = fig_size\n",
    "\n",
    "for spine in plt.gca().spines.values():\n",
    "    spine.set_visible(False)\n",
    "\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
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