1007_Yelp_Feature_Relationship_Visualization.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Prepare Data for Mapping Purpose "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Note: This is a function which allows notebook show/hide codes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<script>\n",
       "code_show=true; \n",
       "function code_toggle() {\n",
       " if (code_show){\n",
       " $('div.input').hide();\n",
       " } else {\n",
       " $('div.input').show();\n",
       " }\n",
       " code_show = !code_show\n",
       "} \n",
       "$( document ).ready(code_toggle);\n",
       "</script>\n",
       "<form action=\"javascript:code_toggle()\"><input type=\"submit\" value=\"Click here to toggle on/off the raw code.\"></form>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import HTML\n",
    "\n",
    "HTML('''<script>\n",
    "code_show=true; \n",
    "function code_toggle() {\n",
    " if (code_show){\n",
    " $('div.input').hide();\n",
    " } else {\n",
    " $('div.input').show();\n",
    " }\n",
    " code_show = !code_show\n",
    "} \n",
    "$( document ).ready(code_toggle);\n",
    "</script>\n",
    "<form action=\"javascript:code_toggle()\"><input type=\"submit\" value=\"Click here to toggle on/off the raw code.\"></form>''')#"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Pyplot\n",
    "Pyplot was introduced in class. To use this package, you need to download at https://pypi.python.org/pypi/pygal, then install locally."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import pygal as pg\n",
    "from IPython.display import display, HTML\n",
    "from pygal.style import DarkStyle, NeonStyle, BlueStyle, DarkGreenStyle, LightColorizedStyle\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "### setting up the HTML with the necessary javascript and chart svg \n",
    "base_html = \"\"\"\n",
    "<!DOCTYPE html>\n",
    "<html>\n",
    "  <head>\n",
    "  <script type=\"text/javascript\" src=\"http://kozea.github.com/pygal.js/javascripts/svg.jquery.js\"></script>\n",
    "  <script type=\"text/javascript\" src=\"https://kozea.github.io/pygal.js/2.0.x/pygal-tooltips.min.js\"\"></script>\n",
    "  </head>\n",
    "  <body>\n",
    "    <figure>\n",
    "      {rendered_chart}\n",
    "    </figure>\n",
    "  </body>\n",
    "</html>\n",
    "\"\"\"\n",
    "\n",
    "def galplot(chart):\n",
    "    rendered_chart = chart.render(is_unicode=True)\n",
    "    plot_html = base_html.format(rendered_chart=rendered_chart)\n",
    "    display(HTML(plot_html))\n",
    "    \n",
    "data = pd.read_csv(\"/Users/hetianbai/Desktop/1007_Yelp_Project-master/Restaurant_df_1007.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot average rating and price by categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
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       "\n",
       "<!DOCTYPE html>\n",
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       "  <head>\n",
       "  <script type=\"text/javascript\" src=\"http://kozea.github.com/pygal.js/javascripts/svg.jquery.js\"></script>\n",
       "  <script type=\"text/javascript\" src=\"https://kozea.github.io/pygal.js/2.0.x/pygal-tooltips.min.js\"\"></script>\n",
       "  </head>\n",
       "  <body>\n",
       "    <figure>\n",
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class=\"guide line\" d=\"M0.000000 426.520066 h650.600000\"/><text class=\"\" x=\"-5\" y=\"431.770066146\">0.4</text><title>0.4</title></g><g class=\"guides\"><path class=\"guide line\" d=\"M0.000000 379.328594 h650.600000\"/><text class=\"\" x=\"-5\" y=\"384.578593831\">0.8</text><title>0.8</title></g><g class=\"guides\"><path class=\"guide line\" d=\"M0.000000 332.137122 h650.600000\"/><text class=\"\" x=\"-5\" y=\"337.387121516\">1.2</text><title>1.2</title></g><g class=\"guides\"><path class=\"guide line\" d=\"M0.000000 284.945649 h650.600000\"/><text class=\"\" x=\"-5\" y=\"290.1956492\">1.6</text><title>1.6</title></g><g class=\"guides\"><path class=\"major guide line\" d=\"M0.000000 237.754177 h650.600000\"/><text class=\"major\" x=\"-5\" y=\"243.004176885\">2</text><title>2</title></g><g class=\"guides\"><path class=\"guide line\" d=\"M0.000000 190.562705 h650.600000\"/><text class=\"\" x=\"-5\" y=\"195.81270457\">2.4</text><title>2.4</title></g><g class=\"guides\"><path class=\"guide line\" d=\"M0.000000 143.371232 h650.600000\"/><text class=\"\" x=\"-5\" y=\"148.621232254\">2.8</text><title>2.8</title></g><g class=\"guides\"><path class=\"guide line\" d=\"M0.000000 96.179760 h650.600000\"/><text class=\"\" x=\"-5\" y=\"101.429759939\">3.2</text><title>3.2</title></g><g class=\"guides\"><path class=\"guide line\" d=\"M0.000000 48.988288 h650.600000\"/><text class=\"\" x=\"-5\" y=\"54.2382876237\">3.6</text><title>3.6</title></g></g><g class=\"axis x\"><path class=\"line\" d=\"M0.000000 0.000000 v483.000000\"/><g class=\"guides\"><path class=\"guide line\" d=\"M57.195604 0.000000 v483.000000\"/><text class=\"\" x=\"57.1956043956044\" y=\"500.5\">Chinese</text></g><g class=\"guides\"><path class=\"guide line\" d=\"M146.563736 0.000000 v483.000000\"/><text class=\"\" x=\"146.56373626373625\" y=\"500.5\">French</text></g><g class=\"guides\"><path class=\"guide line\" d=\"M235.931868 0.000000 v483.000000\"/><text class=\"\" x=\"235.93186813186816\" y=\"500.5\">Indian</text></g><g class=\"guides\"><path class=\"guide line\" d=\"M325.300000 0.000000 v483.000000\"/><text class=\"\" x=\"325.3\" y=\"500.5\">Italian</text></g><g class=\"guides\"><path class=\"guide line\" d=\"M414.668132 0.000000 v483.000000\"/><text class=\"\" x=\"414.6681318681319\" y=\"500.5\">Japanese</text></g><g class=\"guides\"><path class=\"guide line\" d=\"M504.036264 0.000000 v483.000000\"/><text class=\"\" x=\"504.03626373626366\" y=\"500.5\">Korean</text></g><g class=\"guides\"><path class=\"guide line\" d=\"M593.404396 0.000000 v483.000000\"/><text class=\"\" x=\"593.4043956043956\" y=\"500.5\">Mexican</text></g></g><g class=\"series serie-0 color-0\"><g class=\"bars\"><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"182.904849873\" rx=\"0\" ry=\"0\" width=\"34.60334065934066\" x=\"20.232945054945056\" y=\"290.806688588\"/><desc class=\"value\">1.550321199</desc><desc class=\"x centered\">37.534615384615385</desc><desc class=\"y centered\">382.259113525</desc><desc class=\"x_label\">Chinese</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"288.679084554\" rx=\"0\" ry=\"0\" width=\"34.60334065934066\" x=\"109.60107692307692\" y=\"185.032453908\"/><desc class=\"value\">2.446875</desc><desc class=\"x centered\">126.90274725274725</desc><desc class=\"y centered\">329.371996185</desc><desc class=\"x_label\">French</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"201.475074916\" rx=\"0\" ry=\"0\" width=\"34.60334065934066\" x=\"198.96920879120879\" y=\"272.236463545\"/><desc class=\"value\">1.707724426</desc><desc class=\"x centered\">216.2708791208791</desc><desc class=\"y centered\">372.974001003</desc><desc class=\"x_label\">Indian</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"254.052251268\" rx=\"0\" ry=\"0\" width=\"34.60334065934066\" x=\"288.3373406593406\" y=\"219.659287194\"/><desc class=\"value\">2.153374233</desc><desc class=\"x centered\">305.63901098901096</desc><desc class=\"y centered\">346.685412828</desc><desc class=\"x_label\">Italian</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"245.380578892\" rx=\"0\" ry=\"0\" width=\"34.60334065934066\" x=\"377.7054725274725\" y=\"228.33095957\"/><desc class=\"value\">2.079872204</desc><desc class=\"x centered\">395.00714285714287</desc><desc class=\"y centered\">351.021249016</desc><desc class=\"x_label\">Japanese</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"224.186866742\" rx=\"0\" ry=\"0\" width=\"34.60334065934066\" x=\"467.07360439560443\" y=\"249.52467172\"/><desc class=\"value\">1.900232019</desc><desc class=\"x centered\">484.3752747252748</desc><desc class=\"y centered\">361.618105091</desc><desc class=\"x_label\">Korean</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"182.976792986\" rx=\"0\" ry=\"0\" width=\"34.60334065934066\" x=\"556.4417362637362\" y=\"290.734745476\"/><desc class=\"value\">1.550930997</desc><desc class=\"x centered\">573.7434065934065</desc><desc class=\"y centered\">382.223141969</desc><desc class=\"x_label\">Mexican</desc></g></g></g><g class=\"series serie-1 color-1\"><g class=\"bars\"><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"427.790696538\" rx=\"0\" ry=\"0\" width=\"34.60334065934066\" x=\"59.55492307692309\" y=\"45.9208419232\"/><desc class=\"value\">3.626</desc><desc class=\"x centered\">76.85659340659342</desc><desc class=\"y centered\">259.816190192</desc><desc class=\"x_label\">Chinese</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"436.254500429\" rx=\"0\" ry=\"0\" width=\"34.60334065934066\" x=\"148.92305494505493\" y=\"37.4570380325\"/><desc class=\"value\">3.697740113</desc><desc class=\"x centered\">166.22472527472524</desc><desc class=\"y centered\">255.584288247</desc><desc class=\"x_label\">French</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"386.931705935\" rx=\"0\" ry=\"0\" width=\"34.60334065934066\" x=\"238.2911868131868\" y=\"86.7798325266\"/><desc class=\"value\">3.279674797</desc><desc class=\"x centered\">255.59285714285716</desc><desc class=\"y centered\">280.245685494</desc><desc class=\"x_label\">Indian</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"464.423076923\" rx=\"0\" ry=\"0\" width=\"34.60334065934066\" x=\"327.6593186813186\" y=\"9.28846153846\"/><desc class=\"value\">3.9365</desc><desc class=\"x centered\">344.96098901098895</desc><desc class=\"y centered\">241.5</desc><desc class=\"x_label\">Italian</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"432.391865089\" rx=\"0\" ry=\"0\" width=\"34.60334065934066\" x=\"417.0274505494506\" y=\"41.3196733725\"/><desc class=\"value\">3.665</desc><desc class=\"x centered\">434.3291208791209</desc><desc class=\"y centered\">257.515605917</desc><desc class=\"x_label\">Japanese</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"409.266269539\" rx=\"0\" ry=\"0\" width=\"34.60334065934066\" x=\"506.39558241758243\" y=\"64.4452689225\"/><desc class=\"value\">3.468984962</desc><desc class=\"x centered\">523.6972527472527</desc><desc class=\"y centered\">269.078403692</desc><desc class=\"x_label\">Korean</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"432.981758493\" rx=\"0\" ry=\"0\" width=\"34.60334065934066\" x=\"595.7637142857142\" y=\"40.7297799685\"/><desc class=\"value\">3.67</desc><desc class=\"x centered\">613.0653846153845</desc><desc class=\"y centered\">257.220659215</desc><desc class=\"x_label\">Mexican</desc></g></g></g></g><g class=\"titles\"><text class=\"title plot_title\" x=\"400.0\" y=\"26\">Restarants</text><text class=\"title\" x=\"454.7\" y=\"580.0\">Restaurant Categories</text></g><g class=\"plot overlay\" transform=\"translate(129, 46)\"><g class=\"series serie-0 color-0\"/><g class=\"series serie-1 color-1\"/></g><g class=\"plot text-overlay\" transform=\"translate(129, 46)\"><g class=\"series serie-0 color-0\"/><g class=\"series serie-1 color-1\"/></g><g class=\"plot tooltip-overlay\" transform=\"translate(129, 46)\"><g class=\"tooltip\" style=\"opacity: 0\" transform=\"translate(0 0)\"><rect class=\"tooltip-box\" height=\"0\" rx=\"0\" ry=\"0\" width=\"0\"/><g class=\"text\"/></g></g><g class=\"legends\" transform=\"translate(10, 56)\"><g class=\"legend reactive activate-serie\" id=\"activate-serie-0\"><rect class=\"color-0 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"1.0\"/><text x=\"17.0\" y=\"11.2\">price</text></g><g class=\"legend reactive activate-serie\" id=\"activate-serie-1\"><rect class=\"color-1 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"22.0\"/><text x=\"17.0\" y=\"32.2\">rating</text></g></g><g class=\"legends\" transform=\"translate(790, 56)\"/></g></svg>\n",
       "    </figure>\n",
       "  </body>\n",
       "</html>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pygal.style import Style\n",
    "\n",
    "\n",
    "data['price'] = data['price'].str.len()   # convert $ to number\n",
    "index = ['cat', 'price', 'rating']\n",
    "clean_data = data[index]\n",
    "avg_data = clean_data.groupby('cat').mean()\n",
    "avg_data\n",
    "\n",
    "\n",
    "# Interactive Bar Chart\n",
    "custom_style = Style(label_font_size = 15.0, major_label_font_size = 15)\n",
    "\n",
    "ibar_chart = pg.Bar(x_title = 'Restaurant Categories',style = custom_style)\n",
    "ibar_chart.title = 'Restarants'\n",
    "ibar_chart.x_labels = ['Chinese', 'French', 'Indian', 'Italian', 'Japanese', 'Korean', 'Mexican']\n",
    "\n",
    "\n",
    "for cols in avg_data.columns:\n",
    "    ibar_chart.add(cols,avg_data[cols])\n",
    "\n",
    "galplot(ibar_chart)   ### display pygal in Jupyter notebook\n",
    "\n",
    "\n",
    "ibar_chart.render_to_file('chart.svg')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot rating overall by price"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Higher price lead to higher rating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "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>rating</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>price</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1.0</th>\n",
       "      <td>3.764750</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.0</th>\n",
       "      <td>3.714518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>3.838983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.0</th>\n",
       "      <td>3.977477</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         rating\n",
       "price          \n",
       "1.0    3.764750\n",
       "2.0    3.714518\n",
       "3.0    3.838983\n",
       "4.0    3.977477"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p_r = clean_data.groupby('price').mean()\n",
    "p_r"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<!DOCTYPE html>\n",
       "<html>\n",
       "  <head>\n",
       "  <script type=\"text/javascript\" src=\"http://kozea.github.com/pygal.js/javascripts/svg.jquery.js\"></script>\n",
       "  <script type=\"text/javascript\" src=\"https://kozea.github.io/pygal.js/2.0.x/pygal-tooltips.min.js\"\"></script>\n",
       "  </head>\n",
       "  <body>\n",
       "    <figure>\n",
       "      <?xml version='1.0' encoding='utf-8'?>\n",
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h602.313832\"/><text class=\"\" x=\"-5\" y=\"431.910661523\">0.4</text><title>0.4</title></g><g class=\"guides\"><path class=\"guide line\" d=\"M0.000000 379.993174 h602.313832\"/><text class=\"\" x=\"-5\" y=\"385.243173602\">0.8</text><title>0.8</title></g><g class=\"guides\"><path class=\"guide line\" d=\"M0.000000 333.325686 h602.313832\"/><text class=\"\" x=\"-5\" y=\"338.575685682\">1.2</text><title>1.2</title></g><g class=\"guides\"><path class=\"guide line\" d=\"M0.000000 286.658198 h602.313832\"/><text class=\"\" x=\"-5\" y=\"291.908197761\">1.6</text><title>1.6</title></g><g class=\"guides\"><path class=\"major guide line\" d=\"M0.000000 239.990710 h602.313832\"/><text class=\"major\" x=\"-5\" y=\"245.24070984\">2</text><title>2</title></g><g class=\"guides\"><path class=\"guide line\" d=\"M0.000000 193.323222 h602.313832\"/><text class=\"\" x=\"-5\" y=\"198.57322192\">2.4</text><title>2.4</title></g><g class=\"guides\"><path class=\"guide line\" d=\"M0.000000 146.655734 h602.313832\"/><text class=\"\" x=\"-5\" y=\"151.905733999\">2.8</text><title>2.8</title></g><g class=\"guides\"><path class=\"guide line\" d=\"M0.000000 99.988246 h602.313832\"/><text class=\"\" x=\"-5\" y=\"105.238246079\">3.2</text><title>3.2</title></g><g class=\"guides\"><path class=\"guide line\" d=\"M0.000000 53.320758 h602.313832\"/><text class=\"\" x=\"-5\" y=\"58.570758158\">3.6</text><title>3.6</title></g></g><g class=\"axis x\"><path class=\"line\" d=\"M0.000000 0.000000 v482.609094\"/><g class=\"guides\"><path class=\"guide line\" d=\"M83.976448 0.000000 v482.609094\"/><text class=\"\" x=\"83.97644773978072\" y=\"500.10909355034494\" transform=\"rotate(20 83.976448 500.109094)\">$</text></g><g class=\"guides\"><path class=\"guide line\" d=\"M228.763427 0.000000 v482.609094\"/><text class=\"\" x=\"228.76342660147165\" y=\"500.10909355034494\" transform=\"rotate(20 228.763427 500.109094)\">$$</text></g><g class=\"guides\"><path class=\"guide line\" d=\"M373.550405 0.000000 v482.609094\"/><text class=\"\" x=\"373.5504054631625\" y=\"500.10909355034494\" transform=\"rotate(20 373.550405 500.109094)\">$$$</text></g><g class=\"guides\"><path class=\"guide line\" d=\"M518.337384 0.000000 v482.609094\"/><text class=\"\" x=\"518.3373843248535\" y=\"500.10909355034494\" transform=\"rotate(20 518.337384 500.109094)\">$$$_$</text></g></g><g class=\"series serie-0 color-0\"><g class=\"bars\"><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"439.22854109\" rx=\"0\" ry=\"0\" width=\"112.12303643049344\" x=\"27.914929524534003\" y=\"34.0996083535\"/><desc class=\"value\">3.764749813</desc><desc class=\"x centered\">83.97644773978072</desc><desc class=\"y centered\">253.713878899</desc><desc class=\"x_label\">$</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"433.368086476\" rx=\"0\" ry=\"0\" width=\"112.12303643049344\" x=\"172.70190838622494\" y=\"39.9600629671\"/><desc class=\"value\">3.714518229</desc><desc class=\"x centered\">228.76342660147168</desc><desc class=\"y centered\">256.644106205</desc><desc class=\"x_label\">$$</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"447.889237882\" rx=\"0\" ry=\"0\" width=\"112.12303643049344\" x=\"317.48888724791584\" y=\"25.4389115613\"/><desc class=\"value\">3.838983051</desc><desc class=\"x centered\">373.5504054631626</desc><desc class=\"y centered\">249.383530502</desc><desc class=\"x_label\">$$$</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"464.047205337\" rx=\"0\" ry=\"0\" width=\"112.12303643049344\" x=\"462.27586610960674\" y=\"9.28094410674\"/><desc class=\"value\">3.977477477</desc><desc class=\"x centered\">518.3373843248535</desc><desc class=\"y centered\">241.304546775</desc><desc class=\"x_label\">$$$_$</desc></g></g></g></g><g class=\"titles\"><text class=\"title plot_title\" x=\"400.0\" y=\"26\">Rating by Price</text><text class=\"title\" x=\"456.5569160323171\" y=\"580.0\">Price</text><text class=\"title\" x=\"72.39999999999999\" y=\"313.30454677517247\" transform=\"rotate(-90 72.400000 287.304547)\">Rating</text></g><g class=\"plot overlay\" transform=\"translate(155, 46)\"><g class=\"series serie-0 color-0\"/></g><g class=\"plot text-overlay\" transform=\"translate(155, 46)\"><g class=\"series serie-0 color-0\"/></g><g class=\"plot tooltip-overlay\" transform=\"translate(155, 46)\"><g class=\"tooltip\" style=\"opacity: 0\" transform=\"translate(0 0)\"><rect class=\"tooltip-box\" height=\"0\" rx=\"0\" ry=\"0\" width=\"0\"/><g class=\"text\"/></g></g><g class=\"legends\" transform=\"translate(10, 56)\"><g class=\"legend reactive activate-serie\" id=\"activate-serie-0\"><rect class=\"color-0 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"1.0\"/><text x=\"17.0\" y=\"11.2\">rating</text></g></g><g class=\"legends\" transform=\"translate(767, 56)\"/></g></svg>\n",
       "    </figure>\n",
       "  </body>\n",
       "</html>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "custom_style = Style(label_font_size = 15.0, major_label_font_size = 15)\n",
    "\n",
    "bar_chart = pg.Bar(x_label_rotation=20, title=u'Rating by Price', x_title = 'Price', y_title = 'Rating',style = custom_style)\n",
    "bar_chart.x_labels = '$','$$','$$$','$$$_$'     \n",
    "bar_chart.add(\"rating\",list(p_r['rating']))\n",
    "\n",
    "galplot(bar_chart) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plot price overall by rating"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "No obvious trend "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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       "      <th>price</th>\n",
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       "    <tr>\n",
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       "      <th>2.0</th>\n",
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       "    <tr>\n",
       "      <th>2.5</th>\n",
       "      <td>1.745665</td>\n",
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       "    <tr>\n",
       "      <th>3.0</th>\n",
       "      <td>1.781818</td>\n",
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       "    <tr>\n",
       "      <th>3.5</th>\n",
       "      <td>1.879542</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.0</th>\n",
       "      <td>1.930999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.5</th>\n",
       "      <td>1.819885</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.0</th>\n",
       "      <td>1.720930</td>\n",
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       "</table>\n",
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      "text/plain": [
       "           price\n",
       "rating          \n",
       "0.0     1.777778\n",
       "1.0     1.000000\n",
       "1.5     2.000000\n",
       "2.0     1.674419\n",
       "2.5     1.745665\n",
       "3.0     1.781818\n",
       "3.5     1.879542\n",
       "4.0     1.930999\n",
       "4.5     1.819885\n",
       "5.0     1.720930"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_p = clean_data.groupby('rating').mean()\n",
    "r_p\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "Float64Index([0.0, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0], dtype='float64', name='rating')"
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     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "r_p.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
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y=\"580.0\">Rating</text><text class=\"title\" x=\"64.0\" y=\"313.5\" transform=\"rotate(-90 64.000000 287.500000)\">Price</text></g><g class=\"plot overlay\" transform=\"translate(147, 46)\"><g class=\"series serie-0 color-0\"/></g><g class=\"plot text-overlay\" transform=\"translate(147, 46)\"><g class=\"series serie-0 color-0\"/></g><g class=\"plot tooltip-overlay\" transform=\"translate(147, 46)\"><g class=\"tooltip\" style=\"opacity: 0\" transform=\"translate(0 0)\"><rect class=\"tooltip-box\" height=\"0\" rx=\"0\" ry=\"0\" width=\"0\"/><g class=\"text\"/></g></g><g class=\"legends\" transform=\"translate(10, 56)\"><g class=\"legend reactive activate-serie\" id=\"activate-serie-0\"><rect class=\"color-0 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"1.0\"/><text x=\"17.0\" y=\"11.2\">Price</text></g></g><g class=\"legends\" transform=\"translate(790, 56)\"/></g></svg>\n",
       "    </figure>\n",
       "  </body>\n",
       "</html>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "custom_style = Style(label_font_size = 15.0, major_label_font_size = 15)\n",
    "\n",
    "bar_chart = pg.Bar(title=u'Price by rating', x_title = 'Rating', y_title = 'Price', style = custom_style)\n",
    "\n",
    "bar_chart.x_labels = list(r_p.index)   \n",
    "bar_chart.add(\"Price\",list(r_p['price']))\n",
    "\n",
    "galplot(bar_chart) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## SolidGauge"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "rating\n",
       "0.0     161\n",
       "1.0      18\n",
       "1.5      15\n",
       "2.0      60\n",
       "2.5     190\n",
       "3.0     583\n",
       "3.5    1528\n",
       "4.0    2020\n",
       "4.5     747\n",
       "5.0     179\n",
       "dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "clean_data.groupby(['rating']).size()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    </figure>\n",
       "  </body>\n",
       "</html>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "gauge = pg.SolidGauge(inner_radius=0.70)\n",
    "\n",
    "\n",
    "gauge.add('price$/total', [{'value': 1339, 'max_value':5501}])\n",
    "gauge.add('price$$/total', [{'value': 3072, 'max_value': 5501}])\n",
    "gauge.add('price$$$/total', [{'value': 472, 'max_value': 5501}])\n",
    "gauge.add('price$$$_$/total', [{'value': 111, 'max_value': 5501}])\n",
    "\n",
    "                               \n",
    "# gauge.add('rating [0,1)/total', [{'value': 161, 'max_value': 5501}])\n",
    "# gauge.add('rating [1,2)/total', [{'value': 18 + 15, 'max_value': 5501}])\n",
    "# gauge.add('rating [2,3)/total', [{'value': 60 + 190, 'max_value': 5501}])\n",
    "# gauge.add('rating [3,4)/total', [{'value': 583 + 1528, 'max_value': 5501}])\n",
    "# gauge.add('rating [4,5)/total', [{'value': 2020 + 747, 'max_value': 5501}])\n",
    "# gauge.add('rating 5/total', [{'value': 179, 'max_value': 5501}])                               \n",
    "                               \n",
    "galplot(gauge)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Average Rating by Categories by price"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "r_cp = clean_data['rating'].groupby([clean_data['cat'],clean_data['price']]).mean()\n",
    "r_cp = pd.DataFrame(r_cp)\n",
    "r_cp\n",
    "r_cp = r_cp.reset_index(level=['cat', 'price'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <script type=\"text/javascript\" src=\"https://kozea.github.io/pygal.js/2.0.x/pygal-tooltips.min.js\"\"></script>\n",
       "  </head>\n",
       "  <body>\n",
       "    <figure>\n",
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tooltip-trigger\" height=\"421.924160347\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"113.75040659340657\" y=\"51.7873781148\"/><desc class=\"value\">3.794285714</desc><desc class=\"x centered\">121.43324175824173</desc><desc class=\"y centered\">262.749458288</desc><desc class=\"x_label\">French</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"406.563059034\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"193.11853846153844\" y=\"67.1484794275\"/><desc class=\"value\">3.656146179</desc><desc class=\"x centered\">200.8013736263736</desc><desc class=\"y centered\">270.430008945</desc><desc class=\"x_label\">Indian</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"436.590746622\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"272.4866703296703\" y=\"37.1207918392\"/><desc class=\"value\">3.926179604</desc><desc class=\"x centered\">280.1695054945055</desc><desc class=\"y centered\">255.41616515</desc><desc class=\"x_label\">Italian</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"410.414351905\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"351.85480219780214\" y=\"63.2971865563\"/><desc class=\"value\">3.690780142</desc><desc class=\"x centered\">359.5376373626373</desc><desc class=\"y centered\">268.504362509</desc><desc class=\"x_label\">Japanese</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"414.754875406\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"431.222934065934\" y=\"58.9566630553\"/><desc class=\"value\">3.729813665</desc><desc class=\"x centered\">438.9057692307692</desc><desc class=\"y centered\">266.334100758</desc><desc class=\"x_label\">Korean</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"402.980803956\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"510.59106593406585\" y=\"70.7307345057\"/><desc class=\"value\">3.623931624</desc><desc class=\"x centered\">518.273901098901</desc><desc class=\"y centered\">272.221136484</desc><desc class=\"x_label\">Mexican</desc></g></g></g><g class=\"series serie-2 color-2\"><g class=\"bars\"><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"398.785818358\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"51.84326373626374\" y=\"74.9257201031\"/><desc class=\"value\">3.586206897</desc><desc class=\"x centered\">59.526098901098905</desc><desc class=\"y centered\">274.318629282</desc><desc class=\"x_label\">Chinese</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"420.971018418\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"131.2113956043956\" y=\"52.7405200433\"/><desc class=\"value\">3.785714286</desc><desc class=\"x centered\">138.89423076923075</desc><desc class=\"y centered\">263.226029252</desc><desc class=\"x_label\">French</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"420.47459033\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"210.57952747252745\" y=\"53.2369481311\"/><desc class=\"value\">3.78125</desc><desc class=\"x centered\">218.2623626373626</desc><desc class=\"y centered\">263.474243296</desc><desc class=\"x_label\">Indian</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"434.971293378\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"289.9476593406593\" y=\"38.7402450836\"/><desc class=\"value\">3.911616162</desc><desc class=\"x centered\">297.6304945054945</desc><desc class=\"y centered\">256.225891773</desc><desc class=\"x_label\">Italian</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"432.681629719\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"369.31579120879115\" y=\"41.0299087424\"/><desc class=\"value\">3.891025641</desc><desc class=\"x centered\">376.99862637362634</desc><desc class=\"y centered\">257.370723602</desc><desc class=\"x_label\">Japanese</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"418.852925244\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"448.683923076923\" y=\"54.8586132178\"/><desc class=\"value\">3.766666667</desc><desc class=\"x centered\">456.3667582417582</desc><desc class=\"y centered\">264.28507584</desc><desc class=\"x_label\">Korean</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"410.049600488\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"528.0520549450549\" y=\"63.661937974\"/><desc class=\"value\">3.6875</desc><desc class=\"x centered\">535.7348901098901</desc><desc class=\"y centered\">268.686738218</desc><desc class=\"x_label\">Mexican</desc></g></g></g><g class=\"series serie-3 color-3\"><g class=\"bars\"><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"375.299634345\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"69.30425274725273\" y=\"98.411904117\"/><desc class=\"value\">3.375</desc><desc class=\"x centered\">76.9870879120879</desc><desc class=\"y centered\">286.061721289</desc><desc class=\"x_label\">Chinese</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"451.214944995\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"148.6723846153846\" y=\"22.4965934661\"/><desc class=\"value\">4.057692308</desc><desc class=\"x centered\">156.35521978021976</desc><desc class=\"y centered\">248.104065964</desc><desc class=\"x_label\">French</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"416.999593716\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"228.04051648351646\" y=\"56.7119447454\"/><desc class=\"value\">3.75</desc><desc class=\"x centered\">235.7233516483516</desc><desc class=\"y centered\">265.211741603</desc><desc class=\"x_label\">Indian</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"422.559588299\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"307.4086483516483\" y=\"51.1519501625\"/><desc class=\"value\">3.8</desc><desc class=\"x centered\">315.0914835164835</desc><desc class=\"y centered\">262.431744312</desc><desc class=\"x_label\">Italian</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"464.423076923\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"386.77678021978016\" y=\"9.28846153846\"/><desc class=\"value\">4.176470588</desc><desc class=\"x centered\">394.45961538461535</desc><desc class=\"y centered\">241.5</desc><desc class=\"x_label\">Japanese</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"250.19975623\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"466.144912087912\" y=\"223.511782232\"/><desc class=\"value\">2.25</desc><desc class=\"x centered\">473.8277472527472</desc><desc class=\"y centered\">348.611660347</desc><desc class=\"x_label\">Korean</desc></g><g class=\"bar\"><rect class=\"rect reactive tooltip-trigger\" height=\"277.999729144\" rx=\"0\" ry=\"0\" width=\"15.36567032967033\" x=\"545.5130439560439\" y=\"195.711809317\"/><desc class=\"value\">2.5</desc><desc class=\"x centered\">553.1958791208791</desc><desc class=\"y centered\">334.711673889</desc><desc class=\"x_label\">Mexican</desc></g></g></g></g><g class=\"titles\"><text class=\"title plot_title\" x=\"400.0\" y=\"26\">Restarants rating by categories by price</text><text class=\"title\" x=\"491.09999999999997\" y=\"580.0\">Restaurant Categories</text><text class=\"title\" x=\"131.2\" y=\"313.5\" transform=\"rotate(-90 131.200000 287.500000)\">Rating</text></g><g class=\"plot overlay\" transform=\"translate(202, 46)\"><g class=\"series serie-0 color-0\"/><g class=\"series serie-1 color-1\"/><g class=\"series serie-2 color-2\"/><g class=\"series serie-3 color-3\"/></g><g class=\"plot text-overlay\" transform=\"translate(202, 46)\"><g class=\"series serie-0 color-0\"/><g class=\"series serie-1 color-1\"/><g class=\"series serie-2 color-2\"/><g class=\"series serie-3 color-3\"/></g><g class=\"plot tooltip-overlay\" transform=\"translate(202, 46)\"><g class=\"tooltip\" style=\"opacity: 0\" transform=\"translate(0 0)\"><rect class=\"tooltip-box\" height=\"0\" rx=\"0\" ry=\"0\" width=\"0\"/><g class=\"text\"/></g></g><g class=\"legends\" transform=\"translate(10, 56)\"><g class=\"legend reactive activate-serie\" id=\"activate-serie-0\"><rect class=\"color-0 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"1.0\"/><text x=\"17.0\" y=\"11.2\">price = $</text></g><g class=\"legend reactive activate-serie\" id=\"activate-serie-1\"><rect class=\"color-1 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"22.0\"/><text x=\"17.0\" y=\"32.2\">price = $$</text></g><g class=\"legend reactive activate-serie\" id=\"activate-serie-2\"><rect class=\"color-2 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"43.0\"/><text x=\"17.0\" y=\"53.2\">price = $$$</text></g><g class=\"legend reactive activate-serie\" id=\"activate-serie-3\"><rect class=\"color-3 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"64.0\"/><text x=\"17.0\" y=\"74.2\">price = $$$_$</text></g></g><g class=\"legends\" transform=\"translate(790, 56)\"/></g></svg>\n",
       "    </figure>\n",
       "  </body>\n",
       "</html>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "custom_style = Style(label_font_size = 15.0, major_label_font_size = 15)\n",
    "\n",
    "bar_chart = pg.Bar(x_title = 'Restaurant Categories', y_title = 'Rating', style = custom_style)\n",
    "bar_chart.title = 'Restarants rating by categories by price'\n",
    "bar_chart.x_labels = ['Chinese', 'French', 'Indian', 'Italian', 'Japanese', 'Korean', 'Mexican']\n",
    "\n",
    "bar_chart.add('price = $',list(r_cp[r_cp['price'] == 1].rating))\n",
    "bar_chart.add('price = $$',list(r_cp[r_cp['price'] == 2].rating))\n",
    "bar_chart.add('price = $$$',list(r_cp[r_cp['price'] == 3].rating))\n",
    "bar_chart.add('price = $$$_$',list(r_cp[r_cp['price'] == 4].rating))\n",
    "\n",
    "galplot(bar_chart) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Average Price by Categories by rating"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "new = clean_data.drop([2839,3615], axis = 0)\n",
    "\n",
    "\n",
    "p_cr=new['price'].groupby([new['cat'],new['rating']]).mean()\n",
    "p_cr = pd.DataFrame(p_cr)\n",
    "p_cr = p_cr.reset_index(level = ['cat', 'rating'])\n",
    "# p_cr[head]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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class=\"x_label\">Mexican</desc></g></g><g class=\"series serie-1 color-1\"><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"nan\" cy=\"nan\" r=\"2.5\"/><desc class=\"value\">nan</desc><desc class=\"x \">nan</desc><desc class=\"y \">nan</desc><desc class=\"x_label\">Chinese</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"nan\" cy=\"nan\" r=\"2.5\"/><desc class=\"value\">nan</desc><desc class=\"x \">nan</desc><desc class=\"y \">nan</desc><desc class=\"x_label\">French</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"200.710554448\" cy=\"258.086051096\" r=\"2.5\"/><desc class=\"value\">1</desc><desc class=\"x top\">200.710554448</desc><desc class=\"y top\">258.086051096</desc><desc class=\"x_label\">Indian</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"248.653079784\" cy=\"308.655549876\" r=\"2.5\"/><desc class=\"value\">1</desc><desc class=\"x top\">248.653079784</desc><desc class=\"y top\">308.655549876</desc><desc class=\"x_label\">Italian</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"nan\" cy=\"nan\" r=\"2.5\"/><desc class=\"value\">nan</desc><desc class=\"x \">nan</desc><desc class=\"y \">nan</desc><desc class=\"x_label\">Japanese</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"nan\" cy=\"nan\" r=\"2.5\"/><desc class=\"value\">nan</desc><desc class=\"x \">nan</desc><desc class=\"y \">nan</desc><desc class=\"x_label\">Korean</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"287.1\" cy=\"241.5\" r=\"2.5\"/><desc class=\"value\">0</desc><desc class=\"x \">287.1</desc><desc class=\"y \">241.5</desc><desc class=\"x_label\">Mexican</desc></g></g><g class=\"series serie-2 color-2\"><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"287.1\" cy=\"92.4259259259\" r=\"2.5\"/><desc class=\"value\">2</desc><desc class=\"x \">287.1</desc><desc class=\"y \">92.4259259259</desc><desc class=\"x_label\">Chinese</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"148.542087274\" cy=\"148.553835093\" r=\"2.5\"/><desc class=\"value\">2</desc><desc class=\"x \">148.542087274</desc><desc class=\"y \">148.553835093</desc><desc class=\"x_label\">French</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"200.710554448\" cy=\"258.086051096\" r=\"2.5\"/><desc class=\"value\">1</desc><desc class=\"x top\">200.710554448</desc><desc class=\"y top\">258.086051096</desc><desc class=\"x_label\">Indian</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"210.206159567\" cy=\"375.811099752\" r=\"2.5\"/><desc class=\"value\">2</desc><desc class=\"x top\">210.206159567</desc><desc class=\"y top\">375.811099752</desc><desc class=\"x_label\">Italian</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"325.546920216\" cy=\"308.655549876\" r=\"2.5\"/><desc class=\"value\">1</desc><desc class=\"x left top\">325.546920216</desc><desc class=\"y left top\">308.655549876</desc><desc class=\"x_label\">Japanese</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"287.1\" cy=\"241.5\" r=\"2.5\"/><desc class=\"value\">0</desc><desc class=\"x \">287.1</desc><desc class=\"y \">241.5</desc><desc class=\"x_label\">Korean</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"287.1\" cy=\"241.5\" r=\"2.5\"/><desc class=\"value\">0</desc><desc class=\"x \">287.1</desc><desc class=\"y \">241.5</desc><desc class=\"x_label\">Mexican</desc></g></g><g class=\"series serie-3 color-3\"><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"287.1\" cy=\"115.71875\" r=\"2.5\"/><desc class=\"value\">1.6875</desc><desc class=\"x \">287.1</desc><desc class=\"y \">115.71875</desc><desc class=\"x_label\">Chinese</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"113.902609092\" cy=\"125.317293867\" r=\"2.5\"/><desc class=\"value\">2.5</desc><desc class=\"x \">113.902609092</desc><desc class=\"y \">125.317293867</desc><desc class=\"x_label\">French</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"148.876887117\" cy=\"268.037681753\" r=\"2.5\"/><desc class=\"value\">1.6</desc><desc class=\"x top\">148.876887117</desc><desc class=\"y top\">268.037681753</desc><desc class=\"x_label\">Indian</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"229.429619676\" cy=\"342.233324814\" r=\"2.5\"/><desc class=\"value\">1.5</desc><desc class=\"x top\">229.429619676</desc><desc class=\"y top\">342.233324814</desc><desc class=\"x_label\">Italian</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"363.993840433\" cy=\"375.811099752\" r=\"2.5\"/><desc class=\"value\">2</desc><desc class=\"x left top\">363.993840433</desc><desc class=\"y left top\">375.811099752</desc><desc class=\"x_label\">Japanese</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"395.08680694\" cy=\"262.23256387\" r=\"2.5\"/><desc class=\"value\">1.25</desc><desc class=\"x left top\">395.08680694</desc><desc class=\"y left top\">262.23256387</desc><desc class=\"x_label\">Korean</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"287.1\" cy=\"241.5\" r=\"2.5\"/><desc class=\"value\">0</desc><desc class=\"x \">287.1</desc><desc class=\"y \">241.5</desc><desc class=\"x_label\">Mexican</desc></g></g><g class=\"series serie-4 color-4\"><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"287.1\" cy=\"113.449192783\" r=\"2.5\"/><desc class=\"value\">1.717948718</desc><desc class=\"x \">287.1</desc><desc class=\"y \">113.449192783</desc><desc class=\"x_label\">Chinese</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"131.222348183\" cy=\"136.93556448\" r=\"2.5\"/><desc class=\"value\">2.25</desc><desc class=\"x \">131.222348183</desc><desc class=\"y \">136.93556448</desc><desc class=\"x_label\">French</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"143.117590747\" cy=\"269.143418493\" r=\"2.5\"/><desc class=\"value\">1.666666667</desc><desc class=\"x top\">143.117590747</desc><desc class=\"y top\">269.143418493</desc><desc class=\"x_label\">Indian</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"215.012024595\" cy=\"367.416656018\" r=\"2.5\"/><desc class=\"value\">1.875</desc><desc class=\"x top\">215.012024595</desc><desc class=\"y top\">367.416656018</desc><desc class=\"x_label\">Italian</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"359.032947501\" cy=\"367.14586751\" r=\"2.5\"/><desc class=\"value\">1.870967742</desc><desc class=\"x left top\">359.032947501</desc><desc class=\"y left top\">367.14586751</desc><desc class=\"x_label\">Japanese</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"425.323112883\" cy=\"268.037681753\" r=\"2.5\"/><desc class=\"value\">1.6</desc><desc class=\"x left top\">425.323112883</desc><desc class=\"y left top\">268.037681753</desc><desc class=\"x_label\">Korean</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"402.564927272\" cy=\"164.044862578\" r=\"2.5\"/><desc class=\"value\">1.666666667</desc><desc class=\"x left\">402.564927272</desc><desc class=\"y left\">164.044862578</desc><desc class=\"x_label\">Mexican</desc></g></g><g class=\"series serie-5 color-5\"><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"287.1\" cy=\"115.484146017\" r=\"2.5\"/><desc class=\"value\">1.690647482</desc><desc class=\"x \">287.1</desc><desc class=\"y \">115.484146017</desc><desc class=\"x_label\">Chinese</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"130.310782968\" cy=\"136.324076553\" r=\"2.5\"/><desc class=\"value\">2.263157895</desc><desc class=\"x \">130.310782968</desc><desc class=\"y \">136.324076553</desc><desc class=\"x_label\">French</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"141.808659754\" cy=\"269.394722298\" r=\"2.5\"/><desc class=\"value\">1.681818182</desc><desc class=\"x top\">141.808659754</desc><desc class=\"y top\">269.394722298</desc><desc class=\"x_label\">Indian</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"202.730369525\" cy=\"388.869123339\" r=\"2.5\"/><desc class=\"value\">2.194444444</desc><desc class=\"x top\">202.730369525</desc><desc class=\"y top\">388.869123339</desc><desc class=\"x_label\">Italian</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"359.981987888\" cy=\"368.803564113\" r=\"2.5\"/><desc class=\"value\">1.895652174</desc><desc class=\"x left top\">359.981987888</desc><desc class=\"y left top\">368.803564113</desc><desc class=\"x_label\">Japanese</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"449.5944333\" cy=\"272.697572299\" r=\"2.5\"/><desc class=\"value\">1.880952381</desc><desc class=\"x left top\">449.5944333</desc><desc class=\"y left top\">272.697572299</desc><desc class=\"x_label\">Korean</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"399.09229788\" cy=\"166.374340395\" r=\"2.5\"/><desc class=\"value\">1.616541353</desc><desc class=\"x left\">399.09229788</desc><desc class=\"y left\">166.374340395</desc><desc class=\"x_label\">Mexican</desc></g></g><g class=\"series serie-6 color-6\"><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"287.1\" cy=\"121.854788445\" r=\"2.5\"/><desc class=\"value\">1.605177994</desc><desc class=\"x \">287.1</desc><desc class=\"y \">121.854788445</desc><desc class=\"x_label\">Chinese</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"118.642748212\" cy=\"128.497031087\" r=\"2.5\"/><desc class=\"value\">2.431578947</desc><desc class=\"x \">118.642748212</desc><desc class=\"y \">128.497031087</desc><desc class=\"x_label\">French</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"137.188903307\" cy=\"270.281676902\" r=\"2.5\"/><desc class=\"value\">1.735294118</desc><desc class=\"x top\">137.188903307</desc><desc class=\"y top\">270.281676902</desc><desc class=\"x_label\">Indian</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"202.54935766\" cy=\"389.185298244\" r=\"2.5\"/><desc class=\"value\">2.199152542</desc><desc class=\"x top\">202.54935766</desc><desc class=\"y top\">389.185298244</desc><desc class=\"x_label\">Italian</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"362.121425487\" cy=\"372.540537258\" r=\"2.5\"/><desc class=\"value\">1.951298701</desc><desc class=\"x left top\">362.121425487</desc><desc class=\"y left top\">372.540537258</desc><desc class=\"x_label\">Japanese</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"454.203672052\" cy=\"273.582507594\" r=\"2.5\"/><desc class=\"value\">1.934306569</desc><desc class=\"x left top\">454.203672052</desc><desc class=\"y left top\">273.582507594</desc><desc class=\"x_label\">Korean</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"403.436360685\" cy=\"163.460295503\" r=\"2.5\"/><desc class=\"value\">1.679245283</desc><desc class=\"x left\">403.436360685</desc><desc class=\"y left\">163.460295503</desc><desc class=\"x_label\">Mexican</desc></g></g><g class=\"series serie-7 color-7\"><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"287.1\" cy=\"129.694444444\" r=\"2.5\"/><desc class=\"value\">1.5</desc><desc class=\"x \">287.1</desc><desc class=\"y \">129.694444444</desc><desc class=\"x_label\">Chinese</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"118.139092035\" cy=\"128.159173009\" r=\"2.5\"/><desc class=\"value\">2.438848921</desc><desc class=\"x \">118.139092035</desc><desc class=\"y \">128.159173009</desc><desc class=\"x_label\">French</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"141.354540838\" cy=\"269.481909332\" r=\"2.5\"/><desc class=\"value\">1.68707483</desc><desc class=\"x top\">141.354540838</desc><desc class=\"y top\">269.481909332</desc><desc class=\"x_label\">Indian</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"203.167648583\" cy=\"388.105324434\" r=\"2.5\"/><desc class=\"value\">2.183070866</desc><desc class=\"x top\">203.167648583</desc><desc class=\"y top\">388.105324434</desc><desc class=\"x_label\">Italian</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"371.726181929\" cy=\"389.317243861\" r=\"2.5\"/><desc class=\"value\">2.201117318</desc><desc class=\"x left top\">371.726181929</desc><desc class=\"y left top\">389.317243861</desc><desc class=\"x_label\">Japanese</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"454.119594733\" cy=\"273.566365452\" r=\"2.5\"/><desc class=\"value\">1.933333333</desc><desc class=\"x left top\">454.119594733</desc><desc class=\"y left top\">273.566365452</desc><desc class=\"x_label\">Korean</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"393.219605399\" cy=\"170.313806811\" r=\"2.5\"/><desc class=\"value\">1.531772575</desc><desc class=\"x left\">393.219605399</desc><desc class=\"y left\">170.313806811</desc><desc class=\"x_label\">Mexican</desc></g></g><g class=\"series serie-8 color-8\"><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"287.1\" cy=\"147.028639104\" r=\"2.5\"/><desc class=\"value\">1.26744186</desc><desc class=\"x \">287.1</desc><desc class=\"y \">147.028639104</desc><desc class=\"x_label\">Chinese</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"110.367968461\" cy=\"122.946218231\" r=\"2.5\"/><desc class=\"value\">2.551020408</desc><desc class=\"x \">110.367968461</desc><desc class=\"y \">122.946218231</desc><desc class=\"x_label\">French</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"137.989450144\" cy=\"270.127978604\" r=\"2.5\"/><desc class=\"value\">1.726027397</desc><desc class=\"x top\">137.989450144</desc><desc class=\"y top\">270.127978604</desc><desc class=\"x_label\">Indian</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"209.543281633\" cy=\"376.96895406\" r=\"2.5\"/><desc class=\"value\">2.017241379</desc><desc class=\"x top\">209.543281633</desc><desc class=\"y top\">376.96895406</desc><desc class=\"x_label\">Italian</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"376.116743203\" cy=\"396.986273136\" r=\"2.5\"/><desc class=\"value\">2.315315315</desc><desc class=\"x left top\">376.116743203</desc><desc class=\"y left top\">396.986273136</desc><desc class=\"x_label\">Japanese</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"442.909535727\" cy=\"271.414127869\" r=\"2.5\"/><desc class=\"value\">1.803571429</desc><desc class=\"x left top\">442.909535727</desc><desc class=\"y left top\">271.414127869</desc><desc class=\"x_label\">Korean</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"379.790465755\" cy=\"179.322220718\" r=\"2.5\"/><desc class=\"value\">1.337931034</desc><desc class=\"x left\">379.790465755</desc><desc class=\"y left\">179.322220718</desc><desc class=\"x_label\">Mexican</desc></g></g><g class=\"series serie-9 color-9\"><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"287.1\" cy=\"143.670138889\" r=\"2.5\"/><desc class=\"value\">1.3125</desc><desc class=\"x \">287.1</desc><desc class=\"y \">143.670138889</desc><desc class=\"x_label\">Chinese</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"102.356116365\" cy=\"117.571780124\" r=\"2.5\"/><desc class=\"value\">2.666666667</desc><desc class=\"x \">102.356116365</desc><desc class=\"y \">117.571780124</desc><desc class=\"x_label\">French</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"114.321108897\" cy=\"274.672102192\" r=\"2.5\"/><desc class=\"value\">2</desc><desc class=\"x top\">114.321108897</desc><desc class=\"y top\">274.672102192</desc><desc class=\"x_label\">Indian</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"212.769287582\" cy=\"371.334063094\" r=\"2.5\"/><desc class=\"value\">1.933333333</desc><desc class=\"x top\">212.769287582</desc><desc class=\"y top\">371.334063094</desc><desc class=\"x_label\">Italian</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"375.527916497\" cy=\"395.957764715\" r=\"2.5\"/><desc class=\"value\">2.3</desc><desc class=\"x left top\">375.527916497</desc><desc class=\"y left top\">395.957764715</desc><desc class=\"x_label\">Japanese</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"433.962057438\" cy=\"269.696286863\" r=\"2.5\"/><desc class=\"value\">1.7</desc><desc class=\"x left top\">433.962057438</desc><desc class=\"y left top\">269.696286863</desc><desc class=\"x_label\">Korean</desc></g><g class=\"dots\"><circle class=\"dot reactive tooltip-trigger\" cx=\"367.317738947\" cy=\"187.689062422\" r=\"2.5\"/><desc class=\"value\">1.157894737</desc><desc class=\"x left\">367.317738947</desc><desc class=\"y left\">187.689062422</desc><desc class=\"x_label\">Mexican</desc></g></g></g><g class=\"plot text-overlay\" transform=\"translate(205, 46)\"><g class=\"series serie-0 color-0\"/><g class=\"series serie-1 color-1\"/><g class=\"series serie-2 color-2\"/><g class=\"series serie-3 color-3\"/><g class=\"series serie-4 color-4\"/><g class=\"series serie-5 color-5\"/><g class=\"series serie-6 color-6\"/><g class=\"series serie-7 color-7\"/><g class=\"series serie-8 color-8\"/><g class=\"series serie-9 color-9\"/></g><g class=\"plot tooltip-overlay\" transform=\"translate(205, 46)\"><g class=\"tooltip\" style=\"opacity: 0\" transform=\"translate(0 0)\"><rect class=\"tooltip-box\" height=\"0\" rx=\"0\" ry=\"0\" width=\"0\"/><g class=\"text\"/></g></g><g class=\"legends\" transform=\"translate(10, 56)\"><g class=\"legend reactive activate-serie\" id=\"activate-serie-0\"><rect class=\"color-0 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"1.0\"/><text x=\"17.0\" y=\"11.2\">rating = 0</text></g><g class=\"legend reactive activate-serie\" id=\"activate-serie-1\"><rect class=\"color-1 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"22.0\"/><text x=\"17.0\" y=\"32.2\">rating = 1</text></g><g class=\"legend reactive activate-serie\" id=\"activate-serie-2\"><rect class=\"color-2 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"43.0\"/><text x=\"17.0\" y=\"53.2\">rating = 1.5</text></g><g class=\"legend reactive activate-serie\" id=\"activate-serie-3\"><rect class=\"color-3 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"64.0\"/><text x=\"17.0\" y=\"74.2\">rating = 2</text></g><g class=\"legend reactive activate-serie\" id=\"activate-serie-4\"><rect class=\"color-4 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"85.0\"/><text x=\"17.0\" y=\"95.2\">rating = 2.5</text></g><g class=\"legend reactive activate-serie\" id=\"activate-serie-5\"><rect class=\"color-5 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"106.0\"/><text x=\"17.0\" y=\"116.2\">rating = 3</text></g><g class=\"legend reactive activate-serie\" id=\"activate-serie-6\"><rect class=\"color-6 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"127.0\"/><text x=\"17.0\" y=\"137.2\">rating = 3.5</text></g><g class=\"legend reactive activate-serie\" id=\"activate-serie-7\"><rect class=\"color-7 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"148.0\"/><text x=\"17.0\" y=\"158.2\">rating = 4</text></g><g class=\"legend reactive activate-serie\" id=\"activate-serie-8\"><rect class=\"color-8 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"169.0\"/><text x=\"17.0\" y=\"179.2\">rating = 4.5</text></g><g class=\"legend reactive activate-serie\" id=\"activate-serie-9\"><rect class=\"color-9 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"190.0\"/><text x=\"17.0\" y=\"200.2\">rating = 5</text></g></g><g class=\"legends\" transform=\"translate(790, 56)\"/></g></svg>\n",
       "    </figure>\n",
       "  </body>\n",
       "</html>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "custom_style = Style(label_font_size = 15.0, major_label_font_size = 15)\n",
    "\n",
    "bar_chart = pg.Radar(x_title = 'Restaurant Categories', y_title = 'Price', style = custom_style, range=(0, 3))\n",
    "bar_chart.title = 'Restarants price by categories by rating'\n",
    "bar_chart.x_labels = ['Chinese', 'French', 'Indian', 'Italian', 'Japanese', 'Korean', 'Mexican']\n",
    "\n",
    "\n",
    "bar_chart.add('rating = 0',list(p_cr[p_cr['rating'] == 0].price))\n",
    "bar_chart.add('rating = 1',list(p_cr[p_cr['rating'] == 1].price)) \n",
    "bar_chart.add('rating = 1.5',list(p_cr[p_cr['rating'] == 1.5].price))  \n",
    "bar_chart.add('rating = 2',list(p_cr[p_cr['rating'] == 2].price))\n",
    "bar_chart.add('rating = 2.5',list(p_cr[p_cr['rating'] == 2.5].price))\n",
    "bar_chart.add('rating = 3',list(p_cr[p_cr['rating'] == 3].price))\n",
    "bar_chart.add('rating = 3.5',list(p_cr[p_cr['rating'] == 3.5].price))\n",
    "bar_chart.add('rating = 4',list(p_cr[p_cr['rating'] == 4].price))\n",
    "bar_chart.add('rating = 4.5',list(p_cr[p_cr['rating'] == 4.5].price))\n",
    "bar_chart.add('rating = 5',list(p_cr[p_cr['rating'] == 5].price))\n",
    "\n",
    "\n",
    "galplot(bar_chart) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Trend Analysis price vs rating by restaurant categories"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "p_cr = p_cr.dropna()\n",
    "\n",
    "p_cr['rating_price'] = p_cr[['rating', 'price']].apply(tuple, axis=1)\n",
    "chi_list = list(p_cr[p_cr['cat']=='chinese']['rating_price'])\n",
    "ita_list = list(p_cr[p_cr['cat']=='italian']['rating_price'])\n",
    "ind_list = list(p_cr[p_cr['cat']=='indpak']['rating_price'])\n",
    "mex_list = list(p_cr[p_cr['cat']=='mexican']['rating_price'])\n",
    "kor_list = list(p_cr[p_cr['cat']=='korean']['rating_price'])\n",
    "fre_list = list(p_cr[p_cr['cat']=='french']['rating_price'])\n",
    "jan_list = list(p_cr[p_cr['cat']=='japanese']['rating_price'])\n",
    "# new_list = list(p_cr['rating_price'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
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id=\"activate-serie-2\"><rect class=\"color-2 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"43.0\"/><text x=\"17.0\" y=\"53.2\">indian</text></g><g class=\"legend reactive activate-serie\" id=\"activate-serie-3\"><rect class=\"color-3 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"64.0\"/><text x=\"17.0\" y=\"74.2\">mexican</text></g><g class=\"legend reactive activate-serie\" id=\"activate-serie-4\"><rect class=\"color-4 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"85.0\"/><text x=\"17.0\" y=\"95.2\">korean</text></g><g class=\"legend reactive activate-serie\" id=\"activate-serie-5\"><rect class=\"color-5 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"106.0\"/><text x=\"17.0\" y=\"116.2\">french</text></g><g class=\"legend reactive activate-serie\" id=\"activate-serie-6\"><rect class=\"color-6 reactive\" height=\"12\" width=\"12\" x=\"0.0\" y=\"127.0\"/><text x=\"17.0\" y=\"137.2\">janpanese</text></g></g><g class=\"legends\" transform=\"translate(790, 56)\"/></g></svg>\n",
       "    </figure>\n",
       "  </body>\n",
       "</html>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "custom_style = Style(label_font_size = 15.0, major_label_font_size = 15)\n",
    "\n",
    "xy_chart = pg.XY(stroke= True, x_title = 'Rating', y_title = 'Price', style = custom_style)\n",
    "xy_chart.title = 'price vs rating by categories'\n",
    "\n",
    "xy_chart.add('chinese', chi_list)\n",
    "xy_chart.add('italian', ita_list)\n",
    "xy_chart.add('indian', ind_list)\n",
    "xy_chart.add('mexican', mex_list)\n",
    "xy_chart.add('korean', kor_list)\n",
    "xy_chart.add('french', fre_list)\n",
    "xy_chart.add('janpanese', jan_list)\n",
    "\n",
    "galplot(xy_chart) "
   ]
  }
 ],
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