FinalProject_group067.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# COGS 108 - Final Project "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Overview"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With over 650,000 restaurants in the U.S. since 2018, restaurant owners face a lot of competition in the industry(1).  In the midst of all this competition there are a lot of restaurant closures. In fact, most restaurants don’t make it past one year of operation, and of those that do, 70% of them will shut down within 3-5 years(2). Our project endeavours to use data science in order to help up and coming restaurant owners make well informed decisions that will aid in keeping them afloat against all the competition.  We hope that by determining what the best location is to open a restaurant, along with what type of restaurant would be most lucrative there, these businesses will have a good foundation to be successful. \n",
    "\n",
    "References\n",
    "\n",
    "1) https://www.statista.com/statistics/244616/number-of-qsr-fsr-chain-independent-restaurants-in-the-us/ \n",
    "\n",
    "2) https://yourbusiness.azcentral.com/average-life-span-restaurant-6024.html\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Names\n",
    "\n",
    "- Ting-Wei Lee\n",
    "- Sparsh Shah\n",
    "- Nessa Vu\n",
    "- Hexuan Zhang\n",
    "- Mingjie Zhu"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Research Question"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Where should a new restaurant be opened in Las Vegas to gather more customers and be successful?\n",
    "More specifically, given a geographical region, what specific location and restaurant type is optimal for a business owner to build in order to receive the most influx of customers?\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Background and Prior Work"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We found this question interesting because we observed some places have more frequent restaurant closing but some places don’t. We are triggered by this fact and we want to figure out how can location affect the degree of success of a restaurant. We found a research project online called “Using Yelp Data to Predict Restaurant Closure”(1). One of its conclusions is that opening a new restaurant in a high restaurant density place typically yields a negative outcome, unless it’s a place with restaurants serving similar food. This article leads us to our hypothesis: a restaurant will do better on average if they open in close proximity to restaurants of similar types, than if they open in close proximity to restaurants that are of dissimilar types. \n",
    "\t\n",
    "While Las Vegas is known for its entertainment industry, it is increasingly becoming a ‘foodie destination’ (2). More than 60 new restaurants opened in 2014, all vying to serve the nearly 40 million annual tourists and take a portion of the estimated $8 billion that the restaurant industry makes in Las Vegas(3). Thus, while restaurant owners may find Las Vegas an enticing location to open a new restaurant, it is unavoidable for one to open a new restaurant here without competition. Then our research question will be crucial for those future business holder in Vegas, because they are facing a very fierce competition, it will be very helpful for them to have some tips on the location of their new business. \n",
    "    \n",
    "We looked at the review counts of the restaurants, and we observed that some of the review counts are very small, and the data of those restaurants should not be treated as statistically convincing. Thus, we chose number 100, a large number in statistics, as the threshold for the restaurants that we would analyze.\n",
    "\n",
    "References (include links):\n",
    "\n",
    "1) https://towardsdatascience.com/using-yelp-data-to-predict-restaurant-closure-8aafa4f72ad6 \n",
    "\n",
    "2) https://www.ktnv.com/news/why-las-vegas-is-becoming-a-foodie-paradise \n",
    "\n",
    "3) https://www.businessinsider.com/las-vegas-food-scene-2014-4\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Hypothesis\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Based on the research we have done, we hypothesize that a restaurant best set up for success will be one that is built in an area with many high ranking restaurants, given that the restaurant built is also of similar category or type as the restaurants residing in that area. For example, if we found that the location with the most popular and well reviewed restaurants in San Diego county was found in Kearny Mesa, we would then find the most popular category of food in that area. If the most popular food category in Kearny Mesa was Japanese food, we would conclude that a new restaurant with the highest chance of success would be a Japanese restaurant opened in Kearny Mesa. \n",
    "\n",
    "This seems rational because, for instance, if one wanted to eat Chinese food, they would probably think to go to Chinatown because of its reputation of quantity and quality of Chinese food. Opening a Chinese restaurant here would be beneficial because customers are already coming to that area for Chinese food, and are open to going to that new restaurant since they are in the area (especially if the other successful Chinese restaurants are crowded).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Dataset(s)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- Dataset Name: Yelp\n",
    "- Link to the dataset: https://www.kaggle.com/yelp-dataset/yelp-dataset/version/6 \n",
    "- Number of observations: 174,567 entries\n",
    "\n",
    "Yelp is a “local-search service powered by crowd-sourced review forum” that covers a large range of businesses. For our purposes, we will be focusing on the restaurants that are featured on Yelp. Yelp is an important tool for customers searching for food, products, stores, and services, but it is an even more important tool for business owners.  Yelp is a great way for  businesses, especially small or new businesses, to increase traffic and revenue. In fact, on average, small businesses with Yelp accounts see an increase of $8,000 in annual revenue(1). In addition to helping business owners increase traffic, we wanted to see how else Yelp can be used to help restaurant owners. \n",
    "\n",
    "The Yelp dataset includes a collection of businesses entries stored in a business.json file. Each entry has various attributes including location data, review data, and business type, and information about the business. There are over 174,000 businesses included in the dataset, featuring 11 metropolitan areas. Also included in the downloaded dataset were: review.json (full review written by users and their user id’s), user.json(Yelp users’ data), checkin.json (the log of check in’s to a business), tip.json (tips written by users about businesses, including users’ id’s), and finally photo.json (photos uploaded to Yelp and their captions and classifications). Our team opted to not utilize these data files because we felt they would not help us answer our research question, and they include user data that may possibly pose ethical concerns. Since our group felt it would be easier to work with a csv file as opposed to a json file, we found a public source that had already converted the file into a json file. This source is linked above.\n",
    "\n",
    "References\n",
    "\n",
    "1) https://brandongaille.com/9-compelling-statistics-and-trends-about-yelp-reviews/ \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Setup"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We first load our modules. We are using the pandas library to read in our json data file as a table. We are using the numpy library to assist us in performing empirical analysis of our data. We use the matplotlib.pyplot and seaborn libraries to produce data visualizations. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import random\n",
    "from sklearn.feature_extraction.text import CountVectorizer\n",
    "from sklearn.feature_extraction.text import TfidfTransformer\n",
    "import logging\n",
    "from IPython.core.display import HTML\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We then configure our seaborn library to help make our plots look more neat."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "sns.set()\n",
    "sns.set_context('talk')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To display our plots directly in the notebook rather than in a new window, we implement the following command."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Cleaning"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We first read in our json data file into a dataframe using pandas. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>address</th>\n",
       "      <th>attributes</th>\n",
       "      <th>business_id</th>\n",
       "      <th>categories</th>\n",
       "      <th>city</th>\n",
       "      <th>hours</th>\n",
       "      <th>is_open</th>\n",
       "      <th>latitude</th>\n",
       "      <th>longitude</th>\n",
       "      <th>name</th>\n",
       "      <th>postal_code</th>\n",
       "      <th>review_count</th>\n",
       "      <th>stars</th>\n",
       "      <th>state</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2818 E Camino Acequia Drive</td>\n",
       "      <td>{'GoodForKids': 'False'}</td>\n",
       "      <td>1SWheh84yJXfytovILXOAQ</td>\n",
       "      <td>Golf, Active Life</td>\n",
       "      <td>Phoenix</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>33.522143</td>\n",
       "      <td>-112.018481</td>\n",
       "      <td>Arizona Biltmore Golf Club</td>\n",
       "      <td>85016</td>\n",
       "      <td>5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>AZ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>30 Eglinton Avenue W</td>\n",
       "      <td>{'RestaurantsReservations': 'True', 'GoodForMe...</td>\n",
       "      <td>QXAEGFB4oINsVuTFxEYKFQ</td>\n",
       "      <td>Specialty Food, Restaurants, Dim Sum, Imported...</td>\n",
       "      <td>Mississauga</td>\n",
       "      <td>{'Monday': '9:0-0:0', 'Tuesday': '9:0-0:0', 'W...</td>\n",
       "      <td>1</td>\n",
       "      <td>43.605499</td>\n",
       "      <td>-79.652289</td>\n",
       "      <td>Emerald Chinese Restaurant</td>\n",
       "      <td>L5R 3E7</td>\n",
       "      <td>128</td>\n",
       "      <td>2.5</td>\n",
       "      <td>ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>10110 Johnston Rd, Ste 15</td>\n",
       "      <td>{'GoodForKids': 'True', 'NoiseLevel': 'u'avera...</td>\n",
       "      <td>gnKjwL_1w79qoiV3IC_xQQ</td>\n",
       "      <td>Sushi Bars, Restaurants, Japanese</td>\n",
       "      <td>Charlotte</td>\n",
       "      <td>{'Monday': '17:30-21:30', 'Wednesday': '17:30-...</td>\n",
       "      <td>1</td>\n",
       "      <td>35.092564</td>\n",
       "      <td>-80.859132</td>\n",
       "      <td>Musashi Japanese Restaurant</td>\n",
       "      <td>28210</td>\n",
       "      <td>170</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>15655 W Roosevelt St, Ste 237</td>\n",
       "      <td>None</td>\n",
       "      <td>xvX2CttrVhyG2z1dFg_0xw</td>\n",
       "      <td>Insurance, Financial Services</td>\n",
       "      <td>Goodyear</td>\n",
       "      <td>{'Monday': '8:0-17:0', 'Tuesday': '8:0-17:0', ...</td>\n",
       "      <td>1</td>\n",
       "      <td>33.455613</td>\n",
       "      <td>-112.395596</td>\n",
       "      <td>Farmers Insurance - Paul Lorenz</td>\n",
       "      <td>85338</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "      <td>AZ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4209 Stuart Andrew Blvd, Ste F</td>\n",
       "      <td>{'BusinessAcceptsBitcoin': 'False', 'ByAppoint...</td>\n",
       "      <td>HhyxOkGAM07SRYtlQ4wMFQ</td>\n",
       "      <td>Plumbing, Shopping, Local Services, Home Servi...</td>\n",
       "      <td>Charlotte</td>\n",
       "      <td>{'Monday': '7:0-23:0', 'Tuesday': '7:0-23:0', ...</td>\n",
       "      <td>1</td>\n",
       "      <td>35.190012</td>\n",
       "      <td>-80.887223</td>\n",
       "      <td>Queen City Plumbing</td>\n",
       "      <td>28217</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Credit Valley Town Plaza, F2 - 6045 Creditview Rd</td>\n",
       "      <td>{'BusinessParking': '{'garage': False, 'street...</td>\n",
       "      <td>68dUKd8_8liJ7in4aWOSEA</td>\n",
       "      <td>Shipping Centers, Couriers &amp; Delivery Services...</td>\n",
       "      <td>Mississauga</td>\n",
       "      <td>{'Monday': '9:0-19:0', 'Tuesday': '9:0-20:0', ...</td>\n",
       "      <td>1</td>\n",
       "      <td>43.599475</td>\n",
       "      <td>-79.711584</td>\n",
       "      <td>The UPS Store</td>\n",
       "      <td>L5V 0B1</td>\n",
       "      <td>3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>20 Douglas Woods Drive Southeast</td>\n",
       "      <td>{'RestaurantsPriceRange2': '2', 'BusinessParki...</td>\n",
       "      <td>5JucpCfHZltJh5r1JabjDg</td>\n",
       "      <td>Beauty &amp; Spas, Hair Salons</td>\n",
       "      <td>Calgary</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "      <td>50.943646</td>\n",
       "      <td>-114.001828</td>\n",
       "      <td>Edgeworxx Studio</td>\n",
       "      <td>T2Z 1K4</td>\n",
       "      <td>7</td>\n",
       "      <td>3.5</td>\n",
       "      <td>AB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4545 E Tropicana Rd Ste 8, Tropicana</td>\n",
       "      <td>{'RestaurantsPriceRange2': '3', 'GoodForKids':...</td>\n",
       "      <td>gbQN7vr_caG_A1ugSmGhWg</td>\n",
       "      <td>Hair Salons, Hair Stylists, Barbers, Men's Hai...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>{'Monday': '10:0-19:0', 'Tuesday': '10:0-19:0'...</td>\n",
       "      <td>1</td>\n",
       "      <td>36.099872</td>\n",
       "      <td>-115.074574</td>\n",
       "      <td>Supercuts</td>\n",
       "      <td>89121</td>\n",
       "      <td>3</td>\n",
       "      <td>3.5</td>\n",
       "      <td>NV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>5940 W Union Hills Dr</td>\n",
       "      <td>{'RestaurantsPriceRange2': '2', 'ByAppointment...</td>\n",
       "      <td>Y6iyemLX_oylRpnr38vgMA</td>\n",
       "      <td>Nail Salons, Beauty &amp; Spas, Day Spas</td>\n",
       "      <td>Glendale</td>\n",
       "      <td>{'Tuesday': '12:0-18:0', 'Wednesday': '10:0-18...</td>\n",
       "      <td>0</td>\n",
       "      <td>33.654815</td>\n",
       "      <td>-112.188568</td>\n",
       "      <td>Vita Bella Fine Day Spa</td>\n",
       "      <td>85308</td>\n",
       "      <td>8</td>\n",
       "      <td>5.0</td>\n",
       "      <td>AZ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>21689 Lorain Rd</td>\n",
       "      <td>{'ByAppointmentOnly': 'False', 'BusinessAccept...</td>\n",
       "      <td>4GBVPIYRvzGh4K4TkRQ_rw</td>\n",
       "      <td>Beauty &amp; Spas, Nail Salons, Day Spas, Massage</td>\n",
       "      <td>Fairview Park</td>\n",
       "      <td>{'Tuesday': '9:0-21:0', 'Wednesday': '9:0-21:0...</td>\n",
       "      <td>1</td>\n",
       "      <td>41.440825</td>\n",
       "      <td>-81.854097</td>\n",
       "      <td>Options Salon &amp; Spa</td>\n",
       "      <td>44126</td>\n",
       "      <td>8</td>\n",
       "      <td>4.5</td>\n",
       "      <td>OH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1210 8th Street SW, Unit 220</td>\n",
       "      <td>{'BikeParking': 'False', 'ByAppointmentOnly': ...</td>\n",
       "      <td>fcXOEZdXYeZqnQ3lGlOXmg</td>\n",
       "      <td>Local Services, Professional Services, Compute...</td>\n",
       "      <td>Calgary</td>\n",
       "      <td>{'Monday': '9:0-17:0', 'Tuesday': '9:0-17:0', ...</td>\n",
       "      <td>1</td>\n",
       "      <td>51.041771</td>\n",
       "      <td>-114.081109</td>\n",
       "      <td>Nucleus Information Service</td>\n",
       "      <td>T2R 1L3</td>\n",
       "      <td>5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>AB</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2450 E Indian School Rd</td>\n",
       "      <td>{'RestaurantsTakeOut': 'True', 'BusinessParkin...</td>\n",
       "      <td>1Dfx3zM-rW4n-31KeC8sJg</td>\n",
       "      <td>Restaurants, Breakfast &amp; Brunch, Mexican, Taco...</td>\n",
       "      <td>Phoenix</td>\n",
       "      <td>{'Monday': '7:0-0:0', 'Tuesday': '7:0-0:0', 'W...</td>\n",
       "      <td>1</td>\n",
       "      <td>33.495194</td>\n",
       "      <td>-112.028588</td>\n",
       "      <td>Taco Bell</td>\n",
       "      <td>85016</td>\n",
       "      <td>18</td>\n",
       "      <td>3.0</td>\n",
       "      <td>AZ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>119 Landings Dr, Ste 101</td>\n",
       "      <td>{'BusinessParking': '{'garage': False, 'street...</td>\n",
       "      <td>5t3KVdMnFgAYmSl1wYLhmA</td>\n",
       "      <td>Bars, Nightlife, Pubs, Barbers, Beauty &amp; Spas,...</td>\n",
       "      <td>Mooresville</td>\n",
       "      <td>{'Monday': '10:0-1:0', 'Tuesday': '10:0-1:0', ...</td>\n",
       "      <td>1</td>\n",
       "      <td>35.527410</td>\n",
       "      <td>-80.868003</td>\n",
       "      <td>The Kilted Buffalo Langtree</td>\n",
       "      <td>28117</td>\n",
       "      <td>9</td>\n",
       "      <td>3.5</td>\n",
       "      <td>NC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5981 Andrews Rd</td>\n",
       "      <td>{'RestaurantsPriceRange2': '2', 'BusinessAccep...</td>\n",
       "      <td>fweCYi8FmbJXHCqLnwuk8w</td>\n",
       "      <td>Italian, Restaurants, Pizza, Chicken Wings</td>\n",
       "      <td>Mentor-on-the-Lake</td>\n",
       "      <td>{'Monday': '10:0-0:0', 'Tuesday': '10:0-0:0', ...</td>\n",
       "      <td>1</td>\n",
       "      <td>41.708520</td>\n",
       "      <td>-81.359556</td>\n",
       "      <td>Marco's Pizza</td>\n",
       "      <td>44060</td>\n",
       "      <td>16</td>\n",
       "      <td>4.0</td>\n",
       "      <td>OH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>4145 Erie St</td>\n",
       "      <td>{'RestaurantsTakeOut': 'True', 'BusinessParkin...</td>\n",
       "      <td>-K4gAv8_vjx8-2BxkVeRkA</td>\n",
       "      <td>Bakeries, Food</td>\n",
       "      <td>Willoughby</td>\n",
       "      <td>{'Tuesday': '11:0-17:0', 'Wednesday': '11:0-17...</td>\n",
       "      <td>1</td>\n",
       "      <td>41.639860</td>\n",
       "      <td>-81.406396</td>\n",
       "      <td>Baby Cakes</td>\n",
       "      <td>44094</td>\n",
       "      <td>7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>OH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1455 16th Avenue</td>\n",
       "      <td>{'ByAppointmentOnly': 'False', 'BikeParking': ...</td>\n",
       "      <td>A98xW4qb7vOTguggHFs7Ng</td>\n",
       "      <td>Fitness &amp; Instruction, Active Life, Yoga</td>\n",
       "      <td>Richmond Hill</td>\n",
       "      <td>{'Monday': '16:0-23:0', 'Tuesday': '16:0-23:0'...</td>\n",
       "      <td>1</td>\n",
       "      <td>43.861503</td>\n",
       "      <td>-79.388499</td>\n",
       "      <td>Hot Yoga Wellness</td>\n",
       "      <td>L4B 3G6</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>4848 E Cactus Rd, Ste 100</td>\n",
       "      <td>{'BusinessAcceptsCreditCards': 'True', 'Busine...</td>\n",
       "      <td>giC3pVVFxCRR89rApqklyw</td>\n",
       "      <td>Hair Stylists, Beauty &amp; Spas, Hair Salons, Men...</td>\n",
       "      <td>Scottsdale</td>\n",
       "      <td>{'Monday': '0:0-0:0', 'Tuesday': '9:0-19:0', '...</td>\n",
       "      <td>1</td>\n",
       "      <td>33.600071</td>\n",
       "      <td>-111.977371</td>\n",
       "      <td>Knot Salon</td>\n",
       "      <td>85254</td>\n",
       "      <td>5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>AZ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1775 E Tropicana Ave, Ste 29</td>\n",
       "      <td>{'OutdoorSeating': 'False', 'BusinessAcceptsCr...</td>\n",
       "      <td>PZ-LZzSlhSe9utkQYU8pFg</td>\n",
       "      <td>Restaurants, Italian</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>36.100016</td>\n",
       "      <td>-115.128529</td>\n",
       "      <td>Carluccio's Tivoli Gardens</td>\n",
       "      <td>89119</td>\n",
       "      <td>40</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td></td>\n",
       "      <td>{'BusinessAcceptsCreditCards': 'True'}</td>\n",
       "      <td>nh_kQ16QAoXWwqZ05MPfBQ</td>\n",
       "      <td>Event Planning &amp; Services, Photographers, Prof...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>{'Monday': '0:0-0:0', 'Tuesday': '0:0-0:0', 'W...</td>\n",
       "      <td>1</td>\n",
       "      <td>36.116549</td>\n",
       "      <td>-115.088115</td>\n",
       "      <td>Myron Hensel Photography</td>\n",
       "      <td>89121</td>\n",
       "      <td>21</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>445 King Street W, Suite 101</td>\n",
       "      <td>{'AcceptsInsurance': 'True', 'ByAppointmentOnl...</td>\n",
       "      <td>zSpQmEBvRe3IhTUlMSA6HQ</td>\n",
       "      <td>Trainers, Health &amp; Medical, Active Life, Physi...</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>{'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...</td>\n",
       "      <td>1</td>\n",
       "      <td>43.645041</td>\n",
       "      <td>-79.395799</td>\n",
       "      <td>Totum Life Science</td>\n",
       "      <td>M5V 1K4</td>\n",
       "      <td>23</td>\n",
       "      <td>4.0</td>\n",
       "      <td>ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>450 Fremont St, Ste 179</td>\n",
       "      <td>{'GoodForKids': 'True'}</td>\n",
       "      <td>dFMxzHygTy6F873843dHAA</td>\n",
       "      <td>Arcades, Arts &amp; Entertainment</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>{'Monday': '11:0-0:0', 'Tuesday': '11:0-0:0', ...</td>\n",
       "      <td>1</td>\n",
       "      <td>36.169993</td>\n",
       "      <td>-115.140685</td>\n",
       "      <td>Fremont Arcade</td>\n",
       "      <td>89101</td>\n",
       "      <td>38</td>\n",
       "      <td>4.5</td>\n",
       "      <td>NV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>3650 N 5th, Ste 100</td>\n",
       "      <td>{'BusinessAcceptsCreditCards': 'True'}</td>\n",
       "      <td>lxnuq9wJiwLOPJ4uZU2ljg</td>\n",
       "      <td>Automotive, Car Dealers</td>\n",
       "      <td>North Las Vegas</td>\n",
       "      <td>{'Monday': '9:0-18:0', 'Tuesday': '9:0-18:0', ...</td>\n",
       "      <td>1</td>\n",
       "      <td>36.225851</td>\n",
       "      <td>-115.132800</td>\n",
       "      <td>Las Vegas Motorcars</td>\n",
       "      <td>89032</td>\n",
       "      <td>3</td>\n",
       "      <td>3.5</td>\n",
       "      <td>NV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>6007 Dean Martin Dr</td>\n",
       "      <td>{'BikeParking': 'False', 'Ambience': '{'romant...</td>\n",
       "      <td>KWywu2tTEPWmR9JnBc0WyQ</td>\n",
       "      <td>Nightlife, Arts &amp; Entertainment, Bars, Strip C...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>{'Thursday': '19:30-2:0', 'Friday': '19:30-3:0...</td>\n",
       "      <td>1</td>\n",
       "      <td>36.080168</td>\n",
       "      <td>-115.182756</td>\n",
       "      <td>Hunk Mansion</td>\n",
       "      <td>89118</td>\n",
       "      <td>107</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Center Core - Food Court, Fl 3, Pittsburgh Int...</td>\n",
       "      <td>{'RestaurantsTakeOut': 'True', 'BusinessParkin...</td>\n",
       "      <td>1RHY4K3BD22FK7Cfftn8Mg</td>\n",
       "      <td>Sandwiches, Salad, Restaurants, Burgers, Comfo...</td>\n",
       "      <td>Pittsburgh</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "      <td>40.496177</td>\n",
       "      <td>-80.246011</td>\n",
       "      <td>Marathon Diner</td>\n",
       "      <td>15231</td>\n",
       "      <td>35</td>\n",
       "      <td>4.0</td>\n",
       "      <td>PA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>7981 W Tropical Pkwy, Ste 120</td>\n",
       "      <td>{'BusinessAcceptsCreditCards': 'True', 'Busine...</td>\n",
       "      <td>BsMdebN4nZySpGTfXr-7yg</td>\n",
       "      <td>Women's Clothing, Shopping, Accessories, Fashi...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>{'Monday': '10:0-20:0', 'Tuesday': '10:0-20:0'...</td>\n",
       "      <td>1</td>\n",
       "      <td>36.271546</td>\n",
       "      <td>-115.264484</td>\n",
       "      <td>Maurices</td>\n",
       "      <td>89149</td>\n",
       "      <td>4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>6055 E Lake Mead Blvd</td>\n",
       "      <td>{'BikeParking': 'True', 'BusinessParking': '{'...</td>\n",
       "      <td>tstimHoMcYbkSC4eBA1wEg</td>\n",
       "      <td>Mexican, Restaurants, Patisserie/Cake Shop, Fo...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>{'Monday': '11:0-21:0', 'Tuesday': '10:0-21:0'...</td>\n",
       "      <td>1</td>\n",
       "      <td>36.195615</td>\n",
       "      <td>-115.040529</td>\n",
       "      <td>Maria's Mexican Restaurant &amp; Bakery</td>\n",
       "      <td>89156</td>\n",
       "      <td>184</td>\n",
       "      <td>4.5</td>\n",
       "      <td>NV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>865 York Mills Road, Unit 1</td>\n",
       "      <td>{'RestaurantsDelivery': 'False', 'RestaurantsP...</td>\n",
       "      <td>C9oCPomVP0mtKa8z99E3gg</td>\n",
       "      <td>Bakeries, Food</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>{'Monday': '9:0-20:0', 'Tuesday': '9:0-20:0', ...</td>\n",
       "      <td>1</td>\n",
       "      <td>43.754093</td>\n",
       "      <td>-79.349548</td>\n",
       "      <td>Bakery Gateau</td>\n",
       "      <td>M3B 1Y6</td>\n",
       "      <td>8</td>\n",
       "      <td>4.5</td>\n",
       "      <td>ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>26 Bellair St</td>\n",
       "      <td>{'RestaurantsPriceRange2': '3', 'BusinessParki...</td>\n",
       "      <td>C9keC4mWuXdl2mYFHZXudQ</td>\n",
       "      <td>Fashion, Sporting Goods, Men's Clothing, Shopp...</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>{'Monday': '11:30-19:0', 'Tuesday': '11:30-19:...</td>\n",
       "      <td>1</td>\n",
       "      <td>43.670744</td>\n",
       "      <td>-79.391385</td>\n",
       "      <td>Uncle Otis Clothing</td>\n",
       "      <td>M5R 2C7</td>\n",
       "      <td>12</td>\n",
       "      <td>5.0</td>\n",
       "      <td>ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>3325 W Desert Inn Rd, Ste 101</td>\n",
       "      <td>{'BusinessAcceptsCreditCards': 'True'}</td>\n",
       "      <td>iojTeSaoPuxm4WeCzDUA6w</td>\n",
       "      <td>Car Rental, Windshield Installation &amp; Repair, ...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>{'Monday': '0:0-0:0', 'Tuesday': '8:0-18:0', '...</td>\n",
       "      <td>1</td>\n",
       "      <td>36.129424</td>\n",
       "      <td>-115.184443</td>\n",
       "      <td>AW Collision</td>\n",
       "      <td>89102</td>\n",
       "      <td>52</td>\n",
       "      <td>4.5</td>\n",
       "      <td>NV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1170 Queen Street W</td>\n",
       "      <td>{'WiFi': 'u'no'', 'BikeParking': 'True', 'Rest...</td>\n",
       "      <td>NDuUMJfrWk52RA-H-OtrpA</td>\n",
       "      <td>Juice Bars &amp; Smoothies, Food, Restaurants, Fas...</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>{'Monday': '8:0-21:0', 'Tuesday': '8:0-21:0', ...</td>\n",
       "      <td>1</td>\n",
       "      <td>43.642889</td>\n",
       "      <td>-79.425429</td>\n",
       "      <td>Bolt Fresh Bar</td>\n",
       "      <td>M6J 1J5</td>\n",
       "      <td>57</td>\n",
       "      <td>3.0</td>\n",
       "      <td>ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192579</th>\n",
       "      <td>3227 E Encanto St</td>\n",
       "      <td>None</td>\n",
       "      <td>I5aBfKQVRg0fOOrl62doYA</td>\n",
       "      <td>Shredding Services, Professional Services, Jun...</td>\n",
       "      <td>Mesa</td>\n",
       "      <td>{'Monday': '8:0-18:0', 'Tuesday': '8:0-18:0', ...</td>\n",
       "      <td>1</td>\n",
       "      <td>33.433003</td>\n",
       "      <td>-111.759078</td>\n",
       "      <td>Cutters Document Destruction</td>\n",
       "      <td>85213</td>\n",
       "      <td>3</td>\n",
       "      <td>4.5</td>\n",
       "      <td>AZ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192580</th>\n",
       "      <td>3355 Las Vegas Blvd S</td>\n",
       "      <td>{'WiFi': ''no'', 'Alcohol': 'u'full_bar'', 'Am...</td>\n",
       "      <td>SoPVLaoQlHuoZlt4fQBXTw</td>\n",
       "      <td>Champagne Bars, Nightlife, Bars</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>None</td>\n",
       "      <td>0</td>\n",
       "      <td>36.124220</td>\n",
       "      <td>-115.168602</td>\n",
       "      <td>Laguna Champagne Bar</td>\n",
       "      <td>89109</td>\n",
       "      <td>48</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192581</th>\n",
       "      <td></td>\n",
       "      <td>{'ByAppointmentOnly': 'True', 'BusinessAccepts...</td>\n",
       "      <td>iQbPJGBmxuYgLfW7niJ8lQ</td>\n",
       "      <td>Home Services, Landscaping</td>\n",
       "      <td>Tempe</td>\n",
       "      <td>{'Monday': '5:0-19:0', 'Tuesday': '5:0-19:0', ...</td>\n",
       "      <td>1</td>\n",
       "      <td>33.389758</td>\n",
       "      <td>-111.934364</td>\n",
       "      <td>Adrian Torres Landscaping</td>\n",
       "      <td>85282</td>\n",
       "      <td>20</td>\n",
       "      <td>4.0</td>\n",
       "      <td>AZ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192582</th>\n",
       "      <td>2046 Sheppard Avenue E</td>\n",
       "      <td>{'BikeParking': 'True', 'RestaurantsTakeOut': ...</td>\n",
       "      <td>Pc0C3Pzf-DwEfJZrkCR3QA</td>\n",
       "      <td>Specialty Food, International Grocery, Ethnic ...</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>{'Monday': '10:0-19:0', 'Tuesday': '10:0-19:0'...</td>\n",
       "      <td>1</td>\n",
       "      <td>43.790660</td>\n",
       "      <td>-79.254010</td>\n",
       "      <td>Mercator Euro Mini Mart</td>\n",
       "      <td>M1R 5B3</td>\n",
       "      <td>6</td>\n",
       "      <td>3.5</td>\n",
       "      <td>ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192583</th>\n",
       "      <td>81 Yorkville Avenue</td>\n",
       "      <td>{'RestaurantsTakeOut': 'True', 'Alcohol': 'u'f...</td>\n",
       "      <td>lo8WwqKogC-kz4toRvkdUQ</td>\n",
       "      <td>Korean, Japanese, Asian Fusion, Restaurants</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>{'Monday': '11:30-22:30', 'Tuesday': '11:30-22...</td>\n",
       "      <td>1</td>\n",
       "      <td>43.670948</td>\n",
       "      <td>-79.391502</td>\n",
       "      <td>KOKO! Share Bar</td>\n",
       "      <td>M5R 1C1</td>\n",
       "      <td>47</td>\n",
       "      <td>3.5</td>\n",
       "      <td>ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192584</th>\n",
       "      <td>801 S Pavilion Dr</td>\n",
       "      <td>None</td>\n",
       "      <td>XlRGtOjPuiEfZsKuo2fRdw</td>\n",
       "      <td>None</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "      <td>36.163000</td>\n",
       "      <td>-115.332709</td>\n",
       "      <td>Costco Hearing Aid Center</td>\n",
       "      <td>89101</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192585</th>\n",
       "      <td>8920 Highway 50</td>\n",
       "      <td>{'WiFi': ''free'', 'RestaurantsTakeOut': 'True...</td>\n",
       "      <td>3HAPJH0Qoi8Ix6M9rUMfjg</td>\n",
       "      <td>Restaurants, Indian</td>\n",
       "      <td>Brampton</td>\n",
       "      <td>{'Monday': '11:30-22:0', 'Wednesday': '11:30-2...</td>\n",
       "      <td>1</td>\n",
       "      <td>43.775089</td>\n",
       "      <td>-79.653807</td>\n",
       "      <td>Indian Hero</td>\n",
       "      <td>L6P 3A3</td>\n",
       "      <td>39</td>\n",
       "      <td>3.0</td>\n",
       "      <td>ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192586</th>\n",
       "      <td></td>\n",
       "      <td>{'BusinessAcceptsCreditCards': 'True', 'Busine...</td>\n",
       "      <td>6tOKoZX1Gj3Uzjc1-JzYNQ</td>\n",
       "      <td>Landscape Architects, Home Services, Gardeners...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>{'Monday': '0:0-0:0', 'Tuesday': '7:0-14:0', '...</td>\n",
       "      <td>1</td>\n",
       "      <td>36.168824</td>\n",
       "      <td>-115.218557</td>\n",
       "      <td>Premier Landscape Maintenance</td>\n",
       "      <td>89107</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192587</th>\n",
       "      <td>578 Yonge Street</td>\n",
       "      <td>{'RestaurantsPriceRange2': '2', 'RestaurantsGo...</td>\n",
       "      <td>oS0CnUbyv0GUoD3L8_3UPQ</td>\n",
       "      <td>Restaurants, Thai</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>{'Monday': '0:0-0:0', 'Tuesday': '11:0-23:0', ...</td>\n",
       "      <td>1</td>\n",
       "      <td>43.665120</td>\n",
       "      <td>-79.384809</td>\n",
       "      <td>Thai Fantasy</td>\n",
       "      <td>M4Y 1Z3</td>\n",
       "      <td>113</td>\n",
       "      <td>4.0</td>\n",
       "      <td>ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192588</th>\n",
       "      <td>1927 E Carson St</td>\n",
       "      <td>{'BusinessAcceptsCreditCards': 'True', 'ByAppo...</td>\n",
       "      <td>1pcqM_Ptk9Ee-VmqE1qiBg</td>\n",
       "      <td>Chiropractors, Health &amp; Medical</td>\n",
       "      <td>Pittsburgh</td>\n",
       "      <td>{'Monday': '9:0-18:0', 'Tuesday': '9:0-18:0', ...</td>\n",
       "      <td>1</td>\n",
       "      <td>40.428768</td>\n",
       "      <td>-79.977941</td>\n",
       "      <td>Ploucha Chiropractic Center</td>\n",
       "      <td>15203</td>\n",
       "      <td>5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>PA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192589</th>\n",
       "      <td>3863 Medina Rd</td>\n",
       "      <td>{'RestaurantsPriceRange2': '2', 'HasTV': 'Fals...</td>\n",
       "      <td>ghovD5ZTGDQ5Q2U4ERddWw</td>\n",
       "      <td>Burgers, Restaurants, Fast Food, American (New)</td>\n",
       "      <td>Fairlawn</td>\n",
       "      <td>{'Monday': '11:0-22:0', 'Tuesday': '11:0-22:0'...</td>\n",
       "      <td>1</td>\n",
       "      <td>41.136561</td>\n",
       "      <td>-81.639712</td>\n",
       "      <td>Five Guys</td>\n",
       "      <td>44333</td>\n",
       "      <td>22</td>\n",
       "      <td>4.0</td>\n",
       "      <td>OH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192590</th>\n",
       "      <td>9526 Birkdale Crossing Dr, Ste 22</td>\n",
       "      <td>{'BusinessAcceptsCreditCards': 'True', 'Restau...</td>\n",
       "      <td>-VnsYKUddm8eUr4k_bYf0g</td>\n",
       "      <td>Nail Salons, Beauty &amp; Spas</td>\n",
       "      <td>Huntersville</td>\n",
       "      <td>{'Monday': '9:30-19:0', 'Tuesday': '9:30-19:0'...</td>\n",
       "      <td>1</td>\n",
       "      <td>35.443506</td>\n",
       "      <td>-80.886257</td>\n",
       "      <td>In 2 Nails</td>\n",
       "      <td>28078</td>\n",
       "      <td>32</td>\n",
       "      <td>3.5</td>\n",
       "      <td>NC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192591</th>\n",
       "      <td>3111 W Chandler Blvd</td>\n",
       "      <td>{'RestaurantsPriceRange2': '3', 'BusinessAccep...</td>\n",
       "      <td>h3pRrJ5tKgr5aAVonQSCGw</td>\n",
       "      <td>Shopping, Women's Clothing, Fashion</td>\n",
       "      <td>Chandler</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "      <td>33.301470</td>\n",
       "      <td>-111.898406</td>\n",
       "      <td>White House Black Market</td>\n",
       "      <td>85226</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>AZ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192592</th>\n",
       "      <td>540 Eglinton Avenue W</td>\n",
       "      <td>{'BusinessParking': '{'garage': False, 'street...</td>\n",
       "      <td>12yF9Vz4vH5DXcSeiUt6zw</td>\n",
       "      <td>Nail Salons, Beauty &amp; Spas</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>{'Monday': '0:0-0:0', 'Tuesday': '10:0-19:0', ...</td>\n",
       "      <td>1</td>\n",
       "      <td>43.703476</td>\n",
       "      <td>-79.414548</td>\n",
       "      <td>LTS Nails</td>\n",
       "      <td>M5N</td>\n",
       "      <td>12</td>\n",
       "      <td>4.5</td>\n",
       "      <td>ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192593</th>\n",
       "      <td>141 Mont-Royal Avenue E</td>\n",
       "      <td>{'OutdoorSeating': 'False', 'ByAppointmentOnly...</td>\n",
       "      <td>2zFYcRgZjPGz_hqYgCCYVw</td>\n",
       "      <td>Hair Salons, Beauty &amp; Spas, Nightlife, Dance C...</td>\n",
       "      <td>Montréal</td>\n",
       "      <td>{'Tuesday': '22:0-3:0', 'Wednesday': '22:0-3:0...</td>\n",
       "      <td>1</td>\n",
       "      <td>45.521538</td>\n",
       "      <td>-73.585241</td>\n",
       "      <td>Salon Daome</td>\n",
       "      <td>H2T 1N9</td>\n",
       "      <td>15</td>\n",
       "      <td>3.5</td>\n",
       "      <td>QC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192594</th>\n",
       "      <td>4186 Kent Rd</td>\n",
       "      <td>None</td>\n",
       "      <td>NVSmNWDNYYZ82sdYID_9Tw</td>\n",
       "      <td>Electronics, Home Services, Professional Servi...</td>\n",
       "      <td>Stow</td>\n",
       "      <td>{'Monday': '10:0-20:0', 'Wednesday': '10:0-20:...</td>\n",
       "      <td>1</td>\n",
       "      <td>41.156952</td>\n",
       "      <td>-81.410898</td>\n",
       "      <td>Verizon</td>\n",
       "      <td>44224</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>OH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192595</th>\n",
       "      <td>1450 Kingston Rd</td>\n",
       "      <td>{'BikeParking': 'True', 'RestaurantsAttire': '...</td>\n",
       "      <td>h3QErqS3OZgLJ5Tb6-sLyQ</td>\n",
       "      <td>Restaurants, Soup, Chinese, Caribbean</td>\n",
       "      <td>Pickering</td>\n",
       "      <td>{'Monday': '11:0-21:30', 'Tuesday': '11:0-21:3...</td>\n",
       "      <td>1</td>\n",
       "      <td>43.841844</td>\n",
       "      <td>-79.083881</td>\n",
       "      <td>Asia Hut</td>\n",
       "      <td>L1V 1C1</td>\n",
       "      <td>4</td>\n",
       "      <td>4.5</td>\n",
       "      <td>ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192596</th>\n",
       "      <td>948 Boulevard de Maisonneuve Est</td>\n",
       "      <td>{'GoodForKids': 'True', 'WiFi': 'u'no'', 'Rest...</td>\n",
       "      <td>KnafX7T6qSAmSrLhd709vA</td>\n",
       "      <td>Vietnamese, Soup, Restaurants</td>\n",
       "      <td>Montréal</td>\n",
       "      <td>{'Monday': '12:0-21:0', 'Tuesday': '12:0-21:0'...</td>\n",
       "      <td>1</td>\n",
       "      <td>45.517430</td>\n",
       "      <td>-73.558873</td>\n",
       "      <td>Pho Maisonneuve</td>\n",
       "      <td>H2L 1Z1</td>\n",
       "      <td>25</td>\n",
       "      <td>4.0</td>\n",
       "      <td>QC</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192597</th>\n",
       "      <td>11165 S Eastern Ave, Ste 110</td>\n",
       "      <td>{'BusinessAcceptsCreditCards': 'True', 'GoodFo...</td>\n",
       "      <td>C7i3HJH0nMyo2K7ZwHToQg</td>\n",
       "      <td>Chinese Martial Arts, Specialty Schools, Educa...</td>\n",
       "      <td>Henderson</td>\n",
       "      <td>{'Monday': '16:0-21:0', 'Tuesday': '16:0-21:0'...</td>\n",
       "      <td>1</td>\n",
       "      <td>35.989577</td>\n",
       "      <td>-115.101495</td>\n",
       "      <td>Las Vegas Kung Fu Academy</td>\n",
       "      <td>89052</td>\n",
       "      <td>15</td>\n",
       "      <td>4.5</td>\n",
       "      <td>NV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192598</th>\n",
       "      <td>8164 S. Las Vegas Blvd., #100</td>\n",
       "      <td>{'OutdoorSeating': 'True', 'WiFi': 'u'free'', ...</td>\n",
       "      <td>vIAEWbTJc657yN8I4z7whQ</td>\n",
       "      <td>Food, Coffee &amp; Tea</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>{'Monday': '0:0-0:0', 'Tuesday': '0:0-0:0', 'W...</td>\n",
       "      <td>1</td>\n",
       "      <td>36.041407</td>\n",
       "      <td>-115.171698</td>\n",
       "      <td>Starbucks</td>\n",
       "      <td>89123</td>\n",
       "      <td>138</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192599</th>\n",
       "      <td>343 N Gilbert Rd</td>\n",
       "      <td>{'BusinessAcceptsCreditCards': 'True', 'ByAppo...</td>\n",
       "      <td>ABjONdA5Fw8XBOM65tmW4w</td>\n",
       "      <td>Plumbing, Water Heater Installation/Repair, Pr...</td>\n",
       "      <td>Gilbert</td>\n",
       "      <td>{'Monday': '7:0-17:0', 'Tuesday': '7:0-17:30',...</td>\n",
       "      <td>1</td>\n",
       "      <td>33.356540</td>\n",
       "      <td>-111.789367</td>\n",
       "      <td>Phend Plumbing &amp; Rooter</td>\n",
       "      <td>85234</td>\n",
       "      <td>47</td>\n",
       "      <td>5.0</td>\n",
       "      <td>AZ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192600</th>\n",
       "      <td></td>\n",
       "      <td>None</td>\n",
       "      <td>ZidLd2a1uJCMfIhLylX5ww</td>\n",
       "      <td>Pet Training, Professional Services, Pet Servi...</td>\n",
       "      <td>Phoenix</td>\n",
       "      <td>{'Monday': '8:0-19:30', 'Tuesday': '8:0-19:30'...</td>\n",
       "      <td>1</td>\n",
       "      <td>33.347160</td>\n",
       "      <td>-111.975380</td>\n",
       "      <td>Team Canine</td>\n",
       "      <td>85076</td>\n",
       "      <td>19</td>\n",
       "      <td>4.5</td>\n",
       "      <td>AZ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192601</th>\n",
       "      <td>5350 E Marriott Dr</td>\n",
       "      <td>{'BusinessAcceptsBitcoin': 'False', 'GoodForKi...</td>\n",
       "      <td>jJoPLIhCjkGXy59I4Jl6zw</td>\n",
       "      <td>Golf, Hotels, Day Spas, Hotels &amp; Travel, Event...</td>\n",
       "      <td>Phoenix</td>\n",
       "      <td>{'Monday': '0:0-0:0', 'Tuesday': '0:0-0:0', 'W...</td>\n",
       "      <td>1</td>\n",
       "      <td>33.683910</td>\n",
       "      <td>-111.966235</td>\n",
       "      <td>JW Marriott Phoenix Desert Ridge Resort &amp; Spa</td>\n",
       "      <td>85054</td>\n",
       "      <td>441</td>\n",
       "      <td>4.0</td>\n",
       "      <td>AZ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192602</th>\n",
       "      <td>2179 S Green Rd</td>\n",
       "      <td>{'RestaurantsPriceRange2': '2', 'BusinessParki...</td>\n",
       "      <td>go-_xdHHSufchOeZ3kkC8w</td>\n",
       "      <td>Food, Beer, Wine &amp; Spirits</td>\n",
       "      <td>University Heights</td>\n",
       "      <td>{'Monday': '11:30-21:0', 'Tuesday': '9:0-21:0'...</td>\n",
       "      <td>0</td>\n",
       "      <td>41.500621</td>\n",
       "      <td>-81.518241</td>\n",
       "      <td>Cedar Green Wine &amp; Cheese</td>\n",
       "      <td>44121</td>\n",
       "      <td>12</td>\n",
       "      <td>3.0</td>\n",
       "      <td>OH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192603</th>\n",
       "      <td>1911 N Cleveland-Massillon Rd</td>\n",
       "      <td>{'OutdoorSeating': 'True', 'BikeParking': 'Tru...</td>\n",
       "      <td>p1eUTUB_5hf1enoKYBV3DA</td>\n",
       "      <td>Restaurants, Italian</td>\n",
       "      <td>Bath</td>\n",
       "      <td>{'Monday': '0:0-0:0', 'Tuesday': '17:0-22:0', ...</td>\n",
       "      <td>1</td>\n",
       "      <td>41.187547</td>\n",
       "      <td>-81.635791</td>\n",
       "      <td>Ken Stewart's Tre Belle</td>\n",
       "      <td>44210</td>\n",
       "      <td>39</td>\n",
       "      <td>3.5</td>\n",
       "      <td>OH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192604</th>\n",
       "      <td></td>\n",
       "      <td>{'BusinessAcceptsCreditCards': 'True'}</td>\n",
       "      <td>nqb4kWcOwp8bFxzfvaDpZQ</td>\n",
       "      <td>Water Purification Services, Water Heater Inst...</td>\n",
       "      <td>North Las Vegas</td>\n",
       "      <td>{'Monday': '0:0-0:0', 'Tuesday': '0:0-0:0', 'W...</td>\n",
       "      <td>1</td>\n",
       "      <td>36.213732</td>\n",
       "      <td>-115.177059</td>\n",
       "      <td>Sanderson Plumbing</td>\n",
       "      <td>89032</td>\n",
       "      <td>9</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NV</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192605</th>\n",
       "      <td>17440 Yonge Street</td>\n",
       "      <td>{'RestaurantsPriceRange2': '2', 'BikeParking':...</td>\n",
       "      <td>vY2nLU5K20Pee-FdG0br1g</td>\n",
       "      <td>Books, Mags, Music &amp; Video, Shopping</td>\n",
       "      <td>Newmarket</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "      <td>44.052658</td>\n",
       "      <td>-79.481850</td>\n",
       "      <td>Chapters</td>\n",
       "      <td>L3Y 6Y9</td>\n",
       "      <td>3</td>\n",
       "      <td>4.5</td>\n",
       "      <td>ON</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192606</th>\n",
       "      <td>21230 N 22nd St</td>\n",
       "      <td>{'BusinessAcceptsCreditCards': 'True', 'ByAppo...</td>\n",
       "      <td>MiEyUDKTjeci5TMfxVZPpg</td>\n",
       "      <td>Home Services, Contractors, Landscaping, Mason...</td>\n",
       "      <td>Phoenix</td>\n",
       "      <td>{'Monday': '7:0-15:0', 'Tuesday': '7:0-15:0', ...</td>\n",
       "      <td>1</td>\n",
       "      <td>33.679992</td>\n",
       "      <td>-112.035569</td>\n",
       "      <td>Phoenix Pavers</td>\n",
       "      <td>85024</td>\n",
       "      <td>14</td>\n",
       "      <td>4.5</td>\n",
       "      <td>AZ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192607</th>\n",
       "      <td>4406 E Main St</td>\n",
       "      <td>{'RestaurantsPriceRange2': '1', 'BusinessAccep...</td>\n",
       "      <td>zNMupayB2jEHVDOji8sxoQ</td>\n",
       "      <td>Beauty &amp; Spas, Barbers</td>\n",
       "      <td>Mesa</td>\n",
       "      <td>{'Tuesday': '8:30-17:30', 'Wednesday': '8:30-1...</td>\n",
       "      <td>1</td>\n",
       "      <td>33.416137</td>\n",
       "      <td>-111.735743</td>\n",
       "      <td>Beasley's Barber Shop</td>\n",
       "      <td>85205</td>\n",
       "      <td>15</td>\n",
       "      <td>4.5</td>\n",
       "      <td>AZ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192608</th>\n",
       "      <td>3735 S Las Vegas Blvd</td>\n",
       "      <td>{'BikeParking': 'False', 'RestaurantsPriceRang...</td>\n",
       "      <td>c1f_VAX1KIK8-JoVhjbYOw</td>\n",
       "      <td>Massage, Beauty &amp; Spas</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>{'Monday': '10:0-0:0', 'Tuesday': '10:0-0:0', ...</td>\n",
       "      <td>0</td>\n",
       "      <td>36.107267</td>\n",
       "      <td>-115.171920</td>\n",
       "      <td>Oriental Relax</td>\n",
       "      <td>89109</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NV</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>192609 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                                  address  \\\n",
       "0                             2818 E Camino Acequia Drive   \n",
       "1                                    30 Eglinton Avenue W   \n",
       "2                               10110 Johnston Rd, Ste 15   \n",
       "3                           15655 W Roosevelt St, Ste 237   \n",
       "4                          4209 Stuart Andrew Blvd, Ste F   \n",
       "5       Credit Valley Town Plaza, F2 - 6045 Creditview Rd   \n",
       "6                        20 Douglas Woods Drive Southeast   \n",
       "7                    4545 E Tropicana Rd Ste 8, Tropicana   \n",
       "8                                   5940 W Union Hills Dr   \n",
       "9                                         21689 Lorain Rd   \n",
       "10                           1210 8th Street SW, Unit 220   \n",
       "11                                2450 E Indian School Rd   \n",
       "12                               119 Landings Dr, Ste 101   \n",
       "13                                        5981 Andrews Rd   \n",
       "14                                           4145 Erie St   \n",
       "15                                       1455 16th Avenue   \n",
       "16                              4848 E Cactus Rd, Ste 100   \n",
       "17                           1775 E Tropicana Ave, Ste 29   \n",
       "18                                                          \n",
       "19                           445 King Street W, Suite 101   \n",
       "20                                450 Fremont St, Ste 179   \n",
       "21                                    3650 N 5th, Ste 100   \n",
       "22                                    6007 Dean Martin Dr   \n",
       "23      Center Core - Food Court, Fl 3, Pittsburgh Int...   \n",
       "24                          7981 W Tropical Pkwy, Ste 120   \n",
       "25                                  6055 E Lake Mead Blvd   \n",
       "26                            865 York Mills Road, Unit 1   \n",
       "27                                          26 Bellair St   \n",
       "28                          3325 W Desert Inn Rd, Ste 101   \n",
       "29                                    1170 Queen Street W   \n",
       "...                                                   ...   \n",
       "192579                                  3227 E Encanto St   \n",
       "192580                              3355 Las Vegas Blvd S   \n",
       "192581                                                      \n",
       "192582                             2046 Sheppard Avenue E   \n",
       "192583                                81 Yorkville Avenue   \n",
       "192584                                  801 S Pavilion Dr   \n",
       "192585                                    8920 Highway 50   \n",
       "192586                                                      \n",
       "192587                                   578 Yonge Street   \n",
       "192588                                   1927 E Carson St   \n",
       "192589                                     3863 Medina Rd   \n",
       "192590                  9526 Birkdale Crossing Dr, Ste 22   \n",
       "192591                               3111 W Chandler Blvd   \n",
       "192592                              540 Eglinton Avenue W   \n",
       "192593                            141 Mont-Royal Avenue E   \n",
       "192594                                       4186 Kent Rd   \n",
       "192595                                   1450 Kingston Rd   \n",
       "192596                   948 Boulevard de Maisonneuve Est   \n",
       "192597                       11165 S Eastern Ave, Ste 110   \n",
       "192598                      8164 S. Las Vegas Blvd., #100   \n",
       "192599                                   343 N Gilbert Rd   \n",
       "192600                                                      \n",
       "192601                                 5350 E Marriott Dr   \n",
       "192602                                    2179 S Green Rd   \n",
       "192603                      1911 N Cleveland-Massillon Rd   \n",
       "192604                                                      \n",
       "192605                                 17440 Yonge Street   \n",
       "192606                                    21230 N 22nd St   \n",
       "192607                                     4406 E Main St   \n",
       "192608                              3735 S Las Vegas Blvd   \n",
       "\n",
       "                                               attributes  \\\n",
       "0                                {'GoodForKids': 'False'}   \n",
       "1       {'RestaurantsReservations': 'True', 'GoodForMe...   \n",
       "2       {'GoodForKids': 'True', 'NoiseLevel': 'u'avera...   \n",
       "3                                                    None   \n",
       "4       {'BusinessAcceptsBitcoin': 'False', 'ByAppoint...   \n",
       "5       {'BusinessParking': '{'garage': False, 'street...   \n",
       "6       {'RestaurantsPriceRange2': '2', 'BusinessParki...   \n",
       "7       {'RestaurantsPriceRange2': '3', 'GoodForKids':...   \n",
       "8       {'RestaurantsPriceRange2': '2', 'ByAppointment...   \n",
       "9       {'ByAppointmentOnly': 'False', 'BusinessAccept...   \n",
       "10      {'BikeParking': 'False', 'ByAppointmentOnly': ...   \n",
       "11      {'RestaurantsTakeOut': 'True', 'BusinessParkin...   \n",
       "12      {'BusinessParking': '{'garage': False, 'street...   \n",
       "13      {'RestaurantsPriceRange2': '2', 'BusinessAccep...   \n",
       "14      {'RestaurantsTakeOut': 'True', 'BusinessParkin...   \n",
       "15      {'ByAppointmentOnly': 'False', 'BikeParking': ...   \n",
       "16      {'BusinessAcceptsCreditCards': 'True', 'Busine...   \n",
       "17      {'OutdoorSeating': 'False', 'BusinessAcceptsCr...   \n",
       "18                 {'BusinessAcceptsCreditCards': 'True'}   \n",
       "19      {'AcceptsInsurance': 'True', 'ByAppointmentOnl...   \n",
       "20                                {'GoodForKids': 'True'}   \n",
       "21                 {'BusinessAcceptsCreditCards': 'True'}   \n",
       "22      {'BikeParking': 'False', 'Ambience': '{'romant...   \n",
       "23      {'RestaurantsTakeOut': 'True', 'BusinessParkin...   \n",
       "24      {'BusinessAcceptsCreditCards': 'True', 'Busine...   \n",
       "25      {'BikeParking': 'True', 'BusinessParking': '{'...   \n",
       "26      {'RestaurantsDelivery': 'False', 'RestaurantsP...   \n",
       "27      {'RestaurantsPriceRange2': '3', 'BusinessParki...   \n",
       "28                 {'BusinessAcceptsCreditCards': 'True'}   \n",
       "29      {'WiFi': 'u'no'', 'BikeParking': 'True', 'Rest...   \n",
       "...                                                   ...   \n",
       "192579                                               None   \n",
       "192580  {'WiFi': ''no'', 'Alcohol': 'u'full_bar'', 'Am...   \n",
       "192581  {'ByAppointmentOnly': 'True', 'BusinessAccepts...   \n",
       "192582  {'BikeParking': 'True', 'RestaurantsTakeOut': ...   \n",
       "192583  {'RestaurantsTakeOut': 'True', 'Alcohol': 'u'f...   \n",
       "192584                                               None   \n",
       "192585  {'WiFi': ''free'', 'RestaurantsTakeOut': 'True...   \n",
       "192586  {'BusinessAcceptsCreditCards': 'True', 'Busine...   \n",
       "192587  {'RestaurantsPriceRange2': '2', 'RestaurantsGo...   \n",
       "192588  {'BusinessAcceptsCreditCards': 'True', 'ByAppo...   \n",
       "192589  {'RestaurantsPriceRange2': '2', 'HasTV': 'Fals...   \n",
       "192590  {'BusinessAcceptsCreditCards': 'True', 'Restau...   \n",
       "192591  {'RestaurantsPriceRange2': '3', 'BusinessAccep...   \n",
       "192592  {'BusinessParking': '{'garage': False, 'street...   \n",
       "192593  {'OutdoorSeating': 'False', 'ByAppointmentOnly...   \n",
       "192594                                               None   \n",
       "192595  {'BikeParking': 'True', 'RestaurantsAttire': '...   \n",
       "192596  {'GoodForKids': 'True', 'WiFi': 'u'no'', 'Rest...   \n",
       "192597  {'BusinessAcceptsCreditCards': 'True', 'GoodFo...   \n",
       "192598  {'OutdoorSeating': 'True', 'WiFi': 'u'free'', ...   \n",
       "192599  {'BusinessAcceptsCreditCards': 'True', 'ByAppo...   \n",
       "192600                                               None   \n",
       "192601  {'BusinessAcceptsBitcoin': 'False', 'GoodForKi...   \n",
       "192602  {'RestaurantsPriceRange2': '2', 'BusinessParki...   \n",
       "192603  {'OutdoorSeating': 'True', 'BikeParking': 'Tru...   \n",
       "192604             {'BusinessAcceptsCreditCards': 'True'}   \n",
       "192605  {'RestaurantsPriceRange2': '2', 'BikeParking':...   \n",
       "192606  {'BusinessAcceptsCreditCards': 'True', 'ByAppo...   \n",
       "192607  {'RestaurantsPriceRange2': '1', 'BusinessAccep...   \n",
       "192608  {'BikeParking': 'False', 'RestaurantsPriceRang...   \n",
       "\n",
       "                   business_id  \\\n",
       "0       1SWheh84yJXfytovILXOAQ   \n",
       "1       QXAEGFB4oINsVuTFxEYKFQ   \n",
       "2       gnKjwL_1w79qoiV3IC_xQQ   \n",
       "3       xvX2CttrVhyG2z1dFg_0xw   \n",
       "4       HhyxOkGAM07SRYtlQ4wMFQ   \n",
       "5       68dUKd8_8liJ7in4aWOSEA   \n",
       "6       5JucpCfHZltJh5r1JabjDg   \n",
       "7       gbQN7vr_caG_A1ugSmGhWg   \n",
       "8       Y6iyemLX_oylRpnr38vgMA   \n",
       "9       4GBVPIYRvzGh4K4TkRQ_rw   \n",
       "10      fcXOEZdXYeZqnQ3lGlOXmg   \n",
       "11      1Dfx3zM-rW4n-31KeC8sJg   \n",
       "12      5t3KVdMnFgAYmSl1wYLhmA   \n",
       "13      fweCYi8FmbJXHCqLnwuk8w   \n",
       "14      -K4gAv8_vjx8-2BxkVeRkA   \n",
       "15      A98xW4qb7vOTguggHFs7Ng   \n",
       "16      giC3pVVFxCRR89rApqklyw   \n",
       "17      PZ-LZzSlhSe9utkQYU8pFg   \n",
       "18      nh_kQ16QAoXWwqZ05MPfBQ   \n",
       "19      zSpQmEBvRe3IhTUlMSA6HQ   \n",
       "20      dFMxzHygTy6F873843dHAA   \n",
       "21      lxnuq9wJiwLOPJ4uZU2ljg   \n",
       "22      KWywu2tTEPWmR9JnBc0WyQ   \n",
       "23      1RHY4K3BD22FK7Cfftn8Mg   \n",
       "24      BsMdebN4nZySpGTfXr-7yg   \n",
       "25      tstimHoMcYbkSC4eBA1wEg   \n",
       "26      C9oCPomVP0mtKa8z99E3gg   \n",
       "27      C9keC4mWuXdl2mYFHZXudQ   \n",
       "28      iojTeSaoPuxm4WeCzDUA6w   \n",
       "29      NDuUMJfrWk52RA-H-OtrpA   \n",
       "...                        ...   \n",
       "192579  I5aBfKQVRg0fOOrl62doYA   \n",
       "192580  SoPVLaoQlHuoZlt4fQBXTw   \n",
       "192581  iQbPJGBmxuYgLfW7niJ8lQ   \n",
       "192582  Pc0C3Pzf-DwEfJZrkCR3QA   \n",
       "192583  lo8WwqKogC-kz4toRvkdUQ   \n",
       "192584  XlRGtOjPuiEfZsKuo2fRdw   \n",
       "192585  3HAPJH0Qoi8Ix6M9rUMfjg   \n",
       "192586  6tOKoZX1Gj3Uzjc1-JzYNQ   \n",
       "192587  oS0CnUbyv0GUoD3L8_3UPQ   \n",
       "192588  1pcqM_Ptk9Ee-VmqE1qiBg   \n",
       "192589  ghovD5ZTGDQ5Q2U4ERddWw   \n",
       "192590  -VnsYKUddm8eUr4k_bYf0g   \n",
       "192591  h3pRrJ5tKgr5aAVonQSCGw   \n",
       "192592  12yF9Vz4vH5DXcSeiUt6zw   \n",
       "192593  2zFYcRgZjPGz_hqYgCCYVw   \n",
       "192594  NVSmNWDNYYZ82sdYID_9Tw   \n",
       "192595  h3QErqS3OZgLJ5Tb6-sLyQ   \n",
       "192596  KnafX7T6qSAmSrLhd709vA   \n",
       "192597  C7i3HJH0nMyo2K7ZwHToQg   \n",
       "192598  vIAEWbTJc657yN8I4z7whQ   \n",
       "192599  ABjONdA5Fw8XBOM65tmW4w   \n",
       "192600  ZidLd2a1uJCMfIhLylX5ww   \n",
       "192601  jJoPLIhCjkGXy59I4Jl6zw   \n",
       "192602  go-_xdHHSufchOeZ3kkC8w   \n",
       "192603  p1eUTUB_5hf1enoKYBV3DA   \n",
       "192604  nqb4kWcOwp8bFxzfvaDpZQ   \n",
       "192605  vY2nLU5K20Pee-FdG0br1g   \n",
       "192606  MiEyUDKTjeci5TMfxVZPpg   \n",
       "192607  zNMupayB2jEHVDOji8sxoQ   \n",
       "192608  c1f_VAX1KIK8-JoVhjbYOw   \n",
       "\n",
       "                                               categories                city  \\\n",
       "0                                       Golf, Active Life             Phoenix   \n",
       "1       Specialty Food, Restaurants, Dim Sum, Imported...         Mississauga   \n",
       "2                       Sushi Bars, Restaurants, Japanese           Charlotte   \n",
       "3                           Insurance, Financial Services            Goodyear   \n",
       "4       Plumbing, Shopping, Local Services, Home Servi...           Charlotte   \n",
       "5       Shipping Centers, Couriers & Delivery Services...         Mississauga   \n",
       "6                              Beauty & Spas, Hair Salons             Calgary   \n",
       "7       Hair Salons, Hair Stylists, Barbers, Men's Hai...           Las Vegas   \n",
       "8                    Nail Salons, Beauty & Spas, Day Spas            Glendale   \n",
       "9           Beauty & Spas, Nail Salons, Day Spas, Massage       Fairview Park   \n",
       "10      Local Services, Professional Services, Compute...             Calgary   \n",
       "11      Restaurants, Breakfast & Brunch, Mexican, Taco...             Phoenix   \n",
       "12      Bars, Nightlife, Pubs, Barbers, Beauty & Spas,...         Mooresville   \n",
       "13             Italian, Restaurants, Pizza, Chicken Wings  Mentor-on-the-Lake   \n",
       "14                                         Bakeries, Food          Willoughby   \n",
       "15               Fitness & Instruction, Active Life, Yoga       Richmond Hill   \n",
       "16      Hair Stylists, Beauty & Spas, Hair Salons, Men...          Scottsdale   \n",
       "17                                   Restaurants, Italian           Las Vegas   \n",
       "18      Event Planning & Services, Photographers, Prof...           Las Vegas   \n",
       "19      Trainers, Health & Medical, Active Life, Physi...             Toronto   \n",
       "20                          Arcades, Arts & Entertainment           Las Vegas   \n",
       "21                                Automotive, Car Dealers     North Las Vegas   \n",
       "22      Nightlife, Arts & Entertainment, Bars, Strip C...           Las Vegas   \n",
       "23      Sandwiches, Salad, Restaurants, Burgers, Comfo...          Pittsburgh   \n",
       "24      Women's Clothing, Shopping, Accessories, Fashi...           Las Vegas   \n",
       "25      Mexican, Restaurants, Patisserie/Cake Shop, Fo...           Las Vegas   \n",
       "26                                         Bakeries, Food             Toronto   \n",
       "27      Fashion, Sporting Goods, Men's Clothing, Shopp...             Toronto   \n",
       "28      Car Rental, Windshield Installation & Repair, ...           Las Vegas   \n",
       "29      Juice Bars & Smoothies, Food, Restaurants, Fas...             Toronto   \n",
       "...                                                   ...                 ...   \n",
       "192579  Shredding Services, Professional Services, Jun...                Mesa   \n",
       "192580                    Champagne Bars, Nightlife, Bars           Las Vegas   \n",
       "192581                         Home Services, Landscaping               Tempe   \n",
       "192582  Specialty Food, International Grocery, Ethnic ...         Scarborough   \n",
       "192583        Korean, Japanese, Asian Fusion, Restaurants             Toronto   \n",
       "192584                                               None           Las Vegas   \n",
       "192585                                Restaurants, Indian            Brampton   \n",
       "192586  Landscape Architects, Home Services, Gardeners...           Las Vegas   \n",
       "192587                                  Restaurants, Thai             Toronto   \n",
       "192588                    Chiropractors, Health & Medical          Pittsburgh   \n",
       "192589    Burgers, Restaurants, Fast Food, American (New)            Fairlawn   \n",
       "192590                         Nail Salons, Beauty & Spas        Huntersville   \n",
       "192591                Shopping, Women's Clothing, Fashion            Chandler   \n",
       "192592                         Nail Salons, Beauty & Spas             Toronto   \n",
       "192593  Hair Salons, Beauty & Spas, Nightlife, Dance C...            Montréal   \n",
       "192594  Electronics, Home Services, Professional Servi...                Stow   \n",
       "192595              Restaurants, Soup, Chinese, Caribbean           Pickering   \n",
       "192596                      Vietnamese, Soup, Restaurants            Montréal   \n",
       "192597  Chinese Martial Arts, Specialty Schools, Educa...           Henderson   \n",
       "192598                                 Food, Coffee & Tea           Las Vegas   \n",
       "192599  Plumbing, Water Heater Installation/Repair, Pr...             Gilbert   \n",
       "192600  Pet Training, Professional Services, Pet Servi...             Phoenix   \n",
       "192601  Golf, Hotels, Day Spas, Hotels & Travel, Event...             Phoenix   \n",
       "192602                         Food, Beer, Wine & Spirits  University Heights   \n",
       "192603                               Restaurants, Italian                Bath   \n",
       "192604  Water Purification Services, Water Heater Inst...     North Las Vegas   \n",
       "192605               Books, Mags, Music & Video, Shopping           Newmarket   \n",
       "192606  Home Services, Contractors, Landscaping, Mason...             Phoenix   \n",
       "192607                             Beauty & Spas, Barbers                Mesa   \n",
       "192608                             Massage, Beauty & Spas           Las Vegas   \n",
       "\n",
       "                                                    hours  is_open   latitude  \\\n",
       "0                                                    None        0  33.522143   \n",
       "1       {'Monday': '9:0-0:0', 'Tuesday': '9:0-0:0', 'W...        1  43.605499   \n",
       "2       {'Monday': '17:30-21:30', 'Wednesday': '17:30-...        1  35.092564   \n",
       "3       {'Monday': '8:0-17:0', 'Tuesday': '8:0-17:0', ...        1  33.455613   \n",
       "4       {'Monday': '7:0-23:0', 'Tuesday': '7:0-23:0', ...        1  35.190012   \n",
       "5       {'Monday': '9:0-19:0', 'Tuesday': '9:0-20:0', ...        1  43.599475   \n",
       "6                                                    None        1  50.943646   \n",
       "7       {'Monday': '10:0-19:0', 'Tuesday': '10:0-19:0'...        1  36.099872   \n",
       "8       {'Tuesday': '12:0-18:0', 'Wednesday': '10:0-18...        0  33.654815   \n",
       "9       {'Tuesday': '9:0-21:0', 'Wednesday': '9:0-21:0...        1  41.440825   \n",
       "10      {'Monday': '9:0-17:0', 'Tuesday': '9:0-17:0', ...        1  51.041771   \n",
       "11      {'Monday': '7:0-0:0', 'Tuesday': '7:0-0:0', 'W...        1  33.495194   \n",
       "12      {'Monday': '10:0-1:0', 'Tuesday': '10:0-1:0', ...        1  35.527410   \n",
       "13      {'Monday': '10:0-0:0', 'Tuesday': '10:0-0:0', ...        1  41.708520   \n",
       "14      {'Tuesday': '11:0-17:0', 'Wednesday': '11:0-17...        1  41.639860   \n",
       "15      {'Monday': '16:0-23:0', 'Tuesday': '16:0-23:0'...        1  43.861503   \n",
       "16      {'Monday': '0:0-0:0', 'Tuesday': '9:0-19:0', '...        1  33.600071   \n",
       "17                                                   None        0  36.100016   \n",
       "18      {'Monday': '0:0-0:0', 'Tuesday': '0:0-0:0', 'W...        1  36.116549   \n",
       "19      {'Monday': '6:0-22:0', 'Tuesday': '6:0-22:0', ...        1  43.645041   \n",
       "20      {'Monday': '11:0-0:0', 'Tuesday': '11:0-0:0', ...        1  36.169993   \n",
       "21      {'Monday': '9:0-18:0', 'Tuesday': '9:0-18:0', ...        1  36.225851   \n",
       "22      {'Thursday': '19:30-2:0', 'Friday': '19:30-3:0...        1  36.080168   \n",
       "23                                                   None        1  40.496177   \n",
       "24      {'Monday': '10:0-20:0', 'Tuesday': '10:0-20:0'...        1  36.271546   \n",
       "25      {'Monday': '11:0-21:0', 'Tuesday': '10:0-21:0'...        1  36.195615   \n",
       "26      {'Monday': '9:0-20:0', 'Tuesday': '9:0-20:0', ...        1  43.754093   \n",
       "27      {'Monday': '11:30-19:0', 'Tuesday': '11:30-19:...        1  43.670744   \n",
       "28      {'Monday': '0:0-0:0', 'Tuesday': '8:0-18:0', '...        1  36.129424   \n",
       "29      {'Monday': '8:0-21:0', 'Tuesday': '8:0-21:0', ...        1  43.642889   \n",
       "...                                                   ...      ...        ...   \n",
       "192579  {'Monday': '8:0-18:0', 'Tuesday': '8:0-18:0', ...        1  33.433003   \n",
       "192580                                               None        0  36.124220   \n",
       "192581  {'Monday': '5:0-19:0', 'Tuesday': '5:0-19:0', ...        1  33.389758   \n",
       "192582  {'Monday': '10:0-19:0', 'Tuesday': '10:0-19:0'...        1  43.790660   \n",
       "192583  {'Monday': '11:30-22:30', 'Tuesday': '11:30-22...        1  43.670948   \n",
       "192584                                               None        1  36.163000   \n",
       "192585  {'Monday': '11:30-22:0', 'Wednesday': '11:30-2...        1  43.775089   \n",
       "192586  {'Monday': '0:0-0:0', 'Tuesday': '7:0-14:0', '...        1  36.168824   \n",
       "192587  {'Monday': '0:0-0:0', 'Tuesday': '11:0-23:0', ...        1  43.665120   \n",
       "192588  {'Monday': '9:0-18:0', 'Tuesday': '9:0-18:0', ...        1  40.428768   \n",
       "192589  {'Monday': '11:0-22:0', 'Tuesday': '11:0-22:0'...        1  41.136561   \n",
       "192590  {'Monday': '9:30-19:0', 'Tuesday': '9:30-19:0'...        1  35.443506   \n",
       "192591                                               None        1  33.301470   \n",
       "192592  {'Monday': '0:0-0:0', 'Tuesday': '10:0-19:0', ...        1  43.703476   \n",
       "192593  {'Tuesday': '22:0-3:0', 'Wednesday': '22:0-3:0...        1  45.521538   \n",
       "192594  {'Monday': '10:0-20:0', 'Wednesday': '10:0-20:...        1  41.156952   \n",
       "192595  {'Monday': '11:0-21:30', 'Tuesday': '11:0-21:3...        1  43.841844   \n",
       "192596  {'Monday': '12:0-21:0', 'Tuesday': '12:0-21:0'...        1  45.517430   \n",
       "192597  {'Monday': '16:0-21:0', 'Tuesday': '16:0-21:0'...        1  35.989577   \n",
       "192598  {'Monday': '0:0-0:0', 'Tuesday': '0:0-0:0', 'W...        1  36.041407   \n",
       "192599  {'Monday': '7:0-17:0', 'Tuesday': '7:0-17:30',...        1  33.356540   \n",
       "192600  {'Monday': '8:0-19:30', 'Tuesday': '8:0-19:30'...        1  33.347160   \n",
       "192601  {'Monday': '0:0-0:0', 'Tuesday': '0:0-0:0', 'W...        1  33.683910   \n",
       "192602  {'Monday': '11:30-21:0', 'Tuesday': '9:0-21:0'...        0  41.500621   \n",
       "192603  {'Monday': '0:0-0:0', 'Tuesday': '17:0-22:0', ...        1  41.187547   \n",
       "192604  {'Monday': '0:0-0:0', 'Tuesday': '0:0-0:0', 'W...        1  36.213732   \n",
       "192605                                               None        1  44.052658   \n",
       "192606  {'Monday': '7:0-15:0', 'Tuesday': '7:0-15:0', ...        1  33.679992   \n",
       "192607  {'Tuesday': '8:30-17:30', 'Wednesday': '8:30-1...        1  33.416137   \n",
       "192608  {'Monday': '10:0-0:0', 'Tuesday': '10:0-0:0', ...        0  36.107267   \n",
       "\n",
       "         longitude                                           name postal_code  \\\n",
       "0      -112.018481                     Arizona Biltmore Golf Club       85016   \n",
       "1       -79.652289                     Emerald Chinese Restaurant     L5R 3E7   \n",
       "2       -80.859132                    Musashi Japanese Restaurant       28210   \n",
       "3      -112.395596                Farmers Insurance - Paul Lorenz       85338   \n",
       "4       -80.887223                            Queen City Plumbing       28217   \n",
       "5       -79.711584                                  The UPS Store     L5V 0B1   \n",
       "6      -114.001828                               Edgeworxx Studio     T2Z 1K4   \n",
       "7      -115.074574                                      Supercuts       89121   \n",
       "8      -112.188568                        Vita Bella Fine Day Spa       85308   \n",
       "9       -81.854097                            Options Salon & Spa       44126   \n",
       "10     -114.081109                    Nucleus Information Service     T2R 1L3   \n",
       "11     -112.028588                                      Taco Bell       85016   \n",
       "12      -80.868003                    The Kilted Buffalo Langtree       28117   \n",
       "13      -81.359556                                  Marco's Pizza       44060   \n",
       "14      -81.406396                                     Baby Cakes       44094   \n",
       "15      -79.388499                              Hot Yoga Wellness     L4B 3G6   \n",
       "16     -111.977371                                     Knot Salon       85254   \n",
       "17     -115.128529                     Carluccio's Tivoli Gardens       89119   \n",
       "18     -115.088115                       Myron Hensel Photography       89121   \n",
       "19      -79.395799                             Totum Life Science     M5V 1K4   \n",
       "20     -115.140685                                 Fremont Arcade       89101   \n",
       "21     -115.132800                            Las Vegas Motorcars       89032   \n",
       "22     -115.182756                                   Hunk Mansion       89118   \n",
       "23      -80.246011                                 Marathon Diner       15231   \n",
       "24     -115.264484                                       Maurices       89149   \n",
       "25     -115.040529            Maria's Mexican Restaurant & Bakery       89156   \n",
       "26      -79.349548                                  Bakery Gateau     M3B 1Y6   \n",
       "27      -79.391385                            Uncle Otis Clothing     M5R 2C7   \n",
       "28     -115.184443                                   AW Collision       89102   \n",
       "29      -79.425429                                 Bolt Fresh Bar     M6J 1J5   \n",
       "...            ...                                            ...         ...   \n",
       "192579 -111.759078                   Cutters Document Destruction       85213   \n",
       "192580 -115.168602                           Laguna Champagne Bar       89109   \n",
       "192581 -111.934364                      Adrian Torres Landscaping       85282   \n",
       "192582  -79.254010                        Mercator Euro Mini Mart     M1R 5B3   \n",
       "192583  -79.391502                                KOKO! Share Bar     M5R 1C1   \n",
       "192584 -115.332709                      Costco Hearing Aid Center       89101   \n",
       "192585  -79.653807                                    Indian Hero     L6P 3A3   \n",
       "192586 -115.218557                  Premier Landscape Maintenance       89107   \n",
       "192587  -79.384809                                   Thai Fantasy     M4Y 1Z3   \n",
       "192588  -79.977941                    Ploucha Chiropractic Center       15203   \n",
       "192589  -81.639712                                      Five Guys       44333   \n",
       "192590  -80.886257                                     In 2 Nails       28078   \n",
       "192591 -111.898406                       White House Black Market       85226   \n",
       "192592  -79.414548                                      LTS Nails         M5N   \n",
       "192593  -73.585241                                    Salon Daome     H2T 1N9   \n",
       "192594  -81.410898                                        Verizon       44224   \n",
       "192595  -79.083881                                       Asia Hut     L1V 1C1   \n",
       "192596  -73.558873                                Pho Maisonneuve     H2L 1Z1   \n",
       "192597 -115.101495                      Las Vegas Kung Fu Academy       89052   \n",
       "192598 -115.171698                                      Starbucks       89123   \n",
       "192599 -111.789367                        Phend Plumbing & Rooter       85234   \n",
       "192600 -111.975380                                    Team Canine       85076   \n",
       "192601 -111.966235  JW Marriott Phoenix Desert Ridge Resort & Spa       85054   \n",
       "192602  -81.518241                      Cedar Green Wine & Cheese       44121   \n",
       "192603  -81.635791                        Ken Stewart's Tre Belle       44210   \n",
       "192604 -115.177059                             Sanderson Plumbing       89032   \n",
       "192605  -79.481850                                       Chapters     L3Y 6Y9   \n",
       "192606 -112.035569                                 Phoenix Pavers       85024   \n",
       "192607 -111.735743                          Beasley's Barber Shop       85205   \n",
       "192608 -115.171920                                 Oriental Relax       89109   \n",
       "\n",
       "        review_count  stars state  \n",
       "0                  5    3.0    AZ  \n",
       "1                128    2.5    ON  \n",
       "2                170    4.0    NC  \n",
       "3                  3    5.0    AZ  \n",
       "4                  4    4.0    NC  \n",
       "5                  3    2.5    ON  \n",
       "6                  7    3.5    AB  \n",
       "7                  3    3.5    NV  \n",
       "8                  8    5.0    AZ  \n",
       "9                  8    4.5    OH  \n",
       "10                 5    2.0    AB  \n",
       "11                18    3.0    AZ  \n",
       "12                 9    3.5    NC  \n",
       "13                16    4.0    OH  \n",
       "14                 7    3.0    OH  \n",
       "15                 4    4.0    ON  \n",
       "16                 5    5.0    AZ  \n",
       "17                40    4.0    NV  \n",
       "18                21    5.0    NV  \n",
       "19                23    4.0    ON  \n",
       "20                38    4.5    NV  \n",
       "21                 3    3.5    NV  \n",
       "22               107    4.0    NV  \n",
       "23                35    4.0    PA  \n",
       "24                 4    5.0    NV  \n",
       "25               184    4.5    NV  \n",
       "26                 8    4.5    ON  \n",
       "27                12    5.0    ON  \n",
       "28                52    4.5    NV  \n",
       "29                57    3.0    ON  \n",
       "...              ...    ...   ...  \n",
       "192579             3    4.5    AZ  \n",
       "192580            48    3.0    NV  \n",
       "192581            20    4.0    AZ  \n",
       "192582             6    3.5    ON  \n",
       "192583            47    3.5    ON  \n",
       "192584             3    5.0    NV  \n",
       "192585            39    3.0    ON  \n",
       "192586             3    1.0    NV  \n",
       "192587           113    4.0    ON  \n",
       "192588             5    5.0    PA  \n",
       "192589            22    4.0    OH  \n",
       "192590            32    3.5    NC  \n",
       "192591             4    3.0    AZ  \n",
       "192592            12    4.5    ON  \n",
       "192593            15    3.5    QC  \n",
       "192594             3    1.0    OH  \n",
       "192595             4    4.5    ON  \n",
       "192596            25    4.0    QC  \n",
       "192597            15    4.5    NV  \n",
       "192598           138    3.0    NV  \n",
       "192599            47    5.0    AZ  \n",
       "192600            19    4.5    AZ  \n",
       "192601           441    4.0    AZ  \n",
       "192602            12    3.0    OH  \n",
       "192603            39    3.5    OH  \n",
       "192604             9    5.0    NV  \n",
       "192605             3    4.5    ON  \n",
       "192606            14    4.5    AZ  \n",
       "192607            15    4.5    AZ  \n",
       "192608             3    4.0    NV  \n",
       "\n",
       "[192609 rows x 14 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_json('business.json', lines = True)\n",
    "df\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The file that has been read in contains columns that we do not necessarily need to perform our analysis, such as: address, attributes, business_id, hours, is_open, latitude, longitude, name, state. We will drop these columns as the first part of our data cleaning."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
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       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>categories</th>\n",
       "      <th>city</th>\n",
       "      <th>postal_code</th>\n",
       "      <th>review_count</th>\n",
       "      <th>stars</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Golf, Active Life</td>\n",
       "      <td>Phoenix</td>\n",
       "      <td>85016</td>\n",
       "      <td>5</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Specialty Food, Restaurants, Dim Sum, Imported...</td>\n",
       "      <td>Mississauga</td>\n",
       "      <td>L5R 3E7</td>\n",
       "      <td>128</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Sushi Bars, Restaurants, Japanese</td>\n",
       "      <td>Charlotte</td>\n",
       "      <td>28210</td>\n",
       "      <td>170</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Insurance, Financial Services</td>\n",
       "      <td>Goodyear</td>\n",
       "      <td>85338</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Plumbing, Shopping, Local Services, Home Servi...</td>\n",
       "      <td>Charlotte</td>\n",
       "      <td>28217</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Shipping Centers, Couriers &amp; Delivery Services...</td>\n",
       "      <td>Mississauga</td>\n",
       "      <td>L5V 0B1</td>\n",
       "      <td>3</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Beauty &amp; Spas, Hair Salons</td>\n",
       "      <td>Calgary</td>\n",
       "      <td>T2Z 1K4</td>\n",
       "      <td>7</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Hair Salons, Hair Stylists, Barbers, Men's Hai...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89121</td>\n",
       "      <td>3</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Nail Salons, Beauty &amp; Spas, Day Spas</td>\n",
       "      <td>Glendale</td>\n",
       "      <td>85308</td>\n",
       "      <td>8</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Beauty &amp; Spas, Nail Salons, Day Spas, Massage</td>\n",
       "      <td>Fairview Park</td>\n",
       "      <td>44126</td>\n",
       "      <td>8</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Local Services, Professional Services, Compute...</td>\n",
       "      <td>Calgary</td>\n",
       "      <td>T2R 1L3</td>\n",
       "      <td>5</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Restaurants, Breakfast &amp; Brunch, Mexican, Taco...</td>\n",
       "      <td>Phoenix</td>\n",
       "      <td>85016</td>\n",
       "      <td>18</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Bars, Nightlife, Pubs, Barbers, Beauty &amp; Spas,...</td>\n",
       "      <td>Mooresville</td>\n",
       "      <td>28117</td>\n",
       "      <td>9</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Italian, Restaurants, Pizza, Chicken Wings</td>\n",
       "      <td>Mentor-on-the-Lake</td>\n",
       "      <td>44060</td>\n",
       "      <td>16</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Bakeries, Food</td>\n",
       "      <td>Willoughby</td>\n",
       "      <td>44094</td>\n",
       "      <td>7</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Fitness &amp; Instruction, Active Life, Yoga</td>\n",
       "      <td>Richmond Hill</td>\n",
       "      <td>L4B 3G6</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Hair Stylists, Beauty &amp; Spas, Hair Salons, Men...</td>\n",
       "      <td>Scottsdale</td>\n",
       "      <td>85254</td>\n",
       "      <td>5</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Restaurants, Italian</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89119</td>\n",
       "      <td>40</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Event Planning &amp; Services, Photographers, Prof...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89121</td>\n",
       "      <td>21</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Trainers, Health &amp; Medical, Active Life, Physi...</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>M5V 1K4</td>\n",
       "      <td>23</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Arcades, Arts &amp; Entertainment</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89101</td>\n",
       "      <td>38</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Automotive, Car Dealers</td>\n",
       "      <td>North Las Vegas</td>\n",
       "      <td>89032</td>\n",
       "      <td>3</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Nightlife, Arts &amp; Entertainment, Bars, Strip C...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89118</td>\n",
       "      <td>107</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Sandwiches, Salad, Restaurants, Burgers, Comfo...</td>\n",
       "      <td>Pittsburgh</td>\n",
       "      <td>15231</td>\n",
       "      <td>35</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Women's Clothing, Shopping, Accessories, Fashi...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89149</td>\n",
       "      <td>4</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Mexican, Restaurants, Patisserie/Cake Shop, Fo...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89156</td>\n",
       "      <td>184</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Bakeries, Food</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>M3B 1Y6</td>\n",
       "      <td>8</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Fashion, Sporting Goods, Men's Clothing, Shopp...</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>M5R 2C7</td>\n",
       "      <td>12</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Car Rental, Windshield Installation &amp; Repair, ...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89102</td>\n",
       "      <td>52</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Juice Bars &amp; Smoothies, Food, Restaurants, Fas...</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>M6J 1J5</td>\n",
       "      <td>57</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192579</th>\n",
       "      <td>Shredding Services, Professional Services, Jun...</td>\n",
       "      <td>Mesa</td>\n",
       "      <td>85213</td>\n",
       "      <td>3</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192580</th>\n",
       "      <td>Champagne Bars, Nightlife, Bars</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89109</td>\n",
       "      <td>48</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192581</th>\n",
       "      <td>Home Services, Landscaping</td>\n",
       "      <td>Tempe</td>\n",
       "      <td>85282</td>\n",
       "      <td>20</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192582</th>\n",
       "      <td>Specialty Food, International Grocery, Ethnic ...</td>\n",
       "      <td>Scarborough</td>\n",
       "      <td>M1R 5B3</td>\n",
       "      <td>6</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192583</th>\n",
       "      <td>Korean, Japanese, Asian Fusion, Restaurants</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>M5R 1C1</td>\n",
       "      <td>47</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192584</th>\n",
       "      <td>None</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89101</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192585</th>\n",
       "      <td>Restaurants, Indian</td>\n",
       "      <td>Brampton</td>\n",
       "      <td>L6P 3A3</td>\n",
       "      <td>39</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192586</th>\n",
       "      <td>Landscape Architects, Home Services, Gardeners...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89107</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192587</th>\n",
       "      <td>Restaurants, Thai</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>M4Y 1Z3</td>\n",
       "      <td>113</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192588</th>\n",
       "      <td>Chiropractors, Health &amp; Medical</td>\n",
       "      <td>Pittsburgh</td>\n",
       "      <td>15203</td>\n",
       "      <td>5</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192589</th>\n",
       "      <td>Burgers, Restaurants, Fast Food, American (New)</td>\n",
       "      <td>Fairlawn</td>\n",
       "      <td>44333</td>\n",
       "      <td>22</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192590</th>\n",
       "      <td>Nail Salons, Beauty &amp; Spas</td>\n",
       "      <td>Huntersville</td>\n",
       "      <td>28078</td>\n",
       "      <td>32</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192591</th>\n",
       "      <td>Shopping, Women's Clothing, Fashion</td>\n",
       "      <td>Chandler</td>\n",
       "      <td>85226</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192592</th>\n",
       "      <td>Nail Salons, Beauty &amp; Spas</td>\n",
       "      <td>Toronto</td>\n",
       "      <td>M5N</td>\n",
       "      <td>12</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192593</th>\n",
       "      <td>Hair Salons, Beauty &amp; Spas, Nightlife, Dance C...</td>\n",
       "      <td>Montréal</td>\n",
       "      <td>H2T 1N9</td>\n",
       "      <td>15</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192594</th>\n",
       "      <td>Electronics, Home Services, Professional Servi...</td>\n",
       "      <td>Stow</td>\n",
       "      <td>44224</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192595</th>\n",
       "      <td>Restaurants, Soup, Chinese, Caribbean</td>\n",
       "      <td>Pickering</td>\n",
       "      <td>L1V 1C1</td>\n",
       "      <td>4</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192596</th>\n",
       "      <td>Vietnamese, Soup, Restaurants</td>\n",
       "      <td>Montréal</td>\n",
       "      <td>H2L 1Z1</td>\n",
       "      <td>25</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192597</th>\n",
       "      <td>Chinese Martial Arts, Specialty Schools, Educa...</td>\n",
       "      <td>Henderson</td>\n",
       "      <td>89052</td>\n",
       "      <td>15</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192598</th>\n",
       "      <td>Food, Coffee &amp; Tea</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89123</td>\n",
       "      <td>138</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192599</th>\n",
       "      <td>Plumbing, Water Heater Installation/Repair, Pr...</td>\n",
       "      <td>Gilbert</td>\n",
       "      <td>85234</td>\n",
       "      <td>47</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192600</th>\n",
       "      <td>Pet Training, Professional Services, Pet Servi...</td>\n",
       "      <td>Phoenix</td>\n",
       "      <td>85076</td>\n",
       "      <td>19</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192601</th>\n",
       "      <td>Golf, Hotels, Day Spas, Hotels &amp; Travel, Event...</td>\n",
       "      <td>Phoenix</td>\n",
       "      <td>85054</td>\n",
       "      <td>441</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192602</th>\n",
       "      <td>Food, Beer, Wine &amp; Spirits</td>\n",
       "      <td>University Heights</td>\n",
       "      <td>44121</td>\n",
       "      <td>12</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192603</th>\n",
       "      <td>Restaurants, Italian</td>\n",
       "      <td>Bath</td>\n",
       "      <td>44210</td>\n",
       "      <td>39</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192604</th>\n",
       "      <td>Water Purification Services, Water Heater Inst...</td>\n",
       "      <td>North Las Vegas</td>\n",
       "      <td>89032</td>\n",
       "      <td>9</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192605</th>\n",
       "      <td>Books, Mags, Music &amp; Video, Shopping</td>\n",
       "      <td>Newmarket</td>\n",
       "      <td>L3Y 6Y9</td>\n",
       "      <td>3</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192606</th>\n",
       "      <td>Home Services, Contractors, Landscaping, Mason...</td>\n",
       "      <td>Phoenix</td>\n",
       "      <td>85024</td>\n",
       "      <td>14</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192607</th>\n",
       "      <td>Beauty &amp; Spas, Barbers</td>\n",
       "      <td>Mesa</td>\n",
       "      <td>85205</td>\n",
       "      <td>15</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192608</th>\n",
       "      <td>Massage, Beauty &amp; Spas</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89109</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>192609 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               categories                city  \\\n",
       "0                                       Golf, Active Life             Phoenix   \n",
       "1       Specialty Food, Restaurants, Dim Sum, Imported...         Mississauga   \n",
       "2                       Sushi Bars, Restaurants, Japanese           Charlotte   \n",
       "3                           Insurance, Financial Services            Goodyear   \n",
       "4       Plumbing, Shopping, Local Services, Home Servi...           Charlotte   \n",
       "5       Shipping Centers, Couriers & Delivery Services...         Mississauga   \n",
       "6                              Beauty & Spas, Hair Salons             Calgary   \n",
       "7       Hair Salons, Hair Stylists, Barbers, Men's Hai...           Las Vegas   \n",
       "8                    Nail Salons, Beauty & Spas, Day Spas            Glendale   \n",
       "9           Beauty & Spas, Nail Salons, Day Spas, Massage       Fairview Park   \n",
       "10      Local Services, Professional Services, Compute...             Calgary   \n",
       "11      Restaurants, Breakfast & Brunch, Mexican, Taco...             Phoenix   \n",
       "12      Bars, Nightlife, Pubs, Barbers, Beauty & Spas,...         Mooresville   \n",
       "13             Italian, Restaurants, Pizza, Chicken Wings  Mentor-on-the-Lake   \n",
       "14                                         Bakeries, Food          Willoughby   \n",
       "15               Fitness & Instruction, Active Life, Yoga       Richmond Hill   \n",
       "16      Hair Stylists, Beauty & Spas, Hair Salons, Men...          Scottsdale   \n",
       "17                                   Restaurants, Italian           Las Vegas   \n",
       "18      Event Planning & Services, Photographers, Prof...           Las Vegas   \n",
       "19      Trainers, Health & Medical, Active Life, Physi...             Toronto   \n",
       "20                          Arcades, Arts & Entertainment           Las Vegas   \n",
       "21                                Automotive, Car Dealers     North Las Vegas   \n",
       "22      Nightlife, Arts & Entertainment, Bars, Strip C...           Las Vegas   \n",
       "23      Sandwiches, Salad, Restaurants, Burgers, Comfo...          Pittsburgh   \n",
       "24      Women's Clothing, Shopping, Accessories, Fashi...           Las Vegas   \n",
       "25      Mexican, Restaurants, Patisserie/Cake Shop, Fo...           Las Vegas   \n",
       "26                                         Bakeries, Food             Toronto   \n",
       "27      Fashion, Sporting Goods, Men's Clothing, Shopp...             Toronto   \n",
       "28      Car Rental, Windshield Installation & Repair, ...           Las Vegas   \n",
       "29      Juice Bars & Smoothies, Food, Restaurants, Fas...             Toronto   \n",
       "...                                                   ...                 ...   \n",
       "192579  Shredding Services, Professional Services, Jun...                Mesa   \n",
       "192580                    Champagne Bars, Nightlife, Bars           Las Vegas   \n",
       "192581                         Home Services, Landscaping               Tempe   \n",
       "192582  Specialty Food, International Grocery, Ethnic ...         Scarborough   \n",
       "192583        Korean, Japanese, Asian Fusion, Restaurants             Toronto   \n",
       "192584                                               None           Las Vegas   \n",
       "192585                                Restaurants, Indian            Brampton   \n",
       "192586  Landscape Architects, Home Services, Gardeners...           Las Vegas   \n",
       "192587                                  Restaurants, Thai             Toronto   \n",
       "192588                    Chiropractors, Health & Medical          Pittsburgh   \n",
       "192589    Burgers, Restaurants, Fast Food, American (New)            Fairlawn   \n",
       "192590                         Nail Salons, Beauty & Spas        Huntersville   \n",
       "192591                Shopping, Women's Clothing, Fashion            Chandler   \n",
       "192592                         Nail Salons, Beauty & Spas             Toronto   \n",
       "192593  Hair Salons, Beauty & Spas, Nightlife, Dance C...            Montréal   \n",
       "192594  Electronics, Home Services, Professional Servi...                Stow   \n",
       "192595              Restaurants, Soup, Chinese, Caribbean           Pickering   \n",
       "192596                      Vietnamese, Soup, Restaurants            Montréal   \n",
       "192597  Chinese Martial Arts, Specialty Schools, Educa...           Henderson   \n",
       "192598                                 Food, Coffee & Tea           Las Vegas   \n",
       "192599  Plumbing, Water Heater Installation/Repair, Pr...             Gilbert   \n",
       "192600  Pet Training, Professional Services, Pet Servi...             Phoenix   \n",
       "192601  Golf, Hotels, Day Spas, Hotels & Travel, Event...             Phoenix   \n",
       "192602                         Food, Beer, Wine & Spirits  University Heights   \n",
       "192603                               Restaurants, Italian                Bath   \n",
       "192604  Water Purification Services, Water Heater Inst...     North Las Vegas   \n",
       "192605               Books, Mags, Music & Video, Shopping           Newmarket   \n",
       "192606  Home Services, Contractors, Landscaping, Mason...             Phoenix   \n",
       "192607                             Beauty & Spas, Barbers                Mesa   \n",
       "192608                             Massage, Beauty & Spas           Las Vegas   \n",
       "\n",
       "       postal_code  review_count  stars  \n",
       "0            85016             5    3.0  \n",
       "1          L5R 3E7           128    2.5  \n",
       "2            28210           170    4.0  \n",
       "3            85338             3    5.0  \n",
       "4            28217             4    4.0  \n",
       "5          L5V 0B1             3    2.5  \n",
       "6          T2Z 1K4             7    3.5  \n",
       "7            89121             3    3.5  \n",
       "8            85308             8    5.0  \n",
       "9            44126             8    4.5  \n",
       "10         T2R 1L3             5    2.0  \n",
       "11           85016            18    3.0  \n",
       "12           28117             9    3.5  \n",
       "13           44060            16    4.0  \n",
       "14           44094             7    3.0  \n",
       "15         L4B 3G6             4    4.0  \n",
       "16           85254             5    5.0  \n",
       "17           89119            40    4.0  \n",
       "18           89121            21    5.0  \n",
       "19         M5V 1K4            23    4.0  \n",
       "20           89101            38    4.5  \n",
       "21           89032             3    3.5  \n",
       "22           89118           107    4.0  \n",
       "23           15231            35    4.0  \n",
       "24           89149             4    5.0  \n",
       "25           89156           184    4.5  \n",
       "26         M3B 1Y6             8    4.5  \n",
       "27         M5R 2C7            12    5.0  \n",
       "28           89102            52    4.5  \n",
       "29         M6J 1J5            57    3.0  \n",
       "...            ...           ...    ...  \n",
       "192579       85213             3    4.5  \n",
       "192580       89109            48    3.0  \n",
       "192581       85282            20    4.0  \n",
       "192582     M1R 5B3             6    3.5  \n",
       "192583     M5R 1C1            47    3.5  \n",
       "192584       89101             3    5.0  \n",
       "192585     L6P 3A3            39    3.0  \n",
       "192586       89107             3    1.0  \n",
       "192587     M4Y 1Z3           113    4.0  \n",
       "192588       15203             5    5.0  \n",
       "192589       44333            22    4.0  \n",
       "192590       28078            32    3.5  \n",
       "192591       85226             4    3.0  \n",
       "192592         M5N            12    4.5  \n",
       "192593     H2T 1N9            15    3.5  \n",
       "192594       44224             3    1.0  \n",
       "192595     L1V 1C1             4    4.5  \n",
       "192596     H2L 1Z1            25    4.0  \n",
       "192597       89052            15    4.5  \n",
       "192598       89123           138    3.0  \n",
       "192599       85234            47    5.0  \n",
       "192600       85076            19    4.5  \n",
       "192601       85054           441    4.0  \n",
       "192602       44121            12    3.0  \n",
       "192603       44210            39    3.5  \n",
       "192604       89032             9    5.0  \n",
       "192605     L3Y 6Y9             3    4.5  \n",
       "192606       85024            14    4.5  \n",
       "192607       85205            15    4.5  \n",
       "192608       89109             3    4.0  \n",
       "\n",
       "[192609 rows x 5 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_clean = df.drop(['address', 'business_id', 'latitude', 'longitude', 'state', 'hours', 'is_open', 'attributes', 'name'], axis = 1)\n",
    "df_clean\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have dropped these columns, we want to get the data of businesses that are only in Las Vegas, so select only the businesses with the “city” column listed as “Las Vegas”."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>categories</th>\n",
       "      <th>city</th>\n",
       "      <th>postal_code</th>\n",
       "      <th>review_count</th>\n",
       "      <th>stars</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Hair Salons, Hair Stylists, Barbers, Men's Hai...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89121</td>\n",
       "      <td>3</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Restaurants, Italian</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89119</td>\n",
       "      <td>40</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Event Planning &amp; Services, Photographers, Prof...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89121</td>\n",
       "      <td>21</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Arcades, Arts &amp; Entertainment</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89101</td>\n",
       "      <td>38</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Nightlife, Arts &amp; Entertainment, Bars, Strip C...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89118</td>\n",
       "      <td>107</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Women's Clothing, Shopping, Accessories, Fashi...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89149</td>\n",
       "      <td>4</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Mexican, Restaurants, Patisserie/Cake Shop, Fo...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89156</td>\n",
       "      <td>184</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Car Rental, Windshield Installation &amp; Repair, ...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89102</td>\n",
       "      <td>52</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Shopping, Home &amp; Garden, Department Stores, Me...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89117</td>\n",
       "      <td>38</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Home Services, Real Estate, Financial Services...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89108</td>\n",
       "      <td>19</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Real Estate, Home Services, Mortgage Brokers, ...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89118</td>\n",
       "      <td>6</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Home Services, Real Estate, Apartments</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89102</td>\n",
       "      <td>5</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Local Services, Food Banks, Community Service/...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89115</td>\n",
       "      <td>44</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Financial Services, Banks &amp; Credit Unions</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89148</td>\n",
       "      <td>27</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Shopping, Women's Clothing, Fashion</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89109</td>\n",
       "      <td>5</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Tree Services, Landscape Architects, Home Serv...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89156</td>\n",
       "      <td>9</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Hair Loss Centers, Beauty &amp; Spas, Hair Stylist...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89117</td>\n",
       "      <td>8</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Fast Food, Food, Restaurants, Ice Cream &amp; Froz...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89146</td>\n",
       "      <td>33</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Automotive, Auto Repair, Tires</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89115</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Accessories, Shopping, Fashion, Jewelry, Leath...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89109</td>\n",
       "      <td>21</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Hair Stylists, Makeup Artists, Hair Salons, Pe...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89120</td>\n",
       "      <td>8</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Property Management, Home Services, Real Estate</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89119</td>\n",
       "      <td>26</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Beauty &amp; Spas, Hair Salons</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89149</td>\n",
       "      <td>116</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Food, Donuts</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89121</td>\n",
       "      <td>6</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Doctors, Family Practice, Health &amp; Medical</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89148</td>\n",
       "      <td>9</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>Cosmetics &amp; Beauty Supply, Hair Stylists, Beau...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89109</td>\n",
       "      <td>38</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>Restaurants, Chinese</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89030</td>\n",
       "      <td>4</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>Graphic Design, Printing Services, Web Design,...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89119</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>Food, Coffee &amp; Tea</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89134</td>\n",
       "      <td>76</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>Security Systems, Home Services</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89118</td>\n",
       "      <td>18</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192424</th>\n",
       "      <td>Home Services, Apartments, Real Estate, Proper...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89145</td>\n",
       "      <td>17</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192425</th>\n",
       "      <td>Pet Groomers, Pet Services, Pets</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89123</td>\n",
       "      <td>24</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192426</th>\n",
       "      <td>Home Services, Heating &amp; Air Conditioning/HVAC</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89110</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192435</th>\n",
       "      <td>Condominiums, Real Estate, Home Services, Apar...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89169</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192442</th>\n",
       "      <td>Active Life, Parks</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89134</td>\n",
       "      <td>7</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192444</th>\n",
       "      <td>Food, Bakeries, Desserts, Breakfast &amp; Brunch, ...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89147</td>\n",
       "      <td>464</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192448</th>\n",
       "      <td>Active Life, Child Care &amp; Day Care, Local Serv...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89117</td>\n",
       "      <td>203</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192453</th>\n",
       "      <td>Doctors, Oral Surgeons, Health &amp; Medical, Dent...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89147</td>\n",
       "      <td>59</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192456</th>\n",
       "      <td>Mediterranean, Caterers, Event Planning &amp; Serv...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89149</td>\n",
       "      <td>572</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192457</th>\n",
       "      <td>Computers, Security Systems, Shopping, Home Se...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89120</td>\n",
       "      <td>55</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192458</th>\n",
       "      <td>Sandwiches, Pizza, Chicken Wings, Italian, Res...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89102</td>\n",
       "      <td>576</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192464</th>\n",
       "      <td>Arts &amp; Entertainment, Comedy Clubs, Adult Ente...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89109</td>\n",
       "      <td>74</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192467</th>\n",
       "      <td>Local Services, Fashion, Shopping, Community S...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89123</td>\n",
       "      <td>45</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192470</th>\n",
       "      <td>Professional Services, Lawyers, Traffic Ticket...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89104</td>\n",
       "      <td>5</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192472</th>\n",
       "      <td>Coffee &amp; Tea, Food</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89109</td>\n",
       "      <td>7</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192475</th>\n",
       "      <td>Sandwiches, Cafes, Pizza, Vegetarian, Gluten-F...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89123</td>\n",
       "      <td>704</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192500</th>\n",
       "      <td>Doctors, Chiropractors, Health &amp; Medical</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89146</td>\n",
       "      <td>6</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192505</th>\n",
       "      <td>Pediatric Dentists, Dentists, Orthodontists, G...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89119</td>\n",
       "      <td>32</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192507</th>\n",
       "      <td>Restaurants, Pizza</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89149</td>\n",
       "      <td>24</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192517</th>\n",
       "      <td>Restaurants, Fast Food</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89106</td>\n",
       "      <td>5</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192544</th>\n",
       "      <td>Professional Services, Personal Injury Law, La...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89146</td>\n",
       "      <td>6</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192562</th>\n",
       "      <td>Farmers Market, Caterers, Food, Street Vendors...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89118</td>\n",
       "      <td>595</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192573</th>\n",
       "      <td>Event Planning &amp; Services, Party Supplies, Who...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89123</td>\n",
       "      <td>15</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192574</th>\n",
       "      <td>Medical Spas, Hair Removal, Health &amp; Medical, ...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89148</td>\n",
       "      <td>12</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192577</th>\n",
       "      <td>Local Services, Education, Elementary Schools,...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89117</td>\n",
       "      <td>7</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192580</th>\n",
       "      <td>Champagne Bars, Nightlife, Bars</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89109</td>\n",
       "      <td>48</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192584</th>\n",
       "      <td>None</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89101</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192586</th>\n",
       "      <td>Landscape Architects, Home Services, Gardeners...</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89107</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192598</th>\n",
       "      <td>Food, Coffee &amp; Tea</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89123</td>\n",
       "      <td>138</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192608</th>\n",
       "      <td>Massage, Beauty &amp; Spas</td>\n",
       "      <td>Las Vegas</td>\n",
       "      <td>89109</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>29370 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               categories       city  \\\n",
       "7       Hair Salons, Hair Stylists, Barbers, Men's Hai...  Las Vegas   \n",
       "17                                   Restaurants, Italian  Las Vegas   \n",
       "18      Event Planning & Services, Photographers, Prof...  Las Vegas   \n",
       "20                          Arcades, Arts & Entertainment  Las Vegas   \n",
       "22      Nightlife, Arts & Entertainment, Bars, Strip C...  Las Vegas   \n",
       "24      Women's Clothing, Shopping, Accessories, Fashi...  Las Vegas   \n",
       "25      Mexican, Restaurants, Patisserie/Cake Shop, Fo...  Las Vegas   \n",
       "28      Car Rental, Windshield Installation & Repair, ...  Las Vegas   \n",
       "30      Shopping, Home & Garden, Department Stores, Me...  Las Vegas   \n",
       "34      Home Services, Real Estate, Financial Services...  Las Vegas   \n",
       "41      Real Estate, Home Services, Mortgage Brokers, ...  Las Vegas   \n",
       "42                 Home Services, Real Estate, Apartments  Las Vegas   \n",
       "43      Local Services, Food Banks, Community Service/...  Las Vegas   \n",
       "64              Financial Services, Banks & Credit Unions  Las Vegas   \n",
       "67                    Shopping, Women's Clothing, Fashion  Las Vegas   \n",
       "69      Tree Services, Landscape Architects, Home Serv...  Las Vegas   \n",
       "70      Hair Loss Centers, Beauty & Spas, Hair Stylist...  Las Vegas   \n",
       "75      Fast Food, Food, Restaurants, Ice Cream & Froz...  Las Vegas   \n",
       "86                         Automotive, Auto Repair, Tires  Las Vegas   \n",
       "93      Accessories, Shopping, Fashion, Jewelry, Leath...  Las Vegas   \n",
       "98      Hair Stylists, Makeup Artists, Hair Salons, Pe...  Las Vegas   \n",
       "99        Property Management, Home Services, Real Estate  Las Vegas   \n",
       "100                            Beauty & Spas, Hair Salons  Las Vegas   \n",
       "101                                          Food, Donuts  Las Vegas   \n",
       "102            Doctors, Family Practice, Health & Medical  Las Vegas   \n",
       "105     Cosmetics & Beauty Supply, Hair Stylists, Beau...  Las Vegas   \n",
       "111                                  Restaurants, Chinese  Las Vegas   \n",
       "123     Graphic Design, Printing Services, Web Design,...  Las Vegas   \n",
       "128                                    Food, Coffee & Tea  Las Vegas   \n",
       "131                       Security Systems, Home Services  Las Vegas   \n",
       "...                                                   ...        ...   \n",
       "192424  Home Services, Apartments, Real Estate, Proper...  Las Vegas   \n",
       "192425                   Pet Groomers, Pet Services, Pets  Las Vegas   \n",
       "192426     Home Services, Heating & Air Conditioning/HVAC  Las Vegas   \n",
       "192435  Condominiums, Real Estate, Home Services, Apar...  Las Vegas   \n",
       "192442                                 Active Life, Parks  Las Vegas   \n",
       "192444  Food, Bakeries, Desserts, Breakfast & Brunch, ...  Las Vegas   \n",
       "192448  Active Life, Child Care & Day Care, Local Serv...  Las Vegas   \n",
       "192453  Doctors, Oral Surgeons, Health & Medical, Dent...  Las Vegas   \n",
       "192456  Mediterranean, Caterers, Event Planning & Serv...  Las Vegas   \n",
       "192457  Computers, Security Systems, Shopping, Home Se...  Las Vegas   \n",
       "192458  Sandwiches, Pizza, Chicken Wings, Italian, Res...  Las Vegas   \n",
       "192464  Arts & Entertainment, Comedy Clubs, Adult Ente...  Las Vegas   \n",
       "192467  Local Services, Fashion, Shopping, Community S...  Las Vegas   \n",
       "192470  Professional Services, Lawyers, Traffic Ticket...  Las Vegas   \n",
       "192472                                 Coffee & Tea, Food  Las Vegas   \n",
       "192475  Sandwiches, Cafes, Pizza, Vegetarian, Gluten-F...  Las Vegas   \n",
       "192500           Doctors, Chiropractors, Health & Medical  Las Vegas   \n",
       "192505  Pediatric Dentists, Dentists, Orthodontists, G...  Las Vegas   \n",
       "192507                                 Restaurants, Pizza  Las Vegas   \n",
       "192517                             Restaurants, Fast Food  Las Vegas   \n",
       "192544  Professional Services, Personal Injury Law, La...  Las Vegas   \n",
       "192562  Farmers Market, Caterers, Food, Street Vendors...  Las Vegas   \n",
       "192573  Event Planning & Services, Party Supplies, Who...  Las Vegas   \n",
       "192574  Medical Spas, Hair Removal, Health & Medical, ...  Las Vegas   \n",
       "192577  Local Services, Education, Elementary Schools,...  Las Vegas   \n",
       "192580                    Champagne Bars, Nightlife, Bars  Las Vegas   \n",
       "192584                                               None  Las Vegas   \n",
       "192586  Landscape Architects, Home Services, Gardeners...  Las Vegas   \n",
       "192598                                 Food, Coffee & Tea  Las Vegas   \n",
       "192608                             Massage, Beauty & Spas  Las Vegas   \n",
       "\n",
       "       postal_code  review_count  stars  \n",
       "7            89121             3    3.5  \n",
       "17           89119            40    4.0  \n",
       "18           89121            21    5.0  \n",
       "20           89101            38    4.5  \n",
       "22           89118           107    4.0  \n",
       "24           89149             4    5.0  \n",
       "25           89156           184    4.5  \n",
       "28           89102            52    4.5  \n",
       "30           89117            38    3.5  \n",
       "34           89108            19    1.5  \n",
       "41           89118             6    5.0  \n",
       "42           89102             5    2.0  \n",
       "43           89115            44    5.0  \n",
       "64           89148            27    2.0  \n",
       "67           89109             5    4.0  \n",
       "69           89156             9    4.0  \n",
       "70           89117             8    5.0  \n",
       "75           89146            33    2.0  \n",
       "86           89115             4    4.0  \n",
       "93           89109            21    3.5  \n",
       "98           89120             8    5.0  \n",
       "99           89119            26    3.5  \n",
       "100          89149           116    4.5  \n",
       "101          89121             6    4.0  \n",
       "102          89148             9    3.0  \n",
       "105          89109            38    3.5  \n",
       "111          89030             4    2.0  \n",
       "123          89119             3    5.0  \n",
       "128          89134            76    4.0  \n",
       "131          89118            18    2.0  \n",
       "...            ...           ...    ...  \n",
       "192424       89145            17    1.5  \n",
       "192425       89123            24    2.5  \n",
       "192426       89110             3    5.0  \n",
       "192435       89169             4    3.0  \n",
       "192442       89134             7    4.5  \n",
       "192444       89147           464    4.5  \n",
       "192448       89117           203    4.0  \n",
       "192453       89147            59    5.0  \n",
       "192456       89149           572    4.0  \n",
       "192457       89120            55    2.5  \n",
       "192458       89102           576    4.0  \n",
       "192464       89109            74    4.5  \n",
       "192467       89123            45    2.5  \n",
       "192470       89104             5    4.0  \n",
       "192472       89109             7    4.5  \n",
       "192475       89123           704    4.0  \n",
       "192500       89146             6    4.5  \n",
       "192505       89119            32    5.0  \n",
       "192507       89149            24    3.5  \n",
       "192517       89106             5    2.0  \n",
       "192544       89146             6    5.0  \n",
       "192562       89118           595    4.5  \n",
       "192573       89123            15    3.0  \n",
       "192574       89148            12    4.5  \n",
       "192577       89117             7    4.0  \n",
       "192580       89109            48    3.0  \n",
       "192584       89101             3    5.0  \n",
       "192586       89107             3    1.0  \n",
       "192598       89123           138    3.0  \n",
       "192608       89109             3    4.0  \n",
       "\n",
       "[29370 rows x 5 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_vegas = df_clean[(df_clean['city'] == 'Las Vegas')]\n",
    "df_vegas\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have our dataset of only businesses operating in Las Vegas, we can drop the ‘city’ column from our dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>categories</th>\n",
       "      <th>postal_code</th>\n",
       "      <th>review_count</th>\n",
       "      <th>stars</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Hair Salons, Hair Stylists, Barbers, Men's Hai...</td>\n",
       "      <td>89121</td>\n",
       "      <td>3</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Restaurants, Italian</td>\n",
       "      <td>89119</td>\n",
       "      <td>40</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Event Planning &amp; Services, Photographers, Prof...</td>\n",
       "      <td>89121</td>\n",
       "      <td>21</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Arcades, Arts &amp; Entertainment</td>\n",
       "      <td>89101</td>\n",
       "      <td>38</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Nightlife, Arts &amp; Entertainment, Bars, Strip C...</td>\n",
       "      <td>89118</td>\n",
       "      <td>107</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Women's Clothing, Shopping, Accessories, Fashi...</td>\n",
       "      <td>89149</td>\n",
       "      <td>4</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Mexican, Restaurants, Patisserie/Cake Shop, Fo...</td>\n",
       "      <td>89156</td>\n",
       "      <td>184</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Car Rental, Windshield Installation &amp; Repair, ...</td>\n",
       "      <td>89102</td>\n",
       "      <td>52</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Shopping, Home &amp; Garden, Department Stores, Me...</td>\n",
       "      <td>89117</td>\n",
       "      <td>38</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Home Services, Real Estate, Financial Services...</td>\n",
       "      <td>89108</td>\n",
       "      <td>19</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>Real Estate, Home Services, Mortgage Brokers, ...</td>\n",
       "      <td>89118</td>\n",
       "      <td>6</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Home Services, Real Estate, Apartments</td>\n",
       "      <td>89102</td>\n",
       "      <td>5</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Local Services, Food Banks, Community Service/...</td>\n",
       "      <td>89115</td>\n",
       "      <td>44</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>Financial Services, Banks &amp; Credit Unions</td>\n",
       "      <td>89148</td>\n",
       "      <td>27</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>Shopping, Women's Clothing, Fashion</td>\n",
       "      <td>89109</td>\n",
       "      <td>5</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>69</th>\n",
       "      <td>Tree Services, Landscape Architects, Home Serv...</td>\n",
       "      <td>89156</td>\n",
       "      <td>9</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>70</th>\n",
       "      <td>Hair Loss Centers, Beauty &amp; Spas, Hair Stylist...</td>\n",
       "      <td>89117</td>\n",
       "      <td>8</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Fast Food, Food, Restaurants, Ice Cream &amp; Froz...</td>\n",
       "      <td>89146</td>\n",
       "      <td>33</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>86</th>\n",
       "      <td>Automotive, Auto Repair, Tires</td>\n",
       "      <td>89115</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93</th>\n",
       "      <td>Accessories, Shopping, Fashion, Jewelry, Leath...</td>\n",
       "      <td>89109</td>\n",
       "      <td>21</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>Hair Stylists, Makeup Artists, Hair Salons, Pe...</td>\n",
       "      <td>89120</td>\n",
       "      <td>8</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>Property Management, Home Services, Real Estate</td>\n",
       "      <td>89119</td>\n",
       "      <td>26</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>Beauty &amp; Spas, Hair Salons</td>\n",
       "      <td>89149</td>\n",
       "      <td>116</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Food, Donuts</td>\n",
       "      <td>89121</td>\n",
       "      <td>6</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>Doctors, Family Practice, Health &amp; Medical</td>\n",
       "      <td>89148</td>\n",
       "      <td>9</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>Cosmetics &amp; Beauty Supply, Hair Stylists, Beau...</td>\n",
       "      <td>89109</td>\n",
       "      <td>38</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>Restaurants, Chinese</td>\n",
       "      <td>89030</td>\n",
       "      <td>4</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>Graphic Design, Printing Services, Web Design,...</td>\n",
       "      <td>89119</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>Food, Coffee &amp; Tea</td>\n",
       "      <td>89134</td>\n",
       "      <td>76</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>Security Systems, Home Services</td>\n",
       "      <td>89118</td>\n",
       "      <td>18</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192424</th>\n",
       "      <td>Home Services, Apartments, Real Estate, Proper...</td>\n",
       "      <td>89145</td>\n",
       "      <td>17</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192425</th>\n",
       "      <td>Pet Groomers, Pet Services, Pets</td>\n",
       "      <td>89123</td>\n",
       "      <td>24</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192426</th>\n",
       "      <td>Home Services, Heating &amp; Air Conditioning/HVAC</td>\n",
       "      <td>89110</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192435</th>\n",
       "      <td>Condominiums, Real Estate, Home Services, Apar...</td>\n",
       "      <td>89169</td>\n",
       "      <td>4</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192442</th>\n",
       "      <td>Active Life, Parks</td>\n",
       "      <td>89134</td>\n",
       "      <td>7</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192444</th>\n",
       "      <td>Food, Bakeries, Desserts, Breakfast &amp; Brunch, ...</td>\n",
       "      <td>89147</td>\n",
       "      <td>464</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192448</th>\n",
       "      <td>Active Life, Child Care &amp; Day Care, Local Serv...</td>\n",
       "      <td>89117</td>\n",
       "      <td>203</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192453</th>\n",
       "      <td>Doctors, Oral Surgeons, Health &amp; Medical, Dent...</td>\n",
       "      <td>89147</td>\n",
       "      <td>59</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192456</th>\n",
       "      <td>Mediterranean, Caterers, Event Planning &amp; Serv...</td>\n",
       "      <td>89149</td>\n",
       "      <td>572</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192457</th>\n",
       "      <td>Computers, Security Systems, Shopping, Home Se...</td>\n",
       "      <td>89120</td>\n",
       "      <td>55</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192458</th>\n",
       "      <td>Sandwiches, Pizza, Chicken Wings, Italian, Res...</td>\n",
       "      <td>89102</td>\n",
       "      <td>576</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192464</th>\n",
       "      <td>Arts &amp; Entertainment, Comedy Clubs, Adult Ente...</td>\n",
       "      <td>89109</td>\n",
       "      <td>74</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192467</th>\n",
       "      <td>Local Services, Fashion, Shopping, Community S...</td>\n",
       "      <td>89123</td>\n",
       "      <td>45</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192470</th>\n",
       "      <td>Professional Services, Lawyers, Traffic Ticket...</td>\n",
       "      <td>89104</td>\n",
       "      <td>5</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192472</th>\n",
       "      <td>Coffee &amp; Tea, Food</td>\n",
       "      <td>89109</td>\n",
       "      <td>7</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192475</th>\n",
       "      <td>Sandwiches, Cafes, Pizza, Vegetarian, Gluten-F...</td>\n",
       "      <td>89123</td>\n",
       "      <td>704</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192500</th>\n",
       "      <td>Doctors, Chiropractors, Health &amp; Medical</td>\n",
       "      <td>89146</td>\n",
       "      <td>6</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192505</th>\n",
       "      <td>Pediatric Dentists, Dentists, Orthodontists, G...</td>\n",
       "      <td>89119</td>\n",
       "      <td>32</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192507</th>\n",
       "      <td>Restaurants, Pizza</td>\n",
       "      <td>89149</td>\n",
       "      <td>24</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192517</th>\n",
       "      <td>Restaurants, Fast Food</td>\n",
       "      <td>89106</td>\n",
       "      <td>5</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192544</th>\n",
       "      <td>Professional Services, Personal Injury Law, La...</td>\n",
       "      <td>89146</td>\n",
       "      <td>6</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192562</th>\n",
       "      <td>Farmers Market, Caterers, Food, Street Vendors...</td>\n",
       "      <td>89118</td>\n",
       "      <td>595</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192573</th>\n",
       "      <td>Event Planning &amp; Services, Party Supplies, Who...</td>\n",
       "      <td>89123</td>\n",
       "      <td>15</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192574</th>\n",
       "      <td>Medical Spas, Hair Removal, Health &amp; Medical, ...</td>\n",
       "      <td>89148</td>\n",
       "      <td>12</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192577</th>\n",
       "      <td>Local Services, Education, Elementary Schools,...</td>\n",
       "      <td>89117</td>\n",
       "      <td>7</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192580</th>\n",
       "      <td>Champagne Bars, Nightlife, Bars</td>\n",
       "      <td>89109</td>\n",
       "      <td>48</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192584</th>\n",
       "      <td>None</td>\n",
       "      <td>89101</td>\n",
       "      <td>3</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192586</th>\n",
       "      <td>Landscape Architects, Home Services, Gardeners...</td>\n",
       "      <td>89107</td>\n",
       "      <td>3</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192598</th>\n",
       "      <td>Food, Coffee &amp; Tea</td>\n",
       "      <td>89123</td>\n",
       "      <td>138</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192608</th>\n",
       "      <td>Massage, Beauty &amp; Spas</td>\n",
       "      <td>89109</td>\n",
       "      <td>3</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>29370 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               categories postal_code  \\\n",
       "7       Hair Salons, Hair Stylists, Barbers, Men's Hai...       89121   \n",
       "17                                   Restaurants, Italian       89119   \n",
       "18      Event Planning & Services, Photographers, Prof...       89121   \n",
       "20                          Arcades, Arts & Entertainment       89101   \n",
       "22      Nightlife, Arts & Entertainment, Bars, Strip C...       89118   \n",
       "24      Women's Clothing, Shopping, Accessories, Fashi...       89149   \n",
       "25      Mexican, Restaurants, Patisserie/Cake Shop, Fo...       89156   \n",
       "28      Car Rental, Windshield Installation & Repair, ...       89102   \n",
       "30      Shopping, Home & Garden, Department Stores, Me...       89117   \n",
       "34      Home Services, Real Estate, Financial Services...       89108   \n",
       "41      Real Estate, Home Services, Mortgage Brokers, ...       89118   \n",
       "42                 Home Services, Real Estate, Apartments       89102   \n",
       "43      Local Services, Food Banks, Community Service/...       89115   \n",
       "64              Financial Services, Banks & Credit Unions       89148   \n",
       "67                    Shopping, Women's Clothing, Fashion       89109   \n",
       "69      Tree Services, Landscape Architects, Home Serv...       89156   \n",
       "70      Hair Loss Centers, Beauty & Spas, Hair Stylist...       89117   \n",
       "75      Fast Food, Food, Restaurants, Ice Cream & Froz...       89146   \n",
       "86                         Automotive, Auto Repair, Tires       89115   \n",
       "93      Accessories, Shopping, Fashion, Jewelry, Leath...       89109   \n",
       "98      Hair Stylists, Makeup Artists, Hair Salons, Pe...       89120   \n",
       "99        Property Management, Home Services, Real Estate       89119   \n",
       "100                            Beauty & Spas, Hair Salons       89149   \n",
       "101                                          Food, Donuts       89121   \n",
       "102            Doctors, Family Practice, Health & Medical       89148   \n",
       "105     Cosmetics & Beauty Supply, Hair Stylists, Beau...       89109   \n",
       "111                                  Restaurants, Chinese       89030   \n",
       "123     Graphic Design, Printing Services, Web Design,...       89119   \n",
       "128                                    Food, Coffee & Tea       89134   \n",
       "131                       Security Systems, Home Services       89118   \n",
       "...                                                   ...         ...   \n",
       "192424  Home Services, Apartments, Real Estate, Proper...       89145   \n",
       "192425                   Pet Groomers, Pet Services, Pets       89123   \n",
       "192426     Home Services, Heating & Air Conditioning/HVAC       89110   \n",
       "192435  Condominiums, Real Estate, Home Services, Apar...       89169   \n",
       "192442                                 Active Life, Parks       89134   \n",
       "192444  Food, Bakeries, Desserts, Breakfast & Brunch, ...       89147   \n",
       "192448  Active Life, Child Care & Day Care, Local Serv...       89117   \n",
       "192453  Doctors, Oral Surgeons, Health & Medical, Dent...       89147   \n",
       "192456  Mediterranean, Caterers, Event Planning & Serv...       89149   \n",
       "192457  Computers, Security Systems, Shopping, Home Se...       89120   \n",
       "192458  Sandwiches, Pizza, Chicken Wings, Italian, Res...       89102   \n",
       "192464  Arts & Entertainment, Comedy Clubs, Adult Ente...       89109   \n",
       "192467  Local Services, Fashion, Shopping, Community S...       89123   \n",
       "192470  Professional Services, Lawyers, Traffic Ticket...       89104   \n",
       "192472                                 Coffee & Tea, Food       89109   \n",
       "192475  Sandwiches, Cafes, Pizza, Vegetarian, Gluten-F...       89123   \n",
       "192500           Doctors, Chiropractors, Health & Medical       89146   \n",
       "192505  Pediatric Dentists, Dentists, Orthodontists, G...       89119   \n",
       "192507                                 Restaurants, Pizza       89149   \n",
       "192517                             Restaurants, Fast Food       89106   \n",
       "192544  Professional Services, Personal Injury Law, La...       89146   \n",
       "192562  Farmers Market, Caterers, Food, Street Vendors...       89118   \n",
       "192573  Event Planning & Services, Party Supplies, Who...       89123   \n",
       "192574  Medical Spas, Hair Removal, Health & Medical, ...       89148   \n",
       "192577  Local Services, Education, Elementary Schools,...       89117   \n",
       "192580                    Champagne Bars, Nightlife, Bars       89109   \n",
       "192584                                               None       89101   \n",
       "192586  Landscape Architects, Home Services, Gardeners...       89107   \n",
       "192598                                 Food, Coffee & Tea       89123   \n",
       "192608                             Massage, Beauty & Spas       89109   \n",
       "\n",
       "        review_count  stars  \n",
       "7                  3    3.5  \n",
       "17                40    4.0  \n",
       "18                21    5.0  \n",
       "20                38    4.5  \n",
       "22               107    4.0  \n",
       "24                 4    5.0  \n",
       "25               184    4.5  \n",
       "28                52    4.5  \n",
       "30                38    3.5  \n",
       "34                19    1.5  \n",
       "41                 6    5.0  \n",
       "42                 5    2.0  \n",
       "43                44    5.0  \n",
       "64                27    2.0  \n",
       "67                 5    4.0  \n",
       "69                 9    4.0  \n",
       "70                 8    5.0  \n",
       "75                33    2.0  \n",
       "86                 4    4.0  \n",
       "93                21    3.5  \n",
       "98                 8    5.0  \n",
       "99                26    3.5  \n",
       "100              116    4.5  \n",
       "101                6    4.0  \n",
       "102                9    3.0  \n",
       "105               38    3.5  \n",
       "111                4    2.0  \n",
       "123                3    5.0  \n",
       "128               76    4.0  \n",
       "131               18    2.0  \n",
       "...              ...    ...  \n",
       "192424            17    1.5  \n",
       "192425            24    2.5  \n",
       "192426             3    5.0  \n",
       "192435             4    3.0  \n",
       "192442             7    4.5  \n",
       "192444           464    4.5  \n",
       "192448           203    4.0  \n",
       "192453            59    5.0  \n",
       "192456           572    4.0  \n",
       "192457            55    2.5  \n",
       "192458           576    4.0  \n",
       "192464            74    4.5  \n",
       "192467            45    2.5  \n",
       "192470             5    4.0  \n",
       "192472             7    4.5  \n",
       "192475           704    4.0  \n",
       "192500             6    4.5  \n",
       "192505            32    5.0  \n",
       "192507            24    3.5  \n",
       "192517             5    2.0  \n",
       "192544             6    5.0  \n",
       "192562           595    4.5  \n",
       "192573            15    3.0  \n",
       "192574            12    4.5  \n",
       "192577             7    4.0  \n",
       "192580            48    3.0  \n",
       "192584             3    5.0  \n",
       "192586             3    1.0  \n",
       "192598           138    3.0  \n",
       "192608             3    4.0  \n",
       "\n",
       "[29370 rows x 4 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_vegas = df_vegas.drop(['city'], axis = 1)\n",
    "df_vegas\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Furthermore, we would like to only analyze businesses that are restaurants or food-related, so we filter our data to only contain businesses that have the words “Restaurants” and “Food” in the “Categories” column. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>categories</th>\n",
       "      <th>postal_code</th>\n",
       "      <th>review_count</th>\n",
       "      <th>stars</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Restaurants, Italian</td>\n",
       "      <td>89119</td>\n",
       "      <td>40</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Mexican, Restaurants, Patisserie/Cake Shop, Fo...</td>\n",
       "      <td>89156</td>\n",
       "      <td>184</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Local Services, Food Banks, Community Service/...</td>\n",
       "      <td>89115</td>\n",
       "      <td>44</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>Fast Food, Food, Restaurants, Ice Cream &amp; Froz...</td>\n",
       "      <td>89146</td>\n",
       "      <td>33</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>Food, Donuts</td>\n",
       "      <td>89121</td>\n",
       "      <td>6</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>Restaurants, Chinese</td>\n",
       "      <td>89030</td>\n",
       "      <td>4</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>Food, Coffee &amp; Tea</td>\n",
       "      <td>89134</td>\n",
       "      <td>76</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>Restaurants, Pizza, Italian, American (New)</td>\n",
       "      <td>89102</td>\n",
       "      <td>3</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>173</th>\n",
       "      <td>Food, Pizza, Wine Bars, Bars, Restaurants, Nig...</td>\n",
       "      <td>89102</td>\n",
       "      <td>3</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>French, Restaurants, Creperies</td>\n",
       "      <td>89109</td>\n",
       "      <td>535</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>Buffets, Restaurants</td>\n",
       "      <td>89102</td>\n",
       "      <td>287</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>Bars, Sports Bars, Nightlife, Beer, Wine &amp; Spi...</td>\n",
       "      <td>89169</td>\n",
       "      <td>3</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>Sandwiches, Restaurants, Delis, Desserts, Food</td>\n",
       "      <td>89109</td>\n",
       "      <td>28</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>214</th>\n",
       "      <td>Middle Eastern, Restaurants, Vegetarian, Juice...</td>\n",
       "      <td>89183</td>\n",
       "      <td>77</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>Dive Bars, Food, Bars, Pubs, Restaurants, Nigh...</td>\n",
       "      <td>89121</td>\n",
       "      <td>27</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>240</th>\n",
       "      <td>Restaurants, Food, Delis, Desserts, Bakeries, ...</td>\n",
       "      <td>89103</td>\n",
       "      <td>39</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>249</th>\n",
       "      <td>Grocery, Food, Specialty Food</td>\n",
       "      <td>89119</td>\n",
       "      <td>4</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>300</th>\n",
       "      <td>American (Traditional), Gluten-Free, Restauran...</td>\n",
       "      <td>89128</td>\n",
       "      <td>7</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>327</th>\n",
       "      <td>Hotels &amp; Travel, Nightlife, Food, Beer, Wine &amp;...</td>\n",
       "      <td>89109</td>\n",
       "      <td>6</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>353</th>\n",
       "      <td>Sandwiches, Juice Bars &amp; Smoothies, Coffee &amp; T...</td>\n",
       "      <td>89102</td>\n",
       "      <td>19</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>434</th>\n",
       "      <td>Steakhouses, Restaurants</td>\n",
       "      <td>89109</td>\n",
       "      <td>60</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>Seafood, Chinese, Steakhouses, Restaurants, It...</td>\n",
       "      <td>89109</td>\n",
       "      <td>21</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>464</th>\n",
       "      <td>Food, Bakeries, Restaurants</td>\n",
       "      <td>89121</td>\n",
       "      <td>11</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>494</th>\n",
       "      <td>Restaurants, Pizza</td>\n",
       "      <td>89131</td>\n",
       "      <td>303</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542</th>\n",
       "      <td>Fast Food, Mexican, Restaurants</td>\n",
       "      <td>89109</td>\n",
       "      <td>115</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>543</th>\n",
       "      <td>Restaurants, Food, Coffee &amp; Tea, Juice Bars &amp; ...</td>\n",
       "      <td>89134</td>\n",
       "      <td>21</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>665</th>\n",
       "      <td>Food, Coffee &amp; Tea</td>\n",
       "      <td>89123</td>\n",
       "      <td>36</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>Pizza, Salad, Restaurants, Italian</td>\n",
       "      <td>89109</td>\n",
       "      <td>296</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>702</th>\n",
       "      <td>Food, Bakeries</td>\n",
       "      <td>89146</td>\n",
       "      <td>45</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>718</th>\n",
       "      <td>Chinese, Seafood, Cantonese, Noodles, Restaurants</td>\n",
       "      <td>89139</td>\n",
       "      <td>101</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191904</th>\n",
       "      <td>Noodles, Chinese, Restaurants</td>\n",
       "      <td>89109</td>\n",
       "      <td>53</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191936</th>\n",
       "      <td>Burgers, Sandwiches, American (Traditional), F...</td>\n",
       "      <td>89103</td>\n",
       "      <td>72</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191996</th>\n",
       "      <td>Chicken Wings, Restaurants, Fast Food, Souther...</td>\n",
       "      <td>89118</td>\n",
       "      <td>35</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192050</th>\n",
       "      <td>Asian Fusion, Seafood, Bars, Nightlife, Restau...</td>\n",
       "      <td>89109</td>\n",
       "      <td>514</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192057</th>\n",
       "      <td>Nightlife, Cocktail Bars, Restaurants, Bars, M...</td>\n",
       "      <td>89109</td>\n",
       "      <td>467</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192064</th>\n",
       "      <td>Restaurants, Juice Bars &amp; Smoothies, Food, Ice...</td>\n",
       "      <td>89131</td>\n",
       "      <td>63</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192105</th>\n",
       "      <td>Filipino, Restaurants</td>\n",
       "      <td>89109</td>\n",
       "      <td>127</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192107</th>\n",
       "      <td>Desserts, Farmers Market, Food</td>\n",
       "      <td>89107</td>\n",
       "      <td>9</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192118</th>\n",
       "      <td>Fast Food, Mexican, Restaurants</td>\n",
       "      <td>89106</td>\n",
       "      <td>38</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192146</th>\n",
       "      <td>Restaurants, Desserts, Food, Chicken Wings, Pizza</td>\n",
       "      <td>89119</td>\n",
       "      <td>52</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192155</th>\n",
       "      <td>Southern, Seafood, Restaurants</td>\n",
       "      <td>89119</td>\n",
       "      <td>11</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192188</th>\n",
       "      <td>Ethiopian, Restaurants</td>\n",
       "      <td>89118</td>\n",
       "      <td>51</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192204</th>\n",
       "      <td>Restaurants, Sushi Bars, Japanese, Food, Ramen...</td>\n",
       "      <td>89103</td>\n",
       "      <td>102</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192209</th>\n",
       "      <td>Gas Stations, Convenience Stores, Food, Automo...</td>\n",
       "      <td>89109</td>\n",
       "      <td>12</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192212</th>\n",
       "      <td>Department Stores, Food, Mobile Phones, Drugst...</td>\n",
       "      <td>89121</td>\n",
       "      <td>102</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192225</th>\n",
       "      <td>Food, Shopping, Grocery, Discount Store</td>\n",
       "      <td>89103</td>\n",
       "      <td>21</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192230</th>\n",
       "      <td>Mexican, Event Planning &amp; Services, Food Stand...</td>\n",
       "      <td>89032</td>\n",
       "      <td>39</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192255</th>\n",
       "      <td>Restaurants, Mexican</td>\n",
       "      <td>89123</td>\n",
       "      <td>14</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192304</th>\n",
       "      <td>Filipino, Restaurants</td>\n",
       "      <td>89183</td>\n",
       "      <td>32</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192325</th>\n",
       "      <td>Pizza, Restaurants</td>\n",
       "      <td>89108</td>\n",
       "      <td>20</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192444</th>\n",
       "      <td>Food, Bakeries, Desserts, Breakfast &amp; Brunch, ...</td>\n",
       "      <td>89147</td>\n",
       "      <td>464</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192456</th>\n",
       "      <td>Mediterranean, Caterers, Event Planning &amp; Serv...</td>\n",
       "      <td>89149</td>\n",
       "      <td>572</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192458</th>\n",
       "      <td>Sandwiches, Pizza, Chicken Wings, Italian, Res...</td>\n",
       "      <td>89102</td>\n",
       "      <td>576</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192472</th>\n",
       "      <td>Coffee &amp; Tea, Food</td>\n",
       "      <td>89109</td>\n",
       "      <td>7</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192475</th>\n",
       "      <td>Sandwiches, Cafes, Pizza, Vegetarian, Gluten-F...</td>\n",
       "      <td>89123</td>\n",
       "      <td>704</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192507</th>\n",
       "      <td>Restaurants, Pizza</td>\n",
       "      <td>89149</td>\n",
       "      <td>24</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192517</th>\n",
       "      <td>Restaurants, Fast Food</td>\n",
       "      <td>89106</td>\n",
       "      <td>5</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192562</th>\n",
       "      <td>Farmers Market, Caterers, Food, Street Vendors...</td>\n",
       "      <td>89118</td>\n",
       "      <td>595</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192573</th>\n",
       "      <td>Event Planning &amp; Services, Party Supplies, Who...</td>\n",
       "      <td>89123</td>\n",
       "      <td>15</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192598</th>\n",
       "      <td>Food, Coffee &amp; Tea</td>\n",
       "      <td>89123</td>\n",
       "      <td>138</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>8286 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               categories postal_code  \\\n",
       "17                                   Restaurants, Italian       89119   \n",
       "25      Mexican, Restaurants, Patisserie/Cake Shop, Fo...       89156   \n",
       "43      Local Services, Food Banks, Community Service/...       89115   \n",
       "75      Fast Food, Food, Restaurants, Ice Cream & Froz...       89146   \n",
       "101                                          Food, Donuts       89121   \n",
       "111                                  Restaurants, Chinese       89030   \n",
       "128                                    Food, Coffee & Tea       89134   \n",
       "135           Restaurants, Pizza, Italian, American (New)       89102   \n",
       "173     Food, Pizza, Wine Bars, Bars, Restaurants, Nig...       89102   \n",
       "174                        French, Restaurants, Creperies       89109   \n",
       "176                                  Buffets, Restaurants       89102   \n",
       "198     Bars, Sports Bars, Nightlife, Beer, Wine & Spi...       89169   \n",
       "206        Sandwiches, Restaurants, Delis, Desserts, Food       89109   \n",
       "214     Middle Eastern, Restaurants, Vegetarian, Juice...       89183   \n",
       "216     Dive Bars, Food, Bars, Pubs, Restaurants, Nigh...       89121   \n",
       "240     Restaurants, Food, Delis, Desserts, Bakeries, ...       89103   \n",
       "249                         Grocery, Food, Specialty Food       89119   \n",
       "300     American (Traditional), Gluten-Free, Restauran...       89128   \n",
       "327     Hotels & Travel, Nightlife, Food, Beer, Wine &...       89109   \n",
       "353     Sandwiches, Juice Bars & Smoothies, Coffee & T...       89102   \n",
       "434                              Steakhouses, Restaurants       89109   \n",
       "437     Seafood, Chinese, Steakhouses, Restaurants, It...       89109   \n",
       "464                           Food, Bakeries, Restaurants       89121   \n",
       "494                                    Restaurants, Pizza       89131   \n",
       "542                       Fast Food, Mexican, Restaurants       89109   \n",
       "543     Restaurants, Food, Coffee & Tea, Juice Bars & ...       89134   \n",
       "665                                    Food, Coffee & Tea       89123   \n",
       "693                    Pizza, Salad, Restaurants, Italian       89109   \n",
       "702                                        Food, Bakeries       89146   \n",
       "718     Chinese, Seafood, Cantonese, Noodles, Restaurants       89139   \n",
       "...                                                   ...         ...   \n",
       "191904                      Noodles, Chinese, Restaurants       89109   \n",
       "191936  Burgers, Sandwiches, American (Traditional), F...       89103   \n",
       "191996  Chicken Wings, Restaurants, Fast Food, Souther...       89118   \n",
       "192050  Asian Fusion, Seafood, Bars, Nightlife, Restau...       89109   \n",
       "192057  Nightlife, Cocktail Bars, Restaurants, Bars, M...       89109   \n",
       "192064  Restaurants, Juice Bars & Smoothies, Food, Ice...       89131   \n",
       "192105                              Filipino, Restaurants       89109   \n",
       "192107                     Desserts, Farmers Market, Food       89107   \n",
       "192118                    Fast Food, Mexican, Restaurants       89106   \n",
       "192146  Restaurants, Desserts, Food, Chicken Wings, Pizza       89119   \n",
       "192155                     Southern, Seafood, Restaurants       89119   \n",
       "192188                             Ethiopian, Restaurants       89118   \n",
       "192204  Restaurants, Sushi Bars, Japanese, Food, Ramen...       89103   \n",
       "192209  Gas Stations, Convenience Stores, Food, Automo...       89109   \n",
       "192212  Department Stores, Food, Mobile Phones, Drugst...       89121   \n",
       "192225            Food, Shopping, Grocery, Discount Store       89103   \n",
       "192230  Mexican, Event Planning & Services, Food Stand...       89032   \n",
       "192255                               Restaurants, Mexican       89123   \n",
       "192304                              Filipino, Restaurants       89183   \n",
       "192325                                 Pizza, Restaurants       89108   \n",
       "192444  Food, Bakeries, Desserts, Breakfast & Brunch, ...       89147   \n",
       "192456  Mediterranean, Caterers, Event Planning & Serv...       89149   \n",
       "192458  Sandwiches, Pizza, Chicken Wings, Italian, Res...       89102   \n",
       "192472                                 Coffee & Tea, Food       89109   \n",
       "192475  Sandwiches, Cafes, Pizza, Vegetarian, Gluten-F...       89123   \n",
       "192507                                 Restaurants, Pizza       89149   \n",
       "192517                             Restaurants, Fast Food       89106   \n",
       "192562  Farmers Market, Caterers, Food, Street Vendors...       89118   \n",
       "192573  Event Planning & Services, Party Supplies, Who...       89123   \n",
       "192598                                 Food, Coffee & Tea       89123   \n",
       "\n",
       "        review_count  stars  \n",
       "17                40    4.0  \n",
       "25               184    4.5  \n",
       "43                44    5.0  \n",
       "75                33    2.0  \n",
       "101                6    4.0  \n",
       "111                4    2.0  \n",
       "128               76    4.0  \n",
       "135                3    2.0  \n",
       "173                3    4.5  \n",
       "174              535    3.5  \n",
       "176              287    3.0  \n",
       "198                3    4.5  \n",
       "206               28    3.5  \n",
       "214               77    4.0  \n",
       "216               27    4.0  \n",
       "240               39    4.5  \n",
       "249                4    4.0  \n",
       "300                7    5.0  \n",
       "327                6    3.5  \n",
       "353               19    4.0  \n",
       "434               60    4.0  \n",
       "437               21    3.5  \n",
       "464               11    4.5  \n",
       "494              303    3.5  \n",
       "542              115    3.5  \n",
       "543               21    3.5  \n",
       "665               36    2.0  \n",
       "693              296    3.5  \n",
       "702               45    3.5  \n",
       "718              101    4.0  \n",
       "...              ...    ...  \n",
       "191904            53    2.5  \n",
       "191936            72    2.0  \n",
       "191996            35    2.5  \n",
       "192050           514    4.0  \n",
       "192057           467    2.5  \n",
       "192064            63    2.5  \n",
       "192105           127    3.5  \n",
       "192107             9    2.5  \n",
       "192118            38    2.5  \n",
       "192146            52    4.0  \n",
       "192155            11    2.5  \n",
       "192188            51    4.5  \n",
       "192204           102    4.0  \n",
       "192209            12    2.5  \n",
       "192212           102    3.0  \n",
       "192225            21    3.0  \n",
       "192230            39    5.0  \n",
       "192255            14    3.0  \n",
       "192304            32    4.0  \n",
       "192325            20    4.0  \n",
       "192444           464    4.5  \n",
       "192456           572    4.0  \n",
       "192458           576    4.0  \n",
       "192472             7    4.5  \n",
       "192475           704    4.0  \n",
       "192507            24    3.5  \n",
       "192517             5    2.0  \n",
       "192562           595    4.5  \n",
       "192573            15    3.0  \n",
       "192598           138    3.0  \n",
       "\n",
       "[8286 rows x 4 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "restaurants = df_vegas['categories'].astype(str).str.contains('Restaurants')\n",
    "food = df_vegas['categories'].astype(str).str.contains('Food')\n",
    "\n",
    "data_list = [any(tup) for tup in zip(restaurants, food)]\n",
    "\n",
    "df_vegas = df_vegas[data_list]\n",
    "df_vegas\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For our finalized dataframe, we are only considering businesses with at least 100 reviews, and so we create a dataframe with only businesses that have 100 or greater in the “review_count” column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>categories</th>\n",
       "      <th>postal_code</th>\n",
       "      <th>review_count</th>\n",
       "      <th>stars</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Mexican, Restaurants, Patisserie/Cake Shop, Fo...</td>\n",
       "      <td>89156</td>\n",
       "      <td>184</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174</th>\n",
       "      <td>French, Restaurants, Creperies</td>\n",
       "      <td>89109</td>\n",
       "      <td>535</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>176</th>\n",
       "      <td>Buffets, Restaurants</td>\n",
       "      <td>89102</td>\n",
       "      <td>287</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>494</th>\n",
       "      <td>Restaurants, Pizza</td>\n",
       "      <td>89131</td>\n",
       "      <td>303</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>542</th>\n",
       "      <td>Fast Food, Mexican, Restaurants</td>\n",
       "      <td>89109</td>\n",
       "      <td>115</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>693</th>\n",
       "      <td>Pizza, Salad, Restaurants, Italian</td>\n",
       "      <td>89109</td>\n",
       "      <td>296</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>718</th>\n",
       "      <td>Chinese, Seafood, Cantonese, Noodles, Restaurants</td>\n",
       "      <td>89139</td>\n",
       "      <td>101</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1095</th>\n",
       "      <td>Korean, Restaurants</td>\n",
       "      <td>89123</td>\n",
       "      <td>292</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1166</th>\n",
       "      <td>Italian, Pizza, Restaurants</td>\n",
       "      <td>89113</td>\n",
       "      <td>106</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1413</th>\n",
       "      <td>Local Flavor, Food, Restaurants, Vietnamese</td>\n",
       "      <td>89102</td>\n",
       "      <td>244</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1501</th>\n",
       "      <td>Department Stores, Fashion, Shopping, Food</td>\n",
       "      <td>89117</td>\n",
       "      <td>150</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1560</th>\n",
       "      <td>Vegetarian, Nightlife, Indian, Salad, Pakistan...</td>\n",
       "      <td>89169</td>\n",
       "      <td>402</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1565</th>\n",
       "      <td>Restaurants, Seafood</td>\n",
       "      <td>89103</td>\n",
       "      <td>102</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1632</th>\n",
       "      <td>Restaurants, Mexican</td>\n",
       "      <td>89119</td>\n",
       "      <td>168</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1744</th>\n",
       "      <td>Vietnamese, American (New), Restaurants, Sandw...</td>\n",
       "      <td>89119</td>\n",
       "      <td>481</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1846</th>\n",
       "      <td>Ethical Grocery, Grocery, Shopping, Food Stand...</td>\n",
       "      <td>89146</td>\n",
       "      <td>334</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1969</th>\n",
       "      <td>Restaurants, Desserts, Food, Juice Bars &amp; Smoo...</td>\n",
       "      <td>89147</td>\n",
       "      <td>260</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1975</th>\n",
       "      <td>American (New), Buffets, Restaurants</td>\n",
       "      <td>89109</td>\n",
       "      <td>4227</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2061</th>\n",
       "      <td>Restaurants, Noodles, Barbeque, Chinese</td>\n",
       "      <td>89102</td>\n",
       "      <td>550</td>\n",
       "      <td>2.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2176</th>\n",
       "      <td>Hotels &amp; Travel, Event Planning &amp; Services, Ar...</td>\n",
       "      <td>89139</td>\n",
       "      <td>544</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2187</th>\n",
       "      <td>Food, Restaurants, Mexican</td>\n",
       "      <td>89103</td>\n",
       "      <td>218</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2347</th>\n",
       "      <td>Restaurants, Japanese, Ramen</td>\n",
       "      <td>89102</td>\n",
       "      <td>150</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2377</th>\n",
       "      <td>Restaurants, Asian Fusion, Chinese, Dim Sum, N...</td>\n",
       "      <td>89109</td>\n",
       "      <td>1090</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2459</th>\n",
       "      <td>Burgers, Fast Food, Restaurants</td>\n",
       "      <td>89146</td>\n",
       "      <td>490</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2482</th>\n",
       "      <td>Steakhouses, Restaurants, Diners</td>\n",
       "      <td>89109</td>\n",
       "      <td>165</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2540</th>\n",
       "      <td>Restaurants, Asian Fusion, Seafood, Sushi Bars</td>\n",
       "      <td>89113</td>\n",
       "      <td>175</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2640</th>\n",
       "      <td>Shopping Centers, Resorts, Arts &amp; Entertainmen...</td>\n",
       "      <td>89109</td>\n",
       "      <td>3499</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2715</th>\n",
       "      <td>Restaurants, Fast Food, American (New), Chicke...</td>\n",
       "      <td>89135</td>\n",
       "      <td>445</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2879</th>\n",
       "      <td>Chinese, Restaurants</td>\n",
       "      <td>89121</td>\n",
       "      <td>165</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2895</th>\n",
       "      <td>Bakeries, Desserts, Food, Coffee &amp; Tea</td>\n",
       "      <td>89102</td>\n",
       "      <td>351</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190468</th>\n",
       "      <td>French, Restaurants, Hostels, Hotels &amp; Travel,...</td>\n",
       "      <td>89109</td>\n",
       "      <td>932</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190541</th>\n",
       "      <td>Pakistani, Halal, Vegetarian, Himalayan/Nepale...</td>\n",
       "      <td>89119</td>\n",
       "      <td>1071</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190603</th>\n",
       "      <td>Food Trucks, Breakfast &amp; Brunch, Cafes, Food, ...</td>\n",
       "      <td>89123</td>\n",
       "      <td>1076</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190627</th>\n",
       "      <td>Restaurants, Barbeque</td>\n",
       "      <td>89147</td>\n",
       "      <td>105</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190731</th>\n",
       "      <td>Restaurants, Breakfast &amp; Brunch</td>\n",
       "      <td>89117</td>\n",
       "      <td>415</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190863</th>\n",
       "      <td>Breakfast &amp; Brunch, American (Traditional), Bu...</td>\n",
       "      <td>89121</td>\n",
       "      <td>135</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190880</th>\n",
       "      <td>Bars, Restaurants, Tex-Mex, Fast Food, Nightli...</td>\n",
       "      <td>89109</td>\n",
       "      <td>105</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190944</th>\n",
       "      <td>Specialty Food, Food, Mediterranean, Ethnic Fo...</td>\n",
       "      <td>89103</td>\n",
       "      <td>169</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>190946</th>\n",
       "      <td>Fast Food, Mexican, Restaurants</td>\n",
       "      <td>89128</td>\n",
       "      <td>135</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191019</th>\n",
       "      <td>Mediterranean, Middle Eastern, Persian/Iranian...</td>\n",
       "      <td>89123</td>\n",
       "      <td>252</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191032</th>\n",
       "      <td>Breakfast &amp; Brunch, Sandwiches, Burgers, Resta...</td>\n",
       "      <td>89102</td>\n",
       "      <td>3300</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191065</th>\n",
       "      <td>Japanese, Restaurants, Ramen</td>\n",
       "      <td>89146</td>\n",
       "      <td>525</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191152</th>\n",
       "      <td>Restaurants, American (New), Food, American (T...</td>\n",
       "      <td>89109</td>\n",
       "      <td>1193</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191258</th>\n",
       "      <td>Restaurants, Bars, Lounges, Nightlife, America...</td>\n",
       "      <td>89109</td>\n",
       "      <td>159</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191544</th>\n",
       "      <td>Event Planning &amp; Services, Steakhouses, Arts &amp;...</td>\n",
       "      <td>89109</td>\n",
       "      <td>140</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191626</th>\n",
       "      <td>Imported Food, Ethnic Food, Specialty Food, Fo...</td>\n",
       "      <td>89123</td>\n",
       "      <td>150</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191632</th>\n",
       "      <td>Diners, Nightlife, Restaurants, Bars, Social C...</td>\n",
       "      <td>89109</td>\n",
       "      <td>908</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191729</th>\n",
       "      <td>Fast Food, Restaurants, Salad, Chicken Wings, ...</td>\n",
       "      <td>89120</td>\n",
       "      <td>173</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191796</th>\n",
       "      <td>Restaurants, Japanese, Food, Poke, Sushi Bars</td>\n",
       "      <td>89134</td>\n",
       "      <td>252</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192050</th>\n",
       "      <td>Asian Fusion, Seafood, Bars, Nightlife, Restau...</td>\n",
       "      <td>89109</td>\n",
       "      <td>514</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192057</th>\n",
       "      <td>Nightlife, Cocktail Bars, Restaurants, Bars, M...</td>\n",
       "      <td>89109</td>\n",
       "      <td>467</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192105</th>\n",
       "      <td>Filipino, Restaurants</td>\n",
       "      <td>89109</td>\n",
       "      <td>127</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192204</th>\n",
       "      <td>Restaurants, Sushi Bars, Japanese, Food, Ramen...</td>\n",
       "      <td>89103</td>\n",
       "      <td>102</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192212</th>\n",
       "      <td>Department Stores, Food, Mobile Phones, Drugst...</td>\n",
       "      <td>89121</td>\n",
       "      <td>102</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192444</th>\n",
       "      <td>Food, Bakeries, Desserts, Breakfast &amp; Brunch, ...</td>\n",
       "      <td>89147</td>\n",
       "      <td>464</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192456</th>\n",
       "      <td>Mediterranean, Caterers, Event Planning &amp; Serv...</td>\n",
       "      <td>89149</td>\n",
       "      <td>572</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192458</th>\n",
       "      <td>Sandwiches, Pizza, Chicken Wings, Italian, Res...</td>\n",
       "      <td>89102</td>\n",
       "      <td>576</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192475</th>\n",
       "      <td>Sandwiches, Cafes, Pizza, Vegetarian, Gluten-F...</td>\n",
       "      <td>89123</td>\n",
       "      <td>704</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192562</th>\n",
       "      <td>Farmers Market, Caterers, Food, Street Vendors...</td>\n",
       "      <td>89118</td>\n",
       "      <td>595</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>192598</th>\n",
       "      <td>Food, Coffee &amp; Tea</td>\n",
       "      <td>89123</td>\n",
       "      <td>138</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>2593 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               categories postal_code  \\\n",
       "25      Mexican, Restaurants, Patisserie/Cake Shop, Fo...       89156   \n",
       "174                        French, Restaurants, Creperies       89109   \n",
       "176                                  Buffets, Restaurants       89102   \n",
       "494                                    Restaurants, Pizza       89131   \n",
       "542                       Fast Food, Mexican, Restaurants       89109   \n",
       "693                    Pizza, Salad, Restaurants, Italian       89109   \n",
       "718     Chinese, Seafood, Cantonese, Noodles, Restaurants       89139   \n",
       "1095                                  Korean, Restaurants       89123   \n",
       "1166                          Italian, Pizza, Restaurants       89113   \n",
       "1413          Local Flavor, Food, Restaurants, Vietnamese       89102   \n",
       "1501           Department Stores, Fashion, Shopping, Food       89117   \n",
       "1560    Vegetarian, Nightlife, Indian, Salad, Pakistan...       89169   \n",
       "1565                                 Restaurants, Seafood       89103   \n",
       "1632                                 Restaurants, Mexican       89119   \n",
       "1744    Vietnamese, American (New), Restaurants, Sandw...       89119   \n",
       "1846    Ethical Grocery, Grocery, Shopping, Food Stand...       89146   \n",
       "1969    Restaurants, Desserts, Food, Juice Bars & Smoo...       89147   \n",
       "1975                 American (New), Buffets, Restaurants       89109   \n",
       "2061              Restaurants, Noodles, Barbeque, Chinese       89102   \n",
       "2176    Hotels & Travel, Event Planning & Services, Ar...       89139   \n",
       "2187                           Food, Restaurants, Mexican       89103   \n",
       "2347                         Restaurants, Japanese, Ramen       89102   \n",
       "2377    Restaurants, Asian Fusion, Chinese, Dim Sum, N...       89109   \n",
       "2459                      Burgers, Fast Food, Restaurants       89146   \n",
       "2482                     Steakhouses, Restaurants, Diners       89109   \n",
       "2540       Restaurants, Asian Fusion, Seafood, Sushi Bars       89113   \n",
       "2640    Shopping Centers, Resorts, Arts & Entertainmen...       89109   \n",
       "2715    Restaurants, Fast Food, American (New), Chicke...       89135   \n",
       "2879                                 Chinese, Restaurants       89121   \n",
       "2895               Bakeries, Desserts, Food, Coffee & Tea       89102   \n",
       "...                                                   ...         ...   \n",
       "190468  French, Restaurants, Hostels, Hotels & Travel,...       89109   \n",
       "190541  Pakistani, Halal, Vegetarian, Himalayan/Nepale...       89119   \n",
       "190603  Food Trucks, Breakfast & Brunch, Cafes, Food, ...       89123   \n",
       "190627                              Restaurants, Barbeque       89147   \n",
       "190731                    Restaurants, Breakfast & Brunch       89117   \n",
       "190863  Breakfast & Brunch, American (Traditional), Bu...       89121   \n",
       "190880  Bars, Restaurants, Tex-Mex, Fast Food, Nightli...       89109   \n",
       "190944  Specialty Food, Food, Mediterranean, Ethnic Fo...       89103   \n",
       "190946                    Fast Food, Mexican, Restaurants       89128   \n",
       "191019  Mediterranean, Middle Eastern, Persian/Iranian...       89123   \n",
       "191032  Breakfast & Brunch, Sandwiches, Burgers, Resta...       89102   \n",
       "191065                       Japanese, Restaurants, Ramen       89146   \n",
       "191152  Restaurants, American (New), Food, American (T...       89109   \n",
       "191258  Restaurants, Bars, Lounges, Nightlife, America...       89109   \n",
       "191544  Event Planning & Services, Steakhouses, Arts &...       89109   \n",
       "191626  Imported Food, Ethnic Food, Specialty Food, Fo...       89123   \n",
       "191632  Diners, Nightlife, Restaurants, Bars, Social C...       89109   \n",
       "191729  Fast Food, Restaurants, Salad, Chicken Wings, ...       89120   \n",
       "191796      Restaurants, Japanese, Food, Poke, Sushi Bars       89134   \n",
       "192050  Asian Fusion, Seafood, Bars, Nightlife, Restau...       89109   \n",
       "192057  Nightlife, Cocktail Bars, Restaurants, Bars, M...       89109   \n",
       "192105                              Filipino, Restaurants       89109   \n",
       "192204  Restaurants, Sushi Bars, Japanese, Food, Ramen...       89103   \n",
       "192212  Department Stores, Food, Mobile Phones, Drugst...       89121   \n",
       "192444  Food, Bakeries, Desserts, Breakfast & Brunch, ...       89147   \n",
       "192456  Mediterranean, Caterers, Event Planning & Serv...       89149   \n",
       "192458  Sandwiches, Pizza, Chicken Wings, Italian, Res...       89102   \n",
       "192475  Sandwiches, Cafes, Pizza, Vegetarian, Gluten-F...       89123   \n",
       "192562  Farmers Market, Caterers, Food, Street Vendors...       89118   \n",
       "192598                                 Food, Coffee & Tea       89123   \n",
       "\n",
       "        review_count  stars  \n",
       "25               184    4.5  \n",
       "174              535    3.5  \n",
       "176              287    3.0  \n",
       "494              303    3.5  \n",
       "542              115    3.5  \n",
       "693              296    3.5  \n",
       "718              101    4.0  \n",
       "1095             292    3.5  \n",
       "1166             106    3.0  \n",
       "1413             244    3.0  \n",
       "1501             150    3.5  \n",
       "1560             402    3.5  \n",
       "1565             102    3.5  \n",
       "1632             168    2.0  \n",
       "1744             481    4.0  \n",
       "1846             334    4.0  \n",
       "1969             260    4.5  \n",
       "1975            4227    3.5  \n",
       "2061             550    2.0  \n",
       "2176             544    3.5  \n",
       "2187             218    2.5  \n",
       "2347             150    4.0  \n",
       "2377            1090    3.5  \n",
       "2459             490    4.0  \n",
       "2482             165    3.0  \n",
       "2540             175    4.5  \n",
       "2640            3499    4.0  \n",
       "2715             445    3.5  \n",
       "2879             165    3.5  \n",
       "2895             351    4.0  \n",
       "...              ...    ...  \n",
       "190468           932    4.0  \n",
       "190541          1071    4.0  \n",
       "190603          1076    4.5  \n",
       "190627           105    3.5  \n",
       "190731           415    4.5  \n",
       "190863           135    4.5  \n",
       "190880           105    3.0  \n",
       "190944           169    4.5  \n",
       "190946           135    3.0  \n",
       "191019           252    4.0  \n",
       "191032          3300    4.5  \n",
       "191065           525    4.5  \n",
       "191152          1193    4.0  \n",
       "191258           159    3.5  \n",
       "191544           140    3.5  \n",
       "191626           150    4.5  \n",
       "191632           908    4.0  \n",
       "191729           173    4.5  \n",
       "191796           252    4.0  \n",
       "192050           514    4.0  \n",
       "192057           467    2.5  \n",
       "192105           127    3.5  \n",
       "192204           102    4.0  \n",
       "192212           102    3.0  \n",
       "192444           464    4.5  \n",
       "192456           572    4.0  \n",
       "192458           576    4.0  \n",
       "192475           704    4.0  \n",
       "192562           595    4.5  \n",
       "192598           138    3.0  \n",
       "\n",
       "[2593 rows x 4 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_final = df_vegas[(df_vegas['review_count'] >= 100)]\n",
    "df_final = df_final.dropna()\n",
    "df_final\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Visualization"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Figure 1: Histogram of the star ratings in our final dataframe. It is left-skewed, with the peak being around 4 stars. As restaurants with a lower star rating are outliers in this distribution, this indicates that most restaurants that are still in business have a star rating close to 4 stars. This affirms that running a successful restaurant business is positively correlated with the restaurant’s star rating. Restaurants with a star rating of around of above 4 stars will tend to be more successful. This supports our choice of 89120 as the zip code with the most successful restaurant businesses, as it has an average star rating of 4.06, which is above 4 stars."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Figure 1: Histogram Distribution of Star Ratings')"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(df_final['stars'], bins = 8)\n",
    "plt.xlabel('Stars')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Figure 1: Histogram Distribution of Star Ratings')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Figure 2: The regression of stars on review count shows that there is a positive correlation between the number of reviews and the rating of the restaurant. This supports our decision to factor in the number of reviews for a restaurant into our assessment of which is the best zip code to establish a restaurant business. Hence, by selecting only restaurants that have 100 or more reviews, we are increasingly the likelihood of us settling on a zip code with the best success, and reviews and ratings work in conjecture to support our claim for what the best zip code is."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Figure 2: Scatter Plot for Reviews and Ratings')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "slope, intercept = np.polyfit(df_final['review_count'], df_final['stars'], 1)\n",
    "pred_stars = slope * np.arange(max(df_final['review_count'])) + intercept\n",
    "plt.scatter(df_final['review_count'], df_final['stars'], s = 5)\n",
    "plt.plot(np.arange(max(df_final['review_count'])), pred_stars, 'r')\n",
    "plt.xlabel('Reviews')\n",
    "plt.ylabel('Stars')\n",
    "plt.title('Figure 2: Scatter Plot for Reviews and Ratings')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Below is a word frequency visualization of the categories found in the 89120 zip code. We will use a WordCloud from https://github.com/kavgan/word_cloud to generate a word cloud of the categories of restaurants in our zip code 89120. The code below is not our own and belongs to the Github user kavgan:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div align='center' style='width:100%'><div align='center' style='text-align:justify; border-radius: 25px;background: #fff7f7;overflow: auto; width:500px !important; padding:20px; '; text-align: center; word-wrap: break-word;> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>hawaiian&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>middle&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>fast&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>brazilian&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>wings&nbsp;</span> <span style='color:#ACB02E;font-size:2.1499999999999995em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>salad&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>eastern&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>mongolian&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>spirits&nbsp;</span> <span style='color:#ACB02E;font-size:2.1499999999999995em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>mediterranean&nbsp;</span> <span style='color:#ACB02E;font-size:2.1499999999999995em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>coffee&nbsp;</span> <span style='color:#5882FA;font-size:2.749999999999999em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>food&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>roasteries&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>rooms&nbsp;</span> <span style='color:#5882FA;font-size:2.749999999999999em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>chinese&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>fusion&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>cuisine&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>barbeque&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>delis&nbsp;</span> <span style='color:#5882FA;font-size:2.749999999999999em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>breakfast&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>wine&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>traditional&nbsp;</span> <span style='color:#ACB02E;font-size:2.1499999999999995em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>burgers&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>soup&nbsp;</span> <span style='color:#5882FA;font-size:2.749999999999999em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>bars&nbsp;</span> <span style='color:#5882FA;font-size:2.749999999999999em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>brunch&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>hookah&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>new&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>sushi&nbsp;</span> <span style='color:#ACB02E;font-size:2.1499999999999995em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>thai&nbsp;</span> <span style='color:#b82c2c;font-size:3.4999999999999987em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>vegan&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>japanese&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>nightlife&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>chicken&nbsp;</span> <span style='color:#b82c2c;font-size:3.4999999999999987em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>mexican&nbsp;</span> <span style='color:#ACB02E;font-size:2.1499999999999995em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>tea&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>sandwiches&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>halal&nbsp;</span> <span style='color:#5882FA;font-size:2.749999999999999em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>vegetarian&nbsp;</span> <span style='color:#FF5733;font-size:1.25em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>beer&nbsp;</span></div></div>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class WordCloud:\n",
    "\n",
    "    def __init__(self, stopwords=[], use_tfidf=False):\n",
    "\n",
    "        self.use_tfidf = use_tfidf\n",
    "        self.data = []\n",
    "        self.color_choices = ['#b82c2c',\n",
    "                              '#a55571',\n",
    "                              '#bc72d0',\n",
    "                              '#8000FF',\n",
    "                              '#3498DB',\n",
    "                              '#FF5733',\n",
    "                              '#223AE6',\n",
    "                              '#2ECC71',\n",
    "                              '#5F6A6A',\n",
    "                              '#6C22E6',\n",
    "                              '#CE22E6',\n",
    "                              '#ACB02E',\n",
    "                              '#B18904',\n",
    "                              '#848484',\n",
    "                              '#04B404',\n",
    "                              '#5882FA',\n",
    "                              '#FF0080',\n",
    "                              '#0489B1',\n",
    "                              '#FA5858',\n",
    "                              '#DBA901',\n",
    "                              '#00b4ff',\n",
    "                              '#008080',\n",
    "                              '#003366',\n",
    "                              '#725394'\n",
    "                              ]\n",
    "        self.color_choices = ['#b82c2c',\n",
    "                              '#a55571',\n",
    "                              '#bc72d0',\n",
    "                              '#8000FF',\n",
    "                              '#3498DB',\n",
    "                              '#FF5733',\n",
    "                              '#223AE6',\n",
    "                              '#2ECC71',\n",
    "                              '#5F6A6A',\n",
    "                              '#6C22E6',\n",
    "                              '#CE22E6',\n",
    "                              '#ACB02E',\n",
    "                              '#B18904',\n",
    "                              '#848484',\n",
    "                              '#04B404',\n",
    "                              '#5882FA',\n",
    "                              '#FF0080',\n",
    "                              '#0489B1',\n",
    "                              '#FA5858',\n",
    "                              '#DBA901',\n",
    "                              '#00b4ff',\n",
    "                              '#008080',\n",
    "                              '#003366',\n",
    "                              '#725394'\n",
    "                              ]\n",
    "\n",
    "        # load a set of stop words\n",
    "        self.stopwords = stopwords\n",
    "\n",
    "    def get_color_code(self, score):\n",
    "        \"\"\"Get the appropriate color codes.\"\"\"\n",
    "\n",
    "        step = 0.05\n",
    "        current_incremented_score = 0\n",
    "        idx = 0\n",
    "\n",
    "        while current_incremented_score < 1:\n",
    "            if score <= current_incremented_score:\n",
    "                return self.color_choices[idx]\n",
    "            idx += 1\n",
    "            current_incremented_score = current_incremented_score + step\n",
    "\n",
    "        return self.color_choices[0]\n",
    "\n",
    "\n",
    "    def get_font_size(self, score: float):\n",
    "        \"\"\"Increment scale until score almost equals current_incremented_score.\"\"\"\n",
    "\n",
    "        # font size start and increment\n",
    "        scale = 0.5\n",
    "        max_scale = 2.5\n",
    "        scale_step = 0.15\n",
    "\n",
    "        # score increment\n",
    "        score_step = 0.05\n",
    "        current_incremented_score = 0\n",
    "\n",
    "        while current_incremented_score < 1:\n",
    "\n",
    "            # increment scale until score almost equals current_incremented_score\n",
    "            # the larger the score, the more the scale increment\n",
    "            if score <= current_incremented_score:\n",
    "                return scale\n",
    "\n",
    "            current_incremented_score = current_incremented_score + score_step\n",
    "            scale += scale_step\n",
    "\n",
    "            #if scale > max_scale:\n",
    "             #   scale = max_scale\n",
    "\n",
    "        return scale\n",
    "\n",
    "    def get_embed_code(self, text_scores: pd.DataFrame = None, text: list = [], topn=100, random_color=True):\n",
    "\n",
    "        if text_scores is None and len(text) > 0:\n",
    "            items = self.extract_topn_from_vector(text, topn=topn)\n",
    "            text_df = pd.DataFrame(items, columns=['words', 'score'])\n",
    "        elif text_scores is not None:\n",
    "            text_df = text_scores\n",
    "            text_df.columns = ['words', 'score']\n",
    "        else:\n",
    "            logging.error(\n",
    "                \"There is a problem with your input text. Did you provide any?\")\n",
    "            return\n",
    "\n",
    "        if random_color:\n",
    "            random.shuffle(self.color_choices)\n",
    "\n",
    "        word_cloud_items = []\n",
    "\n",
    "        html = [\n",
    "            \"<div align='center' style='width:100%'><div align='center' style='text-align:justify; border-radius: 25px;background: #fff7f7;overflow: auto; width:500px !important; padding:20px; '; text-align: center; word-wrap: break-word;>\"]\n",
    "        for idx, row in text_df.iterrows():\n",
    "            word = row.words.replace(\" \", \"-\")\n",
    "            scale = self.get_font_size(row.score)\n",
    "            color_code = self.get_color_code(row.score)\n",
    "            word_cloud_items.append(\n",
    "                \" <span style='color:{0};font-size:{1}em;white-space: normal;font-family:verdana;display: inline-block;line-height:30px'>{2}&nbsp;</span>\".format(\n",
    "                    color_code, scale, word))\n",
    "\n",
    "        random.shuffle(word_cloud_items)\n",
    "        random.shuffle(word_cloud_items)\n",
    "\n",
    "        html.extend(word_cloud_items)\n",
    "        html.append(\"</div></div>\")\n",
    "        return ''.join(html)\n",
    "\n",
    "    def sort_coo(self, coo_matrix):\n",
    "        tuples = zip(coo_matrix.col, coo_matrix.data)\n",
    "        return sorted(tuples, key=lambda x: (x[1], x[0]), reverse=True)\n",
    "\n",
    "\n",
    "    def get_ranks(self,word_vector):\n",
    "        \"\"\"Get normalized tf.\"\"\"\n",
    "\n",
    "        max = np.max(word_vector)\n",
    "\n",
    "        # normalize raw counts\n",
    "        word_count_vector = np.multiply(word_vector, 1/(max))\n",
    "\n",
    "        return word_count_vector\n",
    "\n",
    "    def get_normalized_tf(self, cv: CountVectorizer, text: list):\n",
    "        \"\"\"Get normalized tf.\"\"\"\n",
    "\n",
    "        big_text = ' '.join(text)\n",
    "        word_count_vector = cv.fit_transform([big_text])\n",
    "        max = np.max(word_count_vector)\n",
    "\n",
    "        # normalize raw counts\n",
    "        word_count_vector = np.multiply(word_count_vector, 1/(max))\n",
    "\n",
    "        return word_count_vector\n",
    "\n",
    "    def get_tfidf_scores(self, cv: CountVectorizer, text: list):\n",
    "        \"\"\"Get tfidf values.\"\"\"\n",
    "\n",
    "        word_count_vector = cv.fit_transform(text)\n",
    "\n",
    "        big_text = ' '.join(text)\n",
    "\n",
    "        # compute word scores\n",
    "        tfidf_transformer = TfidfTransformer(\n",
    "            smooth_idf=False, use_idf=True, norm='l2')\n",
    "        tfidf_transformer.fit(word_count_vector)\n",
    "        tf_idf_vector = tfidf_transformer.transform(cv.transform([big_text]))\n",
    "\n",
    "        return tf_idf_vector\n",
    "\n",
    "    def extract_topn_from_vector(self, text: list, topn=10):\n",
    "        \"\"\"Extract keywords based on tf-idf score.\"\"\"\n",
    "\n",
    "        # get word count\n",
    "        cv = CountVectorizer(stop_words=self.stopwords)\n",
    "\n",
    "        word_scores_vector = None\n",
    "        if self.use_tfidf:\n",
    "            word_scores_vector = self.get_tfidf_scores(cv, text)\n",
    "        else:\n",
    "            word_scores_vector = self.get_normalized_tf(cv, text)\n",
    "\n",
    "        #word_scores_vector=self.get_ranks(word_scores_vector)\n",
    "\n",
    "        # sort the tf-idf vectors by descending order of scores\n",
    "        sorted_items = self.sort_coo(word_scores_vector.tocoo())\n",
    "        sorted_items = sorted_items[:topn]\n",
    "\n",
    "\n",
    "\n",
    "        final_items = []\n",
    "\n",
    "        # word index and corresponding tf-idf score\n",
    "        for idx, score in sorted_items:\n",
    "            final_items.append([cv.get_feature_names()[idx], score])\n",
    "\n",
    "        return final_items\n",
    "\n",
    "categories_list = [category for category in df_89120['categories']]\n",
    "categories_list_split = []\n",
    "for category in categories_list:\n",
    "    split_list = category.split(',')\n",
    "    for word in split_list:\n",
    "        if word.strip() != 'Restaurants':\n",
    "            categories_list_split.append(word.strip())\n",
    "categories_list_split\n",
    "\n",
    "wc = WordCloud(use_tfidf = False)\n",
    "\n",
    "embed_code = wc.get_embed_code(text = categories_list_split, random_color = False, topn = 40)\n",
    "HTML(embed_code)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Figure 3: From the above word cloud, we can see that the most popular restaurant categories in the zip code 89120 are Vegan and Vegetarian, Brunch & Breakfast, Mexican, and Chinese."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data Analysis & Results"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We want to determine the best location to set up a successful restaurant business in Las Vegas, and we are determining this based on zip code. Therefore, we will calculate the mean star rating for restaurants in each zip code in Las Vegas. The first step of this process is to determine what the unique zip codes in this data set are."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "54"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zip_codes = [code for code in df_final['postal_code']]\n",
    "zip_codes_unique = []\n",
    "for code in zip_codes:\n",
    "    if code not in zip_codes_unique:\n",
    "        zip_codes_unique.append(code)\n",
    "zip_codes_unique.sort()\n",
    "zip_codes_unique\n",
    "\n",
    "len(zip_codes_unique)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have just created a list of all the zip codes in Las Vegas that appear in our cleaned dataframe, and we have found that there are 54 unique zip codes that we are working with. We will now find the average star rating for restaurants in each zip code. We will do this by creating a dictionary with each unique zip code as a key, and the star ratings for each restaurant in that zip code as its key values."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
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       "  4.5,\n",
       "  4.5],\n",
       " '89118': [3.5,\n",
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       " '89120': [4.0,\n",
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       " '89121': [3.5,\n",
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       " '89122': [3.0, 3.0, 4.0, 4.0, 3.5, 3.0, 3.0, 4.0, 3.5, 3.5],\n",
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       "  3.5,\n",
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       " '89136': [4.0, 4.0, 4.0, 4.0, 3.5, 3.5, 3.5, 3.5, 2.0, 3.5, 3.0],\n",
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       "  4.5],\n",
       " '89149': [4.0,\n",
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       "  4.0,\n",
       "  3.0,\n",
       "  3.0,\n",
       "  4.0],\n",
       " '89150': [3.0],\n",
       " '89152': [4.0, 4.0],\n",
       " '89156': [4.5],\n",
       " '89158': [4.0, 4.5, 4.5, 3.5, 4.0, 4.0, 3.5, 4.0, 3.5, 4.0, 4.5, 3.0],\n",
       " '89166': [3.5, 4.0],\n",
       " '89169': [3.5,\n",
       "  4.5,\n",
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       "  4.0,\n",
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       "  3.0,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  4.0],\n",
       " '89178': [3.0, 3.5, 2.0, 5.0, 4.5, 3.5, 3.0, 4.0, 4.0],\n",
       " '89179': [4.0],\n",
       " '89183': [3.5,\n",
       "  4.5,\n",
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       "  4.5,\n",
       "  3.5,\n",
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       "  3.5,\n",
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       "  4.0,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  5.0,\n",
       "  3.0,\n",
       "  3.5,\n",
       "  3.0,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  5.0,\n",
       "  3.0,\n",
       "  4.0,\n",
       "  4.0],\n",
       " '89199': [3.5]}"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zip_dict = {}\n",
    "for code in zip_codes_unique:\n",
    "    zip_dict[code] = []\n",
    "for i in range(len(df_final)):\n",
    "    zip_dict[[postal for postal in df_final.iloc[[i]]['postal_code']][0]].append([rating for rating in df_final.iloc[[i]]['stars']][0])\n",
    "zip_dict"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We want to find the zip code that has the best star rating. However, if a zip code only has one restaurant and that restaurant has the highest star rating amongst all the restaurants in our data set, then we would end up selecting a zip code with only one restaurant. However, we want a zip code with multiple restaurants and multiple categories, as this is in line with our project goal.\n",
    "Therefore, we first find the average number of restaurants per zip code in our dictionary. This will be our benchmark for the minimum number of restaurants that our selected zip code must have.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.0"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "count = 0\n",
    "for zip_code in zip_dict:\n",
    "    for restaurant in zip_code:\n",
    "        count += 1\n",
    "avg_restaurants_per_zip = count / len(zip_dict)\n",
    "avg_restaurants_per_zip\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We have found that the average number of restaurants per zip code is 5. Therefore, we will filter out all zip codes that have less than 5 restaurants by making a final zip code dictionary with only zip codes that have 5 or more restaurants.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
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       " '89110': [3.0, 4.5, 4.5, 3.0, 3.0, 4.0, 4.5, 3.0, 4.0],\n",
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       " '89115': [4.5, 3.5, 2.5, 4.0, 4.5, 3.0],\n",
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       " '89120': [4.0,\n",
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       " '89121': [3.5,\n",
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       " '89122': [3.0, 3.0, 4.0, 4.0, 3.5, 3.0, 3.0, 4.0, 3.5, 3.5],\n",
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       "  4.0,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  4.5,\n",
       "  3.0,\n",
       "  3.5,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  2.0,\n",
       "  2.5,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  4.5],\n",
       " '89148': [4.5,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  3.5,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  3.5,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  3.0,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  2.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  2.0,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  3.0,\n",
       "  4.0,\n",
       "  2.5,\n",
       "  3.5,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  2.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  3.0,\n",
       "  4.5],\n",
       " '89149': [4.0,\n",
       "  4.0,\n",
       "  3.0,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  2.5,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  3.0,\n",
       "  4.0,\n",
       "  3.0,\n",
       "  3.0,\n",
       "  3.5,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  2.5,\n",
       "  4.0,\n",
       "  3.5,\n",
       "  3.0,\n",
       "  3.0,\n",
       "  3.5,\n",
       "  3.0,\n",
       "  3.5,\n",
       "  3.5,\n",
       "  3.5,\n",
       "  2.5,\n",
       "  4.0,\n",
       "  3.0,\n",
       "  2.0,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  3.0,\n",
       "  3.0,\n",
       "  4.0,\n",
       "  3.0,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  3.0,\n",
       "  3.5,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  3.0,\n",
       "  3.5,\n",
       "  4.5,\n",
       "  2.5,\n",
       "  5.0,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  3.5,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  3.0,\n",
       "  3.0,\n",
       "  4.0],\n",
       " '89158': [4.0, 4.5, 4.5, 3.5, 4.0, 4.0, 3.5, 4.0, 3.5, 4.0, 4.5, 3.0],\n",
       " '89169': [3.5,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  2.5,\n",
       "  4.0,\n",
       "  2.5,\n",
       "  3.5,\n",
       "  3.5,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  3.0,\n",
       "  3.5,\n",
       "  3.5,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  2.5,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  3.0,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  3.5,\n",
       "  3.0,\n",
       "  2.5,\n",
       "  4.5,\n",
       "  2.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  3.0,\n",
       "  3.5,\n",
       "  3.0,\n",
       "  4.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  4.0],\n",
       " '89178': [3.0, 3.5, 2.0, 5.0, 4.5, 3.5, 3.0, 4.0, 4.0],\n",
       " '89183': [3.5,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  3.5,\n",
       "  3.5,\n",
       "  5.0,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  2.5,\n",
       "  3.5,\n",
       "  3.5,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  4.5,\n",
       "  2.5,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  3.5,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  5.0,\n",
       "  3.0,\n",
       "  3.5,\n",
       "  3.0,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  4.5,\n",
       "  3.5,\n",
       "  4.0,\n",
       "  4.0,\n",
       "  5.0,\n",
       "  3.0,\n",
       "  4.0,\n",
       "  4.0]}"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "zip_dict_final = {}\n",
    "for code in zip_codes_unique:\n",
    "    if len(zip_dict[code]) >= avg_restaurants_per_zip:\n",
    "        zip_dict_final[code] = zip_dict[code]\n",
    "zip_dict_final\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To finalize our dictionary, will convert the key values into the average star rating for each zip code so that we have a dictionary with each zip code and its average star rating."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'89101': 3.8916666666666666,\n",
       " '89102': 3.8216560509554141,\n",
       " '89103': 3.657142857142857,\n",
       " '89104': 3.9150943396226414,\n",
       " '89106': 4.0,\n",
       " '89107': 3.8214285714285716,\n",
       " '89108': 3.6000000000000001,\n",
       " '89109': 3.5747572815533979,\n",
       " '89110': 3.7222222222222223,\n",
       " '89113': 3.6692307692307691,\n",
       " '89115': 3.6666666666666665,\n",
       " '89117': 3.8389830508474576,\n",
       " '89118': 3.8536585365853657,\n",
       " '89119': 3.6620111731843576,\n",
       " '89120': 4.0588235294117645,\n",
       " '89121': 3.9399999999999999,\n",
       " '89122': 3.4500000000000002,\n",
       " '89123': 3.8333333333333335,\n",
       " '89128': 3.8833333333333333,\n",
       " '89129': 3.8541666666666665,\n",
       " '89130': 3.7777777777777777,\n",
       " '89131': 3.6666666666666665,\n",
       " '89134': 3.8999999999999999,\n",
       " '89135': 3.5746268656716418,\n",
       " '89136': 3.5,\n",
       " '89139': 3.86046511627907,\n",
       " '89141': 3.4166666666666665,\n",
       " '89145': 3.7857142857142856,\n",
       " '89146': 4.0446428571428568,\n",
       " '89147': 3.9375,\n",
       " '89148': 3.9626865671641789,\n",
       " '89149': 3.609375,\n",
       " '89158': 3.9166666666666665,\n",
       " '89169': 3.8235294117647061,\n",
       " '89178': 3.6111111111111112,\n",
       " '89183': 3.8979591836734695}"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "for code in zip_dict_final:\n",
    "    zip_dict_final[code] = np.mean(zip_dict_final[code])\n",
    "zip_dict_final\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have our finalized zip code dictionary, we will find the best star rating amongst all the zip codes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "4.0588235294117645"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_rating = 0\n",
    "for code in zip_dict_final:\n",
    "    if zip_dict_final[code] > best_rating:\n",
    "        best_rating = zip_dict_final[code]\n",
    "best_rating\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The best rating that we have found rounds to 4.06. Now that we have this rating, we will find all the zip codes that have this rating, and add them to a list."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['89120']"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "best_zip_codes = []\n",
    "for code in zip_dict_final:\n",
    "    if zip_dict_final[code] == best_rating:\n",
    "        best_zip_codes.append(code)\n",
    "best_zip_codes\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This list only contains one zip code: 89120. Therefore, this is the zip code that we have identified as being the best zip code for a restaurant owner to set up their new business. For convenience, we will make a new dataframe with only restaurants in this zip code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>categories</th>\n",
       "      <th>postal_code</th>\n",
       "      <th>review_count</th>\n",
       "      <th>stars</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>17755</th>\n",
       "      <td>Mediterranean, Vegan, Restaurants, Vegetarian</td>\n",
       "      <td>89120</td>\n",
       "      <td>446</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44571</th>\n",
       "      <td>Burgers, Restaurants, Breakfast &amp; Brunch, Braz...</td>\n",
       "      <td>89120</td>\n",
       "      <td>1748</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52504</th>\n",
       "      <td>New Mexican Cuisine, Restaurants</td>\n",
       "      <td>89120</td>\n",
       "      <td>275</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57933</th>\n",
       "      <td>Mexican, Restaurants</td>\n",
       "      <td>89120</td>\n",
       "      <td>235</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62652</th>\n",
       "      <td>Soup, Chinese, Restaurants, Salad</td>\n",
       "      <td>89120</td>\n",
       "      <td>121</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65775</th>\n",
       "      <td>Restaurants, Barbeque, Hawaiian</td>\n",
       "      <td>89120</td>\n",
       "      <td>103</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>83510</th>\n",
       "      <td>Restaurants, Sushi Bars, Japanese</td>\n",
       "      <td>89120</td>\n",
       "      <td>498</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84831</th>\n",
       "      <td>Restaurants, Breakfast &amp; Brunch, Mexican</td>\n",
       "      <td>89120</td>\n",
       "      <td>151</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85318</th>\n",
       "      <td>Vegan, Restaurants, Vegetarian, Thai</td>\n",
       "      <td>89120</td>\n",
       "      <td>248</td>\n",
       "      <td>3.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94332</th>\n",
       "      <td>Coffee Roasteries, Vegan, Restaurants, Tea Roo...</td>\n",
       "      <td>89120</td>\n",
       "      <td>1095</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100830</th>\n",
       "      <td>Nightlife, Mediterranean, Bars, Middle Eastern...</td>\n",
       "      <td>89120</td>\n",
       "      <td>240</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102394</th>\n",
       "      <td>Restaurants, Mexican</td>\n",
       "      <td>89120</td>\n",
       "      <td>237</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136565</th>\n",
       "      <td>Restaurants, Chinese</td>\n",
       "      <td>89120</td>\n",
       "      <td>221</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141757</th>\n",
       "      <td>Breakfast &amp; Brunch, Delis, Restaurants, Sandwi...</td>\n",
       "      <td>89120</td>\n",
       "      <td>100</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142317</th>\n",
       "      <td>Asian Fusion, Restaurants, Mongolian, Chinese</td>\n",
       "      <td>89120</td>\n",
       "      <td>233</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>187242</th>\n",
       "      <td>Beer, Wine &amp; Spirits, Vegan, Food, Thai, Resta...</td>\n",
       "      <td>89120</td>\n",
       "      <td>498</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191729</th>\n",
       "      <td>Fast Food, Restaurants, Salad, Chicken Wings, ...</td>\n",
       "      <td>89120</td>\n",
       "      <td>173</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               categories postal_code  \\\n",
       "17755       Mediterranean, Vegan, Restaurants, Vegetarian       89120   \n",
       "44571   Burgers, Restaurants, Breakfast & Brunch, Braz...       89120   \n",
       "52504                    New Mexican Cuisine, Restaurants       89120   \n",
       "57933                                Mexican, Restaurants       89120   \n",
       "62652                   Soup, Chinese, Restaurants, Salad       89120   \n",
       "65775                     Restaurants, Barbeque, Hawaiian       89120   \n",
       "83510                   Restaurants, Sushi Bars, Japanese       89120   \n",
       "84831            Restaurants, Breakfast & Brunch, Mexican       89120   \n",
       "85318                Vegan, Restaurants, Vegetarian, Thai       89120   \n",
       "94332   Coffee Roasteries, Vegan, Restaurants, Tea Roo...       89120   \n",
       "100830  Nightlife, Mediterranean, Bars, Middle Eastern...       89120   \n",
       "102394                               Restaurants, Mexican       89120   \n",
       "136565                               Restaurants, Chinese       89120   \n",
       "141757  Breakfast & Brunch, Delis, Restaurants, Sandwi...       89120   \n",
       "142317      Asian Fusion, Restaurants, Mongolian, Chinese       89120   \n",
       "187242  Beer, Wine & Spirits, Vegan, Food, Thai, Resta...       89120   \n",
       "191729  Fast Food, Restaurants, Salad, Chicken Wings, ...       89120   \n",
       "\n",
       "        review_count  stars  \n",
       "17755            446    4.0  \n",
       "44571           1748    4.5  \n",
       "52504            275    4.0  \n",
       "57933            235    4.0  \n",
       "62652            121    3.5  \n",
       "65775            103    3.5  \n",
       "83510            498    4.0  \n",
       "84831            151    4.5  \n",
       "85318            248    3.5  \n",
       "94332           1095    4.5  \n",
       "100830           240    4.0  \n",
       "102394           237    4.0  \n",
       "136565           221    4.0  \n",
       "141757           100    4.0  \n",
       "142317           233    4.0  \n",
       "187242           498    4.5  \n",
       "191729           173    4.5  "
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_89120 = df_final[(df_final['postal_code'] == '89120')]\n",
    "df_89120\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we have our restaurants, we want to identify the top four most popular categories amongst these restaurants."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'American (Traditional)': 1,\n",
       " 'Asian Fusion': 1,\n",
       " 'Bakeries': 1,\n",
       " 'Barbeque': 1,\n",
       " 'Bars': 1,\n",
       " 'Beer': 1,\n",
       " 'Brazilian': 1,\n",
       " 'Breakfast & Brunch': 3,\n",
       " 'Burgers': 2,\n",
       " 'Chicken Wings': 1,\n",
       " 'Chinese': 3,\n",
       " 'Coffee & Tea': 1,\n",
       " 'Coffee Roasteries': 1,\n",
       " 'Delis': 1,\n",
       " 'Fast Food': 1,\n",
       " 'Food': 2,\n",
       " 'Halal': 1,\n",
       " 'Hawaiian': 1,\n",
       " 'Hookah Bars': 1,\n",
       " 'Japanese': 1,\n",
       " 'Mediterranean': 2,\n",
       " 'Mexican': 3,\n",
       " 'Middle Eastern': 1,\n",
       " 'Mongolian': 1,\n",
       " 'New Mexican Cuisine': 1,\n",
       " 'Nightlife': 1,\n",
       " 'Restaurants': 17,\n",
       " 'Salad': 2,\n",
       " 'Sandwiches': 1,\n",
       " 'Soup': 1,\n",
       " 'Sushi Bars': 1,\n",
       " 'Tea Rooms': 1,\n",
       " 'Thai': 2,\n",
       " 'Vegan': 4,\n",
       " 'Vegetarian': 3,\n",
       " 'Wine & Spirits': 1}"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "categories_dict = {}\n",
    "categories_list = [category for category in df_89120['categories']]\n",
    "for category in categories_list:\n",
    "    for word in category.split(','):\n",
    "        if word.strip() not in categories_dict:\n",
    "            categories_dict[word.strip()] = 1\n",
    "        else:\n",
    "            categories_dict[word.strip()] += 1\n",
    "categories_dict\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As the word cloud graph(figure 3) shows above, we have found that the top four most popular categories are Vegetarian/Vegan, Breakfast & Brunch,  Chinese, and Mexican. With this information, we can suggest to a new restaurant owner that in order to have a successful business, they should set up their restaurant in the zip code 89120, and consider having the restaurant be of one of the above four categories.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Ethics & Privacy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The Yelp Dataset from 2013 was publicly released for use in personal, educational, and academic purposes. It was also publicized as part of a challenge to give students a change to conduct research and analysis, and share their discoveries. As a source of public data used in a variety of projects and explorations, there should be a low risk of skewed data and biases. \n",
    "Some concerns that may arise is that fact that we have access to users’ preferences as to where they like to eat and the businesses that value. To avoid any ethical conflict, we decided to clean all user information from our dataset and only retain business information and ratings/reviews.  If we were to have used user data however, this should not be an ethical concern as users of Yelp have already created an account and have voluntarily written and published reviews that they encourage others to use. This data was collected with informed consent from Yelp.\n",
    "\n",
    "Another concern may be the impact our project may have on existing restaurants. In our hypothesis we had concluded that opening a new restaurant near similar categories of restaurants would help a business be successful. One of the reasons for this is that the customers that may come to the area to eat at the successful old businesses might be deterred by long lines, and choose to eat at the similar category new restaurant instead; or they might be enticed by the new restaurant and eat there since they were already looking forward to eating that type of cuisine anyways. Since we are encouraging new business owners to set up shop next to similar, older, and successful restaurants, these new restaurants may take away from the older restaurant’s customer base. The old restaurants may lose customers and business. Although this is an unintentional effect in our endeavour to assist new business owners in finding an optimal location, we hope that the increased traffic to the area will also boost overall business growth, and not impact the older restaurants negatively. \n",
    "\n",
    "Other concerns that may be considered could be the decrease in diverse businesses in the efforts of producing lucrative businesses. Our hypothesis encourages building restaurants of similar types and in popular locations. This may hinder the growth of new types of restaurants, as well as widen the gap between popular locations and less popular locations. \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Conclusion & Discussion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After our data visualization and analyzing, we reach the conclusion. If one future business holder wants to open a restaurant in Las Vegas, they should open that restaurant in the area with zip code 89120. To make the business more likely to be successful, we suggest opening a restaurant which includes at least one of the following categories: vegan/vegetarian, breakfast/brunch, Chinese, Mexican.\n",
    "\n",
    "In our project, we used the public business dataset provided by yelp for analyzing. From this dataset, we tried to find out where and what kind of restaurant the future business holder should open in Las Vegas to better achieve success. To do so, we used the dataset and grab the data about restaurant in Las Vegas. We only consider restaurants with more than 100 reviews because the star ratings of restaurant with limited rating is not reliable enough for our analyze.\n",
    "\n",
    "Then we look deeper into the relationship between zip code and the current degree of popularity of the existing restaurant. Based on our hypothesis, we want to find a region that already has enough restaurant gathering. So we make a cut off with the average restaurant per zip code to avoid low restaurant density area. By analyzing the number of reviews and star ratings among all remaining zip codes, we found out zip code 89120 is the best location for a new restaurant. \n",
    "\n",
    "We also want to give more suggestion than location. By the research results we found earlier, restaurants that serve similar food as their neighbors are more likely to survive longer. Thus, we look at the categories of the restaurant in zip code 89120. Finally we reach the conclusion that to become a successful restaurant holder in Las Vegas, one should open a restaurant of at least one of these categories: vegan/vegetarian, breakfast/brunch, Chinese, Mexican, in an area with zip code 89120.\n",
    "\n",
    "The limitation for our project is that the dataset provided by yelp is not very complete. By searching some areas manually on google map, we see there’s more restaurant than what yelp had recorded. The incompleteness of the dataset can make our conclusion less convincing. Also, in Las Vegas, there are many entertaining business. Currently, we are only taking in count other restaurants impact on our new restaurant. For further exploring, we can examine other business(casino, night club, bar, etc)’s impact on a new opening restaurant. \n",
    " Our work can be applied to other areas than Las Vegas. By applying our method, future business holder can more easily achieve a profitable and successful business. In general, by avoiding failing a business due to bad location, it can increase the life time of business overall.\n",
    "\n",
    " \n"
   ]
  }
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