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sjn920/DS0103EN-Exercise-From-Understanding-to-Preparation.ipynb

Created May 10, 2021 15:24
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DS0103EN-Exercise-From-Understanding-to-Preparation.ipynb
{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"<a href=\"https://cognitiveclass.ai\"><img src = \"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0103EN-SkillsNetwork/labs/Module%203/images/IDSNlogo.png\" width = 400> </a>\n",
"\n",
"# From Understanding to Preparation\n",
"\n",
"Estimated time needed: **20** minutes\n",
"\n",
"## Objectives\n",
"\n",
"After completing this lab you will be able to:\n",
"\n",
"- Understand Data \n",
"- Prepare Data for analysis and inference\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"## Introduction\n",
"\n",
"In this lab, we will continue learning about the data science methodology, and focus on the **Data Understanding** and the **Data Preparation** stages.\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"## Table of Contents\n",
"\n",
"<div class=\"alert alert-block alert-info\" style=\"margin-top: 20px\">\n",
" \n",
"1. [Recap](#0)<br>\n",
"2. [Data Understanding](#2)<br>\n",
"3. [Data Preparation](#4)<br>\n",
"</div>\n",
"<hr>\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"# Recap <a id=\"0\"></a>\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"In Lab **From Requirements to Collection**, we learned that the data we need to answer the question developed in the business understanding stage, namely _can we automate the process of determining the cuisine of a given recipe?_, is readily available. A researcher named Yong-Yeol Ahn scraped tens of thousands of food recipes (cuisines and ingredients) from three different websites, namely:\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"<img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0103EN-SkillsNetwork/labs/Module%202/images/lab2_fig3_allrecipes.png\" width=500>\n",
"<div align=\"center\">\n",
"www.allrecipes.com\n",
"</div>\n",
"<br/><br/>\n",
"<img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0103EN-SkillsNetwork/labs/Module%202/images/lab2_fig4_epicurious.png\" width=500>\n",
"<div align=\"center\">\n",
"www.epicurious.com\n",
"</div>\n",
"<br/><br/>\n",
"<img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0103EN-SkillsNetwork/labs/Module%202/images/lab2_fig5_menupan.png\" width=500>\n",
"<div align=\"center\">\n",
"www.menupan.com\n",
"</div>\n",
"<br/><br/>\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"For more information on Yong-Yeol Ahn and his research, you can read his paper on [Flavor Network and the Principles of Food Pairing](http://yongyeol.com/papers/ahn-flavornet-2011.pdf?utm_email=Email&utm_source=Nurture&utm_content=000026UJ&utm_term=10006555&utm_campaign=PLACEHOLDER&utm_id=SkillsNetwork-Courses-IBMDeveloperSkillsNetwork-DS0103EN-SkillsNetwork-20083987).\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"We also collected the data and placed it on an IBM server for your convenience.\n",
"\n",
"* * *\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"# Data Understanding <a id=\"2\"></a>\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"<img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0103EN-SkillsNetwork/labs/Module%203/images/flowchart_data_understanding.png\" width=500>\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"<strong>Important note:</strong> Please note that you are not expected to know how to program in python. The following code is meant to illustrate the stage of data collection, so it is totally fine if you do not understand the individual lines of code. There will be a full course in this certificate on programming in python, <a href=\"http://cocl.us/PY0101EN_DS0103EN_LAB3_PYTHON_edX\">Python for Data Science</a>, which will teach you how to program in Python if you decide to complete this certificate.\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"### Using this notebook:\n",
"\n",
"To run any of the following cells of code, you can type **Shift + Enter** to excute the code in a cell.\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Get the version of Python installed.\n"
]
},
{
"cell_type": "code",
"execution_count": 1,
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Python 3.6.13\n"
]
}
],
"source": [
"# check Python version\n",
"!python -V"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Download the library and dependencies that we will need to run this lab.\n"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
},
"tags": []
},
"outputs": [],
"source": [
"import pandas as pd # import library to read data into dataframe\n",
"pd.set_option('display.max_columns', None)\n",
"import numpy as np # import numpy library\n",
"import re # import library for regular expression"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Download the data from the IBM server and read it into a _pandas_ dataframe.\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Data read into dataframe!\n"
]
}
],
"source": [
"recipes = pd.read_csv(\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0103EN-SkillsNetwork/labs/Module%202/recipes.csv\")\n",
"\n",
"print(\"Data read into dataframe!\") # takes about 30 seconds"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Show the first few rows.\n"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
},
"tags": []
},
"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>country</th>\n",
" <th>almond</th>\n",
" <th>angelica</th>\n",
" <th>anise</th>\n",
" <th>anise_seed</th>\n",
" <th>apple</th>\n",
" <th>apple_brandy</th>\n",
" <th>apricot</th>\n",
" <th>armagnac</th>\n",
" <th>artemisia</th>\n",
" <th>artichoke</th>\n",
" <th>asparagus</th>\n",
" <th>avocado</th>\n",
" <th>bacon</th>\n",
" <th>baked_potato</th>\n",
" <th>balm</th>\n",
" <th>banana</th>\n",
" <th>barley</th>\n",
" <th>bartlett_pear</th>\n",
" <th>basil</th>\n",
" <th>bay</th>\n",
" <th>bean</th>\n",
" <th>beech</th>\n",
" <th>beef</th>\n",
" <th>beef_broth</th>\n",
" <th>beef_liver</th>\n",
" <th>beer</th>\n",
" <th>beet</th>\n",
" <th>bell_pepper</th>\n",
" <th>bergamot</th>\n",
" <th>berry</th>\n",
" <th>bitter_orange</th>\n",
" <th>black_bean</th>\n",
" <th>black_currant</th>\n",
" <th>black_mustard_seed_oil</th>\n",
" <th>black_pepper</th>\n",
" <th>black_raspberry</th>\n",
" <th>black_sesame_seed</th>\n",
" <th>black_tea</th>\n",
" <th>blackberry</th>\n",
" <th>blackberry_brandy</th>\n",
" <th>blue_cheese</th>\n",
" <th>blueberry</th>\n",
" <th>bone_oil</th>\n",
" <th>bourbon_whiskey</th>\n",
" <th>brandy</th>\n",
" <th>brassica</th>\n",
" <th>bread</th>\n",
" <th>broccoli</th>\n",
" <th>brown_rice</th>\n",
" <th>brussels_sprout</th>\n",
" <th>buckwheat</th>\n",
" <th>butter</th>\n",
" <th>buttermilk</th>\n",
" <th>cabbage</th>\n",
" <th>cabernet_sauvignon_wine</th>\n",
" <th>cacao</th>\n",
" <th>camembert_cheese</th>\n",
" <th>cane_molasses</th>\n",
" <th>caraway</th>\n",
" <th>cardamom</th>\n",
" <th>carnation</th>\n",
" <th>carob</th>\n",
" <th>carrot</th>\n",
" <th>cashew</th>\n",
" <th>cassava</th>\n",
" <th>catfish</th>\n",
" <th>cauliflower</th>\n",
" <th>caviar</th>\n",
" <th>cayenne</th>\n",
" <th>celery</th>\n",
" <th>celery_oil</th>\n",
" <th>cereal</th>\n",
" <th>chamomile</th>\n",
" <th>champagne_wine</th>\n",
" <th>chayote</th>\n",
" <th>cheddar_cheese</th>\n",
" <th>cheese</th>\n",
" <th>cherry</th>\n",
" <th>cherry_brandy</th>\n",
" <th>chervil</th>\n",
" <th>chicken</th>\n",
" <th>chicken_broth</th>\n",
" <th>chicken_liver</th>\n",
" <th>chickpea</th>\n",
" <th>chicory</th>\n",
" <th>chinese_cabbage</th>\n",
" <th>chive</th>\n",
" <th>cider</th>\n",
" <th>cilantro</th>\n",
" <th>cinnamon</th>\n",
" <th>citrus</th>\n",
" <th>citrus_peel</th>\n",
" <th>clam</th>\n",
" <th>clove</th>\n",
" <th>cocoa</th>\n",
" <th>coconut</th>\n",
" <th>coconut_oil</th>\n",
" <th>cod</th>\n",
" <th>coffee</th>\n",
" <th>cognac</th>\n",
" <th>concord_grape</th>\n",
" <th>condiment</th>\n",
" <th>coriander</th>\n",
" <th>corn</th>\n",
" <th>corn_flake</th>\n",
" <th>corn_grit</th>\n",
" <th>cottage_cheese</th>\n",
" <th>crab</th>\n",
" <th>cranberry</th>\n",
" <th>cream</th>\n",
" <th>cream_cheese</th>\n",
" <th>cucumber</th>\n",
" <th>cumin</th>\n",
" <th>cured_pork</th>\n",
" <th>currant</th>\n",
" <th>date</th>\n",
" <th>dill</th>\n",
" <th>durian</th>\n",
" <th>eel</th>\n",
" <th>egg</th>\n",
" <th>egg_noodle</th>\n",
" <th>elderberry</th>\n",
" <th>emmental_cheese</th>\n",
" <th>endive</th>\n",
" <th>enokidake</th>\n",
" <th>fennel</th>\n",
" <th>fenugreek</th>\n",
" <th>feta_cheese</th>\n",
" <th>fig</th>\n",
" <th>fish</th>\n",
" <th>flower</th>\n",
" <th>frankfurter</th>\n",
" <th>fruit</th>\n",
" <th>galanga</th>\n",
" <th>gardenia</th>\n",
" <th>garlic</th>\n",
" <th>gelatin</th>\n",
" <th>geranium</th>\n",
" <th>gin</th>\n",
" <th>ginger</th>\n",
" <th>goat_cheese</th>\n",
" <th>grape</th>\n",
" <th>grape_brandy</th>\n",
" <th>grape_juice</th>\n",
" <th>grapefruit</th>\n",
" <th>green_bell_pepper</th>\n",
" <th>green_tea</th>\n",
" <th>gruyere_cheese</th>\n",
" <th>guava</th>\n",
" <th>haddock</th>\n",
" <th>ham</th>\n",
" <th>hazelnut</th>\n",
" <th>herring</th>\n",
" <th>holy_basil</th>\n",
" <th>honey</th>\n",
" <th>hop</th>\n",
" <th>horseradish</th>\n",
" <th>huckleberry</th>\n",
" <th>jamaican_rum</th>\n",
" <th>japanese_plum</th>\n",
" <th>jasmine</th>\n",
" <th>jasmine_tea</th>\n",
" <th>juniper_berry</th>\n",
" <th>kaffir_lime</th>\n",
" <th>kale</th>\n",
" <th>katsuobushi</th>\n",
" <th>kelp</th>\n",
" <th>kidney_bean</th>\n",
" <th>kiwi</th>\n",
" <th>kohlrabi</th>\n",
" <th>kumquat</th>\n",
" <th>lamb</th>\n",
" <th>lard</th>\n",
" <th>laurel</th>\n",
" <th>lavender</th>\n",
" <th>leaf</th>\n",
" <th>leek</th>\n",
" <th>lemon</th>\n",
" <th>lemon_juice</th>\n",
" <th>lemon_peel</th>\n",
" <th>lemongrass</th>\n",
" <th>lentil</th>\n",
" <th>lettuce</th>\n",
" <th>licorice</th>\n",
" <th>lilac_flower_oil</th>\n",
" <th>lima_bean</th>\n",
" <th>lime</th>\n",
" <th>lime_juice</th>\n",
" <th>lime_peel_oil</th>\n",
" <th>lingonberry</th>\n",
" <th>litchi</th>\n",
" <th>liver</th>\n",
" <th>lobster</th>\n",
" <th>long_pepper</th>\n",
" <th>lovage</th>\n",
" <th>macadamia_nut</th>\n",
" <th>macaroni</th>\n",
" <th>mace</th>\n",
" <th>mackerel</th>\n",
" <th>malt</th>\n",
" <th>mandarin</th>\n",
" <th>mandarin_peel</th>\n",
" <th>mango</th>\n",
" <th>maple_syrup</th>\n",
" <th>marjoram</th>\n",
" <th>mate</th>\n",
" <th>matsutake</th>\n",
" <th>meat</th>\n",
" <th>melon</th>\n",
" <th>milk</th>\n",
" <th>milk_fat</th>\n",
" <th>mint</th>\n",
" <th>mozzarella_cheese</th>\n",
" <th>mung_bean</th>\n",
" <th>munster_cheese</th>\n",
" <th>muscat_grape</th>\n",
" <th>mushroom</th>\n",
" <th>mussel</th>\n",
" <th>mustard</th>\n",
" <th>mutton</th>\n",
" <th>nectarine</th>\n",
" <th>nira</th>\n",
" <th>nut</th>\n",
" <th>nutmeg</th>\n",
" <th>oat</th>\n",
" <th>oatmeal</th>\n",
" <th>octopus</th>\n",
" <th>okra</th>\n",
" <th>olive</th>\n",
" <th>olive_oil</th>\n",
" <th>onion</th>\n",
" <th>orange</th>\n",
" <th>orange_flower</th>\n",
" <th>orange_juice</th>\n",
" <th>orange_peel</th>\n",
" <th>oregano</th>\n",
" <th>ouzo</th>\n",
" <th>oyster</th>\n",
" <th>palm</th>\n",
" <th>papaya</th>\n",
" <th>parmesan_cheese</th>\n",
" <th>parsley</th>\n",
" <th>parsnip</th>\n",
" <th>passion_fruit</th>\n",
" <th>pea</th>\n",
" <th>peach</th>\n",
" <th>peanut</th>\n",
" <th>peanut_butter</th>\n",
" <th>peanut_oil</th>\n",
" <th>pear</th>\n",
" <th>pear_brandy</th>\n",
" <th>pecan</th>\n",
" <th>pelargonium</th>\n",
" <th>pepper</th>\n",
" <th>peppermint</th>\n",
" <th>peppermint_oil</th>\n",
" <th>pimenta</th>\n",
" <th>pimento</th>\n",
" <th>pineapple</th>\n",
" <th>pistachio</th>\n",
" <th>plum</th>\n",
" <th>popcorn</th>\n",
" <th>porcini</th>\n",
" <th>pork</th>\n",
" <th>pork_liver</th>\n",
" <th>pork_sausage</th>\n",
" <th>port_wine</th>\n",
" <th>potato</th>\n",
" <th>potato_chip</th>\n",
" <th>prawn</th>\n",
" <th>prickly_pear</th>\n",
" <th>provolone_cheese</th>\n",
" <th>pumpkin</th>\n",
" <th>quince</th>\n",
" <th>radish</th>\n",
" <th>raisin</th>\n",
" <th>rapeseed</th>\n",
" <th>raspberry</th>\n",
" <th>raw_beef</th>\n",
" <th>red_algae</th>\n",
" <th>red_bean</th>\n",
" <th>red_kidney_bean</th>\n",
" <th>red_wine</th>\n",
" <th>rhubarb</th>\n",
" <th>rice</th>\n",
" <th>roasted_almond</th>\n",
" <th>roasted_beef</th>\n",
" <th>roasted_hazelnut</th>\n",
" <th>roasted_meat</th>\n",
" <th>roasted_nut</th>\n",
" <th>roasted_peanut</th>\n",
" <th>roasted_pecan</th>\n",
" <th>roasted_pork</th>\n",
" <th>roasted_sesame_seed</th>\n",
" <th>romano_cheese</th>\n",
" <th>root</th>\n",
" <th>roquefort_cheese</th>\n",
" <th>rose</th>\n",
" <th>rosemary</th>\n",
" <th>rum</th>\n",
" <th>rutabaga</th>\n",
" <th>rye_bread</th>\n",
" <th>rye_flour</th>\n",
" <th>saffron</th>\n",
" <th>sage</th>\n",
" <th>sake</th>\n",
" <th>salmon</th>\n",
" <th>salmon_roe</th>\n",
" <th>sassafras</th>\n",
" <th>sauerkraut</th>\n",
" <th>savory</th>\n",
" <th>scallion</th>\n",
" <th>scallop</th>\n",
" <th>sea_algae</th>\n",
" <th>seaweed</th>\n",
" <th>seed</th>\n",
" <th>sesame_oil</th>\n",
" <th>sesame_seed</th>\n",
" <th>shallot</th>\n",
" <th>sheep_cheese</th>\n",
" <th>shellfish</th>\n",
" <th>sherry</th>\n",
" <th>shiitake</th>\n",
" <th>shrimp</th>\n",
" <th>smoke</th>\n",
" <th>smoked_fish</th>\n",
" <th>smoked_salmon</th>\n",
" <th>smoked_sausage</th>\n",
" <th>sour_cherry</th>\n",
" <th>sour_milk</th>\n",
" <th>soy_sauce</th>\n",
" <th>soybean</th>\n",
" <th>soybean_oil</th>\n",
" <th>spearmint</th>\n",
" <th>squash</th>\n",
" <th>squid</th>\n",
" <th>star_anise</th>\n",
" <th>starch</th>\n",
" <th>strawberry</th>\n",
" <th>strawberry_jam</th>\n",
" <th>strawberry_juice</th>\n",
" <th>sturgeon_caviar</th>\n",
" <th>sumac</th>\n",
" <th>sunflower_oil</th>\n",
" <th>sweet_potato</th>\n",
" <th>swiss_cheese</th>\n",
" <th>tabasco_pepper</th>\n",
" <th>tamarind</th>\n",
" <th>tangerine</th>\n",
" <th>tarragon</th>\n",
" <th>tea</th>\n",
" <th>tequila</th>\n",
" <th>thai_pepper</th>\n",
" <th>thyme</th>\n",
" <th>tomato</th>\n",
" <th>tomato_juice</th>\n",
" <th>truffle</th>\n",
" <th>tuna</th>\n",
" <th>turkey</th>\n",
" <th>turmeric</th>\n",
" <th>turnip</th>\n",
" <th>vanilla</th>\n",
" <th>veal</th>\n",
" <th>vegetable</th>\n",
" <th>vegetable_oil</th>\n",
" <th>vinegar</th>\n",
" <th>violet</th>\n",
" <th>walnut</th>\n",
" <th>wasabi</th>\n",
" <th>watercress</th>\n",
" <th>watermelon</th>\n",
" <th>wheat</th>\n",
" <th>wheat_bread</th>\n",
" <th>whiskey</th>\n",
" <th>white_bread</th>\n",
" <th>white_wine</th>\n",
" <th>whole_grain_wheat_flour</th>\n",
" <th>wine</th>\n",
" <th>wood</th>\n",
" <th>yam</th>\n",
" <th>yeast</th>\n",
" <th>yogurt</th>\n",
" <th>zucchini</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Vietnamese</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Vietnamese</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Vietnamese</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Vietnamese</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Vietnamese</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" country almond angelica anise anise_seed apple apple_brandy apricot \\\n",
"0 Vietnamese No No No No No No No \n",
"1 Vietnamese No No No No No No No \n",
"2 Vietnamese No No No No No No No \n",
"3 Vietnamese No No No No No No No \n",
"4 Vietnamese No No No No No No No \n",
"\n",
" armagnac artemisia artichoke asparagus avocado bacon baked_potato balm \\\n",
"0 No No No No No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 No No No No No No No No \n",
"\n",
" banana barley bartlett_pear basil bay bean beech beef beef_broth beef_liver \\\n",
"0 No No No Yes No No No No No No \n",
"1 No No No No No No No No No No \n",
"2 No No No No No No No No No No \n",
"3 No No No Yes No Yes No No Yes No \n",
"4 No No No No No No No No No No \n",
"\n",
" beer beet bell_pepper bergamot berry bitter_orange black_bean black_currant \\\n",
"0 No No No No No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 No No No No No No No No \n",
"\n",
" black_mustard_seed_oil black_pepper black_raspberry black_sesame_seed \\\n",
"0 No No No No \n",
"1 No Yes No No \n",
"2 No No No No \n",
"3 No No No No \n",
"4 No No No No \n",
"\n",
" black_tea blackberry blackberry_brandy blue_cheese blueberry bone_oil \\\n",
"0 No No No No No No \n",
"1 No No No No No No \n",
"2 No No No No No No \n",
"3 No No No No No No \n",
"4 No No No No No No \n",
"\n",
" bourbon_whiskey brandy brassica bread broccoli brown_rice brussels_sprout \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"\n",
" buckwheat butter buttermilk cabbage cabernet_sauvignon_wine cacao \\\n",
"0 No No No No No No \n",
"1 No No No No No No \n",
"2 No No No No No No \n",
"3 No No No No No No \n",
"4 No No No No No No \n",
"\n",
" camembert_cheese cane_molasses caraway cardamom carnation carob carrot \\\n",
"0 No No No No No No Yes \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"\n",
" cashew cassava catfish cauliflower caviar cayenne celery celery_oil cereal \\\n",
"0 No No No No No Yes No No No \n",
"1 No No No No No Yes No No No \n",
"2 No No No No No No No No No \n",
"3 No No No No No Yes No No No \n",
"4 No No No No No Yes No No No \n",
"\n",
" chamomile champagne_wine chayote cheddar_cheese cheese cherry cherry_brandy \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"\n",
" chervil chicken chicken_broth chicken_liver chickpea chicory \\\n",
"0 No No No No No No \n",
"1 No No No No No No \n",
"2 No No No No No No \n",
"3 No No No No No No \n",
"4 No No No No No No \n",
"\n",
" chinese_cabbage chive cider cilantro cinnamon citrus citrus_peel clam clove \\\n",
"0 No No No Yes No No No No No \n",
"1 No No No No No No No No No \n",
"2 No No No No No No No No No \n",
"3 No No No Yes No No No No No \n",
"4 No No No No No No No No No \n",
"\n",
" cocoa coconut coconut_oil cod coffee cognac concord_grape condiment \\\n",
"0 No No No No No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 No No No No No No No No \n",
"\n",
" coriander corn corn_flake corn_grit cottage_cheese crab cranberry cream \\\n",
"0 No No No No No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 Yes No No No No No No No \n",
"\n",
" cream_cheese cucumber cumin cured_pork currant date dill durian eel egg \\\n",
"0 No Yes No No No No No No No No \n",
"1 No No No No No No No No No No \n",
"2 No No No No No No No No No No \n",
"3 No No No No No No No No No No \n",
"4 No Yes No No No No No No No No \n",
"\n",
" egg_noodle elderberry emmental_cheese endive enokidake fennel fenugreek \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"\n",
" feta_cheese fig fish flower frankfurter fruit galanga gardenia garlic \\\n",
"0 No No Yes No No No No No Yes \n",
"1 No No Yes No No No No No Yes \n",
"2 No No No No No No No No Yes \n",
"3 No No Yes No No No No No No \n",
"4 No No Yes No No No No No Yes \n",
"\n",
" gelatin geranium gin ginger goat_cheese grape grape_brandy grape_juice \\\n",
"0 No No No No No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No Yes No No No No \n",
"4 No No No No No No No No \n",
"\n",
" grapefruit green_bell_pepper green_tea gruyere_cheese guava haddock ham \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"\n",
" hazelnut herring holy_basil honey hop horseradish huckleberry jamaican_rum \\\n",
"0 No No No No No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 No No No No No No No No \n",
"\n",
" japanese_plum jasmine jasmine_tea juniper_berry kaffir_lime kale \\\n",
"0 No No No No No No \n",
"1 No No No No No No \n",
"2 No No No No No No \n",
"3 No No No No No No \n",
"4 No No No No No No \n",
"\n",
" katsuobushi kelp kidney_bean kiwi kohlrabi kumquat lamb lard laurel \\\n",
"0 No No No No No No No No No \n",
"1 No No No No No No No No No \n",
"2 No No No No No No No No No \n",
"3 No No No No No No No No No \n",
"4 No No No No No No No No No \n",
"\n",
" lavender leaf leek lemon lemon_juice lemon_peel lemongrass lentil lettuce \\\n",
"0 No No No No No No No No Yes \n",
"1 No No No No No No No No No \n",
"2 No No No No No No No No No \n",
"3 No No No No No No No No No \n",
"4 No No No Yes No No No No No \n",
"\n",
" licorice lilac_flower_oil lima_bean lime lime_juice lime_peel_oil \\\n",
"0 No No No No Yes No \n",
"1 No No No No No No \n",
"2 No No No No Yes No \n",
"3 No No No Yes Yes No \n",
"4 No No No No Yes No \n",
"\n",
" lingonberry litchi liver lobster long_pepper lovage macadamia_nut macaroni \\\n",
"0 No No No No No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 No No No No No No No No \n",
"\n",
" mace mackerel malt mandarin mandarin_peel mango maple_syrup marjoram mate \\\n",
"0 No No No No No No No No No \n",
"1 No No No No No No No No No \n",
"2 No No No No No No No No No \n",
"3 No No No No No No No No No \n",
"4 No No No No No No No No No \n",
"\n",
" matsutake meat melon milk milk_fat mint mozzarella_cheese mung_bean \\\n",
"0 No No No No No Yes No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No Yes No No \n",
"4 No No No No No Yes No No \n",
"\n",
" munster_cheese muscat_grape mushroom mussel mustard mutton nectarine nira \\\n",
"0 No No No No No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 No No No No No No No No \n",
"\n",
" nut nutmeg oat oatmeal octopus okra olive olive_oil onion orange \\\n",
"0 No No No No No No No Yes No No \n",
"1 No No No No No No No No Yes No \n",
"2 No No No No No No No No No No \n",
"3 No No No No No No No No No No \n",
"4 No No No No No No No No No No \n",
"\n",
" orange_flower orange_juice orange_peel oregano ouzo oyster palm papaya \\\n",
"0 No No No No No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 No No No No No No No No \n",
"\n",
" parmesan_cheese parsley parsnip passion_fruit pea peach peanut \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No Yes No No \n",
"4 No No No No No No Yes \n",
"\n",
" peanut_butter peanut_oil pear pear_brandy pecan pelargonium pepper \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"\n",
" peppermint peppermint_oil pimenta pimento pineapple pistachio plum popcorn \\\n",
"0 No No No No No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 No No No No No No No No \n",
"\n",
" porcini pork pork_liver pork_sausage port_wine potato potato_chip prawn \\\n",
"0 No No No No No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 No No No No No No No No \n",
"\n",
" prickly_pear provolone_cheese pumpkin quince radish raisin rapeseed \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"\n",
" raspberry raw_beef red_algae red_bean red_kidney_bean red_wine rhubarb rice \\\n",
"0 No No No No No No No Yes \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No Yes \n",
"4 No No No No No No No Yes \n",
"\n",
" roasted_almond roasted_beef roasted_hazelnut roasted_meat roasted_nut \\\n",
"0 No No No No No \n",
"1 No No No No No \n",
"2 No No No No No \n",
"3 No Yes No No No \n",
"4 No No No No No \n",
"\n",
" roasted_peanut roasted_pecan roasted_pork roasted_sesame_seed romano_cheese \\\n",
"0 No No No No No \n",
"1 No No No No No \n",
"2 No No No No No \n",
"3 No No No No No \n",
"4 No No No No No \n",
"\n",
" root roquefort_cheese rose rosemary rum rutabaga rye_bread rye_flour \\\n",
"0 No No No No No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 No No No No No No No No \n",
"\n",
" saffron sage sake salmon salmon_roe sassafras sauerkraut savory scallion \\\n",
"0 No No No No No No No No No \n",
"1 No No No No No No No No No \n",
"2 No No No No No No No No No \n",
"3 No No No No No No No No No \n",
"4 No No No No No No No No Yes \n",
"\n",
" scallop sea_algae seaweed seed sesame_oil sesame_seed shallot sheep_cheese \\\n",
"0 No No No Yes No No No No \n",
"1 No No No Yes No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No Yes No \n",
"4 No No No No No No No No \n",
"\n",
" shellfish sherry shiitake shrimp smoke smoked_fish smoked_salmon \\\n",
"0 No No Yes Yes No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No Yes No No No \n",
"\n",
" smoked_sausage sour_cherry sour_milk soy_sauce soybean soybean_oil \\\n",
"0 No No No No No No \n",
"1 No No No No No No \n",
"2 No No No Yes No No \n",
"3 No No No No No No \n",
"4 No No No No No No \n",
"\n",
" spearmint squash squid star_anise starch strawberry strawberry_jam \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"\n",
" strawberry_juice sturgeon_caviar sumac sunflower_oil sweet_potato \\\n",
"0 No No No No No \n",
"1 No No No No No \n",
"2 No No No No No \n",
"3 No No No No No \n",
"4 No No No No No \n",
"\n",
" swiss_cheese tabasco_pepper tamarind tangerine tarragon tea tequila \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"\n",
" thai_pepper thyme tomato tomato_juice truffle tuna turkey turmeric turnip \\\n",
"0 No No No No No No No No No \n",
"1 No No No No No No No No No \n",
"2 Yes No No No No No No No No \n",
"3 No No No No No No No No No \n",
"4 No No No No No No No No No \n",
"\n",
" vanilla veal vegetable vegetable_oil vinegar violet walnut wasabi \\\n",
"0 No No No No Yes No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No Yes No No No No \n",
"4 No No No No Yes No No No \n",
"\n",
" watercress watermelon wheat wheat_bread whiskey white_bread white_wine \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"\n",
" whole_grain_wheat_flour wine wood yam yeast yogurt zucchini \n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No "
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"recipes.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Get the dimensions of the dataframe.\n"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"(57691, 384)"
]
},
"execution_count": 5,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"recipes.shape"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"So our dataset consists of 57,691 recipes. Each row represents a recipe, and for each recipe, the corresponding cuisine is documented as well as whether 384 ingredients exist in the recipe or not, beginning with almond and ending with zucchini.\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"We know that a basic sushi recipe includes the ingredients:\n",
"\n",
"- rice\n",
"- soy sauce\n",
"- wasabi\n",
"- some fish/vegetables\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Let's check that these ingredients exist in our dataframe:\n"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"['brown_rice', 'licorice', 'rice']\n",
"['wasabi']\n",
"['soy_sauce', 'soybean', 'soybean_oil']\n"
]
}
],
"source": [
"ingredients = list(recipes.columns.values)\n",
"\n",
"print([match.group(0) for ingredient in ingredients for match in [(re.compile(\".*(rice).*\")).search(ingredient)] if match])\n",
"print([match.group(0) for ingredient in ingredients for match in [(re.compile(\".*(wasabi).*\")).search(ingredient)] if match])\n",
"print([match.group(0) for ingredient in ingredients for match in [(re.compile(\".*(soy).*\")).search(ingredient)] if match])"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Yes, they do!\n",
"\n",
"- rice exists as rice.\n",
"- wasabi exists as wasabi.\n",
"- soy exists as soy_sauce.\n",
"\n",
"So maybe if a recipe contains all three ingredients: rice, wasabi, and soy_sauce, then we can confidently say that the recipe is a **Japanese** cuisine! Let's keep this in mind!\n",
"\n",
"* * *\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"# Data Preparation <a id=\"4\"></a>\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"<img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0103EN-SkillsNetwork/labs/Module%203/images/lab3_fig5_flowchart_data_preparation.png\" width=500>\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"In this section, we will prepare data for the next stage in the data science methodology, which is modeling. This stage involves exploring the data further and making sure that it is in the right format for the machine learning algorithm that we selected in the analytic approach stage, which is decision trees.\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"First, look at the data to see if it needs cleaning.\n"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
},
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"American 40150\n",
"Mexico 1754\n",
"Italian 1715\n",
"Italy 1461\n",
"Asian 1176\n",
" ... \n",
"Indonesia 12\n",
"Belgium 11\n",
"East-African 11\n",
"Israel 9\n",
"Bangladesh 4\n",
"Name: country, Length: 69, dtype: int64"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"recipes[\"country\"].value_counts() # frequency table"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"By looking at the above table, we can make the following observations:\n",
"\n",
"1. Cuisine column is labeled as Country, which is inaccurate.\n",
"2. Cuisine names are not consistent as not all of them start with an uppercase first letter.\n",
"3. Some cuisines are duplicated as variation of the country name, such as Vietnam and Vietnamese.\n",
"4. Some cuisines have very few recipes.\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Let's fix these problems.\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Fix the name of the column showing the cuisine.\n"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
},
"tags": []
},
"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>cuisine</th>\n",
" <th>almond</th>\n",
" <th>angelica</th>\n",
" <th>anise</th>\n",
" <th>anise_seed</th>\n",
" <th>apple</th>\n",
" <th>apple_brandy</th>\n",
" <th>apricot</th>\n",
" <th>armagnac</th>\n",
" <th>artemisia</th>\n",
" <th>artichoke</th>\n",
" <th>asparagus</th>\n",
" <th>avocado</th>\n",
" <th>bacon</th>\n",
" <th>baked_potato</th>\n",
" <th>balm</th>\n",
" <th>banana</th>\n",
" <th>barley</th>\n",
" <th>bartlett_pear</th>\n",
" <th>basil</th>\n",
" <th>bay</th>\n",
" <th>bean</th>\n",
" <th>beech</th>\n",
" <th>beef</th>\n",
" <th>beef_broth</th>\n",
" <th>beef_liver</th>\n",
" <th>beer</th>\n",
" <th>beet</th>\n",
" <th>bell_pepper</th>\n",
" <th>bergamot</th>\n",
" <th>berry</th>\n",
" <th>bitter_orange</th>\n",
" <th>black_bean</th>\n",
" <th>black_currant</th>\n",
" <th>black_mustard_seed_oil</th>\n",
" <th>black_pepper</th>\n",
" <th>black_raspberry</th>\n",
" <th>black_sesame_seed</th>\n",
" <th>black_tea</th>\n",
" <th>blackberry</th>\n",
" <th>blackberry_brandy</th>\n",
" <th>blue_cheese</th>\n",
" <th>blueberry</th>\n",
" <th>bone_oil</th>\n",
" <th>bourbon_whiskey</th>\n",
" <th>brandy</th>\n",
" <th>brassica</th>\n",
" <th>bread</th>\n",
" <th>broccoli</th>\n",
" <th>brown_rice</th>\n",
" <th>brussels_sprout</th>\n",
" <th>buckwheat</th>\n",
" <th>butter</th>\n",
" <th>buttermilk</th>\n",
" <th>cabbage</th>\n",
" <th>cabernet_sauvignon_wine</th>\n",
" <th>cacao</th>\n",
" <th>camembert_cheese</th>\n",
" <th>cane_molasses</th>\n",
" <th>caraway</th>\n",
" <th>cardamom</th>\n",
" <th>carnation</th>\n",
" <th>carob</th>\n",
" <th>carrot</th>\n",
" <th>cashew</th>\n",
" <th>cassava</th>\n",
" <th>catfish</th>\n",
" <th>cauliflower</th>\n",
" <th>caviar</th>\n",
" <th>cayenne</th>\n",
" <th>celery</th>\n",
" <th>celery_oil</th>\n",
" <th>cereal</th>\n",
" <th>chamomile</th>\n",
" <th>champagne_wine</th>\n",
" <th>chayote</th>\n",
" <th>cheddar_cheese</th>\n",
" <th>cheese</th>\n",
" <th>cherry</th>\n",
" <th>cherry_brandy</th>\n",
" <th>chervil</th>\n",
" <th>chicken</th>\n",
" <th>chicken_broth</th>\n",
" <th>chicken_liver</th>\n",
" <th>chickpea</th>\n",
" <th>chicory</th>\n",
" <th>chinese_cabbage</th>\n",
" <th>chive</th>\n",
" <th>cider</th>\n",
" <th>cilantro</th>\n",
" <th>cinnamon</th>\n",
" <th>citrus</th>\n",
" <th>citrus_peel</th>\n",
" <th>clam</th>\n",
" <th>clove</th>\n",
" <th>cocoa</th>\n",
" <th>coconut</th>\n",
" <th>coconut_oil</th>\n",
" <th>cod</th>\n",
" <th>coffee</th>\n",
" <th>cognac</th>\n",
" <th>concord_grape</th>\n",
" <th>condiment</th>\n",
" <th>coriander</th>\n",
" <th>corn</th>\n",
" <th>corn_flake</th>\n",
" <th>corn_grit</th>\n",
" <th>cottage_cheese</th>\n",
" <th>crab</th>\n",
" <th>cranberry</th>\n",
" <th>cream</th>\n",
" <th>cream_cheese</th>\n",
" <th>cucumber</th>\n",
" <th>cumin</th>\n",
" <th>cured_pork</th>\n",
" <th>currant</th>\n",
" <th>date</th>\n",
" <th>dill</th>\n",
" <th>durian</th>\n",
" <th>eel</th>\n",
" <th>egg</th>\n",
" <th>egg_noodle</th>\n",
" <th>elderberry</th>\n",
" <th>emmental_cheese</th>\n",
" <th>endive</th>\n",
" <th>enokidake</th>\n",
" <th>fennel</th>\n",
" <th>fenugreek</th>\n",
" <th>feta_cheese</th>\n",
" <th>fig</th>\n",
" <th>fish</th>\n",
" <th>flower</th>\n",
" <th>frankfurter</th>\n",
" <th>fruit</th>\n",
" <th>galanga</th>\n",
" <th>gardenia</th>\n",
" <th>garlic</th>\n",
" <th>gelatin</th>\n",
" <th>geranium</th>\n",
" <th>gin</th>\n",
" <th>ginger</th>\n",
" <th>goat_cheese</th>\n",
" <th>grape</th>\n",
" <th>grape_brandy</th>\n",
" <th>grape_juice</th>\n",
" <th>grapefruit</th>\n",
" <th>green_bell_pepper</th>\n",
" <th>green_tea</th>\n",
" <th>gruyere_cheese</th>\n",
" <th>guava</th>\n",
" <th>haddock</th>\n",
" <th>ham</th>\n",
" <th>hazelnut</th>\n",
" <th>herring</th>\n",
" <th>holy_basil</th>\n",
" <th>honey</th>\n",
" <th>hop</th>\n",
" <th>horseradish</th>\n",
" <th>huckleberry</th>\n",
" <th>jamaican_rum</th>\n",
" <th>japanese_plum</th>\n",
" <th>jasmine</th>\n",
" <th>jasmine_tea</th>\n",
" <th>juniper_berry</th>\n",
" <th>kaffir_lime</th>\n",
" <th>kale</th>\n",
" <th>katsuobushi</th>\n",
" <th>kelp</th>\n",
" <th>kidney_bean</th>\n",
" <th>kiwi</th>\n",
" <th>kohlrabi</th>\n",
" <th>kumquat</th>\n",
" <th>lamb</th>\n",
" <th>lard</th>\n",
" <th>laurel</th>\n",
" <th>lavender</th>\n",
" <th>leaf</th>\n",
" <th>leek</th>\n",
" <th>lemon</th>\n",
" <th>lemon_juice</th>\n",
" <th>lemon_peel</th>\n",
" <th>lemongrass</th>\n",
" <th>lentil</th>\n",
" <th>lettuce</th>\n",
" <th>licorice</th>\n",
" <th>lilac_flower_oil</th>\n",
" <th>lima_bean</th>\n",
" <th>lime</th>\n",
" <th>lime_juice</th>\n",
" <th>lime_peel_oil</th>\n",
" <th>lingonberry</th>\n",
" <th>litchi</th>\n",
" <th>liver</th>\n",
" <th>lobster</th>\n",
" <th>long_pepper</th>\n",
" <th>lovage</th>\n",
" <th>macadamia_nut</th>\n",
" <th>macaroni</th>\n",
" <th>mace</th>\n",
" <th>mackerel</th>\n",
" <th>malt</th>\n",
" <th>mandarin</th>\n",
" <th>mandarin_peel</th>\n",
" <th>mango</th>\n",
" <th>maple_syrup</th>\n",
" <th>marjoram</th>\n",
" <th>mate</th>\n",
" <th>matsutake</th>\n",
" <th>meat</th>\n",
" <th>melon</th>\n",
" <th>milk</th>\n",
" <th>milk_fat</th>\n",
" <th>mint</th>\n",
" <th>mozzarella_cheese</th>\n",
" <th>mung_bean</th>\n",
" <th>munster_cheese</th>\n",
" <th>muscat_grape</th>\n",
" <th>mushroom</th>\n",
" <th>mussel</th>\n",
" <th>mustard</th>\n",
" <th>mutton</th>\n",
" <th>nectarine</th>\n",
" <th>nira</th>\n",
" <th>nut</th>\n",
" <th>nutmeg</th>\n",
" <th>oat</th>\n",
" <th>oatmeal</th>\n",
" <th>octopus</th>\n",
" <th>okra</th>\n",
" <th>olive</th>\n",
" <th>olive_oil</th>\n",
" <th>onion</th>\n",
" <th>orange</th>\n",
" <th>orange_flower</th>\n",
" <th>orange_juice</th>\n",
" <th>orange_peel</th>\n",
" <th>oregano</th>\n",
" <th>ouzo</th>\n",
" <th>oyster</th>\n",
" <th>palm</th>\n",
" <th>papaya</th>\n",
" <th>parmesan_cheese</th>\n",
" <th>parsley</th>\n",
" <th>parsnip</th>\n",
" <th>passion_fruit</th>\n",
" <th>pea</th>\n",
" <th>peach</th>\n",
" <th>peanut</th>\n",
" <th>peanut_butter</th>\n",
" <th>peanut_oil</th>\n",
" <th>pear</th>\n",
" <th>pear_brandy</th>\n",
" <th>pecan</th>\n",
" <th>pelargonium</th>\n",
" <th>pepper</th>\n",
" <th>peppermint</th>\n",
" <th>peppermint_oil</th>\n",
" <th>pimenta</th>\n",
" <th>pimento</th>\n",
" <th>pineapple</th>\n",
" <th>pistachio</th>\n",
" <th>plum</th>\n",
" <th>popcorn</th>\n",
" <th>porcini</th>\n",
" <th>pork</th>\n",
" <th>pork_liver</th>\n",
" <th>pork_sausage</th>\n",
" <th>port_wine</th>\n",
" <th>potato</th>\n",
" <th>potato_chip</th>\n",
" <th>prawn</th>\n",
" <th>prickly_pear</th>\n",
" <th>provolone_cheese</th>\n",
" <th>pumpkin</th>\n",
" <th>quince</th>\n",
" <th>radish</th>\n",
" <th>raisin</th>\n",
" <th>rapeseed</th>\n",
" <th>raspberry</th>\n",
" <th>raw_beef</th>\n",
" <th>red_algae</th>\n",
" <th>red_bean</th>\n",
" <th>red_kidney_bean</th>\n",
" <th>red_wine</th>\n",
" <th>rhubarb</th>\n",
" <th>rice</th>\n",
" <th>roasted_almond</th>\n",
" <th>roasted_beef</th>\n",
" <th>roasted_hazelnut</th>\n",
" <th>roasted_meat</th>\n",
" <th>roasted_nut</th>\n",
" <th>roasted_peanut</th>\n",
" <th>roasted_pecan</th>\n",
" <th>roasted_pork</th>\n",
" <th>roasted_sesame_seed</th>\n",
" <th>romano_cheese</th>\n",
" <th>root</th>\n",
" <th>roquefort_cheese</th>\n",
" <th>rose</th>\n",
" <th>rosemary</th>\n",
" <th>rum</th>\n",
" <th>rutabaga</th>\n",
" <th>rye_bread</th>\n",
" <th>rye_flour</th>\n",
" <th>saffron</th>\n",
" <th>sage</th>\n",
" <th>sake</th>\n",
" <th>salmon</th>\n",
" <th>salmon_roe</th>\n",
" <th>sassafras</th>\n",
" <th>sauerkraut</th>\n",
" <th>savory</th>\n",
" <th>scallion</th>\n",
" <th>scallop</th>\n",
" <th>sea_algae</th>\n",
" <th>seaweed</th>\n",
" <th>seed</th>\n",
" <th>sesame_oil</th>\n",
" <th>sesame_seed</th>\n",
" <th>shallot</th>\n",
" <th>sheep_cheese</th>\n",
" <th>shellfish</th>\n",
" <th>sherry</th>\n",
" <th>shiitake</th>\n",
" <th>shrimp</th>\n",
" <th>smoke</th>\n",
" <th>smoked_fish</th>\n",
" <th>smoked_salmon</th>\n",
" <th>smoked_sausage</th>\n",
" <th>sour_cherry</th>\n",
" <th>sour_milk</th>\n",
" <th>soy_sauce</th>\n",
" <th>soybean</th>\n",
" <th>soybean_oil</th>\n",
" <th>spearmint</th>\n",
" <th>squash</th>\n",
" <th>squid</th>\n",
" <th>star_anise</th>\n",
" <th>starch</th>\n",
" <th>strawberry</th>\n",
" <th>strawberry_jam</th>\n",
" <th>strawberry_juice</th>\n",
" <th>sturgeon_caviar</th>\n",
" <th>sumac</th>\n",
" <th>sunflower_oil</th>\n",
" <th>sweet_potato</th>\n",
" <th>swiss_cheese</th>\n",
" <th>tabasco_pepper</th>\n",
" <th>tamarind</th>\n",
" <th>tangerine</th>\n",
" <th>tarragon</th>\n",
" <th>tea</th>\n",
" <th>tequila</th>\n",
" <th>thai_pepper</th>\n",
" <th>thyme</th>\n",
" <th>tomato</th>\n",
" <th>tomato_juice</th>\n",
" <th>truffle</th>\n",
" <th>tuna</th>\n",
" <th>turkey</th>\n",
" <th>turmeric</th>\n",
" <th>turnip</th>\n",
" <th>vanilla</th>\n",
" <th>veal</th>\n",
" <th>vegetable</th>\n",
" <th>vegetable_oil</th>\n",
" <th>vinegar</th>\n",
" <th>violet</th>\n",
" <th>walnut</th>\n",
" <th>wasabi</th>\n",
" <th>watercress</th>\n",
" <th>watermelon</th>\n",
" <th>wheat</th>\n",
" <th>wheat_bread</th>\n",
" <th>whiskey</th>\n",
" <th>white_bread</th>\n",
" <th>white_wine</th>\n",
" <th>whole_grain_wheat_flour</th>\n",
" <th>wine</th>\n",
" <th>wood</th>\n",
" <th>yam</th>\n",
" <th>yeast</th>\n",
" <th>yogurt</th>\n",
" <th>zucchini</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>Vietnamese</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>Vietnamese</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>Vietnamese</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>Vietnamese</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>Vietnamese</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <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",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>57686</th>\n",
" <td>Japan</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>Yes</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>57687</th>\n",
" <td>Japan</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>57688</th>\n",
" <td>Japan</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>57689</th>\n",
" <td>Japan</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" </tr>\n",
" <tr>\n",
" <th>57690</th>\n",
" <td>Japan</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>Yes</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" <td>No</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>57691 rows × 384 columns</p>\n",
"</div>"
],
"text/plain": [
" cuisine almond angelica anise anise_seed apple apple_brandy apricot \\\n",
"0 Vietnamese No No No No No No No \n",
"1 Vietnamese No No No No No No No \n",
"2 Vietnamese No No No No No No No \n",
"3 Vietnamese No No No No No No No \n",
"4 Vietnamese No No No No No No No \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 Japan No No No No No No No \n",
"57687 Japan No No No No No No No \n",
"57688 Japan No No No No No No No \n",
"57689 Japan No No No No No No No \n",
"57690 Japan No No No No No No No \n",
"\n",
" armagnac artemisia artichoke asparagus avocado bacon baked_potato balm \\\n",
"0 No No No No No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 No No No No No No No No \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No No \n",
"57687 No No No No No No No No \n",
"57688 No No No No No No No No \n",
"57689 No No No No No Yes No No \n",
"57690 No No No No No No No No \n",
"\n",
" banana barley bartlett_pear basil bay bean beech beef beef_broth \\\n",
"0 No No No Yes No No No No No \n",
"1 No No No No No No No No No \n",
"2 No No No No No No No No No \n",
"3 No No No Yes No Yes No No Yes \n",
"4 No No No No No No No No No \n",
"... ... ... ... ... .. ... ... ... ... \n",
"57686 No No No No No No No No No \n",
"57687 No No No No No No No No No \n",
"57688 No Yes No No No No No No No \n",
"57689 No No No No No No No No No \n",
"57690 No Yes No No No No No No No \n",
"\n",
" beef_liver beer beet bell_pepper bergamot berry bitter_orange \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No \n",
"57687 No No No No No No No \n",
"57688 No No No No No No No \n",
"57689 No No No No No No No \n",
"57690 No No No No No No No \n",
"\n",
" black_bean black_currant black_mustard_seed_oil black_pepper \\\n",
"0 No No No No \n",
"1 No No No Yes \n",
"2 No No No No \n",
"3 No No No No \n",
"4 No No No No \n",
"... ... ... ... ... \n",
"57686 No No No No \n",
"57687 No No No No \n",
"57688 No No No No \n",
"57689 No No No No \n",
"57690 No No No No \n",
"\n",
" black_raspberry black_sesame_seed black_tea blackberry \\\n",
"0 No No No No \n",
"1 No No No No \n",
"2 No No No No \n",
"3 No No No No \n",
"4 No No No No \n",
"... ... ... ... ... \n",
"57686 No No No No \n",
"57687 No No No No \n",
"57688 No No No No \n",
"57689 No No No No \n",
"57690 No No No No \n",
"\n",
" blackberry_brandy blue_cheese blueberry bone_oil bourbon_whiskey brandy \\\n",
"0 No No No No No No \n",
"1 No No No No No No \n",
"2 No No No No No No \n",
"3 No No No No No No \n",
"4 No No No No No No \n",
"... ... ... ... ... ... ... \n",
"57686 No No No No No No \n",
"57687 No No No No No No \n",
"57688 No No No No No No \n",
"57689 No No No No No No \n",
"57690 No No No No No No \n",
"\n",
" brassica bread broccoli brown_rice brussels_sprout buckwheat butter \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No \n",
"57687 No No No No No No No \n",
"57688 No No No No No No No \n",
"57689 No No No No No No No \n",
"57690 No No No No No No No \n",
"\n",
" buttermilk cabbage cabernet_sauvignon_wine cacao camembert_cheese \\\n",
"0 No No No No No \n",
"1 No No No No No \n",
"2 No No No No No \n",
"3 No No No No No \n",
"4 No No No No No \n",
"... ... ... ... ... ... \n",
"57686 No No No No No \n",
"57687 No No No No No \n",
"57688 No No No No No \n",
"57689 No Yes No No No \n",
"57690 No No No No No \n",
"\n",
" cane_molasses caraway cardamom carnation carob carrot cashew cassava \\\n",
"0 No No No No No Yes No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 No No No No No No No No \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No No \n",
"57687 No No No No No No No No \n",
"57688 No No No No No No No No \n",
"57689 No No No No No No No No \n",
"57690 No No No No No No No No \n",
"\n",
" catfish cauliflower caviar cayenne celery celery_oil cereal chamomile \\\n",
"0 No No No Yes No No No No \n",
"1 No No No Yes No No No No \n",
"2 No No No No No No No No \n",
"3 No No No Yes No No No No \n",
"4 No No No Yes No No No No \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No No \n",
"57687 No No No No No No No No \n",
"57688 No No No No No No No No \n",
"57689 No No No No No No No No \n",
"57690 No No No No No No No No \n",
"\n",
" champagne_wine chayote cheddar_cheese cheese cherry cherry_brandy \\\n",
"0 No No No No No No \n",
"1 No No No No No No \n",
"2 No No No No No No \n",
"3 No No No No No No \n",
"4 No No No No No No \n",
"... ... ... ... ... ... ... \n",
"57686 No No No No No No \n",
"57687 No No No No No No \n",
"57688 No No No No No No \n",
"57689 No No No No No No \n",
"57690 No No No No No No \n",
"\n",
" chervil chicken chicken_broth chicken_liver chickpea chicory \\\n",
"0 No No No No No No \n",
"1 No No No No No No \n",
"2 No No No No No No \n",
"3 No No No No No No \n",
"4 No No No No No No \n",
"... ... ... ... ... ... ... \n",
"57686 No No No No No No \n",
"57687 No Yes No No No No \n",
"57688 No No No No No No \n",
"57689 No No No No No No \n",
"57690 No No No No No No \n",
"\n",
" chinese_cabbage chive cider cilantro cinnamon citrus citrus_peel clam \\\n",
"0 No No No Yes No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No Yes No No No No \n",
"4 No No No No No No No No \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 No Yes No No No No No No \n",
"57687 No No No No No No No No \n",
"57688 No No No No No No No No \n",
"57689 No No No No No No No No \n",
"57690 No No No No No No No No \n",
"\n",
" clove cocoa coconut coconut_oil cod coffee cognac concord_grape \\\n",
"0 No No No No No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 No No No No No No No No \n",
"... ... ... ... ... .. ... ... ... \n",
"57686 No No No No No No No No \n",
"57687 No No No No No No No No \n",
"57688 No No No No No No No No \n",
"57689 No No No No No No No No \n",
"57690 No No No No No No No No \n",
"\n",
" condiment coriander corn corn_flake corn_grit cottage_cheese crab \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No Yes No No No No No \n",
"... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No \n",
"57687 No No No No No No No \n",
"57688 No No Yes No No No No \n",
"57689 No No No No No No No \n",
"57690 No No No No No No No \n",
"\n",
" cranberry cream cream_cheese cucumber cumin cured_pork currant date \\\n",
"0 No No No Yes No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 No No No Yes No No No No \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 No Yes Yes Yes No No No No \n",
"57687 No No No No No No No No \n",
"57688 No No No No No No No No \n",
"57689 No No No No No No No No \n",
"57690 No No No No No No No No \n",
"\n",
" dill durian eel egg egg_noodle elderberry emmental_cheese endive \\\n",
"0 No No No No No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 No No No No No No No No \n",
"... ... ... .. ... ... ... ... ... \n",
"57686 No No No Yes No No No No \n",
"57687 No No No Yes No No No No \n",
"57688 No No No No No No No No \n",
"57689 No No No Yes No No No No \n",
"57690 No No No Yes No No No No \n",
"\n",
" enokidake fennel fenugreek feta_cheese fig fish flower frankfurter \\\n",
"0 No No No No No Yes No No \n",
"1 No No No No No Yes No No \n",
"2 No No No No No No No No \n",
"3 No No No No No Yes No No \n",
"4 No No No No No Yes No No \n",
"... ... ... ... ... .. ... ... ... \n",
"57686 No No No No No No No No \n",
"57687 No No No No No No No No \n",
"57688 No No No No No Yes No No \n",
"57689 No No No No No No No No \n",
"57690 No No No No No No No No \n",
"\n",
" fruit galanga gardenia garlic gelatin geranium gin ginger goat_cheese \\\n",
"0 No No No Yes No No No No No \n",
"1 No No No Yes No No No No No \n",
"2 No No No Yes No No No No No \n",
"3 No No No No No No No Yes No \n",
"4 No No No Yes No No No No No \n",
"... ... ... ... ... ... ... .. ... ... \n",
"57686 No No No No No No No No No \n",
"57687 No No No No No No No No No \n",
"57688 No No No Yes No No No Yes No \n",
"57689 No No No No No No No Yes No \n",
"57690 No No No No No No No No No \n",
"\n",
" grape grape_brandy grape_juice grapefruit green_bell_pepper green_tea \\\n",
"0 No No No No No No \n",
"1 No No No No No No \n",
"2 No No No No No No \n",
"3 No No No No No No \n",
"4 No No No No No No \n",
"... ... ... ... ... ... ... \n",
"57686 No No No No No No \n",
"57687 No No No No No No \n",
"57688 No No No No No No \n",
"57689 No No No No No No \n",
"57690 No No No No No No \n",
"\n",
" gruyere_cheese guava haddock ham hazelnut herring holy_basil honey hop \\\n",
"0 No No No No No No No No No \n",
"1 No No No No No No No No No \n",
"2 No No No No No No No No No \n",
"3 No No No No No No No No No \n",
"4 No No No No No No No No No \n",
"... ... ... ... .. ... ... ... ... .. \n",
"57686 No No No No No No No No No \n",
"57687 No No No No No No No No No \n",
"57688 No No No No No No No No No \n",
"57689 No No No No No No No No No \n",
"57690 No No No No No No No No No \n",
"\n",
" horseradish huckleberry jamaican_rum japanese_plum jasmine jasmine_tea \\\n",
"0 No No No No No No \n",
"1 No No No No No No \n",
"2 No No No No No No \n",
"3 No No No No No No \n",
"4 No No No No No No \n",
"... ... ... ... ... ... ... \n",
"57686 No No No No No No \n",
"57687 No No No No No No \n",
"57688 No No No No No No \n",
"57689 No No No No No No \n",
"57690 No No No No No No \n",
"\n",
" juniper_berry kaffir_lime kale katsuobushi kelp kidney_bean kiwi \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No \n",
"57687 No No No No No No No \n",
"57688 No No No No No No No \n",
"57689 No No No No No No No \n",
"57690 No No No No No No No \n",
"\n",
" kohlrabi kumquat lamb lard laurel lavender leaf leek lemon lemon_juice \\\n",
"0 No No No No No No No No No No \n",
"1 No No No No No No No No No No \n",
"2 No No No No No No No No No No \n",
"3 No No No No No No No No No No \n",
"4 No No No No No No No No Yes No \n",
"... ... ... ... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No No No No \n",
"57687 No No No No No No No No No No \n",
"57688 No No No No No No No No No No \n",
"57689 No No No No No No No No No No \n",
"57690 No No No No No No No No No No \n",
"\n",
" lemon_peel lemongrass lentil lettuce licorice lilac_flower_oil \\\n",
"0 No No No Yes No No \n",
"1 No No No No No No \n",
"2 No No No No No No \n",
"3 No No No No No No \n",
"4 No No No No No No \n",
"... ... ... ... ... ... ... \n",
"57686 No No No No No No \n",
"57687 No No No No No No \n",
"57688 No No No No No No \n",
"57689 No No No No No No \n",
"57690 No No No No No No \n",
"\n",
" lima_bean lime lime_juice lime_peel_oil lingonberry litchi liver \\\n",
"0 No No Yes No No No No \n",
"1 No No No No No No No \n",
"2 No No Yes No No No No \n",
"3 No Yes Yes No No No No \n",
"4 No No Yes No No No No \n",
"... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No \n",
"57687 No No No No No No No \n",
"57688 No No No No No No No \n",
"57689 No No No No No No No \n",
"57690 No No No No No No No \n",
"\n",
" lobster long_pepper lovage macadamia_nut macaroni mace mackerel malt \\\n",
"0 No No No No No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 No No No No No No No No \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No No \n",
"57687 No No No No No No No No \n",
"57688 No No No No No No No No \n",
"57689 No No No No No No No No \n",
"57690 No No No No No No No No \n",
"\n",
" mandarin mandarin_peel mango maple_syrup marjoram mate matsutake meat \\\n",
"0 No No No No No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 No No No No No No No No \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No No \n",
"57687 No No No No No No No No \n",
"57688 No No No No No No No No \n",
"57689 No No No No No No No No \n",
"57690 No No No No No No No No \n",
"\n",
" melon milk milk_fat mint mozzarella_cheese mung_bean munster_cheese \\\n",
"0 No No No Yes No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No Yes No No No \n",
"4 No No No Yes No No No \n",
"... ... ... ... ... ... ... ... \n",
"57686 No Yes No No No No No \n",
"57687 No No No No No No No \n",
"57688 No No No No No No No \n",
"57689 No No No No No No No \n",
"57690 No Yes No No No No No \n",
"\n",
" muscat_grape mushroom mussel mustard mutton nectarine nira nut nutmeg \\\n",
"0 No No No No No No No No No \n",
"1 No No No No No No No No No \n",
"2 No No No No No No No No No \n",
"3 No No No No No No No No No \n",
"4 No No No No No No No No No \n",
"... ... ... ... ... ... ... ... ... ... \n",
"57686 No No No Yes No No No No No \n",
"57687 No No No No No No No Yes No \n",
"57688 No No No No No No No No No \n",
"57689 No No No No No No No No No \n",
"57690 No No No No No No No No No \n",
"\n",
" oat oatmeal octopus okra olive olive_oil onion orange orange_flower \\\n",
"0 No No No No No Yes No No No \n",
"1 No No No No No No Yes No No \n",
"2 No No No No No No No No No \n",
"3 No No No No No No No No No \n",
"4 No No No No No No No No No \n",
"... .. ... ... ... ... ... ... ... ... \n",
"57686 No No No No No No Yes No No \n",
"57687 No No No No No No No No No \n",
"57688 No No No No No No No No No \n",
"57689 No No No No No No No No No \n",
"57690 No No No No No No Yes No No \n",
"\n",
" orange_juice orange_peel oregano ouzo oyster palm papaya \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No \n",
"57687 No No No No No No No \n",
"57688 No No No No No No No \n",
"57689 No No No No No No No \n",
"57690 No No No No No No No \n",
"\n",
" parmesan_cheese parsley parsnip passion_fruit pea peach peanut \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No Yes No No \n",
"4 No No No No No No Yes \n",
"... ... ... ... ... ... ... ... \n",
"57686 No Yes No No No No No \n",
"57687 No No No No No No No \n",
"57688 No No No No No No No \n",
"57689 No No No No No No No \n",
"57690 No No No No No No No \n",
"\n",
" peanut_butter peanut_oil pear pear_brandy pecan pelargonium pepper \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No \n",
"57687 No No No No No No No \n",
"57688 No No No No No No Yes \n",
"57689 No No No No No No No \n",
"57690 No No No No No No Yes \n",
"\n",
" peppermint peppermint_oil pimenta pimento pineapple pistachio plum \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No \n",
"57687 No No No No No No No \n",
"57688 No No No No No No No \n",
"57689 No No No No No No No \n",
"57690 No No No No No No No \n",
"\n",
" popcorn porcini pork pork_liver pork_sausage port_wine potato \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No \n",
"57687 No No Yes No No No No \n",
"57688 No No No No No No No \n",
"57689 No No No No No No No \n",
"57690 No No No No No No No \n",
"\n",
" potato_chip prawn prickly_pear provolone_cheese pumpkin quince radish \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No \n",
"57687 No No No No No No No \n",
"57688 No No No No No No No \n",
"57689 No No No No No No No \n",
"57690 No No No No No No No \n",
"\n",
" raisin rapeseed raspberry raw_beef red_algae red_bean red_kidney_bean \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No \n",
"57687 No No No No No No No \n",
"57688 No No No No No No No \n",
"57689 No No No No No No No \n",
"57690 No No No No No No No \n",
"\n",
" red_wine rhubarb rice roasted_almond roasted_beef roasted_hazelnut \\\n",
"0 No No Yes No No No \n",
"1 No No No No No No \n",
"2 No No No No No No \n",
"3 No No Yes No Yes No \n",
"4 No No Yes No No No \n",
"... ... ... ... ... ... ... \n",
"57686 No No No No No No \n",
"57687 No No No No No No \n",
"57688 No No Yes No No No \n",
"57689 No No No No No No \n",
"57690 No No Yes No No No \n",
"\n",
" roasted_meat roasted_nut roasted_peanut roasted_pecan roasted_pork \\\n",
"0 No No No No No \n",
"1 No No No No No \n",
"2 No No No No No \n",
"3 No No No No No \n",
"4 No No No No No \n",
"... ... ... ... ... ... \n",
"57686 No No No No No \n",
"57687 No No No No No \n",
"57688 No No No No No \n",
"57689 No No No No No \n",
"57690 No No No No No \n",
"\n",
" roasted_sesame_seed romano_cheese root roquefort_cheese rose rosemary \\\n",
"0 No No No No No No \n",
"1 No No No No No No \n",
"2 No No No No No No \n",
"3 No No No No No No \n",
"4 No No No No No No \n",
"... ... ... ... ... ... ... \n",
"57686 No No No No No No \n",
"57687 No No No No No No \n",
"57688 No No No No No No \n",
"57689 No No No No No No \n",
"57690 No No No No No No \n",
"\n",
" rum rutabaga rye_bread rye_flour saffron sage sake salmon salmon_roe \\\n",
"0 No No No No No No No No No \n",
"1 No No No No No No No No No \n",
"2 No No No No No No No No No \n",
"3 No No No No No No No No No \n",
"4 No No No No No No No No No \n",
"... .. ... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No No No \n",
"57687 No No No No No No No No No \n",
"57688 No No No No No No Yes No No \n",
"57689 No No No No No No No No No \n",
"57690 No No No No No No No No No \n",
"\n",
" sassafras sauerkraut savory scallion scallop sea_algae seaweed seed \\\n",
"0 No No No No No No No Yes \n",
"1 No No No No No No No Yes \n",
"2 No No No No No No No No \n",
"3 No No No No No No No No \n",
"4 No No No Yes No No No No \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No No \n",
"57687 No No No Yes No No Yes No \n",
"57688 No No No No No No No No \n",
"57689 No No No No No No No No \n",
"57690 No No No No No No No No \n",
"\n",
" sesame_oil sesame_seed shallot sheep_cheese shellfish sherry shiitake \\\n",
"0 No No No No No No Yes \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No Yes No No No No \n",
"4 No No No No No No No \n",
"... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No \n",
"57687 Yes No No No No No No \n",
"57688 No No Yes No No No No \n",
"57689 No No No No No No No \n",
"57690 No Yes No No No No No \n",
"\n",
" shrimp smoke smoked_fish smoked_salmon smoked_sausage sour_cherry \\\n",
"0 Yes No No No No No \n",
"1 No No No No No No \n",
"2 No No No No No No \n",
"3 No No No No No No \n",
"4 Yes No No No No No \n",
"... ... ... ... ... ... ... \n",
"57686 No No No No No No \n",
"57687 No No No No No No \n",
"57688 No No No No No No \n",
"57689 No No No No No No \n",
"57690 No No No No No No \n",
"\n",
" sour_milk soy_sauce soybean soybean_oil spearmint squash squid \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No Yes No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No \n",
"57687 No No No No No No No \n",
"57688 No Yes Yes No No No No \n",
"57689 No No No No No No No \n",
"57690 No Yes Yes No No No No \n",
"\n",
" star_anise starch strawberry strawberry_jam strawberry_juice \\\n",
"0 No No No No No \n",
"1 No No No No No \n",
"2 No No No No No \n",
"3 No No No No No \n",
"4 No No No No No \n",
"... ... ... ... ... ... \n",
"57686 No Yes No No No \n",
"57687 No No No No No \n",
"57688 No No No No No \n",
"57689 No No No No No \n",
"57690 No No No No No \n",
"\n",
" sturgeon_caviar sumac sunflower_oil sweet_potato swiss_cheese \\\n",
"0 No No No No No \n",
"1 No No No No No \n",
"2 No No No No No \n",
"3 No No No No No \n",
"4 No No No No No \n",
"... ... ... ... ... ... \n",
"57686 No No No No No \n",
"57687 No No No No No \n",
"57688 No No No No No \n",
"57689 No No No No No \n",
"57690 No No No No No \n",
"\n",
" tabasco_pepper tamarind tangerine tarragon tea tequila thai_pepper \\\n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No Yes \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"... ... ... ... ... .. ... ... \n",
"57686 No No No No No No No \n",
"57687 No No No No No No No \n",
"57688 No No No No No No No \n",
"57689 No No No No No No No \n",
"57690 No No No No No No No \n",
"\n",
" thyme tomato tomato_juice truffle tuna turkey turmeric turnip vanilla \\\n",
"0 No No No No No No No No No \n",
"1 No No No No No No No No No \n",
"2 No No No No No No No No No \n",
"3 No No No No No No No No No \n",
"4 No No No No No No No No No \n",
"... ... ... ... ... ... ... ... ... ... \n",
"57686 No No No No No No No No No \n",
"57687 No No No No No No No No No \n",
"57688 No No No No No No No No No \n",
"57689 No No No No No No No No No \n",
"57690 No No No No Yes No No No No \n",
"\n",
" veal vegetable vegetable_oil vinegar violet walnut wasabi watercress \\\n",
"0 No No No Yes No No No No \n",
"1 No No No No No No No No \n",
"2 No No No No No No No No \n",
"3 No No Yes No No No No No \n",
"4 No No No Yes No No No No \n",
"... ... ... ... ... ... ... ... ... \n",
"57686 No No Yes No No No No No \n",
"57687 No No No No No No No No \n",
"57688 No No Yes Yes No No No No \n",
"57689 No No No Yes No No No No \n",
"57690 No No Yes No No No Yes No \n",
"\n",
" watermelon wheat wheat_bread whiskey white_bread white_wine \\\n",
"0 No No No No No No \n",
"1 No No No No No No \n",
"2 No No No No No No \n",
"3 No No No No No No \n",
"4 No No No No No No \n",
"... ... ... ... ... ... ... \n",
"57686 No Yes No No No No \n",
"57687 No No No No No No \n",
"57688 No No No No No No \n",
"57689 No Yes No No No No \n",
"57690 No Yes No No No No \n",
"\n",
" whole_grain_wheat_flour wine wood yam yeast yogurt zucchini \n",
"0 No No No No No No No \n",
"1 No No No No No No No \n",
"2 No No No No No No No \n",
"3 No No No No No No No \n",
"4 No No No No No No No \n",
"... ... ... ... .. ... ... ... \n",
"57686 No No No No No No No \n",
"57687 No No No No No No No \n",
"57688 No No No No No No No \n",
"57689 No No No No No No No \n",
"57690 No No No No No No No \n",
"\n",
"[57691 rows x 384 columns]"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"column_names = recipes.columns.values\n",
"column_names[0] = \"cuisine\"\n",
"recipes.columns = column_names\n",
"\n",
"recipes"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Make all the cuisine names lowercase.\n"
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
},
"tags": []
},
"outputs": [],
"source": [
"recipes[\"cuisine\"] = recipes[\"cuisine\"].str.lower()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Make the cuisine names consistent.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"button": false,
"collapsed": true,
"jupyter": {
"outputs_hidden": true
},
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"outputs": [],
"source": [
"recipes.loc[recipes[\"cuisine\"] == \"austria\", \"cuisine\"] = \"austrian\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"belgium\", \"cuisine\"] = \"belgian\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"china\", \"cuisine\"] = \"chinese\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"canada\", \"cuisine\"] = \"canadian\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"netherlands\", \"cuisine\"] = \"dutch\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"france\", \"cuisine\"] = \"french\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"germany\", \"cuisine\"] = \"german\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"india\", \"cuisine\"] = \"indian\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"indonesia\", \"cuisine\"] = \"indonesian\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"iran\", \"cuisine\"] = \"iranian\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"italy\", \"cuisine\"] = \"italian\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"japan\", \"cuisine\"] = \"japanese\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"israel\", \"cuisine\"] = \"israeli\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"korea\", \"cuisine\"] = \"korean\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"lebanon\", \"cuisine\"] = \"lebanese\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"malaysia\", \"cuisine\"] = \"malaysian\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"mexico\", \"cuisine\"] = \"mexican\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"pakistan\", \"cuisine\"] = \"pakistani\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"philippines\", \"cuisine\"] = \"philippine\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"scandinavia\", \"cuisine\"] = \"scandinavian\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"spain\", \"cuisine\"] = \"spanish_portuguese\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"portugal\", \"cuisine\"] = \"spanish_portuguese\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"switzerland\", \"cuisine\"] = \"swiss\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"thailand\", \"cuisine\"] = \"thai\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"turkey\", \"cuisine\"] = \"turkish\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"vietnam\", \"cuisine\"] = \"vietnamese\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"uk-and-ireland\", \"cuisine\"] = \"uk-and-irish\"\n",
"recipes.loc[recipes[\"cuisine\"] == \"irish\", \"cuisine\"] = \"uk-and-irish\"\n",
"\n",
"recipes"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Remove cuisines with < 50 recipes.\n"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
},
"tags": []
},
"outputs": [],
"source": [
"# get list of cuisines to keep\n",
"recipes_counts = recipes[\"cuisine\"].value_counts()\n",
"cuisines_indices = recipes_counts > 50\n",
"\n",
"cuisines_to_keep = list(np.array(recipes_counts.index.values)[np.array(cuisines_indices)])"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Number of rows of original dataframe is 57691.\n",
"Number of rows of processed dataframe is 57282.\n",
"409 rows removed!\n"
]
}
],
"source": [
"rows_before = recipes.shape[0] # number of rows of original dataframe\n",
"print(\"Number of rows of original dataframe is {}.\".format(rows_before))\n",
"\n",
"recipes = recipes.loc[recipes['cuisine'].isin(cuisines_to_keep)]\n",
"\n",
"rows_after = recipes.shape[0] # number of rows of processed dataframe\n",
"print(\"Number of rows of processed dataframe is {}.\".format(rows_after))\n",
"\n",
"print(\"{} rows removed!\".format(rows_before - rows_after))"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Convert all Yes's to 1's and the No's to 0's\n"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
},
"tags": []
},
"outputs": [],
"source": [
"recipes = recipes.replace(to_replace=\"Yes\", value=1)\n",
"recipes = recipes.replace(to_replace=\"No\", value=0)"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Let's analyze the data a little more in order to learn the data better and note any interesting preliminary observations.\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Run the following cell to get the recipes that contain **rice** _and_ **soy** _and_ **wasabi** _and_ **seaweed**.\n"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
},
"tags": []
},
"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>cuisine</th>\n",
" <th>almond</th>\n",
" <th>angelica</th>\n",
" <th>anise</th>\n",
" <th>anise_seed</th>\n",
" <th>apple</th>\n",
" <th>apple_brandy</th>\n",
" <th>apricot</th>\n",
" <th>armagnac</th>\n",
" <th>artemisia</th>\n",
" <th>artichoke</th>\n",
" <th>asparagus</th>\n",
" <th>avocado</th>\n",
" <th>bacon</th>\n",
" <th>baked_potato</th>\n",
" <th>balm</th>\n",
" <th>banana</th>\n",
" <th>barley</th>\n",
" <th>bartlett_pear</th>\n",
" <th>basil</th>\n",
" <th>bay</th>\n",
" <th>bean</th>\n",
" <th>beech</th>\n",
" <th>beef</th>\n",
" <th>beef_broth</th>\n",
" <th>beef_liver</th>\n",
" <th>beer</th>\n",
" <th>beet</th>\n",
" <th>bell_pepper</th>\n",
" <th>bergamot</th>\n",
" <th>berry</th>\n",
" <th>bitter_orange</th>\n",
" <th>black_bean</th>\n",
" <th>black_currant</th>\n",
" <th>black_mustard_seed_oil</th>\n",
" <th>black_pepper</th>\n",
" <th>black_raspberry</th>\n",
" <th>black_sesame_seed</th>\n",
" <th>black_tea</th>\n",
" <th>blackberry</th>\n",
" <th>blackberry_brandy</th>\n",
" <th>blue_cheese</th>\n",
" <th>blueberry</th>\n",
" <th>bone_oil</th>\n",
" <th>bourbon_whiskey</th>\n",
" <th>brandy</th>\n",
" <th>brassica</th>\n",
" <th>bread</th>\n",
" <th>broccoli</th>\n",
" <th>brown_rice</th>\n",
" <th>brussels_sprout</th>\n",
" <th>buckwheat</th>\n",
" <th>butter</th>\n",
" <th>buttermilk</th>\n",
" <th>cabbage</th>\n",
" <th>cabernet_sauvignon_wine</th>\n",
" <th>cacao</th>\n",
" <th>camembert_cheese</th>\n",
" <th>cane_molasses</th>\n",
" <th>caraway</th>\n",
" <th>cardamom</th>\n",
" <th>carnation</th>\n",
" <th>carob</th>\n",
" <th>carrot</th>\n",
" <th>cashew</th>\n",
" <th>cassava</th>\n",
" <th>catfish</th>\n",
" <th>cauliflower</th>\n",
" <th>caviar</th>\n",
" <th>cayenne</th>\n",
" <th>celery</th>\n",
" <th>celery_oil</th>\n",
" <th>cereal</th>\n",
" <th>chamomile</th>\n",
" <th>champagne_wine</th>\n",
" <th>chayote</th>\n",
" <th>cheddar_cheese</th>\n",
" <th>cheese</th>\n",
" <th>cherry</th>\n",
" <th>cherry_brandy</th>\n",
" <th>chervil</th>\n",
" <th>chicken</th>\n",
" <th>chicken_broth</th>\n",
" <th>chicken_liver</th>\n",
" <th>chickpea</th>\n",
" <th>chicory</th>\n",
" <th>chinese_cabbage</th>\n",
" <th>chive</th>\n",
" <th>cider</th>\n",
" <th>cilantro</th>\n",
" <th>cinnamon</th>\n",
" <th>citrus</th>\n",
" <th>citrus_peel</th>\n",
" <th>clam</th>\n",
" <th>clove</th>\n",
" <th>cocoa</th>\n",
" <th>coconut</th>\n",
" <th>coconut_oil</th>\n",
" <th>cod</th>\n",
" <th>coffee</th>\n",
" <th>cognac</th>\n",
" <th>concord_grape</th>\n",
" <th>condiment</th>\n",
" <th>coriander</th>\n",
" <th>corn</th>\n",
" <th>corn_flake</th>\n",
" <th>corn_grit</th>\n",
" <th>cottage_cheese</th>\n",
" <th>crab</th>\n",
" <th>cranberry</th>\n",
" <th>cream</th>\n",
" <th>cream_cheese</th>\n",
" <th>cucumber</th>\n",
" <th>cumin</th>\n",
" <th>cured_pork</th>\n",
" <th>currant</th>\n",
" <th>date</th>\n",
" <th>dill</th>\n",
" <th>durian</th>\n",
" <th>eel</th>\n",
" <th>egg</th>\n",
" <th>egg_noodle</th>\n",
" <th>elderberry</th>\n",
" <th>emmental_cheese</th>\n",
" <th>endive</th>\n",
" <th>enokidake</th>\n",
" <th>fennel</th>\n",
" <th>fenugreek</th>\n",
" <th>feta_cheese</th>\n",
" <th>fig</th>\n",
" <th>fish</th>\n",
" <th>flower</th>\n",
" <th>frankfurter</th>\n",
" <th>fruit</th>\n",
" <th>galanga</th>\n",
" <th>gardenia</th>\n",
" <th>garlic</th>\n",
" <th>gelatin</th>\n",
" <th>geranium</th>\n",
" <th>gin</th>\n",
" <th>ginger</th>\n",
" <th>goat_cheese</th>\n",
" <th>grape</th>\n",
" <th>grape_brandy</th>\n",
" <th>grape_juice</th>\n",
" <th>grapefruit</th>\n",
" <th>green_bell_pepper</th>\n",
" <th>green_tea</th>\n",
" <th>gruyere_cheese</th>\n",
" <th>guava</th>\n",
" <th>haddock</th>\n",
" <th>ham</th>\n",
" <th>hazelnut</th>\n",
" <th>herring</th>\n",
" <th>holy_basil</th>\n",
" <th>honey</th>\n",
" <th>hop</th>\n",
" <th>horseradish</th>\n",
" <th>huckleberry</th>\n",
" <th>jamaican_rum</th>\n",
" <th>japanese_plum</th>\n",
" <th>jasmine</th>\n",
" <th>jasmine_tea</th>\n",
" <th>juniper_berry</th>\n",
" <th>kaffir_lime</th>\n",
" <th>kale</th>\n",
" <th>katsuobushi</th>\n",
" <th>kelp</th>\n",
" <th>kidney_bean</th>\n",
" <th>kiwi</th>\n",
" <th>kohlrabi</th>\n",
" <th>kumquat</th>\n",
" <th>lamb</th>\n",
" <th>lard</th>\n",
" <th>laurel</th>\n",
" <th>lavender</th>\n",
" <th>leaf</th>\n",
" <th>leek</th>\n",
" <th>lemon</th>\n",
" <th>lemon_juice</th>\n",
" <th>lemon_peel</th>\n",
" <th>lemongrass</th>\n",
" <th>lentil</th>\n",
" <th>lettuce</th>\n",
" <th>licorice</th>\n",
" <th>lilac_flower_oil</th>\n",
" <th>lima_bean</th>\n",
" <th>lime</th>\n",
" <th>lime_juice</th>\n",
" <th>lime_peel_oil</th>\n",
" <th>lingonberry</th>\n",
" <th>litchi</th>\n",
" <th>liver</th>\n",
" <th>lobster</th>\n",
" <th>long_pepper</th>\n",
" <th>lovage</th>\n",
" <th>macadamia_nut</th>\n",
" <th>macaroni</th>\n",
" <th>mace</th>\n",
" <th>mackerel</th>\n",
" <th>malt</th>\n",
" <th>mandarin</th>\n",
" <th>mandarin_peel</th>\n",
" <th>mango</th>\n",
" <th>maple_syrup</th>\n",
" <th>marjoram</th>\n",
" <th>mate</th>\n",
" <th>matsutake</th>\n",
" <th>meat</th>\n",
" <th>melon</th>\n",
" <th>milk</th>\n",
" <th>milk_fat</th>\n",
" <th>mint</th>\n",
" <th>mozzarella_cheese</th>\n",
" <th>mung_bean</th>\n",
" <th>munster_cheese</th>\n",
" <th>muscat_grape</th>\n",
" <th>mushroom</th>\n",
" <th>mussel</th>\n",
" <th>mustard</th>\n",
" <th>mutton</th>\n",
" <th>nectarine</th>\n",
" <th>nira</th>\n",
" <th>nut</th>\n",
" <th>nutmeg</th>\n",
" <th>oat</th>\n",
" <th>oatmeal</th>\n",
" <th>octopus</th>\n",
" <th>okra</th>\n",
" <th>olive</th>\n",
" <th>olive_oil</th>\n",
" <th>onion</th>\n",
" <th>orange</th>\n",
" <th>orange_flower</th>\n",
" <th>orange_juice</th>\n",
" <th>orange_peel</th>\n",
" <th>oregano</th>\n",
" <th>ouzo</th>\n",
" <th>oyster</th>\n",
" <th>palm</th>\n",
" <th>papaya</th>\n",
" <th>parmesan_cheese</th>\n",
" <th>parsley</th>\n",
" <th>parsnip</th>\n",
" <th>passion_fruit</th>\n",
" <th>pea</th>\n",
" <th>peach</th>\n",
" <th>peanut</th>\n",
" <th>peanut_butter</th>\n",
" <th>peanut_oil</th>\n",
" <th>pear</th>\n",
" <th>pear_brandy</th>\n",
" <th>pecan</th>\n",
" <th>pelargonium</th>\n",
" <th>pepper</th>\n",
" <th>peppermint</th>\n",
" <th>peppermint_oil</th>\n",
" <th>pimenta</th>\n",
" <th>pimento</th>\n",
" <th>pineapple</th>\n",
" <th>pistachio</th>\n",
" <th>plum</th>\n",
" <th>popcorn</th>\n",
" <th>porcini</th>\n",
" <th>pork</th>\n",
" <th>pork_liver</th>\n",
" <th>pork_sausage</th>\n",
" <th>port_wine</th>\n",
" <th>potato</th>\n",
" <th>potato_chip</th>\n",
" <th>prawn</th>\n",
" <th>prickly_pear</th>\n",
" <th>provolone_cheese</th>\n",
" <th>pumpkin</th>\n",
" <th>quince</th>\n",
" <th>radish</th>\n",
" <th>raisin</th>\n",
" <th>rapeseed</th>\n",
" <th>raspberry</th>\n",
" <th>raw_beef</th>\n",
" <th>red_algae</th>\n",
" <th>red_bean</th>\n",
" <th>red_kidney_bean</th>\n",
" <th>red_wine</th>\n",
" <th>rhubarb</th>\n",
" <th>rice</th>\n",
" <th>roasted_almond</th>\n",
" <th>roasted_beef</th>\n",
" <th>roasted_hazelnut</th>\n",
" <th>roasted_meat</th>\n",
" <th>roasted_nut</th>\n",
" <th>roasted_peanut</th>\n",
" <th>roasted_pecan</th>\n",
" <th>roasted_pork</th>\n",
" <th>roasted_sesame_seed</th>\n",
" <th>romano_cheese</th>\n",
" <th>root</th>\n",
" <th>roquefort_cheese</th>\n",
" <th>rose</th>\n",
" <th>rosemary</th>\n",
" <th>rum</th>\n",
" <th>rutabaga</th>\n",
" <th>rye_bread</th>\n",
" <th>rye_flour</th>\n",
" <th>saffron</th>\n",
" <th>sage</th>\n",
" <th>sake</th>\n",
" <th>salmon</th>\n",
" <th>salmon_roe</th>\n",
" <th>sassafras</th>\n",
" <th>sauerkraut</th>\n",
" <th>savory</th>\n",
" <th>scallion</th>\n",
" <th>scallop</th>\n",
" <th>sea_algae</th>\n",
" <th>seaweed</th>\n",
" <th>seed</th>\n",
" <th>sesame_oil</th>\n",
" <th>sesame_seed</th>\n",
" <th>shallot</th>\n",
" <th>sheep_cheese</th>\n",
" <th>shellfish</th>\n",
" <th>sherry</th>\n",
" <th>shiitake</th>\n",
" <th>shrimp</th>\n",
" <th>smoke</th>\n",
" <th>smoked_fish</th>\n",
" <th>smoked_salmon</th>\n",
" <th>smoked_sausage</th>\n",
" <th>sour_cherry</th>\n",
" <th>sour_milk</th>\n",
" <th>soy_sauce</th>\n",
" <th>soybean</th>\n",
" <th>soybean_oil</th>\n",
" <th>spearmint</th>\n",
" <th>squash</th>\n",
" <th>squid</th>\n",
" <th>star_anise</th>\n",
" <th>starch</th>\n",
" <th>strawberry</th>\n",
" <th>strawberry_jam</th>\n",
" <th>strawberry_juice</th>\n",
" <th>sturgeon_caviar</th>\n",
" <th>sumac</th>\n",
" <th>sunflower_oil</th>\n",
" <th>sweet_potato</th>\n",
" <th>swiss_cheese</th>\n",
" <th>tabasco_pepper</th>\n",
" <th>tamarind</th>\n",
" <th>tangerine</th>\n",
" <th>tarragon</th>\n",
" <th>tea</th>\n",
" <th>tequila</th>\n",
" <th>thai_pepper</th>\n",
" <th>thyme</th>\n",
" <th>tomato</th>\n",
" <th>tomato_juice</th>\n",
" <th>truffle</th>\n",
" <th>tuna</th>\n",
" <th>turkey</th>\n",
" <th>turmeric</th>\n",
" <th>turnip</th>\n",
" <th>vanilla</th>\n",
" <th>veal</th>\n",
" <th>vegetable</th>\n",
" <th>vegetable_oil</th>\n",
" <th>vinegar</th>\n",
" <th>violet</th>\n",
" <th>walnut</th>\n",
" <th>wasabi</th>\n",
" <th>watercress</th>\n",
" <th>watermelon</th>\n",
" <th>wheat</th>\n",
" <th>wheat_bread</th>\n",
" <th>whiskey</th>\n",
" <th>white_bread</th>\n",
" <th>white_wine</th>\n",
" <th>whole_grain_wheat_flour</th>\n",
" <th>wine</th>\n",
" <th>wood</th>\n",
" <th>yam</th>\n",
" <th>yeast</th>\n",
" <th>yogurt</th>\n",
" <th>zucchini</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>vietnamese</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>vietnamese</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>vietnamese</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>vietnamese</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>1</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>vietnamese</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" cuisine almond angelica anise anise_seed apple apple_brandy \\\n",
"0 vietnamese 0 0 0 0 0 0 \n",
"1 vietnamese 0 0 0 0 0 0 \n",
"2 vietnamese 0 0 0 0 0 0 \n",
"3 vietnamese 0 0 0 0 0 0 \n",
"4 vietnamese 0 0 0 0 0 0 \n",
"\n",
" apricot armagnac artemisia artichoke asparagus avocado bacon \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" baked_potato balm banana barley bartlett_pear basil bay bean beech \\\n",
"0 0 0 0 0 0 1 0 0 0 \n",
"1 0 0 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 1 0 1 0 \n",
"4 0 0 0 0 0 0 0 0 0 \n",
"\n",
" beef beef_broth beef_liver beer beet bell_pepper bergamot berry \\\n",
"0 0 0 0 0 0 0 0 0 \n",
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" bitter_orange black_bean black_currant black_mustard_seed_oil \\\n",
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" black_pepper black_raspberry black_sesame_seed black_tea blackberry \\\n",
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" blackberry_brandy blue_cheese blueberry bone_oil bourbon_whiskey \\\n",
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" brandy brassica bread broccoli brown_rice brussels_sprout buckwheat \\\n",
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" butter buttermilk cabbage cabernet_sauvignon_wine cacao \\\n",
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" camembert_cheese cane_molasses caraway cardamom carnation carob \\\n",
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" carrot cashew cassava catfish cauliflower caviar cayenne celery \\\n",
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"\n",
" celery_oil cereal chamomile champagne_wine chayote cheddar_cheese \\\n",
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" cheese cherry cherry_brandy chervil chicken chicken_broth \\\n",
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" chicken_liver chickpea chicory chinese_cabbage chive cider cilantro \\\n",
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" cinnamon citrus citrus_peel clam clove cocoa coconut coconut_oil \\\n",
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" cod coffee cognac concord_grape condiment coriander corn corn_flake \\\n",
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" corn_grit cottage_cheese crab cranberry cream cream_cheese cucumber \\\n",
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"\n",
" cumin cured_pork currant date dill durian eel egg egg_noodle \\\n",
"0 0 0 0 0 0 0 0 0 0 \n",
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"3 0 0 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 0 0 \n",
"\n",
" elderberry emmental_cheese endive enokidake fennel fenugreek \\\n",
"0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 \n",
"\n",
" feta_cheese fig fish flower frankfurter fruit galanga gardenia \\\n",
"0 0 0 1 0 0 0 0 0 \n",
"1 0 0 1 0 0 0 0 0 \n",
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"3 0 0 1 0 0 0 0 0 \n",
"4 0 0 1 0 0 0 0 0 \n",
"\n",
" garlic gelatin geranium gin ginger goat_cheese grape grape_brandy \\\n",
"0 1 0 0 0 0 0 0 0 \n",
"1 1 0 0 0 0 0 0 0 \n",
"2 1 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 1 0 0 0 \n",
"4 1 0 0 0 0 0 0 0 \n",
"\n",
" grape_juice grapefruit green_bell_pepper green_tea gruyere_cheese \\\n",
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"2 0 0 0 0 0 \n",
"3 0 0 0 0 0 \n",
"4 0 0 0 0 0 \n",
"\n",
" guava haddock ham hazelnut herring holy_basil honey hop \\\n",
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"3 0 0 0 0 0 0 0 0 \n",
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"\n",
" horseradish huckleberry jamaican_rum japanese_plum jasmine \\\n",
"0 0 0 0 0 0 \n",
"1 0 0 0 0 0 \n",
"2 0 0 0 0 0 \n",
"3 0 0 0 0 0 \n",
"4 0 0 0 0 0 \n",
"\n",
" jasmine_tea juniper_berry kaffir_lime kale katsuobushi kelp \\\n",
"0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 \n",
"\n",
" kidney_bean kiwi kohlrabi kumquat lamb lard laurel lavender leaf \\\n",
"0 0 0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 0 0 \n",
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"\n",
" leek lemon lemon_juice lemon_peel lemongrass lentil lettuce \\\n",
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"3 0 0 0 0 0 0 0 \n",
"4 0 1 0 0 0 0 0 \n",
"\n",
" licorice lilac_flower_oil lima_bean lime lime_juice lime_peel_oil \\\n",
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"3 0 0 0 1 1 0 \n",
"4 0 0 0 0 1 0 \n",
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" lingonberry litchi liver lobster long_pepper lovage macadamia_nut \\\n",
"0 0 0 0 0 0 0 0 \n",
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"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" macaroni mace mackerel malt mandarin mandarin_peel mango \\\n",
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" maple_syrup marjoram mate matsutake meat melon milk milk_fat mint \\\n",
"0 0 0 0 0 0 0 0 0 1 \n",
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"2 0 0 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 0 1 \n",
"4 0 0 0 0 0 0 0 0 1 \n",
"\n",
" mozzarella_cheese mung_bean munster_cheese muscat_grape mushroom \\\n",
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"4 0 0 0 0 0 \n",
"\n",
" mussel mustard mutton nectarine nira nut nutmeg oat oatmeal \\\n",
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"3 0 0 0 0 0 0 0 0 0 \n",
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"\n",
" octopus okra olive olive_oil onion orange orange_flower \\\n",
"0 0 0 0 1 0 0 0 \n",
"1 0 0 0 0 1 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" orange_juice orange_peel oregano ouzo oyster palm papaya \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" parmesan_cheese parsley parsnip passion_fruit pea peach peanut \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 1 0 0 \n",
"4 0 0 0 0 0 0 1 \n",
"\n",
" peanut_butter peanut_oil pear pear_brandy pecan pelargonium pepper \\\n",
"0 0 0 0 0 0 0 0 \n",
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"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" peppermint peppermint_oil pimenta pimento pineapple pistachio plum \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" popcorn porcini pork pork_liver pork_sausage port_wine potato \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" potato_chip prawn prickly_pear provolone_cheese pumpkin quince \\\n",
"0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 \n",
"\n",
" radish raisin rapeseed raspberry raw_beef red_algae red_bean \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" red_kidney_bean red_wine rhubarb rice roasted_almond roasted_beef \\\n",
"0 0 0 0 1 0 0 \n",
"1 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 \n",
"3 0 0 0 1 0 1 \n",
"4 0 0 0 1 0 0 \n",
"\n",
" roasted_hazelnut roasted_meat roasted_nut roasted_peanut roasted_pecan \\\n",
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"1 0 0 0 0 0 \n",
"2 0 0 0 0 0 \n",
"3 0 0 0 0 0 \n",
"4 0 0 0 0 0 \n",
"\n",
" roasted_pork roasted_sesame_seed romano_cheese root roquefort_cheese \\\n",
"0 0 0 0 0 0 \n",
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"\n",
" rose rosemary rum rutabaga rye_bread rye_flour saffron sage sake \\\n",
"0 0 0 0 0 0 0 0 0 0 \n",
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"3 0 0 0 0 0 0 0 0 0 \n",
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"\n",
" salmon salmon_roe sassafras sauerkraut savory scallion scallop \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 1 0 \n",
"\n",
" sea_algae seaweed seed sesame_oil sesame_seed shallot sheep_cheese \\\n",
"0 0 0 1 0 0 0 0 \n",
"1 0 0 1 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 1 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" shellfish sherry shiitake shrimp smoke smoked_fish smoked_salmon \\\n",
"0 0 0 1 1 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 1 0 0 0 \n",
"\n",
" smoked_sausage sour_cherry sour_milk soy_sauce soybean soybean_oil \\\n",
"0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 \n",
"2 0 0 0 1 0 0 \n",
"3 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 \n",
"\n",
" spearmint squash squid star_anise starch strawberry strawberry_jam \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" strawberry_juice sturgeon_caviar sumac sunflower_oil sweet_potato \\\n",
"0 0 0 0 0 0 \n",
"1 0 0 0 0 0 \n",
"2 0 0 0 0 0 \n",
"3 0 0 0 0 0 \n",
"4 0 0 0 0 0 \n",
"\n",
" swiss_cheese tabasco_pepper tamarind tangerine tarragon tea tequila \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" thai_pepper thyme tomato tomato_juice truffle tuna turkey turmeric \\\n",
"0 0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 0 \n",
"2 1 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 0 \n",
"\n",
" turnip vanilla veal vegetable vegetable_oil vinegar violet walnut \\\n",
"0 0 0 0 0 0 1 0 0 \n",
"1 0 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 1 0 0 0 \n",
"4 0 0 0 0 0 1 0 0 \n",
"\n",
" wasabi watercress watermelon wheat wheat_bread whiskey white_bread \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" white_wine whole_grain_wheat_flour wine wood yam yeast yogurt \\\n",
"0 0 0 0 0 0 0 0 \n",
"1 0 0 0 0 0 0 0 \n",
"2 0 0 0 0 0 0 0 \n",
"3 0 0 0 0 0 0 0 \n",
"4 0 0 0 0 0 0 0 \n",
"\n",
" zucchini \n",
"0 0 \n",
"1 0 \n",
"2 0 \n",
"3 0 \n",
"4 0 "
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"recipes.head()"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
},
"tags": []
},
"outputs": [
{
"data": {
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" <th>beech</th>\n",
" <th>beef</th>\n",
" <th>beef_broth</th>\n",
" <th>beef_liver</th>\n",
" <th>beer</th>\n",
" <th>beet</th>\n",
" <th>bell_pepper</th>\n",
" <th>bergamot</th>\n",
" <th>berry</th>\n",
" <th>bitter_orange</th>\n",
" <th>black_bean</th>\n",
" <th>black_currant</th>\n",
" <th>black_mustard_seed_oil</th>\n",
" <th>black_pepper</th>\n",
" <th>black_raspberry</th>\n",
" <th>black_sesame_seed</th>\n",
" <th>black_tea</th>\n",
" <th>blackberry</th>\n",
" <th>blackberry_brandy</th>\n",
" <th>blue_cheese</th>\n",
" <th>blueberry</th>\n",
" <th>bone_oil</th>\n",
" <th>bourbon_whiskey</th>\n",
" <th>brandy</th>\n",
" <th>brassica</th>\n",
" <th>bread</th>\n",
" <th>broccoli</th>\n",
" <th>brown_rice</th>\n",
" <th>brussels_sprout</th>\n",
" <th>buckwheat</th>\n",
" <th>butter</th>\n",
" <th>buttermilk</th>\n",
" <th>cabbage</th>\n",
" <th>cabernet_sauvignon_wine</th>\n",
" <th>cacao</th>\n",
" <th>camembert_cheese</th>\n",
" <th>cane_molasses</th>\n",
" <th>caraway</th>\n",
" <th>cardamom</th>\n",
" <th>carnation</th>\n",
" <th>carob</th>\n",
" <th>carrot</th>\n",
" <th>cashew</th>\n",
" <th>cassava</th>\n",
" <th>catfish</th>\n",
" <th>cauliflower</th>\n",
" <th>caviar</th>\n",
" <th>cayenne</th>\n",
" <th>celery</th>\n",
" <th>celery_oil</th>\n",
" <th>cereal</th>\n",
" <th>chamomile</th>\n",
" <th>champagne_wine</th>\n",
" <th>chayote</th>\n",
" <th>cheddar_cheese</th>\n",
" <th>cheese</th>\n",
" <th>cherry</th>\n",
" <th>cherry_brandy</th>\n",
" <th>chervil</th>\n",
" <th>chicken</th>\n",
" <th>chicken_broth</th>\n",
" <th>chicken_liver</th>\n",
" <th>chickpea</th>\n",
" <th>chicory</th>\n",
" <th>chinese_cabbage</th>\n",
" <th>chive</th>\n",
" <th>cider</th>\n",
" <th>cilantro</th>\n",
" <th>cinnamon</th>\n",
" <th>citrus</th>\n",
" <th>citrus_peel</th>\n",
" <th>clam</th>\n",
" <th>clove</th>\n",
" <th>cocoa</th>\n",
" <th>coconut</th>\n",
" <th>coconut_oil</th>\n",
" <th>cod</th>\n",
" <th>coffee</th>\n",
" <th>cognac</th>\n",
" <th>concord_grape</th>\n",
" <th>condiment</th>\n",
" <th>coriander</th>\n",
" <th>corn</th>\n",
" <th>corn_flake</th>\n",
" <th>corn_grit</th>\n",
" <th>cottage_cheese</th>\n",
" <th>crab</th>\n",
" <th>cranberry</th>\n",
" <th>cream</th>\n",
" <th>cream_cheese</th>\n",
" <th>cucumber</th>\n",
" <th>cumin</th>\n",
" <th>cured_pork</th>\n",
" <th>currant</th>\n",
" <th>date</th>\n",
" <th>dill</th>\n",
" <th>durian</th>\n",
" <th>eel</th>\n",
" <th>egg</th>\n",
" <th>egg_noodle</th>\n",
" <th>elderberry</th>\n",
" <th>emmental_cheese</th>\n",
" <th>endive</th>\n",
" <th>enokidake</th>\n",
" <th>fennel</th>\n",
" <th>fenugreek</th>\n",
" <th>feta_cheese</th>\n",
" <th>fig</th>\n",
" <th>fish</th>\n",
" <th>flower</th>\n",
" <th>frankfurter</th>\n",
" <th>fruit</th>\n",
" <th>galanga</th>\n",
" <th>gardenia</th>\n",
" <th>garlic</th>\n",
" <th>gelatin</th>\n",
" <th>geranium</th>\n",
" <th>gin</th>\n",
" <th>ginger</th>\n",
" <th>goat_cheese</th>\n",
" <th>grape</th>\n",
" <th>grape_brandy</th>\n",
" <th>grape_juice</th>\n",
" <th>grapefruit</th>\n",
" <th>green_bell_pepper</th>\n",
" <th>green_tea</th>\n",
" <th>gruyere_cheese</th>\n",
" <th>guava</th>\n",
" <th>haddock</th>\n",
" <th>ham</th>\n",
" <th>hazelnut</th>\n",
" <th>herring</th>\n",
" <th>holy_basil</th>\n",
" <th>honey</th>\n",
" <th>hop</th>\n",
" <th>horseradish</th>\n",
" <th>huckleberry</th>\n",
" <th>jamaican_rum</th>\n",
" <th>japanese_plum</th>\n",
" <th>jasmine</th>\n",
" <th>jasmine_tea</th>\n",
" <th>juniper_berry</th>\n",
" <th>kaffir_lime</th>\n",
" <th>kale</th>\n",
" <th>katsuobushi</th>\n",
" <th>kelp</th>\n",
" <th>kidney_bean</th>\n",
" <th>kiwi</th>\n",
" <th>kohlrabi</th>\n",
" <th>kumquat</th>\n",
" <th>lamb</th>\n",
" <th>lard</th>\n",
" <th>laurel</th>\n",
" <th>lavender</th>\n",
" <th>leaf</th>\n",
" <th>leek</th>\n",
" <th>lemon</th>\n",
" <th>lemon_juice</th>\n",
" <th>lemon_peel</th>\n",
" <th>lemongrass</th>\n",
" <th>lentil</th>\n",
" <th>lettuce</th>\n",
" <th>licorice</th>\n",
" <th>lilac_flower_oil</th>\n",
" <th>lima_bean</th>\n",
" <th>lime</th>\n",
" <th>lime_juice</th>\n",
" <th>lime_peel_oil</th>\n",
" <th>lingonberry</th>\n",
" <th>litchi</th>\n",
" <th>liver</th>\n",
" <th>lobster</th>\n",
" <th>long_pepper</th>\n",
" <th>lovage</th>\n",
" <th>macadamia_nut</th>\n",
" <th>macaroni</th>\n",
" <th>mace</th>\n",
" <th>mackerel</th>\n",
" <th>malt</th>\n",
" <th>mandarin</th>\n",
" <th>mandarin_peel</th>\n",
" <th>mango</th>\n",
" <th>maple_syrup</th>\n",
" <th>marjoram</th>\n",
" <th>mate</th>\n",
" <th>matsutake</th>\n",
" <th>meat</th>\n",
" <th>melon</th>\n",
" <th>milk</th>\n",
" <th>milk_fat</th>\n",
" <th>mint</th>\n",
" <th>mozzarella_cheese</th>\n",
" <th>mung_bean</th>\n",
" <th>munster_cheese</th>\n",
" <th>muscat_grape</th>\n",
" <th>mushroom</th>\n",
" <th>mussel</th>\n",
" <th>mustard</th>\n",
" <th>mutton</th>\n",
" <th>nectarine</th>\n",
" <th>nira</th>\n",
" <th>nut</th>\n",
" <th>nutmeg</th>\n",
" <th>oat</th>\n",
" <th>oatmeal</th>\n",
" <th>octopus</th>\n",
" <th>okra</th>\n",
" <th>olive</th>\n",
" <th>olive_oil</th>\n",
" <th>onion</th>\n",
" <th>orange</th>\n",
" <th>orange_flower</th>\n",
" <th>orange_juice</th>\n",
" <th>orange_peel</th>\n",
" <th>oregano</th>\n",
" <th>ouzo</th>\n",
" <th>oyster</th>\n",
" <th>palm</th>\n",
" <th>papaya</th>\n",
" <th>parmesan_cheese</th>\n",
" <th>parsley</th>\n",
" <th>parsnip</th>\n",
" <th>passion_fruit</th>\n",
" <th>pea</th>\n",
" <th>peach</th>\n",
" <th>peanut</th>\n",
" <th>peanut_butter</th>\n",
" <th>peanut_oil</th>\n",
" <th>pear</th>\n",
" <th>pear_brandy</th>\n",
" <th>pecan</th>\n",
" <th>pelargonium</th>\n",
" <th>pepper</th>\n",
" <th>peppermint</th>\n",
" <th>peppermint_oil</th>\n",
" <th>pimenta</th>\n",
" <th>pimento</th>\n",
" <th>pineapple</th>\n",
" <th>pistachio</th>\n",
" <th>plum</th>\n",
" <th>popcorn</th>\n",
" <th>porcini</th>\n",
" <th>pork</th>\n",
" <th>pork_liver</th>\n",
" <th>pork_sausage</th>\n",
" <th>port_wine</th>\n",
" <th>potato</th>\n",
" <th>potato_chip</th>\n",
" <th>prawn</th>\n",
" <th>prickly_pear</th>\n",
" <th>provolone_cheese</th>\n",
" <th>pumpkin</th>\n",
" <th>quince</th>\n",
" <th>radish</th>\n",
" <th>raisin</th>\n",
" <th>rapeseed</th>\n",
" <th>raspberry</th>\n",
" <th>raw_beef</th>\n",
" <th>red_algae</th>\n",
" <th>red_bean</th>\n",
" <th>red_kidney_bean</th>\n",
" <th>red_wine</th>\n",
" <th>rhubarb</th>\n",
" <th>rice</th>\n",
" <th>roasted_almond</th>\n",
" <th>roasted_beef</th>\n",
" <th>roasted_hazelnut</th>\n",
" <th>roasted_meat</th>\n",
" <th>roasted_nut</th>\n",
" <th>roasted_peanut</th>\n",
" <th>roasted_pecan</th>\n",
" <th>roasted_pork</th>\n",
" <th>roasted_sesame_seed</th>\n",
" <th>romano_cheese</th>\n",
" <th>root</th>\n",
" <th>roquefort_cheese</th>\n",
" <th>rose</th>\n",
" <th>rosemary</th>\n",
" <th>rum</th>\n",
" <th>rutabaga</th>\n",
" <th>rye_bread</th>\n",
" <th>rye_flour</th>\n",
" <th>saffron</th>\n",
" <th>sage</th>\n",
" <th>sake</th>\n",
" <th>salmon</th>\n",
" <th>salmon_roe</th>\n",
" <th>sassafras</th>\n",
" <th>sauerkraut</th>\n",
" <th>savory</th>\n",
" <th>scallion</th>\n",
" <th>scallop</th>\n",
" <th>sea_algae</th>\n",
" <th>seaweed</th>\n",
" <th>seed</th>\n",
" <th>sesame_oil</th>\n",
" <th>sesame_seed</th>\n",
" <th>shallot</th>\n",
" <th>sheep_cheese</th>\n",
" <th>shellfish</th>\n",
" <th>sherry</th>\n",
" <th>shiitake</th>\n",
" <th>shrimp</th>\n",
" <th>smoke</th>\n",
" <th>smoked_fish</th>\n",
" <th>smoked_salmon</th>\n",
" <th>smoked_sausage</th>\n",
" <th>sour_cherry</th>\n",
" <th>sour_milk</th>\n",
" <th>soy_sauce</th>\n",
" <th>soybean</th>\n",
" <th>soybean_oil</th>\n",
" <th>spearmint</th>\n",
" <th>squash</th>\n",
" <th>squid</th>\n",
" <th>star_anise</th>\n",
" <th>starch</th>\n",
" <th>strawberry</th>\n",
" <th>strawberry_jam</th>\n",
" <th>strawberry_juice</th>\n",
" <th>sturgeon_caviar</th>\n",
" <th>sumac</th>\n",
" <th>sunflower_oil</th>\n",
" <th>sweet_potato</th>\n",
" <th>swiss_cheese</th>\n",
" <th>tabasco_pepper</th>\n",
" <th>tamarind</th>\n",
" <th>tangerine</th>\n",
" <th>tarragon</th>\n",
" <th>tea</th>\n",
" <th>tequila</th>\n",
" <th>thai_pepper</th>\n",
" <th>thyme</th>\n",
" <th>tomato</th>\n",
" <th>tomato_juice</th>\n",
" <th>truffle</th>\n",
" <th>tuna</th>\n",
" <th>turkey</th>\n",
" <th>turmeric</th>\n",
" <th>turnip</th>\n",
" <th>vanilla</th>\n",
" <th>veal</th>\n",
" <th>vegetable</th>\n",
" <th>vegetable_oil</th>\n",
" <th>vinegar</th>\n",
" <th>violet</th>\n",
" <th>walnut</th>\n",
" <th>wasabi</th>\n",
" <th>watercress</th>\n",
" <th>watermelon</th>\n",
" <th>wheat</th>\n",
" <th>wheat_bread</th>\n",
" <th>whiskey</th>\n",
" <th>white_bread</th>\n",
" <th>white_wine</th>\n",
" <th>whole_grain_wheat_flour</th>\n",
" <th>wine</th>\n",
" <th>wood</th>\n",
" <th>yam</th>\n",
" <th>yeast</th>\n",
" <th>yogurt</th>\n",
" <th>zucchini</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>11306</th>\n",
" <td>japanese</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
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" </tr>\n",
" <tr>\n",
" <th>11321</th>\n",
" <td>japanese</td>\n",
" <td>0</td>\n",
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" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" cuisine almond angelica anise anise_seed apple apple_brandy \\\n",
"11306 japanese 0 0 0 0 0 0 \n",
"11321 japanese 0 0 0 0 0 0 \n",
"11361 japanese 0 0 0 0 0 0 \n",
"12171 asian 0 0 0 0 0 0 \n",
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"13010 asian 0 0 0 0 0 0 \n",
"13159 asian 0 0 0 0 0 0 \n",
"13513 japanese 0 0 0 0 0 0 \n",
"13586 japanese 0 0 0 0 0 0 \n",
"13625 east_asian 0 0 0 0 0 0 \n",
"14495 east_asian 0 0 0 0 0 0 \n",
"\n",
" apricot armagnac artemisia artichoke asparagus avocado bacon \\\n",
"11306 0 0 0 0 0 1 0 \n",
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"\n",
" baked_potato balm banana barley bartlett_pear basil bay bean \\\n",
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"\n",
" beech beef beef_broth beef_liver beer beet bell_pepper bergamot \\\n",
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"\n",
" berry bitter_orange black_bean black_currant \\\n",
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"\n",
" black_mustard_seed_oil black_pepper black_raspberry \\\n",
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"\n",
" black_sesame_seed black_tea blackberry blackberry_brandy \\\n",
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"\n",
" blue_cheese blueberry bone_oil bourbon_whiskey brandy brassica \\\n",
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"\n",
" bread broccoli brown_rice brussels_sprout buckwheat butter \\\n",
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"\n",
" buttermilk cabbage cabernet_sauvignon_wine cacao camembert_cheese \\\n",
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"\n",
" cane_molasses caraway cardamom carnation carob carrot cashew \\\n",
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"\n",
" cassava catfish cauliflower caviar cayenne celery celery_oil \\\n",
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"\n",
" cereal chamomile champagne_wine chayote cheddar_cheese cheese \\\n",
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"\n",
" cherry cherry_brandy chervil chicken chicken_broth chicken_liver \\\n",
"11306 0 0 0 0 0 0 \n",
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"\n",
" chickpea chicory chinese_cabbage chive cider cilantro cinnamon \\\n",
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"14495 0 0 0 0 0 0 0 \n",
"\n",
" citrus citrus_peel clam clove cocoa coconut coconut_oil cod \\\n",
"11306 0 0 0 0 0 0 0 0 \n",
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"13586 0 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 0 0 \n",
"\n",
" coffee cognac concord_grape condiment coriander corn corn_flake \\\n",
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"13513 0 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 0 \n",
"\n",
" corn_grit cottage_cheese crab cranberry cream cream_cheese \\\n",
"11306 0 0 1 0 0 0 \n",
"11321 0 0 0 0 0 0 \n",
"11361 0 0 1 0 0 0 \n",
"12171 0 0 0 0 0 0 \n",
"12385 0 0 1 0 0 0 \n",
"13010 0 0 1 0 0 0 \n",
"13159 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 \n",
"\n",
" cucumber cumin cured_pork currant date dill durian eel egg \\\n",
"11306 1 0 0 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 0 0 1 \n",
"11361 1 0 0 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 0 0 1 \n",
"12385 1 0 0 0 0 0 0 0 0 \n",
"13010 1 0 0 0 0 0 0 0 0 \n",
"13159 1 0 0 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 0 0 1 \n",
"13586 1 0 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 0 0 1 \n",
"14495 1 0 0 0 0 0 0 0 0 \n",
"\n",
" egg_noodle elderberry emmental_cheese endive enokidake fennel \\\n",
"11306 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 \n",
"\n",
" fenugreek feta_cheese fig fish flower frankfurter fruit galanga \\\n",
"11306 0 0 0 0 0 0 0 0 \n",
"11321 0 0 0 1 0 0 0 0 \n",
"11361 0 0 0 0 0 0 0 0 \n",
"12171 0 0 0 1 0 0 0 0 \n",
"12385 0 0 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 0 0 \n",
"13513 0 0 0 1 0 0 0 0 \n",
"13586 0 0 0 0 0 0 0 0 \n",
"13625 0 0 0 1 0 0 0 0 \n",
"14495 0 0 0 0 0 0 0 0 \n",
"\n",
" gardenia garlic gelatin geranium gin ginger goat_cheese grape \\\n",
"11306 0 0 0 0 0 1 0 0 \n",
"11321 0 0 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 1 0 0 \n",
"12171 0 0 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 1 0 0 \n",
"13010 0 0 0 0 0 1 0 0 \n",
"13159 0 0 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 1 0 0 \n",
"13586 0 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 1 0 0 \n",
"14495 0 0 0 0 0 0 0 0 \n",
"\n",
" grape_brandy grape_juice grapefruit green_bell_pepper green_tea \\\n",
"11306 0 0 0 0 0 \n",
"11321 0 0 0 0 0 \n",
"11361 0 0 0 0 0 \n",
"12171 0 0 0 0 0 \n",
"12385 0 0 0 0 0 \n",
"13010 0 0 0 0 0 \n",
"13159 0 0 0 0 0 \n",
"13513 0 0 0 0 0 \n",
"13586 0 0 0 0 0 \n",
"13625 0 0 0 0 0 \n",
"14495 0 0 0 0 0 \n",
"\n",
" gruyere_cheese guava haddock ham hazelnut herring holy_basil \\\n",
"11306 0 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 0 \n",
"\n",
" honey hop horseradish huckleberry jamaican_rum japanese_plum \\\n",
"11306 0 0 1 0 0 0 \n",
"11321 0 0 0 0 0 0 \n",
"11361 0 0 1 0 0 0 \n",
"12171 0 0 0 0 0 0 \n",
"12385 0 0 1 0 0 0 \n",
"13010 0 0 1 0 0 0 \n",
"13159 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 \n",
"\n",
" jasmine jasmine_tea juniper_berry kaffir_lime kale katsuobushi \\\n",
"11306 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 1 \n",
"11361 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 1 \n",
"12385 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 \n",
"\n",
" kelp kidney_bean kiwi kohlrabi kumquat lamb lard laurel \\\n",
"11306 0 0 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 0 0 \n",
"\n",
" lavender leaf leek lemon lemon_juice lemon_peel lemongrass \\\n",
"11306 0 0 0 0 1 0 0 \n",
"11321 0 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 0 \n",
"13010 0 0 0 0 1 0 0 \n",
"13159 0 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 0 \n",
"\n",
" lentil lettuce licorice lilac_flower_oil lima_bean lime \\\n",
"11306 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 \n",
"13586 0 1 0 0 0 0 \n",
"13625 0 0 0 0 0 0 \n",
"14495 0 1 0 0 0 0 \n",
"\n",
" lime_juice lime_peel_oil lingonberry litchi liver lobster \\\n",
"11306 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 \n",
"\n",
" long_pepper lovage macadamia_nut macaroni mace mackerel malt \\\n",
"11306 0 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 0 \n",
"\n",
" mandarin mandarin_peel mango maple_syrup marjoram mate matsutake \\\n",
"11306 0 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 0 \n",
"\n",
" meat melon milk milk_fat mint mozzarella_cheese mung_bean \\\n",
"11306 0 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 0 \n",
"\n",
" munster_cheese muscat_grape mushroom mussel mustard mutton \\\n",
"11306 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 \n",
"\n",
" nectarine nira nut nutmeg oat oatmeal octopus okra olive \\\n",
"11306 0 0 0 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 1 0 0 \n",
"13586 0 0 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 1 0 0 \n",
"14495 0 0 0 0 0 0 0 0 0 \n",
"\n",
" olive_oil onion orange orange_flower orange_juice orange_peel \\\n",
"11306 0 0 0 0 0 0 \n",
"11321 0 1 0 0 0 0 \n",
"11361 0 0 0 0 0 0 \n",
"12171 0 1 0 0 0 0 \n",
"12385 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 \n",
"\n",
" oregano ouzo oyster palm papaya parmesan_cheese parsley parsnip \\\n",
"11306 0 0 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 0 0 \n",
"\n",
" passion_fruit pea peach peanut peanut_butter peanut_oil pear \\\n",
"11306 0 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 0 \n",
"\n",
" pear_brandy pecan pelargonium pepper peppermint peppermint_oil \\\n",
"11306 0 0 0 0 0 0 \n",
"11321 0 0 0 1 0 0 \n",
"11361 0 0 0 0 0 0 \n",
"12171 0 0 0 1 0 0 \n",
"12385 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 \n",
"\n",
" pimenta pimento pineapple pistachio plum popcorn porcini pork \\\n",
"11306 0 0 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 0 0 \n",
"\n",
" pork_liver pork_sausage port_wine potato potato_chip prawn \\\n",
"11306 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 \n",
"\n",
" prickly_pear provolone_cheese pumpkin quince radish raisin \\\n",
"11306 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 \n",
"13513 0 0 0 0 1 0 \n",
"13586 0 0 0 0 1 0 \n",
"13625 0 0 0 0 1 0 \n",
"14495 0 0 0 0 1 0 \n",
"\n",
" rapeseed raspberry raw_beef red_algae red_bean red_kidney_bean \\\n",
"11306 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 \n",
"\n",
" red_wine rhubarb rice roasted_almond roasted_beef \\\n",
"11306 0 0 1 0 0 \n",
"11321 0 0 1 0 0 \n",
"11361 0 0 1 0 0 \n",
"12171 0 0 1 0 0 \n",
"12385 0 0 1 0 0 \n",
"13010 0 0 1 0 0 \n",
"13159 0 0 1 0 0 \n",
"13513 0 0 1 0 0 \n",
"13586 0 0 1 0 0 \n",
"13625 0 0 1 0 0 \n",
"14495 0 0 1 0 0 \n",
"\n",
" roasted_hazelnut roasted_meat roasted_nut roasted_peanut \\\n",
"11306 0 0 0 0 \n",
"11321 0 0 0 0 \n",
"11361 0 0 0 0 \n",
"12171 0 0 0 0 \n",
"12385 0 0 0 0 \n",
"13010 0 0 0 0 \n",
"13159 0 0 0 0 \n",
"13513 0 0 0 0 \n",
"13586 0 0 0 0 \n",
"13625 0 0 0 0 \n",
"14495 0 0 0 0 \n",
"\n",
" roasted_pecan roasted_pork roasted_sesame_seed romano_cheese root \\\n",
"11306 0 0 0 0 0 \n",
"11321 0 0 0 0 0 \n",
"11361 0 0 0 0 0 \n",
"12171 0 0 0 0 0 \n",
"12385 0 0 0 0 0 \n",
"13010 0 0 0 0 0 \n",
"13159 0 0 0 0 1 \n",
"13513 0 0 0 0 0 \n",
"13586 0 0 0 0 0 \n",
"13625 0 0 0 0 0 \n",
"14495 0 0 0 0 0 \n",
"\n",
" roquefort_cheese rose rosemary rum rutabaga rye_bread rye_flour \\\n",
"11306 0 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 0 \n",
"\n",
" saffron sage sake salmon salmon_roe sassafras sauerkraut savory \\\n",
"11306 0 0 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 0 0 \n",
"\n",
" scallion scallop sea_algae seaweed seed sesame_oil sesame_seed \\\n",
"11306 0 0 0 1 1 0 0 \n",
"11321 0 0 0 1 0 0 0 \n",
"11361 1 0 0 1 0 0 1 \n",
"12171 0 0 0 1 0 0 0 \n",
"12385 1 0 0 1 0 0 1 \n",
"13010 0 0 0 1 1 0 0 \n",
"13159 0 0 0 1 0 0 0 \n",
"13513 0 0 0 1 0 0 0 \n",
"13586 0 0 0 1 0 0 0 \n",
"13625 0 0 0 1 0 0 0 \n",
"14495 0 0 0 1 0 0 0 \n",
"\n",
" shallot sheep_cheese shellfish sherry shiitake shrimp smoke \\\n",
"11306 0 0 0 1 0 0 0 \n",
"11321 0 0 0 0 1 1 0 \n",
"11361 0 0 0 0 0 0 0 \n",
"12171 0 0 0 0 1 1 0 \n",
"12385 0 0 0 0 0 0 0 \n",
"13010 0 0 0 1 0 0 0 \n",
"13159 0 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 1 0 \n",
"13586 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 1 0 \n",
"14495 0 0 0 0 0 0 0 \n",
"\n",
" smoked_fish smoked_salmon smoked_sausage sour_cherry sour_milk \\\n",
"11306 0 0 0 0 0 \n",
"11321 0 0 0 0 0 \n",
"11361 0 0 0 0 0 \n",
"12171 0 0 0 0 0 \n",
"12385 0 0 0 0 0 \n",
"13010 0 0 0 0 0 \n",
"13159 0 0 0 0 0 \n",
"13513 0 0 0 0 0 \n",
"13586 0 1 0 0 0 \n",
"13625 0 0 0 0 0 \n",
"14495 0 1 0 0 0 \n",
"\n",
" soy_sauce soybean soybean_oil spearmint squash squid star_anise \\\n",
"11306 1 0 0 0 0 0 0 \n",
"11321 1 0 0 0 0 0 0 \n",
"11361 1 0 0 0 0 0 0 \n",
"12171 1 0 0 0 0 0 0 \n",
"12385 1 0 0 0 0 0 0 \n",
"13010 1 0 0 0 0 0 0 \n",
"13159 1 0 0 0 0 0 0 \n",
"13513 1 0 0 0 0 1 0 \n",
"13586 1 0 0 0 0 0 0 \n",
"13625 1 0 0 0 0 1 0 \n",
"14495 1 0 0 0 0 0 0 \n",
"\n",
" starch strawberry strawberry_jam strawberry_juice sturgeon_caviar \\\n",
"11306 0 0 0 0 0 \n",
"11321 1 0 0 0 0 \n",
"11361 0 0 0 0 0 \n",
"12171 1 0 0 0 0 \n",
"12385 0 0 0 0 0 \n",
"13010 0 0 0 0 0 \n",
"13159 0 0 0 0 0 \n",
"13513 0 0 0 0 0 \n",
"13586 0 0 0 0 0 \n",
"13625 0 0 0 0 0 \n",
"14495 0 0 0 0 0 \n",
"\n",
" sumac sunflower_oil sweet_potato swiss_cheese tabasco_pepper \\\n",
"11306 0 0 0 0 0 \n",
"11321 0 0 0 0 0 \n",
"11361 0 0 0 0 0 \n",
"12171 0 0 0 0 0 \n",
"12385 0 0 0 0 0 \n",
"13010 0 0 0 0 0 \n",
"13159 0 0 0 0 0 \n",
"13513 0 0 0 0 0 \n",
"13586 0 0 0 0 0 \n",
"13625 0 0 0 0 0 \n",
"14495 0 0 0 0 0 \n",
"\n",
" tamarind tangerine tarragon tea tequila thai_pepper thyme \\\n",
"11306 0 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 0 \n",
"\n",
" tomato tomato_juice truffle tuna turkey turmeric turnip vanilla \\\n",
"11306 0 0 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 0 0 \n",
"13513 0 0 0 1 0 0 0 0 \n",
"13586 0 0 0 0 0 0 0 0 \n",
"13625 0 0 0 1 0 0 0 0 \n",
"14495 0 0 0 0 0 0 0 0 \n",
"\n",
" veal vegetable vegetable_oil vinegar violet walnut wasabi \\\n",
"11306 0 0 0 1 0 0 1 \n",
"11321 0 0 1 1 0 0 1 \n",
"11361 0 0 1 1 0 0 1 \n",
"12171 0 0 1 1 0 0 1 \n",
"12385 0 0 1 1 0 0 1 \n",
"13010 0 0 0 1 0 0 1 \n",
"13159 0 0 0 1 0 0 1 \n",
"13513 0 0 0 1 0 0 1 \n",
"13586 0 0 0 1 0 0 1 \n",
"13625 0 0 0 1 0 0 1 \n",
"14495 0 0 0 1 0 0 1 \n",
"\n",
" watercress watermelon wheat wheat_bread whiskey white_bread \\\n",
"11306 0 0 0 0 0 0 \n",
"11321 0 0 0 0 0 0 \n",
"11361 0 0 0 0 0 0 \n",
"12171 0 0 0 0 0 0 \n",
"12385 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 \n",
"\n",
" white_wine whole_grain_wheat_flour wine wood yam yeast yogurt \\\n",
"11306 0 0 0 0 0 0 0 \n",
"11321 0 0 1 0 0 0 0 \n",
"11361 0 0 0 0 0 0 0 \n",
"12171 0 0 1 0 0 0 0 \n",
"12385 0 0 0 0 0 0 0 \n",
"13010 0 0 0 0 0 0 0 \n",
"13159 0 0 0 0 0 0 0 \n",
"13513 0 0 0 0 0 0 0 \n",
"13586 0 0 0 0 0 0 0 \n",
"13625 0 0 0 0 0 0 0 \n",
"14495 0 0 0 0 0 0 0 \n",
"\n",
" zucchini \n",
"11306 0 \n",
"11321 0 \n",
"11361 0 \n",
"12171 0 \n",
"12385 0 \n",
"13010 0 \n",
"13159 0 \n",
"13513 0 \n",
"13586 0 \n",
"13625 0 \n",
"14495 0 "
]
},
"execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"check_recipes = recipes.loc[\n",
" (recipes[\"rice\"] == 1) &\n",
" (recipes[\"soy_sauce\"] == 1) &\n",
" (recipes[\"wasabi\"] == 1) &\n",
" (recipes[\"seaweed\"] == 1)\n",
"]\n",
"\n",
"check_recipes"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Based on the results of the above code, can we classify all recipes that contain **rice** _and_ **soy** _and_ **wasabi** _and_ **seaweed** as **Japanese** recipes? Why?\n"
]
},
{
"cell_type": "raw",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Your Answer:No, because other cusines like Asian, also have these ingredients"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"<details><summary>Click here for a solution</summary>\n",
"\n",
"```python\n",
" #The correct answer is:\n",
" \n",
" No, because other recipes such as Asian and East_Asian recipes also contain these ingredients.\n",
"```\n",
"\n",
"</details>\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Let's count the ingredients across all recipes.\n"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
},
"tags": []
},
"outputs": [],
"source": [
"# sum each column\n",
"ing = recipes.iloc[:, 1:].sum(axis=0)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" ingredient count\n",
"0 almond 2306\n",
"1 angelica 1\n",
"2 anise 223\n",
"3 anise_seed 87\n",
"4 apple 2420\n",
"5 apple_brandy 37\n",
"6 apricot 619\n",
"7 armagnac 11\n",
"8 artemisia 13\n",
"9 artichoke 391\n",
"10 asparagus 459\n",
"11 avocado 660\n",
"12 bacon 2166\n",
"13 baked_potato 9\n",
"14 balm 3\n",
"15 banana 989\n",
"16 barley 266\n",
"17 bartlett_pear 23\n",
"18 basil 3833\n",
"19 bay 1457\n",
"20 bean 1971\n",
"21 beech 1\n",
"22 beef 4877\n",
"23 beef_broth 842\n",
"24 beef_liver 10\n",
"25 beer 307\n",
"26 beet 233\n",
"27 bell_pepper 5957\n",
"28 bergamot 7\n",
"29 berry 183\n",
"30 bitter_orange 85\n",
"31 black_bean 494\n",
"32 black_currant 11\n",
"33 black_mustard_seed_oil 30\n",
"34 black_pepper 9795\n",
"35 black_raspberry 8\n",
"36 black_sesame_seed 26\n",
"37 black_tea 44\n",
"38 blackberry 170\n",
"39 blackberry_brandy 4\n",
"40 blue_cheese 396\n",
"41 blueberry 466\n",
"42 bone_oil 50\n",
"43 bourbon_whiskey 156\n",
"44 brandy 395\n",
"45 brassica 114\n",
"46 bread 4567\n",
"47 broccoli 929\n",
"48 brown_rice 345\n",
"49 brussels_sprout 92\n",
"50 buckwheat 90\n",
"51 butter 20699\n",
"52 buttermilk 1634\n",
"53 cabbage 1011\n",
"54 cabernet_sauvignon_wine 17\n",
"55 cacao 35\n",
"56 camembert_cheese 12\n",
"57 cane_molasses 7735\n",
"58 caraway 233\n",
"59 cardamom 352\n",
"60 carnation 3\n",
"61 carob 7\n",
"62 carrot 3673\n",
"63 cashew 208\n",
"64 cassava 19\n",
"65 catfish 71\n",
"66 cauliflower 332\n",
"67 caviar 28\n",
"68 cayenne 8225\n",
"69 celery 3621\n",
"70 celery_oil 1002\n",
"71 cereal 204\n",
"72 chamomile 3\n",
"73 champagne_wine 100\n",
"74 chayote 27\n",
"75 cheddar_cheese 3027\n",
"76 cheese 3278\n",
"77 cherry 1082\n",
"78 cherry_brandy 32\n",
"79 chervil 52\n",
"80 chicken 5425\n",
"81 chicken_broth 3598\n",
"82 chicken_liver 52\n",
"83 chickpea 401\n",
"84 chicory 156\n",
"85 chinese_cabbage 165\n",
"86 chive 1332\n",
"87 cider 1129\n",
"88 cilantro 2454\n",
"89 cinnamon 5589\n",
"90 citrus 167\n",
"91 citrus_peel 4\n",
"92 clam 472\n",
"93 clove 10\n",
"94 cocoa 4797\n",
"95 coconut 1800\n",
"96 coconut_oil 17\n",
"97 cod 179\n",
"98 coffee 718\n",
"99 cognac 67\n",
"100 concord_grape 12\n",
"101 condiment 9\n",
"102 coriander 1646\n",
"103 corn 4824\n",
"104 corn_flake 225\n",
"105 corn_grit 163\n",
"106 cottage_cheese 347\n",
"107 crab 571\n",
"108 cranberry 920\n",
"109 cream 10169\n",
"110 cream_cheese 2840\n",
"111 cucumber 1888\n",
"112 cumin 3270\n",
"113 cured_pork 315\n",
"114 currant 240\n",
"115 date 375\n",
"116 dill 1105\n",
"117 durian 0\n",
"118 eel 20\n",
"119 egg 20997\n",
"120 egg_noodle 316\n",
"121 elderberry 5\n",
"122 emmental_cheese 1\n",
"123 endive 115\n",
"124 enokidake 106\n",
"125 fennel 912\n",
"126 fenugreek 923\n",
"127 feta_cheese 623\n",
"128 fig 139\n",
"129 fish 2087\n",
"130 flower 32\n",
"131 frankfurter 37\n",
"132 fruit 479\n",
"133 galanga 49\n",
"134 gardenia 9\n",
"135 garlic 17287\n",
"136 gelatin 1415\n",
"137 geranium 1\n",
"138 gin 68\n",
"139 ginger 4340\n",
"140 goat_cheese 260\n",
"141 grape 346\n",
"142 grape_brandy 8\n",
"143 grape_juice 824\n",
"144 grapefruit 121\n",
"145 green_bell_pepper 2579\n",
"146 green_tea 35\n",
"147 gruyere_cheese 45\n",
"148 guava 13\n",
"149 haddock 31\n",
"150 ham 1298\n",
"151 hazelnut 284\n",
"152 herring 10\n",
"153 holy_basil 3\n",
"154 honey 2550\n",
"155 hop 3\n",
"156 horseradish 396\n",
"157 huckleberry 10\n",
"158 jamaican_rum 1\n",
"159 japanese_plum 13\n",
"160 jasmine 8\n",
"161 jasmine_tea 2\n",
"162 juniper_berry 33\n",
"163 kaffir_lime 1\n",
"164 kale 96\n",
"165 katsuobushi 63\n",
"166 kelp 179\n",
"167 kidney_bean 436\n",
"168 kiwi 109\n",
"169 kohlrabi 6\n",
"170 kumquat 33\n",
"171 lamb 481\n",
"172 lard 3049\n",
"173 laurel 2\n",
"174 lavender 62\n",
"175 leaf 9\n",
"176 leek 422\n",
"177 lemon 3037\n",
"178 lemon_juice 5060\n",
"179 lemon_peel 728\n",
"180 lemongrass 211\n",
"181 lentil 247\n",
"182 lettuce 1199\n",
"183 licorice 21\n",
"184 lilac_flower_oil 1\n",
"185 lima_bean 149\n",
"186 lime 1152\n",
"187 lime_juice 1611\n",
"188 lime_peel_oil 108\n",
"189 lingonberry 9\n",
"190 litchi 12\n",
"191 liver 42\n",
"192 lobster 131\n",
"193 long_pepper 2\n",
"194 lovage 142\n",
"195 macadamia_nut 102\n",
"196 macaroni 3112\n",
"197 mace 117\n",
"198 mackerel 44\n",
"199 malt 37\n",
"200 mandarin 279\n",
"201 mandarin_peel 15\n",
"202 mango 418\n",
"203 maple_syrup 477\n",
"204 marjoram 527\n",
"205 mate 1\n",
"206 matsutake 57\n",
"207 meat 985\n",
"208 melon 163\n",
"209 milk 12855\n",
"210 milk_fat 959\n",
"211 mint 1004\n",
"212 mozzarella_cheese 1288\n",
"213 mung_bean 23\n",
"214 munster_cheese 27\n",
"215 muscat_grape 1\n",
"216 mushroom 3367\n",
"217 mussel 168\n",
"218 mustard 4118\n",
"219 mutton 3\n",
"220 nectarine 51\n",
"221 nira 67\n",
"222 nut 1254\n",
"223 nutmeg 2504\n",
"224 oat 1265\n",
"225 oatmeal 61\n",
"226 octopus 45\n",
"227 okra 102\n",
"228 olive 1798\n",
"229 olive_oil 9855\n",
"230 onion 18033\n",
"231 orange 1721\n",
"232 orange_flower 17\n",
"233 orange_juice 1725\n",
"234 orange_peel 596\n",
"235 oregano 3177\n",
"236 ouzo 9\n",
"237 oyster 404\n",
"238 palm 46\n",
"239 papaya 57\n",
"240 parmesan_cheese 3173\n",
"241 parsley 5541\n",
"242 parsnip 139\n",
"243 passion_fruit 20\n",
"244 pea 1178\n",
"245 peach 531\n",
"246 peanut 505\n",
"247 peanut_butter 1014\n",
"248 peanut_oil 304\n",
"249 pear 482\n",
"250 pear_brandy 11\n",
"251 pecan 2176\n",
"252 pelargonium 1\n",
"253 pepper 9200\n",
"254 peppermint 142\n",
"255 peppermint_oil 8\n",
"256 pimenta 0\n",
"257 pimento 270\n",
"258 pineapple 1637\n",
"259 pistachio 219\n",
"260 plum 288\n",
"261 popcorn 97\n",
"262 porcini 106\n",
"263 pork 2048\n",
"264 pork_liver 5\n",
"265 pork_sausage 1357\n",
"266 port_wine 48\n",
"267 potato 3510\n",
"268 potato_chip 65\n",
"269 prawn 24\n",
"270 prickly_pear 20\n",
"271 provolone_cheese 168\n",
"272 pumpkin 803\n",
"273 quince 28\n",
"274 radish 522\n",
"275 raisin 1889\n",
"276 rapeseed 3\n",
"277 raspberry 784\n",
"278 raw_beef 2\n",
"279 red_algae 2\n",
"280 red_bean 33\n",
"281 red_kidney_bean 59\n",
"282 red_wine 1393\n",
"283 rhubarb 169\n",
"284 rice 3829\n",
"285 roasted_almond 3\n",
"286 roasted_beef 226\n",
"287 roasted_hazelnut 1\n",
"288 roasted_meat 15\n",
"289 roasted_nut 1\n",
"290 roasted_peanut 201\n",
"291 roasted_pecan 1\n",
"292 roasted_pork 124\n",
"293 roasted_sesame_seed 593\n",
"294 romano_cheese 275\n",
"295 root 101\n",
"296 roquefort_cheese 23\n",
"297 rose 56\n",
"298 rosemary 1892\n",
"299 rum 599\n",
"300 rutabaga 34\n",
"301 rye_bread 92\n",
"302 rye_flour 131\n",
"303 saffron 234\n",
"304 sage 904\n",
"305 sake 680\n",
"306 salmon 451\n",
"307 salmon_roe 15\n",
"308 sassafras 18\n",
"309 sauerkraut 185\n",
"310 savory 127\n",
"311 scallion 4760\n",
"312 scallop 300\n",
"313 sea_algae 4\n",
"314 seaweed 212\n",
"315 seed 1340\n",
"316 sesame_oil 1671\n",
"317 sesame_seed 764\n",
"318 shallot 1301\n",
"319 sheep_cheese 2\n",
"320 shellfish 27\n",
"321 sherry 705\n",
"322 shiitake 594\n",
"323 shrimp 1672\n",
"324 smoke 460\n",
"325 smoked_fish 6\n",
"326 smoked_salmon 100\n",
"327 smoked_sausage 267\n",
"328 sour_cherry 50\n",
"329 sour_milk 46\n",
"330 soy_sauce 3765\n",
"331 soybean 1184\n",
"332 soybean_oil 2\n",
"333 spearmint 6\n",
"334 squash 571\n",
"335 squid 237\n",
"336 star_anise 129\n",
"337 starch 2723\n",
"338 strawberry 1080\n",
"339 strawberry_jam 1\n",
"340 strawberry_juice 2\n",
"341 sturgeon_caviar 1\n",
"342 sumac 11\n",
"343 sunflower_oil 8\n",
"344 sweet_potato 527\n",
"345 swiss_cheese 519\n",
"346 tabasco_pepper 971\n",
"347 tamarind 1670\n",
"348 tangerine 52\n",
"349 tarragon 478\n",
"350 tea 108\n",
"351 tequila 142\n",
"352 thai_pepper 136\n",
"353 thyme 3043\n",
"354 tomato 9902\n",
"355 tomato_juice 176\n",
"356 truffle 52\n",
"357 tuna 461\n",
"358 turkey 900\n",
"359 turmeric 1289\n",
"360 turnip 188\n",
"361 vanilla 9005\n",
"362 veal 197\n",
"363 vegetable 1700\n",
"364 vegetable_oil 11078\n",
"365 vinegar 8038\n",
"366 violet 5\n",
"367 walnut 2727\n",
"368 wasabi 135\n",
"369 watercress 149\n",
"370 watermelon 110\n",
"371 wheat 20757\n",
"372 wheat_bread 82\n",
"373 whiskey 148\n",
"374 white_bread 370\n",
"375 white_wine 2196\n",
"376 whole_grain_wheat_flour 731\n",
"377 wine 1019\n",
"378 wood 33\n",
"379 yam 85\n",
"380 yeast 3377\n",
"381 yogurt 1033\n",
"382 zucchini 1100\n"
]
}
],
"source": [
"# define each column as a pandas series\n",
"ingredient = pd.Series(ing.index.values, index = np.arange(len(ing)))\n",
"count = pd.Series(list(ing), index = np.arange(len(ing)))\n",
"\n",
"# create the dataframe\n",
"ing_df = pd.DataFrame(dict(ingredient = ingredient, count = count))\n",
"ing_df = ing_df[[\"ingredient\", \"count\"]]\n",
"print(ing_df.to_string())"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Now we have a dataframe of ingredients and their total counts across all recipes. Let's sort this dataframe in descending order.\n"
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
},
"tags": []
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
" ingredient count\n",
"0 egg 20997\n",
"1 wheat 20757\n",
"2 butter 20699\n",
"3 onion 18033\n",
"4 garlic 17287\n",
".. ... ...\n",
"378 sturgeon_caviar 1\n",
"379 kaffir_lime 1\n",
"380 beech 1\n",
"381 durian 0\n",
"382 pimenta 0\n",
"\n",
"[383 rows x 2 columns]\n"
]
}
],
"source": [
"ing_df.sort_values([\"count\"], ascending=False, inplace=True)\n",
"ing_df.reset_index(inplace=True, drop=True)\n",
"\n",
"print(ing_df)"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### What are the 3 most popular ingredients?\n"
]
},
{
"cell_type": "raw",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Your Answer:\n",
"1.egg\n",
"\n",
"2.wheat\n",
"\n",
"3.butter"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"<details><summary>Click here for a solution</summary>\n",
"\n",
"```python\n",
" #1. Egg with <strong>21,025</strong> occurrences. \n",
"# 2. Wheat with <strong>20,781</strong> occurrences. \n",
"# 3. Butter with <strong>20,719</strong> occurrences.\n",
"```\n",
"\n",
"</details>\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"However, note that there is a problem with the above table. There are ~40,000 American recipes in our dataset, which means that the data is biased towards American ingredients.\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"**Therefore**, let's compute a more objective summary of the ingredients by looking at the ingredients per cuisine.\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"#### Let's create a _profile_ for each cuisine.\n",
"\n",
"In other words, let's try to find out what ingredients Chinese people typically use, and what is **Canadian** food for example.\n"
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
},
"tags": []
},
"outputs": [
{
"data": {
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" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>almond</th>\n",
" <th>angelica</th>\n",
" <th>anise</th>\n",
" <th>anise_seed</th>\n",
" <th>apple</th>\n",
" <th>apple_brandy</th>\n",
" <th>apricot</th>\n",
" <th>armagnac</th>\n",
" <th>artemisia</th>\n",
" <th>artichoke</th>\n",
" <th>asparagus</th>\n",
" <th>avocado</th>\n",
" <th>bacon</th>\n",
" <th>baked_potato</th>\n",
" <th>balm</th>\n",
" <th>banana</th>\n",
" <th>barley</th>\n",
" <th>bartlett_pear</th>\n",
" <th>basil</th>\n",
" <th>bay</th>\n",
" <th>bean</th>\n",
" <th>beech</th>\n",
" <th>beef</th>\n",
" <th>beef_broth</th>\n",
" <th>beef_liver</th>\n",
" <th>beer</th>\n",
" <th>beet</th>\n",
" <th>bell_pepper</th>\n",
" <th>bergamot</th>\n",
" <th>berry</th>\n",
" <th>bitter_orange</th>\n",
" <th>black_bean</th>\n",
" <th>black_currant</th>\n",
" <th>black_mustard_seed_oil</th>\n",
" <th>black_pepper</th>\n",
" <th>black_raspberry</th>\n",
" <th>black_sesame_seed</th>\n",
" <th>black_tea</th>\n",
" <th>blackberry</th>\n",
" <th>blackberry_brandy</th>\n",
" <th>blue_cheese</th>\n",
" <th>blueberry</th>\n",
" <th>bone_oil</th>\n",
" <th>bourbon_whiskey</th>\n",
" <th>brandy</th>\n",
" <th>brassica</th>\n",
" <th>bread</th>\n",
" <th>broccoli</th>\n",
" <th>brown_rice</th>\n",
" <th>brussels_sprout</th>\n",
" <th>buckwheat</th>\n",
" <th>butter</th>\n",
" <th>buttermilk</th>\n",
" <th>cabbage</th>\n",
" <th>cabernet_sauvignon_wine</th>\n",
" <th>cacao</th>\n",
" <th>camembert_cheese</th>\n",
" <th>cane_molasses</th>\n",
" <th>caraway</th>\n",
" <th>cardamom</th>\n",
" <th>carnation</th>\n",
" <th>carob</th>\n",
" <th>carrot</th>\n",
" <th>cashew</th>\n",
" <th>cassava</th>\n",
" <th>catfish</th>\n",
" <th>cauliflower</th>\n",
" <th>caviar</th>\n",
" <th>cayenne</th>\n",
" <th>celery</th>\n",
" <th>celery_oil</th>\n",
" <th>cereal</th>\n",
" <th>chamomile</th>\n",
" <th>champagne_wine</th>\n",
" <th>chayote</th>\n",
" <th>cheddar_cheese</th>\n",
" <th>cheese</th>\n",
" <th>cherry</th>\n",
" <th>cherry_brandy</th>\n",
" <th>chervil</th>\n",
" <th>chicken</th>\n",
" <th>chicken_broth</th>\n",
" <th>chicken_liver</th>\n",
" <th>chickpea</th>\n",
" <th>chicory</th>\n",
" <th>chinese_cabbage</th>\n",
" <th>chive</th>\n",
" <th>cider</th>\n",
" <th>cilantro</th>\n",
" <th>cinnamon</th>\n",
" <th>citrus</th>\n",
" <th>citrus_peel</th>\n",
" <th>clam</th>\n",
" <th>clove</th>\n",
" <th>cocoa</th>\n",
" <th>coconut</th>\n",
" <th>coconut_oil</th>\n",
" <th>cod</th>\n",
" <th>coffee</th>\n",
" <th>cognac</th>\n",
" <th>concord_grape</th>\n",
" <th>condiment</th>\n",
" <th>coriander</th>\n",
" <th>corn</th>\n",
" <th>corn_flake</th>\n",
" <th>corn_grit</th>\n",
" <th>cottage_cheese</th>\n",
" <th>crab</th>\n",
" <th>cranberry</th>\n",
" <th>cream</th>\n",
" <th>cream_cheese</th>\n",
" <th>cucumber</th>\n",
" <th>cumin</th>\n",
" <th>cured_pork</th>\n",
" <th>currant</th>\n",
" <th>date</th>\n",
" <th>dill</th>\n",
" <th>durian</th>\n",
" <th>eel</th>\n",
" <th>egg</th>\n",
" <th>egg_noodle</th>\n",
" <th>elderberry</th>\n",
" <th>emmental_cheese</th>\n",
" <th>endive</th>\n",
" <th>enokidake</th>\n",
" <th>fennel</th>\n",
" <th>fenugreek</th>\n",
" <th>feta_cheese</th>\n",
" <th>fig</th>\n",
" <th>fish</th>\n",
" <th>flower</th>\n",
" <th>frankfurter</th>\n",
" <th>fruit</th>\n",
" <th>galanga</th>\n",
" <th>gardenia</th>\n",
" <th>garlic</th>\n",
" <th>gelatin</th>\n",
" <th>geranium</th>\n",
" <th>gin</th>\n",
" <th>ginger</th>\n",
" <th>goat_cheese</th>\n",
" <th>grape</th>\n",
" <th>grape_brandy</th>\n",
" <th>grape_juice</th>\n",
" <th>grapefruit</th>\n",
" <th>green_bell_pepper</th>\n",
" <th>green_tea</th>\n",
" <th>gruyere_cheese</th>\n",
" <th>guava</th>\n",
" <th>haddock</th>\n",
" <th>ham</th>\n",
" <th>hazelnut</th>\n",
" <th>herring</th>\n",
" <th>holy_basil</th>\n",
" <th>honey</th>\n",
" <th>hop</th>\n",
" <th>horseradish</th>\n",
" <th>huckleberry</th>\n",
" <th>jamaican_rum</th>\n",
" <th>japanese_plum</th>\n",
" <th>jasmine</th>\n",
" <th>jasmine_tea</th>\n",
" <th>juniper_berry</th>\n",
" <th>kaffir_lime</th>\n",
" <th>kale</th>\n",
" <th>katsuobushi</th>\n",
" <th>kelp</th>\n",
" <th>kidney_bean</th>\n",
" <th>kiwi</th>\n",
" <th>kohlrabi</th>\n",
" <th>kumquat</th>\n",
" <th>lamb</th>\n",
" <th>lard</th>\n",
" <th>laurel</th>\n",
" <th>lavender</th>\n",
" <th>leaf</th>\n",
" <th>leek</th>\n",
" <th>lemon</th>\n",
" <th>lemon_juice</th>\n",
" <th>lemon_peel</th>\n",
" <th>lemongrass</th>\n",
" <th>lentil</th>\n",
" <th>lettuce</th>\n",
" <th>licorice</th>\n",
" <th>lilac_flower_oil</th>\n",
" <th>lima_bean</th>\n",
" <th>lime</th>\n",
" <th>lime_juice</th>\n",
" <th>lime_peel_oil</th>\n",
" <th>lingonberry</th>\n",
" <th>litchi</th>\n",
" <th>liver</th>\n",
" <th>lobster</th>\n",
" <th>long_pepper</th>\n",
" <th>lovage</th>\n",
" <th>macadamia_nut</th>\n",
" <th>macaroni</th>\n",
" <th>mace</th>\n",
" <th>mackerel</th>\n",
" <th>malt</th>\n",
" <th>mandarin</th>\n",
" <th>mandarin_peel</th>\n",
" <th>mango</th>\n",
" <th>maple_syrup</th>\n",
" <th>marjoram</th>\n",
" <th>mate</th>\n",
" <th>matsutake</th>\n",
" <th>meat</th>\n",
" <th>melon</th>\n",
" <th>milk</th>\n",
" <th>milk_fat</th>\n",
" <th>mint</th>\n",
" <th>mozzarella_cheese</th>\n",
" <th>mung_bean</th>\n",
" <th>munster_cheese</th>\n",
" <th>muscat_grape</th>\n",
" <th>mushroom</th>\n",
" <th>mussel</th>\n",
" <th>mustard</th>\n",
" <th>mutton</th>\n",
" <th>nectarine</th>\n",
" <th>nira</th>\n",
" <th>nut</th>\n",
" <th>nutmeg</th>\n",
" <th>oat</th>\n",
" <th>oatmeal</th>\n",
" <th>octopus</th>\n",
" <th>okra</th>\n",
" <th>olive</th>\n",
" <th>olive_oil</th>\n",
" <th>onion</th>\n",
" <th>orange</th>\n",
" <th>orange_flower</th>\n",
" <th>orange_juice</th>\n",
" <th>orange_peel</th>\n",
" <th>oregano</th>\n",
" <th>ouzo</th>\n",
" <th>oyster</th>\n",
" <th>palm</th>\n",
" <th>papaya</th>\n",
" <th>parmesan_cheese</th>\n",
" <th>parsley</th>\n",
" <th>parsnip</th>\n",
" <th>passion_fruit</th>\n",
" <th>pea</th>\n",
" <th>peach</th>\n",
" <th>peanut</th>\n",
" <th>peanut_butter</th>\n",
" <th>peanut_oil</th>\n",
" <th>pear</th>\n",
" <th>pear_brandy</th>\n",
" <th>pecan</th>\n",
" <th>pelargonium</th>\n",
" <th>pepper</th>\n",
" <th>peppermint</th>\n",
" <th>peppermint_oil</th>\n",
" <th>pimenta</th>\n",
" <th>pimento</th>\n",
" <th>pineapple</th>\n",
" <th>pistachio</th>\n",
" <th>plum</th>\n",
" <th>popcorn</th>\n",
" <th>porcini</th>\n",
" <th>pork</th>\n",
" <th>pork_liver</th>\n",
" <th>pork_sausage</th>\n",
" <th>port_wine</th>\n",
" <th>potato</th>\n",
" <th>potato_chip</th>\n",
" <th>prawn</th>\n",
" <th>prickly_pear</th>\n",
" <th>provolone_cheese</th>\n",
" <th>pumpkin</th>\n",
" <th>quince</th>\n",
" <th>radish</th>\n",
" <th>raisin</th>\n",
" <th>rapeseed</th>\n",
" <th>raspberry</th>\n",
" <th>raw_beef</th>\n",
" <th>red_algae</th>\n",
" <th>red_bean</th>\n",
" <th>red_kidney_bean</th>\n",
" <th>red_wine</th>\n",
" <th>rhubarb</th>\n",
" <th>rice</th>\n",
" <th>roasted_almond</th>\n",
" <th>roasted_beef</th>\n",
" <th>roasted_hazelnut</th>\n",
" <th>roasted_meat</th>\n",
" <th>roasted_nut</th>\n",
" <th>roasted_peanut</th>\n",
" <th>roasted_pecan</th>\n",
" <th>roasted_pork</th>\n",
" <th>roasted_sesame_seed</th>\n",
" <th>romano_cheese</th>\n",
" <th>root</th>\n",
" <th>roquefort_cheese</th>\n",
" <th>rose</th>\n",
" <th>rosemary</th>\n",
" <th>rum</th>\n",
" <th>rutabaga</th>\n",
" <th>rye_bread</th>\n",
" <th>rye_flour</th>\n",
" <th>saffron</th>\n",
" <th>sage</th>\n",
" <th>sake</th>\n",
" <th>salmon</th>\n",
" <th>salmon_roe</th>\n",
" <th>sassafras</th>\n",
" <th>sauerkraut</th>\n",
" <th>savory</th>\n",
" <th>scallion</th>\n",
" <th>scallop</th>\n",
" <th>sea_algae</th>\n",
" <th>seaweed</th>\n",
" <th>seed</th>\n",
" <th>sesame_oil</th>\n",
" <th>sesame_seed</th>\n",
" <th>shallot</th>\n",
" <th>sheep_cheese</th>\n",
" <th>shellfish</th>\n",
" <th>sherry</th>\n",
" <th>shiitake</th>\n",
" <th>shrimp</th>\n",
" <th>smoke</th>\n",
" <th>smoked_fish</th>\n",
" <th>smoked_salmon</th>\n",
" <th>smoked_sausage</th>\n",
" <th>sour_cherry</th>\n",
" <th>sour_milk</th>\n",
" <th>soy_sauce</th>\n",
" <th>soybean</th>\n",
" <th>soybean_oil</th>\n",
" <th>spearmint</th>\n",
" <th>squash</th>\n",
" <th>squid</th>\n",
" <th>star_anise</th>\n",
" <th>starch</th>\n",
" <th>strawberry</th>\n",
" <th>strawberry_jam</th>\n",
" <th>strawberry_juice</th>\n",
" <th>sturgeon_caviar</th>\n",
" <th>sumac</th>\n",
" <th>sunflower_oil</th>\n",
" <th>sweet_potato</th>\n",
" <th>swiss_cheese</th>\n",
" <th>tabasco_pepper</th>\n",
" <th>tamarind</th>\n",
" <th>tangerine</th>\n",
" <th>tarragon</th>\n",
" <th>tea</th>\n",
" <th>tequila</th>\n",
" <th>thai_pepper</th>\n",
" <th>thyme</th>\n",
" <th>tomato</th>\n",
" <th>tomato_juice</th>\n",
" <th>truffle</th>\n",
" <th>tuna</th>\n",
" <th>turkey</th>\n",
" <th>turmeric</th>\n",
" <th>turnip</th>\n",
" <th>vanilla</th>\n",
" <th>veal</th>\n",
" <th>vegetable</th>\n",
" <th>vegetable_oil</th>\n",
" <th>vinegar</th>\n",
" <th>violet</th>\n",
" <th>walnut</th>\n",
" <th>wasabi</th>\n",
" <th>watercress</th>\n",
" <th>watermelon</th>\n",
" <th>wheat</th>\n",
" <th>wheat_bread</th>\n",
" <th>whiskey</th>\n",
" <th>white_bread</th>\n",
" <th>white_wine</th>\n",
" <th>whole_grain_wheat_flour</th>\n",
" <th>wine</th>\n",
" <th>wood</th>\n",
" <th>yam</th>\n",
" <th>yeast</th>\n",
" <th>yogurt</th>\n",
" <th>zucchini</th>\n",
" </tr>\n",
" <tr>\n",
" <th>cuisine</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
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" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
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" <th></th>\n",
" <th></th>\n",
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" <th></th>\n",
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" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>african</th>\n",
" <td>0.156522</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.034783</td>\n",
" <td>0.000000</td>\n",
" <td>0.069565</td>\n",
" <td>0.0000</td>\n",
" <td>0.0</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.008696</td>\n",
" <td>0.008696</td>\n",
" <td>0.000000</td>\n",
" <td>0.000000</td>\n",
" <td>0.017391</td>\n",
" <td>0.017391</td>\n",
" <td>0.000000</td>\n",
" <td>0.017391</td>\n",
" <td>0.034783</td>\n",
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" <tr>\n",
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" </tr>\n",
" <tr>\n",
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" </tr>\n",
" <tr>\n",
" <th>cajun_creole</th>\n",
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" <tr>\n",
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" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" almond angelica anise anise_seed apple \\\n",
"cuisine \n",
"african 0.156522 0.000000 0.000000 0.000000 0.034783 \n",
"american 0.040598 0.000025 0.003014 0.000573 0.052055 \n",
"asian 0.007544 0.000000 0.000838 0.002515 0.012573 \n",
"cajun_creole 0.000000 0.000000 0.000000 0.000000 0.006849 \n",
"canada 0.036176 0.000000 0.000000 0.000000 0.036176 \n",
"\n",
" apple_brandy apricot armagnac artemisia artichoke \\\n",
"cuisine \n",
"african 0.000000 0.069565 0.0000 0.0 0.000000 \n",
"american 0.000623 0.011308 0.0001 0.0 0.006351 \n",
"asian 0.000000 0.005029 0.0000 0.0 0.000000 \n",
"cajun_creole 0.000000 0.000000 0.0000 0.0 0.000000 \n",
"canada 0.000000 0.002584 0.0000 0.0 0.001292 \n",
"\n",
" asparagus avocado bacon baked_potato balm banana \\\n",
"cuisine \n",
"african 0.000000 0.008696 0.008696 0.000000 0.000000 0.017391 \n",
"american 0.007522 0.007323 0.041220 0.000199 0.000075 0.021594 \n",
"asian 0.019279 0.010897 0.013412 0.000000 0.000000 0.006706 \n",
"cajun_creole 0.000000 0.006849 0.020548 0.000000 0.000000 0.006849 \n",
"canada 0.007752 0.009044 0.032300 0.000000 0.000000 0.020672 \n",
"\n",
" barley bartlett_pear basil bay bean beech \\\n",
"cuisine \n",
"african 0.017391 0.000000 0.017391 0.034783 0.008696 0.0 \n",
"american 0.003885 0.000423 0.058655 0.020697 0.028767 0.0 \n",
"asian 0.029338 0.000000 0.055323 0.011735 0.083822 0.0 \n",
"cajun_creole 0.000000 0.000000 0.027397 0.232877 0.006849 0.0 \n",
"canada 0.007752 0.000000 0.060724 0.028424 0.019380 0.0 \n",
"\n",
" beef beef_broth beef_liver beer beet \\\n",
"cuisine \n",
"african 0.052174 0.008696 0.000000 0.000000 0.008696 \n",
"american 0.075118 0.009988 0.000174 0.005430 0.003686 \n",
"asian 0.103940 0.012573 0.000000 0.004191 0.000838 \n",
"cajun_creole 0.143836 0.027397 0.000000 0.000000 0.013699 \n",
"canada 0.086563 0.009044 0.000000 0.010336 0.002584 \n",
"\n",
" bell_pepper bergamot berry bitter_orange black_bean \\\n",
"cuisine \n",
"african 0.313043 0.000000 0.000000 0.000000 0.008696 \n",
"american 0.087846 0.000149 0.003836 0.001245 0.005131 \n",
"asian 0.133277 0.000000 0.000838 0.001676 0.017603 \n",
"cajun_creole 0.342466 0.000000 0.000000 0.000000 0.000000 \n",
"canada 0.100775 0.000000 0.003876 0.001292 0.007752 \n",
"\n",
" black_currant black_mustard_seed_oil black_pepper \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.295652 \n",
"american 0.000199 0.000050 0.147621 \n",
"asian 0.000000 0.001676 0.118189 \n",
"cajun_creole 0.000000 0.000000 0.328767 \n",
"canada 0.000000 0.001292 0.209302 \n",
"\n",
" black_raspberry black_sesame_seed black_tea blackberry \\\n",
"cuisine \n",
"african 0.000000 0.0 0.000000 0.000000 \n",
"american 0.000199 0.0 0.000573 0.003462 \n",
"asian 0.000000 0.0 0.005868 0.000838 \n",
"cajun_creole 0.000000 0.0 0.000000 0.000000 \n",
"canada 0.000000 0.0 0.001292 0.002584 \n",
"\n",
" blackberry_brandy blue_cheese blueberry bone_oil \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.000000 0.000000 \n",
"american 0.000075 0.007995 0.010710 0.000149 \n",
"asian 0.000000 0.000838 0.001676 0.000838 \n",
"cajun_creole 0.000000 0.006849 0.000000 0.006849 \n",
"canada 0.000000 0.003876 0.012920 0.000000 \n",
"\n",
" bourbon_whiskey brandy brassica bread broccoli \\\n",
"cuisine \n",
"african 0.000000 0.017391 0.008696 0.104348 0.008696 \n",
"american 0.003362 0.006426 0.001021 0.081519 0.018107 \n",
"asian 0.000000 0.003353 0.005868 0.036044 0.025147 \n",
"cajun_creole 0.013699 0.006849 0.013699 0.178082 0.006849 \n",
"canada 0.000000 0.002584 0.001292 0.071059 0.019380 \n",
"\n",
" brown_rice brussels_sprout buckwheat butter buttermilk \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.000000 0.208696 0.000000 \n",
"american 0.006999 0.001843 0.000448 0.411582 0.033151 \n",
"asian 0.008382 0.000838 0.017603 0.058676 0.003353 \n",
"cajun_creole 0.020548 0.000000 0.000000 0.363014 0.013699 \n",
"canada 0.002584 0.002584 0.000000 0.381137 0.020672 \n",
"\n",
" cabbage cabernet_sauvignon_wine cacao camembert_cheese \\\n",
"cuisine \n",
"african 0.008696 0.000000 0.000000 0.0000 \n",
"american 0.014321 0.000324 0.000772 0.0001 \n",
"asian 0.081308 0.000000 0.000000 0.0000 \n",
"cajun_creole 0.006849 0.000000 0.000000 0.0000 \n",
"canada 0.012920 0.000000 0.001292 0.0000 \n",
"\n",
" cane_molasses caraway cardamom carnation carob \\\n",
"cuisine \n",
"african 0.043478 0.078261 0.060870 0.000000 0.000000 \n",
"american 0.165280 0.002839 0.004010 0.000075 0.000149 \n",
"asian 0.096396 0.002515 0.005868 0.000000 0.000000 \n",
"cajun_creole 0.130137 0.000000 0.000000 0.000000 0.000000 \n",
"canada 0.205426 0.001292 0.003876 0.000000 0.001292 \n",
"\n",
" carrot cashew cassava catfish cauliflower caviar \\\n",
"cuisine \n",
"african 0.104348 0.000000 0.008696 0.000000 0.008696 0.000000 \n",
"american 0.056065 0.003661 0.000050 0.001345 0.006152 0.000399 \n",
"asian 0.123219 0.009220 0.000000 0.002515 0.006706 0.001676 \n",
"cajun_creole 0.054795 0.000000 0.000000 0.013699 0.000000 0.000000 \n",
"canada 0.073643 0.002584 0.000000 0.000000 0.006460 0.000000 \n",
"\n",
" cayenne celery celery_oil cereal chamomile \\\n",
"cuisine \n",
"african 0.356522 0.026087 0.000000 0.000000 0.00000 \n",
"american 0.088643 0.071034 0.019726 0.004832 0.00005 \n",
"asian 0.295893 0.025985 0.011735 0.000000 0.00000 \n",
"cajun_creole 0.561644 0.287671 0.006849 0.000000 0.00000 \n",
"canada 0.108527 0.080103 0.031008 0.003876 0.00000 \n",
"\n",
" champagne_wine chayote cheddar_cheese cheese cherry \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.000000 0.008696 0.000000 \n",
"american 0.001843 0.000199 0.057410 0.045056 0.023537 \n",
"asian 0.000838 0.000838 0.000000 0.003353 0.000838 \n",
"cajun_creole 0.000000 0.013699 0.013699 0.020548 0.006849 \n",
"canada 0.000000 0.000000 0.069767 0.032300 0.024548 \n",
"\n",
" cherry_brandy chervil chicken chicken_broth chicken_liver \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.200000 0.182609 0.000000 \n",
"american 0.000448 0.000523 0.089639 0.053225 0.000573 \n",
"asian 0.000000 0.000000 0.158424 0.139145 0.000838 \n",
"cajun_creole 0.000000 0.000000 0.130137 0.226027 0.000000 \n",
"canada 0.000000 0.000000 0.108527 0.049096 0.002584 \n",
"\n",
" chickpea chicory chinese_cabbage chive cider \\\n",
"cuisine \n",
"african 0.060870 0.000000 0.000000 0.000000 0.000000 \n",
"american 0.005504 0.001469 0.000025 0.025031 0.023263 \n",
"asian 0.001676 0.003353 0.004191 0.018441 0.013412 \n",
"cajun_creole 0.000000 0.006849 0.000000 0.020548 0.027397 \n",
"canada 0.006460 0.000000 0.000000 0.015504 0.010336 \n",
"\n",
" cilantro cinnamon citrus citrus_peel clam clove \\\n",
"cuisine \n",
"african 0.243478 0.286957 0.008696 0.0 0.000000 0.000000 \n",
"american 0.020224 0.110884 0.002167 0.0 0.004932 0.000174 \n",
"asian 0.204526 0.030176 0.006706 0.0 0.012573 0.000000 \n",
"cajun_creole 0.006849 0.041096 0.006849 0.0 0.034247 0.000000 \n",
"canada 0.023256 0.105943 0.001292 0.0 0.005168 0.000000 \n",
"\n",
" cocoa coconut coconut_oil cod coffee cognac \\\n",
"cuisine \n",
"african 0.008696 0.008696 0.000000 0.043478 0.000000 0.000000 \n",
"american 0.106052 0.033051 0.000299 0.002167 0.013674 0.000548 \n",
"asian 0.005029 0.093881 0.000000 0.005868 0.003353 0.000838 \n",
"cajun_creole 0.013699 0.027397 0.000000 0.000000 0.000000 0.000000 \n",
"canada 0.089147 0.036176 0.001292 0.007752 0.019380 0.001292 \n",
"\n",
" concord_grape condiment coriander corn corn_flake \\\n",
"cuisine \n",
"african 0.000000 0.008696 0.278261 0.034783 0.000000 \n",
"american 0.000299 0.000125 0.016538 0.080174 0.005131 \n",
"asian 0.000000 0.000000 0.138307 0.049455 0.000000 \n",
"cajun_creole 0.000000 0.000000 0.013699 0.102740 0.000000 \n",
"canada 0.000000 0.000000 0.036176 0.063307 0.005168 \n",
"\n",
" corn_grit cottage_cheese crab cranberry cream \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.000000 0.000000 0.034783 \n",
"american 0.001743 0.006227 0.010411 0.021320 0.196737 \n",
"asian 0.000838 0.000000 0.020117 0.003353 0.035205 \n",
"cajun_creole 0.034247 0.000000 0.089041 0.000000 0.123288 \n",
"canada 0.000000 0.009044 0.018088 0.015504 0.151163 \n",
"\n",
" cream_cheese cucumber cumin cured_pork currant \\\n",
"cuisine \n",
"african 0.000000 0.017391 0.426087 0.000000 0.017391 \n",
"american 0.062740 0.029489 0.033524 0.004134 0.003512 \n",
"asian 0.003353 0.082146 0.084661 0.000838 0.000838 \n",
"cajun_creole 0.013699 0.020548 0.034247 0.000000 0.000000 \n",
"canada 0.049096 0.027132 0.060724 0.003876 0.001292 \n",
"\n",
" date dill durian eel egg egg_noodle \\\n",
"cuisine \n",
"african 0.034783 0.000000 0.0 0.0 0.200000 0.000000 \n",
"american 0.007547 0.021220 0.0 0.0 0.405131 0.005729 \n",
"asian 0.002515 0.002515 0.0 0.0 0.136630 0.009220 \n",
"cajun_creole 0.013699 0.013699 0.0 0.0 0.253425 0.000000 \n",
"canada 0.011628 0.021964 0.0 0.0 0.354005 0.007752 \n",
"\n",
" elderberry emmental_cheese endive enokidake fennel \\\n",
"cuisine \n",
"african 0.0000 0.0 0.000000 0.0 0.052174 \n",
"american 0.0001 0.0 0.001295 0.0 0.011283 \n",
"asian 0.0000 0.0 0.000838 0.0 0.005029 \n",
"cajun_creole 0.0000 0.0 0.000000 0.0 0.020548 \n",
"canada 0.0000 0.0 0.000000 0.0 0.014212 \n",
"\n",
" fenugreek feta_cheese fig fish flower \\\n",
"cuisine \n",
"african 0.060870 0.008696 0.000000 0.078261 0.000000 \n",
"american 0.012005 0.010062 0.001943 0.015816 0.000448 \n",
"asian 0.057837 0.001676 0.000000 0.196144 0.001676 \n",
"cajun_creole 0.000000 0.000000 0.000000 0.047945 0.000000 \n",
"canada 0.029716 0.016796 0.000000 0.015504 0.000000 \n",
"\n",
" frankfurter fruit galanga gardenia garlic gelatin \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.000000 0.0 0.495652 0.008696 \n",
"american 0.000648 0.009240 0.000125 0.0 0.240722 0.031308 \n",
"asian 0.000000 0.000000 0.014250 0.0 0.479464 0.006706 \n",
"cajun_creole 0.000000 0.000000 0.000000 0.0 0.486301 0.006849 \n",
"canada 0.000000 0.005168 0.000000 0.0 0.270026 0.018088 \n",
"\n",
" geranium gin ginger goat_cheese grape \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.260870 0.000000 0.000000 \n",
"american 0.000025 0.001469 0.054321 0.003910 0.006999 \n",
"asian 0.000000 0.000000 0.486169 0.000838 0.000838 \n",
"cajun_creole 0.000000 0.000000 0.047945 0.000000 0.006849 \n",
"canada 0.000000 0.003876 0.060724 0.002584 0.001292 \n",
"\n",
" grape_brandy grape_juice grapefruit green_bell_pepper \\\n",
"cuisine \n",
"african 0.0 0.008696 0.000000 0.017391 \n",
"american 0.0 0.013848 0.002192 0.046575 \n",
"asian 0.0 0.011735 0.003353 0.010059 \n",
"cajun_creole 0.0 0.000000 0.006849 0.308219 \n",
"canada 0.0 0.010336 0.001292 0.052972 \n",
"\n",
" green_tea gruyere_cheese guava haddock ham \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.000000 0.008696 0.000000 \n",
"american 0.000299 0.000448 0.000199 0.000374 0.022242 \n",
"asian 0.002515 0.000838 0.000000 0.000000 0.009220 \n",
"cajun_creole 0.000000 0.000000 0.000000 0.000000 0.075342 \n",
"canada 0.000000 0.000000 0.000000 0.003876 0.011628 \n",
"\n",
" hazelnut herring holy_basil honey hop horseradish \\\n",
"cuisine \n",
"african 0.017391 0.000000 0.000000 0.147826 0.00000 0.000000 \n",
"american 0.003910 0.000075 0.000000 0.047472 0.00005 0.008095 \n",
"asian 0.000000 0.000000 0.000838 0.062867 0.00000 0.007544 \n",
"cajun_creole 0.000000 0.000000 0.000000 0.013699 0.00000 0.027397 \n",
"canada 0.005168 0.000000 0.000000 0.031008 0.00000 0.006460 \n",
"\n",
" huckleberry jamaican_rum japanese_plum jasmine jasmine_tea \\\n",
"cuisine \n",
"african 0.000000 0.0 0.0 0.000000 0.000000 \n",
"american 0.000224 0.0 0.0 0.000050 0.000025 \n",
"asian 0.000000 0.0 0.0 0.000838 0.000838 \n",
"cajun_creole 0.000000 0.0 0.0 0.000000 0.000000 \n",
"canada 0.000000 0.0 0.0 0.001292 0.000000 \n",
"\n",
" juniper_berry kaffir_lime kale katsuobushi kelp \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"american 0.000199 0.000000 0.001245 0.000025 0.000000 \n",
"asian 0.000000 0.000838 0.003353 0.011735 0.000838 \n",
"cajun_creole 0.000000 0.000000 0.013699 0.000000 0.000000 \n",
"canada 0.001292 0.000000 0.002584 0.000000 0.000000 \n",
"\n",
" kidney_bean kiwi kohlrabi kumquat lamb lard \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.000000 0.008696 0.130435 0.008696 \n",
"american 0.006849 0.001818 0.000075 0.000523 0.005031 0.061445 \n",
"asian 0.000000 0.003353 0.000000 0.004191 0.013412 0.008382 \n",
"cajun_creole 0.020548 0.000000 0.000000 0.000000 0.000000 0.020548 \n",
"canada 0.010336 0.001292 0.000000 0.000000 0.005168 0.073643 \n",
"\n",
" laurel lavender leaf leek lemon lemon_juice \\\n",
"cuisine \n",
"african 0.00000 0.000000 0.00000 0.008696 0.165217 0.260870 \n",
"american 0.00005 0.000847 0.00005 0.005355 0.053948 0.090535 \n",
"asian 0.00000 0.000000 0.00000 0.012573 0.016764 0.055323 \n",
"cajun_creole 0.00000 0.000000 0.00000 0.013699 0.041096 0.116438 \n",
"canada 0.00000 0.001292 0.00000 0.005168 0.038760 0.087855 \n",
"\n",
" lemon_peel lemongrass lentil lettuce licorice \\\n",
"cuisine \n",
"african 0.008696 0.008696 0.026087 0.017391 0.000000 \n",
"american 0.012379 0.000722 0.003611 0.017111 0.000399 \n",
"asian 0.011735 0.070411 0.000838 0.049455 0.000838 \n",
"cajun_creole 0.020548 0.006849 0.006849 0.027397 0.006849 \n",
"canada 0.002584 0.000000 0.005168 0.016796 0.000000 \n",
"\n",
" lilac_flower_oil lima_bean lime lime_juice \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.008696 0.043478 \n",
"american 0.000025 0.002715 0.016837 0.017733 \n",
"asian 0.000000 0.000000 0.068734 0.163453 \n",
"cajun_creole 0.000000 0.013699 0.006849 0.027397 \n",
"canada 0.000000 0.001292 0.016796 0.021964 \n",
"\n",
" lime_peel_oil lingonberry litchi liver lobster \\\n",
"cuisine \n",
"african 0.017391 0.000000 0.000000 0.000000 0.017391 \n",
"american 0.001619 0.000075 0.000174 0.000523 0.002117 \n",
"asian 0.006706 0.000000 0.002515 0.000838 0.004191 \n",
"cajun_creole 0.000000 0.000000 0.000000 0.006849 0.000000 \n",
"canada 0.000000 0.000000 0.000000 0.001292 0.006460 \n",
"\n",
" long_pepper lovage macadamia_nut macaroni mace \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.000000 0.026087 0.008696 \n",
"american 0.000000 0.003064 0.002466 0.046252 0.002192 \n",
"asian 0.001676 0.000000 0.000838 0.036044 0.002515 \n",
"cajun_creole 0.000000 0.027397 0.000000 0.020548 0.000000 \n",
"canada 0.000000 0.002584 0.000000 0.054264 0.001292 \n",
"\n",
" mackerel malt mandarin mandarin_peel mango \\\n",
"cuisine \n",
"african 0.0 0.000000 0.000000 0.000000 0.034783 \n",
"american 0.0 0.000672 0.006575 0.000050 0.006002 \n",
"asian 0.0 0.000838 0.000838 0.004191 0.026823 \n",
"cajun_creole 0.0 0.000000 0.000000 0.000000 0.006849 \n",
"canada 0.0 0.001292 0.005168 0.000000 0.006460 \n",
"\n",
" maple_syrup marjoram mate matsutake meat melon \\\n",
"cuisine \n",
"african 0.000000 0.034783 0.000000 0.000000 0.017391 0.000000 \n",
"american 0.010760 0.010610 0.000025 0.000000 0.015866 0.003238 \n",
"asian 0.005868 0.000000 0.000000 0.000838 0.017603 0.005029 \n",
"cajun_creole 0.000000 0.006849 0.000000 0.000000 0.020548 0.000000 \n",
"canada 0.021964 0.010336 0.000000 0.000000 0.009044 0.003876 \n",
"\n",
" milk milk_fat mint mozzarella_cheese mung_bean \\\n",
"cuisine \n",
"african 0.086957 0.034783 0.060870 0.000000 0.000000 \n",
"american 0.266002 0.012603 0.011880 0.018431 0.000025 \n",
"asian 0.025147 0.012573 0.082146 0.000838 0.004191 \n",
"cajun_creole 0.082192 0.041096 0.006849 0.006849 0.000000 \n",
"canada 0.264858 0.010336 0.006460 0.027132 0.000000 \n",
"\n",
" munster_cheese muscat_grape mushroom mussel mustard \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.000000 0.000000 0.052174 \n",
"american 0.000598 0.000025 0.060747 0.001046 0.082889 \n",
"asian 0.000000 0.000000 0.051970 0.005029 0.024308 \n",
"cajun_creole 0.000000 0.000000 0.041096 0.013699 0.143836 \n",
"canada 0.000000 0.000000 0.069767 0.000000 0.085271 \n",
"\n",
" mutton nectarine nira nut nutmeg oat \\\n",
"cuisine \n",
"african 0.00000 0.000000 0.000000 0.026087 0.034783 0.000000 \n",
"american 0.00005 0.000996 0.000000 0.018705 0.051731 0.029639 \n",
"asian 0.00000 0.000838 0.000838 0.033529 0.008382 0.000000 \n",
"cajun_creole 0.00000 0.006849 0.000000 0.006849 0.027397 0.000000 \n",
"canada 0.00000 0.002584 0.000000 0.010336 0.033592 0.033592 \n",
"\n",
" oatmeal octopus okra olive olive_oil onion \\\n",
"cuisine \n",
"african 0.000000 0.008696 0.017391 0.104348 0.521739 0.530435 \n",
"american 0.001295 0.000000 0.001569 0.025056 0.132628 0.293325 \n",
"asian 0.000838 0.000000 0.001676 0.001676 0.066220 0.145851 \n",
"cajun_creole 0.000000 0.000000 0.082192 0.000000 0.287671 0.698630 \n",
"canada 0.000000 0.000000 0.000000 0.010336 0.124031 0.343669 \n",
"\n",
" orange orange_flower orange_juice orange_peel oregano \\\n",
"cuisine \n",
"african 0.043478 0.0000 0.017391 0.008696 0.008696 \n",
"american 0.031681 0.0001 0.035019 0.010336 0.046077 \n",
"asian 0.015926 0.0000 0.023470 0.020117 0.002515 \n",
"cajun_creole 0.027397 0.0000 0.020548 0.013699 0.136986 \n",
"canada 0.023256 0.0000 0.029716 0.002584 0.056848 \n",
"\n",
" ouzo oyster palm papaya parmesan_cheese \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.000000 0.008696 0.017391 \n",
"american 0.000025 0.003736 0.000399 0.000648 0.048568 \n",
"asian 0.000000 0.045264 0.007544 0.009220 0.005868 \n",
"cajun_creole 0.000000 0.027397 0.000000 0.000000 0.020548 \n",
"canada 0.000000 0.002584 0.001292 0.003876 0.050388 \n",
"\n",
" parsley parsnip passion_fruit pea peach peanut \\\n",
"cuisine \n",
"african 0.191304 0.000000 0.008696 0.043478 0.000000 0.026087 \n",
"american 0.088568 0.002491 0.000374 0.017858 0.011507 0.008244 \n",
"asian 0.014250 0.000838 0.000000 0.076278 0.002515 0.049455 \n",
"cajun_creole 0.191781 0.000000 0.000000 0.020548 0.000000 0.000000 \n",
"canada 0.081395 0.001292 0.000000 0.020672 0.007752 0.007752 \n",
"\n",
" peanut_butter peanut_oil pear pear_brandy pecan \\\n",
"cuisine \n",
"african 0.034783 0.034783 0.000000 0.000000 0.008696 \n",
"american 0.022441 0.002366 0.007323 0.000199 0.050336 \n",
"asian 0.028500 0.085499 0.013412 0.000000 0.001676 \n",
"cajun_creole 0.000000 0.006849 0.006849 0.000000 0.041096 \n",
"canada 0.020672 0.002584 0.002584 0.000000 0.020672 \n",
"\n",
" pelargonium pepper peppermint peppermint_oil pimenta \\\n",
"cuisine \n",
"african 0.000000 0.165217 0.000000 0.000000 0.0 \n",
"american 0.000025 0.168369 0.003362 0.000199 0.0 \n",
"asian 0.000000 0.186085 0.000000 0.000000 0.0 \n",
"cajun_creole 0.000000 0.273973 0.000000 0.000000 0.0 \n",
"canada 0.000000 0.183463 0.005168 0.000000 0.0 \n",
"\n",
" pimento pineapple pistachio plum popcorn porcini \\\n",
"cuisine \n",
"african 0.008696 0.008696 0.008696 0.034783 0.000000 0.000000 \n",
"american 0.005330 0.036538 0.003213 0.004284 0.002267 0.001046 \n",
"asian 0.000000 0.018441 0.002515 0.010897 0.000000 0.000000 \n",
"cajun_creole 0.000000 0.020548 0.000000 0.000000 0.000000 0.006849 \n",
"canada 0.002584 0.016796 0.001292 0.003876 0.001292 0.001292 \n",
"\n",
" pork pork_liver pork_sausage port_wine potato \\\n",
"cuisine \n",
"african 0.008696 0.000000 0.008696 0.000000 0.026087 \n",
"american 0.030884 0.000075 0.021719 0.000797 0.061395 \n",
"asian 0.090528 0.000000 0.007544 0.000000 0.013412 \n",
"cajun_creole 0.034247 0.000000 0.232877 0.000000 0.047945 \n",
"canada 0.037468 0.000000 0.020672 0.003876 0.094315 \n",
"\n",
" potato_chip prawn prickly_pear provolone_cheese pumpkin \\\n",
"cuisine \n",
"african 0.000000 0.008696 0.000000 0.000000 0.000000 \n",
"american 0.001494 0.000423 0.000075 0.002665 0.014321 \n",
"asian 0.000000 0.000000 0.000000 0.000838 0.002515 \n",
"cajun_creole 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"canada 0.003876 0.000000 0.000000 0.000000 0.009044 \n",
"\n",
" quince radish raisin rapeseed raspberry raw_beef \\\n",
"cuisine \n",
"african 0.008696 0.000000 0.139130 0.0 0.000000 0.0 \n",
"american 0.000324 0.002565 0.034994 0.0 0.016687 0.0 \n",
"asian 0.000838 0.015926 0.001676 0.0 0.001676 0.0 \n",
"cajun_creole 0.000000 0.000000 0.013699 0.0 0.000000 0.0 \n",
"canada 0.000000 0.003876 0.046512 0.0 0.007752 0.0 \n",
"\n",
" red_algae red_bean red_kidney_bean red_wine rhubarb \\\n",
"cuisine \n",
"african 0.0 0.0 0.000000 0.034783 0.000000 \n",
"american 0.0 0.0 0.001071 0.019925 0.003686 \n",
"asian 0.0 0.0 0.000000 0.005029 0.000000 \n",
"cajun_creole 0.0 0.0 0.027397 0.013699 0.000000 \n",
"canada 0.0 0.0 0.001292 0.015504 0.009044 \n",
"\n",
" rice roasted_almond roasted_beef roasted_hazelnut \\\n",
"cuisine \n",
"african 0.104348 0.00000 0.000000 0.000000 \n",
"american 0.040473 0.00005 0.003885 0.000025 \n",
"asian 0.413244 0.00000 0.005029 0.000000 \n",
"cajun_creole 0.260274 0.00000 0.000000 0.000000 \n",
"canada 0.049096 0.00000 0.007752 0.000000 \n",
"\n",
" roasted_meat roasted_nut roasted_peanut roasted_pecan \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.008696 0.000000 \n",
"american 0.000324 0.000025 0.002516 0.000025 \n",
"asian 0.000000 0.000000 0.033529 0.000000 \n",
"cajun_creole 0.000000 0.000000 0.000000 0.000000 \n",
"canada 0.001292 0.000000 0.001292 0.000000 \n",
"\n",
" roasted_pork roasted_sesame_seed romano_cheese root \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.000000 0.000000 \n",
"american 0.002291 0.001395 0.002989 0.000822 \n",
"asian 0.000000 0.003353 0.000000 0.022632 \n",
"cajun_creole 0.000000 0.000000 0.006849 0.006849 \n",
"canada 0.000000 0.002584 0.001292 0.001292 \n",
"\n",
" roquefort_cheese rose rosemary rum rutabaga \\\n",
"cuisine \n",
"african 0.000000 0.008696 0.008696 0.008696 0.000000 \n",
"american 0.000399 0.000648 0.033474 0.011308 0.000473 \n",
"asian 0.000000 0.000000 0.002515 0.000838 0.000000 \n",
"cajun_creole 0.000000 0.000000 0.020548 0.006849 0.000000 \n",
"canada 0.000000 0.000000 0.036176 0.006460 0.001292 \n",
"\n",
" rye_bread rye_flour saffron sage sake salmon \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.130435 0.008696 0.000000 0.008696 \n",
"american 0.001793 0.002242 0.001494 0.017335 0.003288 0.008269 \n",
"asian 0.000838 0.000838 0.000000 0.000838 0.047779 0.015088 \n",
"cajun_creole 0.000000 0.000000 0.000000 0.020548 0.000000 0.000000 \n",
"canada 0.001292 0.002584 0.000000 0.014212 0.003876 0.015504 \n",
"\n",
" salmon_roe sassafras sauerkraut savory scallion scallop \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.000000 0.000000 0.052174 0.000000 \n",
"american 0.000100 0.000423 0.003088 0.001868 0.053225 0.003761 \n",
"asian 0.001676 0.000000 0.000838 0.000838 0.382230 0.026823 \n",
"cajun_creole 0.000000 0.000000 0.000000 0.000000 0.287671 0.020548 \n",
"canada 0.000000 0.001292 0.002584 0.012920 0.054264 0.003876 \n",
"\n",
" sea_algae seaweed seed sesame_oil sesame_seed \\\n",
"cuisine \n",
"african 0.0 0.000000 0.095652 0.000000 0.043478 \n",
"american 0.0 0.000324 0.022217 0.007821 0.008792 \n",
"asian 0.0 0.022632 0.027661 0.298407 0.105616 \n",
"cajun_creole 0.0 0.000000 0.027397 0.006849 0.000000 \n",
"canada 0.0 0.000000 0.027132 0.015504 0.011628 \n",
"\n",
" shallot sheep_cheese shellfish sherry shiitake shrimp \\\n",
"cuisine \n",
"african 0.043478 0.0 0.000000 0.008696 0.000000 0.034783 \n",
"american 0.017310 0.0 0.000025 0.009489 0.002665 0.017958 \n",
"asian 0.103101 0.0 0.000000 0.064543 0.070411 0.123219 \n",
"cajun_creole 0.041096 0.0 0.000000 0.027397 0.013699 0.260274 \n",
"canada 0.005168 0.0 0.000000 0.007752 0.001292 0.019380 \n",
"\n",
" smoke smoked_fish smoked_salmon smoked_sausage \\\n",
"cuisine \n",
"african 0.026087 0.000000 0.000000 0.000000 \n",
"american 0.006600 0.000149 0.001519 0.005106 \n",
"asian 0.005868 0.000000 0.002515 0.000000 \n",
"cajun_creole 0.102740 0.000000 0.000000 0.054795 \n",
"canada 0.006460 0.000000 0.002584 0.000000 \n",
"\n",
" sour_cherry sour_milk soy_sauce soybean soybean_oil \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.008696 0.000000 0.00000 \n",
"american 0.000797 0.001096 0.038705 0.007895 0.00005 \n",
"asian 0.001676 0.000000 0.496228 0.136630 0.00000 \n",
"cajun_creole 0.000000 0.000000 0.020548 0.006849 0.00000 \n",
"canada 0.000000 0.000000 0.073643 0.011628 0.00000 \n",
"\n",
" spearmint squash squid star_anise starch strawberry \\\n",
"cuisine \n",
"african 0.000000 0.043478 0.008696 0.008696 0.008696 0.000000 \n",
"american 0.000100 0.010461 0.000473 0.000922 0.046227 0.023213 \n",
"asian 0.000838 0.012573 0.008382 0.035205 0.129925 0.002515 \n",
"cajun_creole 0.000000 0.006849 0.000000 0.000000 0.034247 0.000000 \n",
"canada 0.000000 0.006460 0.001292 0.000000 0.063307 0.019380 \n",
"\n",
" strawberry_jam strawberry_juice sturgeon_caviar sumac \\\n",
"cuisine \n",
"african 0.0 0.0 0.000000 0.0000 \n",
"american 0.0 0.0 0.000025 0.0001 \n",
"asian 0.0 0.0 0.000000 0.0000 \n",
"cajun_creole 0.0 0.0 0.000000 0.0000 \n",
"canada 0.0 0.0 0.000000 0.0000 \n",
"\n",
" sunflower_oil sweet_potato swiss_cheese tabasco_pepper \\\n",
"cuisine \n",
"african 0.008696 0.043478 0.000000 0.008696 \n",
"american 0.000025 0.010187 0.011233 0.018356 \n",
"asian 0.000000 0.010897 0.000838 0.010059 \n",
"cajun_creole 0.000000 0.013699 0.000000 0.136986 \n",
"canada 0.000000 0.006460 0.009044 0.031008 \n",
"\n",
" tamarind tangerine tarragon tea tequila thai_pepper \\\n",
"cuisine \n",
"african 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 \n",
"american 0.033773 0.000523 0.008692 0.001793 0.001768 0.000648 \n",
"asian 0.015926 0.006706 0.001676 0.006706 0.000000 0.041911 \n",
"cajun_creole 0.075342 0.000000 0.013699 0.000000 0.000000 0.000000 \n",
"canada 0.046512 0.000000 0.005168 0.006460 0.000000 0.003876 \n",
"\n",
" thyme tomato tomato_juice truffle tuna turkey \\\n",
"cuisine \n",
"african 0.069565 0.252174 0.000000 0.000000 0.017391 0.008696 \n",
"american 0.052329 0.138680 0.003213 0.000598 0.007796 0.017758 \n",
"asian 0.004191 0.057837 0.000000 0.000000 0.016764 0.006706 \n",
"cajun_creole 0.328767 0.315068 0.000000 0.000000 0.006849 0.034247 \n",
"canada 0.062016 0.170543 0.003876 0.000000 0.005168 0.006460 \n",
"\n",
" turmeric turnip vanilla veal vegetable \\\n",
"cuisine \n",
"african 0.156522 0.043478 0.026087 0.000000 0.034783 \n",
"american 0.014670 0.002516 0.197061 0.001694 0.019303 \n",
"asian 0.080469 0.004191 0.012573 0.000838 0.037720 \n",
"cajun_creole 0.000000 0.013699 0.041096 0.013699 0.027397 \n",
"canada 0.038760 0.006460 0.178295 0.002584 0.020672 \n",
"\n",
" vegetable_oil vinegar violet walnut wasabi watercress \\\n",
"cuisine \n",
"african 0.173913 0.052174 0.0000 0.026087 0.000000 0.000000 \n",
"american 0.187397 0.135492 0.0001 0.059950 0.001096 0.002092 \n",
"asian 0.360436 0.336966 0.0000 0.004191 0.026823 0.015088 \n",
"cajun_creole 0.342466 0.219178 0.0000 0.000000 0.000000 0.020548 \n",
"canada 0.187339 0.156331 0.0000 0.041344 0.000000 0.001292 \n",
"\n",
" watermelon wheat wheat_bread whiskey white_bread \\\n",
"cuisine \n",
"african 0.000000 0.260870 0.000000 0.000000 0.008696 \n",
"american 0.002167 0.398406 0.001569 0.002964 0.006874 \n",
"asian 0.001676 0.095557 0.000838 0.000838 0.001676 \n",
"cajun_creole 0.000000 0.308219 0.000000 0.000000 0.006849 \n",
"canada 0.000000 0.395349 0.005168 0.002584 0.003876 \n",
"\n",
" white_wine whole_grain_wheat_flour wine wood \\\n",
"cuisine \n",
"african 0.043478 0.008696 0.017391 0.000000 \n",
"american 0.030809 0.014819 0.011009 0.000672 \n",
"asian 0.038558 0.001676 0.124895 0.000000 \n",
"cajun_creole 0.082192 0.000000 0.191781 0.000000 \n",
"canada 0.029716 0.020672 0.003876 0.000000 \n",
"\n",
" yam yeast yogurt zucchini \n",
"cuisine \n",
"african 0.008696 0.017391 0.000000 0.034783 \n",
"american 0.001445 0.068219 0.016912 0.018630 \n",
"asian 0.001676 0.004191 0.010897 0.011735 \n",
"cajun_creole 0.006849 0.034247 0.006849 0.000000 \n",
"canada 0.001292 0.067183 0.019380 0.011628 "
]
},
"execution_count": 18,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"cuisines = recipes.groupby(\"cuisine\").mean()\n",
"cuisines.head()"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
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},
"source": [
"As shown above, we have just created a dataframe where each row is a cuisine and each column (except for the first column) is an ingredient, and the row values represent the percentage of each ingredient in the corresponding cuisine.\n",
"\n",
"**For example**:\n",
"\n",
"- _almond_ is present across 15.65% of all of the **African** recipes.\n",
"- _butter_ is present across 38.11% of all of the **Canadian** recipes.\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"Let's print out the profile for each cuisine by displaying the top four ingredients in each cuisine.\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"button": false,
"collapsed": true,
"jupyter": {
"outputs_hidden": true
},
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},
"outputs": [],
"source": [
"num_ingredients = 4 # define number of top ingredients to print\n",
"\n",
"# define a function that prints the top ingredients for each cuisine\n",
"def print_top_ingredients(row):\n",
" print(row.name.upper())\n",
" row_sorted = row.sort_values(ascending=False)*100\n",
" top_ingredients = list(row_sorted.index.values)[0:num_ingredients]\n",
" row_sorted = list(row_sorted)[0:num_ingredients]\n",
"\n",
" for ind, ingredient in enumerate(top_ingredients):\n",
" print(\"%s (%d%%)\" % (ingredient, row_sorted[ind]), end=' ')\n",
" print(\"\\n\")\n",
"\n",
"# apply function to cuisines dataframe\n",
"create_cuisines_profiles = cuisines.apply(print_top_ingredients, axis=1)"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
}
},
"source": [
"At this point, we feel that we have understood the data well and the data is ready and is in the right format for modeling!\n",
"\n",
"* * *\n"
]
},
{
"cell_type": "markdown",
"metadata": {
"button": false,
"new_sheet": false,
"run_control": {
"read_only": false
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},
"source": [
"### Thank you for completing this lab!\n",
"\n",
"This notebook is part of a course called _The Data Science Method_. If you accessed this notebook outside the course, you can take this course, online by clicking [here](https://cocl.us/DS0103EN-Exercise-From-Understanding-to-Preparation).\n",
"\n",
"## Author\n",
"\n",
"<a href=\"https://www.linkedin.com/in/aklson/\" target=\"_blank\">Alex Aklson</a>\n",
"\n",
"## Change Log\n",
"\n",
"| Date (YYYY-MM-DD) | Version | Changed By | Change Description |\n",
"| ----------------- | ------- | ---------- | ---------------------------------- |\n",
"| 2021-04-06 | 2.2 | Malika | Updated dataset link |\n",
"| 2020-09-23 | 2.1 | Lakshmi | Fixed Typo errors |\n",
"| 2020-08-27 | 2.0 | Lavanya | Moved lab to course repo in GitLab |\n",
"\n",
"<hr>\n",
"\n",
"## <h3 align=\"center\"> © IBM Corporation 2020. All rights reserved. <h3/>\n"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python",
"language": "python",
"name": "conda-env-python-py"
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"language_info": {
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"file_extension": ".py",
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"name": "python",
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