MachineLearning/ML_with_Spark.ipynb

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  {
   "cell_type": "markdown",
   "id": "3067c534-9a75-4ae8-86cf-f492d8754412",
   "metadata": {},
   "source": [
    "# Part 0: Spark Cluster"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "a1ade735-1bb8-4de7-9e43-f3a6fec73d88",
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    "tags": []
   },
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    {
     "data": {
      "text/html": [
       "\n",
       "            <div>\n",
       "                <p><b>SparkSession - hive</b></p>\n",
       "                \n",
       "        <div>\n",
       "            <p><b>SparkContext</b></p>\n",
       "\n",
       "            <p><a href=\"http://ip-172-31-2-35.us-east-2.compute.internal:4041\">Spark UI</a></p>\n",
       "\n",
       "            <dl>\n",
       "              <dt>Version</dt>\n",
       "                <dd><code>v3.3.0-amzn-1</code></dd>\n",
       "              <dt>Master</dt>\n",
       "                <dd><code>yarn</code></dd>\n",
       "              <dt>AppName</dt>\n",
       "                <dd><code>PySparkShell</code></dd>\n",
       "            </dl>\n",
       "        </div>\n",
       "        \n",
       "            </div>\n",
       "        "
      ],
      "text/plain": [
       "<pyspark.sql.session.SparkSession at 0x7fdb114bfc90>"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spark"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "8b7beab8-c031-4df2-b9b1-7d34b058e34e",
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    {
     "data": {
      "text/plain": [
       "'3.3.0-amzn-1'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spark.version"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c32e31a3-5903-4729-951f-08549462ad09",
   "metadata": {},
   "source": [
    "# Part I: Preparing features for machine learning\n",
    "\n",
    "Objectives are:\n",
    "\n",
    "1. Preparing a data set by cleaning the data\n",
    "2. Creating new features, which are fields that will serve in training the model\n",
    "3. Perform the training "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7d1a0fc9-8b5c-4791-9179-a116b7c21bbc",
   "metadata": {},
   "source": [
    "## Importing the `lib`"
   ]
  },
  {
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   "id": "c535ba2a-970c-4c8e-aa03-76cdb2e9368a",
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    "tags": []
   },
   "outputs": [],
   "source": [
    "import pyspark.sql.functions as F\n",
    "import pyspark.sql.types as T"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5bb26c6d-c802-45dd-91ad-7885941d9462",
   "metadata": {},
   "source": [
    "## Reading the `Recipes dataset`\n",
    "\n",
    "`Dataset` : \n",
    "\n",
    "- 20,057 dish names that contain 680 columns characterizing the ingredient list, the nutritional content, and the category of the dish [[dataset](https://www.kaggle.com/datasets/hugodarwood/epirecipes)]\n",
    "- Our `goal` here is to **predict if this dish is a dessert**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "144ff65b-7bbe-40c9-8a84-b4931e783b31",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "dataset = 's3://fcc-spark-example/dataset/2023/recipes_dataset/epi_r.csv'\n",
    "\n",
    "food = (\n",
    "            spark\n",
    "                .read\n",
    "                .csv(dataset, inferSchema=True, header=True)\n",
    "        )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "95675918-728f-4884-bdd8-673dbf526c20",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "23/08/21 20:28:53 WARN package: Truncated the string representation of a plan since it was too large. This behavior can be adjusted by setting 'spark.sql.debug.maxToStringFields'.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20057 680\n",
      "root\n",
      " |-- title: string (nullable = true)\n",
      " |-- rating: string (nullable = true)\n",
      " |-- calories: string (nullable = true)\n",
      " |-- protein: double (nullable = true)\n",
      " |-- fat: double (nullable = true)\n",
      " |-- sodium: double (nullable = true)\n",
      " |-- #cakeweek: double (nullable = true)\n",
      " |-- #wasteless: double (nullable = true)\n",
      " |-- 22-minute meals: double (nullable = true)\n",
      " |-- 3-ingredient recipes: double (nullable = true)\n",
      " |-- 30 days of groceries: double (nullable = true)\n",
      " |-- advance prep required: double (nullable = true)\n",
      " |-- alabama: double (nullable = true)\n",
      " |-- alaska: double (nullable = true)\n",
      " |-- alcoholic: double (nullable = true)\n",
      " |-- almond: double (nullable = true)\n",
      " |-- amaretto: double (nullable = true)\n",
      " |-- anchovy: double (nullable = true)\n",
      " |-- anise: double (nullable = true)\n",
      " |-- anniversary: double (nullable = true)\n",
      " |-- anthony bourdain: double (nullable = true)\n",
      " |-- aperitif: double (nullable = true)\n",
      " |-- appetizer: double (nullable = true)\n",
      " |-- apple: double (nullable = true)\n",
      " |-- apple juice: double (nullable = true)\n",
      " |-- apricot: double (nullable = true)\n",
      " |-- arizona: double (nullable = true)\n",
      " |-- artichoke: double (nullable = true)\n",
      " |-- arugula: double (nullable = true)\n",
      " |-- asian pear: double (nullable = true)\n",
      " |-- asparagus: double (nullable = true)\n",
      " |-- aspen: double (nullable = true)\n",
      " |-- atlanta: double (nullable = true)\n",
      " |-- australia: double (nullable = true)\n",
      " |-- avocado: double (nullable = true)\n",
      " |-- back to school: double (nullable = true)\n",
      " |-- backyard bbq: double (nullable = true)\n",
      " |-- bacon: double (nullable = true)\n",
      " |-- bake: double (nullable = true)\n",
      " |-- banana: double (nullable = true)\n",
      " |-- barley: double (nullable = true)\n",
      " |-- basil: double (nullable = true)\n",
      " |-- bass: double (nullable = true)\n",
      " |-- bastille day: double (nullable = true)\n",
      " |-- bean: double (nullable = true)\n",
      " |-- beef: double (nullable = true)\n",
      " |-- beef rib: double (nullable = true)\n",
      " |-- beef shank: double (nullable = true)\n",
      " |-- beef tenderloin: double (nullable = true)\n",
      " |-- beer: double (nullable = true)\n",
      " |-- beet: double (nullable = true)\n",
      " |-- bell pepper: double (nullable = true)\n",
      " |-- berry: double (nullable = true)\n",
      " |-- beverly hills: double (nullable = true)\n",
      " |-- birthday: double (nullable = true)\n",
      " |-- biscuit: double (nullable = true)\n",
      " |-- bitters: double (nullable = true)\n",
      " |-- blackberry: double (nullable = true)\n",
      " |-- blender: double (nullable = true)\n",
      " |-- blue cheese: double (nullable = true)\n",
      " |-- blueberry: double (nullable = true)\n",
      " |-- boil: double (nullable = true)\n",
      " |-- bok choy: double (nullable = true)\n",
      " |-- bon appétit: double (nullable = true)\n",
      " |-- bon app��tit: double (nullable = true)\n",
      " |-- boston: double (nullable = true)\n",
      " |-- bourbon: double (nullable = true)\n",
      " |-- braise: double (nullable = true)\n",
      " |-- bran: double (nullable = true)\n",
      " |-- brandy: double (nullable = true)\n",
      " |-- bread: double (nullable = true)\n",
      " |-- breadcrumbs: double (nullable = true)\n",
      " |-- breakfast: double (nullable = true)\n",
      " |-- brie: double (nullable = true)\n",
      " |-- brine: double (nullable = true)\n",
      " |-- brisket: double (nullable = true)\n",
      " |-- broccoli: double (nullable = true)\n",
      " |-- broccoli rabe: double (nullable = true)\n",
      " |-- broil: double (nullable = true)\n",
      " |-- brooklyn: double (nullable = true)\n",
      " |-- brown rice: double (nullable = true)\n",
      " |-- brownie: double (nullable = true)\n",
      " |-- brunch: double (nullable = true)\n",
      " |-- brussel sprout: double (nullable = true)\n",
      " |-- buffalo: double (nullable = true)\n",
      " |-- buffet: double (nullable = true)\n",
      " |-- bulgaria: double (nullable = true)\n",
      " |-- bulgur: double (nullable = true)\n",
      " |-- burrito: double (nullable = true)\n",
      " |-- butter: double (nullable = true)\n",
      " |-- buttermilk: double (nullable = true)\n",
      " |-- butternut squash: double (nullable = true)\n",
      " |-- butterscotch/caramel: double (nullable = true)\n",
      " |-- cabbage: double (nullable = true)\n",
      " |-- cake: double (nullable = true)\n",
      " |-- california: double (nullable = true)\n",
      " |-- calvados: double (nullable = true)\n",
      " |-- cambridge: double (nullable = true)\n",
      " |-- campari: double (nullable = true)\n",
      " |-- camping: double (nullable = true)\n",
      " |-- canada: double (nullable = true)\n",
      " |-- candy: double (nullable = true)\n",
      " |-- candy thermometer: double (nullable = true)\n",
      " |-- cantaloupe: double (nullable = true)\n",
      " |-- capers: double (nullable = true)\n",
      " |-- caraway: double (nullable = true)\n",
      " |-- cardamom: double (nullable = true)\n",
      " |-- carrot: double (nullable = true)\n",
      " |-- cashew: double (nullable = true)\n",
      " |-- casserole/gratin: double (nullable = true)\n",
      " |-- cauliflower: double (nullable = true)\n",
      " |-- caviar: double (nullable = true)\n",
      " |-- celery: double (nullable = true)\n",
      " |-- chambord: double (nullable = true)\n",
      " |-- champagne: double (nullable = true)\n",
      " |-- chard: double (nullable = true)\n",
      " |-- chartreuse: double (nullable = true)\n",
      " |-- cheddar: double (nullable = true)\n",
      " |-- cheese: double (nullable = true)\n",
      " |-- cherry: double (nullable = true)\n",
      " |-- chestnut: double (nullable = true)\n",
      " |-- chicago: double (nullable = true)\n",
      " |-- chicken: double (nullable = true)\n",
      " |-- chickpea: double (nullable = true)\n",
      " |-- chile: double (nullable = true)\n",
      " |-- chile pepper: double (nullable = true)\n",
      " |-- chili: double (nullable = true)\n",
      " |-- chill: double (nullable = true)\n",
      " |-- chive: double (nullable = true)\n",
      " |-- chocolate: double (nullable = true)\n",
      " |-- christmas: double (nullable = true)\n",
      " |-- christmas eve: double (nullable = true)\n",
      " |-- cilantro: double (nullable = true)\n",
      " |-- cinco de mayo: double (nullable = true)\n",
      " |-- cinnamon: double (nullable = true)\n",
      " |-- citrus: double (nullable = true)\n",
      " |-- clam: double (nullable = true)\n",
      " |-- clove: double (nullable = true)\n",
      " |-- cobbler/crumble: double (nullable = true)\n",
      " |-- cocktail: double (nullable = true)\n",
      " |-- cocktail party: double (nullable = true)\n",
      " |-- coconut: double (nullable = true)\n",
      " |-- cod: double (nullable = true)\n",
      " |-- coffee: double (nullable = true)\n",
      " |-- coffee grinder: double (nullable = true)\n",
      " |-- cognac/armagnac: double (nullable = true)\n",
      " |-- collard greens: double (nullable = true)\n",
      " |-- colorado: double (nullable = true)\n",
      " |-- columbus: double (nullable = true)\n",
      " |-- condiment: double (nullable = true)\n",
      " |-- condiment/spread: double (nullable = true)\n",
      " |-- connecticut: double (nullable = true)\n",
      " |-- cook like a diner: double (nullable = true)\n",
      " |-- cookbook critic: double (nullable = true)\n",
      " |-- cookie: double (nullable = true)\n",
      " |-- cookies: double (nullable = true)\n",
      " |-- coriander: double (nullable = true)\n",
      " |-- corn: double (nullable = true)\n",
      " |-- cornmeal: double (nullable = true)\n",
      " |-- costa mesa: double (nullable = true)\n",
      " |-- cottage cheese: double (nullable = true)\n",
      " |-- couscous: double (nullable = true)\n",
      " |-- crab: double (nullable = true)\n",
      " |-- cranberry: double (nullable = true)\n",
      " |-- cranberry sauce: double (nullable = true)\n",
      " |-- cream cheese: double (nullable = true)\n",
      " |-- créme de cacao: double (nullable = true)\n",
      " |-- crêpe: double (nullable = true)\n",
      " |-- cr��me de cacao: double (nullable = true)\n",
      " |-- cuba: double (nullable = true)\n",
      " |-- cucumber: double (nullable = true)\n",
      " |-- cumin: double (nullable = true)\n",
      " |-- cupcake: double (nullable = true)\n",
      " |-- currant: double (nullable = true)\n",
      " |-- curry: double (nullable = true)\n",
      " |-- custard: double (nullable = true)\n",
      " |-- dairy: double (nullable = true)\n",
      " |-- dairy free: double (nullable = true)\n",
      " |-- dallas: double (nullable = true)\n",
      " |-- date: double (nullable = true)\n",
      " |-- deep-fry: double (nullable = true)\n",
      " |-- denver: double (nullable = true)\n",
      " |-- dessert: double (nullable = true)\n",
      " |-- digestif: double (nullable = true)\n",
      " |-- dill: double (nullable = true)\n",
      " |-- dinner: double (nullable = true)\n",
      " |-- dip: double (nullable = true)\n",
      " |-- diwali: double (nullable = true)\n",
      " |-- dominican republic: double (nullable = true)\n",
      " |-- dorie greenspan: double (nullable = true)\n",
      " |-- double boiler: double (nullable = true)\n",
      " |-- dried fruit: double (nullable = true)\n",
      " |-- drink: double (nullable = true)\n",
      " |-- drinks: double (nullable = true)\n",
      " |-- duck: double (nullable = true)\n",
      " |-- easter: double (nullable = true)\n",
      " |-- eau de vie: double (nullable = true)\n",
      " |-- edible gift: double (nullable = true)\n",
      " |-- egg: double (nullable = true)\n",
      " |-- egg nog: double (nullable = true)\n",
      " |-- eggplant: double (nullable = true)\n",
      " |-- egypt: double (nullable = true)\n",
      " |-- emeril lagasse: double (nullable = true)\n",
      " |-- endive: double (nullable = true)\n",
      " |-- engagement party: double (nullable = true)\n",
      " |-- england: double (nullable = true)\n",
      " |-- entertaining: double (nullable = true)\n",
      " |-- epi + ushg: double (nullable = true)\n",
      " |-- epi loves the microwave: double (nullable = true)\n",
      " |-- escarole: double (nullable = true)\n",
      " |-- fall: double (nullable = true)\n",
      " |-- family reunion: double (nullable = true)\n",
      " |-- fat free: double (nullable = true)\n",
      " |-- father's day: double (nullable = true)\n",
      " |-- fennel: double (nullable = true)\n",
      " |-- feta: double (nullable = true)\n",
      " |-- fig: double (nullable = true)\n",
      " |-- fish: double (nullable = true)\n",
      " |-- flaming hot summer: double (nullable = true)\n",
      " |-- flat bread: double (nullable = true)\n",
      " |-- florida: double (nullable = true)\n",
      " |-- fontina: double (nullable = true)\n",
      " |-- food processor: double (nullable = true)\n",
      " |-- fortified wine: double (nullable = true)\n",
      " |-- fourth of july: double (nullable = true)\n",
      " |-- france: double (nullable = true)\n",
      " |-- frangelico: double (nullable = true)\n",
      " |-- frankenrecipe: double (nullable = true)\n",
      " |-- freeze/chill: double (nullable = true)\n",
      " |-- freezer food: double (nullable = true)\n",
      " |-- friendsgiving: double (nullable = true)\n",
      " |-- frittata: double (nullable = true)\n",
      " |-- fritter: double (nullable = true)\n",
      " |-- frozen dessert: double (nullable = true)\n",
      " |-- fruit: double (nullable = true)\n",
      " |-- fruit juice: double (nullable = true)\n",
      " |-- fry: double (nullable = true)\n",
      " |-- game: double (nullable = true)\n",
      " |-- garlic: double (nullable = true)\n",
      " |-- georgia: double (nullable = true)\n",
      " |-- germany: double (nullable = true)\n",
      " |-- gin: double (nullable = true)\n",
      " |-- ginger: double (nullable = true)\n",
      " |-- goat cheese: double (nullable = true)\n",
      " |-- goose: double (nullable = true)\n",
      " |-- gouda: double (nullable = true)\n",
      " |-- gourmet: double (nullable = true)\n",
      " |-- graduation: double (nullable = true)\n",
      " |-- grains: double (nullable = true)\n",
      " |-- grand marnier: double (nullable = true)\n",
      " |-- granola: double (nullable = true)\n",
      " |-- grape: double (nullable = true)\n",
      " |-- grapefruit: double (nullable = true)\n",
      " |-- grappa: double (nullable = true)\n",
      " |-- green bean: double (nullable = true)\n",
      " |-- green onion/scallion: double (nullable = true)\n",
      " |-- grill: double (nullable = true)\n",
      " |-- grill/barbecue: double (nullable = true)\n",
      " |-- ground beef: double (nullable = true)\n",
      " |-- ground lamb: double (nullable = true)\n",
      " |-- guam: double (nullable = true)\n",
      " |-- guava: double (nullable = true)\n",
      " |-- haiti: double (nullable = true)\n",
      " |-- halibut: double (nullable = true)\n",
      " |-- halloween: double (nullable = true)\n",
      " |-- ham: double (nullable = true)\n",
      " |-- hamburger: double (nullable = true)\n",
      " |-- hanukkah: double (nullable = true)\n",
      " |-- harpercollins: double (nullable = true)\n",
      " |-- hawaii: double (nullable = true)\n",
      " |-- hazelnut: double (nullable = true)\n",
      " |-- healdsburg: double (nullable = true)\n",
      " |-- healthy: double (nullable = true)\n",
      " |-- herb: double (nullable = true)\n",
      " |-- high fiber: double (nullable = true)\n",
      " |-- hollywood: double (nullable = true)\n",
      " |-- hominy/cornmeal/masa: double (nullable = true)\n",
      " |-- honey: double (nullable = true)\n",
      " |-- honeydew: double (nullable = true)\n",
      " |-- hors d'oeuvre: double (nullable = true)\n",
      " |-- horseradish: double (nullable = true)\n",
      " |-- hot drink: double (nullable = true)\n",
      " |-- hot pepper: double (nullable = true)\n",
      " |-- house & garden: double (nullable = true)\n",
      " |-- house cocktail: double (nullable = true)\n",
      " |-- houston: double (nullable = true)\n",
      " |-- hummus: double (nullable = true)\n",
      " |-- ice cream: double (nullable = true)\n",
      " |-- ice cream machine: double (nullable = true)\n",
      " |-- iced coffee: double (nullable = true)\n",
      " |-- iced tea: double (nullable = true)\n",
      " |-- idaho: double (nullable = true)\n",
      " |-- illinois: double (nullable = true)\n",
      " |-- indiana: double (nullable = true)\n",
      " |-- iowa: double (nullable = true)\n",
      " |-- ireland: double (nullable = true)\n",
      " |-- israel: double (nullable = true)\n",
      " |-- italy: double (nullable = true)\n",
      " |-- jalapeño: double (nullable = true)\n",
      " |-- jam or jelly: double (nullable = true)\n",
      " |-- jamaica: double (nullable = true)\n",
      " |-- japan: double (nullable = true)\n",
      " |-- jerusalem artichoke: double (nullable = true)\n",
      " |-- juicer: double (nullable = true)\n",
      " |-- jícama: double (nullable = true)\n",
      " |-- kahlúa: double (nullable = true)\n",
      " |-- kale: double (nullable = true)\n",
      " |-- kansas: double (nullable = true)\n",
      " |-- kansas city: double (nullable = true)\n",
      " |-- kentucky: double (nullable = true)\n",
      " |-- kentucky derby: double (nullable = true)\n",
      " |-- kid-friendly: double (nullable = true)\n",
      " |-- kidney friendly: double (nullable = true)\n",
      " |-- kirsch: double (nullable = true)\n",
      " |-- kitchen olympics: double (nullable = true)\n",
      " |-- kiwi: double (nullable = true)\n",
      " |-- kosher: double (nullable = true)\n",
      " |-- kosher for passover: double (nullable = true)\n",
      " |-- kumquat: double (nullable = true)\n",
      " |-- kwanzaa: double (nullable = true)\n",
      " |-- labor day: double (nullable = true)\n",
      " |-- lamb: double (nullable = true)\n",
      " |-- lamb chop: double (nullable = true)\n",
      " |-- lamb shank: double (nullable = true)\n",
      " |-- lancaster: double (nullable = true)\n",
      " |-- las vegas: double (nullable = true)\n",
      " |-- lasagna: double (nullable = true)\n",
      " |-- leafy green: double (nullable = true)\n",
      " |-- leek: double (nullable = true)\n",
      " |-- legume: double (nullable = true)\n",
      " |-- lemon: double (nullable = true)\n",
      " |-- lemon juice: double (nullable = true)\n",
      " |-- lemongrass: double (nullable = true)\n",
      " |-- lentil: double (nullable = true)\n",
      " |-- lettuce: double (nullable = true)\n",
      " |-- lima bean: double (nullable = true)\n",
      " |-- lime: double (nullable = true)\n",
      " |-- lime juice: double (nullable = true)\n",
      " |-- lingonberry: double (nullable = true)\n",
      " |-- liqueur: double (nullable = true)\n",
      " |-- lobster: double (nullable = true)\n",
      " |-- london: double (nullable = true)\n",
      " |-- long beach: double (nullable = true)\n",
      " |-- los angeles: double (nullable = true)\n",
      " |-- louisiana: double (nullable = true)\n",
      " |-- louisville: double (nullable = true)\n",
      " |-- low cal: double (nullable = true)\n",
      " |-- low carb: double (nullable = true)\n",
      " |-- low cholesterol: double (nullable = true)\n",
      " |-- low fat: double (nullable = true)\n",
      " |-- low sodium: double (nullable = true)\n",
      " |-- low sugar: double (nullable = true)\n",
      " |-- low/no sugar: double (nullable = true)\n",
      " |-- lunar new year: double (nullable = true)\n",
      " |-- lunch: double (nullable = true)\n",
      " |-- lychee: double (nullable = true)\n",
      " |-- macadamia nut: double (nullable = true)\n",
      " |-- macaroni and cheese: double (nullable = true)\n",
      " |-- maine: double (nullable = true)\n",
      " |-- mandoline: double (nullable = true)\n",
      " |-- mango: double (nullable = true)\n",
      " |-- maple syrup: double (nullable = true)\n",
      " |-- mardi gras: double (nullable = true)\n",
      " |-- margarita: double (nullable = true)\n",
      " |-- marinade: double (nullable = true)\n",
      " |-- marinate: double (nullable = true)\n",
      " |-- marsala: double (nullable = true)\n",
      " |-- marscarpone: double (nullable = true)\n",
      " |-- marshmallow: double (nullable = true)\n",
      " |-- martini: double (nullable = true)\n",
      " |-- maryland: double (nullable = true)\n",
      " |-- massachusetts: double (nullable = true)\n",
      " |-- mayonnaise: double (nullable = true)\n",
      " |-- meat: double (nullable = true)\n",
      " |-- meatball: double (nullable = true)\n",
      " |-- meatloaf: double (nullable = true)\n",
      " |-- melon: double (nullable = true)\n",
      " |-- mexico: double (nullable = true)\n",
      " |-- mezcal: double (nullable = true)\n",
      " |-- miami: double (nullable = true)\n",
      " |-- michigan: double (nullable = true)\n",
      " |-- microwave: double (nullable = true)\n",
      " |-- midori: double (nullable = true)\n",
      " |-- milk/cream: double (nullable = true)\n",
      " |-- minneapolis: double (nullable = true)\n",
      " |-- minnesota: double (nullable = true)\n",
      " |-- mint: double (nullable = true)\n",
      " |-- mississippi: double (nullable = true)\n",
      " |-- missouri: double (nullable = true)\n",
      " |-- mixer: double (nullable = true)\n",
      " |-- molasses: double (nullable = true)\n",
      " |-- monterey jack: double (nullable = true)\n",
      " |-- mortar and pestle: double (nullable = true)\n",
      " |-- mother's day: double (nullable = true)\n",
      " |-- mozzarella: double (nullable = true)\n",
      " |-- muffin: double (nullable = true)\n",
      " |-- mushroom: double (nullable = true)\n",
      " |-- mussel: double (nullable = true)\n",
      " |-- mustard: double (nullable = true)\n",
      " |-- mustard greens: double (nullable = true)\n",
      " |-- nancy silverton: double (nullable = true)\n",
      " |-- nebraska: double (nullable = true)\n",
      " |-- nectarine: double (nullable = true)\n",
      " |-- new hampshire: double (nullable = true)\n",
      " |-- new jersey: double (nullable = true)\n",
      " |-- new mexico: double (nullable = true)\n",
      " |-- new orleans: double (nullable = true)\n",
      " |-- new year's day: double (nullable = true)\n",
      " |-- new year's eve: double (nullable = true)\n",
      " |-- new york: double (nullable = true)\n",
      " |-- no meat, no problem: double (nullable = true)\n",
      " |-- no sugar added: double (nullable = true)\n",
      " |-- no-cook: double (nullable = true)\n",
      " |-- non-alcoholic: double (nullable = true)\n",
      " |-- noodle: double (nullable = true)\n",
      " |-- north carolina: double (nullable = true)\n",
      " |-- nut: double (nullable = true)\n",
      " |-- nutmeg: double (nullable = true)\n",
      " |-- oat: double (nullable = true)\n",
      " |-- oatmeal: double (nullable = true)\n",
      " |-- octopus: double (nullable = true)\n",
      " |-- ohio: double (nullable = true)\n",
      " |-- oklahoma: double (nullable = true)\n",
      " |-- okra: double (nullable = true)\n",
      " |-- oktoberfest: double (nullable = true)\n",
      " |-- olive: double (nullable = true)\n",
      " |-- omelet: double (nullable = true)\n",
      " |-- one-pot meal: double (nullable = true)\n",
      " |-- onion: double (nullable = true)\n",
      " |-- orange: double (nullable = true)\n",
      " |-- orange juice: double (nullable = true)\n",
      " |-- oregano: double (nullable = true)\n",
      " |-- oregon: double (nullable = true)\n",
      " |-- organic: double (nullable = true)\n",
      " |-- orzo: double (nullable = true)\n",
      " |-- oscars: double (nullable = true)\n",
      " |-- oyster: double (nullable = true)\n",
      " |-- pacific palisades: double (nullable = true)\n",
      " |-- paleo: double (nullable = true)\n",
      " |-- pan-fry: double (nullable = true)\n",
      " |-- pancake: double (nullable = true)\n",
      " |-- papaya: double (nullable = true)\n",
      " |-- paprika: double (nullable = true)\n",
      " |-- parade: double (nullable = true)\n",
      " |-- paris: double (nullable = true)\n",
      " |-- parmesan: double (nullable = true)\n",
      " |-- parsley: double (nullable = true)\n",
      " |-- parsnip: double (nullable = true)\n",
      " |-- party: double (nullable = true)\n",
      " |-- pasadena: double (nullable = true)\n",
      " |-- passion fruit: double (nullable = true)\n",
      " |-- passover: double (nullable = true)\n",
      " |-- pasta: double (nullable = true)\n",
      " |-- pasta maker: double (nullable = true)\n",
      " |-- pastry: double (nullable = true)\n",
      " |-- pea: double (nullable = true)\n",
      " |-- peach: double (nullable = true)\n",
      " |-- peanut: double (nullable = true)\n",
      " |-- peanut butter: double (nullable = true)\n",
      " |-- peanut free: double (nullable = true)\n",
      " |-- pear: double (nullable = true)\n",
      " |-- pecan: double (nullable = true)\n",
      " |-- pennsylvania: double (nullable = true)\n",
      " |-- pepper: double (nullable = true)\n",
      " |-- pernod: double (nullable = true)\n",
      " |-- persian new year: double (nullable = true)\n",
      " |-- persimmon: double (nullable = true)\n",
      " |-- peru: double (nullable = true)\n",
      " |-- pescatarian: double (nullable = true)\n",
      " |-- philippines: double (nullable = true)\n",
      " |-- phyllo/puff pastry dough: double (nullable = true)\n",
      " |-- pickles: double (nullable = true)\n",
      " |-- picnic: double (nullable = true)\n",
      " |-- pie: double (nullable = true)\n",
      " |-- pine nut: double (nullable = true)\n",
      " |-- pineapple: double (nullable = true)\n",
      " |-- pistachio: double (nullable = true)\n",
      " |-- pittsburgh: double (nullable = true)\n",
      " |-- pizza: double (nullable = true)\n",
      " |-- plantain: double (nullable = true)\n",
      " |-- plum: double (nullable = true)\n",
      " |-- poach: double (nullable = true)\n",
      " |-- poblano: double (nullable = true)\n",
      " |-- poker/game night: double (nullable = true)\n",
      " |-- pomegranate: double (nullable = true)\n",
      " |-- pomegranate juice: double (nullable = true)\n",
      " |-- poppy: double (nullable = true)\n",
      " |-- pork: double (nullable = true)\n",
      " |-- pork chop: double (nullable = true)\n",
      " |-- pork rib: double (nullable = true)\n",
      " |-- pork tenderloin: double (nullable = true)\n",
      " |-- port: double (nullable = true)\n",
      " |-- portland: double (nullable = true)\n",
      " |-- pot pie: double (nullable = true)\n",
      " |-- potato: double (nullable = true)\n",
      " |-- potato salad: double (nullable = true)\n",
      " |-- potluck: double (nullable = true)\n",
      " |-- poultry: double (nullable = true)\n",
      " |-- poultry sausage: double (nullable = true)\n",
      " |-- pressure cooker: double (nullable = true)\n",
      " |-- prosciutto: double (nullable = true)\n",
      " |-- providence: double (nullable = true)\n",
      " |-- prune: double (nullable = true)\n",
      " |-- pumpkin: double (nullable = true)\n",
      " |-- punch: double (nullable = true)\n",
      " |-- purim: double (nullable = true)\n",
      " |-- quail: double (nullable = true)\n",
      " |-- quiche: double (nullable = true)\n",
      " |-- quick & easy: double (nullable = true)\n",
      " |-- quick and healthy: double (nullable = true)\n",
      " |-- quince: double (nullable = true)\n",
      " |-- quinoa: double (nullable = true)\n",
      " |-- rabbit: double (nullable = true)\n",
      " |-- rack of lamb: double (nullable = true)\n",
      " |-- radicchio: double (nullable = true)\n",
      " |-- radish: double (nullable = true)\n",
      " |-- raisin: double (nullable = true)\n",
      " |-- ramadan: double (nullable = true)\n",
      " |-- ramekin: double (nullable = true)\n",
      " |-- raspberry: double (nullable = true)\n",
      " |-- raw: double (nullable = true)\n",
      " |-- red wine: double (nullable = true)\n",
      " |-- rhode island: double (nullable = true)\n",
      " |-- rhubarb: double (nullable = true)\n",
      " |-- rice: double (nullable = true)\n",
      " |-- ricotta: double (nullable = true)\n",
      " |-- roast: double (nullable = true)\n",
      " |-- root vegetable: double (nullable = true)\n",
      " |-- rosemary: double (nullable = true)\n",
      " |-- rosh hashanah/yom kippur: double (nullable = true)\n",
      " |-- rosé: double (nullable = true)\n",
      " |-- rub: double (nullable = true)\n",
      " |-- rum: double (nullable = true)\n",
      " |-- rutabaga: double (nullable = true)\n",
      " |-- rye: double (nullable = true)\n",
      " |-- saffron: double (nullable = true)\n",
      " |-- sage: double (nullable = true)\n",
      " |-- sake: double (nullable = true)\n",
      " |-- salad: double (nullable = true)\n",
      " |-- salad dressing: double (nullable = true)\n",
      " |-- salmon: double (nullable = true)\n",
      " |-- salsa: double (nullable = true)\n",
      " |-- san francisco: double (nullable = true)\n",
      " |-- sandwich: double (nullable = true)\n",
      " |-- sandwich theory: double (nullable = true)\n",
      " |-- sangria: double (nullable = true)\n",
      " |-- santa monica: double (nullable = true)\n",
      " |-- sardine: double (nullable = true)\n",
      " |-- sauce: double (nullable = true)\n",
      " |-- sausage: double (nullable = true)\n",
      " |-- sauté: double (nullable = true)\n",
      " |-- scallop: double (nullable = true)\n",
      " |-- scotch: double (nullable = true)\n",
      " |-- seafood: double (nullable = true)\n",
      " |-- seattle: double (nullable = true)\n",
      " |-- seed: double (nullable = true)\n",
      " |-- self: double (nullable = true)\n",
      " |-- semolina: double (nullable = true)\n",
      " |-- sesame: double (nullable = true)\n",
      " |-- sesame oil: double (nullable = true)\n",
      " |-- shallot: double (nullable = true)\n",
      " |-- shavuot: double (nullable = true)\n",
      " |-- shellfish: double (nullable = true)\n",
      " |-- sherry: double (nullable = true)\n",
      " |-- shower: double (nullable = true)\n",
      " |-- shrimp: double (nullable = true)\n",
      " |-- side: double (nullable = true)\n",
      " |-- simmer: double (nullable = true)\n",
      " |-- skewer: double (nullable = true)\n",
      " |-- slow cooker: double (nullable = true)\n",
      " |-- smoker: double (nullable = true)\n",
      " |-- smoothie: double (nullable = true)\n",
      " |-- snapper: double (nullable = true)\n",
      " |-- sorbet: double (nullable = true)\n",
      " |-- soufflé/meringue: double (nullable = true)\n",
      " |-- soup/stew: double (nullable = true)\n",
      " |-- sour cream: double (nullable = true)\n",
      " |-- sourdough: double (nullable = true)\n",
      " |-- south carolina: double (nullable = true)\n",
      " |-- soy: double (nullable = true)\n",
      " |-- soy free: double (nullable = true)\n",
      " |-- soy sauce: double (nullable = true)\n",
      " |-- spain: double (nullable = true)\n",
      " |-- sparkling wine: double (nullable = true)\n",
      " |-- spice: double (nullable = true)\n",
      " |-- spinach: double (nullable = true)\n",
      " |-- spirit: double (nullable = true)\n",
      " |-- spring: double (nullable = true)\n",
      " |-- spritzer: double (nullable = true)\n",
      " |-- squash: double (nullable = true)\n",
      " |-- squid: double (nullable = true)\n",
      " |-- st. louis: double (nullable = true)\n",
      " |-- st. patrick's day: double (nullable = true)\n",
      " |-- steak: double (nullable = true)\n",
      " |-- steam: double (nullable = true)\n",
      " |-- stew: double (nullable = true)\n",
      " |-- stir-fry: double (nullable = true)\n",
      " |-- stock: double (nullable = true)\n",
      " |-- strawberry: double (nullable = true)\n",
      " |-- stuffing/dressing: double (nullable = true)\n",
      " |-- sugar conscious: double (nullable = true)\n",
      " |-- sugar snap pea: double (nullable = true)\n",
      " |-- sukkot: double (nullable = true)\n",
      " |-- summer: double (nullable = true)\n",
      " |-- super bowl: double (nullable = true)\n",
      " |-- suzanne goin: double (nullable = true)\n",
      " |-- sweet potato/yam: double (nullable = true)\n",
      " |-- swiss cheese: double (nullable = true)\n",
      " |-- switzerland: double (nullable = true)\n",
      " |-- swordfish: double (nullable = true)\n",
      " |-- taco: double (nullable = true)\n",
      " |-- tailgating: double (nullable = true)\n",
      " |-- tamarind: double (nullable = true)\n",
      " |-- tangerine: double (nullable = true)\n",
      " |-- tapioca: double (nullable = true)\n",
      " |-- tarragon: double (nullable = true)\n",
      " |-- tart: double (nullable = true)\n",
      " |-- tea: double (nullable = true)\n",
      " |-- tennessee: double (nullable = true)\n",
      " |-- tequila: double (nullable = true)\n",
      " |-- tested & improved: double (nullable = true)\n",
      " |-- texas: double (nullable = true)\n",
      " |-- thanksgiving: double (nullable = true)\n",
      " |-- thyme: double (nullable = true)\n",
      " |-- tilapia: double (nullable = true)\n",
      " |-- tofu: double (nullable = true)\n",
      " |-- tomatillo: double (nullable = true)\n",
      " |-- tomato: double (nullable = true)\n",
      " |-- tortillas: double (nullable = true)\n",
      " |-- tree nut: double (nullable = true)\n",
      " |-- tree nut free: double (nullable = true)\n",
      " |-- triple sec: double (nullable = true)\n",
      " |-- tropical fruit: double (nullable = true)\n",
      " |-- trout: double (nullable = true)\n",
      " |-- tuna: double (nullable = true)\n",
      " |-- turnip: double (nullable = true)\n",
      " |-- utah: double (nullable = true)\n",
      " |-- valentine's day: double (nullable = true)\n",
      " |-- vanilla: double (nullable = true)\n",
      " |-- veal: double (nullable = true)\n",
      " |-- vegan: double (nullable = true)\n",
      " |-- vegetable: double (nullable = true)\n",
      " |-- vegetarian: double (nullable = true)\n",
      " |-- venison: double (nullable = true)\n",
      " |-- vermont: double (nullable = true)\n",
      " |-- vermouth: double (nullable = true)\n",
      " |-- vinegar: double (nullable = true)\n",
      " |-- virginia: double (nullable = true)\n",
      " |-- vodka: double (nullable = true)\n",
      " |-- waffle: double (nullable = true)\n",
      " |-- walnut: double (nullable = true)\n",
      " |-- wasabi: double (nullable = true)\n",
      " |-- washington: double (nullable = true)\n",
      " |-- washington, d.c.: double (nullable = true)\n",
      " |-- watercress: double (nullable = true)\n",
      " |-- watermelon: double (nullable = true)\n",
      " |-- wedding: double (nullable = true)\n",
      " |-- weelicious: double (nullable = true)\n",
      " |-- west virginia: double (nullable = true)\n",
      " |-- westwood: double (nullable = true)\n",
      " |-- wheat/gluten-free: double (nullable = true)\n",
      " |-- whiskey: double (nullable = true)\n",
      " |-- white wine: double (nullable = true)\n",
      " |-- whole wheat: double (nullable = true)\n",
      " |-- wild rice: double (nullable = true)\n",
      " |-- windsor: double (nullable = true)\n",
      " |-- wine: double (nullable = true)\n",
      " |-- winter: double (nullable = true)\n",
      " |-- wisconsin: double (nullable = true)\n",
      " |-- wok: double (nullable = true)\n",
      " |-- yellow squash: double (nullable = true)\n",
      " |-- yogurt: double (nullable = true)\n",
      " |-- yonkers: double (nullable = true)\n",
      " |-- yuca: double (nullable = true)\n",
      " |-- zucchini: double (nullable = true)\n",
      " |-- cookbooks: double (nullable = true)\n",
      " |-- leftovers: double (nullable = true)\n",
      " |-- snack: double (nullable = true)\n",
      " |-- snack week: double (nullable = true)\n",
      " |-- turkey: double (nullable = true)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(food.count(), len(food.columns))\n",
    "food.printSchema()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a32cc2b9-96ae-44d6-a6f3-0ee969702c86",
   "metadata": {},
   "source": [
    "## Standardizing `column` names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "4425a74b-f4b2-4546-b7b6-53efbca06734",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def sanitize_column_name(col_name):\n",
    "    \"\"\"\n",
    "    Drops unwanted characters from the column name.\n",
    "    Replaces spaces, dashes, slashes with underscores,\n",
    "    and keeps only alphanumeric characters and underscores.\n",
    "    \"\"\"\n",
    "    replacements = {\n",
    "        \" \": \"_\",\n",
    "        \"-\": \"_\",\n",
    "        \"/\": \"_\",\n",
    "        \"&\": \"and\"\n",
    "    }\n",
    "\n",
    "    # Apply character replacements\n",
    "    for char, replacement in replacements.items():\n",
    "        col_name = col_name.replace(char, replacement)\n",
    "\n",
    "    # Filter and join valid characters\n",
    "    sanitized_name = \"\".join(char for char in col_name if char.isalnum() or char == \"_\")\n",
    "\n",
    "    return sanitized_name\n",
    "\n",
    "food = food.toDF(*[sanitize_column_name(col_name) for col_name in food.columns])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f9e33848-7968-4830-896e-887ca9baf4cd",
   "metadata": {
    "tags": [],
    "toc-hr-collapsed": true
   },
   "source": [
    "## EDA and Feature Engineering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "444a9d17-f57f-46a5-8cfb-909c635e0def",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------+---------------------------------------------------------------------------------+\n",
      "|summary|title                                                                            |\n",
      "+-------+---------------------------------------------------------------------------------+\n",
      "|count  |20057                                                                            |\n",
      "|mean   |null                                                                             |\n",
      "|stddev |null                                                                             |\n",
      "|min    |                Blistered-Chile–Pumpkin Seed Salsa \"                             |\n",
      "|25%    |null                                                                             |\n",
      "|50%    |null                                                                             |\n",
      "|75%    |null                                                                             |\n",
      "|max    |Zuppa di Cavolo Nero, Cannellini, e Salsicce: Kale, White Bean, and Sausage Soup |\n",
      "+-------+---------------------------------------------------------------------------------+\n",
      "\n",
      "+-------+------------------------+\n",
      "|summary|rating                  |\n",
      "+-------+------------------------+\n",
      "|count  |20052                   |\n",
      "|mean   |3.714460295291301       |\n",
      "|stddev |1.3409187660508957      |\n",
      "|min    | Aged Balsamic Vinegar \"|\n",
      "|25%    |3.75                    |\n",
      "|50%    |4.375                   |\n",
      "|75%    |4.375                   |\n",
      "|max    |5.0                     |\n",
      "+-------+------------------------+\n",
      "\n",
      "+-------+------------------+\n",
      "|summary|calories          |\n",
      "+-------+------------------+\n",
      "|count  |15936             |\n",
      "|mean   |6323.2701063763025|\n",
      "|stddev |359057.3063755892 |\n",
      "|min    | and Lemon \"      |\n",
      "|25%    |198.0             |\n",
      "|50%    |331.0             |\n",
      "|75%    |586.0             |\n",
      "|max    |999.0             |\n",
      "+-------+------------------+\n",
      "\n",
      "+-------+------------------+\n",
      "|summary|protein           |\n",
      "+-------+------------------+\n",
      "|count  |15891             |\n",
      "|mean   |100.19911427852243|\n",
      "|stddev |3840.1994345415883|\n",
      "|min    |0.0               |\n",
      "|25%    |3.0               |\n",
      "|50%    |8.0               |\n",
      "|75%    |27.0              |\n",
      "|max    |236489.0          |\n",
      "+-------+------------------+\n",
      "\n",
      "+-------+------------------+\n",
      "|summary|fat               |\n",
      "+-------+------------------+\n",
      "|count  |15869             |\n",
      "|mean   |346.91247085512634|\n",
      "|stddev |20456.106754746786|\n",
      "|min    |0.0               |\n",
      "|25%    |7.0               |\n",
      "|50%    |17.0              |\n",
      "|75%    |33.0              |\n",
      "|max    |1722763.0         |\n",
      "+-------+------------------+\n",
      "\n",
      "+-------+-----------------+\n",
      "|summary|sodium           |\n",
      "+-------+-----------------+\n",
      "|count  |15933            |\n",
      "|mean   |6225.759618402059|\n",
      "|stddev |333318.192511923 |\n",
      "|min    |0.0              |\n",
      "|25%    |80.0             |\n",
      "|50%    |294.0            |\n",
      "|75%    |710.0            |\n",
      "|max    |2.767511E7       |\n",
      "+-------+-----------------+\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------+-------------------+\n",
      "|summary|cakeweek           |\n",
      "+-------+-------------------+\n",
      "|count  |20051              |\n",
      "|mean   |0.10463318537728791|\n",
      "|stddev |10.441874454500253 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1188.0             |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+------------------+\n",
      "|summary|wasteless         |\n",
      "+-------+------------------+\n",
      "|count  |20051             |\n",
      "|mean   |0.0718168669891776|\n",
      "|stddev |10.162319977115633|\n",
      "|min    |0.0               |\n",
      "|25%    |0.0               |\n",
      "|50%    |0.0               |\n",
      "|75%    |0.0               |\n",
      "|max    |1439.0            |\n",
      "+-------+------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|22_minute_meals     |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |8.477957310991422E-4|\n",
      "|stddev |0.02910531256692734 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|3_ingredient_recipes |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0013464991023339318|\n",
      "|stddev |0.036670875443491666 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|30_days_of_groceries|\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |3.490923598643527E-4|\n",
      "|stddev |0.018681217801117492|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|advance_prep_required|\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.005435866746459206 |\n",
      "|stddev |0.07352950242947795  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|alabama              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.01223094797319777  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|alaska              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.009986776251515592|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|alcoholic          |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.04164173149810493|\n",
      "|stddev |0.19977409242827252|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|almond             |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.02912427688011171|\n",
      "|stddev |0.16815904252511724|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|amaretto             |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0019449431478156792|\n",
      "|stddev |0.04405969989816332  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|anchovy             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.002244165170556553|\n",
      "|stddev |0.04732061458736233 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|anise               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005784959106323559|\n",
      "|stddev |0.0758404918079995  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|anniversary         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005535607420706164|\n",
      "|stddev |0.07419729792462679 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|anthony_bourdain    |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.009986776251515592|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|aperitif            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |5.984440454817474E-4|\n",
      "|stddev |0.024456404855164014|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|appetizer          |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.06842210253341313|\n",
      "|stddev |0.2524751420199541 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|apple              |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.03321364452423698|\n",
      "|stddev |0.17919849269147473|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|apple_juice         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |2.992220227408737E-4|\n",
      "|stddev |0.01729587833861127 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|apricot             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.013415120686215838|\n",
      "|stddev |0.11504701342390908 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|arizona              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |3.9896269698783165E-4|\n",
      "|stddev |0.019970563717942796 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|artichoke          |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.00763016157989228|\n",
      "|stddev |0.08701907749626317|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|arugula             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.013863953720327149|\n",
      "|stddev |0.11692915101068448 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|asian_pear         |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |9.97406742469579E-4|\n",
      "|stddev |0.03156678026242751|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|asparagus           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.010323159784560144|\n",
      "|stddev |0.1010796798913023  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|aspen                |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117262 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|atlanta             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |3.490923598643527E-4|\n",
      "|stddev |0.01868121780111749 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|australia           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |3.490923598643527E-4|\n",
      "|stddev |0.01868121780111749 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|avocado             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.013614602034709754|\n",
      "|stddev |0.11588750752563858 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|back_to_school      |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.010073808098942748|\n",
      "|stddev |0.09986402674344388 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|backyard_bbq       |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.04677837622182326|\n",
      "|stddev |0.21116908764559963|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|bacon               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.029273887891482147|\n",
      "|stddev |0.16857741429866974 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|bake               |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.22007779772591263|\n",
      "|stddev |0.4143092094356199 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|banana              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.008827049670855775|\n",
      "|stddev |0.09353913196587915 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|barley               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0024935168561739476|\n",
      "|stddev |0.049874074211952966 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|basil              |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.02817674047476561|\n",
      "|stddev |0.16548165284750918|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|bass                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004488330341113106|\n",
      "|stddev |0.06684615226682197 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|bastille_day         |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0014961101137043686|\n",
      "|stddev |0.03865160115488441  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|bean                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.028775184520247358|\n",
      "|stddev |0.16717824942418644 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|beef               |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.04044484340714143|\n",
      "|stddev |0.19700505974783106|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|beef_rib             |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0027927388789148215|\n",
      "|stddev |0.05277384182781096  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|beef_shank          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |6.981847197287054E-4|\n",
      "|stddev |0.026414618186878933|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|beef_tenderloin     |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.003590664272890485|\n",
      "|stddev |0.0598159664014085  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|beer                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005585477757829643|\n",
      "|stddev |0.07452890180115866 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|beet                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.010422900458807102|\n",
      "|stddev |0.10156169556623908 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|bell_pepper         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.038300418910831836|\n",
      "|stddev |0.19192533395203962 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|berry               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.023189706762417713|\n",
      "|stddev |0.15050938169804237 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|beverly_hills        |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117264 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|birthday            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.009624975064831438|\n",
      "|stddev |0.09763611178399835 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|biscuit             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |3.490923598643527E-4|\n",
      "|stddev |0.01868121780111749 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|bitters             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.006333532814681827|\n",
      "|stddev |0.07933305141840954 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|blackberry         |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.00718132854578097|\n",
      "|stddev |0.08443999435824218|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|blender             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.030769998005186514|\n",
      "|stddev |0.17269827038920127 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|blue_cheese         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.011769399561141033|\n",
      "|stddev |0.10784925062319893 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|blueberry           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.008976660682226212|\n",
      "|stddev |0.09432138632287695 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|boil                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.022192300019948135|\n",
      "|stddev |0.1473121993257083  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|bok_choy            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.002942349890285258|\n",
      "|stddev |0.05416492203388987 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|bon_appétit        |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.4664871334530221 |\n",
      "|stddev |0.49888806356646803|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |1.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|bon_apptit          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |4.987033712347895E-4|\n",
      "|stddev |0.022326655045579395|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|boston              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |2.992220227408737E-4|\n",
      "|stddev |0.017295878338611268|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|bourbon            |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.00623379214043487|\n",
      "|stddev |0.0787098528440925 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|braise              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.016457211250748054|\n",
      "|stddev |0.1272288438549042  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|bran                 |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.01223094797319777  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|brandy              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.013464991023339317|\n",
      "|stddev |0.11525774392625754 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|bread              |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.024885298224616  |\n",
      "|stddev |0.15577942859006644|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|breadcrumbs          |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0027428685417913426|\n",
      "|stddev |0.05230183202666083  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|breakfast          |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.03550768003191702|\n",
      "|stddev |0.18506375301374106|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|brie                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |5.984440454817474E-4|\n",
      "|stddev |0.024456404855164014|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|brine                |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0017953321364452424|\n",
      "|stddev |0.04233436306947736  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|brisket              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0018950728106922003|\n",
      "|stddev |0.043492250381641256 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|broccoli            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.006084181129064433|\n",
      "|stddev |0.0777654515719822  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|broccoli_rabe        |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0023937761819269898|\n",
      "|stddev |0.0488688563004832   |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|broil              |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.02438659485338121|\n",
      "|stddev |0.15425004185908778|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|brooklyn            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |3.490923598643527E-4|\n",
      "|stddev |0.01868121780111749 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|brown_rice          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001147017753840016|\n",
      "|stddev |0.03384906562243822 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|brownie              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.012230947973197766 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|brunch             |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.04154199082385797|\n",
      "|stddev |0.19954508155121126|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|brussel_sprout       |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0027927388789148215|\n",
      "|stddev |0.05277384182781097  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|buffalo              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |3.9896269698783165E-4|\n",
      "|stddev |0.0199705637179428   |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|buffet              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.006582884500299222|\n",
      "|stddev |0.08086950153048836 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|bulgaria             |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117262 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|bulgur               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0014961101137043686|\n",
      "|stddev |0.03865160115488441  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|burrito              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117261 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|butter              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.009724715739078396|\n",
      "|stddev |0.09813575253410008 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|buttermilk           |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0036405346100139638|\n",
      "|stddev |0.0602284153910853   |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|butternut_squash   |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.00907640135647317|\n",
      "|stddev |0.09483917361556501|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|butterscotch_caramel|\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |5.984440454817474E-4|\n",
      "|stddev |0.024456404855164003|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cabbage             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.015310193496908039|\n",
      "|stddev |0.12278657640106479 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|cake               |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.03590664272890485|\n",
      "|stddev |0.1860620385842957 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|california           |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0072810692200279276|\n",
      "|stddev |0.08502009018208956  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|calvados            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.97406742469579E-4 |\n",
      "|stddev |0.031566780262427506|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|cambridge            |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.9948134849391582E-4|\n",
      "|stddev |0.014122729991017435 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|campari             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.475364053461001E-4|\n",
      "|stddev |0.03076825948353633 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|camping              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117265 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|canada              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |4.488330341113106E-4|\n",
      "|stddev |0.02118145314993557 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|candy                |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0037402752842609216|\n",
      "|stddev |0.06104483160306965  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|candy_thermometer   |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.003291442250149611|\n",
      "|stddev |0.05727802607704576 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|cantaloupe           |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0025433871932974265|\n",
      "|stddev |0.05036908673151388  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|capers              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.009226012367843607|\n",
      "|stddev |0.09561040187022381 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|caraway              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0014462397765808896|\n",
      "|stddev |0.038002897137419965 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cardamom            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.002194294833433074|\n",
      "|stddev |0.04679304541450129 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|carrot              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.034959106323558746|\n",
      "|stddev |0.18368083668813898 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cashew              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.003391182924396569|\n",
      "|stddev |0.05813648903310601 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|casserole_gratin    |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.009924197087572311|\n",
      "|stddev |0.09912717808713252 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cauliflower         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005984440454817474|\n",
      "|stddev |0.07712926553576    |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|caviar               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117264 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|celery              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.017005784959106325|\n",
      "|stddev |0.1292958697735507  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|chambord            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |7.480550568521843E-4|\n",
      "|stddev |0.027341045155486746|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|champagne            |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0052862557350887695|\n",
      "|stddev |0.07251602224491052  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|chard                |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0042389786554957115|\n",
      "|stddev |0.06497091833374269  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|chartreuse          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |8.976660682226212E-4|\n",
      "|stddev |0.02994837212282067 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cheddar             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.012816676640734092|\n",
      "|stddev |0.1124857344378119  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|cheese             |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.06757430680231398|\n",
      "|stddev |0.25102024271043305|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cherry              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.012168362258128866|\n",
      "|stddev |0.10963983174036475 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|chestnut             |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0036904049471374427|\n",
      "|stddev |0.06063801802630664  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|chicago              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.9948134849391582E-4|\n",
      "|stddev |0.01412272999101743  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|chicken            |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.06702573309395571|\n",
      "|stddev |0.25007279521905035|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|chickpea           |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.00807899461400359|\n",
      "|stddev |0.08952164055189374|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|chile               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |6.483143826052265E-4|\n",
      "|stddev |0.02545439811454405 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|chile_pepper        |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.011819269898264512|\n",
      "|stddev |0.10807477620016727 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|chili                |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.012230947973197773 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|chill               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.056153999601037306|\n",
      "|stddev |0.2302246103826342  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|chive               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.012517454617993218|\n",
      "|stddev |0.11118176295727535 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|chocolate           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.042639138240574505|\n",
      "|stddev |0.20204721723235272 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|christmas          |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.05181528027129463|\n",
      "|stddev |0.22165943985391542|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|christmas_eve       |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.016507081587871533|\n",
      "|stddev |0.1274182385318867  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cilantro            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.030271294633951725|\n",
      "|stddev |0.17133711614553468 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cinco_de_mayo       |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.008926790345102733|\n",
      "|stddev |0.09406138415544804 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cinnamon            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.023139836425294234|\n",
      "|stddev |0.15035129444070705 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|citrus              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.043038100937562336|\n",
      "|stddev |0.2029479658891778  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|clam                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.006632754837422701|\n",
      "|stddev |0.08117320987141649 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|clove               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.009624975064831438|\n",
      "|stddev |0.09763611178399835 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cobbler_crumble     |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |3.490923598643527E-4|\n",
      "|stddev |0.018681217801117485|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cocktail            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.018950728106922003|\n",
      "|stddev |0.13635441036739718 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cocktail_party      |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.057550369040494716|\n",
      "|stddev |0.23289703536585402 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|coconut            |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.01820267305006982|\n",
      "|stddev |0.1336870488786764 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|cod                  |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0037901456213844005|\n",
      "|stddev |0.06144891151506633  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|coffee              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.009475364053461001|\n",
      "|stddev |0.09688162681837015 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|coffee_grinder      |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |8.477957310991422E-4|\n",
      "|stddev |0.02910531256692734 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cognac_armagnac     |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004538200678236585|\n",
      "|stddev |0.0672148102621858  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|collard_greens       |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0015459804508278477|\n",
      "|stddev |0.039289532683477894 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|colorado            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |7.979253939756633E-4|\n",
      "|stddev |0.028237005366734853|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|columbus             |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.012230947973197773 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|condiment           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004737682026730501|\n",
      "|stddev |0.06866929122905219 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|condiment_spread    |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.046130061839218035|\n",
      "|stddev |0.20977195651920283 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|connecticut         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |5.485737083582685E-4|\n",
      "|stddev |0.02341580917150961 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|cook_like_a_diner    |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.9948134849391582E-4|\n",
      "|stddev |0.014122729991017437 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|cookbook_critic      |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.01223094797319777  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|cookie               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0034410532615200477|\n",
      "|stddev |0.05856093782103932  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cookies             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.013614602034709754|\n",
      "|stddev |0.11588750752563856 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|coriander           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.006533014163175743|\n",
      "|stddev |0.08056461742229756 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|corn                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.018501895072810692|\n",
      "|stddev |0.13476082747154788 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cornmeal            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.013514861360462796|\n",
      "|stddev |0.11546806830388766 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|costa_mesa           |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117264 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|cottage_cheese       |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0018452024735687213|\n",
      "|stddev |0.04291724079030958  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|couscous            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004637941352483543|\n",
      "|stddev |0.06794601597547319 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|crab                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.007779772591262717|\n",
      "|stddev |0.08786144040690824 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cranberry           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.018452024735687213|\n",
      "|stddev |0.134582505523073   |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|cranberry_sauce      |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.9948134849391582E-4|\n",
      "|stddev |0.014122729991017434 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cream_cheese        |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.018701376421304608|\n",
      "|stddev |0.13547158443422108 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|créme_de_cacao      |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001047277079593058|\n",
      "|stddev |0.03234551694249792 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|crêpe                |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117261 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|crme_de_cacao        |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117265 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|cuba                 |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.012230947973197773 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cucumber            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.018850987432675045|\n",
      "|stddev |0.13600202253892776 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|cumin               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004637941352483543|\n",
      "|stddev |0.06794601597547316 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|cupcake              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.9948134849391582E-4|\n",
      "|stddev |0.014122729991017435 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|currant             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005385996409335727|\n",
      "|stddev |0.07319326895356097 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|curry               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.013614602034709754|\n",
      "|stddev |0.11588750752563858 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|custard             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.009986776251515594|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|dairy              |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.07460602433672452|\n",
      "|stddev |0.26276112476441404|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|dairy_free         |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.15988430081787353|\n",
      "|stddev |0.3665078582418182 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|dallas               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |2.4935168561739476E-4|\n",
      "|stddev |0.015789298341793847 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|date                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.006134051466187912|\n",
      "|stddev |0.07808155303735252 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|deep_fry            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004588071015360064|\n",
      "|stddev |0.06758142044922559 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|denver               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.012230947973197768 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|dessert            |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.17818671454219032|\n",
      "|stddev |0.38267938602724316|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|digestif             |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |2.4935168561739476E-4|\n",
      "|stddev |0.015789298341793843 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|dill                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.013514861360462796|\n",
      "|stddev |0.11546806830388764 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+------------------+\n",
      "|summary|dinner            |\n",
      "+-------+------------------+\n",
      "|count  |20052             |\n",
      "|mean   |0.1348493915818871|\n",
      "|stddev |0.3415711515725283|\n",
      "|min    |0.0               |\n",
      "|25%    |0.0               |\n",
      "|50%    |0.0               |\n",
      "|75%    |0.0               |\n",
      "|max    |1.0               |\n",
      "+-------+------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|dip                 |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001047277079593058|\n",
      "|stddev |0.03234551694249793 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|diwali               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0012467584280869738|\n",
      "|stddev |0.03528832842952962  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|dominican_republic  |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.009986776251515594|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|dorie_greenspan      |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.0070618933101172605|\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|double_boiler        |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0015958507879513266|\n",
      "|stddev |0.0399172082038157   |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|dried_fruit         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.010273289447436666|\n",
      "|stddev |0.10083777102714939 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|drink               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.054209056453221625|\n",
      "|stddev |0.22643540282617497 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|drinks              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |5.485737083582685E-4|\n",
      "|stddev |0.023415809171509618|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|duck                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004937163375224416|\n",
      "|stddev |0.0700930296651042  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|easter              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.011669658886894075|\n",
      "|stddev |0.10739670923951478 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|eau_de_vie          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |4.488330341113106E-4|\n",
      "|stddev |0.021181453149935567|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|edible_gift         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005984440454817474|\n",
      "|stddev |0.07712926553576002 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|egg                |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.0881707560343108 |\n",
      "|stddev |0.28355014269761203|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|egg_nog             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |4.488330341113106E-4|\n",
      "|stddev |0.021181453149935574|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|eggplant            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.010921603830041891|\n",
      "|stddev |0.1039368132191312  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|egypt                |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117264 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|emeril_lagasse       |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117264 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|endive              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005585477757829643|\n",
      "|stddev |0.07452890180115866 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|engagement_party    |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.009126271693596649|\n",
      "|stddev |0.09509697081225323 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|england             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.00998677625151559 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|entertaining         |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |3.9896269698783165E-4|\n",
      "|stddev |0.0199705637179428   |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|epi__ushg           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.009986776251515592|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-----------------------+\n",
      "|summary|epi_loves_the_microwave|\n",
      "+-------+-----------------------+\n",
      "|count  |20052                  |\n",
      "|mean   |9.974067424695791E-5   |\n",
      "|stddev |0.009986776251515592   |\n",
      "|min    |0.0                    |\n",
      "|25%    |0.0                    |\n",
      "|50%    |0.0                    |\n",
      "|75%    |0.0                    |\n",
      "|max    |1.0                    |\n",
      "+-------+-----------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|escarole             |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0021444244963095952|\n",
      "|stddev |0.046259406168392955 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|fall               |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.15035906642728905|\n",
      "|stddev |0.35743193601639867|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|family_reunion     |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.01575902653101935|\n",
      "|stddev |0.12454498454459384|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|fat_free            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.018751246758428087|\n",
      "|stddev |0.1356486459398729  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|fathers_day         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.014711749451426292|\n",
      "|stddev |0.120399488378261   |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|fennel              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.018501895072810692|\n",
      "|stddev |0.13476082747154788 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|feta               |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.01142030720127668|\n",
      "|stddev |0.10625651435604076|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|fig                 |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.007680031917015759|\n",
      "|stddev |0.08730079673180799 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|fish               |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.0466786355475763 |\n",
      "|stddev |0.21095487635684945|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|flaming_hot_summer  |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |5.984440454817474E-4|\n",
      "|stddev |0.02445640485516401 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|flat_bread           |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.9948134849391582E-4|\n",
      "|stddev |0.014122729991017435 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|florida              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0021444244963095952|\n",
      "|stddev |0.046259406168392955 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|fontina             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001994813484939158|\n",
      "|stddev |0.04461987777464134 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|food_processor     |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.04847396768402154|\n",
      "|stddev |0.21477090698512716|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|fortified_wine       |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0037901456213844005|\n",
      "|stddev |0.061448911515066366 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|fourth_of_july      |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.018751246758428087|\n",
      "|stddev |0.1356486459398729  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|france              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |6.981847197287054E-4|\n",
      "|stddev |0.026414618186878933|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|frangelico          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001147017753840016|\n",
      "|stddev |0.033849065622438196|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|frankenrecipe        |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117266 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|freeze_chill        |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.020795930580490726|\n",
      "|stddev |0.14270415353113383 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|freezer_food         |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.012230947973197768 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|friendsgiving       |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |4.488330341113106E-4|\n",
      "|stddev |0.021181453149935574|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|frittata            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.009986776251515589|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|fritter              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117264 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|frozen_dessert     |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.01765409934171155|\n",
      "|stddev |0.13169395215504193|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|fruit              |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.09764612008777179|\n",
      "|stddev |0.29684297142044436|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|fruit_juice        |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.02433672451625773|\n",
      "|stddev |0.15409617957229968|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|fry                |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.02144424496309595|\n",
      "|stddev |0.1448635077299328 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|game                 |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0017953321364452424|\n",
      "|stddev |0.042334363069477354 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|garlic             |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.08193696389387592|\n",
      "|stddev |0.27427549916105504|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|georgia             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.97406742469579E-4 |\n",
      "|stddev |0.031566780262427506|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|germany              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117264 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|gin                 |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.011270696189906244|\n",
      "|stddev |0.10556620369927677 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|ginger              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.057151406343506884|\n",
      "|stddev |0.23213748189325809 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|goat_cheese         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.015310193496908039|\n",
      "|stddev |0.1227865764010648  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|goose               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |7.979253939756633E-4|\n",
      "|stddev |0.028237005366734853|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|gouda               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |4.987033712347895E-4|\n",
      "|stddev |0.022326655045579392|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|gourmet            |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.3314881308597646 |\n",
      "|stddev |0.47075981345453605|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |1.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|graduation          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004438460003989627|\n",
      "|stddev |0.06647541239306107 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|grains              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |4.987033712347895E-4|\n",
      "|stddev |0.022326655045579392|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|grand_marnier        |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117265 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|granola              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |2.4935168561739476E-4|\n",
      "|stddev |0.015789298341793847 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|grape                |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0034909235986435266|\n",
      "|stddev |0.058982290100619936 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|grapefruit          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005984440454817474|\n",
      "|stddev |0.07712926553576001 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|grappa               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.9948134849391582E-4|\n",
      "|stddev |0.014122729991017435 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|green_bean          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.011270696189906244|\n",
      "|stddev |0.10556620369927676 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|green_onion_scallion|\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005784959106323559|\n",
      "|stddev |0.07584049180799952 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|grill               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.028126870137642132|\n",
      "|stddev |0.16533938618769856 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|grill_barbecue     |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.05505685218432076|\n",
      "|stddev |0.22809688703540784|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|ground_beef         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004488330341113106|\n",
      "|stddev |0.06684615226682197 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|ground_lamb          |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0017454617993217633|\n",
      "|stddev |0.041743287623211014 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|guam                 |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117264 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|guava               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001047277079593058|\n",
      "|stddev |0.032345516942497925|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|haiti                |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117263 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|halibut             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004438460003989627|\n",
      "|stddev |0.06647541239306105 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|halloween           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.002094554159186116|\n",
      "|stddev |0.045719484299278794|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|ham                 |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.011071214841412328|\n",
      "|stddev |0.10463837289970837 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|hamburger            |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.9948134849391582E-4|\n",
      "|stddev |0.014122729991017442 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|hanukkah            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005884699780570516|\n",
      "|stddev |0.07648765814548612 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|harpercollins       |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.006034310791940953|\n",
      "|stddev |0.07744802784651528 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|hawaii               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.9948134849391582E-4|\n",
      "|stddev |0.01412272999101743  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|hazelnut           |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.00907640135647317|\n",
      "|stddev |0.09483917361556501|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|healdsburg          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.00998677625151559 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|healthy            |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.11719529224017554|\n",
      "|stddev |0.32166087046302727|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|herb               |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.08383203670456812|\n",
      "|stddev |0.2771426650124751 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|high_fiber         |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.05051865150608418|\n",
      "|stddev |0.21901805766142504|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|hollywood            |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117266 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|hominy_cornmeal_masa |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0042389786554957115|\n",
      "|stddev |0.06497091833374269  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|honey              |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.01999800518651506|\n",
      "|stddev |0.1399966513418222 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------+--------------------+\n",
      "|summary|honeydew            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001994813484939158|\n",
      "|stddev |0.04461987777464134 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|hors_doeuvre        |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |8.477957310991422E-4|\n",
      "|stddev |0.02910531256692735 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|horseradish         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.008278475962497506|\n",
      "|stddev |0.09061099409713222 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|hot_drink            |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0018452024735687213|\n",
      "|stddev |0.042917240790309584 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|hot_pepper          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.024286854179134253|\n",
      "|stddev |0.15394214734658407 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|house_and_garden   |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.02289048473967684|\n",
      "|stddev |0.14955810218475354|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|house_cocktail      |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |2.992220227408737E-4|\n",
      "|stddev |0.017295878338611268|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|houston              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117263 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|hummus              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.009986776251515596|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|ice_cream           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |5.984440454817474E-4|\n",
      "|stddev |0.02445640485516402 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|ice_cream_machine  |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.00807899461400359|\n",
      "|stddev |0.0895216405518937 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|iced_coffee         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.009986776251515592|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|iced_tea            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |8.976660682226212E-4|\n",
      "|stddev |0.029948372122820668|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|idaho                |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117262 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|illinois             |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |3.9896269698783165E-4|\n",
      "|stddev |0.019970563717942792 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|indiana              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |2.4935168561739476E-4|\n",
      "|stddev |0.015789298341793854 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|iowa                 |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.0070618933101172605|\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|ireland             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |6.981847197287054E-4|\n",
      "|stddev |0.02641461818687894 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|israel              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.009986776251515594|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|italy               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |2.992220227408737E-4|\n",
      "|stddev |0.017295878338611265|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|jalapeño            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.018003191701575903|\n",
      "|stddev |0.13296600503746336 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|jam_or_jelly        |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.007929383602633153|\n",
      "|stddev |0.08869555120360109 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|jamaica              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117263 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|japan               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.009986776251515592|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|jerusalem_artichoke |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.475364053461001E-4|\n",
      "|stddev |0.030768259483536328|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|juicer              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |2.992220227408737E-4|\n",
      "|stddev |0.017295878338611268|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|jícama               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0017953321364452424|\n",
      "|stddev |0.042334363069477354 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|kahlúa               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0012467584280869738|\n",
      "|stddev |0.03528832842952962  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|kale                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.007231198882904449|\n",
      "|stddev |0.08473055339173624 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|kansas               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.012230947973197773 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|kansas_city         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.00998677625151559 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|kentucky             |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.012230947973197773 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|kentucky_derby      |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001994813484939158|\n",
      "|stddev |0.04461987777464133 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|kid_friendly       |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.08931777378815081|\n",
      "|stddev |0.28520898606924655|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|kidney_friendly    |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.11535008976660682|\n",
      "|stddev |0.3194519303466428 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|kirsch               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0015459804508278477|\n",
      "|stddev |0.0392895326834779   |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|kitchen_olympics     |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117265 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|kiwi                 |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0016955914621982844|\n",
      "|stddev |0.04114366114410328  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|kosher             |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.30794933173748257|\n",
      "|stddev |0.46165698255708854|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |1.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|kosher_for_passover  |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0015459804508278477|\n",
      "|stddev |0.03928953268347789  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|kumquat              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0021444244963095952|\n",
      "|stddev |0.046259406168392955 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|kwanzaa             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |6.483143826052265E-4|\n",
      "|stddev |0.025454398114544054|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|labor_day           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |4.488330341113106E-4|\n",
      "|stddev |0.021181453149935574|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|lamb                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.017903451027328945|\n",
      "|stddev |0.13260390031365799 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|lamb_chop           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.002244165170556553|\n",
      "|stddev |0.04732061458736233 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|lamb_shank          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |8.976660682226212E-4|\n",
      "|stddev |0.029948372122820664|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|lancaster            |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.9948134849391582E-4|\n",
      "|stddev |0.014122729991017435 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|las_vegas            |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117263 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|lasagna              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.01223094797319777  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|leafy_green        |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.04498304408537802|\n",
      "|stddev |0.20727207324014738|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|leek                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.013265509674845402|\n",
      "|stddev |0.11441236270629793 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|legume               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0034909235986435266|\n",
      "|stddev |0.058982290100619936 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|lemon              |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.05505685218432076|\n",
      "|stddev |0.2280968870354079 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|lemon_juice         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.007680031917015759|\n",
      "|stddev |0.087300796731808   |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|lemongrass          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004139237981248753|\n",
      "|stddev |0.06420521996836624 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|lentil              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004887293038100937|\n",
      "|stddev |0.06973987350665085 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|lettuce             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.011270696189906244|\n",
      "|stddev |0.10556620369927677 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|lima_bean            |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0027428685417913426|\n",
      "|stddev |0.052301832026660826 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|lime                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.027229204069419508|\n",
      "|stddev |0.162754709717691   |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|lime_juice          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.006632754837422701|\n",
      "|stddev |0.08117320987141649 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|lingonberry          |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |2.4935168561739476E-4|\n",
      "|stddev |0.015789298341793847 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|liqueur             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.015808896868142828|\n",
      "|stddev |0.1247387334311761  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|lobster             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004139237981248753|\n",
      "|stddev |0.06420521996836623 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|london               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117264 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|long_beach          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.00998677625151559 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|los_angeles         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001047277079593058|\n",
      "|stddev |0.03234551694249792 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|louisiana            |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.9948134849391582E-4|\n",
      "|stddev |0.014122729991017437 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|louisville          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.009986776251515594|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|low_cal             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.052264113305405945|\n",
      "|stddev |0.222564700919202   |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|low_carb           |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.01810293237582286|\n",
      "|stddev |0.13332705170164988|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|low_cholesterol     |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.022192300019948135|\n",
      "|stddev |0.1473121993257083  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|low_fat            |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.04632954318771195|\n",
      "|stddev |0.210203045060108  |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|low_sodium         |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.01944943147815679|\n",
      "|stddev |0.13810178212282753|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|low_sugar           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |6.981847197287054E-4|\n",
      "|stddev |0.026414618186878937|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|low_no_sugar        |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.014063435068821066|\n",
      "|stddev |0.11775545160312063 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|lunar_new_year      |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.002294035507680032|\n",
      "|stddev |0.04784231449604705 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+------------------+\n",
      "|summary|lunch             |\n",
      "+-------+------------------+\n",
      "|count  |20052             |\n",
      "|mean   |0.0677737881508079|\n",
      "|stddev |0.2513635868230762|\n",
      "|min    |0.0               |\n",
      "|25%    |0.0               |\n",
      "|50%    |0.0               |\n",
      "|75%    |0.0               |\n",
      "|max    |1.0               |\n",
      "+-------+------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|lychee               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |3.9896269698783165E-4|\n",
      "|stddev |0.0199705637179428   |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|macadamia_nut        |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0024935168561739476|\n",
      "|stddev |0.04987407421195297  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|macaroni_and_cheese  |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.01223094797319777  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|maine                |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |2.4935168561739476E-4|\n",
      "|stddev |0.015789298341793847 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|mandoline           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |4.987033712347895E-4|\n",
      "|stddev |0.022326655045579392|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|mango               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.012168362258128866|\n",
      "|stddev |0.10963983174036475 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|maple_syrup          |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0072810692200279276|\n",
      "|stddev |0.08502009018208959  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|mardi_gras          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.002942349890285258|\n",
      "|stddev |0.05416492203388988 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|margarita           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.97406742469579E-4 |\n",
      "|stddev |0.031566780262427506|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|marinade             |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117262 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|marinate           |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.02997207261121085|\n",
      "|stddev |0.17051450807628843|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|marsala              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0017953321364452424|\n",
      "|stddev |0.042334363069477354 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|marscarpone         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |2.992220227408737E-4|\n",
      "|stddev |0.017295878338611265|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|marshmallow         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |4.488330341113106E-4|\n",
      "|stddev |0.021181453149935574|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|martini             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |3.490923598643527E-4|\n",
      "|stddev |0.01868121780111749 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|maryland            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |5.984440454817474E-4|\n",
      "|stddev |0.024456404855164014|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|massachusetts       |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.002343905844803511|\n",
      "|stddev |0.0483583350975045  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|mayonnaise          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.018850987432675045|\n",
      "|stddev |0.13600202253892774 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|meat                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.014213046080191503|\n",
      "|stddev |0.11837117119983512 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|meatball             |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |3.9896269698783165E-4|\n",
      "|stddev |0.019970563717942796 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|meatloaf            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.00998677625151559 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|melon                |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0030919609016556954|\n",
      "|stddev |0.0555207565462308   |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|mexico               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |2.4935168561739476E-4|\n",
      "|stddev |0.015789298341793847 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|mezcal               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117267 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|miami               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.009986776251515594|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|michigan             |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0011968880909634949|\n",
      "|stddev |0.03457622261910341  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|microwave            |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0018452024735687213|\n",
      "|stddev |0.042917240790309584 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|midori              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |2.992220227408737E-4|\n",
      "|stddev |0.01729587833861127 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|milk_cream         |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.09944145222421703|\n",
      "|stddev |0.29926128392643686|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|minneapolis         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.00998677625151559 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|minnesota           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |5.984440454817474E-4|\n",
      "|stddev |0.024456404855164007|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|mint                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.030670257330939556|\n",
      "|stddev |0.17242701454512274 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|mississippi          |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117261 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|missouri            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |7.480550568521843E-4|\n",
      "|stddev |0.027341045155486746|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|mixer              |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.03141831238779174|\n",
      "|stddev |0.17444976275273957|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|molasses            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005585477757829643|\n",
      "|stddev |0.07452890180115869 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|monterey_jack        |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0024935168561739476|\n",
      "|stddev |0.049874074211952966 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|mortar_and_pestle   |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.009986776251515592|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|mothers_day         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.008228605625374027|\n",
      "|stddev |0.09033992850203171 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|mozzarella          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.009475364053461001|\n",
      "|stddev |0.09688162681837018 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|muffin               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |2.4935168561739476E-4|\n",
      "|stddev |0.01578929834179385  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|mushroom           |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.04204069419509276|\n",
      "|stddev |0.20068702690661613|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|mussel               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0062836624775583485|\n",
      "|stddev |0.07902208221897165  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|mustard             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.029922202274087373|\n",
      "|stddev |0.17037696950247827 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|mustard_greens       |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0018452024735687213|\n",
      "|stddev |0.04291724079030959  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|nancy_silverton      |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117262 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|nebraska             |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.012230947973197766 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|nectarine           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.002992220227408737|\n",
      "|stddev |0.05462065204171994 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|new_hampshire        |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117262 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|new_jersey           |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0012467584280869738|\n",
      "|stddev |0.03528832842952962  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|new_mexico          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |7.480550568521843E-4|\n",
      "|stddev |0.027341045155486746|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|new_orleans         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.009986776251515594|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|new_years_day       |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004089367644125274|\n",
      "|stddev |0.06381886735669025 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|new_years_eve       |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.008228605625374027|\n",
      "|stddev |0.09033992850203168 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|new_york             |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0024436465190504687|\n",
      "|stddev |0.049374048694459896 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|no_meat_no_problem  |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |2.992220227408737E-4|\n",
      "|stddev |0.01729587833861127 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+------------------+\n",
      "|summary|no_sugar_added    |\n",
      "+-------+------------------+\n",
      "|count  |20052             |\n",
      "|mean   |0.1561938958707361|\n",
      "|stddev |0.3630481178441417|\n",
      "|min    |0.0               |\n",
      "|25%    |0.0               |\n",
      "|50%    |0.0               |\n",
      "|75%    |0.0               |\n",
      "|max    |1.0               |\n",
      "+-------+------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|no_cook            |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.06238779174147217|\n",
      "|stddev |0.24186457475546264|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|non_alcoholic       |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.010871733492918412|\n",
      "|stddev |0.10370185732730973 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|noodle             |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.00807899461400359|\n",
      "|stddev |0.08952164055189368|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|north_carolina      |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |8.477957310991422E-4|\n",
      "|stddev |0.029105312566927343|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|nut                 |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.045082784759624975|\n",
      "|stddev |0.20749090177487442 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|nutmeg              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005435866746459206|\n",
      "|stddev |0.07352950242947795 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|oat                  |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0068322361859166165|\n",
      "|stddev |0.08237654489898967  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|oatmeal             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |5.984440454817474E-4|\n",
      "|stddev |0.024456404855164007|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|octopus             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |3.490923598643527E-4|\n",
      "|stddev |0.01868121780111749 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|ohio                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |6.483143826052265E-4|\n",
      "|stddev |0.025454398114544054|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|oklahoma             |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.9948134849391582E-4|\n",
      "|stddev |0.014122729991017434 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|okra                 |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0013464991023339318|\n",
      "|stddev |0.03667087544349166  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|oktoberfest          |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0018452024735687213|\n",
      "|stddev |0.04291724079030958  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|olive               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.027727907440654297|\n",
      "|stddev |0.16419627009955964 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|omelet              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.00998677625151559 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|one_pot_meal        |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |5.485737083582685E-4|\n",
      "|stddev |0.02341580917150962 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+------------------+\n",
      "|summary|onion             |\n",
      "+-------+------------------+\n",
      "|count  |20052             |\n",
      "|mean   |0.1116098144823459|\n",
      "|stddev |0.3148936468665117|\n",
      "|min    |0.0               |\n",
      "|25%    |0.0               |\n",
      "|50%    |0.0               |\n",
      "|75%    |0.0               |\n",
      "|max    |1.0               |\n",
      "+-------+------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|orange              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.041741472172351884|\n",
      "|stddev |0.2000027913365309  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|orange_juice        |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.002593257530420906|\n",
      "|stddev |0.05085923262776405 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|oregano             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005036904049471374|\n",
      "|stddev |0.07079395162303652 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|oregon              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.475364053461001E-4|\n",
      "|stddev |0.030768259483536335|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|organic             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |3.490923598643527E-4|\n",
      "|stddev |0.01868121780111749 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|orzo                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.009986776251515594|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|oscars              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005585477757829643|\n",
      "|stddev |0.07452890180115869 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|oyster               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0018950728106922003|\n",
      "|stddev |0.04349225038164126  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|pacific_palisades    |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117262 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|paleo              |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.03884899261919011|\n",
      "|stddev |0.19323977496979003|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|pan_fry            |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.01241771394374626|\n",
      "|stddev |0.11074351421303516|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|pancake              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |2.4935168561739476E-4|\n",
      "|stddev |0.015789298341793847 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|papaya               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0028924795531617793|\n",
      "|stddev |0.05370527864244791  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|paprika              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0027428685417913426|\n",
      "|stddev |0.05230183202666083  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|parade              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.007131458208657491|\n",
      "|stddev |0.08414840249238809 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|paris                |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.9948134849391582E-4|\n",
      "|stddev |0.014122729991017435 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|parmesan            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.032116497107520445|\n",
      "|stddev |0.17631386224341208 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|parsley             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.025633353281468183|\n",
      "|stddev |0.15804281103189463 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|parsnip             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.006981847197287053|\n",
      "|stddev |0.08326732120303347 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|party              |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.04448434071414323|\n",
      "|stddev |0.2061737228987092 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|pasadena            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |5.984440454817474E-4|\n",
      "|stddev |0.02445640485516401 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|passion_fruit       |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.002194294833433074|\n",
      "|stddev |0.04679304541450129 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|passover            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.009126271693596649|\n",
      "|stddev |0.09509697081225324 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|pasta               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.048274486335527625|\n",
      "|stddev |0.2143510010814405  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|pasta_maker         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |5.984440454817474E-4|\n",
      "|stddev |0.02445640485516401 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|pastry              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004937163375224416|\n",
      "|stddev |0.0700930296651042  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|pea                |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.01052264113305406|\n",
      "|stddev |0.10204133686038339|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|peach               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.009674845401954917|\n",
      "|stddev |0.09788626365348889 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|peanut             |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.00763016157989228|\n",
      "|stddev |0.08701907749626318|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|peanut_butter        |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0015958507879513266|\n",
      "|stddev |0.03991720820381571  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+------------------+\n",
      "|summary|peanut_free       |\n",
      "+-------+------------------+\n",
      "|count  |20052             |\n",
      "|mean   |0.4184121284659884|\n",
      "|stddev |0.4933108101817152|\n",
      "|min    |0.0               |\n",
      "|25%    |0.0               |\n",
      "|50%    |0.0               |\n",
      "|75%    |1.0               |\n",
      "|max    |1.0               |\n",
      "+-------+------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|pear                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.013913824057450628|\n",
      "|stddev |0.1171363044668347  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|pecan               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.016507081587871533|\n",
      "|stddev |0.12741823853188675 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|pennsylvania         |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0016955914621982844|\n",
      "|stddev |0.04114366114410329  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|pepper             |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.03052064631956912|\n",
      "|stddev |0.17201922032612832|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|pernod               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0026929982046678637|\n",
      "|stddev |0.0518254755026344   |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|persian_new_year     |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.9948134849391582E-4|\n",
      "|stddev |0.014122729991017435 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|persimmon           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |5.485737083582685E-4|\n",
      "|stddev |0.02341580917150961 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|peru                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.009986776251515592|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|pescatarian        |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.30131657690005986|\n",
      "|stddev |0.45884136349778654|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |1.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|philippines          |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |2.4935168561739476E-4|\n",
      "|stddev |0.015789298341793847 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+------------------------+\n",
      "|summary|phyllo_puff_pastry_dough|\n",
      "+-------+------------------------+\n",
      "|count  |20052                   |\n",
      "|mean   |0.0062836624775583485   |\n",
      "|stddev |0.07902208221897165     |\n",
      "|min    |0.0                     |\n",
      "|25%    |0.0                     |\n",
      "|50%    |0.0                     |\n",
      "|75%    |0.0                     |\n",
      "|max    |1.0                     |\n",
      "+-------+------------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|pickles             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |7.979253939756633E-4|\n",
      "|stddev |0.028237005366734853|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|picnic              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.025882704967085578|\n",
      "|stddev |0.1587893194888925  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|pie                 |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001047277079593058|\n",
      "|stddev |0.03234551694249792 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|pine_nut            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.011320566527029723|\n",
      "|stddev |0.10579683122711706 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|pineapple           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.013215639337721923|\n",
      "|stddev |0.11419998513761438 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|pistachio           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.008777179333732297|\n",
      "|stddev |0.09327686935812204 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|pittsburgh          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |5.984440454817474E-4|\n",
      "|stddev |0.02445640485516401 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|pizza               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |4.987033712347895E-4|\n",
      "|stddev |0.022326655045579385|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|plantain            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001047277079593058|\n",
      "|stddev |0.032345516942497925|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|plum                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005685218432076601|\n",
      "|stddev |0.07518762297999079 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|poach               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.006732495511669659|\n",
      "|stddev |0.08177715160031182 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|poblano             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |3.490923598643527E-4|\n",
      "|stddev |0.018681217801117485|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|poker_game_night    |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.006732495511669659|\n",
      "|stddev |0.08177715160031182 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|pomegranate          |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0038400159585078794|\n",
      "|stddev |0.06185031134098401  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|pomegranate_juice   |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |3.490923598643527E-4|\n",
      "|stddev |0.018681217801117495|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|poppy               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.97406742469579E-4 |\n",
      "|stddev |0.031566780262427506|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|pork               |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.04627967285058847|\n",
      "|stddev |0.210095373607806  |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|pork_chop           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004637941352483543|\n",
      "|stddev |0.06794601597547319 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|pork_rib             |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0028426092160383004|\n",
      "|stddev |0.05324162051289808  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|pork_tenderloin     |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005984440454817474|\n",
      "|stddev |0.07712926553576    |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|port                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005485737083582685|\n",
      "|stddev |0.07386417169775732 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|portland            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |7.480550568521843E-4|\n",
      "|stddev |0.027341045155486746|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|pot_pie             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.009986776251515592|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|potato              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.056253740275284264|\n",
      "|stddev |0.23041680644325976 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|potato_salad        |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.00998677625151559 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|potluck            |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.02418711350488729|\n",
      "|stddev |0.1536335710332478 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|poultry            |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.03091960901655695|\n",
      "|stddev |0.17310424940919197|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|poultry_sausage     |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001147017753840016|\n",
      "|stddev |0.03384906562243821 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|pressure_cooker      |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |3.9896269698783165E-4|\n",
      "|stddev |0.0199705637179428   |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|prosciutto          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.007729902254139238|\n",
      "|stddev |0.08758158138197285 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|providence           |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117267 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|prune               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005385996409335727|\n",
      "|stddev |0.07319326895356093 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|pumpkin             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005884699780570516|\n",
      "|stddev |0.07648765814548615 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|punch                |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0036405346100139638|\n",
      "|stddev |0.06022841539108531  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|purim               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |6.483143826052265E-4|\n",
      "|stddev |0.02545439811454405 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|quail               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |7.480550568521843E-4|\n",
      "|stddev |0.027341045155486753|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|quiche               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117266 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|quick_and_easy     |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.26790345102732893|\n",
      "|stddev |0.44287805722506984|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |1.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|quick_and_healthy   |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.003241571913026132|\n",
      "|stddev |0.05684386745157469 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|quince               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0015459804508278477|\n",
      "|stddev |0.0392895326834779   |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|quinoa               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0025433871932974265|\n",
      "|stddev |0.05036908673151388  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|rabbit              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |3.490923598643527E-4|\n",
      "|stddev |0.018681217801117485|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|rack_of_lamb         |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0014462397765808896|\n",
      "|stddev |0.03800289713741997  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|radicchio           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |8.976660682226212E-4|\n",
      "|stddev |0.02994837212282067 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|radish              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.010373030121683623|\n",
      "|stddev |0.10132098664039621 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|raisin              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.016955914621982846|\n",
      "|stddev |0.12910942212742263 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|ramadan              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0019449431478156792|\n",
      "|stddev |0.04405969989816332  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|ramekin              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0016955914621982844|\n",
      "|stddev |0.041143661144103276 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|raspberry           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.016955914621982846|\n",
      "|stddev |0.12910942212742263 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|raw                  |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0038400159585078794|\n",
      "|stddev |0.061850311340984    |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|red_wine            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.013564731697586275|\n",
      "|stddev |0.11567798877203331 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|rhode_island         |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |3.9896269698783165E-4|\n",
      "|stddev |0.0199705637179428   |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|rhubarb             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.003989626969878316|\n",
      "|stddev |0.06303894055782128 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|rice                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.026830241372431677|\n",
      "|stddev |0.1615910941812664  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|ricotta             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.007979253939756632|\n",
      "|stddev |0.08897179451333828 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|roast              |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.06582884500299221|\n",
      "|stddev |0.24798886087534447|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|root_vegetable      |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.009325753042090565|\n",
      "|stddev |0.09612098697219229 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|rosemary            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.018501895072810692|\n",
      "|stddev |0.13476082747154783 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+------------------------+\n",
      "|summary|rosh_hashanah_yom_kippur|\n",
      "+-------+------------------------+\n",
      "|count  |20052                   |\n",
      "|mean   |0.0034410532615200477   |\n",
      "|stddev |0.05856093782103931     |\n",
      "|min    |0.0                     |\n",
      "|25%    |0.0                     |\n",
      "|50%    |0.0                     |\n",
      "|75%    |0.0                     |\n",
      "|max    |1.0                     |\n",
      "+-------+------------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|rosé                 |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.9948134849391582E-4|\n",
      "|stddev |0.014122729991017437 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|rub                  |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.012230947973197768 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|rum                 |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.016507081587871533|\n",
      "|stddev |0.12741823853188675 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|rutabaga            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.002194294833433074|\n",
      "|stddev |0.046793045414501314|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|rye                 |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.475364053461001E-4|\n",
      "|stddev |0.03076825948353633 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|saffron             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005585477757829643|\n",
      "|stddev |0.07452890180115868 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|sage               |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.00907640135647317|\n",
      "|stddev |0.09483917361556501|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|sake                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001097147416716537|\n",
      "|stddev |0.03310586567467064 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|salad              |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.07555356074207062|\n",
      "|stddev |0.2642890530832861 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|salad_dressing      |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.008876920007979254|\n",
      "|stddev |0.09380063478601317 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|salmon             |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.01575902653101935|\n",
      "|stddev |0.1245449845445938 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|salsa               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |2.992220227408737E-4|\n",
      "|stddev |0.017295878338611265|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|san_francisco        |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |3.9896269698783165E-4|\n",
      "|stddev |0.0199705637179428   |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|sandwich            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.021344504288848994|\n",
      "|stddev |0.14453358853488335 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|sandwich_theory     |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |6.483143826052265E-4|\n",
      "|stddev |0.025454398114544058|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|sangria             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |8.477957310991422E-4|\n",
      "|stddev |0.029105312566927347|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|santa_monica        |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |4.987033712347895E-4|\n",
      "|stddev |0.02232665504557939 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|sardine              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.9948134849391582E-4|\n",
      "|stddev |0.014122729991017434 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|sauce              |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.05311190903650509|\n",
      "|stddev |0.2242622177517053 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|sausage             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.019150209455415918|\n",
      "|stddev |0.13705625019813641 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|sauté              |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.10193496908039099|\n",
      "|stddev |0.3025703169980936 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|scallop             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.008477957310991423|\n",
      "|stddev |0.0916869717345526  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|scotch              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001097147416716537|\n",
      "|stddev |0.03310586567467063 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|seafood            |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.01999800518651506|\n",
      "|stddev |0.1399966513418222 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|seattle             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |4.987033712347895E-4|\n",
      "|stddev |0.022326655045579395|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|seed                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.007480550568521843|\n",
      "|stddev |0.08616822045906788 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|self                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.015559545182525433|\n",
      "|stddev |0.12376675506984212 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|semolina            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |7.480550568521843E-4|\n",
      "|stddev |0.027341045155486743|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|sesame               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0073309395571514065|\n",
      "|stddev |0.08530861513775906  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|sesame_oil          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.002094554159186116|\n",
      "|stddev |0.045719484299278794|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|shallot             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.017604229004588072|\n",
      "|stddev |0.13151115025856588 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|shavuot             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001047277079593058|\n",
      "|stddev |0.03234551694249792 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|shellfish           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.027877518452024734|\n",
      "|stddev |0.1646259821188472  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|sherry             |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.00623379214043487|\n",
      "|stddev |0.07870985284409253|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|shower              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.016357470576501096|\n",
      "|stddev |0.12684914734353497 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|shrimp              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.025134649910233394|\n",
      "|stddev |0.15653792292257546 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|side               |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.15714143227608218|\n",
      "|stddev |0.3639431385453817 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|simmer             |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.04438460003989627|\n",
      "|stddev |0.2059532050137924 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|skewer              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |3.490923598643527E-4|\n",
      "|stddev |0.01868121780111749 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|slow_cooker         |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001296628765210453|\n",
      "|stddev |0.03598627657518593 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|smoker              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |3.490923598643527E-4|\n",
      "|stddev |0.018681217801117492|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|smoothie            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.002094554159186116|\n",
      "|stddev |0.0457194842992788  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|snapper             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.002942349890285258|\n",
      "|stddev |0.05416492203388987 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|sorbet               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117266 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|soufflé_meringue     |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.01223094797319777  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|soup_stew          |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.05799920207460602|\n",
      "|stddev |0.2337477688658541 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|sour_cream          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.020147616197885496|\n",
      "|stddev |0.14050862725559923 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|sourdough           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.00998677625151559 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|south_carolina      |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |4.987033712347895E-4|\n",
      "|stddev |0.022326655045579392|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|soy                 |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005485737083582685|\n",
      "|stddev |0.07386417169775732 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|soy_free           |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.4034011569918213 |\n",
      "|stddev |0.49059215888092994|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |1.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|soy_sauce           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.014612008777179334|\n",
      "|stddev |0.11999673358235519 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|spain               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.00998677625151559 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|sparkling_wine       |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0026929982046678637|\n",
      "|stddev |0.0518254755026344   |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|spice              |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.03391182924396569|\n",
      "|stddev |0.18100677060718134|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|spinach             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.018801117095551566|\n",
      "|stddev |0.13582545831755755 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|spirit              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.010921603830041891|\n",
      "|stddev |0.1039368132191312  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+------------------+\n",
      "|summary|spring            |\n",
      "+-------+------------------+\n",
      "|count  |20052             |\n",
      "|mean   |0.0855276281667664|\n",
      "|stddev |0.2796722254226079|\n",
      "|min    |0.0               |\n",
      "|25%    |0.0               |\n",
      "|50%    |0.0               |\n",
      "|75%    |0.0               |\n",
      "|max    |1.0               |\n",
      "+-------+------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|spritzer            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |3.490923598643527E-4|\n",
      "|stddev |0.01868121780111748 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|squash              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.007530420905645322|\n",
      "|stddev |0.08645279869291504 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|squid               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.002294035507680032|\n",
      "|stddev |0.04784231449604705 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|st_louis            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |3.490923598643527E-4|\n",
      "|stddev |0.018681217801117485|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|st_patricks_day      |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0027428685417913426|\n",
      "|stddev |0.05230183202666082  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|steak               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.012118491921005385|\n",
      "|stddev |0.10941769113707656 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|steam               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.011220825852782765|\n",
      "|stddev |0.1053350476095501  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|stew                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.008876920007979254|\n",
      "|stddev |0.09380063478601319 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|stir_fry            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.011320566527029723|\n",
      "|stddev |0.10579683122711704 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|stock                |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.012230947973197768 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|strawberry          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.015360063834031518|\n",
      "|stddev |0.12298327754714265 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|stuffing_dressing   |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.006882106523040095|\n",
      "|stddev |0.0826745668315777  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|sugar_conscious    |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.1229802513464991 |\n",
      "|stddev |0.32842272791941624|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|sugar_snap_pea       |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0038400159585078794|\n",
      "|stddev |0.061850311340984024 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|sukkot              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |6.981847197287054E-4|\n",
      "|stddev |0.02641461818687894 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|summer             |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.20696189906243767|\n",
      "|stddev |0.40513807147600683|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|super_bowl          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.015509674845401954|\n",
      "|stddev |0.12357138158154493 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|suzanne_goin        |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.00998677625151559 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|sweet_potato_yam    |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.014262916417314982|\n",
      "|stddev |0.11857565862707385 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|swiss_cheese         |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0036904049471374427|\n",
      "|stddev |0.060638018026306625 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|switzerland          |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.9948134849391582E-4|\n",
      "|stddev |0.014122729991017428 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|swordfish           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |7.979253939756633E-4|\n",
      "|stddev |0.028237005366734857|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|taco                 |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |3.9896269698783165E-4|\n",
      "|stddev |0.019970563717942796 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|tailgating          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.006433273488928785|\n",
      "|stddev |0.07995126804858597 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|tamarind            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001047277079593058|\n",
      "|stddev |0.032345516942497925|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|tangerine            |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0017953321364452424|\n",
      "|stddev |0.04233436306947735  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|tapioca             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |6.981847197287054E-4|\n",
      "|stddev |0.026414618186878944|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|tarragon            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.011968880909634948|\n",
      "|stddev |0.10874840953693764 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|tart                 |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |3.9896269698783165E-4|\n",
      "|stddev |0.0199705637179428   |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|tea                 |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005485737083582685|\n",
      "|stddev |0.07386417169775733 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|tennessee           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.974067424695791E-5|\n",
      "|stddev |0.009986776251515594|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|tequila             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004438460003989627|\n",
      "|stddev |0.06647541239306107 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|tested_and_improved  |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.0070618933101172605|\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|texas               |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001147017753840016|\n",
      "|stddev |0.03384906562243822 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|thanksgiving       |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.07271095152603231|\n",
      "|stddev |0.25966792578784287|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|thyme              |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.01660682226211849|\n",
      "|stddev |0.12779612745051316|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|tilapia             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |5.984440454817474E-4|\n",
      "|stddev |0.02445640485516401 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|tofu                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004588071015360064|\n",
      "|stddev |0.06758142044922565 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|tomatillo           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004089367644125274|\n",
      "|stddev |0.06381886735669026 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|tomato             |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.10672252144424496|\n",
      "|stddev |0.30876784058261597|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|tortillas           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.007879513265509674|\n",
      "|stddev |0.08841841670912479 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|tree_nut             |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0052862557350887695|\n",
      "|stddev |0.07251602224491051  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|tree_nut_free      |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.35133652503490925|\n",
      "|stddev |0.47739976663863926|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |1.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|triple_sec          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.003989626969878316|\n",
      "|stddev |0.06303894055782128 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|tropical_fruit       |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0030919609016556954|\n",
      "|stddev |0.0555207565462308   |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|trout                |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0026929982046678637|\n",
      "|stddev |0.0518254755026344   |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|tuna               |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.00668262517454618|\n",
      "|stddev |0.0814757555934234 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|turnip              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.004588071015360064|\n",
      "|stddev |0.06758142044922559 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|utah                 |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.012230947973197768 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|valentines_day      |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.011569918212647117|\n",
      "|stddev |0.10694215985088244 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|vanilla            |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.01336525034909236|\n",
      "|stddev |0.114835874561055  |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|veal                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.006134051466187912|\n",
      "|stddev |0.07808155303735254 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+------------------+\n",
      "|summary|vegan             |\n",
      "+-------+------------------+\n",
      "|count  |20052             |\n",
      "|mean   |0.0921603830041891|\n",
      "|stddev |0.2892594328810397|\n",
      "|min    |0.0               |\n",
      "|25%    |0.0               |\n",
      "|50%    |0.0               |\n",
      "|75%    |0.0               |\n",
      "|max    |1.0               |\n",
      "+-------+------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|vegetable          |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.10417913425094753|\n",
      "|stddev |0.3055004037002291 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|vegetarian         |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.34136245761021344|\n",
      "|stddev |0.4741785984812027 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |1.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|venison             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |4.987033712347895E-4|\n",
      "|stddev |0.022326655045579395|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|vermont             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |2.992220227408737E-4|\n",
      "|stddev |0.017295878338611265|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|vermouth            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |5.485737083582685E-4|\n",
      "|stddev |0.023415809171509618|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|vinegar             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.032764811490125674|\n",
      "|stddev |0.178024883518323   |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|virginia            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |5.984440454817474E-4|\n",
      "|stddev |0.02445640485516401 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|vodka              |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.00623379214043487|\n",
      "|stddev |0.07870985284409251|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|waffle               |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.00706189331011726  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|walnut              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.021194893277478557|\n",
      "|stddev |0.1440371633349482  |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|wasabi              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001147017753840016|\n",
      "|stddev |0.03384906562243821 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|washington          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.001296628765210453|\n",
      "|stddev |0.035986276575185924|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|washington_dc       |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |4.987033712347895E-4|\n",
      "|stddev |0.022326655045579392|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|watercress          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.006882106523040095|\n",
      "|stddev |0.08267456683157771 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|watermelon          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.003590664272890485|\n",
      "|stddev |0.05981596640140852 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|wedding             |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005585477757829643|\n",
      "|stddev |0.07452890180115868 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|weelicious           |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0016457211250748055|\n",
      "|stddev |0.0405351041535401   |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|west_virginia        |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117262 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|westwood             |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117266 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|wheat_gluten_free  |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.24466387392778774|\n",
      "|stddev |0.42989845241994235|\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|whiskey              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0028426092160383004|\n",
      "|stddev |0.053241620512898095 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|white_wine          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.024286854179134253|\n",
      "|stddev |0.15394214734658412 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|whole_wheat          |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0014961101137043686|\n",
      "|stddev |0.038651601154884405 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|wild_rice           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |8.976660682226212E-4|\n",
      "|stddev |0.029948372122820668|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|windsor              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117267 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+-------------------+\n",
      "|summary|wine               |\n",
      "+-------+-------------------+\n",
      "|count  |20052              |\n",
      "|mean   |0.00952523439058448|\n",
      "|stddev |0.0971337985758007 |\n",
      "|min    |0.0                |\n",
      "|25%    |0.0                |\n",
      "|50%    |0.0                |\n",
      "|75%    |0.0                |\n",
      "|max    |1.0                |\n",
      "+-------+-------------------+\n",
      "\n",
      "+-------+------------------+\n",
      "|summary|winter            |\n",
      "+-------+------------------+\n",
      "|count  |20052             |\n",
      "|mean   |0.1545481747456613|\n",
      "|stddev |0.3614824379732767|\n",
      "|min    |0.0               |\n",
      "|25%    |0.0               |\n",
      "|50%    |0.0               |\n",
      "|75%    |0.0               |\n",
      "|max    |1.0               |\n",
      "+-------+------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|wisconsin            |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.9948134849391582E-4|\n",
      "|stddev |0.014122729991017434 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|wok                 |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.005086774386594853|\n",
      "|stddev |0.07114177053087016 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|yellow_squash        |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0012467584280869738|\n",
      "|stddev |0.03528832842952962  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|yogurt              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.026331538001196888|\n",
      "|stddev |0.16012328611585272 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|yonkers              |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |4.9870337123478956E-5|\n",
      "|stddev |0.007061893310117266 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|yuca                |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |2.992220227408737E-4|\n",
      "|stddev |0.017295878338611268|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|zucchini            |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.014861360462796729|\n",
      "|stddev |0.12100095285202112 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|cookbooks            |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |1.4961101137043686E-4|\n",
      "|stddev |0.012230947973197771 |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|leftovers           |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |3.490923598643527E-4|\n",
      "|stddev |0.018681217801117485|\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+---------------------+\n",
      "|summary|snack                |\n",
      "+-------+---------------------+\n",
      "|count  |20052                |\n",
      "|mean   |0.0013963694394574107|\n",
      "|stddev |0.03734285923023654  |\n",
      "|min    |0.0                  |\n",
      "|25%    |0.0                  |\n",
      "|50%    |0.0                  |\n",
      "|75%    |0.0                  |\n",
      "|max    |1.0                  |\n",
      "+-------+---------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|snack_week          |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |9.475364053461001E-4|\n",
      "|stddev |0.03076825948353633 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n",
      "+-------+--------------------+\n",
      "|summary|turkey              |\n",
      "+-------+--------------------+\n",
      "|count  |20052               |\n",
      "|mean   |0.022740873728306403|\n",
      "|stddev |0.14907996092829223 |\n",
      "|min    |0.0                 |\n",
      "|25%    |0.0                 |\n",
      "|50%    |0.0                 |\n",
      "|75%    |0.0                 |\n",
      "|max    |1.0                 |\n",
      "+-------+--------------------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for x in food.columns:\n",
    "    food.select(x).summary().show(truncate=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51cf53cc-1dd7-496a-9f77-34f78228c630",
   "metadata": {},
   "source": [
    "### Types of features"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "eb80814f-318d-4f4a-88c5-8f61818b79c8",
   "metadata": {
    "tags": []
   },
   "source": [
    "<p align=\"center\">\n",
    "  <img src=\"../img/sp-img1.png\" alt=\"Description of Image\">\n",
    "</p>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0b2627b5-4696-4848-8053-298419b34352",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Identifying the binary columns from our data frame"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "455896b9-697f-43ad-aa7c-4c4649cab0a7",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    },
    {
     "data": {
      "text/plain": [
       "title                     0    False\n",
       "rating                    0    False\n",
       "calories                  0    False\n",
       "protein                   0    False\n",
       "fat                       0    False\n",
       "sodium                    0    False\n",
       "cakeweek                  0    False\n",
       "wasteless                 0    False\n",
       "22_minute_meals           0     True\n",
       "3_ingredient_recipes      0     True\n",
       "30_days_of_groceries      0     True\n",
       "advance_prep_required     0     True\n",
       "alabama                   0     True\n",
       "alaska                    0     True\n",
       "alcoholic                 0     True\n",
       "almond                    0     True\n",
       "amaretto                  0     True\n",
       "anchovy                   0     True\n",
       "anise                     0     True\n",
       "anniversary               0     True\n",
       "anthony_bourdain          0     True\n",
       "aperitif                  0     True\n",
       "appetizer                 0     True\n",
       "apple                     0     True\n",
       "apple_juice               0     True\n",
       "apricot                   0     True\n",
       "arizona                   0     True\n",
       "artichoke                 0     True\n",
       "arugula                   0     True\n",
       "asian_pear                0     True\n",
       "asparagus                 0     True\n",
       "aspen                     0     True\n",
       "atlanta                   0     True\n",
       "australia                 0     True\n",
       "avocado                   0     True\n",
       "back_to_school            0     True\n",
       "backyard_bbq              0     True\n",
       "bacon                     0     True\n",
       "bake                      0     True\n",
       "banana                    0     True\n",
       "barley                    0     True\n",
       "basil                     0     True\n",
       "bass                      0     True\n",
       "bastille_day              0     True\n",
       "bean                      0     True\n",
       "beef                      0     True\n",
       "beef_rib                  0     True\n",
       "beef_shank                0     True\n",
       "beef_tenderloin           0     True\n",
       "beer                      0     True\n",
       "beet                      0     True\n",
       "bell_pepper               0     True\n",
       "berry                     0     True\n",
       "beverly_hills             0     True\n",
       "birthday                  0     True\n",
       "biscuit                   0     True\n",
       "bitters                   0     True\n",
       "blackberry                0     True\n",
       "blender                   0     True\n",
       "blue_cheese               0     True\n",
       "blueberry                 0     True\n",
       "boil                      0     True\n",
       "bok_choy                  0     True\n",
       "bon_appétit               0     True\n",
       "bon_apptit                0     True\n",
       "boston                    0     True\n",
       "bourbon                   0     True\n",
       "braise                    0     True\n",
       "bran                      0     True\n",
       "brandy                    0     True\n",
       "bread                     0     True\n",
       "breadcrumbs               0     True\n",
       "breakfast                 0     True\n",
       "brie                      0     True\n",
       "brine                     0     True\n",
       "brisket                   0     True\n",
       "broccoli                  0     True\n",
       "broccoli_rabe             0     True\n",
       "broil                     0     True\n",
       "brooklyn                  0     True\n",
       "brown_rice                0     True\n",
       "brownie                   0     True\n",
       "brunch                    0     True\n",
       "brussel_sprout            0     True\n",
       "buffalo                   0     True\n",
       "buffet                    0     True\n",
       "bulgaria                  0     True\n",
       "bulgur                    0     True\n",
       "burrito                   0     True\n",
       "butter                    0     True\n",
       "buttermilk                0     True\n",
       "butternut_squash          0     True\n",
       "butterscotch_caramel      0     True\n",
       "cabbage                   0     True\n",
       "cake                      0     True\n",
       "california                0     True\n",
       "calvados                  0     True\n",
       "cambridge                 0     True\n",
       "campari                   0     True\n",
       "camping                   0     True\n",
       "canada                    0     True\n",
       "candy                     0     True\n",
       "candy_thermometer         0     True\n",
       "cantaloupe                0     True\n",
       "capers                    0     True\n",
       "caraway                   0     True\n",
       "cardamom                  0     True\n",
       "carrot                    0     True\n",
       "cashew                    0     True\n",
       "casserole_gratin          0     True\n",
       "cauliflower               0     True\n",
       "caviar                    0     True\n",
       "celery                    0     True\n",
       "chambord                  0     True\n",
       "champagne                 0     True\n",
       "chard                     0     True\n",
       "chartreuse                0     True\n",
       "cheddar                   0     True\n",
       "cheese                    0     True\n",
       "cherry                    0     True\n",
       "chestnut                  0     True\n",
       "chicago                   0     True\n",
       "chicken                   0     True\n",
       "chickpea                  0     True\n",
       "chile                     0     True\n",
       "chile_pepper              0     True\n",
       "chili                     0     True\n",
       "chill                     0     True\n",
       "chive                     0     True\n",
       "chocolate                 0     True\n",
       "christmas                 0     True\n",
       "christmas_eve             0     True\n",
       "cilantro                  0     True\n",
       "cinco_de_mayo             0     True\n",
       "cinnamon                  0     True\n",
       "citrus                    0     True\n",
       "clam                      0     True\n",
       "clove                     0     True\n",
       "cobbler_crumble           0     True\n",
       "cocktail                  0     True\n",
       "cocktail_party            0     True\n",
       "coconut                   0     True\n",
       "cod                       0     True\n",
       "coffee                    0     True\n",
       "coffee_grinder            0     True\n",
       "cognac_armagnac           0     True\n",
       "collard_greens            0     True\n",
       "colorado                  0     True\n",
       "columbus                  0     True\n",
       "condiment                 0     True\n",
       "condiment_spread          0     True\n",
       "connecticut               0     True\n",
       "cook_like_a_diner         0     True\n",
       "cookbook_critic           0     True\n",
       "cookie                    0     True\n",
       "cookies                   0     True\n",
       "coriander                 0     True\n",
       "corn                      0     True\n",
       "cornmeal                  0     True\n",
       "costa_mesa                0     True\n",
       "cottage_cheese            0     True\n",
       "couscous                  0     True\n",
       "crab                      0     True\n",
       "cranberry                 0     True\n",
       "cranberry_sauce           0     True\n",
       "cream_cheese              0     True\n",
       "créme_de_cacao            0     True\n",
       "crêpe                     0     True\n",
       "crme_de_cacao             0     True\n",
       "cuba                      0     True\n",
       "cucumber                  0     True\n",
       "cumin                     0     True\n",
       "cupcake                   0     True\n",
       "currant                   0     True\n",
       "curry                     0     True\n",
       "custard                   0     True\n",
       "dairy                     0     True\n",
       "dairy_free                0     True\n",
       "dallas                    0     True\n",
       "date                      0     True\n",
       "deep_fry                  0     True\n",
       "denver                    0     True\n",
       "dessert                   0     True\n",
       "digestif                  0     True\n",
       "dill                      0     True\n",
       "dinner                    0     True\n",
       "dip                       0     True\n",
       "diwali                    0     True\n",
       "dominican_republic        0     True\n",
       "dorie_greenspan           0     True\n",
       "double_boiler             0     True\n",
       "dried_fruit               0     True\n",
       "drink                     0     True\n",
       "drinks                    0     True\n",
       "duck                      0     True\n",
       "easter                    0     True\n",
       "eau_de_vie                0     True\n",
       "edible_gift               0     True\n",
       "egg                       0     True\n",
       "egg_nog                   0     True\n",
       "eggplant                  0     True\n",
       "egypt                     0     True\n",
       "emeril_lagasse            0     True\n",
       "endive                    0     True\n",
       "engagement_party          0     True\n",
       "england                   0     True\n",
       "entertaining              0     True\n",
       "epi__ushg                 0     True\n",
       "epi_loves_the_microwave   0     True\n",
       "escarole                  0     True\n",
       "fall                      0     True\n",
       "family_reunion            0     True\n",
       "fat_free                  0     True\n",
       "fathers_day               0     True\n",
       "fennel                    0     True\n",
       "feta                      0     True\n",
       "fig                       0     True\n",
       "fish                      0     True\n",
       "flaming_hot_summer        0     True\n",
       "flat_bread                0     True\n",
       "florida                   0     True\n",
       "fontina                   0     True\n",
       "food_processor            0     True\n",
       "fortified_wine            0     True\n",
       "fourth_of_july            0     True\n",
       "france                    0     True\n",
       "frangelico                0     True\n",
       "frankenrecipe             0     True\n",
       "freeze_chill              0     True\n",
       "freezer_food              0     True\n",
       "friendsgiving             0     True\n",
       "frittata                  0     True\n",
       "fritter                   0     True\n",
       "frozen_dessert            0     True\n",
       "fruit                     0     True\n",
       "fruit_juice               0     True\n",
       "fry                       0     True\n",
       "game                      0     True\n",
       "garlic                    0     True\n",
       "georgia                   0     True\n",
       "germany                   0     True\n",
       "gin                       0     True\n",
       "ginger                    0     True\n",
       "goat_cheese               0     True\n",
       "goose                     0     True\n",
       "gouda                     0     True\n",
       "gourmet                   0     True\n",
       "graduation                0     True\n",
       "grains                    0     True\n",
       "grand_marnier             0     True\n",
       "granola                   0     True\n",
       "grape                     0     True\n",
       "grapefruit                0     True\n",
       "grappa                    0     True\n",
       "green_bean                0     True\n",
       "green_onion_scallion      0     True\n",
       "grill                     0     True\n",
       "grill_barbecue            0     True\n",
       "ground_beef               0     True\n",
       "ground_lamb               0     True\n",
       "guam                      0     True\n",
       "guava                     0     True\n",
       "haiti                     0     True\n",
       "halibut                   0     True\n",
       "halloween                 0     True\n",
       "ham                       0     True\n",
       "hamburger                 0     True\n",
       "hanukkah                  0     True\n",
       "harpercollins             0     True\n",
       "hawaii                    0     True\n",
       "hazelnut                  0     True\n",
       "healdsburg                0     True\n",
       "healthy                   0     True\n",
       "herb                      0     True\n",
       "high_fiber                0     True\n",
       "hollywood                 0     True\n",
       "hominy_cornmeal_masa      0     True\n",
       "honey                     0     True\n",
       "honeydew                  0     True\n",
       "hors_doeuvre              0     True\n",
       "horseradish               0     True\n",
       "hot_drink                 0     True\n",
       "hot_pepper                0     True\n",
       "house_and_garden          0     True\n",
       "house_cocktail            0     True\n",
       "houston                   0     True\n",
       "hummus                    0     True\n",
       "ice_cream                 0     True\n",
       "ice_cream_machine         0     True\n",
       "iced_coffee               0     True\n",
       "iced_tea                  0     True\n",
       "idaho                     0     True\n",
       "illinois                  0     True\n",
       "indiana                   0     True\n",
       "iowa                      0     True\n",
       "ireland                   0     True\n",
       "israel                    0     True\n",
       "italy                     0     True\n",
       "jalapeño                  0     True\n",
       "jam_or_jelly              0     True\n",
       "jamaica                   0     True\n",
       "japan                     0     True\n",
       "jerusalem_artichoke       0     True\n",
       "juicer                    0     True\n",
       "jícama                    0     True\n",
       "kahlúa                    0     True\n",
       "kale                      0     True\n",
       "kansas                    0     True\n",
       "kansas_city               0     True\n",
       "kentucky                  0     True\n",
       "kentucky_derby            0     True\n",
       "kid_friendly              0     True\n",
       "kidney_friendly           0     True\n",
       "kirsch                    0     True\n",
       "kitchen_olympics          0     True\n",
       "kiwi                      0     True\n",
       "kosher                    0     True\n",
       "kosher_for_passover       0     True\n",
       "kumquat                   0     True\n",
       "kwanzaa                   0     True\n",
       "labor_day                 0     True\n",
       "lamb                      0     True\n",
       "lamb_chop                 0     True\n",
       "lamb_shank                0     True\n",
       "lancaster                 0     True\n",
       "las_vegas                 0     True\n",
       "lasagna                   0     True\n",
       "leafy_green               0     True\n",
       "leek                      0     True\n",
       "legume                    0     True\n",
       "lemon                     0     True\n",
       "lemon_juice               0     True\n",
       "lemongrass                0     True\n",
       "lentil                    0     True\n",
       "lettuce                   0     True\n",
       "lima_bean                 0     True\n",
       "lime                      0     True\n",
       "lime_juice                0     True\n",
       "lingonberry               0     True\n",
       "liqueur                   0     True\n",
       "lobster                   0     True\n",
       "london                    0     True\n",
       "long_beach                0     True\n",
       "los_angeles               0     True\n",
       "louisiana                 0     True\n",
       "louisville                0     True\n",
       "low_cal                   0     True\n",
       "low_carb                  0     True\n",
       "low_cholesterol           0     True\n",
       "low_fat                   0     True\n",
       "low_sodium                0     True\n",
       "low_sugar                 0     True\n",
       "low_no_sugar              0     True\n",
       "lunar_new_year            0     True\n",
       "lunch                     0     True\n",
       "lychee                    0     True\n",
       "macadamia_nut             0     True\n",
       "macaroni_and_cheese       0     True\n",
       "maine                     0     True\n",
       "mandoline                 0     True\n",
       "mango                     0     True\n",
       "maple_syrup               0     True\n",
       "mardi_gras                0     True\n",
       "margarita                 0     True\n",
       "marinade                  0     True\n",
       "marinate                  0     True\n",
       "marsala                   0     True\n",
       "marscarpone               0     True\n",
       "marshmallow               0     True\n",
       "martini                   0     True\n",
       "maryland                  0     True\n",
       "massachusetts             0     True\n",
       "mayonnaise                0     True\n",
       "meat                      0     True\n",
       "meatball                  0     True\n",
       "meatloaf                  0     True\n",
       "melon                     0     True\n",
       "mexico                    0     True\n",
       "mezcal                    0     True\n",
       "miami                     0     True\n",
       "michigan                  0     True\n",
       "microwave                 0     True\n",
       "midori                    0     True\n",
       "milk_cream                0     True\n",
       "minneapolis               0     True\n",
       "minnesota                 0     True\n",
       "mint                      0     True\n",
       "mississippi               0     True\n",
       "missouri                  0     True\n",
       "mixer                     0     True\n",
       "molasses                  0     True\n",
       "monterey_jack             0     True\n",
       "mortar_and_pestle         0     True\n",
       "mothers_day               0     True\n",
       "mozzarella                0     True\n",
       "muffin                    0     True\n",
       "mushroom                  0     True\n",
       "mussel                    0     True\n",
       "mustard                   0     True\n",
       "mustard_greens            0     True\n",
       "nancy_silverton           0     True\n",
       "nebraska                  0     True\n",
       "nectarine                 0     True\n",
       "new_hampshire             0     True\n",
       "new_jersey                0     True\n",
       "new_mexico                0     True\n",
       "new_orleans               0     True\n",
       "new_years_day             0     True\n",
       "new_years_eve             0     True\n",
       "new_york                  0     True\n",
       "no_meat_no_problem        0     True\n",
       "no_sugar_added            0     True\n",
       "no_cook                   0     True\n",
       "non_alcoholic             0     True\n",
       "noodle                    0     True\n",
       "north_carolina            0     True\n",
       "nut                       0     True\n",
       "nutmeg                    0     True\n",
       "oat                       0     True\n",
       "oatmeal                   0     True\n",
       "octopus                   0     True\n",
       "ohio                      0     True\n",
       "oklahoma                  0     True\n",
       "okra                      0     True\n",
       "oktoberfest               0     True\n",
       "olive                     0     True\n",
       "omelet                    0     True\n",
       "one_pot_meal              0     True\n",
       "onion                     0     True\n",
       "orange                    0     True\n",
       "orange_juice              0     True\n",
       "oregano                   0     True\n",
       "oregon                    0     True\n",
       "organic                   0     True\n",
       "orzo                      0     True\n",
       "oscars                    0     True\n",
       "oyster                    0     True\n",
       "pacific_palisades         0     True\n",
       "paleo                     0     True\n",
       "pan_fry                   0     True\n",
       "pancake                   0     True\n",
       "papaya                    0     True\n",
       "paprika                   0     True\n",
       "parade                    0     True\n",
       "paris                     0     True\n",
       "parmesan                  0     True\n",
       "parsley                   0     True\n",
       "parsnip                   0     True\n",
       "party                     0     True\n",
       "pasadena                  0     True\n",
       "passion_fruit             0     True\n",
       "passover                  0     True\n",
       "pasta                     0     True\n",
       "pasta_maker               0     True\n",
       "pastry                    0     True\n",
       "pea                       0     True\n",
       "peach                     0     True\n",
       "peanut                    0     True\n",
       "peanut_butter             0     True\n",
       "peanut_free               0     True\n",
       "pear                      0     True\n",
       "pecan                     0     True\n",
       "pennsylvania              0     True\n",
       "pepper                    0     True\n",
       "pernod                    0     True\n",
       "persian_new_year          0     True\n",
       "persimmon                 0     True\n",
       "peru                      0     True\n",
       "pescatarian               0     True\n",
       "philippines               0     True\n",
       "phyllo_puff_pastry_dough  0     True\n",
       "pickles                   0     True\n",
       "picnic                    0     True\n",
       "pie                       0     True\n",
       "pine_nut                  0     True\n",
       "pineapple                 0     True\n",
       "pistachio                 0     True\n",
       "pittsburgh                0     True\n",
       "pizza                     0     True\n",
       "plantain                  0     True\n",
       "plum                      0     True\n",
       "poach                     0     True\n",
       "poblano                   0     True\n",
       "poker_game_night          0     True\n",
       "pomegranate               0     True\n",
       "pomegranate_juice         0     True\n",
       "poppy                     0     True\n",
       "pork                      0     True\n",
       "pork_chop                 0     True\n",
       "pork_rib                  0     True\n",
       "pork_tenderloin           0     True\n",
       "port                      0     True\n",
       "portland                  0     True\n",
       "pot_pie                   0     True\n",
       "potato                    0     True\n",
       "potato_salad              0     True\n",
       "potluck                   0     True\n",
       "poultry                   0     True\n",
       "poultry_sausage           0     True\n",
       "pressure_cooker           0     True\n",
       "prosciutto                0     True\n",
       "providence                0     True\n",
       "prune                     0     True\n",
       "pumpkin                   0     True\n",
       "punch                     0     True\n",
       "purim                     0     True\n",
       "quail                     0     True\n",
       "quiche                    0     True\n",
       "quick_and_easy            0     True\n",
       "quick_and_healthy         0     True\n",
       "quince                    0     True\n",
       "quinoa                    0     True\n",
       "rabbit                    0     True\n",
       "rack_of_lamb              0     True\n",
       "radicchio                 0     True\n",
       "radish                    0     True\n",
       "raisin                    0     True\n",
       "ramadan                   0     True\n",
       "ramekin                   0     True\n",
       "raspberry                 0     True\n",
       "raw                       0     True\n",
       "red_wine                  0     True\n",
       "rhode_island              0     True\n",
       "rhubarb                   0     True\n",
       "rice                      0     True\n",
       "ricotta                   0     True\n",
       "roast                     0     True\n",
       "root_vegetable            0     True\n",
       "rosemary                  0     True\n",
       "rosh_hashanah_yom_kippur  0     True\n",
       "rosé                      0     True\n",
       "rub                       0     True\n",
       "rum                       0     True\n",
       "rutabaga                  0     True\n",
       "rye                       0     True\n",
       "saffron                   0     True\n",
       "sage                      0     True\n",
       "sake                      0     True\n",
       "salad                     0     True\n",
       "salad_dressing            0     True\n",
       "salmon                    0     True\n",
       "salsa                     0     True\n",
       "san_francisco             0     True\n",
       "sandwich                  0     True\n",
       "sandwich_theory           0     True\n",
       "sangria                   0     True\n",
       "santa_monica              0     True\n",
       "sardine                   0     True\n",
       "sauce                     0     True\n",
       "sausage                   0     True\n",
       "sauté                     0     True\n",
       "scallop                   0     True\n",
       "scotch                    0     True\n",
       "seafood                   0     True\n",
       "seattle                   0     True\n",
       "seed                      0     True\n",
       "self                      0     True\n",
       "semolina                  0     True\n",
       "sesame                    0     True\n",
       "sesame_oil                0     True\n",
       "shallot                   0     True\n",
       "shavuot                   0     True\n",
       "shellfish                 0     True\n",
       "sherry                    0     True\n",
       "shower                    0     True\n",
       "shrimp                    0     True\n",
       "side                      0     True\n",
       "simmer                    0     True\n",
       "skewer                    0     True\n",
       "slow_cooker               0     True\n",
       "smoker                    0     True\n",
       "smoothie                  0     True\n",
       "snapper                   0     True\n",
       "sorbet                    0     True\n",
       "soufflé_meringue          0     True\n",
       "soup_stew                 0     True\n",
       "sour_cream                0     True\n",
       "sourdough                 0     True\n",
       "south_carolina            0     True\n",
       "soy                       0     True\n",
       "soy_free                  0     True\n",
       "soy_sauce                 0     True\n",
       "spain                     0     True\n",
       "sparkling_wine            0     True\n",
       "spice                     0     True\n",
       "spinach                   0     True\n",
       "spirit                    0     True\n",
       "spring                    0     True\n",
       "spritzer                  0     True\n",
       "squash                    0     True\n",
       "squid                     0     True\n",
       "st_louis                  0     True\n",
       "st_patricks_day           0     True\n",
       "steak                     0     True\n",
       "steam                     0     True\n",
       "stew                      0     True\n",
       "stir_fry                  0     True\n",
       "stock                     0     True\n",
       "strawberry                0     True\n",
       "stuffing_dressing         0     True\n",
       "sugar_conscious           0     True\n",
       "sugar_snap_pea            0     True\n",
       "sukkot                    0     True\n",
       "summer                    0     True\n",
       "super_bowl                0     True\n",
       "suzanne_goin              0     True\n",
       "sweet_potato_yam          0     True\n",
       "swiss_cheese              0     True\n",
       "switzerland               0     True\n",
       "swordfish                 0     True\n",
       "taco                      0     True\n",
       "tailgating                0     True\n",
       "tamarind                  0     True\n",
       "tangerine                 0     True\n",
       "tapioca                   0     True\n",
       "tarragon                  0     True\n",
       "tart                      0     True\n",
       "tea                       0     True\n",
       "tennessee                 0     True\n",
       "tequila                   0     True\n",
       "tested_and_improved       0     True\n",
       "texas                     0     True\n",
       "thanksgiving              0     True\n",
       "thyme                     0     True\n",
       "tilapia                   0     True\n",
       "tofu                      0     True\n",
       "tomatillo                 0     True\n",
       "tomato                    0     True\n",
       "tortillas                 0     True\n",
       "tree_nut                  0     True\n",
       "tree_nut_free             0     True\n",
       "triple_sec                0     True\n",
       "tropical_fruit            0     True\n",
       "trout                     0     True\n",
       "tuna                      0     True\n",
       "turnip                    0     True\n",
       "utah                      0     True\n",
       "valentines_day            0     True\n",
       "vanilla                   0     True\n",
       "veal                      0     True\n",
       "vegan                     0     True\n",
       "vegetable                 0     True\n",
       "vegetarian                0     True\n",
       "venison                   0     True\n",
       "vermont                   0     True\n",
       "vermouth                  0     True\n",
       "vinegar                   0     True\n",
       "virginia                  0     True\n",
       "vodka                     0     True\n",
       "waffle                    0     True\n",
       "walnut                    0     True\n",
       "wasabi                    0     True\n",
       "washington                0     True\n",
       "washington_dc             0     True\n",
       "watercress                0     True\n",
       "watermelon                0     True\n",
       "wedding                   0     True\n",
       "weelicious                0     True\n",
       "west_virginia             0     True\n",
       "westwood                  0     True\n",
       "wheat_gluten_free         0     True\n",
       "whiskey                   0     True\n",
       "white_wine                0     True\n",
       "whole_wheat               0     True\n",
       "wild_rice                 0     True\n",
       "windsor                   0     True\n",
       "wine                      0     True\n",
       "winter                    0     True\n",
       "wisconsin                 0     True\n",
       "wok                       0     True\n",
       "yellow_squash             0     True\n",
       "yogurt                    0     True\n",
       "yonkers                   0     True\n",
       "yuca                      0     True\n",
       "zucchini                  0     True\n",
       "cookbooks                 0     True\n",
       "leftovers                 0     True\n",
       "snack                     0     True\n",
       "snack_week                0     True\n",
       "turkey                    0     True\n",
       "dtype: bool"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "pd.set_option(\"display.max_rows\", 1000)\n",
    "\n",
    "# Here begins a multi-step operation on the `food` DataFrame.\n",
    "\n",
    "# 1. For each column in `food`, calculate whether it has exactly 2 unique values.\n",
    "# 2. Convert the resulting DataFrame to a pandas DataFrame.\n",
    "# 3. The result is stored in the `is_binary` variable.\n",
    "\n",
    "is_binary = (\n",
    "                food.agg(*[ (F.size(F.collect_set(col_name)) == 2).alias(col_name) for col_name in food.columns ])\n",
    "                    .toPandas()\n",
    "            )\n",
    "\n",
    "is_binary.unstack()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "99fede3c-5d24-47df-b496-b9c712daba01",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "672"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "is_binary.unstack()[is_binary.unstack() == True].count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "64317189-eb8c-4f1e-b3f8-83fff1bf2af2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "is_binary.unstack()[is_binary.unstack() == False].count()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27f05897-d960-405d-88bf-9c3ce82604e9",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Resolving data mishandling incidents and creating our initial set of features"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a1f6a124-aa1c-40ee-8a10-f8968389b38c",
   "metadata": {},
   "source": [
    "There were two columns that were suspicious: `cakeweek` and `wasteless`.\n",
    "\n",
    "<p align=\"center\">\n",
    "  <img src=\"../img/sp-img2.png\" alt=\"Description of Image\">\n",
    "</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "884bd018-1536-4819-9216-b1f34fbf338a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------------------------------+----------------------+\n",
      "|collect_set(cakeweek)          |collect_set(wasteless)|\n",
      "+-------------------------------+----------------------+\n",
      "|[0.0, 1.0, 1188.0, 24.0, 880.0]|[0.0, 1439.0, 1.0]    |\n",
      "+-------------------------------+----------------------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "#Identifying the distinct values for our two suspicious columns\n",
    "\n",
    "(\n",
    "    food.agg(*[F.collect_set(x) for x in (\"cakeweek\", \"wasteless\")])\n",
    "        .show(truncate=False)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "0aefd304-809a-4838-b43c-37123b5bd948",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+----------------------------------------------------------------+------------------------+---------+--------+------+\n",
      "|title                                                           |rating                  |wasteless|cakeweek|turkey|\n",
      "+----------------------------------------------------------------+------------------------+---------+--------+------+\n",
      "|\"Beet Ravioli with Pine Nut \"\"Goat Cheese\"\" Rosemary-Cream Sauce| Aged Balsamic Vinegar \"|0.0      |880.0   |0.0   |\n",
      "|\"Seafood \"\"Cataplana\"\" with Saffron                             | Vermouth               |1439.0   |24.0    |0.0   |\n",
      "|\"\"\"Pot Roast\"\" of Seitan                                        | Aunt Gloria-Style \"    |0.0      |1188.0  |0.0   |\n",
      "+----------------------------------------------------------------+------------------------+---------+--------+------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "( \n",
    "    food.where(\"cakeweek > 1.0 or wasteless > 1.0\")\n",
    "        .select(\"title\", \"rating\", \"wasteless\", \"cakeweek\", food.columns[-1])\n",
    "        .show(truncate=False)\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "98286aa3-776d-40bd-a383-d67834d3c02f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20054 680\n"
     ]
    }
   ],
   "source": [
    "# Keeping only the legit values for cakeweek and wasteless\n",
    "\n",
    "food = food.where(\n",
    "                    ( F.col(\"cakeweek\").isin([0.0, 1.0]) | F.col(\"cakeweek\").isNull() ) & \n",
    "                    ( F.col(\"wasteless\").isin([0.0, 1.0]) | F.col(\"wasteless\").isNull() )\n",
    "                )\n",
    "\n",
    "# We lost 3 records, previous count was 20,057 records. \n",
    "print(food.count(), len(food.columns))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3386135d-ec2f-48b1-a8b3-31d9902dca19",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Creating `four` top-level variables (main `sets of columns`) \n",
    "\n",
    "- `IDENTIFIERS` \n",
    "- `TARGET_COLUMN` \n",
    "- `CONTINUOUS_COLUMNS` \n",
    "- `BINARY_COLUMNS`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e9a49b33-167e-4a15-830c-4c562ea34c8e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# 1. The column that contain the information unique to each record\n",
    "IDENTIFIERS = [\"title\"]\n",
    "\n",
    "\n",
    "# 2. The column which we wish to \"predict\"\n",
    "TARGET_COLUMN = [\"dessert\"]\n",
    "\n",
    "# 3. Columns which contains continuos values \n",
    "CONTINUOUS_COLUMNS = [\n",
    "                        \"rating\",\n",
    "                        \"calories\",\n",
    "                        \"protein\",\n",
    "                        \"fat\",\n",
    "                        \"sodium\"\n",
    "                     ]\n",
    "\n",
    "# 4. Columns which contains binary values \n",
    "BINARY_COLUMNS = [ x for x in food.columns\n",
    "                        if x not in TARGET_COLUMN + CONTINUOUS_COLUMNS + IDENTIFIERS\n",
    "                 ]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "83703ac1-ceb2-4911-9b9a-c52d776cd66a",
   "metadata": {
    "tags": []
   },
   "source": [
    "<p align=\"center\">\n",
    "  <img src=\"../img/sp-img3.png\" alt=\"Description of Image\">\n",
    "</p>"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9df39aea-3aab-47d1-a7c2-300a5f70c080",
   "metadata": {},
   "source": [
    "### Removing useless records and filling the `null` values of the `binary features`\n",
    "\n",
    "In our case, this means removing two types of records:\n",
    "\n",
    "- Those where all the **features** are `null`\n",
    "- Those where the **target** is `null`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "ad1e4665-66a4-40f2-a96c-daa2723e9dcc",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Stage 2057:===========================>                           (7 + 7) / 14]\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20049 680\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "# every column but the name of the recipe \n",
    "food = food.dropna(\n",
    "                    how=\"all\",\n",
    "                    subset=[x for x in food.columns if x not in IDENTIFIERS],\n",
    "                  )\n",
    "\n",
    "# target column \n",
    "food = food.dropna(\n",
    "                    subset=TARGET_COLUMN\n",
    "                  )\n",
    "\n",
    "# We lost 5 records \n",
    "print(food.count(), len(food.columns))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bdb7554f-cae1-420d-9028-562b7f14ea9e",
   "metadata": {},
   "source": [
    "### Setting a default value of 0.0 to every `binary feature` column\n",
    "\n",
    "In the context of our binary variable (presence\n",
    "of an ingredient or classification of the dish according to a certain label)\n",
    "- **An absence of a value can be thought of as being conceptually closer to false than true, so we’ll default every binary feature column to 0.0**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "c1e8fdec-9998-4111-ab2c-d659650049d4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    }
   ],
   "source": [
    "food = food.fillna(0.0, subset=BINARY_COLUMNS)\n",
    "\n",
    "# Verify\n",
    "print(food.where(F.col(BINARY_COLUMNS[0]).isNull()).count())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "397b3ca6-c944-4010-99e0-11a31b80271f",
   "metadata": {},
   "source": [
    "### Taking care of extreme values: cleaning `continuous feature` columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1bc44735-c7ab-4d5b-9eb4-d7a2c90f5876",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Stage 2064:===============================>                        (5 + 4) / 9]\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+---------+------------+-------+----+------+\n",
      "|   rating|    calories|protein| fat|sodium|\n",
      "+---------+------------+-------+----+------+\n",
      "| Cucumber| and Lemon \"|   3.75|null|  null|\n",
      "+---------+------------+-------+----+------+\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "# Because of some data misalignment, PySpark inferred the type of the \"rating\" and \"calories\" column as a string, \n",
    "# where they should have been numerical\n",
    "\n",
    "# Non-numerical values in the `rating` and `calories` columns\n",
    "\n",
    "from typing import Optional\n",
    "\n",
    "@F.udf(T.BooleanType())                # takes a string column and returns True if the value is a floating-point number\n",
    "def is_a_number(value):\n",
    "    if not value:\n",
    "        return True\n",
    "    try:\n",
    "        _ = float(value)\n",
    "    except ValueError:\n",
    "        return False\n",
    "    \n",
    "    return True\n",
    "\n",
    "(\n",
    "    food.where(~is_a_number(F.col(\"rating\")))\n",
    "        .select(*CONTINUOUS_COLUMNS)\n",
    "        .show()\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "bf85c4fe-ce80-4e1f-9e58-eda5b99c0c9c",
   "metadata": {
    "jupyter": {
     "source_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+------+--------+-------+----+------+\n",
      "|rating|calories|protein| fat|sodium|\n",
      "+------+--------+-------+----+------+\n",
      "|   2.5|   426.0|   30.0| 7.0| 559.0|\n",
      "| 4.375|   403.0|   18.0|23.0|1439.0|\n",
      "|  3.75|   165.0|    6.0| 7.0| 165.0|\n",
      "|   5.0|    null|   null|null|  null|\n",
      "| 3.125|   547.0|   20.0|32.0| 452.0|\n",
      "| 4.375|   948.0|   19.0|79.0|1042.0|\n",
      "| 4.375|    null|   null|null|  null|\n",
      "|  3.75|    null|   null|null|  null|\n",
      "| 4.375|   170.0|    7.0|10.0|1272.0|\n",
      "|  3.75|   602.0|   23.0|41.0|1696.0|\n",
      "+------+--------+-------+----+------+\n",
      "only showing top 10 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "food.select(*CONTINUOUS_COLUMNS).show(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "b822a67e-e0d4-410e-91f2-3f673e3bac3d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Stage 2066:===============================>                       (8 + 6) / 14]\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20048 680\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "# A string value in any of those two columns means that the data is misaligned\n",
    "# Casting the 'rating' and 'calories' columns into double\n",
    "\n",
    "for column in [\"rating\", \"calories\"]:\n",
    "    food = food.where(is_a_number(F.col(column)))\n",
    "    food = food.withColumn(column, F.col(column).cast(T.DoubleType()))\n",
    "\n",
    "# We lost 1 more record \n",
    "print(food.count(), len(food.columns))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "930b0b6d-07f1-4c34-80d4-c9f2a092bf69",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "# Looking at the values in our continuous feature columns\n",
    "\n",
    "summary_df = (\n",
    "    food.select(*CONTINUOUS_COLUMNS)\n",
    "    .summary(\n",
    "            \"mean\",\n",
    "            \"stddev\",\n",
    "            \"min\",\n",
    "            \"1%\",\n",
    "            \"5%\",\n",
    "            \"50%\",\n",
    "            \"95%\",\n",
    "            \"99%\",\n",
    "            \"max\")\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "c5af15d5-dbdb-457c-8f41-931ad3ea2bbd",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------+------------------+------------------+------------------+-----------------+------------------+\n",
      "|summary|            rating|          calories|           protein|              fat|            sodium|\n",
      "+-------+------------------+------------------+------------------+-----------------+------------------+\n",
      "|   mean| 3.714460295291301|6324.0634571930705|100.17385283565179|346.9398083953107| 6226.927244193346|\n",
      "| stddev|1.3409187660508957|359079.83696340176| 3840.680997128738|20458.04034412412|333349.56803702697|\n",
      "|    min|               0.0|               0.0|               0.0|              0.0|               0.0|\n",
      "|     1%|               0.0|              18.0|               0.0|              0.0|               1.0|\n",
      "|     5%|               0.0|              62.0|               0.0|              0.0|               5.0|\n",
      "|    50%|             4.375|             331.0|               8.0|             17.0|             294.0|\n",
      "|    95%|               5.0|            1316.0|              75.0|             85.0|            2050.0|\n",
      "|    99%|               5.0|            3257.0|             171.0|            207.0|            5695.0|\n",
      "|    max|               5.0|       3.0111218E7|          236489.0|        1722763.0|        2.767511E7|\n",
      "+-------+------------------+------------------+------------------+-----------------+------------------+\n",
      "\n"
     ]
    }
   ],
   "source": [
    "summary_df.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "3dc9c342-8fda-495c-95cc-2107d21e2a51",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Extract the 99% value for each continuous feature column\n",
    "maximum = {}\n",
    "\n",
    "for col in CONTINUOUS_COLUMNS:\n",
    "    value_99 = (\n",
    "                 summary_df\n",
    "                    .select(col)\n",
    "                    .filter(summary_df[\"summary\"] == \"99%\")\n",
    "                    .collect()[0][col]\n",
    "                )\n",
    "    \n",
    "    maximum[col] = float(value_99)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "2c704314-b0b4-4561-a1db-f1e8f0bbbc83",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'rating': 5.0,\n",
       " 'calories': 3257.0,\n",
       " 'protein': 171.0,\n",
       " 'fat': 207.0,\n",
       " 'sodium': 5695.0}"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "maximum"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "d434c2d9-918e-478e-b297-e0473fe8b722",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# # Imputing the average value for four continuous columns\n",
    "\n",
    "for k, v in maximum.items():\n",
    "    food = (\n",
    "                food.withColumn(k, F.when(F.isnull(F.col(k)), F.col(k))\n",
    "                                    .otherwise(F.least(F.col(k), F.lit(v)))\n",
    "                               )\n",
    "            )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "9104a422-ee1d-46dc-b956-43e63c9fa8e2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Stage 2072:======================================>               (10 + 4) / 14]\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------+------------------+-----------------+------------------+------------------+-----------------+\n",
      "|summary|            rating|         calories|           protein|               fat|           sodium|\n",
      "+-------+------------------+-----------------+------------------+------------------+-----------------+\n",
      "|   mean| 3.714460295291301|476.0645242279689|20.112481903443065| 26.82478255388882|576.9135593220338|\n",
      "| stddev|1.3409187660508954|485.5632388095832|28.936898178976964|32.701055376286604| 861.925151937026|\n",
      "|    min|               0.0|              0.0|               0.0|               0.0|              0.0|\n",
      "|     1%|               0.0|             18.0|               0.0|               0.0|              1.0|\n",
      "|     5%|               0.0|             62.0|               0.0|               0.0|              5.0|\n",
      "|    50%|             4.375|            331.0|               8.0|              17.0|            294.0|\n",
      "|    95%|               5.0|           1315.0|              75.0|              85.0|           2050.0|\n",
      "|    99%|               5.0|           3184.0|             171.0|             205.0|           5661.0|\n",
      "|    max|               5.0|           3257.0|             171.0|             207.0|           5695.0|\n",
      "+-------+------------------+-----------------+------------------+------------------+-----------------+\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "# Checking after the change \n",
    "(\n",
    "    food.select(*CONTINUOUS_COLUMNS)\n",
    "    .summary(\n",
    "            \"mean\",\n",
    "            \"stddev\",\n",
    "            \"min\",\n",
    "            \"1%\",\n",
    "            \"5%\",\n",
    "            \"50%\",\n",
    "            \"95%\",\n",
    "            \"99%\",\n",
    "            \"max\")\n",
    "    .show()\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b15953f0-f035-4086-9ae6-1acad2ac7873",
   "metadata": {},
   "source": [
    "### Weeding out the rare binary occurrence columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "ce0a3be7-f77c-406c-8e16-b8e54fe3f02c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "23/08/21 20:32:51 WARN DAGScheduler: Broadcasting large task binary with size 1495.1 KiB\n",
      "                                                                                \r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['cakeweek', 'wasteless', '30_days_of_groceries', 'alabama', 'alaska', 'anthony_bourdain', 'apple_juice', 'arizona', 'aspen', 'atlanta', 'australia', 'beverly_hills', 'biscuit', 'boston', 'bran', 'brooklyn', 'brownie', 'buffalo', 'bulgaria', 'burrito', 'cambridge', 'camping', 'canada', 'caviar', 'chicago', 'chili', 'cobbler_crumble', 'columbus', 'cook_like_a_diner', 'cookbook_critic', 'costa_mesa', 'cranberry_sauce', 'crêpe', 'crme_de_cacao', 'cuba', 'cupcake', 'custard', 'dallas', 'denver', 'digestif', 'dominican_republic', 'dorie_greenspan', 'eau_de_vie', 'egg_nog', 'egypt', 'emeril_lagasse', 'england', 'entertaining', 'epi__ushg', 'epi_loves_the_microwave', 'flat_bread', 'frankenrecipe', 'freezer_food', 'friendsgiving', 'frittata', 'fritter', 'germany', 'grains', 'grand_marnier', 'granola', 'grappa', 'guam', 'haiti', 'hamburger', 'hawaii', 'healdsburg', 'hollywood', 'house_cocktail', 'houston', 'hummus', 'iced_coffee', 'idaho', 'illinois', 'indiana', 'iowa', 'israel', 'italy', 'jamaica', 'japan', 'juicer', 'kansas', 'kansas_city', 'kentucky', 'kitchen_olympics', 'labor_day', 'lancaster', 'las_vegas', 'lasagna', 'lingonberry', 'london', 'long_beach', 'louisiana', 'louisville', 'lychee', 'macaroni_and_cheese', 'maine', 'marinade', 'marscarpone', 'marshmallow', 'martini', 'meatball', 'meatloaf', 'mexico', 'mezcal', 'miami', 'midori', 'minneapolis', 'mississippi', 'mortar_and_pestle', 'muffin', 'nancy_silverton', 'nebraska', 'new_hampshire', 'new_orleans', 'no_meat_no_problem', 'octopus', 'oklahoma', 'omelet', 'organic', 'orzo', 'pacific_palisades', 'pancake', 'paris', 'persian_new_year', 'peru', 'philippines', 'poblano', 'pomegranate_juice', 'pot_pie', 'potato_salad', 'pressure_cooker', 'providence', 'quiche', 'rabbit', 'rhode_island', 'rosé', 'rub', 'salsa', 'san_francisco', 'sardine', 'skewer', 'smoker', 'sorbet', 'soufflé_meringue', 'sourdough', 'spain', 'spritzer', 'st_louis', 'stock', 'suzanne_goin', 'switzerland', 'taco', 'tart', 'tennessee', 'tested_and_improved', 'utah', 'venison', 'vermont', 'waffle', 'west_virginia', 'westwood', 'windsor', 'wisconsin', 'yonkers', 'yuca', 'cookbooks', 'leftovers']\n"
     ]
    }
   ],
   "source": [
    "inst_sum_of_binary_columns = [\n",
    "                                F.sum(F.col(x)).alias(x) for x in BINARY_COLUMNS\n",
    "                            ]\n",
    "\n",
    "sum_of_binary_columns = (\n",
    "                            food.select(*inst_sum_of_binary_columns).head().asDict()\n",
    "                        )\n",
    "\n",
    "num_rows = food.count()\n",
    "\n",
    "too_rare_features = [ k \n",
    "                      for k, v in sum_of_binary_columns.items() \n",
    "                      if v < 10 or v > (num_rows - 10)\n",
    "                    ]\n",
    "\n",
    "len(too_rare_features) # => 167\n",
    "\n",
    "print(too_rare_features)\n",
    "# ['cakeweek', 'wasteless', '30_days_of_groceries',\n",
    "# [...]\n",
    "# 'yuca', 'cookbooks', 'leftovers']\n",
    "\n",
    "BINARY_COLUMNS = list(set(BINARY_COLUMNS) - set(too_rare_features))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "57402106-752f-4a0f-9886-042a7564e744",
   "metadata": {
    "collapsed": true,
    "jupyter": {
     "outputs_hidden": true
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'cakeweek': 6.0,\n",
       " 'wasteless': 1.0,\n",
       " '22_minute_meals': 17.0,\n",
       " '3_ingredient_recipes': 27.0,\n",
       " '30_days_of_groceries': 7.0,\n",
       " 'advance_prep_required': 109.0,\n",
       " 'alabama': 3.0,\n",
       " 'alaska': 2.0,\n",
       " 'alcoholic': 835.0,\n",
       " 'almond': 584.0,\n",
       " 'amaretto': 39.0,\n",
       " 'anchovy': 45.0,\n",
       " 'anise': 116.0,\n",
       " 'anniversary': 111.0,\n",
       " 'anthony_bourdain': 2.0,\n",
       " 'aperitif': 12.0,\n",
       " 'appetizer': 1372.0,\n",
       " 'apple': 666.0,\n",
       " 'apple_juice': 6.0,\n",
       " 'apricot': 269.0,\n",
       " 'arizona': 8.0,\n",
       " 'artichoke': 153.0,\n",
       " 'arugula': 278.0,\n",
       " 'asian_pear': 20.0,\n",
       " 'asparagus': 207.0,\n",
       " 'aspen': 1.0,\n",
       " 'atlanta': 7.0,\n",
       " 'australia': 7.0,\n",
       " 'avocado': 273.0,\n",
       " 'back_to_school': 202.0,\n",
       " 'backyard_bbq': 938.0,\n",
       " 'bacon': 587.0,\n",
       " 'bake': 4413.0,\n",
       " 'banana': 177.0,\n",
       " 'barley': 50.0,\n",
       " 'basil': 565.0,\n",
       " 'bass': 90.0,\n",
       " 'bastille_day': 30.0,\n",
       " 'bean': 577.0,\n",
       " 'beef': 811.0,\n",
       " 'beef_rib': 56.0,\n",
       " 'beef_shank': 14.0,\n",
       " 'beef_tenderloin': 72.0,\n",
       " 'beer': 112.0,\n",
       " 'beet': 209.0,\n",
       " 'bell_pepper': 767.0,\n",
       " 'berry': 465.0,\n",
       " 'beverly_hills': 1.0,\n",
       " 'birthday': 193.0,\n",
       " 'biscuit': 7.0,\n",
       " 'bitters': 127.0,\n",
       " 'blackberry': 144.0,\n",
       " 'blender': 617.0,\n",
       " 'blue_cheese': 235.0,\n",
       " 'blueberry': 180.0,\n",
       " 'boil': 445.0,\n",
       " 'bok_choy': 59.0,\n",
       " 'bon_appétit': 9354.0,\n",
       " 'bon_apptit': 10.0,\n",
       " 'boston': 5.0,\n",
       " 'bourbon': 125.0,\n",
       " 'braise': 330.0,\n",
       " 'bran': 3.0,\n",
       " 'brandy': 270.0,\n",
       " 'bread': 499.0,\n",
       " 'breadcrumbs': 55.0,\n",
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       " 'suzanne_goin': 1.0,\n",
       " 'sweet_potato_yam': 286.0,\n",
       " 'swiss_cheese': 74.0,\n",
       " 'switzerland': 4.0,\n",
       " 'swordfish': 16.0,\n",
       " 'taco': 8.0,\n",
       " 'tailgating': 129.0,\n",
       " 'tamarind': 21.0,\n",
       " 'tangerine': 36.0,\n",
       " 'tapioca': 14.0,\n",
       " 'tarragon': 240.0,\n",
       " 'tart': 8.0,\n",
       " 'tea': 110.0,\n",
       " 'tennessee': 2.0,\n",
       " 'tequila': 89.0,\n",
       " 'tested_and_improved': 1.0,\n",
       " 'texas': 23.0,\n",
       " 'thanksgiving': 1458.0,\n",
       " 'thyme': 333.0,\n",
       " 'tilapia': 12.0,\n",
       " 'tofu': 92.0,\n",
       " 'tomatillo': 82.0,\n",
       " 'tomato': 2140.0,\n",
       " 'tortillas': 158.0,\n",
       " 'tree_nut': 106.0,\n",
       " 'tree_nut_free': 7044.0,\n",
       " 'triple_sec': 80.0,\n",
       " 'tropical_fruit': 62.0,\n",
       " 'trout': 54.0,\n",
       " 'tuna': 134.0,\n",
       " 'turnip': 92.0,\n",
       " 'utah': 3.0,\n",
       " 'valentines_day': 232.0,\n",
       " 'vanilla': 267.0,\n",
       " 'veal': 123.0,\n",
       " 'vegan': 1848.0,\n",
       " 'vegetable': 2087.0,\n",
       " 'vegetarian': 6844.0,\n",
       " 'venison': 9.0,\n",
       " 'vermont': 5.0,\n",
       " 'vermouth': 11.0,\n",
       " 'vinegar': 657.0,\n",
       " 'virginia': 11.0,\n",
       " 'vodka': 125.0,\n",
       " 'waffle': 1.0,\n",
       " 'walnut': 425.0,\n",
       " 'wasabi': 23.0,\n",
       " 'washington': 26.0,\n",
       " 'washington_dc': 10.0,\n",
       " 'watercress': 138.0,\n",
       " 'watermelon': 72.0,\n",
       " 'wedding': 112.0,\n",
       " 'weelicious': 33.0,\n",
       " 'west_virginia': 1.0,\n",
       " 'westwood': 1.0,\n",
       " 'wheat_gluten_free': 4906.0,\n",
       " 'whiskey': 57.0,\n",
       " 'white_wine': 487.0,\n",
       " 'whole_wheat': 30.0,\n",
       " 'wild_rice': 18.0,\n",
       " 'windsor': 1.0,\n",
       " 'wine': 191.0,\n",
       " 'winter': 3099.0,\n",
       " 'wisconsin': 4.0,\n",
       " 'wok': 102.0,\n",
       " 'yellow_squash': 25.0,\n",
       " 'yogurt': 528.0,\n",
       " 'yonkers': 1.0,\n",
       " 'yuca': 6.0,\n",
       " 'zucchini': 298.0,\n",
       " 'cookbooks': 3.0,\n",
       " 'leftovers': 7.0,\n",
       " 'snack': 28.0,\n",
       " 'snack_week': 19.0,\n",
       " 'turkey': 456.0}"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sum_of_binary_columns\n",
    "# sorted(sum_of_binary_columns.items(), key=lambda item: item[1], reverse=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "a59f1c74-1eac-47f2-b2cc-71a5857809d5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(506, 167)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# We removed 167 features that are either too rare or too frequent\n",
    "len(BINARY_COLUMNS), len(too_rare_features) "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c373a2fb-bc56-47d4-8733-5bb65e933d13",
   "metadata": {
    "toc-hr-collapsed": true
   },
   "source": [
    "## Feature creation and refinement"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc0ba745-e9f2-486c-9d1d-d9e5caeed4d8",
   "metadata": {},
   "source": [
    "In this section, we look at creating new features from the data we have at hand. Doing\n",
    "so can improve our model interpretability and predictive power. I show one example\n",
    "of feature preparation that places a few continuous features on the same scale as our\n",
    "binary ones.\n",
    "\n",
    "Fundamentally, **creating a custom feature in PySpark is nothing more than creating\n",
    "a new column, with a little more thought and notes on the side**. Manual feature\n",
    "creation is one of the secret weapons of a data scientist: you can embed business\n",
    "knowledge into highly custom features that can improve your model’s accuracy and\n",
    "interpretability. \n",
    "\n",
    "As an example, we’ll take the following two columns:\n",
    "\n",
    "- `protein` (the quantity (in grams) of protein in the recipe)\n",
    "- `fat` (the quantity (in grams) of fat in the recipe)\n",
    "\n",
    "With the information in those two columns, we will create **two features representing the percentage of calories attributed to each macro nutriment with the following assumptions, that there are: **\n",
    "\n",
    "- **protein_ratio** : `4 kcal per grams of protein` \n",
    "- **fat_ratio**     : `9 kcal per grams of fat`"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ea2205e4-e056-4eef-a3aa-2babab0d1e66",
   "metadata": {},
   "source": [
    "### Creating new features"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "e8b1e47e-0321-4396-8e04-0bcdfcda8366",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Creating new features that compute calories attributable to protein and fat\n",
    "# There are 4 kcal per grams of protein and 9 kcal per grams of fat.\n",
    "\n",
    "food = (\n",
    "            food.withColumn(\"protein_ratio\", F.round((F.col(\"protein\") * 4) / F.col(\"calories\"), 5))\n",
    "                .withColumn(\"fat_ratio\", F.round((F.col(\"fat\") * 9) / F.col(\"calories\"), 5))\n",
    "       )\n",
    "\n",
    "food = food.fillna(0.0, subset=[\"protein_ratio\", \"fat_ratio\"])\n",
    "\n",
    "CONTINUOUS_COLUMNS += [\"protein_ratio\", \"fat_ratio\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "bc4b937d-73bb-401d-b790-e23c3da3dabe",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+------+--------+-------+----+------+-------------+---------+\n",
      "|rating|calories|protein| fat|sodium|protein_ratio|fat_ratio|\n",
      "+------+--------+-------+----+------+-------------+---------+\n",
      "|   2.5|   426.0|   30.0| 7.0| 559.0|      0.28169|  0.14789|\n",
      "| 4.375|   403.0|   18.0|23.0|1439.0|      0.17866|  0.51365|\n",
      "|  3.75|   165.0|    6.0| 7.0| 165.0|      0.14545|  0.38182|\n",
      "|   5.0|    null|   null|null|  null|          0.0|      0.0|\n",
      "| 3.125|   547.0|   20.0|32.0| 452.0|      0.14625|  0.52651|\n",
      "+------+--------+-------+----+------+-------------+---------+\n",
      "only showing top 5 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "food.select(*CONTINUOUS_COLUMNS).show(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c4fd81dc-2062-41e6-a240-563d09faf128",
   "metadata": {},
   "source": [
    "**By creating these two columns, we integrate new knowledge into my data.** \n",
    "\n",
    "Without adding the energy per gram of fat and protein, nothing in the data set would have provided\n",
    "this. The model could have drawn a relationship between the actual quantity of\n",
    "fat/proteins and the total calories count independently, but we’re making this more\n",
    "obvious by allowing the model to have access to the ratio of protein/fat (and carbs;\n",
    "see the sidebar at the end of this section) directly."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "727e60f3-9349-4c79-8ea0-5aab24dbb641",
   "metadata": {},
   "source": [
    "### Removing highly correlated features"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ae631ba-c792-4328-ad2d-5e69ff41ba01",
   "metadata": {},
   "source": [
    "In this section, we take our set of continuous variables and look at the correlation\n",
    "between them in order to improve our model accuracy and explainability. "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e95b760-6f25-4c80-88cf-3abde9c80e7e",
   "metadata": {
    "tags": []
   },
   "source": [
    "Correlation in linear models is not always bad; as a matter of fact, you want your\n",
    "features to be correlated with your target (this provides predictive power). On the\n",
    "other hand, we want to **avoid correlation between features for two main reasons**:\n",
    "    \n",
    "- **If two features are highly correlated, it means that they provide almost the same information**. In the context of machine learning, this can confuse the fitting algorithm and create model or numerical instability.\n",
    "\n",
    "- **The more complex your model, the more complex the maintenance.** Highly correlated features rarely provide improved accuracy, yet complicate the model. Simple is better."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4c66b750-3723-48cc-b0ff-cedac41f773d",
   "metadata": {},
   "source": [
    "For computing correlation between variables, **PySpark provides the Correlation object**.\n",
    "`correlation` has a single method, corr, that computes the correlation between features\n",
    "in a Vector. Vectors are like PySpark arrays but with a special representation optimized\n",
    "for ML work. \n",
    "\n",
    "Here we use the `VectorAssembler` transformer on the food data frame to create a new column,\n",
    "`continuous_features`, that contains a Vector of all our continuous features.\n",
    "\n",
    "A **transformer** is a preconfigured object that, as its name indicates, transforms a\n",
    "data frame. Independently, it looks like unnecessary complexity, but it shines when\n",
    "applied within a pipeline."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "eaf4b5d9-79f4-4568-bcc8-0774c71a2f86",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+----------------------------------------------+\n",
      "|continuous_features                           |\n",
      "+----------------------------------------------+\n",
      "|[2.5,426.0,30.0,7.0,559.0,0.28169,0.14789]    |\n",
      "|[4.375,403.0,18.0,23.0,1439.0,0.17866,0.51365]|\n",
      "|[3.75,165.0,6.0,7.0,165.0,0.14545,0.38182]    |\n",
      "+----------------------------------------------+\n",
      "only showing top 3 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Removing highly correlated features\n",
    "# Assembling feature columns into a single Vector column\n",
    "\n",
    "from pyspark.ml.feature import VectorAssembler\n",
    "\n",
    "continuous_features = VectorAssembler(\n",
    "                                        inputCols=CONTINUOUS_COLUMNS, \n",
    "                                        outputCol=\"continuous_features\"\n",
    "                                    )\n",
    "\n",
    "vector_food = food.select(CONTINUOUS_COLUMNS)\n",
    "\n",
    "for col in CONTINUOUS_COLUMNS:\n",
    "    \n",
    "    # Vector columns cannot have null values (and they don’t make sense when computing correlation), so we remove them through a series of where()\n",
    "    vector_food = vector_food.where(~F.isnull(F.col(col)))\n",
    "\n",
    "vector_variable = continuous_features.transform(vector_food)\n",
    "vector_variable.select(\"continuous_features\").show(3, False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "a6ff30ba-f3b5-4d2a-99ea-cd4d5878670c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Stage 2084:>                                                       (0 + 1) / 1]\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+------+--------+-------+----+------+-------------+---------+\n",
      "|rating|calories|protein|fat |sodium|protein_ratio|fat_ratio|\n",
      "+------+--------+-------+----+------+-------------+---------+\n",
      "|2.5   |426.0   |30.0   |7.0 |559.0 |0.28169      |0.14789  |\n",
      "|4.375 |403.0   |18.0   |23.0|1439.0|0.17866      |0.51365  |\n",
      "|3.75  |165.0   |6.0    |7.0 |165.0 |0.14545      |0.38182  |\n",
      "+------+--------+-------+----+------+-------------+---------+\n",
      "only showing top 3 rows\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "vector_variable.select(*CONTINUOUS_COLUMNS).show(3, False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "41404fa0-6218-43c6-962b-dc1ca9cc2539",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "root\n",
      " |-- pearson(continuous_features): matrix (nullable = false)\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# Creating a correlation matrix in PySpark\n",
    "from pyspark.ml.stat import Correlation\n",
    "\n",
    "# The corr method takes a data frame and a Vector column reference as a parameter and generates a single-row, singlecolumn data frame containing the correlation matrix.\n",
    "correlation = Correlation.corr(vector_variable, \"continuous_features\")\n",
    "\n",
    "\n",
    "# PySpark returns the correlation matrix in a DenseMatrix column type, which is like a two-dimensional vector\n",
    "correlation.printSchema()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "09c81fd1-fe61-4959-aef5-942a8d49f47f",
   "metadata": {},
   "source": [
    "Since the data frame is small\n",
    "enough to be brought locally,\n",
    "we extract the first record\n",
    "with head() and the first\n",
    "column via an index slice,\n",
    "and we export the matrix as\n",
    "a NumPy array via toArray()."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "0df1f673-76ff-4afe-acdc-7b85e8bf52db",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Converting the `DenceMatrix` into a pandas-compatible array by using the toArray() method on the matrix\n",
    "correlation_array = correlation.head()[0].toArray()\n",
    "\n",
    "correlation_pd = pd.DataFrame(\n",
    "                                correlation_array,\n",
    "                                index=CONTINUOUS_COLUMNS,\n",
    "                                columns=CONTINUOUS_COLUMNS,\n",
    "                              )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "d97e6d22-cedc-457b-9295-ba8b1177314b",
   "metadata": {
    "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>rating</th>\n",
       "      <th>calories</th>\n",
       "      <th>protein</th>\n",
       "      <th>fat</th>\n",
       "      <th>sodium</th>\n",
       "      <th>protein_ratio</th>\n",
       "      <th>fat_ratio</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>rating</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.101699</td>\n",
       "      <td>0.113533</td>\n",
       "      <td>0.111536</td>\n",
       "      <td>0.065089</td>\n",
       "      <td>0.094370</td>\n",
       "      <td>0.129942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>calories</th>\n",
       "      <td>0.101699</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.756523</td>\n",
       "      <td>0.917805</td>\n",
       "      <td>0.516356</td>\n",
       "      <td>0.161603</td>\n",
       "      <td>0.173911</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>protein</th>\n",
       "      <td>0.113533</td>\n",
       "      <td>0.756523</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.665160</td>\n",
       "      <td>0.585059</td>\n",
       "      <td>0.599469</td>\n",
       "      <td>0.108445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fat</th>\n",
       "      <td>0.111536</td>\n",
       "      <td>0.917805</td>\n",
       "      <td>0.665160</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.421551</td>\n",
       "      <td>0.123965</td>\n",
       "      <td>0.423082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sodium</th>\n",
       "      <td>0.065089</td>\n",
       "      <td>0.516356</td>\n",
       "      <td>0.585059</td>\n",
       "      <td>0.421551</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.337331</td>\n",
       "      <td>0.032660</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>protein_ratio</th>\n",
       "      <td>0.094370</td>\n",
       "      <td>0.161603</td>\n",
       "      <td>0.599469</td>\n",
       "      <td>0.123965</td>\n",
       "      <td>0.337331</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.024897</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>fat_ratio</th>\n",
       "      <td>0.129942</td>\n",
       "      <td>0.173911</td>\n",
       "      <td>0.108445</td>\n",
       "      <td>0.423082</td>\n",
       "      <td>0.032660</td>\n",
       "      <td>0.024897</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 rating  calories   protein       fat    sodium  \\\n",
       "rating         1.000000  0.101699  0.113533  0.111536  0.065089   \n",
       "calories       0.101699  1.000000  0.756523  0.917805  0.516356   \n",
       "protein        0.113533  0.756523  1.000000  0.665160  0.585059   \n",
       "fat            0.111536  0.917805  0.665160  1.000000  0.421551   \n",
       "sodium         0.065089  0.516356  0.585059  0.421551  1.000000   \n",
       "protein_ratio  0.094370  0.161603  0.599469  0.123965  0.337331   \n",
       "fat_ratio      0.129942  0.173911  0.108445  0.423082  0.032660   \n",
       "\n",
       "               protein_ratio  fat_ratio  \n",
       "rating              0.094370   0.129942  \n",
       "calories            0.161603   0.173911  \n",
       "protein             0.599469   0.108445  \n",
       "fat                 0.123965   0.423082  \n",
       "sodium              0.337331   0.032660  \n",
       "protein_ratio       1.000000   0.024897  \n",
       "fat_ratio           0.024897   1.000000  "
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "correlation_pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "064b6fb7-16e7-4d93-a904-db4da60b1252",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Create a colorful correlation matrix using seaborn\n",
    "plt.figure(figsize=(8, 6))\n",
    "sns.heatmap(correlation_pd, annot=True, cmap=\"coolwarm\", center=0, linewidths=1)\n",
    "plt.title(\"Correlation Matrix\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e4fe0c4b-2b32-451c-90a1-c2a3f6bcb47b",
   "metadata": {
    "tags": [],
    "toc-hr-collapsed": true
   },
   "source": [
    "## Feature preparation with transformers and estimators"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c68b64dc-f1c9-446d-b6ba-9c3e7d1f594d",
   "metadata": {},
   "source": [
    "The transformer object has a two-staged process. \n",
    "\n",
    "- First, when instantiating the transformer, we provide the parameters necessary for its application, but not the data frame on which it’ll be applied\n",
    "- Then, we use the instantiated transformer’s `transform()` method on the data frame to get a transformed data frame"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c77ac58-726b-46be-9e0c-0e263746cd31",
   "metadata": {
    "tags": []
   },
   "source": [
    "### Instantiating and applying the Imputer to create an ImputerModel"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ab62408a-6195-4f96-98b6-93942a3fcc9c",
   "metadata": {},
   "source": [
    "In this section, we cover the `Imputer estimator` and introduce the concept of an `estimator`.\n",
    "Estimators are the main abstraction used by Spark for any data-dependent transformation,\n",
    "including ML models, so they are pervasive in any ML code using PySpark.\n",
    "\n",
    "At the core, an estimator is a transformer-generating object. We instantiate an estimator\n",
    "object just like a transformer by providing the relevant parameters to its constructor.\n",
    "\n",
    "To apply an estimator, we call the fit() method, which returns a Model\n",
    "object, which is, for all purposes, the same as a transformer. Estimators allow for automatically\n",
    "creating transformers that depend on the data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "e2db8098-ac50-4d80-adb0-0b97ddea3c6e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "# Instantiating and applying the Imputer to create an ImputerModel\n",
    "\n",
    "from pyspark.ml.feature import Imputer\n",
    "\n",
    "OLD_COLS = [\"calories\", \"protein\", \"fat\", \"sodium\"]\n",
    "NEW_COLS = [\"calories_i\", \"protein_i\", \"fat_i\", \"sodium_i\"]\n",
    "\n",
    "imputer = Imputer(\n",
    "                    strategy=\"mean\",\n",
    "                    inputCols=OLD_COLS,\n",
    "                    outputCols=NEW_COLS,\n",
    "                  )\n",
    "\n",
    "# To apply an estimator, we call the fit() method, which returns a Model object, which is, for all purposes, the same as a transformer. \n",
    "imputer_model = imputer.fit(food)\n",
    "\n",
    "CONTINUOUS_COLUMNS = (\n",
    "                        list(set(CONTINUOUS_COLUMNS) - set(OLD_COLS)) + NEW_COLS\n",
    "                     )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "360baa6e-0feb-4ec9-8c81-1ef49acd9c52",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Stage 2096:>                                                       (0 + 1) / 1]\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+--------+-----------------+\n",
      "|calories|calories_i       |\n",
      "+--------+-----------------+\n",
      "|null    |476.0645242279689|\n",
      "|null    |476.0645242279689|\n",
      "|null    |476.0645242279689|\n",
      "|null    |476.0645242279689|\n",
      "|null    |476.0645242279689|\n",
      "+--------+-----------------+\n",
      "only showing top 5 rows\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "# Using the ImputerModel object just like a transformer\n",
    "# We apply the resulting ImputerModel just like with any transformer by using the transform() method\n",
    "\n",
    "food_imputed = imputer_model.transform(food)\n",
    "\n",
    "(\n",
    "    food_imputed.where(\"calories is null\")\n",
    "                .select(\"calories\", \"calories_i\")\n",
    "                .show(5, False)\n",
    "\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "9d1ede15-a9e3-4afa-9ed5-952d01b9a2c1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Stage 2269:>                                                       (0 + 1) / 1]\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+---------+------+-------------+-----------------+------------------+-----------------+-----------------+\n",
      "|fat_ratio|rating|protein_ratio|       calories_i|         protein_i|            fat_i|         sodium_i|\n",
      "+---------+------+-------------+-----------------+------------------+-----------------+-----------------+\n",
      "|  0.14789|   2.5|      0.28169|            426.0|              30.0|              7.0|            559.0|\n",
      "|  0.51365| 4.375|      0.17866|            403.0|              18.0|             23.0|           1439.0|\n",
      "|  0.38182|  3.75|      0.14545|            165.0|               6.0|              7.0|            165.0|\n",
      "|      0.0|   5.0|          0.0|476.0645242279689|20.112481903443065|26.82478255388882|576.9135593220338|\n",
      "|  0.52651| 3.125|      0.14625|            547.0|              20.0|             32.0|            452.0|\n",
      "+---------+------+-------------+-----------------+------------------+-----------------+-----------------+\n",
      "only showing top 5 rows\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "food_imputed.select(*CONTINUOUS_COLUMNS).show(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ff9f4be-7c4a-4946-a4ee-625fc936b942",
   "metadata": {},
   "source": [
    "### Scaling our features using the `MinMaxScaler` estimator"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55fabfe8-0e26-4d5d-99b7-ab279be21566",
   "metadata": {},
   "source": [
    "This section covers variable scaling using the `MinMaxScaler` transformer. Scaling variables\n",
    "means performing a mathematical transformation on the variables so that they\n",
    "are all on the same numeric scale. When using a linear model, having scaled features\n",
    "means that your model coefficients (the weight of each feature) are comparable. \n",
    "\n",
    "This provides a tremendous boost to the interpretability of the model, a useful asset to have\n",
    "when assessing model performance. For some types of models, such as neural nets,\n",
    "scaled features also help with model performance.\n",
    "\n",
    "As an example, if you have a variable that contains a number between 0.0 and 1.0\n",
    "and another that contains a number between 1,000.0 and 2,500.0, if they both have\n",
    "the same model coefficient (let’s say 0.48), you might be tempted to think that both\n",
    "are equally important. In reality, the second variable is much more important because\n",
    "0.48 times something in the thousands is much higher than 0.48 times something\n",
    "between zero and one."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c298be8d-9512-42ea-8b8a-7438f5edb33f",
   "metadata": {},
   "source": [
    "<p align=\"center\">\n",
    "  <img src=\"../img/sp-img4.png\" alt=\"Description of Image\">\n",
    "</p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "483fe1cb-9b06-45f7-9356-8b71392433fb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----------------------------------------------------------------------------------------+\n",
      "|continuous_scaled                                                                        |\n",
      "+-----------------------------------------------------------------------------------------+\n",
      "|[0.5,0.13079521031624194,0.17543859649122806,0.033816425120772944,0.09815627743634768]   |\n",
      "|[0.875,0.12373349708320541,0.10526315789473684,0.1111111111111111,0.25267778753292364]   |\n",
      "|[0.75,0.050660116671783856,0.03508771929824561,0.033816425120772944,0.028972783143107993]|\n",
      "+-----------------------------------------------------------------------------------------+\n",
      "only showing top 3 rows\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "# Scaling our features using the MinMaxScaler estimator\n",
    "# Scaling our nonscaled continuous variables\n",
    "\n",
    "# Importing the MinMaxScaler module from PySpark's MLlib, which is used for feature scaling.\n",
    "from pyspark.ml.feature import MinMaxScaler\n",
    "\n",
    "# Filtering the list of CONTINUOUS_COLUMNS to exclude columns containing the word \"ratio\".\n",
    "# The result is stored in CONTINUOUS_NB.\n",
    "CONTINUOUS_NB = [x for x in CONTINUOUS_COLUMNS if \"ratio\" not in x]\n",
    "\n",
    "# Creating a VectorAssembler instance.\n",
    "# The VectorAssembler is used to combine multiple columns into a single vector column.\n",
    "# In this case, it's being set up to combine the columns from CONTINUOUS_NB into a single column named \"continuous\".\n",
    "continuous_assembler = VectorAssembler(\n",
    "                                        inputCols=CONTINUOUS_NB, \n",
    "                                        outputCol=\"continuous\"\n",
    "                                       )\n",
    "\n",
    "# Using the VectorAssembler to transform the 'food_imputed' DataFrame by combining the specified columns into a single vector column.\n",
    "food_features = continuous_assembler.transform(food_imputed)\n",
    "\n",
    "# Setting up the MinMaxScaler for scaling the \"continuous\" column.\n",
    "# MinMaxScaler will scale the values in the column to the range [0, 1].\n",
    "# The result of the scaling will be stored in a new column named \"continuous_scaled\".\n",
    "continuous_scaler = MinMaxScaler(\n",
    "                                    inputCol=\"continuous\",\n",
    "                                    outputCol=\"continuous_scaled\",\n",
    "                                )\n",
    "\n",
    "# Fitting the MinMaxScaler to the 'food_features' DataFrame and then using it to transform the DataFrame.\n",
    "# This scales the values in the \"continuous\" column and stores the result in \"continuous_scaled\".\n",
    "food_features = (\n",
    "                    continuous_scaler.fit(food_features)\n",
    "                                     .transform(food_features)\n",
    "                )\n",
    "\n",
    "# Displaying the top 3 rows of the \"continuous_scaled\" column to check the scaling results.\n",
    "food_features.select(\"continuous_scaled\").show(3, False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "9c8a1e96-6338-4d3b-8879-e0bb3be8476a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+------+----------+---------+-----+--------+\n",
      "|rating|calories_i|protein_i|fat_i|sodium_i|\n",
      "+------+----------+---------+-----+--------+\n",
      "|   2.5|     426.0|     30.0|  7.0|   559.0|\n",
      "| 4.375|     403.0|     18.0| 23.0|  1439.0|\n",
      "|  3.75|     165.0|      6.0|  7.0|   165.0|\n",
      "+------+----------+---------+-----+--------+\n",
      "only showing top 3 rows\n",
      "\n"
     ]
    }
   ],
   "source": [
    "food_features.select(*CONTINUOUS_NB).show(3, True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "723d802b-ea62-4b14-87eb-32fb1f2b54c0",
   "metadata": {},
   "source": [
    "**All the variables in our `continuous_scaled` vector are now between 0 and 1.**"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b923da04-e127-4444-9b58-aba5aa119749",
   "metadata": {},
   "source": [
    "# Part II: Building the ML Pipeline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "24c004dc-ed9d-423a-be96-007b82c97243",
   "metadata": {
    "tags": []
   },
   "source": [
    "So far we did the following:\n",
    "    \n",
    "- Read a CSV file containing dish names and multiple columns as feature\n",
    "candidates\n",
    "- 2 Sanitized the column names (lowered the case and fixed the punctuation,\n",
    "spacing, and nonprintable characters)\n",
    "- Removed illogical and irrelevant records\n",
    "- Filled the null values of binary columns to 0.0\n",
    "- Capped the amounts for calories, protein, fat, and sodium to the 99th percentile\n",
    "- Created ratio features (number of calories from a macro over number of calories for the dish)\n",
    "- Imputed the mean of continuous features\n",
    "- Scaled continuous features between 0.0 and 1.0\n",
    "\n",
    "Now we will dive deeper into transformers and estimators, this time in the context of an ML pipeline.\n",
    "With this new tool, we first train and evaluate our initial model. We then learn about\n",
    "customizing an ML pipeline at runtime, using cross-validation, a popular ML optimization\n",
    "technique, for optimizing our model parameters. Finally, we briefly discuss model\n",
    "interpretability by extracting the model coefficients (the weights attributed to each\n",
    "parameter) from our ML pipeline."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f990bfef-2231-4f37-9dde-099bd404002a",
   "metadata": {},
   "source": [
    "## `Transformers` and `estimators`: The building blocks of ML in Spark"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "98ed2058-65f9-41ee-8167-8597e76549ff",
   "metadata": {},
   "source": [
    "In simple terms, ML pipelines consist of two main components: transformers and estimators.\n",
    "\n",
    "- `Transformers`: Think of transformers as reusable and customizable building blocks in the ML pipeline. They take data as input and transform it in a specific way. For example, a transformer might convert text into numbers or normalize data so that it's all in the same range. Transformers don't make predictions; instead, they modify the data to make it suitable for modeling.\n",
    "\n",
    "- `Estimators`: Estimators are also building blocks in the ML pipeline, but they are responsible for creating and training ML models. When you train an ML model using an estimator, you get a fitted model, which is like a new program that we didn't write ourselves. This fitted model can then be used to make predictions on new data.\n",
    "\n",
    "The ML pipeline is essentially an ordered list of transformers and estimators. You arrange these components in a specific sequence to prepare the data and build the model. The pipeline helps in creating a more structured and organized approach to ML tasks.\n",
    "\n",
    "One of the significant advantages of using transformers and estimators is their portability. You can save the trained ML model and deploy it in different environments, making it easier to use the model in real-world applications.\n",
    "\n",
    "Overall, transformers and estimators provide a useful abstraction for ML modeling, making it more efficient and facilitating the deployment of ML models in various settings."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "13c01661-ebc0-41f2-ab6c-d072c1380f9d",
   "metadata": {},
   "source": [
    "To illustrate how a transformer and an estimator are parameterized, we will use a transformer and an estimator defined and used earlier:\n",
    "- `continuous_assembler` — A **VectorAssembler transformer** that takes five columns and creates a Vector column to be used for model training\n",
    "- `consinuous_scaler` — A **MinMaxScaler estimator** that scales values contained in a Vector column, returning values between 0 and 1 for each element in the vectors"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1aecdb90-cb2b-4dc3-ae13-6681a40f7e8f",
   "metadata": {},
   "source": [
    "## Building a (complete) Machine Learning Pipeline"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d51bcece-28e7-42d4-b74e-4bd33633bba5",
   "metadata": {},
   "source": [
    "In this section, we build an ML pipeline with the estimators we used\n",
    "for our dessert prediction feature preparation program and add the modeling step\n",
    "in the mix."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "90dea79d-1ea6-4943-89ed-b1a55442cfaf",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Importing the Pipeline module from PySpark's MLlib. Pipelines allow for streamlined preprocessing and modeling steps.\n",
    "from pyspark.ml import Pipeline\n",
    "import pyspark.ml.feature as MF\n",
    "\n",
    "# Creating an instance of the Imputer class. The Imputer will replace missing values in specified columns with the column's mean.\n",
    "imputer = MF.Imputer(  \n",
    "                        strategy=\"mean\",\n",
    "                        inputCols=[\"calories\", \"protein\", \"fat\", \"sodium\"],\n",
    "                        outputCols=[\"calories_i\", \"protein_i\", \"fat_i\", \"sodium_i\"],\n",
    "                    )\n",
    "\n",
    "# Creating a VectorAssembler instance. This will combine multiple columns into a single vector column.\n",
    "continuous_assembler = MF.VectorAssembler(  \n",
    "                                            inputCols=[\"rating\", \"calories_i\", \"protein_i\", \"fat_i\", \"sodium_i\"],\n",
    "                                            outputCol=\"continuous\"\n",
    "                                        )\n",
    "\n",
    "# Setting up the MinMaxScaler to scale the \"continuous\" column. This will scale the values to fall within the range [0, 1].\n",
    "continuous_scaler = MF.MinMaxScaler(  \n",
    "                                      inputCol=\"continuous\",\n",
    "                                      outputCol=\"continuous_scaled\",\n",
    "                                    )\n",
    "\n",
    "# Creating a PySpark ML pipeline that combines the three preprocessing steps (imputation, assembly, and scaling).\n",
    "food_pipeline = Pipeline(  \n",
    "                            # Specifying the order in which the preprocessing steps should occur.\n",
    "                            stages=[imputer, continuous_assembler, continuous_scaler]\n",
    "                        )\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ad88e2a7-e9b9-467b-92d2-4d5c00f17bcc",
   "metadata": {},
   "source": [
    "### Assembling the final data set with the vector column type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "063d49ca-a920-4cbb-a73c-b1139b0888ac",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "# Creating a VectorAssembler instance named 'preml_assembler'.\n",
    "# The purpose of this assembler is to combine multiple columns (binary columns, continuous scaled column, and ratio columns) \n",
    "# into a single vector column named \"features\".\n",
    "preml_assembler = MF.VectorAssembler(\n",
    "                                        inputCols=BINARY_COLUMNS  \n",
    "                                        + [\"continuous_scaled\"]\n",
    "                                        + [\"protein_ratio\", \"fat_ratio\"],\n",
    "                                        outputCol=\"features\",\n",
    "                                    )\n",
    "\n",
    "# Updating the previously created 'food_pipeline' by setting its stages. \n",
    "# This includes the imputation, assembly of continuous features, scaling of those features, \n",
    "# and the final assembly using 'preml_assembler' to create the \"features\" column.\n",
    "food_pipeline.setStages(\n",
    "                            [imputer, continuous_assembler, continuous_scaler, preml_assembler]\n",
    "                        )\n",
    "\n",
    "# Fitting the 'food_pipeline' to the 'food' DataFrame.\n",
    "# This trains the pipeline based on the data in 'food', essentially preparing it for transforming other datasets if needed.\n",
    "food_pipeline_model = food_pipeline.fit(food)  \n",
    "\n",
    "# Applying the trained pipeline model to the 'food' DataFrame.\n",
    "# This carries out all the preprocessing steps (imputation, assembly, scaling, and final assembly) on the 'food' DataFrame.\n",
    "food_features = food_pipeline_model.transform(food)  "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "95df8725-1967-4b26-ab96-0aedd3265223",
   "metadata": {},
   "source": [
    "Our data frame is ready for machine learning! We have a number of records, each with\n",
    "- `A target (or label )` column, dessert, containing a binary input (1.0 if the recipe\n",
    "is a dessert, 0.0 otherwise)\n",
    "- `A vector of features`, called features, containing all the information we want to\n",
    "train our machine learning model with"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "b5718250-15aa-45cf-84e8-b4a13efe3708",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Stage 2110:>                                                       (0 + 1) / 1]\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+------------------------------+-------+------------------------------+\n",
      "|                         title|dessert|                      features|\n",
      "+------------------------------+-------+------------------------------+\n",
      "|Lentil, Apple, and Turkey W...|    0.0|(513,[18,47,52,119,145,168,...|\n",
      "|Boudin Blanc Terrine with R...|    0.0|(513,[7,108,151,205,279,308...|\n",
      "| Potato and Fennel Soup Hodge |    0.0|(513,[16,134,172,251,343,40...|\n",
      "|Mahi-Mahi in Tomato Olive S...|    0.0|(513,[36,43,106,121,130,194...|\n",
      "|     Spinach Noodle Casserole |    0.0|(513,[11,251,286,296,308,33...|\n",
      "|                The Best Blts |    0.0|(513,[47,122,168,221,260,27...|\n",
      "|Ham and Spring Vegetable Sa...|    0.0|(513,[10,66,94,101,112,121,...|\n",
      "|         Spicy-Sweet Kumquats |    0.0|(513,[15,119,151,343,373,38...|\n",
      "|        Korean Marinated Beef |    0.0|(513,[61,82,94,209,343,379,...|\n",
      "|Ham Persillade with Mustard...|    0.0|(513,[17,121,131,194,260,27...|\n",
      "|Yams Braised with Cream, Ro...|    0.0|(513,[11,43,96,124,185,232,...|\n",
      "|            Spicy Noodle Soup |    0.0|(513,[8,57,61,84,94,111,121...|\n",
      "|Banana-Chocolate Chip Cake ...|    1.0|(513,[0,36,47,90,95,119,141...|\n",
      "|Beef Tenderloin with Garlic...|    0.0|(513,[37,62,84,210,273,278,...|\n",
      "|                Peach Mustard |    0.0|(513,[17,42,246,308,497,506...|\n",
      "|    Raw Cream of Spinach Soup |    0.0|(513,[84,134,151,205,243,34...|\n",
      "|Sweet Buttermilk Spoon Breads |    1.0|(513,[36,57,143,194,211,232...|\n",
      "|  Crisp Braised Pork Shoulder |    0.0|(513,[343,394,398,405,412,4...|\n",
      "|Mozzarella-Topped Peppers w...|    0.0|(513,[62,221,260,276,290,29...|\n",
      "|Tuna, Asparagus, and New Po...|    0.0|(513,[36,42,70,94,101,121,1...|\n",
      "|Asian Pear and Watercress S...|    0.0|(513,[11,61,222,328,343,373...|\n",
      "|          \"\"\"Fried\"\" Chicken \"|    0.0|(513,[47,200,338,437,449,50...|\n",
      "|Fish Fillets in Parchment w...|    0.0|(513,[38,62,101,130,213,276...|\n",
      "|Pancetta and Taleggio Lasag...|    0.0|(513,[77,118,128,130,184,23...|\n",
      "|      Sea Salt-Roasted Pecans |    0.0|(513,[11,15,151,263,267,308...|\n",
      "|       Garlic Baguette Crumbs |    0.0|(513,[67,151,306,343,357,37...|\n",
      "|     Cucumber-Basil Egg Salad |    0.0|(513,[10,36,55,66,94,121,12...|\n",
      "|            Dried Pear Crisps |    0.0|(513,[47,53,294,308,338,359...|\n",
      "|Green Bean, Red Onion, and ...|    0.0|(513,[10,21,36,72,106,121,1...|\n",
      "|    Apricot-Cherry Shortcakes |    1.0|(513,[25,34,36,119,194,260,...|\n",
      "+------------------------------+-------+------------------------------+\n",
      "only showing top 30 rows\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "food_features.select(\"title\", \"dessert\", \"features\").show(30, truncate=30)\n",
    "\n",
    "# Since we have 513 elements in our vector, with a majority of zeroes, PySpark uses a sparse vector representation to save some space"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "15f8f1ce-2e6a-450d-840f-4543ce5d200a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "StructField('features', VectorUDT(), True)\n"
     ]
    }
   ],
   "source": [
    "print(food_features.schema[\"features\"])\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fec1df36-3696-4106-9b79-160240d562a8",
   "metadata": {},
   "source": [
    "### Training an ML model using a `LogisticRegression` classifier"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "696fb871-eb75-4493-804c-19d57e54db08",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Pipeline_ea62e8369223"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Importing the LogisticRegression class from PySpark's MLlib for classification tasks.\n",
    "from pyspark.ml.classification import LogisticRegression\n",
    "\n",
    "# Setting up the Logistic Regression classifier.\n",
    "# - 'featuresCol': The name of the column that contains the feature vectors.\n",
    "# - 'labelCol': The name of the column that contains the true labels (target variable).\n",
    "# - 'predictionCol': The name of the column where the model's predictions will be stored.\n",
    "lr = LogisticRegression(\n",
    "                            featuresCol=\"features\", \n",
    "                            labelCol=\"dessert\", \n",
    "                            predictionCol=\"prediction\"\n",
    "                        )\n",
    "\n",
    "# Updating the 'food_pipeline' by setting its stages.\n",
    "# The pipeline will:\n",
    "# 1. Impute missing values\n",
    "# 2. Assemble continuous features\n",
    "# 3. Scale the assembled continuous features\n",
    "# 4. Combine binary features, scaled continuous features, and ratios into one feature column.\n",
    "# 5. Apply Logistic Regression on the final assembled feature column to make predictions.\n",
    "food_pipeline.setStages(\n",
    "    [\n",
    "        imputer,\n",
    "        continuous_assembler,\n",
    "        continuous_scaler,\n",
    "        preml_assembler,\n",
    "        lr, \n",
    "    ]\n",
    ")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "8e105b72-84e4-410a-a84f-902de11e8b60",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "23/08/21 20:49:48 WARN BLAS: Failed to load implementation from: com.github.fommil.netlib.NativeSystemBLAS\n",
      "23/08/21 20:49:48 WARN BLAS: Failed to load implementation from: com.github.fommil.netlib.NativeRefBLAS\n"
     ]
    }
   ],
   "source": [
    "# Splitting our data frame for training and testing\n",
    "\n",
    "train, test = food.randomSplit([0.7, 0.3], 13) \n",
    "\n",
    "train.cache()\n",
    "\n",
    "food_pipeline_model = food_pipeline.fit(train)  \n",
    "results = food_pipeline_model.transform(test) \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58c637c5-7bca-4930-8fe6-6cd116487aaf",
   "metadata": {},
   "source": [
    "### Evaluating and optimizing our model"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "3c396378-40c7-462a-824d-fd01381e5168",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Stage 2226:>                                                       (0 + 1) / 1]\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+----------+----------------------------------------+-------------------------------------------+\n",
      "|prediction|rawPrediction                           |probability                                |\n",
      "+----------+----------------------------------------+-------------------------------------------+\n",
      "|1.0       |[-11.549266771692439,11.549266771692439]|[9.643018125761321E-6,0.9999903569818742]  |\n",
      "|0.0       |[13.754412179269195,-13.754412179269195]|[0.9999989369976441,1.063002355916609E-6]  |\n",
      "|0.0       |[26.54497051689337,-26.54497051689337]  |[0.9999999999970375,2.9625191189097677E-12]|\n",
      "+----------+----------------------------------------+-------------------------------------------+\n",
      "only showing top 3 rows\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "results.select(\"prediction\", \"rawPrediction\", \"probability\").show(3, False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "c529971e-f93d-4cc1-bb6c-924c2ea1c3a5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Stage 2235:===================================>                    (5 + 3) / 8]\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-------+----+---+\n",
      "|dessert| 0.0|1.0|\n",
      "+-------+----+---+\n",
      "|    1.0|  61|990|\n",
      "|    0.0|5033| 53|\n",
      "+-------+----+---+\n",
      "\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "# Creating a confusion matrix for our model using pivot() \n",
    "results.groupby(\"dessert\").pivot(\"prediction\").count().show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "2e29ba38-eb5c-47ef-8d67-f0266d65e097",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "[Stage 2241:=====================>                                  (3 + 5) / 8]\r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model precision: 0.9491850431447747\n",
      "Model recall: 0.9419600380589914\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    }
   ],
   "source": [
    "# Computing the precision and recall (Spark 3.1+)\n",
    "lr_model = food_pipeline_model.stages[-1]  \n",
    "metrics = lr_model.evaluate(results.select(\"title\", \"dessert\", \"features\"))\n",
    "\n",
    "# LogisticRegressionTrainingSummary\n",
    "\n",
    "print(f\"Model precision: {metrics.precisionByLabel[1]}\")  \n",
    "print(f\"Model recall: {metrics.recallByLabel[1]}\")  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "3d06c833-3301-4457-aefe-697665156abf",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "                                                                                \r"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Area under ROC = 0.9959994469997118 \n"
     ]
    }
   ],
   "source": [
    "# Creating and evaluating a BinaryClassificationEvaluator object\n",
    "\n",
    "from pyspark.ml.evaluation import BinaryClassificationEvaluator\n",
    "\n",
    "evaluator = BinaryClassificationEvaluator(\n",
    "    labelCol=\"dessert\", \n",
    "    rawPredictionCol=\"rawPrediction\",\n",
    "    metricName=\"areaUnderROC\",\n",
    ")\n",
    "\n",
    "accuracy = evaluator.evaluate(results)\n",
    "print(f\"Area under ROC = {accuracy} \")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "65f72bae-6852-4ff6-a7b3-feac217c1089",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Using matplotlib to display the ROC curve\n",
    "\n",
    "plt.figure(figsize=(5, 5))\n",
    "plt.plot([0, 1], [0, 1], \"r--\")\n",
    "plt.plot(\n",
    "        lr_model.summary.roc.select(\"FPR\").collect(),\n",
    "        lr_model.summary.roc.select(\"TPR\").collect(),\n",
    "    )\n",
    "plt.xlabel(\"False positive rate\")\n",
    "plt.ylabel(\"True positive rate\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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