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    "NOTE:\n",
    "-----\n",
    "\n",
    "Please run the below cells first before proceeding- you'll need them soon!"
   ]
  },
  {
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   "execution_count": 1,
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     "data": {
      "text/plain": [
       "'Connected: None@dataset_1.db'"
      ]
     },
     "execution_count": 1,
     "metadata": {},
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    }
   ],
   "source": [
    "%load_ext sql\n",
    "%sql sqlite:///dataset_1.db"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Activity 3-3\n",
    "------------\n",
    "Quantifiers, NULLs, and Outer Joins"
   ]
  },
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   "source": [
    "Exercise #1\n",
    "-----------\n",
    "\n",
    "Recall that the tables we just looked at:\n",
    "\n",
    "`bagel`, which describes types of bagels made by the different bagel companies:\n",
    "> * name STRING\n",
    "> * price FLOAT\n",
    "> * made_by STRING\n",
    "\n",
    "And `purchase`:\n",
    "> * bagel_name STRING\n",
    "> * franchise STRING\n",
    "> * date INT\n",
    "> * quantity INT\n",
    "> * purchaser_age INT\n",
    "\n",
    "Where `purchase.bagel_name` references `bagel.name` and `purchase.franchise` references `bagel.made_by`.\n",
    "\n",
    "**Can you find out if there were any purchases of products not on one of the company's official lists (i.e. the `bagel` table), using a single SQL query?**\n",
    "\n",
    "Write your query here:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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