applications/12-generate-data.ipynb

{
 "cells": [
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   "cell_type": "markdown",
   "id": "1cb62318-2d46-4d3f-9558-6c87186ebc09",
   "metadata": {},
   "source": [
    "# Generate data\n",
    "\n",
    "The tools we use to digest and analyze data can often take a turn to generate data, which allows us to work out routines and algorithms without actual data, as long as we understand the anticipated data schema.\n",
    "\n",
    "The element of randomness also helps with the testing and robustness of the data process, especially with a sufficient sample size. The comprehensiveness of the randomly generated data can often rival that of the actual data.\n",
    "\n",
    "Suppose we are to work with some dataset that contains mobile activities across designated POIs, with a good understanding of the data schema (in the sense of columns):\n",
    "* `date` - the date of mobile device activities recorded\n",
    "* `hour` - the hour of the date\n",
    "* `day` - the day of the week of the given date\n",
    "* `name` - the name of the POI\n",
    "* `address` - the street address of the POI\n",
    "* `city` - the city of the POI\n",
    "* `region` - the region of the POI\n",
    "* `country` - the country of the POI\n",
    "* `device_ids` - a list of unique device IDs that were active in the given POI\n",
    "* `total_counts` - number or length of the given `device_ids`\n",
    "\n",
    "The dataset would loosely resemble the audience data we have seen from [09 - Set operations](./09-set-operations.ipynb). However, suppose we want to work out a process to perform a similar analysis without waiting for the actual data. We may be able to work with generated data using our understanding of the data schema."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dfb19106-6bf1-438f-bc87-1714e2ebe61f",
   "metadata": {},
   "source": [
    "## Random Device IDs\n",
    "\n",
    "Let's generate some random UUIDs ([Universally unique identifier](https://en.wikipedia.org/wiki/Universally_unique_identifier)) using the Python built-in [`uuid`](https://docs.python.org/3/library/uuid.html) module since the real-world device IDs are often similar in shape and by nature."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "94db8621-c2ab-4bc9-8588-07188a3b9830",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['aa98ead3-fba4-481e-8d90-1396f4e32c6b',\n",
       " '6ae75d08-9d76-4d30-9dbc-dd12112312b6',\n",
       " '12c8918e-ad98-4def-b87e-487a858f6da1',\n",
       " 'e49c49d1-724f-4064-9b7f-293067d5ac70',\n",
       " '9b4c6f52-97f0-4b04-91f9-f25c16163cff',\n",
       " 'd5c1366c-66ff-4cb1-b9ef-8113e01ba189',\n",
       " '7d906b01-77ed-4ff1-9d3d-9fcd0f32d933',\n",
       " 'ac5cc6cb-0576-4651-9d11-890bb2268533',\n",
       " '32272561-4722-487a-9942-73ec971495a1',\n",
       " 'c0ac1e5d-0ce1-4060-ac23-364e25d42721']"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from uuid import uuid4\n",
    "\n",
    "device_ids = []\n",
    "for _ in range(20_000):\n",
    "    device_ids.append(str(uuid4()))\n",
    "\n",
    "device_ids[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc67fd89-edd9-42ab-aa6d-97679a52d99d",
   "metadata": {},
   "source": [
    "To make it more realistic, the device IDs are often [hashed](https://en.wikipedia.org/wiki/One-way_function#Cryptographically_secure_hash_functions) as a privacy protective measure:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "670d86c9-ac92-495a-9e49-e7b074683a3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['6e191e6232daa58e5f1f5fccc70dd76337494b2c',\n",
       " 'f58db8438ad36a0099a7a37b0d2c4b19fc2a688e',\n",
       " '3b58d7042a5d3e407a18b28caf06f0456657d893',\n",
       " '5d5b1953a556fafe560234c05a72da3fad001d25',\n",
       " '66237c660d396dcb5de6489a46d323ad970da0e6',\n",
       " 'bee888283a8d45813ffb7d9927398a03feac5d4e',\n",
       " '953bc43f68904686723cc101d3b8849b9155d552',\n",
       " '9b7755996868204ec21efc1c6b635042125bf350',\n",
       " '23e0008ee90b405219a653bc491d1abc161fe908',\n",
       " 'd8061ca97e542e55cd618dc53c9faa753acff154']"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from hashlib import sha1\n",
    "\n",
    "device_ids = [sha1(x.encode()).hexdigest() for x in device_ids]\n",
    "device_ids[:10]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e7bc4ffa-9ec3-48f6-8640-92a210b781a3",
   "metadata": {},
   "source": [
    "## Random POIs\n",
    "\n",
    "Let's generate some POIs, starting with some fake company names and a randomly assigned number of locations per each:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "968c0086-b5a1-4ad5-b5ae-f11aa0baa3ac",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\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>name</th>\n",
       "      <th>locations</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dominguez, Goodwin and Reese</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Pham and Sons</td>\n",
       "      <td>448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Orr LLC</td>\n",
       "      <td>221</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Graves-Ellis</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Maddox-Sharp</td>\n",
       "      <td>367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Perez, Terrell and Dillon</td>\n",
       "      <td>226</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Thomas LLC</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Barr PLC</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Day LLC</td>\n",
       "      <td>416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>James-Sims</td>\n",
       "      <td>443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Stafford PLC</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Stewart-Houston</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Cooke-Davis</td>\n",
       "      <td>421</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            name  locations\n",
       "0   Dominguez, Goodwin and Reese         21\n",
       "1                  Pham and Sons        448\n",
       "2                        Orr LLC        221\n",
       "3                   Graves-Ellis         59\n",
       "4                   Maddox-Sharp        367\n",
       "5      Perez, Terrell and Dillon        226\n",
       "6                     Thomas LLC        160\n",
       "7                       Barr PLC         41\n",
       "8                        Day LLC        416\n",
       "9                     James-Sims        443\n",
       "10                  Stafford PLC        159\n",
       "11               Stewart-Houston         36\n",
       "12                   Cooke-Davis        421"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import random\n",
    "\n",
    "import pandas as pd\n",
    "from faker import Faker\n",
    "\n",
    "fake = Faker(['en_CA'])\n",
    "\n",
    "companies = pd.DataFrame([\n",
    "    {\n",
    "        'name': fake.company(),\n",
    "        'locations': random.randint(10, 500),\n",
    "    }\n",
    "    for _ in range(13)\n",
    "])\n",
    "companies"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03f86abe-1207-413f-8c3c-072aca975d59",
   "metadata": {},
   "source": [
    "Then we can build on top of the list of companies to generate some POIs using fake addresses:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "baf47e6f-90ef-496d-89eb-65e769304de7",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    }\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>name</th>\n",
       "      <th>address</th>\n",
       "      <th>city</th>\n",
       "      <th>region</th>\n",
       "      <th>postalcode</th>\n",
       "      <th>country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Dominguez, Goodwin and Reese</td>\n",
       "      <td>0323 Weiss Village</td>\n",
       "      <td>Kingburgh</td>\n",
       "      <td>NU</td>\n",
       "      <td>X6P3E3</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Dominguez, Goodwin and Reese</td>\n",
       "      <td>42337 Norton Road</td>\n",
       "      <td>Annettemouth</td>\n",
       "      <td>YT</td>\n",
       "      <td>Y2S 9M9</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Dominguez, Goodwin and Reese</td>\n",
       "      <td>13503 Mary Village</td>\n",
       "      <td>Williamport</td>\n",
       "      <td>AB</td>\n",
       "      <td>T9P6V5</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Dominguez, Goodwin and Reese</td>\n",
       "      <td>00334 Holder Course Apt. 204</td>\n",
       "      <td>Perezfort</td>\n",
       "      <td>AB</td>\n",
       "      <td>T3A9P2</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Dominguez, Goodwin and Reese</td>\n",
       "      <td>014 Hudson Lock Apt. 192</td>\n",
       "      <td>Baxterfurt</td>\n",
       "      <td>PE</td>\n",
       "      <td>C8K 6N9</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3013</th>\n",
       "      <td>Cooke-Davis</td>\n",
       "      <td>631 Murray Bypass Suite 789</td>\n",
       "      <td>New Nicoleberg</td>\n",
       "      <td>BC</td>\n",
       "      <td>V8G 6L1</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3014</th>\n",
       "      <td>Cooke-Davis</td>\n",
       "      <td>940 Karen Mount Suite 848</td>\n",
       "      <td>Lake James</td>\n",
       "      <td>NU</td>\n",
       "      <td>X9G5T1</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3015</th>\n",
       "      <td>Cooke-Davis</td>\n",
       "      <td>4720 Mays Cliff</td>\n",
       "      <td>North Ericchester</td>\n",
       "      <td>SK</td>\n",
       "      <td>S3P9X6</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3016</th>\n",
       "      <td>Cooke-Davis</td>\n",
       "      <td>0028 Matthew Forest</td>\n",
       "      <td>South Barbarastad</td>\n",
       "      <td>NS</td>\n",
       "      <td>B3J8P7</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3017</th>\n",
       "      <td>Cooke-Davis</td>\n",
       "      <td>4406 Tammy Overpass Apt. 095</td>\n",
       "      <td>East David</td>\n",
       "      <td>NB</td>\n",
       "      <td>E6N 6N7</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3018 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                              name                       address  \\\n",
       "0     Dominguez, Goodwin and Reese            0323 Weiss Village   \n",
       "1     Dominguez, Goodwin and Reese             42337 Norton Road   \n",
       "2     Dominguez, Goodwin and Reese            13503 Mary Village   \n",
       "3     Dominguez, Goodwin and Reese  00334 Holder Course Apt. 204   \n",
       "4     Dominguez, Goodwin and Reese      014 Hudson Lock Apt. 192   \n",
       "...                            ...                           ...   \n",
       "3013                   Cooke-Davis   631 Murray Bypass Suite 789   \n",
       "3014                   Cooke-Davis     940 Karen Mount Suite 848   \n",
       "3015                   Cooke-Davis               4720 Mays Cliff   \n",
       "3016                   Cooke-Davis           0028 Matthew Forest   \n",
       "3017                   Cooke-Davis  4406 Tammy Overpass Apt. 095   \n",
       "\n",
       "                   city region postalcode country  \n",
       "0             Kingburgh     NU     X6P3E3      CA  \n",
       "1          Annettemouth     YT    Y2S 9M9      CA  \n",
       "2           Williamport     AB     T9P6V5      CA  \n",
       "3             Perezfort     AB     T3A9P2      CA  \n",
       "4            Baxterfurt     PE    C8K 6N9      CA  \n",
       "...                 ...    ...        ...     ...  \n",
       "3013     New Nicoleberg     BC    V8G 6L1      CA  \n",
       "3014         Lake James     NU     X9G5T1      CA  \n",
       "3015  North Ericchester     SK     S3P9X6      CA  \n",
       "3016  South Barbarastad     NS     B3J8P7      CA  \n",
       "3017         East David     NB    E6N 6N7      CA  \n",
       "\n",
       "[3018 rows x 6 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pois = []\n",
    "\n",
    "for company in companies.itertuples():\n",
    "    for _ in range(company.locations):\n",
    "        address = fake.street_address()\n",
    "        city = fake.city()\n",
    "        region = fake.province_abbr()\n",
    "        postalcode = fake.postcode_in_province(region)\n",
    "        pois.append({\n",
    "            'name': company.name,\n",
    "            'address': address,\n",
    "            'city': city,\n",
    "            'region': region,\n",
    "            'postalcode': postalcode,\n",
    "            'country': 'CA',\n",
    "        })\n",
    "\n",
    "pois = pd.DataFrame(pois)\n",
    "pois"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c9454994-e701-401e-b9d5-4ecb062f6448",
   "metadata": {},
   "source": [
    "Finally, we can generate a series of audience activities between a date range, such as the whole month of 2021 May, at an hourly frequency, and only during weekdays and the conventional work hours.\n",
    "\n",
    "We also want to randomly distribute the pool of previously generated device IDs to each activity record.\n",
    "\n",
    "This process can be slow, so we'll use the Jupyter Notebook cell-level magic `%%time` to reveal to us how long it takes:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "84e40cc9-dd04-4e69-9829-c23aa6976aa4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 31.4 s, sys: 313 ms, total: 31.8 s\n",
      "Wall time: 31.8 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "# generate \"audience\" activity between designated date range among ^ POIs\n",
    "audiences = []\n",
    "for row in pois.itertuples():\n",
    "    # generate hourly date range for a week\n",
    "    for dt in pd.date_range(start='2021-05-01', end='2021-05-31', freq='H'):\n",
    "        if dt.strftime('%A') in ['Saturday', 'Sunday']:\n",
    "            continue\n",
    "\n",
    "        if dt.strftime('%-H') not in [str(i) for i in range(9, 22)]:\n",
    "            continue\n",
    "\n",
    "        _ids = random.sample(device_ids, random.randint(1, 5))\n",
    "        audiences.append({\n",
    "            'total_counts': len(_ids),\n",
    "            'device_ids': _ids,\n",
    "            'hour': dt.strftime('%H'),\n",
    "            'day': dt.strftime('%A'),\n",
    "            'date': dt.strftime('%Y%m%d'),\n",
    "            'name': row.name,\n",
    "            'address': row.address,\n",
    "            'city': row.city,\n",
    "            'region': row.region,\n",
    "            'country': row.country,\n",
    "        })"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e3bbd09-60da-4011-a724-33b24ba753f8",
   "metadata": {},
   "source": [
    "Load the generated audience activities into a Pandas `DataFrame`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "93fb7a88-f799-4bb5-a009-39de757fff3f",
   "metadata": {},
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>total_counts</th>\n",
       "      <th>device_ids</th>\n",
       "      <th>hour</th>\n",
       "      <th>day</th>\n",
       "      <th>date</th>\n",
       "      <th>name</th>\n",
       "      <th>address</th>\n",
       "      <th>city</th>\n",
       "      <th>region</th>\n",
       "      <th>country</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4</td>\n",
       "      <td>[238f7f607e4b780de7604738e8e51e52ab4485d3, 6d6...</td>\n",
       "      <td>09</td>\n",
       "      <td>Monday</td>\n",
       "      <td>20210503</td>\n",
       "      <td>Dominguez, Goodwin and Reese</td>\n",
       "      <td>0323 Weiss Village</td>\n",
       "      <td>Kingburgh</td>\n",
       "      <td>NU</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5</td>\n",
       "      <td>[e421d5856caf05b9bbaaf985aeb9c08052e7be65, 678...</td>\n",
       "      <td>10</td>\n",
       "      <td>Monday</td>\n",
       "      <td>20210503</td>\n",
       "      <td>Dominguez, Goodwin and Reese</td>\n",
       "      <td>0323 Weiss Village</td>\n",
       "      <td>Kingburgh</td>\n",
       "      <td>NU</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5</td>\n",
       "      <td>[b4ab83970a59b849322c121541937da1363aaeee, 482...</td>\n",
       "      <td>11</td>\n",
       "      <td>Monday</td>\n",
       "      <td>20210503</td>\n",
       "      <td>Dominguez, Goodwin and Reese</td>\n",
       "      <td>0323 Weiss Village</td>\n",
       "      <td>Kingburgh</td>\n",
       "      <td>NU</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>[758e311521123f50cf0d1918a0e0e68ed7bff7ce]</td>\n",
       "      <td>12</td>\n",
       "      <td>Monday</td>\n",
       "      <td>20210503</td>\n",
       "      <td>Dominguez, Goodwin and Reese</td>\n",
       "      <td>0323 Weiss Village</td>\n",
       "      <td>Kingburgh</td>\n",
       "      <td>NU</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>[db8e36d681fff0a37411b27680dbc0984c743a87, 9ca...</td>\n",
       "      <td>13</td>\n",
       "      <td>Monday</td>\n",
       "      <td>20210503</td>\n",
       "      <td>Dominguez, Goodwin and Reese</td>\n",
       "      <td>0323 Weiss Village</td>\n",
       "      <td>Kingburgh</td>\n",
       "      <td>NU</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
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       "    <tr>\n",
       "      <th>784675</th>\n",
       "      <td>2</td>\n",
       "      <td>[1978e9e38ed212649915b24dc846b030c9e5bbdb, 3af...</td>\n",
       "      <td>17</td>\n",
       "      <td>Friday</td>\n",
       "      <td>20210528</td>\n",
       "      <td>Cooke-Davis</td>\n",
       "      <td>4406 Tammy Overpass Apt. 095</td>\n",
       "      <td>East David</td>\n",
       "      <td>NB</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>784676</th>\n",
       "      <td>3</td>\n",
       "      <td>[829ed1d343c4d26740834be3757fa77eb2a9faff, d18...</td>\n",
       "      <td>18</td>\n",
       "      <td>Friday</td>\n",
       "      <td>20210528</td>\n",
       "      <td>Cooke-Davis</td>\n",
       "      <td>4406 Tammy Overpass Apt. 095</td>\n",
       "      <td>East David</td>\n",
       "      <td>NB</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>784677</th>\n",
       "      <td>1</td>\n",
       "      <td>[a9537edb2aab08c1b1698d40d112cc6e63e04304]</td>\n",
       "      <td>19</td>\n",
       "      <td>Friday</td>\n",
       "      <td>20210528</td>\n",
       "      <td>Cooke-Davis</td>\n",
       "      <td>4406 Tammy Overpass Apt. 095</td>\n",
       "      <td>East David</td>\n",
       "      <td>NB</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>784678</th>\n",
       "      <td>4</td>\n",
       "      <td>[217f26bdd0cf6cdc04999d00cde11e5f8aed08e3, e56...</td>\n",
       "      <td>20</td>\n",
       "      <td>Friday</td>\n",
       "      <td>20210528</td>\n",
       "      <td>Cooke-Davis</td>\n",
       "      <td>4406 Tammy Overpass Apt. 095</td>\n",
       "      <td>East David</td>\n",
       "      <td>NB</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>784679</th>\n",
       "      <td>1</td>\n",
       "      <td>[e8e1e30716a1351aae4f0fdf1abc0bcced69ce9f]</td>\n",
       "      <td>21</td>\n",
       "      <td>Friday</td>\n",
       "      <td>20210528</td>\n",
       "      <td>Cooke-Davis</td>\n",
       "      <td>4406 Tammy Overpass Apt. 095</td>\n",
       "      <td>East David</td>\n",
       "      <td>NB</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>784680 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        total_counts                                         device_ids hour  \\\n",
       "0                  4  [238f7f607e4b780de7604738e8e51e52ab4485d3, 6d6...   09   \n",
       "1                  5  [e421d5856caf05b9bbaaf985aeb9c08052e7be65, 678...   10   \n",
       "2                  5  [b4ab83970a59b849322c121541937da1363aaeee, 482...   11   \n",
       "3                  1         [758e311521123f50cf0d1918a0e0e68ed7bff7ce]   12   \n",
       "4                  4  [db8e36d681fff0a37411b27680dbc0984c743a87, 9ca...   13   \n",
       "...              ...                                                ...  ...   \n",
       "784675             2  [1978e9e38ed212649915b24dc846b030c9e5bbdb, 3af...   17   \n",
       "784676             3  [829ed1d343c4d26740834be3757fa77eb2a9faff, d18...   18   \n",
       "784677             1         [a9537edb2aab08c1b1698d40d112cc6e63e04304]   19   \n",
       "784678             4  [217f26bdd0cf6cdc04999d00cde11e5f8aed08e3, e56...   20   \n",
       "784679             1         [e8e1e30716a1351aae4f0fdf1abc0bcced69ce9f]   21   \n",
       "\n",
       "           day      date                          name  \\\n",
       "0       Monday  20210503  Dominguez, Goodwin and Reese   \n",
       "1       Monday  20210503  Dominguez, Goodwin and Reese   \n",
       "2       Monday  20210503  Dominguez, Goodwin and Reese   \n",
       "3       Monday  20210503  Dominguez, Goodwin and Reese   \n",
       "4       Monday  20210503  Dominguez, Goodwin and Reese   \n",
       "...        ...       ...                           ...   \n",
       "784675  Friday  20210528                   Cooke-Davis   \n",
       "784676  Friday  20210528                   Cooke-Davis   \n",
       "784677  Friday  20210528                   Cooke-Davis   \n",
       "784678  Friday  20210528                   Cooke-Davis   \n",
       "784679  Friday  20210528                   Cooke-Davis   \n",
       "\n",
       "                             address        city region country  \n",
       "0                 0323 Weiss Village   Kingburgh     NU      CA  \n",
       "1                 0323 Weiss Village   Kingburgh     NU      CA  \n",
       "2                 0323 Weiss Village   Kingburgh     NU      CA  \n",
       "3                 0323 Weiss Village   Kingburgh     NU      CA  \n",
       "4                 0323 Weiss Village   Kingburgh     NU      CA  \n",
       "...                              ...         ...    ...     ...  \n",
       "784675  4406 Tammy Overpass Apt. 095  East David     NB      CA  \n",
       "784676  4406 Tammy Overpass Apt. 095  East David     NB      CA  \n",
       "784677  4406 Tammy Overpass Apt. 095  East David     NB      CA  \n",
       "784678  4406 Tammy Overpass Apt. 095  East David     NB      CA  \n",
       "784679  4406 Tammy Overpass Apt. 095  East David     NB      CA  \n",
       "\n",
       "[784680 rows x 10 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.DataFrame(audiences)\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "66f02481-2d80-427b-9b02-9f00b72fe7c4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "count    784680.000000\n",
       "mean          2.997808\n",
       "std           1.413887\n",
       "min           1.000000\n",
       "25%           2.000000\n",
       "50%           3.000000\n",
       "75%           4.000000\n",
       "max           5.000000\n",
       "Name: total_counts, dtype: float64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.total_counts.describe()  # a probable indicator of generated data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d865fb9b-7bbc-4bf0-91ff-74216535b70c",
   "metadata": {},
   "source": [
    "The statistical description reveals a probable indicator of [(pseudo-)randomly](https://en.wikipedia.org/wiki/Pseudorandomness) generated dataset given its near-perfect _mean_ and _percentile distribution_.\n",
    "\n",
    "The next steps follow the trace of [09 - Set operations](./09-set-operations.ipynb)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "c7568915-e1b5-4c7c-a39b-7b1091abc568",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>Cooke-Davis</td>\n",
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       "      <td>Friday</td>\n",
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       "      <td>Cooke-Davis</td>\n",
       "      <td>4406 Tammy Overpass Apt. 095</td>\n",
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       "      <td>NB</td>\n",
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      ],
      "text/plain": [
       "                                       device_ids hour     day      date  \\\n",
       "0        238f7f607e4b780de7604738e8e51e52ab4485d3   09  Monday  20210503   \n",
       "1        6d6daf104179683abf25ca2cdc6d3d006190dd8d   09  Monday  20210503   \n",
       "2        e284d6634d46f2aa2b6df50bae9b1ef123bfe4a1   09  Monday  20210503   \n",
       "3        572a8f0847425fb2e002a32751c3cb64acc2c366   09  Monday  20210503   \n",
       "4        e421d5856caf05b9bbaaf985aeb9c08052e7be65   10  Monday  20210503   \n",
       "...                                           ...  ...     ...       ...   \n",
       "2352315  217f26bdd0cf6cdc04999d00cde11e5f8aed08e3   20  Friday  20210528   \n",
       "2352316  e56e7bf845c0bc96af0b939d6ed2dd4cabfd7fee   20  Friday  20210528   \n",
       "2352317  61d2fdc59408b3d47f5a84bed0893f3f222f7aaa   20  Friday  20210528   \n",
       "2352318  c080ee6f8d49aa8a02a50e77ca50e523734b65d9   20  Friday  20210528   \n",
       "2352319  e8e1e30716a1351aae4f0fdf1abc0bcced69ce9f   21  Friday  20210528   \n",
       "\n",
       "                                 name                       address  \\\n",
       "0        Dominguez, Goodwin and Reese            0323 Weiss Village   \n",
       "1        Dominguez, Goodwin and Reese            0323 Weiss Village   \n",
       "2        Dominguez, Goodwin and Reese            0323 Weiss Village   \n",
       "3        Dominguez, Goodwin and Reese            0323 Weiss Village   \n",
       "4        Dominguez, Goodwin and Reese            0323 Weiss Village   \n",
       "...                               ...                           ...   \n",
       "2352315                   Cooke-Davis  4406 Tammy Overpass Apt. 095   \n",
       "2352316                   Cooke-Davis  4406 Tammy Overpass Apt. 095   \n",
       "2352317                   Cooke-Davis  4406 Tammy Overpass Apt. 095   \n",
       "2352318                   Cooke-Davis  4406 Tammy Overpass Apt. 095   \n",
       "2352319                   Cooke-Davis  4406 Tammy Overpass Apt. 095   \n",
       "\n",
       "               city region country  \n",
       "0         Kingburgh     NU      CA  \n",
       "1         Kingburgh     NU      CA  \n",
       "2         Kingburgh     NU      CA  \n",
       "3         Kingburgh     NU      CA  \n",
       "4         Kingburgh     NU      CA  \n",
       "...             ...    ...     ...  \n",
       "2352315  East David     NB      CA  \n",
       "2352316  East David     NB      CA  \n",
       "2352317  East David     NB      CA  \n",
       "2352318  East David     NB      CA  \n",
       "2352319  East David     NB      CA  \n",
       "\n",
       "[2352320 rows x 9 columns]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exp = df.explode('device_ids').drop('total_counts', axis=1).reset_index(drop=True)\n",
    "exp"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c74eeb01-fa69-422c-ae3b-9967d1f50f68",
   "metadata": {},
   "source": [
    "Since the device IDs were randomly distributed across activities, and given the sample size, it's likely for us to encounter duplicates:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "272a77ce-35c5-4c50-aeed-33c645666039",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>09</td>\n",
       "      <td>Monday</td>\n",
       "      <td>20210503</td>\n",
       "      <td>Dominguez, Goodwin and Reese</td>\n",
       "      <td>0323 Weiss Village</td>\n",
       "      <td>Kingburgh</td>\n",
       "      <td>NU</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6d6daf104179683abf25ca2cdc6d3d006190dd8d</td>\n",
       "      <td>09</td>\n",
       "      <td>Monday</td>\n",
       "      <td>20210503</td>\n",
       "      <td>Dominguez, Goodwin and Reese</td>\n",
       "      <td>0323 Weiss Village</td>\n",
       "      <td>Kingburgh</td>\n",
       "      <td>NU</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>e284d6634d46f2aa2b6df50bae9b1ef123bfe4a1</td>\n",
       "      <td>09</td>\n",
       "      <td>Monday</td>\n",
       "      <td>20210503</td>\n",
       "      <td>Dominguez, Goodwin and Reese</td>\n",
       "      <td>0323 Weiss Village</td>\n",
       "      <td>Kingburgh</td>\n",
       "      <td>NU</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>572a8f0847425fb2e002a32751c3cb64acc2c366</td>\n",
       "      <td>09</td>\n",
       "      <td>Monday</td>\n",
       "      <td>20210503</td>\n",
       "      <td>Dominguez, Goodwin and Reese</td>\n",
       "      <td>0323 Weiss Village</td>\n",
       "      <td>Kingburgh</td>\n",
       "      <td>NU</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>67851560770ff21b1a6c2f963591536c69e07f3b</td>\n",
       "      <td>10</td>\n",
       "      <td>Monday</td>\n",
       "      <td>20210503</td>\n",
       "      <td>Dominguez, Goodwin and Reese</td>\n",
       "      <td>0323 Weiss Village</td>\n",
       "      <td>Kingburgh</td>\n",
       "      <td>NU</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2352315</th>\n",
       "      <td>217f26bdd0cf6cdc04999d00cde11e5f8aed08e3</td>\n",
       "      <td>20</td>\n",
       "      <td>Friday</td>\n",
       "      <td>20210528</td>\n",
       "      <td>Cooke-Davis</td>\n",
       "      <td>4406 Tammy Overpass Apt. 095</td>\n",
       "      <td>East David</td>\n",
       "      <td>NB</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2352316</th>\n",
       "      <td>e56e7bf845c0bc96af0b939d6ed2dd4cabfd7fee</td>\n",
       "      <td>20</td>\n",
       "      <td>Friday</td>\n",
       "      <td>20210528</td>\n",
       "      <td>Cooke-Davis</td>\n",
       "      <td>4406 Tammy Overpass Apt. 095</td>\n",
       "      <td>East David</td>\n",
       "      <td>NB</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2352317</th>\n",
       "      <td>61d2fdc59408b3d47f5a84bed0893f3f222f7aaa</td>\n",
       "      <td>20</td>\n",
       "      <td>Friday</td>\n",
       "      <td>20210528</td>\n",
       "      <td>Cooke-Davis</td>\n",
       "      <td>4406 Tammy Overpass Apt. 095</td>\n",
       "      <td>East David</td>\n",
       "      <td>NB</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2352318</th>\n",
       "      <td>c080ee6f8d49aa8a02a50e77ca50e523734b65d9</td>\n",
       "      <td>20</td>\n",
       "      <td>Friday</td>\n",
       "      <td>20210528</td>\n",
       "      <td>Cooke-Davis</td>\n",
       "      <td>4406 Tammy Overpass Apt. 095</td>\n",
       "      <td>East David</td>\n",
       "      <td>NB</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2352319</th>\n",
       "      <td>e8e1e30716a1351aae4f0fdf1abc0bcced69ce9f</td>\n",
       "      <td>21</td>\n",
       "      <td>Friday</td>\n",
       "      <td>20210528</td>\n",
       "      <td>Cooke-Davis</td>\n",
       "      <td>4406 Tammy Overpass Apt. 095</td>\n",
       "      <td>East David</td>\n",
       "      <td>NB</td>\n",
       "      <td>CA</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1891597 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                       device_ids hour     day      date  \\\n",
       "0        238f7f607e4b780de7604738e8e51e52ab4485d3   09  Monday  20210503   \n",
       "1        6d6daf104179683abf25ca2cdc6d3d006190dd8d   09  Monday  20210503   \n",
       "2        e284d6634d46f2aa2b6df50bae9b1ef123bfe4a1   09  Monday  20210503   \n",
       "3        572a8f0847425fb2e002a32751c3cb64acc2c366   09  Monday  20210503   \n",
       "5        67851560770ff21b1a6c2f963591536c69e07f3b   10  Monday  20210503   \n",
       "...                                           ...  ...     ...       ...   \n",
       "2352315  217f26bdd0cf6cdc04999d00cde11e5f8aed08e3   20  Friday  20210528   \n",
       "2352316  e56e7bf845c0bc96af0b939d6ed2dd4cabfd7fee   20  Friday  20210528   \n",
       "2352317  61d2fdc59408b3d47f5a84bed0893f3f222f7aaa   20  Friday  20210528   \n",
       "2352318  c080ee6f8d49aa8a02a50e77ca50e523734b65d9   20  Friday  20210528   \n",
       "2352319  e8e1e30716a1351aae4f0fdf1abc0bcced69ce9f   21  Friday  20210528   \n",
       "\n",
       "                                 name                       address  \\\n",
       "0        Dominguez, Goodwin and Reese            0323 Weiss Village   \n",
       "1        Dominguez, Goodwin and Reese            0323 Weiss Village   \n",
       "2        Dominguez, Goodwin and Reese            0323 Weiss Village   \n",
       "3        Dominguez, Goodwin and Reese            0323 Weiss Village   \n",
       "5        Dominguez, Goodwin and Reese            0323 Weiss Village   \n",
       "...                               ...                           ...   \n",
       "2352315                   Cooke-Davis  4406 Tammy Overpass Apt. 095   \n",
       "2352316                   Cooke-Davis  4406 Tammy Overpass Apt. 095   \n",
       "2352317                   Cooke-Davis  4406 Tammy Overpass Apt. 095   \n",
       "2352318                   Cooke-Davis  4406 Tammy Overpass Apt. 095   \n",
       "2352319                   Cooke-Davis  4406 Tammy Overpass Apt. 095   \n",
       "\n",
       "               city region country  \n",
       "0         Kingburgh     NU      CA  \n",
       "1         Kingburgh     NU      CA  \n",
       "2         Kingburgh     NU      CA  \n",
       "3         Kingburgh     NU      CA  \n",
       "5         Kingburgh     NU      CA  \n",
       "...             ...    ...     ...  \n",
       "2352315  East David     NB      CA  \n",
       "2352316  East David     NB      CA  \n",
       "2352317  East David     NB      CA  \n",
       "2352318  East David     NB      CA  \n",
       "2352319  East David     NB      CA  \n",
       "\n",
       "[1891597 rows x 9 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dedupe = exp.drop_duplicates(subset=['device_ids', 'hour', 'date'], keep='last')  # get rid of ppl with TARDIS\n",
    "dedupe"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "1b03380d-c6f9-40d7-8ad2-b52ec7cded81",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>day</th>\n",
       "      <th>hour</th>\n",
       "      <th>device_ids</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Barr PLC</td>\n",
       "      <td>Friday</td>\n",
       "      <td>09</td>\n",
       "      <td>406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Barr PLC</td>\n",
       "      <td>Friday</td>\n",
       "      <td>10</td>\n",
       "      <td>379</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Barr PLC</td>\n",
       "      <td>Friday</td>\n",
       "      <td>11</td>\n",
       "      <td>393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Barr PLC</td>\n",
       "      <td>Friday</td>\n",
       "      <td>12</td>\n",
       "      <td>432</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Barr PLC</td>\n",
       "      <td>Friday</td>\n",
       "      <td>13</td>\n",
       "      <td>389</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>840</th>\n",
       "      <td>Thomas LLC</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>17</td>\n",
       "      <td>1493</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>841</th>\n",
       "      <td>Thomas LLC</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>18</td>\n",
       "      <td>1568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>842</th>\n",
       "      <td>Thomas LLC</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>19</td>\n",
       "      <td>1555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>843</th>\n",
       "      <td>Thomas LLC</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>20</td>\n",
       "      <td>1491</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>844</th>\n",
       "      <td>Thomas LLC</td>\n",
       "      <td>Wednesday</td>\n",
       "      <td>21</td>\n",
       "      <td>1562</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>845 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           name        day hour  device_ids\n",
       "0      Barr PLC     Friday   09         406\n",
       "1      Barr PLC     Friday   10         379\n",
       "2      Barr PLC     Friday   11         393\n",
       "3      Barr PLC     Friday   12         432\n",
       "4      Barr PLC     Friday   13         389\n",
       "..          ...        ...  ...         ...\n",
       "840  Thomas LLC  Wednesday   17        1493\n",
       "841  Thomas LLC  Wednesday   18        1568\n",
       "842  Thomas LLC  Wednesday   19        1555\n",
       "843  Thomas LLC  Wednesday   20        1491\n",
       "844  Thomas LLC  Wednesday   21        1562\n",
       "\n",
       "[845 rows x 4 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "gb = dedupe.groupby(['name', 'day', 'hour'], as_index=False).agg({'device_ids': 'count'})\n",
    "gb"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "32709481-e7fe-4d2f-9c42-06b3fb7ad7c5",
   "metadata": {},
   "source": [
    "Since the dataset was a random generation, there is no definitive list of POI company names.\n",
    "\n",
    "To make this entire process rerunnable, we resort to using random choice among the generated list of company names:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "cd17b874-707e-49ac-af6d-17ad3ca08c2f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Stafford PLC'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "names = gb['name'].unique().tolist()\n",
    "name = random.choice(names)\n",
    "name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "131c6027-6806-4842-8b31-3f7d60e67943",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\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>hour</th>\n",
       "      <th>09</th>\n",
       "      <th>10</th>\n",
       "      <th>11</th>\n",
       "      <th>12</th>\n",
       "      <th>13</th>\n",
       "      <th>14</th>\n",
       "      <th>15</th>\n",
       "      <th>16</th>\n",
       "      <th>17</th>\n",
       "      <th>18</th>\n",
       "      <th>19</th>\n",
       "      <th>20</th>\n",
       "      <th>21</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>day</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Friday</th>\n",
       "      <td>1740</td>\n",
       "      <td>1706</td>\n",
       "      <td>1702</td>\n",
       "      <td>1760</td>\n",
       "      <td>1759</td>\n",
       "      <td>1764</td>\n",
       "      <td>1732</td>\n",
       "      <td>1687</td>\n",
       "      <td>1757</td>\n",
       "      <td>1815</td>\n",
       "      <td>1793</td>\n",
       "      <td>1780</td>\n",
       "      <td>1825</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Monday</th>\n",
       "      <td>1710</td>\n",
       "      <td>1757</td>\n",
       "      <td>1787</td>\n",
       "      <td>1784</td>\n",
       "      <td>1761</td>\n",
       "      <td>1743</td>\n",
       "      <td>1762</td>\n",
       "      <td>1746</td>\n",
       "      <td>1768</td>\n",
       "      <td>1699</td>\n",
       "      <td>1770</td>\n",
       "      <td>1733</td>\n",
       "      <td>1767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Thursday</th>\n",
       "      <td>1710</td>\n",
       "      <td>1742</td>\n",
       "      <td>1794</td>\n",
       "      <td>1790</td>\n",
       "      <td>1741</td>\n",
       "      <td>1712</td>\n",
       "      <td>1705</td>\n",
       "      <td>1705</td>\n",
       "      <td>1771</td>\n",
       "      <td>1762</td>\n",
       "      <td>1743</td>\n",
       "      <td>1775</td>\n",
       "      <td>1785</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Tuesday</th>\n",
       "      <td>1737</td>\n",
       "      <td>1779</td>\n",
       "      <td>1771</td>\n",
       "      <td>1800</td>\n",
       "      <td>1784</td>\n",
       "      <td>1752</td>\n",
       "      <td>1696</td>\n",
       "      <td>1801</td>\n",
       "      <td>1821</td>\n",
       "      <td>1758</td>\n",
       "      <td>1753</td>\n",
       "      <td>1771</td>\n",
       "      <td>1751</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wednesday</th>\n",
       "      <td>1733</td>\n",
       "      <td>1758</td>\n",
       "      <td>1703</td>\n",
       "      <td>1784</td>\n",
       "      <td>1770</td>\n",
       "      <td>1717</td>\n",
       "      <td>1801</td>\n",
       "      <td>1786</td>\n",
       "      <td>1738</td>\n",
       "      <td>1797</td>\n",
       "      <td>1761</td>\n",
       "      <td>1747</td>\n",
       "      <td>1762</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "hour         09    10    11    12    13    14    15    16    17    18    19  \\\n",
       "day                                                                           \n",
       "Friday     1740  1706  1702  1760  1759  1764  1732  1687  1757  1815  1793   \n",
       "Monday     1710  1757  1787  1784  1761  1743  1762  1746  1768  1699  1770   \n",
       "Thursday   1710  1742  1794  1790  1741  1712  1705  1705  1771  1762  1743   \n",
       "Tuesday    1737  1779  1771  1800  1784  1752  1696  1801  1821  1758  1753   \n",
       "Wednesday  1733  1758  1703  1784  1770  1717  1801  1786  1738  1797  1761   \n",
       "\n",
       "hour         20    21  \n",
       "day                    \n",
       "Friday     1780  1825  \n",
       "Monday     1733  1767  \n",
       "Thursday   1775  1785  \n",
       "Tuesday    1771  1751  \n",
       "Wednesday  1747  1762  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pv = gb[gb['name'] == name].pivot('day', 'hour', 'device_ids')\n",
    "pv"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "289f05e7-1ecd-40e7-b2df-0bf5c25341b0",
   "metadata": {},
   "source": [
    "Visualization time:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8c66958d-d27b-4211-830e-bd8077b3561e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plot\n",
    "import seaborn as sns\n",
    "\n",
    "_, ax = plot.subplots(figsize=(30, 5))\n",
    "heatmap = sns.heatmap(pv, annot=True, fmt='.0f', cmap='viridis', linecolor='white', linewidths='0.5', ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "66047185-1f95-45a9-9cff-d232e1eeaf71",
   "metadata": {},
   "source": [
    "The order of the day values seem a bit unorthodox, let's fix it with a [Pandas categorical](https://pandas.pydata.org/pandas-docs/stable/user_guide/categorical.html) object:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "5775fa06-d15b-4196-b767-58bd384e5134",
   "metadata": {},
   "outputs": [],
   "source": [
    "dedupe = dedupe.copy()\n",
    "dedupe.day = pd.Categorical(dedupe.day, categories=['Monday', 'Tuesday', 'Wednesday', 'Thursday', 'Friday'], ordered=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "5c1de457-c25f-42a8-8132-9d2fa7c024cb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# rerun the previous routine\n",
    "gb = dedupe.groupby(['name', 'day', 'hour'], as_index=False).agg({'device_ids': 'count'})\n",
    "pv = gb[gb['name'] == name].pivot('day', 'hour', 'device_ids')\n",
    "_, ax = plot.subplots(figsize=(30, 5))\n",
    "heatmap = sns.heatmap(pv, annot=True, fmt='.0f', cmap='viridis', linecolor='white', linewidths='0.5', ax=ax)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "da8f5bca-51da-4584-8f9e-e0b082d9868e",
   "metadata": {},
   "source": [
    "Abstract the visualization logic into a function:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "33dc0213-747b-4f97-a3c5-4949d73318f7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "def heatmap(df, col, col_val):\n",
    "    gb = df.groupby([col, 'day', 'hour'], as_index=False).agg({'device_ids': 'count'})\n",
    "    pv = gb[gb[col] == col_val].pivot('day', 'hour', 'device_ids')\n",
    "    _, ax = plot.subplots(figsize=(30, 5))\n",
    "    sns.heatmap(pv, annot=True, fmt='.0f', cmap='viridis', linecolor='white', linewidths='0.5', ax=ax)\n",
    "\n",
    "heatmap(dedupe, 'region', 'ON')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0ee67064-94c9-4371-a3b5-84146f53f5be",
   "metadata": {},
   "source": [
    "Apply visualization function through an interactive widget:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "1836115e-b574-449d-b9e3-92d514db56c2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "46f5ef29b56b42b48c19920a3afc0f60",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='name', options=('Dominguez, Goodwin and Reese', 'Pham and Sons', '…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import ipywidgets as widgets\n",
    "\n",
    "def heatmap_val(name):\n",
    "    return heatmap(dedupe, 'name', name)\n",
    "\n",
    "i = widgets.interact(heatmap_val, name=dedupe.name.unique().tolist())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b39fbf7d-752a-4c16-ab08-d7cfc3f27276",
   "metadata": {},
   "source": [
    "Or even a nested interactive widget of widgets:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "392f8d94-9361-4508-8183-07464bddbd91",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "4acd040e161e4c50a8e6ca78f82dfe8c",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='col', options=('name', 'region'), value='name'), Output()), _dom_c…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def heatmap_col(col):\n",
    "\n",
    "    def heatmap_val(val):\n",
    "        return heatmap(dedupe, col, val)\n",
    "\n",
    "    widgets.interact(heatmap_val, val=dedupe[col].unique().tolist())\n",
    "\n",
    "i = widgets.interact(heatmap_col, col=['name', 'region'])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ef633ea2-385d-4993-b7b7-bb6fd4a752fc",
   "metadata": {},
   "source": [
    "Revise the visualization function to work with multiple dimensions in one pass:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "85b6e63c-6e92-4ea0-a944-42c0ea40ac7f",
   "metadata": {},
   "outputs": [],
   "source": [
    "def heatmap_2(df, region = None, name = None):\n",
    "    cols = []\n",
    "    conditions = []\n",
    "    if region and region != 'ALL':\n",
    "        cols.append('region')\n",
    "        conditions.append(f'region == \"{region}\"')\n",
    "    if name and name != 'ALL':\n",
    "        cols.append('name')\n",
    "        conditions.append(f'name == \"{name}\"')\n",
    "\n",
    "    conditions = ' & '.join(conditions)\n",
    "    if conditions:\n",
    "        df = df.query(conditions)\n",
    "    \n",
    "    gb = df.groupby(['day', 'hour'], as_index=False).agg({'device_ids': 'count'})\n",
    "    pv = gb.pivot('day', 'hour', 'device_ids')\n",
    "    _, ax = plot.subplots(figsize=(30, 5))\n",
    "    sns.heatmap(pv, annot=True, fmt='.0f', cmap='viridis', linecolor='white', linewidths='0.5', ax=ax)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "ecec553a-964b-4447-9bc0-df00f7c14aa6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "heatmap_2(dedupe, region='ALL', name='ALL')  # same as without region and name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "3d9322ed-922a-4dce-8adc-8c8ad7265846",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "heatmap_2(dedupe, region='ON')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "ad6680cd-317c-4e0e-919d-1e33b864418a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Stewart-Houston\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "name = random.choice(dedupe.name.unique().tolist())\n",
    "print(name)\n",
    "heatmap_2(dedupe, name=name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "2938609b-3efd-4208-aa37-2aa8184236f7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "region: PE, name: Barr PLC\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x360 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "region = random.choice(dedupe.region.unique().tolist())\n",
    "name = random.choice(dedupe.name.unique().tolist())\n",
    "print(f'region: {region}, name: {name}')\n",
    "heatmap_2(dedupe, region=region, name=name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "abf20c25-3513-4d8e-b7cf-5e49f3ed6285",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "28ddc5d926ea4246a9de43cdaa25e103",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "interactive(children=(Dropdown(description='region', options=('ALL', 'NU', 'YT', 'AB', 'PE', 'NT', 'MB', 'QC',…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def heatmap_rn(region, name):\n",
    "    return heatmap_2(dedupe, region, name)\n",
    "\n",
    "i = widgets.interact(\n",
    "    heatmap_rn,\n",
    "    region=['ALL', *dedupe.region.unique().tolist()],\n",
    "    name=['ALL', *dedupe.name.unique().tolist()],\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ba60d434-b6cc-43fb-b178-8a9f911bb01c",
   "metadata": {},
   "source": [
    "## Remarks\n",
    "\n",
    "With a good understanding of the anticipated data schema, we can leverage generative techniques to:\n",
    "* Unblock ourselves from idle-waiting for the actual data delivery\n",
    "* Extend the volume and often statistical comprehensiveness of the data\n",
    "* Revise data analysis processes to become more robust\n",
    "\n",
    "## References\n",
    "\n",
    "* Python built-in [random](https://docs.python.org/3/library/random.html) and [uuid](https://docs.python.org/3/library/uuid.html) modules\n",
    "* [Faker](https://github.com/joke2k/faker) package\n",
    "* [09 - Set operations](./09-set-operations.ipynb) and [10 - Bridging Web UI into Notebooks](10-bridging-web-ui-to-notebook.ipynb)"
   ]
  }
 ],
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