03_Actian-Vector-Data-Visualization.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
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   "source": [
    "# 1.0. Connecting\n",
    "## 1.1. Connect to Actian Vector using turbodbc\n",
    "The [`turbodbc`](https://github.com/blue-yonder/turbodbc) library is a turbo-charged ODBC driver designed as a DBAPI2 compatible Python library. It can connect to any ODBC datasource. We will attempt to connect to the `ontimedb` database using it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Output: [165892051]\n"
     ]
    }
   ],
   "source": [
    "import turbodbc as odbc\n",
    "\n",
    "# Connect to the imported data set\n",
    "conn = odbc.connect('ontimedb')\n",
    "# Create a cursor \n",
    "cursor = conn.cursor()\n",
    "# Execute a sample query\n",
    "cursor.execute('SELECT count(*) FROM ontime')\n",
    "# Display the query result\n",
    "print('Output:', cursor.fetchone())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1.2. Connect to Actian Vector using pandas\n",
    "Next up, we will verify that we can successfully connect to, and query the `ontimedb` database from `pandas` using the  `turbodbc` connection we established earlier. We will use the same query as above except this time, we will time how long it takes to complete."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 1.27 s, sys: 300 ms, total: 1.57 s\n",
      "Wall time: 1.63 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "import pandas as pd\n",
    "s = ('SELECT count(*) FROM ontime')\n",
    "q1 = pd.read_sql(s, conn)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2.0. Querying\n",
    "## 2.1. Sample Queries\n",
    "Actian Vector published several [sample queries](http://docs.actian.com/vector/AWS/index.html#page/GetStart%2FMoreSampleQueries.htm%23) that can be used to explore the data set. In fact, the first query we ran is also the first query listed in that document. \n",
    "\n",
    "Below is the output of running that query. Notice that the number returned is identical to the number we obtained when we checked that the data set import was successful in the first part of this article."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
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       "      <th></th>\n",
       "      <th>col1</th>\n",
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       "      <th>0</th>\n",
       "      <td>165892051</td>\n",
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      "text/plain": [
       "        col1\n",
       "0  165892051"
      ]
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     "execution_count": 3,
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   ],
   "source": [
    "q1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2.2. Helper Function\n",
    "Let's add a helper function called `query()` that will allow us to run the remaining [sample queries](http://docs.actian.com/vector/AWS/index.html#page/GetStart%2FMoreSampleQueries.htm%23) inside our notebook using a single line of code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def query(s):\n",
    "    df = pd.read_sql(s, conn)\n",
    "    return df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3.0. Visualizing\n",
    "## 3.1. List of carriers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "carriers = query('SELECT ccode as carrier, carrier as name from carriers')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>carrier</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AS</td>\n",
       "      <td>Alaska Airlines (AS)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AA</td>\n",
       "      <td>American Airlines (AA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>DL</td>\n",
       "      <td>Delta Air Lines (DL)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>EV</td>\n",
       "      <td>ExpressJet Airlines (EV)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>F9</td>\n",
       "      <td>Frontier Airlines (F9)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>HA</td>\n",
       "      <td>Hawaiian Airlines (HA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>B6</td>\n",
       "      <td>JetBlue Airways (B6)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>OO</td>\n",
       "      <td>SkyWest Airlines (OO)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>WN</td>\n",
       "      <td>Southwest Airlines (WN)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>NK</td>\n",
       "      <td>Spirit Airlines (NK)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>UA</td>\n",
       "      <td>United Airlines (UA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>VX</td>\n",
       "      <td>Virgin America (VX)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   carrier                       name\n",
       "0       AS  Alaska Airlines (AS)     \n",
       "1       AA  American Airlines (AA)   \n",
       "2       DL  Delta Air Lines (DL)     \n",
       "3       EV  ExpressJet Airlines (EV) \n",
       "4       F9  Frontier Airlines (F9)   \n",
       "5       HA  Hawaiian Airlines (HA)   \n",
       "6       B6  JetBlue Airways (B6)     \n",
       "7       OO  SkyWest Airlines (OO)    \n",
       "8       WN  Southwest Airlines (WN)  \n",
       "9       NK  Spirit Airlines (NK)     \n",
       "10      UA  United Airlines (UA)     \n",
       "11      VX  Virgin America (VX)      "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "carriers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.2. Number of flights per year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 36 ms, sys: 8 ms, total: 44 ms\n",
      "Wall time: 1.61 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "q2 = query('SELECT year, count(*) as frequency from ontime group by YEAR')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>frequency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1987</td>\n",
       "      <td>1311826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1988</td>\n",
       "      <td>5202096</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1989</td>\n",
       "      <td>5041200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1990</td>\n",
       "      <td>5270893</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1991</td>\n",
       "      <td>5076925</td>\n",
       "    </tr>\n",
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      ],
      "text/plain": [
       "   year  frequency\n",
       "0  1987    1311826\n",
       "1  1988    5202096\n",
       "2  1989    5041200\n",
       "3  1990    5270893\n",
       "4  1991    5076925"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q2.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7feb21b2e748>"
      ]
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     "execution_count": 9,
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    {
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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib, seaborn\n",
    "%matplotlib inline\n",
    "q2.plot(kind='bar', x='year', y='frequency', title=\"Number of flights per year\", legend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.3. Percentage of delays for each carrier for 2016 year"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 32 ms, sys: 52 ms, total: 84 ms\n",
      "Wall time: 1 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "q3 = query('SELECT t.carrier, c, c2, c*100/c2 as c3 FROM (SELECT carrier, count(*) AS c FROM ontime WHERE DepDelay>10 AND Year=2016 GROUP BY carrier) t JOIN (SELECT carrier, count(*) AS c2 FROM ontime WHERE Year=2016 GROUP BY carrier) t2 ON (t.Carrier=t2.Carrier) ORDER BY c3 DESC')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>carrier</th>\n",
       "      <th>c</th>\n",
       "      <th>c2</th>\n",
       "      <th>c3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B6</td>\n",
       "      <td>76205</td>\n",
       "      <td>282473</td>\n",
       "      <td>26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NK</td>\n",
       "      <td>35605</td>\n",
       "      <td>138199</td>\n",
       "      <td>25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>F9</td>\n",
       "      <td>22938</td>\n",
       "      <td>95121</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VX</td>\n",
       "      <td>16904</td>\n",
       "      <td>69121</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>WN</td>\n",
       "      <td>298848</td>\n",
       "      <td>1299444</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  carrier       c       c2  c3\n",
       "0      B6   76205   282473  26\n",
       "1      NK   35605   138199  25\n",
       "2      F9   22938    95121  24\n",
       "3      VX   16904    69121  24\n",
       "4      WN  298848  1299444  22"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q3.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The carrier codes are a bit cryptic, so unless it is your job to stare at airline codes all day, we need a way to display a human-friendly formatting of the airline carriers.\n",
    "We will achieve this by performing a lazy man's join using `pandas.merge()` to join the result (`q3`) with our in-memory copy of the `carriers` table, which we loaded earlier for query Q1.0. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>carrier</th>\n",
       "      <th>c</th>\n",
       "      <th>c2</th>\n",
       "      <th>c3</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B6</td>\n",
       "      <td>76205</td>\n",
       "      <td>282473</td>\n",
       "      <td>26</td>\n",
       "      <td>JetBlue Airways (B6)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>NK</td>\n",
       "      <td>35605</td>\n",
       "      <td>138199</td>\n",
       "      <td>25</td>\n",
       "      <td>Spirit Airlines (NK)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>F9</td>\n",
       "      <td>22938</td>\n",
       "      <td>95121</td>\n",
       "      <td>24</td>\n",
       "      <td>Frontier Airlines (F9)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VX</td>\n",
       "      <td>16904</td>\n",
       "      <td>69121</td>\n",
       "      <td>24</td>\n",
       "      <td>Virgin America (VX)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>WN</td>\n",
       "      <td>298848</td>\n",
       "      <td>1299444</td>\n",
       "      <td>22</td>\n",
       "      <td>Southwest Airlines (WN)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>UA</td>\n",
       "      <td>118056</td>\n",
       "      <td>545067</td>\n",
       "      <td>21</td>\n",
       "      <td>United Airlines (UA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>AA</td>\n",
       "      <td>177497</td>\n",
       "      <td>914495</td>\n",
       "      <td>19</td>\n",
       "      <td>American Airlines (AA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>EV</td>\n",
       "      <td>90510</td>\n",
       "      <td>490990</td>\n",
       "      <td>18</td>\n",
       "      <td>ExpressJet Airlines (EV)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>DL</td>\n",
       "      <td>151922</td>\n",
       "      <td>922746</td>\n",
       "      <td>16</td>\n",
       "      <td>Delta Air Lines (DL)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>OO</td>\n",
       "      <td>99356</td>\n",
       "      <td>605933</td>\n",
       "      <td>16</td>\n",
       "      <td>SkyWest Airlines (OO)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>AS</td>\n",
       "      <td>20405</td>\n",
       "      <td>177280</td>\n",
       "      <td>11</td>\n",
       "      <td>Alaska Airlines (AS)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>HA</td>\n",
       "      <td>6488</td>\n",
       "      <td>76789</td>\n",
       "      <td>8</td>\n",
       "      <td>Hawaiian Airlines (HA)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   carrier       c       c2  c3                       name\n",
       "0       B6   76205   282473  26  JetBlue Airways (B6)     \n",
       "1       NK   35605   138199  25  Spirit Airlines (NK)     \n",
       "2       F9   22938    95121  24  Frontier Airlines (F9)   \n",
       "3       VX   16904    69121  24  Virgin America (VX)      \n",
       "4       WN  298848  1299444  22  Southwest Airlines (WN)  \n",
       "5       UA  118056   545067  21  United Airlines (UA)     \n",
       "6       AA  177497   914495  19  American Airlines (AA)   \n",
       "7       EV   90510   490990  18  ExpressJet Airlines (EV) \n",
       "8       DL  151922   922746  16  Delta Air Lines (DL)     \n",
       "9       OO   99356   605933  16  SkyWest Airlines (OO)    \n",
       "10      AS   20405   177280  11  Alaska Airlines (AS)     \n",
       "11      HA    6488    76789   8  Hawaiian Airlines (HA)   "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q3 = pd.merge(q3, carriers, on='carrier')\n",
    "q3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7feb1defb3c8>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "q3.plot(kind='bar', x='name', y='c3', title=\"Percentage of delays for each carrier for 2016 year\", legend=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3.16. Running total of flights over the years by carrier\n",
    "This is the last query from that sample. It's a fairly expensive query (taking ~10s on average) as it involves performing a scan of nearly all the records in the `ontime` table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 12 ms, sys: 40 ms, total: 52 ms\n",
      "Wall time: 11.4 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "q16 = query('WITH t AS (SELECT carrier, year, count(*) cnt FROM ontime GROUP BY carrier, year) SELECT carrier, year, cnt, sum(cnt) OVER (PARTITION BY carrier ORDER BY carrier, year ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS \"running_total\" FROM t')\n",
    "# I removed the 'FETCH FIRST 10 ROWS ONLY' filter so it fetches everything :)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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>carrier</th>\n",
       "      <th>year</th>\n",
       "      <th>cnt</th>\n",
       "      <th>running_total</th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AA</td>\n",
       "      <td>1987</td>\n",
       "      <td>165121</td>\n",
       "      <td>165121</td>\n",
       "      <td>American Airlines (AA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AA</td>\n",
       "      <td>1988</td>\n",
       "      <td>694757</td>\n",
       "      <td>859878</td>\n",
       "      <td>American Airlines (AA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>AA</td>\n",
       "      <td>1989</td>\n",
       "      <td>723252</td>\n",
       "      <td>1583130</td>\n",
       "      <td>American Airlines (AA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AA</td>\n",
       "      <td>1990</td>\n",
       "      <td>712060</td>\n",
       "      <td>2295190</td>\n",
       "      <td>American Airlines (AA)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AA</td>\n",
       "      <td>1991</td>\n",
       "      <td>725191</td>\n",
       "      <td>3020381</td>\n",
       "      <td>American Airlines (AA)</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  carrier  year     cnt  running_total                       name\n",
       "0      AA  1987  165121         165121  American Airlines (AA)   \n",
       "1      AA  1988  694757         859878  American Airlines (AA)   \n",
       "2      AA  1989  723252        1583130  American Airlines (AA)   \n",
       "3      AA  1990  712060        2295190  American Airlines (AA)   \n",
       "4      AA  1991  725191        3020381  American Airlines (AA)   "
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "q16 = pd.merge(q16, carriers, on='carrier')\n",
    "q16.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now let's create a function that will iterate over each carrier, then plot the flights per year as well as the cummulative flights."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def plot_df_array(df_array, y, ylabel, title):    \n",
    "    node_first = True\n",
    "    axis = None\n",
    "    for df in df_array:\n",
    "        if df.shape[0] == 0:\n",
    "            continue\n",
    "        \n",
    "        if node_first == True:\n",
    "            node_first = False\n",
    "            axis = df.plot(kind='line', x='year', y=y, label=df.name.unique()[0], title=title)                   \n",
    "        else:\n",
    "            df.plot(kind='line', x='year', y=y, ax=axis, label=df.name.unique()[0])    \n",
    "    axis.set_xlabel('Year')\n",
    "    axis.set_ylabel(ylabel) \n",
    "    axis.legend(loc='best', bbox_to_anchor=(1, 1))\n",
    "    \n",
    "dfs = [q16[q16.carrier == carrier] for carrier in carriers['carrier']]\n",
    "plot_df_array(dfs, y='cnt', ylabel='Number of Flights', title='Yearly flights by carrier')    \n",
    "plot_df_array(dfs, y='running_total', ylabel='Total Flights (10s of millions)', title='Total flights by carrier')    \n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4.0. Conclusion\n",
    "There are very limited visualization tools for connecting to an Actian Vector database running on Linux; most of the tools that could connect over ODBC only supported Windows. \n",
    "\n",
    "I had planned to use Apache Superset but its ODBC + ORM combo for connecting to a variety of database failed to work. The ORM library -- SqlAlchemy -- kept using the Microsoft SQL Server dialect whenever it tried to query the database metadata, which of course lead to syntax errors like this one for example: \n",
    "```\n",
    "  [Actian][Ingres ODBC Driver][Ingres]Syntax error.  Last symbol read was: 'slc'. (2076) (SQLExecDirectW)\\\") (Background on this error at: http://sqlalche.me/e/f405)\n",
    "```\n",
    "\n",
    "As a workaround, I decided to use this Jupyter Notebook to code the visualizations by hand.\n",
    "\n",
    "Some parts of this guide was inspired by the very well written instructions that were provided in this Jupyter [notebook](https://github.com/cjalmeida/vector_tutorial/blob/master/ActianVector.ipynb) hosted on GitHub, describing how to interact with an Actian Vector database running on Linux using ODBC."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}