Curling_Analytics-Preliminary_Data_Exploration.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Having been checking the output of the pdf_parsing_functions and handled a few edge cases as we went along, the populate_db code has now produced a database with all the data available at the time of downloading.  Now I want to take a first look at the contents of the database, to see what I have to work with.\n",
    "\n",
    "NB: Before reading this, if you are unfamiliar with curling terminology it may be helpful to read the primer at https://jordanmyslik.com/portfolio/curling-analytics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Start by setting up the path to the database, and loading in the database helper functions, so we can take some initial quick looks using SQL.\n",
    "import os\n",
    "os.environ[\"CADBPATH\"]=os.getcwd() + \"/curling_data.db\"\n",
    "\n",
    "import database_functions as db"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>events</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>games</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ends</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>shots</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>stone_positions</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              name\n",
       "0           events\n",
       "1            games\n",
       "2             ends\n",
       "3            shots\n",
       "4  stone_positions"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#First, let's take a look at the available tables\n",
    "c = \"\"\"\n",
    "SELECT name\n",
    "FROM sqlite_master\n",
    "WHERE type = 'table' AND\n",
    "    name NOT LIKE 'sqlite_%'\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The database contains 5 tables, representing the data from the shot-by-shot summary PDFs hierarchically:\n",
    "* events: The event in which a game takes place (eg. the 2018 Olympic Winter Games).\n",
    "* games: Information on the level of a game (e.g. which teams played, the final score, etc.)\n",
    "* ends: Information on the level of an end (e.g. score for the end, direction of play, which team had last rock advantage).\n",
    "* shots: Information about each individual shot in the end (e.g. which team threw it, what the skip's call was, how accurately the stone was thrown.)\n",
    "* stone_positions:  The positions of the stones in the house after each shot is complete.\n",
    "\n",
    "Although the bulk of the data cleaning was performed by design during the extraction of the data from the shot-by-shot summaries, we should now take a quick look at each table to see if there are any other issues that may need to be dealt with before analyses can be performed with the data they affect."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
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       "      <th>id</th>\n",
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       "      <td>0</td>\n",
       "      <td>CUR_1819_CWC_1P</td>\n",
       "      <td>WED 12 SEP 2018</td>\n",
       "      <td>SUN 16 SEP 2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>CUR_1819_CWC_2P</td>\n",
       "      <td>WED 5 DEC 2018</td>\n",
       "      <td>SUN 9 DEC 2018</td>\n",
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       "      <td>WED 30 JAN 2019</td>\n",
       "      <td>SUN 3 FEB 2019</td>\n",
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       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>CUR_1819_CWC_4P</td>\n",
       "      <td>WED 8 MAY 2019</td>\n",
       "      <td>SUN 12 MAY 2019</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
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       "      <td>SAT 10 NOV 2018</td>\n",
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       "      <th>12</th>\n",
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       "      <td>THU 16 FEB 2017</td>\n",
       "      <td>SUN 26 FEB 2017</td>\n",
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       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>CUR_WMCC2017P</td>\n",
       "      <td>SAT  1 APR 2017</td>\n",
       "      <td>SUN  9 APR 2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>CUR_WMCC2018P</td>\n",
       "      <td>SAT 31 MAR 2018</td>\n",
       "      <td>SUN 8 APR 2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>CUR_WWCC2017P</td>\n",
       "      <td>SAT 18 MAR 2017</td>\n",
       "      <td>SUN 26 MAR 2017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>CUR_WWCC2018P</td>\n",
       "      <td>SAT 17 MAR 2018</td>\n",
       "      <td>SUN 25 MAR 2018</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>CUR_WWCC2019P</td>\n",
       "      <td>SAT 16 MAR 2019</td>\n",
       "      <td>SUN 17 MAR 2019</td>\n",
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       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>OWG2018P</td>\n",
       "      <td>WED 14 FEB 2018</td>\n",
       "      <td>SUN 25 FEB 2018</td>\n",
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       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>WUNI2017P</td>\n",
       "      <td>MON 30 JAN 2017</td>\n",
       "      <td>TUE  7 FEB 2017</td>\n",
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      "text/plain": [
       "    id             name       start_date         end_date\n",
       "0    0  CUR_1819_CWC_1P  WED 12 SEP 2018  SUN 16 SEP 2018\n",
       "1    1  CUR_1819_CWC_2P   WED 5 DEC 2018   SUN 9 DEC 2018\n",
       "2    2  CUR_1819_CWC_3P  WED 30 JAN 2019   SUN 3 FEB 2019\n",
       "3    3  CUR_1819_CWC_4P   WED 8 MAY 2019  SUN 12 MAY 2019\n",
       "4    4     CUR_ECC2016P  SAT 19 NOV 2016  SAT 26 NOV 2016\n",
       "5    5    CUR_ECCA2017P  SAT 18 NOV 2017  SAT 25 NOV 2017\n",
       "6    6    CUR_ECCA2018P  SAT 17 NOV 2018  SAT 24 NOV 2018\n",
       "7    7    CUR_ECCB2017P  FRI 24 NOV 2017  FRI 24 NOV 2017\n",
       "8    8     CUR_OQE2017P   TUE 5 DEC 2017  SUN 10 DEC 2017\n",
       "9    9    CUR_PACC2017B   FRI 3 NOV 2017   SAT 4 NOV 2017\n",
       "10  10    CUR_PACC2017P   FRI 3 NOV 2017   THU 9 NOV 2017\n",
       "11  11    CUR_PACC2018P   SAT 3 NOV 2018  SAT 10 NOV 2018\n",
       "12  12    CUR_WJCC2017P  THU 16 FEB 2017  SUN 26 FEB 2017\n",
       "13  13    CUR_WJCC2017T  THU 16 FEB 2017  THU 16 FEB 2017\n",
       "14  14    CUR_WJCC2018P   SAT 3 MAR 2018  SAT 10 MAR 2018\n",
       "15  15    CUR_WJCC2019P  SAT 16 FEB 2019  SAT 23 FEB 2019\n",
       "16  16    CUR_WMCC2017P  SAT  1 APR 2017  SUN  9 APR 2017\n",
       "17  17    CUR_WMCC2018P  SAT 31 MAR 2018   SUN 8 APR 2018\n",
       "18  18    CUR_WWCC2017P  SAT 18 MAR 2017  SUN 26 MAR 2017\n",
       "19  19    CUR_WWCC2018P  SAT 17 MAR 2018  SUN 25 MAR 2018\n",
       "20  20    CUR_WWCC2019P  SAT 16 MAR 2019  SUN 17 MAR 2019\n",
       "21  21     CU_WMCC2016P  SAT  2 APR 2016  SUN 10 APR 2016\n",
       "22  22         OWG2018P  WED 14 FEB 2018  SUN 25 FEB 2018\n",
       "23  23        WUNI2017P  MON 30 JAN 2017  TUE  7 FEB 2017"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Start with the events table.\n",
    "c = \"\"\"\n",
    "SELECT * FROM events\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The events table is pretty simple, just giving an event name code (based on how the World Curling Federation stored the game results) and the start and end dates of the event in question (which I obtained by getting the minimum and maximum date of the games in each event.)  This relatively small table all looks reasonable, so let's proceed onto the games table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>5</th>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
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       "      <td>Group-B</td>\n",
       "      <td>B</td>\n",
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       "      <td>THU 13 SEP 2018</td>\n",
       "      <td>12:00</td>\n",
       "      <td>SUI</td>\n",
       "      <td>JPN</td>\n",
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       "      <td>NaN</td>\n",
       "    </tr>\n",
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       "      <th>6</th>\n",
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       "      <td>THU 13 SEP 2018</td>\n",
       "      <td>12:00</td>\n",
       "      <td>SWE</td>\n",
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       "      <td>Group-A</td>\n",
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       "      <td>THU 13 SEP 2018</td>\n",
       "      <td>12:00</td>\n",
       "      <td>USA</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>07~Session_7</td>\n",
       "      <td>Group-A</td>\n",
       "      <td>E</td>\n",
       "      <td>Men</td>\n",
       "      <td>THU 13 SEP 2018</td>\n",
       "      <td>19:30</td>\n",
       "      <td>CHN</td>\n",
       "      <td>SWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <td>07~Session_7</td>\n",
       "      <td>Group-A</td>\n",
       "      <td>B</td>\n",
       "      <td>Men</td>\n",
       "      <td>THU 13 SEP 2018</td>\n",
       "      <td>19:30</td>\n",
       "      <td>NOR</td>\n",
       "      <td>USA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>07~Session_7</td>\n",
       "      <td>Group-B</td>\n",
       "      <td>C</td>\n",
       "      <td>Men</td>\n",
       "      <td>THU 13 SEP 2018</td>\n",
       "      <td>19:30</td>\n",
       "      <td>SCO</td>\n",
       "      <td>SUI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>09~Session_9</td>\n",
       "      <td>Group-A</td>\n",
       "      <td>D</td>\n",
       "      <td>Men</td>\n",
       "      <td>FRI 14 SEP 2018</td>\n",
       "      <td>12:00</td>\n",
       "      <td>CHN</td>\n",
       "      <td>NOR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>09~Session_9</td>\n",
       "      <td>Group-A</td>\n",
       "      <td>A</td>\n",
       "      <td>Men</td>\n",
       "      <td>FRI 14 SEP 2018</td>\n",
       "      <td>12:00</td>\n",
       "      <td>USA</td>\n",
       "      <td>SWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>10~Session_10</td>\n",
       "      <td>Group-B</td>\n",
       "      <td>E</td>\n",
       "      <td>Men</td>\n",
       "      <td>FRI 14 SEP 2018</td>\n",
       "      <td>16:00</td>\n",
       "      <td>JPN</td>\n",
       "      <td>SCO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
       "      <td>10~Session_10</td>\n",
       "      <td>Group-B</td>\n",
       "      <td>C</td>\n",
       "      <td>Men</td>\n",
       "      <td>FRI 14 SEP 2018</td>\n",
       "      <td>16:00</td>\n",
       "      <td>SUI</td>\n",
       "      <td>CAN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>0</td>\n",
       "      <td>12~Session_12</td>\n",
       "      <td>Group-A</td>\n",
       "      <td>A</td>\n",
       "      <td>Men</td>\n",
       "      <td>SAT 15 SEP 2018</td>\n",
       "      <td>8:30</td>\n",
       "      <td>CHN</td>\n",
       "      <td>USA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>0</td>\n",
       "      <td>12~Session_12</td>\n",
       "      <td>Group-B</td>\n",
       "      <td>D</td>\n",
       "      <td>Men</td>\n",
       "      <td>SAT 15 SEP 2018</td>\n",
       "      <td>8:30</td>\n",
       "      <td>JPN</td>\n",
       "      <td>SUI</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>0</td>\n",
       "      <td>12~Session_12</td>\n",
       "      <td>Group-A</td>\n",
       "      <td>C</td>\n",
       "      <td>Men</td>\n",
       "      <td>SAT 15 SEP 2018</td>\n",
       "      <td>8:30</td>\n",
       "      <td>NOR</td>\n",
       "      <td>SWE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>0</td>\n",
       "      <td>12~Session_12</td>\n",
       "      <td>Group-B</td>\n",
       "      <td>B</td>\n",
       "      <td>Men</td>\n",
       "      <td>SAT 15 SEP 2018</td>\n",
       "      <td>8:30</td>\n",
       "      <td>SCO</td>\n",
       "      <td>CAN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>0</td>\n",
       "      <td>14~Session_14</td>\n",
       "      <td>Group-B</td>\n",
       "      <td>A</td>\n",
       "      <td>Men</td>\n",
       "      <td>SAT 15 SEP 2018</td>\n",
       "      <td>16:00</td>\n",
       "      <td>CAN</td>\n",
       "      <td>JPN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>0</td>\n",
       "      <td>14~Session_14</td>\n",
       "      <td>Group-A</td>\n",
       "      <td>B</td>\n",
       "      <td>Men</td>\n",
       "      <td>SAT 15 SEP 2018</td>\n",
       "      <td>16:00</td>\n",
       "      <td>SWE</td>\n",
       "      <td>CHN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>0</td>\n",
       "      <td>14~Session_14</td>\n",
       "      <td>Group-A</td>\n",
       "      <td>E</td>\n",
       "      <td>Men</td>\n",
       "      <td>SAT 15 SEP 2018</td>\n",
       "      <td>16:00</td>\n",
       "      <td>USA</td>\n",
       "      <td>NOR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>0</td>\n",
       "      <td>15~Session_15</td>\n",
       "      <td>Group-B</td>\n",
       "      <td>A</td>\n",
       "      <td>Men</td>\n",
       "      <td>SAT 15 SEP 2018</td>\n",
       "      <td>19:30</td>\n",
       "      <td>SUI</td>\n",
       "      <td>SCO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>0</td>\n",
       "      <td>18~Finals</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Men</td>\n",
       "      <td>SUN 16 SEP 2018</td>\n",
       "      <td>16:00</td>\n",
       "      <td>CAN</td>\n",
       "      <td>NOR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25</td>\n",
       "      <td>0</td>\n",
       "      <td>01~Session_1</td>\n",
       "      <td>Group-B</td>\n",
       "      <td>C</td>\n",
       "      <td>Women</td>\n",
       "      <td>WED 12 SEP 2018</td>\n",
       "      <td>15:00</td>\n",
       "      <td>CAN</td>\n",
       "      <td>RUS</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26</td>\n",
       "      <td>0</td>\n",
       "      <td>01~Session_1</td>\n",
       "      <td>Group-A</td>\n",
       "      <td>B</td>\n",
       "      <td>Women</td>\n",
       "      <td>WED 12 SEP 2018</td>\n",
       "      <td>15:00</td>\n",
       "      <td>JPN</td>\n",
       "      <td>SCO</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>27</td>\n",
       "      <td>0</td>\n",
       "      <td>01~Session_1</td>\n",
       "      <td>Group-B</td>\n",
       "      <td>D</td>\n",
       "      <td>Women</td>\n",
       "      <td>WED 12 SEP 2018</td>\n",
       "      <td>15:00</td>\n",
       "      <td>KOR</td>\n",
       "      <td>USA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>0</td>\n",
       "      <td>01~Session_1</td>\n",
       "      <td>Group-A</td>\n",
       "      <td>A</td>\n",
       "      <td>Women</td>\n",
       "      <td>WED 12 SEP 2018</td>\n",
       "      <td>15:00</td>\n",
       "      <td>SWE</td>\n",
       "      <td>CHN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>29</td>\n",
       "      <td>0</td>\n",
       "      <td>04~Session_4</td>\n",
       "      <td>Group-A</td>\n",
       "      <td>E</td>\n",
       "      <td>Women</td>\n",
       "      <td>THU 13 SEP 2018</td>\n",
       "      <td>8:30</td>\n",
       "      <td>SWE</td>\n",
       "      <td>JPN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1239</th>\n",
       "      <td>1239</td>\n",
       "      <td>22</td>\n",
       "      <td>36~Session_12</td>\n",
       "      <td>Round Robin Session 12</td>\n",
       "      <td>C</td>\n",
       "      <td>Women</td>\n",
       "      <td>WED 21 FEB 2018</td>\n",
       "      <td>20:05</td>\n",
       "      <td>OAR</td>\n",
       "      <td>CAN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1240</th>\n",
       "      <td>1240</td>\n",
       "      <td>22</td>\n",
       "      <td>36~Session_12</td>\n",
       "      <td>Round Robin Session 12</td>\n",
       "      <td>B</td>\n",
       "      <td>Women</td>\n",
       "      <td>WED 21 FEB 2018</td>\n",
       "      <td>20:05</td>\n",
       "      <td>SUI</td>\n",
       "      <td>JPN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1241</th>\n",
       "      <td>1241</td>\n",
       "      <td>22</td>\n",
       "      <td>36~Session_12</td>\n",
       "      <td>Round Robin Session 12</td>\n",
       "      <td>A</td>\n",
       "      <td>Women</td>\n",
       "      <td>WED 21 FEB 2018</td>\n",
       "      <td>20:05</td>\n",
       "      <td>SWE</td>\n",
       "      <td>USA</td>\n",
       "      <td>9.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1242</th>\n",
       "      <td>1242</td>\n",
       "      <td>22</td>\n",
       "      <td>40~Semi-Finals</td>\n",
       "      <td>Semi-final</td>\n",
       "      <td>A</td>\n",
       "      <td>Women</td>\n",
       "      <td>FRI 23 FEB 2018</td>\n",
       "      <td>20:05</td>\n",
       "      <td>KOR</td>\n",
       "      <td>JPN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1243</th>\n",
       "      <td>1243</td>\n",
       "      <td>22</td>\n",
       "      <td>40~Semi-Finals</td>\n",
       "      <td>Semi-final</td>\n",
       "      <td>C</td>\n",
       "      <td>Women</td>\n",
       "      <td>FRI 23 FEB 2018</td>\n",
       "      <td>20:05</td>\n",
       "      <td>SWE</td>\n",
       "      <td>GBR</td>\n",
       "      <td>10.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1244</th>\n",
       "      <td>1244</td>\n",
       "      <td>22</td>\n",
       "      <td>42~Bronze_Medal_Game</td>\n",
       "      <td>Bronze Medal Game</td>\n",
       "      <td>B</td>\n",
       "      <td>Women</td>\n",
       "      <td>SAT 24 FEB 2018</td>\n",
       "      <td>20:05</td>\n",
       "      <td>GBR</td>\n",
       "      <td>JPN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1245</th>\n",
       "      <td>1245</td>\n",
       "      <td>22</td>\n",
       "      <td>43~Gold_Medal_Game</td>\n",
       "      <td>Gold Medal Game</td>\n",
       "      <td>B</td>\n",
       "      <td>Women</td>\n",
       "      <td>SUN 25 FEB 2018</td>\n",
       "      <td>9:05</td>\n",
       "      <td>SWE</td>\n",
       "      <td>KOR</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1246</th>\n",
       "      <td>1246</td>\n",
       "      <td>23</td>\n",
       "      <td>01~Session_1</td>\n",
       "      <td>Round Robin Session 1</td>\n",
       "      <td>C</td>\n",
       "      <td>Men</td>\n",
       "      <td>MON 30 JAN 2017</td>\n",
       "      <td>14:00</td>\n",
       "      <td>GBR</td>\n",
       "      <td>RUS</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1247</th>\n",
       "      <td>1247</td>\n",
       "      <td>23</td>\n",
       "      <td>02~Session_2</td>\n",
       "      <td>Round Robin Session 2</td>\n",
       "      <td>C</td>\n",
       "      <td>Men</td>\n",
       "      <td>TUE 31 JAN 2017</td>\n",
       "      <td>9:00</td>\n",
       "      <td>NOR</td>\n",
       "      <td>KOR</td>\n",
       "      <td>12.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1248</th>\n",
       "      <td>1248</td>\n",
       "      <td>23</td>\n",
       "      <td>03~Session_3</td>\n",
       "      <td>Round Robin Session 3</td>\n",
       "      <td>C</td>\n",
       "      <td>Men</td>\n",
       "      <td>TUE 31 JAN 2017</td>\n",
       "      <td>19:00</td>\n",
       "      <td>USA</td>\n",
       "      <td>SWE</td>\n",
       "      <td>7.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1249</th>\n",
       "      <td>1249</td>\n",
       "      <td>23</td>\n",
       "      <td>04~Session_4</td>\n",
       "      <td>Round Robin Session 4</td>\n",
       "      <td>C</td>\n",
       "      <td>Men</td>\n",
       "      <td>WED  1 FEB 2017</td>\n",
       "      <td>14:00</td>\n",
       "      <td>JPN</td>\n",
       "      <td>KAZ</td>\n",
       "      <td>7.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1250</th>\n",
       "      <td>1250</td>\n",
       "      <td>23</td>\n",
       "      <td>05~Session_5</td>\n",
       "      <td>Round Robin Session 5</td>\n",
       "      <td>C</td>\n",
       "      <td>Men</td>\n",
       "      <td>THU  2 FEB 2017</td>\n",
       "      <td>9:00</td>\n",
       "      <td>KOR</td>\n",
       "      <td>CZE</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1251</th>\n",
       "      <td>1251</td>\n",
       "      <td>23</td>\n",
       "      <td>06~Session_6</td>\n",
       "      <td>Round Robin Session 6</td>\n",
       "      <td>C</td>\n",
       "      <td>Men</td>\n",
       "      <td>THU  2 FEB 2017</td>\n",
       "      <td>19:00</td>\n",
       "      <td>SWE</td>\n",
       "      <td>CAN</td>\n",
       "      <td>7.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1252</th>\n",
       "      <td>1252</td>\n",
       "      <td>23</td>\n",
       "      <td>07~Session_7</td>\n",
       "      <td>Round Robin Session 7</td>\n",
       "      <td>C</td>\n",
       "      <td>Men</td>\n",
       "      <td>FRI  3 FEB 2017</td>\n",
       "      <td>14:00</td>\n",
       "      <td>RUS</td>\n",
       "      <td>USA</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1253</th>\n",
       "      <td>1253</td>\n",
       "      <td>23</td>\n",
       "      <td>08~Session_8</td>\n",
       "      <td>Round Robin Session 8</td>\n",
       "      <td>C</td>\n",
       "      <td>Men</td>\n",
       "      <td>SAT  4 FEB 2017</td>\n",
       "      <td>9:00</td>\n",
       "      <td>CZE</td>\n",
       "      <td>JPN</td>\n",
       "      <td>8.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1254</th>\n",
       "      <td>1254</td>\n",
       "      <td>23</td>\n",
       "      <td>09~Session_9</td>\n",
       "      <td>Round Robin Session 9</td>\n",
       "      <td>C</td>\n",
       "      <td>Men</td>\n",
       "      <td>SAT  4 FEB 2017</td>\n",
       "      <td>19:00</td>\n",
       "      <td>CAN</td>\n",
       "      <td>NOR</td>\n",
       "      <td>9.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1255</th>\n",
       "      <td>1255</td>\n",
       "      <td>23</td>\n",
       "      <td>93~Semi-Finals_Session_1</td>\n",
       "      <td>Semi-finals</td>\n",
       "      <td>A</td>\n",
       "      <td>Men</td>\n",
       "      <td>MON  6 FEB 2017</td>\n",
       "      <td>9:00</td>\n",
       "      <td>NOR</td>\n",
       "      <td>GBR</td>\n",
       "      <td>8.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1256</th>\n",
       "      <td>1256</td>\n",
       "      <td>23</td>\n",
       "      <td>99~Gold_Medal_Game</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Men</td>\n",
       "      <td>TUE  7 FEB 2017</td>\n",
       "      <td>14:00</td>\n",
       "      <td>SWE</td>\n",
       "      <td>GBR</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1257</th>\n",
       "      <td>1257</td>\n",
       "      <td>23</td>\n",
       "      <td>01~Session_1</td>\n",
       "      <td>Round Robin Session 1</td>\n",
       "      <td>B</td>\n",
       "      <td>Women</td>\n",
       "      <td>MON 30 JAN 2017</td>\n",
       "      <td>9:00</td>\n",
       "      <td>GBR</td>\n",
       "      <td>RUS</td>\n",
       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1258</th>\n",
       "      <td>1258</td>\n",
       "      <td>23</td>\n",
       "      <td>02~Session_2</td>\n",
       "      <td>Round Robin Session 2</td>\n",
       "      <td>C</td>\n",
       "      <td>Women</td>\n",
       "      <td>MON 30 JAN 2017</td>\n",
       "      <td>19:00</td>\n",
       "      <td>CHN</td>\n",
       "      <td>SWE</td>\n",
       "      <td>5.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1259</th>\n",
       "      <td>1259</td>\n",
       "      <td>23</td>\n",
       "      <td>03~Session_3</td>\n",
       "      <td>Round Robin Session 3</td>\n",
       "      <td>B</td>\n",
       "      <td>Women</td>\n",
       "      <td>TUE 31 JAN 2017</td>\n",
       "      <td>14:00</td>\n",
       "      <td>SWE</td>\n",
       "      <td>CAN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1260</th>\n",
       "      <td>1260</td>\n",
       "      <td>23</td>\n",
       "      <td>04~Session_4</td>\n",
       "      <td>Round Robin Session 4</td>\n",
       "      <td>B</td>\n",
       "      <td>Women</td>\n",
       "      <td>WED  1 FEB 2017</td>\n",
       "      <td>9:00</td>\n",
       "      <td>KAZ</td>\n",
       "      <td>NOR</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1261</th>\n",
       "      <td>1261</td>\n",
       "      <td>23</td>\n",
       "      <td>05~Session_5</td>\n",
       "      <td>Round Robin Session 5</td>\n",
       "      <td>B</td>\n",
       "      <td>Women</td>\n",
       "      <td>WED  1 FEB 2017</td>\n",
       "      <td>19:00</td>\n",
       "      <td>CHN</td>\n",
       "      <td>SUI</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1262</th>\n",
       "      <td>1262</td>\n",
       "      <td>23</td>\n",
       "      <td>06~Session_6</td>\n",
       "      <td>Round Robin Session 6</td>\n",
       "      <td>C</td>\n",
       "      <td>Women</td>\n",
       "      <td>THU  2 FEB 2017</td>\n",
       "      <td>14:00</td>\n",
       "      <td>NOR</td>\n",
       "      <td>GBR</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1263</th>\n",
       "      <td>1263</td>\n",
       "      <td>23</td>\n",
       "      <td>07~Session_7</td>\n",
       "      <td>Round Robin Session 7</td>\n",
       "      <td>C</td>\n",
       "      <td>Women</td>\n",
       "      <td>FRI  3 FEB 2017</td>\n",
       "      <td>9:00</td>\n",
       "      <td>GER</td>\n",
       "      <td>SUI</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1264</th>\n",
       "      <td>1264</td>\n",
       "      <td>23</td>\n",
       "      <td>08~Session_8</td>\n",
       "      <td>Round Robin Session 8</td>\n",
       "      <td>C</td>\n",
       "      <td>Women</td>\n",
       "      <td>FRI  3 FEB 2017</td>\n",
       "      <td>19:00</td>\n",
       "      <td>KOR</td>\n",
       "      <td>CAN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1265</th>\n",
       "      <td>1265</td>\n",
       "      <td>23</td>\n",
       "      <td>09~Session_9</td>\n",
       "      <td>Round Robin Session 9</td>\n",
       "      <td>B</td>\n",
       "      <td>Women</td>\n",
       "      <td>SAT  4 FEB 2017</td>\n",
       "      <td>14:00</td>\n",
       "      <td>KOR</td>\n",
       "      <td>GER</td>\n",
       "      <td>8.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1266</th>\n",
       "      <td>1266</td>\n",
       "      <td>23</td>\n",
       "      <td>50~Tie-breaker</td>\n",
       "      <td>Tie-breaker Session</td>\n",
       "      <td>E</td>\n",
       "      <td>Women</td>\n",
       "      <td>SUN  5 FEB 2017</td>\n",
       "      <td>9:00</td>\n",
       "      <td>SUI</td>\n",
       "      <td>GBR</td>\n",
       "      <td>6.0</td>\n",
       "      <td>4.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1267</th>\n",
       "      <td>1267</td>\n",
       "      <td>23</td>\n",
       "      <td>98~Bronze_Medal_Game</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Women</td>\n",
       "      <td>MON  6 FEB 2017</td>\n",
       "      <td>16:00</td>\n",
       "      <td>SWE</td>\n",
       "      <td>SUI</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1268</th>\n",
       "      <td>1268</td>\n",
       "      <td>23</td>\n",
       "      <td>99~Gold_Medal_Game</td>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>Women</td>\n",
       "      <td>TUE  7 FEB 2017</td>\n",
       "      <td>9:00</td>\n",
       "      <td>RUS</td>\n",
       "      <td>CAN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1269 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        id  event_id                   session                    name sheet  \\\n",
       "0        0         0              03~Session_3                 Group-B     C   \n",
       "1        1         0              03~Session_3                 Group-A     B   \n",
       "2        2         0              03~Session_3                 Group-B     D   \n",
       "3        3         0              03~Session_3                 Group-A     A   \n",
       "4        4         0              05~Session_5                 Group-B     A   \n",
       "5        5         0              05~Session_5                 Group-B     B   \n",
       "6        6         0              05~Session_5                 Group-A     C   \n",
       "7        7         0              05~Session_5                 Group-A     D   \n",
       "8        8         0              07~Session_7                 Group-A     E   \n",
       "9        9         0              07~Session_7                 Group-B     D   \n",
       "10      10         0              07~Session_7                 Group-A     B   \n",
       "11      11         0              07~Session_7                 Group-B     C   \n",
       "12      12         0              09~Session_9                 Group-A     D   \n",
       "13      13         0              09~Session_9                 Group-A     A   \n",
       "14      14         0             10~Session_10                 Group-B     E   \n",
       "15      15         0             10~Session_10                 Group-B     C   \n",
       "16      16         0             12~Session_12                 Group-A     A   \n",
       "17      17         0             12~Session_12                 Group-B     D   \n",
       "18      18         0             12~Session_12                 Group-A     C   \n",
       "19      19         0             12~Session_12                 Group-B     B   \n",
       "20      20         0             14~Session_14                 Group-B     A   \n",
       "21      21         0             14~Session_14                 Group-A     B   \n",
       "22      22         0             14~Session_14                 Group-A     E   \n",
       "23      23         0             15~Session_15                 Group-B     A   \n",
       "24      24         0                 18~Finals                    None  None   \n",
       "25      25         0              01~Session_1                 Group-B     C   \n",
       "26      26         0              01~Session_1                 Group-A     B   \n",
       "27      27         0              01~Session_1                 Group-B     D   \n",
       "28      28         0              01~Session_1                 Group-A     A   \n",
       "29      29         0              04~Session_4                 Group-A     E   \n",
       "...    ...       ...                       ...                     ...   ...   \n",
       "1239  1239        22             36~Session_12  Round Robin Session 12     C   \n",
       "1240  1240        22             36~Session_12  Round Robin Session 12     B   \n",
       "1241  1241        22             36~Session_12  Round Robin Session 12     A   \n",
       "1242  1242        22            40~Semi-Finals              Semi-final     A   \n",
       "1243  1243        22            40~Semi-Finals              Semi-final     C   \n",
       "1244  1244        22      42~Bronze_Medal_Game       Bronze Medal Game     B   \n",
       "1245  1245        22        43~Gold_Medal_Game         Gold Medal Game     B   \n",
       "1246  1246        23              01~Session_1   Round Robin Session 1     C   \n",
       "1247  1247        23              02~Session_2   Round Robin Session 2     C   \n",
       "1248  1248        23              03~Session_3   Round Robin Session 3     C   \n",
       "1249  1249        23              04~Session_4   Round Robin Session 4     C   \n",
       "1250  1250        23              05~Session_5   Round Robin Session 5     C   \n",
       "1251  1251        23              06~Session_6   Round Robin Session 6     C   \n",
       "1252  1252        23              07~Session_7   Round Robin Session 7     C   \n",
       "1253  1253        23              08~Session_8   Round Robin Session 8     C   \n",
       "1254  1254        23              09~Session_9   Round Robin Session 9     C   \n",
       "1255  1255        23  93~Semi-Finals_Session_1             Semi-finals     A   \n",
       "1256  1256        23        99~Gold_Medal_Game                    None  None   \n",
       "1257  1257        23              01~Session_1   Round Robin Session 1     B   \n",
       "1258  1258        23              02~Session_2   Round Robin Session 2     C   \n",
       "1259  1259        23              03~Session_3   Round Robin Session 3     B   \n",
       "1260  1260        23              04~Session_4   Round Robin Session 4     B   \n",
       "1261  1261        23              05~Session_5   Round Robin Session 5     B   \n",
       "1262  1262        23              06~Session_6   Round Robin Session 6     C   \n",
       "1263  1263        23              07~Session_7   Round Robin Session 7     C   \n",
       "1264  1264        23              08~Session_8   Round Robin Session 8     C   \n",
       "1265  1265        23              09~Session_9   Round Robin Session 9     B   \n",
       "1266  1266        23            50~Tie-breaker     Tie-breaker Session     E   \n",
       "1267  1267        23      98~Bronze_Medal_Game                    None  None   \n",
       "1268  1268        23        99~Gold_Medal_Game                    None  None   \n",
       "\n",
       "       type       start_date start_time team_red team_yellow  final_score_red  \\\n",
       "0       Men  WED 12 SEP 2018      21:00      CAN         SUI              NaN   \n",
       "1       Men  WED 12 SEP 2018      21:00      NOR         CHN              NaN   \n",
       "2       Men  WED 12 SEP 2018      21:00      SCO         JPN              NaN   \n",
       "3       Men  WED 12 SEP 2018      21:00      SWE         USA              NaN   \n",
       "4       Men  THU 13 SEP 2018      12:00      CAN         SCO              NaN   \n",
       "5       Men  THU 13 SEP 2018      12:00      SUI         JPN              NaN   \n",
       "6       Men  THU 13 SEP 2018      12:00      SWE         NOR              NaN   \n",
       "7       Men  THU 13 SEP 2018      12:00      USA         CHN              NaN   \n",
       "8       Men  THU 13 SEP 2018      19:30      CHN         SWE              NaN   \n",
       "9       Men  THU 13 SEP 2018      19:30      JPN         CAN              NaN   \n",
       "10      Men  THU 13 SEP 2018      19:30      NOR         USA              NaN   \n",
       "11      Men  THU 13 SEP 2018      19:30      SCO         SUI              NaN   \n",
       "12      Men  FRI 14 SEP 2018      12:00      CHN         NOR              NaN   \n",
       "13      Men  FRI 14 SEP 2018      12:00      USA         SWE              NaN   \n",
       "14      Men  FRI 14 SEP 2018      16:00      JPN         SCO              NaN   \n",
       "15      Men  FRI 14 SEP 2018      16:00      SUI         CAN              NaN   \n",
       "16      Men  SAT 15 SEP 2018       8:30      CHN         USA              NaN   \n",
       "17      Men  SAT 15 SEP 2018       8:30      JPN         SUI              NaN   \n",
       "18      Men  SAT 15 SEP 2018       8:30      NOR         SWE              NaN   \n",
       "19      Men  SAT 15 SEP 2018       8:30      SCO         CAN              NaN   \n",
       "20      Men  SAT 15 SEP 2018      16:00      CAN         JPN              NaN   \n",
       "21      Men  SAT 15 SEP 2018      16:00      SWE         CHN              NaN   \n",
       "22      Men  SAT 15 SEP 2018      16:00      USA         NOR              NaN   \n",
       "23      Men  SAT 15 SEP 2018      19:30      SUI         SCO              NaN   \n",
       "24      Men  SUN 16 SEP 2018      16:00      CAN         NOR              NaN   \n",
       "25    Women  WED 12 SEP 2018      15:00      CAN         RUS              NaN   \n",
       "26    Women  WED 12 SEP 2018      15:00      JPN         SCO              NaN   \n",
       "27    Women  WED 12 SEP 2018      15:00      KOR         USA              NaN   \n",
       "28    Women  WED 12 SEP 2018      15:00      SWE         CHN              NaN   \n",
       "29    Women  THU 13 SEP 2018       8:30      SWE         JPN              NaN   \n",
       "...     ...              ...        ...      ...         ...              ...   \n",
       "1239  Women  WED 21 FEB 2018      20:05      OAR         CAN              8.0   \n",
       "1240  Women  WED 21 FEB 2018      20:05      SUI         JPN              8.0   \n",
       "1241  Women  WED 21 FEB 2018      20:05      SWE         USA              9.0   \n",
       "1242  Women  FRI 23 FEB 2018      20:05      KOR         JPN              8.0   \n",
       "1243  Women  FRI 23 FEB 2018      20:05      SWE         GBR             10.0   \n",
       "1244  Women  SAT 24 FEB 2018      20:05      GBR         JPN              3.0   \n",
       "1245  Women  SUN 25 FEB 2018       9:05      SWE         KOR              8.0   \n",
       "1246    Men  MON 30 JAN 2017      14:00      GBR         RUS              9.0   \n",
       "1247    Men  TUE 31 JAN 2017       9:00      NOR         KOR             12.0   \n",
       "1248    Men  TUE 31 JAN 2017      19:00      USA         SWE              7.0   \n",
       "1249    Men  WED  1 FEB 2017      14:00      JPN         KAZ              7.0   \n",
       "1250    Men  THU  2 FEB 2017       9:00      KOR         CZE              7.0   \n",
       "1251    Men  THU  2 FEB 2017      19:00      SWE         CAN              7.0   \n",
       "1252    Men  FRI  3 FEB 2017      14:00      RUS         USA              5.0   \n",
       "1253    Men  SAT  4 FEB 2017       9:00      CZE         JPN              8.0   \n",
       "1254    Men  SAT  4 FEB 2017      19:00      CAN         NOR              9.0   \n",
       "1255    Men  MON  6 FEB 2017       9:00      NOR         GBR              8.0   \n",
       "1256    Men  TUE  7 FEB 2017      14:00      SWE         GBR              6.0   \n",
       "1257  Women  MON 30 JAN 2017       9:00      GBR         RUS              3.0   \n",
       "1258  Women  MON 30 JAN 2017      19:00      CHN         SWE              5.0   \n",
       "1259  Women  TUE 31 JAN 2017      14:00      SWE         CAN              3.0   \n",
       "1260  Women  WED  1 FEB 2017       9:00      KAZ         NOR              4.0   \n",
       "1261  Women  WED  1 FEB 2017      19:00      CHN         SUI              4.0   \n",
       "1262  Women  THU  2 FEB 2017      14:00      NOR         GBR              6.0   \n",
       "1263  Women  FRI  3 FEB 2017       9:00      GER         SUI              4.0   \n",
       "1264  Women  FRI  3 FEB 2017      19:00      KOR         CAN              2.0   \n",
       "1265  Women  SAT  4 FEB 2017      14:00      KOR         GER              8.0   \n",
       "1266  Women  SUN  5 FEB 2017       9:00      SUI         GBR              6.0   \n",
       "1267  Women  MON  6 FEB 2017      16:00      SWE         SUI              6.0   \n",
       "1268  Women  TUE  7 FEB 2017       9:00      RUS         CAN              3.0   \n",
       "\n",
       "      final_score_yellow  \n",
       "0                    NaN  \n",
       "1                    NaN  \n",
       "2                    NaN  \n",
       "3                    NaN  \n",
       "4                    NaN  \n",
       "5                    NaN  \n",
       "6                    NaN  \n",
       "7                    NaN  \n",
       "8                    NaN  \n",
       "9                    NaN  \n",
       "10                   NaN  \n",
       "11                   NaN  \n",
       "12                   NaN  \n",
       "13                   NaN  \n",
       "14                   NaN  \n",
       "15                   NaN  \n",
       "16                   NaN  \n",
       "17                   NaN  \n",
       "18                   NaN  \n",
       "19                   NaN  \n",
       "20                   NaN  \n",
       "21                   NaN  \n",
       "22                   NaN  \n",
       "23                   NaN  \n",
       "24                   NaN  \n",
       "25                   NaN  \n",
       "26                   NaN  \n",
       "27                   NaN  \n",
       "28                   NaN  \n",
       "29                   NaN  \n",
       "...                  ...  \n",
       "1239                 9.0  \n",
       "1240                 4.0  \n",
       "1241                 6.0  \n",
       "1242                 7.0  \n",
       "1243                 5.0  \n",
       "1244                 5.0  \n",
       "1245                 3.0  \n",
       "1246                 5.0  \n",
       "1247                 4.0  \n",
       "1248                 6.0  \n",
       "1249                 3.0  \n",
       "1250                 8.0  \n",
       "1251                 5.0  \n",
       "1252                 7.0  \n",
       "1253                 3.0  \n",
       "1254                 5.0  \n",
       "1255                 9.0  \n",
       "1256                 8.0  \n",
       "1257                 7.0  \n",
       "1258                 6.0  \n",
       "1259                 5.0  \n",
       "1260                10.0  \n",
       "1261                 6.0  \n",
       "1262                 7.0  \n",
       "1263                 5.0  \n",
       "1264                 8.0  \n",
       "1265                 4.0  \n",
       "1266                 4.0  \n",
       "1267                 3.0  \n",
       "1268                 8.0  \n",
       "\n",
       "[1269 rows x 12 columns]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\"\n",
    "SELECT * FROM games\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The games table is much larger, holding data for 1269 games played in the 24 events in the events table.  First, let's take a look at each of the columns to see where data may be missing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "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>session</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01~Session_1</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>01~Session_2</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>02~Bronze_Medal_Game</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>02~Session_1</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>02~Session_2</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>03~Session_1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>03~Session_2</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>03~Session_3</td>\n",
       "      <td>55</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>04~Session_2</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>04~Session_3</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>04~Session_4</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>04~Session_5</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>05~Session_2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>05~Session_3</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>05~Session_5</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>06~Session_3</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>06~Session_4</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>06~Session_6</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>07~Session_3</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>07~Session_4</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>07~Session_5</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>07~Session_7</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>07~Session_8</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>08~Session_4</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>08~Session_5</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>08~Session_8</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>09~Session_4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>09~Session_5</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>09~Session_7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>09~Session_9</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100</th>\n",
       "      <td>25~Gold_Medal_Game</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>101</th>\n",
       "      <td>25~Session_7</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>102</th>\n",
       "      <td>25~WCh_Challenge</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103</th>\n",
       "      <td>26~Session_7</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>104</th>\n",
       "      <td>27~Session_8</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>105</th>\n",
       "      <td>28~Session_8</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106</th>\n",
       "      <td>29~Session_9</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>107</th>\n",
       "      <td>30~Session_9</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>108</th>\n",
       "      <td>31~Session_10</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>109</th>\n",
       "      <td>32~Session_10</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>110</th>\n",
       "      <td>33~Session_11</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>111</th>\n",
       "      <td>34~Session_11</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>112</th>\n",
       "      <td>35~Session_12</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>113</th>\n",
       "      <td>36~Session_12</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>114</th>\n",
       "      <td>37~Tie-breaker</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>115</th>\n",
       "      <td>38~Semi-Finals</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>116</th>\n",
       "      <td>39~Bronze_Medal_Game</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117</th>\n",
       "      <td>40~Semi-Finals</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>118</th>\n",
       "      <td>41~Gold_Medal_Game</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>119</th>\n",
       "      <td>42~Bronze_Medal_Game</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>43~Gold_Medal_Game</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>50~Tie-breaker</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>122</th>\n",
       "      <td>92~Page_Play-offs</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123</th>\n",
       "      <td>92~Page_Play-offs_Session_1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>124</th>\n",
       "      <td>92~Page_Play-offs_Session_2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>125</th>\n",
       "      <td>93~Semi-Finals</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>126</th>\n",
       "      <td>93~Semi-Finals_Session_1</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>127</th>\n",
       "      <td>97~Finals</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>128</th>\n",
       "      <td>98~Bronze_Medal_Game</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>129</th>\n",
       "      <td>99~Gold_Medal_Game</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>130 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         session  COUNT(*)\n",
       "0                   01~Session_1        72\n",
       "1                   01~Session_2         1\n",
       "2           02~Bronze_Medal_Game         1\n",
       "3                   02~Session_1        15\n",
       "4                   02~Session_2        53\n",
       "5                   03~Session_1         3\n",
       "6                   03~Session_2        15\n",
       "7                   03~Session_3        55\n",
       "8                   04~Session_2        14\n",
       "9                   04~Session_3         4\n",
       "10                  04~Session_4        47\n",
       "11                  04~Session_5         3\n",
       "12                  05~Session_2         3\n",
       "13                  05~Session_3        14\n",
       "14                  05~Session_5        61\n",
       "15                  06~Session_3        15\n",
       "16                  06~Session_4         5\n",
       "17                  06~Session_6        42\n",
       "18                  07~Session_3         3\n",
       "19                  07~Session_4         9\n",
       "20                  07~Session_5         1\n",
       "21                  07~Session_7        59\n",
       "22                  07~Session_8         3\n",
       "23                  08~Session_4        10\n",
       "24                  08~Session_5         4\n",
       "25                  08~Session_8        53\n",
       "26                  09~Session_4         3\n",
       "27                  09~Session_5         8\n",
       "28                  09~Session_7         1\n",
       "29                  09~Session_9        57\n",
       "..                           ...       ...\n",
       "100           25~Gold_Medal_Game         1\n",
       "101                 25~Session_7         3\n",
       "102             25~WCh_Challenge         2\n",
       "103                 26~Session_7         3\n",
       "104                 27~Session_8         4\n",
       "105                 28~Session_8         4\n",
       "106                 29~Session_9         4\n",
       "107                 30~Session_9         4\n",
       "108                31~Session_10         4\n",
       "109                32~Session_10         3\n",
       "110                33~Session_11         3\n",
       "111                34~Session_11         4\n",
       "112                35~Session_12         4\n",
       "113                36~Session_12         4\n",
       "114               37~Tie-breaker         1\n",
       "115               38~Semi-Finals         2\n",
       "116         39~Bronze_Medal_Game         1\n",
       "117               40~Semi-Finals         2\n",
       "118           41~Gold_Medal_Game         1\n",
       "119         42~Bronze_Medal_Game         1\n",
       "120           43~Gold_Medal_Game         1\n",
       "121               50~Tie-breaker         5\n",
       "122            92~Page_Play-offs         6\n",
       "123  92~Page_Play-offs_Session_1         2\n",
       "124  92~Page_Play-offs_Session_2         2\n",
       "125               93~Semi-Finals         5\n",
       "126     93~Semi-Finals_Session_1         5\n",
       "127                    97~Finals         4\n",
       "128         98~Bronze_Medal_Game         6\n",
       "129           99~Gold_Medal_Game         7\n",
       "\n",
       "[130 rows x 2 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT session, COUNT(*) FROM games\n",
    "GROUP BY session\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are a lot of session name codes, and the naming is not terribly consistent (there are additional numeric codes at the beginning).  That said, I don't anticipate these playing a role in the analysis of this data at this point, so I won't make any changes here at this time.  At least based on the alphabetical listing we can be sure that there are no NaN or None entries, so this data was at least extracted faithfully from the folder names."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "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>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bronze Medal Game</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Final</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Finals</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Gold Medal Game</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Group-A</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Group-B</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>None</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Page Play-off 1v2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Page Play-off 3v4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Page Play-offs</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Qualification Game 3 v 6</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Qualification Game 4 v 5</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Round Robin Session 1</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Round Robin Session 10</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Round Robin Session 11</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Round Robin Session 12</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Round Robin Session 13</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Round Robin Session 14</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Round Robin Session 15</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Round Robin Session 16</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Round Robin Session 17</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Round Robin Session 18</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Round Robin Session 19</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Round Robin Session 2</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Round Robin Session 20</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Round Robin Session 3</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Round Robin Session 4</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Round Robin Session 5</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Round Robin Session 6</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Round Robin Session 7</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Round Robin Session 8</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Round Robin Session 9</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Semi-final</td>\n",
       "      <td>30</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>Semi-final 1</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Semi-final 2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Semi-finals</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Tie-breaker</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>Tie-breaker Session</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Tie-breakers</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        name  COUNT(*)\n",
       "0          Bronze Medal Game         9\n",
       "1                      Final         4\n",
       "2                     Finals         4\n",
       "3            Gold Medal Game        10\n",
       "4                    Group-A        87\n",
       "5                    Group-B        74\n",
       "6                       None        35\n",
       "7          Page Play-off 1v2         3\n",
       "8          Page Play-off 3v4         3\n",
       "9             Page Play-offs         4\n",
       "10  Qualification Game 3 v 6         2\n",
       "11  Qualification Game 4 v 5         2\n",
       "12     Round Robin Session 1        89\n",
       "13    Round Robin Session 10        35\n",
       "14    Round Robin Session 11        36\n",
       "15    Round Robin Session 12        36\n",
       "16    Round Robin Session 13        19\n",
       "17    Round Robin Session 14        20\n",
       "18    Round Robin Session 15        20\n",
       "19    Round Robin Session 16        20\n",
       "20    Round Robin Session 17        20\n",
       "21    Round Robin Session 18         8\n",
       "22    Round Robin Session 19         8\n",
       "23     Round Robin Session 2        92\n",
       "24    Round Robin Session 20         8\n",
       "25     Round Robin Session 3        85\n",
       "26     Round Robin Session 4        86\n",
       "27     Round Robin Session 5        92\n",
       "28     Round Robin Session 6        82\n",
       "29     Round Robin Session 7        82\n",
       "30     Round Robin Session 8        77\n",
       "31     Round Robin Session 9        76\n",
       "32                Semi-final        30\n",
       "33              Semi-final 1         2\n",
       "34              Semi-final 2         2\n",
       "35               Semi-finals         1\n",
       "36               Tie-breaker         2\n",
       "37       Tie-breaker Session         1\n",
       "38              Tie-breakers         3"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT name, COUNT(*) FROM games\n",
    "GROUP BY name\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The name field provides a little bit more consistency in establishing the session, though we do end up with some inconsistencies in how \"Semi Finals\" and \"Finals\" are named, as well as a few instances where the PDF file departed from the standard format (the sessions were broken into \"Group-A\" and \"Group-B\").  There are a few entries showing as \"None\".  Let's see where those come from."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\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>session</th>\n",
       "      <th>name</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15~Play-Off_1</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>16~Play-Off_1</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>17~Finals</td>\n",
       "      <td>None</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>17~Play-Off_2</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>18~Finals</td>\n",
       "      <td>None</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>18~Play-Off_2</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>20~Finals</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>21~Bronze_Medal_Game</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>21~Finals</td>\n",
       "      <td>None</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>22~Finals</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>22~Gold_Medal_Game</td>\n",
       "      <td>None</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>23~Finals</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>23~Gold_Medal_Game</td>\n",
       "      <td>None</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>24~Bronze_Medal_Game</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>25~Gold_Medal_Game</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>25~WCh_Challenge</td>\n",
       "      <td>None</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>92~Page_Play-offs</td>\n",
       "      <td>None</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>93~Semi-Finals</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>98~Bronze_Medal_Game</td>\n",
       "      <td>None</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>99~Gold_Medal_Game</td>\n",
       "      <td>None</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 session  name  COUNT(*)\n",
       "0          15~Play-Off_1  None         1\n",
       "1          16~Play-Off_1  None         1\n",
       "2              17~Finals  None         2\n",
       "3          17~Play-Off_2  None         1\n",
       "4              18~Finals  None         2\n",
       "5          18~Play-Off_2  None         1\n",
       "6              20~Finals  None         1\n",
       "7   21~Bronze_Medal_Game  None         1\n",
       "8              21~Finals  None         3\n",
       "9              22~Finals  None         1\n",
       "10    22~Gold_Medal_Game  None         2\n",
       "11             23~Finals  None         1\n",
       "12    23~Gold_Medal_Game  None         2\n",
       "13  24~Bronze_Medal_Game  None         1\n",
       "14    25~Gold_Medal_Game  None         1\n",
       "15      25~WCh_Challenge  None         2\n",
       "16     92~Page_Play-offs  None         2\n",
       "17        93~Semi-Finals  None         1\n",
       "18  98~Bronze_Medal_Game  None         4\n",
       "19    99~Gold_Medal_Game  None         5"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT session, name, COUNT(*) FROM games\n",
    "WHERE name = 'None'\n",
    "GROUP BY session\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So, how the summary PDFs for \"close to the finals\"-type games were organized sometimes left the populate_db code returning \"None\" for the game's name field sometimes.  If we need this information, \"session\" and \"name\" are somewhat redundant, so this can be reconstructed.  Not anticipating using this field at the moment, I will move on to the next column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "    <tr style=\"text-align: right;\">\n",
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       "      <th>sheet</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A</td>\n",
       "      <td>267</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B</td>\n",
       "      <td>298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>C</td>\n",
       "      <td>308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>D</td>\n",
       "      <td>273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>E</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>None</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  sheet  COUNT(*)\n",
       "0     A       267\n",
       "1     B       298\n",
       "2     C       308\n",
       "3     D       273\n",
       "4     E        88\n",
       "5  None        35"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT sheet, COUNT(*) FROM games\n",
    "GROUP BY sheet\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once again, most of the games have a reasonably sheet number available, which could maybe be used to look at whether specific sheets had problems during a specific event.  As for the entries with sheet = None:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>session</th>\n",
       "      <th>sheet</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>15~Play-Off_1</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>16~Play-Off_1</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>17~Finals</td>\n",
       "      <td>None</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>17~Play-Off_2</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>18~Finals</td>\n",
       "      <td>None</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>18~Play-Off_2</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>20~Finals</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>21~Bronze_Medal_Game</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>21~Finals</td>\n",
       "      <td>None</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>22~Finals</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>22~Gold_Medal_Game</td>\n",
       "      <td>None</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>23~Finals</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>23~Gold_Medal_Game</td>\n",
       "      <td>None</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>24~Bronze_Medal_Game</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>25~Gold_Medal_Game</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>25~WCh_Challenge</td>\n",
       "      <td>None</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>92~Page_Play-offs</td>\n",
       "      <td>None</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>93~Semi-Finals</td>\n",
       "      <td>None</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>98~Bronze_Medal_Game</td>\n",
       "      <td>None</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>99~Gold_Medal_Game</td>\n",
       "      <td>None</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                 session sheet  COUNT(*)\n",
       "0          15~Play-Off_1  None         1\n",
       "1          16~Play-Off_1  None         1\n",
       "2              17~Finals  None         2\n",
       "3          17~Play-Off_2  None         1\n",
       "4              18~Finals  None         2\n",
       "5          18~Play-Off_2  None         1\n",
       "6              20~Finals  None         1\n",
       "7   21~Bronze_Medal_Game  None         1\n",
       "8              21~Finals  None         3\n",
       "9              22~Finals  None         1\n",
       "10    22~Gold_Medal_Game  None         2\n",
       "11             23~Finals  None         1\n",
       "12    23~Gold_Medal_Game  None         2\n",
       "13  24~Bronze_Medal_Game  None         1\n",
       "14    25~Gold_Medal_Game  None         1\n",
       "15      25~WCh_Challenge  None         2\n",
       "16     92~Page_Play-offs  None         2\n",
       "17        93~Semi-Finals  None         1\n",
       "18  98~Bronze_Medal_Game  None         4\n",
       "19    99~Gold_Medal_Game  None         5"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT session, sheet, COUNT(*) FROM games\n",
    "WHERE sheet = 'None'\n",
    "GROUP BY session\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is the same issue that affected the game name field.  Here, though, the information can't be recovered from another field.  That said, it's just a small number of games affected (35 out of 1269), so really any analysis using sheet number could probably drop them safely, unless their focus was on the \"close to the finals\" games (which these may represent a significant fraction of.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "        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>type</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Men</td>\n",
       "      <td>665</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Women</td>\n",
       "      <td>604</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    type  COUNT(*)\n",
       "0    Men       665\n",
       "1  Women       604"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT type, COUNT(*) FROM games\n",
    "GROUP BY type\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A game's \"type\" indicates whether it was a Men's game or a Women's game.  The World Curling Federation also takes data for a game format called \"Mixed Doubles\", though for these analyses I restricted myself to the traditional game format.  We can tell here that all games were tagged as Men or Women games, and that there are pretty close to an equal number of each.  However, the difference is 10%, so we should not assume an equal number of Men's and Women's games. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "\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>start_date</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>FRI  3 FEB 2017</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>FRI  7 APR 2017</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>FRI  8 APR 2016</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>FRI 1 FEB 2019</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>FRI 10 MAY 2019</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>FRI 14 SEP 2018</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>FRI 16 FEB 2018</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>FRI 17 FEB 2017</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>FRI 22 FEB 2019</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>FRI 23 FEB 2018</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>FRI 23 MAR 2018</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>FRI 23 NOV 2018</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>FRI 24 FEB 2017</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>FRI 24 MAR 2017</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>FRI 24 NOV 2017</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>FRI 25 NOV 2016</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>FRI 3 NOV 2017</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>FRI 6 APR 2018</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>FRI 7 DEC 2018</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>FRI 8 DEC 2017</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>FRI 9 MAR 2018</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>FRI 9 NOV 2018</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>MON  3 APR 2017</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>MON  4 APR 2016</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>MON  6 FEB 2017</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>MON 18 FEB 2019</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>MON 19 FEB 2018</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>MON 19 MAR 2018</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>MON 19 NOV 2018</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>MON 2 APR 2018</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>TUE 21 MAR 2017</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>TUE 21 NOV 2017</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>TUE 22 NOV 2016</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>TUE 3 APR 2018</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>TUE 31 JAN 2017</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>TUE 5 DEC 2017</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>TUE 6 MAR 2018</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>TUE 6 NOV 2018</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>TUE 7 NOV 2017</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>WED  1 FEB 2017</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>WED  5 APR 2017</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>WED  6 APR 2016</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>WED 12 SEP 2018</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>WED 14 FEB 2018</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>WED 20 FEB 2019</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>WED 21 FEB 2018</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>WED 21 MAR 2018</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>WED 21 NOV 2018</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>WED 22 FEB 2017</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>WED 22 MAR 2017</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>WED 22 NOV 2017</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>WED 23 NOV 2016</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>WED 30 JAN 2019</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>WED 4 APR 2018</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>WED 5 DEC 2018</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>WED 6 DEC 2017</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>WED 7 MAR 2018</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>WED 7 NOV 2018</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>WED 8 MAY 2019</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>WED 8 NOV 2017</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>160 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          start_date  COUNT(*)\n",
       "0    FRI  3 FEB 2017         3\n",
       "1    FRI  7 APR 2017         1\n",
       "2    FRI  8 APR 2016         1\n",
       "3     FRI 1 FEB 2019        12\n",
       "4    FRI 10 MAY 2019        12\n",
       "5    FRI 14 SEP 2018        12\n",
       "6    FRI 16 FEB 2018        10\n",
       "7    FRI 17 FEB 2017        12\n",
       "8    FRI 22 FEB 2019         2\n",
       "9    FRI 23 FEB 2018         3\n",
       "10   FRI 23 MAR 2018        12\n",
       "11   FRI 23 NOV 2018         4\n",
       "12   FRI 24 FEB 2017         7\n",
       "13   FRI 24 MAR 2017         2\n",
       "14   FRI 24 NOV 2017         6\n",
       "15   FRI 25 NOV 2016         4\n",
       "16    FRI 3 NOV 2017         4\n",
       "17    FRI 6 APR 2018        12\n",
       "18    FRI 7 DEC 2018         3\n",
       "19    FRI 8 DEC 2017        11\n",
       "20    FRI 9 MAR 2018         2\n",
       "21    FRI 9 NOV 2018         3\n",
       "22   MON  3 APR 2017        12\n",
       "23   MON  4 APR 2016        11\n",
       "24   MON  6 FEB 2017         2\n",
       "25   MON 18 FEB 2019         2\n",
       "26   MON 19 FEB 2018        12\n",
       "27   MON 19 MAR 2018        10\n",
       "28   MON 19 NOV 2018        20\n",
       "29    MON 2 APR 2018        10\n",
       "..               ...       ...\n",
       "130  TUE 21 MAR 2017        14\n",
       "131  TUE 21 NOV 2017        15\n",
       "132  TUE 22 NOV 2016        15\n",
       "133   TUE 3 APR 2018        12\n",
       "134  TUE 31 JAN 2017         3\n",
       "135   TUE 5 DEC 2017         7\n",
       "136   TUE 6 MAR 2018         2\n",
       "137   TUE 6 NOV 2018        14\n",
       "138   TUE 7 NOV 2017         2\n",
       "139  WED  1 FEB 2017         3\n",
       "140  WED  5 APR 2017        12\n",
       "141  WED  6 APR 2016        12\n",
       "142  WED 12 SEP 2018         8\n",
       "143  WED 14 FEB 2018        12\n",
       "144  WED 20 FEB 2019         2\n",
       "145  WED 21 FEB 2018        12\n",
       "146  WED 21 MAR 2018        10\n",
       "147  WED 21 NOV 2018        15\n",
       "148  WED 22 FEB 2017        11\n",
       "149  WED 22 MAR 2017        12\n",
       "150  WED 22 NOV 2017        15\n",
       "151  WED 23 NOV 2016        20\n",
       "152  WED 30 JAN 2019         8\n",
       "153   WED 4 APR 2018        12\n",
       "154   WED 5 DEC 2018         3\n",
       "155   WED 6 DEC 2017        14\n",
       "156   WED 7 MAR 2018         2\n",
       "157   WED 7 NOV 2018        11\n",
       "158   WED 8 MAY 2019         8\n",
       "159   WED 8 NOV 2017         2\n",
       "\n",
       "[160 rows x 2 columns]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT start_date, COUNT(*) FROM games\n",
    "GROUP BY start_date\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That's a lot of dates, as we'd expect.  To make sure they're all valid, since we know that none of the games we're considering were played before 2010, we'll add the condition onto that query that the field must contain \" 201\" (i.e. contains the year.)  If we get to the point where we're considering game dates, we can check the formatting more closely then."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>start_date</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>FRI  3 FEB 2017</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>FRI  7 APR 2017</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>FRI  8 APR 2016</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>FRI 1 FEB 2019</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>FRI 10 MAY 2019</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>FRI 14 SEP 2018</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>FRI 16 FEB 2018</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>FRI 17 FEB 2017</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>FRI 22 FEB 2019</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>FRI 23 FEB 2018</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>FRI 23 MAR 2018</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>FRI 23 NOV 2018</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>FRI 24 FEB 2017</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>FRI 24 MAR 2017</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>FRI 24 NOV 2017</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>FRI 25 NOV 2016</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>FRI 3 NOV 2017</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>FRI 6 APR 2018</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>FRI 7 DEC 2018</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>FRI 8 DEC 2017</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>FRI 9 MAR 2018</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>FRI 9 NOV 2018</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>MON  3 APR 2017</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>MON  4 APR 2016</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>MON  6 FEB 2017</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>MON 18 FEB 2019</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>MON 19 FEB 2018</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>MON 19 MAR 2018</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>MON 19 NOV 2018</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>MON 2 APR 2018</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>130</th>\n",
       "      <td>TUE 21 MAR 2017</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>131</th>\n",
       "      <td>TUE 21 NOV 2017</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132</th>\n",
       "      <td>TUE 22 NOV 2016</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>133</th>\n",
       "      <td>TUE 3 APR 2018</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>134</th>\n",
       "      <td>TUE 31 JAN 2017</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>TUE 5 DEC 2017</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>136</th>\n",
       "      <td>TUE 6 MAR 2018</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>137</th>\n",
       "      <td>TUE 6 NOV 2018</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>138</th>\n",
       "      <td>TUE 7 NOV 2017</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>139</th>\n",
       "      <td>WED  1 FEB 2017</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>140</th>\n",
       "      <td>WED  5 APR 2017</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141</th>\n",
       "      <td>WED  6 APR 2016</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>142</th>\n",
       "      <td>WED 12 SEP 2018</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>143</th>\n",
       "      <td>WED 14 FEB 2018</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>WED 20 FEB 2019</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>WED 21 FEB 2018</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>WED 21 MAR 2018</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>WED 21 NOV 2018</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>WED 22 FEB 2017</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>WED 22 MAR 2017</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>150</th>\n",
       "      <td>WED 22 NOV 2017</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>151</th>\n",
       "      <td>WED 23 NOV 2016</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>152</th>\n",
       "      <td>WED 30 JAN 2019</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>153</th>\n",
       "      <td>WED 4 APR 2018</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>154</th>\n",
       "      <td>WED 5 DEC 2018</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>WED 6 DEC 2017</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156</th>\n",
       "      <td>WED 7 MAR 2018</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>157</th>\n",
       "      <td>WED 7 NOV 2018</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>158</th>\n",
       "      <td>WED 8 MAY 2019</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>159</th>\n",
       "      <td>WED 8 NOV 2017</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>160 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          start_date  COUNT(*)\n",
       "0    FRI  3 FEB 2017         3\n",
       "1    FRI  7 APR 2017         1\n",
       "2    FRI  8 APR 2016         1\n",
       "3     FRI 1 FEB 2019        12\n",
       "4    FRI 10 MAY 2019        12\n",
       "5    FRI 14 SEP 2018        12\n",
       "6    FRI 16 FEB 2018        10\n",
       "7    FRI 17 FEB 2017        12\n",
       "8    FRI 22 FEB 2019         2\n",
       "9    FRI 23 FEB 2018         3\n",
       "10   FRI 23 MAR 2018        12\n",
       "11   FRI 23 NOV 2018         4\n",
       "12   FRI 24 FEB 2017         7\n",
       "13   FRI 24 MAR 2017         2\n",
       "14   FRI 24 NOV 2017         6\n",
       "15   FRI 25 NOV 2016         4\n",
       "16    FRI 3 NOV 2017         4\n",
       "17    FRI 6 APR 2018        12\n",
       "18    FRI 7 DEC 2018         3\n",
       "19    FRI 8 DEC 2017        11\n",
       "20    FRI 9 MAR 2018         2\n",
       "21    FRI 9 NOV 2018         3\n",
       "22   MON  3 APR 2017        12\n",
       "23   MON  4 APR 2016        11\n",
       "24   MON  6 FEB 2017         2\n",
       "25   MON 18 FEB 2019         2\n",
       "26   MON 19 FEB 2018        12\n",
       "27   MON 19 MAR 2018        10\n",
       "28   MON 19 NOV 2018        20\n",
       "29    MON 2 APR 2018        10\n",
       "..               ...       ...\n",
       "130  TUE 21 MAR 2017        14\n",
       "131  TUE 21 NOV 2017        15\n",
       "132  TUE 22 NOV 2016        15\n",
       "133   TUE 3 APR 2018        12\n",
       "134  TUE 31 JAN 2017         3\n",
       "135   TUE 5 DEC 2017         7\n",
       "136   TUE 6 MAR 2018         2\n",
       "137   TUE 6 NOV 2018        14\n",
       "138   TUE 7 NOV 2017         2\n",
       "139  WED  1 FEB 2017         3\n",
       "140  WED  5 APR 2017        12\n",
       "141  WED  6 APR 2016        12\n",
       "142  WED 12 SEP 2018         8\n",
       "143  WED 14 FEB 2018        12\n",
       "144  WED 20 FEB 2019         2\n",
       "145  WED 21 FEB 2018        12\n",
       "146  WED 21 MAR 2018        10\n",
       "147  WED 21 NOV 2018        15\n",
       "148  WED 22 FEB 2017        11\n",
       "149  WED 22 MAR 2017        12\n",
       "150  WED 22 NOV 2017        15\n",
       "151  WED 23 NOV 2016        20\n",
       "152  WED 30 JAN 2019         8\n",
       "153   WED 4 APR 2018        12\n",
       "154   WED 5 DEC 2018         3\n",
       "155   WED 6 DEC 2017        14\n",
       "156   WED 7 MAR 2018         2\n",
       "157   WED 7 NOV 2018        11\n",
       "158   WED 8 MAY 2019         8\n",
       "159   WED 8 NOV 2017         2\n",
       "\n",
       "[160 rows x 2 columns]"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT start_date, COUNT(*) FROM games\n",
    "WHERE start_date LIKE '% 201%'\n",
    "GROUP BY start_date\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are 160 rows in this check, and 160 rows in the original query, so the date column appears reasonable, at least for now.  Let's move on to the time column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>start_time</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>10:00</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>12:00</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>12:30</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>13:00</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>13:30</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>14:00</td>\n",
       "      <td>245</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>14:05</td>\n",
       "      <td>29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>15:00</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>15:35</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>16:00</td>\n",
       "      <td>68</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>16:30</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>17:00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>17:30</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>18:00</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>18:30</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>19:00</td>\n",
       "      <td>255</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>19:30</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>20:00</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>20:05</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20:30</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>21:00</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>8:00</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>8:30</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>9:00</td>\n",
       "      <td>219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>9:05</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   start_time  COUNT(*)\n",
       "0       10:00         8\n",
       "1       12:00        77\n",
       "2       12:30         1\n",
       "3       13:00         9\n",
       "4       13:30        34\n",
       "5       14:00       245\n",
       "6       14:05        29\n",
       "7       15:00        28\n",
       "8       15:35         2\n",
       "9       16:00        68\n",
       "10      16:30         1\n",
       "11      17:00         1\n",
       "12      17:30         4\n",
       "13      18:00         1\n",
       "14      18:30        33\n",
       "15      19:00       255\n",
       "16      19:30        36\n",
       "17      20:00        47\n",
       "18      20:05        36\n",
       "19      20:30         4\n",
       "20      21:00        10\n",
       "21       8:00        33\n",
       "22       8:30        56\n",
       "23       9:00       219\n",
       "24       9:05        32"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT start_time, COUNT(*) FROM games\n",
    "GROUP BY start_time\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "All of those start times look reasonable.  Let's move on to the team codes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "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>team_red</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AUS</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AUT</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CAN</td>\n",
       "      <td>94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CAN1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CAN2</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CHN</td>\n",
       "      <td>74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CZE</td>\n",
       "      <td>34</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>DEN</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>FIN</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>GBR</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>GER</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>HKG</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>HUN</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>ITA</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>JPN</td>\n",
       "      <td>73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>KAZ</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>KOR</td>\n",
       "      <td>78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>LAT</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NED</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>NOR</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>NZL</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>OAR</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>POL</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>QAT</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>RUS</td>\n",
       "      <td>86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>SCO</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>SUI</td>\n",
       "      <td>97</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>SVK</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>SWE</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>TPE</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>TUR</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>USA</td>\n",
       "      <td>82</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   team_red  COUNT(*)\n",
       "0       AUS         9\n",
       "1       AUT        10\n",
       "2       CAN        94\n",
       "3      CAN1         3\n",
       "4      CAN2         3\n",
       "5       CHN        74\n",
       "6       CZE        34\n",
       "7       DEN        58\n",
       "8       FIN        31\n",
       "9       GBR        11\n",
       "10      GER        70\n",
       "11      HKG         8\n",
       "12      HUN         8\n",
       "13      ITA        72\n",
       "14      JPN        73\n",
       "15      KAZ         8\n",
       "16      KOR        78\n",
       "17      LAT         9\n",
       "18      NED        24\n",
       "19      NOR        63\n",
       "20      NZL         8\n",
       "21      OAR         5\n",
       "22      POL         4\n",
       "23      QAT         7\n",
       "24      RUS        86\n",
       "25      SCO       102\n",
       "26      SUI        97\n",
       "27      SVK         4\n",
       "28      SWE       116\n",
       "29      TPE         4\n",
       "30      TUR        14\n",
       "31      USA        82"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT team_red, COUNT(*) FROM games\n",
    "GROUP BY team_red\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>team_yellow</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AUS</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AUT</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CAN</td>\n",
       "      <td>89</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CAN1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CAN2</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CHN</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CZE</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>DEN</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>FIN</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>GBR</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>GER</td>\n",
       "      <td>63</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>HKG</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>HUN</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>ITA</td>\n",
       "      <td>69</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>JPN</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>KAZ</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>KOR</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>LAT</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NED</td>\n",
       "      <td>24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>NOR</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>NZL</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>OAR</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>POL</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>QAT</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>RUS</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>SCO</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>SUI</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>SVK</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>SWE</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>TPE</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>TUR</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>USA</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   team_yellow  COUNT(*)\n",
       "0          AUS         9\n",
       "1          AUT         9\n",
       "2          CAN        89\n",
       "3         CAN1         3\n",
       "4         CAN2         4\n",
       "5          CHN        76\n",
       "6          CZE        33\n",
       "7          DEN        54\n",
       "8          FIN        35\n",
       "9          GBR        16\n",
       "10         GER        63\n",
       "11         HKG         8\n",
       "12         HUN        11\n",
       "13         ITA        69\n",
       "14         JPN        70\n",
       "15         KAZ         8\n",
       "16         KOR        75\n",
       "17         LAT         9\n",
       "18         NED        24\n",
       "19         NOR        61\n",
       "20         NZL         9\n",
       "21         OAR         4\n",
       "22         POL         5\n",
       "23         QAT         7\n",
       "24         RUS        85\n",
       "25         SCO        98\n",
       "26         SUI       105\n",
       "27         SVK         5\n",
       "28         SWE       122\n",
       "29         TPE         4\n",
       "30         TUR        14\n",
       "31         USA        85"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT team_yellow, COUNT(*) FROM games\n",
    "GROUP BY team_yellow\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "team_red and team_yellow all contain country codes, as expected.  Normally 3 letters, though it appears (rows 3 and 4) that Canada entered two teams (CAN1 and CAN2) into an event.  Finally, let's look at the final scores:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>final_score_red</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>19</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.0</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
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       "      <th>4</th>\n",
       "      <td>3.0</td>\n",
       "      <td>107</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4.0</td>\n",
       "      <td>107</td>\n",
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       "      <th>6</th>\n",
       "      <td>5.0</td>\n",
       "      <td>129</td>\n",
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       "      <th>7</th>\n",
       "      <td>6.0</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7.0</td>\n",
       "      <td>154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>8.0</td>\n",
       "      <td>162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9.0</td>\n",
       "      <td>87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>10.0</td>\n",
       "      <td>59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>11.0</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>12.0</td>\n",
       "      <td>13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>13.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>14.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>15.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>16.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>20.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    final_score_red  COUNT(*)\n",
       "0               NaN       169\n",
       "1               0.0         4\n",
       "2               1.0        19\n",
       "3               2.0        57\n",
       "4               3.0       107\n",
       "5               4.0       107\n",
       "6               5.0       129\n",
       "7               6.0       160\n",
       "8               7.0       154\n",
       "9               8.0       162\n",
       "10              9.0        87\n",
       "11             10.0        59\n",
       "12             11.0        31\n",
       "13             12.0        13\n",
       "14             13.0         5\n",
       "15             14.0         2\n",
       "16             15.0         2\n",
       "17             16.0         1\n",
       "18             20.0         1"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT final_score_red, COUNT(*) FROM games\n",
    "GROUP BY final_score_red\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>final_score_yellow</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
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       "      <td>2.0</td>\n",
       "      <td>52</td>\n",
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       "      <th>4</th>\n",
       "      <td>3.0</td>\n",
       "      <td>85</td>\n",
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       "      <th>5</th>\n",
       "      <td>4.0</td>\n",
       "      <td>113</td>\n",
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       "      <th>6</th>\n",
       "      <td>5.0</td>\n",
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       "      <th>7</th>\n",
       "      <td>6.0</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7.0</td>\n",
       "      <td>171</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>8.0</td>\n",
       "      <td>152</td>\n",
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       "      <th>10</th>\n",
       "      <td>9.0</td>\n",
       "      <td>106</td>\n",
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       "      <th>11</th>\n",
       "      <td>10.0</td>\n",
       "      <td>57</td>\n",
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       "      <th>12</th>\n",
       "      <td>11.0</td>\n",
       "      <td>19</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>12.0</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>13.0</td>\n",
       "      <td>5</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15.0</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>19.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>25.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>999.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    final_score_yellow  COUNT(*)\n",
       "0                  NaN       169\n",
       "1                  0.0         3\n",
       "2                  1.0        19\n",
       "3                  2.0        52\n",
       "4                  3.0        85\n",
       "5                  4.0       113\n",
       "6                  5.0       141\n",
       "7                  6.0       156\n",
       "8                  7.0       171\n",
       "9                  8.0       152\n",
       "10                 9.0       106\n",
       "11                10.0        57\n",
       "12                11.0        19\n",
       "13                12.0        16\n",
       "14                13.0         5\n",
       "15                15.0         1\n",
       "16                16.0         1\n",
       "17                19.0         1\n",
       "18                25.0         1\n",
       "19               999.0         1"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT final_score_yellow, COUNT(*) FROM games\n",
    "GROUP BY final_score_yellow\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we see that each of these columns has 169 games with \"NaN\" listed as their final score.  Let's check if it's the same 169 games for both columns."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>final_score_red</th>\n",
       "      <th>final_score_yellow</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>None</td>\n",
       "      <td>None</td>\n",
       "      <td>169</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  final_score_red final_score_yellow  COUNT(*)\n",
       "0            None               None       169"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT final_score_red, final_score_yellow, COUNT(*) FROM games\n",
    "WHERE final_score_yellow IS NULL\n",
    "GROUP BY final_score_red\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "It is indeed just those 169 games missing final score information.  Looking at the original PDF documents, in those instances the \"score and time remaining\" box is completely missing from the format used.  This information could be recovered easily enough with the information in the stone_positions table, but since this represents only about 10% of the data, we might be able to get away without this data.  If this comes up in an analysis, we can decide how to handle it.\n",
    "\n",
    "There is one more outlier worth mentioning:  A final score of 999.  This specific instance represents an edge case, where a game was score W-L.  In this case, 999 corresponds to \"Win\", and 0 was entered for the loss.\n",
    "\n",
    "Now that we've explored where issues with the data may arise in the games table, let's move on to the ends table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
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       "      <td>NaN</td>\n",
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       "      <td>NaN</td>\n",
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       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>yellow</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1552.0</td>\n",
       "      <td>1432.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11457</th>\n",
       "      <td>11457</td>\n",
       "      <td>1267</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>red</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1378.0</td>\n",
       "      <td>1253.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11458</th>\n",
       "      <td>11458</td>\n",
       "      <td>1267</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1201.0</td>\n",
       "      <td>1036.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11459</th>\n",
       "      <td>11459</td>\n",
       "      <td>1267</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>yellow</td>\n",
       "      <td>4.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>989.0</td>\n",
       "      <td>691.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11460</th>\n",
       "      <td>11460</td>\n",
       "      <td>1267</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "      <td>5.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>760.0</td>\n",
       "      <td>506.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11461</th>\n",
       "      <td>11461</td>\n",
       "      <td>1267</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>yellow</td>\n",
       "      <td>5.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>591.0</td>\n",
       "      <td>337.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11462</th>\n",
       "      <td>11462</td>\n",
       "      <td>1267</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "      <td>6.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>367.0</td>\n",
       "      <td>67.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11463</th>\n",
       "      <td>11463</td>\n",
       "      <td>1268</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>yellow</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2183.0</td>\n",
       "      <td>2114.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11464</th>\n",
       "      <td>11464</td>\n",
       "      <td>1268</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>yellow</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2003.0</td>\n",
       "      <td>1923.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11465</th>\n",
       "      <td>11465</td>\n",
       "      <td>1268</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>red</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1754.0</td>\n",
       "      <td>1713.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11466</th>\n",
       "      <td>11466</td>\n",
       "      <td>1268</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1592.0</td>\n",
       "      <td>1539.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11467</th>\n",
       "      <td>11467</td>\n",
       "      <td>1268</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>yellow</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1353.0</td>\n",
       "      <td>1299.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11468</th>\n",
       "      <td>11468</td>\n",
       "      <td>1268</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1251.0</td>\n",
       "      <td>1149.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11469</th>\n",
       "      <td>11469</td>\n",
       "      <td>1268</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>red</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>1043.0</td>\n",
       "      <td>891.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11470</th>\n",
       "      <td>11470</td>\n",
       "      <td>1268</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>yellow</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>724.0</td>\n",
       "      <td>699.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11471</th>\n",
       "      <td>11471</td>\n",
       "      <td>1268</td>\n",
       "      <td>9</td>\n",
       "      <td>1</td>\n",
       "      <td>red</td>\n",
       "      <td>3.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>458.0</td>\n",
       "      <td>513.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11472 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          id  game_id  number  direction color_hammer  score_red  \\\n",
       "0          0        0       1          1          red        NaN   \n",
       "1          1        0       2          0       yellow        NaN   \n",
       "2          2        0       3          1       yellow        NaN   \n",
       "3          3        0       4          0          red        NaN   \n",
       "4          4        0       5          1       yellow        NaN   \n",
       "5          5        0       6          0          red        NaN   \n",
       "6          6        0       7          1       yellow        NaN   \n",
       "7          7        0       8          0       yellow        NaN   \n",
       "8          8        1       1          1          red        NaN   \n",
       "9          9        1       2          0          red        NaN   \n",
       "10        10        1       3          1       yellow        NaN   \n",
       "11        11        1       4          0       yellow        NaN   \n",
       "12        12        1       5          1       yellow        NaN   \n",
       "13        13        1       6          0          red        NaN   \n",
       "14        14        1       7          1          red        NaN   \n",
       "15        15        1       8          0          red        NaN   \n",
       "16        16        2       1          1          red        NaN   \n",
       "17        17        2       2          0       yellow        NaN   \n",
       "18        18        2       3          1       yellow        NaN   \n",
       "19        19        2       4          0       yellow        NaN   \n",
       "20        20        2       5          1          red        NaN   \n",
       "21        21        2       6          0       yellow        NaN   \n",
       "22        22        3       1          1          red        NaN   \n",
       "23        23        3       2          0          red        NaN   \n",
       "24        24        3       3          1       yellow        NaN   \n",
       "25        25        3       4          0          red        NaN   \n",
       "26        26        3       5          1       yellow        NaN   \n",
       "27        27        3       6          0       yellow        NaN   \n",
       "28        28        3       7          1          red        NaN   \n",
       "29        29        3       8          0          red        NaN   \n",
       "...      ...      ...     ...        ...          ...        ...   \n",
       "11442  11442     1265       9          1          red        8.0   \n",
       "11443  11443     1266       1          1       yellow        0.0   \n",
       "11444  11444     1266       2          0       yellow        1.0   \n",
       "11445  11445     1266       3          1       yellow        1.0   \n",
       "11446  11446     1266       4          0          red        3.0   \n",
       "11447  11447     1266       5          1       yellow        3.0   \n",
       "11448  11448     1266       6          0       yellow        4.0   \n",
       "11449  11449     1266       7          1       yellow        4.0   \n",
       "11450  11450     1266       8          0          red        4.0   \n",
       "11451  11451     1266       9          1          red        6.0   \n",
       "11452  11452     1266      10          0       yellow        6.0   \n",
       "11453  11453     1267       1          1       yellow        0.0   \n",
       "11454  11454     1267       2          0       yellow        0.0   \n",
       "11455  11455     1267       3          1       yellow        3.0   \n",
       "11456  11456     1267       4          0       yellow        3.0   \n",
       "11457  11457     1267       5          1          red        3.0   \n",
       "11458  11458     1267       6          0          red        4.0   \n",
       "11459  11459     1267       7          1       yellow        4.0   \n",
       "11460  11460     1267       8          0          red        5.0   \n",
       "11461  11461     1267       9          1       yellow        5.0   \n",
       "11462  11462     1267      10          0          red        6.0   \n",
       "11463  11463     1268       1          1       yellow        0.0   \n",
       "11464  11464     1268       2          0       yellow        0.0   \n",
       "11465  11465     1268       3          1          red        0.0   \n",
       "11466  11466     1268       4          0          red        1.0   \n",
       "11467  11467     1268       5          1       yellow        1.0   \n",
       "11468  11468     1268       6          0          red        1.0   \n",
       "11469  11469     1268       7          1          red        3.0   \n",
       "11470  11470     1268       8          0       yellow        3.0   \n",
       "11471  11471     1268       9          1          red        3.0   \n",
       "\n",
       "       score_yellow  time_left_red  time_left_yellow  \n",
       "0               NaN            NaN               NaN  \n",
       "1               NaN            NaN               NaN  \n",
       "2               NaN            NaN               NaN  \n",
       "3               NaN            NaN               NaN  \n",
       "4               NaN            NaN               NaN  \n",
       "5               NaN            NaN               NaN  \n",
       "6               NaN            NaN               NaN  \n",
       "7               NaN            NaN               NaN  \n",
       "8               NaN            NaN               NaN  \n",
       "9               NaN            NaN               NaN  \n",
       "10              NaN            NaN               NaN  \n",
       "11              NaN            NaN               NaN  \n",
       "12              NaN            NaN               NaN  \n",
       "13              NaN            NaN               NaN  \n",
       "14              NaN            NaN               NaN  \n",
       "15              NaN            NaN               NaN  \n",
       "16              NaN            NaN               NaN  \n",
       "17              NaN            NaN               NaN  \n",
       "18              NaN            NaN               NaN  \n",
       "19              NaN            NaN               NaN  \n",
       "20              NaN            NaN               NaN  \n",
       "21              NaN            NaN               NaN  \n",
       "22              NaN            NaN               NaN  \n",
       "23              NaN            NaN               NaN  \n",
       "24              NaN            NaN               NaN  \n",
       "25              NaN            NaN               NaN  \n",
       "26              NaN            NaN               NaN  \n",
       "27              NaN            NaN               NaN  \n",
       "28              NaN            NaN               NaN  \n",
       "29              NaN            NaN               NaN  \n",
       "...             ...            ...               ...  \n",
       "11442           4.0          498.0             475.0  \n",
       "11443           0.0         2167.0            2146.0  \n",
       "11444           0.0         1880.0            1921.0  \n",
       "11445           2.0         1662.0            1701.0  \n",
       "11446           2.0         1465.0            1507.0  \n",
       "11447           2.0         1305.0            1365.0  \n",
       "11448           2.0         1023.0            1042.0  \n",
       "11449           4.0          792.0             834.0  \n",
       "11450           4.0          611.0             652.0  \n",
       "11451           4.0          236.0             419.0  \n",
       "11452           4.0           95.0             260.0  \n",
       "11453           0.0         2149.0            2136.0  \n",
       "11454           0.0         2014.0            1949.0  \n",
       "11455           0.0         1798.0            1691.0  \n",
       "11456           1.0         1552.0            1432.0  \n",
       "11457           1.0         1378.0            1253.0  \n",
       "11458           1.0         1201.0            1036.0  \n",
       "11459           2.0          989.0             691.0  \n",
       "11460           2.0          760.0             506.0  \n",
       "11461           3.0          591.0             337.0  \n",
       "11462           3.0          367.0              67.0  \n",
       "11463           0.0         2183.0            2114.0  \n",
       "11464           2.0         2003.0            1923.0  \n",
       "11465           4.0         1754.0            1713.0  \n",
       "11466           4.0         1592.0            1539.0  \n",
       "11467           5.0         1353.0            1299.0  \n",
       "11468           5.0         1251.0            1149.0  \n",
       "11469           5.0         1043.0             891.0  \n",
       "11470           6.0          724.0             699.0  \n",
       "11471           8.0          458.0             513.0  \n",
       "\n",
       "[11472 rows x 9 columns]"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\"\n",
    "SELECT * FROM ends\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Immediately a lot of NaN stands out in the columns giving the score and the time left (in seconds).  This is again a known issue with the missing \"score and time left\" box.  In some instances this was only missing in all ends before the last end, but some of them miss it in all ends.\n",
    "\n",
    "As with the games table, let's go through each of the columns in the ends table and look for non-sensical values, and see what fraction of the ends have problematic data, keeping in mind that we have 11472 ends in this table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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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>number</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>1269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>1269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>1269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>1269</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>1268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>1169</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>1067</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>837</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>673</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>113</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    number  COUNT(*)\n",
       "0        1      1269\n",
       "1        2      1269\n",
       "2        3      1269\n",
       "3        4      1269\n",
       "4        5      1269\n",
       "5        6      1268\n",
       "6        7      1169\n",
       "7        8      1067\n",
       "8        9       837\n",
       "9       10       673\n",
       "10      11       113"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT number, COUNT(*) FROM ends\n",
    "GROUP BY number\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The end number is just extracted from the page number in the shot-by-shot summary PDF, as it's one page per end.  8 ends is a typical game length, though 10 is also commonly seen in some competitions.  An extra end may be added to break a tie, and if the difference in score is high the later ends may not be played.  So all of these end number counts look reasonable to me."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "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>direction</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>5580</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>5892</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   direction  COUNT(*)\n",
       "0          0      5580\n",
       "1          1      5892"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT direction, COUNT(*) FROM ends\n",
    "GROUP BY direction\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A standard curling sheet of ice has the house at both ends of the sheet, and the game alternates between using the house on each end of the ice.  For the stone_positions table, the desire was to standardize on one direction, where in the shot by shot summary image the house is at the bottom (\"down\", denoted by direction 0).  So in the other ends where the house was at the top of the image (\"up\", denoted by direction 0), the coordinate system was changed.  We store the direction so that this information (sometimes the ice plays differently in different directions down the sheet) is available.\n",
    "\n",
    "Why choose \"down\" as the standard coordinate system?  This is the view that the skip has when the call the shots.  We assigned the origin to the center of the button, making it easy to determine which rocks are closer to the button, with negative y values being behind the t-line.\n",
    "\n",
    "Getting back to this direction validation, it's reasonable that the two directions have similar frequency, but also reasonable that they differ:  Games are probably biased towards starting in the \"up\" direction, and if they end 1 end early, there will be more \"up\" ends than \"down\" ends.\n",
    "\n",
    "So, let's move on to color_hammer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>color_hammer</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>error_color</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>red</td>\n",
       "      <td>5724</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>yellow</td>\n",
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      ],
      "text/plain": [
       "  color_hammer  COUNT(*)\n",
       "0  error_color        11\n",
       "1          red      5724\n",
       "2       yellow      5737"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT color_hammer, COUNT(*) FROM ends\n",
    "GROUP BY color_hammer\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\"Having the hammer\" for an end means that the team is throwing the last stone of the end (also called \"last rock advantage\").  This switches between scoring teams in each end, so it makes sense that it's roughly equal.  These 11 instances of error_color are rather concerning though.  Clearly the code that determines which team is shooting first was unable to do so for 11 ends (out of 11472, so we can probably just ignore these ends.)  I'm curious where it failed though, so let's dig a little deeper by getting enough information to find the PDF document."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "        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>session</th>\n",
       "      <th>team_red</th>\n",
       "      <th>team_yellow</th>\n",
       "      <th>type</th>\n",
       "      <th>number</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CUR_ECCA2017P</td>\n",
       "      <td>10~Session_5</td>\n",
       "      <td>ITA</td>\n",
       "      <td>HUN</td>\n",
       "      <td>Women</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CUR_WJCC2017P</td>\n",
       "      <td>10~Session_10</td>\n",
       "      <td>TUR</td>\n",
       "      <td>CAN</td>\n",
       "      <td>Men</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CUR_WJCC2017P</td>\n",
       "      <td>10~Session_10</td>\n",
       "      <td>TUR</td>\n",
       "      <td>CAN</td>\n",
       "      <td>Men</td>\n",
       "      <td>4</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CUR_WJCC2017P</td>\n",
       "      <td>10~Session_10</td>\n",
       "      <td>TUR</td>\n",
       "      <td>CAN</td>\n",
       "      <td>Men</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CUR_WJCC2017P</td>\n",
       "      <td>10~Session_10</td>\n",
       "      <td>TUR</td>\n",
       "      <td>CAN</td>\n",
       "      <td>Men</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CUR_WJCC2017P</td>\n",
       "      <td>10~Session_10</td>\n",
       "      <td>TUR</td>\n",
       "      <td>CAN</td>\n",
       "      <td>Men</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CUR_WMCC2017P</td>\n",
       "      <td>13~Session_13</td>\n",
       "      <td>ITA</td>\n",
       "      <td>SUI</td>\n",
       "      <td>Men</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CUR_WWCC2017P</td>\n",
       "      <td>09~Session_9</td>\n",
       "      <td>RUS</td>\n",
       "      <td>GER</td>\n",
       "      <td>Women</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>CUR_WWCC2017P</td>\n",
       "      <td>09~Session_9</td>\n",
       "      <td>RUS</td>\n",
       "      <td>GER</td>\n",
       "      <td>Women</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>CUR_WWCC2018P</td>\n",
       "      <td>02~Session_2</td>\n",
       "      <td>SUI</td>\n",
       "      <td>CAN</td>\n",
       "      <td>Women</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>CU_WMCC2016P</td>\n",
       "      <td>04~Session_4</td>\n",
       "      <td>USA</td>\n",
       "      <td>FIN</td>\n",
       "      <td>Men</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             name        session team_red team_yellow   type  number\n",
       "0   CUR_ECCA2017P   10~Session_5      ITA         HUN  Women       7\n",
       "1   CUR_WJCC2017P  10~Session_10      TUR         CAN    Men       3\n",
       "2   CUR_WJCC2017P  10~Session_10      TUR         CAN    Men       4\n",
       "3   CUR_WJCC2017P  10~Session_10      TUR         CAN    Men       5\n",
       "4   CUR_WJCC2017P  10~Session_10      TUR         CAN    Men       6\n",
       "5   CUR_WJCC2017P  10~Session_10      TUR         CAN    Men       7\n",
       "6   CUR_WMCC2017P  13~Session_13      ITA         SUI    Men       9\n",
       "7   CUR_WWCC2017P   09~Session_9      RUS         GER  Women       8\n",
       "8   CUR_WWCC2017P   09~Session_9      RUS         GER  Women       9\n",
       "9   CUR_WWCC2018P   02~Session_2      SUI         CAN  Women       2\n",
       "10   CU_WMCC2016P   04~Session_4      USA         FIN    Men       9"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\"\n",
    "SELECT events.name, games.session, games.team_red, games.team_yellow, games.type, ends.number FROM games\n",
    "INNER JOIN events ON events.id = games.event_id\n",
    "INNER JOIN ends ON ends.game_id = games.id\n",
    "WHERE ends.color_hammer = 'error_color'\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Interestingly enough, it is a smattering of ends from different events.  Taking a look at the shot by shot summaries, there seem to be a number of different reasons that the code failed to make the extraction.  The code works by finding the team with 8 unthrown stones, and it bases this determination based solely on the stone size.  With that in mind:\n",
    "* CUR_ECCA2017P entry has a large yellow stone covering most of the red unthrown stones, messing up the count.\n",
    "* CUR_WJCC2017P entries have a stone-colored box showing up on the ice in those ends, small enough to count as an unthrown stone.\n",
    "* CUR_WMCC2017P entry does not appear to have any issues, so would require further debugging.\n",
    "* CUR_WWCC2017P entries also have the stone-colored box on the ice.\n",
    "* CUR_WWCC2018P entry has a large yellow rock covering most unthrown yellow rocks, messing up the count.\n",
    "* CU_WMCC2016P entry also has a large yellow rock covering most unthrown yellow rocks.\n",
    "\n",
    "So, with the exception of the CUR_WMCC2017P entry, all of these involve weird artifact edge cases, that the parsing algorithm might have difficulty with even with tweaking.  As they are such a small percentage of ends, we just need to be sure to filter these out if it's relevant to the analysis at hand.\n",
    "\n",
    "So, let's move on to score_red, score_yellow, time_left_red, and time_left_yellow."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>score_red</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
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       "  <tbody>\n",
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       "      <th>1</th>\n",
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       "      <td>1113</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1.0</td>\n",
       "      <td>1120</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.0</td>\n",
       "      <td>1298</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1272</td>\n",
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       "      <th>5</th>\n",
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       "      <th>7</th>\n",
       "      <td>6.0</td>\n",
       "      <td>706</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7.0</td>\n",
       "      <td>518</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>8.0</td>\n",
       "      <td>333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9.0</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>10.0</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>11.0</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>12.0</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>13.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>14.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>15.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>16.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>20.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    score_red  COUNT(*)\n",
       "0         NaN      2865\n",
       "1         0.0      1113\n",
       "2         1.0      1120\n",
       "3         2.0      1298\n",
       "4         3.0      1272\n",
       "5         4.0      1069\n",
       "6         5.0       874\n",
       "7         6.0       706\n",
       "8         7.0       518\n",
       "9         8.0       333\n",
       "10        9.0       148\n",
       "11       10.0        91\n",
       "12       11.0        40\n",
       "13       12.0        14\n",
       "14       13.0         5\n",
       "15       14.0         2\n",
       "16       15.0         2\n",
       "17       16.0         1\n",
       "18       20.0         1"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT score_red, COUNT(*) FROM ends\n",
    "GROUP BY score_red\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>score_yellow</th>\n",
       "      <th>COUNT(*)</th>\n",
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       "      <th>3</th>\n",
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       "      <th>4</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1249</td>\n",
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       "      <th>5</th>\n",
       "      <td>4.0</td>\n",
       "      <td>1031</td>\n",
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       "      <td>981</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>6.0</td>\n",
       "      <td>704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7.0</td>\n",
       "      <td>547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>8.0</td>\n",
       "      <td>309</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9.0</td>\n",
       "      <td>171</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>10.0</td>\n",
       "      <td>76</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>11.0</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>12.0</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>13.0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>19.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>25.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>999.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    score_yellow  COUNT(*)\n",
       "0            NaN      2865\n",
       "1            0.0       949\n",
       "2            1.0      1165\n",
       "3            2.0      1361\n",
       "4            3.0      1249\n",
       "5            4.0      1031\n",
       "6            5.0       981\n",
       "7            6.0       704\n",
       "8            7.0       547\n",
       "9            8.0       309\n",
       "10           9.0       171\n",
       "11          10.0        76\n",
       "12          11.0        31\n",
       "13          12.0        21\n",
       "14          13.0         7\n",
       "15          15.0         1\n",
       "16          16.0         1\n",
       "17          19.0         1\n",
       "18          25.0         1\n",
       "19         999.0         1"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT score_yellow, COUNT(*) FROM ends\n",
    "GROUP BY score_yellow\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the scores, we see the scope of the problem we mentioned before.  Almost 30% of ends don't have a score associated with them, because the box expected to include it does not appear in those ends.  If we're interested in end-by-end score, we probably want to reconstruct it from the stone positions at the end of the end.  (We could then do some validation by comparing what that method gives to what is tabulated for the score when the box does appear, as an accuracy check.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time_left_red</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2865</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.0</td>\n",
       "      <td>5343</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11.0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14.0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15.0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>17.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>18.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>19.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>20.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>21.0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>22.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>23.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>24.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>25.0</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>26.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>27.0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>28.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>29.0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>30.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>31.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1551</th>\n",
       "      <td>2165.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1552</th>\n",
       "      <td>2166.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1553</th>\n",
       "      <td>2167.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1554</th>\n",
       "      <td>2168.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1555</th>\n",
       "      <td>2169.0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1556</th>\n",
       "      <td>2172.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1557</th>\n",
       "      <td>2173.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1558</th>\n",
       "      <td>2174.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1559</th>\n",
       "      <td>2175.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1560</th>\n",
       "      <td>2176.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1561</th>\n",
       "      <td>2177.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1562</th>\n",
       "      <td>2179.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1563</th>\n",
       "      <td>2183.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1564</th>\n",
       "      <td>2184.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1565</th>\n",
       "      <td>2186.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1566</th>\n",
       "      <td>2190.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1567</th>\n",
       "      <td>2192.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1568</th>\n",
       "      <td>2195.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1569</th>\n",
       "      <td>2197.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1570</th>\n",
       "      <td>2198.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1571</th>\n",
       "      <td>2202.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1572</th>\n",
       "      <td>2210.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1573</th>\n",
       "      <td>2228.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1574</th>\n",
       "      <td>2243.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1575</th>\n",
       "      <td>2247.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1576</th>\n",
       "      <td>2255.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1577</th>\n",
       "      <td>2259.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1578</th>\n",
       "      <td>2269.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1579</th>\n",
       "      <td>2270.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1580</th>\n",
       "      <td>4380.0</td>\n",
       "      <td>175</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1581 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      time_left_red  COUNT(*)\n",
       "0               NaN      2865\n",
       "1               0.0      5343\n",
       "2               3.0         2\n",
       "3               4.0         2\n",
       "4               5.0         1\n",
       "5               6.0         2\n",
       "6               7.0         1\n",
       "7               8.0         2\n",
       "8               9.0         1\n",
       "9              10.0         1\n",
       "10             11.0         4\n",
       "11             12.0         1\n",
       "12             13.0         2\n",
       "13             14.0         3\n",
       "14             15.0         3\n",
       "15             17.0         5\n",
       "16             18.0         1\n",
       "17             19.0         2\n",
       "18             20.0         2\n",
       "19             21.0         4\n",
       "20             22.0         1\n",
       "21             23.0         5\n",
       "22             24.0         5\n",
       "23             25.0         8\n",
       "24             26.0         2\n",
       "25             27.0         4\n",
       "26             28.0         5\n",
       "27             29.0         4\n",
       "28             30.0         5\n",
       "29             31.0         5\n",
       "...             ...       ...\n",
       "1551         2165.0         1\n",
       "1552         2166.0         1\n",
       "1553         2167.0         1\n",
       "1554         2168.0         2\n",
       "1555         2169.0         4\n",
       "1556         2172.0         2\n",
       "1557         2173.0         1\n",
       "1558         2174.0         1\n",
       "1559         2175.0         1\n",
       "1560         2176.0         1\n",
       "1561         2177.0         2\n",
       "1562         2179.0         2\n",
       "1563         2183.0         2\n",
       "1564         2184.0         1\n",
       "1565         2186.0         2\n",
       "1566         2190.0         1\n",
       "1567         2192.0         1\n",
       "1568         2195.0         1\n",
       "1569         2197.0         1\n",
       "1570         2198.0         2\n",
       "1571         2202.0         1\n",
       "1572         2210.0         1\n",
       "1573         2228.0         1\n",
       "1574         2243.0         2\n",
       "1575         2247.0         1\n",
       "1576         2255.0         1\n",
       "1577         2259.0         1\n",
       "1578         2269.0         1\n",
       "1579         2270.0         1\n",
       "1580         4380.0       175\n",
       "\n",
       "[1581 rows x 2 columns]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT time_left_red, COUNT(*) FROM ends\n",
    "GROUP BY time_left_red\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>time_left_yellow</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
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       "      <td>5343</td>\n",
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       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>1</td>\n",
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       "      <th>4</th>\n",
       "      <td>4.0</td>\n",
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       "      <th>5</th>\n",
       "      <td>5.0</td>\n",
       "      <td>5</td>\n",
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       "      <th>6</th>\n",
       "      <td>6.0</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8.0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>10.0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>11.0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>12.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>13.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>14.0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>16.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>18.0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>19.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>20.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>21.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>22.0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>23.0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>24.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>25.0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>26.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>27.0</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>28.0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>29.0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>30.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>31.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>32.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>33.0</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1570</th>\n",
       "      <td>2150.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1571</th>\n",
       "      <td>2152.0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1572</th>\n",
       "      <td>2153.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1573</th>\n",
       "      <td>2154.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1574</th>\n",
       "      <td>2155.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1575</th>\n",
       "      <td>2158.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1576</th>\n",
       "      <td>2161.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1577</th>\n",
       "      <td>2168.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1578</th>\n",
       "      <td>2172.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1579</th>\n",
       "      <td>2174.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1580</th>\n",
       "      <td>2177.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1581</th>\n",
       "      <td>2178.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1582</th>\n",
       "      <td>2181.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1583</th>\n",
       "      <td>2183.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1584</th>\n",
       "      <td>2184.0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1585</th>\n",
       "      <td>2191.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1586</th>\n",
       "      <td>2195.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1587</th>\n",
       "      <td>2196.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1588</th>\n",
       "      <td>2203.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1589</th>\n",
       "      <td>2205.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1590</th>\n",
       "      <td>2206.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1591</th>\n",
       "      <td>2208.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1592</th>\n",
       "      <td>2211.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1593</th>\n",
       "      <td>2216.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1594</th>\n",
       "      <td>2240.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1595</th>\n",
       "      <td>2253.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1596</th>\n",
       "      <td>2268.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1597</th>\n",
       "      <td>2272.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1598</th>\n",
       "      <td>2275.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1599</th>\n",
       "      <td>4380.0</td>\n",
       "      <td>175</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1600 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      time_left_yellow  COUNT(*)\n",
       "0                  NaN      2865\n",
       "1                  0.0      5343\n",
       "2                  1.0         1\n",
       "3                  3.0         1\n",
       "4                  4.0         2\n",
       "5                  5.0         5\n",
       "6                  6.0         2\n",
       "7                  8.0         4\n",
       "8                 10.0         3\n",
       "9                 11.0         4\n",
       "10                12.0         2\n",
       "11                13.0         5\n",
       "12                14.0         3\n",
       "13                16.0         1\n",
       "14                18.0         4\n",
       "15                19.0         1\n",
       "16                20.0         5\n",
       "17                21.0         1\n",
       "18                22.0         4\n",
       "19                23.0         3\n",
       "20                24.0         2\n",
       "21                25.0         3\n",
       "22                26.0         5\n",
       "23                27.0         4\n",
       "24                28.0         3\n",
       "25                29.0         7\n",
       "26                30.0         1\n",
       "27                31.0         1\n",
       "28                32.0         5\n",
       "29                33.0         5\n",
       "...                ...       ...\n",
       "1570            2150.0         1\n",
       "1571            2152.0         3\n",
       "1572            2153.0         2\n",
       "1573            2154.0         1\n",
       "1574            2155.0         2\n",
       "1575            2158.0         2\n",
       "1576            2161.0         1\n",
       "1577            2168.0         1\n",
       "1578            2172.0         1\n",
       "1579            2174.0         1\n",
       "1580            2177.0         2\n",
       "1581            2178.0         1\n",
       "1582            2181.0         1\n",
       "1583            2183.0         1\n",
       "1584            2184.0         3\n",
       "1585            2191.0         1\n",
       "1586            2195.0         1\n",
       "1587            2196.0         1\n",
       "1588            2203.0         1\n",
       "1589            2205.0         1\n",
       "1590            2206.0         1\n",
       "1591            2208.0         1\n",
       "1592            2211.0         2\n",
       "1593            2216.0         1\n",
       "1594            2240.0         1\n",
       "1595            2253.0         1\n",
       "1596            2268.0         1\n",
       "1597            2272.0         1\n",
       "1598            2275.0         1\n",
       "1599            4380.0       175\n",
       "\n",
       "[1600 rows x 2 columns]"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT time_left_yellow, COUNT(*) FROM ends\n",
    "GROUP BY time_left_yellow\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The time_left variables are even more problematic.  80% of the time the reporting box either isn't there or just has zero in it.  This data unfortunately is not recoverable by other means.  Any analysis looking at time usage during a game will have to work with only 20% of ends.\n",
    "\n",
    "\n",
    "With that, let's go one level deeper, and take a cursory look at the shot data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>end_id</th>\n",
       "      <th>number</th>\n",
       "      <th>color</th>\n",
       "      <th>team</th>\n",
       "      <th>player_name</th>\n",
       "      <th>type</th>\n",
       "      <th>turn</th>\n",
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       "  </thead>\n",
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       "      <th>0</th>\n",
       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
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       "      <td>red</td>\n",
       "      <td>CAN</td>\n",
       "      <td>HEBERT B</td>\n",
       "      <td>Draw</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>yellow</td>\n",
       "      <td>SUI</td>\n",
       "      <td>DE CRUZ P</td>\n",
       "      <td>Draw</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>75</td>\n",
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       "    <tr>\n",
       "      <th>5</th>\n",
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       "      <td>red</td>\n",
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       "      <td>FLASCH C</td>\n",
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       "      <td>yellow</td>\n",
       "      <td>SUI</td>\n",
       "      <td>DE CRUZ P</td>\n",
       "      <td>Take-out</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>red</td>\n",
       "      <td>CAN</td>\n",
       "      <td>FLASCH C</td>\n",
       "      <td>Draw</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>None</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>yellow</td>\n",
       "      <td>SUI</td>\n",
       "      <td>MICHEL S</td>\n",
       "      <td>Take-out</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>10</td>\n",
       "      <td>red</td>\n",
       "      <td>CAN</td>\n",
       "      <td>NEUFELD BJ</td>\n",
       "      <td>Hit and Roll</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>11</td>\n",
       "      <td>yellow</td>\n",
       "      <td>SUI</td>\n",
       "      <td>MICHEL S</td>\n",
       "      <td>Take-out</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>red</td>\n",
       "      <td>CAN</td>\n",
       "      <td>NEUFELD BJ</td>\n",
       "      <td>Take-out</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
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       "      <td>yellow</td>\n",
       "      <td>SUI</td>\n",
       "      <td>SCHWARZ B</td>\n",
       "      <td>Take-out</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>0</td>\n",
       "      <td>14</td>\n",
       "      <td>red</td>\n",
       "      <td>CAN</td>\n",
       "      <td>KOE K</td>\n",
       "      <td>Take-out</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>0</td>\n",
       "      <td>15</td>\n",
       "      <td>yellow</td>\n",
       "      <td>SUI</td>\n",
       "      <td>SCHWARZ B</td>\n",
       "      <td>Hit and Roll</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>0</td>\n",
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       "      <td>red</td>\n",
       "      <td>CAN</td>\n",
       "      <td>KOE K</td>\n",
       "      <td>Raise</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>red</td>\n",
       "      <td>CAN</td>\n",
       "      <td>HEBERT B</td>\n",
       "      <td>Front</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>yellow</td>\n",
       "      <td>SUI</td>\n",
       "      <td>TANNER V</td>\n",
       "      <td>Draw</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>red</td>\n",
       "      <td>CAN</td>\n",
       "      <td>HEBERT B</td>\n",
       "      <td>Draw</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>yellow</td>\n",
       "      <td>SUI</td>\n",
       "      <td>TANNER V</td>\n",
       "      <td>Draw</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>red</td>\n",
       "      <td>CAN</td>\n",
       "      <td>FLASCH C</td>\n",
       "      <td>Draw</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>yellow</td>\n",
       "      <td>SUI</td>\n",
       "      <td>DE CRUZ P</td>\n",
       "      <td>Clearing</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>red</td>\n",
       "      <td>CAN</td>\n",
       "      <td>FLASCH C</td>\n",
       "      <td>Take-out</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>1</td>\n",
       "      <td>8</td>\n",
       "      <td>yellow</td>\n",
       "      <td>SUI</td>\n",
       "      <td>DE CRUZ P</td>\n",
       "      <td>Take-out</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>1</td>\n",
       "      <td>9</td>\n",
       "      <td>red</td>\n",
       "      <td>CAN</td>\n",
       "      <td>NEUFELD BJ</td>\n",
       "      <td>Take-out</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>yellow</td>\n",
       "      <td>SUI</td>\n",
       "      <td>MICHEL S</td>\n",
       "      <td>Take-out</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>red</td>\n",
       "      <td>CAN</td>\n",
       "      <td>NEUFELD BJ</td>\n",
       "      <td>Take-out</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>27</td>\n",
       "      <td>1</td>\n",
       "      <td>12</td>\n",
       "      <td>yellow</td>\n",
       "      <td>SUI</td>\n",
       "      <td>MICHEL S</td>\n",
       "      <td>Take-out</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>13</td>\n",
       "      <td>red</td>\n",
       "      <td>CAN</td>\n",
       "      <td>KOE K</td>\n",
       "      <td>Draw</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>29</td>\n",
       "      <td>1</td>\n",
       "      <td>14</td>\n",
       "      <td>yellow</td>\n",
       "      <td>SUI</td>\n",
       "      <td>SCHWARZ B</td>\n",
       "      <td>Take-out</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</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>182745</th>\n",
       "      <td>182745</td>\n",
       "      <td>11470</td>\n",
       "      <td>3</td>\n",
       "      <td>red</td>\n",
       "      <td>RUS</td>\n",
       "      <td>PORTUNOVA J</td>\n",
       "      <td>Front</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182746</th>\n",
       "      <td>182746</td>\n",
       "      <td>11470</td>\n",
       "      <td>4</td>\n",
       "      <td>yellow</td>\n",
       "      <td>CAN</td>\n",
       "      <td>THEROUX T</td>\n",
       "      <td>Wick / Soft Peeling</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182747</th>\n",
       "      <td>182747</td>\n",
       "      <td>11470</td>\n",
       "      <td>5</td>\n",
       "      <td>red</td>\n",
       "      <td>RUS</td>\n",
       "      <td>ARSENKINA G</td>\n",
       "      <td>Draw</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182748</th>\n",
       "      <td>182748</td>\n",
       "      <td>11470</td>\n",
       "      <td>6</td>\n",
       "      <td>yellow</td>\n",
       "      <td>CAN</td>\n",
       "      <td>McDONALD T</td>\n",
       "      <td>Clearing</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182749</th>\n",
       "      <td>182749</td>\n",
       "      <td>11470</td>\n",
       "      <td>7</td>\n",
       "      <td>red</td>\n",
       "      <td>RUS</td>\n",
       "      <td>ARSENKINA G</td>\n",
       "      <td>Guard</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182750</th>\n",
       "      <td>182750</td>\n",
       "      <td>11470</td>\n",
       "      <td>8</td>\n",
       "      <td>yellow</td>\n",
       "      <td>CAN</td>\n",
       "      <td>McDONALD T</td>\n",
       "      <td>Clearing</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182751</th>\n",
       "      <td>182751</td>\n",
       "      <td>11470</td>\n",
       "      <td>9</td>\n",
       "      <td>red</td>\n",
       "      <td>RUS</td>\n",
       "      <td>VASILEVA U</td>\n",
       "      <td>Guard</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182752</th>\n",
       "      <td>182752</td>\n",
       "      <td>11470</td>\n",
       "      <td>10</td>\n",
       "      <td>yellow</td>\n",
       "      <td>CAN</td>\n",
       "      <td>SCHMIEMANN D</td>\n",
       "      <td>Clearing</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182753</th>\n",
       "      <td>182753</td>\n",
       "      <td>11470</td>\n",
       "      <td>11</td>\n",
       "      <td>red</td>\n",
       "      <td>RUS</td>\n",
       "      <td>VASILEVA U</td>\n",
       "      <td>Guard</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182754</th>\n",
       "      <td>182754</td>\n",
       "      <td>11470</td>\n",
       "      <td>12</td>\n",
       "      <td>yellow</td>\n",
       "      <td>CAN</td>\n",
       "      <td>SCHMIEMANN D</td>\n",
       "      <td>Clearing</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182755</th>\n",
       "      <td>182755</td>\n",
       "      <td>11470</td>\n",
       "      <td>13</td>\n",
       "      <td>red</td>\n",
       "      <td>RUS</td>\n",
       "      <td>MOISEEVA V</td>\n",
       "      <td>Guard</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182756</th>\n",
       "      <td>182756</td>\n",
       "      <td>11470</td>\n",
       "      <td>14</td>\n",
       "      <td>yellow</td>\n",
       "      <td>CAN</td>\n",
       "      <td>ROCQUE K</td>\n",
       "      <td>Double Take-out</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182757</th>\n",
       "      <td>182757</td>\n",
       "      <td>11470</td>\n",
       "      <td>15</td>\n",
       "      <td>red</td>\n",
       "      <td>RUS</td>\n",
       "      <td>MOISEEVA V</td>\n",
       "      <td>Take-out</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182758</th>\n",
       "      <td>182758</td>\n",
       "      <td>11470</td>\n",
       "      <td>16</td>\n",
       "      <td>yellow</td>\n",
       "      <td>CAN</td>\n",
       "      <td>ROCQUE K</td>\n",
       "      <td>Draw</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182759</th>\n",
       "      <td>182759</td>\n",
       "      <td>11471</td>\n",
       "      <td>1</td>\n",
       "      <td>yellow</td>\n",
       "      <td>CAN</td>\n",
       "      <td>THEROUX T</td>\n",
       "      <td>Draw</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182760</th>\n",
       "      <td>182760</td>\n",
       "      <td>11471</td>\n",
       "      <td>2</td>\n",
       "      <td>red</td>\n",
       "      <td>RUS</td>\n",
       "      <td>PORTUNOVA J</td>\n",
       "      <td>Front</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182761</th>\n",
       "      <td>182761</td>\n",
       "      <td>11471</td>\n",
       "      <td>3</td>\n",
       "      <td>yellow</td>\n",
       "      <td>CAN</td>\n",
       "      <td>THEROUX T</td>\n",
       "      <td>Draw</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182762</th>\n",
       "      <td>182762</td>\n",
       "      <td>11471</td>\n",
       "      <td>4</td>\n",
       "      <td>red</td>\n",
       "      <td>RUS</td>\n",
       "      <td>PORTUNOVA J</td>\n",
       "      <td>Raise</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182763</th>\n",
       "      <td>182763</td>\n",
       "      <td>11471</td>\n",
       "      <td>5</td>\n",
       "      <td>yellow</td>\n",
       "      <td>CAN</td>\n",
       "      <td>McDONALD T</td>\n",
       "      <td>Clearing</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182764</th>\n",
       "      <td>182764</td>\n",
       "      <td>11471</td>\n",
       "      <td>6</td>\n",
       "      <td>red</td>\n",
       "      <td>RUS</td>\n",
       "      <td>ARSENKINA G</td>\n",
       "      <td>Hit and Roll</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182765</th>\n",
       "      <td>182765</td>\n",
       "      <td>11471</td>\n",
       "      <td>7</td>\n",
       "      <td>yellow</td>\n",
       "      <td>CAN</td>\n",
       "      <td>McDONALD T</td>\n",
       "      <td>Take-out</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182766</th>\n",
       "      <td>182766</td>\n",
       "      <td>11471</td>\n",
       "      <td>8</td>\n",
       "      <td>red</td>\n",
       "      <td>RUS</td>\n",
       "      <td>ARSENKINA G</td>\n",
       "      <td>Draw</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182767</th>\n",
       "      <td>182767</td>\n",
       "      <td>11471</td>\n",
       "      <td>9</td>\n",
       "      <td>yellow</td>\n",
       "      <td>CAN</td>\n",
       "      <td>SCHMIEMANN D</td>\n",
       "      <td>Clearing</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182768</th>\n",
       "      <td>182768</td>\n",
       "      <td>11471</td>\n",
       "      <td>10</td>\n",
       "      <td>red</td>\n",
       "      <td>RUS</td>\n",
       "      <td>VASILEVA U</td>\n",
       "      <td>Draw</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182769</th>\n",
       "      <td>182769</td>\n",
       "      <td>11471</td>\n",
       "      <td>11</td>\n",
       "      <td>yellow</td>\n",
       "      <td>CAN</td>\n",
       "      <td>SCHMIEMANN D</td>\n",
       "      <td>Clearing</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182770</th>\n",
       "      <td>182770</td>\n",
       "      <td>11471</td>\n",
       "      <td>12</td>\n",
       "      <td>red</td>\n",
       "      <td>RUS</td>\n",
       "      <td>VASILEVA U</td>\n",
       "      <td>Double Take-out</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182771</th>\n",
       "      <td>182771</td>\n",
       "      <td>11471</td>\n",
       "      <td>13</td>\n",
       "      <td>yellow</td>\n",
       "      <td>CAN</td>\n",
       "      <td>ROCQUE K</td>\n",
       "      <td>Double Take-out</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182772</th>\n",
       "      <td>182772</td>\n",
       "      <td>11471</td>\n",
       "      <td>14</td>\n",
       "      <td>red</td>\n",
       "      <td>RUS</td>\n",
       "      <td>MOISEEVA V</td>\n",
       "      <td>Double Take-out</td>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182773</th>\n",
       "      <td>182773</td>\n",
       "      <td>11471</td>\n",
       "      <td>15</td>\n",
       "      <td>yellow</td>\n",
       "      <td>CAN</td>\n",
       "      <td>ROCQUE K</td>\n",
       "      <td>Draw</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>100</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>182774</th>\n",
       "      <td>182774</td>\n",
       "      <td>11471</td>\n",
       "      <td>16</td>\n",
       "      <td>red</td>\n",
       "      <td>RUS</td>\n",
       "      <td>MOISEEVA V</td>\n",
       "      <td>Draw</td>\n",
       "      <td>clockwise</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>182775 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            id  end_id  number   color team   player_name  \\\n",
       "0            0       0       1  yellow  SUI      TANNER V   \n",
       "1            1       0       2     red  CAN      HEBERT B   \n",
       "2            2       0       3  yellow  SUI      TANNER V   \n",
       "3            3       0       4     red  CAN      HEBERT B   \n",
       "4            4       0       5  yellow  SUI     DE CRUZ P   \n",
       "5            5       0       6     red  CAN      FLASCH C   \n",
       "6            6       0       7  yellow  SUI     DE CRUZ P   \n",
       "7            7       0       8     red  CAN      FLASCH C   \n",
       "8            8       0       9  yellow  SUI      MICHEL S   \n",
       "9            9       0      10     red  CAN    NEUFELD BJ   \n",
       "10          10       0      11  yellow  SUI      MICHEL S   \n",
       "11          11       0      12     red  CAN    NEUFELD BJ   \n",
       "12          12       0      13  yellow  SUI     SCHWARZ B   \n",
       "13          13       0      14     red  CAN         KOE K   \n",
       "14          14       0      15  yellow  SUI     SCHWARZ B   \n",
       "15          15       0      16     red  CAN         KOE K   \n",
       "16          16       1       1     red  CAN      HEBERT B   \n",
       "17          17       1       2  yellow  SUI      TANNER V   \n",
       "18          18       1       3     red  CAN      HEBERT B   \n",
       "19          19       1       4  yellow  SUI      TANNER V   \n",
       "20          20       1       5     red  CAN      FLASCH C   \n",
       "21          21       1       6  yellow  SUI     DE CRUZ P   \n",
       "22          22       1       7     red  CAN      FLASCH C   \n",
       "23          23       1       8  yellow  SUI     DE CRUZ P   \n",
       "24          24       1       9     red  CAN    NEUFELD BJ   \n",
       "25          25       1      10  yellow  SUI      MICHEL S   \n",
       "26          26       1      11     red  CAN    NEUFELD BJ   \n",
       "27          27       1      12  yellow  SUI      MICHEL S   \n",
       "28          28       1      13     red  CAN         KOE K   \n",
       "29          29       1      14  yellow  SUI     SCHWARZ B   \n",
       "...        ...     ...     ...     ...  ...           ...   \n",
       "182745  182745   11470       3     red  RUS   PORTUNOVA J   \n",
       "182746  182746   11470       4  yellow  CAN     THEROUX T   \n",
       "182747  182747   11470       5     red  RUS   ARSENKINA G   \n",
       "182748  182748   11470       6  yellow  CAN    McDONALD T   \n",
       "182749  182749   11470       7     red  RUS   ARSENKINA G   \n",
       "182750  182750   11470       8  yellow  CAN    McDONALD T   \n",
       "182751  182751   11470       9     red  RUS    VASILEVA U   \n",
       "182752  182752   11470      10  yellow  CAN  SCHMIEMANN D   \n",
       "182753  182753   11470      11     red  RUS    VASILEVA U   \n",
       "182754  182754   11470      12  yellow  CAN  SCHMIEMANN D   \n",
       "182755  182755   11470      13     red  RUS    MOISEEVA V   \n",
       "182756  182756   11470      14  yellow  CAN      ROCQUE K   \n",
       "182757  182757   11470      15     red  RUS    MOISEEVA V   \n",
       "182758  182758   11470      16  yellow  CAN      ROCQUE K   \n",
       "182759  182759   11471       1  yellow  CAN     THEROUX T   \n",
       "182760  182760   11471       2     red  RUS   PORTUNOVA J   \n",
       "182761  182761   11471       3  yellow  CAN     THEROUX T   \n",
       "182762  182762   11471       4     red  RUS   PORTUNOVA J   \n",
       "182763  182763   11471       5  yellow  CAN    McDONALD T   \n",
       "182764  182764   11471       6     red  RUS   ARSENKINA G   \n",
       "182765  182765   11471       7  yellow  CAN    McDONALD T   \n",
       "182766  182766   11471       8     red  RUS   ARSENKINA G   \n",
       "182767  182767   11471       9  yellow  CAN  SCHMIEMANN D   \n",
       "182768  182768   11471      10     red  RUS    VASILEVA U   \n",
       "182769  182769   11471      11  yellow  CAN  SCHMIEMANN D   \n",
       "182770  182770   11471      12     red  RUS    VASILEVA U   \n",
       "182771  182771   11471      13  yellow  CAN      ROCQUE K   \n",
       "182772  182772   11471      14     red  RUS    MOISEEVA V   \n",
       "182773  182773   11471      15  yellow  CAN      ROCQUE K   \n",
       "182774  182774   11471      16     red  RUS    MOISEEVA V   \n",
       "\n",
       "                       type              turn percent_score  \n",
       "0                     Front  counterclockwise           100  \n",
       "1                      Draw  counterclockwise            75  \n",
       "2              Hit and Roll  counterclockwise            50  \n",
       "3                      Draw  counterclockwise           100  \n",
       "4                      Draw  counterclockwise            75  \n",
       "5                      Draw  counterclockwise            25  \n",
       "6                  Take-out         clockwise            50  \n",
       "7                      Draw  counterclockwise          None  \n",
       "8                  Take-out  counterclockwise           100  \n",
       "9              Hit and Roll  counterclockwise           100  \n",
       "10                 Take-out  counterclockwise           100  \n",
       "11                 Take-out  counterclockwise           100  \n",
       "12                 Take-out  counterclockwise           100  \n",
       "13                 Take-out  counterclockwise           100  \n",
       "14             Hit and Roll  counterclockwise           100  \n",
       "15                    Raise  counterclockwise           100  \n",
       "16                    Front  counterclockwise           100  \n",
       "17                     Draw         clockwise             0  \n",
       "18                     Draw         clockwise           100  \n",
       "19                     Draw         clockwise            75  \n",
       "20                     Draw         clockwise            50  \n",
       "21                 Clearing         clockwise           100  \n",
       "22                 Take-out         clockwise            50  \n",
       "23                 Take-out  counterclockwise           100  \n",
       "24                 Take-out         clockwise           100  \n",
       "25                 Take-out  counterclockwise           100  \n",
       "26                 Take-out  counterclockwise           100  \n",
       "27                 Take-out         clockwise            50  \n",
       "28                     Draw         clockwise           100  \n",
       "29                 Take-out  counterclockwise           100  \n",
       "...                     ...               ...           ...  \n",
       "182745                Front  counterclockwise           100  \n",
       "182746  Wick / Soft Peeling  counterclockwise             0  \n",
       "182747                 Draw  counterclockwise            75  \n",
       "182748             Clearing         clockwise           100  \n",
       "182749                Guard  counterclockwise           100  \n",
       "182750             Clearing  counterclockwise            50  \n",
       "182751                Guard  counterclockwise           100  \n",
       "182752             Clearing  counterclockwise            50  \n",
       "182753                Guard  counterclockwise           100  \n",
       "182754             Clearing         clockwise            50  \n",
       "182755                Guard         clockwise             0  \n",
       "182756      Double Take-out         clockwise            50  \n",
       "182757             Take-out         clockwise           100  \n",
       "182758                 Draw         clockwise           100  \n",
       "182759                 Draw  counterclockwise           100  \n",
       "182760                Front         clockwise           100  \n",
       "182761                 Draw  counterclockwise           100  \n",
       "182762                Raise  counterclockwise            50  \n",
       "182763             Clearing         clockwise           100  \n",
       "182764         Hit and Roll  counterclockwise             0  \n",
       "182765             Take-out  counterclockwise             0  \n",
       "182766                 Draw         clockwise            50  \n",
       "182767             Clearing         clockwise           100  \n",
       "182768                 Draw         clockwise            50  \n",
       "182769             Clearing         clockwise            50  \n",
       "182770      Double Take-out  counterclockwise            50  \n",
       "182771      Double Take-out         clockwise            50  \n",
       "182772      Double Take-out  counterclockwise            50  \n",
       "182773                 Draw         clockwise           100  \n",
       "182774                 Draw         clockwise             0  \n",
       "\n",
       "[182775 rows x 9 columns]"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT * from shots\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>number</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>11472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>11472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>11459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>11458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>11458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>11457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>11456</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>11455</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>11454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>11454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>11451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>11446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>11422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>11372</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>11321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>11168</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    number  COUNT(*)\n",
       "0        1     11472\n",
       "1        2     11472\n",
       "2        3     11459\n",
       "3        4     11458\n",
       "4        5     11458\n",
       "5        6     11457\n",
       "6        7     11456\n",
       "7        8     11455\n",
       "8        9     11454\n",
       "9       10     11454\n",
       "10      11     11451\n",
       "11      12     11446\n",
       "12      13     11422\n",
       "13      14     11372\n",
       "14      15     11321\n",
       "15      16     11168"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT number, COUNT(*) from shots\n",
    "GROUP BY number\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Each team throws 8 rocks, so there should be 16 shot numbers in each end.  Recall that there were 11472 ends.  So we do see that there were at least that many 1st and 2nd shots.  The number of each shot number declines from there.  Often  in the last end of a game the losing team may acknowledge their defeat and end the game early after there are no longer sufficient rocks to be played to allow them to win.  So, fewer that 1 of each shot number per end is definitely possible that way.\n",
    "\n",
    "So, to first order these numbers definitely look reasonable.  I'm a little surprised that there are instances where ends ended after the 2nd shot was thrown.  Let's put together a query that gives us the information we need to find the shot-by-shot summary PDF for such a game, to get a good example of what happened."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>name</th>\n",
       "      <th>type</th>\n",
       "      <th>session</th>\n",
       "      <th>team_red</th>\n",
       "      <th>team_yellow</th>\n",
       "      <th>number</th>\n",
       "      <th>shot_counts</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CUR_1819_CWC_1P</td>\n",
       "      <td>Men</td>\n",
       "      <td>09~Session_9</td>\n",
       "      <td>USA</td>\n",
       "      <td>SWE</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CUR_1819_CWC_3P</td>\n",
       "      <td>Men</td>\n",
       "      <td>04~Session_4</td>\n",
       "      <td>NOR</td>\n",
       "      <td>SCO</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CUR_1819_CWC_3P</td>\n",
       "      <td>Men</td>\n",
       "      <td>06~Session_6</td>\n",
       "      <td>SWE</td>\n",
       "      <td>SUI</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CUR_1819_CWC_3P</td>\n",
       "      <td>Men</td>\n",
       "      <td>08~Session_8</td>\n",
       "      <td>SCO</td>\n",
       "      <td>CAN</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CUR_1819_CWC_3P</td>\n",
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       "      <td>USA</td>\n",
       "      <td>SWE</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CUR_1819_CWC_3P</td>\n",
       "      <td>Women</td>\n",
       "      <td>09~Session_9</td>\n",
       "      <td>RUS</td>\n",
       "      <td>CHN</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CUR_1819_CWC_3P</td>\n",
       "      <td>Women</td>\n",
       "      <td>10~Session_10</td>\n",
       "      <td>USA</td>\n",
       "      <td>SCO</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>CUR_1819_CWC_3P</td>\n",
       "      <td>Women</td>\n",
       "      <td>12~Session_12</td>\n",
       "      <td>SCO</td>\n",
       "      <td>JPN</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>CUR_1819_CWC_3P</td>\n",
       "      <td>Women</td>\n",
       "      <td>14~Session_14</td>\n",
       "      <td>JPN</td>\n",
       "      <td>USA</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>CUR_1819_CWC_4P</td>\n",
       "      <td>Men</td>\n",
       "      <td>03~Session_3</td>\n",
       "      <td>USA</td>\n",
       "      <td>CAN1</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>CUR_1819_CWC_4P</td>\n",
       "      <td>Men</td>\n",
       "      <td>07~Session_7</td>\n",
       "      <td>SWE</td>\n",
       "      <td>USA</td>\n",
       "      <td>8</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>CUR_1819_CWC_4P</td>\n",
       "      <td>Women</td>\n",
       "      <td>08~Session_8</td>\n",
       "      <td>USA</td>\n",
       "      <td>CAN</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>CUR_1819_CWC_4P</td>\n",
       "      <td>Women</td>\n",
       "      <td>10~Session_10</td>\n",
       "      <td>JPN</td>\n",
       "      <td>CAN</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>CUR_1819_CWC_4P</td>\n",
       "      <td>Women</td>\n",
       "      <td>15~Session_15</td>\n",
       "      <td>KOR</td>\n",
       "      <td>SUI</td>\n",
       "      <td>9</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>CUR_ECC2016P</td>\n",
       "      <td>Men</td>\n",
       "      <td>05~Session_5</td>\n",
       "      <td>FIN</td>\n",
       "      <td>RUS</td>\n",
       "      <td>10</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>CUR_ECCA2017P</td>\n",
       "      <td>Women</td>\n",
       "      <td>14~Session_7</td>\n",
       "      <td>ITA</td>\n",
       "      <td>GER</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>CUR_WJCC2017P</td>\n",
       "      <td>Men</td>\n",
       "      <td>04~Session_4</td>\n",
       "      <td>TUR</td>\n",
       "      <td>NOR</td>\n",
       "      <td>9</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>CUR_WJCC2017P</td>\n",
       "      <td>Women</td>\n",
       "      <td>03~Session_3</td>\n",
       "      <td>TUR</td>\n",
       "      <td>SCO</td>\n",
       "      <td>10</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "               name   type        session team_red team_yellow  number  \\\n",
       "0   CUR_1819_CWC_1P    Men   09~Session_9      USA         SWE       9   \n",
       "1   CUR_1819_CWC_3P    Men   04~Session_4      NOR         SCO       9   \n",
       "2   CUR_1819_CWC_3P    Men   06~Session_6      SWE         SUI       9   \n",
       "3   CUR_1819_CWC_3P    Men   08~Session_8      SCO         CAN       9   \n",
       "4   CUR_1819_CWC_3P    Men  10~Session_10      USA         SWE       9   \n",
       "5   CUR_1819_CWC_3P  Women   09~Session_9      RUS         CHN       9   \n",
       "6   CUR_1819_CWC_3P  Women  10~Session_10      USA         SCO       9   \n",
       "7   CUR_1819_CWC_3P  Women  12~Session_12      SCO         JPN       9   \n",
       "8   CUR_1819_CWC_3P  Women  14~Session_14      JPN         USA       9   \n",
       "9   CUR_1819_CWC_4P    Men   03~Session_3      USA        CAN1       9   \n",
       "10  CUR_1819_CWC_4P    Men   07~Session_7      SWE         USA       8   \n",
       "11  CUR_1819_CWC_4P  Women   08~Session_8      USA         CAN       9   \n",
       "12  CUR_1819_CWC_4P  Women  10~Session_10      JPN         CAN       9   \n",
       "13  CUR_1819_CWC_4P  Women  15~Session_15      KOR         SUI       9   \n",
       "14     CUR_ECC2016P    Men   05~Session_5      FIN         RUS      10   \n",
       "15    CUR_ECCA2017P  Women   14~Session_7      ITA         GER      10   \n",
       "16    CUR_WJCC2017P    Men   04~Session_4      TUR         NOR       9   \n",
       "17    CUR_WJCC2017P  Women   03~Session_3      TUR         SCO      10   \n",
       "\n",
       "    shot_counts  \n",
       "0             2  \n",
       "1             2  \n",
       "2             2  \n",
       "3             2  \n",
       "4             2  \n",
       "5             2  \n",
       "6             2  \n",
       "7             2  \n",
       "8             2  \n",
       "9             2  \n",
       "10            6  \n",
       "11            2  \n",
       "12            2  \n",
       "13            2  \n",
       "14            3  \n",
       "15            5  \n",
       "16            8  \n",
       "17            7  "
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\"\n",
    "WITH shot_counts AS(\n",
    "    SELECT end_id, COUNT(end_id) AS shot_counts FROM shots\n",
    "    GROUP BY end_id\n",
    "    HAVING shot_counts < 10\n",
    ")\n",
    "SELECT events.name, games.type, games.session, games.team_red, games.team_yellow, ends.number, shot_counts.shot_counts FROM games\n",
    "INNER JOIN events ON events.id = games.event_id\n",
    "INNER JOIN ends ON ends.game_id = games.id\n",
    "INNER JOIN shot_counts ON shot_counts.end_id = ends.id\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Above are all of the instances where the number of shots in an end was less than 10.  Note that it is all end numbers near the end of the game.  Let's pull a few entries to check a few examples.\n",
    "\n",
    "In entry 0 (USA-SWE), it looks like this was supposed to be an 8 end game, but the game was tied after 8 ends, so the 9th end appears to have just been a \"draw to the button\" to settle the tie.  (Each team is given the opportunity to get a rock as close as possible to the button, with no other rocks in play, and whoever is closest wins the game.)  I'm guessing the large number of 2 shot counts in the CWC (\"Curling World Cup\") games in this table are similarly tie-breaker instances.  Let's look at a few larger numbers.\n",
    "\n",
    "Entry 14, CUR_ECCA2016P, FIN-RUS in Session 5 has 3 shots in the end.  Om this case, Russia was up by 4 points going into the 10th end.  Russia shot their first rock through (so as not to give Finland any cover.)  Finland called a Front guard, but it went into the house, and the Russians removed it from play on their 2nd shot (shot 3).  At this point Finland conceded.\n",
    "\n",
    "Entry 15 has an even higher shot number.  Germany was up by 5 points going into the last end, and Italy conceded after the 5th shot.\n",
    "\n",
    "I'm sufficiently satisfied now that the numbers in this column appear reasonable.  Let's move on to color."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "        vertical-align: middle;\n",
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       "\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>color</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>red</td>\n",
       "      <td>91386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>yellow</td>\n",
       "      <td>91389</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    color  COUNT(*)\n",
       "0     red     91386\n",
       "1  yellow     91389"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT color, COUNT(*) from shots\n",
    "GROUP BY color\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we see no instances of \"error_color\", and a roughly equal red/yellow distribution (which we'd expect it to be, modulo a few concessions.)  This is because although the first rock thrown's color is used to establish the team to color correspondence, this is only done in the first end of the game, and none of the edge cases were in the first end.  (So we could go back and reconstruct hammer_color in the missing cases using the name of the team making the first shot in the end, and the color of the team making that shot, as recorded in the shots table.)\n",
    "\n",
    "Since this appears to make sense, let's move on to the team column:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>team</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>AUS</td>\n",
       "      <td>1292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>AUT</td>\n",
       "      <td>1303</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>CAN</td>\n",
       "      <td>12744</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>CAN1</td>\n",
       "      <td>384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>CAN2</td>\n",
       "      <td>415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>CHN</td>\n",
       "      <td>10529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>CZE</td>\n",
       "      <td>5081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>DEN</td>\n",
       "      <td>8333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>FIN</td>\n",
       "      <td>4770</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>GBR</td>\n",
       "      <td>2099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>GER</td>\n",
       "      <td>9817</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>HKG</td>\n",
       "      <td>1135</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>HUN</td>\n",
       "      <td>1352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>ITA</td>\n",
       "      <td>10568</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>JPN</td>\n",
       "      <td>9863</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>KAZ</td>\n",
       "      <td>1061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>KOR</td>\n",
       "      <td>11218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>LAT</td>\n",
       "      <td>1393</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>NED</td>\n",
       "      <td>3584</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>NOR</td>\n",
       "      <td>8967</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>NZL</td>\n",
       "      <td>1253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>OAR</td>\n",
       "      <td>655</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>POL</td>\n",
       "      <td>605</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>QAT</td>\n",
       "      <td>864</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>RUS</td>\n",
       "      <td>12483</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>SCO</td>\n",
       "      <td>14558</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>SUI</td>\n",
       "      <td>14663</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>SVK</td>\n",
       "      <td>600</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>SWE</td>\n",
       "      <td>16719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>TPE</td>\n",
       "      <td>567</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>TUR</td>\n",
       "      <td>2032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>USA</td>\n",
       "      <td>11868</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    team  COUNT(*)\n",
       "0    AUS      1292\n",
       "1    AUT      1303\n",
       "2    CAN     12744\n",
       "3   CAN1       384\n",
       "4   CAN2       415\n",
       "5    CHN     10529\n",
       "6    CZE      5081\n",
       "7    DEN      8333\n",
       "8    FIN      4770\n",
       "9    GBR      2099\n",
       "10   GER      9817\n",
       "11   HKG      1135\n",
       "12   HUN      1352\n",
       "13   ITA     10568\n",
       "14   JPN      9863\n",
       "15   KAZ      1061\n",
       "16   KOR     11218\n",
       "17   LAT      1393\n",
       "18   NED      3584\n",
       "19   NOR      8967\n",
       "20   NZL      1253\n",
       "21   OAR       655\n",
       "22   POL       605\n",
       "23   QAT       864\n",
       "24   RUS     12483\n",
       "25   SCO     14558\n",
       "26   SUI     14663\n",
       "27   SVK       600\n",
       "28   SWE     16719\n",
       "29   TPE       567\n",
       "30   TUR      2032\n",
       "31   USA     11868"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT team, COUNT(*) from shots\n",
    "GROUP BY team\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Once again, this appears to be a reasonable list of team name codes.  Let's move on to player_name."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "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></th>\n",
       "      <th>player_name</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ABBES E</td>\n",
       "      <td>697</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ABE S</td>\n",
       "      <td>166</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ADAMS V</td>\n",
       "      <td>958</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>AITA K</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>AITKEN G</td>\n",
       "      <td>57</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>AKHMAD R</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>AL-ABDULLA M</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>AL-FAHAD A</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>AL-QAET A</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>AL-QAET S</td>\n",
       "      <td>90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>ALBRECHT M</td>\n",
       "      <td>384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>ALI A</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>ALI S</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>ALI-MOHSEN A</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>ALLIYAROVA S</td>\n",
       "      <td>110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>ALVERA C</td>\n",
       "      <td>160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>ALYAFEI A</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>ALYAFEI N</td>\n",
       "      <td>122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>ANDERSON S</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>ANDERSON T</td>\n",
       "      <td>120</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>ANDREWS S</td>\n",
       "      <td>206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>AOKI G</td>\n",
       "      <td>370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>AOYAMA Y</td>\n",
       "      <td>156</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>APOLLONIO F</td>\n",
       "      <td>170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>APOLLONIO G</td>\n",
       "      <td>173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>ARMAN S</td>\n",
       "      <td>210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>ARMSTRONG D</td>\n",
       "      <td>148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>ARSENKINA G</td>\n",
       "      <td>968</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>AUTIO T</td>\n",
       "      <td>130</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>BA D</td>\n",
       "      <td>300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>642</th>\n",
       "      <td>WRANA R</td>\n",
       "      <td>190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>643</th>\n",
       "      <td>WRANAA I</td>\n",
       "      <td>316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>644</th>\n",
       "      <td>WRANAA R</td>\n",
       "      <td>1319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>645</th>\n",
       "      <td>WRIGHT V</td>\n",
       "      <td>240</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>646</th>\n",
       "      <td>WUNDERER S</td>\n",
       "      <td>325</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>647</th>\n",
       "      <td>XU J</td>\n",
       "      <td>462</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>648</th>\n",
       "      <td>XU X</td>\n",
       "      <td>320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>649</th>\n",
       "      <td>YAMAGUCHI T</td>\n",
       "      <td>674</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>650</th>\n",
       "      <td>YAMAMOTO S</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>651</th>\n",
       "      <td>YAN H</td>\n",
       "      <td>294</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>652</th>\n",
       "      <td>YAN M</td>\n",
       "      <td>98</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>653</th>\n",
       "      <td>YANG T</td>\n",
       "      <td>548</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>654</th>\n",
       "      <td>YANG TI</td>\n",
       "      <td>224</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>655</th>\n",
       "      <td>YAO M</td>\n",
       "      <td>144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>656</th>\n",
       "      <td>YAVAROW L</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>657</th>\n",
       "      <td>YILDIZ D</td>\n",
       "      <td>329</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>658</th>\n",
       "      <td>YIN Y</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>659</th>\n",
       "      <td>YOO MH</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>660</th>\n",
       "      <td>YOSHIDA C</td>\n",
       "      <td>647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>661</th>\n",
       "      <td>YOSHIDA Y</td>\n",
       "      <td>648</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>YUAN MJ</td>\n",
       "      <td>164</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>663</th>\n",
       "      <td>YUNICHEVA R</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>664</th>\n",
       "      <td>ZANG J</td>\n",
       "      <td>420</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>665</th>\n",
       "      <td>ZAPPONE V</td>\n",
       "      <td>1015</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>666</th>\n",
       "      <td>ZHANG L</td>\n",
       "      <td>182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>667</th>\n",
       "      <td>ZHOU Y</td>\n",
       "      <td>516</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>668</th>\n",
       "      <td>ZHUZBAY A</td>\n",
       "      <td>172</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669</th>\n",
       "      <td>ZIOLO T</td>\n",
       "      <td>14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>670</th>\n",
       "      <td>ZOU D</td>\n",
       "      <td>286</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>671</th>\n",
       "      <td>ZOU Q</td>\n",
       "      <td>633</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>672 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      player_name  COUNT(*)\n",
       "0         ABBES E       697\n",
       "1           ABE S       166\n",
       "2         ADAMS V       958\n",
       "3          AITA K         8\n",
       "4        AITKEN G        57\n",
       "5        AKHMAD R        20\n",
       "6    AL-ABDULLA M        90\n",
       "7      AL-FAHAD A       126\n",
       "8       AL-QAET A        90\n",
       "9       AL-QAET S        90\n",
       "10     ALBRECHT M       384\n",
       "11          ALI A        98\n",
       "12          ALI S        32\n",
       "13   ALI-MOHSEN A       126\n",
       "14   ALLIYAROVA S       110\n",
       "15       ALVERA C       160\n",
       "16      ALYAFEI A        98\n",
       "17      ALYAFEI N       122\n",
       "18     ANDERSON S       120\n",
       "19     ANDERSON T       120\n",
       "20      ANDREWS S       206\n",
       "21         AOKI G       370\n",
       "22       AOYAMA Y       156\n",
       "23    APOLLONIO F       170\n",
       "24    APOLLONIO G       173\n",
       "25        ARMAN S       210\n",
       "26    ARMSTRONG D       148\n",
       "27    ARSENKINA G       968\n",
       "28        AUTIO T       130\n",
       "29           BA D       300\n",
       "..            ...       ...\n",
       "642       WRANA R       190\n",
       "643      WRANAA I       316\n",
       "644      WRANAA R      1319\n",
       "645      WRIGHT V       240\n",
       "646    WUNDERER S       325\n",
       "647          XU J       462\n",
       "648          XU X       320\n",
       "649   YAMAGUCHI T       674\n",
       "650    YAMAMOTO S        20\n",
       "651         YAN H       294\n",
       "652         YAN M        98\n",
       "653        YANG T       548\n",
       "654       YANG TI       224\n",
       "655         YAO M       144\n",
       "656     YAVAROW L        20\n",
       "657      YILDIZ D       329\n",
       "658         YIN Y        40\n",
       "659        YOO MH        60\n",
       "660     YOSHIDA C       647\n",
       "661     YOSHIDA Y       648\n",
       "662       YUAN MJ       164\n",
       "663   YUNICHEVA R        14\n",
       "664        ZANG J       420\n",
       "665     ZAPPONE V      1015\n",
       "666       ZHANG L       182\n",
       "667        ZHOU Y       516\n",
       "668     ZHUZBAY A       172\n",
       "669       ZIOLO T        14\n",
       "670         ZOU D       286\n",
       "671         ZOU Q       633\n",
       "\n",
       "[672 rows x 2 columns]"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT player_name, COUNT(*) from shots\n",
    "GROUP BY player_name\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The name data can be tricky to deal with, as I have seen spelling mistakes crop up in the player names within shot-by-shot summaries.\n",
    "\n",
    "Entries 642-644 above are a good case study:\n",
    "* Name Number_of_shots\n",
    "* WRANA R\t190\n",
    "* WRANAA I\t316\n",
    "* WRANAA R\t1319\n",
    "\n",
    "Are these 3 different people, 2 people with 1 spelling mistake, or one person with 2 spelling mistakes?  Foreign names can be improperly transliterated to give initials, but even if a last name is uncommon, it's also reasonably common to see brothers or sisters playing on the same team (or an older sibling playing in earlier competitions, followed by a younger sibling.)  I won't spend any time trying to disentangle this now, but any analysis concerned with the statistics of individual players probably needs to consider this more carefully.\n",
    "\n",
    "\n",
    "Next up is the \"type\" field."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\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>type</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Clearing</td>\n",
       "      <td>16609</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Double Take-out</td>\n",
       "      <td>10354</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Draw</td>\n",
       "      <td>57199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Freeze</td>\n",
       "      <td>1434</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Front</td>\n",
       "      <td>18719</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Guard</td>\n",
       "      <td>10980</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Hit and Roll</td>\n",
       "      <td>14656</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>None</td>\n",
       "      <td>4806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Promotion Take-out</td>\n",
       "      <td>5049</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Raise</td>\n",
       "      <td>5531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Take-out</td>\n",
       "      <td>34380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Through</td>\n",
       "      <td>853</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Wick / Soft Peeling</td>\n",
       "      <td>2124</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>no statistics</td>\n",
       "      <td>27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>not played</td>\n",
       "      <td>12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>through</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   type  COUNT(*)\n",
       "0              Clearing     16609\n",
       "1       Double Take-out     10354\n",
       "2                  Draw     57199\n",
       "3                Freeze      1434\n",
       "4                 Front     18719\n",
       "5                 Guard     10980\n",
       "6          Hit and Roll     14656\n",
       "7                  None      4806\n",
       "8    Promotion Take-out      5049\n",
       "9                 Raise      5531\n",
       "10             Take-out     34380\n",
       "11              Through       853\n",
       "12  Wick / Soft Peeling      2124\n",
       "13        no statistics        27\n",
       "14           not played        12\n",
       "15              through        42"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT type, COUNT(*) from shots\n",
    "GROUP BY type\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "These are the \"type\" of shot that the skip called, as noted by the statistics-taker.  Most of these seem reasonable, but note a few things:\n",
    "* \"None\" and \"no statistics\": In many cases full statistics weren't taken for games. Most of these show up as \"None\", while some show up as \"no statistics\".\n",
    "* For 42 shots the statistics-taker used a lower case \"t\" on \"Through\" instead of the upper-case \"t\".\n",
    "* \"Front\" and \"Guard\" nominally mean the same thing, and are both very common shot types.  An analysis looking at shot types should dig into whether there is a real difference between the two, or whether there was just a change in standard nomenclature at some point (or if they are used interchangeably.)\n",
    "\n",
    "Now, let's look at turn."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>turn</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Free guard zone violation</td>\n",
       "      <td>2</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Hogline violation</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>In</td>\n",
       "      <td>4615</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Measurement</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>None</td>\n",
       "      <td>4806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Out</td>\n",
       "      <td>5690</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Run out of time</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>clockwise</td>\n",
       "      <td>79453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>counterclockwise</td>\n",
       "      <td>88198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>picked up debris</td>\n",
       "      <td>1</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        turn  COUNT(*)\n",
       "0  Free guard zone violation         2\n",
       "1          Hogline violation         1\n",
       "2                         In      4615\n",
       "3                Measurement         8\n",
       "4                       None      4806\n",
       "5                        Out      5690\n",
       "6            Run out of time         1\n",
       "7                  clockwise     79453\n",
       "8           counterclockwise     88198\n",
       "9           picked up debris         1"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT turn, COUNT(*) from shots\n",
    "GROUP BY turn\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The turn column shows a few shortcomings in the algorithm to pull this information from the shot-by-shot summary PDFs.  It appears that various non-standard situations sometimes get picked up as the shot turn.  However, these situations are extremely few (13 out of over 180,000 shots), so not big enough of an issue to deal with at this point.\n",
    "\n",
    "However, there are also two different ways of specifying the turn on the stone, that we see here:\n",
    "* clockwise or counterclockwise:  By far the most common in this dataset, and the least ambiguous, it specifies the turn by the rotation direction of the rock.\n",
    "* In or Out: Couples the rotation direction of the rock with the player's handedness.  \"In\" and \"Out\" map to \"clockwise\" and \"counterclockwise\" for a right-handed player, and the opposite for a left-handed player.\n",
    "\n",
    "I preserved these two different ways of reporting the turn when building the database.  Handling this would need to be part of an analysis including the turn.\n",
    "\n",
    "Finally, let's look at the percent score."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <tbody>\n",
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       "      <td>17425</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>25</td>\n",
       "      <td>2787</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>50</td>\n",
       "      <td>23742</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>75</td>\n",
       "      <td>22909</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>100</td>\n",
       "      <td>110022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>None</td>\n",
       "      <td>5890</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "  percent_score  COUNT(*)\n",
       "0             0     17425\n",
       "1            25      2787\n",
       "2            50     23742\n",
       "3            75     22909\n",
       "4           100    110022\n",
       "5          None      5890"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT percent_score, COUNT(*) from shots\n",
    "GROUP BY percent_score\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When a player takes their shot, the statistics-keeper assigns a score of 0-4, depending on how accurately the shot was made.  This is converted to a percentage value, and summary statistics are often reported in televised games broken down by shot type (for example, if the skip needs to make a Draw to win the game, you'll often hear a commentator say \"He is shooting 85% for draws in this game.\"  \n",
    "\n",
    "Given that this dataset consists of international competitions, the large number of 100% scores is not surprising: you'd expect these players to be able to make their shots.\n",
    "\n",
    "Once again, we see the \"no statistics\" games showing up as \"None\" in this column.  Thankfully it's a small number compared to the size of the dataset.\n",
    "\n",
    "This column finishes our look at the shots table.  Now let us turn our attention to the final table in this database: stone_positions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
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       "      <th></th>\n",
       "      <th>id</th>\n",
       "      <th>shot_id</th>\n",
       "      <th>color</th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
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       "  <tbody>\n",
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       "      <td>yellow</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>210.5</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>red</td>\n",
       "      <td>6.043912</td>\n",
       "      <td>-12.0</td>\n",
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       "    <tr>\n",
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       "      <td>21.471318</td>\n",
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       "    <tr>\n",
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       "      <td>104.043912</td>\n",
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       "      <td>20.043912</td>\n",
       "      <td>80.0</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
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       "      <td>3</td>\n",
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       "      <td>21.471318</td>\n",
       "      <td>210.0</td>\n",
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       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
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       "      <td>104.500000</td>\n",
       "      <td>-86.5</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>8</td>\n",
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       "      <td>20.500000</td>\n",
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       "      <th>9</th>\n",
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       "      <td>4</td>\n",
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       "      <td>21.471318</td>\n",
       "      <td>210.0</td>\n",
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       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>10</td>\n",
       "      <td>4</td>\n",
       "      <td>yellow</td>\n",
       "      <td>9.543524</td>\n",
       "      <td>-17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>11</td>\n",
       "      <td>4</td>\n",
       "      <td>yellow</td>\n",
       "      <td>104.500000</td>\n",
       "      <td>-86.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>12</td>\n",
       "      <td>5</td>\n",
       "      <td>red</td>\n",
       "      <td>60.500000</td>\n",
       "      <td>34.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>13</td>\n",
       "      <td>5</td>\n",
       "      <td>red</td>\n",
       "      <td>-45.000000</td>\n",
       "      <td>15.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>14</td>\n",
       "      <td>5</td>\n",
       "      <td>yellow</td>\n",
       "      <td>21.471318</td>\n",
       "      <td>210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>15</td>\n",
       "      <td>5</td>\n",
       "      <td>yellow</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>-17.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>16</td>\n",
       "      <td>5</td>\n",
       "      <td>yellow</td>\n",
       "      <td>104.500000</td>\n",
       "      <td>-86.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>17</td>\n",
       "      <td>6</td>\n",
       "      <td>red</td>\n",
       "      <td>-44.528682</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>18</td>\n",
       "      <td>6</td>\n",
       "      <td>yellow</td>\n",
       "      <td>21.471318</td>\n",
       "      <td>210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>19</td>\n",
       "      <td>6</td>\n",
       "      <td>yellow</td>\n",
       "      <td>104.500000</td>\n",
       "      <td>-86.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20</td>\n",
       "      <td>7</td>\n",
       "      <td>red</td>\n",
       "      <td>-31.956088</td>\n",
       "      <td>336.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>21</td>\n",
       "      <td>7</td>\n",
       "      <td>red</td>\n",
       "      <td>-44.528682</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>22</td>\n",
       "      <td>7</td>\n",
       "      <td>yellow</td>\n",
       "      <td>21.471318</td>\n",
       "      <td>210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>23</td>\n",
       "      <td>7</td>\n",
       "      <td>yellow</td>\n",
       "      <td>104.500000</td>\n",
       "      <td>-86.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>24</td>\n",
       "      <td>8</td>\n",
       "      <td>red</td>\n",
       "      <td>-31.500000</td>\n",
       "      <td>335.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>25</td>\n",
       "      <td>8</td>\n",
       "      <td>yellow</td>\n",
       "      <td>21.471318</td>\n",
       "      <td>210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>26</td>\n",
       "      <td>8</td>\n",
       "      <td>yellow</td>\n",
       "      <td>-55.000000</td>\n",
       "      <td>32.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>27</td>\n",
       "      <td>8</td>\n",
       "      <td>yellow</td>\n",
       "      <td>104.500000</td>\n",
       "      <td>-86.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>28</td>\n",
       "      <td>9</td>\n",
       "      <td>red</td>\n",
       "      <td>-31.500000</td>\n",
       "      <td>335.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>29</td>\n",
       "      <td>9</td>\n",
       "      <td>red</td>\n",
       "      <td>-30.956088</td>\n",
       "      <td>41.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699495</th>\n",
       "      <td>699495</td>\n",
       "      <td>182769</td>\n",
       "      <td>red</td>\n",
       "      <td>-78.000000</td>\n",
       "      <td>185.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699496</th>\n",
       "      <td>699496</td>\n",
       "      <td>182769</td>\n",
       "      <td>red</td>\n",
       "      <td>-114.000000</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699497</th>\n",
       "      <td>699497</td>\n",
       "      <td>182769</td>\n",
       "      <td>red</td>\n",
       "      <td>-77.000000</td>\n",
       "      <td>-97.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699498</th>\n",
       "      <td>699498</td>\n",
       "      <td>182769</td>\n",
       "      <td>yellow</td>\n",
       "      <td>-7.000000</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699499</th>\n",
       "      <td>699499</td>\n",
       "      <td>182769</td>\n",
       "      <td>yellow</td>\n",
       "      <td>26.043912</td>\n",
       "      <td>-103.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699500</th>\n",
       "      <td>699500</td>\n",
       "      <td>182770</td>\n",
       "      <td>red</td>\n",
       "      <td>-78.000000</td>\n",
       "      <td>185.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699501</th>\n",
       "      <td>699501</td>\n",
       "      <td>182770</td>\n",
       "      <td>red</td>\n",
       "      <td>-114.000000</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699502</th>\n",
       "      <td>699502</td>\n",
       "      <td>182770</td>\n",
       "      <td>red</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>64.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699503</th>\n",
       "      <td>699503</td>\n",
       "      <td>182770</td>\n",
       "      <td>red</td>\n",
       "      <td>-77.000000</td>\n",
       "      <td>-97.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699504</th>\n",
       "      <td>699504</td>\n",
       "      <td>182770</td>\n",
       "      <td>yellow</td>\n",
       "      <td>26.500000</td>\n",
       "      <td>-103.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699505</th>\n",
       "      <td>699505</td>\n",
       "      <td>182771</td>\n",
       "      <td>red</td>\n",
       "      <td>-78.000000</td>\n",
       "      <td>185.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699506</th>\n",
       "      <td>699506</td>\n",
       "      <td>182771</td>\n",
       "      <td>red</td>\n",
       "      <td>-114.000000</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699507</th>\n",
       "      <td>699507</td>\n",
       "      <td>182771</td>\n",
       "      <td>red</td>\n",
       "      <td>-77.000000</td>\n",
       "      <td>-97.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699508</th>\n",
       "      <td>699508</td>\n",
       "      <td>182771</td>\n",
       "      <td>yellow</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>83.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699509</th>\n",
       "      <td>699509</td>\n",
       "      <td>182771</td>\n",
       "      <td>yellow</td>\n",
       "      <td>26.500000</td>\n",
       "      <td>-103.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699510</th>\n",
       "      <td>699510</td>\n",
       "      <td>182772</td>\n",
       "      <td>red</td>\n",
       "      <td>-78.000000</td>\n",
       "      <td>185.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699511</th>\n",
       "      <td>699511</td>\n",
       "      <td>182772</td>\n",
       "      <td>red</td>\n",
       "      <td>-114.000000</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699512</th>\n",
       "      <td>699512</td>\n",
       "      <td>182772</td>\n",
       "      <td>red</td>\n",
       "      <td>-77.000000</td>\n",
       "      <td>-97.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699513</th>\n",
       "      <td>699513</td>\n",
       "      <td>182772</td>\n",
       "      <td>yellow</td>\n",
       "      <td>26.500000</td>\n",
       "      <td>-103.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699514</th>\n",
       "      <td>699514</td>\n",
       "      <td>182773</td>\n",
       "      <td>red</td>\n",
       "      <td>-78.000000</td>\n",
       "      <td>185.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699515</th>\n",
       "      <td>699515</td>\n",
       "      <td>182773</td>\n",
       "      <td>red</td>\n",
       "      <td>-114.000000</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699516</th>\n",
       "      <td>699516</td>\n",
       "      <td>182773</td>\n",
       "      <td>red</td>\n",
       "      <td>-77.000000</td>\n",
       "      <td>-97.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699517</th>\n",
       "      <td>699517</td>\n",
       "      <td>182773</td>\n",
       "      <td>yellow</td>\n",
       "      <td>-58.456476</td>\n",
       "      <td>-88.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699518</th>\n",
       "      <td>699518</td>\n",
       "      <td>182773</td>\n",
       "      <td>yellow</td>\n",
       "      <td>26.500000</td>\n",
       "      <td>-103.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699519</th>\n",
       "      <td>699519</td>\n",
       "      <td>182774</td>\n",
       "      <td>red</td>\n",
       "      <td>-78.000000</td>\n",
       "      <td>185.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699520</th>\n",
       "      <td>699520</td>\n",
       "      <td>182774</td>\n",
       "      <td>red</td>\n",
       "      <td>14.543524</td>\n",
       "      <td>123.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699521</th>\n",
       "      <td>699521</td>\n",
       "      <td>182774</td>\n",
       "      <td>red</td>\n",
       "      <td>-114.000000</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699522</th>\n",
       "      <td>699522</td>\n",
       "      <td>182774</td>\n",
       "      <td>red</td>\n",
       "      <td>-77.000000</td>\n",
       "      <td>-97.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699523</th>\n",
       "      <td>699523</td>\n",
       "      <td>182774</td>\n",
       "      <td>yellow</td>\n",
       "      <td>-58.000000</td>\n",
       "      <td>-88.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699524</th>\n",
       "      <td>699524</td>\n",
       "      <td>182774</td>\n",
       "      <td>yellow</td>\n",
       "      <td>26.500000</td>\n",
       "      <td>-103.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>699525 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            id  shot_id   color           x      y\n",
       "0            0        0  yellow   21.000000  210.5\n",
       "1            1        1     red    6.043912  -12.0\n",
       "2            2        1  yellow   21.471318  210.0\n",
       "3            3        2  yellow   21.471318  210.0\n",
       "4            4        2  yellow  104.043912  -86.0\n",
       "5            5        3     red   20.043912   80.0\n",
       "6            6        3  yellow   21.471318  210.0\n",
       "7            7        3  yellow  104.500000  -86.5\n",
       "8            8        4     red   20.500000   79.5\n",
       "9            9        4  yellow   21.471318  210.0\n",
       "10          10        4  yellow    9.543524  -17.0\n",
       "11          11        4  yellow  104.500000  -86.5\n",
       "12          12        5     red   60.500000   34.5\n",
       "13          13        5     red  -45.000000   15.5\n",
       "14          14        5  yellow   21.471318  210.0\n",
       "15          15        5  yellow   10.000000  -17.5\n",
       "16          16        5  yellow  104.500000  -86.5\n",
       "17          17        6     red  -44.528682   15.0\n",
       "18          18        6  yellow   21.471318  210.0\n",
       "19          19        6  yellow  104.500000  -86.5\n",
       "20          20        7     red  -31.956088  336.0\n",
       "21          21        7     red  -44.528682   15.0\n",
       "22          22        7  yellow   21.471318  210.0\n",
       "23          23        7  yellow  104.500000  -86.5\n",
       "24          24        8     red  -31.500000  335.5\n",
       "25          25        8  yellow   21.471318  210.0\n",
       "26          26        8  yellow  -55.000000   32.5\n",
       "27          27        8  yellow  104.500000  -86.5\n",
       "28          28        9     red  -31.500000  335.5\n",
       "29          29        9     red  -30.956088   41.0\n",
       "...        ...      ...     ...         ...    ...\n",
       "699495  699495   182769     red  -78.000000  185.5\n",
       "699496  699496   182769     red -114.000000   69.0\n",
       "699497  699497   182769     red  -77.000000  -97.5\n",
       "699498  699498   182769  yellow   -7.000000   50.0\n",
       "699499  699499   182769  yellow   26.043912 -103.0\n",
       "699500  699500   182770     red  -78.000000  185.5\n",
       "699501  699501   182770     red -114.000000   69.0\n",
       "699502  699502   182770     red    1.000000   64.5\n",
       "699503  699503   182770     red  -77.000000  -97.5\n",
       "699504  699504   182770  yellow   26.500000 -103.5\n",
       "699505  699505   182771     red  -78.000000  185.5\n",
       "699506  699506   182771     red -114.000000   69.0\n",
       "699507  699507   182771     red  -77.000000  -97.5\n",
       "699508  699508   182771  yellow    4.000000   83.5\n",
       "699509  699509   182771  yellow   26.500000 -103.5\n",
       "699510  699510   182772     red  -78.000000  185.5\n",
       "699511  699511   182772     red -114.000000   69.0\n",
       "699512  699512   182772     red  -77.000000  -97.5\n",
       "699513  699513   182772  yellow   26.500000 -103.5\n",
       "699514  699514   182773     red  -78.000000  185.5\n",
       "699515  699515   182773     red -114.000000   69.0\n",
       "699516  699516   182773     red  -77.000000  -97.5\n",
       "699517  699517   182773  yellow  -58.456476  -88.0\n",
       "699518  699518   182773  yellow   26.500000 -103.5\n",
       "699519  699519   182774     red  -78.000000  185.5\n",
       "699520  699520   182774     red   14.543524  123.0\n",
       "699521  699521   182774     red -114.000000   69.0\n",
       "699522  699522   182774     red  -77.000000  -97.5\n",
       "699523  699523   182774  yellow  -58.000000  -88.5\n",
       "699524  699524   182774  yellow   26.500000 -103.5\n",
       "\n",
       "[699525 rows x 5 columns]"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\"\n",
    "SELECT * FROM stone_positions\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This table stores the positions of all the stones in play after each shot (corresponding to the shot_id included in this table.)  To validate this table, let's start with the colors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "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",
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       "    }\n",
       "\n",
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       "        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>color</th>\n",
       "      <th>COUNT(*)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>red</td>\n",
       "      <td>354780</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>yellow</td>\n",
       "      <td>344745</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    color  COUNT(*)\n",
       "0     red    354780\n",
       "1  yellow    344745"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\" \n",
    "SELECT color, COUNT(*) from stone_positions\n",
    "GROUP BY color\n",
    "\"\"\"\n",
    "db.run_query(c)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since the color of the stone is an important part of how it is read from the image in the shot-by-shot summary, we don't expect any non-sensical colors here.  The count of them is maybe a little worrisome.  One would nominally expect these numbers to be roughly equal, and that yellow has ~3% fewer stones in play might be a sign of a problem recognizing yellow rocks.  It might be worth looking into this discrepancy a bit more if using the stone positions (though a 3% error may be small enough to ignore, depending on the analysis.)\n",
    "\n",
    "Now, for the rock positions, grouping and counting them won't really get us very far.  So let's finish this preliminary exploration by plotting them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "#First we'll get the stone_positions table into a dataframe, then make a 2D histogram.\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th></th>\n",
       "      <th>x</th>\n",
       "      <th>y</th>\n",
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       "      <th>0</th>\n",
       "      <td>21.000000</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6.043912</td>\n",
       "      <td>-12.0</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>21.471318</td>\n",
       "      <td>210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>21.471318</td>\n",
       "      <td>210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>104.043912</td>\n",
       "      <td>-86.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>20.043912</td>\n",
       "      <td>80.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>21.471318</td>\n",
       "      <td>210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>104.500000</td>\n",
       "      <td>-86.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>20.500000</td>\n",
       "      <td>79.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>21.471318</td>\n",
       "      <td>210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9.543524</td>\n",
       "      <td>-17.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>104.500000</td>\n",
       "      <td>-86.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>60.500000</td>\n",
       "      <td>34.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>-45.000000</td>\n",
       "      <td>15.5</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>21.471318</td>\n",
       "      <td>210.0</td>\n",
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       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>10.000000</td>\n",
       "      <td>-17.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>104.500000</td>\n",
       "      <td>-86.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>-44.528682</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>21.471318</td>\n",
       "      <td>210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>104.500000</td>\n",
       "      <td>-86.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>-31.956088</td>\n",
       "      <td>336.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>-44.528682</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>21.471318</td>\n",
       "      <td>210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>104.500000</td>\n",
       "      <td>-86.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>-31.500000</td>\n",
       "      <td>335.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>21.471318</td>\n",
       "      <td>210.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>-55.000000</td>\n",
       "      <td>32.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>104.500000</td>\n",
       "      <td>-86.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>-31.500000</td>\n",
       "      <td>335.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>-30.956088</td>\n",
       "      <td>41.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699495</th>\n",
       "      <td>-78.000000</td>\n",
       "      <td>185.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699496</th>\n",
       "      <td>-114.000000</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699497</th>\n",
       "      <td>-77.000000</td>\n",
       "      <td>-97.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699498</th>\n",
       "      <td>-7.000000</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699499</th>\n",
       "      <td>26.043912</td>\n",
       "      <td>-103.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699500</th>\n",
       "      <td>-78.000000</td>\n",
       "      <td>185.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699501</th>\n",
       "      <td>-114.000000</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699502</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>64.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699503</th>\n",
       "      <td>-77.000000</td>\n",
       "      <td>-97.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699504</th>\n",
       "      <td>26.500000</td>\n",
       "      <td>-103.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699505</th>\n",
       "      <td>-78.000000</td>\n",
       "      <td>185.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699506</th>\n",
       "      <td>-114.000000</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699507</th>\n",
       "      <td>-77.000000</td>\n",
       "      <td>-97.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699508</th>\n",
       "      <td>4.000000</td>\n",
       "      <td>83.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699509</th>\n",
       "      <td>26.500000</td>\n",
       "      <td>-103.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699510</th>\n",
       "      <td>-78.000000</td>\n",
       "      <td>185.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699511</th>\n",
       "      <td>-114.000000</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699512</th>\n",
       "      <td>-77.000000</td>\n",
       "      <td>-97.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699513</th>\n",
       "      <td>26.500000</td>\n",
       "      <td>-103.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699514</th>\n",
       "      <td>-78.000000</td>\n",
       "      <td>185.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699515</th>\n",
       "      <td>-114.000000</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699516</th>\n",
       "      <td>-77.000000</td>\n",
       "      <td>-97.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699517</th>\n",
       "      <td>-58.456476</td>\n",
       "      <td>-88.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699518</th>\n",
       "      <td>26.500000</td>\n",
       "      <td>-103.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699519</th>\n",
       "      <td>-78.000000</td>\n",
       "      <td>185.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699520</th>\n",
       "      <td>14.543524</td>\n",
       "      <td>123.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699521</th>\n",
       "      <td>-114.000000</td>\n",
       "      <td>69.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699522</th>\n",
       "      <td>-77.000000</td>\n",
       "      <td>-97.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699523</th>\n",
       "      <td>-58.000000</td>\n",
       "      <td>-88.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>699524</th>\n",
       "      <td>26.500000</td>\n",
       "      <td>-103.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>699525 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                 x      y\n",
       "0        21.000000  210.5\n",
       "1         6.043912  -12.0\n",
       "2        21.471318  210.0\n",
       "3        21.471318  210.0\n",
       "4       104.043912  -86.0\n",
       "5        20.043912   80.0\n",
       "6        21.471318  210.0\n",
       "7       104.500000  -86.5\n",
       "8        20.500000   79.5\n",
       "9        21.471318  210.0\n",
       "10        9.543524  -17.0\n",
       "11      104.500000  -86.5\n",
       "12       60.500000   34.5\n",
       "13      -45.000000   15.5\n",
       "14       21.471318  210.0\n",
       "15       10.000000  -17.5\n",
       "16      104.500000  -86.5\n",
       "17      -44.528682   15.0\n",
       "18       21.471318  210.0\n",
       "19      104.500000  -86.5\n",
       "20      -31.956088  336.0\n",
       "21      -44.528682   15.0\n",
       "22       21.471318  210.0\n",
       "23      104.500000  -86.5\n",
       "24      -31.500000  335.5\n",
       "25       21.471318  210.0\n",
       "26      -55.000000   32.5\n",
       "27      104.500000  -86.5\n",
       "28      -31.500000  335.5\n",
       "29      -30.956088   41.0\n",
       "...            ...    ...\n",
       "699495  -78.000000  185.5\n",
       "699496 -114.000000   69.0\n",
       "699497  -77.000000  -97.5\n",
       "699498   -7.000000   50.0\n",
       "699499   26.043912 -103.0\n",
       "699500  -78.000000  185.5\n",
       "699501 -114.000000   69.0\n",
       "699502    1.000000   64.5\n",
       "699503  -77.000000  -97.5\n",
       "699504   26.500000 -103.5\n",
       "699505  -78.000000  185.5\n",
       "699506 -114.000000   69.0\n",
       "699507  -77.000000  -97.5\n",
       "699508    4.000000   83.5\n",
       "699509   26.500000 -103.5\n",
       "699510  -78.000000  185.5\n",
       "699511 -114.000000   69.0\n",
       "699512  -77.000000  -97.5\n",
       "699513   26.500000 -103.5\n",
       "699514  -78.000000  185.5\n",
       "699515 -114.000000   69.0\n",
       "699516  -77.000000  -97.5\n",
       "699517  -58.456476  -88.0\n",
       "699518   26.500000 -103.5\n",
       "699519  -78.000000  185.5\n",
       "699520   14.543524  123.0\n",
       "699521 -114.000000   69.0\n",
       "699522  -77.000000  -97.5\n",
       "699523  -58.000000  -88.5\n",
       "699524   26.500000 -103.5\n",
       "\n",
       "[699525 rows x 2 columns]"
      ]
     },
     "execution_count": 134,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = \"\"\"\n",
    "SELECT x, y FROM stone_positions\n",
    "\"\"\"\n",
    "pos_df = db.run_query(c)\n",
    "pos_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "x    float64\n",
       "y    float64\n",
       "dtype: object"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pos_df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "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>x</th>\n",
       "      <th>y</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>699525.000000</td>\n",
       "      <td>699525.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>-0.462715</td>\n",
       "      <td>76.171190</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>57.897540</td>\n",
       "      <td>111.058087</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>-142.000000</td>\n",
       "      <td>-129.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>-35.000000</td>\n",
       "      <td>-5.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>59.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>33.500000</td>\n",
       "      <td>154.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>142.000000</td>\n",
       "      <td>432.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   x              y\n",
       "count  699525.000000  699525.000000\n",
       "mean       -0.462715      76.171190\n",
       "std        57.897540     111.058087\n",
       "min      -142.000000    -129.500000\n",
       "25%       -35.000000      -5.500000\n",
       "50%         0.000000      59.000000\n",
       "75%        33.500000     154.000000\n",
       "max       142.000000     432.000000"
      ]
     },
     "execution_count": 140,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pos_df.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "So x and y contain only numbers, as we expect.  x (left to right) ranges from -142 to 142 (So 284 total range), while y (bottom to top) ranges from -129.5 to 432 (371.5)\n",
    "\n",
    "Let's make a histogram with 50 x bins and 65 y bins."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 288x374.4 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(4,5.2))\n",
    "plt.hist2d(pos_df[\"x\"], pos_df[\"y\"], bins=(50,65))\n",
    "plt.xlabel(\"x\")\n",
    "plt.ylabel(\"y\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This overall distribution of rocks makes a lot of sense.  \n",
    "* We see a large concentration of rocks near the button (a little in front of it, which is a more desirable position than being being behind it, so it makes sense to be biased forward.)\n",
    "* Similarly, we see increased density where a tight centre guard would be, the best position to defend the button stone, fading to lower densities as we move out from the house.\n",
    "* We also see increased density in the house near the centre line on the outer side of the house, and guards to match.  This is the common strategy to score the most points possible if you have last rock.\n",
    "* It looks like there are faint lines of lower density where the boundaries of each region of the house might be.  This probably stems from the statistics-taker never putting a rock EXACTLY on those boundaries (when positions are approximate, those guiding lines would probably bias the position chosen by the statistics taker so that they are not exactly on top of it.)\n",
    "\n",
    "The stone_positions table therefore looks like it contains reasonable data, and even the aggregate position plot already demonstrates some of the principles of curling strategy.  With this plot we conclude the preliminary data exploration, having looked through all tables, verified that the data appears to make sense, and identified areas where there may be quirks that need to be worked around."
   ]
  }
 ],
 "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": "3.6.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}