diff --git a/kibice_mlb/kibice.ipynb b/kibice_mlb/kibice.ipynb
index 8c9afea..4349dd4 100644
--- a/kibice_mlb/kibice.ipynb
+++ b/kibice_mlb/kibice.ipynb
@@ -9,323 +9,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "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",
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-       "</style>\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>Unnamed: 0</th>\n",
-       "      <th>attendance</th>\n",
-       "      <th>away_team</th>\n",
-       "      <th>away_team_errors</th>\n",
-       "      <th>away_team_hits</th>\n",
-       "      <th>away_team_runs</th>\n",
-       "      <th>date</th>\n",
-       "      <th>field_type</th>\n",
-       "      <th>game_type</th>\n",
-       "      <th>home_team</th>\n",
-       "      <th>...</th>\n",
-       "      <th>temperature</th>\n",
-       "      <th>wind_speed</th>\n",
-       "      <th>wind_direction</th>\n",
-       "      <th>sky</th>\n",
-       "      <th>total_runs</th>\n",
-       "      <th>game_hours_dec</th>\n",
-       "      <th>season</th>\n",
-       "      <th>home_team_win</th>\n",
-       "      <th>home_team_loss</th>\n",
-       "      <th>home_team_outcome</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>0</td>\n",
-       "      <td>40030.0</td>\n",
-       "      <td>New York Mets</td>\n",
-       "      <td>1</td>\n",
-       "      <td>7</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2016-04-03</td>\n",
-       "      <td>on grass</td>\n",
-       "      <td>Night Game</td>\n",
-       "      <td>Kansas City Royals</td>\n",
-       "      <td>...</td>\n",
-       "      <td>74.0</td>\n",
-       "      <td>14.0</td>\n",
-       "      <td>from Right to Left</td>\n",
-       "      <td>Sunny</td>\n",
-       "      <td>7</td>\n",
-       "      <td>3.216667</td>\n",
-       "      <td>regular season</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Win</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1</td>\n",
-       "      <td>21621.0</td>\n",
-       "      <td>Philadelphia Phillies</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2016-04-06</td>\n",
-       "      <td>on grass</td>\n",
-       "      <td>Night Game</td>\n",
-       "      <td>Cincinnati Reds</td>\n",
-       "      <td>...</td>\n",
-       "      <td>55.0</td>\n",
-       "      <td>24.0</td>\n",
-       "      <td>from Right to Left</td>\n",
-       "      <td>Overcast</td>\n",
-       "      <td>5</td>\n",
-       "      <td>2.383333</td>\n",
-       "      <td>regular season</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Win</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>2</td>\n",
-       "      <td>12622.0</td>\n",
-       "      <td>Minnesota Twins</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>2</td>\n",
-       "      <td>2016-04-06</td>\n",
-       "      <td>on grass</td>\n",
-       "      <td>Night Game</td>\n",
-       "      <td>Baltimore Orioles</td>\n",
-       "      <td>...</td>\n",
-       "      <td>48.0</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>out to Leftfield</td>\n",
-       "      <td>Unknown</td>\n",
-       "      <td>6</td>\n",
-       "      <td>3.183333</td>\n",
-       "      <td>regular season</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Win</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>3</td>\n",
-       "      <td>18531.0</td>\n",
-       "      <td>Washington Nationals</td>\n",
-       "      <td>0</td>\n",
-       "      <td>8</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2016-04-06</td>\n",
-       "      <td>on grass</td>\n",
-       "      <td>Night Game</td>\n",
-       "      <td>Atlanta Braves</td>\n",
-       "      <td>...</td>\n",
-       "      <td>65.0</td>\n",
-       "      <td>10.0</td>\n",
-       "      <td>from Right to Left</td>\n",
-       "      <td>Cloudy</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2.883333</td>\n",
-       "      <td>regular season</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Loss</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>4</td>\n",
-       "      <td>18572.0</td>\n",
-       "      <td>Colorado Rockies</td>\n",
-       "      <td>1</td>\n",
-       "      <td>8</td>\n",
-       "      <td>4</td>\n",
-       "      <td>2016-04-06</td>\n",
-       "      <td>on grass</td>\n",
-       "      <td>Day Game</td>\n",
-       "      <td>Arizona Diamondbacks</td>\n",
-       "      <td>...</td>\n",
-       "      <td>77.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>in unknown direction</td>\n",
-       "      <td>In Dome</td>\n",
-       "      <td>7</td>\n",
-       "      <td>2.650000</td>\n",
-       "      <td>regular season</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Loss</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",
-       "      <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>2458</th>\n",
-       "      <td>2458</td>\n",
-       "      <td>31042.0</td>\n",
-       "      <td>Toronto Blue Jays</td>\n",
-       "      <td>2</td>\n",
-       "      <td>7</td>\n",
-       "      <td>5</td>\n",
-       "      <td>2016-04-03</td>\n",
-       "      <td>on turf</td>\n",
-       "      <td>Day Game</td>\n",
-       "      <td>Tampa Bay Rays</td>\n",
-       "      <td>...</td>\n",
-       "      <td>72.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>in unknown direction</td>\n",
-       "      <td>In Dome</td>\n",
-       "      <td>8</td>\n",
-       "      <td>2.850000</td>\n",
-       "      <td>regular season</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Loss</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2459</th>\n",
-       "      <td>2459</td>\n",
-       "      <td>39500.0</td>\n",
-       "      <td>St. Louis Cardinals</td>\n",
-       "      <td>0</td>\n",
-       "      <td>5</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2016-04-03</td>\n",
-       "      <td>on grass</td>\n",
-       "      <td>Day Game</td>\n",
-       "      <td>Pittsburgh Pirates</td>\n",
-       "      <td>...</td>\n",
-       "      <td>39.0</td>\n",
-       "      <td>14.0</td>\n",
-       "      <td>out to Leftfield</td>\n",
-       "      <td>Unknown</td>\n",
-       "      <td>5</td>\n",
-       "      <td>3.033333</td>\n",
-       "      <td>regular season</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Win</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2460</th>\n",
-       "      <td>2460</td>\n",
-       "      <td>20098.0</td>\n",
-       "      <td>San Francisco Giants</td>\n",
-       "      <td>0</td>\n",
-       "      <td>6</td>\n",
-       "      <td>3</td>\n",
-       "      <td>2016-04-06</td>\n",
-       "      <td>on grass</td>\n",
-       "      <td>Day Game</td>\n",
-       "      <td>Milwaukee Brewers</td>\n",
-       "      <td>...</td>\n",
-       "      <td>66.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>in unknown direction</td>\n",
-       "      <td>In Dome</td>\n",
-       "      <td>7</td>\n",
-       "      <td>3.316667</td>\n",
-       "      <td>regular season</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Win</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2461</th>\n",
-       "      <td>2461</td>\n",
-       "      <td>17883.0</td>\n",
-       "      <td>Detroit Tigers</td>\n",
-       "      <td>0</td>\n",
-       "      <td>13</td>\n",
-       "      <td>7</td>\n",
-       "      <td>2016-04-06</td>\n",
-       "      <td>on grass</td>\n",
-       "      <td>Day Game</td>\n",
-       "      <td>Miami Marlins</td>\n",
-       "      <td>...</td>\n",
-       "      <td>71.0</td>\n",
-       "      <td>0.0</td>\n",
-       "      <td>in unknown direction</td>\n",
-       "      <td>In Dome</td>\n",
-       "      <td>10</td>\n",
-       "      <td>3.366667</td>\n",
-       "      <td>regular season</td>\n",
-       "      <td>0</td>\n",
-       "      <td>1</td>\n",
-       "      <td>Loss</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2462</th>\n",
-       "      <td>2462</td>\n",
-       "      <td>10298.0</td>\n",
-       "      <td>Boston Red Sox</td>\n",
-       "      <td>1</td>\n",
-       "      <td>10</td>\n",
-       "      <td>6</td>\n",
-       "      <td>2016-04-06</td>\n",
-       "      <td>on grass</td>\n",
-       "      <td>Night Game</td>\n",
-       "      <td>Cleveland Indians</td>\n",
-       "      <td>...</td>\n",
-       "      <td>60.0</td>\n",
-       "      <td>7.0</td>\n",
-       "      <td>out to Leftfield</td>\n",
-       "      <td>Unknown</td>\n",
-       "      <td>13</td>\n",
-       "      <td>3.483333</td>\n",
-       "      <td>regular season</td>\n",
-       "      <td>1</td>\n",
-       "      <td>0</td>\n",
-       "      <td>Win</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>2463 rows × 26 columns</p>\n",
-       "</div>"
-      ],
       "text/plain": [
        "      Unnamed: 0  attendance              away_team  away_team_errors  \\\n",
        "0              0     40030.0          New York Mets                 1   \n",
@@ -393,11 +82,11 @@
        "2462  regular season              1              0               Win  \n",
        "\n",
        "[2463 rows x 26 columns]"
-      ]
+      ],
+      "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>Unnamed: 0</th>\n      <th>attendance</th>\n      <th>away_team</th>\n      <th>away_team_errors</th>\n      <th>away_team_hits</th>\n      <th>away_team_runs</th>\n      <th>date</th>\n      <th>field_type</th>\n      <th>game_type</th>\n      <th>home_team</th>\n      <th>...</th>\n      <th>temperature</th>\n      <th>wind_speed</th>\n      <th>wind_direction</th>\n      <th>sky</th>\n      <th>total_runs</th>\n      <th>game_hours_dec</th>\n      <th>season</th>\n      <th>home_team_win</th>\n      <th>home_team_loss</th>\n      <th>home_team_outcome</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>0</td>\n      <td>40030.0</td>\n      <td>New York Mets</td>\n      <td>1</td>\n      <td>7</td>\n      <td>3</td>\n      <td>2016-04-03</td>\n      <td>on grass</td>\n      <td>Night Game</td>\n      <td>Kansas City Royals</td>\n      <td>...</td>\n      <td>74.0</td>\n      <td>14.0</td>\n      <td>from Right to Left</td>\n      <td>Sunny</td>\n      <td>7</td>\n      <td>3.216667</td>\n      <td>regular season</td>\n      <td>1</td>\n      <td>0</td>\n      <td>Win</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1</td>\n      <td>21621.0</td>\n      <td>Philadelphia Phillies</td>\n      <td>0</td>\n      <td>5</td>\n      <td>2</td>\n      <td>2016-04-06</td>\n      <td>on grass</td>\n      <td>Night Game</td>\n      <td>Cincinnati Reds</td>\n      <td>...</td>\n      <td>55.0</td>\n      <td>24.0</td>\n      <td>from Right to Left</td>\n      <td>Overcast</td>\n      <td>5</td>\n      <td>2.383333</td>\n      <td>regular season</td>\n      <td>1</td>\n      <td>0</td>\n      <td>Win</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>2</td>\n      <td>12622.0</td>\n      <td>Minnesota Twins</td>\n      <td>0</td>\n      <td>5</td>\n      <td>2</td>\n      <td>2016-04-06</td>\n      <td>on grass</td>\n      <td>Night Game</td>\n      <td>Baltimore Orioles</td>\n      <td>...</td>\n      <td>48.0</td>\n      <td>7.0</td>\n      <td>out to Leftfield</td>\n      <td>Unknown</td>\n      <td>6</td>\n      <td>3.183333</td>\n      <td>regular season</td>\n      <td>1</td>\n      <td>0</td>\n      <td>Win</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>3</td>\n      <td>18531.0</td>\n      <td>Washington Nationals</td>\n      <td>0</td>\n      <td>8</td>\n      <td>3</td>\n      <td>2016-04-06</td>\n      <td>on grass</td>\n      <td>Night Game</td>\n      <td>Atlanta Braves</td>\n      <td>...</td>\n      <td>65.0</td>\n      <td>10.0</td>\n      <td>from Right to Left</td>\n      <td>Cloudy</td>\n      <td>4</td>\n      <td>2.883333</td>\n      <td>regular season</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Loss</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4</td>\n      <td>18572.0</td>\n      <td>Colorado Rockies</td>\n      <td>1</td>\n      <td>8</td>\n      <td>4</td>\n      <td>2016-04-06</td>\n      <td>on grass</td>\n      <td>Day Game</td>\n      <td>Arizona Diamondbacks</td>\n      <td>...</td>\n      <td>77.0</td>\n      <td>0.0</td>\n      <td>in unknown direction</td>\n      <td>In Dome</td>\n      <td>7</td>\n      <td>2.650000</td>\n      <td>regular season</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Loss</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      <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>2458</th>\n      <td>2458</td>\n      <td>31042.0</td>\n      <td>Toronto Blue Jays</td>\n      <td>2</td>\n      <td>7</td>\n      <td>5</td>\n      <td>2016-04-03</td>\n      <td>on turf</td>\n      <td>Day Game</td>\n      <td>Tampa Bay Rays</td>\n      <td>...</td>\n      <td>72.0</td>\n      <td>0.0</td>\n      <td>in unknown direction</td>\n      <td>In Dome</td>\n      <td>8</td>\n      <td>2.850000</td>\n      <td>regular season</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Loss</td>\n    </tr>\n    <tr>\n      <th>2459</th>\n      <td>2459</td>\n      <td>39500.0</td>\n      <td>St. Louis Cardinals</td>\n      <td>0</td>\n      <td>5</td>\n      <td>1</td>\n      <td>2016-04-03</td>\n      <td>on grass</td>\n      <td>Day Game</td>\n      <td>Pittsburgh Pirates</td>\n      <td>...</td>\n      <td>39.0</td>\n      <td>14.0</td>\n      <td>out to Leftfield</td>\n      <td>Unknown</td>\n      <td>5</td>\n      <td>3.033333</td>\n      <td>regular season</td>\n      <td>1</td>\n      <td>0</td>\n      <td>Win</td>\n    </tr>\n    <tr>\n      <th>2460</th>\n      <td>2460</td>\n      <td>20098.0</td>\n      <td>San Francisco Giants</td>\n      <td>0</td>\n      <td>6</td>\n      <td>3</td>\n      <td>2016-04-06</td>\n      <td>on grass</td>\n      <td>Day Game</td>\n      <td>Milwaukee Brewers</td>\n      <td>...</td>\n      <td>66.0</td>\n      <td>0.0</td>\n      <td>in unknown direction</td>\n      <td>In Dome</td>\n      <td>7</td>\n      <td>3.316667</td>\n      <td>regular season</td>\n      <td>1</td>\n      <td>0</td>\n      <td>Win</td>\n    </tr>\n    <tr>\n      <th>2461</th>\n      <td>2461</td>\n      <td>17883.0</td>\n      <td>Detroit Tigers</td>\n      <td>0</td>\n      <td>13</td>\n      <td>7</td>\n      <td>2016-04-06</td>\n      <td>on grass</td>\n      <td>Day Game</td>\n      <td>Miami Marlins</td>\n      <td>...</td>\n      <td>71.0</td>\n      <td>0.0</td>\n      <td>in unknown direction</td>\n      <td>In Dome</td>\n      <td>10</td>\n      <td>3.366667</td>\n      <td>regular season</td>\n      <td>0</td>\n      <td>1</td>\n      <td>Loss</td>\n    </tr>\n    <tr>\n      <th>2462</th>\n      <td>2462</td>\n      <td>10298.0</td>\n      <td>Boston Red Sox</td>\n      <td>1</td>\n      <td>10</td>\n      <td>6</td>\n      <td>2016-04-06</td>\n      <td>on grass</td>\n      <td>Night Game</td>\n      <td>Cleveland Indians</td>\n      <td>...</td>\n      <td>60.0</td>\n      <td>7.0</td>\n      <td>out to Leftfield</td>\n      <td>Unknown</td>\n      <td>13</td>\n      <td>3.483333</td>\n      <td>regular season</td>\n      <td>1</td>\n      <td>0</td>\n      <td>Win</td>\n    </tr>\n  </tbody>\n</table>\n<p>2463 rows × 26 columns</p>\n</div>"
      },
-     "execution_count": 1,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 5
     }
    ],
    "source": [
@@ -408,6 +97,32 @@
     "data"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "output_type": "execute_result",
+     "data": {
+      "text/plain": [
+       "Index(['Unnamed: 0', 'attendance', 'away_team', 'away_team_errors',\n",
+       "       'away_team_hits', 'away_team_runs', 'date', 'field_type', 'game_type',\n",
+       "       'home_team', 'home_team_errors', 'home_team_hits', 'home_team_runs',\n",
+       "       'start_time', 'venue', 'day_of_week', 'temperature', 'wind_speed',\n",
+       "       'wind_direction', 'sky', 'total_runs', 'game_hours_dec', 'season',\n",
+       "       'home_team_win', 'home_team_loss', 'home_team_outcome'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "metadata": {},
+     "execution_count": 6
+    }
+   ],
+   "source": [
+    "data.columns"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -419,19 +134,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "array(['Sunny', 'Overcast', 'Unknown', 'Cloudy', 'In Dome', 'Drizzle',\n",
        "       'Rain', 'Night'], dtype=object)"
       ]
      },
-     "execution_count": 2,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 7
     }
    ],
    "source": [
@@ -440,7 +155,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -462,20 +177,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n"
      },
      "metadata": {
       "needs_background": "light"
-     },
-     "output_type": "display_data"
+     }
     }
    ],
    "source": [
@@ -507,20 +221,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n"
      },
      "metadata": {
       "needs_background": "light"
-     },
-     "output_type": "display_data"
+     }
     }
    ],
    "source": [
@@ -562,19 +275,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "array(['Sunday', 'Wednesday', 'Tuesday', 'Monday', 'Thursday', 'Saturday',\n",
        "       'Friday'], dtype=object)"
       ]
      },
-     "execution_count": 6,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 11
     }
    ],
    "source": [
@@ -583,7 +296,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -605,20 +318,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n"
      },
      "metadata": {
       "needs_background": "light"
-     },
-     "output_type": "display_data"
+     }
     }
    ],
    "source": [
@@ -650,20 +362,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n"
      },
      "metadata": {
       "needs_background": "light"
-     },
-     "output_type": "display_data"
+     }
     }
    ],
    "source": [
@@ -703,18 +414,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "array(['Win', 'Loss'], dtype=object)"
       ]
      },
-     "execution_count": 10,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 15
     }
    ],
    "source": [
@@ -723,7 +434,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -740,20 +451,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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      "metadata": {
       "needs_background": "light"
-     },
-     "output_type": "display_data"
+     }
     }
    ],
    "source": [
@@ -782,20 +492,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
+      "text/plain": "<Figure size 432x288 with 1 Axes>",
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      "metadata": {
       "needs_background": "light"
-     },
-     "output_type": "display_data"
+     }
     }
    ],
    "source": [
@@ -833,10 +542,11 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "array(['New York Mets', 'Philadelphia Phillies', 'Minnesota Twins',\n",
@@ -852,9 +562,8 @@
        "       'Tampa Bay Rays'], dtype=object)"
       ]
      },
-     "execution_count": 14,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 20
     }
    ],
    "source": [
@@ -863,7 +572,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -872,30 +581,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "Text(0.5, 1.0, 'Attendance - Win/Lose')"
       ]
      },
-     "execution_count": 26,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 27
     },
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n"
      },
      "metadata": {
       "needs_background": "light"
-     },
-     "output_type": "display_data"
+     }
     }
    ],
    "source": [
@@ -907,7 +615,7 @@
     "\n",
     "plt.figure(figsize=(24, 3))  # width:20, height:3\n",
     "plt.bar(left, height, tick_label = tick_label,\n",
-    "        width = 0.5, color = ['blue', 'red'])\n",
+    "        width = 0.5, color = ['red' if [i for i in mets['home_team_outcome']][i] == 'Win' else 'blue' for i in range(len(mets))])\n",
     "  \n",
     "plt.xlabel('Win (w) or Lose (l)')\n",
     "plt.ylabel('Attendance')\n",
@@ -916,7 +624,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -925,30 +633,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
+     "output_type": "execute_result",
      "data": {
       "text/plain": [
        "Text(0.5, 1.0, 'Attendance - Win/Lose')"
       ]
      },
-     "execution_count": 25,
      "metadata": {},
-     "output_type": "execute_result"
+     "execution_count": 29
     },
     {
+     "output_type": "display_data",
      "data": {
-      "image/png": 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\n"
      },
      "metadata": {
       "needs_background": "light"
-     },
-     "output_type": "display_data"
+     }
     }
    ],
    "source": [
@@ -960,7 +667,7 @@
     "\n",
     "plt.figure(figsize=(24, 3))  # width:20, height:3\n",
     "plt.bar(left, height, tick_label = tick_label,\n",
-    "        width = 0.5, color = ['blue', 'red'])\n",
+    "        width = 0.5, color = ['red' if [i for i in philadelphia['home_team_outcome']][i] == 'Win' else 'blue' for i in range(len(philadelphia))])\n",
     "  \n",
     "plt.xlabel('Win (w) or Lose (l)')\n",
     "plt.ylabel('Attendance')\n",
@@ -977,7 +684,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3.9.0 64-bit",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -991,7 +698,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.0"
+   "version": "3.8.10-final"
   },
   "orig_nbformat": 4,
   "vscode": {
@@ -1002,4 +709,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 2
-}
+}
\ No newline at end of file