diff --git a/Solutions.ipynb b/Solutions.ipynb
index 235408a..b0dee2f 100644
--- a/Solutions.ipynb
+++ b/Solutions.ipynb
@@ -6,17 +6,10 @@
    "metadata": {
     "collapsed": false
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Populating the interactive namespace from numpy and matplotlib\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
-    "%pylab inline\n",
+    "%matplotlib inline\n",
+    "import matplotlib.pyplot as plt\n",
     "import pandas as pd"
    ]
   },
@@ -60,6 +53,11 @@
        "    border: 2px solid #ccf;\n",
        "    background-color: #f4f4ff;\n",
        "}\n",
+       "h3 {\n",
+       "    color: white;\n",
+       "    background-color: black;\n",
+       "    padding: 0.5em;\n",
+       "}\n",
        "</style>"
       ],
       "text/plain": [
@@ -73,7 +71,8 @@
    ],
    "source": [
     "from IPython.core.display import HTML\n",
-    "HTML('<style>{}</style>'.format(open('style-table.css').read()))"
+    "css = open('style-table.css').read() + open('style-notebook.css').read()\n",
+    "HTML('<style>{}</style>'.format(css))"
    ]
   },
   {
@@ -85,8 +84,53 @@
    "outputs": [
     {
      "data": {
+      "text/html": [
+       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>title</th>\n",
+       "      <th>year</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>      3orthographies</td>\n",
+       "      <td> 2013</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>      11 Minutes (I)</td>\n",
+       "      <td> 2014</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>       A Lélek órása</td>\n",
+       "      <td> 1923</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td> A Gypsy Girl's Love</td>\n",
+       "      <td> 1908</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>     A Woman Scorned</td>\n",
+       "      <td> 1999</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "808880"
+       "                 title  year\n",
+       "0       3orthographies  2013\n",
+       "1       11 Minutes (I)  2014\n",
+       "2        A Lélek órása  1923\n",
+       "3  A Gypsy Girl's Love  1908\n",
+       "4      A Woman Scorned  1999"
       ]
      },
      "execution_count": 3,
@@ -96,8 +140,7 @@
    ],
    "source": [
     "titles = pd.DataFrame.from_csv('titles.csv', index_col=None)\n",
-    "titles.head()\n",
-    "len(titles)"
+    "titles.head()"
    ]
   },
   {
@@ -108,32 +151,147 @@
    },
    "outputs": [
     {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "Int64Index: 808880 entries, 0 to 808879\n",
+      "Data columns (total 2 columns):\n",
+      "title    808880 non-null object\n",
+      "year     808880 non-null float64\n",
+      "dtypes: float64(1), object(1)\n",
+      "memory usage: 18.5+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "titles.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
      "data": {
+      "text/html": [
+       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>title</th>\n",
+       "      <th>name</th>\n",
+       "      <th>type</th>\n",
+       "      <th>character</th>\n",
+       "      <th>n</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>                      The Core</td>\n",
+       "      <td> Alejandro Abellan</td>\n",
+       "      <td> actor</td>\n",
+       "      <td> U.S.S. Soldier</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>        Il momento di uccidere</td>\n",
+       "      <td>   Remo De Angelis</td>\n",
+       "      <td> actor</td>\n",
+       "      <td>           Dago</td>\n",
+       "      <td>  9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>             Across the Divide</td>\n",
+       "      <td>     Thomas Delmar</td>\n",
+       "      <td> actor</td>\n",
+       "      <td>           Dago</td>\n",
+       "      <td>  4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>                         Revan</td>\n",
+       "      <td>       Diego James</td>\n",
+       "      <td> actor</td>\n",
+       "      <td>           Dago</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td> Un homme marche dans la ville</td>\n",
+       "      <td>      Fabien Loris</td>\n",
+       "      <td> actor</td>\n",
+       "      <td>           Dago</td>\n",
+       "      <td> 12</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
       "text/plain": [
-       "5271490"
+       "                           title               name   type       character   n\n",
+       "0                       The Core  Alejandro Abellan  actor  U.S.S. Soldier NaN\n",
+       "1         Il momento di uccidere    Remo De Angelis  actor            Dago   9\n",
+       "2              Across the Divide      Thomas Delmar  actor            Dago   4\n",
+       "3                          Revan        Diego James  actor            Dago NaN\n",
+       "4  Un homme marche dans la ville       Fabien Loris  actor            Dago  12"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "cast = pd.DataFrame.from_csv('cast.csv', index_col=None)\n",
-    "cast.head()\n",
-    "len(cast)"
+    "cast.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "Int64Index: 5271490 entries, 0 to 5271489\n",
+      "Data columns (total 5 columns):\n",
+      "title        object\n",
+      "name         object\n",
+      "type         object\n",
+      "character    object\n",
+      "n            float64\n",
+      "dtypes: float64(1), object(4)\n",
+      "memory usage: 241.3+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "cast.info()"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "* How many movies were made in the 1940s compared to the decade that followed?"
+    "### How many movies were made in the 1940s compared to the decade that followed?"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 7,
    "metadata": {
     "collapsed": false
    },
@@ -155,7 +313,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 8,
    "metadata": {
     "collapsed": false
    },
@@ -181,12 +339,348 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "* Graph the number of movies released each year since the beginning of film."
+    "### Graph the number of movies released each year since the beginning of film."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2014    49775\n",
+       "2013    48838\n",
+       "2012    45064\n",
+       "2011    40640\n",
+       "2010    35528\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "y = titles.year.value_counts()\n",
+    "y.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Container object of 139 artists>"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
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+       "ToxpPW/LuAt4oap+c2jUw8D1bfj6oddY8XV9qTWNaz1fal0jW9ePdOZ7pX+A+xjcrf1jBntUvwz8\n",
+       "VQbH3p4FvgVcPDT93we+A+xm6Cw/g72c3QxOcH1lXDUBJzPY49sNPM/hVxisZE2fAW5kcAXE94Av\n",
+       "zpn+5va6e2hXcY26pqXWxWDj8yPgmaGfD036sxqa7wvAP5uS398k1vOFfnfjWs8/BrzT/s5m15HN\n",
+       "wDoGJ9xfZLDTuHZc6/pSaxrjer7kz2oU67o35UmSuqbtMJQkaQoZFpKkLsNCktRlWEiSugwLSVKX\n",
+       "YSFJ6jIsJEldhoUkqev/A/Y3Lkfsu1kKAAAAAElFTkSuQmCC\n"
+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f506dd015f8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.bar(y.index, y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7f50976f3080>]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
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+       "Glfb9vVaPd+dfgHXkF2t/SbZL6o/Bt5P1vb2EHA3cGhu/j8Efg6sJ9fLT/YrZz1ZB9d3uxUTMJ3s\n",
+       "F9964BHGnmHQyZhOBU4nOwPiUeCbFfOfm7a7kXQWV7tjajUusoPPa8CDudeeRX9XueXOA/5dj/z9\n",
+       "itjP6/3turWfH0526++HcvvIMmA2WYf7Y2Q/Gmd1a19vNaYu7uctf1ft2Nd9UZ6ZmTXUa81QZmbW\n",
+       "g5wszMysIScLMzNryMnCzMwacrIwM7OGnCzMzKwhJwszM2vIycLMzBr6/6Xlae6Tu0hdAAAAAElF\n",
+       "TkSuQmCC\n"
+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f509776b0f0>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(y.index, y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
    "metadata": {
     "collapsed": false
    },
@@ -202,19 +696,19 @@
        "dtype: int64"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "y = titles.year.value_counts().sort_index()\n",
+    "y = y.sort_index()\n",
     "y.head()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 13,
    "metadata": {
     "collapsed": false
    },
@@ -222,10 +716,10 @@
     {
      "data": {
       "text/plain": [
-       "[<matplotlib.lines.Line2D at 0x7f3e6a6d6a20>]"
+       "[<matplotlib.lines.Line2D at 0x7f50976dd278>]"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -387,7 +881,7 @@
        "RK5CYII=\n"
       ],
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f3e40c74550>"
+       "<matplotlib.figure.Figure at 0x7f509774ee10>"
       ]
      },
      "metadata": {},
@@ -395,12 +889,19 @@
     }
    ],
    "source": [
-    "plot(y.index, y)"
+    "plt.plot(y.sort_index().index, y)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Bar graph the number of films made in each of the years 1870 through 1893."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 14,
    "metadata": {
     "collapsed": false
    },
@@ -411,7 +912,7 @@
        "(0, 9.0)"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -419,76 +920,76 @@
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+       "IF21frGN4QvcXuBOxt5/WsF+sW5bTNMv/GKRJDXCJegkqREGuiQ1wkCXpEYY6JLUCANdkhphoEtS\n",
+       "Iwx0SWqEgS5Jjfg/dpm+weSmHgsAAAAASUVORK5CYII=\n"
       ],
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f3e6a6a4080>"
+       "<matplotlib.figure.Figure at 0x7f509766e908>"
       ]
      },
      "metadata": {},
@@ -496,14 +997,21 @@
     }
    ],
    "source": [
-    "early_y = y.loc[1860:1893]\n",
-    "bar(early_y.index, early_y)\n",
-    "ylim(0)"
+    "early_y = y.loc[1870:1893]\n",
+    "plt.bar(early_y.index, early_y, align='center')\n",
+    "plt.ylim(0)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Display the title and year of the films released through 1890."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 15,
    "metadata": {
     "collapsed": false
    },
@@ -619,7 +1127,7 @@
        "710667                    Traffic in King's Road, Chelsea  1890"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -629,8 +1137,15 @@
    ]
   },
   {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### How many films were made in 1894?"
+   ]
+  },
+  {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 16,
    "metadata": {
     "collapsed": false
    },
@@ -643,7 +1158,7 @@
        "dtype: int64"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -656,12 +1171,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "* Graph the number of movies released each decade since the beginning of film."
+    "### Graph the number of movies released each decade since the beginning of film."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 17,
    "metadata": {
     "collapsed": false
    },
@@ -672,7 +1187,7 @@
        "<Container object of 16 artists>"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     },
@@ -680,109 +1195,109 @@
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+       "t/PD/f5Wajt/L/Cz9nc2t51sBtYwOOH+FIMPjatXaltfbE8rsa0v5XUa1XbuRXmSpK5pOwwlSZpC\n",
+       "hoUkqcuwkCR1GRaSpC7DQpLUZVhIkroMC0lSl2EhSer6/wZ7beajSrxxAAAAAElFTkSuQmCC\n"
       ],
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x7f3e6a6b0710>"
+       "<matplotlib.figure.Figure at 0x7f509769d0f0>"
       ]
      },
      "metadata": {},
@@ -791,95 +1306,450 @@
    ],
    "source": [
     "decades = titles.year.map(decade).value_counts().sort_index()\n",
-    "bar(decades.index, decades / 10.0, width=8.0)"
+    "plt.bar(decades.index, decades / 10.0, align='center', width=8)"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "* How many movies were made in the 1940s compared to the decade that followed?"
+    "### How many movies were made in each year of the first decade of the 2000s?\n",
+    "\n",
+    "Both display the numbers, and draw a bar graph."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2000     8563\n",
+       "2001     9351\n",
+       "2002    10247\n",
+       "2003    11455\n",
+       "2004    13831\n",
+       "2005    16371\n",
+       "2006    17282\n",
+       "2007    19186\n",
+       "2008    23761\n",
+       "2009    30215\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "y = titles[titles.year.map(decade) == 2000].year.value_counts().sort_index()\n",
+    "y"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Container object of 10 artists>"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
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+       "LCRJvQwLSVIvw0KS1MuwkCT1mpiwSLIuyd4k+5L85rjHI0l6xUSERZLXAf8BWAesAt6X5LLxjmox\n",
+       "TY97ACM2Pe4BjNj0uAcwYtPjHsCITY97AKeEiQgL4K3A01W1v6qOAP8FuHbMY1pE0+MewIhNj3sA\n",
+       "IzY97gGM2PS4BzBi0+MewClhUsLiAuDZzvKBVpMkTYBJCYsa9wAkSa8uVeM/Tid5G7C5qta15ZuA\n",
+       "l6vqls464x+oJJ1iqirD2M6khMUS4LvAVcBzwC7gfVX1nbEOTJIEwJJxDwCgqo4m+ZfA14DXAVsM\n",
+       "CkmaHBNxZiFJmmxju8Gd5ItJDiXZ3an9UpI/S/KtJDuSnNXqS5N8qdUfT/LOTp/fSLI7yRNJvprk\n",
+       "58Yxn64kK5M8kuTJJN9O8uFWX55kZ5KnkjyU5JxOn5vaGxL3Jrm6U1/d5rcvyW3jmM9cw5pfkmVJ\n",
+       "vpLkO207nxnXnLqG+fPrPL6j+7s+TkP+/Vya5PeSfLf9HH9tHHPqGvL8Jur4crJza/VHkvwwye/O\n",
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+       "/QYG92MuA/4d8K9b/TeB327tVcDjwOuBS4CneeWsbxfw1tZ+AFh3uswPWAa8s63zeuBPTqP5ndHZ\n",
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+       "C5jfhZN+fDnBuc2ae3P6Ak7y2DJpYfF+YFOSbzI4xfq/rf5FBhP7JnAr8D+Av0nys8DngV+qqvOB\n",
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+       "B5wDPMUg6Z+pqmfaJv4r8A/HMfa5kryewQ/z7qq6r5UPJTmvPb4CeL7VZ3jlLAoG/wEPtPqFc+pj\n",
+       "v8wGQ5lfdx6/B3y3qj4/2lGfuCH9/N4GvCXJM8DXgTcn+e+LMf4+Q/r5HQZ+XFX/rdX/APjlUY/9\n",
+       "RAxpfhN5fDnJub2akz62TFRYJHlT+34G8G+AO9rysiQ/09rvAo5U1V7gfwM/n+SNbRPvAvYs+sDn\n",
+       "aNc3twB7qup3Og/tADa09gbgvk59fXtlyaXAFLCrqg4CLyVZ07Z5Y6fP2Axrfm1bn2JwLfijizH2\n",
+       "EzHEn99/rKoLqupS4B3AU1X1jxdnFq9uiPMr4MtJrmzrXQU8OfIJ9Bji7+fEHV/mMbefdO0uVNX3\n",
+       "ONljy4nehR/2F4PLDs8xuNT0LINLUB9mcHf/u8CnO+teAuxl8IN6iMH9itnHfp3B6eETwP3A3xnX\n",
+       "nDpjegfwMoNXWDzWvtYByxncuH+qzeOcTp+PM7ixthf41U59dZvf08Dnxz23Yc6PwbOZlxkcYGa3\n",
+       "8/7TZX5ztnkJk/NqqGH+fl4E/HH7/7eTwbX+02l+E3V8mefc9jM4C/whg2Ptz7f6SR1bfFOeJKnX\n",
+       "RF2GkiRNJsNCktTLsJAk9TIsJEm9DAtJUi/DQpLUy7CQJPUyLCRJvf4ftw8wggRcASsAAAAASUVO\n",
+       "RK5CYII=\n"
+      ],
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x7f509769a240>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.bar(y.index, y, align='center')"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "* How many movies were made in the 1940s compared to the decade that followed?"
+    "### What are the ten most common character names in film?"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 20,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
-      "text/html": [
-       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
-       "<table border=\"1\" class=\"dataframe\">\n",
-       "  <thead>\n",
-       "    <tr style=\"text-align: right;\">\n",
-       "      <th></th>\n",
-       "      <th>title</th>\n",
-       "      <th>year</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>      3orthographies</td>\n",
-       "      <td> 2013</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>      11 Minutes (I)</td>\n",
-       "      <td> 2014</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>       A Lélek órása</td>\n",
-       "      <td> 1923</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td> A Gypsy Girl's Love</td>\n",
-       "      <td> 1908</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>     A Woman Scorned</td>\n",
-       "      <td> 1999</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
       "text/plain": [
-       "                 title  year\n",
-       "0       3orthographies  2013\n",
-       "1       11 Minutes (I)  2014\n",
-       "2        A Lélek órása  1923\n",
-       "3  A Gypsy Girl's Love  1908\n",
-       "4      A Woman Scorned  1999"
+       "Himself     187547\n",
+       "Herself      69994\n",
+       "Narrator     19472\n",
+       "Dancer       15383\n",
+       "Extra        12412\n",
+       "Doctor       10142\n",
+       "Student      10075\n",
+       "Nurse         8734\n",
+       "Reporter      8681\n",
+       "Zombie        8604\n",
+       "dtype: int64"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
-    "titles.head()"
+    "common_characters = cast.character.value_counts()\n",
+    "common_characters.iloc[:10]"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "* How many movies were made in the 1940s compared to the decade that followed?"
+    "### BONUS: Find the top ten character names that are not common words"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0        A\n",
+       "1      A's\n",
+       "2     AA's\n",
+       "3     AB's\n",
+       "4    ABM's\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "words = pd.Series(open('/usr/share/dict/words').read().split())\n",
+    "words.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "16483             a\n",
+       "16484      aardvark\n",
+       "16485    aardvark's\n",
+       "16486     aardvarks\n",
+       "16487         abaci\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "real_words = words[(words.str[0]).map(str.islower)]\n",
+    "real_words.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "real_word_set = set(real_words)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['Himself', 'Herself', 'Narrator', 'Dancer', 'Extra', 'Doctor', 'Student', 'Nurse', 'Reporter', 'Zombie', 'Bartender', 'Policeman', 'Mother', 'Party Guest', 'Minor Role', 'Man', 'Waiter', 'Waitress', 'Girl', 'Soldier', 'Woman', 'John', 'Father', 'Bar Patron', 'Henchman', 'Townsman', 'Police Officer', 'Sam', 'Jack', 'Sarah', 'David', 'Boy', 'Paul', 'Detective', 'Anna', 'Tom', 'Singer', 'Mike', 'Maria', 'Alex', 'Mary', 'Joe', 'Cop', 'Priest', 'Frank', 'Michael', 'Peter', 'Guard', 'Tony', 'Charlie', 'Teacher', 'Themselves', 'Mark', 'Max', 'James', 'Steve', 'Lisa', 'George', 'Laura', 'Judge', 'Chris', 'Secretary', 'Additional Voices', 'Ben', 'Mom', 'Photographer', 'Jimmy', 'Wedding Guest', 'Restaurant Patron', 'Barfly', 'Receptionist', 'Alice', 'Dad', 'Bob', 'Bill', 'Undetermined Role', 'Security Guard', 'Child', 'Billy', 'Driver', 'Jake', 'Adam', 'Jim', 'Marie', 'Rachel', 'Nick', 'Robert', 'Dave', 'Julie', 'Prisoner', 'Jason', 'Customer', 'Wife', 'Sheriff', 'Daniel', 'Sara', 'Jane', 'Taxi Driver', 'Jenny', 'Harry', ...], dtype='object')"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "common_characters.index"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['Himself', 'Herself', 'Narrator', 'Dancer', 'Extra', 'Doctor', 'Student', 'Nurse', 'Reporter', 'Zombie'], dtype='object')"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "common_characters.index[:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "def looks_real(character):\n",
+    "    cw = character.lower().split()\n",
+    "    return all(w not in real_word_set for w in cw)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([False, False, False, False, False, False, False, False, False, False], dtype=bool)"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "common_characters.index[:10].map(looks_real)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['Sam', 'Sarah', 'David', ..., 'Sandra Bevin', 'Taisya',\n",
+       "       'Porfirio Torres'], dtype=object)"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "real_names = common_characters.index[common_characters.index.map(looks_real)]\n",
+    "real_names.values"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Sam        4914\n",
+       "Sarah      4801\n",
+       "David      4766\n",
+       "Paul       4664\n",
+       "Anna       4532\n",
+       "Alex       4233\n",
+       "Mary       4140\n",
+       "Joe        4080\n",
+       "Michael    3832\n",
+       "Charlie    3510\n",
+       "Max        3288\n",
+       "James      3272\n",
+       "Steve      3253\n",
+       "Lisa       3213\n",
+       "George     3193\n",
+       "Laura      3181\n",
+       "Chris      3078\n",
+       "Ben        2954\n",
+       "Barfly     2828\n",
+       "Alice      2747\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "common_characters.loc[real_names.values][:20]"
    ]
   },
   {
diff --git a/style-notebook.css b/style-notebook.css
new file mode 100644
index 0000000..c99706c
--- /dev/null
+++ b/style-notebook.css
@@ -0,0 +1,5 @@
+h3 {
+    color: white;
+    background-color: black;
+    padding: 0.5em;
+}