Guided+Project+-+STAR+WARS.ipynb

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   "source": [
    "# OVERVIEW\n",
    "\n",
    "In this [survey data set](https://github.com/fivethirtyeight/data/tree/master/star-wars-survey) from the team at [FiveThirtyEight](https://fivethirtyeight.com/), *Star Wars* fans were asked some questions regarding their opinions on the franchise. This dataset contains several important demographic variables (ex. gender, age, etc.) but also contains a binary response to opinion questions as well as columns where the respondent had to check 1 or more boxes. \n",
    "\n",
    "So the purpose of this project is to clean this data set and analyse the data to achieve the answer to the following question:\n",
    "\n",
    "**\"Does the rest of America realize that “The Empire Strikes Back” is clearly the best of the bunch?\"**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
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   },
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "star_wars = pd.read_csv(\"star_wars.csv\", encoding=\"ISO-8859-1\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RespondentID</th>\n",
       "      <th>Have you seen any of the 6 films in the Star Wars franchise?</th>\n",
       "      <th>Do you consider yourself to be a fan of the Star Wars film franchise?</th>\n",
       "      <th>Which of the following Star Wars films have you seen? Please select all that apply.</th>\n",
       "      <th>Unnamed: 4</th>\n",
       "      <th>Unnamed: 5</th>\n",
       "      <th>Unnamed: 6</th>\n",
       "      <th>Unnamed: 7</th>\n",
       "      <th>Unnamed: 8</th>\n",
       "      <th>Please rank the Star Wars films in order of preference with 1 being your favorite film in the franchise and 6 being your least favorite film.</th>\n",
       "      <th>...</th>\n",
       "      <th>Unnamed: 28</th>\n",
       "      <th>Which character shot first?</th>\n",
       "      <th>Are you familiar with the Expanded Universe?</th>\n",
       "      <th>Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦</th>\n",
       "      <th>Do you consider yourself to be a fan of the Star Trek franchise?</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Household Income</th>\n",
       "      <th>Education</th>\n",
       "      <th>Location (Census Region)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>NaN</td>\n",
       "      <td>Response</td>\n",
       "      <td>Response</td>\n",
       "      <td>Star Wars: Episode I  The Phantom Menace</td>\n",
       "      <td>Star Wars: Episode II  Attack of the Clones</td>\n",
       "      <td>Star Wars: Episode III  Revenge of the Sith</td>\n",
       "      <td>Star Wars: Episode IV  A New Hope</td>\n",
       "      <td>Star Wars: Episode V The Empire Strikes Back</td>\n",
       "      <td>Star Wars: Episode VI Return of the Jedi</td>\n",
       "      <td>Star Wars: Episode I  The Phantom Menace</td>\n",
       "      <td>...</td>\n",
       "      <td>Yoda</td>\n",
       "      <td>Response</td>\n",
       "      <td>Response</td>\n",
       "      <td>Response</td>\n",
       "      <td>Response</td>\n",
       "      <td>Response</td>\n",
       "      <td>Response</td>\n",
       "      <td>Response</td>\n",
       "      <td>Response</td>\n",
       "      <td>Response</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3.292880e+09</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Star Wars: Episode I  The Phantom Menace</td>\n",
       "      <td>Star Wars: Episode II  Attack of the Clones</td>\n",
       "      <td>Star Wars: Episode III  Revenge of the Sith</td>\n",
       "      <td>Star Wars: Episode IV  A New Hope</td>\n",
       "      <td>Star Wars: Episode V The Empire Strikes Back</td>\n",
       "      <td>Star Wars: Episode VI Return of the Jedi</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>Very favorably</td>\n",
       "      <td>I don't understand this question</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>High school degree</td>\n",
       "      <td>South Atlantic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.292880e+09</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>$0 - $24,999</td>\n",
       "      <td>Bachelor degree</td>\n",
       "      <td>West South Central</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.292765e+09</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Star Wars: Episode I  The Phantom Menace</td>\n",
       "      <td>Star Wars: Episode II  Attack of the Clones</td>\n",
       "      <td>Star Wars: Episode III  Revenge of the Sith</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>Unfamiliar (N/A)</td>\n",
       "      <td>I don't understand this question</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>$0 - $24,999</td>\n",
       "      <td>High school degree</td>\n",
       "      <td>West North Central</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.292763e+09</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Star Wars: Episode I  The Phantom Menace</td>\n",
       "      <td>Star Wars: Episode II  Attack of the Clones</td>\n",
       "      <td>Star Wars: Episode III  Revenge of the Sith</td>\n",
       "      <td>Star Wars: Episode IV  A New Hope</td>\n",
       "      <td>Star Wars: Episode V The Empire Strikes Back</td>\n",
       "      <td>Star Wars: Episode VI Return of the Jedi</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>Very favorably</td>\n",
       "      <td>I don't understand this question</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>$100,000 - $149,999</td>\n",
       "      <td>Some college or Associate degree</td>\n",
       "      <td>West North Central</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3.292731e+09</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Star Wars: Episode I  The Phantom Menace</td>\n",
       "      <td>Star Wars: Episode II  Attack of the Clones</td>\n",
       "      <td>Star Wars: Episode III  Revenge of the Sith</td>\n",
       "      <td>Star Wars: Episode IV  A New Hope</td>\n",
       "      <td>Star Wars: Episode V The Empire Strikes Back</td>\n",
       "      <td>Star Wars: Episode VI Return of the Jedi</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>Somewhat favorably</td>\n",
       "      <td>Greedo</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>$100,000 - $149,999</td>\n",
       "      <td>Some college or Associate degree</td>\n",
       "      <td>West North Central</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>3.292719e+09</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Star Wars: Episode I  The Phantom Menace</td>\n",
       "      <td>Star Wars: Episode II  Attack of the Clones</td>\n",
       "      <td>Star Wars: Episode III  Revenge of the Sith</td>\n",
       "      <td>Star Wars: Episode IV  A New Hope</td>\n",
       "      <td>Star Wars: Episode V The Empire Strikes Back</td>\n",
       "      <td>Star Wars: Episode VI Return of the Jedi</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>Very favorably</td>\n",
       "      <td>Han</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>$25,000 - $49,999</td>\n",
       "      <td>Bachelor degree</td>\n",
       "      <td>Middle Atlantic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>3.292685e+09</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Star Wars: Episode I  The Phantom Menace</td>\n",
       "      <td>Star Wars: Episode II  Attack of the Clones</td>\n",
       "      <td>Star Wars: Episode III  Revenge of the Sith</td>\n",
       "      <td>Star Wars: Episode IV  A New Hope</td>\n",
       "      <td>Star Wars: Episode V The Empire Strikes Back</td>\n",
       "      <td>Star Wars: Episode VI Return of the Jedi</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>Very favorably</td>\n",
       "      <td>Han</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>High school degree</td>\n",
       "      <td>East North Central</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>3.292664e+09</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Star Wars: Episode I  The Phantom Menace</td>\n",
       "      <td>Star Wars: Episode II  Attack of the Clones</td>\n",
       "      <td>Star Wars: Episode III  Revenge of the Sith</td>\n",
       "      <td>Star Wars: Episode IV  A New Hope</td>\n",
       "      <td>Star Wars: Episode V The Empire Strikes Back</td>\n",
       "      <td>Star Wars: Episode VI Return of the Jedi</td>\n",
       "      <td>4</td>\n",
       "      <td>...</td>\n",
       "      <td>Very favorably</td>\n",
       "      <td>Han</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>High school degree</td>\n",
       "      <td>South Atlantic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>3.292654e+09</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Star Wars: Episode I  The Phantom Menace</td>\n",
       "      <td>Star Wars: Episode II  Attack of the Clones</td>\n",
       "      <td>Star Wars: Episode III  Revenge of the Sith</td>\n",
       "      <td>Star Wars: Episode IV  A New Hope</td>\n",
       "      <td>Star Wars: Episode V The Empire Strikes Back</td>\n",
       "      <td>Star Wars: Episode VI Return of the Jedi</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>Somewhat favorably</td>\n",
       "      <td>Han</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>$0 - $24,999</td>\n",
       "      <td>Some college or Associate degree</td>\n",
       "      <td>South Atlantic</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   RespondentID Have you seen any of the 6 films in the Star Wars franchise?  \\\n",
       "0           NaN                                           Response             \n",
       "1  3.292880e+09                                                Yes             \n",
       "2  3.292880e+09                                                 No             \n",
       "3  3.292765e+09                                                Yes             \n",
       "4  3.292763e+09                                                Yes             \n",
       "5  3.292731e+09                                                Yes             \n",
       "6  3.292719e+09                                                Yes             \n",
       "7  3.292685e+09                                                Yes             \n",
       "8  3.292664e+09                                                Yes             \n",
       "9  3.292654e+09                                                Yes             \n",
       "\n",
       "  Do you consider yourself to be a fan of the Star Wars film franchise?  \\\n",
       "0                                           Response                      \n",
       "1                                                Yes                      \n",
       "2                                                NaN                      \n",
       "3                                                 No                      \n",
       "4                                                Yes                      \n",
       "5                                                Yes                      \n",
       "6                                                Yes                      \n",
       "7                                                Yes                      \n",
       "8                                                Yes                      \n",
       "9                                                Yes                      \n",
       "\n",
       "  Which of the following Star Wars films have you seen? Please select all that apply.  \\\n",
       "0           Star Wars: Episode I  The Phantom Menace                                    \n",
       "1           Star Wars: Episode I  The Phantom Menace                                    \n",
       "2                                                NaN                                    \n",
       "3           Star Wars: Episode I  The Phantom Menace                                    \n",
       "4           Star Wars: Episode I  The Phantom Menace                                    \n",
       "5           Star Wars: Episode I  The Phantom Menace                                    \n",
       "6           Star Wars: Episode I  The Phantom Menace                                    \n",
       "7           Star Wars: Episode I  The Phantom Menace                                    \n",
       "8           Star Wars: Episode I  The Phantom Menace                                    \n",
       "9           Star Wars: Episode I  The Phantom Menace                                    \n",
       "\n",
       "                                    Unnamed: 4  \\\n",
       "0  Star Wars: Episode II  Attack of the Clones   \n",
       "1  Star Wars: Episode II  Attack of the Clones   \n",
       "2                                          NaN   \n",
       "3  Star Wars: Episode II  Attack of the Clones   \n",
       "4  Star Wars: Episode II  Attack of the Clones   \n",
       "5  Star Wars: Episode II  Attack of the Clones   \n",
       "6  Star Wars: Episode II  Attack of the Clones   \n",
       "7  Star Wars: Episode II  Attack of the Clones   \n",
       "8  Star Wars: Episode II  Attack of the Clones   \n",
       "9  Star Wars: Episode II  Attack of the Clones   \n",
       "\n",
       "                                    Unnamed: 5  \\\n",
       "0  Star Wars: Episode III  Revenge of the Sith   \n",
       "1  Star Wars: Episode III  Revenge of the Sith   \n",
       "2                                          NaN   \n",
       "3  Star Wars: Episode III  Revenge of the Sith   \n",
       "4  Star Wars: Episode III  Revenge of the Sith   \n",
       "5  Star Wars: Episode III  Revenge of the Sith   \n",
       "6  Star Wars: Episode III  Revenge of the Sith   \n",
       "7  Star Wars: Episode III  Revenge of the Sith   \n",
       "8  Star Wars: Episode III  Revenge of the Sith   \n",
       "9  Star Wars: Episode III  Revenge of the Sith   \n",
       "\n",
       "                          Unnamed: 6  \\\n",
       "0  Star Wars: Episode IV  A New Hope   \n",
       "1  Star Wars: Episode IV  A New Hope   \n",
       "2                                NaN   \n",
       "3                                NaN   \n",
       "4  Star Wars: Episode IV  A New Hope   \n",
       "5  Star Wars: Episode IV  A New Hope   \n",
       "6  Star Wars: Episode IV  A New Hope   \n",
       "7  Star Wars: Episode IV  A New Hope   \n",
       "8  Star Wars: Episode IV  A New Hope   \n",
       "9  Star Wars: Episode IV  A New Hope   \n",
       "\n",
       "                                     Unnamed: 7  \\\n",
       "0  Star Wars: Episode V The Empire Strikes Back   \n",
       "1  Star Wars: Episode V The Empire Strikes Back   \n",
       "2                                           NaN   \n",
       "3                                           NaN   \n",
       "4  Star Wars: Episode V The Empire Strikes Back   \n",
       "5  Star Wars: Episode V The Empire Strikes Back   \n",
       "6  Star Wars: Episode V The Empire Strikes Back   \n",
       "7  Star Wars: Episode V The Empire Strikes Back   \n",
       "8  Star Wars: Episode V The Empire Strikes Back   \n",
       "9  Star Wars: Episode V The Empire Strikes Back   \n",
       "\n",
       "                                 Unnamed: 8  \\\n",
       "0  Star Wars: Episode VI Return of the Jedi   \n",
       "1  Star Wars: Episode VI Return of the Jedi   \n",
       "2                                       NaN   \n",
       "3                                       NaN   \n",
       "4  Star Wars: Episode VI Return of the Jedi   \n",
       "5  Star Wars: Episode VI Return of the Jedi   \n",
       "6  Star Wars: Episode VI Return of the Jedi   \n",
       "7  Star Wars: Episode VI Return of the Jedi   \n",
       "8  Star Wars: Episode VI Return of the Jedi   \n",
       "9  Star Wars: Episode VI Return of the Jedi   \n",
       "\n",
       "  Please rank the Star Wars films in order of preference with 1 being your favorite film in the franchise and 6 being your least favorite film.  \\\n",
       "0           Star Wars: Episode I  The Phantom Menace                                                                                              \n",
       "1                                                  3                                                                                              \n",
       "2                                                NaN                                                                                              \n",
       "3                                                  1                                                                                              \n",
       "4                                                  5                                                                                              \n",
       "5                                                  5                                                                                              \n",
       "6                                                  1                                                                                              \n",
       "7                                                  6                                                                                              \n",
       "8                                                  4                                                                                              \n",
       "9                                                  5                                                                                              \n",
       "\n",
       "            ...                    Unnamed: 28  \\\n",
       "0           ...                           Yoda   \n",
       "1           ...                 Very favorably   \n",
       "2           ...                            NaN   \n",
       "3           ...               Unfamiliar (N/A)   \n",
       "4           ...                 Very favorably   \n",
       "5           ...             Somewhat favorably   \n",
       "6           ...                 Very favorably   \n",
       "7           ...                 Very favorably   \n",
       "8           ...                 Very favorably   \n",
       "9           ...             Somewhat favorably   \n",
       "\n",
       "        Which character shot first?  \\\n",
       "0                          Response   \n",
       "1  I don't understand this question   \n",
       "2                               NaN   \n",
       "3  I don't understand this question   \n",
       "4  I don't understand this question   \n",
       "5                            Greedo   \n",
       "6                               Han   \n",
       "7                               Han   \n",
       "8                               Han   \n",
       "9                               Han   \n",
       "\n",
       "  Are you familiar with the Expanded Universe?  \\\n",
       "0                                     Response   \n",
       "1                                          Yes   \n",
       "2                                          NaN   \n",
       "3                                           No   \n",
       "4                                           No   \n",
       "5                                          Yes   \n",
       "6                                          Yes   \n",
       "7                                          Yes   \n",
       "8                                           No   \n",
       "9                                           No   \n",
       "\n",
       "  Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦  \\\n",
       "0                                           Response                   \n",
       "1                                                 No                   \n",
       "2                                                NaN                   \n",
       "3                                                NaN                   \n",
       "4                                                NaN                   \n",
       "5                                                 No                   \n",
       "6                                                 No                   \n",
       "7                                                 No                   \n",
       "8                                                NaN                   \n",
       "9                                                NaN                   \n",
       "\n",
       "  Do you consider yourself to be a fan of the Star Trek franchise?    Gender  \\\n",
       "0                                           Response                Response   \n",
       "1                                                 No                    Male   \n",
       "2                                                Yes                    Male   \n",
       "3                                                 No                    Male   \n",
       "4                                                Yes                    Male   \n",
       "5                                                 No                    Male   \n",
       "6                                                Yes                    Male   \n",
       "7                                                 No                    Male   \n",
       "8                                                Yes                    Male   \n",
       "9                                                 No                    Male   \n",
       "\n",
       "        Age     Household Income                         Education  \\\n",
       "0  Response             Response                          Response   \n",
       "1     18-29                  NaN                High school degree   \n",
       "2     18-29         $0 - $24,999                   Bachelor degree   \n",
       "3     18-29         $0 - $24,999                High school degree   \n",
       "4     18-29  $100,000 - $149,999  Some college or Associate degree   \n",
       "5     18-29  $100,000 - $149,999  Some college or Associate degree   \n",
       "6     18-29    $25,000 - $49,999                   Bachelor degree   \n",
       "7     18-29                  NaN                High school degree   \n",
       "8     18-29                  NaN                High school degree   \n",
       "9     18-29         $0 - $24,999  Some college or Associate degree   \n",
       "\n",
       "  Location (Census Region)  \n",
       "0                 Response  \n",
       "1           South Atlantic  \n",
       "2       West South Central  \n",
       "3       West North Central  \n",
       "4       West North Central  \n",
       "5       West North Central  \n",
       "6          Middle Atlantic  \n",
       "7       East North Central  \n",
       "8           South Atlantic  \n",
       "9           South Atlantic  \n",
       "\n",
       "[10 rows x 38 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "star_wars.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['RespondentID',\n",
       "       'Have you seen any of the 6 films in the Star Wars franchise?',\n",
       "       'Do you consider yourself to be a fan of the Star Wars film franchise?',\n",
       "       'Which of the following Star Wars films have you seen? Please select all that apply.',\n",
       "       'Unnamed: 4', 'Unnamed: 5', 'Unnamed: 6', 'Unnamed: 7', 'Unnamed: 8',\n",
       "       'Please rank the Star Wars films in order of preference with 1 being your favorite film in the franchise and 6 being your least favorite film.',\n",
       "       'Unnamed: 10', 'Unnamed: 11', 'Unnamed: 12', 'Unnamed: 13',\n",
       "       'Unnamed: 14',\n",
       "       'Please state whether you view the following characters favorably, unfavorably, or are unfamiliar with him/her.',\n",
       "       'Unnamed: 16', 'Unnamed: 17', 'Unnamed: 18', 'Unnamed: 19',\n",
       "       'Unnamed: 20', 'Unnamed: 21', 'Unnamed: 22', 'Unnamed: 23',\n",
       "       'Unnamed: 24', 'Unnamed: 25', 'Unnamed: 26', 'Unnamed: 27',\n",
       "       'Unnamed: 28', 'Which character shot first?',\n",
       "       'Are you familiar with the Expanded Universe?',\n",
       "       'Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦',\n",
       "       'Do you consider yourself to be a fan of the Star Trek franchise?',\n",
       "       'Gender', 'Age', 'Household Income', 'Education',\n",
       "       'Location (Census Region)'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "star_wars.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1187"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(star_wars)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(star_wars[pd.isnull(star_wars['RespondentID'])])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1186"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(star_wars[pd.notnull(star_wars['RespondentID'])])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "star_wars = star_wars[pd.notnull(star_wars['RespondentID'])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RespondentID</th>\n",
       "      <th>Have you seen any of the 6 films in the Star Wars franchise?</th>\n",
       "      <th>Do you consider yourself to be a fan of the Star Wars film franchise?</th>\n",
       "      <th>Which of the following Star Wars films have you seen? Please select all that apply.</th>\n",
       "      <th>Unnamed: 4</th>\n",
       "      <th>Unnamed: 5</th>\n",
       "      <th>Unnamed: 6</th>\n",
       "      <th>Unnamed: 7</th>\n",
       "      <th>Unnamed: 8</th>\n",
       "      <th>Please rank the Star Wars films in order of preference with 1 being your favorite film in the franchise and 6 being your least favorite film.</th>\n",
       "      <th>...</th>\n",
       "      <th>Unnamed: 28</th>\n",
       "      <th>Which character shot first?</th>\n",
       "      <th>Are you familiar with the Expanded Universe?</th>\n",
       "      <th>Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦</th>\n",
       "      <th>Do you consider yourself to be a fan of the Star Trek franchise?</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Household Income</th>\n",
       "      <th>Education</th>\n",
       "      <th>Location (Census Region)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3.292880e+09</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Star Wars: Episode I  The Phantom Menace</td>\n",
       "      <td>Star Wars: Episode II  Attack of the Clones</td>\n",
       "      <td>Star Wars: Episode III  Revenge of the Sith</td>\n",
       "      <td>Star Wars: Episode IV  A New Hope</td>\n",
       "      <td>Star Wars: Episode V The Empire Strikes Back</td>\n",
       "      <td>Star Wars: Episode VI Return of the Jedi</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>Very favorably</td>\n",
       "      <td>I don't understand this question</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>High school degree</td>\n",
       "      <td>South Atlantic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.292880e+09</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>$0 - $24,999</td>\n",
       "      <td>Bachelor degree</td>\n",
       "      <td>West South Central</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.292765e+09</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Star Wars: Episode I  The Phantom Menace</td>\n",
       "      <td>Star Wars: Episode II  Attack of the Clones</td>\n",
       "      <td>Star Wars: Episode III  Revenge of the Sith</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>Unfamiliar (N/A)</td>\n",
       "      <td>I don't understand this question</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>$0 - $24,999</td>\n",
       "      <td>High school degree</td>\n",
       "      <td>West North Central</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.292763e+09</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Star Wars: Episode I  The Phantom Menace</td>\n",
       "      <td>Star Wars: Episode II  Attack of the Clones</td>\n",
       "      <td>Star Wars: Episode III  Revenge of the Sith</td>\n",
       "      <td>Star Wars: Episode IV  A New Hope</td>\n",
       "      <td>Star Wars: Episode V The Empire Strikes Back</td>\n",
       "      <td>Star Wars: Episode VI Return of the Jedi</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>Very favorably</td>\n",
       "      <td>I don't understand this question</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>$100,000 - $149,999</td>\n",
       "      <td>Some college or Associate degree</td>\n",
       "      <td>West North Central</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3.292731e+09</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Star Wars: Episode I  The Phantom Menace</td>\n",
       "      <td>Star Wars: Episode II  Attack of the Clones</td>\n",
       "      <td>Star Wars: Episode III  Revenge of the Sith</td>\n",
       "      <td>Star Wars: Episode IV  A New Hope</td>\n",
       "      <td>Star Wars: Episode V The Empire Strikes Back</td>\n",
       "      <td>Star Wars: Episode VI Return of the Jedi</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>Somewhat favorably</td>\n",
       "      <td>Greedo</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>$100,000 - $149,999</td>\n",
       "      <td>Some college or Associate degree</td>\n",
       "      <td>West North Central</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   RespondentID Have you seen any of the 6 films in the Star Wars franchise?  \\\n",
       "1  3.292880e+09                                                Yes             \n",
       "2  3.292880e+09                                                 No             \n",
       "3  3.292765e+09                                                Yes             \n",
       "4  3.292763e+09                                                Yes             \n",
       "5  3.292731e+09                                                Yes             \n",
       "\n",
       "  Do you consider yourself to be a fan of the Star Wars film franchise?  \\\n",
       "1                                                Yes                      \n",
       "2                                                NaN                      \n",
       "3                                                 No                      \n",
       "4                                                Yes                      \n",
       "5                                                Yes                      \n",
       "\n",
       "  Which of the following Star Wars films have you seen? Please select all that apply.  \\\n",
       "1           Star Wars: Episode I  The Phantom Menace                                    \n",
       "2                                                NaN                                    \n",
       "3           Star Wars: Episode I  The Phantom Menace                                    \n",
       "4           Star Wars: Episode I  The Phantom Menace                                    \n",
       "5           Star Wars: Episode I  The Phantom Menace                                    \n",
       "\n",
       "                                    Unnamed: 4  \\\n",
       "1  Star Wars: Episode II  Attack of the Clones   \n",
       "2                                          NaN   \n",
       "3  Star Wars: Episode II  Attack of the Clones   \n",
       "4  Star Wars: Episode II  Attack of the Clones   \n",
       "5  Star Wars: Episode II  Attack of the Clones   \n",
       "\n",
       "                                    Unnamed: 5  \\\n",
       "1  Star Wars: Episode III  Revenge of the Sith   \n",
       "2                                          NaN   \n",
       "3  Star Wars: Episode III  Revenge of the Sith   \n",
       "4  Star Wars: Episode III  Revenge of the Sith   \n",
       "5  Star Wars: Episode III  Revenge of the Sith   \n",
       "\n",
       "                          Unnamed: 6  \\\n",
       "1  Star Wars: Episode IV  A New Hope   \n",
       "2                                NaN   \n",
       "3                                NaN   \n",
       "4  Star Wars: Episode IV  A New Hope   \n",
       "5  Star Wars: Episode IV  A New Hope   \n",
       "\n",
       "                                     Unnamed: 7  \\\n",
       "1  Star Wars: Episode V The Empire Strikes Back   \n",
       "2                                           NaN   \n",
       "3                                           NaN   \n",
       "4  Star Wars: Episode V The Empire Strikes Back   \n",
       "5  Star Wars: Episode V The Empire Strikes Back   \n",
       "\n",
       "                                 Unnamed: 8  \\\n",
       "1  Star Wars: Episode VI Return of the Jedi   \n",
       "2                                       NaN   \n",
       "3                                       NaN   \n",
       "4  Star Wars: Episode VI Return of the Jedi   \n",
       "5  Star Wars: Episode VI Return of the Jedi   \n",
       "\n",
       "  Please rank the Star Wars films in order of preference with 1 being your favorite film in the franchise and 6 being your least favorite film.  \\\n",
       "1                                                  3                                                                                              \n",
       "2                                                NaN                                                                                              \n",
       "3                                                  1                                                                                              \n",
       "4                                                  5                                                                                              \n",
       "5                                                  5                                                                                              \n",
       "\n",
       "            ...                    Unnamed: 28  \\\n",
       "1           ...                 Very favorably   \n",
       "2           ...                            NaN   \n",
       "3           ...               Unfamiliar (N/A)   \n",
       "4           ...                 Very favorably   \n",
       "5           ...             Somewhat favorably   \n",
       "\n",
       "        Which character shot first?  \\\n",
       "1  I don't understand this question   \n",
       "2                               NaN   \n",
       "3  I don't understand this question   \n",
       "4  I don't understand this question   \n",
       "5                            Greedo   \n",
       "\n",
       "  Are you familiar with the Expanded Universe?  \\\n",
       "1                                          Yes   \n",
       "2                                          NaN   \n",
       "3                                           No   \n",
       "4                                           No   \n",
       "5                                          Yes   \n",
       "\n",
       "  Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦  \\\n",
       "1                                                 No                   \n",
       "2                                                NaN                   \n",
       "3                                                NaN                   \n",
       "4                                                NaN                   \n",
       "5                                                 No                   \n",
       "\n",
       "  Do you consider yourself to be a fan of the Star Trek franchise? Gender  \\\n",
       "1                                                 No                 Male   \n",
       "2                                                Yes                 Male   \n",
       "3                                                 No                 Male   \n",
       "4                                                Yes                 Male   \n",
       "5                                                 No                 Male   \n",
       "\n",
       "     Age     Household Income                         Education  \\\n",
       "1  18-29                  NaN                High school degree   \n",
       "2  18-29         $0 - $24,999                   Bachelor degree   \n",
       "3  18-29         $0 - $24,999                High school degree   \n",
       "4  18-29  $100,000 - $149,999  Some college or Associate degree   \n",
       "5  18-29  $100,000 - $149,999  Some college or Associate degree   \n",
       "\n",
       "  Location (Census Region)  \n",
       "1           South Atlantic  \n",
       "2       West South Central  \n",
       "3       West North Central  \n",
       "4       West North Central  \n",
       "5       West North Central  \n",
       "\n",
       "[5 rows x 38 columns]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "star_wars.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the data, we see that there was only one response out of 1187 with a null value for RespondentID. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cleaning and Mapping Yes/No Columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In examining the next 2 columns\n",
    "\n",
    "1) Have you seen any of the 6 films in the Star Wars franchise?\n",
    "\n",
    "2) Do you consider yourself to be a fan of the Star Wars film franchise?\n",
    "\n",
    "They are represented as \"Yes/No\" questions, which can also have NaN values for non-response. However for the purpose of the analysis, it would be better to turn this into boolean values (i.e. True/False). So we need to convert it. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "yes_no = {\"Yes\": True, \"No\": False}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "star_wars['Have you seen any of the 6 films in the Star Wars franchise?'] = star_wars['Have you seen any of the 6 films in the Star Wars franchise?'].map(yes_no)\n",
    "star_wars['Do you consider yourself to be a fan of the Star Wars film franchise?'] = star_wars['Do you consider yourself to be a fan of the Star Wars film franchise?'].map(yes_no)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
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       "      <th>3</th>\n",
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       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>Star Wars: Episode I  The Phantom Menace</td>\n",
       "      <td>Star Wars: Episode II  Attack of the Clones</td>\n",
       "      <td>Star Wars: Episode III  Revenge of the Sith</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>Unfamiliar (N/A)</td>\n",
       "      <td>I don't understand this question</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>$0 - $24,999</td>\n",
       "      <td>High school degree</td>\n",
       "      <td>West North Central</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   RespondentID  Have you seen any of the 6 films in the Star Wars franchise?  \\\n",
       "1  3.292880e+09                                               True              \n",
       "2  3.292880e+09                                              False              \n",
       "3  3.292765e+09                                               True              \n",
       "\n",
       "  Do you consider yourself to be a fan of the Star Wars film franchise?  \\\n",
       "1                                               True                      \n",
       "2                                                NaN                      \n",
       "3                                              False                      \n",
       "\n",
       "  Which of the following Star Wars films have you seen? Please select all that apply.  \\\n",
       "1           Star Wars: Episode I  The Phantom Menace                                    \n",
       "2                                                NaN                                    \n",
       "3           Star Wars: Episode I  The Phantom Menace                                    \n",
       "\n",
       "                                    Unnamed: 4  \\\n",
       "1  Star Wars: Episode II  Attack of the Clones   \n",
       "2                                          NaN   \n",
       "3  Star Wars: Episode II  Attack of the Clones   \n",
       "\n",
       "                                    Unnamed: 5  \\\n",
       "1  Star Wars: Episode III  Revenge of the Sith   \n",
       "2                                          NaN   \n",
       "3  Star Wars: Episode III  Revenge of the Sith   \n",
       "\n",
       "                          Unnamed: 6  \\\n",
       "1  Star Wars: Episode IV  A New Hope   \n",
       "2                                NaN   \n",
       "3                                NaN   \n",
       "\n",
       "                                     Unnamed: 7  \\\n",
       "1  Star Wars: Episode V The Empire Strikes Back   \n",
       "2                                           NaN   \n",
       "3                                           NaN   \n",
       "\n",
       "                                 Unnamed: 8  \\\n",
       "1  Star Wars: Episode VI Return of the Jedi   \n",
       "2                                       NaN   \n",
       "3                                       NaN   \n",
       "\n",
       "  Please rank the Star Wars films in order of preference with 1 being your favorite film in the franchise and 6 being your least favorite film.  \\\n",
       "1                                                  3                                                                                              \n",
       "2                                                NaN                                                                                              \n",
       "3                                                  1                                                                                              \n",
       "\n",
       "            ...                  Unnamed: 28  \\\n",
       "1           ...               Very favorably   \n",
       "2           ...                          NaN   \n",
       "3           ...             Unfamiliar (N/A)   \n",
       "\n",
       "        Which character shot first?  \\\n",
       "1  I don't understand this question   \n",
       "2                               NaN   \n",
       "3  I don't understand this question   \n",
       "\n",
       "  Are you familiar with the Expanded Universe?  \\\n",
       "1                                          Yes   \n",
       "2                                          NaN   \n",
       "3                                           No   \n",
       "\n",
       "  Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦  \\\n",
       "1                                                 No                   \n",
       "2                                                NaN                   \n",
       "3                                                NaN                   \n",
       "\n",
       "  Do you consider yourself to be a fan of the Star Trek franchise? Gender  \\\n",
       "1                                                 No                 Male   \n",
       "2                                                Yes                 Male   \n",
       "3                                                 No                 Male   \n",
       "\n",
       "     Age Household Income           Education Location (Census Region)  \n",
       "1  18-29              NaN  High school degree           South Atlantic  \n",
       "2  18-29     $0 - $24,999     Bachelor degree       West South Central  \n",
       "3  18-29     $0 - $24,999  High school degree       West North Central  \n",
       "\n",
       "[3 rows x 38 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "star_wars.head(3)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cleaning and Mapping Checkbox Columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The next 6 columns corresponds to the designation of whether the respondent had watched any of the six Star Wars movies. Each of these columns are responded with either the name of the movie or NaN which corresponds to either watched or did not watch. As such, we will use the Boolean to match this. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "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>RespondentID</th>\n",
       "      <th>Have you seen any of the 6 films in the Star Wars franchise?</th>\n",
       "      <th>Do you consider yourself to be a fan of the Star Wars film franchise?</th>\n",
       "      <th>seen_1</th>\n",
       "      <th>seen_2</th>\n",
       "      <th>seen_3</th>\n",
       "      <th>seen_4</th>\n",
       "      <th>seen_5</th>\n",
       "      <th>seen_6</th>\n",
       "      <th>Please rank the Star Wars films in order of preference with 1 being your favorite film in the franchise and 6 being your least favorite film.</th>\n",
       "      <th>...</th>\n",
       "      <th>Unnamed: 28</th>\n",
       "      <th>Which character shot first?</th>\n",
       "      <th>Are you familiar with the Expanded Universe?</th>\n",
       "      <th>Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦</th>\n",
       "      <th>Do you consider yourself to be a fan of the Star Trek franchise?</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Household Income</th>\n",
       "      <th>Education</th>\n",
       "      <th>Location (Census Region)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3.292880e+09</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>Very favorably</td>\n",
       "      <td>I don't understand this question</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>NaN</td>\n",
       "      <td>High school degree</td>\n",
       "      <td>South Atlantic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3.292880e+09</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>$0 - $24,999</td>\n",
       "      <td>Bachelor degree</td>\n",
       "      <td>West South Central</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.292765e+09</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>Unfamiliar (N/A)</td>\n",
       "      <td>I don't understand this question</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>No</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>$0 - $24,999</td>\n",
       "      <td>High school degree</td>\n",
       "      <td>West North Central</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.292763e+09</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>Very favorably</td>\n",
       "      <td>I don't understand this question</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>$100,000 - $149,999</td>\n",
       "      <td>Some college or Associate degree</td>\n",
       "      <td>West North Central</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>3.292731e+09</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>Somewhat favorably</td>\n",
       "      <td>Greedo</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Male</td>\n",
       "      <td>18-29</td>\n",
       "      <td>$100,000 - $149,999</td>\n",
       "      <td>Some college or Associate degree</td>\n",
       "      <td>West North Central</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   RespondentID  Have you seen any of the 6 films in the Star Wars franchise?  \\\n",
       "1  3.292880e+09                                               True              \n",
       "2  3.292880e+09                                              False              \n",
       "3  3.292765e+09                                               True              \n",
       "4  3.292763e+09                                               True              \n",
       "5  3.292731e+09                                               True              \n",
       "\n",
       "  Do you consider yourself to be a fan of the Star Wars film franchise?  \\\n",
       "1                                               True                      \n",
       "2                                                NaN                      \n",
       "3                                              False                      \n",
       "4                                               True                      \n",
       "5                                               True                      \n",
       "\n",
       "   seen_1  seen_2  seen_3  seen_4  seen_5  seen_6  \\\n",
       "1    True    True    True    True    True    True   \n",
       "2   False   False   False   False   False   False   \n",
       "3    True    True    True   False   False   False   \n",
       "4    True    True    True    True    True    True   \n",
       "5    True    True    True    True    True    True   \n",
       "\n",
       "  Please rank the Star Wars films in order of preference with 1 being your favorite film in the franchise and 6 being your least favorite film.  \\\n",
       "1                                                  3                                                                                              \n",
       "2                                                NaN                                                                                              \n",
       "3                                                  1                                                                                              \n",
       "4                                                  5                                                                                              \n",
       "5                                                  5                                                                                              \n",
       "\n",
       "            ...                    Unnamed: 28  \\\n",
       "1           ...                 Very favorably   \n",
       "2           ...                            NaN   \n",
       "3           ...               Unfamiliar (N/A)   \n",
       "4           ...                 Very favorably   \n",
       "5           ...             Somewhat favorably   \n",
       "\n",
       "        Which character shot first?  \\\n",
       "1  I don't understand this question   \n",
       "2                               NaN   \n",
       "3  I don't understand this question   \n",
       "4  I don't understand this question   \n",
       "5                            Greedo   \n",
       "\n",
       "  Are you familiar with the Expanded Universe?  \\\n",
       "1                                          Yes   \n",
       "2                                          NaN   \n",
       "3                                           No   \n",
       "4                                           No   \n",
       "5                                          Yes   \n",
       "\n",
       "  Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦  \\\n",
       "1                                                 No                   \n",
       "2                                                NaN                   \n",
       "3                                                NaN                   \n",
       "4                                                NaN                   \n",
       "5                                                 No                   \n",
       "\n",
       "  Do you consider yourself to be a fan of the Star Trek franchise? Gender  \\\n",
       "1                                                 No                 Male   \n",
       "2                                                Yes                 Male   \n",
       "3                                                 No                 Male   \n",
       "4                                                Yes                 Male   \n",
       "5                                                 No                 Male   \n",
       "\n",
       "     Age     Household Income                         Education  \\\n",
       "1  18-29                  NaN                High school degree   \n",
       "2  18-29         $0 - $24,999                   Bachelor degree   \n",
       "3  18-29         $0 - $24,999                High school degree   \n",
       "4  18-29  $100,000 - $149,999  Some college or Associate degree   \n",
       "5  18-29  $100,000 - $149,999  Some college or Associate degree   \n",
       "\n",
       "  Location (Census Region)  \n",
       "1           South Atlantic  \n",
       "2       West South Central  \n",
       "3       West North Central  \n",
       "4       West North Central  \n",
       "5       West North Central  \n",
       "\n",
       "[5 rows x 38 columns]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_mapping = {\n",
    "    \"Star Wars: Episode I  The Phantom Menace\": True,\n",
    "    np.nan: False,\n",
    "    \"Star Wars: Episode II  Attack of the Clones\": True,\n",
    "    \"Star Wars: Episode III  Revenge of the Sith\": True,\n",
    "    \"Star Wars: Episode IV  A New Hope\": True,\n",
    "    \"Star Wars: Episode V The Empire Strikes Back\": True,\n",
    "    \"Star Wars: Episode VI Return of the Jedi\": True\n",
    "}\n",
    "\n",
    "for c in star_wars.columns[3:9]:\n",
    "    star_wars[c] =  star_wars[c].map(movie_mapping)\n",
    "    \n",
    "movie_rename_column = {\n",
    "    \"Which of the following Star Wars films have you seen? Please select all that apply.\":\"seen_1\",\n",
    "    \"Unnamed: 4\":\"seen_2\",\n",
    "    \"Unnamed: 5\":\"seen_3\",\n",
    "    \"Unnamed: 6\":\"seen_4\",\n",
    "    \"Unnamed: 7\":\"seen_5\",\n",
    "    \"Unnamed: 8\":\"seen_6\"\n",
    "}\n",
    "star_wars = star_wars.rename(movie_rename_column, axis = 1)\n",
    "\n",
    "star_wars.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Cleaning Ranking Columns\n",
    "\n",
    "Since the next 6 columns refer to the order of least - most favorite (i.e. 6 to 1), we also need to remodel these columns so that the values for each column correspond to a float for analysis and rename the name of the columns. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 1186 entries, 1 to 1186\n",
      "Data columns (total 38 columns):\n",
      "RespondentID                                                                                                                                     1186 non-null float64\n",
      "Have you seen any of the 6 films in the Star Wars franchise?                                                                                     1186 non-null bool\n",
      "Do you consider yourself to be a fan of the Star Wars film franchise?                                                                            836 non-null object\n",
      "seen_1                                                                                                                                           1186 non-null bool\n",
      "seen_2                                                                                                                                           1186 non-null bool\n",
      "seen_3                                                                                                                                           1186 non-null bool\n",
      "seen_4                                                                                                                                           1186 non-null bool\n",
      "seen_5                                                                                                                                           1186 non-null bool\n",
      "seen_6                                                                                                                                           1186 non-null bool\n",
      "Please rank the Star Wars films in order of preference with 1 being your favorite film in the franchise and 6 being your least favorite film.    835 non-null float64\n",
      "Unnamed: 10                                                                                                                                      836 non-null float64\n",
      "Unnamed: 11                                                                                                                                      835 non-null float64\n",
      "Unnamed: 12                                                                                                                                      836 non-null float64\n",
      "Unnamed: 13                                                                                                                                      836 non-null float64\n",
      "Unnamed: 14                                                                                                                                      836 non-null float64\n",
      "Please state whether you view the following characters favorably, unfavorably, or are unfamiliar with him/her.                                   829 non-null object\n",
      "Unnamed: 16                                                                                                                                      831 non-null object\n",
      "Unnamed: 17                                                                                                                                      831 non-null object\n",
      "Unnamed: 18                                                                                                                                      823 non-null object\n",
      "Unnamed: 19                                                                                                                                      825 non-null object\n",
      "Unnamed: 20                                                                                                                                      814 non-null object\n",
      "Unnamed: 21                                                                                                                                      826 non-null object\n",
      "Unnamed: 22                                                                                                                                      820 non-null object\n",
      "Unnamed: 23                                                                                                                                      812 non-null object\n",
      "Unnamed: 24                                                                                                                                      827 non-null object\n",
      "Unnamed: 25                                                                                                                                      830 non-null object\n",
      "Unnamed: 26                                                                                                                                      821 non-null object\n",
      "Unnamed: 27                                                                                                                                      814 non-null object\n",
      "Unnamed: 28                                                                                                                                      826 non-null object\n",
      "Which character shot first?                                                                                                                      828 non-null object\n",
      "Are you familiar with the Expanded Universe?                                                                                                     828 non-null object\n",
      "Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦                                                                               213 non-null object\n",
      "Do you consider yourself to be a fan of the Star Trek franchise?                                                                                 1068 non-null object\n",
      "Gender                                                                                                                                           1046 non-null object\n",
      "Age                                                                                                                                              1046 non-null object\n",
      "Household Income                                                                                                                                 858 non-null object\n",
      "Education                                                                                                                                        1036 non-null object\n",
      "Location (Census Region)                                                                                                                         1043 non-null object\n",
      "dtypes: bool(7), float64(7), object(24)\n",
      "memory usage: 304.6+ KB\n"
     ]
    }
   ],
   "source": [
    "star_wars[star_wars.columns[9:15]] = star_wars[star_wars.columns[9:15]].astype(float)\n",
    "star_wars.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['RespondentID',\n",
       "       'Have you seen any of the 6 films in the Star Wars franchise?',\n",
       "       'Do you consider yourself to be a fan of the Star Wars film franchise?',\n",
       "       'seen_1', 'seen_2', 'seen_3', 'seen_4', 'seen_5', 'seen_6',\n",
       "       'Star Wars: Episode I The Phantom Menace',\n",
       "       'Star Wars: Episode II Attack of the Clones',\n",
       "       'Star Wars: Episode III Revenge of the Sith',\n",
       "       'Star Wars: Episode IV A New Hope',\n",
       "       'Star Wars: Episode V The Empire Strikes Back',\n",
       "       'Star Wars: Episode VI Return of the Jedi',\n",
       "       'Please state whether you view the following characters favorably, unfavorably, or are unfamiliar with him/her.',\n",
       "       'Unnamed: 16', 'Unnamed: 17', 'Unnamed: 18', 'Unnamed: 19',\n",
       "       'Unnamed: 20', 'Unnamed: 21', 'Unnamed: 22', 'Unnamed: 23',\n",
       "       'Unnamed: 24', 'Unnamed: 25', 'Unnamed: 26', 'Unnamed: 27',\n",
       "       'Unnamed: 28', 'Which character shot first?',\n",
       "       'Are you familiar with the Expanded Universe?',\n",
       "       'Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦',\n",
       "       'Do you consider yourself to be a fan of the Star Trek franchise?',\n",
       "       'Gender', 'Age', 'Household Income', 'Education',\n",
       "       'Location (Census Region)'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "movie_mapping_column = {\n",
    "    \"Please rank the Star Wars films in order of preference with 1 being your favorite film in the franchise and 6 being your least favorite film.\":\"Star Wars: Episode I The Phantom Menace\",\n",
    "    \"Unnamed: 10\":\"Star Wars: Episode II Attack of the Clones\",\n",
    "    \"Unnamed: 11\":\"Star Wars: Episode III Revenge of the Sith\",\n",
    "    \"Unnamed: 12\":\"Star Wars: Episode IV A New Hope\",\n",
    "    \"Unnamed: 13\":\"Star Wars: Episode V The Empire Strikes Back\",\n",
    "    \"Unnamed: 14\":\"Star Wars: Episode VI Return of the Jedi\"\n",
    "}\n",
    "\n",
    "star_wars = star_wars.rename(movie_mapping_column, axis = 1)\n",
    "\n",
    "star_wars.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Finding the Highest-Ranked Movie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Star Wars: Episode I The Phantom Menace         3.733\n",
       "Star Wars: Episode II Attack of the Clones      4.087\n",
       "Star Wars: Episode III Revenge of the Sith      4.341\n",
       "Star Wars: Episode IV A New Hope                3.273\n",
       "Star Wars: Episode V The Empire Strikes Back    2.513\n",
       "Star Wars: Episode VI Return of the Jedi        3.048\n",
       "dtype: float64"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round(star_wars[star_wars.columns[9:15]].mean(), 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "let_see = pd.DataFrame({'MOVIE': [\"Star Wars: Episode I The Phantom Menace\", \n",
    "                         \"Star Wars: Episode II Attack of the Clones\",\n",
    "                         \"Star Wars: Episode III Revenge of the Sith\",\n",
    "                         \"Star Wars: Episode IV A New Hope\",\n",
    "                         \"Star Wars: Episode V The Empire Strikes Back\",\n",
    "                         \"Star Wars: Episode VI Return of the Jedi\"], \n",
    "                         'RANKING': [3.733, 4.087, 4.341, 3.273, 2.513, 3.048]}).copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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cO3YM8fHxKC8vR0lJCRYvXoyPP/5YfI2ZmRmysrLE7aysLJibm2syFhERPUKjdwYLFixA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\nptXXLmzuzpIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f33aeb60b00>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set_style = 'whitegrid'\n",
    "ax1 = let_see.plot.bar(x = \"MOVIE\", y = \"RANKING\", rot = 90, legend = False)\n",
    "ax1.set_title(\"Ranking of Star Wars Movie\")\n",
    "ax1.set_ylabel(\"Ranking\")\n",
    "ax1.set_axis_bgcolor(\"w\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the data, we see that Star Wars Episode V was the more favorited sequal of the series whilst Star Wars Episode III was the least favorited. In fact looking at the trend, it appears as though the earlier movies were more well-received than the later sequals. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Finding the Most Viewed Movie"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "seen_1    673\n",
       "seen_2    571\n",
       "seen_3    550\n",
       "seen_4    607\n",
       "seen_5    758\n",
       "seen_6    738\n",
       "dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round(star_wars[star_wars.columns[3:9]].sum(), 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "let_seeII = pd.DataFrame({'MOVIE': [\"Star Wars: Episode I The Phantom Menace\", \n",
    "                         \"Star Wars: Episode II Attack of the Clones\",\n",
    "                         \"Star Wars: Episode III Revenge of the Sith\",\n",
    "                         \"Star Wars: Episode IV A New Hope\",\n",
    "                         \"Star Wars: Episode V The Empire Strikes Back\",\n",
    "                         \"Star Wars: Episode VI Return of the Jedi\"], \n",
    "                         'VIEWS': [673, 571, 550, 607, 758, 738]}).copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x7f33af6575c0>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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rioJOp+OHH36olIBCCCEqV5mFYdGiRUycOJGhQ4cSERFRmZmEEEJo6K5nPtvZ\n2bF+/Xrq1atXWXmEEEJozOSspIKCAiZMmICXlxedOnVi4sSJssKqEEJYMZOFYfbs2Tz00ENER0ez\nefNmnJ2dmTVr1j1tpKSkhJCQEEaNGgVAdnY2YWFh9OnTh2HDhpGTk6M+Njw8nN69e+Pv78/Bgwfv\n8ccRQghRUSYLQ2JiIuPGjUOv19O8eXPGjh1LUlLSPW3k888/p3Xr1urtiIgIvL292blzJ15eXoSH\nhwNw/vx5YmNjiYmJYdWqVcydOxdFUe7xRxJCCFERJgtDSUkJmZmZ6u3MzExKSkrKvYHU1FT27dvH\ngAED1LY9e/aolwwNCQlh9+7dAOzdu5eAgABsbGxwcnLC2dlZrh4nhBCV7K6DzwDDhg0jODiY7t27\nA7Bv3z4mTpxY7g0sXLiQyZMnG3UXZWZmYmdnB4C9vb06ZpGWlsbTTz+tPk6v15OWllbubQkhhKg4\nk4UhODiYdu3a8eOPPwIwZMgQHn300XK9+Pfff4+dnR2PP/64+vzS6HS6csYVQghhaSYLA8Cjjz5a\n7mJwq2PHjrF371727dtHQUEBubm5vP3229jZ2ZGRkYGdnR3p6enqdR70ej0pKSnq81NTU9Hr9fe8\nXSGEEH+fRRfRe+utt/j+++/Zs2cPS5YswcvLi8WLF9OjRw82bdoEQFRUFD179gTAz8+PmJgYDAYD\nSUlJJCYm0qFDB0tGFEIIcZtyHTGY24gRIxg/fjyRkZE4OjqybNkyANq0aYO/vz+BgYHY2Ngwe/Zs\n6WYSQohKdtfCUFJSwoEDB+jWrVuFN+Tp6YmnpycAjRo1Yu3ataU+buTIkYwcObLC2xNCCPH33LUr\nqUaNGuq3eSGEEPcHk2MMLi4uci6BEELcR0yOMZw5c4aBAwfi7OxM3bp11faNGzdaNJgQQghtmCwM\nM2bMqIwcQgghqgiTheHmgHFWVpZ6voEQQgjrZXKM4eTJk/To0UNd2+jUqVPMnDnT4sGEEEJow2Rh\nWLRoEatWraJx48YAPPnkkxw7dsziwYQQQmjDZGEoLCykTZs2Rm21atWyWCAhhBDaMlkYbG1tyc3N\nVc9APn/+PLVr17Z4MCGEENowOfg8atQohg0bxuXLl5kyZQoHDhxg8eLFlZFNCCGEBkwWhm7duvHI\nI49w4MABFEVh9OjRODs7V0Y2IYQQGijXInrNmzfHw8MDAEdHR4sGEkIIoS2ThSEuLo6JEyfywAMP\nAFBQUMA8jkgGAAAgAElEQVSSJUtwc3OzeDghhBCVz2RhePfdd1m8eLF6oltcXBxz5swhOjra4uGE\nEEJUvnJdqOdmUQDULiUhhBDWyWRh8PHxMTo62Lp1K76+vhYNJYQQQjtldiV16tQJnU6HoiisWbNG\nXUzPYDDQuHFjJk+eXGkhhRBCVJ4yC0NkZGRl5hBCCFFFlFkYZFqqEELcn8o1XXXJkiUkJiZSXFyM\noijodDp++OEHky9uMBj4xz/+QWFhIYWFhfTs2ZO33nqL7OxsJkyYQHJyMk5OTixbtowGDRoAEB4e\nTmRkJDVr1mT69OkyniGEEJXMZGGYPn0648ePp3379tSoUa5JTCpbW1s+//xz6tSpQ3FxMQMHDuTo\n0aPs3bsXb29vhg8fTkREBOHh4UyaNInz588TGxtLTEwMqampvPrqq+zatUtdp0kIIYTlmfykb9Cg\nAf7+/rRs2RJHR0f1X3nVqVMHuHH0UFJSQsOGDdmzZ496fYeQkBB2794NwN69ewkICMDGxgYnJyec\nnZ3letNCCFHJTBaGwMBAvvnmG65evUp+fr76r7xKSkoIDg7Gx8cHT09P2rRpQ2ZmJnZ2dgDY29uT\nlZUFQFpaGg4ODupz9Xo9aWlp9/ozCSGEqACTXUlNmzZl1qxZvPvuuwDqGMOvv/5arg3UqFGDzZs3\nc+3aNYYNG8aPP/54R9eQdBUJIUTVYbIwLF26lC+++IJ27drd8xjDrerXr0/Xrl05ffo0TZs2JSMj\nAzs7O9LT09VrSev1elJSUtTnpKamotfr//Y2hRBC3DuTn/R6vZ4nn3zybxWFrKwscnJyALh+/TqH\nDx/miSeewM/Pj02bNgEQFRVFz549AfDz8yMmJgaDwUBSUhKJiYl06NDhnrcrhBDi7zN5xNCpUycW\nL15MQECA0ZXbbr/cZ2nS09OZMmUKiqJQUlJCv3798Pb25vHHH2f8+PFERkbi6OjIsmXL1Nf09/cn\nMDAQGxsbZs+eLd1MQghRyUwWhpvrJMXGxqptOp2OPXv2mHzxxx57jKioqDvaGzVqxNq1a0t9zsiR\nIxk5cqTJ1xZCCGEZJgvD3r17KyOHEEKIKsJkYTh//nyp7eXpShJCCFH9mCwMI0aMUP9vMBjIyMig\nRYsWciQhhBBW6p67kn744Qf2799vsUBCCCG0dc9zUL29vTly5IglsgghhKgC7mmMoaSkhFOnTmEw\nGCwaSgghhHbuaYzBxsYGZ2dn/vnPf1o0lBBCCO3IdFUhhBBGyiwMZU1TvUmmqwohhHUqszDc2oV0\nk06nIzc3l+zs7HKvriqEEKJ6KbMw3N6FlJeXx5o1a/j666955ZVXLJ1LCCGERkyOMRQVFfHNN9+w\natUqunXrxqZNm2QpbCGEsGJ3LQybN29mxYoVtG/fnnXr1vHwww9XVi4hhBAaKbMw9O3bl7y8PN58\n803at29PcXGx0YC0DD4LIYR1KrMw5ObmAvDhhx+i0+lQFEW9r7zLbgshhKh+yj34LIQQ4v7w9y/i\nLIQQwipJYRBCCGFECoMQQggjFi0MqampDBkyhMDAQPr27cvnn38OQHZ2NmFhYfTp04dhw4aRk5Oj\nPic8PJzevXvj7+/PwYMHLRlPCCFEKSxaGGrWrMnUqVPZvn073377LV999RUJCQlERETg7e3Nzp07\n8fLyIjw8HLixPlNsbCwxMTGsWrWKuXPnGs2GEkIIYXkWLQz29vY8/vjjANSrV4/WrVuTlpbGnj17\nCAkJASAkJITdu3cDN2ZCBQQEYGNjg5OTE87OzsTHx1syohBCiNtU2hjDxYsXOXv2LE899RSZmZnY\n2dkBN4pHVlYWAGlpaTg4OKjP0ev1pKWlVVZEIYQQVFJhyM3NZezYsUybNo169eqh0+mM7r/9thBC\nCO1YvDAUFRUxduxY+vXrxzPPPANA06ZNycjIACA9PZ0mTZoAN44QUlJS1OempqbKgn1CCFHJLF4Y\npk2bRps2bRg6dKja5ufnx6ZNmwCIioqiZ8+eantMTAwGg4GkpCQSExPp0KGDpSMKIYS4hclltyvi\n6NGjbN26lbZt2xIcHIxOp2PChAkMHz6c8ePHExkZiaOjI8uWLQNuLMzn7+9PYGAgNjY2zJ49W7qZ\nhBCiklm0MLi7u5d5pbe1a9eW2j5y5EhGjhxpwVRCCCHuRs58FkIIYUQKgxBCCCNSGIQQQhiRwiCE\nEMKIFAYhhBBGpDAIIYQwIoVBCCGEESkMQgghjEhhEEIIYUQKgxBCCCNSGIQQQhiRwiCEEMKIFAYh\nhBBGpDAIIYQwIoVBCCGEESkMQgghjEhhEEIIYUQKgxBCCCMWLQzTpk2jc+fO9O3bV23Lzs4mLCyM\nPn36MGzYMHJyctT7wsPD6d27N/7+/hw8eNCS0YQQQpTBooUhNDSU1atXG7VFRETg7e3Nzp078fLy\nIjw8HIDz588TGxtLTEwMq1atYu7cuSiKYsl4QgghSmHRwuDh4cGDDz5o1LZnzx5CQkIACAkJYffu\n3QDs3buXgIAAbGxscHJywtnZmfj4eEvGE0IIUYpKH2PIysrCzs4OAHt7e7KysgBIS0vDwcFBfZxe\nryctLa2y4wkhxH1P88FnnU6ndQQhhBC3qPTC0LRpUzIyMgBIT0+nSZMmwI0jhJSUFPVxqamp6PX6\nyo4nhBD3PYsXhtsHkP38/Ni0aRMAUVFR9OzZU22PiYnBYDCQlJREYmIiHTp0sHQ8IYQQt7Gx5ItP\nnDiRH3/8katXr9K9e3fefPNNRowYwbhx44iMjMTR0ZFly5YB0KZNG/z9/QkMDMTGxobZs2dLN5MQ\nQmjAooXhgw8+KLV97dq1pbaPHDmSkSNHWjCREEIIUzQffBZCCFG1SGEQQghhRAqDEEIII1IYhBBC\nGJHCIIQQwogUBiGEEEakMAghhDAihUEIIYQRKQxCCCGMSGEQQghhRAqDEEIII1IYhBBCGJHCIIQQ\nwogUBiGEEEakMAghhDAihUEIIYQRKQxCCCGMSGEQQghhRAqDEEIII1WyMOzfv59nn32WPn36EBER\noXUcIYS4r1S5wlBSUsK8efNYvXo127ZtY/v27SQkJGgdSwgh7htVrjDEx8fj7OyMo6MjtWrVIjAw\nkD179mgdSwgh7htVrjCkpaXh4OCg3tbr9Vy+fFnDREIIcX+x0TqAVvKyK6/YVOa2bspNz7HKbd2U\nkpdnldu66Wp2mlVuC+BSanalbqt9pW3thpzU5EreVjuzv65OURTF7K9aASdOnOCjjz5i9erVAOrg\n84gRI7SMJYQQ940q15X05JNPkpiYSHJyMgaDge3bt9OzZ0+tYwkhxH2jynUl1axZk5kzZxIWFoai\nKPTv35/WrVtrHUsIIe4bVa4rSQghhLaqXFeSEEIIbUlhEEIIYUQKgxBCCCNSGIQQQhiRwiCEEMKI\nFAYTLly4wNChQwkKCgLg7NmzfPzxxxqnMp/Y2FiuXbsGwMcff8yYMWM4c+aMxqnMZ9euXfTu3Rt3\nd3fc3NxwdXXFzc1N61hmoygKW7ZsYcWKFQBcunSJ+Ph4jVOZx/Lly41uFxcXM3HiRI3SmM+4ceMA\n6Nu3b6n/qgRF3NU//vEP5eTJk0q/fv3UtsDAQA0TmVdQUJCiKIry888/Ky+//LLy3XffKf3799c4\nlfk888wzyvnz57WOYTGzZs1S5syZozz77LOKoijK1atXldDQUI1TmceUKVOUlStXKoqiKAUFBcqo\nUaOUDz/8UONUFZeWlqYoiqJcvHix1H9VgRwxmJCfn0+HDh2M2mrWrKlRGvO7+bPs27ePF154ge7d\nu1NYWKhxKvNp2rSpVZ8gGR8fz+zZs6lduzYADRs2tJr3b+HChfz222+Eh4czatQovLy8ePPNN7WO\nVWHNmjUDwNHRsdR/VUGVO/O5qmncuDGJiYnodDoAduzYgb29vcapzEev1zNr1iwOHTrE8OHDMRgM\nlJSUaB2rwnbt2gVA+/btGT9+PM888wy2trbq/b1799YqmlnZ2NhQXFys/n1mZWVRo0b1/r53a1fm\nkCFDmDVrFm5ubnTs2JEzZ87Qrp35F42rTK6urur7VZpjx45VYprSyZnPJiQlJTFz5kyOHz/Ogw8+\niJOTE4sXL8bJyUnraGaRn5/PgQMHaNu2LQ899BCXL1/mt99+w9fXV+toFTJ16tS73r9o0aJKSmJZ\n0dHRxMTEcObMGUJDQ9mxYwfjx4/H399f62h/2+DBg8u8T6fT8fnnn1diGstZtmwZ9vb29OvXD7jx\nXqanp6tjEFqSwlBOeXl5lJSUUL9+fa2jmF1cXBx//vknzz//PFlZWeTm5tKyZUutY5nF0aNHcXd3\nN9lWnSUkJHDkyBEAOnXqZNVdZ9bkueeeIzo62mSbFqr3MWclWLJkCX/99Rd169alfv36ZGdns3Tp\nUq1jmc2KFSv49NNP1eXNCwsLefvttzVOZT7z588vV1t1dv36dYqLiykpKeH69etaxzGbm/veTda2\n79WtW5fo6Gj1vYuOjqZu3bpaxwKkMJi0f/9+HnzwQfV2w4YN2b9/v4aJzOv//u//+OSTT6hTpw5w\nY8whNzdX41QVd/z4cT777DOysrJYs2aN+u+jjz6iuLhY63hms2LFCqZMmUJ2djZXrlxh6tSpVjOd\n2tr3vffff5/Y2Fg6d+5M586d2bFjB++//77WsQAZfDapuLgYg8GgDlxev34dg8GgcSrzqVWrFjqd\nTh0My9PgamWWUFhYSF5eHsXFxUaFrn79+nz44YcaJjOvrVu3Eh0drc5KGjFiBP369eP111/XOFnF\nWfu+5+TkxCeffKJ1jFJJYTChb9++DB06lNDQUAA2bdpEcHCwxqnMx9/fn1mzZvHXX3+xfv16IiMj\neeGFF7SOVWGenp54enoSEhJSZaYAWkKzZs0oKChQC4PBYECv12ucyjysfd+7cOECc+bMITMzk23b\ntnH27Fn27t1bJYq6DD6Xw759+9TBvc6dO9OlSxeNE5nXoUOHOHjwIAC+vr74+PhonKjiFixYwPTp\n0xk1alSp969cubKSE1nG66+/zqlTp/Dx8UGn03Ho0CE6dOhA8+bNAZgxY4bGCSvGmve9l19+mcmT\nJzNr1iw2b94MQFBQENu2bdM4mRwxlEu3bt3o1q2b1jEsxsfHxyqKwa1uTgEMCwvTOIll9erVi169\neqm3PT09NUxjfta871Xlk2elMJhw4sQJ5s2bx++//05hYSHFxcXUqVOnSpyEYg67du3i/fffJzMz\nE0VRUBQFnU5X7X++9u3bA//7oCwsLOTcuXPo9XqaNm2qZTSzCgkJwWAw8McffwDw8MMPU6tWLW1D\nmYm173tV+uRZ7VbjqB5CQkKUP/74Q+nXr59SVFSkbNy4UXn//fe1jmU21rqW0MyZM5XffvtNURRF\n+euvvxR/f38lKChI8fX1VbZu3apxOvM5cuSI0r17d+Uf//iHMmjQIKVHjx7KTz/9pHUss7D2fS8x\nMVEZOnSo0qFDB8XX11d56aWXlKSkJK1jKYpy4xuiuIuQkBBFUf632JyiKEYL6lV3L774otYRLCIg\nIED9/5o1a5TRo0criqIoly9ftqr3LyQkRElISFBv//777+rfbHVn7fveTbm5uUpOTo7WMYxIV5IJ\nderUwWAw8Pjjj/Ovf/2LZs2aWcVaQjdZ61pCt3anHD58mGeffRag6hyqm0lhYSGPPPKIevvhhx+2\nmkX0rHXfW7NmTZn32dra0rJlS3x9fTVd80pmJZmQnJyMnZ0dhYWFrF27lpycHAYNGoSzs7PW0cyi\nrDWFqvtaQoMHDyYsLAy9Xs+QIUOIjY3F3t6eoqIigoKC2LFjh9YRzWLq1KnUqFGD5557DrhxXkNx\ncXG1f//Aeve9m9fOKE1RURHnz5+nZs2ad1yPojJJYRBW6cKFC8yfP5+MjAyjufAHDhzg0KFDTJky\nReOE5mEwGPjqq684evQoAB4eHgwaNMjo6E9UP3379mXr1q2abV8KgwlHjx5lxYoVXLp0iaKiIrV9\nz549GqYyn9TUVObNm6fO9PDw8GD69OnqPHghKtsff/zBypUradiwIa+++iozZszg6NGjtGzZkvnz\n598xxVOYnxQGE5599lmmTp1K+/btjfr8GjdurGEq83n11VcJCgoyWvp369atd+0HFdozdQlILb9t\nVtTAgQMJDg7m2rVrrF27lmnTpuHn50dcXBzLli1jw4YNWke0ejL4bEKDBg2s9gQbuHFhl+eff169\nHRoayrp16zRMJMrj5pnbiqIwcuRIdXVca5CXl8eLL74IwLfffqteW8LHx4d//etfWka7b0hhMMHL\ny4v33nuP3r17G/XbVverSN3UqFEjtmzZQlBQEADbtm2jUaNGGqcSpty6/pOtra1VrQd165H57dc/\nqe5Xp7tVRkYGS5Ys4fLly3z66aecP3+e48ePM2DAAK2jSVeSKaVdTcqariKVnJzMvHnzOHHiBDqd\nDldXV2bMmEGLFi20jmYWVXnnM5eQkBCioqK0jmE2Tz31FK1atQIgMTFR/T/cuKLiiRMntIpmVq+9\n9hqhoaGsXLmS6OhoioqKCAkJqRLdgHLEYMIXX3yhdQSLcnR0tJoF5UozZcoUdecDeOihh5gwYUK1\nLwy3Xhf5+vXr/PLLL9z6Ha86H9HGxMRoHaFSXLlyhYCAALUb0MbGpsocEUlhMMFav3HOmzfvrhck\nr+6rct5UlXe+ivjnP/+p/t/Ozs7ovIXqfkRrTd1id1O3bl2uXLmi7ocnTpygQYMGGqe6QQqDCdb6\njfPmInPWrirvfBVh7Uey94MpU6YwevRoEhMTeemll7hy5YqmJ7XdSgqDCdb6jTMgIIDc3FyaNGli\n1J6VlUW9evU0SmV+VXnnE/e3du3a8eWXX3LhwgUURalSK+NKYTDBWr9xzp8/ny5dutyxJtLRo0c5\nePAgc+fO1SiZeVXlnU+UX3Z2NikpKbi4uGgdxazi4+NJTk6muLiYX375BaBKXKVOZiWZcObMGebN\nm8e5c+d49NFH1W+c1f0PNDQ0lE2bNpV6X2BgINu3b6/kRJZz7Ngxdee7qSrsfOLuBg8ezCeffEJR\nURGhoaE0bdoUNze3Mtf3qm7efvttkpKScHFxUS/Qo9PpqsT4nhwxmGCt3zjz8/PLvM8aVrC8qayd\nz1oKw6RJk/D09MTd3Z3WrVtrHcescnJyqF+/Phs2bCA4OJixY8eaPOO7Ojl9+jQxMTF3nQSiFSkM\nZdi1a1ep7TevlFXdl6Vu2rQp8fHxd6w7Ex8ff8e4Q3VWlXc+c+jfvz9xcXHMnz+fxMREnnjiCTw8\nPBg6dKjW0SqsuLiYy5cvExsby/jx47WOY3aPPvoo6enpNGvWTOsod5DCUIaxY8fy+OOPl9llVN0L\nw+TJkxk/fjwhISHqnPfTp0+zefNmli5dqnE686nKO585dOrUiY4dO3Lq1Cl+/PFHvv32W86dO2cV\nheH1119n2LBhuLm50aFDB5KSknjooYe0jlVho0aNAiA3N5fAwEA6dOhg1AtRFc4rkjGGMuzevZvt\n27fz559/0rNnT4KCgqr9OvC3y8zM5KuvvuLcuXMAtGnThpdfftkqrol868539uzZKrnzmcPQoUPJ\nz8/n6aefxsPDA3d3d6t4/6zZTz/9dNf7b16nXEtSGEzIy8tjz549xMTEcPXqVSZMmFAl3jhxd9Vh\n5zOHhQsXcubMGWxtbXFzc8PDwwNXV1ceeOABraNV2IULF5gzZw6ZmZls27aNs2fPsnfvXl5//XWt\no5nF4sWLefvtt022aaH6T8i3sNq1a9OgQQPq169PXl4eBQUFWkcS5eDp6Ymnpyf79u1T/39rm7WY\nNm0aX331FR999BGNGjVi2rRpeHh4aB3LLGbOnMnEiROxsbnR4+3i4mJVy2UcPnz4jrb9+/drkORO\nMsZQhh9++IGYmBji4+Pp3LkzQ4YM4cknn9Q6lrhHZe18VeFbmTl8+eWXxMXFcebMGRwdHXn++edx\nd3fXOpZZ5Ofn3zE54ubMsurs66+/5ptvviEpKclollVubi5ubm4aJvsfKQxlePXVV3nsscdwd3fH\nYDCwZcsWtmzZot5fFeYam1N+fj516tTROobZVIedzxwKCgp49dVXadeunfrN2lo0btyYxMREdUbZ\njh07sLe31zhVxfXt25euXbuyZMkSJk6cqLbXq1evyix5L2MMZTC1jHFISEglJbGsY8eOMWPGDPLy\n8vj+++85e/Ys3377LXPmzNE6WoXk5OSQnZ1dpXc+c4mLi+PPP//k+eefJysri9zcXFq2bKl1rApL\nSkpi5syZHD9+nAcffBAnJycWL16Mk5OT1tGsnhSG+9yAAQP48MMPGT16NJs3bwYgKCiIbdu2aZxM\nlMeKFSs4ffo0Fy5cYOfOnaSlpTFu3Di+/fZbraNVmMFgwNbWlry8PEpKSqhfvz5Xr161usJeFcng\ns8DBwcHotjUsEni/+L//+z8++eQTtRtQr9eTm5urcSrzGDNmDEVFRdStW5f69euTnp5OWFiY1rEq\nzGAwaB3BJPkEuM85ODhw7NgxdDodhYWFrF692iqWVqgOO5851KpVC51Op/bD5+XlaZzIfJ555hnG\njRtHcXExFy9eJCwsjLfeekvrWBV283rWVXkChHWNVol7NmfOHBYsWEBaWhpdu3bFx8eHWbNmaR2r\nwl588UWioqJ4++23Wbx4sdZxLMbf359Zs2bx119/sX79eiIjI3nhhRe0jmUWL7zwAoWFhbzxxhsk\nJyczd+5cq5g4UFhYyNatWzl+/HipS+9UhVUVZIzBhKSkJL788kuSk5MpKipS263lzFlrFRQUxMiR\nI1m+fDmTJ0++4/6qsPOZy6FDhzh48CAAvr6++Pj4aJyoYtasWaP+X1EUNm/ezGOPPcYTTzwB3Jgx\nWJ3FxcWxdetWduzYgZ+f3x3333o1Pq1IYTDhueeeo3///rRt29ao791azpzNyspi/fr1dxS+qvDH\nWRHVYecTpVuxYsVd7x8zZkwlJbGsDRs2VNkrQUphMKF///5s3LhR6xgW89JLL+Hu7k67du2MTh7q\n06ePhqnMpyrvfBXh5+dX5oqxOp2O3bt3V3Iica8MBgPffvstcXFxAHTs2JGXXnqpSizrL4XBhC1b\ntpCYmIivry+2trZq+80VSau7fv36GZ24Z22q8s5XEVeuXDG6rSgKsbGxrF69mnbt2vHRRx9plKzi\nFixYwPTp09WFEG9nLd2406dPp6ioSL02SHR0NDVq1GDBggUaJ5PBZ5POnTvHli1b+PHHH9VvaDqd\njs8//1zjZObRvXt39u3bR7du3bSOYhFz586lqKiIgQMHAjd2vpsD7tVZ48aNgRsXVdqyZQurV6/G\nxcWFiIgI2rRpo3G6iunXrx+AVUxNvZtTp04RHR2t3vb29ua5557TMNH/SGEwYefOnezZs8foaMEa\nuLq6otPpUBSF8PBwbG1tsbGxQVEUdDodx44d0zqiWVTlna8iCgsLiYyMZO3atbi7u/Pvf//bapaF\nb9++PcXFxfznP//hgw8+0DqOxdSsWZPExERatWoF3JjoUlXWgpLCYMKjjz5KTk6O1a1xf/z4ca0j\nVIqqvPNVRM+ePbGxsWHIkCG0aNGC//73v/z3v/9V76/us65q1qzJpUuX1LOfrdHkyZMZMmQILVu2\nRFEULl26xMKFC7WOBUhhMCknJwd/f3+efPJJq73Qy7p160y2VVdVeeeriM6dO6PT6e4oCDdV98IA\n0LJlSwYOHIifnx9169ZV26v7dNWbvL292bVrF7///jsAjzzySJUpglIYTHjzzTe1jmARBQUF5OXl\nceXKFbKzs7k5B+HatWukpaVpnM58qvLOVxH//Oc/tY5gca1ataJVq1YoimI1y3zcztbWtszLB2tJ\nCoMJnp6eZGRkcOrUKQA6dOhgFd1K3377LevWrePy5cuEhoaqhaF+/fq8/PLLGqczr6q684m7a926\nNf7+/kZtsbGxGqW5v8h0VRNiYmJYvHgxnp6eKIpCXFwckydP5tlnn9U6mll88cUXDB48WOsYQtwh\nJCTkjuXvS2sT5idHDCasXLmSjRs3qkcJWVlZvPLKK1ZTGKQoWJ/CwsJqfZ7Gvn372L9/P2lpacyf\nP19tv3btmlVMHLhVWloaycnJFBcXq20dO3bUMNENUhhMUBTFqOuoUaNGyEFW9aEoCtHR0SQlJTFm\nzBguXbpERkbGHZeMrO4UReHIkSNs3bqV77//vtRLmlYXer2e9u3bs3fvXqMTSevVq8fUqVM1TGZe\nixcvJjY2ltatWxsVvKpQGKQryYT33nuP3377jcDAQOBG11Lbtm1LXZitOjl69Kh62VJrGIwty+zZ\ns6lRowZHjhwhNjaW7OxswsLCiIyM1DqaWZw4cYJt27axe/dusrOzmTVrFn5+fjRs2FDraBV288in\nsLCQc+fOodfrrWJ876Y+ffqwdevWKrn/yfUYTHjnnXd48cUX1WmBL774YrUvCoB65u/NteGtVXx8\nPLNnz6Z27doANGzYkMLCQo1TVdySJUvo06cPK1as4PHHH2fz5s00btyYkJCQal8UZs2axblz56hV\nqxY5OTn069ePd955h+DgYKu6smDLli2r7N+idCWZsHjxYt5++22jeeE326ozGxsbZs6ceUc/7k0z\nZszQIJX52djYUFxcrC5nkpWVZRVXqNuwYQNPPPEEAwcOpEuXLtja2pa5qF51c/ToUd59910AIiMj\neeihh/j4449JT09n+PDhBAUFaZzQPOrUqUNwcDDe3t5GRw1VYd+TwmBCaX21+/fvr/aFYeXKlfzw\nww8cPHjQahYELM3gwYN54403yMzMZOnSpezYsYPx48drHavCDh48yKFDh9i+fTvz5s3D09OTgoIC\nioqKsLGp3rv1rQPnhw8fVid62NvbaxXJIvz8/EpdEr4qqN5/QRb09ddf880335CUlETfvn3V9tzc\nXObW0B8AACAASURBVKu4ilSTJk0IDAykdevWVj3H/7nnnqNdu3YcOXIERVH4+OOPreLSpTVr1qRr\n16507doVg8HAd999x/Xr1+natSve3t7Veo2hBg0a8N1336HX6zl27Jja7VlUVMT169c1TmcexcXF\nHDx4sMq+TzL4XIacnByys7NZsmQJEydOVNvr1atHo0aNNExmXqmpqcybN09dNM/Dw4Pp06fTvHlz\njZOZx9WrV+9oq1evXrWeznk3165dY/fu3epSztXRhQsXmD9/PhkZGQwdOpTQ0FAADhw4wKFDh5gy\nZYrGCc1j4MCBrFu3rkoOPkthKIfi4mIyMjKM5hq3aNFCw0Tm8+qrrxIUFKQudRwdHc3WrVuNLq9Y\nnfn5+ZGSksKDDz4IwF9//YWdnR12dnbMmzeP9u3ba5xQ3K8mT55MQkJClVwLSrqSTPjyyy/56KOP\nsLOzMxq03Lp1q4apzCczM5Pnn39evR0aGmo1C+jBjcXm+vTpQ5cuXYAbffO7du0iNDSUuXPnsmHD\nBo0TivtVVV4LSgqDCevWrWPHjh3qhVGsTePGjdmyZYs602Pbtm1W1VV28uRJo1lXvr6+vPfee7z7\n7rsYDAYNk1VMdT+7WVTta1dLYTChefPmNGjQQOsYFrNw4ULmzZvHokWL0Ol0uLq6smjRIq1jmY29\nvT0RERFGJyja2dlRXFxcraetdu3aFT8/P4KCgujUqZPVTFW9nwwePLjU960qXB1SxhhMmDZtGhcu\nXKB79+5Gg0RVoR9QmJaVlcW///1vjh49CoCbmxtjxoyhfv36pKSkVNurnl25coWdO3eyfft2/vzz\nT3r37k1QUBBPP/201tHMJiMjgyVLlnD58mU+/fRTzp8/z/HjxxkwYIDW0czi9OnT6v8LCgrYtWsX\nNWvWrBIn0EphMGHFihWltlflw0Bxf0lLS2PHjh3ExMSQmZlJYGAgEyZM0DpWhb322muEhoaycuVK\noqOjKSoqIiQkxGrG90rTv39/Nm7cqHUM6UoyRQpA9XbhwgU+++wzkpOTKSoqUturwuG6uej1evr3\n70/Dhg1Zs2YNGzZssIrCcOXKFQICAoiIiABunMVenbv/bnfrVOqSkhLOnDlDTk6Ohon+RwqDCVlZ\nWaxatYrz589TUFCgtlvLB0tpi+hdvXrVagagx40bx0svvcSAAQOs6kMFbnQ/7N27l+3bt3P8+HG6\ndOnCxIkT8fHx0TqaWdStW5crV66o/fAnTpywqvG+0NBQdDod/6+9O4+Lqt7/B/4aJHIhc0G7PshK\nSyVFWRJw31NAVMBYLLooKFfKhDRDvyZm5M0b2EJW6MMlNG9mCLgwiruGloCNmrsCsiTiArIIDgLn\n9we/OTnpMN7m4Oecz7yfj4ePB3Om8v15aPOe8z6f9+ctCAIsLS3x7LPPis18rFFiMOK9996Dh4cH\nDh48iCVLliAlJQUdOnRgHZZkZs2aha+//lrc4XL9+nXMnDkTycnJjCOThqWlJV5//XXWYUhu7ty5\nOHr0KFxcXDBhwgQsX75cPCiQF/Pnz0d4eDgKCgoQGBiIsrIyfPnll6zDkszOnTsf+DOTzU45gTTJ\nx8dHEARB8PLyEq/5+vqyCkdyP/74o/DWW28JdXV1QmFhoeDl5SX8/PPPrMOSTHx8vPD9998LJSUl\nQllZmfhL6VJSUoTKykrWYTSb+vp64fjx48K9e/eEixcvChcuXBBqa2tZhyUpb2/vR7rGAt0xGKE7\nkKxz5844ePAgOnfujPLycsZRScff3x/37t3D22+/jT/++ANLlizh4iwoHd0YyDVr1ojXVCoV9u3b\nxyokSZSWljbZnKf0XXMWFhb46KOPkJqaih49erAOR1I3btxASUkJ7t69i7Nnz4qDv6qqqlBTU8M4\nukaUGIwIDw9HZWUloqKiEBMTgzt37nAxRer+Iy8EQcDVq1dhZ2eHkydP4uTJk4r/YNHZv38/6xCa\nRXV1NesQmt3AgQORnp6OsWPHctWnkZGRgeTkZFy7dk2vZ8ja2hpz5sxhGNmfaLuqmTK0DVeHl91Y\nNTU1WLduHYqLixETE4MrV64gLy8PI0eOZB0aMcLJyQk1NTWwtLSElZUVBEGASqUSD3xUuvT0dIwb\nN451GA9FicGI0tJSbN68+YHtjjx1B/MsMjISffr0wdatW7Fjxw7U1NQgMDAQW7duZR0aMXM3btzA\n559/LssGPr727zWDt956C5WVlRg4cCBGjBgh/uLFtGnTUFFRIb4uLy9HaGgow4ikVVBQgBkzZojP\nilq1agX6LiRvOTk5AIAzZ8489BcvFixYgCFDhuD69esAgBdeeEE22+DpGYMRNTU1ip/W1pTS0lLx\nSGqgcSbyrVu3GEYkLSsrK9y9e1esURcUFMjy/Hvyp++++w4xMTFYtmzZA++pVCrZfHiaSs4NfJQY\njBgxYgQOHTqE4cOHsw6lWbRo0QJXr14V50v88ccfXD3omzVrFqZPn47i4mLMnTsXGo2GqzIgj+cJ\nxcTEAAA2bNjAOJLmJecGPnrGYICTk5PYlVhTUwMrKytYWlpy9wDs8OHDiI6OhouLCwRBEAex6+YX\n8KCsrAwnT56EIAhwcHDgqkGR5/OEtFot/vvf/+L48eNQqVR45ZVXMGXKFG4a+c6cOYOYmBhcunQJ\nPXr0EBv45DBqlxIDQWlpKU6ePAkA3H1wzpw5E15eXg9MyeLF5MmTsWXLFnh7eyM1NRUAMGnSJC4e\nrkdERKBNmzaYOHEigMZZIRUVFYiPj2ccmXTq6uqQl5cHQRDQrVs32czYoFKSAbdu3UJCQgIKCgrQ\nq1cvhIWFwdramnVYzaJFixbo2LEjtFotcnJykJOTAxcXF9ZhSSIkJARqtRrLly9H37594enpiZEj\nR3LzrVPO5QhTXbp0CWq1Wnw9YMAAeHp6MoxIepaWlmID34kTJ7BixQqsXr2acVR0x2BQaGgo7O3t\n0b9/fxw8eBB37tx56MMwpfvpp5+wfv16XLt2TWxwc3R05OYBn059fT1+/fVXbN68GT///DM3pUA5\nlyNM9d577yEoKEicMXHy5Els3LgRn376KePITJOdnY0lS5agsLAQL730Ej788EN8/fXXKCkpwcyZ\nMzF27FjWIVJiMGTixInYtm2b+NrHx0c8XoEnEyZMQFJSEvz9/bF161bk5OTg888/N9oApyR3797F\n/v37sXPnTpw5cwYjR47EokWLWIclGbmWI0zl4eGBvLw8cWPE1atX0a1bN3HrsVKfo/j6+iIqKgpO\nTk44fPgw5syZg6ioKLzxxhusQxNRKakJ5eXl4p73+vp6vde8HEttZWUlllVqa2vx4osvIi8vj3FU\n0omIiMDvv/+OIUOG4I033oCrq6tstgSaYvfu3Q+9fuXKFQCQxbdOU8mhpNIcBEGAm5sbAGDMmDHo\n0qWLrJICQInBoKqqKvj6+uo1Q/n4+ADg4xA2nX/84x+oqKjAmDFjMG3aNLRt21b8hsaD1157DZ99\n9hlatGjBOhRJHThwAEDjszCNRoMBAwYAAI4dOwYnJycuEoOtrS3Ky8tRXFyM+vp68XqfPn0YRmW6\niooKvcReX1+v91oOf3ZUSiKizMxMVFZWYtiwYdyUI3g/KykkJATLli1D586dATTO01iwYIHeabJK\n9cUXXyAlJQXPPfeceI2HBjdjh3DKoc+G7hjM3Lx58xAbGwsAcHV1feCa0i1YsAB9+vSBRqMB0DgG\nMyIigpvEUFxcLCYFALCxscHVq1cZRiSdnTt3Ys+ePdx1qsvhg98YSgxm7vLly3qv6+vruTqPpqCg\nAF988QXS0tIA8HdW0sCBAxEaGorx48cDANRqNQYNGsQ4Kmn06NEDlZWV6NixI+tQzA4lBjO1cuVK\nJCQkQKvVioN5BEGAlZWVoo9T+Cvez0qKjo7Gnj17kJWVBQAICAjAq6++yjgqaYSFhWHSpEno1auX\nXmkzISGBYVTmgZ4xPILs7Gzk5+dj8uTJKC0txZ07d9C1a1fWYUli+fLlmDt3Luswms2RI0fw7bff\n4vLlyxg8eLB4VpJuVwgPbt68iVOnTkGlUqFfv37cfMP29PREYGAgevbsqbeTTFfyJM2HEoMRK1as\nwOnTp5GXl4f09HSUlJQgIiICmzZtYh2aJIKDg5GYmGj0mpLxfFaSWq1GbGwsXF1dIQgCsrOz8f77\n78Pd3Z11aCbTHffBG0NbjXXksCuJSklG7NmzB6mpqeJW1WeeeQZ37txhHJXptFotqqurUVZWptef\nUVVVhZKSEsbRSat9+/biDI3i4mIsXrwYS5YsYRuURBISEpCUlCTeJZSWlmLq1KlcJIb+/ftj+fLl\nGDVqlF75T+nbVXVbjQ2hxKAATzzxBFQqlVij5mXW7qZNm5CYmIjr16/r9WtYW1sjKCiIcXSmy8nJ\nQWxsrHjswIIFC7B69Wrs378f//znP1mHJxlBEPRKR+3atePm4frZs2cBNJ4hpMPDdtU5c+agU6dO\nrMNoEpWSjFizZg3y8/Nx5MgR/Otf/8KWLVvg5eWFN998k3VoktiwYcMDa7l3757i+xgCAwPh7+8P\nR0dHHD58GN988w1ee+01REREcHOAHgD85z//wcWLF/V2JfXq1Yvr4VJKN3jwYPTo0QPjx4/HuHHj\n9AZlyQUlhkdw5MgRZGRkAACGDBmCwYMHM45IeoIg4Ndff8X27dtx8OBBHD16lHVIJvnr0dOjR4/m\nplv9r3bv3o3jx48DaCy/KH1X0tKlS7Fw4UIAQGJiIoKDg8X35s+fr/jDLOvr63H06FGo1WocOnQI\nDg4O8PLywujRo9GyZUvW4QGgUtIjGTx4MJfJAGi8Td+xYwf27t2L8vJyREdHIyoqinVYJtNqtTh7\n9qxYVrGystJ7rfQ6tU51dTVGjx6NsWPHIjc3F3l5eYq/48vOzhZ/Tk1N1UsMFy5cYBGSpFq0aIGh\nQ4di6NChqK2txeHDh6FWq/Hvf/8bAwYMwPLly1mHSInBmN27dyMuLg63bt2CIAjcTHD77LPPkJ6e\njq5du8LDwwOzZs2Cr6+v+JBd6Tp16qTXYWpjYyO+5qFOrRMUFISNGzeioqIC06dPh729vTh/Qqnu\nL2LwXtCwsrLCSy+9hO7du+PMmTPIzc1lHRIASgxGxcbGIiEhAS+++CLrUCT1008/oXfv3pgyZQqG\nDh0KKysrrmY98z4vWEcQBLRq1QpJSUmYMmUKZsyYgUmTJrEOyyQNDQ0oLy9HQ0OD+PP9pxzzoLi4\nGGlpaUhLS0N1dTW8vLzwzTffyOZzhhKDER07dpTNH5aUMjIycOTIEaSlpSEmJgaurq7QarWoq6sT\nz7sn8icIAjQaDbZv346lS5cCaPxgVbK/nmx8/10sD19eAgMDUVJSAnd3d8TExMDe3p51SA+gh88G\n6JpQMjMzcfPmTYwZM0ZvL7Uc9hpLpba2FgcOHEBaWhqys7MxcOBARZcizElmZibWrl0LZ2dnhIWF\nobCwEImJifjggw9Yh0YMyMrKQv/+/WWd5CgxGKCEo3GbQ1VVFfbu3Qtvb2/WoRBCGKHEYMD333/P\nRaOXuTJ2QqzSdyXptnTOnDnzoe/TQXPEFJQYDOB1xrO5aKoBkYddSadPn4a9vT0yMzMf+j4dNEdM\nQYnBAEoMRClqa2uRm5sLlUqFbt26cXWsOM8nG9+8eROfffYZrl+/jtWrV+Py5cvQaDSyOPaeEoMB\nvXv3fmgXIi99DEo44dEUvK9P5+DBg1i8eDGee+45CIKAoqIiLFmyBMOHD2cdmsl4P9l4+vTp8PX1\nRUJCArZt24a6ujr4+Phg+/btrEOj7aqG9OzZE6mpqazDaDZKOOHRFLyvT2fZsmVYv349nn/+eQCN\ng4jCwsK4SAy8nmysU1ZWBk9PT6xatQoAYGlpqTd3giVKDGaK111VOryvT6dNmzZiUgCArl27ok2b\nNgwjkg6vJxvrtG7dGmVlZeL6Tpw4gaeeeopxVI0oMRjAw3n2TVm3bl2T70+bNu0xRdI8eF+fjr29\nPWbMmAEPDw+oVCrs2rULffv2FUtpSr4z8vDwQHR0NCoqKrB582Zs2bIF/v7+rMOSzPz58xEeHo6C\nggIEBgairKwMX375JeuwAFBiMMjQNkBe8HRL/jC8r0+ntrYWNjY24sznDh06QKvViqU0JSeG0NBQ\nHDlyBG3atEFeXh5mz57N1WGWffr0wffff4+8vDwIgoBu3brJ5vBDevhMCCGPkRI2RtAdAyEKFBER\nIZYdYmNj9QbzhISEYO3ataxCkwyvJxvr7uZu3boFjUaDAQMGAACOHTsGJycnSgxyZi41aqJM+fn5\n4s9/HapUWlr6uMNpFryebKzbGBESEoK0tDR07twZAHD9+nWjR/E8LpQYDDCXGjVRpqYOYJPz4Wz/\nC15PNtYpLi4WkwLQODPk6tWrDCP6EyUGA2bNmsU6hMdCzt2XUuB1fTU1NTh79iwaGhpw9+5dcTqd\nIAi4e/cu6/BMoqvB29vbIzIyktuTjQcOHIjQ0FC9ed2DBg1iHFUjevhs5uTcfSkFXtfX1FlQgLIH\nFZnTycZ79uwRd5S5uLjIZl433TGYOTl3X0qB1/Up+YPfmD59+pjNycZOTk5o0aIFVCoV+vXrxzoc\nkfL/DyEmkXP3pRR4Xx+PtmzZwjqEx0KtVsPPzw/p6enYuXMn/Pz8sGvXLtZhAaA7BqN4rVHryLn7\nUgq8r48oV0JCApKSktCxY0cAjbvJpk6dKotTF+gZgxG81qjvV1dXJ8vuS6nwvj7e8H6ysc6ECRP0\nPkcaGhowadIkWXy20B2DEbzWqA11X165cgWA8nd+8L4+nvF+srHOkCFDHtiVNGzYMMZRNaLEYASv\nNWoldF+agvf13e+vQ6VoyJQyREVFYffu3Th+/DgAICAgQDa7kiCQJp0+fVoICAgQnJ2dhYCAAGHs\n2LHCuXPnWIclmWnTpgklJSXi65KSEiEkJIRhRNLifX08+vbbb1mH8FjcuXNHqKurEwRBEHJycoS9\ne/cKtbW1jKNqRHcMRsj5BEQpyLn7Ugq8r6+6uhotW7aEhYUF8vLykJubi2HDhin67yjvJxvrBAUF\nYePGjaioqMD06dNhb28PtVqN5cuXsw6NSkmGmEuNWs7dl1LgfX33f7iEhobK6sOFNE0QBLRq1QpJ\nSUmYMmUKZsyYgUmTJrEOCwAlBoPMpUYdHR2t130pqzqnBHhfn5w/XP6uGzduoFOnTqzDaHaCIECj\n0WD79u1YunQpgMadSXJAicEAJZyAKBW5dl9Khef1yfnD5e/y9vZGjx49MH78eIwbNw5t27ZlHVKz\n+L//+z+sXLkSY8aMQY8ePVBYWAg3NzfWYQGgPgajPDw8sHPnTvF1Q0MDxo8fr3dNydRqNWJjY+Hq\n6gpBEJCdnY33339fFk02UuB9fVlZWVizZg2cnZ0RFhaGwsJCJCYm4oMPPmAd2t9WX1+Po0ePQq1W\n49ChQ3BwcICXlxdGjx790P4GIj1KDEZ89NFHyM/P16tRP//881i0aBHjyKQxceJErFu37oHuy23b\ntjGOTBo8r6++vh5xcXGIiopiHUqzqa2txeHDh6FWq3Hs2DEMGDBA8c9Pli5dioULFxp8yJ6QkPCY\nI3oQlZKMMIcate5DEwDatWsHnr4r8Ly+Fi1aiHvgeWVlZYWXXnoJ3bt3x5kzZ5Cbm8s6JJPpngGF\nhIQwjsQwSgyPgOcatZy7L6XA+/pefvllzJw5E+7u7mjdurV4XembI4qLi5GWloa0tDRUV1fDy8sL\n33zzDReDe+zt7QEArq6uqK2tRW5uLlQqFbp166Y3d4IlKiUZwXuNGoBe92X//v25uiMC+F6foY0Q\nSp5ZEBgYiJKSEri7u2P8+PHiBylvDh48iMWLF+O5556DIAgoKirCkiVLMHz4cNahUeezMRMmTBBu\n3rwpvr5165YwYcIEhhFJS87dl1LgfX08yszMFBoaGliH0ezGjRsnXLlyRXydn58vjBs3jmFEf6JS\nkhECxzVqQN7dl1LgfX1arRZJSUm4dOkStFqteF3JdwwuLi6sQ3gs2rRpg+eff1583bVrV7Rp04Zh\nRH9S/jGhzUxXo05OTkZycjLCwsK4qlEL/79Bavfu3ZgyZQri4+Nx+fJl1mFJhvf1zZs3Dzdu3EBG\nRgZcXV1RUlIimw8X0jR7e3vMmDEDycnJSElJwcyZM9G3b1/s3r3b4MkLjwslBiOioqIQEBCACxcu\n4MKFCwgICMC8efNYhyUZ4b4GqREjRgBQfoPU/XhfX0FBASIjI9GqVSv4+Phg5cqVOHXqFOuwyCOo\nra2FjY0NsrKykJmZiQ4dOkCr1eLAgQPiyQusUCnJiOrqaowePRpjx45Fbm4u8vLycO/ePUUfUnY/\nOXdfSoH39VlaNv4v3LZtW1y8eBE2Nja4desW46ikwfv0RFmX+1g+4FACHx8fobq6Wrh27ZowcuRI\n4Z133hHmzJnDOixCBEEQhM2bNwu3b98WMjMzhVGjRgkDBgwQfvjhB9ZhSSI0NFRIS0sTN3vcu3dP\n8PLyYhyV6WbPni3+/Omnn+q9N23atMcdzkPRHYMRAoeHlAHK6L40Be/r09F9e3ZxccG+ffsYRyMt\nXqcn5ufniz8fPXpU773S0tLHHc5DUWIwQuDwkDJAGd2XpuB9fW5ubujXrx+cnZ3h5OQEBwcHtGrV\ninVYkuJ1eqJuPf/re48TJQYjeK1RK6H70hS8r2/fvn04ceIENBoNVq1ahTNnzsDW1hbOzs5wdnaG\np6cn6xBNNn/+fISHh6OgoACBgYEoKyvDl19+yTosk9XU1ODs2bNoaGjA3bt3cfbsWQiCAEEQcPfu\nXdbhAaDOZ7Mn6+5LCfC+Pp3q6mokJycjMTERRUVFOHfuHOuQJFFXV8fd9MQ333yzyfc3bNjwmCIx\njBKDAeZSo3Z3d8fKlSvFRpuCggKEhYVh165djCOTBq/rKykpgUajgUajwe+//w6gcQyto6MjHB0d\nYWtryzjCv8/YHn6lnwOlBFRKMoD3GrWOnLsvpcDr+oYPH47evXtj6tSpmDt3LhflMR1zmZ4oZ3TH\n8Ah4rFHrLF68GFevXoWHhwdUKhV27dqFLl26iHORlf4/Ia/r02g04jOGoqIi2NraincLffv25eLv\naEhICJYtW/bA9MQ1a9Ywjox/lBiM4L1GbWxMqaybcB4B7+vTKSoqwoEDB7B+/Xpcu3ZNLC8pGe/T\nE+WMEoMRvNaoifLl5OSIzxl+++03VFZWwsHBAc7OzggNDWUdnsl4n54oZ8rvFmlmvNaoIyIixJ9j\nY2P13uPhuQrv63Nzc0NkZCROnToFFxcXJCQkICMjA19//TUXSQFonJ4YGBiI8+fP4/z58wgICOAu\nKfj4+DT5mhV6+GyE7gTE+2vUuhMQAeXWqJXQfWkK3te3d+9eLpq9jOF5eiIApKSkNPmaFbpjMELO\nJyCaQgndl6bgfX3mkBTUajX8/PyQnp6OnTt3ws/Pj6sSbnV1tXiKQl5eHvbt24d79+4xjqoR3TEY\nwcvDyb9SQvelKXhfnzlISEhAUlKSOCirtLQUU6dO5Was7v1DpEJDQ2U1RIoSgwERERFi+31sbKze\nDIaQkBCsXbuWVWiS6NSpk5j0bGxs9BKgjY0Nq7Akw/v6gMZdOrt27eLi+IuHETifnijnAzopMRjA\ne41aDm33zYn39QGAhYUFVq9ezW1i0E1PvH9XEm/TE+V6QCclBgN4r1ETPgwaNAhr1qyBp6en3umq\n7dq1YxiVNKKiorB7924cP34cABAQEIBXX32VcVTSWbhwoWwP6KTEYADVqIkSqNVqAMDGjRvFayqV\niovZDDxPT6yvr8f+/fv1zlzr2rUrPvjgA4ZR/Yka3AxQwgmIhPDM19dXfDg7ZcoU2Nvb44knnpDF\nw1kp+Pv7Y/PmzazDeCi6YzCAPviJUly8eBGXL19GbW2teM3b25thRNKQ88NZKbz88suYOXMm3N3d\n0bp1a/G6HHqjqI+ByLb7Uio8r2/FihWIiYnBxx9/jGPHjiE2Nhb79+9nHZYk7n84O2LECADyeTgr\nhdraWrRv3x7Hjh0T+6Lk0htFpSRCFGzChAnYunUrvL29sW3bNty8eRPz5s3DunXrWIdmsszMTKxd\nuxbOzs4ICwtDYWEhEhMTZVOH5xmVksxcdXU1WrZsCQsLC+Tl5SE3NxfDhg3j4gEfwP/6nnzySVhY\nWMDS0hJVVVXo2LEjiouLWYclCVdXV7i6uoqv5fRwVgparRZJSUm4dOkStFqteF0OTbWUGMycnLsv\npcD7+uzt7VFRUQE/Pz/4+vqidevWcHJyYh2WScxleuK8efPQvXt3ZGRk4O2338b27dvRvXt31mEB\noMTwSHx8fPQOt/rrayXj/QEf7+v78MMPAQBTpkzB0KFDUVVVBTs7O7ZBmchcpicWFBQgPj4e+/bt\ng4+PD7y8vPDGG2+wDgsAPXx+JHI9AVEKvD/g4319wcHB4s/PPvss7Ozs9K4pkb29PYDGUpKjoyPa\ntm2Lp59+Go6OjnqlJaWztGz8Xt62bVtcvHgRlZWVuHXrFuOoGtEdgxG816jl3H0pBV7Xp9VqUVNT\ng7KyMpSXl4tnCFVVVaGkpIRxdNLgfXpiQEAAysvLERkZifDwcFRXV+vNEWGJdiUZwXOTTX19PeLi\n4hAVFcU6lGbB8/oSExORmJiI69ev45lnnhETg7W1Nfz9/REUFMQ4QtPR9ER26I7BCJ5r1C1atBDP\noeERz+sLDg5GcHAwNmzYYLRLX6l4nZ7o5uaGfv36wdnZGU5OTnBwcNA750oOKDEYIecTEKUg5+5L\nKfC6vlOnTqFLly5iUkhNTUV6ejpsbW0xa9YsLg7R43V64r59+3DixAloNBqsWrUKZ86cga2tLZyd\nneHs7CyL03KplGREVlYW1qxZw22TzYIFCx56XQ57qaXA6/p8fHywbt06tGvXDllZWXj33Xexmdiu\n1QAAC8BJREFUaNEinDt3Drm5uYiPj2cdoskM/dnpKP3PUKe6uhrJyclITExEUVERzp07xzokSgxN\n4blGTZRt4sSJ2LZtGwBgyZIl6NChA9555x0Ajds9t27dyjI80oSSkhJoNBpoNBr8/vvvAIA+ffrA\n0dERjo6OsLW1ZRwhlZKaxHONWkfO3ZdS4HV9DQ0NqKurg6WlJX755RfExMSI79XX1zOMzHS8T08c\nPnw4evfujalTp2Lu3LmwsrJiHdIDKDEYwWuNWkfO3ZdS4HV948ePR1BQENq3b4+WLVuif//+ABon\nD1pbWzOOzjS8T0/84YcfcOLECezduxffffcdbG1txbuFvn37yiJRUGIw4v4TEO/HS2KQc/elFHhd\nX3h4OAYOHIgbN25g8ODB4lTBhoYGLFq0iHF0puF9eqKTkxOcnJwwbdo0AEBRUREOHDiA+fPn49q1\na2J5iSVKDEYoveRgzF+7L21sbGTTfSkFntfn6Oj4wLVu3boxiERa5jA9MScnR3zO8Ntvv6GyshIO\nDg4IDAxkHRoAevhsFK81ap2ffvoJY8eOxcWLFzF//nyx+1Iuf0FNxfv6eMT79EQ3Nzd07twZTk5O\nYi/D/f0ackCJwYjZs2eje/fu2LFjh16NmpftqoSQx6uyshJPPfUU6zCaRKUkI3itUSuh+9IUvK+P\nKJfckwJAicEoXmvUSui+NAXv6yOkOVEpyQhzqVHLsftSSryvjyhLQ0MDdu3aJdsvKJQYzJQSui9N\nwfv6iPL5+voiOTmZdRgPRYnBAN5r1HZ2dmL3pbu7uyyaaqTE+/rMBc/TE+Pi4tC+fXt4enrqfbbI\n4QBESgwGVFVViTVqjUbDXY1ao9GI6ysqKpJl96UpeF8fUb5Ro0Y9cE2lUmHfvn0MovlLHJQYHg3v\nNWpd9+X69etl030pJd7XxyPepyfKGSUGA8yhRm2o+9LZ2RmhoaGswzMZ7+vjHc/TE3UuXryIy5cv\no7a2Vrzm7e3NMKJGtF3VACWcgGiK+7svXVxcEBYWJrvuS1Pwvj5zwPP0RABYsWIFjh07hpycHAwf\nPhyHDx/GK6+8QolBzpRwAqIp9u7dq4hGm7+L9/WZA96nJ6anp2Pr1q3w9vbGJ598gps3b+odMc4S\nJQYDlHACoil4/9DkfX3mYOHChVi5ciXGjBmDHj16oLCwEG5ubqzDksyTTz4JCwsLWFpaoqqqCh07\ndkRxcTHrsABQYmiS3E9AJIRX9fX12L9/PxISEsRrXbt25eqMMnt7e1RUVMDPzw++vr5o3bo1nJyc\nWIcFgB4+G6SEExBNJffuS1Pxvj7e+fv7Y/PmzazDeCyKiopQVVUFOzs71qEAoMRgkBJOQJSCnLsv\npcD7+ni2ePFilJSUcDs9MTg4GImJiUavsUClJAPMISkAwKBBg7BmzRpZdl9Kgff18YzX6YlarRY1\nNTUoKytDeXk5dN/Nq6qqUFJSwji6RnTHYObk3H0pBd7XR5QnMTERiYmJuH79Op555hkxMVhbW8Pf\n3x9BQUGMI6TE0CSqURPCDu/TEzds2GB0Wh0rVEpqgoWFBVavXs19YpBr96VUeF8fr+bNm4fu3bsj\nIyNDb3qi0p06dQpdunQRk0JqairS09Nha2uLWbNmyaLMacE6ALnT1aiLi4tx+/Zt8RcvVqxYgZiY\nGHz88cc4duwYYmNjsX//ftZhSYb39fGsoKAAkZGRaNWqFXx8fLBy5UqcOnWKdVgmW7x4sXjeU1ZW\nFuLi4uDt7Q1ra2tER0czjq4R3TEYoVarAQAbN24Ur/FUo5Zz96UUeF8fz3idnlhfXy/eFajVagQE\nBGDcuHEYN26cbI78oMRgBO/fLuXcfSkF3tfHs4CAAJSXlyMyMhLh4eHi9ESla2hoQF1dHSwtLfHL\nL78gJiZGfK++vp5hZH+ixPAIeK5Ry7n7Ugq8r49nfn5+AAAXFxdu7tABYPz48QgKCkL79u3RsmVL\n9O/fHwCQn58Pa2trxtE1ol1JRhg6ATE+Pp51aJKTW/el1HhfHy94n54IACdOnMCNGzcwePBgsXkv\nLy8P1dXV6NOnD+PoKDEYNWHCBLFGvW3bNrFGvW7dOtahSULO3ZdS4H19POJ9eqISUCnJCF5r1Ero\nvjQF7+vjmbW1NYYMGYIhQ4YA0J+euHHjRkoMjwElBiN4rVFv2rRJ7L709fXV676UQ+elqXhfH88M\nTU+MjIyEo6Mj4+jMA5WS/gc81qjl3H0pBd7XxyM7OztxeqK7u7vih2IpESUGI3itUeu6Lzt16gRA\nnt2XpuB9fTzTaDTiM4aioiLupicqAXU+G6DVanH79m2xRq3reC4qKuKiRq2E7ktT8L4+nukmJ8bH\nxyM5ORlRUVGwsrLC/Pnz8corr7AOzyzQMwYDeK9RK6H70hS8r493ND2RLUoMBgQHByM4OJjbGrUS\nui9Nwfv6eHb/9EQXFxeEhYVxNz1R7igxGKCEExBNoYTuS1Pwvj6e7d2712wGZckVPXw2wMfHB+vW\nrUO7du2QlZWFd999F4sWLcK5c+eQm5vLReez3LsvTcX7+ghpLnTHYIA51Kgftie8W7duDCJpHryv\nj5DmQruSDNDVqAHgl19+wYABA8T3qEZNSPNqaGgQj7wnjx/dMRhANWpC2DGX6YlyRc8YmkA1akLY\niYuLQ/v27eHp6al3uqrSN34oASUGQogsjRo16oFrPE1PlDNKDIQQQvTQMwZCiGzxPD1RzigxEEJk\nydD0REoMzY+2qxJCZCk9PR2JiYmwsbHBJ598gq1bt6KyspJ1WGaBEgMhRJZ4nZ6oBFRKIoTIEq/T\nE5WAdiURQmSPx+mJckalJEKILAUHB4s/P/vss7Czs9O7RpoPlZIIIbKi1WpRU1MjTk/UFTWqqqq4\nmJ6oBJQYCCGywvv0RCWgZwyEEFnidXqiElBiIITIim56YqdOnQDwNz1RCejhMyFEVhYvXownnngC\nAJCVlYW4uDh4e3vD2toa0dHRjKMzD5QYCCGyYmh6YmRkJPLz8xlHZx4oMRBCZIWmJ7JHu5IIIbJC\n0xPZo4fPhBDZoemJbFFiIIQQooeeMRBCCNFDiYEQQogeSgyEEEL0UGIgxIBRo0Zh6NChuP8xXHJy\nMuzs7LBx40YAQHZ2Nl5//XW4u7vj1VdfxcKFC8UpYx9++CGWL1/+wH/3zTffRGpqKjIzMzF58mTx\nup2dHSZNmgQfHx94e3vDx8dH3LZJyONEiYGQJnTu3Bk///yz+DolJUXcFVNQUIB33nkHc+bMwa5d\nu7Bnzx5YW1tj9uzZAIDJkydj27ZteomlsLAQ58+fh4eHBwBApVKJ76lUKvz4449ISUlBamoqUlJS\nYGlJO8rJ40eJgZAm+Pr6Ijk5GUDjh3pNTQ169uwJAEhISICfn5+4zx4A5s2bh7y8PBw/fhx9+/bF\n008/jYyMDPH9lJQUeHh44Mknn3zg9xIEAbRJkMgBJQZCDFCpVHB1dcWlS5dQWVmJ1NRU+Pj4iO9f\nuHABDg4Oev+OpaUlevfujfPnzwNoTCxbtmwB0PjBn5qaitdee83g7xkYGCiWkt56661mWBUhxtF9\nKiEGCIIAlUoFDw8P7NixA2q1Gps2bcLp06cf+b8xceJEfPXVV6ioqMDp06fRunVr9OvXz+A//+OP\nP6Jly5ZShE/I30Z3DIQYMWnSJMTHx6Nnz554+umnxet2dnY4ceKE3j9bV1eHs2fPolevXgCADh06\nYPDgwdi+fTuSk5Ph6+tr8PdRqVRUSiKyQImBECO6du2KOXPmIDw8XO/6jBkzkJSUhOzsbACNh799\n+umneOGFF/SeO0yePBk//PADDh06BG9vb4O/DyUFIhdUSiLEgPt3DPn5+T3w/gsvvICvvvoKcXFx\nuH37Nurq6uDi4oL4+Hi9f27o0KGIjo6Gm5sbOnTo0OTvFxgYCAsLC7GMtWrVKnFgDSGPC52VRAgh\nRA+VkgghhOihxEAIIUQPJQZCCCF6KDEQQgjRQ4mBEEKIHkoMhBBC9FBiIIQQouf/Abr7WRRGZjc9\nAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f33af701c18>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax2 = let_seeII.plot.bar(x = \"MOVIE\", y = \"VIEWS\", legend = False)\n",
    "ax2.set_axis_bgcolor(\"w\")\n",
    "ax2.set_ylabel(\"Number of Views\")\n",
    "ax2.set_title(\"Number of Views for Star Wars Movie\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the distribution of the views, it appears that the earlier movies were more viewed than the newer ones. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exploring the Data by Binary Segments"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True     552\n",
       "NaN      350\n",
       "False    284\n",
       "Name: Do you consider yourself to be a fan of the Star Wars film franchise?, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "star_wars['Do you consider yourself to be a fan of the Star Wars film franchise?'].value_counts(dropna = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No     641\n",
       "Yes    427\n",
       "NaN    118\n",
       "Name: Do you consider yourself to be a fan of the Star Trek franchise?, dtype: int64"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "star_wars['Do you consider yourself to be a fan of the Star Trek franchise?'].value_counts(dropna= False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Female    549\n",
       "Male      497\n",
       "NaN       140\n",
       "Name: Gender, dtype: int64"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "star_wars['Gender'].value_counts(dropna= False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## (A) Gender"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "star_wars_males = star_wars[star_wars['Gender'] == 'Male']\n",
    "star_wars_females = star_wars[star_wars['Gender'] == 'Female']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "star_wars_nonbin = star_wars[star_wars['Gender'].isnull()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "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>RespondentID</th>\n",
       "      <th>Have you seen any of the 6 films in the Star Wars franchise?</th>\n",
       "      <th>Do you consider yourself to be a fan of the Star Wars film franchise?</th>\n",
       "      <th>seen_1</th>\n",
       "      <th>seen_2</th>\n",
       "      <th>seen_3</th>\n",
       "      <th>seen_4</th>\n",
       "      <th>seen_5</th>\n",
       "      <th>seen_6</th>\n",
       "      <th>Star Wars: Episode I The Phantom Menace</th>\n",
       "      <th>...</th>\n",
       "      <th>Unnamed: 28</th>\n",
       "      <th>Which character shot first?</th>\n",
       "      <th>Are you familiar with the Expanded Universe?</th>\n",
       "      <th>Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦</th>\n",
       "      <th>Do you consider yourself to be a fan of the Star Trek franchise?</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Household Income</th>\n",
       "      <th>Education</th>\n",
       "      <th>Location (Census Region)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>4.970000e+02</td>\n",
       "      <td>497</td>\n",
       "      <td>423</td>\n",
       "      <td>497</td>\n",
       "      <td>497</td>\n",
       "      <td>497</td>\n",
       "      <td>497</td>\n",
       "      <td>497</td>\n",
       "      <td>497</td>\n",
       "      <td>423.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>416</td>\n",
       "      <td>423</td>\n",
       "      <td>423</td>\n",
       "      <td>144</td>\n",
       "      <td>497</td>\n",
       "      <td>497</td>\n",
       "      <td>497</td>\n",
       "      <td>415</td>\n",
       "      <td>491</td>\n",
       "      <td>494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Very favorably</td>\n",
       "      <td>Han</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Male</td>\n",
       "      <td>45-60</td>\n",
       "      <td>$50,000 - $99,999</td>\n",
       "      <td>Some college or Associate degree</td>\n",
       "      <td>East North Central</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>NaN</td>\n",
       "      <td>423</td>\n",
       "      <td>303</td>\n",
       "      <td>361</td>\n",
       "      <td>323</td>\n",
       "      <td>317</td>\n",
       "      <td>342</td>\n",
       "      <td>392</td>\n",
       "      <td>387</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>286</td>\n",
       "      <td>200</td>\n",
       "      <td>279</td>\n",
       "      <td>77</td>\n",
       "      <td>261</td>\n",
       "      <td>497</td>\n",
       "      <td>140</td>\n",
       "      <td>137</td>\n",
       "      <td>151</td>\n",
       "      <td>85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.290478e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.037825</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.113424e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.677418</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.288396e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.289745e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.290545e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.291028e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3.292880e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        RespondentID  \\\n",
       "count   4.970000e+02   \n",
       "unique           NaN   \n",
       "top              NaN   \n",
       "freq             NaN   \n",
       "mean    3.290478e+09   \n",
       "std     1.113424e+06   \n",
       "min     3.288396e+09   \n",
       "25%     3.289745e+09   \n",
       "50%     3.290545e+09   \n",
       "75%     3.291028e+09   \n",
       "max     3.292880e+09   \n",
       "\n",
       "       Have you seen any of the 6 films in the Star Wars franchise?  \\\n",
       "count                                                 497             \n",
       "unique                                                  2             \n",
       "top                                                  True             \n",
       "freq                                                  423             \n",
       "mean                                                  NaN             \n",
       "std                                                   NaN             \n",
       "min                                                   NaN             \n",
       "25%                                                   NaN             \n",
       "50%                                                   NaN             \n",
       "75%                                                   NaN             \n",
       "max                                                   NaN             \n",
       "\n",
       "       Do you consider yourself to be a fan of the Star Wars film franchise?  \\\n",
       "count                                                 423                      \n",
       "unique                                                  2                      \n",
       "top                                                  True                      \n",
       "freq                                                  303                      \n",
       "mean                                                  NaN                      \n",
       "std                                                   NaN                      \n",
       "min                                                   NaN                      \n",
       "25%                                                   NaN                      \n",
       "50%                                                   NaN                      \n",
       "75%                                                   NaN                      \n",
       "max                                                   NaN                      \n",
       "\n",
       "       seen_1 seen_2 seen_3 seen_4 seen_5 seen_6  \\\n",
       "count     497    497    497    497    497    497   \n",
       "unique      2      2      2      2      2      2   \n",
       "top      True   True   True   True   True   True   \n",
       "freq      361    323    317    342    392    387   \n",
       "mean      NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "std       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "min       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "25%       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "50%       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "75%       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "max       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "\n",
       "        Star Wars: Episode I The Phantom Menace           ...             \\\n",
       "count                                423.000000           ...              \n",
       "unique                                      NaN           ...              \n",
       "top                                         NaN           ...              \n",
       "freq                                        NaN           ...              \n",
       "mean                                   4.037825           ...              \n",
       "std                                    1.677418           ...              \n",
       "min                                    1.000000           ...              \n",
       "25%                                    3.000000           ...              \n",
       "50%                                    4.000000           ...              \n",
       "75%                                    6.000000           ...              \n",
       "max                                    6.000000           ...              \n",
       "\n",
       "           Unnamed: 28  Which character shot first?  \\\n",
       "count              416                          423   \n",
       "unique               6                            3   \n",
       "top     Very favorably                          Han   \n",
       "freq               286                          200   \n",
       "mean               NaN                          NaN   \n",
       "std                NaN                          NaN   \n",
       "min                NaN                          NaN   \n",
       "25%                NaN                          NaN   \n",
       "50%                NaN                          NaN   \n",
       "75%                NaN                          NaN   \n",
       "max                NaN                          NaN   \n",
       "\n",
       "        Are you familiar with the Expanded Universe?  \\\n",
       "count                                            423   \n",
       "unique                                             2   \n",
       "top                                               No   \n",
       "freq                                             279   \n",
       "mean                                             NaN   \n",
       "std                                              NaN   \n",
       "min                                              NaN   \n",
       "25%                                              NaN   \n",
       "50%                                              NaN   \n",
       "75%                                              NaN   \n",
       "max                                              NaN   \n",
       "\n",
       "        Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦  \\\n",
       "count                                                 144                    \n",
       "unique                                                  2                    \n",
       "top                                                    No                    \n",
       "freq                                                   77                    \n",
       "mean                                                  NaN                    \n",
       "std                                                   NaN                    \n",
       "min                                                   NaN                    \n",
       "25%                                                   NaN                    \n",
       "50%                                                   NaN                    \n",
       "75%                                                   NaN                    \n",
       "max                                                   NaN                    \n",
       "\n",
       "        Do you consider yourself to be a fan of the Star Trek franchise?  \\\n",
       "count                                                 497                  \n",
       "unique                                                  2                  \n",
       "top                                                    No                  \n",
       "freq                                                  261                  \n",
       "mean                                                  NaN                  \n",
       "std                                                   NaN                  \n",
       "min                                                   NaN                  \n",
       "25%                                                   NaN                  \n",
       "50%                                                   NaN                  \n",
       "75%                                                   NaN                  \n",
       "max                                                   NaN                  \n",
       "\n",
       "       Gender    Age   Household Income                         Education  \\\n",
       "count     497    497                415                               491   \n",
       "unique      1      4                  5                                 5   \n",
       "top      Male  45-60  $50,000 - $99,999  Some college or Associate degree   \n",
       "freq      497    140                137                               151   \n",
       "mean      NaN    NaN                NaN                               NaN   \n",
       "std       NaN    NaN                NaN                               NaN   \n",
       "min       NaN    NaN                NaN                               NaN   \n",
       "25%       NaN    NaN                NaN                               NaN   \n",
       "50%       NaN    NaN                NaN                               NaN   \n",
       "75%       NaN    NaN                NaN                               NaN   \n",
       "max       NaN    NaN                NaN                               NaN   \n",
       "\n",
       "       Location (Census Region)  \n",
       "count                       494  \n",
       "unique                        9  \n",
       "top          East North Central  \n",
       "freq                         85  \n",
       "mean                        NaN  \n",
       "std                         NaN  \n",
       "min                         NaN  \n",
       "25%                         NaN  \n",
       "50%                         NaN  \n",
       "75%                         NaN  \n",
       "max                         NaN  \n",
       "\n",
       "[11 rows x 38 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "star_wars_males.describe(include = 'all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RespondentID</th>\n",
       "      <th>Have you seen any of the 6 films in the Star Wars franchise?</th>\n",
       "      <th>Do you consider yourself to be a fan of the Star Wars film franchise?</th>\n",
       "      <th>seen_1</th>\n",
       "      <th>seen_2</th>\n",
       "      <th>seen_3</th>\n",
       "      <th>seen_4</th>\n",
       "      <th>seen_5</th>\n",
       "      <th>seen_6</th>\n",
       "      <th>Star Wars: Episode I The Phantom Menace</th>\n",
       "      <th>...</th>\n",
       "      <th>Unnamed: 28</th>\n",
       "      <th>Which character shot first?</th>\n",
       "      <th>Are you familiar with the Expanded Universe?</th>\n",
       "      <th>Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦</th>\n",
       "      <th>Do you consider yourself to be a fan of the Star Trek franchise?</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Household Income</th>\n",
       "      <th>Education</th>\n",
       "      <th>Location (Census Region)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5.490000e+02</td>\n",
       "      <td>549</td>\n",
       "      <td>397</td>\n",
       "      <td>549</td>\n",
       "      <td>549</td>\n",
       "      <td>549</td>\n",
       "      <td>549</td>\n",
       "      <td>549</td>\n",
       "      <td>549</td>\n",
       "      <td>396.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>394</td>\n",
       "      <td>397</td>\n",
       "      <td>397</td>\n",
       "      <td>68</td>\n",
       "      <td>549</td>\n",
       "      <td>549</td>\n",
       "      <td>549</td>\n",
       "      <td>443</td>\n",
       "      <td>545</td>\n",
       "      <td>549</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Very favorably</td>\n",
       "      <td>I don't understand this question</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Female</td>\n",
       "      <td>45-60</td>\n",
       "      <td>$50,000 - $99,999</td>\n",
       "      <td>Some college or Associate degree</td>\n",
       "      <td>Pacific</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>NaN</td>\n",
       "      <td>397</td>\n",
       "      <td>238</td>\n",
       "      <td>298</td>\n",
       "      <td>312</td>\n",
       "      <td>327</td>\n",
       "      <td>294</td>\n",
       "      <td>353</td>\n",
       "      <td>338</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>310</td>\n",
       "      <td>185</td>\n",
       "      <td>329</td>\n",
       "      <td>37</td>\n",
       "      <td>362</td>\n",
       "      <td>549</td>\n",
       "      <td>151</td>\n",
       "      <td>161</td>\n",
       "      <td>177</td>\n",
       "      <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.289817e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.429293</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9.306072e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.559796</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.288373e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.288719e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.289902e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.290632e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3.291440e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        RespondentID  \\\n",
       "count   5.490000e+02   \n",
       "unique           NaN   \n",
       "top              NaN   \n",
       "freq             NaN   \n",
       "mean    3.289817e+09   \n",
       "std     9.306072e+05   \n",
       "min     3.288373e+09   \n",
       "25%     3.288719e+09   \n",
       "50%     3.289902e+09   \n",
       "75%     3.290632e+09   \n",
       "max     3.291440e+09   \n",
       "\n",
       "       Have you seen any of the 6 films in the Star Wars franchise?  \\\n",
       "count                                                 549             \n",
       "unique                                                  2             \n",
       "top                                                  True             \n",
       "freq                                                  397             \n",
       "mean                                                  NaN             \n",
       "std                                                   NaN             \n",
       "min                                                   NaN             \n",
       "25%                                                   NaN             \n",
       "50%                                                   NaN             \n",
       "75%                                                   NaN             \n",
       "max                                                   NaN             \n",
       "\n",
       "       Do you consider yourself to be a fan of the Star Wars film franchise?  \\\n",
       "count                                                 397                      \n",
       "unique                                                  2                      \n",
       "top                                                  True                      \n",
       "freq                                                  238                      \n",
       "mean                                                  NaN                      \n",
       "std                                                   NaN                      \n",
       "min                                                   NaN                      \n",
       "25%                                                   NaN                      \n",
       "50%                                                   NaN                      \n",
       "75%                                                   NaN                      \n",
       "max                                                   NaN                      \n",
       "\n",
       "       seen_1 seen_2 seen_3 seen_4 seen_5 seen_6  \\\n",
       "count     549    549    549    549    549    549   \n",
       "unique      2      2      2      2      2      2   \n",
       "top      True  False  False  False   True   True   \n",
       "freq      298    312    327    294    353    338   \n",
       "mean      NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "std       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "min       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "25%       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "50%       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "75%       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "max       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "\n",
       "        Star Wars: Episode I The Phantom Menace           ...             \\\n",
       "count                                396.000000           ...              \n",
       "unique                                      NaN           ...              \n",
       "top                                         NaN           ...              \n",
       "freq                                        NaN           ...              \n",
       "mean                                   3.429293           ...              \n",
       "std                                    1.559796           ...              \n",
       "min                                    1.000000           ...              \n",
       "25%                                    2.000000           ...              \n",
       "50%                                    4.000000           ...              \n",
       "75%                                    4.000000           ...              \n",
       "max                                    6.000000           ...              \n",
       "\n",
       "           Unnamed: 28       Which character shot first?  \\\n",
       "count              394                               397   \n",
       "unique               6                                 3   \n",
       "top     Very favorably  I don't understand this question   \n",
       "freq               310                               185   \n",
       "mean               NaN                               NaN   \n",
       "std                NaN                               NaN   \n",
       "min                NaN                               NaN   \n",
       "25%                NaN                               NaN   \n",
       "50%                NaN                               NaN   \n",
       "75%                NaN                               NaN   \n",
       "max                NaN                               NaN   \n",
       "\n",
       "        Are you familiar with the Expanded Universe?  \\\n",
       "count                                            397   \n",
       "unique                                             2   \n",
       "top                                               No   \n",
       "freq                                             329   \n",
       "mean                                             NaN   \n",
       "std                                              NaN   \n",
       "min                                              NaN   \n",
       "25%                                              NaN   \n",
       "50%                                              NaN   \n",
       "75%                                              NaN   \n",
       "max                                              NaN   \n",
       "\n",
       "        Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦  \\\n",
       "count                                                  68                    \n",
       "unique                                                  2                    \n",
       "top                                                    No                    \n",
       "freq                                                   37                    \n",
       "mean                                                  NaN                    \n",
       "std                                                   NaN                    \n",
       "min                                                   NaN                    \n",
       "25%                                                   NaN                    \n",
       "50%                                                   NaN                    \n",
       "75%                                                   NaN                    \n",
       "max                                                   NaN                    \n",
       "\n",
       "        Do you consider yourself to be a fan of the Star Trek franchise?  \\\n",
       "count                                                 549                  \n",
       "unique                                                  2                  \n",
       "top                                                    No                  \n",
       "freq                                                  362                  \n",
       "mean                                                  NaN                  \n",
       "std                                                   NaN                  \n",
       "min                                                   NaN                  \n",
       "25%                                                   NaN                  \n",
       "50%                                                   NaN                  \n",
       "75%                                                   NaN                  \n",
       "max                                                   NaN                  \n",
       "\n",
       "        Gender    Age   Household Income                         Education  \\\n",
       "count      549    549                443                               545   \n",
       "unique       1      4                  5                                 5   \n",
       "top     Female  45-60  $50,000 - $99,999  Some college or Associate degree   \n",
       "freq       549    151                161                               177   \n",
       "mean       NaN    NaN                NaN                               NaN   \n",
       "std        NaN    NaN                NaN                               NaN   \n",
       "min        NaN    NaN                NaN                               NaN   \n",
       "25%        NaN    NaN                NaN                               NaN   \n",
       "50%        NaN    NaN                NaN                               NaN   \n",
       "75%        NaN    NaN                NaN                               NaN   \n",
       "max        NaN    NaN                NaN                               NaN   \n",
       "\n",
       "       Location (Census Region)  \n",
       "count                       549  \n",
       "unique                        9  \n",
       "top                     Pacific  \n",
       "freq                         99  \n",
       "mean                        NaN  \n",
       "std                         NaN  \n",
       "min                         NaN  \n",
       "25%                         NaN  \n",
       "50%                         NaN  \n",
       "75%                         NaN  \n",
       "max                         NaN  \n",
       "\n",
       "[11 rows x 38 columns]"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "star_wars_females.describe(include = 'all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>RespondentID</th>\n",
       "      <th>Have you seen any of the 6 films in the Star Wars franchise?</th>\n",
       "      <th>Do you consider yourself to be a fan of the Star Wars film franchise?</th>\n",
       "      <th>seen_1</th>\n",
       "      <th>seen_2</th>\n",
       "      <th>seen_3</th>\n",
       "      <th>seen_4</th>\n",
       "      <th>seen_5</th>\n",
       "      <th>seen_6</th>\n",
       "      <th>Star Wars: Episode I The Phantom Menace</th>\n",
       "      <th>...</th>\n",
       "      <th>Unnamed: 28</th>\n",
       "      <th>Which character shot first?</th>\n",
       "      <th>Are you familiar with the Expanded Universe?</th>\n",
       "      <th>Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦</th>\n",
       "      <th>Do you consider yourself to be a fan of the Star Trek franchise?</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
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       "      <th>Education</th>\n",
       "      <th>Location (Census Region)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.400000e+02</td>\n",
       "      <td>140</td>\n",
       "      <td>16</td>\n",
       "      <td>140</td>\n",
       "      <td>140</td>\n",
       "      <td>140</td>\n",
       "      <td>140</td>\n",
       "      <td>140</td>\n",
       "      <td>140</td>\n",
       "      <td>16.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>16</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>1</td>\n",
       "      <td>22</td>\n",
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       "      <td>0.0</td>\n",
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       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>NaN</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
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       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Very favorably</td>\n",
       "      <td>Greedo</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>NaN</td>\n",
       "      <td>116</td>\n",
       "      <td>11</td>\n",
       "      <td>126</td>\n",
       "      <td>129</td>\n",
       "      <td>129</td>\n",
       "      <td>130</td>\n",
       "      <td>127</td>\n",
       "      <td>127</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>9</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "      <td>18</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.290106e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.187500</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9.179132e+05</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.973787</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.288418e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.289559e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.290221e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.500000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.290719e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.250000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3.292638e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        RespondentID  \\\n",
       "count   1.400000e+02   \n",
       "unique           NaN   \n",
       "top              NaN   \n",
       "freq             NaN   \n",
       "mean    3.290106e+09   \n",
       "std     9.179132e+05   \n",
       "min     3.288418e+09   \n",
       "25%     3.289559e+09   \n",
       "50%     3.290221e+09   \n",
       "75%     3.290719e+09   \n",
       "max     3.292638e+09   \n",
       "\n",
       "       Have you seen any of the 6 films in the Star Wars franchise?  \\\n",
       "count                                                 140             \n",
       "unique                                                  2             \n",
       "top                                                  True             \n",
       "freq                                                  116             \n",
       "mean                                                  NaN             \n",
       "std                                                   NaN             \n",
       "min                                                   NaN             \n",
       "25%                                                   NaN             \n",
       "50%                                                   NaN             \n",
       "75%                                                   NaN             \n",
       "max                                                   NaN             \n",
       "\n",
       "       Do you consider yourself to be a fan of the Star Wars film franchise?  \\\n",
       "count                                                  16                      \n",
       "unique                                                  2                      \n",
       "top                                                  True                      \n",
       "freq                                                   11                      \n",
       "mean                                                  NaN                      \n",
       "std                                                   NaN                      \n",
       "min                                                   NaN                      \n",
       "25%                                                   NaN                      \n",
       "50%                                                   NaN                      \n",
       "75%                                                   NaN                      \n",
       "max                                                   NaN                      \n",
       "\n",
       "       seen_1 seen_2 seen_3 seen_4 seen_5 seen_6  \\\n",
       "count     140    140    140    140    140    140   \n",
       "unique      2      2      2      2      2      2   \n",
       "top     False  False  False  False  False  False   \n",
       "freq      126    129    129    130    127    127   \n",
       "mean      NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "std       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "min       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "25%       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "50%       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "75%       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "max       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "\n",
       "        Star Wars: Episode I The Phantom Menace           ...             \\\n",
       "count                                 16.000000           ...              \n",
       "unique                                      NaN           ...              \n",
       "top                                         NaN           ...              \n",
       "freq                                        NaN           ...              \n",
       "mean                                   3.187500           ...              \n",
       "std                                    1.973787           ...              \n",
       "min                                    1.000000           ...              \n",
       "25%                                    1.000000           ...              \n",
       "50%                                    3.500000           ...              \n",
       "75%                                    4.250000           ...              \n",
       "max                                    6.000000           ...              \n",
       "\n",
       "           Unnamed: 28  Which character shot first?  \\\n",
       "count               16                            8   \n",
       "unique               3                            3   \n",
       "top     Very favorably                       Greedo   \n",
       "freq                 9                            4   \n",
       "mean               NaN                          NaN   \n",
       "std                NaN                          NaN   \n",
       "min                NaN                          NaN   \n",
       "25%                NaN                          NaN   \n",
       "50%                NaN                          NaN   \n",
       "75%                NaN                          NaN   \n",
       "max                NaN                          NaN   \n",
       "\n",
       "        Are you familiar with the Expanded Universe?  \\\n",
       "count                                              8   \n",
       "unique                                             2   \n",
       "top                                               No   \n",
       "freq                                               7   \n",
       "mean                                             NaN   \n",
       "std                                              NaN   \n",
       "min                                              NaN   \n",
       "25%                                              NaN   \n",
       "50%                                              NaN   \n",
       "75%                                              NaN   \n",
       "max                                              NaN   \n",
       "\n",
       "        Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦  \\\n",
       "count                                                   1                    \n",
       "unique                                                  1                    \n",
       "top                                                   Yes                    \n",
       "freq                                                    1                    \n",
       "mean                                                  NaN                    \n",
       "std                                                   NaN                    \n",
       "min                                                   NaN                    \n",
       "25%                                                   NaN                    \n",
       "50%                                                   NaN                    \n",
       "75%                                                   NaN                    \n",
       "max                                                   NaN                    \n",
       "\n",
       "        Do you consider yourself to be a fan of the Star Trek franchise?  \\\n",
       "count                                                  22                  \n",
       "unique                                                  2                  \n",
       "top                                                    No                  \n",
       "freq                                                   18                  \n",
       "mean                                                  NaN                  \n",
       "std                                                   NaN                  \n",
       "min                                                   NaN                  \n",
       "25%                                                   NaN                  \n",
       "50%                                                   NaN                  \n",
       "75%                                                   NaN                  \n",
       "max                                                   NaN                  \n",
       "\n",
       "       Gender  Age Household Income Education Location (Census Region)  \n",
       "count     0.0  0.0              0.0       0.0                      0.0  \n",
       "unique    0.0  0.0              0.0       0.0                      0.0  \n",
       "top       NaN  NaN              NaN       NaN                      NaN  \n",
       "freq      NaN  NaN              NaN       NaN                      NaN  \n",
       "mean      NaN  NaN              NaN       NaN                      NaN  \n",
       "std       NaN  NaN              NaN       NaN                      NaN  \n",
       "min       NaN  NaN              NaN       NaN                      NaN  \n",
       "25%       NaN  NaN              NaN       NaN                      NaN  \n",
       "50%       NaN  NaN              NaN       NaN                      NaN  \n",
       "75%       NaN  NaN              NaN       NaN                      NaN  \n",
       "max       NaN  NaN              NaN       NaN                      NaN  \n",
       "\n",
       "[11 rows x 38 columns]"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "star_wars_nonbin.describe(include = 'all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Star Wars: Episode I The Phantom Menace         4.038\n",
       "Star Wars: Episode II Attack of the Clones      4.225\n",
       "Star Wars: Episode III Revenge of the Sith      4.275\n",
       "Star Wars: Episode IV A New Hope                2.998\n",
       "Star Wars: Episode V The Empire Strikes Back    2.459\n",
       "Star Wars: Episode VI Return of the Jedi        3.002\n",
       "dtype: float64"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# MALES ONLY\n",
    "\n",
    "round(star_wars_males[star_wars_males.columns[9:15]].mean(), 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Star Wars: Episode I The Phantom Menace         3.429\n",
       "Star Wars: Episode II Attack of the Clones      3.955\n",
       "Star Wars: Episode III Revenge of the Sith      4.418\n",
       "Star Wars: Episode IV A New Hope                3.544\n",
       "Star Wars: Episode V The Empire Strikes Back    2.569\n",
       "Star Wars: Episode VI Return of the Jedi        3.078\n",
       "dtype: float64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# FEMALES ONLY\n",
    "\n",
    "round(star_wars_females[star_wars_females.columns[9:15]].mean(), 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_rank_male = pd.DataFrame({'MOVIE': [\"Star Wars: Episode I The Phantom Menace\", \n",
    "                         \"Star Wars: Episode II Attack of the Clones\",\n",
    "                         \"Star Wars: Episode III Revenge of the Sith\",\n",
    "                         \"Star Wars: Episode IV A New Hope\",\n",
    "                         \"Star Wars: Episode V The Empire Strikes Back\",\n",
    "                         \"Star Wars: Episode VI Return of the Jedi\"], \n",
    "                         'RANKING': [4.038,4.225,4.275,2.998,2.459,3.002]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_rank_female = pd.DataFrame({'MOVIE': [\"Star Wars: Episode I The Phantom Menace\", \n",
    "                         \"Star Wars: Episode II Attack of the Clones\",\n",
    "                         \"Star Wars: Episode III Revenge of the Sith\",\n",
    "                         \"Star Wars: Episode IV A New Hope\",\n",
    "                         \"Star Wars: Episode V The Empire Strikes Back\",\n",
    "                         \"Star Wars: Episode VI Return of the Jedi\"], \n",
    "                         'RANKING': [3.429,3.955,4.418,3.544,2.569,3.078]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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IIYSVlKiZaObMmRgMBqZMmcLly5c5cuQIc+fOtXY2IYQQpeSOxeDSpUtcu3aN\n/Px8HnnkEWbMmEHz5s0ZOXJkaeQTQghRCm5bDKKioujSpQuvvvoqXbp0YefOnfTv359Tp07JU8JC\nCGFDbnvN4LPPPmPDhg00bdqU2NhYhg0bxoIFC+jVq1dp5RNCCFEKbntmYGdnR9OmTYEbF4Pr168v\nhUAIIWzQbc8M9Ho9iYmJKIoCQIUKFUymmzRpYv2EQgghrO62xeDatWu88sorJvMKp3U6HXv27LFe\nMiGEEKXmtsVg7969pZVDCCGEhkr0nIEQQgjbJsVACCGEFAMhhBBSDIQQQiDFQAghBFIMhBBCIMVA\nCCEEUgyEEEJg5WIwbdo02rdvT79+/cwuP3z4MF5eXgQFBREUFMTSpUutGUcIIUQxSjTS2b0KDg5m\n6NChTJo0qdh1vLy8WL58uTVjCCGEuAOrnhl4eXlRrVo1a25CCCGEBWh+zSA+Pp6AgABGjhzJ6dOn\ntY4jhBAPJKs2E91Jy5Yt2bdvH46OjkRHRzNmzBh27dqlZSQhhHggaXpm4OTkhKOjIwC+vr4YDAYu\nXbqkZSQhhHggWb0YFA6EY05GRob6fUJCAgA1atSwdiQhhBC3sGoz0YQJE/j999+5dOkSXbp04bXX\nXsNgMKDT6QgJCWHXrl2sXbsWe3t7KlWqxKJFi6wZRwghRDGsWgwWLFhw2+WhoaGEhoZaM4IQQogS\n0PxuIiGEENqTYiCEEEKKgRBCCCkGQgghkGIghBACKQZCCCGQYiCEEAIpBkIIIZBiIIQQAikGQggh\nkGIghBACKQZCCCGQYiCEEAIpBkIIIZBiIIQQAikGQgghsHIxmDZtGu3bt6dfv37FrjNnzhx69OhB\nQEAAf/75pzXjCCGEKIZVi0FwcDArVqwodnl0dDTJycns3r2bd955h5kzZ1ozjhBCiGJYtRh4eXlR\nrVq1Ypfv2bOHwMBAANq0aUN2djYZGRnWjCSEEMIMTa8ZpKenU7t2bXXa1dWVtLQ0DRMJIcSDSS4g\nCyGE0LYYuLi4kJqaqk6npqbi6uqqYSIhhHgwWb0YKIpS7LJu3boREREBwNGjR6lWrRrOzs7WjiSE\nEOIW9tZ88QkTJvD7779z6dIlunTpwmuvvYbBYECn0xESEoKvry/R0dH4+fnh6OjIu+++a804Qggh\nimHVYrBgwYI7rhMWFmbNCEIIIUpALiALIYSQYiCEEEKKgRBCCKQYCCGEQIqBEEIIpBgIIYRAioEQ\nQgikGAibDln5AAAgAElEQVQhhECKgRBCCKQYCCGEQIqBEEIIpBgIIYRAioEQQgikGAghhECKgRBC\nCKQYCCGEoBSKwf79++nVqxc9e/bk888/L7L88OHDeHl5ERQURFBQEEuXLrV2JCGEELew6khnBQUF\nhIeHs2rVKlxcXBg4cCDdunXDzc3NZD0vLy+WL19uzShCCCFuw6pnBgkJCTRs2JC6detSsWJF+vbt\ny549e6y5SSGEEPfAqsUgLS2NOnXqqNOurq6kp6cXWS8+Pp6AgABGjhzJ6dOnrRlJCCGEGVZtJiqJ\nli1bsm/fPhwdHYmOjmbMmDHs2rVL61hCCPFAseqZgaurKykpKep0WloaLi4uJus4OTnh6OgIgK+v\nLwaDgUuXLlkzlhBCiFtYtRg8+eSTJCcnc+7cOfR6Pdu2baNbt24m62RkZKjfJyQkAFCjRg1rxhJC\nCHELqzYT2dnZMWPGDEaMGIGiKAwcOBA3NzfWrVuHTqcjJCSEXbt2sXbtWuzt7alUqRKLFi2yZiQh\nhBBmWP2aQefOnencubPJvMGDB6vfh4aGEhoaau0YQgghbkOeQBZCCCHFQAghhBQDIYQQSDEQQgiB\nFAMhhBBIMRBCCIEUAyGEEEgxEEIIgRQDIYQQSDEQQgiBFAMhhBBIMRBCCIEUAyGEEEgxEEIIgRQD\nIYQQlEIx2L9/P7169aJnz558/vnnZteZM2cOPXr0ICAggD///NPakYQQQtzCqsWgoKCA8PBwVqxY\nQVRUFNu2bSMxMdFknejoaJKTk9m9ezfvvPMOM2fOtGYkIYQQZli1GCQkJNCwYUPq1q1LxYoV6du3\nL3v27DFZZ8+ePQQGBgLQpk0bsrOzTcZFFkIIYX1WLQZpaWnUqVNHnXZ1dSU9Pd1knfT0dGrXrm2y\nTlpamjVjCSGEuIXVx0AuS3Ivp995pXK4rUI5F7JtcluFzufm2uS2Cl26XDoHQaW1nZulpF4u1W21\nKrWt3ZCdeq6Ut9XS4q+rUxRFsfir/n9Hjx7lk08+YcWKFQDqBeSRI0eq64SFhdG2bVv69OkDQK9e\nvfj2229xdna2ViwhhBC3sGoz0ZNPPklycjLnzp1Dr9ezbds2unXrZrJOt27diIiIAG4Uj2rVqkkh\nEEKIUmbVZiI7OztmzJjBiBEjUBSFgQMH4ubmxrp169DpdISEhODr60t0dDR+fn44Ojry7rvvWjOS\nEEIIM6zaTCSEEKJ8kCeQhRBCSDEQQgghxUAIIQRSDIQQQiDFQAghBFIMzEpKSmL48OH4+/sDcPLk\nSZYuXapxKsvZsWMHV69eBWDp0qWMHTuWEydOaJzKcnbv3k2PHj3w9PTEw8MDd3d3PDw8tI5lEYqi\nEBkZyZIlSwBISUkhISFB41SW8/HHH5tMG41GJkyYoFEayxk3bhwA/fr1M/tVJiiiiNDQUOXYsWNK\nQECAOq9v374aJrIsf39/RVEU5ciRI8rzzz+v/Pzzz8rAgQM1TmU53bt3V06fPq11DKsICwtTZs2a\npfTq1UtRFEW5dOmSEhwcrHEqy5kyZYqyfPlyRVEU5fr168qoUaOUxYsXa5zq/qWlpSmKoij//vuv\n2a+yQM4MzMjLy6N169Ym8+zs7DRKY3mFv0t0dDTPPvssXbp0wWAwaJzKch555BHc3Ny0jmEVCQkJ\nzJw5k4ceegiA6tWr29R7N2/ePP766y8+++wzRo0axdNPP81rr72mdaz75uLiAkDdunXNfpUFD1RH\ndSVVs2ZNkpOT0el0AOzcuZNatWppnMpyXF1dCQsL4+DBg7zyyivo9XoKCgq0jnXfdu/eDUCrVq14\n44036N69Ow4ODuryHj16aBXNYuzt7TEajer/ZmZmJhUqlP9jupubKYcNG0ZYWBgeHh54e3tz4sQJ\nWra0fMdspcnd3V19z8yJi4srxTTmyRPIZpw9e5YZM2YQHx9PtWrVqFevHvPnz6devXpaR7OIvLw8\nfvnlF5o1a0ajRo1IT0/nr7/+omPHjlpHuy9Tp0697XJb6Opky5YtbN++nRMnThAcHMzOnTt54403\n6N27t9bR7svQoUOLXabT6Vi9enUpprGejz76iFq1ahEQEADceD8vXLigXlPQkhSD28jNzaWgoIAq\nVapoHcXiYmJi+OeffxgwYACZmZnk5ORQv359rWNZRGxsLJ6ennecV14lJiZy6NAhANq2bWuzTWK2\nqH///mzZsuWO87RQ/s8vrWDhwoVcuXKFypUrU6VKFS5fvsyiRYu0jmUxS5Ys4csvv1S7FDcYDEyc\nOFHjVJYzZ86cEs0rr65du4bRaKSgoIBr165pHceiCve9Qra271WuXJktW7ao79+WLVuoXLmy1rEA\nKQZm7d+/n2rVqqnT1atXZ//+/Romsqwff/yRZcuW4ejoCNy4hpCTk6NxqvsXHx/PV199RWZmJitX\nrlS/PvnkE4xGo9bxLGLJkiVMmTKFy5cvk5WVxdSpU23qtmdb3/c+/PBDduzYQfv27Wnfvj07d+7k\nww8/1DoWIBeQzTIajej1evXi47Vr19Dr9RqnspyKFSui0+nUC1q5GozqZQ0Gg4Hc3FyMRqNJcatS\npQqLFy/WMJnlbN26lS1btqh3E40cOZKAgABGjx6tcTLLsPV9r169eixbtkzrGGZJMTCjX79+DB8+\nnODgYAB++OEHAgMDNU5lOb179yYsLIwrV66wfv16Nm3axLPPPqt1rPvm4+ODj48PQUFBZeZ2PUtz\ncXHh+vXrajHQ6/W4urpqnMpybH3fS0pKYtasWVy8eJGoqChOnjzJ3r17y0QxlwvIxYiOjlYv0rVv\n355OnTppnMiyDh48yIEDBwDo2LEjHTp00DjR/Zs7dy7Tp09n1KhRZpcvX768lBNZ3ujRo/njjz/o\n0KEDOp2OgwcP0rp1a2rXrg3A22+/rXHC+2fL+97zzz/PpEmTCAsLU0d49Pf3JyoqSuNkcmZQLF9f\nX3x9fbWOYTUdOnSwiQJws8Lb9UaMGKFxEuvx8/PDz89Pnfbx8dEwjXXY8r5Xlh9olWJgxtGjRwkP\nD+fvv//GYDBgNBpxdHQsEw+GWMLu3bv58MMPuXjxIoqioCgKOp2u3P9+rVq1Av73AWkwGDh16hSu\nrq488sgjWkazmKCgIPR6PWfOnAGgcePGVKxYUdtQFmTr+16ZfqBVu54wyq6goCDlzJkzSkBAgJKf\nn69s3LhR+fDDD7WOZTG22nfPjBkzlL/++ktRFEW5cuWK0rt3b8Xf31/p2LGjsnXrVo3TWcahQ4eU\nLl26KKGhocpzzz2nPPPMM8rhw4e1jmUxtr7vJScnK8OHD1dat26tdOzYURk8eLBy9uxZrWMpinLj\nqFDcIigoSFGU/3XopiiKSad15V1ISIjWEayiT58+6vcrV65UXn31VUVRFCU9Pd1m3r+goCAlMTFR\nnf7777/V/1dbYOv7XqGcnBwlOztb6xgmpJnIDEdHR/R6PY8//jgffPABLi4uNtF3TyFb7bvn5uaS\nX3/9lV69egGUndNwCzAYDDz22GPqdOPGjW2qozpb3fdWrlxZ7DIHBwfq169Px44dNe1nSu4mMuPc\nuXM4OztjMBhYtWoV2dnZPPfcczRs2FDraBZRXB8+5b3vnqFDhzJixAhcXV0ZNmwYO3bsoFatWuTn\n5+Pv78/OnTu1jnjfpk6dSoUKFejfvz9w47kDo9FY7t+7Qra67xWOP2FOfn4+p0+fxs7Orsh4DqVJ\nioGwGUlJScyZM4eMjAyTe9V/+eUXDh48yJQpUzROeP/0ej3fffcdsbGxAHh5efHcc8+ZnOGJ8qlf\nv35s3bpVs+1LMTAjNjaWJUuWkJKSQn5+vjp/z549GqaynNTUVMLDw9U7NLy8vJg+fbp6r7oQpe3M\nmTMsX76c6tWr8+KLL/L2228TGxtL/fr1mTNnTpHbMYXlSTEwo1evXkydOpVWrVqZtOHVrFlTw1SW\n8+KLL+Lv72/Sje7WrVtv264ptHWnoRG1PKK0hCFDhhAYGMjVq1dZtWoV06ZNo2vXrsTExPDRRx+x\nYcMGrSPaPLmAbEbVqlVt9qEXuDEgyoABA9Tp4OBgvv76aw0TiTspfHpaURT+85//qD3O2orc3FxC\nQkIAWLdunTo+Q4cOHfjggw+0jPbAkGJgxtNPP837779Pjx49TNpiy/toS4Vq1KhBZGQk/v7+AERF\nRVGjRg2NU4nbubmvJQcHB5vre+nmM/Bbxw+xhZHcCmVkZLBw4ULS09P58ssvOX36NPHx8QwaNEjr\naNJMZI65UZdsabSlc+fOER4eztGjR9HpdLi7u/P222/z6KOPah3NIsryDmcJQUFBbN68WesYFtWm\nTRsaNGgAQHJysvo93Bh58OjRo1pFs6iXX36Z4OBgli9fzpYtW8jPzycoKKhMNPPJmYEZ33zzjdYR\nrKpu3bo20WlbcaZMmaLucACNGjXizTffLNfF4OYxgq9du8b//d//cfNxXHk/a92+fbvWEUpFVlYW\nffr0UZv57O3ty8yZjxQDM2z1yDI8PPy2g3LbQo+XULZ3uHv13nvvqd87OzubPFdgC2etttbsVZzK\nlSuTlZWl7odHjx6latWqGqe6QYqBGbZ4ZAn/68jN1pXlHe5e2frZ6oNiypQpvPrqqyQnJzN48GCy\nsrI0fdDsZlIMzLDFI0uAPn36kJOTw8MPP2wyPzMzEycnJ41SWV5Z3uHEg61ly5Z8++23JCUloShK\nmep1VoqBGbZ4ZAk3BoXv1KlTkT6IYmNjOXDgALNnz9YomWWV5R1OlNzly5c5f/48LVq00DqKRSUk\nJHDu3DmMRiP/93//B1AmRnOTu4nMOHHiBOHh4Zw6dYqmTZuqR5bl/Z8yODiYH374weyyvn37sm3b\ntlJOZD1xcXHqDleoLOxw4vaGDh3KsmXLyM/PJzg4mEceeQQPD49i+9MqbyZOnMjZs2dp0aKFOqiN\nTqcrE9fr5MzADFs9sszLyyt2mS30DFmouB3OForBW2+9hY+PD56enri5uWkdx+Kys7OpUqUKGzZs\nIDAwkNdff/2OT1+XJ8ePH2f79u23vZFDK1IMbrJ7926z8wtHlSrvXTw/8sgjJCQkFOnnJSEhoch1\nhPKsLO9w92vgwIHExMQwZ84ckpOTeeKJJ/Dy8mL48OFaR7MIo9FIeno6O3bs4I033tA6jsU1bdqU\nCxcu4OLionWUIqQY3OT111/n8ccfL7Y5qLwXg0mTJvHGG28QFBSk3pd+/PhxIiIiWLRokcbpLKcs\n73D3q23btnh7e/PHH3/w+++/s27dOk6dOmUzxWD06NG89NJLeHh40Lp1a86ePUujRo20jnXfRo0a\nBUBOTg59+/aldevWJq0NZeG5H7lmcJOffvqJbdu28c8//9CtWzf8/f3LfT/qt7p48SLfffcdp06d\nAqBJkyY8//zzNjFG8M073MmTJ8vkDne/hg8fTl5eHk899RReXl54enraxHtn6w4fPnzb5YXjdmtJ\nioEZubm57Nmzh+3bt3Pp0iXefPPNMvFmidsrDzvc/Zo3bx4nTpzAwcEBDw8PvLy8cHd3p1KlSlpH\ns4ikpCRmzZrFxYsXiYqK4uTJk+zdu5fRo0drHc0i5s+fz8SJE+84Twvl/+Z5K3jooYeoWrUqVapU\nITc3l+vXr2sdSZSAj48PPj4+REdHq9/fPM8WTJs2je+++45PPvmEGjVqMG3aNLy8vLSOZTEzZsxg\nwoQJ2NvfaMFu0aKFTXVV8euvvxaZt3//fg2SFCXXDG7y22+/sX37dhISEmjfvj3Dhg3jySef1DqW\nuEvF7XBl4ejrfn377bfExMRw4sQJ6taty4ABA/D09NQ6lsXk5eUVucGh8I6w8mzNmjWsXbuWs2fP\nmtwdlZOTg4eHh4bJ/keKwU1efPFFmjdvjqenJ3q9nsjISCIjI9XlZeFeYEvKy8vD0dFR6xgWUx52\nuPt1/fp1XnzxRVq2bKkePduSmjVrkpycrN4JtnPnTmrVqqVxqvvXr18/OnfuzMKFC5kwYYI638nJ\nqcx0Hy/XDG5yp26Bg4KCSimJdcXFxfH222+Tm5vLvn37OHnyJOvWrWPWrFlaR7sv2dnZXL58uUzv\ncJYQExPDP//8w4ABA8jMzCQnJ4f69etrHcsizp49y4wZM4iPj6datWrUq1eP+fPnU69ePa2j2Twp\nBg+gQYMGsXjxYl599VUiIiIA8Pf3JyoqSuNk4k6WLFnC8ePHSUpKYteuXaSlpTFu3DjWrVundTSL\n0Ov1ODg4kJubS0FBAVWqVOHSpUs2VczLKrmA/ICqU6eOybQtdMT3IPjxxx9ZtmyZ2rzn6upKTk6O\nxqksZ+zYseTn51O5cmWqVKnChQsXGDFihNax7pter9c6wh3JJ8ADqE6dOsTFxaHT6TAYDKxYscIm\nujYoDzvc/apYsSI6nU5tU8/NzdU4kWV1796dcePGYTQa+ffffxkxYgTjx4/XOtZ9KxzfuSzfxGB7\nV6DEHc2aNYu5c+eSlpZG586d6dChA2FhYVrHum8hISFs3ryZiRMnMn/+fK3jWEXv3r0JCwvjypUr\nrF+/nk2bNvHss89qHctinn32WQwGA2PGjOHcuXPMnj3bJi7+GwwGtm7dSnx8vNlub8pC7wZyzcCM\ns2fP8u2333Lu3Dny8/PV+bbwBKst8/f35z//+Q8ff/wxkyZNKrK8LOxwlnDw4EEOHDgAQMeOHenQ\noYPGie7fypUr1e8VRSEiIoLmzZvzxBNPADfu9CvPYmJi2Lp1Kzt37qRr165Flt88cp1WpBiY0b9/\nfwYOHEizZs1M2tJt4QlWuDGYzfr164sUu7LwD3k/ysMOJ8xbsmTJbZePHTu2lJJY14YNG8rsiIlS\nDMwYOHAgGzdu1DqG1QwePBhPT09atmxp8kBPz549NUxlOWV5h7tXXbt2LbYXVp1Ox08//VTKicS9\n0Ov1rFu3jpiYGAC8vb0ZPHhwmegiX4qBGZGRkSQnJ9OxY0ccHBzU+YU9fZZ3AQEBJg/T2ZqyvMPd\nq6ysLJNpRVHYsWMHK1asoGXLlnzyyScaJbOMuXPnMn36dLWzwVvZShPt9OnTyc/PV8fW2LJlCxUq\nVGDu3LkaJ5MLyGadOnWKyMhIfv/9d/VoTKfTsXr1ao2TWUaXLl2Ijo7G19dX6yhWMXv2bPLz8xky\nZAhwY4crvGheXtWsWRO4MQhRZGQkK1asoEWLFnz++ec0adJE43T3LyAgAMAmbiO9nT/++IMtW7ao\n0+3ataN///4aJvofKQZm7Nq1iz179picFdgCd3d3dDodiqLw2Wef4eDggL29PYqioNPpiIuL0zqi\nRZTlHe5eGQwGNm3axKpVq/D09OTTTz+1qe7VW7VqhdFo5Pvvv2fBggVax7EaOzs7kpOTadCgAXDj\nZpWy0veSFAMzmjZtSnZ2ts31Ex8fH691hFJRlne4e9WtWzfs7e0ZNmwYjz76KP/973/573//qy63\nhTul7OzsSElJUZ9CtkWTJk1i2LBh1K9fH0VRSElJYd68eVrHAqQYmJWdnU3v3r158sknbW5wFLgx\nQMrXX399x3nlVVne4e5V+/bt0el0RYpAIVsoBgD169dnyJAhdO3alcqVK6vzy/utpYXatWvH7t27\n+fvvvwF47LHHykzhk2JgxmuvvaZ1BKu4fv06ubm5ZGVlcfnyZQrvHbh69SppaWkap7OcsrzD3av3\n3ntP6wilokGDBjRo0ABFUWyqm42bOTg4FDu0rpakGJjh4+NDRkYGf/zxBwCtW7e2iSajdevW8fXX\nX5Oenk5wcLBaDKpUqcLzzz+vcTrLKqs7nLg9Nzc3evfubTJvx44dGqV5sMitpWZs376d+fPn4+Pj\ng6IoxMTEMGnSJHr16qV1NIv45ptvGDp0qNYxhCgiKCioSFfy5uYJy5MzAzOWL1/Oxo0b1bOBzMxM\nXnjhBZspBlIIbIvBYCjXz1AAREdHs3//ftLS0pgzZ446/+rVq+X+4v+t0tLSOHfuHEajUZ3n7e2t\nYaIbpBiYoSiKSbNQjRo1kBOo8kNRFLZs2cLZs2cZO3YsKSkpZGRkFBlOsTxTFIVDhw6xdetW9u3b\nZ3aoz/LE1dWVVq1asXfvXpOHO52cnJg6daqGySxr/vz57NixAzc3N5MiVxaKgTQTmfH+++/z119/\n0bdvX+BGs1GzZs3Mdn5WnsTGxqpDepb3C6q3M3PmTCpUqMChQ4fYsWMHly9fZsSIEWzatEnraPft\n6NGjREVF8dNPP3H58mXCwsLo2rUr1atX1zqaRRSe5RgMBk6dOoWrq6tNXK8r1LNnT7Zu3Vom9z8Z\nz8CMyZMnExISot7GFxISUu4LAaA+gVvYt7qtSkhIYObMmTz00EMAVK9eHYPBoHGq+7Nw4UJ69uzJ\nkiVLePzxx4mIiKBmzZoEBQXZRCEICwvj1KlTVKxYkezsbAICApg8eTKBgYE2NQJf/fr1y+z/ojQT\nmTF//nwmTpxocu924bzyzN7enhkzZhRply309ttva5DK8uzt7TEajWpXIpmZmeV+JLcNGzbwxBNP\nMGTIEDp16oSDg0OxHdeVR7GxsbzzzjsAbNq0iUaNGrF06VIuXLjAK6+8gr+/v8YJLcPR0ZHAwEDa\ntWtncnZQFvY9KQZmmGt/3b9/f7kvBsuXL+e3337jwIEDNtPpnjlDhw5lzJgxXLx4kUWLFrFz507e\neOMNrWPdlwMHDnDw4EG2bdtGeHg4Pj4+XL9+nfz8fOzty/9ufPMF8F9//VW9WaNWrVpaRbKKrl27\nmu1evSwo//9FFrRmzRrWrl3L2bNn6devnzo/JyfHJkZbevjhh+nbty9ubm42fQ9+//79admyJYcO\nHUJRFJYuXVruh/W0s7Ojc+fOdO7cGb1ez88//8y1a9fo3Lkz7dq1K/f9+VStWpWff/4ZV1dX4uLi\n1CbN/Px8rl27pnE6yzAajRw4cKDMvldyAfkm2dnZXL58mYULFzJhwgR1vpOTEzVq1NAwmWWlpqYS\nHh6udkzn5eXF9OnTqV27tsbJLOPSpUtF5jk5OZX72y/NuXr1Kj/99JPaJXJ5lZSUxJw5c8jIyGD4\n8OEEBwcD8Msvv3Dw4EGmTJmicULLGDJkCF9//XWZvIAsxaAYRqORjIwMk3uBH330UQ0TWc6LL76I\nv7+/2m3wli1b2Lp1q8nQg+VZ165dOX/+PNWqVQPgypUrODs74+zsTHh4OK1atdI4oXhQTZo0icTE\nxDLZ95I0E5nx7bff8sknn+Ds7Gxy4XHr1q0aprKcixcvMmDAAHU6ODjYZjqpgxuduvXs2ZNOnToB\nN9rbd+/eTXBwMLNnz2bDhg0aJxQPqrLc95IUAzO+/vprdu7cqQ4oYmtq1qxJZGSkeodGVFSUTTWD\nHTt2zORuqY4dO/L+++/zzjvvoNfrNUx272zhKWNRtsdylmJgRu3atalatarWMaxm3rx5hIeH8+67\n76LT6XB3d7epweJr1arF559/bvLQoLOzM0ajsdzeYtq5c2e6du2Kv78/bdu2tanbSh8kQ4cONfve\nlYVRFOWagRnTpk0jKSmJLl26mFzoKQvteuLOMjMz+fTTT4mNjQXAw8ODsWPHUqVKFc6fP18uRwjL\nyspi165dbNu2jX/++YcePXrg7+/PU089pXU0i8rIyGDhwoWkp6fz5Zdfcvr0aeLj4xk0aJDW0Szi\n+PHj6vfXr19n9+7d2NnZlYmHWqUYmLFkyRKz88vyKZ54cKSlpbFz5062b9/OxYsX6du3L2+++abW\nsSzi5ZdfJjg4mOXLl7Nlyxby8/MJCgqymet15gwcOJCNGzdqHUOaicyRD/3yLSkpia+++opz586R\nn5+vzi8Lp+KW4OrqysCBA6levTorV65kw4YNNlMMsrKy6NOnD59//jlw42ny8tq0Z87Ntz0XFBRw\n4sQJsrOzNUz0P1IMzMjMzOSLL77g9OnTXL9+XZ1vKx8m5jqqu3Tpks1cRB43bhyDBw9m0KBBNvVB\ncv36dfbu3cu2bduIj4+nU6dOTJgwgQ4dOmgdzWIqV65MVlaW2q5+9OhRm7p+FxwcjE6nQ1EU7O3t\nqVevnvqAndakGJjx1ltv0bt3b/bt28fs2bPZvHkzDz/8sNaxLGbs2LF8+umn6t0p6enpjBo1ih9+\n+EHjZJZhb2/Pc889p3UMi5owYQK//vor3t7e9OvXjwULFqgd8dmSKVOm8Oqrr5KcnMzgwYPJysri\n448/1jqWxezYsaPI+1Zm7nBTRBFBQUGKoiiKv7+/Oi84OFirOBb3/fffK6NHj1by8/OVs2fPKv7+\n/sovv/yidSyLWbx4sfLtt98qaWlpSlZWlvpVnm3evFnJzs7WOoZVGY1GJTY2VjEYDMpff/2l/Pe/\n/1X0er3WsSwqMDCwRPO0IGcGZhR2/OXi4sK+fftwcXHh8uXLGqeynGeffRaDwcCYMWM4d+4cs2fP\ntom+lwoVDpG4YsUKdZ5Op2PPnj1aRbpvmZmZt31YzhbudKtQoQLvvPMOERERNG3aVOs4FnXhwgXS\n0tK4du0a//d//6cOlnX16lXy8vI0TneDFAMzXn31VbKzs5k8eTLh4eHk5OTYxGhLN3c3oSgKKSkp\ntGjRgmPHjnHs2DGb+EAB2Lt3r9YRLC43N1frCKWiXbt27Nq1ix49etjUsxQHDhzghx9+IDU11eSZ\nnipVqjB+/HgNk/2P3Fr6ACnultlCtnIXVV5eHitXruT8+fOEh4dz5swZkpKSeOaZZ7SOJu7A3d2d\nvLw87O3tcXBwQFEUdDqd2qliebdr1y569uypdQyzpBiYkZmZyfr164vcmmhLT+nasjfeeIOWLVsS\nGRlJVFQUeXl5DB48mMjISK2jiQfchQsXWLRoUZl8qM527ruzoNGjR5OdnU27du3o0qWL+mUrXnzx\nRa5cuaJOX758mZdeeknDRJaVnJzMK6+8ol77cXR0RI55yrbExEQATpw4YfbLVkydOpWOHTuSnp4O\nQFbqMqwAACAASURBVKNGjcrMLetyzcCMvLy8cj+q2e1kZmaq3TvDjTGCL168qGEiy3JwcODatWtq\nm3NycnKZ7D9e/M+qVasIDw/nvffeK7JMp9OVmQ/M+1WWH6qTYmBGly5diI6OxtfXV+soVmFnZ0dK\nSoo6PsO5c+ds6mLd2LFjefnllzl//jwTJkwgPj7eZpr4bLXvnvDwcAC++eYbjZNYV1l+qE6uGdzE\n3d1dfTowLy8PBwcH7O3tbe4i1v79+wkLC8Pb2xtFUdTByAv7/7cFWVlZHDt2DEVRaNOmjc08NGjr\nffdcv36dNWvWEBsbi06nw9PTkyFDhtjMA3YnTpwgPDycU6dO0bRpU/WhurIwDK0UgwdUZmYmx44d\nA7CpD0uAUaNG4e/vX2Q0KVswYMAANm3aRGBgIBEREQAEBATYzMXxcePG4eTkRP/+/YEbY21cuXKF\nxYsXa5zMcvLz80lKSkJRFBo3blxmxqmQZqKbXLx4keXLl5OcnEzz5s0ZOXIkVapU0TqWVdjZ2fHI\nI49w/fp1EhMTSUxMxNvbW+tYFjFixAi2b9/OggULePLJJ+nTpw/PPPOMTRxdluVmBks4deoU27dv\nV6fbtm1Lnz59NExkefb29upDdUePHmXJkiV8+eWXGqeSMwMTL730Eq1atcLLy4t9+/aRk5Nj9oJW\nebdhwwZWr15Namqq+tDZU089ZTMX6QoZjUYOHTrE+vXr+eWXX2yima8sNzNYwltvvcXzzz+vjtNw\n7NgxvvvuOz744AONk92fmJgYZs+ezdmzZ2nSpAmzZs3i008/JS0tjVGjRtGjRw+tI0oxuFn//v3Z\nsmWLOh0UFKR2bWBL+vXrx8aNG3n22WeJjIwkMTGRRYsW3fGhtPLk2rVr7N27lx07dnDixAmeeeYZ\nZsyYoXUsiyirzQyW0Lt3b5KSktSbG1JSUmjcuLF6m3B5vTYSHBzM5MmTcXd3Z//+/YwfP57JkycT\nGhqqdTSVNBPd4vLly+o96Uaj0WTaVrp4dnBwUJtM9Ho9bm5uJCUlaZzKcsaNG8cff/xBx44dCQ0N\nxcfHp8zcvnevdu/ebXb+mTNnAMrEkaUllIXmEmtQFIWnn34agO7du1OnTp0yVQhAioGJq1evEhwc\nbPKAUlBQEFD+Ozq7We3atbly5Qrdu3fnxRdfpFq1auqRmC0YOHAgCxcuxM7OTusoFvPzzz8DN65r\nxcfH07ZtWwB+//133N3dbaYY1K1bl8uXL3P+/HmMRqM6v2XLlhqmun9XrlwxKehGo9Fkuiy8f9JM\n9IA7fPgw2dnZdO7c2WaaG2y5b6IRI0bw3nvv4eLiAtwYi2Lq1KkmPbSWZx999BGbN2+mQYMG6jxb\neOjsTh1dloXnYOTM4AE0ceJE5s+fD4CPj0+ReeXd1KlTadmyJfHx8cCNYSLHjRtnE8Xg/PnzaiEA\ncHZ2JiUlRcNElrVjxw5+/PFHm3tivCx82N+JFIMH0OnTp02mjUajTfX/kpyczEcffcS2bdsA2+qb\nqF27drz00kv07dsXgO3bt9O+fXuNU1lO06ZNyc7O5pFHHtE6ygNHisED5LPPPmP58uVcv35dHcxG\nURQcHBzKfXcGN7PlvonCwsL48ccfOXLkCAAhISH4+flpnMpyRo4cSUBAAM2bNzdptly+fLmGqR4M\ncs2gGDExMfzzzz8MGDCAzMxMcnJyqF+/vtaxLGLBggVMmDBB6xhWc/DgQZYtW8bp06f5f+3de1BU\n5/kH8O8i3omKoo5DjNFGQxTlEgEVL6kaBUUFDLcWi4JSbb0QMwZTFWKNTRowMyHWoiPS1TAag4Ag\nKyBei1pAs47xfoGATBBviBJ0Efb8/mD2ZFcX7a974D3n3ecz0xnYtfF5Rt2H85zzvI+3t7d4NpHh\naQ6lu3fvHs6fPw+VSoVRo0Zx9VP0jBkzEBoaimHDhpk8AWZoZ5K2Q8XAjM2bN+PChQsoLy9Hfn4+\nampqsGLFCuzZs4d1aJKIiIiAWq1+5WtKxuvZRBqNBgkJCfD09IQgCDhz5gw+/vhj+Pj4sA5NEobj\nNnjT2qPBBnJ4mojaRGYcOnQIWVlZ4mOl/fv3xy+//MI4KsvpdDo0NDSgtrbWZH6ivr4eNTU1jKOT\nlr29vbiDorq6GvHx8Vi/fj3boCSQnJyM9PR08WrgwYMHmD9/PjfFYPTo0di0aRMmT55s0tpT+qOl\nhkeDW0PFQKY6duwIlUol9px52T+7Z88eqNVq3Llzx2Sews7ODuHh4Yyjs9zNmzeRkJAgjvx/8skn\n2L59O44cOYI//OEPrMOThCAIJm2hXr16cXNzHAAuXboEoOXMHgMeHi1duXIl+vbtyzqMl6I2kRkp\nKSmoqKjAyZMn8cc//hH79u2Dn58f5s2bxzo0SezateuFXJ49e6b4OYPQ0FAEBwfD1dUVJ06cwJYt\nW/DBBx9gxYoVXBxSBwB///vfce3aNZOnid5++22ulzHxwNvbG0OHDsXMmTMxffp0k+VSckHFoBUn\nT55EUVERAGD8+PHw9vZmHJH0BEHAf/7zH+Tk5ODYsWM4deoU65As8vxRzlOmTOFmatxYQUEBzp49\nC6ClrcLD00QbN27EmjVrAABqtRoRERHie6tXr1b8gZHNzc04deoUNBoNjh8/DhcXF/j5+WHKlCno\n0qUL6/AAUJuoVd7e3lwWAKDlEvzAgQMoLCxEXV0d4uLiEBsbyzosi+l0Oly6dElsm3Tq1Mnke6X3\nnYGWluWUKVMwbdo0lJWVoby8nIurujNnzohfZ2VlmRSDq1evsghJUh06dMCECRMwYcIENDY24sSJ\nE9BoNPjb3/6GMWPGYNOmTaxDpGJgTkFBARITE3H//n0IgsDNprOvvvoK+fn5GDhwIHx9fbF06VIE\nBgaKN8qVrm/fviaTng4ODuL3PPSdASA8PBxpaWl49OgRFi5cCGdnZ3F3g5IZNyh4b1Z06tQJb731\nFoYMGYKLFy+irKyMdUgAqBiYlZCQgOTkZPzmN79hHYqkvv/+ewwfPhxhYWGYMGECOnXqxNXuY973\n5wItH5Rdu3ZFeno6wsLCsGjRIsyZM4d1WBbT6/Woq6uDXq8XvzY+PZgH1dXVyM3NRW5uLhoaGuDn\n54ctW7bI5nOGioEZffr0kc0fkJSKiopw8uRJ5ObmYsOGDfD09IROp0NTU5N4XjyRN0EQoNVqkZOT\ng40bNwJo+SBVuudPDDa+WuXhB5bQ0FDU1NTAx8cHGzZsgLOzM+uQXkA3kI0YBkNKSkpw7949TJ06\n1eRZZzk8CyyVxsZGHD16FLm5uThz5gzGjh2r+FaDNSgpKcGOHTvg7u6O6Oho3Lp1C2q1GmvXrmUd\nGnmJ0tJSjB49WtaFjYqBESUcM9sW6uvrUVhYCH9/f9ahEEIYoWJg5Ntvv+Vi+MpaverkVSU/TWR4\n9HLx4sVm36eD3IilqBgY4XXnsbV42VCg0p8munDhApydnVFSUmL2fTrIjViKioERKgZECRobG1FW\nVgaVSoXBgwdzczy3Ac8nBt+7dw9fffUV7ty5g+3bt+PGjRvQarWyOEKeioGR4cOHm50G5GXOQAkn\nJ1qC9/wA4NixY4iPj8cbb7wBQRBQVVWF9evXY9KkSaxDkwTvJwYvXLgQgYGBSE5ORnZ2NpqamhAQ\nEICcnBzWodGjpcaGDRuGrKws1mG0GSWcnGgJ3vMDgC+++AI7d+7EoEGDALQs7omOjuamGPB6YrBB\nbW0tZsyYgW3btgEAbG1tTfY2sETFwIrw+jSUAe/5AUD37t3FQgAAAwcORPfu3RlGJC1eTww26Nat\nG2pra8X8zp07h9dee41xVC2oGBjh5Uz41qSmpr70/QULFrRTJG2D9/wAwNnZGYsWLYKvry9UKhXy\n8vIwcuRIsUWm9KsfX19fxMXF4dGjR9i7dy/27duH4OBg1mFJZvXq1ViyZAkqKysRGhqK2tpafP31\n16zDAkDFwERrj+3xgqfLbXN4zw9ouXns4OAg7kDu3bs3dDqd2CJTejGIiorCyZMn0b17d5SXl2P5\n8uVcHRg5YsQIfPvttygvL4cgCBg8eLBsDhmkG8iEENLGlPBwA10ZEKIAK1asENsJCQkJJstsIiMj\nsWPHDlahSYrXE4MNV27379+HVqvFmDFjAADFxcVwc3OjYiA31tBzJspUUVEhfv38EqIHDx60dzht\nhtcTgw0PN0RGRiI3Nxf9+vUDANy5c+eVx+C0FyoGRqyh50yU6WUHnMn58LP/L15PDDaorq4WCwHQ\nsnPj559/ZhjRr6gYGFm6dCnrENqFnKcgpcBjfk+ePMGlS5eg1+vx9OlTcYObIAh4+vQp6/AsZuip\nOzs7IyYmhtsTg8eOHYuoqCiTHdbjxo1jHFULuoFsheQ8BSkFHvN72blLgPIX+1jTicGHDh0Snwbz\n8PCQzQ5rujKwQnKegpQCj/kp/cP+VUaMGGE1Jwa7ubmhQ4cOUKlUGDVqFOtwRMr+F0L+J3KegpQC\n7/nxaN++faxDaBcajQZBQUHIz8/HwYMHERQUhLy8PNZhAaArA7N47Dkbk/MUpBR4z48oV3JyMtLT\n09GnTx8ALU+CzZ8/XxanH9A9AzN47Dk/r6mpSZZTkFLhPT/e8H5isMGsWbNMPkf0ej3mzJkji88W\nujIwg8eeM9D6FORPP/0EQPlPbPCeH894PzHYYPz48S88TTRx4kTGUbWgYmAGrz1nJUxBWoL3/Aye\nX8JES5mUIzY2FgUFBTh79iwAICQkRDZPE0EgL7hw4YIQEhIiuLu7CyEhIcK0adOEy5cvsw5LMgsW\nLBBqamrE72tqaoTIyEiGEUmL9/x49M9//pN1CO3il19+EZqamgRBEISbN28KhYWFQmNjI+OoWtCV\ngRlyPllQCnKegpQCz/k1NDSgS5cusLGxQXl5OcrKyjBx4kTF//3k/cRgg/DwcKSlpeHRo0dYuHAh\nnJ2dodFosGnTJtahUZvImLX0nOU8BSkFnvMz/jCJioqS1YcJeTVBENC1a1ekp6cjLCwMixYtwpw5\nc1iHBYCKgQlr6TnHxcWZTEHKqm8pAZ7zk/OHiSXu3r2Lvn37sg6jzQmCAK1Wi5ycHGzcuBFAyxNF\nckDFwIgSThaUilynIKXCa35y/jCxhL+/P4YOHYqZM2di+vTp6NGjB+uQ2sRf/vIXbN26FVOnTsXQ\noUNx69YteHl5sQ4LAM0ZmOXr64uDBw+K3+v1esycOdPkNSXTaDRISEiAp6cnBEHAmTNn8PHHH8ti\n8EUKPOdXWlqKlJQUuLu7Izo6Grdu3YJarcbatWtZh2aR5uZmnDp1ChqNBsePH4eLiwv8/PwwZcoU\ns/MHRHpUDMz461//ioqKCpOe86BBg7Bu3TrGkUlj9uzZSE1NfWEKMjs7m3Fk0uA1v+bmZiQmJiI2\nNpZ1KG2qsbERJ06cgEajQXFxMcaMGaP4eyIbN27EmjVrWr1Rnpyc3M4RvYjaRGbw3HMGWloNhg9K\nAOjVqxd4+pmA1/w6dOggPp/Os06dOuGtt97CkCFDcPHiRZSVlbEOyWKG+zqRkZGMI2kdFYNW8Npz\nBuQ9BSkFnvN75513sHjxYvj4+KBbt27i6zw83FBdXY3c3Fzk5uaioaEBfn5+2LJlCxfLbpydnQEA\nnp6eaGxsRFlZGVQqFQYPHmyyt4ElahOZwXPP2cB4CnL06NFcXfkA/ObX2oMMSj/vPzQ0FDU1NfDx\n8cHMmTPFD0/eHDt2DPHx8XjjjTcgCAKqqqqwfv16TJo0iXVoNIFszqxZs4R79+6J39+/f1+YNWsW\nw4ikJecpSCnwnh+PSkpKBL1ezzqMNjd9+nThp59+Er+vqKgQpk+fzjCiX1GbyAyB056zgZynIKXA\nc346nQ7p6em4fv06dDqd+LrSrww8PDxYh9AuunfvjkGDBonfDxw4EN27d2cY0a+UfxRnGzD0nDMy\nMpCRkYHo6Ghues7Ar4NLBQUFCAsLQ1JSEm7cuME6LMnwnN+qVatw9+5dFBUVwdPTEzU1NbL5MCGv\n5uzsjEWLFiEjIwOZmZlYvHgxRo4ciYKCglZPQGgvVAzMiI2NRUhICK5evYqrV68iJCQEq1atYh2W\nZASjwaX33nsPAB+DSwY851dZWYmYmBh07doVAQEB2Lp1K86fP886LPJfamxshIODA0pLS1FSUoLe\nvXtDp9Ph6NGj4gkIrFCbyIyGhgZMmTIF06ZNQ1lZGcrLy/Hs2TPFHwZmIOcpSCnwnJ+tbcs/2R49\neuDatWtwcHDA/fv3GUclHd63DMq6ncfyhoVcBQQECA0NDcLt27eF3/72t8KyZcuElStXsg6LEGHv\n3r3Cw4cPhZKSEmHy5MnCmDFjhN27d7MOSzJRUVFCbm6u+MDGs2fPBD8/P8ZRWW758uXi119++aXJ\newsWLGjvcMyiKwMzBE4PA1PCFKQleM8PgPgTsoeHBw4fPsw4GunxumWwoqJC/PrUqVMm7z148KC9\nwzGLioEZAqeHgSlhCtISPOfn5eWFUaNGwd3dHW5ubnBxcUHXrl1ZhyU5XrcMGvL5/77XnqgYmMFr\nz1kJU5CW4Dm/w4cP49y5c9Bqtdi2bRsuXrwIR0dHuLu7w93dHTNmzGAdoiRWr16NJUuWoLKyEqGh\noaitrcXXX3/NOiyLPXnyBJcuXYJer8fTp09x6dIlCIIAQRDw9OlT1uEBoAlkqyTrKUgJ8J4f0PKQ\nQ0ZGBtRqNaqqqnD58mXWIUmmqamJuy2D8+bNe+n7u3btaqdIWkfFwIg19JwBwMfHB1u3bhWHXyor\nKxEdHY28vDzGkUmDx/xqamqg1Wqh1Wrx448/AmhZz+rq6gpXV1c4OjoyjtAyr3rGnoezl+SO2kRG\neO45G5PzFKQUeMxv0qRJGD58OObPn4+PPvpI8W2v51nLlkE5oyuDVvDWczYWHx+Pn3/+Gb6+vlCp\nVMjLy8OAAQPEPcFK/4fHY35arVa8Z1BVVQVHR0fxqmDkyJHc/P2MjIzEF1988cKWwZSUFMaR8Y+K\ngRm895xftcJT1oMx/wXe8wOAqqoqHD16FDt37sTt27fF1pHS8b5lUM6oGJjBY8+ZKN/NmzfF+wY/\n/PADHj9+DBcXF7i7uyMqKop1eJLgfcugnCl/mqMN8NhzBoAVK1aIXyckJJi8x8N9Ep7z8/LyQkxM\nDM6fPw8PDw8kJyejqKgI//jHP7gpBEDLlsHQ0FBcuXIFV65cQUhICHeFICAg4KXfs0I3kM0wnCxo\n3HM2nCwIKLPnDChjCtISPOdXWFjIxfDVf4PnLYMAkJmZ+dLvWaErAzPkfLKgJZQwBWkJnvOzlkKg\n0WgQFBSE/Px8HDx4EEFBQVy1ZxsaGsTTDMrLy3H48GE8e/aMcVQt6MrADB5uMJqjhClIS/CenzVI\nTk5Genq6uFzqwYMHmD9/PjcrZ40XL0VFRclq8RIVAyMrVqwQR98TEhJMdhhERkZix44drEKTRN++\nfcVC5+DgYFL0HBwcWIUlGd7z0+v1yMvL4+boCXMEzrcMyvkQTCoGRnjuOQPyGHlvS7znZ2Njg+3b\nt3NdDAxbBo2fJuJty6BcD8GkYmCE554z4cO4ceOQkpKCGTNmmJxa2qtXL4ZRSSc2NhYFBQU4e/Ys\nACAkJATvv/8+46iks2bNGtkegknFwAj1nIncaTQaAEBaWpr4mkql4ma3Ac9bBpubm3HkyBGTM84G\nDhyItWvXMozqVzR0ZkQJJwsSwrPAwEDxBmtYWBicnZ3RsWNHWdxglUJwcDD27t3LOgyz6MrACH3Y\nEyW4du0abty4gcbGRvE1f39/hhFJR843WKXwzjvvYPHixfDx8UG3bt3E1+Uwu0RzBlZKrlOQUuE1\nv82bN2PDhg347LPPUFxcjISEBBw5coR1WJIxvsH63nvvAZDPDVYpNDY2wt7eHsXFxeLcklxml6hN\nRIiCzJo1C/v374e/vz+ys7Nx7949rFq1CqmpqaxDk0RJSQl27NgBd3d3REdH49atW1Cr1bLpq/OM\n2kRWqKGhAV26dIGNjQ3Ky8tRVlaGiRMncnGTDuA7v86dO8PGxga2traor69Hnz59UF1dzTosyXh6\nesLT01P8Xk43WKWg0+mQnp6O69evQ6fTia/LYdCVioEVkvMUpBR4zs/Z2RmPHj1CUFAQAgMD0a1b\nN7i5ubEOy2LWsmVw1apVGDJkCIqKivDnP/8ZOTk5GDJkCOuwAFAxaFVAQIDJAVLPf69kvN+k4zm/\nTz/9FAAQFhaGCRMmoL6+Hk5OTmyDkoC1bBmsrKxEUlISDh8+jICAAPj5+eH3v/8967AA0A3kVsn1\nZEEp8H6Tjuf8IiIixK9ff/11ODk5mbymVM7OzgBa2kSurq7o0aMHevbsCVdXV5O2kdLZ2rb8/N2j\nRw9cu3YNjx8/xv379xlH1YKuDMzguecMyHsKUgo85qfT6fDkyRPU1tairq5OPK+nvr4eNTU1jKOT\nDu9bBkNCQlBXV4eYmBgsWbIEDQ0NJns4WKKniczgefClubkZiYmJiI2NZR1Km+A1P7VaDbVajTt3\n7qB///5iMbCzs0NwcDDCw8MZRygN2jLIDl0ZmMFzz7lDhw7iuS884jW/iIgIREREYNeuXa+clFcy\nXrcMenl5YdSoUXB3d4ebmxtcXFxMzpaSAyoGZsj5ZEEpyHkKUgo85nf+/HkMGDBALARZWVnIz8+H\no6Mjli5dys1BdbxuGTx8+DDOnTsHrVaLbdu24eLFi3B0dIS7uzvc3d1lcRIttYnMKC0tRUpKCreD\nL5988onZ1+XwrLMUeMwvICAAqamp6NWrF0pLS/Hhhx9i3bp1uHz5MsrKypCUlMQ6REm09mdnoOQ/\nQ2MNDQ3IyMiAWq1GVVUVLl++zDokKgbP47XnTJRt9uzZyM7OBgCsX78evXv3xrJlywC0PJa5f/9+\nluGRV6ipqYFWq4VWq8WPP/4IABgxYgRcXV3h6uoKR0dHxhFSm+gFvPacjcl5ClIKPOan1+vR1NQE\nW1tbnD59Ghs2bBDfa25uZhiZNHjfMjhp0iQMHz4c8+fPx0cffYROnTqxDukFVAzM4LHnbEzOU5BS\n4DG/mTNnIjw8HPb29ujSpQtGjx4NoGU7n52dHePoLMf7lsHdu3fj3LlzKCwsxL/+9S84OjqKVwUj\nR46URXGgYmCG8cmCxngpBnKegpQCj/ktWbIEY8eOxd27d+Ht7S1u3tPr9Vi3bh3j6CzH+5ZBNzc3\nuLm5YcGCBQCAqqoqHD16FKtXr8bt27fF1hFLVAzMUHI74b/x/BSkg4ODbKYgpcBrfq6uri+8Nnjw\nYAaRSM8atgzevHlTvG/www8/4PHjx3BxcUFoaCjr0ADQDWSzeOw5G/v+++8xbdo0XLt2DatXrxan\nIOXyl9JSvOfHI963DHp5eaFfv35wc3MTZw2M5ynkgIqBGcuXL8eQIUNw4MABk54zL4+WEkLa1+PH\nj/Haa6+xDuOlqE1kBo89Z0AZU5CW4D0/olxyLwQAFQOzeO05K2EK0hK850dIW6I2kRnW0nOW4xSk\nlHjPjyiLXq9HXl6ebH8ooWJgRZQwBWkJ3vMjyhcYGIiMjAzWYZhFxcAI7z1nJycncQrSx8dHFoMu\nUuI9P2vB85bBxMRE2NvbY8aMGSafLXI4aJCKgZH6+nqx56zVarnrOWu1WjG/qqoqWU5BWoL3/Ijy\nTZ48+YXXVCoVDh8+zCCa5+KgYtA63nvOhinInTt3ymYKUkq858cj3rcMyhkVAyPW0HNubQrS3d0d\nUVFRrMOzGO/58Y7nLYMG165dw40bN9DY2Ci+5u/vzzCiFvRoqRElnCxoCeMpSA8PD0RHR8tuCtIS\nvOdnDXjeMggAmzdvRnFxMW7evIlJkybhxIkTePfdd6kYyI0STha0RGFhoSKGX/5XvOdnDXjfMpif\nn4/9+/fD398fn3/+Oe7du2dyXDdLVAyMKOFkQUvw/kHJe37WYM2aNdi6dSumTp2KoUOH4tatW/Dy\n8mIdlmQ6d+4MGxsb2Nraor6+Hn369EF1dTXrsABQMXiB3E8WJIRXzc3NOHLkCJKTk8XXBg4cyNWZ\nYM7Oznj06BGCgoIQGBiIbt26wc3NjXVYAOgGsgklnCxoKblPQVqK9/x4FxwcjL1797IOo11UVVWh\nvr4eTk5OrEMBQMXAhBJOFpSCnKcgpcB7fjyLj49HTU0Nt1sGIyIioFarX/kaC9QmMmINhQAAxo0b\nh5SUFFlOQUqB9/x4xuuWQZ1OhydPnqC2thZ1dXUw/AxeX1+PmpoaxtG1oCsDKyTnKUgp8J4fUR61\nWg21Wo07d+6gf//+YjGws7NDcHAwwsPDGUdIxeAF1HMmhB3etwzu2rXrlVvdWKE20XNsbGywfft2\n7ouBXKcgpcJ7frxatWoVhgwZgqKiIpMtg0p3/vx5DBgwQCwEWVlZyM/Ph6OjI5YuXSqLFqYN6wDk\nyNBzrq6uxsOHD8X/8WLz5s3YsGEDPvvsMxQXFyMhIQFHjhxhHZZkeM+PZ5WVlYiJiUHXrl0REBCA\nrVu34vz586zDslh8fLx4vlJpaSkSExPh7+8POzs7xMXFMY6uBV0ZmKHRaAAAaWlp4ms89ZzlPAUp\nBd7z4xmvWwabm5vFn/41Gg1CQkIwffp0TJ8+XTbHbVAxMIP3nyLlPAUpBd7z41lISAjq6uoQExOD\nJUuWiFsGlU6v16OpqQm2trY4ffo0NmzYIL7X3NzMMLJfUTFoBc89ZzlPQUqB9/x4FhQUBADw8PDg\n5kocAGbOnInw8HDY29ujS5cuGD16NACgoqICdnZ2jKNrQU8TmdHayYJJSUmsQ5Oc3KYgpcZ7frzg\nfcsgAJw7dw53796Ft7e3OFBXXl6OhoYGjBgxgnF0VAzMmjVrlthzzs7OFnvOqamprEOThJynIKXA\ne3484n3LoBJQm8gMXnvOSpiCtATv+fHMzs4O48ePx/jx4wGYbhlMS0ujYtAOqBiYwWvPec+egiTs\nAQAABVhJREFUPeIUZGBgoMkUpBwmIC3Fe348a23LYExMDFxdXRlHZx2oTfQKPPac5TwFKQXe8+OR\nk5OTuGXQx8dH8YuklIiKgRm89pwNU5B9+/YFIM8pSEvwnh/PtFqteM+gqqqKuy2DSkATyEZ0Oh0e\nPnwo9pwNk8dVVVVc9JyVMAVpCd7z45lhw2BSUhIyMjIQGxuLTp06YfXq1Xj33XdZh2cV6J6BEd57\nzkqYgrQE7/nxjrYMskXFwEhERAQiIiK47TkrYQrSErznxzPjLYMeHh6Ijo7mbsug3FExMKKEkwUt\noYQpSEvwnh/PCgsLrWa5lFzRDWQjAQEBSE1NRa9evVBaWooPP/wQ69atw+XLl1FWVsbFBLLcpyAt\nxXt+hLQVujIwYg09Z3PPbA8ePJhBJG2D9/wIaSv0NJERQ88ZAE6fPo0xY8aI71HPmZC2pdfrxePj\nSfujKwMj1HMmhB1r2TIoV3TP4DnUcyaEncTERNjb22PGjBkmp5Yq/eENJaBiQAiRjcmTJ7/wGk9b\nBuWMigEhhBC6Z0AIkReetwzKGRUDQohstLZlkIpB26NHSwkhspGfnw+1Wg0HBwd8/vnn2L9/Px4/\nfsw6LKtAxYAQIhu8bhlUAmoTEUJkg9ctg0pATxMRQmSJxy2DckZtIkKIbERERIhfv/7663BycjJ5\njbQdahMRQpjT6XR48uSJuGXQ0LCor6/nYsugElAxIIQwx/uWQSWgewaEENngdcugElAxIIQwZ9gy\n2LdvXwD8bRlUArqBTAhhLj4+Hh07dgQAlJaWIjExEf7+/rCzs0NcXBzj6KwDFQNCCHOtbRmMiYlB\nRUUF4+isAxUDQghztGWQPXqaiBDCHG0ZZI9uIBNCZIG2DLJFxYAQQgjdMyCEEELFgBBCCKgYEEII\nARUDQkxMnjwZEyZMgPGttIyMDDg5OSEtLQ0AcObMGfzud7+Dj48P3n//faxZs0bcxvXpp59i06ZN\nL/x3582bh6ysLJSUlGDu3Lni605OTpgzZw4CAgLg7++PgIAA8RFLQtoTFQNCntOvXz/8+9//Fr/P\nzMwUn2aprKzEsmXLsHLlSuTl5eHQoUOws7PD8uXLAQBz585Fdna2STG5desWrly5Al9fXwCASqUS\n31OpVPjuu++QmZmJrKwsZGZmwtaWnvgm7Y+KASHPCQwMREZGBoCWD/InT55g2LBhAIDk5GQEBQWJ\nz8EDwKpVq1BeXo6zZ89i5MiR6NmzJ4qKisT3MzMz4evri86dO7/wewmCAHqgj8gBFQNCjKhUKnh6\neuL69et4/PgxsrKyEBAQIL5/9epVuLi4mPx/bG1tMXz4cFy5cgVASzHZt28fgJYP+6ysLHzwwQet\n/p6hoaFim+hPf/pTG2RFyKvR9SghRgRBgEqlgq+vLw4cOACNRoM9e/bgwoUL//V/Y/bs2fjmm2/w\n6NEjXLhwAd26dcOoUaNa/fXfffcdunTpIkX4hPzP6MqAEDPmzJmDpKQkDBs2DD179hRfd3Jywrlz\n50x+bVNTEy5duoS3334bANC7d294e3sjJycHGRkZCAwMbPX3UalU1CYiskDFgBAzBg4ciJUrV2LJ\nkiUmry9atAjp6ek4c+YMgJYD1r788ku8+eabJvcR5s6di927d+P48ePw9/dv9fehQkDkgtpEhBgx\nftInKCjohffffPNNfPPNN0hMTMTDhw/R1NQEDw8PJCUlmfy6CRMmIC4uDl5eXujdu/dLf7/Q0FDY\n2NiILapt27aJS14IaS90NhEhhBBqExFCCKFiQAghBFQMCCGEgIoBIYQQUDEghBACKgaEEEJAxYAQ\nQgiA/wMaAYQ++Zj4IQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f33af482160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax3 =  df_rank_male.plot.bar(x = \"MOVIE\", y = 'RANKING', legend = False)\n",
    "ax3.set_title(\"Star Wars Movie Ranking of Male Fans\")\n",
    "ax3.set_ylabel(\"Ranking\")\n",
    "ax3.set_axis_bgcolor('w')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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z0dSpU9Hr9UycOJEbN25w9OhRZs2aZelsQgghiskDi8H169e5c+cO2dnZVK1a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\nszW6HB8BENsAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f33af503208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax4 =  df_rank_female.plot.bar(x = \"MOVIE\", y = 'RANKING', legend = False)\n",
    "ax4.set_title(\"Star Wars Movie Ranking of Female Fans\")\n",
    "ax4.set_ylabel(\"Ranking\")\n",
    "ax4.set_axis_bgcolor('w')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the ranking b/t Males and Females, it seems that males have a lower degree of favorability in the newer movies as compared to female fans. Nevertheless, the newer movies were generally poorly received compared to originals. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "seen_1    361\n",
       "seen_2    323\n",
       "seen_3    317\n",
       "seen_4    342\n",
       "seen_5    392\n",
       "seen_6    387\n",
       "dtype: int64"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round(star_wars_males[star_wars_males.columns[3:9]].sum(), 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "seen_1    298\n",
       "seen_2    237\n",
       "seen_3    222\n",
       "seen_4    255\n",
       "seen_5    353\n",
       "seen_6    338\n",
       "dtype: int64"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round(star_wars_females[star_wars_females.columns[3:9]].sum(), 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_view_male = pd.DataFrame({'MOVIE': [\"Star Wars: Episode I The Phantom Menace\", \n",
    "                         \"Star Wars: Episode II Attack of the Clones\",\n",
    "                         \"Star Wars: Episode III Revenge of the Sith\",\n",
    "                         \"Star Wars: Episode IV A New Hope\",\n",
    "                         \"Star Wars: Episode V The Empire Strikes Back\",\n",
    "                         \"Star Wars: Episode VI Return of the Jedi\"], \n",
    "                         'VIEWS': [361,323,317,342,392,387]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_view_female = pd.DataFrame({'MOVIE': [\"Star Wars: Episode I The Phantom Menace\", \n",
    "                         \"Star Wars: Episode II Attack of the Clones\",\n",
    "                         \"Star Wars: Episode III Revenge of the Sith\",\n",
    "                         \"Star Wars: Episode IV A New Hope\",\n",
    "                         \"Star Wars: Episode V The Empire Strikes Back\",\n",
    "                         \"Star Wars: Episode VI Return of the Jedi\"], \n",
    "                         'VIEWS': [298,237,222,255,353,338]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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iY2PDkCFDGDlyJDk5OUyZMoX09HRcXFxYtmwZ9vb2AERERLBp0yZsbW2ZM2cO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\nA8Xtz4ZHiqg3AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f33af4f1470>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax5 =  df_view_male.plot.bar(x = \"MOVIE\", y = 'VIEWS', legend = False)\n",
    "ax5.set_title(\"Star Wars Movie Viewership of Male Fans\")\n",
    "ax5.set_ylabel(\"Num of Views\")\n",
    "ax5.set_axis_bgcolor('w')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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BrFu3juPHj5Ofn8/ChQtp166d8aj4n+rTpw87d+5k7969FBcXc/36dX799VfjvnEvcnNz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\ngg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f33af384320>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax6 =  df_view_female.plot.bar(x = \"MOVIE\", y = 'VIEWS', legend = False)\n",
    "ax6.set_title(\"Star Wars Movie Viewership of Female Fans\")\n",
    "ax6.set_ylabel(\"Num of Views\")\n",
    "ax6.set_axis_bgcolor('w')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In terms of viewership, male fans appear to have had viewed each of the Star Wars movie whilst female fans were more likely to have seen the earlier version than the newer movie. In fact, there is a noted trend of declining viewership with each movie released amongst female audience. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## (B) Star Wars Fans vs. Casuals"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "fan = star_wars[star_wars['Do you consider yourself to be a fan of the Star Wars film franchise?'] == True]\n",
    "non_fan = star_wars[star_wars['Do you consider yourself to be a fan of the Star Wars film franchise?'] == False]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "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>RespondentID</th>\n",
       "      <th>Have you seen any of the 6 films in the Star Wars franchise?</th>\n",
       "      <th>Do you consider yourself to be a fan of the Star Wars film franchise?</th>\n",
       "      <th>seen_1</th>\n",
       "      <th>seen_2</th>\n",
       "      <th>seen_3</th>\n",
       "      <th>seen_4</th>\n",
       "      <th>seen_5</th>\n",
       "      <th>seen_6</th>\n",
       "      <th>Star Wars: Episode I The Phantom Menace</th>\n",
       "      <th>...</th>\n",
       "      <th>Unnamed: 28</th>\n",
       "      <th>Which character shot first?</th>\n",
       "      <th>Are you familiar with the Expanded Universe?</th>\n",
       "      <th>Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦</th>\n",
       "      <th>Do you consider yourself to be a fan of the Star Trek franchise?</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Household Income</th>\n",
       "      <th>Education</th>\n",
       "      <th>Location (Census Region)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>5.520000e+02</td>\n",
       "      <td>552</td>\n",
       "      <td>552</td>\n",
       "      <td>552</td>\n",
       "      <td>552</td>\n",
       "      <td>552</td>\n",
       "      <td>552</td>\n",
       "      <td>552</td>\n",
       "      <td>552</td>\n",
       "      <td>552.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>549</td>\n",
       "      <td>545</td>\n",
       "      <td>545</td>\n",
       "      <td>185</td>\n",
       "      <td>545</td>\n",
       "      <td>541</td>\n",
       "      <td>541</td>\n",
       "      <td>435</td>\n",
       "      <td>539</td>\n",
       "      <td>541</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Very favorably</td>\n",
       "      <td>Han</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Male</td>\n",
       "      <td>45-60</td>\n",
       "      <td>$50,000 - $99,999</td>\n",
       "      <td>Bachelor degree</td>\n",
       "      <td>South Atlantic</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>NaN</td>\n",
       "      <td>552</td>\n",
       "      <td>552</td>\n",
       "      <td>500</td>\n",
       "      <td>463</td>\n",
       "      <td>450</td>\n",
       "      <td>483</td>\n",
       "      <td>538</td>\n",
       "      <td>537</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>455</td>\n",
       "      <td>268</td>\n",
       "      <td>360</td>\n",
       "      <td>93</td>\n",
       "      <td>370</td>\n",
       "      <td>303</td>\n",
       "      <td>154</td>\n",
       "      <td>156</td>\n",
       "      <td>172</td>\n",
       "      <td>88</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.290214e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.141304</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.094407e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.550703</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.288373e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.289533e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.290206e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.290856e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3.292880e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        RespondentID  \\\n",
       "count   5.520000e+02   \n",
       "unique           NaN   \n",
       "top              NaN   \n",
       "freq             NaN   \n",
       "mean    3.290214e+09   \n",
       "std     1.094407e+06   \n",
       "min     3.288373e+09   \n",
       "25%     3.289533e+09   \n",
       "50%     3.290206e+09   \n",
       "75%     3.290856e+09   \n",
       "max     3.292880e+09   \n",
       "\n",
       "       Have you seen any of the 6 films in the Star Wars franchise?  \\\n",
       "count                                                 552             \n",
       "unique                                                  1             \n",
       "top                                                  True             \n",
       "freq                                                  552             \n",
       "mean                                                  NaN             \n",
       "std                                                   NaN             \n",
       "min                                                   NaN             \n",
       "25%                                                   NaN             \n",
       "50%                                                   NaN             \n",
       "75%                                                   NaN             \n",
       "max                                                   NaN             \n",
       "\n",
       "       Do you consider yourself to be a fan of the Star Wars film franchise?  \\\n",
       "count                                                 552                      \n",
       "unique                                                  1                      \n",
       "top                                                  True                      \n",
       "freq                                                  552                      \n",
       "mean                                                  NaN                      \n",
       "std                                                   NaN                      \n",
       "min                                                   NaN                      \n",
       "25%                                                   NaN                      \n",
       "50%                                                   NaN                      \n",
       "75%                                                   NaN                      \n",
       "max                                                   NaN                      \n",
       "\n",
       "       seen_1 seen_2 seen_3 seen_4 seen_5 seen_6  \\\n",
       "count     552    552    552    552    552    552   \n",
       "unique      2      2      2      2      2      2   \n",
       "top      True   True   True   True   True   True   \n",
       "freq      500    463    450    483    538    537   \n",
       "mean      NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "std       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "min       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "25%       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "50%       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "75%       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "max       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "\n",
       "        Star Wars: Episode I The Phantom Menace           ...             \\\n",
       "count                                552.000000           ...              \n",
       "unique                                      NaN           ...              \n",
       "top                                         NaN           ...              \n",
       "freq                                        NaN           ...              \n",
       "mean                                   4.141304           ...              \n",
       "std                                    1.550703           ...              \n",
       "min                                    1.000000           ...              \n",
       "25%                                    3.000000           ...              \n",
       "50%                                    4.000000           ...              \n",
       "75%                                    6.000000           ...              \n",
       "max                                    6.000000           ...              \n",
       "\n",
       "           Unnamed: 28  Which character shot first?  \\\n",
       "count              549                          545   \n",
       "unique               6                            3   \n",
       "top     Very favorably                          Han   \n",
       "freq               455                          268   \n",
       "mean               NaN                          NaN   \n",
       "std                NaN                          NaN   \n",
       "min                NaN                          NaN   \n",
       "25%                NaN                          NaN   \n",
       "50%                NaN                          NaN   \n",
       "75%                NaN                          NaN   \n",
       "max                NaN                          NaN   \n",
       "\n",
       "        Are you familiar with the Expanded Universe?  \\\n",
       "count                                            545   \n",
       "unique                                             2   \n",
       "top                                               No   \n",
       "freq                                             360   \n",
       "mean                                             NaN   \n",
       "std                                              NaN   \n",
       "min                                              NaN   \n",
       "25%                                              NaN   \n",
       "50%                                              NaN   \n",
       "75%                                              NaN   \n",
       "max                                              NaN   \n",
       "\n",
       "        Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦  \\\n",
       "count                                                 185                    \n",
       "unique                                                  2                    \n",
       "top                                                   Yes                    \n",
       "freq                                                   93                    \n",
       "mean                                                  NaN                    \n",
       "std                                                   NaN                    \n",
       "min                                                   NaN                    \n",
       "25%                                                   NaN                    \n",
       "50%                                                   NaN                    \n",
       "75%                                                   NaN                    \n",
       "max                                                   NaN                    \n",
       "\n",
       "        Do you consider yourself to be a fan of the Star Trek franchise?  \\\n",
       "count                                                 545                  \n",
       "unique                                                  2                  \n",
       "top                                                   Yes                  \n",
       "freq                                                  370                  \n",
       "mean                                                  NaN                  \n",
       "std                                                   NaN                  \n",
       "min                                                   NaN                  \n",
       "25%                                                   NaN                  \n",
       "50%                                                   NaN                  \n",
       "75%                                                   NaN                  \n",
       "max                                                   NaN                  \n",
       "\n",
       "       Gender    Age   Household Income        Education  \\\n",
       "count     541    541                435              539   \n",
       "unique      2      4                  5                5   \n",
       "top      Male  45-60  $50,000 - $99,999  Bachelor degree   \n",
       "freq      303    154                156              172   \n",
       "mean      NaN    NaN                NaN              NaN   \n",
       "std       NaN    NaN                NaN              NaN   \n",
       "min       NaN    NaN                NaN              NaN   \n",
       "25%       NaN    NaN                NaN              NaN   \n",
       "50%       NaN    NaN                NaN              NaN   \n",
       "75%       NaN    NaN                NaN              NaN   \n",
       "max       NaN    NaN                NaN              NaN   \n",
       "\n",
       "       Location (Census Region)  \n",
       "count                       541  \n",
       "unique                        9  \n",
       "top              South Atlantic  \n",
       "freq                         88  \n",
       "mean                        NaN  \n",
       "std                         NaN  \n",
       "min                         NaN  \n",
       "25%                         NaN  \n",
       "50%                         NaN  \n",
       "75%                         NaN  \n",
       "max                         NaN  \n",
       "\n",
       "[11 rows x 38 columns]"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "fan.describe(include = 'all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "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>RespondentID</th>\n",
       "      <th>Have you seen any of the 6 films in the Star Wars franchise?</th>\n",
       "      <th>Do you consider yourself to be a fan of the Star Wars film franchise?</th>\n",
       "      <th>seen_1</th>\n",
       "      <th>seen_2</th>\n",
       "      <th>seen_3</th>\n",
       "      <th>seen_4</th>\n",
       "      <th>seen_5</th>\n",
       "      <th>seen_6</th>\n",
       "      <th>Star Wars: Episode I The Phantom Menace</th>\n",
       "      <th>...</th>\n",
       "      <th>Unnamed: 28</th>\n",
       "      <th>Which character shot first?</th>\n",
       "      <th>Are you familiar with the Expanded Universe?</th>\n",
       "      <th>Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦</th>\n",
       "      <th>Do you consider yourself to be a fan of the Star Trek franchise?</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Household Income</th>\n",
       "      <th>Education</th>\n",
       "      <th>Location (Census Region)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>2.840000e+02</td>\n",
       "      <td>284</td>\n",
       "      <td>284</td>\n",
       "      <td>284</td>\n",
       "      <td>284</td>\n",
       "      <td>284</td>\n",
       "      <td>284</td>\n",
       "      <td>284</td>\n",
       "      <td>284</td>\n",
       "      <td>283.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>277</td>\n",
       "      <td>283</td>\n",
       "      <td>283</td>\n",
       "      <td>28</td>\n",
       "      <td>283</td>\n",
       "      <td>279</td>\n",
       "      <td>279</td>\n",
       "      <td>240</td>\n",
       "      <td>277</td>\n",
       "      <td>277</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>NaN</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>Very favorably</td>\n",
       "      <td>I don't understand this question</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Female</td>\n",
       "      <td>45-60</td>\n",
       "      <td>$50,000 - $99,999</td>\n",
       "      <td>Bachelor degree</td>\n",
       "      <td>Pacific</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>NaN</td>\n",
       "      <td>284</td>\n",
       "      <td>284</td>\n",
       "      <td>173</td>\n",
       "      <td>176</td>\n",
       "      <td>184</td>\n",
       "      <td>160</td>\n",
       "      <td>220</td>\n",
       "      <td>201</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>150</td>\n",
       "      <td>180</td>\n",
       "      <td>255</td>\n",
       "      <td>22</td>\n",
       "      <td>238</td>\n",
       "      <td>159</td>\n",
       "      <td>86</td>\n",
       "      <td>82</td>\n",
       "      <td>90</td>\n",
       "      <td>60</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.290108e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.936396</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.053006e+06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.565197</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>3.288373e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.289391e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.290199e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.290838e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>3.292765e+09</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>11 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        RespondentID  \\\n",
       "count   2.840000e+02   \n",
       "unique           NaN   \n",
       "top              NaN   \n",
       "freq             NaN   \n",
       "mean    3.290108e+09   \n",
       "std     1.053006e+06   \n",
       "min     3.288373e+09   \n",
       "25%     3.289391e+09   \n",
       "50%     3.290199e+09   \n",
       "75%     3.290838e+09   \n",
       "max     3.292765e+09   \n",
       "\n",
       "       Have you seen any of the 6 films in the Star Wars franchise?  \\\n",
       "count                                                 284             \n",
       "unique                                                  1             \n",
       "top                                                  True             \n",
       "freq                                                  284             \n",
       "mean                                                  NaN             \n",
       "std                                                   NaN             \n",
       "min                                                   NaN             \n",
       "25%                                                   NaN             \n",
       "50%                                                   NaN             \n",
       "75%                                                   NaN             \n",
       "max                                                   NaN             \n",
       "\n",
       "       Do you consider yourself to be a fan of the Star Wars film franchise?  \\\n",
       "count                                                 284                      \n",
       "unique                                                  1                      \n",
       "top                                                 False                      \n",
       "freq                                                  284                      \n",
       "mean                                                  NaN                      \n",
       "std                                                   NaN                      \n",
       "min                                                   NaN                      \n",
       "25%                                                   NaN                      \n",
       "50%                                                   NaN                      \n",
       "75%                                                   NaN                      \n",
       "max                                                   NaN                      \n",
       "\n",
       "       seen_1 seen_2 seen_3 seen_4 seen_5 seen_6  \\\n",
       "count     284    284    284    284    284    284   \n",
       "unique      2      2      2      2      2      2   \n",
       "top      True  False  False  False   True   True   \n",
       "freq      173    176    184    160    220    201   \n",
       "mean      NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "std       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "min       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "25%       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "50%       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "75%       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "max       NaN    NaN    NaN    NaN    NaN    NaN   \n",
       "\n",
       "        Star Wars: Episode I The Phantom Menace           ...             \\\n",
       "count                                283.000000           ...              \n",
       "unique                                      NaN           ...              \n",
       "top                                         NaN           ...              \n",
       "freq                                        NaN           ...              \n",
       "mean                                   2.936396           ...              \n",
       "std                                    1.565197           ...              \n",
       "min                                    1.000000           ...              \n",
       "25%                                    1.000000           ...              \n",
       "50%                                    3.000000           ...              \n",
       "75%                                    4.000000           ...              \n",
       "max                                    6.000000           ...              \n",
       "\n",
       "           Unnamed: 28       Which character shot first?  \\\n",
       "count              277                               283   \n",
       "unique               6                                 3   \n",
       "top     Very favorably  I don't understand this question   \n",
       "freq               150                               180   \n",
       "mean               NaN                               NaN   \n",
       "std                NaN                               NaN   \n",
       "min                NaN                               NaN   \n",
       "25%                NaN                               NaN   \n",
       "50%                NaN                               NaN   \n",
       "75%                NaN                               NaN   \n",
       "max                NaN                               NaN   \n",
       "\n",
       "        Are you familiar with the Expanded Universe?  \\\n",
       "count                                            283   \n",
       "unique                                             2   \n",
       "top                                               No   \n",
       "freq                                             255   \n",
       "mean                                             NaN   \n",
       "std                                              NaN   \n",
       "min                                              NaN   \n",
       "25%                                              NaN   \n",
       "50%                                              NaN   \n",
       "75%                                              NaN   \n",
       "max                                              NaN   \n",
       "\n",
       "        Do you consider yourself to be a fan of the Expanded Universe?ÂÃ¦  \\\n",
       "count                                                  28                    \n",
       "unique                                                  2                    \n",
       "top                                                    No                    \n",
       "freq                                                   22                    \n",
       "mean                                                  NaN                    \n",
       "std                                                   NaN                    \n",
       "min                                                   NaN                    \n",
       "25%                                                   NaN                    \n",
       "50%                                                   NaN                    \n",
       "75%                                                   NaN                    \n",
       "max                                                   NaN                    \n",
       "\n",
       "        Do you consider yourself to be a fan of the Star Trek franchise?  \\\n",
       "count                                                 283                  \n",
       "unique                                                  2                  \n",
       "top                                                    No                  \n",
       "freq                                                  238                  \n",
       "mean                                                  NaN                  \n",
       "std                                                   NaN                  \n",
       "min                                                   NaN                  \n",
       "25%                                                   NaN                  \n",
       "50%                                                   NaN                  \n",
       "75%                                                   NaN                  \n",
       "max                                                   NaN                  \n",
       "\n",
       "        Gender    Age   Household Income        Education  \\\n",
       "count      279    279                240              277   \n",
       "unique       2      4                  5                4   \n",
       "top     Female  45-60  $50,000 - $99,999  Bachelor degree   \n",
       "freq       159     86                 82               90   \n",
       "mean       NaN    NaN                NaN              NaN   \n",
       "std        NaN    NaN                NaN              NaN   \n",
       "min        NaN    NaN                NaN              NaN   \n",
       "25%        NaN    NaN                NaN              NaN   \n",
       "50%        NaN    NaN                NaN              NaN   \n",
       "75%        NaN    NaN                NaN              NaN   \n",
       "max        NaN    NaN                NaN              NaN   \n",
       "\n",
       "       Location (Census Region)  \n",
       "count                       277  \n",
       "unique                        9  \n",
       "top                     Pacific  \n",
       "freq                         60  \n",
       "mean                        NaN  \n",
       "std                         NaN  \n",
       "min                         NaN  \n",
       "25%                         NaN  \n",
       "50%                         NaN  \n",
       "75%                         NaN  \n",
       "max                         NaN  \n",
       "\n",
       "[11 rows x 38 columns]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "non_fan.describe(include = 'all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Star Wars: Episode I The Phantom Menace         4.141\n",
       "Star Wars: Episode II Attack of the Clones      4.342\n",
       "Star Wars: Episode III Revenge of the Sith      4.417\n",
       "Star Wars: Episode IV A New Hope                2.933\n",
       "Star Wars: Episode V The Empire Strikes Back    2.333\n",
       "Star Wars: Episode VI Return of the Jedi        2.830\n",
       "dtype: float64"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Fans Only\n",
    "\n",
    "round(fan[fan.columns[9:15]].mean(), 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Star Wars: Episode I The Phantom Menace         2.936\n",
       "Star Wars: Episode II Attack of the Clones      3.592\n",
       "Star Wars: Episode III Revenge of the Sith      4.194\n",
       "Star Wars: Episode IV A New Hope                3.933\n",
       "Star Wars: Episode V The Empire Strikes Back    2.863\n",
       "Star Wars: Episode VI Return of the Jedi        3.472\n",
       "dtype: float64"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Non-Fans Only\n",
    "round(non_fan[non_fan.columns[9:15]].mean(), 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_rank_fan = pd.DataFrame({'MOVIE': [\"Star Wars: Episode I The Phantom Menace\", \n",
    "                         \"Star Wars: Episode II Attack of the Clones\",\n",
    "                         \"Star Wars: Episode III Revenge of the Sith\",\n",
    "                         \"Star Wars: Episode IV A New Hope\",\n",
    "                         \"Star Wars: Episode V The Empire Strikes Back\",\n",
    "                         \"Star Wars: Episode VI Return of the Jedi\"], \n",
    "                         'RANKING': [4.141,4.342,4.417,2.933,2.333,2.830]})\n",
    "\n",
    "df_rank_nonfan = pd.DataFrame({'MOVIE': [\"Star Wars: Episode I The Phantom Menace\", \n",
    "                         \"Star Wars: Episode II Attack of the Clones\",\n",
    "                         \"Star Wars: Episode III Revenge of the Sith\",\n",
    "                         \"Star Wars: Episode IV A New Hope\",\n",
    "                         \"Star Wars: Episode V The Empire Strikes Back\",\n",
    "                         \"Star Wars: Episode VI Return of the Jedi\"], \n",
    "                         'RANKING': [2.936,3.592,4.194,3.933,2.863,3.472]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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SkJaWhvXr18PDw0MjU1FOnDiBI0eO4NGjRwCefgu/dOmS9AFtYWGhcWI7JycHlSpVQu3a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\nQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f33af217550>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax7 =  df_rank_fan.plot.bar(x = \"MOVIE\", y = 'RANKING', legend = False)\n",
    "ax7.set_title(\"Star Wars Movie Ranking of Star Wars Fans\")\n",
    "ax7.set_ylabel(\"Ranking\")\n",
    "ax7.set_axis_bgcolor('w')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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YTJs2DcuWLUP//v1L9FoKAD/99JPBghERUcUpsxgU3RswY8aMCglDRETyKLMY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\nAfB/FwgXky114coAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f33af302be0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax8 =  df_rank_nonfan.plot.bar(x = \"MOVIE\", y = 'RANKING', legend = False)\n",
    "ax8.set_title(\"Star Wars Movie Ranking of Star Wars Casuals\")\n",
    "ax8.set_ylabel(\"Ranking\")\n",
    "ax8.set_axis_bgcolor('w')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at the rankings b/t Star Wars Fans and Casuals, the Fans appear to have held the original trilogy in higher regard than the prequal trilogy compared to that of the casuals that viewed only the Empire Strike Back and Phantom Menace in high regard. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "seen_1    500\n",
       "seen_2    463\n",
       "seen_3    450\n",
       "seen_4    483\n",
       "seen_5    538\n",
       "seen_6    537\n",
       "dtype: int64"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round(fan[fan.columns[3:9]].sum(), 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "seen_1    173\n",
       "seen_2    108\n",
       "seen_3    100\n",
       "seen_4    124\n",
       "seen_5    220\n",
       "seen_6    201\n",
       "dtype: int64"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "round(non_fan[non_fan.columns[3:9]].sum(), 3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df_view_fan = pd.DataFrame({'MOVIE': [\"Star Wars: Episode I The Phantom Menace\", \n",
    "                         \"Star Wars: Episode II Attack of the Clones\",\n",
    "                         \"Star Wars: Episode III Revenge of the Sith\",\n",
    "                         \"Star Wars: Episode IV A New Hope\",\n",
    "                         \"Star Wars: Episode V The Empire Strikes Back\",\n",
    "                         \"Star Wars: Episode VI Return of the Jedi\"], \n",
    "                         'VIEWS': [500,463,450,483,538,537]})\n",
    "\n",
    "df_view_nonfan = pd.DataFrame({'MOVIE': [\"Star Wars: Episode I The Phantom Menace\", \n",
    "                         \"Star Wars: Episode II Attack of the Clones\",\n",
    "                         \"Star Wars: Episode III Revenge of the Sith\",\n",
    "                         \"Star Wars: Episode IV A New Hope\",\n",
    "                         \"Star Wars: Episode V The Empire Strikes Back\",\n",
    "                         \"Star Wars: Episode VI Return of the Jedi\"], \n",
    "                         'VIEWS': [173,108,100,124,220,201]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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QWh/n6+sLX1/f114/IYQQ9VB5xGBvbw93d3fExcXB3t4eL168gI4OnTBNCCHa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\nAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f33af4d4ef0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax9 =  df_view_fan.plot.bar(x = \"MOVIE\", y = 'VIEWS', legend = False)\n",
    "ax9.set_title(\"Star Wars Movie Viewership amongst Star Wars Fans\")\n",
    "ax9.set_ylabel(\"Num of Views\")\n",
    "ax9.set_axis_bgcolor('w')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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j5abFxsbC2dkZYrEYxsbGaNeuHRISEiq1HkIIIcqnsEDo6elh8ODB8PLywqBB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\nAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f33af157b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ax10 =  df_view_nonfan.plot.bar(x = \"MOVIE\", y = 'VIEWS', legend = False)\n",
    "ax10.set_title(\"Star Wars Movie Viewership amongst Star Wars Casuals\")\n",
    "ax10.set_ylabel(\"Num of Views\")\n",
    "ax10.set_axis_bgcolor('w')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Comparing between movies, the Star Wars Fans all seem to have at least watched every movie whilst the casuals appeared to have disproportinately viewed either the later parts of the original trilogy or the Phantom Menace. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.4.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}