analysis.ipynb

{
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  {
   "cell_type": "code",
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    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/dan/miniconda3/lib/python3.6/site-packages/IPython/core/interactiveshell.py:3020: DtypeWarning: Columns (8,12,13,14,15,16,50,51,52,53,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128) have mixed types. Specify dtype option on import or set low_memory=False.\n",
      "  interactivity=interactivity, compiler=compiler, result=result)\n"
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Respondent</th>\n",
       "      <th>Hobby</th>\n",
       "      <th>OpenSource</th>\n",
       "      <th>Country</th>\n",
       "      <th>Student</th>\n",
       "      <th>Employment</th>\n",
       "      <th>FormalEducation</th>\n",
       "      <th>UndergradMajor</th>\n",
       "      <th>CompanySize</th>\n",
       "      <th>DevType</th>\n",
       "      <th>...</th>\n",
       "      <th>Exercise</th>\n",
       "      <th>Gender</th>\n",
       "      <th>SexualOrientation</th>\n",
       "      <th>EducationParents</th>\n",
       "      <th>RaceEthnicity</th>\n",
       "      <th>Age</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>MilitaryUS</th>\n",
       "      <th>SurveyTooLong</th>\n",
       "      <th>SurveyEasy</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Kenya</td>\n",
       "      <td>No</td>\n",
       "      <td>Employed part-time</td>\n",
       "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
       "      <td>Mathematics or statistics</td>\n",
       "      <td>20 to 99 employees</td>\n",
       "      <td>Full-stack developer</td>\n",
       "      <td>...</td>\n",
       "      <td>3 - 4 times per week</td>\n",
       "      <td>Male</td>\n",
       "      <td>Straight or heterosexual</td>\n",
       "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
       "      <td>Black or of African descent</td>\n",
       "      <td>25 - 34 years old</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The survey was an appropriate length</td>\n",
       "      <td>Very easy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>No</td>\n",
       "      <td>Employed full-time</td>\n",
       "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
       "      <td>A natural science (ex. biology, chemistry, phy...</td>\n",
       "      <td>10,000 or more employees</td>\n",
       "      <td>Database administrator;DevOps specialist;Full-...</td>\n",
       "      <td>...</td>\n",
       "      <td>Daily or almost every day</td>\n",
       "      <td>Male</td>\n",
       "      <td>Straight or heterosexual</td>\n",
       "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
       "      <td>White or of European descent</td>\n",
       "      <td>35 - 44 years old</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The survey was an appropriate length</td>\n",
       "      <td>Somewhat easy</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>United States</td>\n",
       "      <td>No</td>\n",
       "      <td>Employed full-time</td>\n",
       "      <td>Associate degree</td>\n",
       "      <td>Computer science, computer engineering, or sof...</td>\n",
       "      <td>20 to 99 employees</td>\n",
       "      <td>Engineering manager;Full-stack developer</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>3</th>\n",
       "      <td>5</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>United States</td>\n",
       "      <td>No</td>\n",
       "      <td>Employed full-time</td>\n",
       "      <td>Bachelor’s degree (BA, BS, B.Eng., etc.)</td>\n",
       "      <td>Computer science, computer engineering, or sof...</td>\n",
       "      <td>100 to 499 employees</td>\n",
       "      <td>Full-stack developer</td>\n",
       "      <td>...</td>\n",
       "      <td>I don't typically exercise</td>\n",
       "      <td>Male</td>\n",
       "      <td>Straight or heterosexual</td>\n",
       "      <td>Some college/university study without earning ...</td>\n",
       "      <td>White or of European descent</td>\n",
       "      <td>35 - 44 years old</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>The survey was an appropriate length</td>\n",
       "      <td>Somewhat easy</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>Yes, part-time</td>\n",
       "      <td>Employed full-time</td>\n",
       "      <td>Some college/university study without earning ...</td>\n",
       "      <td>Computer science, computer engineering, or sof...</td>\n",
       "      <td>10,000 or more employees</td>\n",
       "      <td>Data or business analyst;Desktop or enterprise...</td>\n",
       "      <td>...</td>\n",
       "      <td>3 - 4 times per week</td>\n",
       "      <td>Male</td>\n",
       "      <td>Straight or heterosexual</td>\n",
       "      <td>Some college/university study without earning ...</td>\n",
       "      <td>White or of European descent</td>\n",
       "      <td>18 - 24 years old</td>\n",
       "      <td>Yes</td>\n",
       "      <td>NaN</td>\n",
       "      <td>The survey was an appropriate length</td>\n",
       "      <td>Somewhat easy</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 129 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Respondent Hobby OpenSource         Country         Student  \\\n",
       "0           1   Yes         No           Kenya              No   \n",
       "1           3   Yes        Yes  United Kingdom              No   \n",
       "2           4   Yes        Yes   United States              No   \n",
       "3           5    No         No   United States              No   \n",
       "4           7   Yes         No    South Africa  Yes, part-time   \n",
       "\n",
       "           Employment                                    FormalEducation  \\\n",
       "0  Employed part-time           Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
       "1  Employed full-time           Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
       "2  Employed full-time                                   Associate degree   \n",
       "3  Employed full-time           Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
       "4  Employed full-time  Some college/university study without earning ...   \n",
       "\n",
       "                                      UndergradMajor  \\\n",
       "0                          Mathematics or statistics   \n",
       "1  A natural science (ex. biology, chemistry, phy...   \n",
       "2  Computer science, computer engineering, or sof...   \n",
       "3  Computer science, computer engineering, or sof...   \n",
       "4  Computer science, computer engineering, or sof...   \n",
       "\n",
       "                CompanySize  \\\n",
       "0        20 to 99 employees   \n",
       "1  10,000 or more employees   \n",
       "2        20 to 99 employees   \n",
       "3      100 to 499 employees   \n",
       "4  10,000 or more employees   \n",
       "\n",
       "                                             DevType      ...        \\\n",
       "0                               Full-stack developer      ...         \n",
       "1  Database administrator;DevOps specialist;Full-...      ...         \n",
       "2           Engineering manager;Full-stack developer      ...         \n",
       "3                               Full-stack developer      ...         \n",
       "4  Data or business analyst;Desktop or enterprise...      ...         \n",
       "\n",
       "                     Exercise Gender         SexualOrientation  \\\n",
       "0        3 - 4 times per week   Male  Straight or heterosexual   \n",
       "1   Daily or almost every day   Male  Straight or heterosexual   \n",
       "2                         NaN    NaN                       NaN   \n",
       "3  I don't typically exercise   Male  Straight or heterosexual   \n",
       "4        3 - 4 times per week   Male  Straight or heterosexual   \n",
       "\n",
       "                                    EducationParents  \\\n",
       "0           Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
       "1           Bachelor’s degree (BA, BS, B.Eng., etc.)   \n",
       "2                                                NaN   \n",
       "3  Some college/university study without earning ...   \n",
       "4  Some college/university study without earning ...   \n",
       "\n",
       "                  RaceEthnicity                Age Dependents  MilitaryUS  \\\n",
       "0   Black or of African descent  25 - 34 years old        Yes         NaN   \n",
       "1  White or of European descent  35 - 44 years old        Yes         NaN   \n",
       "2                           NaN                NaN        NaN         NaN   \n",
       "3  White or of European descent  35 - 44 years old         No          No   \n",
       "4  White or of European descent  18 - 24 years old        Yes         NaN   \n",
       "\n",
       "                          SurveyTooLong     SurveyEasy  \n",
       "0  The survey was an appropriate length      Very easy  \n",
       "1  The survey was an appropriate length  Somewhat easy  \n",
       "2                                   NaN            NaN  \n",
       "3  The survey was an appropriate length  Somewhat easy  \n",
       "4  The survey was an appropriate length  Somewhat easy  \n",
       "\n",
       "[5 rows x 129 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_csv('survey2018.csv')\n",
    "df.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                          JavaScript;Python;HTML;CSS\n",
       "1                        JavaScript;Python;Bash/Shell\n",
       "2                                                 NaN\n",
       "3    C#;JavaScript;SQL;TypeScript;HTML;CSS;Bash/Shell\n",
       "4                  C;C++;Java;Matlab;R;SQL;Bash/Shell\n",
       "Name: LanguageWorkedWith, dtype: object"
      ]
     },
     "execution_count": 3,
     "metadata": {},
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    }
   ],
   "source": [
    "df['LanguageWorkedWith'].head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
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       "      <td>C#</td>\n",
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       "      <td>TypeScript</td>\n",
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       "           0           1           2           3     4     5           6   \\\n",
       "0  JavaScript      Python        HTML         CSS  None  None        None   \n",
       "1  JavaScript      Python  Bash/Shell        None  None  None        None   \n",
       "2         NaN         NaN         NaN         NaN   NaN   NaN         NaN   \n",
       "3          C#  JavaScript         SQL  TypeScript  HTML   CSS  Bash/Shell   \n",
       "4           C         C++        Java      Matlab     R   SQL  Bash/Shell   \n",
       "\n",
       "     7     8     9   ...     28    29    30    31    32    33    34    35  \\\n",
       "0  None  None  None  ...   None  None  None  None  None  None  None  None   \n",
       "1  None  None  None  ...   None  None  None  None  None  None  None  None   \n",
       "2   NaN   NaN   NaN  ...    NaN   NaN   NaN   NaN   NaN   NaN   NaN   NaN   \n",
       "3  None  None  None  ...   None  None  None  None  None  None  None  None   \n",
       "4  None  None  None  ...   None  None  None  None  None  None  None  None   \n",
       "\n",
       "     36    37  \n",
       "0  None  None  \n",
       "1  None  None  \n",
       "2   NaN   NaN  \n",
       "3  None  None  \n",
       "4  None  None  \n",
       "\n",
       "[5 rows x 38 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "languages = df['LanguageWorkedWith'] \\\n",
    "    .str.split(';', expand=True)\n",
    "languages.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bash/Shell</th>\n",
       "      <td>29</td>\n",
       "      <td>465.0</td>\n",
       "      <td>1221.0</td>\n",
       "      <td>1929.0</td>\n",
       "      <td>2882.0</td>\n",
       "      <td>4442.0</td>\n",
       "      <td>4844.0</td>\n",
       "      <td>4269.0</td>\n",
       "      <td>3311.0</td>\n",
       "      <td>2562.0</td>\n",
       "      <td>...</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>35.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>13335</td>\n",
       "      <td>4707.0</td>\n",
       "      <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>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>C#</th>\n",
       "      <td>16969</td>\n",
       "      <td>4321.0</td>\n",
       "      <td>3990.0</td>\n",
       "      <td>1674.0</td>\n",
       "      <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>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>C++</th>\n",
       "      <td>7042</td>\n",
       "      <td>9275.0</td>\n",
       "      <td>3555.0</td>\n",
       "      <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>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>CSS</th>\n",
       "      <td>2</td>\n",
       "      <td>133.0</td>\n",
       "      <td>1649.0</td>\n",
       "      <td>4674.0</td>\n",
       "      <td>9664.0</td>\n",
       "      <td>9907.0</td>\n",
       "      <td>7746.0</td>\n",
       "      <td>5656.0</td>\n",
       "      <td>4132.0</td>\n",
       "      <td>2710.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clojure</th>\n",
       "      <td>454</td>\n",
       "      <td>249.0</td>\n",
       "      <td>142.0</td>\n",
       "      <td>86.0</td>\n",
       "      <td>42.0</td>\n",
       "      <td>59.0</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>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>Cobol</th>\n",
       "      <td>5</td>\n",
       "      <td>6.0</td>\n",
       "      <td>29.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>...</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CoffeeScript</th>\n",
       "      <td>1413</td>\n",
       "      <td>612.0</td>\n",
       "      <td>271.0</td>\n",
       "      <td>168.0</td>\n",
       "      <td>139.0</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>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>Delphi/Object Pascal</th>\n",
       "      <td>93</td>\n",
       "      <td>141.0</td>\n",
       "      <td>209.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>221.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>129.0</td>\n",
       "      <td>115.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>39.0</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>10 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                         0       1       2       3       4       5       6   \\\n",
       "Assembly               5760     NaN     NaN     NaN     NaN     NaN     NaN   \n",
       "Bash/Shell               29   465.0  1221.0  1929.0  2882.0  4442.0  4844.0   \n",
       "C                     13335  4707.0     NaN     NaN     NaN     NaN     NaN   \n",
       "C#                    16969  4321.0  3990.0  1674.0     NaN     NaN     NaN   \n",
       "C++                    7042  9275.0  3555.0     NaN     NaN     NaN     NaN   \n",
       "CSS                       2   133.0  1649.0  4674.0  9664.0  9907.0  7746.0   \n",
       "Clojure                 454   249.0   142.0    86.0    42.0    59.0     NaN   \n",
       "Cobol                     5     6.0    29.0    45.0    62.0    54.0    62.0   \n",
       "CoffeeScript           1413   612.0   271.0   168.0   139.0     NaN     NaN   \n",
       "Delphi/Object Pascal     93   141.0   209.0   220.0   221.0   214.0   214.0   \n",
       "\n",
       "                          7       8       9   ...    28   29   30   31   32  \\\n",
       "Assembly                 NaN     NaN     NaN  ...   NaN  NaN  NaN  NaN  NaN   \n",
       "Bash/Shell            4269.0  3311.0  2562.0  ...   3.0  1.0  2.0  2.0  NaN   \n",
       "C                        NaN     NaN     NaN  ...   NaN  NaN  NaN  NaN  NaN   \n",
       "C#                       NaN     NaN     NaN  ...   NaN  NaN  NaN  NaN  NaN   \n",
       "C++                      NaN     NaN     NaN  ...   NaN  NaN  NaN  NaN  NaN   \n",
       "CSS                   5656.0  4132.0  2710.0  ...   1.0  2.0  1.0  NaN  1.0   \n",
       "Clojure                  NaN     NaN     NaN  ...   NaN  NaN  NaN  NaN  NaN   \n",
       "Cobol                   55.0    52.0    38.0  ...   1.0  NaN  2.0  NaN  NaN   \n",
       "CoffeeScript             NaN     NaN     NaN  ...   NaN  NaN  NaN  NaN  NaN   \n",
       "Delphi/Object Pascal   134.0   129.0   115.0  ...   NaN  1.0  NaN  NaN  2.0   \n",
       "\n",
       "                        33    34   35    36    37  \n",
       "Assembly               NaN   NaN  NaN   NaN   NaN  \n",
       "Bash/Shell             1.0   NaN  NaN   2.0  35.0  \n",
       "C                      NaN   NaN  NaN   NaN   NaN  \n",
       "C#                     NaN   NaN  NaN   NaN   NaN  \n",
       "C++                    NaN   NaN  NaN   NaN   NaN  \n",
       "CSS                    NaN   NaN  2.0  39.0   NaN  \n",
       "Clojure                NaN   NaN  NaN   NaN   NaN  \n",
       "Cobol                  2.0  39.0  NaN   NaN   NaN  \n",
       "CoffeeScript           NaN   NaN  NaN   NaN   NaN  \n",
       "Delphi/Object Pascal  39.0   NaN  NaN   NaN   NaN  \n",
       "\n",
       "[10 rows x 38 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary = languages.apply(\n",
    "    pd.Series.value_counts)\n",
    "summary.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Assembly</th>\n",
       "      <td>5767.353129</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Bash/Shell</th>\n",
       "      <td>31211.793704</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>18065.032144</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C#</th>\n",
       "      <td>26988.409069</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C++</th>\n",
       "      <td>19897.368295</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CSS</th>\n",
       "      <td>51044.079021</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clojure</th>\n",
       "      <td>1033.317436</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cobol</th>\n",
       "      <td>590.753185</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CoffeeScript</th>\n",
       "      <td>2606.322950</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Delphi/Object Pascal</th>\n",
       "      <td>2027.585084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Erlang</th>\n",
       "      <td>887.131054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F#</th>\n",
       "      <td>1116.423392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Go</th>\n",
       "      <td>5539.062068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Groovy</th>\n",
       "      <td>3377.305921</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HTML</th>\n",
       "      <td>53696.460694</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hack</th>\n",
       "      <td>254.324253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Haskell</th>\n",
       "      <td>1963.503383</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Java</th>\n",
       "      <td>35566.345572</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JavaScript</th>\n",
       "      <td>54755.811321</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Julia</th>\n",
       "      <td>430.548931</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kotlin</th>\n",
       "      <td>3512.478260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lua</th>\n",
       "      <td>2736.488906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Matlab</th>\n",
       "      <td>4569.826333</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Objective-C</th>\n",
       "      <td>5517.033983</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ocaml</th>\n",
       "      <td>470.599995</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PHP</th>\n",
       "      <td>24101.728675</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Perl</th>\n",
       "      <td>3284.187198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Python</th>\n",
       "      <td>30397.755840</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R</th>\n",
       "      <td>4819.144203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ruby</th>\n",
       "      <td>7921.099063</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rust</th>\n",
       "      <td>1859.370618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SQL</th>\n",
       "      <td>44727.025047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Scala</th>\n",
       "      <td>3424.365920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Swift</th>\n",
       "      <td>6318.055251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TypeScript</th>\n",
       "      <td>13643.394746</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VB.NET</th>\n",
       "      <td>5260.707177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VBA</th>\n",
       "      <td>3814.863788</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Visual Basic 6</th>\n",
       "      <td>3090.940818</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             count\n",
       "Assembly               5767.353129\n",
       "Bash/Shell            31211.793704\n",
       "C                     18065.032144\n",
       "C#                    26988.409069\n",
       "C++                   19897.368295\n",
       "CSS                   51044.079021\n",
       "Clojure                1033.317436\n",
       "Cobol                   590.753185\n",
       "CoffeeScript           2606.322950\n",
       "Delphi/Object Pascal   2027.585084\n",
       "Erlang                  887.131054\n",
       "F#                     1116.423392\n",
       "Go                     5539.062068\n",
       "Groovy                 3377.305921\n",
       "HTML                  53696.460694\n",
       "Hack                    254.324253\n",
       "Haskell                1963.503383\n",
       "Java                  35566.345572\n",
       "JavaScript            54755.811321\n",
       "Julia                   430.548931\n",
       "Kotlin                 3512.478260\n",
       "Lua                    2736.488906\n",
       "Matlab                 4569.826333\n",
       "Objective-C            5517.033983\n",
       "Ocaml                   470.599995\n",
       "PHP                   24101.728675\n",
       "Perl                   3284.187198\n",
       "Python                30397.755840\n",
       "R                      4819.144203\n",
       "Ruby                   7921.099063\n",
       "Rust                   1859.370618\n",
       "SQL                   44727.025047\n",
       "Scala                  3424.365920\n",
       "Swift                  6318.055251\n",
       "TypeScript            13643.394746\n",
       "VB.NET                 5260.707177\n",
       "VBA                    3814.863788\n",
       "Visual Basic 6         3090.940818"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summary = pd.DataFrame({'count': \n",
    "    summary.sum(axis=1)\n",
    "    .groupby(lambda x: x.strip())\n",
    "    .sum()})\n",
    "summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>percent</th>\n",
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       "  <tbody>\n",
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       "      <th>Assembly</th>\n",
       "      <td>5767.353129</td>\n",
       "      <td>7.362516</td>\n",
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       "    <tr>\n",
       "      <th>Bash/Shell</th>\n",
       "      <td>31211.793704</td>\n",
       "      <td>39.844504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>C</th>\n",
       "      <td>18065.032144</td>\n",
       "      <td>23.061547</td>\n",
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       "    <tr>\n",
       "      <th>C#</th>\n",
       "      <td>26988.409069</td>\n",
       "      <td>34.452995</td>\n",
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       "    <tr>\n",
       "      <th>C++</th>\n",
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       "      <td>25.400680</td>\n",
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       "    <tr>\n",
       "      <th>CSS</th>\n",
       "      <td>51044.079021</td>\n",
       "      <td>65.162099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clojure</th>\n",
       "      <td>1033.317436</td>\n",
       "      <td>1.319117</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Cobol</th>\n",
       "      <td>590.753185</td>\n",
       "      <td>0.754147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>CoffeeScript</th>\n",
       "      <td>2606.322950</td>\n",
       "      <td>3.327192</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Delphi/Object Pascal</th>\n",
       "      <td>2027.585084</td>\n",
       "      <td>2.588384</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Erlang</th>\n",
       "      <td>887.131054</td>\n",
       "      <td>1.132498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>F#</th>\n",
       "      <td>1116.423392</td>\n",
       "      <td>1.425209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Go</th>\n",
       "      <td>5539.062068</td>\n",
       "      <td>7.071083</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Groovy</th>\n",
       "      <td>3377.305921</td>\n",
       "      <td>4.311418</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>HTML</th>\n",
       "      <td>53696.460694</td>\n",
       "      <td>68.548090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Hack</th>\n",
       "      <td>254.324253</td>\n",
       "      <td>0.324666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Haskell</th>\n",
       "      <td>1963.503383</td>\n",
       "      <td>2.506579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Java</th>\n",
       "      <td>35566.345572</td>\n",
       "      <td>45.403459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>JavaScript</th>\n",
       "      <td>54755.811321</td>\n",
       "      <td>69.900441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Julia</th>\n",
       "      <td>430.548931</td>\n",
       "      <td>0.549632</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Kotlin</th>\n",
       "      <td>3512.478260</td>\n",
       "      <td>4.483977</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Lua</th>\n",
       "      <td>2736.488906</td>\n",
       "      <td>3.493360</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Matlab</th>\n",
       "      <td>4569.826333</td>\n",
       "      <td>5.833771</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Objective-C</th>\n",
       "      <td>5517.033983</td>\n",
       "      <td>7.042962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ocaml</th>\n",
       "      <td>470.599995</td>\n",
       "      <td>0.600761</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>PHP</th>\n",
       "      <td>24101.728675</td>\n",
       "      <td>30.767902</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Perl</th>\n",
       "      <td>3284.187198</td>\n",
       "      <td>4.192544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Python</th>\n",
       "      <td>30397.755840</td>\n",
       "      <td>38.805315</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>R</th>\n",
       "      <td>4819.144203</td>\n",
       "      <td>6.152047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Ruby</th>\n",
       "      <td>7921.099063</td>\n",
       "      <td>10.111955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Rust</th>\n",
       "      <td>1859.370618</td>\n",
       "      <td>2.373644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>SQL</th>\n",
       "      <td>44727.025047</td>\n",
       "      <td>57.097844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Scala</th>\n",
       "      <td>3424.365920</td>\n",
       "      <td>4.371494</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Swift</th>\n",
       "      <td>6318.055251</td>\n",
       "      <td>8.065534</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>TypeScript</th>\n",
       "      <td>13643.394746</td>\n",
       "      <td>17.416951</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VB.NET</th>\n",
       "      <td>5260.707177</td>\n",
       "      <td>6.715739</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>VBA</th>\n",
       "      <td>3814.863788</td>\n",
       "      <td>4.869997</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Visual Basic 6</th>\n",
       "      <td>3090.940818</td>\n",
       "      <td>3.945848</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                             count    percent\n",
       "Assembly               5767.353129   7.362516\n",
       "Bash/Shell            31211.793704  39.844504\n",
       "C                     18065.032144  23.061547\n",
       "C#                    26988.409069  34.452995\n",
       "C++                   19897.368295  25.400680\n",
       "CSS                   51044.079021  65.162099\n",
       "Clojure                1033.317436   1.319117\n",
       "Cobol                   590.753185   0.754147\n",
       "CoffeeScript           2606.322950   3.327192\n",
       "Delphi/Object Pascal   2027.585084   2.588384\n",
       "Erlang                  887.131054   1.132498\n",
       "F#                     1116.423392   1.425209\n",
       "Go                     5539.062068   7.071083\n",
       "Groovy                 3377.305921   4.311418\n",
       "HTML                  53696.460694  68.548090\n",
       "Hack                    254.324253   0.324666\n",
       "Haskell                1963.503383   2.506579\n",
       "Java                  35566.345572  45.403459\n",
       "JavaScript            54755.811321  69.900441\n",
       "Julia                   430.548931   0.549632\n",
       "Kotlin                 3512.478260   4.483977\n",
       "Lua                    2736.488906   3.493360\n",
       "Matlab                 4569.826333   5.833771\n",
       "Objective-C            5517.033983   7.042962\n",
       "Ocaml                   470.599995   0.600761\n",
       "PHP                   24101.728675  30.767902\n",
       "Perl                   3284.187198   4.192544\n",
       "Python                30397.755840  38.805315\n",
       "R                      4819.144203   6.152047\n",
       "Ruby                   7921.099063  10.111955\n",
       "Rust                   1859.370618   2.373644\n",
       "SQL                   44727.025047  57.097844\n",
       "Scala                  3424.365920   4.371494\n",
       "Swift                  6318.055251   8.065534\n",
       "TypeScript            13643.394746  17.416951\n",
       "VB.NET                 5260.707177   6.715739\n",
       "VBA                    3814.863788   4.869997\n",
       "Visual Basic 6         3090.940818   3.945848"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total = df[df['LanguageWorkedWith'].notnull()].shape[0]\n",
    "summary['percent'] = summary['count']/total*100\n",
    "summary"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x10e5bf470>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "summary.plot.barh(y='percent', figsize=(10,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "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": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}