python_descriptive_statistics_sample.ipynb

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       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID</th>\n",
       "      <th>Name</th>\n",
       "      <th>Day</th>\n",
       "      <th>Age</th>\n",
       "      <th>Response</th>\n",
       "      <th>Gender</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>John</td>\n",
       "      <td>Fifth</td>\n",
       "      <td>23</td>\n",
       "      <td>0.453733</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>Billie</td>\n",
       "      <td>Fifth</td>\n",
       "      <td>22</td>\n",
       "      <td>0.257360</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>Robert</td>\n",
       "      <td>Fifth</td>\n",
       "      <td>20</td>\n",
       "      <td>0.443393</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>Don</td>\n",
       "      <td>Fifth</td>\n",
       "      <td>27</td>\n",
       "      <td>0.423592</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>Joseph</td>\n",
       "      <td>Fifth</td>\n",
       "      <td>21</td>\n",
       "      <td>0.571355</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
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      "text/plain": [
       "   ID    Name    Day  Age  Response  Gender\n",
       "0   1    John  Fifth   23  0.453733       0\n",
       "1   2  Billie  Fifth   22  0.257360       0\n",
       "2   3  Robert  Fifth   20  0.443393       0\n",
       "3   4     Don  Fifth   27  0.423592       0\n",
       "4   5  Joseph  Fifth   21  0.571355       0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "\n",
    "data = 'https://raw.githubusercontent.com/marsja/jupyter/master/SimData/FifthDayData.csv'\n",
    "\n",
    "df = pd.read_csv(data)\n",
    "\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Male    0\n",
       "1       0\n",
       "2       0\n",
       "3       0\n",
       "4       0\n",
       "       ..\n",
       "195     1\n",
       "196     1\n",
       "197     1\n",
       "198     1\n",
       "199     1\n",
       "Name: Gender, Length: 200, dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.Gender.rename({0:'Male'})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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