latihan 1 - dataframe.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"name":"latihan 1 - dataframe.ipynb","provenance":[],"collapsed_sections":[],"authorship_tag":"ABX9TyNRHjZ1EXUeiW/OwATUdG4I"},"kernelspec":{"name":"python3","display_name":"Python 3"}},"cells":[{"cell_type":"code","metadata":{"id":"kRPnYmzhkb19","colab_type":"code","colab":{"base_uri":"https://localhost:8080/","height":206},"outputId":"ac7a210f-603f-421b-c9f9-e8c1a1548aa5","executionInfo":{"status":"ok","timestamp":1588342532365,"user_tz":0,"elapsed":1095,"user":{"displayName":"Agung Kurniawan","photoUrl":"https://lh3.googleusercontent.com/a-/AOh14Ghrb76eETY0EEb-xiAoS5M2HEAneMGxLUO0pzkUoA=s64","userId":"17681440155891072045"}}},"source":["import pandas as pd\n","\n","import os\n","\n","\n","df = pd.read_csv('sample_data/california_housing_train.csv')\n","df.head()"],"execution_count":2,"outputs":[{"output_type":"execute_result","data":{"text/html":["<div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\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>longitude</th>\n","      <th>latitude</th>\n","      <th>housing_median_age</th>\n","      <th>total_rooms</th>\n","      <th>total_bedrooms</th>\n","      <th>population</th>\n","      <th>households</th>\n","      <th>median_income</th>\n","      <th>median_house_value</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>0</th>\n","      <td>-114.31</td>\n","      <td>34.19</td>\n","      <td>15.0</td>\n","      <td>5612.0</td>\n","      <td>1283.0</td>\n","      <td>1015.0</td>\n","      <td>472.0</td>\n","      <td>1.4936</td>\n","      <td>66900.0</td>\n","    </tr>\n","    <tr>\n","      <th>1</th>\n","      <td>-114.47</td>\n","      <td>34.40</td>\n","      <td>19.0</td>\n","      <td>7650.0</td>\n","      <td>1901.0</td>\n","      <td>1129.0</td>\n","      <td>463.0</td>\n","      <td>1.8200</td>\n","      <td>80100.0</td>\n","    </tr>\n","    <tr>\n","      <th>2</th>\n","      <td>-114.56</td>\n","      <td>33.69</td>\n","      <td>17.0</td>\n","      <td>720.0</td>\n","      <td>174.0</td>\n","      <td>333.0</td>\n","      <td>117.0</td>\n","      <td>1.6509</td>\n","      <td>85700.0</td>\n","    </tr>\n","    <tr>\n","      <th>3</th>\n","      <td>-114.57</td>\n","      <td>33.64</td>\n","      <td>14.0</td>\n","      <td>1501.0</td>\n","      <td>337.0</td>\n","      <td>515.0</td>\n","      <td>226.0</td>\n","      <td>3.1917</td>\n","      <td>73400.0</td>\n","    </tr>\n","    <tr>\n","      <th>4</th>\n","      <td>-114.57</td>\n","      <td>33.57</td>\n","      <td>20.0</td>\n","      <td>1454.0</td>\n","      <td>326.0</td>\n","      <td>624.0</td>\n","      <td>262.0</td>\n","      <td>1.9250</td>\n","      <td>65500.0</td>\n","    </tr>\n","  </tbody>\n","</table>\n","</div>"],"text/plain":["   longitude  latitude  ...  median_income  median_house_value\n","0    -114.31     34.19  ...         1.4936             66900.0\n","1    -114.47     34.40  ...         1.8200             80100.0\n","2    -114.56     33.69  ...         1.6509             85700.0\n","3    -114.57     33.64  ...         3.1917             73400.0\n","4    -114.57     33.57  ...         1.9250             65500.0\n","\n","[5 rows x 9 columns]"]},"metadata":{"tags":[]},"execution_count":2}]}]}