03_01_begin.ipynb

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   "cell_type": "markdown",
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   "metadata": {},
   "source": [
    "# Handling missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "5a9a92a6",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "910ceb1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>id</th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>country_name</th>\n",
       "      <th>state/province</th>\n",
       "      <th>population</th>\n",
       "      <th>landslide_type</th>\n",
       "      <th>trigger</th>\n",
       "      <th>fatalities</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>34</td>\n",
       "      <td>3/2/07</td>\n",
       "      <td>Night</td>\n",
       "      <td>United States</td>\n",
       "      <td>Virginia</td>\n",
       "      <td>16000</td>\n",
       "      <td>Landslide</td>\n",
       "      <td>Rain</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>42</td>\n",
       "      <td>3/22/07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United States</td>\n",
       "      <td>Ohio</td>\n",
       "      <td>17288</td>\n",
       "      <td>Landslide</td>\n",
       "      <td>Rain</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>56</td>\n",
       "      <td>4/6/07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United States</td>\n",
       "      <td>Pennsylvania</td>\n",
       "      <td>15930</td>\n",
       "      <td>Landslide</td>\n",
       "      <td>Rain</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>59</td>\n",
       "      <td>4/14/07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Canada</td>\n",
       "      <td>Quebec</td>\n",
       "      <td>42786</td>\n",
       "      <td>Riverbank collapse</td>\n",
       "      <td>Rain</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>61</td>\n",
       "      <td>4/15/07</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United States</td>\n",
       "      <td>Kentucky</td>\n",
       "      <td>6903</td>\n",
       "      <td>Landslide</td>\n",
       "      <td>Downpour</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   id     date   time   country_name state/province  population  \\\n",
       "0  34   3/2/07  Night  United States       Virginia       16000   \n",
       "1  42  3/22/07    NaN  United States           Ohio       17288   \n",
       "2  56   4/6/07    NaN  United States   Pennsylvania       15930   \n",
       "3  59  4/14/07    NaN         Canada         Quebec       42786   \n",
       "4  61  4/15/07    NaN  United States       Kentucky        6903   \n",
       "\n",
       "       landslide_type   trigger  fatalities  \n",
       "0           Landslide      Rain         NaN  \n",
       "1           Landslide      Rain         NaN  \n",
       "2           Landslide      Rain         NaN  \n",
       "3  Riverbank collapse      Rain         NaN  \n",
       "4           Landslide  Downpour         0.0  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"./data/landslides.csv\")\n",
    "df.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0524fad8",
   "metadata": {},
   "source": [
    "## Check and handle missing values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c15ed220",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "07585864",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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