main-notebook.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1cc9ca04",
   "metadata": {
    "_cell_guid": "b1076dfc-b9ad-4769-8c92-a6c4dae69d19",
    "_uuid": "8f2839f25d086af736a60e9eeb907d3b93b6e0e5",
    "execution": {
     "iopub.execute_input": "2023-04-22T06:11:27.992564Z",
     "iopub.status.busy": "2023-04-22T06:11:27.992016Z",
     "iopub.status.idle": "2023-04-22T06:11:28.018944Z",
     "shell.execute_reply": "2023-04-22T06:11:28.017624Z"
    },
    "papermill": {
     "duration": 0.036229,
     "end_time": "2023-04-22T06:11:28.022011",
     "exception": false,
     "start_time": "2023-04-22T06:11:27.985782",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/kaggle/input/palmer-penguins-clustering/LICENSE\n",
      "/kaggle/input/palmer-penguins-clustering/.gitignore\n",
      "/kaggle/input/palmer-penguins-clustering/README.md\n",
      "/kaggle/input/palmer-penguins-clustering/1 - EDA.ipynb\n",
      "/kaggle/input/palmer-penguins-clustering/data/penguins_size.csv\n",
      "/kaggle/input/palmer-penguins-clustering/data/penguins_lter.csv\n"
     ]
    }
   ],
   "source": [
    "# This Python 3 environment comes with many helpful analytics libraries installed\n",
    "# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n",
    "# For example, here's several helpful packages to load\n",
    "\n",
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "\n",
    "# Input data files are available in the read-only \"../input/\" directory\n",
    "# For example, running this (by clicking run or pressing Shift+Enter) will list all files under the input directory\n",
    "\n",
    "import os\n",
    "for dirname, _, filenames in os.walk('/kaggle/input'):\n",
    "    for filename in filenames:\n",
    "        print(os.path.join(dirname, filename))\n",
    "\n",
    "# You can write up to 20GB to the current directory (/kaggle/working/) that gets preserved as output when you create a version using \"Save & Run All\" \n",
    "# You can also write temporary files to /kaggle/temp/, but they won't be saved outside of the current session"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "993d7a64",
   "metadata": {
    "papermill": {
     "duration": 0.002902,
     "end_time": "2023-04-22T06:11:28.028352",
     "exception": false,
     "start_time": "2023-04-22T06:11:28.025450",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Load the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f8420292",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T06:11:28.036873Z",
     "iopub.status.busy": "2023-04-22T06:11:28.036008Z",
     "iopub.status.idle": "2023-04-22T06:11:28.060975Z",
     "shell.execute_reply": "2023-04-22T06:11:28.059212Z"
    },
    "papermill": {
     "duration": 0.03429,
     "end_time": "2023-04-22T06:11:28.065659",
     "exception": false,
     "start_time": "2023-04-22T06:11:28.031369",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "data = pd.read_csv('../input/palmer-penguins-clustering/data/penguins_lter.csv')\n",
    "data_size = pd.read_csv('../input/palmer-penguins-clustering/data/penguins_size.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "7fa8685a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T06:11:28.082221Z",
     "iopub.status.busy": "2023-04-22T06:11:28.081606Z",
     "iopub.status.idle": "2023-04-22T06:11:28.126900Z",
     "shell.execute_reply": "2023-04-22T06:11:28.125266Z"
    },
    "papermill": {
     "duration": 0.058663,
     "end_time": "2023-04-22T06:11:28.129763",
     "exception": false,
     "start_time": "2023-04-22T06:11:28.071100",
     "status": "completed"
    },
    "tags": []
   },
   "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>studyName</th>\n",
       "      <th>Sample Number</th>\n",
       "      <th>Species</th>\n",
       "      <th>Region</th>\n",
       "      <th>Island</th>\n",
       "      <th>Stage</th>\n",
       "      <th>Individual ID</th>\n",
       "      <th>Clutch Completion</th>\n",
       "      <th>Date Egg</th>\n",
       "      <th>Culmen Length (mm)</th>\n",
       "      <th>Culmen Depth (mm)</th>\n",
       "      <th>Flipper Length (mm)</th>\n",
       "      <th>Body Mass (g)</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Delta 15 N (o/oo)</th>\n",
       "      <th>Delta 13 C (o/oo)</th>\n",
       "      <th>Comments</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>PAL0708</td>\n",
       "      <td>1</td>\n",
       "      <td>Adelie Penguin (Pygoscelis adeliae)</td>\n",
       "      <td>Anvers</td>\n",
       "      <td>Torgersen</td>\n",
       "      <td>Adult, 1 Egg Stage</td>\n",
       "      <td>N1A1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>11/11/07</td>\n",
       "      <td>39.1</td>\n",
       "      <td>18.7</td>\n",
       "      <td>181.0</td>\n",
       "      <td>3750.0</td>\n",
       "      <td>MALE</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Not enough blood for isotopes.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>PAL0708</td>\n",
       "      <td>2</td>\n",
       "      <td>Adelie Penguin (Pygoscelis adeliae)</td>\n",
       "      <td>Anvers</td>\n",
       "      <td>Torgersen</td>\n",
       "      <td>Adult, 1 Egg Stage</td>\n",
       "      <td>N1A2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>11/11/07</td>\n",
       "      <td>39.5</td>\n",
       "      <td>17.4</td>\n",
       "      <td>186.0</td>\n",
       "      <td>3800.0</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>8.94956</td>\n",
       "      <td>-24.69454</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PAL0708</td>\n",
       "      <td>3</td>\n",
       "      <td>Adelie Penguin (Pygoscelis adeliae)</td>\n",
       "      <td>Anvers</td>\n",
       "      <td>Torgersen</td>\n",
       "      <td>Adult, 1 Egg Stage</td>\n",
       "      <td>N2A1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>11/16/07</td>\n",
       "      <td>40.3</td>\n",
       "      <td>18.0</td>\n",
       "      <td>195.0</td>\n",
       "      <td>3250.0</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>8.36821</td>\n",
       "      <td>-25.33302</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>PAL0708</td>\n",
       "      <td>4</td>\n",
       "      <td>Adelie Penguin (Pygoscelis adeliae)</td>\n",
       "      <td>Anvers</td>\n",
       "      <td>Torgersen</td>\n",
       "      <td>Adult, 1 Egg Stage</td>\n",
       "      <td>N2A2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>11/16/07</td>\n",
       "      <td>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>Adult not sampled.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>PAL0708</td>\n",
       "      <td>5</td>\n",
       "      <td>Adelie Penguin (Pygoscelis adeliae)</td>\n",
       "      <td>Anvers</td>\n",
       "      <td>Torgersen</td>\n",
       "      <td>Adult, 1 Egg Stage</td>\n",
       "      <td>N3A1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>11/16/07</td>\n",
       "      <td>36.7</td>\n",
       "      <td>19.3</td>\n",
       "      <td>193.0</td>\n",
       "      <td>3450.0</td>\n",
       "      <td>FEMALE</td>\n",
       "      <td>8.76651</td>\n",
       "      <td>-25.32426</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  studyName  Sample Number                              Species  Region  \\\n",
       "0   PAL0708              1  Adelie Penguin (Pygoscelis adeliae)  Anvers   \n",
       "1   PAL0708              2  Adelie Penguin (Pygoscelis adeliae)  Anvers   \n",
       "2   PAL0708              3  Adelie Penguin (Pygoscelis adeliae)  Anvers   \n",
       "3   PAL0708              4  Adelie Penguin (Pygoscelis adeliae)  Anvers   \n",
       "4   PAL0708              5  Adelie Penguin (Pygoscelis adeliae)  Anvers   \n",
       "\n",
       "      Island               Stage Individual ID Clutch Completion  Date Egg  \\\n",
       "0  Torgersen  Adult, 1 Egg Stage          N1A1               Yes  11/11/07   \n",
       "1  Torgersen  Adult, 1 Egg Stage          N1A2               Yes  11/11/07   \n",
       "2  Torgersen  Adult, 1 Egg Stage          N2A1               Yes  11/16/07   \n",
       "3  Torgersen  Adult, 1 Egg Stage          N2A2               Yes  11/16/07   \n",
       "4  Torgersen  Adult, 1 Egg Stage          N3A1               Yes  11/16/07   \n",
       "\n",
       "   Culmen Length (mm)  Culmen Depth (mm)  Flipper Length (mm)  Body Mass (g)  \\\n",
       "0                39.1               18.7                181.0         3750.0   \n",
       "1                39.5               17.4                186.0         3800.0   \n",
       "2                40.3               18.0                195.0         3250.0   \n",
       "3                 NaN                NaN                  NaN            NaN   \n",
       "4                36.7               19.3                193.0         3450.0   \n",
       "\n",
       "      Sex  Delta 15 N (o/oo)  Delta 13 C (o/oo)  \\\n",
       "0    MALE                NaN                NaN   \n",
       "1  FEMALE            8.94956          -24.69454   \n",
       "2  FEMALE            8.36821          -25.33302   \n",
       "3     NaN                NaN                NaN   \n",
       "4  FEMALE            8.76651          -25.32426   \n",
       "\n",
       "                         Comments  \n",
       "0  Not enough blood for isotopes.  \n",
       "1                             NaN  \n",
       "2                             NaN  \n",
       "3              Adult not sampled.  \n",
       "4                             NaN  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "02ca430d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T06:11:28.139272Z",
     "iopub.status.busy": "2023-04-22T06:11:28.138467Z",
     "iopub.status.idle": "2023-04-22T06:11:28.186322Z",
     "shell.execute_reply": "2023-04-22T06:11:28.185205Z"
    },
    "papermill": {
     "duration": 0.055507,
     "end_time": "2023-04-22T06:11:28.188894",
     "exception": false,
     "start_time": "2023-04-22T06:11:28.133387",
     "status": "completed"
    },
    "tags": []
   },
   "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>Sample Number</th>\n",
       "      <th>Culmen Length (mm)</th>\n",
       "      <th>Culmen Depth (mm)</th>\n",
       "      <th>Flipper Length (mm)</th>\n",
       "      <th>Body Mass (g)</th>\n",
       "      <th>Delta 15 N (o/oo)</th>\n",
       "      <th>Delta 13 C (o/oo)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>344.000000</td>\n",
       "      <td>342.000000</td>\n",
       "      <td>342.000000</td>\n",
       "      <td>342.000000</td>\n",
       "      <td>342.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>331.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>63.151163</td>\n",
       "      <td>43.921930</td>\n",
       "      <td>17.151170</td>\n",
       "      <td>200.915205</td>\n",
       "      <td>4201.754386</td>\n",
       "      <td>8.733382</td>\n",
       "      <td>-25.686292</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>40.430199</td>\n",
       "      <td>5.459584</td>\n",
       "      <td>1.974793</td>\n",
       "      <td>14.061714</td>\n",
       "      <td>801.954536</td>\n",
       "      <td>0.551770</td>\n",
       "      <td>0.793961</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>32.100000</td>\n",
       "      <td>13.100000</td>\n",
       "      <td>172.000000</td>\n",
       "      <td>2700.000000</td>\n",
       "      <td>7.632200</td>\n",
       "      <td>-27.018540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>39.225000</td>\n",
       "      <td>15.600000</td>\n",
       "      <td>190.000000</td>\n",
       "      <td>3550.000000</td>\n",
       "      <td>8.299890</td>\n",
       "      <td>-26.320305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>58.000000</td>\n",
       "      <td>44.450000</td>\n",
       "      <td>17.300000</td>\n",
       "      <td>197.000000</td>\n",
       "      <td>4050.000000</td>\n",
       "      <td>8.652405</td>\n",
       "      <td>-25.833520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>95.250000</td>\n",
       "      <td>48.500000</td>\n",
       "      <td>18.700000</td>\n",
       "      <td>213.000000</td>\n",
       "      <td>4750.000000</td>\n",
       "      <td>9.172123</td>\n",
       "      <td>-25.062050</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>152.000000</td>\n",
       "      <td>59.600000</td>\n",
       "      <td>21.500000</td>\n",
       "      <td>231.000000</td>\n",
       "      <td>6300.000000</td>\n",
       "      <td>10.025440</td>\n",
       "      <td>-23.787670</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       Sample Number  Culmen Length (mm)  Culmen Depth (mm)  \\\n",
       "count     344.000000          342.000000         342.000000   \n",
       "mean       63.151163           43.921930          17.151170   \n",
       "std        40.430199            5.459584           1.974793   \n",
       "min         1.000000           32.100000          13.100000   \n",
       "25%        29.000000           39.225000          15.600000   \n",
       "50%        58.000000           44.450000          17.300000   \n",
       "75%        95.250000           48.500000          18.700000   \n",
       "max       152.000000           59.600000          21.500000   \n",
       "\n",
       "       Flipper Length (mm)  Body Mass (g)  Delta 15 N (o/oo)  \\\n",
       "count           342.000000     342.000000         330.000000   \n",
       "mean            200.915205    4201.754386           8.733382   \n",
       "std              14.061714     801.954536           0.551770   \n",
       "min             172.000000    2700.000000           7.632200   \n",
       "25%             190.000000    3550.000000           8.299890   \n",
       "50%             197.000000    4050.000000           8.652405   \n",
       "75%             213.000000    4750.000000           9.172123   \n",
       "max             231.000000    6300.000000          10.025440   \n",
       "\n",
       "       Delta 13 C (o/oo)  \n",
       "count         331.000000  \n",
       "mean          -25.686292  \n",
       "std             0.793961  \n",
       "min           -27.018540  \n",
       "25%           -26.320305  \n",
       "50%           -25.833520  \n",
       "75%           -25.062050  \n",
       "max           -23.787670  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d9209b90",
   "metadata": {
    "papermill": {
     "duration": 0.003414,
     "end_time": "2023-04-22T06:11:28.196107",
     "exception": false,
     "start_time": "2023-04-22T06:11:28.192693",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### Clean the data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "6c048384",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T06:11:28.205872Z",
     "iopub.status.busy": "2023-04-22T06:11:28.205052Z",
     "iopub.status.idle": "2023-04-22T06:11:28.215374Z",
     "shell.execute_reply": "2023-04-22T06:11:28.214200Z"
    },
    "papermill": {
     "duration": 0.017996,
     "end_time": "2023-04-22T06:11:28.217626",
     "exception": false,
     "start_time": "2023-04-22T06:11:28.199630",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "studyName                0\n",
       "Sample Number            0\n",
       "Species                  0\n",
       "Region                   0\n",
       "Island                   0\n",
       "Stage                    0\n",
       "Individual ID            0\n",
       "Clutch Completion        0\n",
       "Date Egg                 0\n",
       "Culmen Length (mm)       2\n",
       "Culmen Depth (mm)        2\n",
       "Flipper Length (mm)      2\n",
       "Body Mass (g)            2\n",
       "Sex                     10\n",
       "Delta 15 N (o/oo)       14\n",
       "Delta 13 C (o/oo)       13\n",
       "Comments               318\n",
       "dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "b3cb34a6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T06:11:28.226850Z",
     "iopub.status.busy": "2023-04-22T06:11:28.226465Z",
     "iopub.status.idle": "2023-04-22T06:11:28.244321Z",
     "shell.execute_reply": "2023-04-22T06:11:28.243280Z"
    },
    "papermill": {
     "duration": 0.025211,
     "end_time": "2023-04-22T06:11:28.246701",
     "exception": false,
     "start_time": "2023-04-22T06:11:28.221490",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "studyName                0\n",
       "Sample Number            0\n",
       "Species                  0\n",
       "Region                   0\n",
       "Island                   0\n",
       "Stage                    0\n",
       "Individual ID            0\n",
       "Clutch Completion        0\n",
       "Date Egg                 0\n",
       "Culmen Length (mm)       0\n",
       "Culmen Depth (mm)        0\n",
       "Flipper Length (mm)      0\n",
       "Body Mass (g)            0\n",
       "Sex                      0\n",
       "Delta 15 N (o/oo)        0\n",
       "Delta 13 C (o/oo)        0\n",
       "Comments               204\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X = data.copy()\n",
    "X.fillna(method='bfill', inplace=True)\n",
    "\n",
    "X.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "0a22676d",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-04-22T06:11:28.256399Z",
     "iopub.status.busy": "2023-04-22T06:11:28.255972Z",
     "iopub.status.idle": "2023-04-22T06:11:28.265227Z",
     "shell.execute_reply": "2023-04-22T06:11:28.264161Z"
    },
    "papermill": {
     "duration": 0.016907,
     "end_time": "2023-04-22T06:11:28.267673",
     "exception": false,
     "start_time": "2023-04-22T06:11:28.250766",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0                         Not enough blood for isotopes.\n",
       "3                                     Adult not sampled.\n",
       "6                  Nest never observed with full clutch.\n",
       "7                  Nest never observed with full clutch.\n",
       "8                              No blood sample obtained.\n",
       "9                   No blood sample obtained for sexing.\n",
       "10                  No blood sample obtained for sexing.\n",
       "11                             No blood sample obtained.\n",
       "12                        Not enough blood for isotopes.\n",
       "13                        Not enough blood for isotopes.\n",
       "15                        Not enough blood for isotopes.\n",
       "28                 Nest never observed with full clutch.\n",
       "29                 Nest never observed with full clutch.\n",
       "38                 Nest never observed with full clutch.\n",
       "39     Nest never observed with full clutch. Not enou...\n",
       "41                        Not enough blood for isotopes.\n",
       "46                        Not enough blood for isotopes.\n",
       "47     Sexing primers did not amplify. Not enough blo...\n",
       "68                 Nest never observed with full clutch.\n",
       "69                 Nest never observed with full clutch.\n",
       "120                Nest never observed with full clutch.\n",
       "121                Nest never observed with full clutch.\n",
       "130                Nest never observed with full clutch.\n",
       "131                Nest never observed with full clutch.\n",
       "138                Nest never observed with full clutch.\n",
       "139                Nest never observed with full clutch.\n",
       "Name: Comments, dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.Comments.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e65ff502",
   "metadata": {
    "papermill": {
     "duration": 0.003931,
     "end_time": "2023-04-22T06:11:28.275763",
     "exception": false,
     "start_time": "2023-04-22T06:11:28.271832",
     "status": "completed"
    },
    "tags": []
   },
   "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": "3.7.12"
  },
  "papermill": {
   "default_parameters": {},
   "duration": 10.774069,
   "end_time": "2023-04-22T06:11:28.903394",
   "environment_variables": {},
   "exception": null,
   "input_path": "__notebook__.ipynb",
   "output_path": "__notebook__.ipynb",
   "parameters": {},
   "start_time": "2023-04-22T06:11:18.129325",
   "version": "2.4.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}