pokemon_data_analysis.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Pokemon Data Analysis\n",
    "\n",
    "This project examines a data set from kaggle focused on [Pokemon data](https://www.kaggle.com/datasets/rounakbanik/pokemon). The project is a demonstration of learning from Cambridge Spark's Data Analysis Skills Bootcamp."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set up\n",
    "\n",
    "We import pandas, numpy and matplotlib to import, clean, and analyse our data set."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can then import and view our data as a dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('pokemon.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "And view its first five records:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "\n",
       "    .dataframe thead th {\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>abilities</th>\n",
       "      <th>against_bug</th>\n",
       "      <th>against_dark</th>\n",
       "      <th>against_dragon</th>\n",
       "      <th>against_electric</th>\n",
       "      <th>against_fairy</th>\n",
       "      <th>against_fight</th>\n",
       "      <th>against_fire</th>\n",
       "      <th>against_flying</th>\n",
       "      <th>against_ghost</th>\n",
       "      <th>...</th>\n",
       "      <th>percentage_male</th>\n",
       "      <th>pokedex_number</th>\n",
       "      <th>sp_attack</th>\n",
       "      <th>sp_defense</th>\n",
       "      <th>speed</th>\n",
       "      <th>type1</th>\n",
       "      <th>type2</th>\n",
       "      <th>weight_kg</th>\n",
       "      <th>generation</th>\n",
       "      <th>is_legendary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>['Overgrow', 'Chlorophyll']</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
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       "      <td>0.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>88.1</td>\n",
       "      <td>1</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>45</td>\n",
       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>6.9</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>['Overgrow', 'Chlorophyll']</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>88.1</td>\n",
       "      <td>2</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>60</td>\n",
       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>['Overgrow', 'Chlorophyll']</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>88.1</td>\n",
       "      <td>3</td>\n",
       "      <td>122</td>\n",
       "      <td>120</td>\n",
       "      <td>80</td>\n",
       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>['Blaze', 'Solar Power']</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>88.1</td>\n",
       "      <td>4</td>\n",
       "      <td>60</td>\n",
       "      <td>50</td>\n",
       "      <td>65</td>\n",
       "      <td>fire</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>['Blaze', 'Solar Power']</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>88.1</td>\n",
       "      <td>5</td>\n",
       "      <td>80</td>\n",
       "      <td>65</td>\n",
       "      <td>80</td>\n",
       "      <td>fire</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 41 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                     abilities  against_bug  against_dark  against_dragon  \\\n",
       "0  ['Overgrow', 'Chlorophyll']          1.0           1.0             1.0   \n",
       "1  ['Overgrow', 'Chlorophyll']          1.0           1.0             1.0   \n",
       "2  ['Overgrow', 'Chlorophyll']          1.0           1.0             1.0   \n",
       "3     ['Blaze', 'Solar Power']          0.5           1.0             1.0   \n",
       "4     ['Blaze', 'Solar Power']          0.5           1.0             1.0   \n",
       "\n",
       "   against_electric  against_fairy  against_fight  against_fire  \\\n",
       "0               0.5            0.5            0.5           2.0   \n",
       "1               0.5            0.5            0.5           2.0   \n",
       "2               0.5            0.5            0.5           2.0   \n",
       "3               1.0            0.5            1.0           0.5   \n",
       "4               1.0            0.5            1.0           0.5   \n",
       "\n",
       "   against_flying  against_ghost  ...  percentage_male  pokedex_number  \\\n",
       "0             2.0            1.0  ...             88.1               1   \n",
       "1             2.0            1.0  ...             88.1               2   \n",
       "2             2.0            1.0  ...             88.1               3   \n",
       "3             1.0            1.0  ...             88.1               4   \n",
       "4             1.0            1.0  ...             88.1               5   \n",
       "\n",
       "   sp_attack  sp_defense  speed  type1   type2  weight_kg  generation  \\\n",
       "0         65          65     45  grass  poison        6.9           1   \n",
       "1         80          80     60  grass  poison       13.0           1   \n",
       "2        122         120     80  grass  poison      100.0           1   \n",
       "3         60          50     65   fire     NaN        8.5           1   \n",
       "4         80          65     80   fire     NaN       19.0           1   \n",
       "\n",
       "   is_legendary  \n",
       "0             0  \n",
       "1             0  \n",
       "2             0  \n",
       "3             0  \n",
       "4             0  \n",
       "\n",
       "[5 rows x 41 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Or its info:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 801 entries, 0 to 800\n",
      "Data columns (total 41 columns):\n",
      " #   Column             Non-Null Count  Dtype  \n",
      "---  ------             --------------  -----  \n",
      " 0   abilities          801 non-null    object \n",
      " 1   against_bug        801 non-null    float64\n",
      " 2   against_dark       801 non-null    float64\n",
      " 3   against_dragon     801 non-null    float64\n",
      " 4   against_electric   801 non-null    float64\n",
      " 5   against_fairy      801 non-null    float64\n",
      " 6   against_fight      801 non-null    float64\n",
      " 7   against_fire       801 non-null    float64\n",
      " 8   against_flying     801 non-null    float64\n",
      " 9   against_ghost      801 non-null    float64\n",
      " 10  against_grass      801 non-null    float64\n",
      " 11  against_ground     801 non-null    float64\n",
      " 12  against_ice        801 non-null    float64\n",
      " 13  against_normal     801 non-null    float64\n",
      " 14  against_poison     801 non-null    float64\n",
      " 15  against_psychic    801 non-null    float64\n",
      " 16  against_rock       801 non-null    float64\n",
      " 17  against_steel      801 non-null    float64\n",
      " 18  against_water      801 non-null    float64\n",
      " 19  attack             801 non-null    int64  \n",
      " 20  base_egg_steps     801 non-null    int64  \n",
      " 21  base_happiness     801 non-null    int64  \n",
      " 22  base_total         801 non-null    int64  \n",
      " 23  capture_rate       801 non-null    object \n",
      " 24  classfication      801 non-null    object \n",
      " 25  defense            801 non-null    int64  \n",
      " 26  experience_growth  801 non-null    int64  \n",
      " 27  height_m           781 non-null    float64\n",
      " 28  hp                 801 non-null    int64  \n",
      " 29  japanese_name      801 non-null    object \n",
      " 30  name               801 non-null    object \n",
      " 31  percentage_male    703 non-null    float64\n",
      " 32  pokedex_number     801 non-null    int64  \n",
      " 33  sp_attack          801 non-null    int64  \n",
      " 34  sp_defense         801 non-null    int64  \n",
      " 35  speed              801 non-null    int64  \n",
      " 36  type1              801 non-null    object \n",
      " 37  type2              417 non-null    object \n",
      " 38  weight_kg          781 non-null    float64\n",
      " 39  generation         801 non-null    int64  \n",
      " 40  is_legendary       801 non-null    int64  \n",
      "dtypes: float64(21), int64(13), object(7)\n",
      "memory usage: 256.7+ KB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Processing the data set\n",
    "\n",
    "As mentioned above, I'm only using a subset of columns from the dataset. My first move is to create a new dataframe which drops unnecessary columns.\n",
    "\n",
    "I want to drop any column that starts with 'against_'. For example, 'against_bug'."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>abilities</th>\n",
       "      <th>attack</th>\n",
       "      <th>base_egg_steps</th>\n",
       "      <th>base_happiness</th>\n",
       "      <th>base_total</th>\n",
       "      <th>capture_rate</th>\n",
       "      <th>classfication</th>\n",
       "      <th>defense</th>\n",
       "      <th>experience_growth</th>\n",
       "      <th>height_m</th>\n",
       "      <th>...</th>\n",
       "      <th>percentage_male</th>\n",
       "      <th>pokedex_number</th>\n",
       "      <th>sp_attack</th>\n",
       "      <th>sp_defense</th>\n",
       "      <th>speed</th>\n",
       "      <th>type1</th>\n",
       "      <th>type2</th>\n",
       "      <th>weight_kg</th>\n",
       "      <th>generation</th>\n",
       "      <th>is_legendary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>['Overgrow', 'Chlorophyll']</td>\n",
       "      <td>49</td>\n",
       "      <td>5120</td>\n",
       "      <td>70</td>\n",
       "      <td>318</td>\n",
       "      <td>45</td>\n",
       "      <td>Seed Pokémon</td>\n",
       "      <td>49</td>\n",
       "      <td>1059860</td>\n",
       "      <td>0.7</td>\n",
       "      <td>...</td>\n",
       "      <td>88.1</td>\n",
       "      <td>1</td>\n",
       "      <td>65</td>\n",
       "      <td>65</td>\n",
       "      <td>45</td>\n",
       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>6.9</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>['Overgrow', 'Chlorophyll']</td>\n",
       "      <td>62</td>\n",
       "      <td>5120</td>\n",
       "      <td>70</td>\n",
       "      <td>405</td>\n",
       "      <td>45</td>\n",
       "      <td>Seed Pokémon</td>\n",
       "      <td>63</td>\n",
       "      <td>1059860</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>88.1</td>\n",
       "      <td>2</td>\n",
       "      <td>80</td>\n",
       "      <td>80</td>\n",
       "      <td>60</td>\n",
       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>13.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>['Overgrow', 'Chlorophyll']</td>\n",
       "      <td>100</td>\n",
       "      <td>5120</td>\n",
       "      <td>70</td>\n",
       "      <td>625</td>\n",
       "      <td>45</td>\n",
       "      <td>Seed Pokémon</td>\n",
       "      <td>123</td>\n",
       "      <td>1059860</td>\n",
       "      <td>2.0</td>\n",
       "      <td>...</td>\n",
       "      <td>88.1</td>\n",
       "      <td>3</td>\n",
       "      <td>122</td>\n",
       "      <td>120</td>\n",
       "      <td>80</td>\n",
       "      <td>grass</td>\n",
       "      <td>poison</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>['Blaze', 'Solar Power']</td>\n",
       "      <td>52</td>\n",
       "      <td>5120</td>\n",
       "      <td>70</td>\n",
       "      <td>309</td>\n",
       "      <td>45</td>\n",
       "      <td>Lizard Pokémon</td>\n",
       "      <td>43</td>\n",
       "      <td>1059860</td>\n",
       "      <td>0.6</td>\n",
       "      <td>...</td>\n",
       "      <td>88.1</td>\n",
       "      <td>4</td>\n",
       "      <td>60</td>\n",
       "      <td>50</td>\n",
       "      <td>65</td>\n",
       "      <td>fire</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.5</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>['Blaze', 'Solar Power']</td>\n",
       "      <td>64</td>\n",
       "      <td>5120</td>\n",
       "      <td>70</td>\n",
       "      <td>405</td>\n",
       "      <td>45</td>\n",
       "      <td>Flame Pokémon</td>\n",
       "      <td>58</td>\n",
       "      <td>1059860</td>\n",
       "      <td>1.1</td>\n",
       "      <td>...</td>\n",
       "      <td>88.1</td>\n",
       "      <td>5</td>\n",
       "      <td>80</td>\n",
       "      <td>65</td>\n",
       "      <td>80</td>\n",
       "      <td>fire</td>\n",
       "      <td>NaN</td>\n",
       "      <td>19.0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>796</th>\n",
       "      <td>['Beast Boost']</td>\n",
       "      <td>101</td>\n",
       "      <td>30720</td>\n",
       "      <td>0</td>\n",
       "      <td>570</td>\n",
       "      <td>25</td>\n",
       "      <td>Launch Pokémon</td>\n",
       "      <td>103</td>\n",
       "      <td>1250000</td>\n",
       "      <td>9.2</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>797</td>\n",
       "      <td>107</td>\n",
       "      <td>101</td>\n",
       "      <td>61</td>\n",
       "      <td>steel</td>\n",
       "      <td>flying</td>\n",
       "      <td>999.9</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>797</th>\n",
       "      <td>['Beast Boost']</td>\n",
       "      <td>181</td>\n",
       "      <td>30720</td>\n",
       "      <td>0</td>\n",
       "      <td>570</td>\n",
       "      <td>255</td>\n",
       "      <td>Drawn Sword Pokémon</td>\n",
       "      <td>131</td>\n",
       "      <td>1250000</td>\n",
       "      <td>0.3</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>798</td>\n",
       "      <td>59</td>\n",
       "      <td>31</td>\n",
       "      <td>109</td>\n",
       "      <td>grass</td>\n",
       "      <td>steel</td>\n",
       "      <td>0.1</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>798</th>\n",
       "      <td>['Beast Boost']</td>\n",
       "      <td>101</td>\n",
       "      <td>30720</td>\n",
       "      <td>0</td>\n",
       "      <td>570</td>\n",
       "      <td>15</td>\n",
       "      <td>Junkivore Pokémon</td>\n",
       "      <td>53</td>\n",
       "      <td>1250000</td>\n",
       "      <td>5.5</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>799</td>\n",
       "      <td>97</td>\n",
       "      <td>53</td>\n",
       "      <td>43</td>\n",
       "      <td>dark</td>\n",
       "      <td>dragon</td>\n",
       "      <td>888.0</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>799</th>\n",
       "      <td>['Prism Armor']</td>\n",
       "      <td>107</td>\n",
       "      <td>30720</td>\n",
       "      <td>0</td>\n",
       "      <td>600</td>\n",
       "      <td>3</td>\n",
       "      <td>Prism Pokémon</td>\n",
       "      <td>101</td>\n",
       "      <td>1250000</td>\n",
       "      <td>2.4</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>800</td>\n",
       "      <td>127</td>\n",
       "      <td>89</td>\n",
       "      <td>79</td>\n",
       "      <td>psychic</td>\n",
       "      <td>NaN</td>\n",
       "      <td>230.0</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>800</th>\n",
       "      <td>['Soul-Heart']</td>\n",
       "      <td>95</td>\n",
       "      <td>30720</td>\n",
       "      <td>0</td>\n",
       "      <td>600</td>\n",
       "      <td>3</td>\n",
       "      <td>Artificial Pokémon</td>\n",
       "      <td>115</td>\n",
       "      <td>1250000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>801</td>\n",
       "      <td>130</td>\n",
       "      <td>115</td>\n",
       "      <td>65</td>\n",
       "      <td>steel</td>\n",
       "      <td>fairy</td>\n",
       "      <td>80.5</td>\n",
       "      <td>7</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>801 rows × 23 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                       abilities  attack  base_egg_steps  base_happiness  \\\n",
       "0    ['Overgrow', 'Chlorophyll']      49            5120              70   \n",
       "1    ['Overgrow', 'Chlorophyll']      62            5120              70   \n",
       "2    ['Overgrow', 'Chlorophyll']     100            5120              70   \n",
       "3       ['Blaze', 'Solar Power']      52            5120              70   \n",
       "4       ['Blaze', 'Solar Power']      64            5120              70   \n",
       "..                           ...     ...             ...             ...   \n",
       "796              ['Beast Boost']     101           30720               0   \n",
       "797              ['Beast Boost']     181           30720               0   \n",
       "798              ['Beast Boost']     101           30720               0   \n",
       "799              ['Prism Armor']     107           30720               0   \n",
       "800               ['Soul-Heart']      95           30720               0   \n",
       "\n",
       "     base_total capture_rate        classfication  defense  experience_growth  \\\n",
       "0           318           45         Seed Pokémon       49            1059860   \n",
       "1           405           45         Seed Pokémon       63            1059860   \n",
       "2           625           45         Seed Pokémon      123            1059860   \n",
       "3           309           45       Lizard Pokémon       43            1059860   \n",
       "4           405           45        Flame Pokémon       58            1059860   \n",
       "..          ...          ...                  ...      ...                ...   \n",
       "796         570           25       Launch Pokémon      103            1250000   \n",
       "797         570          255  Drawn Sword Pokémon      131            1250000   \n",
       "798         570           15    Junkivore Pokémon       53            1250000   \n",
       "799         600            3        Prism Pokémon      101            1250000   \n",
       "800         600            3   Artificial Pokémon      115            1250000   \n",
       "\n",
       "     height_m  ...  percentage_male pokedex_number sp_attack  sp_defense  \\\n",
       "0         0.7  ...             88.1              1        65          65   \n",
       "1         1.0  ...             88.1              2        80          80   \n",
       "2         2.0  ...             88.1              3       122         120   \n",
       "3         0.6  ...             88.1              4        60          50   \n",
       "4         1.1  ...             88.1              5        80          65   \n",
       "..        ...  ...              ...            ...       ...         ...   \n",
       "796       9.2  ...              NaN            797       107         101   \n",
       "797       0.3  ...              NaN            798        59          31   \n",
       "798       5.5  ...              NaN            799        97          53   \n",
       "799       2.4  ...              NaN            800       127          89   \n",
       "800       1.0  ...              NaN            801       130         115   \n",
       "\n",
       "     speed    type1   type2  weight_kg generation is_legendary  \n",
       "0       45    grass  poison        6.9          1            0  \n",
       "1       60    grass  poison       13.0          1            0  \n",
       "2       80    grass  poison      100.0          1            0  \n",
       "3       65     fire     NaN        8.5          1            0  \n",
       "4       80     fire     NaN       19.0          1            0  \n",
       "..     ...      ...     ...        ...        ...          ...  \n",
       "796     61    steel  flying      999.9          7            1  \n",
       "797    109    grass   steel        0.1          7            1  \n",
       "798     43     dark  dragon      888.0          7            1  \n",
       "799     79  psychic     NaN      230.0          7            1  \n",
       "800     65    steel   fairy       80.5          7            1  \n",
       "\n",
       "[801 rows x 23 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pokemon_df = df.copy()\n",
    "\n",
    "columns_to_drop = df.filter(like='against_')\n",
    "pokemon_df.drop(columns=columns_to_drop, inplace=True)\n",
    "\n",
    "pokemon_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, I'll drop another set of columns, such as 'abilities' and 'base_egg_steps'.\n",
    "\n",
    "My initial approach included the following:\n",
    "\n",
    "```python \n",
    "columns_to_drop = ['abilities', 'base_egg_steps', 'classification', 'experience_growth']\n",
    "pokemon_df.drop(columns=columns_to_drop, inplace=True)\n",
    "```\n",
    "\n",
    "However, I got an error here because of the spelling of classification. In the dataset, this was spelt as 'classfication'. Although convoluted, I decided to rename this column and then drop it. As this would give me a chance to showcase renaming."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 801 entries, 0 to 800\n",
      "Data columns (total 17 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   attack           801 non-null    int64  \n",
      " 1   base_total       801 non-null    int64  \n",
      " 2   capture_rate     801 non-null    object \n",
      " 3   defense          801 non-null    int64  \n",
      " 4   height_m         781 non-null    float64\n",
      " 5   hp               801 non-null    int64  \n",
      " 6   name             801 non-null    object \n",
      " 7   percentage_male  703 non-null    float64\n",
      " 8   pokedex_number   801 non-null    int64  \n",
      " 9   sp_attack        801 non-null    int64  \n",
      " 10  sp_defense       801 non-null    int64  \n",
      " 11  speed            801 non-null    int64  \n",
      " 12  type1            801 non-null    object \n",
      " 13  type2            417 non-null    object \n",
      " 14  weight_kg        781 non-null    float64\n",
      " 15  generation       801 non-null    int64  \n",
      " 16  is_legendary     801 non-null    int64  \n",
      "dtypes: float64(3), int64(10), object(4)\n",
      "memory usage: 106.5+ KB\n"
     ]
    }
   ],
   "source": [
    "pokemon_df.rename(columns={'classfication': 'classification'}, inplace=True)\n",
    "\n",
    "columns_to_drop = ['abilities', 'base_egg_steps', 'classification', 'experience_growth', 'japanese_name', 'base_happiness']\n",
    "pokemon_df.drop(columns=columns_to_drop, inplace=True)\n",
    "\n",
    "pokemon_df.info()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I want the Pokemon number to the be first column in the dataset, and the second to be its name."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, I'll clean up values.\n",
    "\n",
    "- I'd like 'is_legendary' to be `True` or `False`\n",
    "- type2 should either be a type or the string 'none', currently we have some `NaN` values\n",
    "- percentage male contains `NaN` values. I'd like to replace these with 0, if a pokemon is genderless, none of them are male!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "pokemon_df['is_legendary'].replace({0: False, 1: True}, inplace=True)\n",
    "\n",
    "pokemon_df['type2'].fillna('none', inplace=True)\n",
    "\n",
    "pokemon_df['percentage_male'].fillna(0, inplace=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now see significantly less null values when we check the table with `.info()`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 801 entries, 0 to 800\n",
      "Data columns (total 17 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   attack           801 non-null    int64  \n",
      " 1   base_total       801 non-null    int64  \n",
      " 2   capture_rate     801 non-null    object \n",
      " 3   defense          801 non-null    int64  \n",
      " 4   height_m         781 non-null    float64\n",
      " 5   hp               801 non-null    int64  \n",
      " 6   name             801 non-null    object \n",
      " 7   percentage_male  801 non-null    float64\n",
      " 8   pokedex_number   801 non-null    int64  \n",
      " 9   sp_attack        801 non-null    int64  \n",
      " 10  sp_defense       801 non-null    int64  \n",
      " 11  speed            801 non-null    int64  \n",
      " 12  type1            801 non-null    object \n",
      " 13  type2            801 non-null    object \n",
      " 14  weight_kg        781 non-null    float64\n",
      " 15  generation       801 non-null    int64  \n",
      " 16  is_legendary     801 non-null    bool   \n",
      "dtypes: bool(1), float64(3), int64(9), object(4)\n",
      "memory usage: 101.0+ KB\n"
     ]
    }
   ],
   "source": [
    "pokemon_df.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Finally, I'll inspect and address the remaining null values:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "20\n"
     ]
    }
   ],
   "source": [
    "null_vals_df = pokemon_df[['name', 'height_m', 'weight_kg']].copy()\n",
    "null_vals_df = null_vals_df[null_vals_df['height_m'].isnull()]\n",
    "\n",
    "print(len(null_vals_df))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Seeing that there are 20 missing entries and all of those have missing weight and height, I don't need to search for any other entries here.\n",
    "\n",
    "Reading through [the discussion](https://www.kaggle.com/datasets/rounakbanik/pokemon/discussion/115718) from Kaggle helped shine light on why these values were missing. (And also a limitation of the data set – that stats come from the Alolan version and not the original games).\n",
    "\n",
    "Now, my most sensible approach seemed to be to fill in these values from another source (Serebii / Bulbapedia).\n",
    "\n",
    "There's a couple of ways I could do this:\n",
    "1. Referencing specific names\n",
    "2. Collecting all heights and all weights into lists and zipping those with the df\n",
    "\n",
    "The first is the most likely to avoid inputting erroneous data but is tedious. The second will be much faster to code but more likely to result in mistakes. I decided to go with the second approach 😜"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "heights = [0.3, 0.7, 0.8, 0.6, 1, 0.6, 1.1, 0.2, 0.7, 0.4, 1, 0.4, 1, 1.4, 0.9, 1.2, 2, 1.0, 0.5, 0.8]\n",
    "weights = [3.5, 18.5, 30, 12, 29.5, 9.9, 19.9, 0.8, 33.3, 4.2, 32, 20, 105, 300, 30, 30, 120, 45, 9, 25]\n",
    "\n",
    "# Resetting the index for smooth zipping. Otherwise, the index is pokedex number and the values don't match up\n",
    "null_vals_df = null_vals_df.reset_index(drop=True)\n",
    "\n",
    "for i, (height, weight) in enumerate(zip(heights, weights)):\n",
    "    null_vals_df.at[i, 'height_m'] = height\n",
    "    null_vals_df.at[i, 'weight_kg'] = weight\n",
    "    \n",
    "merged_df = pokemon_df.merge(null_vals_df, on='name', suffixes=('_original', '_updated'))\n",
    "\n",
    "for i in range(20):\n",
    "    pokemon_name = merged_df.iloc[i]['name']\n",
    "    row = pokemon_df.loc[pokemon_df['name'] == pokemon_name]['pokedex_number'] - 1\n",
    "    pokemon_df.loc[row, 'height_m'] = merged_df.iloc[i]['height_m_updated']\n",
    "    pokemon_df.loc[row, 'weight_kg'] = merged_df.iloc[i]['weight_kg_updated']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There's a fair amount of wangjangling going on above. Let me try to explain what's going on.\n",
    "\n",
    "First, we set up two lists for the missing heights and weights.\n",
    "\n",
    "Next, we're gonna `reset_index()` on the existing df which contains those records with missing heights and weights. This is so that we can get the lists to match up. The default index is from the original df (corresponds to pokedex order and is pokedex number minus one).\n",
    "\n",
    "We then merge our pokemon_df with the null_vals_df on the records with names in common (i.e. the names of those with missing height/weight). For the duplicate columns we add suffixes to differentiate between the old value (NaN) and the new value.\n",
    "\n",
    "Finally, looping from 0 to 19, we extract the pokemon's name from the current row in merged_df. We find the corresponding row in the pokemon_df DataFrame using `pokemon_df.loc[pokemon_df['name'] == pokemon_name]` and store the pokedex_number - 1, i.e. the original index. We then update the height and weight columns using `.loc` with the row number and column name with a value referenced from merged_df."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Analysis\n",
    "\n",
    "For this project, I'd like to look at things like:\n",
    "- Average statistics per type, or generation\n",
    "- Distribution of stats amongst a type\n",
    "- Representing stats per type (e.g. with a bar chart)\n",
    "- Std deviation amongst a set of stats"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Distribution\n",
    "\n",
    "Determining distribution of defense stat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean: 73.00873907615481, Median: 70.0, Mode: 50, Min: 5, Max: 230\n"
     ]
    }
   ],
   "source": [
    "mean_def = pokemon_df['defense'].mean()\n",
    "median_def = pokemon_df['defense'].median()\n",
    "mode_def = pokemon_df['defense'].mode()[0]\n",
    "min_def = pokemon_df['defense'].min()\n",
    "max_def = pokemon_df['defense'].max()\n",
    "\n",
    "print(f'Mean: {mean_def}, Median: {median_def}, Mode: {mode_def}, Min: {min_def}, Max: {max_def}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "defence_counts = pokemon_df['defense'].value_counts().sort_index()\n",
    "\n",
    "def barchart(size, data, x, y, title):\n",
    "    plt.figure(figsize=size)\n",
    "    data.plot(kind='bar', color='firebrick')\n",
    "    plt.title(title)\n",
    "    plt.xlabel(x)\n",
    "    plt.ylabel(y)\n",
    "    plt.xticks(rotation=45, ha='right')\n",
    "    plt.show()\n",
    "    \n",
    "barchart((24,6), defence_counts, 'Value', 'Count', 'Defence stat distribution')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The graph above is neat enough. It could be clearer by arranging values into 'intervals' of 10 (e.g. 0 - 10, 10 - 20, etc). This may help to smooth out the curve."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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8IvPmzZNTp07JoEGDMi2Dj4+PvPHGG2kuMXQXK+Uhi/WziFgrD1nIcq+slIcs1s8iYq08ZLF+FhFr5SGLNbI8cL0C2s2ePVumTJki58+flwoVKsj7778vDRs2dHcsAAAAAA+gB7awAgAAAIDM8sDdYwUAAAAAmY3CCgAAAABMorACAAAAAJMorO5jSUlJ7o5gsFIWEWvlIUv6rJRFxFp5rJTl0qVL7o4AAMB9gcLqHmzfvl327t3r7hgiIvLTTz/Jm2++KdeuXXN3FEtlEbFWHrJYP4uItfJYKcsXX3whTz/9tKxdu9bdUURE5MiRIxIeHu7uGCJCloxYKYuItfKQJX1WyiJirTxkSZ+VsqShuCtz5sxRm82mzZo108OHD7s1y0cffaQ2m01LlCihb731ll67do0sFsxDFutnsVoeK2X57rvv1GazaZ48ebRt27a6fv16t2VRVZ07d656eHjouHHj3L7NkMX6WayWhyzWz2K1PGSxfpb0UFjdhX379mmlSpV09uzZGhISos2aNdNDhw65Jcv169d1xIgRunz5cn399de1evXqOmHCBLdsXFbKYrU8ZLF+FqvlsVIWVdXFixfrnj179NKlS1qxYkVt1aqV24qrTZs2aYECBfSpp55SLy8vHT9+vNuWC1msn8Vqechi/SxWy0MW62fJCIXVXfrnn39UVfXkyZOaP39+txZXERERxv+PHDnSrQdgVspitTxksX4Wq+WxUpbUjhw5opUqVXJbcXXq1Cn9+++/VfX/rh5w1xcqWayfxWp5yGL9LFbLQxbrZ8kIhdUdJCcnG/+fkJCgqjdXbGYWVykpKWna7FlUM/cAzEpZrJaHLNbPYrU8Vs+SOs/Ro0fdUlylzmX//7lz57rlC5Us1s9itTxksX4Wq+Uhi/Wz3A6FVTpSF1O3io+PV9XMK66SkpKM/8bHx2tcXJwxLLMPwKyUxWp5yGL9LFbLY8Us8fHxun//fj1y5IheunRJVW9+gSUmJqpq5hVXGe2D7TlUVefNm6c2m03DwsJcus2QxfpZrJaHLNbPYrU8ZLF+lrtFYXUL+0qMiorSKVOm6ODBg3XBggW6bds2Yxz7AZCriyt7lsjISO3Ro4fWqVNH27Rpo+PHjzfGSV3Bu/IAzEpZrJaHLNbPYrU8Vspin09ERITWrFlTK1SooP7+/lq/fn1dunSpMZ69+HJ1cWWfz40bN3TZsmU6c+ZM3bZtm/G+7T9uqbr+C5Us1s9itTxksX4Wq+Uhi/Wz3AsKq3RERUVpiRIltEGDBtqwYUOtVKmSli5dWj/55BNjnMw6c3Xjxg0tU6aMduzYUSdPnqwvvviiBgQEaKtWrfTkyZOq6ljRu/IAzEpZrJaHLNbPYrU8VsoSHx+vtWrV0k6dOun+/ft12bJlOmTIELXZbPruu+8a46W+LNDeocXGjRudlsNe5EVGRmqpUqW0Vq1amjdvXi1fvrw2bdpUjx8/buS1c9UXKlmsn8Vqechi/SxWy0MW62e5VxRW6Rg9erQ2bdpUb9y4oaqqe/bs0VdeeUW9vb115syZxnj2FXrixAmjuNq7d69TsyxbtkwrVKigly9fNtr27NmjRYsW1YYNG+rFixcdsqjePACrU6eOvvrqqw43wz9IWayWhyzWz2K1PFbKcvz4ca1cubJu377daIuMjNT3339fPT09dcaMGarqeFngkSNHtE6dOtqwYUPdtGmT07IkJydrjx49tE2bNnr9+nWNj4/Xr7/+Wlu0aKFBQUF69OhRVXW8XNJ+nX1YWJhxCSNZHo4sVstDFutnsVoeslg/y72gsEpHt27dtEePHg5t4eHhOm7cOM2RI4d++eWXRrt9haakpKjNZtP+/ftrVFSU07LMmjVLCxcubPxtPzX677//akhIiHbu3NkYlvqa0+rVq2vlypWNDe9By2K1PGSxfhar5bFSlgMHDqjNZtNVq1Y5tCckJOg777yjWbJk0V9++SVN1ldffVWzZMmiO3bscFqWmJgYbdCggb7//vtGW0pKiu7Zs0dbtGihRYsW1VOnThk57L9sLl++XG02m3744YcOX7RkebCzWC0PWayfxWp5yGL9LPeCwiod48eP1zp16ujZs2cd2s+cOaODBg3SRo0a6fnz5x2GrV69WrNkyaLff/+9U7Ps3btXc+TIoZ999pnRZj+o2bhxo+bNm1e/+uorh9fs2LFDc+XKpd98880Dm8Vqechi/SxWy2OlLElJSdqhQwft3r278UVld/HiRX388cd12LBhmpycbHx5HTp0SJs3b+5wH5aztG7dOs2PW6qq27Zt00aNGmmfPn2MM3n2PD/99FO6xSFZHvwsVstDFutnsVoeslg/y93yEKRRrVo1uXTpknzzzTcSHR1ttBcsWFA6d+4su3fvlvPnzzu85t9//5Uff/xROnbs6NQswcHB0qVLF/niiy9k7dq1IiLi6ekpIiJVqlSRkJAQOXbsmMNrcubMKZs2bZIuXbo8sFmslocs1s9itTxWyuLp6SmPPvqo7N27Vz7//HMJDw83huXPn1+CgoJk69atoqpis9lERKRkyZKyYMEC6datm1OziIg0atRIDh48KKtXrxZVNdpr1Kghbdu2lW3btklsbKzRHhUVJatXr5YVK1ZIq1atyPKQZbFaHrJYP4vV8pDF+lnumlvKufvAK6+8otmzZ9dPP/3U4Sa4y5cva5kyZXTDhg2qmvGzX5zpt99+0wYNGuhjjz3mcDmOqmq7du10woQJqnr7buIfxCxWy0MW62exWh4rZEm9Dxs9erQWK1ZMx48fb9wcrKo6btw47dq1q8bGxqZ5jSvExsZqnTp1tEqVKrp161aHSyH/+usvDQ4ONh7anvo1ZHk4s1gtD1msn8Vqechi/Sx3i8LqFqkPYIYMGaL+/v76xhtv6N69ezU2NlbnzJmj+fPnz5QHA6e2Zs0abdasmdaqVUunTJmif/75p06fPl19fX2d2ivX/ZbFannIYv0sVstjhSyp93uvv/66VqlSRWvVqqWjRo3SESNGaJYsWfSHH37IlCz2yyGjo6O1TJkyWr16dV2yZInxhfrhhx9qmTJl0lyOTZaHM4vV8pDF+lmslocs1s9yLx66wupufmm1r0xV1TfffFNr1KihOXLk0OrVq2uuXLnS3PfwX2X0K3R6T5dWVd2+fbuOGTNG/f39NTQ0VEuWLKlff/31A5fFannIYv0sVstjpSz2/VlKSkqaXKn/Tr3fW7Fihb700ktatWpV7datm1FUOeNM1d1Mw/7FGR0dra1bt9ZKlSpp4cKFtUOHDpo1a1anLRuyWD+L1fKQxfpZrJaHLNbP4kw21VQXLT7gkpOTxdPTU+Li4uTo0aNy5coVqV+/vojcvMcgJSVFPDxu3naWlJQkXl5eIiJy+PBh+eeffyQ5OVmKFi0qVapUcbjXwEyWGzduyNKlS+X06dNSt25dKVWqlBQpUsQhi31cu4iICImKihJPT08pUKCAcd3pf81jpSxWy0MW62exWh4rZbHPKyoqSkaMGCHh4eHi5+cn7du3l44dO0rWrFmNDKlz2cXFxYmXl5d4eXk5dT0lJiZKdHS03LhxQwoVKpQmr8j/7YMTEhJkw4YN8ttvv0lAQIBUr15dGjZs6LR9MFmsm8Vqechi/SxWy0MW62dxusyr4dzLXhlHRERo1apVtVy5curl5aWVK1fWqVOn6vXr11VVHXq9upvpmREZGaklS5bURx55REuWLKnlypXTatWqGc+EuTWL/f9dcb+FlbJYLQ9ZrJ/FanmslCU6OlpLlCihzZo109dff10bNGigVapU0W7duhmPhkh93fru3budnkHVcR/csGFDrVq1qvr4+Gjfvn115cqVxnjJycl3tRzM7IPJYv0sVstDFutnsVoeslg/iys8NIWV6s1nsjRu3Fi7dOmiBw4c0HPnzumzzz6rderU0d69e+vVq1dV9f9W0tdff61ffPGFS7KkpKTogAEDtGXLlsbBzdq1a7VXr17q6+ura9eudciyaNEiffTRRx0u13kQs1gtD1msn8VqeayURfXmAxPr16+vcXFxRtvHH3+sNWvW1FatWml0dLTR/ssvv2jZsmV11qxZLskSFxenVapU0c6dO+uvv/6qX3/9tT7yyCNar149h2eV2P3888+6a9cusjykWayWhyzWz2K1PGSxfhZne6gKq5MnT2rp0qV13bp1Rlt8fLxOmzZNa9eurQMHDjQOhMLDw7Vhw4Zau3ZtPXfunNOzJCYmaqtWrXTUqFEO7cePH9c+ffqov7+/bt261Rh37ty5Ghoaqtu2bXugs1gtD1msn8VqeayURVV1woQJGhoa6vCgxMTERF2yZInWrl1bBwwYYAzbu3evdu/e3Tiz5my///67li1b1uFZWQcPHtRBgwZp9erVdfbs2Ub73r17tVy5ctq1a1enPnSdLPdPFqvlIYv1s1gtD1msn8XZHqrC6ty5cxoaGqrz589X1f+7WTspKUnfeecdrV69ukPHFH///bf+8ccfLsvz7LPPaqtWrfTGjRsO7YcOHdJOnTpphw4djEsUY2Ji0jy480HNYrU87sqS3ultd2VJ73S8ldaR1fJYIYt9nX3zzTdauXJl/fPPPx22qdjYWH3nnXe0UqVKeuDAAaPd/sXlissrtm3bpnny5NHffvvNIeO///6rffv21SZNmjgUmHPnznVZkUcW62exWh53Zrn188hyuT/ykMX6WZztoSqs7JcCtmjRwrgsJvW9Bc2bN9c2bdo4fb637hDtf8+bN09Lly6tS5YsMZ4cbbdw4UItWLCgnj592qVZ7D766KNMz6KqaS5/sq+PTz75JNPzpC60U3NnloSEBD179qwlskRHRzt0uf3xxx+7ZZvJ6JrruXPnPtSfp4yWy8WLF7V48eL62GOP6eXLlx2GJSYmaq5cufSDDz5wapaMHDt2TENCQvTNN99U1ZvLz74M9+/fr8HBwTp58uQ0r3NFkeeuLOm9/ujRo5bJ4s51lN7lsO7Kk97nyV3rKfX3gf070krbzD///GOZz7Wq+5aN1bOw/80cD2Rhld7O2d52+PBhzZ07t/bt29cYZl9R8+fP1woVKjjcc+CsLAkJCXr69Gk9evSoxsTEGMM7d+6shQoV0p9++smh/ejRo1qkSBHduXOn07PExcXphg0bdN26dQ6/VD/++OOZliW1yMhIHTp0aJpf7TMzj33ZXL9+XStVqpTmWt7MzGL/Qo+MjNQ2bdro9OnT9eLFi27JYl8ukZGRWrlyZQ0ODtYTJ064JUvqPDdu3NDZs2frtGnTdMmSJcZwd32edu/erTt37nTYhjt16qQFCxbM1CzR0dH66aefalhYmK5evVqPHj2qqqq7du1SPz8/7dmzp8MzPxITE7VJkyb62WefOS2L6u074ZgzZ456eHjo0qVL04w7YMAAbd68uSYlJTntC/R2WWbNmuWWLCkpKQ73vLkji306sbGxunfvXodhmb2OVP9vG46IiNBPP/3UrXnsWaKiovTDDz/UEydOGNN2Z5YOHTrol19+aQxzV5aEhAQ9deqUnj9/3riMeObMmW7bZtIzY8YMtyyblJS0j7XI7Czsf93rgSus7Cvmxo0b+s033xgdUqQetmLFCs2RI4c+9dRTGh4ebgwfO3asNmnSxOEgyBlZIiMjtVmzZlqzZk318fHR5557Tnfs2GGM16JFCy1atKjOmjXLyDNr1iwtXLiww0GsM7JERERozZo1jWdytWnTxrjfQ/XmWTtXZ7lVr1691GazafPmzfXkyZMOw1q0aKFFihRxaZ7UX+jFihXTli1bGsNSf6CbNWuWacsmKipKS5Ysqe3bt9czZ86k2Tk1bdo0U5dLwYIFtVKlSurv768//vijw3iZsf2q/t+6iIyM1PLly2vt2rW1SpUqmj9/fl2wYIExXvPmzV2+bG7tZfSRRx5Rf39/rV27tr799tuZmsUuo54I169fr6qq69evVz8/P23RooV+9dVXeuDAAf3oo480R44cDvsAs+zbamxsrG7bts34hT31Nvziiy+ql5eXfvHFFw7tffv21X79+jktS+qCMywsTPv376+jRo3SM2fOqOrN9ZjZWaKiorR///7asmVL7dixo7F+MjOLXVxcnFasWFGbNWumGzZsMNqTk5MzNcut+5ouXbqoqmNvmZmVJ/V+pnTp0tq+fXs9dOiQw4HziBEjMnWbiYiI0KJFi6rNZtOePXs6ZM2s5ZL6eKZ169Zavnx5rVChgr722mtGcZWZ20zqPIMGDdIuXbro008/rUuWLDGO4V544YVMXzbPPvustm/fXnv27Klffvml27Kw/3WfB6qwsu8Qo6OjtXTp0mqz2fTDDz9Mc7NbSkqKrl69WvPnz6+1atXSbt266QsvvKDe3t76/fffOz1L+fLltWvXrrp582b95JNPtGTJkjp16lSH8fv27auVK1fWgIAAbdq0qWbPnt2o4p0lKirKuAHwzJkz+uuvv2rRokXTPGDt6aefdnmW1IYMGaKtW7fWjh07auPGjfX48eMOw/v166eVKlVyaZ6IiAgtUqSIduzY0WiLjo7WCxcuaGRkpNHWu3dvly4b+3YzduxYbdu2rdG+efNmXbNmja5evdpoe+aZZ1y2XOw5rl+/rkWKFNGuXbuqqmrPnj21evXqeu3aNYfxM2P7Vb3Z2UzdunW1a9euGhcXpydOnNDHH388zeepT58+Lt9m4uLitGbNmtqlSxe9cOGC/v777/ryyy+rzWbT0aNHG+NlxufpTj0R/u9//1PVm2fsGzVqpCVKlNACBQposWLFnPbAc3sO1Zv7mhIlSmjhwoV106ZNaX4YiIyM1FdffVU9PDx00KBB+uabb+rkyZM1S5Ys+vPPPzs1S2RkpJYrV06bNm2q3bt317x582qLFi2M8SIiIjI1S+nSpbVNmzY6efJkrVixojZo0MChUB89erRLs6S2d+9ezZEjhzZo0ECfeOIJh3sYrl69milZUv/oV7hwYYd9cGqxsbH6yiuvZMqyiY+P18aNG2unTp2MtsTERIdbB15++WWXZkldVBUuXFh79uypP/74o+bPn19//fVXY7zM+CzZ2Y+tunTpoqtWrdIXXnhBq1atanTwFR0dnWnrSPX/foBs06aNTpkyRVu0aKElSpTQ3r17GwXNqFGjMm3ZZPRYC/tVUK7Owv7XGh6owkr15s5oyJAh+uijj+oLL7ygHh4e+v7776fbk0h4eLiOGDFCO3XqpL179zZWojNPgb7wwgvatm1bh5vYw8LCNDQ0VGNiYhx21H/99ZfOnj1b58+fb/yC7MzT1P369dN27do5XILyxBNP6OzZs3XFihUOvSVu3brVZVlu9dlnn+mwYcP0xx9/1Hr16mmTJk00OTlZf/31V7106ZKqqv75558uXTaNGzdWf39/o23kyJHasmVLzZEjh3bs2FE//vhjY1hmLJvevXvrG2+8oao3z+hVqVJFg4ODNXv27A6XsW7ZssVlWW7cuKHFihVzOLj44osvtHjx4rpx40ZVvXmwY+fKdWS3Z88erV69uh4+fNhoGzx4sD777LP6xhtvOHTT6ur1tGXLFq1Tp45euHDBaPv99981S5YsarPZdPjw4Ub7H3/84dIst+uJsHfv3urv72/cJBwVFaVHjx7V7du3Gz9ipL6+3ayEhATt1auXNm/eXKtXr67FihXTjRs3pntJyNdff62tW7fWChUqaPPmzfW7774z8jhDXFycNm/eXDt16mQcqF68eFFz5cqV5lEars4SGxur9evX1y5duhhZdu3apXXr1jX2c/Z5LVmyxKVZ7BITE7VDhw46a9YsrV27tnbu3Nkoruz3Bi5dutTlWWJiYrRYsWL62GOPGW2LFy/WyZMn67hx4xx+ec+MZXP69GmtX7++sZ95/fXXtX379tqwYUN9+eWXjeOJxYsXuzTL9evXtXDhwsYPW8ePH9fSpUvruHHj0szH1duvqur48eO1TZs2xvZ77do1rVOnju7evVtPnz5tbDOuXi72ab3yyitpCvGWLVuqzWbT9u3bG8ddX331lcvzZPRYi+rVq2vr1q2N4srV2y/7X/d74Aqry5cv6zvvvKMfffSRqqpOmjRJbTZbmuLq1tOj9lPZzjzAuHr1qj733HP6ySefaEpKirFh/fLLL1qmTBnjoPR21wk78yD5m2++0Q0bNhjTXLZsmdpsNq1bt66WL19eg4KCdMqUKS7PcqvFixdrq1atVFX1+++/19atW2uRIkXUZrPpP//84/I8sbGxOnPmTM2aNatOnTpVBw8erJUrV9aZM2fqhx9+qH369NFixYrpwoULXZ7F/uDYVq1a6bhx4/Tnn3/WKlWq6MGDB/XgwYP6008/qZ+fnw4bNszlWbZu3apvvfVWmmlXqlTJodjKjO3Xbu/everl5WX07PnNN9+ozWbTxx57TLt27ao+Pj7ap0+fTMmzfv169ff3d+g59OLFi9q6dWudNGmS5syZU5ctW5YpWVTv3BPhY489luZMoyscPXpUBw8ebHwx1q9fX4sWLerw5Z56PxsREaEJCQlGL4nO3Af/8ssvWrduXeMeooSEBE1KStJGjRo5dOdrFxkZ6bIsq1ev1v79+zvs0+bNm6cFCxbU6tWra/PmzfWNN94wfml3ZRbVm5/b2NhYrVq1qu7YsUM3bNigderU0aefflq7d++uNWrUML4no6KiXJpl2bJlGhwcrP3791fVm/dXlC9fXmvVqqXBwcFapUoVnTJlinHg7so8KSkpunHjRs2bN68mJCToSy+9pBUrVtT33ntPBw4cqDVr1tR69eoZVzK4cj117tw5TeEwceJE9fPz02PHjqUZ39XradiwYdqoUSNjn//VV1+pr6+vli5dWsuXL6+NGzfWiIgIVXXt59ru6aef1meffVZV1fjcfPjhh9qqVSutXbu2jho1yji2c/Wyud1jLWrVqqX9+/c3ii5XZmH/634PXGGlqnrixAmH+6TefvvtdIur1D1kuWrl/f7778YvFfaNeteuXVquXDmHX/tT/+rtKhEREUaG3bt3q81m0+nTp2t0dLSeP39eX331Va1WrZqePn06Uzfmc+fOaaNGjYy/e/TooVmyZNHy5csbN9q76uGpdgkJCfrRRx+pzWbTUqVK6ZEjR4xhx44d006dOmmvXr00Li7OpcvGPu1PP/1Uq1Spou3atXO4rEz1ZiEaEhKihw4dytT1ZF8Hixcv1qJFixpnQDJTZGSkPv/88+rh4aHt2rVTm82m06ZNM4avWbNGs2bNapxRc6V9+/ZptWrV9LXXXtPffvtNL126ZFz2GxkZqY0aNdJ33nnHpRlSr3939BiZnoSEBN25c6fDvrZevXpatGhR3bBhg7EPSk5Odvhcu2Jbvnz5sr7wwgvG94F93h06dNCxY8dmOF9XZImJidG//vrLeM/fffed2mw2HTVqlH777bf6/PPPa+XKlXX58uUOWV31GbdPd8SIETpv3jxVvXnVREhIiGbNmtU4K6LqeGO+K9y4cUPnzZunNWrU0Lx582r16tV1//79xoFYv379tGLFinrw4EFVdf2yiYyM1Nq1a+s777yjzZo1082bNxvDVq1apTVr1tQZM2aoqmuXjf0AM/V8Dh06pFWqVDF6TEt9JsKewdlZ7NObMmWK1q5dW/v166dTp05Vm82mU6dO1V27dunKlSu1Tp06OnToUE1KSnLpOrL/UN29e3dt0aKFw/6ucuXK+uabb+rIkSO1SpUqRqHn6mVzN4+12L9/v6q6dvtl/+t+D2RhZZf6MrvUxVVkZKTOmTNHn3zyyUx72Fjqnd9vv/2muXPnNm5m//LLL7VVq1YOHWlkhltvWJ8xY4aGhoY67Mwzw+XLl7Vw4cJ65swZnTp1qvr6+uro0aO1ZcuWWqtWrTQdWrhKbGysfv3117pw4UJNSEhw+HAPGTJEK1SokKYnL1fZs2ePtm7dWrNkyeJwSZnqzV++S5YsadwAmtmOHj2qBQsW1AkTJqhq5u8EL126pL///ruuW7dO69Wrp1euXDGG/fXXXxoaGuqyHixvNWfOHK1SpYrmy5dPCxQooI8++qix3+nUqZO2b9/eqfOzfxGm3p+k/nLM7F4ab133t/6d+oDH/uW+ceNGTUpK0oULF+rbb7/t1DMNqd36Y0zq4Z07d9YXX3zR+HvdunUOnTc4O8utl+EkJyfrokWLjILGrnDhwvryyy87LUd6WW41duxYffzxx1VV9b333lMfHx8tXbq09uzZ0+hYw5V57OspJiZGZ82ape3atTPuJbUvt5iYGPXy8tK5c+e6NItdTEyMdu3aVcuVK6fFixd3+A5KSUnRRo0aOf3G+jttv6n17NlTy5cv79T53y6L/e8rV67omDFjtE+fPtqxY0d97rnnHMbr0aOHw73Brspj3y4OHz6svr6+Wq9ePR0wYIAWKVJEGzdurKo3i/Vs2bI59XOdet63Cg8P19DQ0Ex9rMXtetxTzdz9b0ZZ0isiXb3/dTcPeYB5eXlJSkqKiIi8+uqrMnHiRHnllVeke/fuMnjwYOnYsaPkyJEjU7J4ePzfovbx8RFfX1/Jly+fLF68WJ588knp06eP5MuXL1OyJCcni4hInTp1REREVUVE5MaNG1K5cmWHrK6mqpInTx6pW7eu9OvXT958801ZtmyZTJo0Sfr16ydZs2aVc+fOZUqWrFmzSrt27aRbt27i7e0tNpvN2H48PT2lXr164uXllSlZKlasKEOGDJGiRYvKxx9/LF999ZUx7Ny5c5I7d+5MyXErVZXQ0FAZOnSozJo1Sw4fPiw2my1TM+TNm1fq1q0rgYGBcubMGTl27JgxbN++fZIlSxbx8/NzaQb7Z2bQoEGyaNEiWb58uSxatEh+/PFH8fLykoSEBPH09DQ+Y86QkpIinp6eEh0dLc8995x89913InJz20xISBARkWXLlknZsmVlyJAhsmDBArl06ZKIiPz666+iqhIQEOC0PMnJyWKz2SQxMVHCw8NFRNJsC1myZJGkpCQREdm8ebMUKlRI+vXrJ0OGDJFnnnlGKlas6JTtJ70snp6eDuPYbDYji4+Pj7GNfP7559KsWTNjnboiy637VA8PD3nqqaekf//+xmtiYmKkSpUqUrZsWafkyCiLnf39Nm7cWIKDg+X999+X1157TVatWiWzZ8+WvXv3yocffijXrl1zaR5PT09JSUkRX19feeaZZ+SVV14xPjceHh6SnJwsV65ckbJly0rx4sVdmkVEjCzTp0+X5ORkOX78uCxbtswYbrPZpHz58lKgQAEREadsN3ez/dqziYhMmDBBLl++LDNmzDA977vJYrPZJDk5WQICAuTNN9+UBQsWSHBwsPF5sgsKCpL8+fNLQkKCyz9PSUlJUqpUKfn777+lYMGCEhcXJ7169ZL169eLiMjBgwclMDDQWE/OyuLh4SGxsbGyevVq+eSTT+TYsWMSHR0t+fLlk+XLl8uGDRvk+eeflwsXLji8tlq1auLv7+/SLP/++6/ExcUZ42Tm/je95RIbG2vs+zJr/2sJ7qroMlPqStp+Y6M7b4zbvXu31qtXT2fPnq0eHh66ePFit2VRvbl8FixYoLly5dKffvrJLRnGjh2rXl5eumLFCof2zLhE8naSk5N14cKFGhAQ4NAjnyul3g5WrVqlrVu31mzZsmmzZs20c+fOmi1bttveu5MZdu3apYUKFdK5c+e6bbs9c+aMNmnSRDt16qTjxo3TCRMmZOqyyeh9X79+XT/77DPNlSuX03+Fi4mJ0UceecS4OXvlypXGsNS/Trq6l8bUvU81bNhQX3zxxdueQU199UBQUJDabDajN1Kz28+9ZLGfBejSpYtOnjxZly1bpl5eXg7PBsqsLLe+7wULFmjRokV127ZtmZrl0KFDarPZ1NPT07gMUfXm/RG///67U7LcTZ7b/fo+f/58LV26tHEplauz2LfXM2fOaJkyZbRkyZI6ZswY3bx5s06fPl1z5Mjh0NmTK7Ok5/r16/rYY49l2IOiq7Kkvudl7Nix2qJFC921a5eeO3dOFyxYoH5+fk79nrzb9ZTetjN37lytWLGi0654Sd2lerVq1bRatWrq7++vBQsW1MWLFxtZf/vtN82VK5dLH2txpyypx1F17f73XrK4ev9rFQ9FYaV6c8VOmzZNbTab0aW6u26M27Jli9psNrXZbA5FlbuyvP766+rv728ceGVmjtTzSn0zrhWusf3tt9909OjR6ufnl+nLJvV8jh49qsuWLdNevXrpuHHjjK6z3b2MunXr5tDtrzt8//332qNHDy1WrJg++uijRmHurmVz7tw5HTt2rObIkcOp3Zir3nxPkyZN0qZNm+pnn32mTZo00TZt2jgUV6kvVXV1L42xsbHaunVrzZMnjxYtWlTfeOONOxZXH3zwgdpsNiOzs/Z795qlT58+WqhQIfXw8DB6p3JXlj179uicOXPUx8dHv/nmG9Pzv5csycnJmpycrPPnzzcKBVd+du512ezatUtnzZqlWbJkcfoPJnfKYu+E4Pz589q/f38tX768FixYUCtWrJjp6yk99s6nUj+UPDOy2LePU6dOadGiRTUkJETLlCmjRYoUcdrB+n/JY3f06FF95513XPJ5unHjhtaoUUN79Ohh3P/97LPPaunSpR0KmaNHj2rjxo1d9liLe8li58r9771mceX+1woemsIqLi5O33zzTV2yZImquncl7t+/X0uVKqW//PKL27P88ccfOnbsWF27dq3bslj1w/T777/ryJEjjV/gMnvZ3G5e7txmbt1RuiNH6nlGRUVpVFSUJXoSiomJ0XXr1hkdezg7y5YtW4zOOnbv3q2NGzdOU1yl7pXqVs7MsmbNGm3atKn+9ddf+u6772rBggV13LhxGXaQceXKFX3ssceM3jWduWzuNou9kOjSpYvabDbjYdfuyKJ686DxhRde0CpVqjj84Ocsd5sl9S/arnSvy2bQoEFaqlQp/fbbb1U185eNfbkkJCRoVFSUHj9+3LgX2l3bjH3eERERTjuDd69Z7MslPDxcFy5cqMuWLdPdu3cb2dy1n0lKStJffvlFn3jiCZdclTRz5kx99NFHHYrZU6dOaUhIiNHznf2szI0bN1z6WIu7yZKaK/e/d5vFvv/t2rWry/a/VvDQFFaqrulS/b9OK/WTp92dJfVN7s7cuK30YfmvWew9OlphPbmClbKo3lseV+d2xrJxdsaUlBSHg+AdO3ake+Zqz549Tp1ves6fP68rVqww8kydOvWOBz2pe+hy5rK52yypf21ftWqVJbJcvXrVeF6Su7LcmslV7nXZXLlyRQ8cOGC0uWPZ3KmDgMzMkhF3LJfMKsbvdZuJi4szOjRy9jYzZ84cfemllxw6Frl8+bLmyZPHaZeGuipLcnKyy/a/95rl9OnTxtUuVjsGcYb7orBKvdDdvQJu7Vr1Xne69tc5432YzeJsVspDFutnUbVWHitluZPUX0bbt2/XJk2aaNu2bfXHH3/UDz/8ULNly6b//vtvphSfqaX+Rdn+49GyZctc8sv6f81i/2Xd/hpXLKO7zZLeL8vuymIvYKySJzN+HLDSsrkfs2TG5/pe8uzbt8/lWeyPybHvO2JiYrRChQoOPa7u3btXL168aJksmXGv+t1myeievQdJ5nRxZkJycrLR61VSUpJky5ZNUlJSMrXnOruU/98rV1RUlIwcOVKuX78u8fHx8uKLL0rNmjUlW7Zsd5yGvQcWsz2xOCOLM1kpD1msn8VqeayU5W7Y9x8pKSlSvXp1effdd+WVV16RIUOGyKlTp+TLL7+UYsWKZWoODw8PefHFF0VE5P333zd67poyZYqsWrVKypUrZ5kst77GCllc5V6yOLNHQmfksUqWX3/91eXLxkrr6V6Wi6s/1/eSZ9WqVVK+fHmXZFBVsdlskjVrVuP/7e3JyckSHx8vIiILFiyQN954Q3755RfJnz+/ZbIEBgZaJkvBggVFxHX7X7dzW0l3F+yVbFRUlDZo0EB79+5tnMrM6NdkV1e/0dHRGhoaqm3atNEhQ4Zohw4dNEuWLDpmzBj9559/HHKkfhDbg57FannIYv0sVstjpSz/xYgRI9Rms+kPP/ygqpn/a2DqZTFt2jT19PRUm83m9Ju2yfJgZLFaHrJYP4sV80RGRmpQUJBu2bJFv/zyS/X09NTPPvuMLBbKktksXVip3jy9+Oijj2r+/Pm1bt26OmTIkDsWVwcOHHC4h8mZpk+frjVr1nRomzVrlhYpUkSff/55/ffffx2G7dy5U2fMmOHQFfKDmMVqechi/SxWy2OlLPdq7ty5arPZjJ7T3HWJhX2fPGfOHPXy8nLrzclksX4Wq+Uhi/WzWC1PdHS01qlTRwcMGKCenp5G1+HuWC5ksQbLF1bfffed1qlTR3/55RedOHGi1qlTRwcPHmwUV7c+nTw6OloDAwP1iSeecEmeSZMmaa1atTQuLs7h5s2PP/5Yg4KCdPLkyQ65nnrqKc2fP7/RY9mDmsVqechi/SxWy2OlLPfq2LFjxjOI3H3d+o4dO9Rms+nnn3/u9jxksX4Wq+Uhi/WzWCnP1atXjWdD2bt3J4u1smQ2yxdWSUlJxgdHVR2KK/sBza1nrn766SetVauWS27ynDt3rvr5+em5c+dU1fGhnJMnT9asWbM6XDakqlqrVi398MMPH+gsVstDFutnsVoeK2T5L188qX9cssoXl305WSEPWayfRdVaechi/Syq1skzePBgt12CTRbrsVRhdTcLPTExUSdNmpTmzJX9wXSqN7tyHDVqlF69etXpGRMSErRhw4Zap04dY96pe0MpVaqUcaBlPzBbu3atnj179oHOYrU8ZLF+FqvlcUcWq/VEmN4+2EwmM1+kZLF+loxez7Ihy72+/n5cNuk905Eszs9yv8n8rvUykJycLDabTeLj42Xbtm2yc+dOuXjxYppxvLy85KWXXpIOHTrIzp075bXXXpNJkyZJ9+7dZf369SIiUqhQIQkLCxN/f3+n5/T29pZXXnlFUlJSpHv37hIVFSVZs2YVEZG4uDjx8/MTPz8/ERHJkiWLiIg0adJEgoODH+gsVstDFutnsVqezM6SkqonwgEDBkjXrl2lY8eOsnHjRomJiXHOm7oH9n1wYmKiXLhwQc6dOyciYqoH1v/a6xNZrJ/FannIYv0sVstjNsut49lsNrI4Ocv9yBLdrauqeHp6SmRkpDRp0kSioqIkOjpaRETee+89efTRRyVnzpzi6ekpSUlJ4uXlJS+//LJ4eHjIu+++K5cvX5avvvpKmjRpYnTH6evr67K8LVu2lIiICHn//feldu3asnDhQvH29pY9e/bI0aNH03SF6soNykpZrJaHLNbPYrU8mZnFw8NDbty4IVWrVpVSpUpJ8eLF5cyZM9KyZUt58cUX5ZlnnpGSJUuKyM19pKqKh4eHSx43YS/yIiMjpVOnTnLu3DlJTk6WkiVLyowZM6RIkSLi6enp1HmS5f7NYrU8ZLF+FqvlIYv1s9y33HzGzJCQkKANGjTQLl266NGjR/XPP//UUaNGqaenp77++usOD1uzn2Z899131Waz6YoVK1TV/OnGjE5z3noPg71t69at+thjj2nOnDm1WLFiWqRIEV2yZMl/nr9Vs1gtD1msn8VqeayUJTUr9UQYGxurVapU0a5du+qPP/6oX375pVarVk1DQkJ0+fLlGhcXZ4xrX55RUVFOz0GW+yOL1fKQxfpZrJaHLNbPcj+yTGEVHh6uFSpU0FWrVjm0z5kzR729vfXNN9/UpKQk4+Bn3bp1Ds8uMFtU2Q+wYmJi9KuvvtLFixfrmjVrbjuu3datW3Xfvn1Ou5HSSlmslocs1s9itTxWynIrK/VEuG3bNi1VqpQeOnTIob19+/ZaoEABY99sf//btm3T5s2b66VLl8jyEGaxWh6yWD+L1fKQxfpZ7keWKKxSUlL0yJEjmj17dl29erWqOvbINWPGDPXw8ND169c7vG7nzp3G651xk15kZKSWKlVKa9SooYGBgVqwYEHt2LGjhoeHpxnXVayUxWp5yGL9LFbLY6Us6bFCT4R2a9as0Zw5cxpXB9g77lBVbdOmjRYvXlxv3LhhtP3zzz9qs9nI8pBmsVoeslg/i9XykMX6We5HbimsUh/ApL5Ep3Pnzlq1alXjYCchIcEY9uSTT2qzZs00JibGof3W6f1XycnJ2qlTJ23btq3GxsbqqVOndO3atVq8eHGtVauWHjlyxGH86dOnG78mO5uVslgtD1msn8VqeayU5VZW6hUxNjZWQ0JCdPDgwUab/ZKP2NhYLVGihL788suqqsbZtY8++khffPFFp1+aSBbrZ7FaHrJYP4vV8pDF+lnuR5leWNkvaUlMTNSEhAS9cuWKMex///uf1qlTR5966im9fPmyMZ6q6oQJE7RWrVou+1U5KSlJmzRporNnz3ZoP3v2rJYpU0br1atnbFhxcXH65ptvqs1mS3MPxIOWxWp5yGL9LFbLY6Us6bE/d69169YaGRlptMfExGj16tV1wYIFDuO7Yh+YnJysKSkpOnPmTK1YsaK+9957xjD7D1k9evTQnj17Orzu0KFDDmf9yPJwZLFaHrJYP4vV8pDF+lnuV5na3Xrq3kY6d+4sDRo0kPr168u4ceMkPDxcmjVrJk8//bQcOnRIhgwZIuHh4eLldbPjQk9PT/Hz85OoqChRVadns9lscuHCBdm1a5fRlpycLMHBwfLzzz/LiRMnZNiwYSIi4uPjIyNHjpQjR45IsWLFHugsVstjlSyq6tYsqT8DKSkpbl8uKSkpDtncnSc1K2VJT8uWLWX48OFy5coVqV27tvz111/y999/y9dff51pvSJ6eHiIzWaTjh07Sv369WXJkiUyefJkEbnZDb2ISK5cucTb21uSk5ON9V26dGnJly8fWR6yLFbLQxbrZ7FaHrJYP8t9K7MruZiYGC1Xrpx27txZZ8+ere+++676+flpy5YtdfPmzaqq+sknn2jdunW1QIEC+sILL2j//v3V29tbv//+e5dksl+OOGvWLC1TpowuW7bMGGY/YzZv3jytXLmynj59Os3rnfkQNvvf7shyu9e7I8+tHQnY5+fOLKk7UHF3loSEBIdl5K5txp7hxo0beubMGbfmyaj3PytlcXdPhKnnm57jx4/r8OHDtUSJEtqpUyedP3++hoWFqbe3t/7yyy9keQizWC0PWayfxWp5yGL9LA+KTC+sVqxYoWXKlHG4BPDQoUNarVo1bdasmf7111+qqrp//359+eWXtUWLFvrkk0/qTz/9pKrOOwhM7+9Dhw5p+/bttU2bNmk2mpUrV2pQUJCeOnXK1PzTm3diYqJeunRJL1++bLTt27cvU7OkzhMfH6/79u3Tbdu2GZdIZXae1J0OzJ0712GYu9bT9evXtVevXrpnzx63ZbEfrEdGRurjjz+us2fPNtoyO4vq/y2bqKgoDQ4O1ooVKxpt7lpPMTEx+sMPP+jcuXONm2/379/vtixW6IkwoyLPPv1b///SpUu6fPlyrV27tlauXFnr16+v3333XZrxyfJgZrFaHrJYP4vV8pDF+lkeVJleWH3zzTdauHBh41pM+41uhw4d0nLlymmHDh0cVnzqgwqzBxip+9sfNGiQHj9+XFUdD2w2b96sDRs21FatWumiRYuM+c6dO1crVqzotJvGUx8g2zvtqFSpkg4ePNi4eX3Tpk2ZkiV1noiICG3SpIlWqFBBQ0JCtEmTJhoTE6Oqqr/99lum5UlJSdHk5GStWbOm2mw2HTVqlMPwzMpi3zYiIiK0YMGC+uijj6YZZ+PGjZm2XFRvbr8lSpTQLl266IEDBxy66d6wYYM2bNhQW7Zs6fIsqZdN4cKFtWjRolqhQgVdt26dMU5mrSf7fiEiIsL4LOXNm1fz58+vJ06ccEsWq/REmHq/N3bsWO3Zs6e+/fbbunbt2jTj3lrkqd4sDu3PKHHmPpgs1sxitTxksX4Wq+Uhi/WzPMgyvbDatWuXent76+eff66qN1eO/cBw165d6uXlleZmbWe6ceOG1qpVS202mzZt2tQ46Ep9cLp161Z98sknNV++fFq5cmVt27at+vr66tKlS52Swb4xRkVFaenSpbVz58767bff6rhx4/SRRx7RmTNnZlqW9PJ069ZN//rrL122bJmWKFHCOFuoevPgtFevXi7Nk9pzzz2nTz75pObOnduhhxpV1e3bt7s0S+oD5GLFimmXLl2MYfYdjH27yazlkpKSokOHDtX27dsbbUeOHNGtW7fqtWvXVFV1x44d2qtXL82bN6/LsqQuxIsUKaI9e/bU6OhoLVWqlD7zzDMO42bGNqx6s7eimjVr6tNPP63nzp3TS5cuadWqVXX69OkOWVy9bFSt1xOhvRhv0aKFdujQQZs2bap+fn46bdo0Y5zUX5L2TjTsX67O/AIli/WzWC0PWayfxWp5yGL9LA+qTC2s7Ctk9OjRGhgYqL/++quq3jwIsR+gtmnTRocMGeKS+SclJemoUaO0efPmOn36dG3evLk2bNjQOHOVurg6d+6cbtq0SQcPHqxTpkzR9evXO7wHsxITE7Vv377aoUMHh+7ju3Tpoh06dHAY19VZVG/er/PYY49ply5dHLrLbNGihX7//fe6bt06o6fGs2fPujyPfVqDBg3SESNG6I8//qg+Pj46bNgwVb3Zg+S1a9f04sWLLs0SHx+vwcHBWrlyZaNt/Pjx2r59e61WrZq2b99ez58/r6qqp06dypTl0rp1a50zZ46qqj777LNaoUIFzZMnj+bJk0fnzJmjycnJeunSJZdniY6O1ty5c2vXrl2NtgULFmiBAgX0999/dxg3M7bhrVu3apUqVfTo0aNGW69evXTq1Kn6zjvv6J9//qmqqleuXNGNGze6NIvVeiJ866239JFHHjHOPp87d07fffdd9fT01PHjxzuMu3TpUvX39zd+dCLLw5fFannIYv0sVstDFutneVC55TlW+/fv1549e2rp0qWNJzjbdejQIc1lX8708ccf6+TJkzUpKUlXrlypTZs2zbC4upUzT31evHhRBwwYoB9//LHDfL/77jtt0KCBJiQkZFoW1ZuF1fvvv+9w/8myZcvUy8tLy5Ytq6VLl9Y8efLorl27MiWP/YzI0qVLdfjw4aqq+tVXX6mvr6/WqFFDg4OD9cCBA5mSpWvXrpo/f35dvXq19ujRQytUqKBhYWH6+uuva+3atbVgwYLGvTyuzJKSkqKxsbHaunVr/fbbb3X+/PlasWJF3bRpkx47dkxHjRql+fLl0y+++MLlWVRvFrdjx451aNuzZ48WLVrU6KI1M7fhFStWqKenpx47dkxVVX/++Wf19PTUJk2aaLVq1TRHjhw6Y8aMTMmSnJysZcuW1QEDBhht9l/8/v33Xy1YsKD279/fGHbjxg2HgtDZBg4cqG3btnVoS0pK0rlz56rNZtOPPvrIaP/zzz+1Vq1aGd4TRpYHP4vV8pDF+lmslocs1s/yoHJJYZX6nqiM/PXXX/r0009rtmzZdOLEibp06VL98MMPNWvWrOle7/lfLVu2TL/88kuHttRPkV6+fLk2a9ZMGzZsaFTlSUlJDp1ruCJLbGys/vzzz8avBnZff/21VqhQweH6VnuR4exTsLcum/j4eGO+f/zxhwYFBel7772nx48f1+vXr2vr1q21Tp06LjkVnN56Ur15/1KFChWM5dS9e3f18vLS1q1bG+Pc7mZMZ2Xp2bOn2mw2feSRRxwu4zp9+rRWrlxZe/fu7ZJrjtPL0qdPHy1VqpQOHz7c4bJRVdXBgwdraGhoutdHOztP6jOtqd+3/Yz0uXPnXJIhvSz2DHXr1tUcOXJo9+7d1cPDQ+fMmWM8IX7s2LGaL18+vXTpklNzZLTO3dVLY3pmz56tISEhevjwYYf22NhYff3117VkyZJ66NAho93+sGKyPJxZ3JknvdeTJf17XthmyHI/Z3lQOfU5Vin/vz97+3NW7P9NTk5O3b27iIjUrFlT3n77bXnnnXdkzpw5Mm7cOJk/f758/vnn0rRpU6c9q+rixYuyaNEiiYmJMaaZNWtWI1OHDh1k2LBh4u3tLb1795aTJ0/K7NmzpWHDhhIVFeWUDLdmiY6OlqxZs0qbNm3E19fX4b16eHhIUlKS8ffnn38unTt3Np5V5Io8N27cEBGRLFmyiKenp4iI5MmTRz7//HMZOXKkFC1aVHLlyiX16tWTxMREh3zOzhITE2O02Z815OPjI76+vvL+++/LihUrZPjw4bJlyxYZMGCAiNxcZq7KYt9OvvzySxk9erR07txZQkNDjXVWqFAhCQ0NlStXrojNZnPZOkq9/b722muSPXt2+eCDD4zllZiYKCIibdq0kWzZsjksR2fnWbhwody4ccN4poXIzc+6PV/Xrl0lICBAfvjhBxFxfMaVs7OkXjY2m03WrFkjH3zwgXTs2FHq1asnTzzxhLFO7Mvm+vXrTsuQnJwsNptNEhIS5Pjx43L8+HFJSEgQEZFmzZpJiRIl5JNPPpFVq1aJiBjP5StQoIBcvHgx3f2cmW0oo2VdqVIlCQoKkk8//VTOnTtntGfNmlU6duwoUVFRcvr0aaM9Z86cprOkfm+p/79atWpSoEABt2VJrUqVKpmeJaN1VLly5UzPIvJ/38/2ZWT/2x3rKfXn6cqVK0a7O7PEx8fL33//7fYsnp6eEhUVJVOmTDHaq1at6pZt5nb7Gat8ntyxz7NSFivtfx82TjsiTU5OFg8PD7lx44ZMnTpVxowZIzNmzJCrV68aB+siN1eOfcddqFAhGTZsmOzYsUP++OMP+fXXX6VLly5OfQBw1apV5caNG3Lx4kWHeXt6ehrzsRdXPj4+8sgjj8jIkSPlpZdeEj8/P6flSJ3l0qVLIiJGgZJ6gw0ICBBfX1/x9PSUhQsXyjPPPCNdunRxevGQOk94eLiIOH7BlihRQpo3b278LSISExMjFStWFL15ptMlWS5evGhk8fT0lBIlSkixYsWkZcuW8uqrr8rSpUtl6tSpMnv2bFmwYIEcOHDAqTluzeLp6SlxcXEiIjJx4kQZMGCAUUDZd6K5c+eWcuXKiUjGB3DOyGIvXkJCQmTo0KFStGhR+eyzz+TMmTNGkXP06FHJmTOnJCcnu+RB2lWrVpWYmJg024zI/23H1apVk9DQUFmwYIGIOL/wTZ0l9bJJSkqSbNmySd++fSVbtmxy7tw5yZ07t/j6+oqIyPbt28Xf31+yZ8/ulPmnpHrgeYsWLaRz587Srl07qVWrlvzxxx9SunRpef311yUmJkamT58un332mYjc3EbOnj0r+fLlc9g3mmXfB8fGxsrSpUtlyZIlsmbNGhERqVevnnTt2lWWLl0qn376qZw6dcp4XdmyZSVfvnwSHR3t1Cz2dSLiuN+vXbu2dOnSRb7++utMzRIfHy9//vmnrFmzRo4ePSoiIo888oh07tw5U7PY19Fnn30m8+bNk+XLl4uISN26deXxxx/PtCx29gP2Jk2ayIYNG4xt0h3rydPTUyIiIqRkyZKyceNGY1hmZ0n92W7atKksXrxYjh8/bmTJzPWUuqiqV6+ejB49WtauXSsiInXq1MnU5WLPYz/We/XVV+W5556TUaNGicjN/Yy7Pk/Lly+Xb7/9VtavX29kyex9HvtfiIhzHxAcFRWloaGh2qRJE61evbpWrlxZAwMDM7y0L/WlRK7UvHlzh2tKb+3O3e6pp55Sm82mK1asSDMsM7Koqv74449av359/fjjj9XT01MXL17ssix3k8du4cKFmjt3bl29erVLcqSXJSEhQWNjY7Vjx46aP39+XblypTEsKSnJpZea3Zolo3uFFi1apAEBAbphw4ZMy6J6s1fCL7/8UkuVKqUFCxbUZ599VgcOHKjZsmXT5cuXuyxLenlSbzP2/9+7d6/mzJlTFy5cmKlZ7JfLnD17VsuWLaudOnXS77//Xt9++2318/Nz+kPGY2JitEqVKtqzZ0/dsWOHbty4UVu3bq358+c37p/ctm2by3uMvF0X7+3atdPr16+r6s2OV0qWLKl9+/bVP/74Qy9fvqwfffSRBgQE6O7du52SJXWXvi1bttRXX33VGJZ6n//GG29oqVKlMiVLZGSk1qxZU2vVqqWenp7avHlzo2fazM4SERGhFStW1Lp162rx4sW1UqVKxraiqjpu3DiXZ7mVvfOUfPnypbmf4o033nD5NpP60Q1FixZNs7+ze+211zJt2dy4cUPLlCmjHTp00OvXr6f5Dh43blymLpeCBQtq06ZNtXz58g6fKdXM2X5VHfczZcqU0aZNm2rXrl01V65cDr322i8pc2We1FnKli2r9evX19DQUC1atKh26NDB6CU3M/Z57H+RmlMLq6FDh2qjRo00OTlZExIS9NSpU8Z9VN9++63DuPPmzdNmzZppdHS0MyM4sG9gmzdv1mrVqunUqVPTDFO9+aFYsGCB2mw2/eabb4w2V3TGcKcsy5YtU5vNpjabzaGocnZhdbd5du3apaNHj9bcuXMbB4KZmUX1Zkcf27dvz/D1mbWeUs9n586d+uKLL6qfn5/Lupq/03JJSkrS8+fP64gRI/Txxx/XPn36GJ2PuKIQv9ttRvVmT0N169bVrVu3Oj3HnbKkpKRoXFycfvHFF1qjRg0tWLCg1q1b1yg4nbls1qxZow0aNHC4b2v58uVqs9k0ICBAlyxZoqqZ02Pk7bp4r1atmp48eVJVb15j37JlS/Xw8NAKFSpo3rx59auvvnJaDtWbBWeLFi00Z86c+sgjj+iECROMYal7HZ07d67Ls9y4cUOrVq2q3bp101OnTunWrVv18ccf16eeesphu82MLNHR0Vq5cmXt1q2bRkVF6bFjx7Rly5b61ltvOYw3c+ZMl2dJbd68edq6dWsdPny4+vv7p/kBbf78+dqiRQuX5omMjNTixYtr586djbbjx4/r33//7XDPx4wZM1y6bOyfyY8++kibN29utH/99dc6Z84cff/99422jz/+2GXLxZ7j+vXrWqRIEeNxHzNnzlQ/P780nTdlxvarevNHxrZt2+rjjz+uqjd7NX377bd10KBBDuPNmzfP5dtMQkKCNmnSRLt06aJxcXF69uxZ/e6779Rms2mbNm2MTslmzZrl8mXD/hd2Ti2sevTooUOHDk3TPmjQIM2RI4du27ZNVW8eEK5bt07z5s2rf/31lzMjpOv69ev6wgsvaMOGDR1+QU99M+js2bP1hx9+UFXXPvjsTlm2b9+upUuXdjhr5sqbBm+XJzExUVevXq3PP/+8wwF7Zi8bd7jTcvn555+1X79+xjO+3LFcbi1mUnca465t5tbxXO1224y9F8WTJ08ajwpw9rL55JNPNHfu3A4d4uzbt08HDhyonTp10rx58xrzvpWzs9ypi/fatWsb28zFixd18+bNumnTJt2/f7+Rx1k+/fRTrVu3rv7www86YsQIrV27doZf7pcvX3ZZlpSUFJ04caK2aNHCYT2sXLlSfX19jQOvzMoyduxYbdWqlfFsGFXVF154QQcNGqSTJ0/WDz/80Gi/cOGCS9dRan/99Ze2a9dO9+/frz169FB/f3/du3evfv3110bPva5eNt26dVObzWY8hmDgwIFat25d9fT01IoVKzr0sOnq7Vf15hmpbt26qapqt27dtFKlSlqtWjXNkyePVq5cWQ8ePOjyLHFxcVqpUiV97LHHjLY9e/ZouXLljOcOZdZnyS48PFzr1Knj0KPz+PHjtV69etq9e3ft1auX8diIS5cuuTTPyZMntVatWvr3338bbfb9Xfbs2bV+/foOuV2Zhf0v7JxaWPXr10/LlStn/J36gWKdO3fW8uXLGz10paSkuKTnvYycOnVKO3furI0bN9Z3333XaE/v4NTVG1VGWVRvnr619zqXGVnulCcxMdE4CHD3sslst8uSkJBgFA7uXC6pP2OZuTO83bK5m15BMyNLZvReefDgQa1SpYq+/vrrev36db169aqWKlVK+/Xrp9HR0VqxYkXjYNnVy+Nuunjv27evSzPYXb161eix8vr16zp8+PA0X+6ZcSl4fHy8vvvuu/ree+85FP4nTpzQggULGl3cO7tn0Yzs3LlT165da8zv22+/VZvNpu3atdM2bdpo7ty5Hc7YZJZdu3Zp5cqV9caNG3rs2DEdMmSI+vr6qs1m071796qq65fR7t27tXDhwtqxY0ft1auXVq1aVZcvX65r1qzRWbNmaUBAQLo/3Dqb/XP6yiuvaNu2bfWvv/7SOnXq6IkTJ/T69et6/fp1rVSpktapU8flWc6cOZPu4zP69Onj0Purq3qBTc/169c1MDBQBw4cqImJifrFF1+ozWbTfv366YQJE7RcuXJaqVKlND0eu8Lx48fV399f58+fb7TFx8dr48aNdenSpZonT540l026Cvtf2DmlsLLviNavX6+VKlXSsLAw454U+383bdqkxYoVM85aucPJkyd16NChWqNGDW3btq1euHDBoWhwd5bM+IX/XvLYu9m0QpbUv/C6OwvLxXp5MiuL/ZIS+w9E0dHROm7cOK1YsaLmz59fAwMDHe4PqV69ur700ktOz3Er+0Hv3XTxfubMGZdmSW9feunSJR0xYoTWqlXL4cvdlfds2h0/ftw4yLNni4qK0lKlSjk8OuHW7oddITEx0chw8uRJLVGihM6cOdNoW7FihebNm1e3bNni8iy3atasmZ46dUpVb55Fy5Ili/r5+enGjRtVNXOKz3379mlwcLAWLFjQ4VK3mJgYfeuttzJl+7Xbs2ePFi5cWBs1aqSPP/64JiQkGAfKJ06c0ICAAIfnPmYG+/wPHDigRYsWzfC5fK5i304XLVqkWbJk0UaNGmnWrFl14sSJxjgxMTHq6+vr8DwkV4mIiNAePXpox44dddasWbp3714tV66c8TiWkSNH6hNPPOH0+d66j7P/7Y79790cu7pz//swcuoZq9jYWH3hhRe0Vq1a+t577xmn9FVvVuyFChXSTZs2OXOW9+zatWu6adMmbdCggdatW1ebNGmiGzdudEv1bqUsVstDFutnsVqezMiyZcsWrVevnnGpi+rNe3h2796tn3/+uUPnGPaOV1J3TOAMt/46nfrvQ4cOafv27bVNmzZpDvpWrlypQUFBxsGzq7PY2b/4w8PDjctS3nrrLX3//ffVZrPd9v5JM1lu7XAm9QHI2bNnNXfu3MYDzz///HMNCQnRf/75xyVZMjqjkLqwU1X99ddftVixYk5/WPTd5KlTp46uXr1a33vvPfX19dU5c+bogAED1MvLy6kPCL1TlsOHD+v8+fPT3H89Z84cLVSoUIaX1jo7S0REhI4cOVIDAgK0SZMmRntycrIeO3ZMy5cvr3/++afLstzu4epRUVHaqlUrbdeundPmf6c8t/598eJFPX78uNatW1f37dunqjfPFp0/f16rVKni1E6Ubpfl999/1549e2q+fPm0ePHi2qVLF2PZvfrqq1qxYkWHY1FnZUlMTNRLly7p5cuXjbZ9+/a5Zf9rz3Lp0qU0ZzEza/+L/+O0wsp+zWZERIT2799fa9asqcOGDdPExESNiorS+fPna6FChRxuQnW3zZs36yeffKLz5893uEfiYc9itTxksX4Wq+VxZZb0emm8VWJioi5YsED9/f2d2oFH6h6fBg0aZNwjlPpAY/PmzdqwYUNt1aqVLlq0SFVvfrnOnTtXK1asqGfPnnVplvTObNjbLl++rC+99JLmzZtXPTw8jM49MjOL6s3OVQICAvTkyZP69ddfq81mS/cB5a7KktHlsjNnztSGDRs6tcfTO+Wx//fVV1/VMmXKaK5cuYx7fA8dOqRPPfWU037ZvpvtVzX9omLChAnavn17p52JvpssBw8eNB4OP2LECFW9eUbmq6++0hIlShj3WbkqS3rbr32b2bhxo2bJksUlvcDe7Xqyn/mdN2+e0bZ48WItXLiww31PrsiSehu5cuWKnj171ijw7IYNG+ZwaZ6zskRGRmrnzp21atWqWqlSJR08eLDxPbNp06ZM3f/emmXIkCFpCklX73/h6J4Kq1vvL7Czb+Dx8fG6atUqjY+P1/Hjx2uFChU0a9asWrNmTc2VK5dlehvJ6DSuO1gpS3rzZ9mkP2+yZDz/B3XZ3K4nwtQHHP/8848+88wzmjt3bpfs827cuKG1atVSm82mTZs21RMnTqiq44HG1q1b9cknn3RpF++3y3K7A8IJEyakeayFM9bTvWSJjIzU2rVr66hRo9TDw8P4XnPW9nIvWex5PvnkE82ePbtLDpTvJs8PP/ygBQsWdHishf21qq5fNhmd1bMvGz8/vzTZXJUl9Wfp6NGj+uqrr2q2bNm0WLFiWqdOHc2VK5fbP0v2bfjZZ5916hmZu81j7311yJAhRgcbzz33nPr5+enXX3+dKVkyOqt36tQpXbBggfr6+jrtcs3UlxGXLl1aO3furN9++62OGzdOH3nkEeOeJlXX73/vlGXWrFkZvsZV+1/8n3sqrG69v0DV8Vev6tWrG9ezJiQk6MWLF/XTTz/V5cuXG/dWWXEFWimTlbKoWisPWdJnpSyq1srjiix300vjzJkz9ddffzUyOCtHUlKSjho1Sps3b67Tp0/X5s2ba8OGDdP9FffcuXMu7eL9TlnSOyC0d0Wf+tENzshzr1nOnDljPNbC3Vl27Nihr776qgYGBhoHpM7urexO20zqy4Vc6V6XzbZt2/TFF19Uf39/py+be/ksxcbG6pEjR3TSpEm6aNEi4yy0Oz9LqqrTpk1zyX1e95Ln4MGD+t5772n9+vV14MCBDvu9zMiS3lm08ePHa0BAgNMfEZOYmKh9+/bVDh06OFxi3qVLF+3QoYPDuK7e/95LFjtX7X/h6J4Kq1vvL0h9DWflypXTdCObHlYigPvdnXpptHPFF9fHH3+skydP1qSkJF25cqU2bdo0wwPCWzk7z52y3HpAGBsbq7/99pvbs1y9elW7devmkuL3XrOcPHlSFy5caHRYYbVtxtnuZdkcP35c58yZ47Zt5k697blrm8noURvOdK/bjP35pfY87tzPnDlzRnfu3On0LBcvXtQBAwYY983al8F3332nDRo00ISEhEzb/95Nllu337i4OJd9lvB/7vkeq1vvL/h/7d1/TFX1H8fx17lwx5U7LiVOvKNbgOaPDS0wK8p7Ka38Ae0iK8WodGKuNSOrzR9pBZI4K++cLn+E83LHvG3kCtKBjbxWy83Sayml9UeGOuNqG9X1Jtj98fn+wTxfrvwIOBc4wOvxl5dzuPd5Lgx8c8/53FAoJK84MpgrlBERDaSBWmW0s1Ow2183Vl1dLWbPni0sFkvYaVX98XYWkWxR+hz1teXm4geRfLsEpS2RHmyGw/fMzeem/V/jB+vrpKbnpb/epqYvPX6/f9g/N+1bWlpaRG1tbYel5KuqqkRaWlrYINP+lEm1tLTHoar/aNBDoVAIAFBcXAyPx4P3338fACBJEsaMGQObzYa4uLie3h0R0ZB25513orS0FDabDdeuXUNeXh6sViu+/vprBAKBiD3OlStX4HA4cP36dQghAAA6nQ7BYBAAYLVa8fLLL0Or1WLJkiW4cOECdu7cCYvFgmvXrkWsI9ItkiQNSovZbIbX64XBYJA7BqvFYrHA6/UiOjpa0eNHskdN3zNerxdarVa+r8H8OqnpeYl0S197du3apbrnxuv19kuLz+eDTqfDvHnzMGrUKLkLADQaTdjP/MrKSuTl5SEUCin+no1kS3uR7KJb9HYS6+r6goF8gzoiIrXpr5UIuzoFW4jwvzpWV1eLJ554QhiNRhEdHS3sdnvEGtgydFrU1sMW9beorUfNLZ29uuxyuUR6eroQQgi73S6ioqJEZWXlsG6hrvVpufWuri8gIhppBmJVxFtPwe5s6W4hhHjuuec6rPjElpHXorYetqi/RW09Q6VFCCEOHTokZs6cKcrLy0VUVJRwOp0jooU61+f3seru+gIiopFqoJZ4v/U/Gna7XUiSJD7++GP5Y2wZWS1q62GL+lvU1jMUWw4cOCCvMtp+kBmuLdS9Hl9jdavuri/w+/2RPFuRiGjIiOS56xpN24/otLQ0mM1mHDx4EA6HQ95285oDSZLQ0tKC6upqPPXUU/I592wZWS1q62GL+lvU1jMUW5KTkzFx4kTU1NRg8eLFw76FuicJ0e6qNwWOHTuGn3/+GRqNBosXL4ZOp4vE3RIREYBLly5h1apVaG5uRk5ODl5//XUAbQsL3fylC2BAfpGyRf0tauthi/pb1NYzFFoAwOfzwePxYMKECSOuhTpSPFgJIcK+aLfeJiKiyLh48SLee+89HD9+HGPHjsW+ffsQGxuLuLi4Af/Zyxb1t6ithy3qb1Fbj9pbdDod4uPjB6xBjS0ULmKvWN3EwYqIqP/89ddfaGhowPr16xEMBhETE4Pi4mJkZmaGLU3NFraosYct6m9RWw9b1N9C/xfxwYqIiAaGmk7BZov6W9TWwxb1t6ithy3qbxnpOFgREQ0xajoFmy3qb1FbD1vU36K2Hraov4Xa9HlVQCIiGhxq+sXJls6pqQVQVw9bOqemFkBdPWzpnJpaqA1fsSIiIiIiIlKIr1gREREREREpxMGKiIiIiIhIIQ5WRERERERECnGwIiIiIiIiUoiDFRERERERkUIcrIiISDU+/PBDmEwmaDQabNu2bbBzhrWKigrcdtttg51BRDRscLAiIqI+W7p0KSRJgiRJ0Gq1SExMxOOPP459+/YhFAr16r68Xi9WrlyJNWvW4PLly1ixYkU/VSu3dOlS5Obm9upzJElCdXV1v/QQEdHg42BFRESKzJ07F01NTWhsbERdXR0effRRvPLKK8jJyUEgEOjx/Vy8eBF+vx/Z2dkwGo2IjY3tx+qhy+/3D3YCERF1goMVEREpEhMTg3HjxiEpKQkZGRl44403UFNTg7q6OlRUVMj7/f3331ixYgXGjh0Lg8GAWbNm4fTp0wDaTkubOnUqACA1NRWSJKGxsREAcPDgQUyfPh06nQ6pqakoKSkJG9gkScLevXuxYMECxMbG4u6778Znn30W1vjTTz8hOzsbBoMBcXFxMJvN+PXXX+XtdrsdU6ZMgU6nw+TJk7Fz585ePQePPPIIioqKsHr1aowePRrjxo1DcXGxvD05ORkAsGDBAkiSJN/u6fHt3r0bVqsVer0eGzduxB133IHdu3eHNZw6dQqSJOH8+fMAAJvNhqlTp0Kv18NkMuGll16Cz+fr1XEREVHPcbAiIqKImzVrFu655x588sknAAAhBLKzs+HxeFBbWwu3242MjAzMnj0bzc3NWLRoEb744gsAwHfffYempiaYTCZ8/vnnePbZZ1FUVISzZ89iz549qKiowKZNm8Ier6SkBAsXLsSZM2cwf/58FBQUoLm5GQBw+fJlWCwW6HQ6uFwuuN1uLFu2TB5eysvLsX79emzatAnnzp1DWVkZ3nzzTTgcjl4ds8PhgF6vx7fffot3330XGzduRH19PQDgxIkTANoGuKamJvl2T4/v7bffhtVqRUNDA5YvX478/Hzs378/bB+n04nMzEykpqYCADQaDbZv344ff/wRDocDLpcLq1ev7tUxERFRLwgiIqI+WrJkibBarZ1uW7RokZgyZYoQQogjR44Ig8EgWltbw/YZP3682LNnjxBCiO+//14AEL/99pu83Ww2i7KysrDPqaysFEajUb4NQGzYsEG+7fP5hCRJoq6uTgghxLp160RKSor4999/O+00mUzC6XSGfay0tFRkZmb2+LizsrLEzJkzw/aZMWOGWLNmTVjnp59+GrZPT49v1apVYfucOnVKSJIkGhsbhRBCBINBkZSUJD744IMum6uqqkRCQoJ82263i/j4+C73JyKi3oke3LGOiIiGKyEEJEkCALjdbvh8PiQkJITt09LSEnZK3q3cbjdOnDgR9gpOMBhEa2srrl+/Ll+HNW3aNHm7Xq9HXFwcrl69CgD44YcfYDabodVqO9z/H3/8gUuXLqGwsBAvvPCC/PFAIID4+PheHW/7BgAwGo1yg9Lju++++8I+Lz09HZMnT8ZHH32EtWvX4quvvsLVq1excOFCeZ+jR4+irKwMZ8+ehdfrRSAQQGtrK/755x/o9fpeHRsREf03DlZERNQvzp07h5SUFABAKBSC0WjEl19+2WG/7pb8DoVCKCkpQV5eXodtOp1O/vetQ5MkSfKqhKNGjer2/oG20wEfeOCBsG1RUVFdfl5numvo7vF7cnydDUIFBQVwOp1Yu3YtnE4n5syZgzFjxgAALly4gPnz5+PFF19EaWkpRo8ejW+++QaFhYVc/IKIqJ9wsCIioohzuVxoaGjAq6++CgDIyMiAx+NBdHR02MIN/yUjIwO//PILJkyY0OeWadOmweFwwO/3dxh+EhMTkZSUhPPnz6OgoKDPj9ETWq0WwWAw7GNKju+ZZ57Bhg0b4Ha7ceDAAezatUvedvLkSQQCAWzduhUaTdvl1FVVVcoOgIiIusXBioiIFLlx4wY8Hg+CwSCuXLmCw4cPY/PmzcjJycHzzz8PAHjssceQmZmJ3NxcbNmyBZMmTcLvv/+O2tpa5ObmdjjV7aa33noLOTk5MJlMePrpp6HRaHDmzBk0NDTgnXfe6VHfypUrsWPHDuTn52PdunWIj4/H8ePHcf/992PSpEkoLi5GUVERDAYD5s2bhxs3buDkyZP4888/8dprr0XseUpOTsaRI0fw8MMPIyYmBrfffrui40tJScFDDz2EwsJCBAIBWK1Wedv48eMRCASwY8cOPPnkkzh27FiHVQSJiCiyuCogEREpcvjwYRiNRiQnJ2Pu3Lk4evQotm/fjpqaGvl0OkmSUFtbC4vFgmXLlmHixInIz89HY2MjEhMTu7zvOXPm4NChQ6ivr8eMGTPw4IMPwmaz4a677upxX0JCAlwuF3w+H7KysjB9+nSUl5fLr14tX74ce/fulZd8z8rKQkVFhXwaY6Rs3boV9fX1MJlMSE9Pj8jxFRQU4PTp08jLyws75fHee++FzWbDli1bkJaWhv3792Pz5s0RPR4iIgonCSHEYEcQERERERENZXzFioiIiIiISCEOVkRERERERApxsCIiIiIiIlKIgxUREREREZFCHKyIiIiIiIgU4mBFRERERESkEAcrIiIiIiIihThYERERERERKcTBioiIiIiISCEOVkRERERERApxsCIiIiIiIlLof6l97jur0uBjAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "defence_intervals = np.arange(0, pokemon_df['defense'].max(), 10)\n",
    "defence_counts = pokemon_df['defense'].value_counts(bins=defence_intervals).sort_index()\n",
    "\n",
    "barchart((10, 6), defence_counts, 'Defence Interval', 'Count', 'Defence stat distribution (Grouped by 10)')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "defence_intervals = np.arange(pokemon_df['defense'].min(), pokemon_df['defense'].max() + 11, 10)\n",
    "defence_counts = pokemon_df['defense'].value_counts(bins=defence_intervals).sort_index()\n",
    "\n",
    "barchart((10, 6), defence_counts, 'Defence Interval', 'Count', 'Defence stat distribution (Grouped by 10)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "def linechart(size, data, x, y, title):\n",
    "    plt.figure(figsize=size)\n",
    "    data.plot(kind='line', color='darkblue')\n",
    "    plt.title(title)\n",
    "    plt.xlabel(x)\n",
    "    plt.ylabel(y)\n",
    "    plt.xticks(range(len(data.index)), [f'{interval.left}-{interval.right}' for interval in data.index], rotation=45, ha='right')\n",
    "    plt.show()\n",
    "    \n",
    "linechart((10, 6), defence_counts, 'Defence Interval', 'Count', 'Defence stat distribution (Grouped by 10)')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Standard Error: 41.57758593489902\n"
     ]
    }
   ],
   "source": [
    "# Calculate standard error\n",
    "defence_std_error = defence_counts.std()\n",
    "\n",
    "# Display standard error\n",
    "print(f\"Standard Error: {defence_std_error}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Visualising defence by type"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1600x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Map each Pokémon type to a color\n",
    "type_color_map = {\n",
    "    'grass': '#4e8234',\n",
    "    'fire': '#e73b0c',\n",
    "    'water': '#3b9ad9',\n",
    "    'electric': '#f9cf30',\n",
    "    'psychic': '#f85778',\n",
    "    'normal': '#a9a878',\n",
    "    'fighting': '#7c3946',\n",
    "    'flying': '#a890f0',\n",
    "    'ground': '#d9bf77',\n",
    "    'rock': '#a18a6d',\n",
    "    'bug': '#a8b820',\n",
    "    'poison': '#923978',\n",
    "    'steel': '#b8b8d0',\n",
    "    'ghost': '#55416d',\n",
    "    'dark': '#49392f',\n",
    "    'dragon': '#7038f8',\n",
    "    'ice': '#70a4f9',\n",
    "    'fairy': '#f0b6bc',\n",
    "}\n",
    "\n",
    "# Add a 'color' column to pokemon_df based on the Pokémon type\n",
    "# pokemon_df['color'] = pokemon_df['type1'].map(type_color_map)\n",
    "\n",
    "# Plot the scatter graph\n",
    "plt.figure(figsize=(16, 8))\n",
    "sns.scatterplot(data=pokemon_df, x='pokedex_number', y='defense', hue='type1', palette=type_color_map, s=100)\n",
    "plt.title('Scatter Plot of Pokémon Defence vs. Pokedex Number')\n",
    "plt.xlabel('Pokedex Number')\n",
    "plt.ylabel('Defence')\n",
    "plt.legend(title='Type', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Looking at this graph, I've decided to analyse two subsets:\n",
    "- Pokemon with defence value higher than 125\n",
    "- Top 25 Pokemon by defence\n",
    "\n",
    "### Pokemon with defence value higher than 125\n",
    "\n",
    "To analyse this, we'll filter the dataset to give us a dataframe containing only those with a defence stat higher than 125."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "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>attack</th>\n",
       "      <th>base_total</th>\n",
       "      <th>capture_rate</th>\n",
       "      <th>defense</th>\n",
       "      <th>height_m</th>\n",
       "      <th>hp</th>\n",
       "      <th>name</th>\n",
       "      <th>percentage_male</th>\n",
       "      <th>pokedex_number</th>\n",
       "      <th>sp_attack</th>\n",
       "      <th>sp_defense</th>\n",
       "      <th>speed</th>\n",
       "      <th>type1</th>\n",
       "      <th>type2</th>\n",
       "      <th>weight_kg</th>\n",
       "      <th>generation</th>\n",
       "      <th>is_legendary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>75</th>\n",
       "      <td>120</td>\n",
       "      <td>495</td>\n",
       "      <td>45</td>\n",
       "      <td>130</td>\n",
       "      <td>1.4</td>\n",
       "      <td>80</td>\n",
       "      <td>Golem</td>\n",
       "      <td>50.0</td>\n",
       "      <td>76</td>\n",
       "      <td>55</td>\n",
       "      <td>65</td>\n",
       "      <td>45</td>\n",
       "      <td>rock</td>\n",
       "      <td>ground</td>\n",
       "      <td>300.0</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>75</td>\n",
       "      <td>590</td>\n",
       "      <td>75</td>\n",
       "      <td>180</td>\n",
       "      <td>1.6</td>\n",
       "      <td>95</td>\n",
       "      <td>Slowbro</td>\n",
       "      <td>50.0</td>\n",
       "      <td>80</td>\n",
       "      <td>130</td>\n",
       "      <td>80</td>\n",
       "      <td>30</td>\n",
       "      <td>water</td>\n",
       "      <td>psychic</td>\n",
       "      <td>78.5</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>95</td>\n",
       "      <td>525</td>\n",
       "      <td>60</td>\n",
       "      <td>180</td>\n",
       "      <td>1.5</td>\n",
       "      <td>50</td>\n",
       "      <td>Cloyster</td>\n",
       "      <td>50.0</td>\n",
       "      <td>91</td>\n",
       "      <td>85</td>\n",
       "      <td>45</td>\n",
       "      <td>70</td>\n",
       "      <td>water</td>\n",
       "      <td>ice</td>\n",
       "      <td>132.5</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>45</td>\n",
       "      <td>385</td>\n",
       "      <td>45</td>\n",
       "      <td>160</td>\n",
       "      <td>8.8</td>\n",
       "      <td>35</td>\n",
       "      <td>Onix</td>\n",
       "      <td>50.0</td>\n",
       "      <td>95</td>\n",
       "      <td>30</td>\n",
       "      <td>45</td>\n",
       "      <td>70</td>\n",
       "      <td>rock</td>\n",
       "      <td>ground</td>\n",
       "      <td>210.0</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>90</td>\n",
       "      <td>465</td>\n",
       "      <td>75</td>\n",
       "      <td>140</td>\n",
       "      <td>1.2</td>\n",
       "      <td>75</td>\n",
       "      <td>Forretress</td>\n",
       "      <td>50.0</td>\n",
       "      <td>205</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>40</td>\n",
       "      <td>bug</td>\n",
       "      <td>steel</td>\n",
       "      <td>125.8</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>125</td>\n",
       "      <td>610</td>\n",
       "      <td>25</td>\n",
       "      <td>230</td>\n",
       "      <td>9.2</td>\n",
       "      <td>75</td>\n",
       "      <td>Steelix</td>\n",
       "      <td>50.0</td>\n",
       "      <td>208</td>\n",
       "      <td>55</td>\n",
       "      <td>95</td>\n",
       "      <td>30</td>\n",
       "      <td>steel</td>\n",
       "      <td>ground</td>\n",
       "      <td>400.0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>150</td>\n",
       "      <td>600</td>\n",
       "      <td>25</td>\n",
       "      <td>140</td>\n",
       "      <td>1.8</td>\n",
       "      <td>70</td>\n",
       "      <td>Scizor</td>\n",
       "      <td>50.0</td>\n",
       "      <td>212</td>\n",
       "      <td>65</td>\n",
       "      <td>100</td>\n",
       "      <td>75</td>\n",
       "      <td>bug</td>\n",
       "      <td>steel</td>\n",
       "      <td>118.0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>10</td>\n",
       "      <td>505</td>\n",
       "      <td>190</td>\n",
       "      <td>230</td>\n",
       "      <td>0.6</td>\n",
       "      <td>20</td>\n",
       "      <td>Shuckle</td>\n",
       "      <td>50.0</td>\n",
       "      <td>213</td>\n",
       "      <td>10</td>\n",
       "      <td>230</td>\n",
       "      <td>5</td>\n",
       "      <td>bug</td>\n",
       "      <td>rock</td>\n",
       "      <td>20.5</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>80</td>\n",
       "      <td>465</td>\n",
       "      <td>25</td>\n",
       "      <td>140</td>\n",
       "      <td>1.7</td>\n",
       "      <td>65</td>\n",
       "      <td>Skarmory</td>\n",
       "      <td>50.0</td>\n",
       "      <td>227</td>\n",
       "      <td>40</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>steel</td>\n",
       "      <td>flying</td>\n",
       "      <td>50.5</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>164</td>\n",
       "      <td>700</td>\n",
       "      <td>45</td>\n",
       "      <td>150</td>\n",
       "      <td>2.0</td>\n",
       "      <td>100</td>\n",
       "      <td>Tyranitar</td>\n",
       "      <td>50.0</td>\n",
       "      <td>248</td>\n",
       "      <td>95</td>\n",
       "      <td>120</td>\n",
       "      <td>71</td>\n",
       "      <td>rock</td>\n",
       "      <td>dark</td>\n",
       "      <td>202.0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>248</th>\n",
       "      <td>90</td>\n",
       "      <td>680</td>\n",
       "      <td>3</td>\n",
       "      <td>130</td>\n",
       "      <td>5.2</td>\n",
       "      <td>106</td>\n",
       "      <td>Lugia</td>\n",
       "      <td>0.0</td>\n",
       "      <td>249</td>\n",
       "      <td>90</td>\n",
       "      <td>154</td>\n",
       "      <td>110</td>\n",
       "      <td>psychic</td>\n",
       "      <td>flying</td>\n",
       "      <td>216.0</td>\n",
       "      <td>2</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>45</td>\n",
       "      <td>375</td>\n",
       "      <td>255</td>\n",
       "      <td>135</td>\n",
       "      <td>1.0</td>\n",
       "      <td>30</td>\n",
       "      <td>Nosepass</td>\n",
       "      <td>50.0</td>\n",
       "      <td>299</td>\n",
       "      <td>45</td>\n",
       "      <td>90</td>\n",
       "      <td>30</td>\n",
       "      <td>rock</td>\n",
       "      <td>none</td>\n",
       "      <td>97.0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>90</td>\n",
       "      <td>430</td>\n",
       "      <td>90</td>\n",
       "      <td>140</td>\n",
       "      <td>0.9</td>\n",
       "      <td>60</td>\n",
       "      <td>Lairon</td>\n",
       "      <td>50.0</td>\n",
       "      <td>305</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>40</td>\n",
       "      <td>steel</td>\n",
       "      <td>rock</td>\n",
       "      <td>120.0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>140</td>\n",
       "      <td>630</td>\n",
       "      <td>45</td>\n",
       "      <td>230</td>\n",
       "      <td>2.1</td>\n",
       "      <td>70</td>\n",
       "      <td>Aggron</td>\n",
       "      <td>50.0</td>\n",
       "      <td>306</td>\n",
       "      <td>60</td>\n",
       "      <td>80</td>\n",
       "      <td>50</td>\n",
       "      <td>steel</td>\n",
       "      <td>rock</td>\n",
       "      <td>360.0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>85</td>\n",
       "      <td>470</td>\n",
       "      <td>90</td>\n",
       "      <td>140</td>\n",
       "      <td>0.5</td>\n",
       "      <td>70</td>\n",
       "      <td>Torkoal</td>\n",
       "      <td>50.0</td>\n",
       "      <td>324</td>\n",
       "      <td>85</td>\n",
       "      <td>70</td>\n",
       "      <td>20</td>\n",
       "      <td>fire</td>\n",
       "      <td>none</td>\n",
       "      <td>80.4</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>355</th>\n",
       "      <td>70</td>\n",
       "      <td>455</td>\n",
       "      <td>90</td>\n",
       "      <td>130</td>\n",
       "      <td>1.6</td>\n",
       "      <td>40</td>\n",
       "      <td>Dusclops</td>\n",
       "      <td>50.0</td>\n",
       "      <td>356</td>\n",
       "      <td>60</td>\n",
       "      <td>130</td>\n",
       "      <td>25</td>\n",
       "      <td>ghost</td>\n",
       "      <td>none</td>\n",
       "      <td>30.6</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>368</th>\n",
       "      <td>90</td>\n",
       "      <td>485</td>\n",
       "      <td>25</td>\n",
       "      <td>130</td>\n",
       "      <td>1.0</td>\n",
       "      <td>100</td>\n",
       "      <td>Relicanth</td>\n",
       "      <td>88.1</td>\n",
       "      <td>369</td>\n",
       "      <td>45</td>\n",
       "      <td>65</td>\n",
       "      <td>55</td>\n",
       "      <td>water</td>\n",
       "      <td>rock</td>\n",
       "      <td>23.4</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>372</th>\n",
       "      <td>145</td>\n",
       "      <td>700</td>\n",
       "      <td>45</td>\n",
       "      <td>130</td>\n",
       "      <td>1.5</td>\n",
       "      <td>95</td>\n",
       "      <td>Salamence</td>\n",
       "      <td>50.0</td>\n",
       "      <td>373</td>\n",
       "      <td>120</td>\n",
       "      <td>90</td>\n",
       "      <td>120</td>\n",
       "      <td>dragon</td>\n",
       "      <td>flying</td>\n",
       "      <td>102.6</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>145</td>\n",
       "      <td>700</td>\n",
       "      <td>3</td>\n",
       "      <td>150</td>\n",
       "      <td>1.6</td>\n",
       "      <td>80</td>\n",
       "      <td>Metagross</td>\n",
       "      <td>0.0</td>\n",
       "      <td>376</td>\n",
       "      <td>105</td>\n",
       "      <td>110</td>\n",
       "      <td>110</td>\n",
       "      <td>steel</td>\n",
       "      <td>psychic</td>\n",
       "      <td>550.0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>100</td>\n",
       "      <td>580</td>\n",
       "      <td>3</td>\n",
       "      <td>200</td>\n",
       "      <td>1.7</td>\n",
       "      <td>80</td>\n",
       "      <td>Regirock</td>\n",
       "      <td>0.0</td>\n",
       "      <td>377</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>50</td>\n",
       "      <td>rock</td>\n",
       "      <td>none</td>\n",
       "      <td>230.0</td>\n",
       "      <td>3</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>75</td>\n",
       "      <td>580</td>\n",
       "      <td>3</td>\n",
       "      <td>150</td>\n",
       "      <td>1.9</td>\n",
       "      <td>80</td>\n",
       "      <td>Registeel</td>\n",
       "      <td>0.0</td>\n",
       "      <td>379</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>50</td>\n",
       "      <td>steel</td>\n",
       "      <td>none</td>\n",
       "      <td>205.0</td>\n",
       "      <td>3</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>180</td>\n",
       "      <td>770</td>\n",
       "      <td>3</td>\n",
       "      <td>160</td>\n",
       "      <td>3.5</td>\n",
       "      <td>100</td>\n",
       "      <td>Groudon</td>\n",
       "      <td>0.0</td>\n",
       "      <td>383</td>\n",
       "      <td>150</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>ground</td>\n",
       "      <td>none</td>\n",
       "      <td>950.0</td>\n",
       "      <td>3</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>52</td>\n",
       "      <td>495</td>\n",
       "      <td>45</td>\n",
       "      <td>168</td>\n",
       "      <td>1.3</td>\n",
       "      <td>60</td>\n",
       "      <td>Bastiodon</td>\n",
       "      <td>88.1</td>\n",
       "      <td>411</td>\n",
       "      <td>47</td>\n",
       "      <td>138</td>\n",
       "      <td>30</td>\n",
       "      <td>rock</td>\n",
       "      <td>steel</td>\n",
       "      <td>149.5</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>463</th>\n",
       "      <td>140</td>\n",
       "      <td>535</td>\n",
       "      <td>30</td>\n",
       "      <td>130</td>\n",
       "      <td>2.4</td>\n",
       "      <td>115</td>\n",
       "      <td>Rhyperior</td>\n",
       "      <td>50.0</td>\n",
       "      <td>464</td>\n",
       "      <td>55</td>\n",
       "      <td>55</td>\n",
       "      <td>40</td>\n",
       "      <td>ground</td>\n",
       "      <td>rock</td>\n",
       "      <td>282.8</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>469</th>\n",
       "      <td>110</td>\n",
       "      <td>525</td>\n",
       "      <td>45</td>\n",
       "      <td>130</td>\n",
       "      <td>1.0</td>\n",
       "      <td>65</td>\n",
       "      <td>Leafeon</td>\n",
       "      <td>88.1</td>\n",
       "      <td>470</td>\n",
       "      <td>60</td>\n",
       "      <td>65</td>\n",
       "      <td>95</td>\n",
       "      <td>grass</td>\n",
       "      <td>none</td>\n",
       "      <td>25.5</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>55</td>\n",
       "      <td>525</td>\n",
       "      <td>60</td>\n",
       "      <td>145</td>\n",
       "      <td>1.4</td>\n",
       "      <td>60</td>\n",
       "      <td>Probopass</td>\n",
       "      <td>50.0</td>\n",
       "      <td>476</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>40</td>\n",
       "      <td>rock</td>\n",
       "      <td>steel</td>\n",
       "      <td>340.0</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>100</td>\n",
       "      <td>525</td>\n",
       "      <td>45</td>\n",
       "      <td>135</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45</td>\n",
       "      <td>Dusknoir</td>\n",
       "      <td>50.0</td>\n",
       "      <td>477</td>\n",
       "      <td>65</td>\n",
       "      <td>135</td>\n",
       "      <td>45</td>\n",
       "      <td>ghost</td>\n",
       "      <td>none</td>\n",
       "      <td>106.6</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>479</th>\n",
       "      <td>75</td>\n",
       "      <td>580</td>\n",
       "      <td>3</td>\n",
       "      <td>130</td>\n",
       "      <td>0.3</td>\n",
       "      <td>75</td>\n",
       "      <td>Uxie</td>\n",
       "      <td>0.0</td>\n",
       "      <td>480</td>\n",
       "      <td>75</td>\n",
       "      <td>130</td>\n",
       "      <td>95</td>\n",
       "      <td>psychic</td>\n",
       "      <td>none</td>\n",
       "      <td>0.3</td>\n",
       "      <td>4</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>525</th>\n",
       "      <td>135</td>\n",
       "      <td>515</td>\n",
       "      <td>45</td>\n",
       "      <td>130</td>\n",
       "      <td>1.7</td>\n",
       "      <td>85</td>\n",
       "      <td>Gigalith</td>\n",
       "      <td>50.0</td>\n",
       "      <td>526</td>\n",
       "      <td>60</td>\n",
       "      <td>80</td>\n",
       "      <td>25</td>\n",
       "      <td>rock</td>\n",
       "      <td>none</td>\n",
       "      <td>260.0</td>\n",
       "      <td>5</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>530</th>\n",
       "      <td>60</td>\n",
       "      <td>545</td>\n",
       "      <td>255</td>\n",
       "      <td>126</td>\n",
       "      <td>1.1</td>\n",
       "      <td>103</td>\n",
       "      <td>Audino</td>\n",
       "      <td>50.0</td>\n",
       "      <td>531</td>\n",
       "      <td>80</td>\n",
       "      <td>126</td>\n",
       "      <td>50</td>\n",
       "      <td>normal</td>\n",
       "      <td>none</td>\n",
       "      <td>31.0</td>\n",
       "      <td>5</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>50</td>\n",
       "      <td>483</td>\n",
       "      <td>90</td>\n",
       "      <td>145</td>\n",
       "      <td>1.7</td>\n",
       "      <td>58</td>\n",
       "      <td>Cofagrigus</td>\n",
       "      <td>50.0</td>\n",
       "      <td>563</td>\n",
       "      <td>95</td>\n",
       "      <td>105</td>\n",
       "      <td>30</td>\n",
       "      <td>ghost</td>\n",
       "      <td>none</td>\n",
       "      <td>76.5</td>\n",
       "      <td>5</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>108</td>\n",
       "      <td>495</td>\n",
       "      <td>45</td>\n",
       "      <td>133</td>\n",
       "      <td>1.2</td>\n",
       "      <td>74</td>\n",
       "      <td>Carracosta</td>\n",
       "      <td>88.1</td>\n",
       "      <td>565</td>\n",
       "      <td>83</td>\n",
       "      <td>65</td>\n",
       "      <td>32</td>\n",
       "      <td>water</td>\n",
       "      <td>rock</td>\n",
       "      <td>81.0</td>\n",
       "      <td>5</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>597</th>\n",
       "      <td>94</td>\n",
       "      <td>489</td>\n",
       "      <td>90</td>\n",
       "      <td>131</td>\n",
       "      <td>1.0</td>\n",
       "      <td>74</td>\n",
       "      <td>Ferrothorn</td>\n",
       "      <td>50.0</td>\n",
       "      <td>598</td>\n",
       "      <td>54</td>\n",
       "      <td>116</td>\n",
       "      <td>20</td>\n",
       "      <td>grass</td>\n",
       "      <td>steel</td>\n",
       "      <td>110.0</td>\n",
       "      <td>5</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>637</th>\n",
       "      <td>90</td>\n",
       "      <td>580</td>\n",
       "      <td>3</td>\n",
       "      <td>129</td>\n",
       "      <td>2.1</td>\n",
       "      <td>91</td>\n",
       "      <td>Cobalion</td>\n",
       "      <td>0.0</td>\n",
       "      <td>638</td>\n",
       "      <td>90</td>\n",
       "      <td>72</td>\n",
       "      <td>108</td>\n",
       "      <td>steel</td>\n",
       "      <td>fighting</td>\n",
       "      <td>250.0</td>\n",
       "      <td>5</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>110</td>\n",
       "      <td>448</td>\n",
       "      <td>90</td>\n",
       "      <td>150</td>\n",
       "      <td>0.8</td>\n",
       "      <td>59</td>\n",
       "      <td>Doublade</td>\n",
       "      <td>50.0</td>\n",
       "      <td>680</td>\n",
       "      <td>45</td>\n",
       "      <td>49</td>\n",
       "      <td>35</td>\n",
       "      <td>steel</td>\n",
       "      <td>ghost</td>\n",
       "      <td>4.5</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>702</th>\n",
       "      <td>50</td>\n",
       "      <td>500</td>\n",
       "      <td>60</td>\n",
       "      <td>150</td>\n",
       "      <td>0.3</td>\n",
       "      <td>50</td>\n",
       "      <td>Carbink</td>\n",
       "      <td>0.0</td>\n",
       "      <td>703</td>\n",
       "      <td>50</td>\n",
       "      <td>150</td>\n",
       "      <td>50</td>\n",
       "      <td>rock</td>\n",
       "      <td>fairy</td>\n",
       "      <td>5.7</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>712</th>\n",
       "      <td>117</td>\n",
       "      <td>514</td>\n",
       "      <td>55</td>\n",
       "      <td>184</td>\n",
       "      <td>2.0</td>\n",
       "      <td>95</td>\n",
       "      <td>Avalugg</td>\n",
       "      <td>50.0</td>\n",
       "      <td>713</td>\n",
       "      <td>44</td>\n",
       "      <td>46</td>\n",
       "      <td>28</td>\n",
       "      <td>ice</td>\n",
       "      <td>none</td>\n",
       "      <td>505.0</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>745</th>\n",
       "      <td>140</td>\n",
       "      <td>620</td>\n",
       "      <td>60</td>\n",
       "      <td>130</td>\n",
       "      <td>0.2</td>\n",
       "      <td>45</td>\n",
       "      <td>Wishiwashi</td>\n",
       "      <td>50.0</td>\n",
       "      <td>746</td>\n",
       "      <td>140</td>\n",
       "      <td>135</td>\n",
       "      <td>30</td>\n",
       "      <td>water</td>\n",
       "      <td>none</td>\n",
       "      <td>0.3</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>747</th>\n",
       "      <td>63</td>\n",
       "      <td>495</td>\n",
       "      <td>75</td>\n",
       "      <td>152</td>\n",
       "      <td>0.7</td>\n",
       "      <td>50</td>\n",
       "      <td>Toxapex</td>\n",
       "      <td>50.0</td>\n",
       "      <td>748</td>\n",
       "      <td>53</td>\n",
       "      <td>142</td>\n",
       "      <td>35</td>\n",
       "      <td>poison</td>\n",
       "      <td>water</td>\n",
       "      <td>14.5</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>767</th>\n",
       "      <td>125</td>\n",
       "      <td>530</td>\n",
       "      <td>45</td>\n",
       "      <td>140</td>\n",
       "      <td>2.0</td>\n",
       "      <td>75</td>\n",
       "      <td>Golisopod</td>\n",
       "      <td>50.0</td>\n",
       "      <td>768</td>\n",
       "      <td>60</td>\n",
       "      <td>90</td>\n",
       "      <td>40</td>\n",
       "      <td>bug</td>\n",
       "      <td>water</td>\n",
       "      <td>108.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>770</th>\n",
       "      <td>60</td>\n",
       "      <td>410</td>\n",
       "      <td>60</td>\n",
       "      <td>130</td>\n",
       "      <td>0.3</td>\n",
       "      <td>55</td>\n",
       "      <td>Pyukumuku</td>\n",
       "      <td>50.0</td>\n",
       "      <td>771</td>\n",
       "      <td>30</td>\n",
       "      <td>130</td>\n",
       "      <td>5</td>\n",
       "      <td>water</td>\n",
       "      <td>none</td>\n",
       "      <td>1.2</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>775</th>\n",
       "      <td>78</td>\n",
       "      <td>485</td>\n",
       "      <td>70</td>\n",
       "      <td>135</td>\n",
       "      <td>2.0</td>\n",
       "      <td>60</td>\n",
       "      <td>Turtonator</td>\n",
       "      <td>50.0</td>\n",
       "      <td>776</td>\n",
       "      <td>91</td>\n",
       "      <td>85</td>\n",
       "      <td>36</td>\n",
       "      <td>fire</td>\n",
       "      <td>dragon</td>\n",
       "      <td>212.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>789</th>\n",
       "      <td>29</td>\n",
       "      <td>400</td>\n",
       "      <td>45</td>\n",
       "      <td>131</td>\n",
       "      <td>0.1</td>\n",
       "      <td>43</td>\n",
       "      <td>Cosmoem</td>\n",
       "      <td>0.0</td>\n",
       "      <td>790</td>\n",
       "      <td>29</td>\n",
       "      <td>131</td>\n",
       "      <td>37</td>\n",
       "      <td>psychic</td>\n",
       "      <td>none</td>\n",
       "      <td>999.9</td>\n",
       "      <td>7</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>793</th>\n",
       "      <td>139</td>\n",
       "      <td>570</td>\n",
       "      <td>25</td>\n",
       "      <td>139</td>\n",
       "      <td>2.4</td>\n",
       "      <td>107</td>\n",
       "      <td>Buzzwole</td>\n",
       "      <td>0.0</td>\n",
       "      <td>794</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>79</td>\n",
       "      <td>bug</td>\n",
       "      <td>fighting</td>\n",
       "      <td>333.6</td>\n",
       "      <td>7</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>797</th>\n",
       "      <td>181</td>\n",
       "      <td>570</td>\n",
       "      <td>255</td>\n",
       "      <td>131</td>\n",
       "      <td>0.3</td>\n",
       "      <td>59</td>\n",
       "      <td>Kartana</td>\n",
       "      <td>0.0</td>\n",
       "      <td>798</td>\n",
       "      <td>59</td>\n",
       "      <td>31</td>\n",
       "      <td>109</td>\n",
       "      <td>grass</td>\n",
       "      <td>steel</td>\n",
       "      <td>0.1</td>\n",
       "      <td>7</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     attack  base_total capture_rate  defense  height_m   hp        name  \\\n",
       "75      120         495           45      130       1.4   80       Golem   \n",
       "79       75         590           75      180       1.6   95     Slowbro   \n",
       "90       95         525           60      180       1.5   50    Cloyster   \n",
       "94       45         385           45      160       8.8   35        Onix   \n",
       "204      90         465           75      140       1.2   75  Forretress   \n",
       "207     125         610           25      230       9.2   75     Steelix   \n",
       "211     150         600           25      140       1.8   70      Scizor   \n",
       "212      10         505          190      230       0.6   20     Shuckle   \n",
       "226      80         465           25      140       1.7   65    Skarmory   \n",
       "247     164         700           45      150       2.0  100   Tyranitar   \n",
       "248      90         680            3      130       5.2  106       Lugia   \n",
       "298      45         375          255      135       1.0   30    Nosepass   \n",
       "304      90         430           90      140       0.9   60      Lairon   \n",
       "305     140         630           45      230       2.1   70      Aggron   \n",
       "323      85         470           90      140       0.5   70     Torkoal   \n",
       "355      70         455           90      130       1.6   40    Dusclops   \n",
       "368      90         485           25      130       1.0  100   Relicanth   \n",
       "372     145         700           45      130       1.5   95   Salamence   \n",
       "375     145         700            3      150       1.6   80   Metagross   \n",
       "376     100         580            3      200       1.7   80    Regirock   \n",
       "378      75         580            3      150       1.9   80   Registeel   \n",
       "382     180         770            3      160       3.5  100     Groudon   \n",
       "410      52         495           45      168       1.3   60   Bastiodon   \n",
       "463     140         535           30      130       2.4  115   Rhyperior   \n",
       "469     110         525           45      130       1.0   65     Leafeon   \n",
       "475      55         525           60      145       1.4   60   Probopass   \n",
       "476     100         525           45      135       2.2   45    Dusknoir   \n",
       "479      75         580            3      130       0.3   75        Uxie   \n",
       "525     135         515           45      130       1.7   85    Gigalith   \n",
       "530      60         545          255      126       1.1  103      Audino   \n",
       "562      50         483           90      145       1.7   58  Cofagrigus   \n",
       "564     108         495           45      133       1.2   74  Carracosta   \n",
       "597      94         489           90      131       1.0   74  Ferrothorn   \n",
       "637      90         580            3      129       2.1   91    Cobalion   \n",
       "679     110         448           90      150       0.8   59    Doublade   \n",
       "702      50         500           60      150       0.3   50     Carbink   \n",
       "712     117         514           55      184       2.0   95     Avalugg   \n",
       "745     140         620           60      130       0.2   45  Wishiwashi   \n",
       "747      63         495           75      152       0.7   50     Toxapex   \n",
       "767     125         530           45      140       2.0   75   Golisopod   \n",
       "770      60         410           60      130       0.3   55   Pyukumuku   \n",
       "775      78         485           70      135       2.0   60  Turtonator   \n",
       "789      29         400           45      131       0.1   43     Cosmoem   \n",
       "793     139         570           25      139       2.4  107    Buzzwole   \n",
       "797     181         570          255      131       0.3   59     Kartana   \n",
       "\n",
       "     percentage_male  pokedex_number  sp_attack  sp_defense  speed    type1  \\\n",
       "75              50.0              76         55          65     45     rock   \n",
       "79              50.0              80        130          80     30    water   \n",
       "90              50.0              91         85          45     70    water   \n",
       "94              50.0              95         30          45     70     rock   \n",
       "204             50.0             205         60          60     40      bug   \n",
       "207             50.0             208         55          95     30    steel   \n",
       "211             50.0             212         65         100     75      bug   \n",
       "212             50.0             213         10         230      5      bug   \n",
       "226             50.0             227         40          70     70    steel   \n",
       "247             50.0             248         95         120     71     rock   \n",
       "248              0.0             249         90         154    110  psychic   \n",
       "298             50.0             299         45          90     30     rock   \n",
       "304             50.0             305         50          50     40    steel   \n",
       "305             50.0             306         60          80     50    steel   \n",
       "323             50.0             324         85          70     20     fire   \n",
       "355             50.0             356         60         130     25    ghost   \n",
       "368             88.1             369         45          65     55    water   \n",
       "372             50.0             373        120          90    120   dragon   \n",
       "375              0.0             376        105         110    110    steel   \n",
       "376              0.0             377         50         100     50     rock   \n",
       "378              0.0             379         75         150     50    steel   \n",
       "382              0.0             383        150          90     90   ground   \n",
       "410             88.1             411         47         138     30     rock   \n",
       "463             50.0             464         55          55     40   ground   \n",
       "469             88.1             470         60          65     95    grass   \n",
       "475             50.0             476         75         150     40     rock   \n",
       "476             50.0             477         65         135     45    ghost   \n",
       "479              0.0             480         75         130     95  psychic   \n",
       "525             50.0             526         60          80     25     rock   \n",
       "530             50.0             531         80         126     50   normal   \n",
       "562             50.0             563         95         105     30    ghost   \n",
       "564             88.1             565         83          65     32    water   \n",
       "597             50.0             598         54         116     20    grass   \n",
       "637              0.0             638         90          72    108    steel   \n",
       "679             50.0             680         45          49     35    steel   \n",
       "702              0.0             703         50         150     50     rock   \n",
       "712             50.0             713         44          46     28      ice   \n",
       "745             50.0             746        140         135     30    water   \n",
       "747             50.0             748         53         142     35   poison   \n",
       "767             50.0             768         60          90     40      bug   \n",
       "770             50.0             771         30         130      5    water   \n",
       "775             50.0             776         91          85     36     fire   \n",
       "789              0.0             790         29         131     37  psychic   \n",
       "793              0.0             794         53          53     79      bug   \n",
       "797              0.0             798         59          31    109    grass   \n",
       "\n",
       "        type2  weight_kg  generation  is_legendary  \n",
       "75     ground      300.0           1         False  \n",
       "79    psychic       78.5           1         False  \n",
       "90        ice      132.5           1         False  \n",
       "94     ground      210.0           1         False  \n",
       "204     steel      125.8           2         False  \n",
       "207    ground      400.0           2         False  \n",
       "211     steel      118.0           2         False  \n",
       "212      rock       20.5           2         False  \n",
       "226    flying       50.5           2         False  \n",
       "247      dark      202.0           2         False  \n",
       "248    flying      216.0           2          True  \n",
       "298      none       97.0           3         False  \n",
       "304      rock      120.0           3         False  \n",
       "305      rock      360.0           3         False  \n",
       "323      none       80.4           3         False  \n",
       "355      none       30.6           3         False  \n",
       "368      rock       23.4           3         False  \n",
       "372    flying      102.6           3         False  \n",
       "375   psychic      550.0           3         False  \n",
       "376      none      230.0           3          True  \n",
       "378      none      205.0           3          True  \n",
       "382      none      950.0           3          True  \n",
       "410     steel      149.5           4         False  \n",
       "463      rock      282.8           4         False  \n",
       "469      none       25.5           4         False  \n",
       "475     steel      340.0           4         False  \n",
       "476      none      106.6           4         False  \n",
       "479      none        0.3           4          True  \n",
       "525      none      260.0           5         False  \n",
       "530      none       31.0           5         False  \n",
       "562      none       76.5           5         False  \n",
       "564      rock       81.0           5         False  \n",
       "597     steel      110.0           5         False  \n",
       "637  fighting      250.0           5          True  \n",
       "679     ghost        4.5           6         False  \n",
       "702     fairy        5.7           6         False  \n",
       "712      none      505.0           6         False  \n",
       "745      none        0.3           7         False  \n",
       "747     water       14.5           7         False  \n",
       "767     water      108.0           7         False  \n",
       "770      none        1.2           7         False  \n",
       "775    dragon      212.0           7         False  \n",
       "789      none      999.9           7          True  \n",
       "793  fighting      333.6           7          True  \n",
       "797     steel        0.1           7          True  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "abv_125_def_df = pokemon_df.loc[pokemon_df['defense'] > 125 ]\n",
    "abv_125_def_df.head(len(abv_125_def_df))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Golem Slowbro Cloyster Onix Forretress Steelix Scizor Shuckle Skarmory Tyranitar Lugia Nosepass Lairon Aggron Torkoal Dusclops Relicanth Salamence Metagross Regirock Registeel Groudon Bastiodon Rhyperior Leafeon Probopass Dusknoir Uxie Gigalith Audino Cofagrigus Carracosta Ferrothorn Cobalion Doublade Carbink Avalugg Wishiwashi Toxapex Golisopod Pyukumuku Turtonator Cosmoem Buzzwole Kartana\n"
     ]
    }
   ],
   "source": [
    "list_of_abv_125_def = abv_125_def_df['name']\n",
    "print(' '.join(list_of_abv_125_def))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['rock' 'water' 'bug' 'steel' 'psychic' 'fire' 'ghost' 'dragon' 'ground'\n",
      " 'grass' 'normal' 'ice' 'poison']\n",
      "['ground' 'psychic' 'ice' 'steel' 'rock' 'flying' 'dark' 'none' 'fighting'\n",
      " 'ghost' 'fairy' 'water' 'dragon']\n"
     ]
    }
   ],
   "source": [
    "list_of_type1 = abv_125_def_df['type1'].unique()\n",
    "list_of_type2 = abv_125_def_df['type2'].unique()\n",
    "print(list_of_type1)\n",
    "print(list_of_type2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "36\n",
      "['rock' 'water' 'bug' 'steel' 'fire' 'ghost' 'dragon' 'ground' 'grass'\n",
      " 'normal' 'ice' 'poison']\n",
      "['ground' 'psychic' 'ice' 'steel' 'rock' 'flying' 'dark' 'none' 'ghost'\n",
      " 'fairy' 'water' 'dragon']\n"
     ]
    }
   ],
   "source": [
    "# Removing legendaries\n",
    "\n",
    "abv_125_def_df_no_leg = abv_125_def_df.loc[abv_125_def_df['is_legendary'] == False]\n",
    "\n",
    "## Len\n",
    "print(len(abv_125_def_df_no_leg))\n",
    "# 36\n",
    "\n",
    "list_of_type1_nl = abv_125_def_df_no_leg['type1'].unique()\n",
    "list_of_type2_nl = abv_125_def_df_no_leg['type2'].unique()\n",
    "print(list_of_type1_nl)\n",
    "print(list_of_type2_nl)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "type1\n",
      "rock      8\n",
      "water     6\n",
      "steel     6\n",
      "bug       4\n",
      "ghost     3\n",
      "fire      2\n",
      "grass     2\n",
      "dragon    1\n",
      "ground    1\n",
      "normal    1\n",
      "ice       1\n",
      "poison    1\n",
      "Name: count, dtype: int64\n",
      "type2\n",
      "none       11\n",
      "rock        6\n",
      "steel       5\n",
      "ground      3\n",
      "psychic     2\n",
      "flying      2\n",
      "water       2\n",
      "ice         1\n",
      "dark        1\n",
      "ghost       1\n",
      "fairy       1\n",
      "dragon      1\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(abv_125_def_df_no_leg['type1'].value_counts())\n",
    "print(abv_125_def_df_no_leg['type2'].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "150.25\n",
      "140.0\n",
      "0    130\n",
      "Name: defense, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "print(abv_125_def_df_no_leg['defense'].mean())\n",
    "print(abv_125_def_df_no_leg['defense'].median())\n",
    "print(abv_125_def_df_no_leg['defense'].mode())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Golem, Slowbro, Cloyster, Onix, Forretress, Steelix, Scizor, Shuckle, Skarmory, Tyranitar, Nosepass, Lairon, Aggron, Torkoal, Dusclops, Relicanth, Salamence, Metagross, Bastiodon, Rhyperior, Leafeon, Probopass, Dusknoir, Gigalith, Audino, Cofagrigus, Carracosta, Ferrothorn, Doublade, Carbink, Avalugg, Wishiwashi, Toxapex, Golisopod, Pyukumuku, Turtonator\n"
     ]
    }
   ],
   "source": [
    "list_of_abv_125_def_nl = abv_125_def_df_no_leg['name']\n",
    "print(', '.join(list_of_abv_125_def_nl))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Plotting defence against pokemon numbers\n",
    "\n",
    "For this, I wanted a Scattergraph w/ X: Pokedex number; Y: Def; and labels on each point with pokemon name.\n",
    "\n",
    "I gave the following prompt to chatGPT:\n",
    "\n",
    "> Please plot a scattergraph using this df abv_125_def_df_no_leg with x axis as 'pokedex_number' and y axis as 'defense' each point on the graph should be labeled with the 'name'\n",
    "\n",
    "and it produced the following diagrams. The first one had no context history on my df or use of these technologies. The second one, I'd been using before for elements of this exercise."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Assuming abv_125_def_df_no_leg is your DataFrame\n",
    "abv_125_def_df_no_leg\n",
    "\n",
    "# Scatter plot\n",
    "abv_125_def_df_no_leg.plot(kind='scatter', x='pokedex_number', y='defense', marker='o')\n",
    "\n",
    "# Label each point with the 'name'\n",
    "for i, row in abv_125_def_df_no_leg.iterrows():\n",
    "    plt.text(row['pokedex_number'], row['defense'], row['name'], fontsize=12, ha='left')\n",
    "\n",
    "# Set labels and title\n",
    "plt.xlabel('Pokedex Number')\n",
    "plt.ylabel('Defense')\n",
    "plt.title('Scatter Plot of Defense against Pokedex Number')\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the scattergraph\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.scatter(abv_125_def_df_no_leg['pokedex_number'], abv_125_def_df_no_leg['defense'])\n",
    "\n",
    "# Adding labels to the points\n",
    "for i, name in enumerate(abv_125_def_df_no_leg['name']):\n",
    "    plt.annotate(name, (abv_125_def_df_no_leg['pokedex_number'].iloc[i], abv_125_def_df_no_leg['defense'].iloc[i]))\n",
    "\n",
    "# Adding labels and title to the plot\n",
    "plt.xlabel('Pokedex Number')\n",
    "plt.ylabel('Defense')\n",
    "plt.title('Scatterplot of Defense vs Pokedex Number')\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "I'm glad you find the information helpful! To prevent label overlapping, you can consider the following approaches using built-in features in pandas, Python, and matplotlib:\n",
    "\n",
    "1. **Matplotlib's `plt.annotate` `bbox` Parameter:**\n",
    "   - Matplotlib's `annotate` function has a `bbox` parameter that allows you to create a bounding box around the text. This can help prevent overlapping.\n",
    "\n",
    "   ```python\n",
    "   for i, name in enumerate(abv_125_def_df_no_leg['name']):\n",
    "       x_offset = 0.1\n",
    "       plt.annotate(name, (abv_125_def_df_no_leg['pokedex_number'].iloc[i] + x_offset, abv_125_def_df_no_leg['defense'].iloc[i]),\n",
    "                    bbox=dict(boxstyle='round,pad=0.3', edgecolor='none', facecolor='none'))\n",
    "   ```\n",
    "\n",
    "2. **Automated Label Placement with `adjustText`:**\n",
    "   - The `adjustText` library in Python can automatically adjust text labels to prevent overlapping. You need to install it first (`pip install adjustText`).\n",
    "\n",
    "   ```python\n",
    "   from adjustText import adjust_text\n",
    "\n",
    "   texts = [plt.text(x, y, name) for x, y, name in zip(abv_125_def_df_no_leg['pokedex_number'], abv_125_def_df_no_leg['defense'], abv_125_def_df_no_leg['name'])]\n",
    "   adjust_text(texts, arrowprops=dict(arrowstyle='->', color='red'))\n",
    "   ```\n",
    "\n",
    "3. **Pandas `plot` with Annotations:**\n",
    "   - If you're using pandas' built-in plotting functionality, you can add annotations directly with the `plot` function. It might handle overlapping labels automatically.\n",
    "\n",
    "   ```python\n",
    "   ax = abv_125_def_df_no_leg.plot.scatter(x='pokedex_number', y='defense', figsize=(10, 6))\n",
    "   for i, name in enumerate(abv_125_def_df_no_leg['name']):\n",
    "       x_offset = 0.1\n",
    "       ax.annotate(name, (abv_125_def_df_no_leg['pokedex_number'].iloc[i] + x_offset, abv_125_def_df_no_leg['defense'].iloc[i]))\n",
    "   ```\n",
    "\n",
    "Choose the method that best suits your needs. The `adjustText` library is particularly useful for automated label adjustments. Adjust parameters like `pad`, `bbox`, and `arrowprops` based on your preferences and the characteristics of your data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 2000x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting the scattergraph\n",
    "plt.figure(figsize=(20, 8))\n",
    "sns.scatterplot(data=abv_125_def_df_no_leg, x='pokedex_number', y='defense', hue='type1', palette=type_color_map)\n",
    "\n",
    "# Adding labels to the points\n",
    "    \n",
    "from adjustText import adjust_text\n",
    "\n",
    "texts = [plt.text(x, y, name) for x, y, name in zip(abv_125_def_df_no_leg['pokedex_number'], abv_125_def_df_no_leg['defense'], abv_125_def_df_no_leg['name'])]\n",
    "# text cut-off above is: ...no_leg['defense'], abv_125_def_df_no_leg['name'])]\n",
    "adjust_text(texts, arrowprops=dict(arrowstyle='-', color='black'), force_text=(1, 1), force_static=(1, 1))\n",
    "    \n",
    "\n",
    "# Adding labels and title to the plot\n",
    "plt.xlabel('Pokedex Number')\n",
    "plt.ylabel('Defense')\n",
    "plt.title('Defense vs Pokedex Number [Non-Legendary]')\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Top 25 Pokemon by defence\n",
    "\n",
    "Finding the 25 pokemon with the highest defence. Sorting, grab top 25. Grabbing top 25 with non-legendaries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "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>attack</th>\n",
       "      <th>base_total</th>\n",
       "      <th>capture_rate</th>\n",
       "      <th>defense</th>\n",
       "      <th>height_m</th>\n",
       "      <th>hp</th>\n",
       "      <th>name</th>\n",
       "      <th>percentage_male</th>\n",
       "      <th>pokedex_number</th>\n",
       "      <th>sp_attack</th>\n",
       "      <th>sp_defense</th>\n",
       "      <th>speed</th>\n",
       "      <th>type1</th>\n",
       "      <th>type2</th>\n",
       "      <th>weight_kg</th>\n",
       "      <th>generation</th>\n",
       "      <th>is_legendary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>140</td>\n",
       "      <td>630</td>\n",
       "      <td>45</td>\n",
       "      <td>230</td>\n",
       "      <td>2.1</td>\n",
       "      <td>70</td>\n",
       "      <td>Aggron</td>\n",
       "      <td>50.0</td>\n",
       "      <td>306</td>\n",
       "      <td>60</td>\n",
       "      <td>80</td>\n",
       "      <td>50</td>\n",
       "      <td>steel</td>\n",
       "      <td>rock</td>\n",
       "      <td>360.0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>10</td>\n",
       "      <td>505</td>\n",
       "      <td>190</td>\n",
       "      <td>230</td>\n",
       "      <td>0.6</td>\n",
       "      <td>20</td>\n",
       "      <td>Shuckle</td>\n",
       "      <td>50.0</td>\n",
       "      <td>213</td>\n",
       "      <td>10</td>\n",
       "      <td>230</td>\n",
       "      <td>5</td>\n",
       "      <td>bug</td>\n",
       "      <td>rock</td>\n",
       "      <td>20.5</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>125</td>\n",
       "      <td>610</td>\n",
       "      <td>25</td>\n",
       "      <td>230</td>\n",
       "      <td>9.2</td>\n",
       "      <td>75</td>\n",
       "      <td>Steelix</td>\n",
       "      <td>50.0</td>\n",
       "      <td>208</td>\n",
       "      <td>55</td>\n",
       "      <td>95</td>\n",
       "      <td>30</td>\n",
       "      <td>steel</td>\n",
       "      <td>ground</td>\n",
       "      <td>400.0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>376</th>\n",
       "      <td>100</td>\n",
       "      <td>580</td>\n",
       "      <td>3</td>\n",
       "      <td>200</td>\n",
       "      <td>1.7</td>\n",
       "      <td>80</td>\n",
       "      <td>Regirock</td>\n",
       "      <td>0.0</td>\n",
       "      <td>377</td>\n",
       "      <td>50</td>\n",
       "      <td>100</td>\n",
       "      <td>50</td>\n",
       "      <td>rock</td>\n",
       "      <td>none</td>\n",
       "      <td>230.0</td>\n",
       "      <td>3</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>712</th>\n",
       "      <td>117</td>\n",
       "      <td>514</td>\n",
       "      <td>55</td>\n",
       "      <td>184</td>\n",
       "      <td>2.0</td>\n",
       "      <td>95</td>\n",
       "      <td>Avalugg</td>\n",
       "      <td>50.0</td>\n",
       "      <td>713</td>\n",
       "      <td>44</td>\n",
       "      <td>46</td>\n",
       "      <td>28</td>\n",
       "      <td>ice</td>\n",
       "      <td>none</td>\n",
       "      <td>505.0</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>95</td>\n",
       "      <td>525</td>\n",
       "      <td>60</td>\n",
       "      <td>180</td>\n",
       "      <td>1.5</td>\n",
       "      <td>50</td>\n",
       "      <td>Cloyster</td>\n",
       "      <td>50.0</td>\n",
       "      <td>91</td>\n",
       "      <td>85</td>\n",
       "      <td>45</td>\n",
       "      <td>70</td>\n",
       "      <td>water</td>\n",
       "      <td>ice</td>\n",
       "      <td>132.5</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>75</td>\n",
       "      <td>590</td>\n",
       "      <td>75</td>\n",
       "      <td>180</td>\n",
       "      <td>1.6</td>\n",
       "      <td>95</td>\n",
       "      <td>Slowbro</td>\n",
       "      <td>50.0</td>\n",
       "      <td>80</td>\n",
       "      <td>130</td>\n",
       "      <td>80</td>\n",
       "      <td>30</td>\n",
       "      <td>water</td>\n",
       "      <td>psychic</td>\n",
       "      <td>78.5</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>52</td>\n",
       "      <td>495</td>\n",
       "      <td>45</td>\n",
       "      <td>168</td>\n",
       "      <td>1.3</td>\n",
       "      <td>60</td>\n",
       "      <td>Bastiodon</td>\n",
       "      <td>88.1</td>\n",
       "      <td>411</td>\n",
       "      <td>47</td>\n",
       "      <td>138</td>\n",
       "      <td>30</td>\n",
       "      <td>rock</td>\n",
       "      <td>steel</td>\n",
       "      <td>149.5</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>45</td>\n",
       "      <td>385</td>\n",
       "      <td>45</td>\n",
       "      <td>160</td>\n",
       "      <td>8.8</td>\n",
       "      <td>35</td>\n",
       "      <td>Onix</td>\n",
       "      <td>50.0</td>\n",
       "      <td>95</td>\n",
       "      <td>30</td>\n",
       "      <td>45</td>\n",
       "      <td>70</td>\n",
       "      <td>rock</td>\n",
       "      <td>ground</td>\n",
       "      <td>210.0</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>382</th>\n",
       "      <td>180</td>\n",
       "      <td>770</td>\n",
       "      <td>3</td>\n",
       "      <td>160</td>\n",
       "      <td>3.5</td>\n",
       "      <td>100</td>\n",
       "      <td>Groudon</td>\n",
       "      <td>0.0</td>\n",
       "      <td>383</td>\n",
       "      <td>150</td>\n",
       "      <td>90</td>\n",
       "      <td>90</td>\n",
       "      <td>ground</td>\n",
       "      <td>none</td>\n",
       "      <td>950.0</td>\n",
       "      <td>3</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>747</th>\n",
       "      <td>63</td>\n",
       "      <td>495</td>\n",
       "      <td>75</td>\n",
       "      <td>152</td>\n",
       "      <td>0.7</td>\n",
       "      <td>50</td>\n",
       "      <td>Toxapex</td>\n",
       "      <td>50.0</td>\n",
       "      <td>748</td>\n",
       "      <td>53</td>\n",
       "      <td>142</td>\n",
       "      <td>35</td>\n",
       "      <td>poison</td>\n",
       "      <td>water</td>\n",
       "      <td>14.5</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>110</td>\n",
       "      <td>448</td>\n",
       "      <td>90</td>\n",
       "      <td>150</td>\n",
       "      <td>0.8</td>\n",
       "      <td>59</td>\n",
       "      <td>Doublade</td>\n",
       "      <td>50.0</td>\n",
       "      <td>680</td>\n",
       "      <td>45</td>\n",
       "      <td>49</td>\n",
       "      <td>35</td>\n",
       "      <td>steel</td>\n",
       "      <td>ghost</td>\n",
       "      <td>4.5</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>378</th>\n",
       "      <td>75</td>\n",
       "      <td>580</td>\n",
       "      <td>3</td>\n",
       "      <td>150</td>\n",
       "      <td>1.9</td>\n",
       "      <td>80</td>\n",
       "      <td>Registeel</td>\n",
       "      <td>0.0</td>\n",
       "      <td>379</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>50</td>\n",
       "      <td>steel</td>\n",
       "      <td>none</td>\n",
       "      <td>205.0</td>\n",
       "      <td>3</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>164</td>\n",
       "      <td>700</td>\n",
       "      <td>45</td>\n",
       "      <td>150</td>\n",
       "      <td>2.0</td>\n",
       "      <td>100</td>\n",
       "      <td>Tyranitar</td>\n",
       "      <td>50.0</td>\n",
       "      <td>248</td>\n",
       "      <td>95</td>\n",
       "      <td>120</td>\n",
       "      <td>71</td>\n",
       "      <td>rock</td>\n",
       "      <td>dark</td>\n",
       "      <td>202.0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>145</td>\n",
       "      <td>700</td>\n",
       "      <td>3</td>\n",
       "      <td>150</td>\n",
       "      <td>1.6</td>\n",
       "      <td>80</td>\n",
       "      <td>Metagross</td>\n",
       "      <td>0.0</td>\n",
       "      <td>376</td>\n",
       "      <td>105</td>\n",
       "      <td>110</td>\n",
       "      <td>110</td>\n",
       "      <td>steel</td>\n",
       "      <td>psychic</td>\n",
       "      <td>550.0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>702</th>\n",
       "      <td>50</td>\n",
       "      <td>500</td>\n",
       "      <td>60</td>\n",
       "      <td>150</td>\n",
       "      <td>0.3</td>\n",
       "      <td>50</td>\n",
       "      <td>Carbink</td>\n",
       "      <td>0.0</td>\n",
       "      <td>703</td>\n",
       "      <td>50</td>\n",
       "      <td>150</td>\n",
       "      <td>50</td>\n",
       "      <td>rock</td>\n",
       "      <td>fairy</td>\n",
       "      <td>5.7</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>55</td>\n",
       "      <td>525</td>\n",
       "      <td>60</td>\n",
       "      <td>145</td>\n",
       "      <td>1.4</td>\n",
       "      <td>60</td>\n",
       "      <td>Probopass</td>\n",
       "      <td>50.0</td>\n",
       "      <td>476</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>40</td>\n",
       "      <td>rock</td>\n",
       "      <td>steel</td>\n",
       "      <td>340.0</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>50</td>\n",
       "      <td>483</td>\n",
       "      <td>90</td>\n",
       "      <td>145</td>\n",
       "      <td>1.7</td>\n",
       "      <td>58</td>\n",
       "      <td>Cofagrigus</td>\n",
       "      <td>50.0</td>\n",
       "      <td>563</td>\n",
       "      <td>95</td>\n",
       "      <td>105</td>\n",
       "      <td>30</td>\n",
       "      <td>ghost</td>\n",
       "      <td>none</td>\n",
       "      <td>76.5</td>\n",
       "      <td>5</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>90</td>\n",
       "      <td>430</td>\n",
       "      <td>90</td>\n",
       "      <td>140</td>\n",
       "      <td>0.9</td>\n",
       "      <td>60</td>\n",
       "      <td>Lairon</td>\n",
       "      <td>50.0</td>\n",
       "      <td>305</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>40</td>\n",
       "      <td>steel</td>\n",
       "      <td>rock</td>\n",
       "      <td>120.0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>150</td>\n",
       "      <td>600</td>\n",
       "      <td>25</td>\n",
       "      <td>140</td>\n",
       "      <td>1.8</td>\n",
       "      <td>70</td>\n",
       "      <td>Scizor</td>\n",
       "      <td>50.0</td>\n",
       "      <td>212</td>\n",
       "      <td>65</td>\n",
       "      <td>100</td>\n",
       "      <td>75</td>\n",
       "      <td>bug</td>\n",
       "      <td>steel</td>\n",
       "      <td>118.0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>85</td>\n",
       "      <td>470</td>\n",
       "      <td>90</td>\n",
       "      <td>140</td>\n",
       "      <td>0.5</td>\n",
       "      <td>70</td>\n",
       "      <td>Torkoal</td>\n",
       "      <td>50.0</td>\n",
       "      <td>324</td>\n",
       "      <td>85</td>\n",
       "      <td>70</td>\n",
       "      <td>20</td>\n",
       "      <td>fire</td>\n",
       "      <td>none</td>\n",
       "      <td>80.4</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>767</th>\n",
       "      <td>125</td>\n",
       "      <td>530</td>\n",
       "      <td>45</td>\n",
       "      <td>140</td>\n",
       "      <td>2.0</td>\n",
       "      <td>75</td>\n",
       "      <td>Golisopod</td>\n",
       "      <td>50.0</td>\n",
       "      <td>768</td>\n",
       "      <td>60</td>\n",
       "      <td>90</td>\n",
       "      <td>40</td>\n",
       "      <td>bug</td>\n",
       "      <td>water</td>\n",
       "      <td>108.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>80</td>\n",
       "      <td>465</td>\n",
       "      <td>25</td>\n",
       "      <td>140</td>\n",
       "      <td>1.7</td>\n",
       "      <td>65</td>\n",
       "      <td>Skarmory</td>\n",
       "      <td>50.0</td>\n",
       "      <td>227</td>\n",
       "      <td>40</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>steel</td>\n",
       "      <td>flying</td>\n",
       "      <td>50.5</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>90</td>\n",
       "      <td>465</td>\n",
       "      <td>75</td>\n",
       "      <td>140</td>\n",
       "      <td>1.2</td>\n",
       "      <td>75</td>\n",
       "      <td>Forretress</td>\n",
       "      <td>50.0</td>\n",
       "      <td>205</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>40</td>\n",
       "      <td>bug</td>\n",
       "      <td>steel</td>\n",
       "      <td>125.8</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>793</th>\n",
       "      <td>139</td>\n",
       "      <td>570</td>\n",
       "      <td>25</td>\n",
       "      <td>139</td>\n",
       "      <td>2.4</td>\n",
       "      <td>107</td>\n",
       "      <td>Buzzwole</td>\n",
       "      <td>0.0</td>\n",
       "      <td>794</td>\n",
       "      <td>53</td>\n",
       "      <td>53</td>\n",
       "      <td>79</td>\n",
       "      <td>bug</td>\n",
       "      <td>fighting</td>\n",
       "      <td>333.6</td>\n",
       "      <td>7</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     attack  base_total capture_rate  defense  height_m   hp        name  \\\n",
       "305     140         630           45      230       2.1   70      Aggron   \n",
       "212      10         505          190      230       0.6   20     Shuckle   \n",
       "207     125         610           25      230       9.2   75     Steelix   \n",
       "376     100         580            3      200       1.7   80    Regirock   \n",
       "712     117         514           55      184       2.0   95     Avalugg   \n",
       "90       95         525           60      180       1.5   50    Cloyster   \n",
       "79       75         590           75      180       1.6   95     Slowbro   \n",
       "410      52         495           45      168       1.3   60   Bastiodon   \n",
       "94       45         385           45      160       8.8   35        Onix   \n",
       "382     180         770            3      160       3.5  100     Groudon   \n",
       "747      63         495           75      152       0.7   50     Toxapex   \n",
       "679     110         448           90      150       0.8   59    Doublade   \n",
       "378      75         580            3      150       1.9   80   Registeel   \n",
       "247     164         700           45      150       2.0  100   Tyranitar   \n",
       "375     145         700            3      150       1.6   80   Metagross   \n",
       "702      50         500           60      150       0.3   50     Carbink   \n",
       "475      55         525           60      145       1.4   60   Probopass   \n",
       "562      50         483           90      145       1.7   58  Cofagrigus   \n",
       "304      90         430           90      140       0.9   60      Lairon   \n",
       "211     150         600           25      140       1.8   70      Scizor   \n",
       "323      85         470           90      140       0.5   70     Torkoal   \n",
       "767     125         530           45      140       2.0   75   Golisopod   \n",
       "226      80         465           25      140       1.7   65    Skarmory   \n",
       "204      90         465           75      140       1.2   75  Forretress   \n",
       "793     139         570           25      139       2.4  107    Buzzwole   \n",
       "\n",
       "     percentage_male  pokedex_number  sp_attack  sp_defense  speed   type1  \\\n",
       "305             50.0             306         60          80     50   steel   \n",
       "212             50.0             213         10         230      5     bug   \n",
       "207             50.0             208         55          95     30   steel   \n",
       "376              0.0             377         50         100     50    rock   \n",
       "712             50.0             713         44          46     28     ice   \n",
       "90              50.0              91         85          45     70   water   \n",
       "79              50.0              80        130          80     30   water   \n",
       "410             88.1             411         47         138     30    rock   \n",
       "94              50.0              95         30          45     70    rock   \n",
       "382              0.0             383        150          90     90  ground   \n",
       "747             50.0             748         53         142     35  poison   \n",
       "679             50.0             680         45          49     35   steel   \n",
       "378              0.0             379         75         150     50   steel   \n",
       "247             50.0             248         95         120     71    rock   \n",
       "375              0.0             376        105         110    110   steel   \n",
       "702              0.0             703         50         150     50    rock   \n",
       "475             50.0             476         75         150     40    rock   \n",
       "562             50.0             563         95         105     30   ghost   \n",
       "304             50.0             305         50          50     40   steel   \n",
       "211             50.0             212         65         100     75     bug   \n",
       "323             50.0             324         85          70     20    fire   \n",
       "767             50.0             768         60          90     40     bug   \n",
       "226             50.0             227         40          70     70   steel   \n",
       "204             50.0             205         60          60     40     bug   \n",
       "793              0.0             794         53          53     79     bug   \n",
       "\n",
       "        type2  weight_kg  generation  is_legendary  \n",
       "305      rock      360.0           3         False  \n",
       "212      rock       20.5           2         False  \n",
       "207    ground      400.0           2         False  \n",
       "376      none      230.0           3          True  \n",
       "712      none      505.0           6         False  \n",
       "90        ice      132.5           1         False  \n",
       "79    psychic       78.5           1         False  \n",
       "410     steel      149.5           4         False  \n",
       "94     ground      210.0           1         False  \n",
       "382      none      950.0           3          True  \n",
       "747     water       14.5           7         False  \n",
       "679     ghost        4.5           6         False  \n",
       "378      none      205.0           3          True  \n",
       "247      dark      202.0           2         False  \n",
       "375   psychic      550.0           3         False  \n",
       "702     fairy        5.7           6         False  \n",
       "475     steel      340.0           4         False  \n",
       "562      none       76.5           5         False  \n",
       "304      rock      120.0           3         False  \n",
       "211     steel      118.0           2         False  \n",
       "323      none       80.4           3         False  \n",
       "767     water      108.0           7         False  \n",
       "226    flying       50.5           2         False  \n",
       "204     steel      125.8           2         False  \n",
       "793  fighting      333.6           7          True  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_25_def = pokemon_df.sort_values(by='defense', ascending=False).head(25)\n",
    "top_25_def"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "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>attack</th>\n",
       "      <th>base_total</th>\n",
       "      <th>capture_rate</th>\n",
       "      <th>defense</th>\n",
       "      <th>height_m</th>\n",
       "      <th>hp</th>\n",
       "      <th>name</th>\n",
       "      <th>percentage_male</th>\n",
       "      <th>pokedex_number</th>\n",
       "      <th>sp_attack</th>\n",
       "      <th>sp_defense</th>\n",
       "      <th>speed</th>\n",
       "      <th>type1</th>\n",
       "      <th>type2</th>\n",
       "      <th>weight_kg</th>\n",
       "      <th>generation</th>\n",
       "      <th>is_legendary</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>212</th>\n",
       "      <td>10</td>\n",
       "      <td>505</td>\n",
       "      <td>190</td>\n",
       "      <td>230</td>\n",
       "      <td>0.6</td>\n",
       "      <td>20</td>\n",
       "      <td>Shuckle</td>\n",
       "      <td>50.0</td>\n",
       "      <td>213</td>\n",
       "      <td>10</td>\n",
       "      <td>230</td>\n",
       "      <td>5</td>\n",
       "      <td>bug</td>\n",
       "      <td>rock</td>\n",
       "      <td>20.5</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>207</th>\n",
       "      <td>125</td>\n",
       "      <td>610</td>\n",
       "      <td>25</td>\n",
       "      <td>230</td>\n",
       "      <td>9.2</td>\n",
       "      <td>75</td>\n",
       "      <td>Steelix</td>\n",
       "      <td>50.0</td>\n",
       "      <td>208</td>\n",
       "      <td>55</td>\n",
       "      <td>95</td>\n",
       "      <td>30</td>\n",
       "      <td>steel</td>\n",
       "      <td>ground</td>\n",
       "      <td>400.0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>305</th>\n",
       "      <td>140</td>\n",
       "      <td>630</td>\n",
       "      <td>45</td>\n",
       "      <td>230</td>\n",
       "      <td>2.1</td>\n",
       "      <td>70</td>\n",
       "      <td>Aggron</td>\n",
       "      <td>50.0</td>\n",
       "      <td>306</td>\n",
       "      <td>60</td>\n",
       "      <td>80</td>\n",
       "      <td>50</td>\n",
       "      <td>steel</td>\n",
       "      <td>rock</td>\n",
       "      <td>360.0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>712</th>\n",
       "      <td>117</td>\n",
       "      <td>514</td>\n",
       "      <td>55</td>\n",
       "      <td>184</td>\n",
       "      <td>2.0</td>\n",
       "      <td>95</td>\n",
       "      <td>Avalugg</td>\n",
       "      <td>50.0</td>\n",
       "      <td>713</td>\n",
       "      <td>44</td>\n",
       "      <td>46</td>\n",
       "      <td>28</td>\n",
       "      <td>ice</td>\n",
       "      <td>none</td>\n",
       "      <td>505.0</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>95</td>\n",
       "      <td>525</td>\n",
       "      <td>60</td>\n",
       "      <td>180</td>\n",
       "      <td>1.5</td>\n",
       "      <td>50</td>\n",
       "      <td>Cloyster</td>\n",
       "      <td>50.0</td>\n",
       "      <td>91</td>\n",
       "      <td>85</td>\n",
       "      <td>45</td>\n",
       "      <td>70</td>\n",
       "      <td>water</td>\n",
       "      <td>ice</td>\n",
       "      <td>132.5</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79</th>\n",
       "      <td>75</td>\n",
       "      <td>590</td>\n",
       "      <td>75</td>\n",
       "      <td>180</td>\n",
       "      <td>1.6</td>\n",
       "      <td>95</td>\n",
       "      <td>Slowbro</td>\n",
       "      <td>50.0</td>\n",
       "      <td>80</td>\n",
       "      <td>130</td>\n",
       "      <td>80</td>\n",
       "      <td>30</td>\n",
       "      <td>water</td>\n",
       "      <td>psychic</td>\n",
       "      <td>78.5</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>410</th>\n",
       "      <td>52</td>\n",
       "      <td>495</td>\n",
       "      <td>45</td>\n",
       "      <td>168</td>\n",
       "      <td>1.3</td>\n",
       "      <td>60</td>\n",
       "      <td>Bastiodon</td>\n",
       "      <td>88.1</td>\n",
       "      <td>411</td>\n",
       "      <td>47</td>\n",
       "      <td>138</td>\n",
       "      <td>30</td>\n",
       "      <td>rock</td>\n",
       "      <td>steel</td>\n",
       "      <td>149.5</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>45</td>\n",
       "      <td>385</td>\n",
       "      <td>45</td>\n",
       "      <td>160</td>\n",
       "      <td>8.8</td>\n",
       "      <td>35</td>\n",
       "      <td>Onix</td>\n",
       "      <td>50.0</td>\n",
       "      <td>95</td>\n",
       "      <td>30</td>\n",
       "      <td>45</td>\n",
       "      <td>70</td>\n",
       "      <td>rock</td>\n",
       "      <td>ground</td>\n",
       "      <td>210.0</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>747</th>\n",
       "      <td>63</td>\n",
       "      <td>495</td>\n",
       "      <td>75</td>\n",
       "      <td>152</td>\n",
       "      <td>0.7</td>\n",
       "      <td>50</td>\n",
       "      <td>Toxapex</td>\n",
       "      <td>50.0</td>\n",
       "      <td>748</td>\n",
       "      <td>53</td>\n",
       "      <td>142</td>\n",
       "      <td>35</td>\n",
       "      <td>poison</td>\n",
       "      <td>water</td>\n",
       "      <td>14.5</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>702</th>\n",
       "      <td>50</td>\n",
       "      <td>500</td>\n",
       "      <td>60</td>\n",
       "      <td>150</td>\n",
       "      <td>0.3</td>\n",
       "      <td>50</td>\n",
       "      <td>Carbink</td>\n",
       "      <td>0.0</td>\n",
       "      <td>703</td>\n",
       "      <td>50</td>\n",
       "      <td>150</td>\n",
       "      <td>50</td>\n",
       "      <td>rock</td>\n",
       "      <td>fairy</td>\n",
       "      <td>5.7</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>110</td>\n",
       "      <td>448</td>\n",
       "      <td>90</td>\n",
       "      <td>150</td>\n",
       "      <td>0.8</td>\n",
       "      <td>59</td>\n",
       "      <td>Doublade</td>\n",
       "      <td>50.0</td>\n",
       "      <td>680</td>\n",
       "      <td>45</td>\n",
       "      <td>49</td>\n",
       "      <td>35</td>\n",
       "      <td>steel</td>\n",
       "      <td>ghost</td>\n",
       "      <td>4.5</td>\n",
       "      <td>6</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>247</th>\n",
       "      <td>164</td>\n",
       "      <td>700</td>\n",
       "      <td>45</td>\n",
       "      <td>150</td>\n",
       "      <td>2.0</td>\n",
       "      <td>100</td>\n",
       "      <td>Tyranitar</td>\n",
       "      <td>50.0</td>\n",
       "      <td>248</td>\n",
       "      <td>95</td>\n",
       "      <td>120</td>\n",
       "      <td>71</td>\n",
       "      <td>rock</td>\n",
       "      <td>dark</td>\n",
       "      <td>202.0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>375</th>\n",
       "      <td>145</td>\n",
       "      <td>700</td>\n",
       "      <td>3</td>\n",
       "      <td>150</td>\n",
       "      <td>1.6</td>\n",
       "      <td>80</td>\n",
       "      <td>Metagross</td>\n",
       "      <td>0.0</td>\n",
       "      <td>376</td>\n",
       "      <td>105</td>\n",
       "      <td>110</td>\n",
       "      <td>110</td>\n",
       "      <td>steel</td>\n",
       "      <td>psychic</td>\n",
       "      <td>550.0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>475</th>\n",
       "      <td>55</td>\n",
       "      <td>525</td>\n",
       "      <td>60</td>\n",
       "      <td>145</td>\n",
       "      <td>1.4</td>\n",
       "      <td>60</td>\n",
       "      <td>Probopass</td>\n",
       "      <td>50.0</td>\n",
       "      <td>476</td>\n",
       "      <td>75</td>\n",
       "      <td>150</td>\n",
       "      <td>40</td>\n",
       "      <td>rock</td>\n",
       "      <td>steel</td>\n",
       "      <td>340.0</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>562</th>\n",
       "      <td>50</td>\n",
       "      <td>483</td>\n",
       "      <td>90</td>\n",
       "      <td>145</td>\n",
       "      <td>1.7</td>\n",
       "      <td>58</td>\n",
       "      <td>Cofagrigus</td>\n",
       "      <td>50.0</td>\n",
       "      <td>563</td>\n",
       "      <td>95</td>\n",
       "      <td>105</td>\n",
       "      <td>30</td>\n",
       "      <td>ghost</td>\n",
       "      <td>none</td>\n",
       "      <td>76.5</td>\n",
       "      <td>5</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>767</th>\n",
       "      <td>125</td>\n",
       "      <td>530</td>\n",
       "      <td>45</td>\n",
       "      <td>140</td>\n",
       "      <td>2.0</td>\n",
       "      <td>75</td>\n",
       "      <td>Golisopod</td>\n",
       "      <td>50.0</td>\n",
       "      <td>768</td>\n",
       "      <td>60</td>\n",
       "      <td>90</td>\n",
       "      <td>40</td>\n",
       "      <td>bug</td>\n",
       "      <td>water</td>\n",
       "      <td>108.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>226</th>\n",
       "      <td>80</td>\n",
       "      <td>465</td>\n",
       "      <td>25</td>\n",
       "      <td>140</td>\n",
       "      <td>1.7</td>\n",
       "      <td>65</td>\n",
       "      <td>Skarmory</td>\n",
       "      <td>50.0</td>\n",
       "      <td>227</td>\n",
       "      <td>40</td>\n",
       "      <td>70</td>\n",
       "      <td>70</td>\n",
       "      <td>steel</td>\n",
       "      <td>flying</td>\n",
       "      <td>50.5</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>304</th>\n",
       "      <td>90</td>\n",
       "      <td>430</td>\n",
       "      <td>90</td>\n",
       "      <td>140</td>\n",
       "      <td>0.9</td>\n",
       "      <td>60</td>\n",
       "      <td>Lairon</td>\n",
       "      <td>50.0</td>\n",
       "      <td>305</td>\n",
       "      <td>50</td>\n",
       "      <td>50</td>\n",
       "      <td>40</td>\n",
       "      <td>steel</td>\n",
       "      <td>rock</td>\n",
       "      <td>120.0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>90</td>\n",
       "      <td>465</td>\n",
       "      <td>75</td>\n",
       "      <td>140</td>\n",
       "      <td>1.2</td>\n",
       "      <td>75</td>\n",
       "      <td>Forretress</td>\n",
       "      <td>50.0</td>\n",
       "      <td>205</td>\n",
       "      <td>60</td>\n",
       "      <td>60</td>\n",
       "      <td>40</td>\n",
       "      <td>bug</td>\n",
       "      <td>steel</td>\n",
       "      <td>125.8</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211</th>\n",
       "      <td>150</td>\n",
       "      <td>600</td>\n",
       "      <td>25</td>\n",
       "      <td>140</td>\n",
       "      <td>1.8</td>\n",
       "      <td>70</td>\n",
       "      <td>Scizor</td>\n",
       "      <td>50.0</td>\n",
       "      <td>212</td>\n",
       "      <td>65</td>\n",
       "      <td>100</td>\n",
       "      <td>75</td>\n",
       "      <td>bug</td>\n",
       "      <td>steel</td>\n",
       "      <td>118.0</td>\n",
       "      <td>2</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>323</th>\n",
       "      <td>85</td>\n",
       "      <td>470</td>\n",
       "      <td>90</td>\n",
       "      <td>140</td>\n",
       "      <td>0.5</td>\n",
       "      <td>70</td>\n",
       "      <td>Torkoal</td>\n",
       "      <td>50.0</td>\n",
       "      <td>324</td>\n",
       "      <td>85</td>\n",
       "      <td>70</td>\n",
       "      <td>20</td>\n",
       "      <td>fire</td>\n",
       "      <td>none</td>\n",
       "      <td>80.4</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>775</th>\n",
       "      <td>78</td>\n",
       "      <td>485</td>\n",
       "      <td>70</td>\n",
       "      <td>135</td>\n",
       "      <td>2.0</td>\n",
       "      <td>60</td>\n",
       "      <td>Turtonator</td>\n",
       "      <td>50.0</td>\n",
       "      <td>776</td>\n",
       "      <td>91</td>\n",
       "      <td>85</td>\n",
       "      <td>36</td>\n",
       "      <td>fire</td>\n",
       "      <td>dragon</td>\n",
       "      <td>212.0</td>\n",
       "      <td>7</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>45</td>\n",
       "      <td>375</td>\n",
       "      <td>255</td>\n",
       "      <td>135</td>\n",
       "      <td>1.0</td>\n",
       "      <td>30</td>\n",
       "      <td>Nosepass</td>\n",
       "      <td>50.0</td>\n",
       "      <td>299</td>\n",
       "      <td>45</td>\n",
       "      <td>90</td>\n",
       "      <td>30</td>\n",
       "      <td>rock</td>\n",
       "      <td>none</td>\n",
       "      <td>97.0</td>\n",
       "      <td>3</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>100</td>\n",
       "      <td>525</td>\n",
       "      <td>45</td>\n",
       "      <td>135</td>\n",
       "      <td>2.2</td>\n",
       "      <td>45</td>\n",
       "      <td>Dusknoir</td>\n",
       "      <td>50.0</td>\n",
       "      <td>477</td>\n",
       "      <td>65</td>\n",
       "      <td>135</td>\n",
       "      <td>45</td>\n",
       "      <td>ghost</td>\n",
       "      <td>none</td>\n",
       "      <td>106.6</td>\n",
       "      <td>4</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>564</th>\n",
       "      <td>108</td>\n",
       "      <td>495</td>\n",
       "      <td>45</td>\n",
       "      <td>133</td>\n",
       "      <td>1.2</td>\n",
       "      <td>74</td>\n",
       "      <td>Carracosta</td>\n",
       "      <td>88.1</td>\n",
       "      <td>565</td>\n",
       "      <td>83</td>\n",
       "      <td>65</td>\n",
       "      <td>32</td>\n",
       "      <td>water</td>\n",
       "      <td>rock</td>\n",
       "      <td>81.0</td>\n",
       "      <td>5</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     attack  base_total capture_rate  defense  height_m   hp        name  \\\n",
       "212      10         505          190      230       0.6   20     Shuckle   \n",
       "207     125         610           25      230       9.2   75     Steelix   \n",
       "305     140         630           45      230       2.1   70      Aggron   \n",
       "712     117         514           55      184       2.0   95     Avalugg   \n",
       "90       95         525           60      180       1.5   50    Cloyster   \n",
       "79       75         590           75      180       1.6   95     Slowbro   \n",
       "410      52         495           45      168       1.3   60   Bastiodon   \n",
       "94       45         385           45      160       8.8   35        Onix   \n",
       "747      63         495           75      152       0.7   50     Toxapex   \n",
       "702      50         500           60      150       0.3   50     Carbink   \n",
       "679     110         448           90      150       0.8   59    Doublade   \n",
       "247     164         700           45      150       2.0  100   Tyranitar   \n",
       "375     145         700            3      150       1.6   80   Metagross   \n",
       "475      55         525           60      145       1.4   60   Probopass   \n",
       "562      50         483           90      145       1.7   58  Cofagrigus   \n",
       "767     125         530           45      140       2.0   75   Golisopod   \n",
       "226      80         465           25      140       1.7   65    Skarmory   \n",
       "304      90         430           90      140       0.9   60      Lairon   \n",
       "204      90         465           75      140       1.2   75  Forretress   \n",
       "211     150         600           25      140       1.8   70      Scizor   \n",
       "323      85         470           90      140       0.5   70     Torkoal   \n",
       "775      78         485           70      135       2.0   60  Turtonator   \n",
       "298      45         375          255      135       1.0   30    Nosepass   \n",
       "476     100         525           45      135       2.2   45    Dusknoir   \n",
       "564     108         495           45      133       1.2   74  Carracosta   \n",
       "\n",
       "     percentage_male  pokedex_number  sp_attack  sp_defense  speed   type1  \\\n",
       "212             50.0             213         10         230      5     bug   \n",
       "207             50.0             208         55          95     30   steel   \n",
       "305             50.0             306         60          80     50   steel   \n",
       "712             50.0             713         44          46     28     ice   \n",
       "90              50.0              91         85          45     70   water   \n",
       "79              50.0              80        130          80     30   water   \n",
       "410             88.1             411         47         138     30    rock   \n",
       "94              50.0              95         30          45     70    rock   \n",
       "747             50.0             748         53         142     35  poison   \n",
       "702              0.0             703         50         150     50    rock   \n",
       "679             50.0             680         45          49     35   steel   \n",
       "247             50.0             248         95         120     71    rock   \n",
       "375              0.0             376        105         110    110   steel   \n",
       "475             50.0             476         75         150     40    rock   \n",
       "562             50.0             563         95         105     30   ghost   \n",
       "767             50.0             768         60          90     40     bug   \n",
       "226             50.0             227         40          70     70   steel   \n",
       "304             50.0             305         50          50     40   steel   \n",
       "204             50.0             205         60          60     40     bug   \n",
       "211             50.0             212         65         100     75     bug   \n",
       "323             50.0             324         85          70     20    fire   \n",
       "775             50.0             776         91          85     36    fire   \n",
       "298             50.0             299         45          90     30    rock   \n",
       "476             50.0             477         65         135     45   ghost   \n",
       "564             88.1             565         83          65     32   water   \n",
       "\n",
       "       type2  weight_kg  generation  is_legendary  \n",
       "212     rock       20.5           2         False  \n",
       "207   ground      400.0           2         False  \n",
       "305     rock      360.0           3         False  \n",
       "712     none      505.0           6         False  \n",
       "90       ice      132.5           1         False  \n",
       "79   psychic       78.5           1         False  \n",
       "410    steel      149.5           4         False  \n",
       "94    ground      210.0           1         False  \n",
       "747    water       14.5           7         False  \n",
       "702    fairy        5.7           6         False  \n",
       "679    ghost        4.5           6         False  \n",
       "247     dark      202.0           2         False  \n",
       "375  psychic      550.0           3         False  \n",
       "475    steel      340.0           4         False  \n",
       "562     none       76.5           5         False  \n",
       "767    water      108.0           7         False  \n",
       "226   flying       50.5           2         False  \n",
       "304     rock      120.0           3         False  \n",
       "204    steel      125.8           2         False  \n",
       "211    steel      118.0           2         False  \n",
       "323     none       80.4           3         False  \n",
       "775   dragon      212.0           7         False  \n",
       "298     none       97.0           3         False  \n",
       "476     none      106.6           4         False  \n",
       "564     rock       81.0           5         False  "
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_25_def_nl = pokemon_df[pokemon_df['is_legendary'] == False].sort_values(by='defense', ascending=False).head(25)\n",
    "top_25_def_nl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean: 159.28, Median: 150.0, Mode: 140\n"
     ]
    }
   ],
   "source": [
    "mean_top_25_def_nl = top_25_def_nl['defense'].mean()\n",
    "med_top_25_def_nl = top_25_def_nl['defense'].median()\n",
    "mode_top_25_def_nl = top_25_def_nl['defense'].mode()[0]\n",
    "\n",
    "print(f'Mean: {mean_top_25_def_nl}, Median: {med_top_25_def_nl}, Mode: {mode_top_25_def_nl}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "type1\n",
       "steel     6\n",
       "rock      6\n",
       "bug       4\n",
       "water     3\n",
       "ghost     2\n",
       "fire      2\n",
       "ice       1\n",
       "poison    1\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "top_25_def_nl['type1'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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