agabka/lung_cancer_data_project.ipynb

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   "source": [
    "This dataset contains information on patients with lung cancer, including their age, gender, air pollution exposure, alcohol use, dust allergy, occupational hazards, genetic risk, chronic lung disease, balanced diet, obesity, smoking, passive smoker, chest pain, coughing of blood, fatigue, weight loss ,shortness of breath ,wheezing ,swallowing difficulty ,clubbing of finger nails and snoring\n",
    "\n",
    "https://www.kaggle.com/datasets/thedevastator/cancer-patients-and-air-pollution-a-new-link/data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "7ce53ad1",
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import plotly.figure_factory as ff\n",
    "import seaborn as sns\n",
    "sns.set()\n",
    "import plotly.express as px\n",
    "import numpy as np\n",
    "import sklearn \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "3b9fd854",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "Requirement already satisfied: plotnine in c:\\users\\hp\\anaconda3\\lib\\site-packages (0.12.4)\n",
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      "Requirement already satisfied: mizani<0.10.0,>0.9.0 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from plotnine) (0.9.3)\n",
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      "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from matplotlib>=3.6.0->plotnine) (2.8.2)\n",
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      "Requirement already satisfied: pytz>=2020.1 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from pandas>=1.5.0->plotnine) (2023.3.post1)\n",
      "Requirement already satisfied: six in c:\\users\\hp\\anaconda3\\lib\\site-packages (from patsy>=0.5.1->plotnine) (1.16.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "[notice] A new release of pip is available: 23.3.2 -> 24.0\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
     ]
    }
   ],
   "source": [
    "pip install plotnine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "6d369f6b",
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   "source": [
    "import plotnine"
   ]
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       "      <th>Patient Id</th>\n",
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       "      Patient Id  Age  Gender  Air Pollution  Alcohol use  Dust Allergy  \\\n",
       "index                                                                     \n",
       "0             P1   33       1              2            4             5   \n",
       "1            P10   17       1              3            1             5   \n",
       "2           P100   35       1              4            5             6   \n",
       "3          P1000   37       1              7            7             7   \n",
       "4           P101   46       1              6            8             7   \n",
       "\n",
       "       OccuPational Hazards  Genetic Risk  chronic Lung Disease  \\\n",
       "index                                                             \n",
       "0                         4             3                     2   \n",
       "1                         3             4                     2   \n",
       "2                         5             5                     4   \n",
       "3                         7             6                     7   \n",
       "4                         7             7                     6   \n",
       "\n",
       "       Balanced Diet  ...  Fatigue  Weight Loss  Shortness of Breath  \\\n",
       "index                 ...                                              \n",
       "0                  2  ...        3            4                    2   \n",
       "1                  2  ...        1            3                    7   \n",
       "2                  6  ...        8            7                    9   \n",
       "3                  7  ...        4            2                    3   \n",
       "4                  7  ...        3            2                    4   \n",
       "\n",
       "       Wheezing  Swallowing Difficulty  Clubbing of Finger Nails  \\\n",
       "index                                                              \n",
       "0             2                      3                         1   \n",
       "1             8                      6                         2   \n",
       "2             2                      1                         4   \n",
       "3             1                      4                         5   \n",
       "4             1                      4                         2   \n",
       "\n",
       "       Frequent Cold  Dry Cough  Snoring   Level  \n",
       "index                                             \n",
       "0                  2          3        4     Low  \n",
       "1                  1          7        2  Medium  \n",
       "2                  6          7        2    High  \n",
       "3                  6          7        5    High  \n",
       "4                  4          2        3    High  \n",
       "\n",
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   ],
   "source": [
    "dane = pd.read_csv(r'C:\\Users\\HP\\Desktop\\podyplomówka\\cancer_patient_data_sets.csv', index_col = 0)\n",
    "dane.head()"
   ]
  },
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Index: 1000 entries, 0 to 999\n",
      "Data columns (total 25 columns):\n",
      " #   Column                    Non-Null Count  Dtype \n",
      "---  ------                    --------------  ----- \n",
      " 0   Patient Id                1000 non-null   object\n",
      " 1   Age                       1000 non-null   int64 \n",
      " 2   Gender                    1000 non-null   int64 \n",
      " 3   Air Pollution             1000 non-null   int64 \n",
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      " 5   Dust Allergy              1000 non-null   int64 \n",
      " 6   OccuPational Hazards      1000 non-null   int64 \n",
      " 7   Genetic Risk              1000 non-null   int64 \n",
      " 8   chronic Lung Disease      1000 non-null   int64 \n",
      " 9   Balanced Diet             1000 non-null   int64 \n",
      " 10  Obesity                   1000 non-null   int64 \n",
      " 11  Smoking                   1000 non-null   int64 \n",
      " 12  Passive Smoker            1000 non-null   int64 \n",
      " 13  Chest Pain                1000 non-null   int64 \n",
      " 14  Coughing of Blood         1000 non-null   int64 \n",
      " 15  Fatigue                   1000 non-null   int64 \n",
      " 16  Weight Loss               1000 non-null   int64 \n",
      " 17  Shortness of Breath       1000 non-null   int64 \n",
      " 18  Wheezing                  1000 non-null   int64 \n",
      " 19  Swallowing Difficulty     1000 non-null   int64 \n",
      " 20  Clubbing of Finger Nails  1000 non-null   int64 \n",
      " 21  Frequent Cold             1000 non-null   int64 \n",
      " 22  Dry Cough                 1000 non-null   int64 \n",
      " 23  Snoring                   1000 non-null   int64 \n",
      " 24  Level                     1000 non-null   object\n",
      "dtypes: int64(23), object(2)\n",
      "memory usage: 203.1+ KB\n"
     ]
    }
   ],
   "source": [
    "dane.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "af7da17c",
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       "      <td>12.005493</td>\n",
       "      <td>14.0</td>\n",
       "      <td>27.75</td>\n",
       "      <td>36.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>73.0</td>\n",
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       "      <th>Gender</th>\n",
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       "      <th>OccuPational Hazards</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>4.840</td>\n",
       "      <td>2.107805</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>7.0</td>\n",
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       "    <tr>\n",
       "      <th>Genetic Risk</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>4.580</td>\n",
       "      <td>2.126999</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>chronic Lung Disease</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>4.380</td>\n",
       "      <td>1.848518</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Balanced Diet</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>4.491</td>\n",
       "      <td>2.135528</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
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       "    <tr>\n",
       "      <th>Obesity</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>4.465</td>\n",
       "      <td>2.124921</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.00</td>\n",
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       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
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       "    <tr>\n",
       "      <th>Smoking</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>3.948</td>\n",
       "      <td>2.495902</td>\n",
       "      <td>1.0</td>\n",
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       "      <td>3.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
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       "    <tr>\n",
       "      <th>Passive Smoker</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>4.195</td>\n",
       "      <td>2.311778</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Chest Pain</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>4.438</td>\n",
       "      <td>2.280209</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Coughing of Blood</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>4.859</td>\n",
       "      <td>2.427965</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Fatigue</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>3.856</td>\n",
       "      <td>2.244616</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Weight Loss</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>3.855</td>\n",
       "      <td>2.206546</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Shortness of Breath</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>4.240</td>\n",
       "      <td>2.285087</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Wheezing</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>3.777</td>\n",
       "      <td>2.041921</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Swallowing Difficulty</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>3.746</td>\n",
       "      <td>2.270383</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Clubbing of Finger Nails</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>3.923</td>\n",
       "      <td>2.388048</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>9.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Frequent Cold</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>3.536</td>\n",
       "      <td>1.832502</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Dry Cough</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>3.853</td>\n",
       "      <td>2.039007</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>4.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Snoring</th>\n",
       "      <td>1000.0</td>\n",
       "      <td>2.926</td>\n",
       "      <td>1.474686</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.00</td>\n",
       "      <td>3.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           count    mean        std   min    25%   50%   75%  \\\n",
       "Age                       1000.0  37.174  12.005493  14.0  27.75  36.0  45.0   \n",
       "Gender                    1000.0   1.402   0.490547   1.0   1.00   1.0   2.0   \n",
       "Air Pollution             1000.0   3.840   2.030400   1.0   2.00   3.0   6.0   \n",
       "Alcohol use               1000.0   4.563   2.620477   1.0   2.00   5.0   7.0   \n",
       "Dust Allergy              1000.0   5.165   1.980833   1.0   4.00   6.0   7.0   \n",
       "OccuPational Hazards      1000.0   4.840   2.107805   1.0   3.00   5.0   7.0   \n",
       "Genetic Risk              1000.0   4.580   2.126999   1.0   2.00   5.0   7.0   \n",
       "chronic Lung Disease      1000.0   4.380   1.848518   1.0   3.00   4.0   6.0   \n",
       "Balanced Diet             1000.0   4.491   2.135528   1.0   2.00   4.0   7.0   \n",
       "Obesity                   1000.0   4.465   2.124921   1.0   3.00   4.0   7.0   \n",
       "Smoking                   1000.0   3.948   2.495902   1.0   2.00   3.0   7.0   \n",
       "Passive Smoker            1000.0   4.195   2.311778   1.0   2.00   4.0   7.0   \n",
       "Chest Pain                1000.0   4.438   2.280209   1.0   2.00   4.0   7.0   \n",
       "Coughing of Blood         1000.0   4.859   2.427965   1.0   3.00   4.0   7.0   \n",
       "Fatigue                   1000.0   3.856   2.244616   1.0   2.00   3.0   5.0   \n",
       "Weight Loss               1000.0   3.855   2.206546   1.0   2.00   3.0   6.0   \n",
       "Shortness of Breath       1000.0   4.240   2.285087   1.0   2.00   4.0   6.0   \n",
       "Wheezing                  1000.0   3.777   2.041921   1.0   2.00   4.0   5.0   \n",
       "Swallowing Difficulty     1000.0   3.746   2.270383   1.0   2.00   4.0   5.0   \n",
       "Clubbing of Finger Nails  1000.0   3.923   2.388048   1.0   2.00   4.0   5.0   \n",
       "Frequent Cold             1000.0   3.536   1.832502   1.0   2.00   3.0   5.0   \n",
       "Dry Cough                 1000.0   3.853   2.039007   1.0   2.00   4.0   6.0   \n",
       "Snoring                   1000.0   2.926   1.474686   1.0   2.00   3.0   4.0   \n",
       "\n",
       "                           max  \n",
       "Age                       73.0  \n",
       "Gender                     2.0  \n",
       "Air Pollution              8.0  \n",
       "Alcohol use                8.0  \n",
       "Dust Allergy               8.0  \n",
       "OccuPational Hazards       8.0  \n",
       "Genetic Risk               7.0  \n",
       "chronic Lung Disease       7.0  \n",
       "Balanced Diet              7.0  \n",
       "Obesity                    7.0  \n",
       "Smoking                    8.0  \n",
       "Passive Smoker             8.0  \n",
       "Chest Pain                 9.0  \n",
       "Coughing of Blood          9.0  \n",
       "Fatigue                    9.0  \n",
       "Weight Loss                8.0  \n",
       "Shortness of Breath        9.0  \n",
       "Wheezing                   8.0  \n",
       "Swallowing Difficulty      8.0  \n",
       "Clubbing of Finger Nails   9.0  \n",
       "Frequent Cold              7.0  \n",
       "Dry Cough                  7.0  \n",
       "Snoring                    7.0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dane.describe().T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "a043ec73",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['Patient Id', 'Age', 'Gender', 'Air Pollution', 'Alcohol use',\n",
       "       'Dust Allergy', 'OccuPational Hazards', 'Genetic Risk',\n",
       "       'chronic Lung Disease', 'Balanced Diet', 'Obesity', 'Smoking',\n",
       "       'Passive Smoker', 'Chest Pain', 'Coughing of Blood', 'Fatigue',\n",
       "       'Weight Loss', 'Shortness of Breath', 'Wheezing',\n",
       "       'Swallowing Difficulty', 'Clubbing of Finger Nails', 'Frequent Cold',\n",
       "       'Dry Cough', 'Snoring', 'Level'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dane.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "9dac40a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "level_counts = dane['Level'].value_counts()\n",
    "ax = level_counts.plot(kind = 'pie',  autopct='%1.1f%%', startangle=90)\n",
    "ax = plt.title('Risk distribiution')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "b45bd771",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "#stworzenie 'binow' dla pokazania wieku pacjentów\n",
    "bins = []\n",
    "for i in range (0, 101, 10):\n",
    "    bins.append(i)\n",
    "\n",
    "plt.hist(dane['Age'], bins, histtype='bar', rwidth=0.8)\n",
    "for i in range(len(bins) - 1):\n",
    "    count = ((dane['Age'] >= bins[i]) & (dane['Age'] < bins[i+1])).sum()\n",
    "    plt.text(bins[i] + 5, count, str(count), ha='center', va='bottom')\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('Number of patients')\n",
    "plt.title('Age of the patients')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "78391055",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "37.174"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mean_age = dane['Age'].mean()\n",
    "mean_age"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "966e57b9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "gender_counts = dane['Gender'].value_counts()\n",
    "ax = gender_counts.plot(kind='bar', color=['blue', 'pink'])\n",
    "\n",
    "# Dodawanie wartości do słupków\n",
    "for i, value in enumerate(gender_counts):\n",
    "    ax.text(i, value + 0.1, str(value), ha='center', va='bottom')\n",
    "\n",
    "# Zmiana etykiet osi x\n",
    "ax.set_xticks([0, 1])\n",
    "ax.set_xticklabels(['Man', 'Woman'])\n",
    "ax.set_title (\"Distribution of patients' gender\")\n",
    "\n",
    "# Dodanie legendy\n",
    "plt.legend()\n",
    "\n",
    "# Wyświetlenie wykresu\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "98973a0f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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2evwbf39/Pv74Y6ZOnUrfvn2xWCwUL16c2bNnW+9tFK9u3bqMHz+e6tWrJxgG6tWrFzly5OCTTz5hwYIFZMmSheDgYN577z1rcEyqkSNHsmjRIqZNm0aBAgWYMmUK9erVs1nHzc2N4OBgfv311yT1fE2dOpXx48czefJk4uLiqFmzJm+99ZbNI0CaNm1K5syZWbBgAatWrSJTpkxUqFCBSZMmPdXQoqurK0uXLmXs2LGMGTMGg8FAs2bNKFCggM1QW0q+ZyLJZbDoiYUiIhnCgwcPCA0NpXPnzrRv3/6J6168eJFDhw5Rs2ZN3N3dreU9e/bkzz//THCDQhFHop4fEZF07uLFi3zxxRfWy/CbNm36r9sYjUb69+9PzZo1adKkCU5OTuzcuZNvv/32iVeJiTgC9fyIiKRzly9fplGjRmTKlInRo0dTtWrVJG23d+9eZs+ezYkTJ4iLi6No0aK0a9eO+vXrp3KLRdI3hR8RERFxKLrUXURERByKwo+IiIg4FIUfERERcSgKPyIiIuJQdKl7IiwWC2az5oE/C6PRoPdQ0iWdm5Je6dx8NkajIckPw1X4SYTZbOHGjbv2bkaG5exsxMcnM9HR94iLS/yJ3SL2oHNT0iudm88uW7bMODklLfxo2EtEREQcinp+MpCjR39h7txZnDhxDA+PTFSuHEy3bv/BxycbALt372LJkvmcOXMab+8sVK9ek06dupApU2ZrHWvXrmbZskWYzWaaNm1B69btbPYxcGAf/P1L0KbNk2+dLyIiklGp5yeDOHnyBD17vouHhwdjx06iS5ce/PTTXgYM+ACAHTu20b//e3h4ZGLkyHH06vUBhw//TM+eXYiLiwPg7NnTTJv2IeHhb9O9ey8WL17Avn17rPs4evQIx479QrNmLe1yjCIiImlBPT8ZxJw503nxxeKMGzcZJycnADJnzsz06ZO5dOkiixbNo3DhIkyePBMXFxcAypYtT7Nmr7Nx4wYaNmzM/v0/UbhwEZo0efTU7u++28z+/T9SuXIwALNnT6ddu3dsHoIoIiLyvFH4yQBu3brJwYMHGDRouDX4AISGhhEaGgbA+fO/8+abza3BB8DHJxuFChXhhx920bBhYwwGA25ubtblzs4umM0mAHbu3E5UVBT16zdKm4MSEUlnzGYzJlOcnfZt4MEDJ2JjYzCZdMVXYpycnDEaU2bASuEnAzhz5jQWiwUfn2yMGDGY77/fCVgICalOr1598Pb2JmtWHyIjL9lsFxcXx5UrkTx8GAtAqVKl+eijGRw/fhRPTy8OHTpAnz4DMZlMzJ07i06duuLsrFNCRByLxWIhOvoG9+/fsWs7rl0zYjbrSq8n8fDwxNs7W5IvaX8c/abLAKKiogAYN24kQUFVGDduEhcu/EFExGwuXrzARx8tpG7dBixbtogVK5ZQr97rxMTEMH/+HO7evYuHhwcAJUq8RJs27enevRNms5lGjZoQGhrGunWf4+GRiRo1arJ8+RI2bfqaPHny0rt3X/LmzWfPQxcRSXXxwcfT0wdXV7dn/sWaXE5OBvX6PIbFYiE2NoY7dx79PsySxfeZ6lP4yQDi4h4C4OfnT//+QwAICKiEp6cXw4cP4qef9tG+fSdMJhMLFkQQETELZ2dnGjRoTEhIKOfOnbXW1bbtO4SHt8ViseDi4sL9+/dZvHg+Q4eOYvfunaxZs5KJE6exZcsmhg0bwPz5y+xyzCIiacFsNlmDj6ent13b4uxs1D1+nsDV9dG0jTt3ovDy8nmmITBd7ZUBZMqUCYAqVUJsyitXrgLAb7/9irOzM1269GDTph0sX/4ZGzZs5v33+3H9+jW8vGx/oJ2dna1zg1at+piiRYtRsWIg27ZtJSSkOn5+/rRs2ZoTJ44TGXk5DY5QRMQ+TKZH8x7jf7FK+hb/fXrWuVkKPxlA/vwFAaxzd+LFX8Lu5ubOwYMH2LdvD25ubhQp8gJeXl7ExcVx+vRv+Pn5J1pvVNQNPv10OZ07d///11F4ez8KSvGB6fr166lyTCIi6Ym9hrrk6aTU90nhJwMoXLgIefLkZevWb23Kd+/eAUDZsuXYtm0LEyaMtgYigK+/Xs+dO7d5+eUaida7ePF8goOrWcORj48PN248CjvXrl2zlomIiDxPFH4yAIPBQNeuPTl69BeGDh3ATz/tZc2alUyfPoXq1cMoXtyfRo3eJCrqBqNHD2P//h9Ztepjpk6dSM2ar1C2bPkEdV648CcbN26gY8cu1rIqVaqxfftWtm/fyvz5sylWrDh58uRNy0MVERFJdQaLxaKp5f9gMpnT5YNN//74Ci8vb1555TU6duyCq6srAD/9tJeIiNmcO3eWbNmy89pr9WjTpn2il68PGdIfHx8f3nuvn7XMbDYze/Z0Nm7cQN68+Rg0aDgvvFD0qdsZ/4C+qKi7mrwn6YrOTfmnhw9juX79Mr6+eXBxcbVrW5ydjbz77jsAzJo1z65tAejevROQPtoS70nfr0cPNk1an47dr/a6efMmU6ZMYfv27dy5cwc/Pz/ef/99AgICABgwYABr16612SZXrlzs3LkTePQLe9asWaxevZro6GgqVqzIsGHDKFSoUJofS2qrWjWEqlVDHrs8MDCIwMCgJNU1atT4BGVGo5EePXrTo0fvZLdRREQkvbN7+Hnvvfe4fv06U6ZMIVu2bHzyySd06NCBtWvXUrRoUX799VfeffddwsPDrdv8/S7Hc+bMYeXKlYwbN45cuXLx4Ycf0rFjR7766itrj0h6YjQaMBqf74l1SU3eIiIi9mDX8HP+/Hl2797Np59+SoUKFQAYNGgQO3fu5KuvvqJ79+6cPn2arl27kiNHjgTbx8bGsmjRIvr06UNoaCgAU6dOJSQkhM2bN1OvXr00PZ5/YzQayJo1k0OEA7PZoqsnRERSweHDB5k//yNOnDiGq6sbVauG0K1bL3x8fLh69QpNmjSge/feNGv2lnWb27dv8/rrdXjnnXdp2bINZrOZjz9exldfrePq1SvkypWHJk2aWZ/9+Lyza/jx8fFh3rx5lCpVylpmMBiwWCzcunWLc+fOERMTQ9Giic87OXnyJHfv3iUo6H9DPd7e3pQsWZKffvopXYYfJycjkz4+wIUrt+3dnFSTP5cXH7Sq+Nz3cImIpLVDh36mV6+uVKxYiZEjxxMdfYsFCyLo2bMzCxYsI2fOXJQvH8DWrd/ahJ8dO7YSFxdH7dqvAjBp0jg2btxA69btKF26LAcPHmDGjCncuXOHtm3fsdfhpRm7hh9vb29rj028b775hj/++INq1apx6tQpDAYDS5cuZefOnRiNRkJDQ+nVqxdeXl5ERkYCkCdPHps6cubMyeXLz3ZzPmfnlO+die/xuXDlNmcu3krx+tMbo9GQKu+jSHLF/ww6Qu+rJI3ZnD7+SIvvKDcY4EmXIc2dO4uCBQsxceJU6xSQl14qTevWzfjqq/W8+WYzXn21LmPGDOfy5UvWK3Y3b95EhQoB5MiRkz/+OM+GDevo3Lkb4eFtAahUKQij0ciyZYtp3LgJWbJkTcWjfXZOTs/2+8Xuc37+7sCBAwwcOJCaNWsSFhbGjBkzMBqN5MuXj4iICM6fP8+ECRM4deoUS5cu5f79+wAJ5va4ublx61byw4XRaMDHJ/MzHYuAp6e7vZsgkihvbw97N0HSiQcPnLh2zfjMv0xTjgGDIfE/wB88uM+xY0dp1aoNTk4G4NEViwULFqBw4SIcOPAjzZu3oGbNWkyePJ5t27bQpk1brl+/xsGDBxg8eDjOzkYOHTqAxWIhNLS6tQ6A0NDqLF26kKNHDxMaWsM6dSF9vC+PmM0GjEYjWbJkwt09+b9j0k342bJlCx988AFly5ZlypQpAPTo0YO2bdta7zpcvHhxcuTIQfPmzfnll1+sBx4bG2vzJsTExFgf5pkcZrOF6Oh7z3A0iXNyMjrUh+6dOw94+NBk72aIWMX/DEZH38dk0qXuArGxMZjNZkwmi11vf2AwxPdIWrBYSLQtUVG3MJvNLF++hOXLlyRY7urqSlycGVdXd15+uQabN/+Xli3bsGnTf3F1daVaterExZmtD8t+660mibblypWrxMWZib8TTnq6LYTJZMFsNnPr1j3u37f9/eLt7ZFxLnUHWLFiBWPGjKF27dpMmjTJ2pNjMBiswSde8eLFAYiMjLQOd129epWCBQta17l69Sr+/ok/0iGp0tM3O6Mym+37YSLyOCaTWeemAKSbp6jHD3U9acgrc+bMGAwGmjVrSe3adRIsd3P7XydAnTp1ef/9Hvz55x9s3ryJl1+uYX1OpKenFwAzZkRYy/4uV67cz3AkaeNZw6rd+7I++eQTRo0aRatWrZg2bZrNENb7779Phw4dbNb/5ZdfAChWrBj+/v54enqyb98+6/Lo6GiOHz9uvU+QiIjI8yBTpswUL+7PH3+cw9+/pPVfkSIvsGjRPA4ePGBdNyCgEr6+2VmzZiUnThyjTp261mXlyz+6uvrmzZs29dy6dYt58z56pmkjGYVde35+//13xo4dS+3atencubPNQzTd3d2pX78+Xbp04aOPPqJevXr8/vvvjBw5kvr161uvAAsPD2fSpElky5aNfPny8eGHH5I7d25q165tr8MSERFJtr/+uspnn32SoLxw4Rfo3Lkbffr8hxEjBvPKK69iMplZuXIFx48fpU2b/3UWODk5Ubv2q6xe/Sm+vr4EBFSyLnvhhWLUqfMaEyeOJjLyEv7+Jfnjj3PMnTuHPHnyUqBAwQT7ft7YNfxs2rSJhw8fsnnzZjZv3myzrHHjxowfP57p06cTERFBREQEXl5eNGjQgF69elnX69mzJ3FxcQwePJgHDx4QGBjIwoUL0+UNDkVERP7NxYsXmDFjSoLy116rz6BBw5k8eSaLF89n8OB+uLi44OdXgqlT51CqVGmb9evUqcvKlSuoVauOzc2BAQYMGMaKFUtYt+5zrl6dQ7ZsvtSs+QqdOnVJsO7zSM/2SkRqPdsr/rlCvaZsf64vdS+aLwvT3qtOdPR9YmLi/n0DkTSiZ3vJP6W3Z3vpvHyylHq2l93n/IiIiIikJYUfERERcSgKPyIiIuJQFH5ERETEoSj8iIiIiENR+BERERGHovAjIiIiDkXhR0RERBxKuniwqYiISHpjNBowGg1ptr+/36DPbLZgNusexKlF4UdEROQfjEYDWbNmSvIdg1OayWTm5s17CkCpROFHRETkH4xGA05ORiZ9fIALV26n6b7z5/Lig1YVMRoNTxV+mjRpQGTkZbp370WLFuEJln/44Vi+/HIt7dp1pEOHzinZ5AxH4UdEROQxLly5naGexejs7My2bVsThJ+4uDh27PgOgyHthvHSM014FhEReU4EBFTi+PGjXLkSaVP+88/7cXf3IGfOXHZqWfqi8CMiIvKcKFHiJXLnzsO2bVtsyrdu/ZawsNo2PT9ff72edu1aEhZWlVq1qtG9eyd+/fWkdXmTJg1YsWIJgwb1oXbtEOrVq8mMGZOJi4tLs+NJLQo/IiIiz5EaNWqxbdtW6+uHDx+yc+d2atV6xVq2Y8c2Jk0aR7NmLfnkkzVMnx5BTEwM48ePtKlr0aJ5lCtXkUWLPqZ9+06sXr2SLVs2pdmxpBaFHxERkedIWFhtm6GvH3/cS9asWSle3N+6TpYsWejXbzCvvVaf3Lnz8NJLpWjQoBFnzpy2qaty5WCaNm1BgQIFefPN5hQr9iJHjhxKy8NJFZrwLCIi8hzx9y9B3rz52LZtCy1ahPPdd99Sq1Ydm3XKlavAuXO/s2TJAi5c+JM//jjP6dOnMJvNNusVKlTE5nXmzJ4a9hIREZH0JyysNtu2bSUmJoZdu3YmCD9btmzi7bdbcOHCn5Qo8RJdu/ake/feCepxcXFJUGaxZPx7D6nnR0RE5DkTFlaLFSuW8NVXX5I3bz4KFSpss3z58sU0aNCIDz4YYC3btWsH8CjcPO+XxCv8iIiIPEb+XF4Zcp8vvuhH/vwFmDdvNuHh7RIsz5kzF7/8cphffz2Jp6cn33+/g7VrPwMgNjYWNze3Z25DeqbwIyIi8g9mswWTycwHrSraZf8mk/mZH20RFlabpUsX2lzlFa93775MnDiG7t074erqQrFixRk8eATDhg3k+PGjlC9vn+NOKwbL8zB4l8JMJjM3btxN8XqdnY34+GSm15TtGeqOoU+raL4sTHuvOtHR94mJyfgT4+T5Ef8zGBV1l7g4879vIM+9hw9juX79Mr6+eXBxcbVZZo8Hm5pMj85LPdg0cU/6fmXLljnJz2JTz4+IiEgi7BFAFMrThq72EhEREYei8CMiIiIOReFHREREHIrCj4iIiDgUhR8RERFxKAo/IiIi4lAUfkRERMSh6D4/IiIiibDHTQ7j6SaHqUvhR0RE5B+MRgM+WT0wOjnZZf9mk4mom/eTHIAGDPiA69evMW/eEpvyLl068Msvh5k5c67NIyu2bdvCkCH9Wbv2a3LmzJWSTc8QFH5ERET+wWg0YHRy4uq6acRev5Cm+3b1zU/ORr0wGg1JDj8BAZWYOXMKMTEPcHNzB+DOnTscP36UnDlzsXfvDzbh5/DhgxQqVNghgw8o/IiIiDxW7PULxEb+bu9m/KvAwErExcVx4sRxypWrAMD+/fvw8vKmYcPGbN/+HV269LCuf+jQQQIDg+zVXLvThGcREZEMrmDBR704v/xy2Fq2b98eAgMrU6lSEKdPn+LatWsA3L59m7NnT1OpUhAxMQ+YP/8jmjZ9nbCwKrRr15KdO7db69i4cQPNmzdi69Zvadq0IWFhVXnvvR789ddVpk+fzKuv1qBBg1dYvnyxdZvY2FgiImbRrNnrVK8eRN26NRk2bCC3bt0E4PLlS1SrFsB3322hY8e3CQurQtOmr/PVV1+myXsFCj8iIiLPhYoVA/nllyPW1/v27aFSpSD8/Uvi7Z2Ffft+AODIkUM4OTlRvnxFhg8fxDfffMV//vM+S5Z8yssv12DQoD58//0Oaz1XrkTyxRdrGDt2EtOmzebEiWO8/fZbODs7M2/eEho1epO5c2dz9uxpAObMmcHmzf+lf/8hrFz5BYMHj2D//n0sXbrQpr2zZk3l7bfbs3jxJwQEBDJx4hguXbqYBu+Uwo+IiMhzISCgEkePHsFisfD772f566+rVKoUhNFoJCCgEvv27QHg8OGfKVWqDFeuRLJr1w7ef78/1aq9TMGChWjXriMvv1ydpUsXWeuNi4vjvff68uKLxSlTphwBAZVwd3ena9eeFCxYiPDwtgCcPXsGgBIlSjJ48AgqVAggd+48VKlSjUqVgjlz5rRNe1u0aEW1aqEUKlSYbt16YTabOXbslzR5rxR+REREngMVK1YiOvoW58+f48cf91Cs2Iv4+mYHoFKlIA4ePADEz/epbA0jZcqUs6mnbNkKCYJKwYKFrV+7u7uTJ09eDIZHtwFwc3MDHg13AdSpUxeTycTcubMZPLgf4eHN2Lr1W0wmk02dhQoVsX7t6ekJPApaaUHhR0RE5DmQPXt2Chd+gaNHj/Djj/uoVCnYuqxSpSCiom5w8uQJTp06SaVKQUDiV5KZzSacnW2vh/rn6/jgk5hJk8YzZEh/YmIeUKVKNYYNG0WtWnUSrOfi4pKgzGJJm3sb6WovERGR50T80NeRI4do1aqNtTxnzlwULvwCX375OZkzZ6Z4cX/rJfFHjhyiatUQ67qHDx+icOEiCepOilu3brJu3RpGjBhLzZqvWMvPnfudTJkyJfOoUp56fkRERJ4TAQGBbN26GbBQunRZm2WVKwexZcsmAgIqYTQaKVLkBYKDqzJ58nh2797FH3+cZ/Hi+Xz//Q7eeis8WfvPnNkTT09Pdu3awYULf3LmzGkmTBjDqVMnrcNi6YF6fkRERB7D1Td/htpn+fIViY2NoXLlKgmGlSpVCmbVqk9s7u8zYsQ45s6dxYQJo7lz5zZFihRl9OiJhIbWSNb+nZ2dGTVqPLNmTaNNmxZ4e3tToUIAnTt3Y9myxdy/fz/Zx5aSDJa0GmDLQEwmMzdu3E3xep2djfj4ZKbXlO2cuXgrxetPL4rmy8K096oTHX2fmJi0mbwmkhTxP4NRUXeJizPbuzmSDjx8GMv165fx9c2Di4urtTyjPd7CUTzu+wWQLVtmm+ejPYl6fkRERP7BbLYQdfN+mj/Y1GQyW/ev4JN6FH5EREQSYY8Aoh7JtKEJzyIiIuJQFH5ERETEoSj8iIiIiENR+BEREYenC58zhpT6Pin8iIiIw3L6/0vZY2Nj7NwSSYr475OT07Ndr6WrvURExGEZjU54eHhy504UAK6ubk98blVqMpsNmEzqgUqMxWIhNjaGO3ei8PDwxGh8tr4bhR8REXFo3t7ZAKwByF6MRiNmsy51fxIPD0/r9+tZKPyIiIhDMxgMZMnii5eXDyaTfe5K7+RkIEuWTNy6dU+9P4/h5OT8zD0+8RR+RETkufTgwQNeeeXlBL0prq6ufPfdDwDs3r2LJUvmc+bMaby9s1C9ek06depCpkyZreuvXbuaZcsWYTabadq0Ba1bt7Opb+DAPvj7l6BNm/bJbquzsxF3d3fu3zfpRodpQOFHRESeS6dP/4bZbGb48DHkzp3XWh7/yIodO7YxeHBfypevyMiR44iLi2Pp0oX07NmFiIhFODs7c/bsaaZN+5CePd/D2zsL48ePpnhxfypXDgbg6NEjHDv2C0OHjrLLMUryKPyIiMhz6fTpX3FxcaF69Zo4Oyf8dbdo0TwKFy7C5MkzrU9AL1u2PM2avc7GjRto2LAx+/f/ROHCRWjSpAUA3323mf37f7SGn9mzp9Ou3Tu4u7un3YHJM9Ol7iIi8lz67bdTFC5cJNHgA3D+/O9UqhRsDT4APj7ZKFSoCD/8sAt4NB/Izc3NutzZ2QWz2QTAzp3biYqKon79Rql3EJIqFH5EROS59NtvpzAYjPTq1ZVatarx2mthTJw4hnv37gKQNasPkZGXbLaJi4vjypVILl9+VF6qVGnOnDnN8eNH+eOP8xw6dIAyZcphMpmYO3cWnTp1fWy4kvTL7uHn5s2bDB06lJdffpkKFSrw1ltvsX//fuvyEydOEB4eTrly5ahevToLFy602d5sNjNjxgxCQkIoW7Ys7du35/z582l9GCIiko6YzWbOnj3NhQt/EhoaxqRJM2jTpj1btnzLBx/8B7PZTN26DdixYxsrViwhKiqKyMhIxo0byd27d7l//z4AJUq8RJs27enevRNt2jSnVq1XCQ0NY8OGdXh4ZKJGjZosX76E8PCm9OnzHy5dumjnI5eksHtcfe+997h+/TpTpkwhW7ZsfPLJJ3To0IG1a9eSLVs22rVrR61atRgxYgSHDh1ixIgRZM2alTfffBOAOXPmsHLlSsaNG0euXLn48MMP6dixI1999RWurq52PjoREbEHi8XCxInT8PXNTqFChQEoV64Cvr6+jBw5hH379tC+fSdMJhMLFkQQETELZ2dnGjRoTEhIKOfOnbXW1bbtO4SHt8ViseDi4sL9+/dZvHg+Q4eOYvfunaxZs5KJE6exZcsmhg0bwPz5y+x01JJUdg0/58+fZ/fu3Xz66adUqFABgEGDBrFz506++uor3N3dcXV1Zfjw4Tg7O1O0aFHOnz/P/PnzefPNN4mNjWXRokX06dOH0NBQAKZOnUpISAibN2+mXr169jw8ERGxEycnJypUCEhQHhxcDXh0JVhwcFW6dOlB+/aduHTpItmz58DLy4vu3Tvh5eVts93fh7ZWrfqYokWLUbFiIKNGDSUkpDp+fv7kzJmTTz9dTmTkZXLnzpO6ByjPxK7DXj4+PsybN49SpUpZywwGAxaLhVu3brF//34CAwNtTrqgoCB+//13rl+/zsmTJ7l79y5BQUHW5d7e3pQsWZKffvopTY9FRETSj7/+usr69V9w9eoVm/KYmEfPhsqaNSsHDx5g3749uLm5UaTIC3h5eREXF8fp07/h5+efaL1RUTf49NPldO7c/f9fR+Ht/SgoxQem69evp9ZhSQqxa8+Pt7e3tccm3jfffMMff/xBtWrVmDp1KsWLF7dZnjNnTgAuXbpEZGQkAHny5EmwzuXLl5+pbc7OKZ8LnZzsPsUqTRmNhlR5H0WSK/5n0NF+Fh2R2RzHxIljaN++I506dbGWb9++GaPRSIUKFVi9eiW7du3k88+/xNn50RVfX321gTt3blOjRliin19Lly6gatUQXnqpJAC+vtmIirqBs7ORa9cehZ4cOXyf+rNP52basvucn787cOAAAwcOpGbNmoSFhTFu3LgE83biLzmMiYmxTkhLbJ1bt24lux1GowEfn8z/vqI8kaen7nsh6ZO3t4e9myCpzMfHj9dff53ly5fg7Z2ZcuXKceDAASIiImjZsiXlyr1Epkyt+fLLLxg/fhRNmjTh119/ZfLkSdSrV48aNUIS1Hn+/Hm+/noD69evt/6OeOWVWgwdOpTatcPYsmUL/v7+lCz5YrIfjqpzM22km/CzZcsWPvjgA8qWLcuUKVMAcHd3JzY21ma9+C7LTJkyWW8qFRsba3ODqZiYGDw8kn8Cmc0WoqPvJXv7x3FyMjrUiX3nzgMePjTZuxkiVvE/g9HR9zGZ9AiB59177/UnV668fP75WubMmUOOHDnp2PFdWrVqQ1TUXXLkyMekSdP56KOZdO78Lr6+vrz9dnvatm1PVNTdBPVNmPAh9eo1wMvL17q8cuUQ6td/ncGDB5M3bz6GDh3FzZtP//tD5+az8/b2SHLPWboIPytWrGDMmDHUrl2bSZMmWXtycufOzdWrV23WjX+dK1cu4uLirGUFCxa0WcffP/Hx2qTSs1Wendls0fso6ZLJZNa56QCcnFxo06YDbdp0sCm3WP73GV+xYiUWLFieYNvEzo8RI8Yluqxbt15069bridsmlc7NtGH38PPJJ58watQoWrduzcCBA22e2BoYGMjKlSsxmUw4OTkBsGfPHooUKYKvry9eXl54enqyb98+a/iJjo7m+PHjhIeH2+V4REQkZRmNBuvzuJ5XmuuTtuwafn7//XfGjh1L7dq16dy5s80MeXd3d958800WLFjAoEGDeOeddzhy5AhLly5lxIgRwKO5PuHh4UyaNIls2bKRL18+PvzwQ3Lnzk3t2rXtdVgiIpJCjEYDWbNmcohwYDZbkj1XSJ6OXcPPpk2bePjwIZs3b2bz5s02yxo3bsz48eNZsGABY8aMoXHjxuTIkYO+ffvSuHFj63o9e/YkLi6OwYMH8+DBAwIDA1m4cKFucCgi8hwwGg04ORmZ9PEBLly5be/mpJr8ubz4oFXF576HK72wa/h59913effdd5+4TpkyZVi1atVjlzs5OdGnTx/69OmT0s0TEZF04sKV25y5mPyreEX+7vnvRxQRERH5G4UfERERcSgKPyIiIuJQFH5ERETEoSj8iIiIiENR+BERERGHovAjIiIiDkXhR0RERByKwo+IiIg4FIUfERERcSgKPyIiIuJQFH5ERETEoSj8iIiIiENR+BERERGHovAjIiIiDkXhR0RERByKwo+IiIg4FIUfERERcSgKPyIiIuJQFH5ERETEoSj8iIiIiENR+BERERGHovAjIiIiDkXhR0RERByKwo+IiIg4FIUfERERcSgKPyIiIuJQFH5ERETEoSj8iIiIiENR+BERERGHovAjIiIiDkXhR0RERByKwo+IiIg4FIUfERERcSgKPyIiIuJQFH5ERETEoSj8iIiIiENR+BERERGHovAjIiIiDkXhR0RERByKwo+IiIg4FIUfERERcSgKPyIiIuJQnO3dABGRjODBgwe88srLmM1mm3JXV1e+++4Hm7K4uDi6dOlAUFAVOnTobLNs7drVLFu2CLPZTNOmLWjdup3N8oED++DvX4I2bdqnzoGIiMKPiEhSnD79G2azmeHDx5A7d15rudFosFkvJuYBI0cO4cSJYwQFVbFZdvbsaaZN+5CePd/D2zsL48ePpnhxfypXDgbg6NEjHDv2C0OHjkr9AxJxYAo/IiJJcPr0r7i4uFC9ek2cnRP/6Dx8+CBTpkzgr7/+SnT5/v0/UbhwEZo0aQHAd99tZv/+H63hZ/bs6bRr9w7u7u6pcxAiAmjOj4hIkvz22ykKFy7y2OAD0K/fe+TKlYdFi1YkutxgMODm5mZ97ezsgtlsAmDnzu1ERUVRv36jFG23iCSknh8RkST47bdTGAxGevXqytGjR3BxcaVGjZp0796LTJkyAzB79nyKFi322DpKlSrNRx/N4Pjxo3h6enHo0AH69BmIyWRi7txZdOrU9YnhSkRShn7KRET+hdls5uzZ0xiNTnTp0oO2bd/hxInjLF48n3PnfmfWrHkYjcYnBh+AEiVeok2b9nTv3gmz2UyjRk0IDQ1j3brP8fDIRI0aNVm+fAmbNn1Nnjx56d27L3nz5kujoxRxHAo/IiL/wmKxMHHiNHx9s1OoUGEAypWrgK+vLyNHDmHfvj0EB1dNUl1t275DeHhbLBYLLi4u3L9/n8WL5zN06Ch2797JmjUrmThxGlu2bGLYsAHMn78sFY9MxDFpzo+IpKiBA/vQpEkDm7Ldu3fRsWMbwsKq0KjRa0ybNol79+7arLN27WoaNXqNhg3rsHz54kTrXbZsUaq2/XGcnJyoUCHAGnziBQdXAx5dCfY0nJ2dcXFxAWDVqo8pWrQYFSsGsm3bVkJCquPn50/Llq05ceI4kZGXU+QYROR/FH5EJMVs2rSRnTu32ZTt2LGN/v3fw8MjEyNHjqNXrw84fPhnevbsQlxcHPC/S8DDw9+me/deLF68gH379ljriL8EvFmzlml6PPH++usq69d/wdWrV2zKY2JiAMiaNWuy6o2KusGnny6nc+fu//86Cm9vbwC8vB79f/369WS2WkQeR+FHRFLEtWt/MW3aJHLmzGVTvmjRPAoXLsLkyTOpVi2U6tVrMmXKLM6f/52NGzcAtpeAv/LKa1SqVJn9+3+01mHvS8BjY2OZOHEM69d/YVP+3XffYjQaKVu2XLLqXbx4PsHB1fDz8wfAx8eHGzcehZ1r165Zy0QkZWnOj4ikiPHjR1GpUmVcXd04ePCAtfz8+d95883m1mEeAB+fbBQqVIQffthFw4aN0/0l4Pny5adOnbp8/PFSXFxceOml0hw5cojlyxfTuHETChYs/NR1XrjwJxs3bmDp0pXWsipVqvHhh2MJCqrCrl3bKVasOHny5H1sHSKSPAo/IvLMNmxYx6+/nmT58s+YPXuazbKsWX2IjLxkUxYXF8eVK5E8fBgLZIxLwPv2HUSBAgX55puvWbp0Idmz56B9+860bNk6WfXNnTubunUbkC9ffmtZjRq1OH78GBMmjCFv3nwMHToKg8HwhFpEJDkUfkTkmURGXmbmzKkMHDg00bkvdes2YNmyRaxYsYR69V4nJiaG+fPncPfuXTw8PICMcQm4m5sbbdu+Q9u27yRp/e+/3//E5aNGjU9QZjQa6dGjNz169E5WG0UkaRR+RCTZLBYL48aNJDi4CtWr10x0nfbtO2EymViwIIKIiFk4OzvToEFjQkJCOXfurHW9tLwE3MnJMaY7ms0WzGaLvZshku4o/IhIsq1d+xlnzvzG0qUrrVduWSyPftnGxcVhNBpxdnamS5cetG/fiUuXLpI9ew68vLzo3r2T9YqmeH8f2vr7JeCjRg21XgKeM2dOPv10OZGRl8mdO89TtddgMGAxm/H29njGI88YzCYTUTfvKwCJ/EO6Cj9z5sxhz549LF++3Fo2YMAA1q5da7Nerly52LlzJ/DozquzZs1i9erVREdHU7FiRYYNG0ahQoXStO0ijmjbtq3cvHmT119/NcGy6tWDaNeuIxUqBBAbG0vlysEUKfIC8CgYnT79G/XqNUiwHfzvEvAZM+b+/+socuXKDdheAv604cdoNGAwGrm6bhqx1y881bYZjatvfnI26oXRaFD4EfmHdBN+lixZwowZMwgMDLQp//XXX3n33XcJDw+3ljk5OVm/njNnDitXrmTcuHHkypWLDz/8kI4dO/LVV1/h6uqaZu0XcUR9+w7k3r17NmWLFs3n119PMGHCFLJnz8GyZYv4/vudfPbZl9aena+/Xs+dO7d5+eUaidab2peAx16/QGzk78neXkQyNruHnytXrjBo0CAOHDhAkSJFbJaZTCZOnz5N165dyZEjR4JtY2NjWbRoEX369CE0NBSAqVOnEhISwubNm6lXr16aHIOIo0rsEu8sWbLg4uKCv39JABo1epMNG9YxevQw6td/nTNnfuOjj2ZSs+YrlC1bPsH2ugRcRFKb3Wf9HTt2jCxZsrB+/XrKli1rs+zcuXPExMRQtGjRRLc9efIkd+/eJSgoyFrm7e1NyZIl+emnn1K13SKSNC+8UIyJE6fy559/0K9fb9as+Yw2bdozZMjIRNd/3CXg9eq9zoQJYzh37pwuAReRZ2L3np+wsDDCwsISXXbq1CkMBgNLly5l586dGI1GQkND6dWrF15eXkRGRgKQJ4/tuH/OnDm5fPnZnofj7JzyudBRrjCJZzQaUuV9lPRt2LCEoSY4uArBwVWStP24cRMTKTXSu/f79O79/jO1zWh0vMCU0T93Mnr7n5Y+N9OG3cPPk/z2228YjUby5ctHREQE58+fZ8KECZw6dYqlS5dy//59gARze9zc3Lh161ay92s0GvDxyfxMbRfw9LTPowhE5H8c5cq254U+N9NGug4/PXr0oG3bttYH/RUvXpwcOXLQvHlzfvnlF+tzfmJjY22e+RMTE2O9eVpymM0WoqPv/fuKT8nJyehQH0R37jzg4UOTvZshSWAwGPDycne4v7IdQXT0fUwms72bkWz63JSk8vb2SPJnWLoOPwaDwRp84hUvXhyAyMhI63DX1atXKViwoHWdq1ev4u/v/0z7jovLuB8W6YXZbNH7mEE4OxtxcjIy6eMDXLhy297NSTUV/HPSpm5JezcjTZlMZv0cZiD63Ewb6Tr8vP/++9y8eZOFCxday3755RcAihUrRoECBfD09GTfvn3W8BMdHc3x48dtLo0XkaS5cOU2Zy4mf8g4vcuf09PeTRCRdCBd93HXr1+f3bt389FHH/HHH3+wY8cOBg4cSP369SlatCiurq6Eh4czadIktm7dysmTJ+nduze5c+emdu3a9m6+iIiIpEPJ6vn56aefKFmyJJkzJ5wUHB0dza5du1LkHjs1atRg+vTpREREEBERgZeXFw0aNKBXr17WdXr27ElcXByDBw/mwYMHBAYGsnDhQt3gUERERBKVrPDTpk0bVq1aRZkyZRIsO378OAMGDEhW+Bk/PuFTjuvUqUOdOnUeu42TkxN9+vShT58+T70/ERGR583AgX04deoka9ZsSLAsLi6OLl06EBRUhQ4dOtssW7t2NcuWLcJsNtO0aQtat26XoF5//xK0adM+VdufFpIcfvr162e9d47FYmH48OF4eiYcPz937hzZs2dPuRaKiIhIkmzatJGdO7cl+ty7mJgHjBw5hBMnjhEUZHvfrbNnTzNt2of07Pke3t5ZGD9+NMWL+1O5cjAAR48e4dixXxg6dFSaHEdqS/Kcnzp16mCxWKxPbAasr+P/GY1GypUrx7hx41KlsSIiIpK4a9f+Ytq0SeTMmSvBssOHD9KpU1sOHvw50W337/+JwoWL0KRJC1555TUqVarM/v0/WpfPnj2ddu3esbmtTEaW5J6fv9+JuXXr1gwfPvyxj50QERGRtDV+/CgqVaqMq6sbBw8esFnWr997lClTjgkTptKkSYME2xoMBtzc3KyvnZ1dMJsf3W9o587tREVFUb9+o1Rtf1pK1tVey5cvV/ARERFJJzZsWMevv56kd+9+iS6fPXs+EydOTXQ4DKBUqdKcOXOa48eP8scf5zl06ABlypTDZDIxd+4sOnXqirNzur47zlNJ1pHcv3+fiIgItm3bxv379zGbbW/IZDAY2LJlS4o0UERERB4vMvIyM2dOZeDAoWTNmjXRdYoWLfbEOkqUeIk2bdrTvXsnzGYzjRo1ITQ0jHXrPsfDIxM1atRk+fIlbNr0NXny5KV3777kzZsvFY4mbSQr/IwZM4bPP/+cSpUqUaJECYzGdH27IBERkeeSxWJh3LiRBAdXoXr1ms9UV9u27xAe3haLxYKLiwv3799n8eL5DB06it27d7JmzUomTpzGli2bGDZsAPPnL0uho0h7yQo/3377Lb1796ZTp04p3R4RERFJorVrP+PMmd9YunQlcXFxANYLk+Li4jAajU/VQfH3oa1Vqz6maNFiVKwYyKhRQwkJqY6fnz85c+bk00+XExl5+bHDaOldssJPXFxcovf4ERERkbSzbdtWbt68yeuvv5pgWfXqQbRr1zHB/XySIirqBp9+upwZM+b+/+socuXKDYCX16Nnbl6/ft2xwk+1atXYuXMnQUFBKd0eERERSaK+fQdy7949m7JFi+bz668nmDBhCtmz50hWvYsXzyc4uBp+fo8eEu7j48ONG9cBuHbtmrUso0pW+Klbty7Dhg3jxo0blC1bFg8PjwTrNGrU6FnbJiIiIk9QsGDhBGVZsmTBxcUFf/+SyarzwoU/2bhxA0uXrrSWValSjQ8/HEtQUBV27dpOsWLFyZMnb/IanQ4kK/zEP1tr3bp1rFu3LsFyg8Gg8CMiIpIBzZ07m7p1G5AvX35rWY0atTh+/BgTJowhb958DB06CoPBYMdWPptkhZ+tW7emdDtEREQkBQwaNPyJy7//fv8Tl48alfA5m0ajkR49etOjR+9naVq6kazwky9fxr22X0RERBxbssLPrFmz/nWd7t27J6dqERERh2U0GnB2fv7vnWc2WzCbLf++YipJ8fDj6elJzpw5FX5ERESSKKuXGxazGU/P5+PBof/GbDIRdfO+3QJQssLPyZMnE5Tdu3ePAwcOMHz4cIYMGfLMDRMREXEUnh4uGIxGrq6bRuz1C/ZuTqpy9c1Pzka9MBoNGSv8JCZTpkyEhITQrVs3Jk6cyBdffJFSVYuIiDiE2OsXiI383d7NeO6l+MBinjx5OHPmTEpXKyIiIpIiUqznx2KxcPnyZebPn6+rwURERCTdSlb48ff3f+zNjSwWCxMnTnymRomIiIiklmSFn27duiUafjw9PalevTqFCxd+1naJiIiIpIpkhZ8ePXqkdDtERERE0kSy5/zExsaydu1a9u3bR3R0ND4+PgQEBNC4cWPc3NxSso0iIiIiKSZZ4Sc6Opo2bdpw8uRJ8ubNS44cOfj999/56quv+Pjjj/nkk0/w8vJK6baKiIiIPLNkXeo+efJkIiMjWbFiBd999x2rVq3iu+++Y8WKFVy/fp3p06endDtFREREUkSyws/WrVvp1asXAQEBNuUBAQH07NmTb7/9NkUaJyIiIpLSkhV+7t69S4ECBRJdVqBAAW7evPksbRIRERFJNckKPy+88ALbtm1LdNnWrVspVKjQMzVKREREJLUka8Jzhw4deO+994iNjaVBgwZkz56da9eusWHDBlavXs3w4cNTuJkiIiIiKSNZ4adu3bqcO3eOiIgIVq9ebS13cXGhW7duNG/ePMUaKCIiIpKSkhV+7t27R9euXQkPD+fQoUPcunWLy5cv07x5c7JkyZLSbRQHYzKZ+OST5Xz11Tr++usvChQoSMuWralTp26CdePi4ujSpQNBQVXo0KGzzbK1a1ezbNkizGYzTZu2oHXrdjbLBw7sg79/Cdq0aZ+qxyMiIunLU835OXHiBI0aNWLJkiUAeHt78/LLL/Pyyy8zbdo0WrZsqSe6yzObO3c2CxdG0KBBIyZOnEpAQCVGjRrKt9/+12a9mJgHDBs2gBMnjiWo4+zZ00yb9iHh4W/TvXsvFi9ewL59e6zLjx49wrFjv9CsWctUPx4REUlfkhx+/vzzT9q2bcutW7coVqyYzTJXV1cGDhzI3bt3admyJZGRkSneUHEM9+7d4/PPV9GsWUvCw9sSEFCJHj16U65cBT7/fJV1vcOHD9KpU1sOHvw50Xr27/+JwoWL0KRJC1555TUqVarM/v0/WpfPnj2ddu3ewd3dPdWPSURE0pckh5958+bh4+PDF198wSuvvGKzzMPDg/DwcD7//HMyZcpEREREijdUHIOrqysREYtp0aKVTbmLiwsPH8ZaX/fr9x65cuVh0aIVidZjMBhsHrPi7OyC2WwCYOfO7URFRVG/fqOUPwAREUn3khx+9uzZwzvvvEPWrFkfu46vry/t2rVjz549j11H5EmcnZ158cXiZMvmi8Vi4fr1ayxfvpj9+3/kjTeaWtebPXs+EydOJXfuPInWU6pUac6cOc3x40f544/zHDp0gDJlymEymZg7dxadOnXF2TnZj7YTEZEMLMmf/n/99VeS7t9TvHhxDXtJiti8+b+MHDkEgODgqoSF/a/HsWjRYo/bDIASJV6iTZv2dO/eCbPZTKNGTQgNDWPdus/x8MhEjRo1Wb58CZs2fU2ePHnp3bsvefPmS9XjERGR9CHJPT/ZsmXj6tWr/7rejRs3ntg7JJJUJUuWYtasefTtO4hTp07SpUt7YmJikrx927bv8O23O9m8eRe9en3A/fv3Wbx4Pl269GD37p2sWbOSIUNGUbjwCwwbNiAVj0RERNKTJIefwMBA1q5d+6/rrVu3jhIlSjxTo0QA8ucvQLlyFWjYsDFDh47mzJnT7Njx3VPV4ezsjIuLCwCrVn1M0aLFqFgxkG3bthISUh0/P39atmzNiRPHiYy8nBqHISIi6UySw0/r1q3Zt28f48ePT/Sv79jYWCZMmMCuXbto1apVIjWI/LuoqBt8881XREXdsCkvUaIkAFeuXEl2vZ9+upzOnbv//+sovL29AfDyevT/9evXk9tsERHJQJI856d06dIMGDCAsWPH8uWXXxIcHEz+/PkxmUxcunSJffv2ERUVxX/+8x9CQkJSs83yHLt37x5jxgynU6euNjcf3Lv30ST6YsVeTFa9ixfPJzi4Gn5+/gD4+Phw48ajsHPt2jVrmYiIPP+e6nKXVq1a4e/vz8KFC9m6dau1Byhz5sxUq1aN9u3bU7Zs2VRpqDiGfPny8+qr9ViyZAFGo5ESJV7i5MnjLF26iEqVggkKqvLUdV648CcbN25g6dKV1rIqVarx4YdjCQqqwq5d2ylWrDh58uRNuQMREZF066mv9a1YsSIVK1YEHg0dGI1GPdJCUlTfvoMoUKAgX3+9nkWL5uHrm52mTVvw9tsdMBgMT13f3LmzqVu3Afny5beW1ahRi+PHjzFhwhjy5s3H0KGjklW3iIhkPM90oxMNE0hqcHV15e23O/D22x2StP733+9/4vJRo8YnKDMajfTo0ZsePXonq40iIpJx6S5vkmqMRgPOzk/1+LgMyWy2YDZb7N0MERFJIoUfSXFZvdywmM14ejrGc7PMJhNRN+8rAImIZBAKP5LiPD1cMBiNXF03jdjrF+zdnFTl6pufnI16YTQaFH5ERDIIhR9JNbHXLxAb+bu9myEiImLj+Z+QISIiIvI3Cj8iIiLiUBR+RERExKEo/IiIiIhDUfgRERERh6LwIyIiIg5F4UdEREQcisKPiIiIOBSFHxEREXEoCj8iIiLiUBR+RERExKGkq/AzZ84cWrdubVN24sQJwsPDKVeuHNWrV2fhwoU2y81mMzNmzCAkJISyZcvSvn17zp8/n5bNFhERkQwk3YSfJUuWMGPGDJuyqKgo2rVrR+HChfn888/p0aMH06dP5/PPP7euM2fOHFauXMno0aNZtWoVBoOBjh07Ehsbm9aHICIiIhmA3Z/qfuXKFQYNGsSBAwcoUqSIzbLPPvsMV1dXhg8fjrOzM0WLFuX8+fPMnz+fN998k9jYWBYtWkSfPn0IDQ0FYOrUqYSEhLB582bq1atnj0MSERGRdMzuPT/Hjh0jS5YsrF+/nrJly9os279/P4GBgTg7/y+jBQUF8fvvv3P9+nVOnjzJ3bt3CQoKsi739vamZMmS/PTTT2l2DCIiIpJx2L3nJywsjLCwsESXRUZGUrx4cZuynDlzAnDp0iUiIyMByJMnT4J1Ll++/EztcnZO+Vzo5GT3rCmpJKN/bzN6++XxMvr3NqO3Xx7Pnt9bu4efJ3nw4AGurq42ZW5ubgDExMRw//59gETXuXXrVrL3azQa8PHJnOztxfF4e3vYuwkiidK5KemVPc/NdB1+3N3dE0xcjomJASBTpky4u7sDEBsba/06fh0Pj+S/qWazhejoe8ne/nGcnIz6IHpORUffx2Qy27sZyaZz8/mlc1PSq5Q+N729PZLcm5Suw0/u3Lm5evWqTVn861y5chEXF2ctK1iwoM06/v7+z7TvuLiM+2Ehac9kMuuckXRJ56akV/Y8N9P1YGpgYCAHDhzAZDJZy/bs2UORIkXw9fXF398fT09P9u3bZ10eHR3N8ePHCQgIsEeTRUREJJ1L1+HnzTff5M6dOwwaNIjTp0+zdu1ali5dSufOnYFHc33Cw8OZNGkSW7du5eTJk/Tu3ZvcuXNTu3ZtO7deRERE0qN0Pezl6+vLggULGDNmDI0bNyZHjhz07duXxo0bW9fp2bMncXFxDB48mAcPHhAYGMjChQsTTIIWERERgXQWfsaPH5+grEyZMqxateqx2zg5OdGnTx/69OmTmk0TERGR50S6HvYSERERSWkKPyIiIuJQFH5ERETEoSj8iIiIiENR+BERERGHovAjIiIiDkXhR0RERByKwo+IiIg4FIUfERERcSgKPyIiIuJQFH5ERETEoSj8iIiIiENR+BERERGHovAjIiIiDkXhR0RERByKwo+IiIg4FIUfERERcSgKPyIiIuJQFH5ERETEoSj8iIiIiENR+BERERGHovAjIiIiDkXhR0RERByKwo+IiIg4FIUfERERcSgKPyIiIuJQFH5ERETEoSj8iIiIiENR+BERERGHovAjIiIiDkXhR0RERByKwo+IiIg4FIUfERERcSgKPyIiIuJQFH5ERETEoSj8iIiIiENR+BERERGHovAjIiIiDkXhR0RERByKwo+IiIg4FIUfERERcSgKPyIiIuJQFH5ERETEoSj8iIiIiENR+BERERGHovAjIiIiDkXhR0RERByKwo+IiIg4FIUfERERcSgKPyIiIuJQFH5ERETEoSj8iIiIiENR+BERERGHovAjIiIiDkXhR0RERByKwo+IiIg4FIUfERERcSgKPyIiIuJQMkT4uXjxIn5+fgn+rV69GoATJ04QHh5OuXLlqF69OgsXLrRzi0VERCS9crZ3A5Li119/xc3NjS1btmAwGKzlXl5eREVF0a5dO2rVqsWIESM4dOgQI0aMIGvWrLz55pt2bLWIiIikRxki/Jw6dYoiRYqQM2fOBMuWLl2Kq6srw4cPx9nZmaJFi3L+/Hnmz5+v8CMiIiIJZIjw8+uvv1KsWLFEl+3fv5/AwECcnf93KEFBQcydO5fr16/j6+ubrH06O6f8iKCTU4YYZZRkyOjf24zefnm8jP69zejtl8ez5/c2Q4SfU6dOkSNHDlq2bMm5c+coVKgQXbt2JSQkhMjISIoXL26zfnwP0aVLl5IVfoxGAz4+mVOk7eIYvL097N0EkUTp3JT0yp7nZroPP7GxsZw7dw4PDw/69u1LpkyZWL9+PR07dmTx4sU8ePAAV1dXm23c3NwAiImJSdY+zWYL0dH3nrnt/+TkZNQH0XMqOvo+JpPZ3s1INp2bzy+dm5JepfS56e3tkeTepHQfflxdXfnpp59wdna2hpxSpUpx5swZFi5ciLu7O7GxsTbbxIeeTJkyJXu/cXEZ98NC0p7JZNY5I+mSzk1Jr+x5bmaIwdRMmTIl6N0pXrw4V65cIXfu3Fy9etVmWfzrXLlypVkbRUREJGNI9+Hn5MmTlC9fnv3799uUHz16lGLFihEYGMiBAwcwmUzWZXv27KFIkSLJnuwsIiIiz690H36KFy/Oiy++yIgRI9i/fz9nzpxh3LhxHDp0iHfffZc333yTO3fuMGjQIE6fPs3atWtZunQpnTt3tnfTRUREJB1K93N+jEYjERERTJo0iV69ehEdHU3JkiVZvHgxfn5+ACxYsIAxY8bQuHFjcuTIQd++fWncuLGdWy4iIiLpUboPPwDZsmVj7Nixj11epkwZVq1alYYtEhERkYwq3Q97iYiIiKQkhR8RERFxKAo/IiIi4lAUfkRERMShKPyIiIiIQ1H4EREREYei8CMiIiIOReFHREREHIrCj4iIiDgUhR8RERFxKAo/IiIi4lAUfkRERMShKPyIiIiIQ1H4EREREYei8CMiIiIOReFHREREHIrCj4iIiDgUhR8RERFxKAo/IiIi4lAUfkRERMShKPyIiIiIQ1H4EREREYei8CMiIiIOReFHREREHIrCj4iIiDgUhR8RERFxKAo/IiIi4lAUfkRERMShKPyIiIiIQ1H4EREREYei8CMiIiIOReFHREREHIrCj4iIiDgUhR8RERFxKAo/IiIi4lAUfkRERMShKPyIiIiIQ1H4EREREYei8CMiIiIOReFHREREHIrCj4iIiDgUhR8RERFxKAo/IiIi4lAUfkRERMShKPyIiIiIQ1H4EREREYei8CMiIiIOReFHREREHIrCj4iIiDgUhR8RERFxKAo/IiIi4lAUfkRERMShKPyIiIiIQ1H4EREREYei8CMiIiIOReFHREREHIrCj4iIiDgUhR8RERFxKM9F+DGbzcyYMYOQkBDKli1L+/btOX/+vL2bJSIiIunQcxF+5syZw8qVKxk9ejSrVq3CYDDQsWNHYmNj7d00ERERSWcyfPiJjY1l0aJF9OjRg9DQUPz9/Zk6dSpXrlxh8+bN9m6eiIiIpDMGi8VisXcjnsWRI0do2rQp//3vfylSpIi1/K233sLPz4/hw4c/dZ0WiwWzOeXfFoMBjEYjN2/HEGcyp3j96YWbqxNemVwx3b2FxRRn7+akKoOTM06Zs2A2m8nIP0k6N58/OjczFp2bz85oNGAwGJK0rnPK7dY+IiMjAciTJ49Nec6cObl8+XKy6jQYDDg5Je0NTI6sXm6pVnd64pQ5i72bkGaMxgzfiQro3Hwe6dzMWHRuptG+7bbnFHL//n0AXF1dbcrd3NyIiYmxR5NEREQkHcvw4cfd3R0gweTmmJgYPDw87NEkERERSccyfPiJH+66evWqTfnVq1fJnTu3PZokIiIi6ViGDz/+/v54enqyb98+a1l0dDTHjx8nICDAji0TERGR9CjDT3h2dXUlPDycSZMmkS1bNvLly8eHH35I7ty5qV27tr2bJyIiIulMhg8/AD179iQuLo7Bgwfz4MEDAgMDWbhwYYJJ0CIiIiIZ/j4/IiIiIk8jw8/5EREREXkaCj8iIiLiUBR+RERExKEo/IiIiIhDUfgRERERh6LwIyIiIg5F4UeeqHXr1vTv3z/RZf3796d169YA+Pn5sXbt2iTVeeHCBfz8/Gzuyi2SHGFhYcycOdPezZDnXFhYGH5+fixevDjR5UOHDsXPz++ZzsW/n8tr167Fz88v2XXJv1P4kRTx/fffU7duXXs3Q0QkVbi4uPDf//43QXlcXBzffvstBoMhxfZVt25dvv/++xSrTxJS+JEUkSNHDtzd3e3dDBGRVBEcHMzhw4e5fPmyTfnevXvJlCmT9SHbKcHd3Z0cOXKkWH2SkMKPpIh/DnstXbqUsLAwypQpQ9u2bZk1axZhYWE22xw+fJhmzZpRqlQpatasyeeff57WzZbn3Lp162jYsCFlypQhLCyMiIgIzGYzZrOZ4OBgm2GMpUuX4ufnx6FDh6xl//nPf+jTp48dWi7pTZkyZcibN2+C3p+NGzfy2muv2fT8/Pzzz7Rq1YoyZcpQvXp1RowYwZ07d6zLb9++Tb9+/QgICCA4OJglS5bY1PnPYa/EphX8c5isdu3abNy40fq526FDB65cucKYMWMIDAykSpUqzJ07N6XejgxP4UdS3Mcff8yUKVPo2rUrX375JZUrV2b27NkJ1luyZAnvvvsuGzduJCQkhMGDB3P+/Hk7tFieR0uWLGHIkCE0b96c9evX07t3bxYuXMjEiRMxGo2Ehoaye/du6/p79uzBYDCwd+9e4NFwxu7du6lZs6a9DkHSmddee80m/MTGxrJlyxbq1atnLTt58iRt27alatWqrF+/nkmTJnHs2DHat29P/NOkevXqxZEjR4iIiGDRokVs27aNixcvPlPbLl++zKeffsqcOXNYvHgxv/zyCw0bNsTZ2ZnPPvuMFi1aMGXKFE6dOvVM+3leKPzIv9qwYQPly5dP8G/Dhg2Jrr9w4ULatGlDkyZNKFKkCF26dKFWrVoJ1uvWrRthYWEULFiQ3r17YzabOXbsWGofjjgAi8XC/PnzCQ8Pp1WrVhQuXJgGDRrQs2dPVqxYwe3bt6lRowb79+8nNjaWuLg4fvzxR2rXrm2diH/gwAFiYmIICQmx89FIevHaa6/ZDH3t3r0bHx8fSpYsaV1n4cKFBAcH07VrVwoXLkxAQACTJ0/m8OHD/Pjjj5w9e5bvv/+eoUOHEhAQQIkSJZg8efIzP4j74cOHDBkyBH9/fypWrEhwcDDu7u707duXIkWK0LlzZwB+++23Z9rP8+K5eKq7pK6wsDA++OCDBOWTJk3i5s2bNmVRUVFcvHiRcuXK2ZRXrFgxQbB54YUXrF9nyZIFgJiYmJRptDi0GzducO3aNSpWrGhTHhgYyMOHDzl79izVqlXDZDJx4MABXF1dcXd3p0WLFnTt2pXY2Fi2b99OcHAwmTNnttNRSHpTqlQpChQowH//+1/atWvHxo0bqV+/vs06x48f5/z585QvXz7B9mfOnCEqKgqA0qVLW8uzZ89OgQIFnrl9RYoUsX7t4eFB/vz5rcNxbm5ugD5j4yn8yL/KnDkzhQoVSrT8n+HH2fnRKRXfvfskRmPCjsekbCfybx53HplMJuDReZo5c2YqVarE7t27cXd3JygoiICAACwWC4cPH2bHjh20bds2DVstGUH80FfLli3ZunUrq1evtlluNptp0KAB7777boJts2XLZh1qNZvNNsviPzsf55/n9MOHDxOs4+LiYvM6sc9YeUTvjKQoLy8v8uXLZzNpFODIkSP2aZA4JF9fX3x9fTlw4IBN+f79+3FxcaFgwYLAo17N3bt3s3fvXoKCgnBzc6N8+fKsWbOGs2fPUqNGDXs0X9Kx+KGvNWvWUKBAAYoWLWqz/MUXX+S3336jUKFC1n8mk4lx48Zx+fJl6xDZzz//bN0mOjqaP/7447H7dHFx4fbt29bXd+7c4caNGyl8ZI5FPT+S4jp27MiECRMoWrQoFSpUYNu2bXzzzTcpeimoSLzz58+zc+dOmzI3Nzfat2/P9OnTyZ8/P9WqVePIkSPMmjWL5s2b4+XlBTwKP6NHj8bJyYmxY8cCjy5pnj59OuXKldPlxpJAiRIlKFSoEFOmTLHOo/m79u3b06pVK4YOHUqbNm24e/cuI0aM4O7duxQuXBhXV1deffVVRo4ciaurK9mzZ2fKlCnExsY+dp/ly5dn1apVBAYG4uLiwrRp0/61p0ieTO+epLi33nqLW7duMXXqVKKioqhUqRKNGzdO8Fe4SErYsGFDgsn3uXLlYufOnbi6urJ06VLGjRtH7ty56dixIx06dLCulydPHvz8/Lh165a1N6hKlSpMnTo1wa0ZROK99tprfPTRR4ne2LVcuXIsWLCA6dOn88Ybb+Dh4UFQUBD9+vWzTmqeMGECEydOtF7o0bx58yf25AwfPpwRI0bQokULsmXLRrt27bh3716qHZ8jMFg0yUJS2M6dO3nxxRdtenqGDBnCH3/8wdKlS+3YMhEREc35kVTw5Zdf0qVLFw4dOsTFixdZt24d69ev5/XXX7d300RERNTzIynv5s2bjB8/nl27dhEdHU3BggVp06YNzZs3t3fTREREFH5ERETEsWjYS0RERByKwo+IiIg4FIUfERERcSgKPyIiIuJQFH5ERETEoSj8iEi6cubMGUaNGkWdOnUoW7YsFStWpHnz5nz88ceJPswxtfj5+TFz5sw025+IpB093kJE0o2NGzcyYMAAXnjhBdq1a0eRIkV48OABO3bsYNy4cezcuZOIiAgMBoO9myoiGZjCj4ikC2fOnGHAgAFUqVKFmTNn2jy4MTQ0lMqVK9OzZ0++/vpr6tevb8eWikhGp2EvEUkXFixYgNFoZPTo0Yk+sbpOnTo0atQIo/HRx5bZbGbevHnUrl2bUqVKUadOHZYvX26zTevWrRk0aBDz5s2jevXqlC5dmhYtWnD48GGb9X788UeaN29O2bJlqVOnDj/88EOC/cfExDBx4kRCQ0MpVaoUDRo0YOPGjTbrhIWFMXbsWN5++20qVKjA0KFDn/VtEZFUoJ4fEUkXtm7dSlBQEL6+vo9dZ8KECdavhw8fztq1a+ncuTPly5fnp59+YuzYsURHR9OtWzfreps2baJo0aIMHjwYi8XChAkT6NmzJ9999x1OTk4cO3aM9u3bU7lyZaZPn86lS5d47733bPZrsVjo1q0bP//8Mz179qRo0aJs3ryZ3r17ExsbS6NGjazrfvzxx7Rq1YpOnTrh7u6ecm+QiKQYhR8Rsbtbt25x69YtChcunGBZXFyczWuDwcAff/zBZ599xnvvvUenTp0AqFatGgaDgblz59KyZUt8fHys2y9cuBBPT08A7t69S79+/Thx4gSlSpVi7ty5ZMuWjY8++ghXV1cAsmbNSu/eva37/OGHH9i1axdTp06lbt26AISEhHD//n0mTZpE/fr1rb1VOXPmpH///tYeKhFJf/TTKSJ2ZzabEy0/f/48L730ks2/2rVrs3fvXiwWC2FhYcTFxVn/hYWFERMTw4EDB6x1FCtWzBp8AHLlygXA/fv3AThw4AAhISHW4APwyiuv4OTkZH29Z88eDAYDoaGhCfb3119/8dtvv1nXLVq0qIKPSDqnnh8RsTsfHx8yZcrExYsXbcrz5MnDmjVrrK9nz57NqVOnuHnzJgD16tVLtL4rV65Yv/bw8LBZ9vc5Q/Co1ylbtmw26zg7O1t7jgBu3ryJxWKhQoUKie7v6tWrlChRAoDs2bM/9jhFJH1Q+BGRdKFmzZp899133Llzx9pT4+rqSunSpa3rZM2aFQBvb28Ali5dSubMmRPUlTdv3iTvN2vWrFy7ds2mzGKxcOvWLetrLy8vMmXKxLJlyxKto1ChQknen4jYn/pmRSRd6Ny5MyaTiYEDBxIbG5tg+YMHD/jzzz8BCAwMBCAqKorSpUtb/928eZNp06ZZe4aSIjg4mJ07d1qHwQB27dplc0PFSpUqce/ePSwWi83+fvvtN2bPnp1gXpKIpG/q+RGRdOHFF19k8uTJ9OvXj0aNGtGsWTP8/PyIi4vj4MGDrFmzhmvXrvHOO+9QvHhxGjZsyJAhQ7h48SKlSpXi999/Z+rUqeTPnz/RidOP061bN7Zs2UKHDh145513iIqKYurUqbi4uFjXCQ0NJTAwkK5du9K1a1eKFi3KkSNHmDlzJtWqVUswbCYi6ZvCj4ikG7Vq1WL9+vV8+umnrFmzhosXL2KxWChQoAB169alRYsW1mAzbtw45s6dy8qVK4mMjMTX15e6devSq1cvm8nK/6Zw4cKsWLGC8ePH07t3b3x9fenXrx/jx4+3rmM0Gpk3bx7Tp09n7ty5XL9+nVy5ctG2bVuby+pFJGMwWCwWi70bISIiIpJWNOdHREREHIrCj4iIiDgUhR8RERFxKAo/IiIi4lAUfkRERMShKPyIiIiIQ1H4EREREYei8CMiIiIOReFHREREHIrCj4iIiDgUhR8RERFxKP8HXgyo97rVf/sAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Grupowanie danych\n",
    "grouped_data = dane.groupby(['Gender', 'Level']).size().unstack()\n",
    "\n",
    "# Ustawienia kategorii i szerokości słupków\n",
    "categories = grouped_data.columns\n",
    "bar_width = 0.35\n",
    "bar_positions_man = np.arange(len(categories))\n",
    "bar_positions_woman = [pos + bar_width for pos in bar_positions_man]\n",
    "\n",
    "# Wygenerowanie wykresu słupkowego\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "ax.bar(bar_positions_man, grouped_data.loc[1], width=bar_width, label='Man')\n",
    "ax.bar(bar_positions_woman, grouped_data.loc[2], width=bar_width, label='Woman')\n",
    "\n",
    "# Dodanie wartości procentowych do słupków\n",
    "for i, column in enumerate(categories):\n",
    "    for j, value in enumerate(grouped_data.index):\n",
    "        total = grouped_data[column].sum()\n",
    "        percent = grouped_data.loc[value, column] / total\n",
    "        height = grouped_data.loc[value, column]\n",
    "        ax.text(i + j * bar_width, height + 0.2, f'{percent:.0%}', ha='center', va='bottom')  \n",
    "\n",
    "# Ustawienia etykiet i tytułów\n",
    "plt.xlabel('Gender')\n",
    "plt.ylabel('Count')\n",
    "plt.title('Distribution of level by gender')\n",
    "\n",
    "# Dodanie legendy\n",
    "plt.legend(title='Level')\n",
    "\n",
    "# Zmiana etykiet osi x\n",
    "ax.set_xticks([pos + bar_width / 2 for pos in bar_positions_man])\n",
    "ax.set_xticklabels(categories)\n",
    "\n",
    "# Wyświetlenie wykresu\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8d81604c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Smoking\n",
       " 1    181\n",
       " 2    222\n",
       " 3    172\n",
       " 4     59\n",
       " 5     10\n",
       " 6     60\n",
       " 7    207\n",
       " 8     89\n",
       " dtype: int64]"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dane3 = [dane.groupby('Smoking').size()]\n",
    "dane3 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "d85261ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dane['Gender'] = dane['Gender'].replace({1: 'Man', 2: 'Woman'})\n",
    "smoking_counts = dane.groupby(['Smoking', 'Gender']).size()\n",
    "\n",
    "# Zamiana liczby na procent\n",
    "smoking_percentages = smoking_counts / smoking_counts.groupby('Gender').sum() * 100\n",
    "\n",
    "# Sortowanie danych według stopnia 'Smoking'\n",
    "smoking_percentages_sorted = smoking_percentages.sort_index(level='Smoking', sort_remaining=False)\n",
    "\n",
    "plt.figure(figsize=(14, 6))\n",
    "\n",
    "# Tworzenie wykresu słupkowego poziomego\n",
    "ax = smoking_percentages_sorted.plot(kind='barh')\n",
    "\n",
    "# Dodawanie wartości procentowych do słupków\n",
    "for i, value in enumerate(smoking_percentages_sorted):\n",
    "    ax.text(value + 0.1, i, f'{value:.2f}%', ha='left', va='center')\n",
    "\n",
    "# Dodanie legendy\n",
    "plt.legend()\n",
    "\n",
    "# Ustawienia etykiet i tytułów\n",
    "plt.xlabel('Percentage')\n",
    "plt.ylabel('Smoking, Gender')\n",
    "plt.title('Distribution of smoking by gender (%)')\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f5daf17c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Passive Smoker\n",
       " 1     60\n",
       " 2    284\n",
       " 3    140\n",
       " 4    161\n",
       " 5     30\n",
       " 6     30\n",
       " 7    187\n",
       " 8    108\n",
       " dtype: int64]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dane3 = [dane.groupby('Passive Smoker').size()]\n",
    "dane3 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "86122d04",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "dane['Gender'] = dane['Gender'].replace({1: 'Man', 2: 'Woman'})\n",
    "smoking_counts = dane.groupby(['Passive Smoker', 'Gender']).size()\n",
    "\n",
    "# Zamiana liczby na procent\n",
    "smoking_percentages = smoking_counts / smoking_counts.groupby('Gender').sum() * 100\n",
    "\n",
    "# Sortowanie danych według stopnia 'Passive smoker'\n",
    "smoking_percentages_sorted = smoking_percentages.sort_index(level='Passive Smoker', sort_remaining=False)\n",
    "\n",
    "plt.figure(figsize=(15, 6))\n",
    "\n",
    "# Tworzenie wykresu słupkowego poziomego\n",
    "ax = smoking_percentages_sorted.plot(kind='barh')\n",
    "\n",
    "# Dodawanie wartości procentowych do słupków\n",
    "for i, value in enumerate(smoking_percentages_sorted):\n",
    "    ax.text(value + 0.1, i, f'{value:.2f}%', ha='left', va='center')\n",
    "\n",
    "# Dodanie legendy\n",
    "plt.legend()\n",
    "\n",
    "# Ustawienia etykiet i tytułów\n",
    "plt.xlabel('Percentage')\n",
    "plt.ylabel('Passive Smoker, Gender')\n",
    "plt.title('Distribution of passive smokers by gender (%)')\n",
    "\n",
    "\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "28c8acde",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dane['Gender'] = dane['Gender'].replace({1: 'Man', 2: 'Woman'})\n",
    "Genetic_risk_counts = dane.groupby(['Genetic Risk', 'Gender']).size()\n",
    "Genetic_risk_percentages= Genetic_risk_counts / Genetic_risk_counts.groupby('Gender').sum() * 100\n",
    "\n",
    "Genetic_risk_percentages_sorted = Genetic_risk_percentages.sort_index(level='Genetic Risk', sort_remaining=False)\n",
    "\n",
    "plt.figure(figsize=(15, 6))\n",
    "\n",
    "# Tworzenie wykresu słupkowego poziomego\n",
    "ax = Genetic_risk_percentages_sorted.plot(kind='barh')\n",
    "\n",
    "# Dodawanie wartości procentowych do słupków\n",
    "for i, value in enumerate(Genetic_risk_percentages_sorted):\n",
    "    ax.text(value + 0.1, i, f'{value:.2f}%', ha='left', va='center')\n",
    "\n",
    "# Dodanie legendy\n",
    "plt.legend()\n",
    "\n",
    "# Ustawienia etykiet i tytułów\n",
    "plt.xlabel('Percentage')\n",
    "plt.ylabel('Genetic risk, Gender')\n",
    "plt.title('Distribution of genetic risk by gender (%)')\n",
    "\n",
    "# Wyświetlenie wykresu\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "818e4ee5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "Genetic_risk_counts = dane.groupby(['Genetic Risk', 'Level']).size()\n",
    "\n",
    "# Sortowanie danych według ryzyka genetycznego i liczby w odwrotnej kolejności\n",
    "Genetic_risk_counts_sorted = Genetic_risk_counts.sort_index(level=['Genetic Risk', 'Level'], key=lambda x: x.map({'High': 1, 'Medium': 2, 'Low': 3}))\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "# Tworzenie wykresu słupkowego horyzontalnego\n",
    "ax = Genetic_risk_counts_sorted.plot(kind='barh')\n",
    "\n",
    "# Dodawanie wartości do słupków\n",
    "for i, value in enumerate(Genetic_risk_counts_sorted):\n",
    "    ax.text(value + 0.1, i, str(value), ha='left', va='center')\n",
    "\n",
    "# Ustawienia etykiet i tytułów\n",
    "plt.xlabel('Count')\n",
    "plt.ylabel('Genetic Risk, Level')\n",
    "plt.title('Distribution of level by genetic risk')\n",
    "\n",
    "# Wyświetlenie wykresu\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f10041ca",
   "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>Smoking</th>\n",
       "      <th>Alcohol use</th>\n",
       "      <th>Level</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>68</th>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>989</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>992</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>993</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>994</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>High</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>256 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Smoking  Alcohol use Level\n",
       "index                            \n",
       "4            8            8  High\n",
       "20           8            8  High\n",
       "22           8            8  High\n",
       "46           8            8  High\n",
       "68           8            8  High\n",
       "...        ...          ...   ...\n",
       "989          7            7  High\n",
       "992          7            7  High\n",
       "993          7            7  High\n",
       "994          7            7  High\n",
       "995          7            7  High\n",
       "\n",
       "[256 rows x 3 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = dane[(dane['Smoking'] >= 7) & (dane['Alcohol use'] >= 7)]\n",
    "x_sorted = x[['Smoking', 'Alcohol use', 'Level']].sort_values(by=['Smoking', 'Alcohol use'], ascending=False)\n",
    "x_sorted"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "15eebd5b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Air Pollution\n",
       "1    141\n",
       "2    201\n",
       "3    173\n",
       "4     90\n",
       "5     20\n",
       "6    326\n",
       "7     30\n",
       "8     19\n",
       "Name: count, dtype: int64"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dane7 = dane['Air Pollution'].value_counts()\n",
    "dane7.sort_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "9bd91fc9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "air_pollution = dane.groupby(['Air Pollution', 'Level']).size()\n",
    "\n",
    "# Sortowanie danych według ryzyka genetycznego i liczby w odwrotnej kolejności\n",
    "air_pollution_sorted = air_pollution.sort_index(level=['Air Pollution', 'Level'], key=lambda x: x.map({'High': 1, 'Medium': 2, 'Low': 3}))\n",
    "\n",
    "plt.figure(figsize=(10, 6))\n",
    "\n",
    "# Tworzenie wykresu słupkowego horyzontalnego\n",
    "ax = air_pollution_sorted.plot(kind='barh')\n",
    "\n",
    "# Dodawanie wartości do słupków\n",
    "for i, value in enumerate(air_pollution_sorted):\n",
    "    ax.text(value + 0.1, i, str(value), ha='left', va='center')\n",
    "\n",
    "# Ustawienia etykiet i tytułów\n",
    "plt.xlabel('Count')\n",
    "plt.ylabel('Air Pollution, Level')\n",
    "plt.title('Distribution of level by air pollution')\n",
    "\n",
    "# Wyświetlenie wykresu\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "402f9c5a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
        {
         "coloraxis": "coloraxis",
         "hovertemplate": "x: %{x}<br>y: %{y}<br>color: %{z}<extra></extra>",
         "name": "0",
         "type": "heatmap",
         "x": [
          "Air Pollution",
          "Alcohol use",
          "Dust Allergy",
          "OccuPational Hazards",
          "Genetic Risk",
          "chronic Lung Disease",
          "Balanced Diet",
          "Obesity",
          "Smoking",
          "Passive Smoker",
          "Chest Pain",
          "Coughing of Blood",
          "Fatigue",
          "Weight Loss",
          "Shortness of Breath",
          "Wheezing",
          "Swallowing Difficulty",
          "Clubbing of Finger Nails",
          "Frequent Cold",
          "Dry Cough",
          "Snoring",
          "Level"
         ],
         "xaxis": "x",
         "y": [
          "Air Pollution",
          "Alcohol use",
          "Dust Allergy",
          "OccuPational Hazards",
          "Genetic Risk",
          "chronic Lung Disease",
          "Balanced Diet",
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         "yaxis": "y",
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        },
        "title": {
         "text": "Correlation heatmap for health-related features"
        },
        "width": 800,
        "xaxis": {
         "anchor": "y",
         "constrain": "domain",
         "domain": [
          0,
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     },
     "metadata": {},
     "output_type": "display_data"
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   ],
   "source": [
    "data = dane.replace({'Level':{'High' : 3, 'Medium' : 2, 'Low' : 1}})\n",
    "data = data.drop(['Patient Id', 'Gender', 'Age'], axis=1)\n",
    "\n",
    "corr_matrix = data.corr()\n",
    "corr_df = corr_matrix.stack().reset_index()\n",
    "corr_df.columns = ['x', 'y', 'value']\n",
    "\n",
    "\n",
    "fig = px.imshow(corr_matrix, x=corr_matrix.columns.tolist(), y=corr_matrix.columns.tolist(), zmin=-1, zmax=1, color_continuous_scale=['blue', 'white', 'red'])\n",
    "\n",
    "fig.update_layout(\n",
    "    title='Correlation heatmap for health-related features',\n",
    "    width=800,\n",
    "    height=800, \n",
    "    coloraxis_colorbar=dict(\n",
    "        title='Correlation', \n",
    "        tickvals=[-1, -0.5, 0, 0.5, 1],  \n",
    "        ticktext=['-1', '-0.5', '0', '0.5', '1'], \n",
    "    ),\n",
    "    coloraxis=dict(\n",
    "        colorscale=[\n",
    "            [0, 'rgb(58, 89, 156)'],  # Niebieski (cool)\n",
    "            [0.5, 'rgb(255, 255, 255)'],  # Biały\n",
    "            [1, 'rgb(179, 35, 26)']  # Czerwony (warm)\n",
    "        ],  \n",
    "    ),\n",
    "    font=dict(\n",
    "        family=\"Arial\",  \n",
    "        size=12, \n",
    "        color=\"black\", \n",
    "    ))\n",
    "    \n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "00915ec0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import sklearn "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "f02e1f34",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Patient Id</th>\n",
       "      <th>Age</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Air Pollution</th>\n",
       "      <th>Alcohol use</th>\n",
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       "      <th>Genetic Risk</th>\n",
       "      <th>chronic Lung Disease</th>\n",
       "      <th>Balanced Diet</th>\n",
       "      <th>...</th>\n",
       "      <th>Fatigue</th>\n",
       "      <th>Weight Loss</th>\n",
       "      <th>Shortness of Breath</th>\n",
       "      <th>Wheezing</th>\n",
       "      <th>Swallowing Difficulty</th>\n",
       "      <th>Clubbing of Finger Nails</th>\n",
       "      <th>Frequent Cold</th>\n",
       "      <th>Dry Cough</th>\n",
       "      <th>Snoring</th>\n",
       "      <th>Level</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>index</th>\n",
       "      <th></th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>P1</td>\n",
       "      <td>33</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
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       "      <td>4</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>P10</td>\n",
       "      <td>17</td>\n",
       "      <td>1</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>P100</td>\n",
       "      <td>35</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
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      "text/plain": [
       "      Patient Id  Age  Gender  Air Pollution  Alcohol use  Dust Allergy  \\\n",
       "index                                                                     \n",
       "0             P1   33       1              2            4             5   \n",
       "1            P10   17       1              3            1             5   \n",
       "2           P100   35       1              4            5             6   \n",
       "3          P1000   37       1              7            7             7   \n",
       "4           P101   46       1              6            8             7   \n",
       "\n",
       "       OccuPational Hazards  Genetic Risk  chronic Lung Disease  \\\n",
       "index                                                             \n",
       "0                         4             3                     2   \n",
       "1                         3             4                     2   \n",
       "2                         5             5                     4   \n",
       "3                         7             6                     7   \n",
       "4                         7             7                     6   \n",
       "\n",
       "       Balanced Diet  ...  Fatigue  Weight Loss  Shortness of Breath  \\\n",
       "index                 ...                                              \n",
       "0                  2  ...        3            4                    2   \n",
       "1                  2  ...        1            3                    7   \n",
       "2                  6  ...        8            7                    9   \n",
       "3                  7  ...        4            2                    3   \n",
       "4                  7  ...        3            2                    4   \n",
       "\n",
       "       Wheezing  Swallowing Difficulty  Clubbing of Finger Nails  \\\n",
       "index                                                              \n",
       "0             2                      3                         1   \n",
       "1             8                      6                         2   \n",
       "2             2                      1                         4   \n",
       "3             1                      4                         5   \n",
       "4             1                      4                         2   \n",
       "\n",
       "       Frequent Cold  Dry Cough  Snoring  Level  \n",
       "index                                            \n",
       "0                  2          3        4      1  \n",
       "1                  1          7        2      2  \n",
       "2                  6          7        2      3  \n",
       "3                  6          7        5      3  \n",
       "4                  4          2        3      3  \n",
       "\n",
       "[5 rows x 25 columns]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = dane.replace({'Level':{'High' : 3, 'Medium' : 2, 'Low' : 1}})\n",
    "data['Gender'] = data['Gender'].replace({'Man' : 1, 'Woman' : 2})\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "a47f580a",
   "metadata": {},
   "outputs": [],
   "source": [
    "np.random.seed(10)\n",
    "np.set_printoptions(precision=6, suppress=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "7caae544",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Y shape: (1000,)\n",
      "X shape: (1000, 23)\n"
     ]
    }
   ],
   "source": [
    "X = data.drop(['Level', 'Patient Id'], axis=1)\n",
    "y = data['Level']\n",
    "\n",
    "\n",
    "print(\"Y shape:\", y.shape)\n",
    "print(\"X shape:\", X.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "9139408a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "X_train, X_test, y_train, y_test = train_test_split (X, y)\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "2f45152a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "X_train shape: (750, 23)\n",
      "y_train shape: (750,)\n",
      "X_test shape: (250, 23)\n",
      "y_test shape: (250,)\n"
     ]
    }
   ],
   "source": [
    "print(\"X_train shape:\", X_train.shape)\n",
    "print(\"y_train shape:\", y_train.shape)\n",
    "print(\"X_test shape:\", X_test.shape)\n",
    "print(\"y_test shape:\", y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "8ba2674d",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\Users\\HP\\anaconda3\\lib\\site-packages\\sklearn\\linear_model\\_logistic.py:460: ConvergenceWarning:\n",
      "\n",
      "lbfgs failed to converge (status=1):\n",
      "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
      "\n",
      "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
      "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
      "Please also refer to the documentation for alternative solver options:\n",
      "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
      "\n"
     ]
    },
    {
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      ],
      "text/plain": [
       "LogisticRegression(max_iter=200)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "from sklearn.linear_model import LogisticRegression\n",
    "#classifier = LogisticRegression(multi_class='multinomial', solver='lbfgs')\n",
    "classifier = LogisticRegression(max_iter = 200)\n",
    "\n",
    "\n",
    "classifier.fit(X_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ba0a5bda",
   "metadata": {},
   "outputs": [
    {
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       "       [0.      , 0.03253 , 0.967469],\n",
       "       [0.00007 , 0.024082, 0.975848],\n",
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       "       [0.999947, 0.000021, 0.000032],\n",
       "       [0.004898, 0.993937, 0.001166]])"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_prob = classifier.predict_proba(X_test)\n",
    "y_prob"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "08f121e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2, 3, 3, 1, 3, 2, 3, 2, 3, 2, 3, 2, 2, 1, 1, 2, 3, 1, 3, 1, 3, 1,\n",
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       "       3, 3, 1, 3, 3, 2, 2, 2, 2, 3, 2, 3, 3, 3, 1, 3, 3, 1, 3, 1, 3, 1,\n",
       "       2, 3, 3, 2, 1, 1, 1, 2, 2, 2, 2, 2, 3, 1, 3, 1, 3, 2, 3, 3, 3, 2,\n",
       "       1, 3, 2, 2, 1, 1, 2, 2, 2, 2, 2, 1, 3, 2, 1, 3, 1, 1, 1, 2, 3, 3,\n",
       "       1, 3, 2, 1, 1, 3, 2, 2, 1, 1, 3, 3, 3, 2, 1, 3, 3, 1, 1, 2, 2, 3,\n",
       "       1, 3, 1, 1, 1, 3, 1, 3, 2, 1, 2, 2, 1, 1, 2, 3, 1, 1, 3, 1, 2, 2,\n",
       "       2, 3, 1, 3, 3, 1, 1, 2, 1, 2, 1, 3, 2, 1, 2, 1, 3, 2, 3, 1, 3, 2,\n",
       "       2, 2, 2, 2, 2, 1, 1, 2, 2, 3, 3, 3, 3, 2, 2, 1, 1, 3, 3, 1, 2, 2,\n",
       "       1, 2, 2, 2, 3, 2, 3, 3, 1, 2, 2, 2, 3, 1, 3, 3, 1, 1, 2, 3, 1, 1,\n",
       "       1, 2, 1, 3, 2, 2, 2, 1, 3, 2, 3, 1, 2, 2, 3, 2, 3, 1, 1, 3, 1, 2,\n",
       "       3, 2, 3, 3, 3, 3, 1, 2], dtype=int64)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_pred = classifier.predict(X_test)\n",
    "y_pred"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "322588b1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: mlxtend in c:\\users\\hp\\anaconda3\\lib\\site-packages (0.23.0)\n",
      "Requirement already satisfied: scipy>=1.2.1 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from mlxtend) (1.11.4)\n",
      "Requirement already satisfied: numpy>=1.16.2 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from mlxtend) (1.26.0)\n",
      "Requirement already satisfied: pandas>=0.24.2 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from mlxtend) (2.1.1)\n",
      "Requirement already satisfied: scikit-learn>=1.0.2 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from mlxtend) (1.3.2)\n",
      "Requirement already satisfied: matplotlib>=3.0.0 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from mlxtend) (3.8.0)\n",
      "Requirement already satisfied: joblib>=0.13.2 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from mlxtend) (1.3.2)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from matplotlib>=3.0.0->mlxtend) (1.2.0)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from matplotlib>=3.0.0->mlxtend) (0.12.1)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from matplotlib>=3.0.0->mlxtend) (4.25.0)\n",
      "Requirement already satisfied: kiwisolver>=1.0.1 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from matplotlib>=3.0.0->mlxtend) (1.4.4)\n",
      "Requirement already satisfied: packaging>=20.0 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from matplotlib>=3.0.0->mlxtend) (23.1)\n",
      "Requirement already satisfied: pillow>=6.2.0 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from matplotlib>=3.0.0->mlxtend) (10.0.1)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from matplotlib>=3.0.0->mlxtend) (3.0.9)\n",
      "Requirement already satisfied: python-dateutil>=2.7 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from matplotlib>=3.0.0->mlxtend) (2.8.2)\n",
      "Requirement already satisfied: pytz>=2020.1 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from pandas>=0.24.2->mlxtend) (2023.3.post1)\n",
      "Requirement already satisfied: tzdata>=2022.1 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from pandas>=0.24.2->mlxtend) (2023.3)\n",
      "Requirement already satisfied: threadpoolctl>=2.0.0 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from scikit-learn>=1.0.2->mlxtend) (3.2.0)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\hp\\anaconda3\\lib\\site-packages (from python-dateutil>=2.7->matplotlib>=3.0.0->mlxtend) (1.16.0)\n",
      "Note: you may need to restart the kernel to use updated packages.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "\n",
      "[notice] A new release of pip is available: 23.3.2 -> 24.0\n",
      "[notice] To update, run: python.exe -m pip install --upgrade pip\n"
     ]
    }
   ],
   "source": [
    "pip install mlxtend"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "c876fff8",
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "from sklearn.metrics import accuracy_score\n",
    "\n",
    "from mlxtend.plotting import plot_confusion_matrix\n",
    "import seaborn as sns\n",
    "sns.set()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "cbb6c719",
   "metadata": {},
   "outputs": [],
   "source": [
    "#cm = confusion_matrix(y_test, y_pred)\n",
    "#plot_confusion_matrix(cm)\n",
    "\n",
    "#acc = accuracy_score(y_test, y_pred)\n",
    "#print('Accuracy',':', acc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "e3c2afe8",
   "metadata": {},
   "outputs": [
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        "title": {
         "text": "Confusion Matrix - Accuracy: 1.0000"
        },
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        "xaxis": {
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   "source": [
    "acc = accuracy_score(y_test, y_pred)\n",
    "cm = confusion_matrix(y_test, y_pred)\n",
    "def plot_confusion_matrix(cm):\n",
    "    cm = cm[::-1]\n",
    "    cm = pd.DataFrame(cm, columns=['pred_1', 'pred_2', 'pred_3'], index=['true_3', 'true_2', 'true_1'])\n",
    "    fig = ff.create_annotated_heatmap(z = cm.values, x = list(cm.columns), y = list(cm.index), colorscale = 'ice', showscale = True, reversescale = True)\n",
    "    fig.update_layout(width=500, height=500, title=f'Confusion Matrix - Accuracy: {acc:.4f}'. format(acc), font_size=16)\n",
    "    fig.show()\n",
    "\n",
    "plot_confusion_matrix(cm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "a1ffeb65",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "              precision    recall  f1-score   support\n",
      "\n",
      "      pred_1       1.00      1.00      1.00        76\n",
      "      pred_2       1.00      1.00      1.00        89\n",
      "      pred_3       1.00      1.00      1.00        85\n",
      "\n",
      "    accuracy                           1.00       250\n",
      "   macro avg       1.00      1.00      1.00       250\n",
      "weighted avg       1.00      1.00      1.00       250\n",
      "\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import classification_report\n",
    "print(classification_report(y_test, y_pred, target_names=['pred_1', 'pred_2', 'pred_3']))"
   ]
  }
 ],
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