Predico.ipynb

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        "<a href=\"https://colab.research.google.com/github/parul5sahoo/PrediCo/blob/master/Predico.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import statsmodels.api as sm\n",
        "import scipy.stats as st\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sn\n",
        "from sklearn.metrics import confusion_matrix\n",
        "import matplotlib.mlab as mlab\n",
        "%matplotlib inline"
      ],
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        "id": "FFvEy7XiZoxh"
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      "execution_count": null,
      "outputs": []
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      "source": [
        "heart_df=pd.read_csv('/content/framingham_heart_disease.csv')\n",
        "heart_df.drop(['education'],axis=1,inplace=True)\n",
        "heart_df.head()\n"
      ],
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              "   male  age  currentSmoker  cigsPerDay  BPMeds  prevalentStroke  \\\n",
              "0     1   39              0         0.0     0.0                0   \n",
              "1     0   46              0         0.0     0.0                0   \n",
              "2     1   48              1        20.0     0.0                0   \n",
              "3     0   61              1        30.0     0.0                0   \n",
              "4     0   46              1        23.0     0.0                0   \n",
              "\n",
              "   prevalentHyp  diabetes  totChol  sysBP  diaBP    BMI  heartRate  glucose  \\\n",
              "0             0         0    195.0  106.0   70.0  26.97       80.0     77.0   \n",
              "1             0         0    250.0  121.0   81.0  28.73       95.0     76.0   \n",
              "2             0         0    245.0  127.5   80.0  25.34       75.0     70.0   \n",
              "3             1         0    225.0  150.0   95.0  28.58       65.0    103.0   \n",
              "4             0         0    285.0  130.0   84.0  23.10       85.0     85.0   \n",
              "\n",
              "   TenYearCHD  \n",
              "0           0  \n",
              "1           0  \n",
              "2           0  \n",
              "3           1  \n",
              "4           0  "
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              "      <th>2</th>\n",
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              "      <td>28.58</td>\n",
              "      <td>65.0</td>\n",
              "      <td>103.0</td>\n",
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      "source": [
        "\n",
        "heart_df.rename(columns={'male':'sex'},inplace=True)\n",
        "heart_df.isnull().sum()\n",
        "heart_df.describe()\n",
        "\n"
      ],
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          "data": {
            "text/plain": [
              "               sex          age  currentSmoker   cigsPerDay       BPMeds  \\\n",
              "count  4238.000000  4238.000000    4238.000000  4209.000000  4185.000000   \n",
              "mean      0.429212    49.584946       0.494101     9.003089     0.029630   \n",
              "std       0.495022     8.572160       0.500024    11.920094     0.169584   \n",
              "min       0.000000    32.000000       0.000000     0.000000     0.000000   \n",
              "25%       0.000000    42.000000       0.000000     0.000000     0.000000   \n",
              "50%       0.000000    49.000000       0.000000     0.000000     0.000000   \n",
              "75%       1.000000    56.000000       1.000000    20.000000     0.000000   \n",
              "max       1.000000    70.000000       1.000000    70.000000     1.000000   \n",
              "\n",
              "       prevalentStroke  prevalentHyp     diabetes      totChol        sysBP  \\\n",
              "count      4238.000000   4238.000000  4238.000000  4188.000000  4238.000000   \n",
              "mean          0.005899      0.310524     0.025720   236.721585   132.352407   \n",
              "std           0.076587      0.462763     0.158316    44.590334    22.038097   \n",
              "min           0.000000      0.000000     0.000000   107.000000    83.500000   \n",
              "25%           0.000000      0.000000     0.000000   206.000000   117.000000   \n",
              "50%           0.000000      0.000000     0.000000   234.000000   128.000000   \n",
              "75%           0.000000      1.000000     0.000000   263.000000   144.000000   \n",
              "max           1.000000      1.000000     1.000000   696.000000   295.000000   \n",
              "\n",
              "             diaBP          BMI    heartRate      glucose   TenYearCHD  \n",
              "count  4238.000000  4219.000000  4237.000000  3850.000000  4238.000000  \n",
              "mean     82.893464    25.802008    75.878924    81.966753     0.151958  \n",
              "std      11.910850     4.080111    12.026596    23.959998     0.359023  \n",
              "min      48.000000    15.540000    44.000000    40.000000     0.000000  \n",
              "25%      75.000000    23.070000    68.000000    71.000000     0.000000  \n",
              "50%      82.000000    25.400000    75.000000    78.000000     0.000000  \n",
              "75%      89.875000    28.040000    83.000000    87.000000     0.000000  \n",
              "max     142.500000    56.800000   143.000000   394.000000     1.000000  "
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              "      <th></th>\n",
              "      <th>sex</th>\n",
              "      <th>age</th>\n",
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              "      <th>BPMeds</th>\n",
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              "      <th>count</th>\n",
              "      <td>4238.000000</td>\n",
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              "      <td>4219.000000</td>\n",
              "      <td>4237.000000</td>\n",
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              "      <th>mean</th>\n",
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              "      <td>49.584946</td>\n",
              "      <td>0.494101</td>\n",
              "      <td>9.003089</td>\n",
              "      <td>0.029630</td>\n",
              "      <td>0.005899</td>\n",
              "      <td>0.310524</td>\n",
              "      <td>0.025720</td>\n",
              "      <td>236.721585</td>\n",
              "      <td>132.352407</td>\n",
              "      <td>82.893464</td>\n",
              "      <td>25.802008</td>\n",
              "      <td>75.878924</td>\n",
              "      <td>81.966753</td>\n",
              "      <td>0.151958</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.495022</td>\n",
              "      <td>8.572160</td>\n",
              "      <td>0.500024</td>\n",
              "      <td>11.920094</td>\n",
              "      <td>0.169584</td>\n",
              "      <td>0.076587</td>\n",
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              "      <td>44.590334</td>\n",
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              "      <td>11.910850</td>\n",
              "      <td>4.080111</td>\n",
              "      <td>12.026596</td>\n",
              "      <td>23.959998</td>\n",
              "      <td>0.359023</td>\n",
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              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>107.000000</td>\n",
              "      <td>83.500000</td>\n",
              "      <td>48.000000</td>\n",
              "      <td>15.540000</td>\n",
              "      <td>44.000000</td>\n",
              "      <td>40.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>42.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>206.000000</td>\n",
              "      <td>117.000000</td>\n",
              "      <td>75.000000</td>\n",
              "      <td>23.070000</td>\n",
              "      <td>68.000000</td>\n",
              "      <td>71.000000</td>\n",
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              "      <th>50%</th>\n",
              "      <td>0.000000</td>\n",
              "      <td>49.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>234.000000</td>\n",
              "      <td>128.000000</td>\n",
              "      <td>82.000000</td>\n",
              "      <td>25.400000</td>\n",
              "      <td>75.000000</td>\n",
              "      <td>78.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "    <tr>\n",
              "      <th>75%</th>\n",
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              "      <td>56.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>20.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>144.000000</td>\n",
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              "      <td>87.000000</td>\n",
              "      <td>0.000000</td>\n",
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              "      <td>1.000000</td>\n",
              "      <td>70.000000</td>\n",
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              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>696.000000</td>\n",
              "      <td>295.000000</td>\n",
              "      <td>142.500000</td>\n",
              "      <td>56.800000</td>\n",
              "      <td>143.000000</td>\n",
              "      <td>394.000000</td>\n",
              "      <td>1.000000</td>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-eddd9ed4-7a1b-43e5-ac38-1c7f98fadf25')\"\n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-eddd9ed4-7a1b-43e5-ac38-1c7f98fadf25');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          element.appendChild(docLink);\n",
              "        }\n",
              "      </script>\n",
              "    </div>\n",
              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "heart_df.dropna(axis=0,inplace=True)\n",
        "heart_df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 250
        },
        "id": "A3LLNOsQoBNQ",
        "outputId": "5a1dff2d-72a3-48af-98af-d8820dfd08ba"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   sex  age  currentSmoker  cigsPerDay  BPMeds  prevalentStroke  prevalentHyp  \\\n",
              "0    1   39              0         0.0     0.0                0             0   \n",
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              "3    0   61              1        30.0     0.0                0             1   \n",
              "4    0   46              1        23.0     0.0                0             0   \n",
              "\n",
              "   diabetes  totChol  sysBP  diaBP    BMI  heartRate  glucose  TenYearCHD  \n",
              "0         0    195.0  106.0   70.0  26.97       80.0     77.0           0  \n",
              "1         0    250.0  121.0   81.0  28.73       95.0     76.0           0  \n",
              "2         0    245.0  127.5   80.0  25.34       75.0     70.0           0  \n",
              "3         0    225.0  150.0   95.0  28.58       65.0    103.0           1  \n",
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              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-b311f8d1-7074-4f5a-beed-4c74147f5332');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
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              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "  "
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          },
          "metadata": {},
          "execution_count": 4
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def draw_histograms(dataframe, features, rows, cols):\n",
        "    fig=plt.figure(figsize=(20,20))\n",
        "    for i, feature in enumerate(features):\n",
        "        ax=fig.add_subplot(rows,cols,i+1)\n",
        "        dataframe[feature].hist(bins=20,ax=ax,facecolor='midnightblue')\n",
        "        ax.set_title(feature+\" Distribution\",color='DarkRed')\n",
        "        \n",
        "    fig.tight_layout()  \n",
        "    plt.show()\n",
        "draw_histograms(heart_df,heart_df.columns,6,3)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "5FmUf3IkojAk",
        "outputId": "d401ceaa-da61-4290-c863-11dc1bdecf21"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x1440 with 15 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "heart_df.TenYearCHD.value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "96j5laLStz0W",
        "outputId": "58160702-23bf-4750-d2d3-517e4685c01b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0    3177\n",
              "1     572\n",
              "Name: TenYearCHD, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sn.countplot(x='TenYearCHD',data=heart_df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 296
        },
        "id": "y4ZOFVhmt5vg",
        "outputId": "f59d74da-2e4a-4102-d7a3-98b508530d68"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f027bf33fd0>"
            ]
          },
          "metadata": {},
          "execution_count": 7
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "o9YbAEw4N9yx"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Normalization here"
      ],
      "metadata": {
        "id": "MqeuP56EN-w1"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "X15WfWtBN-6H"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(20,20))\n",
        "sn.heatmap(heart_df.corr(),annot=True,cmap='RdYlGn')"
      ],
      "metadata": {
        "id": "W-57QNe2vEV1",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "99c115dd-3177-47c7-c4d8-cd17da3c614e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f0276f4cdd0>"
            ]
          },
          "metadata": {},
          "execution_count": 9
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1440x1440 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Distribution of heart diseases\n",
        "plt.figure(figsize=(10,10))\n",
        "plt.title(\"Distribution of Heart Disease\")\n",
        "heart_df[\"TenYearCHD\"].value_counts().plot(kind=\"pie\",autopct='%1.2f%%')"
      ],
      "metadata": {
        "id": "CSQGtAwmw9Qm",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 608
        },
        "outputId": "e91dc995-9afd-41ad-bc48-163a09de4bdf"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f0276ceecd0>"
            ]
          },
          "metadata": {},
          "execution_count": 10
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The pie chart shows that 15.26% of the population is suffering from heart diseases, whereas 84.74% of the population is healthy."
      ],
      "metadata": {
        "id": "Cm2a3n6n6nP5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Population distribution\n",
        "plt.figure(figsize=(10,10))\n",
        "plt.title(\"Population Distribution(0 for female, 1 for male)\")\n",
        "heart_df[\"sex\"].value_counts().plot(kind=\"pie\",autopct='%1.2f%%')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 608
        },
        "id": "5qXX3Zk45urH",
        "outputId": "5ea447eb-6860-44b3-be0e-f6b19ddc2529"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f02788533d0>"
            ]
          },
          "metadata": {},
          "execution_count": 11
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "This dataset comprises of 44.52% of male population and 55.48% females. There is not much significant difference over the distribution of population."
      ],
      "metadata": {
        "id": "FVue8WnR65T4"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Currently Smokers distribution\n",
        "plt.figure(figsize=(10,10))\n",
        "plt.title(\"Smoker Distribution\")\n",
        "heart_df[\"currentSmoker\"].value_counts().plot(kind=\"pie\",autopct='%1.2f%%')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 608
        },
        "id": "tsCrgp8iyOap",
        "outputId": "aaac714f-3139-459c-cf3b-745edfed9a8e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f0278db3ad0>"
            ]
          },
          "metadata": {},
          "execution_count": 12
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The pie chart shows that 51.16% of the population are smokers and 48.84% are non smokers. There is no significant difference between smokers and non smokers."
      ],
      "metadata": {
        "id": "cvgSNl277MTd"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Diabetes distribution\n",
        "plt.figure(figsize=(10,10))\n",
        "plt.title(\"Diabetes Distribution\")\n",
        "heart_df[\"diabetes\"].value_counts().plot(kind=\"pie\",autopct='%1.2f%%')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 608
        },
        "id": "Yqw8Rq3nzMfM",
        "outputId": "a7eddb0d-096e-46f7-9d3e-70312aebb778"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f02788be8d0>"
            ]
          },
          "metadata": {},
          "execution_count": 13
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The pie chart shows that only 2.72% of the population in the dataset is diabetic, whereas 97.28% population is healthy. This imbalance in the distribution can affect the machine learning algorithms negatively."
      ],
      "metadata": {
        "id": "Q22LN8zK7hIr"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#BP Meds distribution\n",
        "plt.figure(figsize=(10,10))\n",
        "plt.title(\"BP Medicine\")\n",
        "heart_df[\"BPMeds\"].value_counts().plot(kind=\"pie\",autopct='%1.2f%%')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 608
        },
        "id": "5xS-FtAHzQJx",
        "outputId": "f3d554cc-d796-4638-b039-13b14ee524b7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f0278e0cb50>"
            ]
          },
          "metadata": {},
          "execution_count": 14
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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esbNIUkUtBU51H63e5jk7fSpp5rsC38aiI0nbsieta/B40cEeZtnpQ+3rSHwTt4GQpJE4jNY1eCbFDqLRsez0p/8AzogdQpJ6yDzg87FDaHQsO30maeZ/Abwmdg5J6kGvaX+Gqsd4gnIfSZr5POAHwITYWSSpRw0Czyuy9OrYQTRylp0+kTTzfYFfAbNjZ5GkHrcEOL7I0gdiB9HIOI3VB9on1X0di44kjYfZwDeSZj4xdhCNjGWnP3wUODV2CEmqkVOBf4sdQiPjNFbNJc389cAXY+eQpJp6XZGlX4kdQttm2amxpJk/C/gZbgUhSZ2yBphbZOmvYwfR1ll2aqp9tc8bgCRyFEmqu7uBZxdZuix2EG2Z5+zU1+ew6EhSN8wBPhs7hLbOslNDSTP/Q+C82DkkqY+cnzTzN8YOoS1zGqtmkmZ+CHAjMCN2FknqMyuBZxZZ+pvYQfR0juzUSNLMJwD/hUVHkmKYAfx3+7NYFWLZqZf3ASfFDiFJfewk4ILYIfR0TmPVRNLMzwCuwgIrSbENA2cVWfqT2EHUYtmpgaSZzwTmAwfEziJJAuAe4LgiS5fHDiJHAeriM1h0JKlKDqT12awKsOz0uKSZvxx4RewckqTf8sr2Z7QicxqrhyXNfFfgVmDP2FkkSVu0FDiiyNLHYgfpZ47s9LZ/waIjSVW2J63PakXkyE6PSpr5C4Dvxs4hSRqRFxRZ+v3YIfqVZacHJc18GnAzrf1YJEnVdzdwdJGlq2MH6UdOY/Wm92PRkaReMofWZ7cicGSnxyTN/ETgWmAgdhZJ0g4ZAk4psvSXsYP0G8tOD0ma+UTgV8AxsbNIkkZlPnBCkaWDsYP0E6exesvfYNGRpF52HK3PcnWRIzs9Imnm+wO3A1NjZ5Ekjclq4PAiS++LHaRfOLLTOz6MRUeS6mAa8M+xQ/QTR3Z6QNLMTwfcPVeS6uWMIkuviR2iH1h2Ki5p5g3gF8DxsbNIksbVDcCJRZYOxw5Sd05jVd8fYtGRpDo6Hnhj7BD9wJGdCkua+c7Anbj/lSTV1RLgGUWWrogdpM4c2am292LRkaQ6mw28J3aIunNkp6KSZv4MWvtfTYydRZLUUeuBo4osvSt2kLpyZKe6/gWLjiT1g0m0PvPVIY7sVFDSzM8Aro6dQ5LUVacVWfqz2CHqyJGdavpg7ACSpK77QOwAdWXZqZikmb8YOD12DklS1z0naebPjR2ijiw7FZI08wD8Y+wckqRoHN3pAMtOtZwHPDN2CElSNKcmzTyNHaJuPEG5ItrbQtwEHBk7iyQpqhuAE4os9QA9ThzZqY5XYNGRJLW2kTg3dog6cWSnApJmPgAsBA6LnUWSVAkLgWPdJHR8OLJTDa/CoiNJespRtI4NGgeO7ETWXoG1EDgidhZJUqXcAhztuTtj58hOfCkWHUnSbzsSeHHsEHVg2YnvXbEDSJIqy2PEOHAaK6KkmZ8EXB87hySp0k4qsvQXsUP0Mkd24rKxS5K2x2PFGDmyE0nSzA8G7sDCKUnatiHgGUWWLoodpFd5oI3nnfjfX5K0fQO0jhkaJUd2Ikia+e7AvcDU2FkkST1hNXBAkaWPxg7SixxZiOPPsOhIkkZuGvCnsUP0Kkd2uixp5pOA+4A9Y2eRJPWUpcD+RZaujx2k1ziy033nYtGRJO24PYHzYofoRZad7ntL7ACSpJ71J7ED9CKnsbooaebPAG6PnUOS1NOOKbL05tgheokjO931x7EDSJJ63ltjB+g1jux0SdLMJwOLgd1iZ5Ek9bQVwN5Flq6OHaRXOLLTPedi0ZEkjd3OwMtjh+gllp3u8cRkSdJ4eXPsAL3EaawuSJr5YcBtsXNIkmrlyCJLb40dohc4stMdfxQ7gCSpdhzdGSFHdjosaeYDwAN4IUFJ0vhaAuxbZOlQ7CBV58hO5z0Xi44kafzNBp4TO0QvsOx03itjB5Ak1ZbHmBFwGquD2pt+LgFmxs4iSaqlZcBebg66bY7sdNbZWHQkSZ0zC3hh7BBVZ9npLIcXJUmd9qrYAarOaawOSZr5dGApMC12FklSra0C9nT7iK1zZKdzfheLjiSp86bTOuZoKyw7neOwoiSpWzzmbIPTWB2QNPOZtFZhTYqdRZLUF9YBs4ssXR47SBU5stMZL8KiI0nqnsm0jj3aAstOZ6SxA0iS+s5LYgeoKqexxlnSzBu0VmHtFjuLJKmvPEJrKms4dpCqcWRn/J2CRUeS1H27AyfHDlFFlp3x5xSWJCkWj0FbYNkZf77RJEmxeAzaAs/ZGUdJM98PuC92DklSX9uvyNLFsUNUiSM748tGLUmKzWPRZiw748s3mCQpNo9Fm3Eaa5wkzXwy8BjuhyVJimsVsFuRpetiB6kKR3bGz8lYdCRJ8U0HToodokosO+NnXuwAkiS1eUzahGVn/PjGkiRVxZmxA1SJ5+yMg6SZTwCWATNiZ5EkCVgJzCqydDB2kCpwZGd8PBuLjiSpOmYAx8cOURWWnfHhFJYkqWo8NrVZdsaHbyhJUtV4bGrznJ0xSpp5A3gUmBk7iyRJm1hG63o7fX+gd2Rn7I7BoiNJqp5ZtI5Rfc+yM3YOE0qSquqM2AGqwLIzdifEDiBJ0lacGDtAFVh2xs6lfZKkqvIYhScoj0nSzKcATwATYmeRJGkLBoGdiixdGztITI7sjM2xWHQkSdU1ATg6dojYLDtj86zYASRJ2o6+n8qy7IxN37+BJEmV1/e/mFt2xqbv30CSpMrr+1/MPUF5lNo7nT8BTImdRZKkbVhD6yTlodhBYnFkZ/SOwKIjSaq+qcDhsUPEZNkZPaewJEm9oq+nsiw7o3dE7ACSJI3QkbEDxGTZGb1DYweQJGmE+vqYZdkZvb5+40iSekpfH7MsO6OQNPMAHBI7hyRJI3Rw7AAxWXZGZx9gWuwQkiSN0PSkme8TO0Qslp3R6evhQElST+rbY5dlZ3T69g0jSepZfXvssuyMTt++YSRJPatvj109UXZCCC8KIdweQrgrhNDcwuOTQwgXtx+/PoSQdDhS375hJEk9q2+PXZUvOyGEAeCTwNm0Lor0qhDC5hdHehOwrCzLQ4B/Az7U4Vh9+4aRJPWsvj12Vb7sACcBd5Vluagsy/XARcDLNvuZlwFfan/9DeB5IYTQwUxJB19bkqROSGIHiKUXys6+wH2bfH9/+74t/kxZloPAcmC3ToRJmvkuwPROvLYkSR00I2nmM2KHiKEXyk7VbF60JEnqFXvFDhBDL5SdxcD+m3y/X/u+Lf5MCGECsAvwaIfyWHYkSb1q79gBYuiFsvML4NAQwpwQwiTglcBlm/3MZcDr21+fB/ywLMuyQ3n69gqUkqSe15cjOxNiB9iesiwHQwhvA74DDAD/WZblwhDCPwC/LMvyMuDzwFdCCHcBj9EqRJ3Sl61YklQLfXkMq3zZASjL8tvAtze7772bfL0WOL9LcWZ36e+RJGm89eXITi9MY1WNZUeS1Kv6cmTHsrPj9owdQJKkUerLkZ0RTWOFEM4HrizL8okQwnuA44EPlGV5Q0fTVZNlZwtW/PJbrJz/HShhxnEvZOcTW9d9XPGry3nihpwQGkw9+ARmPecPR/zcrT1/7f238Nh3P0UYmMDuv/suJu66L8NrV/Lwtz7Eni9/HyHY4SVpK/pyZGek5+z8XVmWXw8hnA48H/gw8Gng5I4lq649YgeomvUPF6yc/x32et2/EgYmsvRr72XqIScytOIR1tx5Hfu88ROECRMZWvX4iJ87cdY+rL1nwRafv+IXl7LneRcwuGIJT/z6CnZ97ptZ/rOL2eXU8y06krRtffkL+0iPDEPtP1Pgc2VZ5sCkzkSqvJ1iB6iaDY/ez6S9D6MxcQqhMcDk/Y9m9R0/44kbv83Op5xPmDARgIHpM0f8XGCrzw+NCZSD6yg3rCM0JrBh2YMMPvEIUw44tkv/YknqWTvHDhDDSMvO4hDCZ4FXAN8OIUzegefWRtLMG8C02DmqZtLuB7Lu/oUMrVnB8Ia1rFn0S4ZWPMKGZYtZd99CHvzyO3nov5use/COET8X2OrzdznlfB75339l+XVfZ6fjX8LjV3+ZmWe8pqv/ZknqUdOSZt7JvSMraaTTWC8HXgR8pCzLx0MIewPv6lysypoO9N2bZHsm7r4/O598Hksv/jvCxClM2vMgCA0YHmJ47RPs9dp/Yf2Dd/Dwtz7Evm/5Dzbdo3Wrz4WtPn/S7IPY+3X/AsDa+25mYMauADz8rQ8RGgPMeu6bGJg+q+v/HSSpBwRax7KVsYN00zbLTghh102+vWqT+9YBv+xcrMrqyw3URmKn436HnY77HQCW/fhLTNhpdzY8dj/TnjGXEAKT9zmMEALDa1YwMG2X7T4XYGCn3bf5/LIsWf6zi9n9pX/DY9//DLPOeiODy5ew4leXM2ve67r4r5eknrITfVZ2tjcV9StapeZXwMPAHcCd7a9/1dloleT5Olvx5MnDgyuWsvqOa5l+5JlMO/QU1t67AIANjy2mHBqkMfW3p4u39Fxgu89fdfMPmXrQCQxM3YlywzoIAUJofS1J2pq++8V9myM7ZVnOAQgh/D/g0vaVjAkhnA2c0/l4ldN3b5CRevibH2R4zRPQGGDXF7yVxpQZzDj2BTz67Y/xwOf/lDAwkd3SvySEwOATj/LolR9n9vnv2+pzga0+H2B4w1pW3vx9Zr/8/QDsfOI5LP36BRuXo0uStqrvjmVhJPtlhhBuKsvymO3dV3dJM58H/Dh2DkmSxmBekaU/iR2im0Z6gvID7YsJfrX9/auBBzoTqdL6rg1Lkmqn745lI10+/ipaF9O7FLik/fWrOhWqwjxnR5LU6/qu7IxoZKcsy8eAd4QQppdluarDmapseuwAkiSNUd+VnRGN7IQQ5oYQbgFubX9/XAjhUx1NVk0jnfaTJKmq+m4HhJFOY/0b8ELgUYCyLOcD8zoVSpIkdUzf7YAw4n9wWZb3bXbX0BZ/UJIkVVnflZ2RTsvcF0KYC5QhhInAO2hPaUmSpJ7Sd2VnpP/gtwJ/BuwLLAae2f5ekiT1lr4rOyNdjfUIrWvrSFJHzeaxpXMbC++dN7Bg5fHhzin7hEf3nRiG9o+dS6qX5bEDdNX2NgL9+LYeL8vy7eMbR1K/W8Kue146fMaelw6fsfG+XVj5+MmNW+8+szF/xYmN2yccGJbuNYkNc0Lov99QpXEwHDtAt21vZOetwM3A12hdMTl0PJEkbWY5M2Z+d/jEZ313+MSN901l3epnN+5YNK8x/7FTG7c2DgoP7DaNdQeH0H/LaqUdZNnZzN7A+cArgEHgYuAbZVk+3ulgkrQta5g87ZrhY46+ZvipLfomMLjhmHD37WcOzH94bmPh0GHhvl13ZvVBIXhBUGkTlp1NlWX5KPAZ4DMhhP2AVwK3hBD+T1mWX+lGQEkaqUEmTLyxPPSwGwcPPeyjnAdAYHj4sHD/3Wc0bnrw9MZNG45qFDvvyoo5jcDMyHGlWCw7WxJCOJ7WXlgvAK4AftXJUBW2IXYASTumpNG4rTxgzm1DB8z5f0PpxvsPDA8tPq1x833zGgvWHddYNG1Plh0wEMrZEaNK3bI+doBu294Jyv8ApLSuqXMR8H/LshzsRrCK6ud9waRauafca997hvba97+Hnr/xvj1Z9vDcxsJ75g0sWPnscMeUfcKj+0wMQwdEjCl1wsrYAbotlGW59QdDGAbuBla373ryhwNQlmV5bGfjVUvSzF8M5LFzSOqenVm5/OTGbXef2Zi/vLUSbMlek9mQhMBA7GxVt3awZN4XVrFuCAaH4bwjJvC+50x52s+sGyx53TfX8KsHhthtWuDi86aRzHxqkd29y4c58pMrueCsyfz13Mk8vGqY37t4DY+vLfnAcydzzuETAXjZRav5dDqFfXZygd4IvJgLll8RO0Q3bW8aa05XUvSOvmvDUr9bwYxdvjd8wjO/N3zCxvumsG7Nsxt3LprXmP/oqY1bwsHhwd2nsfagEJgcMWrlTB6AH75+OjMmBTYMlZz+hVWcfeggp+z31KHn8zduYNaUwF1v34mLbt7A//n+Wi4+b9rGx9/5nbWcfehTP3/hzRt46wkTOfeIibz4v1ZzzuETufz2DTxrr4ZFZ9u9URwAABuiSURBVOT67li2vROU7wkhnAMcAtxUluV3uhOrsp6IHUBSfGuZPPWnw0cf9dPhozfeN4HBDUeH4vZ5jfkPnzawcOjwcN+uO7NqTgjMiBg1qhACM9oXAtgwDBuGfvv6Jd+6fQMXnNnqiOcdOYG3fXstZVkSQuCbt21gzswG0ze5mMDERmD1Blg3CAMNGBwu+ej167n8VdPQiFl2NhVC+BRwFPAz4P0hhJPKsnx/V5JVU9+9QSSNzCATJv66POSwXw8dctjHh34faK0Ee0a4/+7TGzc/eEZjwYajWyvBkkZgVuS4XTM0XPLsz63irseG+bMTJ3Hyfk8/7CxeUbL/Lq0RmQmNwC5T4NE1JVMmwId+up7vvXYaH/nZuo0//wfHTOQPLlnD5361ng89fwqf+sV6XnvsRKZN9DJwO6DvfnHf3jTWPOC4siyHQgjTgJ8Alh1JGoGSRuP28oA5tw8dMOfzQy/eeP8BYcni0xo33z+vsWDtcY3fTJ3N4wcMhOG9IkbtmIFG4NdvncHja0t+7+LV3Lx0iKP33P7pThdctY6/PGUSMyY9vcTsMiWQ/0FrFGfZmpLsp+u49BXT+KPL1rBsbclfnTqJU/cf6R7XfavvjmXbe0esL8tyCKAsy9UhhH6vzn33BpE0/u4tZ+9779DsfS8cet7G+3bn8YfnNhbee+bAgieeHe6Ysm94ZO8JDB0QQj2uXD9zSuA5yQSuvGvwaWVn350D9y0fZr+dGwwOlyxfC7tNDVy/eIhv3LKBv/neWh5fW9IIMGVC4G0nPTWn9f6r1/HuMyZz4U0bOP2AAc47ciLnfm0133mNZWc7+u5Ytr13xOEhhAXtrwNwcPv7vlyNRWvpeYnbZkgaZ48wc4/Lhk/b47Lh0zbetxOrlp/UuO3usxrzl5/UuG3CgWHJ7MmtPcF6YiXYw6uGmTgQmDklsGZDyfcWDfJ/Tnv6bh4vfcZEvjR/A6fuP4Fv3DLIc+cMEELgJ2986qLXF1y1lhmTnl507nx0iPtXDHNWMoH5D61jyoRACLDGq6FtT0kfXkZle0vPD9zWk8uyvGfcE1Vc0sxXAZ4JJymKKaxb86zGXYvO3LgS7IHdprP24CquBFuwZIjXf3MNQ8MwXMLLj5rIe8+czHt/tJYT9hngpYdNZO1gyWsvXcONDw6x69TARedN46BZT19V9WTZ+eu5T/0TX/711fzjcydz6G4DLF01zDkXrWH5upJ/OGsyv3/kxG7/U3vJSi5YvlPsEN22zbKzxSeEsDvwaLmjT6yJpJk/QGvPMEmqhAGGBo8Ody+a11jw8GkDCwcPD/fO2oVVB/XzSjBt1YNcsHyf2CG6bXursU4BMuAxWicmfwXYHWiEEF5XluWVnY9YOUux7EiqkCEGJswvD3nG/KFDnvGJoXPb95blM8L9RXtPsHVHN4qdd2NF0gjlrlHDKraHYweIYXvn7Pw78LfALsAPgbPLsrwuhHA4cCHQj2XnQeC42CEkadtCuKPcP7ljaP9k05Vg+4elD7T3BFt7XOM3U/diWW1XgmmLlsYOEMP2ys6Esiy/C619ssqyvA6gLMvb+nhh1kOxA0jSaN1X7rnPRUPP3eeioeduvG83lj8yt7HwnvZKsMn7hof3mVijlWB6mo6VnRDCfwIvAZaWZXn0Fh4PwMeAF9PahuoNZVne0Kk8m9pe2dl0G/g1mz3Wl+fsYNmRVDOPssvulw/P3f3y4bkb75vB6hUntfcEO7lxW+PA8NDsKWw4qFdWgmmrlnTwtb9Ia0boy1t5/Gzg0PbtZODT7T87bntl57gQwgpaS62ntr+m/f2UrT+t1iw7kmpvJdN2/uHw8cf9cPj4jfdNZv3aZzXuvP3MxoJHTm3cEg4Ji3eb3toTrF+PB72oYyM7ZVleHUJItvEjLwO+3F7gdF0IYWYIYe+yLB/sVKYnbW9vLBv8b+v4/yiSVEXrmDTluuGjjrxu+KiN9w0wNHhUKO6c11iw9LTGzYOHN+6dNbO1J1jfLW/uEQ9E/Lv3Be7b5Pv72/fFLTvaIkd2JKltiIEJC8qDD10wdPCh/z70e+17y/KQsPieeY2bHji9cdO6Yxp377wbKw5shHK3qGEFsDh2gBgsOzvOsiNJ2xTCXeV+B941tN+B/zl09sZ79wsPPzi3cfN9ZzYWrHlm466ps1m2/4Qw7KU8uitm2VkM7L/J9/vRpTyWnR3nNJYkjcL95R57f23oOXt/beg5G+/bleWPzm3ccs+8xvwVJzTumLxfeGTviQwe6Eqwjok5jXUZ8LYQwkW0Tkxe3o3zdWAUV1AWJM18JTB9uz8oSdph01nzxEmN2xY9uRIsCQ/NnsL6OSH4C/oYdXSriBDChcBZtC4+vAT4e2AiQFmWn2kvPf934EW0lp6/sSzLX3Yqz9OyWXZ2XNLMbwJ+6xoCkqTOmMz6tc8Mdy2aN7Dg0bmNWzgkLN51BmsOdiXYDrmJC5b32wbegNNYo3Unlh1J6pp1TJpyfXnkkdcPHrnxvgGGBo8M92xcCXZE496ZM1k5JwR2jhi1yu6MHSAWy87o9O0bRpKqYoiBCTeVBx1609BBh35y6Jz2vWV5cHjg3tMbNy2e17hp/TGNu6fvzvKkEcrdo4athr49dll2Rueu2AEkSVsSwm/KfQ/4zdC+B3xp6EUb792Xhx+aO7Dw3vZKsCl78dj+E8Jwv+3+3bfHLsvO6PRtO5akXrSYPfb6+tBZe3196KyN981ixWNzG7cUT64E2z88vNdEBpMarwTr22OXZWd0+vYNI0l1sYydd82HT9k1Hz5l433TWfPEiY3b7z6zMf/xkxu3NuaEh/acwvqDarISrG+PXa7GGoWkmQdgJTAtdhZJUmdNYsO69kqwR+Y2FnJoayXYQSEwNXa2HbCKC5bPiB0iFsvOKCXNfAFwTOwckqTuazA8dES45+55jQVLTm/cPHhE456Zs1iZhMAusbNtxXwuWP7M2CFiqcOwXCx3YtmRpL40TGNgYTnnkIVDcw759NDL2veW5UHhwXvOaNz04BmNBWuPady90x4sP6ARyj2ihm3p2ykssOyMRV+/cSRJmwthUbnPgYuG9jnwS0Mv3HjvPjzy0NyBhffOayxY86xw55S9w2P7TQjD+3Y5XF8fsyw7o7cwdgBJUvU9wO57fWPozL2+MXTmxvtm8sSyUxu3FGc25i8/oXH7pP3Dw3tPau0J1uhQjNs69Lo9wbIzejfGDiBJ6k2Ps9OsK4ZPnnXF8Mkb75vOmpXPbtyx6KyNK8Ee3HNqa0+wiePwV84fh9foWZad0bsVWAM9dTa+JKmiVjF1xtXDxx179fBxG++bxIZ1x4Xf3DZvYMHDcxsLy0PD/bvu1FoJtiOrgdcDt4x74B7iaqwxSJr59cBJsXNIkvpHg+Ghw8O9RXsl2IYjG/fsMosn5mxjJVhfr8QCR3bG6kYsO5KkLhqmMXBLmRx8y1By8GeGXtq+tyznhAfvPaNx8wNnNBasPbaxaMbuLD9woLUSrK+nsMCyM1aetyNJqoAQ7i73OeDuoX0O+PLQ72y8d28eXXJMY9FPPxcxWRVYdsbmhtgBJEnamgfZbfaDw7vdGjtHbJ1a4tYvbgIGY4eQJGkrhvEXc8vOWBRZupY+v3aBJKnSbi+ydFXsELFZdsbO83YkSVX1y9gBqsCyM3bXxw4gSdJW/Dx2gCqw7IzdT2IHkCRpK66OHaAKLDtjdxOwLHYISZI2s4zWMarvWXbGqMjSErgmdg5JkjZzTfsY1fcsO+PDYUJJUtV4bGqz7IwP31CSpKr5cewAVWHZGR83ACtjh5AkqW0lXkxwI8vOOCiydBC4NnYOSZLaflZk6VDsEFVh2Rk/TmVJkqrCKaxNWHbGj2VHklQVHpM2YdkZP9cDq2OHkCT1vdV45eSnseyMkyJL1wE/ip1DktT3vl9k6frYIarEsjO+rogdQJLU9/LYAarGsjO+LDuSpNgsO5ux7IyjIksXAXfGziFJ6lu/LrJ0cewQVWPZGX82aklSLB6DtsCyM/4ujx1AktS3LDtbYNkZfz8BlscOIUnqO4/QugyKNmPZGWdFlm4AroydQ5LUd64osnQ4dogqsux0xmWxA0iS+o5TWFth2emMHPCCTpKkblmPswpbZdnpgCJLl+ObTpLUPVe2jz3aAstO51wYO4AkqW94zNkGy07nXI4bg0qSOm8Vniu6TZadDimy1DefJKkbLiuy1F+ut8Gy01kOK0qSOs1jzXZYdjrrSuDx2CEkSbW1DPhO7BBVZ9npoCJL1wOXxM4hSaqtS9rHGm2DZafzLoodQJJUW05hjYBlp/N+CCyJHUKSVDsPAT+KHaIXWHY6rMjSIeCrsXNIkmrnv9wLa2QsO93xudgBJEm147FlhCw7XVBk6R3AVbFzSJJq46r2sUUjYNnpHhu4JGm8fDZ2gF5i2eme/wEeiR1CktTzHsHLmuwQy06XtK+D8KXYOSRJPe+LXltnx1h2usupLEnSWJR4LNlhlp0u8kRlSdIY/ajI0jtjh+g1lp3us5FLkkbLY8goWHa673+ApbFDSJJ6zlLg0tghepFlp8vaJ5V9MnYOSVLP+aQnJo+OZSeOTwKrY4eQJPWM1fiL8qhZdiIosvRR4Auxc0iSesYX2scOjYJlJ55/BYZih5AkVd4QrWOGRsmyE0mRpYvwRDNJ0vZd0j5maJQsO3F9OHYASVLl/XPsAL3OshNRkaU/B66OnUOSVFlXFVn6y9ghep1lJz5HdyRJW+MxYhxYduLLgVtjh5AkVc5C4IrYIerAshNZkaUl8I+xc0iSKuef2scIjZFlpxoupNXgJUmC1jHhwtgh6sKyUwFFlg4Dfx87hySpMv6+fWzQOLDsVMclwI2xQ0iSoruB1jFB48SyUxHtedn3xs4hSYruvZ6rM75CWfrfs0qSZn4tcErsHJKkKK4tsnRu7BB148hO9fxd7ACSpGjeEztAHTmyU0FJM/8RcFbsHJKkrvpRkaXPjR2ijhzZqSZHdySp/ziq0yGWnQoqsvQa4PLYOSRJXXN5kaU/ix2iriw71fVXwPrYISRJHbee1me+OsSyU1FFlt4JfDx2DklSx328/ZmvDrHsVNv7gaWxQ0iSOmYJrc96dZBlp8KKLF0BvDt2DklSx7y7/VmvDrLsVN9/4jYSklRHvwK+EDtEP7DsVFx7I7h3xM4hSRp373Czz+6w7PSAIkt/Anwtdg5J0ri5qMjSn8YO0S8sO73jXcCa2CEkSWO2Gvib2CH6iWWnRxRZei/wgdg5JElj9sEiS++LHaKfWHZ6y4eBBbFDSJJGbSHwz7FD9BvLTg8psnQD8GZgKHYWSdIOK4E/an+Wq4ssOz2myNJf4JWVJakXfabI0mtjh+hHlp3e9B7g7tghJEkj9gDQjB2iX1l2elCRpauBt8TOIUkasbd6peR4LDs9qsjS7wFfjp1DkrRdFxZZennsEP3MstPb/hI3CpWkKnsYeHvsEP3OstPDiix9DP9PJElV9udFlj4SO0S/s+z0uCJLLwYuip1DkvRbLm5/Risyy049vBW4J3YISdJG99L6bFYFWHZqoMjS5cBrAXfPlaT4hoHXFFn6eOwgarHs1ER7Z/Qsdg5JEv/U/kxWRVh26uXvgV/EDiFJfeznwAWxQ+jpQlmWsTNoHCXN/BDg18D02Fkkqc+sBJ5ZZOlvYgfR0zmyUzNFlt4FvCN2DknqQ39u0akmR3ZqKmnm3wB+P3YOSeoTXyuy9BWxQ2jLHNmprz/C5eiS1A0FLjOvNMtOTRVZugw4D1gXO4sk1dga4Nz2Z64qyrJTY0WW/hLP35GkTnprkaU3xg6hbbPs1FyRpZ8FvhQ7hyTV0KeKLP1y7BDaPstOf/gTYH7sEJJUIz8D/iJ2CI2Mq7H6RNLME+CXwG6Ro0hSr3sIeHaRpQ/EDqKRcWSnTxRZWgCvBIYiR5GkXrYBON+i01ssO32kyNLvA83YOSSph/11kaXXxA6hHeM0Vh9KmvlXgNfEziFJPeYrRZa+LnYI7ThHdvrTm4CrY4eQpB5yNfDm2CE0Oo7s9Kmkme9KazXBYbGzSFLF3QbM9cKBvcuy08eSZn4QcB2wR+wsklRRS4FTiiy9O3YQjZ7TWH2syNJFwEuBtbGzSFIFrQFeatHpfZadPldk6XW0TlZ2iE+SnjIMvKbI0utjB9HYWXZEkaX/A/xN7BySVCHvKrL0ktghND48Z0cbJc38U7S2lpCkfvbvRZb+eewQGj+O7GhTfw5cGjuEJEV0Ke55VTuO7OhpkmY+CbgMeGHsLJLUZVcCLyuydH3sIBpflh39lqSZT6X1f/p5sbNIUpf8GDi7yNI1sYNo/Fl2tEVJM98J+D5wUuwsktRh1wPPL7J0Zewg6gzLjrYqaeazgKuAYyNHkaROmQ88x6sj15tlR9uUNPM9ae0J47YSkurmNmBekaUPxw6iznI1lrapyNKlwPMAryAqqU4WAc+z6PQHy462q8jSxbQKz/2xs0jSOLifVtF5IHYQdYdlRyPS3htmHo7wSOptd9OauipiB1H3WHY0Yu3CcwateW5J6jW3AWe4sWf/sexoh7SntM6ktYJBknrFfFojOotjB1H3WXa0w9onLT8H+HnsLJI0AtfTWl7uych9yrKjUWlfk+L5tK46KklV9WNaFwz0Ojp9zLKjUSuy9AngbOA7sbNI0hZcQWsLCK+M3OcsOxqT9j4yL8Xd0iVVyyXAOe51JbDsaBy0dwg+H/hU7CySROuz6OXuXq4nuV2ExlXSzN8JfBiLtKTuGwbeVWTpv8YOomqx7GjcJc38XOCrwNTYWST1jTXAa4osvSR2EFWPZUcdkTTzk4HLgT1iZ5FUe0uBlxZZen3sIKomy446JmnmBwHfxh3TJXXObcCLvSqytsXzKtQxRZYuAuYCP4mdRVIt/RiYa9HR9lh21FFFlj4GvIDWOTySNF6+AvyOFwvUSDiNpa5Jmvk7gI8AE2JnkdSzBoG/LrL0Y7GDqHdYdtRVSTOfB3wNmB07i6Ses4TW9XOujh1EvcWyo65Lmvk+wDeAU2NnkdQzrgXOK7L0gdhB1Hs8Z0dd1/6wOgv4dOQoknrDJ4EzLToaLUd2FFXSzF8PfAaYEjuLpMpZA7ylyNKvxA6i3mbZUXRJMz8e+B8giRxFUnXcDZxbZOmvYwdR73MaS9EVWXoDcDzw9dhZJFXCJcCzLToaL47sqFKSZv5G4OPAjNhZJHXdGuAviiz9XOwgqhfLjionaeaHAP8FnBQ7i6SuWQC8qsjSW2IHUf04jaXKKbL0LuA04IPAcOQ4kjqrBD4KnGTRUac4sqNKa1+E8CvAAbGzSBp39wNvKLL0B7GDqN4c2VGlta+UehxwcewsksbVxcCxFh11gyM76hlJM3858Algz9hZJI3aUuDtRZb6C4y6xpEd9YwiS78GHAF8MXIUSaPzReAIi466zZEd9aSkmb8A+CwwJ3YWSdu1iNaVkL8fO4j6kyM76klFln4POBr4N1yxJVXVEPAvwDEWHcXkyI56XtLMTwL+AzgmdhZJG80H3lRk6a9iB5Ec2VHPK7L058CzgffQugKrpHjWAH8LnGDRUVU4sqNaSZr5gbSGzX8/dhapD10M/E2RpffGDiJtyrKjWkqa+fNo7bF1ZOwsUh+4AXhHkaXXxA4ibYnTWKql9oXKjgPeATwWOY5UV0uANwEnWnRUZY7sqPaSZr4r8F7gT4GJkeNIdbAe+BjwgSJLV8QOI22PZUd9I2nmhwEfAV4SO4vUwy4D/qq9Ya/UEyw76jtJM58LfAB4TuwsUg+5CnhPkaU/jR1E2lGWHfWt9knM7wdOjZ1FqrBrgb9zw071MsuO+l7SzFNapedZsbNIFXIDrZLz7dhBpLFyNZb6XpGlOa2LEp4HLIwcR4rtZlrXqTrBoqO6cGRH2kTSzBvAq2hdAdZr9Kif3ErrXLaLiix1vznVimVH2oKkmQfgxcC7gDMjx5E66ce0VinmRZZ6QFAtWXak7Uia+Ym0Ss+5wEDkONJ4GAIuAT5cZOkvYoeROs2yI41Q0swPAt4JvBGYFjmONBqrgf8E/q3I0kWxw0jdYtmRdlDSzHcD/gx4G7BH5DjSSCwFPgF8qshSt09R37HsSKOUNPNJwO8BbwHOAkLUQNJv+xHwOeCSIkvXxw4jxWLZkcZB0swPBf4YeAOwe9w06nMPA18CPldk6Z2xw0hVYNmRxlF7tOdcnhrtkbrFURxpKyw7UockzfwZwB8BrwH2ihxH9bQE+AqO4kjbZNmROixp5gO0RnleRWvUZ1bUQOp1j9NaNn4h8KMiS4ci55Eqz7IjdVF7muuFtIrPS4HpcROpR6wCLgMuAq50mkraMZYdKZKkmU+jVXheCZwNTIqbSBWzDriCVsG5vMjS1ZHzSD3LsiNVQNLMdwFeBKS0io8ruvrTI8CVQA5cUWTp8sh5pFqw7EgV096M9GRaxeclwHFxE6nDfk2r3OTA9W7CKY0/y45UcUkz34/WpqQvAZ6HW1X0ulXA92mVm28XWbo4ch6p9iw7Ug9Jmvlk4CRgXvs2F5gRNZS2Zx1wHa3r4FwFXFdk6bqoiaQ+Y9mReljSzCcAx/NU+TkDmBk1lJ4ArgWuAX5Cq9ysjRtJ6m+WHalG2uf7HEOr9JxAqwgdAUyImavGBoHbgBuAXwA/BRZ47RupWiw7Us0lzXwKrQL0LFrl51nAscCUmLl60BpgAXDjJrebHLWRqs+yI/Wh9vTX4bSKz1HAYe3bwXi9n9XAXcCd7T9vplVsbnPERupNlh1JG7W3tpgDHEKr+Gx6OwDYKV66cbUSWMRTpebJYnNnkaUPxAwmafxZdiSNWNLMp9Pa1HTvLfz55NezaZWi6UDoUrSS1ojMCuChzW4Pbv51kaUru5RLUgVYdiR1RNLMA63CM6N922mzP2cw8hOnN9AajdnS7QlgVZGlfphJ2iLLjiRJqrVG7ACSJEmdZNmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm1ZtmRJEm19v8Bi6+Ll0U5L+wAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "According to the plot, 96.96% population do not take the BP Medicines.\n",
        "\n"
      ],
      "metadata": {
        "id": "yfS_aced7udO"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#stroke distribution\n",
        "plt.figure(figsize=(10,10))\n",
        "plt.title(\"Stroke\")\n",
        "heart_df[\"prevalentStroke\"].value_counts().plot(kind=\"pie\",autopct='%1.2f%%')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 608
        },
        "id": "ezF55WYSzT54",
        "outputId": "c70d4e24-9f46-478f-c9f4-e764bb80c54c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f0278778310>"
            ]
          },
          "metadata": {},
          "execution_count": 15
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "According to the plot, 99.44% of the population is not suffering from prevalent Stroke."
      ],
      "metadata": {
        "id": "9b7wZhb671Wc"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Hypertension distribution\n",
        "plt.figure(figsize=(10,10))\n",
        "plt.title(\"Hypertension\")\n",
        "heart_df[\"prevalentHyp\"].value_counts().plot(kind=\"pie\",autopct='%1.2f%%')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 608
        },
        "id": "r58ZVv9QzWQG",
        "outputId": "03f8fcda-9aa7-4660-a433-ddcac8c9d765"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.axes._subplots.AxesSubplot at 0x7f027bb43a90>"
            ]
          },
          "metadata": {},
          "execution_count": 16
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "According to the plot, 31.18% of the population is suffering from Hypertension."
      ],
      "metadata": {
        "id": "4KRSgqEb72DY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#bar plot to plot heart disease affect on heart rate\n",
        "plt.figure(figsize=(10,10))\n",
        "sn.barplot(x=\"TenYearCHD\",y=\"heartRate\",data=heart_df)\n",
        "plt.title(\"Heart Rate impact on Heart Disase\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 638
        },
        "id": "vp6fImQXzYpA",
        "outputId": "cd22a029-fd8b-4771-911c-31f8cd4f4913"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Heart Rate impact on Heart Disase')"
            ]
          },
          "metadata": {},
          "execution_count": 17
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "According to the plot, we clearly see that heart rate does not have much impact on heart diseases"
      ],
      "metadata": {
        "id": "4M6xgVOv7200"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#bar plot to plot heart disease affect on Cholestrol\n",
        "plt.figure(figsize=(10,10))\n",
        "sn.barplot(x=\"TenYearCHD\",y=\"totChol\",data=heart_df)\n",
        "plt.title(\"Cholesterol impact on Heart Disase\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 638
        },
        "id": "SSWL9TYRzeGw",
        "outputId": "c565808a-e614-49e8-bd0b-b2353daf5d11"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Cholesterol impact on Heart Disase')"
            ]
          },
          "metadata": {},
          "execution_count": 18
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "According to the plot, there is not much difference in Cholesterol levels of the population suffering from heart diseases and not suffering from heart diseases."
      ],
      "metadata": {
        "id": "lLRqWtOU73m3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#bar plot to plot glucose level impact on heart disease\n",
        "plt.figure(figsize=(10,10))\n",
        "sn.barplot(x=\"TenYearCHD\",y=\"glucose\",data=heart_df)\n",
        "plt.title(\"Glucose impact on Heart Disase\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 638
        },
        "id": "TkVWlP400W3d",
        "outputId": "fa4ede7e-8deb-4b87-ead5-d045a76e1c87"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Glucose impact on Heart Disase')"
            ]
          },
          "metadata": {},
          "execution_count": 19
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "According to the plot, the glucose level does not have a significant difference in heart diseases."
      ],
      "metadata": {
        "id": "d7A2_YNv74bi"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#bar plot to plot BMI impact on heart disease\n",
        "plt.figure(figsize=(10,10))\n",
        "sn.barplot(x=\"TenYearCHD\",y=\"BMI\",data=heart_df)\n",
        "plt.title(\"BMI impact on Heart Disase\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 638
        },
        "id": "wT65OVv40b7U",
        "outputId": "e4d9c21c-85ae-4403-e85f-c8dc55a8b0d2"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'BMI impact on Heart Disase')"
            ]
          },
          "metadata": {},
          "execution_count": 20
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "According to the plot, BMI does not have a significant difference in heart diseases."
      ],
      "metadata": {
        "id": "bvtJ6InK75FP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#bar plot to plot diaBp impact on heart disease\n",
        "plt.figure(figsize=(10,10))\n",
        "sn.barplot(x=\"TenYearCHD\",y=\"diaBP\",data=heart_df)\n",
        "plt.title(\"diaBP impact on Heart Disase\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 638
        },
        "id": "jr0JPEir0e0B",
        "outputId": "c1e2ee21-4069-4f58-f538-dc784e8b6673"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'diaBP impact on Heart Disase')"
            ]
          },
          "metadata": {},
          "execution_count": 21
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "According to the plot, diastolic Blood Pressure also does not have a significant difference in heart diseases."
      ],
      "metadata": {
        "id": "LxOxNgjb75jL"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#bar plot to plot sysBP impact on heart disease\n",
        "plt.figure(figsize=(10,10))\n",
        "sn.barplot(x=\"TenYearCHD\",y=\"sysBP\",data=heart_df)\n",
        "plt.title(\"sysBP impact on Heart Disase\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 638
        },
        "id": "1-Ya88x-0h7r",
        "outputId": "729833e5-5a93-4d6a-fd7a-7403ccb7a243"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'sysBP impact on Heart Disase')"
            ]
          },
          "metadata": {},
          "execution_count": 22
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "According to the plot, systolic Blood Pressure also does not have a significant difference in heart diseases."
      ],
      "metadata": {
        "id": "wxHF7mYi76DW"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#bar plot to plot cigs per day impact on heart disease\n",
        "plt.figure(figsize=(10,10))\n",
        "sn.barplot(x=\"TenYearCHD\",y=\"cigsPerDay\",data=heart_df)\n",
        "\n",
        "plt.title(\"Cigarettes impact on Heart Disase\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 638
        },
        "id": "X3rOIG8X0lS0",
        "outputId": "611ce1dc-1db6-4731-c12d-947616a432d8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Cigarettes impact on Heart Disase')"
            ]
          },
          "metadata": {},
          "execution_count": 23
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "According to the plot, the population with heart diseases smoke more cigarettes per day than the population not suffering from heart diseases."
      ],
      "metadata": {
        "id": "iGzfty2n76zp"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#bar plot to plot stroke impact on heart disease\n",
        "plt.figure(figsize=(10,10))\n",
        "sn.barplot(x=\"TenYearCHD\",y=\"prevalentStroke\",data=heart_df)\n",
        "\n",
        "plt.title(\"Stroke impact on Heart Disase\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 638
        },
        "id": "5fNAZsOZ0n7U",
        "outputId": "f92f5148-ac91-49dd-f46e-94886371067a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Stroke impact on Heart Disase')"
            ]
          },
          "metadata": {},
          "execution_count": 24
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "According to the plot, the population suffering from Stroke has a higher probability of suffering from heart diseases."
      ],
      "metadata": {
        "id": "XDcn9l7d78UD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#bar plot to plot hypertension impact on heart disease\n",
        "plt.figure(figsize=(10,10))\n",
        "sn.barplot(x=\"TenYearCHD\",y=\"prevalentHyp\",data=heart_df)\n",
        "\n",
        "plt.title(\"Hypertension impact on Heart Disase\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 638
        },
        "id": "FyBezo-A0sWf",
        "outputId": "591b6fcf-6c90-493b-8156-dcca29a9077f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Text(0.5, 1.0, 'Hypertension impact on Heart Disase')"
            ]
          },
          "metadata": {},
          "execution_count": 25
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 720x720 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "According to the plot, the population suffering from Hypertension have higher chances of having Heart Diseases.\n",
        "\n"
      ],
      "metadata": {
        "id": "q9u9oHIM78_5"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "heart_df.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vC4xK8V6qhDr",
        "outputId": "e2c0a5a6-976d-4a96-8008-cd67a8a32ee5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3749, 15)"
            ]
          },
          "metadata": {},
          "execution_count": 26
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "a = heart_df.drop(['TenYearCHD'], axis=1 )\n",
        "b = pd.DataFrame(data = heart_df['TenYearCHD'])"
      ],
      "metadata": {
        "id": "hLEOFyaMUdqO"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "ba927a83"
      },
      "outputs": [],
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "x_train,x_test,y_train,y_test=train_test_split(a,b,test_size=0.3,random_state=2)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.linear_model import LogisticRegression\n",
        "from sklearn.tree import DecisionTreeClassifier\n",
        "from sklearn.svm import SVC\n",
        "from sklearn.naive_bayes import GaussianNB\n",
        "from sklearn.ensemble import AdaBoostClassifier\n",
        "from sklearn.ensemble import BaggingClassifier\n",
        "from sklearn.ensemble import RandomForestClassifier \n",
        "from sklearn.metrics import confusion_matrix , classification_report,accuracy_score\n",
        "from sklearn.metrics import roc_curve , auc"
      ],
      "metadata": {
        "id": "lwzPgs9d0J17"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model1 = LogisticRegression()\n",
        "model1.fit(x_train,y_train)\n",
        "y_pred1 = model1.predict(x_test)\n",
        "print(classification_report(y_test,y_pred1))\n",
        "print(\"accuracy score : \",accuracy_score(y_test,y_pred1))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "i3kAhwgj1o4S",
        "outputId": "8a29dd0f-b2e3-4f21-c4e2-5939cddac077"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.84      0.99      0.91       939\n",
            "           1       0.47      0.05      0.09       186\n",
            "\n",
            "    accuracy                           0.83      1125\n",
            "   macro avg       0.66      0.52      0.50      1125\n",
            "weighted avg       0.78      0.83      0.77      1125\n",
            "\n",
            "accuracy score :  0.8337777777777777\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
            "  y = column_or_1d(y, warn=True)\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/linear_model/_logistic.py:818: ConvergenceWarning: 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",
            "  extra_warning_msg=_LOGISTIC_SOLVER_CONVERGENCE_MSG,\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model2 = DecisionTreeClassifier()\n",
        "model2.fit(x_train,y_train)\n",
        "y_pred2 = model2.predict(x_test)\n",
        "print(classification_report(y_test,y_pred2))\n",
        "print(\"accuracy score : \",accuracy_score(y_test,y_pred2))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WEYRZJzb1pg5",
        "outputId": "827a8698-8356-4334-b53c-75a369edc8c9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.85      0.84      0.84       939\n",
            "           1       0.22      0.23      0.22       186\n",
            "\n",
            "    accuracy                           0.74      1125\n",
            "   macro avg       0.53      0.53      0.53      1125\n",
            "weighted avg       0.74      0.74      0.74      1125\n",
            "\n",
            "accuracy score :  0.7404444444444445\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model3 = SVC()\n",
        "model3.fit(x_train,y_train)\n",
        "y_pred3 = model3.predict(x_test)\n",
        "print(classification_report(y_test,y_pred3))\n",
        "print(\"accuracy score : \",accuracy_score(y_test,y_pred3))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dwgAL3pG2G1I",
        "outputId": "9e1a16d5-7d9f-418a-8477-73ed7688af1f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
            "  y = column_or_1d(y, warn=True)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.83      1.00      0.91       939\n",
            "           1       0.00      0.00      0.00       186\n",
            "\n",
            "    accuracy                           0.83      1125\n",
            "   macro avg       0.42      0.50      0.45      1125\n",
            "weighted avg       0.70      0.83      0.76      1125\n",
            "\n",
            "accuracy score :  0.8346666666666667\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n",
            "/usr/local/lib/python3.7/dist-packages/sklearn/metrics/_classification.py:1318: UndefinedMetricWarning: Precision and F-score are ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.\n",
            "  _warn_prf(average, modifier, msg_start, len(result))\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model4 = GaussianNB()\n",
        "model4.fit(x_train,y_train)\n",
        "y_pred4 = model4.predict(x_test)\n",
        "print(classification_report(y_test,y_pred4))\n",
        "print(\"accuracy score : \",accuracy_score(y_test,y_pred4))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "exN6hiPs2I5x",
        "outputId": "eefe481d-6f23-4a86-b9ba-864aed4f4ac9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.87      0.93      0.90       939\n",
            "           1       0.44      0.28      0.34       186\n",
            "\n",
            "    accuracy                           0.82      1125\n",
            "   macro avg       0.65      0.60      0.62      1125\n",
            "weighted avg       0.80      0.82      0.81      1125\n",
            "\n",
            "accuracy score :  0.8222222222222222\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
            "  y = column_or_1d(y, warn=True)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model5 = KNeighborsClassifier()\n",
        "model5.fit(x_train,y_train)\n",
        "y_pred5 = model5.predict(x_test)\n",
        "print(classification_report(y_test,y_pred5))\n",
        "print(\"accuracy score : \",accuracy_score(y_test,y_pred5))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "gr57OozY2JAT",
        "outputId": "d71fb45f-3df5-4fa8-e13e-fd6b13096fad"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.84      0.97      0.90       939\n",
            "           1       0.24      0.05      0.09       186\n",
            "\n",
            "    accuracy                           0.82      1125\n",
            "   macro avg       0.54      0.51      0.49      1125\n",
            "weighted avg       0.74      0.82      0.76      1125\n",
            "\n",
            "accuracy score :  0.816\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/neighbors/_classification.py:198: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
            "  return self._fit(X, y)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model6 = AdaBoostClassifier()\n",
        "model6.fit(x_train,y_train)\n",
        "y_pred6 = model6.predict(x_test)\n",
        "print(classification_report(y_test,y_pred6))\n",
        "print(\"accuracy score : \",accuracy_score(y_test,y_pred6))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ci2jjVR42JHW",
        "outputId": "235a7bee-265a-4cab-f2eb-c2f44c9c9a6e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/utils/validation.py:993: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
            "  y = column_or_1d(y, warn=True)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.85      0.97      0.91       939\n",
            "           1       0.48      0.12      0.19       186\n",
            "\n",
            "    accuracy                           0.83      1125\n",
            "   macro avg       0.66      0.55      0.55      1125\n",
            "weighted avg       0.79      0.83      0.79      1125\n",
            "\n",
            "accuracy score :  0.8328888888888889\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model7 = BaggingClassifier()\n",
        "model7.fit(x_train,y_train)\n",
        "y_pred7 = model7.predict(x_test)\n",
        "print(classification_report(y_test,y_pred7))\n",
        "print(\"accuracy score : \",accuracy_score(y_test,y_pred7))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "jrlv5y3p2JO5",
        "outputId": "22fdf98e-efc5-4fef-b324-40d79066339c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.84      0.96      0.90       939\n",
            "           1       0.35      0.11      0.16       186\n",
            "\n",
            "    accuracy                           0.82      1125\n",
            "   macro avg       0.60      0.53      0.53      1125\n",
            "weighted avg       0.76      0.82      0.78      1125\n",
            "\n",
            "accuracy score :  0.8195555555555556\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/sklearn/ensemble/_bagging.py:719: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().\n",
            "  y = column_or_1d(y, warn=True)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "model8 = RandomForestClassifier()\n",
        "model8.fit(x_train,y_train)\n",
        "y_pred8 = model8.predict(x_test)\n",
        "print(classification_report(y_test,y_pred8))\n",
        "print(\"accuracy score : \",accuracy_score(y_test,y_pred8))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "XEScnH-f2JWD",
        "outputId": "2b03bf45-203c-44b0-e73a-d397c183b468"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/ipykernel_launcher.py:2: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().\n",
            "  \n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "              precision    recall  f1-score   support\n",
            "\n",
            "           0       0.84      0.99      0.91       939\n",
            "           1       0.50      0.04      0.08       186\n",
            "\n",
            "    accuracy                           0.83      1125\n",
            "   macro avg       0.67      0.52      0.49      1125\n",
            "weighted avg       0.78      0.83      0.77      1125\n",
            "\n",
            "accuracy score :  0.8346666666666667\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Here , we are considering medical data so we will maximize f1 score for true values . We check all the algorithms and we see the report of Gaussain Nave Bayes Classifier to come out the maximum so that's the optimum model that was considered. "
      ],
      "metadata": {
        "id": "l3rEiKHhadO1"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "fdsylJqJazGR"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}