Heart_Disease_EDA.ipynb

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   "source": [
    "<a href=\"https://colab.research.google.com/github/mart-anthony-stark/Machine-Learning-Daily/blob/main/Heart_Disease_EDA.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ZPGWgIWroKnu"
   },
   "source": [
    "# Heart Disease Exploratory Data Analysis"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "id": "lkuzFbmMmBxl"
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yekyv6szoSNR"
   },
   "source": [
    "## Context\n",
    "This data set dates from 1988 and consists of four databases: Cleveland, Hungary, Switzerland, and Long Beach V. It contains 76 attributes, including the predicted attribute, but all published experiments refer to using a subset of 14 of them. The \"target\" field refers to the presence of heart disease in the patient. It is integer valued 0 = no disease and 1 = disease.\n",
    "\n",
    "## Attribute information\n",
    "- age\n",
    "- sex\n",
    "- chest pain type (4 values)\n",
    "- resting blood pressure\n",
    "- serum cholestoral in mg/dl\n",
    "- fasting blood sugar > 120 mg/dl\n",
    "- resting electrocardiographic results (values 0,1,2)\n",
    "- maximum heart rate achieved\n",
    "- exercise induced angina\n",
    "- oldpeak = ST depression induced by exercise relative to rest\n",
    "- the slope of the peak exercise ST segment\n",
    "- number of major vessels (0-3) colored by flourosopy\n",
    "- thal: 0 = normal; 1 = fixed defect; 2 = reversable defect\n",
    "- The names and social security numbers of the patients were recently removed from the database, replaced with dummy values."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "rsr1eUQwonob"
   },
   "source": [
    "# Load Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "id": "Px6-6SFoonKa"
   },
   "outputs": [],
   "source": [
    "data = pd.read_csv('Datasets/heart-analysis.csv')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "P2xec3sOo875"
   },
   "source": [
    "# Get top 5 records"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
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    "id": "UFvGWgnwo8qr",
    "outputId": "e7682f21-884b-41e8-bc3d-b58992d79675"
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       "      <td>1</td>\n",
       "      <td>2.6</td>\n",
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       "      <td>148</td>\n",
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       "      <td>1</td>\n",
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       "      <td>138</td>\n",
       "      <td>294</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>106</td>\n",
       "      <td>0</td>\n",
       "      <td>1.9</td>\n",
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       "   age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  slope  \\\n",
       "0   52    1   0       125   212    0        1      168      0      1.0      2   \n",
       "1   53    1   0       140   203    1        0      155      1      3.1      0   \n",
       "2   70    1   0       145   174    0        1      125      1      2.6      0   \n",
       "3   61    1   0       148   203    0        1      161      0      0.0      2   \n",
       "4   62    0   0       138   294    1        1      106      0      1.9      1   \n",
       "\n",
       "   ca  thal  target  \n",
       "0   2     3       0  \n",
       "1   0     3       0  \n",
       "2   0     3       0  \n",
       "3   1     3       0  \n",
       "4   3     2       0  "
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     "execution_count": 15,
     "metadata": {},
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   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "25lUe7EcpDgH"
   },
   "source": [
    "# Get bottom 5 records"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
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    "id": "KotACg5GpDTI",
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       "      age  sex  cp  trestbps  chol  fbs  restecg  thalach  exang  oldpeak  \\\n",
       "1020   59    1   1       140   221    0        1      164      1      0.0   \n",
       "1021   60    1   0       125   258    0        0      141      1      2.8   \n",
       "1022   47    1   0       110   275    0        0      118      1      1.0   \n",
       "1023   50    0   0       110   254    0        0      159      0      0.0   \n",
       "1024   54    1   0       120   188    0        1      113      0      1.4   \n",
       "\n",
       "      slope  ca  thal  target  \n",
       "1020      2   0     2       1  \n",
       "1021      1   1     3       0  \n",
       "1022      1   1     2       0  \n",
       "1023      2   0     2       1  \n",
       "1024      1   1     3       0  "
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     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
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   "source": [
    "data.tail()"
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  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "fLx_TOyfpKlA"
   },
   "source": [
    "# Find shape of dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "xYc7wKylpMvQ",
    "outputId": "86688a02-31f9-4bec-8096-1cb72b27efe3"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1025, 14)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "vU2WPjnGpR2Y"
   },
   "source": [
    "# Find information (Rows, Columns, Data types per column, Memory Requirement"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "fU1YYU8BpbjB",
    "outputId": "e78503e7-3356-4f44-bb93-12d2977938f7"
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     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1025 entries, 0 to 1024\n",
      "Data columns (total 14 columns):\n",
      " #   Column    Non-Null Count  Dtype  \n",
      "---  ------    --------------  -----  \n",
      " 0   age       1025 non-null   int64  \n",
      " 1   sex       1025 non-null   int64  \n",
      " 2   cp        1025 non-null   int64  \n",
      " 3   trestbps  1025 non-null   int64  \n",
      " 4   chol      1025 non-null   int64  \n",
      " 5   fbs       1025 non-null   int64  \n",
      " 6   restecg   1025 non-null   int64  \n",
      " 7   thalach   1025 non-null   int64  \n",
      " 8   exang     1025 non-null   int64  \n",
      " 9   oldpeak   1025 non-null   float64\n",
      " 10  slope     1025 non-null   int64  \n",
      " 11  ca        1025 non-null   int64  \n",
      " 12  thal      1025 non-null   int64  \n",
      " 13  target    1025 non-null   int64  \n",
      "dtypes: float64(1), int64(13)\n",
      "memory usage: 112.2 KB\n"
     ]
    }
   ],
   "source": [
    "data.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "kFDABjLxph4Y"
   },
   "source": [
    "# Check dataset if has null values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "wpqwi3CBpn5K",
    "outputId": "a2068358-766b-4a06-c9e5-5fbd334b1341"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "age         0\n",
       "sex         0\n",
       "cp          0\n",
       "trestbps    0\n",
       "chol        0\n",
       "fbs         0\n",
       "restecg     0\n",
       "thalach     0\n",
       "exang       0\n",
       "oldpeak     0\n",
       "slope       0\n",
       "ca          0\n",
       "thal        0\n",
       "target      0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "TvXgTMjlqUFU"
   },
   "source": [
    "# Check duplicate data and drop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "id": "OnzMDPyyqS9J"
   },
   "outputs": [],
   "source": [
    "data_drop = data.duplicated().any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_drop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = data.drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "vDeQDnyAsFZL",
    "outputId": "c2d851f8-5d96-4546-b4b3-713732f06e82"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(302, 14)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "-DB_HVLPq16G"
   },
   "source": [
    "# Get overall statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
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    "id": "wETtKjq3q5Iy",
    "outputId": "dbb29c05-cc24-40a9-8d2c-8b23f7526929"
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   "outputs": [
    {
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       "      <td>302.000000</td>\n",
       "      <td>302.000000</td>\n",
       "      <td>302.000000</td>\n",
       "      <td>302.000000</td>\n",
       "      <td>302.000000</td>\n",
       "      <td>302.000000</td>\n",
       "      <td>302.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>54.42053</td>\n",
       "      <td>0.682119</td>\n",
       "      <td>0.963576</td>\n",
       "      <td>131.602649</td>\n",
       "      <td>246.500000</td>\n",
       "      <td>0.149007</td>\n",
       "      <td>0.526490</td>\n",
       "      <td>149.569536</td>\n",
       "      <td>0.327815</td>\n",
       "      <td>1.043046</td>\n",
       "      <td>1.397351</td>\n",
       "      <td>0.718543</td>\n",
       "      <td>2.314570</td>\n",
       "      <td>0.543046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>9.04797</td>\n",
       "      <td>0.466426</td>\n",
       "      <td>1.032044</td>\n",
       "      <td>17.563394</td>\n",
       "      <td>51.753489</td>\n",
       "      <td>0.356686</td>\n",
       "      <td>0.526027</td>\n",
       "      <td>22.903527</td>\n",
       "      <td>0.470196</td>\n",
       "      <td>1.161452</td>\n",
       "      <td>0.616274</td>\n",
       "      <td>1.006748</td>\n",
       "      <td>0.613026</td>\n",
       "      <td>0.498970</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>29.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>94.000000</td>\n",
       "      <td>126.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>71.000000</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>48.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>120.000000</td>\n",
       "      <td>211.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>133.250000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>55.50000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>130.000000</td>\n",
       "      <td>240.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>152.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>61.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>140.000000</td>\n",
       "      <td>274.750000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>166.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>77.00000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>200.000000</td>\n",
       "      <td>564.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>202.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>6.200000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             age         sex          cp    trestbps        chol         fbs  \\\n",
       "count  302.00000  302.000000  302.000000  302.000000  302.000000  302.000000   \n",
       "mean    54.42053    0.682119    0.963576  131.602649  246.500000    0.149007   \n",
       "std      9.04797    0.466426    1.032044   17.563394   51.753489    0.356686   \n",
       "min     29.00000    0.000000    0.000000   94.000000  126.000000    0.000000   \n",
       "25%     48.00000    0.000000    0.000000  120.000000  211.000000    0.000000   \n",
       "50%     55.50000    1.000000    1.000000  130.000000  240.500000    0.000000   \n",
       "75%     61.00000    1.000000    2.000000  140.000000  274.750000    0.000000   \n",
       "max     77.00000    1.000000    3.000000  200.000000  564.000000    1.000000   \n",
       "\n",
       "          restecg     thalach       exang     oldpeak       slope          ca  \\\n",
       "count  302.000000  302.000000  302.000000  302.000000  302.000000  302.000000   \n",
       "mean     0.526490  149.569536    0.327815    1.043046    1.397351    0.718543   \n",
       "std      0.526027   22.903527    0.470196    1.161452    0.616274    1.006748   \n",
       "min      0.000000   71.000000    0.000000    0.000000    0.000000    0.000000   \n",
       "25%      0.000000  133.250000    0.000000    0.000000    1.000000    0.000000   \n",
       "50%      1.000000  152.500000    0.000000    0.800000    1.000000    0.000000   \n",
       "75%      1.000000  166.000000    1.000000    1.600000    2.000000    1.000000   \n",
       "max      2.000000  202.000000    1.000000    6.200000    2.000000    4.000000   \n",
       "\n",
       "             thal      target  \n",
       "count  302.000000  302.000000  \n",
       "mean     2.314570    0.543046  \n",
       "std      0.613026    0.498970  \n",
       "min      0.000000    0.000000  \n",
       "25%      2.000000    0.000000  \n",
       "50%      2.000000    1.000000  \n",
       "75%      3.000000    1.000000  \n",
       "max      3.000000    1.000000  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "fUEvy5PirGjL"
   },
   "source": [
    "#Correlation matrix per column\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 449
    },
    "id": "e85HNnewrJPN",
    "outputId": "5f0e1b46-e873-4007-b6a1-3f983a015241"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1224x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(17,7))\n",
    "sns.heatmap(data.corr(), annot=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ZLG4UP0Mr3vI"
   },
   "source": [
    "# Check How Many People Have Heart Disease, And How Many Don't Have Heart Disease In This Dataset?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "PwuPRri_r6ft",
    "outputId": "008587da-ae93-4d1b-d9b2-4c1794700e77"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    164\n",
       "0    138\n",
       "Name: target, dtype: int64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['target'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 351
    },
    "id": "741V2jFCtlFx",
    "outputId": "3110ea2e-40f8-49d3-8f76-97985b162bcd"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\lenovo\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='target', ylabel='count'>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data['target'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yf4a9HbftcXA"
   },
   "source": [
    "# Find count of male and female in dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "wYCsXzfTtgxg",
    "outputId": "1243945c-e078-4689-d6a2-c8b6ea42acbc"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1    206\n",
       "0     96\n",
       "Name: sex, dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data['sex'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 334
    },
    "id": "CTaygSm_uKgQ",
    "outputId": "ed3cb25c-0f97-4e56-c576-7e8e4831c528"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\lenovo\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data['sex'], color='darkred')\n",
    "plt.xticks([0,1], ['Female', 'Male'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "nk6vBYbRxBJJ"
   },
   "source": [
    "# Find gender distribution according to target variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 279
    },
    "id": "vKG3klqfxGei",
    "outputId": "4b762ec0-be1a-4ff1-e8cd-21513966ff31"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='sex', hue='target', data=data)\n",
    "plt.xticks([1,0], ['Male', 'Female'])\n",
    "plt.legend(labels=['No-disease', 'Disease'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "uf5dRmhmyS2J"
   },
   "source": [
    "# Check age distribution in the dataset"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 334
    },
    "id": "PbbemTPAyZGz",
    "outputId": "a8950053-b443-4490-e536-78b183eff1c8"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\lenovo\\anaconda3\\lib\\site-packages\\seaborn\\distributions.py:2619: FutureWarning: `distplot` is a deprecated function and will be removed in a future version. Please adapt your code to use either `displot` (a figure-level function with similar flexibility) or `histplot` (an axes-level function for histograms).\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.distplot(data['age'], bins=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "DdImyDA_y2MF"
   },
   "source": [
    "# Check chest pain type\n",
    "- 0 - typical angina\n",
    "- 1 - atypical angina\n",
    "- 2 - non-anginal pain\n",
    "- 3 - asymptomatic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 408
    },
    "id": "oAIKmDTRzVGy",
    "outputId": "64a1d62d-5a64-4714-dd08-a908abfed467"
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\lenovo\\anaconda3\\lib\\site-packages\\seaborn\\_decorators.py:36: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(data['cp'])\n",
    "plt.xticks([0,1,2,3], ['typical angina', 'atypical angina', 'non-anginal pain', 'asymptomatic'])\n",
    "plt.xticks(rotation=75)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "uKeCpOyn0LHJ"
   },
   "source": [
    "# Show The Chest Pain Distribution As Per Target Variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "4oxO88Kj0NMD",
    "outputId": "1140ddb0-9267-4677-ba7c-ca6ea0e58650"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['age', 'sex', 'cp', 'trestbps', 'chol', 'fbs', 'restecg', 'thalach',\n",
       "       'exang', 'oldpeak', 'slope', 'ca', 'thal', 'target'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 353
    },
    "id": "jkX54eFt0NSy",
    "outputId": "05b97d5b-a931-439c-8f23-550acd175162"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='cp', hue='target', data=data)\n",
    "plt.xticks([0,1,2,3], ['typical angina', 'atypical angina', 'non-anginal pain', 'asymptomatic'])\n",
    "plt.xticks(rotation=75)\n",
    "plt.legend(labels=['No-disease', 'Disease'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "DSSiWuhF1M_j"
   },
   "source": [
    "# Show Fasting Blood Sugar Distribution According To Target Variable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 279
    },
    "id": "Tooo6IDj1UsZ",
    "outputId": "8f003698-b083-40d8-fbda-88022f7401ea"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(x='fbs', hue='target', data=data)\n",
    "plt.xticks([0,1], ['< 120mg','> 120mg'])\n",
    "plt.legend(labels=['No-disease', 'Disease'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "pFXltEGL2t9O"
   },
   "source": [
    "# Check Resting Blood Pressure Distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 281
    },
    "id": "MD1Ui6GV28Vq",
    "outputId": "1394f2dd-7f97-49b4-da42-67a6d090c107"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['trestbps'].hist()\n",
    "plt.title('Resting Blood Pressure Distribution')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "2lJBPZKd3b3R"
   },
   "source": [
    "# Compare Resting Blood Pressure As Per Sex Column"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 242
    },
    "id": "btQUv2EG3fjB",
    "outputId": "a9deca27-a9b3-401b-9328-77fb09ea2e63"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x2907a15b2b0>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 864x216 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.FacetGrid(data, hue='sex', aspect=4)\n",
    "g.map(sns.kdeplot,'trestbps', shade=True)\n",
    "plt.legend(labels=['Male', 'Female'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "H2zYn0jZ4-xh"
   },
   "source": [
    "# Show Distribution of Serum cholesterol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 281
    },
    "id": "YLv3ZRDi5BEZ",
    "outputId": "678cb062-ceb9-4fa2-94c6-baa564382614"
   },
   "outputs": [
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data['chol'].hist()\n",
    "plt.title('Serum Cholesterol Distribution (mg/dl)')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "elfoP0JH5TMD"
   },
   "source": [
    "# Plot Continuous Variables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "bVE4rja-5g00",
    "outputId": "fb01f26f-63bc-4ad2-f300-f6aa80a9bea1"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['age', 'sex', 'cp', 'trestbps', 'chol', 'fbs', 'restecg', 'thalach',\n",
       "       'exang', 'oldpeak', 'slope', 'ca', 'thal', 'target'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "KM2DdkMY6E5z",
    "outputId": "285d4023-0733-47fc-e5e9-2d9eaf57bf7b"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(['sex', 'cp', 'fbs', 'restecg', 'exang', 'slope', 'ca', 'thal', 'target'],\n",
       " ['age', 'trestbps', 'chol', 'thalach', 'oldpeak'])"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cate_val = []\n",
    "cont_val = []\n",
    "\n",
    "for column in data.columns:\n",
    "  if(data[column].nunique() <= 10):\n",
    "    cate_val.append(column)\n",
    "  else:\n",
    "    cont_val.append(column)\n",
    "\n",
    "cate_val, cont_val"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 413
    },
    "id": "D5tHtd1I756T",
    "outputId": "0cab8006-5605-4345-c6ed-f51f96bf6c82"
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x432 with 6 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.hist(cont_val, figsize=(15,6))\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "authorship_tag": "ABX9TyP8LnDdQn8m/ezMzjvX4VYi",
   "collapsed_sections": [],
   "include_colab_link": true,
   "name": "Heart Disease EDA.ipynb",
   "provenance": [],
   "toc_visible": true
  },
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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