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mean0.2969210.4290010.4241210.96267028.3823640.4431690.0405710.0941860.7565440.634256...0.9510530.0841772.5113923.1847724.2420810.1682240.4403428.0321195.0504346.053875
std0.6981600.4949340.4942100.1895716.6086940.4967610.1972940.2920870.4291690.481639...0.2157590.2776541.0684777.4128478.7179510.3740660.4964293.0542200.9857742.071148
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8 rows × 22 columns

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" ], "text/plain": [ " Diabetes_012 HighBP HighChol CholCheck \\\n", "count 253680.000000 253680.000000 253680.000000 253680.000000 \n", "mean 0.296921 0.429001 0.424121 0.962670 \n", "std 0.698160 0.494934 0.494210 0.189571 \n", "min 0.000000 0.000000 0.000000 0.000000 \n", "25% 0.000000 0.000000 0.000000 1.000000 \n", "50% 0.000000 0.000000 0.000000 1.000000 \n", "75% 0.000000 1.000000 1.000000 1.000000 \n", "max 2.000000 1.000000 1.000000 1.000000 \n", "\n", " BMI Smoker Stroke HeartDiseaseorAttack \\\n", "count 253680.000000 253680.000000 253680.000000 253680.000000 \n", "mean 28.382364 0.443169 0.040571 0.094186 \n", "std 6.608694 0.496761 0.197294 0.292087 \n", "min 12.000000 0.000000 0.000000 0.000000 \n", "25% 24.000000 0.000000 0.000000 0.000000 \n", "50% 27.000000 0.000000 0.000000 0.000000 \n", "75% 31.000000 1.000000 0.000000 0.000000 \n", "max 98.000000 1.000000 1.000000 1.000000 \n", "\n", " PhysActivity Fruits ... AnyHealthcare NoDocbcCost \\\n", "count 253680.000000 253680.000000 ... 253680.000000 253680.000000 \n", "mean 0.756544 0.634256 ... 0.951053 0.084177 \n", "std 0.429169 0.481639 ... 0.215759 0.277654 \n", "min 0.000000 0.000000 ... 0.000000 0.000000 \n", "25% 1.000000 0.000000 ... 1.000000 0.000000 \n", "50% 1.000000 1.000000 ... 1.000000 0.000000 \n", "75% 1.000000 1.000000 ... 1.000000 0.000000 \n", "max 1.000000 1.000000 ... 1.000000 1.000000 \n", "\n", " GenHlth MentHlth PhysHlth DiffWalk \\\n", "count 253680.000000 253680.000000 253680.000000 253680.000000 \n", "mean 2.511392 3.184772 4.242081 0.168224 \n", "std 1.068477 7.412847 8.717951 0.374066 \n", "min 1.000000 0.000000 0.000000 0.000000 \n", "25% 2.000000 0.000000 0.000000 0.000000 \n", "50% 2.000000 0.000000 0.000000 0.000000 \n", "75% 3.000000 2.000000 3.000000 0.000000 \n", "max 5.000000 30.000000 30.000000 1.000000 \n", "\n", " Sex Age Education Income \n", "count 253680.000000 253680.000000 253680.000000 253680.000000 \n", "mean 0.440342 8.032119 5.050434 6.053875 \n", "std 0.496429 3.054220 0.985774 2.071148 \n", "min 0.000000 1.000000 1.000000 1.000000 \n", "25% 0.000000 6.000000 4.000000 5.000000 \n", "50% 0.000000 8.000000 5.000000 7.000000 \n", "75% 1.000000 10.000000 6.000000 8.000000 \n", "max 1.000000 13.000000 6.000000 8.000000 \n", "\n", "[8 rows x 22 columns]" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Get descriptive statistics for numerical columns\n", "df.describe()" ] }, { "cell_type": "code", "execution_count": 3, "id": "011c4e84-7cb0-40fa-80b4-87b8a4b5d24c", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Diabetes_012 0\n", "HighBP 0\n", "HighChol 0\n", "CholCheck 0\n", "BMI 0\n", "Smoker 0\n", "Stroke 0\n", "HeartDiseaseorAttack 0\n", "PhysActivity 0\n", "Fruits 0\n", "Veggies 0\n", "HvyAlcoholConsump 0\n", "AnyHealthcare 0\n", "NoDocbcCost 0\n", "GenHlth 0\n", "MentHlth 0\n", "PhysHlth 0\n", "DiffWalk 0\n", "Sex 0\n", "Age 0\n", "Education 0\n", "Income 0\n", "dtype: int64" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Check for missing values\n", "df.isnull().sum()" ] }, { "cell_type": "code", "execution_count": 4, "id": "526f7e4f-cb83-4769-ae8d-efcd8ceeea95", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Missing values before handling:\n", "\n", "Diabetes_012 0\n", "HighBP 0\n", "HighChol 0\n", "CholCheck 0\n", "BMI 0\n", "Smoker 0\n", "Stroke 0\n", "HeartDiseaseorAttack 0\n", "PhysActivity 0\n", "Fruits 0\n", "Veggies 0\n", "HvyAlcoholConsump 0\n", "AnyHealthcare 0\n", "NoDocbcCost 0\n", "GenHlth 0\n", "MentHlth 0\n", "PhysHlth 0\n", "DiffWalk 0\n", "Sex 0\n", "Age 0\n", "Education 0\n", "Income 0\n", "dtype: int64\n" ] } ], "source": [ "print(\"Missing values before handling:\\n\")\n", "print(df.isnull().sum())" ] }, { "cell_type": "code", "execution_count": 5, "id": "1e84bffe-8141-4b5b-9a9c-c9b798e20560", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Diabetes_012 float64\n", "HighBP float64\n", "HighChol float64\n", "CholCheck float64\n", "BMI float64\n", "Smoker float64\n", "Stroke float64\n", "HeartDiseaseorAttack float64\n", "PhysActivity float64\n", "Fruits float64\n", "Veggies float64\n", "HvyAlcoholConsump float64\n", "AnyHealthcare float64\n", "NoDocbcCost float64\n", "GenHlth float64\n", "MentHlth float64\n", "PhysHlth float64\n", "DiffWalk float64\n", "Sex float64\n", "Age float64\n", "Education float64\n", "Income float64\n", "dtype: object" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.dtypes" ] }, { "cell_type": "code", "execution_count": 6, "id": "1b83a9c0-9369-46f9-9ebf-d8c106e87a34", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Diabetes_012HighBPHighCholCholCheckBMISmokerStrokeHeartDiseaseorAttackPhysActivityFruits...AnyHealthcareNoDocbcCostGenHlthMentHlthPhysHlthDiffWalkSexAgeEducationIncome
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mean0.2969210.4290010.4241210.96267028.3823640.4431690.0405710.0941860.7565440.634256...0.9510530.0841772.5113923.1847724.2420810.1682240.4403428.0321195.0504346.053875
std0.6981600.4949340.4942100.1895716.6086940.4967610.1972940.2920870.4291690.481639...0.2157590.2776541.0684777.4128478.7179510.3740660.4964293.0542200.9857742.071148
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75%0.0000001.0000001.0000001.00000031.0000001.0000000.0000000.0000001.0000001.000000...1.0000000.0000003.0000002.0000003.0000000.0000001.00000010.0000006.0000008.000000
max2.0000001.0000001.0000001.00000098.0000001.0000001.0000001.0000001.0000001.000000...1.0000001.0000005.00000030.00000030.0000001.0000001.00000013.0000006.0000008.000000
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8 rows × 22 columns

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" ], "text/plain": [ " Diabetes_012 HighBP HighChol CholCheck \\\n", "count 253680.000000 253680.000000 253680.000000 253680.000000 \n", "mean 0.296921 0.429001 0.424121 0.962670 \n", "std 0.698160 0.494934 0.494210 0.189571 \n", "min 0.000000 0.000000 0.000000 0.000000 \n", "25% 0.000000 0.000000 0.000000 1.000000 \n", "50% 0.000000 0.000000 0.000000 1.000000 \n", "75% 0.000000 1.000000 1.000000 1.000000 \n", "max 2.000000 1.000000 1.000000 1.000000 \n", "\n", " BMI Smoker Stroke HeartDiseaseorAttack \\\n", "count 253680.000000 253680.000000 253680.000000 253680.000000 \n", "mean 28.382364 0.443169 0.040571 0.094186 \n", "std 6.608694 0.496761 0.197294 0.292087 \n", "min 12.000000 0.000000 0.000000 0.000000 \n", "25% 24.000000 0.000000 0.000000 0.000000 \n", "50% 27.000000 0.000000 0.000000 0.000000 \n", "75% 31.000000 1.000000 0.000000 0.000000 \n", "max 98.000000 1.000000 1.000000 1.000000 \n", "\n", " PhysActivity Fruits ... AnyHealthcare NoDocbcCost \\\n", "count 253680.000000 253680.000000 ... 253680.000000 253680.000000 \n", "mean 0.756544 0.634256 ... 0.951053 0.084177 \n", "std 0.429169 0.481639 ... 0.215759 0.277654 \n", "min 0.000000 0.000000 ... 0.000000 0.000000 \n", "25% 1.000000 0.000000 ... 1.000000 0.000000 \n", "50% 1.000000 1.000000 ... 1.000000 0.000000 \n", "75% 1.000000 1.000000 ... 1.000000 0.000000 \n", "max 1.000000 1.000000 ... 1.000000 1.000000 \n", "\n", " GenHlth MentHlth PhysHlth DiffWalk \\\n", "count 253680.000000 253680.000000 253680.000000 253680.000000 \n", "mean 2.511392 3.184772 4.242081 0.168224 \n", "std 1.068477 7.412847 8.717951 0.374066 \n", "min 1.000000 0.000000 0.000000 0.000000 \n", "25% 2.000000 0.000000 0.000000 0.000000 \n", "50% 2.000000 0.000000 0.000000 0.000000 \n", "75% 3.000000 2.000000 3.000000 0.000000 \n", "max 5.000000 30.000000 30.000000 1.000000 \n", "\n", " Sex Age Education Income \n", "count 253680.000000 253680.000000 253680.000000 253680.000000 \n", "mean 0.440342 8.032119 5.050434 6.053875 \n", "std 0.496429 3.054220 0.985774 2.071148 \n", "min 0.000000 1.000000 1.000000 1.000000 \n", "25% 0.000000 6.000000 4.000000 5.000000 \n", "50% 0.000000 8.000000 5.000000 7.000000 \n", "75% 1.000000 10.000000 6.000000 8.000000 \n", "max 1.000000 13.000000 6.000000 8.000000 \n", "\n", "[8 rows x 22 columns]" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.describe()" ] }, { "cell_type": "code", "execution_count": 7, "id": "e7d9c8b1-b81a-41ac-b768-7c82058d8734", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Diabetes_012 0\n", "HighBP 0\n", "HighChol 0\n", "CholCheck 0\n", "BMI 0\n", "Smoker 0\n", "Stroke 0\n", "HeartDiseaseorAttack 0\n", "PhysActivity 0\n", "Fruits 0\n", "Veggies 0\n", "HvyAlcoholConsump 0\n", "AnyHealthcare 0\n", "NoDocbcCost 0\n", "GenHlth 0\n", "MentHlth 0\n", "PhysHlth 0\n", "DiffWalk 0\n", "Sex 0\n", "Age 0\n", "Education 0\n", "Income 0\n", "dtype: int64" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.isnull().sum()" ] }, { "cell_type": "code", "execution_count": 8, "id": "145b9a89-f4e2-495a-908f-754eec4afb6e", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Columns dropped: []\n", "Remaining columns: Index(['Diabetes_012', 'HighBP', 'HighChol', 'CholCheck', 'BMI', 'Smoker',\n", " 'Stroke', 'HeartDiseaseorAttack', 'PhysActivity', 'Fruits', 'Veggies',\n", " 'HvyAlcoholConsump', 'AnyHealthcare', 'NoDocbcCost', 'GenHlth',\n", " 'MentHlth', 'PhysHlth', 'DiffWalk', 'Sex', 'Age', 'Education',\n", " 'Income'],\n", " dtype='object')\n" ] } ], "source": [ "missing_percentage = df.isnull().mean() * 100\n", "threshold = 30\n", "# Filter columns with more than the threshold percentage of missing values\n", "columns_to_drop = missing_percentage[missing_percentage > threshold].index\n", "# Drop the columns\n", "df = df.drop(columns=columns_to_drop)\n", "# Display the resulting dataframe after removing columns with too many missing valu\n", "print(f\"Columns dropped: {list(columns_to_drop)}\")\n", "print(f\"Remaining columns: {df.columns}\")" ] }, { "cell_type": "code", "execution_count": 9, "id": "29d3e750-38b0-40e5-a011-7d371d898e1e", "metadata": {}, "outputs": [], "source": [ "for col in df.columns:\n", " if df[col].isnull().sum() > 0:\n", " if df[col].dtype == 'object':\n", " mode_val = df[col].mode()[0]\n", " df[col].fillna(mode_val, inplace=True)\n", " print(f\"Filled missing values in '{col}' with mode: {mode_val}\")\n", " else:\n", " median_val = df[col].median()\n", " df[col].fillna(median_val, inplace=True)\n", " print(f\"Filled missing values in '{col}' with median: {median_val}\")" ] }, { "cell_type": "code", "execution_count": 10, "id": "1e3c2515-8c84-460f-a769-2abdbf487d7b", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "Missing values after handling:\n", " Diabetes_012 0\n", "HighBP 0\n", "HighChol 0\n", "CholCheck 0\n", "BMI 0\n", "Smoker 0\n", "Stroke 0\n", "HeartDiseaseorAttack 0\n", "PhysActivity 0\n", "Fruits 0\n", "Veggies 0\n", "HvyAlcoholConsump 0\n", "AnyHealthcare 0\n", "NoDocbcCost 0\n", "GenHlth 0\n", "MentHlth 0\n", "PhysHlth 0\n", "DiffWalk 0\n", "Sex 0\n", "Age 0\n", "Education 0\n", "Income 0\n", "dtype: int64\n" ] } ], "source": [ "print(\"\\nMissing values after handling:\\n\",\n", " df.isnull().sum())" ] }, { "cell_type": "code", "execution_count": 12, "id": "42b0df88-f559-4947-b6a8-fd2714cb0263", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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" ], "text/plain": [ " Diabetes_012 HighBP HighChol CholCheck BMI Smoker Stroke \\\n", "0 0.0 1.0 1.0 1.0 40.0 1.0 0.0 \n", "1 0.0 0.0 0.0 0.0 25.0 1.0 0.0 \n", "2 0.0 1.0 1.0 1.0 28.0 0.0 0.0 \n", "3 0.0 1.0 0.0 1.0 27.0 0.0 0.0 \n", "4 0.0 1.0 1.0 1.0 24.0 0.0 0.0 \n", "\n", " HeartDiseaseorAttack PhysActivity Fruits ... AnyHealthcare \\\n", "0 0.0 0.0 0.0 ... 1.0 \n", "1 0.0 1.0 0.0 ... 0.0 \n", "2 0.0 0.0 1.0 ... 1.0 \n", "3 0.0 1.0 1.0 ... 1.0 \n", "4 0.0 1.0 1.0 ... 1.0 \n", "\n", " NoDocbcCost GenHlth MentHlth PhysHlth DiffWalk Sex Age Education \\\n", "0 0.0 5.0 18.0 15.0 1.0 0.0 9.0 4.0 \n", "1 1.0 3.0 0.0 0.0 0.0 0.0 7.0 6.0 \n", "2 1.0 5.0 30.0 30.0 1.0 0.0 9.0 4.0 \n", "3 0.0 2.0 0.0 0.0 0.0 0.0 11.0 3.0 \n", "4 0.0 2.0 3.0 0.0 0.0 0.0 11.0 5.0 \n", "\n", " Income \n", "0 3.0 \n", "1 1.0 \n", "2 8.0 \n", "3 6.0 \n", "4 4.0 \n", "\n", "[5 rows x 22 columns]" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from sklearn.preprocessing import LabelEncoder\n", "\n", "label_encoder = LabelEncoder()\n", "\n", "# Encode all object (categorical) columns\n", "for column in df.select_dtypes(include=['object']).columns:\n", " df[column] = label_encoder.fit_transform(df[column])\n", "\n", "df.head()" ] }, { "cell_type": "code", "execution_count": 14, "id": "7fcc0ab0-a3bb-4a45-9527-e5482ce8f173", "metadata": {}, "outputs": [], "source": [ "# Fill missing values in columns with mode\n", "for column in df.select_dtypes(include=['float64']).columns:\n", " mean_value = df[column].mean() # Get the mode (most frequent value)\n", " df[column] = df[column].fillna(mean_value)" ] }, { "cell_type": "code", "execution_count": 15, "id": "1203f1f7-d669-4afe-9e6a-00c8c4c07670", "metadata": {}, "outputs": [], "source": [ "# Fill missing values in categorical columns with mode\n", "for column in df.select_dtypes(include=['object']).columns:\n", " mode_value = df[column].mode()[0] # Get the mode (most frequent value)\n", " df[column] = df[column].fillna(mode_value)" ] }, { "cell_type": "code", "execution_count": 16, "id": "a384dd5a-d2ac-433e-828c-f7132ec2efc8", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Diabetes_012 0\n", "HighBP 0\n", "HighChol 0\n", "CholCheck 0\n", "BMI 0\n", "Smoker 0\n", "Stroke 0\n", "HeartDiseaseorAttack 0\n", "PhysActivity 0\n", "Fruits 0\n", "Veggies 0\n", "HvyAlcoholConsump 0\n", "AnyHealthcare 0\n", "NoDocbcCost 0\n", "GenHlth 0\n", "MentHlth 0\n", "PhysHlth 0\n", "DiffWalk 0\n", "Sex 0\n", "Age 0\n", "Education 0\n", "Income 0\n", "dtype: int64" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df.isnull().sum()" ] }, { "cell_type": "code", "execution_count": 17, "id": "f0814749-5da6-4032-9f09-726485079708", "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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253680 rows × 22 columns

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" ], "text/plain": [ " Diabetes_012 HighBP HighChol CholCheck BMI Smoker Stroke \\\n", "0 0.0 1.0 1.0 1.0 40.000000 1.0 0.0 \n", "1 0.0 0.0 0.0 1.0 25.000000 1.0 0.0 \n", "2 0.0 1.0 1.0 1.0 28.000000 0.0 0.0 \n", "3 0.0 1.0 0.0 1.0 27.000000 0.0 0.0 \n", "4 0.0 1.0 1.0 1.0 24.000000 0.0 0.0 \n", "... ... ... ... ... ... ... ... \n", "253675 0.0 1.0 1.0 1.0 27.569492 0.0 0.0 \n", "253676 0.0 1.0 1.0 1.0 18.000000 0.0 0.0 \n", "253677 0.0 0.0 0.0 1.0 28.000000 0.0 0.0 \n", "253678 0.0 1.0 0.0 1.0 23.000000 0.0 0.0 \n", "253679 0.0 1.0 1.0 1.0 25.000000 0.0 0.0 \n", "\n", " HeartDiseaseorAttack PhysActivity Fruits ... AnyHealthcare \\\n", "0 0.0 1.0 0.0 ... 1.0 \n", "1 0.0 1.0 0.0 ... 1.0 \n", "2 0.0 1.0 1.0 ... 1.0 \n", "3 0.0 1.0 1.0 ... 1.0 \n", "4 0.0 1.0 1.0 ... 1.0 \n", "... ... ... ... ... ... \n", "253675 0.0 1.0 1.0 ... 1.0 \n", "253676 0.0 1.0 0.0 ... 1.0 \n", "253677 0.0 1.0 1.0 ... 1.0 \n", "253678 0.0 1.0 1.0 ... 1.0 \n", "253679 0.0 1.0 1.0 ... 1.0 \n", "\n", " NoDocbcCost GenHlth MentHlth PhysHlth DiffWalk Sex Age \\\n", "0 0.0 2.386951 0.0 0.0 0.0 0.0 9.0 \n", "1 0.0 3.000000 0.0 0.0 0.0 0.0 7.0 \n", "2 0.0 2.386951 0.0 0.0 0.0 0.0 9.0 \n", "3 0.0 2.000000 0.0 0.0 0.0 0.0 11.0 \n", "4 0.0 2.000000 0.0 0.0 0.0 0.0 11.0 \n", "... ... ... ... ... ... ... ... \n", "253675 0.0 3.000000 0.0 0.0 0.0 1.0 5.0 \n", "253676 0.0 4.000000 0.0 0.0 0.0 0.0 11.0 \n", "253677 0.0 1.000000 0.0 0.0 0.0 0.0 2.0 \n", "253678 0.0 3.000000 0.0 0.0 0.0 1.0 7.0 \n", "253679 0.0 2.000000 0.0 0.0 0.0 0.0 9.0 \n", "\n", " Education Income \n", "0 4.0 3.0 \n", "1 6.0 1.0 \n", "2 4.0 8.0 \n", "3 3.0 6.0 \n", "4 5.0 4.0 \n", "... ... ... \n", "253675 6.0 7.0 \n", "253676 2.0 4.0 \n", "253677 5.0 2.0 \n", "253678 5.0 1.0 \n", "253679 6.0 2.0 \n", "\n", "[253680 rows x 22 columns]" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df" ] }, { "cell_type": "code", "execution_count": 28, "id": "fddba4fd-30e3-45a5-987b-d56dd2239655", "metadata": {}, "outputs": [], "source": [ "def replace_outliers_with_nan(column):\n", " Q1 = column.quantile(0.25)\n", " Q3 = column.quantile(0.75)\n", " IQR = Q3 - Q1\n", " lower_bound = Q1 - 1.5 * IQR\n", " upper_bound = Q3 + 1.5 * IQR\n", " # Replace outliers with NaN\n", " return column.where((column >= lower_bound) & (column <= upper_bound), np.nan)\n", "# Replace outliers with NaN for each feature\n", "for col in df.columns:\n", " df[col] = replace_outliers_with_nan(df[col])" ] }, { "cell_type": "code", "execution_count": 30, "id": "eae557f3-8f2f-47ff-9af6-9001932e5843", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Sum of null values in each column:\n", "Diabetes_012 0\n", "HighBP 0\n", "HighChol 0\n", "CholCheck 0\n", "BMI 0\n", "Smoker 0\n", "Stroke 0\n", "HeartDiseaseorAttack 0\n", "PhysActivity 0\n", "Fruits 0\n", "Veggies 0\n", "HvyAlcoholConsump 0\n", "AnyHealthcare 0\n", "NoDocbcCost 0\n", "GenHlth 0\n", "MentHlth 0\n", "PhysHlth 0\n", "DiffWalk 0\n", "Sex 0\n", "Age 0\n", "Education 0\n", "Income 0\n", "dtype: int64\n" ] } ], "source": [ "null_counts = df.isnull().sum()\n", "print(\"Sum of null values in each column:\")\n", "print(null_counts)" ] }, { "cell_type": "code", "execution_count": 31, "id": "349a7871-a7e6-4c75-bdc2-721587beabdd", "metadata": {}, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" }, { "ename": "ValueError", "evalue": "num must be an integer with 1 <= num <= 9, not 10", "output_type": "error", "traceback": [ "\u001b[31m---------------------------------------------------------------------------\u001b[39m", "\u001b[31mValueError\u001b[39m Traceback (most recent call last)", "\u001b[36mCell\u001b[39m\u001b[36m \u001b[39m\u001b[32mIn[31]\u001b[39m\u001b[32m, line 14\u001b[39m\n\u001b[32m 12\u001b[39m plt.figure(figsize=(\u001b[32m15\u001b[39m, \u001b[32m10\u001b[39m))\n\u001b[32m 13\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m i, col \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28menumerate\u001b[39m(df.select_dtypes(include=\u001b[33m'\u001b[39m\u001b[33mnumber\u001b[39m\u001b[33m'\u001b[39m).columns, \u001b[32m1\u001b[39m):\n\u001b[32m---> \u001b[39m\u001b[32m14\u001b[39m plt.subplot(\u001b[32m3\u001b[39m, \u001b[32m3\u001b[39m, i) \u001b[38;5;66;03m# Adjust subplot grid based on number of numeric cols\u001b[39;00m\n\u001b[32m 15\u001b[39m sns.boxplot(y=df[col])\n\u001b[32m 16\u001b[39m plt.title(\u001b[33mf\u001b[39m\u001b[33m'\u001b[39m\u001b[33mBoxplot of \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mcol\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m'\u001b[39m)\n", "\u001b[36mFile \u001b[39m\u001b[32m~\\anaconda3\\envs\\www\\Lib\\site-packages\\matplotlib\\pyplot.py:1550\u001b[39m, in \u001b[36msubplot\u001b[39m\u001b[34m(*args, **kwargs)\u001b[39m\n\u001b[32m 1547\u001b[39m fig = gcf()\n\u001b[32m 1549\u001b[39m \u001b[38;5;66;03m# First, search for an existing subplot with a matching spec.\u001b[39;00m\n\u001b[32m-> \u001b[39m\u001b[32m1550\u001b[39m key = SubplotSpec._from_subplot_args(fig, args)\n\u001b[32m 1552\u001b[39m \u001b[38;5;28;01mfor\u001b[39;00m ax \u001b[38;5;129;01min\u001b[39;00m fig.axes:\n\u001b[32m 1553\u001b[39m \u001b[38;5;66;03m# If we found an Axes at the position, we can reuse it if the user passed no\u001b[39;00m\n\u001b[32m 1554\u001b[39m \u001b[38;5;66;03m# kwargs or if the Axes class and kwargs are identical.\u001b[39;00m\n\u001b[32m 1555\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m (ax.get_subplotspec() == key\n\u001b[32m 1556\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m (kwargs == {}\n\u001b[32m 1557\u001b[39m \u001b[38;5;129;01mor\u001b[39;00m (ax._projection_init\n\u001b[32m 1558\u001b[39m == fig._process_projection_requirements(**kwargs)))):\n", "\u001b[36mFile \u001b[39m\u001b[32m~\\anaconda3\\envs\\www\\Lib\\site-packages\\matplotlib\\gridspec.py:589\u001b[39m, in \u001b[36mSubplotSpec._from_subplot_args\u001b[39m\u001b[34m(figure, args)\u001b[39m\n\u001b[32m 587\u001b[39m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[32m 588\u001b[39m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;28misinstance\u001b[39m(num, Integral) \u001b[38;5;129;01mor\u001b[39;00m num < \u001b[32m1\u001b[39m \u001b[38;5;129;01mor\u001b[39;00m num > rows*cols:\n\u001b[32m--> \u001b[39m\u001b[32m589\u001b[39m \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\n\u001b[32m 590\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mnum must be an integer with 1 <= num <= \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mrows*cols\u001b[38;5;132;01m}\u001b[39;00m\u001b[33m, \u001b[39m\u001b[33m\"\u001b[39m\n\u001b[32m 591\u001b[39m \u001b[33mf\u001b[39m\u001b[33m\"\u001b[39m\u001b[33mnot \u001b[39m\u001b[38;5;132;01m{\u001b[39;00mnum\u001b[38;5;132;01m!r}\u001b[39;00m\u001b[33m\"\u001b[39m\n\u001b[32m 592\u001b[39m )\n\u001b[32m 593\u001b[39m i = j = num\n\u001b[32m 594\u001b[39m \u001b[38;5;28;01mreturn\u001b[39;00m gs[i-\u001b[32m1\u001b[39m:j]\n", "\u001b[31mValueError\u001b[39m: num must be an integer with 1 <= num <= 9, not 10" ] }, { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "\n", "\n", "# 1. Histogram for all numerical features\n", "df.hist(bins=30, figsize=(15, 10))\n", "plt.suptitle('Histograms of Numerical Features')\n", "plt.show()\n", "\n", "# 2. Boxplots to visualize outliers for numerical features\n", "plt.figure(figsize=(15, 10))\n", "for i, col in enumerate(df.select_dtypes(include='number').columns, 1):\n", " plt.subplot(3, 3, i) # Adjust subplot grid based on number of numeric cols\n", " sns.boxplot(y=df[col])\n", " plt.title(f'Boxplot of {col}')\n", "plt.tight_layout()\n", "plt.show()\n", "\n", "# 3. Correlation heatmap\n", "plt.figure(figsize=(12, 8))\n", "corr = df.corr()\n", "sns.heatmap(corr, annot=True, cmap='coolwarm', fmt=\".2f\", linewidths=0.5)\n", "plt.title('Correlation Heatmap')\n", "plt.show()\n", "\n", "# 4. Countplot for categorical columns (if any)\n", "categorical_cols = df.select_dtypes(include='object').columns\n", "for col in categorical_cols:\n", " plt.figure(figsize=(10, 5))\n", " sns.countplot(data=df, x=col)\n", " plt.title(f'Countplot of {col}')\n", " plt.xticks(rotation=45)\n", " plt.show()" ] }, { "cell_type": "code", "execution_count": 32, "id": "dbdea703-06bd-44fd-b015-f0ae2bedd1f3", "metadata": {}, "outputs": [ { "data": { "image/png": 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s7777ToMGDVKpUqXs+0dHR6tbt256/fXX1aVLF33xxRd67LHHtHXrVjVq1Oj2nzgAADlIw4YN1bBhw2x/3CVLlmjo0KGaOXOmmjRpovfff1+hoaHav39/uhc7pXYDAPIDm0nvqmHZJCkpSUWLFrX/fDPX5+VESUlJ8vb2VmJiYo7NeejQIfXv318XanZUaqGSVscBAMsVuJCgQvtXas6cOapatarVcdJlVX35+uuvNXLkSI0fP97+5n379u0aNWqUXn31VXl7e+vZZ59Vo0aNNHfu3Awf12az6YsvvlDnzp2dznn55Ze1cuVKHThwwD42YMAA/fTTT4qOjpYkdevWTUlJSVq7dq19Ttu2bVW8eHEtXrw4Q1lyQ+0GAOQ+d1pf9u7dm+G5d9999y0fPyMaNWqk+vXra9asWfaxGjVqqHPnzpo4cWKa+dRuAEBultH6YumZ6MWLF1dcXJxKly6tYsWKpXth0etnvKWkpFiQEACA/GfIkCGaM2eOGjdubB9r2bKlPD091b9/f+3bt0/Tpk1Tnz59Mv2xo6Oj1bp1a4exNm3aaO7cubpy5Yrc3NwUHR2t8PDwNHOmTZuW6XkAAMhOdevWTffbYDfKqvfIly9f1s6dOzV8+HCH8datW2vbtm3p7kPtBgDkB5Y20Tdu3CgfHx9J0qZNm6yMAgAA/r/ffvst3U/gixYtqiNHjkiSqlSpooSEhEx/7Pj4ePn6+jqM+fr66urVq0pISFCZMmWczomPj3d63OTkZCUnJ9u3/+0bcDnF4cOHb2kNeji6ePGifvvtN6tjAA4qVaqkggULWh0j1woKClLlypWtjpFlrP5/fkJCglJSUm6pzlK7HVG77wy1GzkRtfvO5JXabWkTvVmzZun+DAAArBMcHKyXXnpJCxcuVKlSpSRJp06d0rBhw3TPPfdIkv773/+qXLlyWfL4N34z7frZeP8cT29Oet9ou27ixIkaO3ZsJqbMHu+9955++uknq2MAQI5Rp04dvfvuu1bHyDKBgYFWR5B063WW2v0/1G4AcJRXarflFxa97ttvv73p/ffff382JQEAIH+bO3euOnXqpHLlyikgIEA2m02xsbGqWLGivvzyS0nS+fPn9eqrr2b6Y/v5+aU5K+3kyZNydXVViRIlbjrnxjPc/mnEiBGKiIiwbyclJSkgICATk2eN559/nrPZ7gBnsyEn4my2OxMUFGR1hGz122+/adq0aTpw4IBsNptq1KihIUOGqFKlSlnyeCVLlpSLi8st1VlqtyNq952hdiMnonbfmbxSu3NME7158+Zpxv75qTRrogMAkD2qVaumAwcOaP369Tp06JCMMapevbpatWqlAgUKSNJNLw56J0JCQrRq1SqHsQ0bNqhBgwZyc3Ozz4mKinJYW3XDhg0Oa7jfyMPDQx4eHlmSOStVrlw5T3z1EQBw69avX6+OHTuqbt26atKkiYwx2rZtm+666y6tWrVKrVq1yvTHdHd3V3BwsKKiotSlSxf7eFRUlDp16pTuPtRuR9RuAMibckwT/cyZMw7bV65c0e7du/Xqq69q/PjxFqUCACB/stlsatu2rdq2bXtHxzl//rwOHz5s346JidGePXvk4+Oj8uXLa8SIETpx4oQWLlwoSRowYIAiIyMVERGhZ555RtHR0Zo7d64WL15sP8aQIUN0//33a9KkSerUqZO+/PJL/ec//9HWrVvvKCsAADnJ8OHDFR4erjfffDPN+Msvv5wlTXRJioiIUM+ePdWgQQOFhIRozpw5io2N1YABAySJ2g0AyJdyTBPd29s7zVirVq3k4eGh8PBw7dy504JUAADkP9OnT0933GazydPTU5UrV9b9998vFxeXfz3Wjh071KJFC/v29a9l9+rVSwsWLFBcXJxiY2Pt9wcFBWnNmjUKDw/XjBkz5O/vr+nTp6tr1672OY0bN9ann36qUaNG6dVXX1WlSpW0ZMkSNWrU6HafMgAAOc6BAwe0dOnSNON9+vTRtGnTsuxxu3XrptOnT2vcuHGKi4tTrVq1tGbNGvt67dRuAEB+ZDPXr/iRQx04cED33HOPzp8/b3UUp5KSkuTt7a3ExEQVLVrU6jjpOnTokPr3768LNTsqtVBJq+MAgOUKXEhQof0rNWfOHFWtWtXqOOmyqr4EBQXp1KlTunjxoooXLy5jjM6ePauCBQuqcOHCOnnypCpWrKhNmzblirVJ05MbajcAIPfJzPoSEBCgKVOm6NFHH3UYX7p0qV588UWHRnZ+QO0GAGSFjNaXHHMm+t69ex22jTGKi4vTm2++qTp16liUCgCA/GfChAmaM2eOPvzwQ/uFyw4fPqxnn31W/fv3V5MmTdS9e3eFh4fr888/tzgtAAB50zPPPKP+/fvryJEjaty4sWw2m7Zu3apJkybphRdesDoeAAD5So5potetW1c2m003nhh/7733at68eRalAgAg/xk1apSWLVtmb6BL1y6S9fbbb6tr1646cuSIJk+e7PA1bQAAkLleffVVFSlSRO+8845GjBghSfL399eYMWMUFhZmcToAAPKXHNNEj4mJcdguUKCASpUqJU9PT4sSAQCQP8XFxenq1atpxq9evar4+HhJ197Enzt3LrujAQCQb9hsNoWHhys8PNxec4sUKWJxKgAA8qcCVgeQpCtXrqh3795KTk5WYGCgAgMDFRAQQAMdAAALtGjRQs8++6x2795tH9u9e7cGDhyoBx54QJL0888/KygoyKqIAADkK0WKFKGBDgCAhXJEE93NzU2//PKLbDab1VEAAMj35s6dKx8fHwUHB8vDw0MeHh5q0KCBfHx8NHfuXElS4cKF9c4771icFACAvOvPP/9Uz5495e/vL1dXV7m4uDjcAABA9skxy7k89dRTmjt3rt58802rowAAkK/5+fkpKipKv/76qw4dOiRjjKpXr65q1arZ57Ro0cLChAAA5H29e/dWbGysXn31VZUpU4aTzgAAsFCOaaJfvnxZH374oaKiotSgQQMVKlTI4f4pU6ZYlAwAgPypYsWKstlsqlSpklxdc8yfDAAA5Atbt27Vli1bVLduXaujAACQ71n+jvjIkSOqUKGCfvnlF9WvX1+SdOjQIYc5fOIOAED2uXjxop5//nl99NFHkq7V5YoVKyosLEz+/v4aPny4xQkBAMj7AgICZIyxOgYAAFAOWBO9SpUqSkhI0KZNm7Rp0yaVLl1an376qX1706ZN2rhxo9UxAQDIN0aMGKGffvpJ33zzjcNFvh988EEtWbLEwmQAAOQf06ZN0/Dhw3X06FGrowAAkO9Zfib6jZ+sr127VhcuXLAoDQAAWLFihZYsWaJ7773X4dtgNWvW1G+//WZhMgAA8rbixYs71N4LFy6oUqVKKliwoNzc3Bzm/vXXX9kdDwCAfMvyJvqN+LoaAADWOnXqlEqXLp1m/MKFCyyxBgBAFpo2bZrVEQAAQDosb6LbbLY0b8h5gw4AgHXuuecerV69Ws8//7yk/9XlDz74QCEhIVZGAwAgT+vVq5fVEQAAQDosb6IbY9S7d295eHhIkv7++28NGDBAhQoVcpi3fPlyK+IBAJBv7NmzR3Xr1tWbb76pNm3aaP/+/bp69areffdd7du3T9HR0dq8ebPVMQEAyDdSUlK0YsUKHThwQDabTTVr1lTHjh3l4uJidTQAAPIVy5voN37S/uSTT1qUBACA/K1+/fqqV6+e+vXrpzVr1uiDDz5QpUqVtGHDBtWvX1/R0dGqXbu21TEBAMgXDh8+rHbt2unEiROqVq2ajDE6dOiQAgICtHr1alWqVMnqiAAA5BuWN9Hnz59vdQQAACDpu+++07x58zR8+HBduXJFDz/8sKZPn64HHnjA6mgAAOQ7YWFhqlSpkr7//nv5+PhIkk6fPq0nn3xSYWFhWr16tcUJAQDIPwpYHQAAAOQMISEh+uCDDxQfH69Zs2bp999/V6tWrVSpUiWNHz9ev//+u9URAQDINzZv3qzJkyfbG+iSVKJECb355pssrwYAQDajiQ4AABx4eXmpV69e+uabb3To0CE9/vjjev/99xUUFKR27dpZHQ8AgHzBw8ND586dSzN+/vx5ubu7W5AIAID8iyY6AABwqlKlSho+fLhGjhypokWLav369VZHAgAgX3jooYfUv39//fDDDzLGyBij77//XgMGDFDHjh2tjgcAQL5CEx0AAKRr8+bN6tWrl/z8/DRs2DA9/PDD+u6776yOBQBAvjB9+nRVqlRJISEh8vT0lKenp5o0aaLKlSvr3XfftToeAAD5iuUXFgUAADnH8ePHtWDBAi1YsEAxMTFq3Lix3nvvPT322GMqVKiQ1fEAAMg3ihUrpi+//FKHDx/WgQMHZIxRzZo1VblyZaujAQCQ79BEBwAAkqRWrVpp06ZNKlWqlJ566in16dNH1apVszoWAAD5WuXKlWmcAwBgMZroAABA0rULii5btkwPPfSQXFxcrI4DAEC+9sgjj6hBgwYaPny4w/hbb72l7du367PPPrMoGQAA+U+eXBN95syZCgoKkqenp4KDg7Vly5YM7ffdd9/J1dVVdevWzdqAAADkQCtXrlSnTp1ooAMAkANs3rxZ7du3TzPetm1bffvttxYkAgAg/8pzTfQlS5Zo6NChGjlypHbv3q2mTZsqNDRUsbH/j707j4uq7P8//h7Z3cYVREXFDfcyKEUzNRO33LI7y9wtwzUlM9G83VKzzDTXSNTMUiu1tIykXNJb3LdybVExBRVMcEWB8/vDH/N1hFE0hgF8PR+Pedyd61znuj7n4OP+zHzmmnOi73pcQkKCunfvrmbNmmVTpAAAAAAAZOzy5ctydXVN1+7i4qLExEQHRAQAwMMrzxXRp02bpj59+uiVV15R9erVNX36dPn4+Gju3Ll3Pe61115Tly5dFBgYmE2RAgAAAACQsVq1amn58uXp2pctW6YaNWo4ICIAAB5eeeqe6Ddu3NDu3bvT3TMuKChIW7dutXncwoUL9eeff2r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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import math\n", "\n", "numeric_cols = df.select_dtypes(include='number').columns\n", "num_plots = len(numeric_cols)\n", "\n", "# Define rows and columns for subplot grid\n", "cols = 3 # you can change this number\n", "rows = math.ceil(num_plots / cols)\n", "\n", "plt.figure(figsize=(cols * 5, rows * 4))\n", "\n", "for i, col in enumerate(numeric_cols, 1):\n", " plt.subplot(rows, cols, i)\n", " sns.boxplot(y=df[col])\n", " plt.title(f'Boxplot of {col}')\n", "\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 34, "id": "d9df92aa-cea5-42bf-926e-af663724c7b0", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(8,6))\n", "sns.scatterplot(data=df, x='HighBP', y='HighChol', hue='CholCheck')\n", "plt.title('Scatter Plot of HighBP vs HighChol')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 35, "id": "3d51a582-e9d1-4d16-8efa-009d991ccc93", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "\n", "\n", "df.columns = df.columns.str.strip()\n", "\n", "plt.figure(figsize=(8,6))\n", "sns.scatterplot(data=df, x='HighBP', y='HighChol', hue='CholCheck')\n", "plt.title('HighBP vs HighChol')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 36, "id": "835551bf-16e5-4124-b6dc-d52f58423136", "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(8, 6))\n", "sns.scatterplot(x='Age', y='CholCheck', data=df, hue='Education', palette='Set1')\n", "plt.title('Age vs CholCheck')\n", "plt.xlabel('Age')\n", "plt.ylabel('CholCheck')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 38, "id": "8c0f4ff4-c3d7-40a5-9f02-f18edf668f23", "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(8, 6))\n", "sns.histplot(df['Age'], bins=15, kde=True, color='blue')\n", "plt.title('Age Distribution')\n", "plt.xlabel('Age')\n", "plt.ylabel('Frequency')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 39, "id": "5102518a-caaf-442a-8bf6-f3731b34ee72", "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "C:\\Users\\Waled\\AppData\\Local\\Temp\\ipykernel_57176\\2643381904.py:2: FutureWarning: \n", "\n", "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n", "\n", " sns.countplot(x='Smoker', data=df, palette='Set2')\n" ] }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure(figsize=(8, 6))\n", "sns.countplot(x='Smoker', data=df, palette='Set2')\n", "plt.title('Smoker Count')\n", "plt.xlabel('Smoker')\n", "plt.ylabel('Count')\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": null, "id": "aaf9d8d7-bfc0-4aa9-9edc-65f18f9b7e3d", "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.11" } }, "nbformat": 4, "nbformat_minor": 5 }