update

add markdown, add eda,

eda.py

@@ -28,7 +28,29 @@ def run():
     insight yang dapat menjadi faktor-faktor / variabel yang membuat seorang 
     pasien dapat diprediksi meninggal atau tidak.
     '''
+    markdown_text = '''
+    ## Variable Descriptions
+    | Variable                | Description                                                                                   |
+    |-------------------------|-----------------------------------------------------------------------------------------------|
+    | age                     | Age of the patient in years.                                                                 |
+    | anaemia                 | Whether the patient has anemia or not. (1=True, 0=False)                                      |
+    | creatinine_phosphokinase| Level of the enzyme creatinine phosphokinase in the patient's blood in units (mcg/L).         |
+    | diabetes                | Whether the patient has diabetes or not. (1=True, 0=False)                                    |
+    | ejection_fraction       | Percentage of blood volume ejected from the heart during each contraction.                    |
+    | high_blood_pressure     | Whether the patient has high blood pressure or not. (1=True, 0=False)                         |
+    | platelets               | Level of platelets in the patient's blood in units (kiloplatelets/mL).                         |
+    | serum_creatinine        | Level of creatinine in the patient's blood in units (mg/dL).                                  |
+    | serum_sodium            | Level of sodium in the patient's blood in units (mEq/L).                                      |
+    | sex                     | Gender of the patient. (0=Male, 1=Female)                                                     |
+    | smoking                 | Whether the patient smokes or not. (1=True, 0=False)                                          |
+    | time                    | Follow-up period in days.                                                                     |
+    | DEATH_EVENT             | Indicator of whether the patient experienced a death event or not. (1=True, 0=False)           |
+    '''
+
+    st.markdown(markdown_text)
     st.markdown('---')
+
+
     st.subheader('Explorasi Data')
     st.markdown('---')
 
@@ -50,5 +72,21 @@ def run():
     sns.histplot(data[choice], bins=30, kde=True)
     st.pyplot(fig)
 
+    # visual 2
+     ## Categorical Data Plot
+    st.write('### Categorical Data Ratio')
+    pilihan_kategori = st.selectbox('Pick Categorical Column : ', ('anaemia', 'diabetes', 'high_blood_pressure', 
+                                                                   'sex', 'smoking'))
+
+    fig= plt.figure(figsize=(8, 6))
+    sns.countplot(data=data, x=pilihan_kategori, hue='DEATH_EVENT', palette=['limegreen', 'firebrick'])
+
+    plt.xlabel(pilihan_kategori.capitalize())
+    plt.ylabel('Count')
+    plt.title(pilihan_kategori.capitalize()+' Ratio')
+    plt.legend(title='DEATH_EVENT')
+
+    st.pyplot(fig)
+
 if __name__ == '__main__':
     run()

prediction.py

@@ -78,6 +78,10 @@ def run():
                     'smoking': smoking,
                     'time': time,
                 }
+        
+        st.markdown('Jika Hasil Prediksi = 1, maka model memprediksi bahwa pasien akan meninggal.')
+        st.markdown('Jika Hasil Prediksi = 1, maka model memprediksi bahwa pasien akan meninggal.')
+        
 
         data_inf = pd.DataFrame([data_inf])
         st.dataframe(data_inf)
@@ -98,6 +102,5 @@ def run():
 
             st.write('Prediction: ', (y_pred_inf))
 
-
     if __name__ == '__main__':
         run()