Update eda.py

eda.py

@@ -6,7 +6,7 @@ import plotly.express as px
 from PIL import Image
 
 st.set_page_config(
-    page_title= 'FIFA 2022',
+    page_title= 'EDA',
     layout='wide',
     initial_sidebar_state='expanded'
 )
@@ -24,9 +24,8 @@ st.markdown(hide_streamlit_style, unsafe_allow_html=True)
 
 def run():
     
-    st.title('Heart Failure Prediction')
-    # st.subheader('Heart Failure Prediction Exploratory Data Analysis')
-    # #Show Dataframe
+    st.title('EDA')
+
     d = pd.read_csv('hotel_bookings.csv')
 
     fig, ax = plt.subplots(nrows=2, ncols=2, figsize=(15, 10))
@@ -106,15 +105,7 @@ def run():
     plt.tight_layout()
     
     st.pyplot()
-    
-    # st.write('#### scatterplot berdasarkan Input User')
-    # pilihan1 = st.selectbox('Pilih column : ', ('age', 'creatinine_phosphokinase','ejection_fraction', 'platelets','serum_creatinine', 'serum_sodium', 'time'),key=1)
-    # pilihan2 = st.selectbox('Pilih column : ', ('age', 'creatinine_phosphokinase','ejection_fraction', 'platelets','serum_creatinine', 'serum_sodium', 'time'),key=2)
-    # pilihan3 = st.selectbox('Pilih column : ', ('anaemia', 'diabetes','high_blood_pressure', 'sex','smoking', 'DEATH_EVENT'),key=3)
-    # fig = plt.figure(figsize=(15, 5))
-    # sns.scatterplot(data=d,x=d[pilihan1],y=d[pilihan2],hue=d[pilihan3])
-    # st.pyplot(fig)
-    
+        
 
 if __name__ == '__main__':
     run()