eda.py

import streamlit as st
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import plotly.express as px
from PIL import Image

st.set_page_config(
    page_title= 'FIFA 2022',
    layout='wide',
    initial_sidebar_state='expanded'
)

hide_streamlit_style = """
            <style>
            #MainMenu {visibility: hidden;}
            footer {visibility: hidden;}
            </style>
            """
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
    d = pd.read_csv('hotel_bookings.csv')
    fig, ax = plt.subplots(nrows=2, ncols=2, figsize=(12, 10))

    sns.histplot(data=d, x='lead_time', hue='hotel', multiple='stack', bins=20, ax=ax[0, 0], palette='Set1')
    axes[0, 0].set_title("Booking Behavior by Hotel Type (Lead Time)")

    sns.barplot(data=d, x='hotel', y='is_canceled', ax=ax[0, 1], palette='Set1')
    axes[0, 1].set_title("Cancellation Rate by Hotel Type")

    sns.countplot(data=d, x='booking_changes', hue='hotel', ax=ax[1, 0], palette='Set1')
    axes[1, 0].set_title("Booking Changes by Hotel Type")

    sns.countplot(data=d, x='hotel', ax=ax[1, 1], palette='Set1')
    axes[1, 1].set_title("Total Bookings by Hotel Type")


    plt.tight_layout()

    plt.show()
    # 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()