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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
# untuk lebarkan layout setelah import
st.set_page_config(
page_title = 'Hearth Failure',
layout = 'wide',
initial_sidebar_state='expanded'
)
def run():
# Membuat file
st.title( 'Death Prediction : Hearth Failure')
# Membuat sub header
st.subheader('EDA Hearth Failure')
# Menambahkan gambar
image = Image.open('hearth attack.jpg')
st.image(image, caption='Hearth Failure')
# Menambahkan deskripsi
st.write('Page ini merupakan hasil EDA dari dataset Hearth Failure')
# show data frame
df = pd.read_csv('https://raw.githubusercontent.com/mukhlishr/rasyidi/main/h8dsft_P1G3_mukhlish_rasyidi.csv')
st.dataframe(df)
# Membuat Barplot
st.write('###### Plot Death Event')
fig=plt.figure(figsize=(15,5))
sns.countplot(x='DEATH_EVENT', data = df)
st.pyplot(fig)
# Membuat histogram
st.write('##### Histogram of Age')
fig = plt.figure(figsize=(15,5))
sns.histplot(df['age'], bins=30, kde=True)
st.pyplot(fig)
if __name__ == '__main__':
run() |