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 = 'Death Prediction'
)

def run():

    # Membuat Title 
    st.title('Death Prediction Simulator')

    #Sub header 
    st.subheader('EDA untuk analisa Dataset Death Prediction') 

    # Insert Gambar 
    #image = Image.open('')
    #st.image(image, caption ='Death Prediction')

    # Menambahkan Deskripsi 
    st.write('Page ini dibuat oleh Ferdiansyah Ersatiyo')

    st.markdown('---')


    #show dataframe 
    data = pd.read_csv('https://raw.githubusercontent.com/FerdiErs/SQL/main/h8dsft_P1G3_Ferdiansyah_Ersatiyo.csv')
    st.dataframe(data)

    #membuat barplot jenis kelamin
    st.write('### Plot Sex')
    fig = plt.figure(figsize=(10,5))
    ax = sns.countplot(x='sex', data=data, palette=['b', 'r'])
    ax.bar_label(ax.containers[0])
    st.pyplot(fig)

    #membuat histogram umur 
    st.write('### Histogram Umur')
    fig = plt.figure(figsize=(10,5))
    sns.histplot(data['age'],bins=20,kde=True)
    st.pyplot(fig)

    #membuat pie chart 
    st.write('### Pie Chart Smoking')
    a= data.smoking.value_counts()
    def autopct_format(values):
            def my_format(pct):
                total = sum(values)
                val = int(round(pct*total/100.0))
                return '{:.1f}%\n({v:d})'.format(pct, v=val)
            return my_format
    fig = plt.figure(figsize=(5,5))
    a.plot.pie(subplots=True, autopct=autopct_format(a))
    st.pyplot(fig)

    # Membuat Histogram berdasarkan input user 
    st.write('### Histogram berdasarkan input user')
    pilihan = st.selectbox('pilih column : ',['sex','smoking','diabetes', 'anaemia','high_blood_pressure'])
    fig = plt.figure(figsize=(10,5))
    ax = sns.countplot(x=data[pilihan])
    ax.bar_label(ax.containers[0])
    st.pyplot(fig)

if __name__== '__main__':
    run()