eda1.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

def run():
    #Membuat title
    st.title('FIFA 2022 Player Rating Prediction')

    #Membuat subheader
    st.subheader('EDA untuk Analisa Dataset FIFA 2022')

    #Tambahkan gambar
    image = Image.open('bola.jpg')
    st.image(image, caption = 'FIFA 2022')

    #Menambahkan deskripsi
    st.write('Page ini dibuat oleh Bani')
    st.write('**Mardhya Malik**')
    st.write('*Mardhya Malik*')
    st.write('# Mardhya Malik')
    st.write('## Mardhya Malik')
    st.write('### Mardhya Malik')

    #Membuat garis
    st.markdown('----')

    #Masukkan pandas dataframe

    #Show dataframe
    df = pd.read_csv('https://raw.githubusercontent.com/FTDS-learning-materials/phase-1/master/w1/P1W1D1PM%20-%20Machine%20Learning%20Problem%20Framing.csv')
    st.dataframe(df)

    #Membuat bar plot
    st.write('#### Plot AttackingWorkRate')
    fig = plt.figure(figsize=(15,5))
    sns.countplot(x='AttackingWorkRate', data = df)
    st.pyplot(fig)

    #Membuat histogram
    st.write('#### Histogram of Rating')
    fig = plt.figure(figsize=(15,5))
    sns.histplot(df['Overall'], bins = 30, kde = True)
    st.pyplot(fig)

    #membuat histogram berdasarkan inputan user
    st.write('#### Histogram berdasarkan input user')
    #kalo mau pake radio button, ganti selectbox jadi radio
    option = st.selectbox('Pilih Column : ', ('Age', 'Weight', 'Height', 'ShootingTotal'))
    fig = plt.figure(figsize= (15,5))
    sns.histplot(df[option], bins = 30, kde = True)
    st.pyplot(fig)

    #Membuat Plotly plot

    st.write('#### Plotly Plot - ValueEUR vs Overall')
    fig = px.scatter(df, x = 'ValueEUR', y = 'Overall', hover_data = ['Name', 'Age'])
    st.plotly_chart(fig)

if __name__ == '__main__':
    run()