eda.py

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

def run():
  st.title('Apliklasi Prediksi Rating Pemain FIFA 2022')
  st.subheader('Page mengenai eksploratory data analysis dari data set FIFA 2022')

  image = Image.open('image_balls.jpg')
  st.image(image, caption='FIFA 2022')

  st.write('Hello world! Ini Agung')
  st.write('# Title 1')
  st.write('## Title 2')
  st.write('### Title 3')

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

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

  # Membuat histogram berdasarkan input user
  st.write('### Histogram berdasarkan input user')
  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 plot menggunakan plotly
  st.write('### Perbandingan antara ValueEUR dengan Overall')
  fig = px.scatter(df, x='ValueEUR', y='Overall', hover_data=['Name', 'Age'])
  st.plotly_chart(fig)



if __name__ == '__main__':
  run()