|
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(): |
|
|
|
st.title('FIFA 2022 Player Rating Prediction') |
|
|
|
|
|
st.subheader('Eda untuk Analisis Dataset FIFA 2022') |
|
|
|
|
|
|
|
st.image('https://cdn.pixabay.com/photo/2016/06/22/08/40/cow-1472655_1280.png', caption='SAPI') |
|
|
|
st.image('gambar1.png') |
|
|
|
|
|
st.write('Page ini dibuat oleh Kumala Chann') |
|
st.write('# Halo') |
|
st.write('## Halo') |
|
st.write('### Halo') |
|
|
|
|
|
st.markdown('---') |
|
|
|
|
|
''' |
|
Pada page kali ini penulis akan melakukan eksplorasi sederhana, |
|
dataset yang digunakan adalah dataset FIFA 2022. |
|
Dataset ini berasal dari web sofifa.com |
|
''' |
|
|
|
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) |
|
|
|
|
|
st.write('### Plot AttackingWorkRate') |
|
fig = plt.figure(figsize=(15,5)) |
|
sns.countplot(x='AttackingWorkRate', data=df) |
|
st.pyplot(fig) |
|
st.write('Ini analisisnya') |
|
|
|
|
|
st.write('### Histogram Berdasarkan Overall') |
|
fig = plt.figure(figsize=(15,5)) |
|
sns.histplot(df['Overall'], bins=30, kde=True) |
|
st.pyplot(fig) |
|
|
|
|
|
st.write('### Histogram Berdasarkan Input User') |
|
pilihan = st.selectbox('Pilih kolom: ', ('Age','Weight','Height','ShootingTotal')) |
|
fig = plt.figure(figsize=(15,5)) |
|
sns.histplot(df[pilihan], bins=30, kde=True) |
|
st.pyplot(fig) |
|
|
|
if pilihan == 'Height': |
|
st.write('Kolom height sangat skew') |
|
elif pilihan == 'Weight': |
|
st.write('Kolom weight sangat skew') |
|
elif pilihan == 'Age': |
|
st.write('Kolom age sangat skew') |
|
else: |
|
st.write('Kolom shooting total sangat skew') |
|
|
|
|
|
st.write('### Plotly Plot - ValueEUR dengan Overall') |
|
fig = px.scatter(df, x='ValueEUR', y='Overall',hover_data=['Name','Age']) |
|
st.plotly_chart(fig) |
|
|
|
|
|
if __name__ == '__main__': |
|
run() |
|
|