Rahardiansyah/first-machine-learning

1import streamlit as st2from PIL import Image3import pandas as pd4import matplotlib.pyplot as plt5import seaborn as sns6 7def run():8    st.title("My first app")9    st.write("test")10    st.write("# test")11 12    gbr = Image.open('snoopie.jpg')13    st.image(gbr)14 15    df = pd.read_csv('https://raw.githubusercontent.com/FTDS-learning-materials/phase-1/master/w1/P1W1D1PM%20-%20Machine%20Learning%20Problem%20Framing.csv')16 17    st.dataframe(df)18 19    st.line_chart(df['Overall'])20 21    fig = plt.figure(figsize=(15,5))22    sns.boxplot(x=df['Overall'],data=df)23    st.pyplot(fig)24 25    st.bar_chart(df['AttackingWorkRate'].value_counts())26 27    st.write('#box plot option')28    option = st.selectbox('Pilih kolom: ', ('Age', 'Height', 'Weight', 'ValueEUR'))29    fig = plt.figure(figsize=(15,5))30    sns.boxplot(x=df[option],data=df)31    st.pyplot(fig)32    33if __name__ == "__main__":34    run()