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import streamlit as st
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import plotly.express as px
def run():
#Membuat title
st.title('Credit Default Predictor - Exploratory Data Analysis')
#Membuat subheader
st.subheader('Exploratory Data Analysis of the model Credit Default Predictor')
#Membuat garis
st.markdown('----')
#Masukkan pandas dataframe
#Show dataframe
df = pd.read_csv('https://raw.githubusercontent.com/AdeWT/AdeWT-Hacktiv8-things/main/BigQuery_credit_card_default_27_12_2023.csv')
st.dataframe(df)
#Membuat bar plot
st.write('### Spread of default and non-default in the dataset')
fig = plt.figure(figsize=(15,5))
sns.countplot(x='default_payment_next_month', data = df)
st.pyplot(fig)
#Membuat histogram
st.write('### Distribution plot of limit balance')
fig = plt.figure(figsize=(15,5))
sns.histplot(df['limit_balance'], bins = 30, kde = True)
st.pyplot(fig)
#tambah penjelas
#membuat histogram berdasarkan inputan user
st.write('### Choose which data to see spread of')
option = st.selectbox('Choose data : ', ('sex', 'education_level', 'marital_status'))
fig = plt.figure(figsize= (15,5))
sns.countplot(x=option, data=df)
st.pyplot(fig)
st.write(f'#### sex = 1 is male, 2 is female')
st.write('#### education_level =')
st.write('#### 1 is graduate school')
st.write('#### 2 is university')
st.write('#### 3 is high school')
st.write('#### 4 is others')
st.write('#### 5 and 6 are unknown')
st.write('#### marital_status =')
st.write('#### 1 is married')
st.write('#### 2 is single')
st.write('#### 3 is others')
#Membuat Plotly plot
st.write('### Plotly Plot - Education Level on Default Payment Next Month')
fig = px.scatter(df, x = 'education_level', y = 'default_payment_next_month', hover_data = ['limit_balance',
'education_level',
'marital_status',
'age'])
st.plotly_chart(fig)
st.write('#### 1 is default while 0 is no default')
if __name__ == '__main__':
run() |