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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() |