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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 | |
| from PIL import Image | |
| def run() : | |
| # Membuat Sub Header | |
| st.title('**EDA Churn Customer**') | |
| st.write('~ P2M1-Desti Ratna Komala-RMT-020') | |
| #menambahkan Gambar | |
| image = Image.open('image_pred.jpg') | |
| st.image(image, caption='churn.jpg') | |
| # Import df | |
| df_eda = pd.read_csv('https://raw.githubusercontent.com/destiratnakomala/Hacktiv8_Folder/main/churn.csv') | |
| #membuat garis lurus | |
| st.markdown('-----') | |
| #magic syntax | |
| ''' | |
| Pada page ini, akan dilakukan ekplorasi dataset sederhana. | |
| Berikut adalah dataset Customer Churn yang digunakan | |
| ''' | |
| #membuat title | |
| st.subheader('Customer Churn EDA') | |
| # Import df | |
| df = pd.read_csv('https://raw.githubusercontent.com/destiratnakomala/Hacktiv8_Folder/main/churn.csv') | |
| st.dataframe(df) | |
| st.write('Dari visualisasi dibawah dapat disimpulkan bahwa :') | |
| st.markdown('- *Customer* yang *churn* lebih banyak dari pada *customer* yang tidak *churn*') | |
| #membuat garis lurus | |
| st.markdown('-----') | |
| pilihanuser=st.selectbox('Pilih Feature:', ('gender', 'region_category', 'membership_category', 'joined_through_referral', 'preferred_offer_types', 'medium_of_operation', 'internet_option', 'used_special_discount', 'offer_application_preference', 'past_complaint', 'complaint_status', 'feedback')) | |
| #-------------------------------------------- | |
| fig, ax =plt.subplots(1,3,figsize=(25,8)) | |
| fig.suptitle(f'{pilihanuser} terhadap Customer Churn', fontsize=17, fontweight='bold') | |
| #visualisasikan data | |
| plt.subplot(1,3,1) | |
| plt.title(f'{pilihanuser} terhadap Customer Churn', fontsize=14) | |
| ax = sns.countplot(data = df, x = df[pilihanuser], hue="churn_risk_score", palette = 'pastel') | |
| plt.ylabel("#churn", fontsize= 14) | |
| plt.xticks(rotation=90) | |
| plt.legend(loc=0) | |
| plt.subplot(1,3,2) | |
| plt.title(f'{pilihanuser} terhadap %Customer Churn', fontsize=12) | |
| ax = sns.barplot(x = df[pilihanuser], y = "churn_risk_score", data = df, palette = sns.color_palette('pastel')[1:2], errorbar= None) | |
| plt.ylabel("%Churn", fontsize= 14) | |
| plt.xticks(rotation=90) | |
| for p in ax.patches: | |
| ax.annotate("%.2f" %(p.get_height()), (p.get_x()+0.3, p.get_height()+0.005),fontsize=12) | |
| plt.subplot(1,3,3) | |
| round(df[pilihanuser].value_counts()/df.shape[0]*500,2).plot.pie(autopct= '%1.1f%%',colors=sns.color_palette('pastel')[0:10],shadow=True, legend=None) | |
| plt.ylabel("") | |
| plt.xticks(rotation=45) | |
| plt.title(pilihanuser, fontsize=14) | |
| st.pyplot(fig) | |
| st.markdown('-----') | |
| fig=plt.figure(figsize=(15, 5)) | |
| pilihanuser2=st.selectbox('Pilih Feature Numerik:',('age','days_since_last_login', 'avg_time_spent','avg_transaction_value', 'avg_frequency_login_days', 'points_in_wallet')) | |
| plt.subplot(1,2,1) | |
| sns.distplot(df[pilihanuser2]) | |
| plt.ticklabel_format(style='plain', axis='x') | |
| plt.ylabel('') | |
| plt.subplot(1,2,2) | |
| sns.kdeplot(df.loc[(df['churn_risk_score'] == 0), pilihanuser2], label = 'not_churn', fill = True) | |
| sns.kdeplot(df.loc[(df['churn_risk_score'] == 1), pilihanuser2], label = 'churn', fill = True) | |
| plt.ylabel('') | |
| plt.legend() | |
| st.pyplot(fig) | |
| #membuat garis lurus | |
| st.markdown('-----') | |
| if __name__ == '__main__': | |
| run() |