Upload eda.py

eda.py

@@ -1,17 +1,22 @@
+# import libraries
 import streamlit as st
 import pandas as pd
 import matplotlib.pyplot as plt
 
+# set page title
 st.set_page_config(
     page_title = 'GC5'
 )
 
+# make function to convert text to correlating digit
 def default_id(i):
+    # make condition
     if i == 'Default':
         return 1
     else:
         return 0
 
+# make function run()
 def run():
     # make title
     st.title('Credit Card Data EDA')
@@ -222,5 +227,6 @@ def run():
     # show insight
     st.write('From the pie charts, it can be understood that the average bill statement in each month for customers whose payment status is default and non-default are quite similar. In 5 months, the average bill statement gradually rose. Both default and non-default customers have highest average bill statement in September 2005. So, it can be concluded that ***there are no significant difference in average bill statement between customers whose payment status is default and non-default***. Other than that, it was found that ***as time goes by, the average bill statement tends to increase***.')
 
+# execute file
 if __name__=='__main__':
     run()