Upload EDA_M2_dandy.py

EDA_M2_dandy.py

@@ -105,14 +105,14 @@ def run():
     From the chart, it can be seen that 20.4% or 2037 people will churn or leave, while 79.6% or 7963 people will not churn or not leave.
     ''')
 
-    st.subheader('1. Country Distribution')
+    st.subheader('Country Distribution')
     # Calculate country counts
     country_counts = df['country'].value_counts(normalize=True)
     labels = country_counts.index
     sizes = country_counts.values
 
     # Create a pie chart with specified figsize
-    fig, ax = plt.subplots(figsize=(25, 8))
+    fig, ax = plt.subplots(figsize=(20, 8))
     ax.pie(sizes, labels=labels, autopct='%.1f%%', startangle=90)
     ax.set_title('Countries')
     ax.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.
@@ -120,7 +120,7 @@ def run():
     # Display the pie chart using Streamlit
     st.pyplot(fig)
     st.write('''
-    Dari Pie chart terlihat bahwa France mendominasi data dengan 50.1% dilanjutkan dengan Germany dengan 25.1 dan Spain 24.8%.
+    From the Pie chart it can be seen that France dominates the data with 50.1% followed by Germany with 25.1 and Spain 24.8%.
     ''')
        
     # create straight line
@@ -181,6 +181,9 @@ def run():
     st.write(''' 
     There is no significant correlation between variable to target.
     ''')
+    ''' 
+    There is no significant correlation between variable to target.
+    '''
 
 if __name__ == '__main__':
     run()