Update app.py

app.py

@@ -1,5 +1,63 @@
 import pandas as pd
 import streamlit as st
-import numpy as np
+import plotly.express as px
 
-st.title('hhhh')
+
+st.set_page_config(page_title='Survey Results')
+st.header('Survey Results')
+st.subheader('the results of amount data')
+
+# load dataframe
+excel_file = 'complete_loan.xlsx'
+sheet_name = 'completedloan'
+
+df = pd.read_excel(excel_file,
+                   sheet_name=sheet_name,
+                   usecols='A:L',
+                   header=0)
+
+df_participants = pd.read_excel(excel_file,
+                                sheet_name=sheet_name,
+                                usecols='S:T',
+                                header=0)
+
+st.dataframe(df)
+
+pie_chart = px.pie(df_participants,
+                   title='Total Results',
+                   values= 'participant',
+                   names= 'purpose')
+
+st.plotly_chart(pie_chart)
+
+# streamlit selection
+tujuan = df['purpose'].unique().tolist()
+years = df['year'].unique().tolist()
+
+year_selection = st.slider('year:',
+                            min_value= min(years),
+                            max_value= max(years),
+                            value=(min(years), max(years)))
+
+purpose_selection = st.multiselect('purpose:',
+                                tujuan,
+                                default=tujuan)
+
+# filter selection
+mask = (df['year'].between(*year_selection)) & (df['purpose'].isin(purpose_selection))
+number_of_result = df[mask].shape[0]
+st.markdown(f'*The results: {number_of_result}*')
+
+# group data frame
+df_grouped = df[mask].groupby(by=['purpose']).count()[['year']]
+
+df_grouped = df_grouped.reset_index()
+
+# bar chart
+bar_chart = px.bar(df_grouped,
+                   x= 'purpose',
+                   y='year',
+                   text= 'purpose',
+                   color_discrete_sequence= ['black']*len(df_grouped),
+                   template='plotly_white')
+st.plotly_chart(bar_chart)