Create app.py

app.py

@@ -0,0 +1,70 @@
+import streamlit as st
+import pandas as pd
+
+# Title and Description
+st.title('Operational Cash Flow Analysis')
+st.write("""
+This application allows you to analyze and visualize your company's operational cash flow.
+""")
+
+# Data Input Section
+st.header('Input Financial Data')
+
+# Input fields for financial data
+net_income = st.number_input('Net Income', value=0)
+depreciation = st.number_input('Depreciation and Amortization', value=0)
+change_ar = st.number_input('Change in Accounts Receivable', value=0)
+change_inventory = st.number_input('Change in Inventory', value=0)
+change_ap = st.number_input('Change in Accounts Payable', value=0)
+
+# Calculating Operational Cash Flow
+ocf = net_income + depreciation - change_ar - change_inventory + change_ap
+
+# Displaying the result
+st.subheader('Calculated Operational Cash Flow')
+st.write(f'Operational Cash Flow: ${ocf}')
+
+# DataFrame for historical data visualization (example data)
+data = {
+    'Year': ['2020', '2021', '2022'],
+    'Net Income': [100000, 120000, 130000],
+    'Depreciation and Amortization': [20000, 25000, 27000],
+    'Change in AR': [-5000, -6000, -5500],
+    'Change in Inventory': [-8000, -7500, -9000],
+    'Change in AP': [7000, 8500, 9000],
+    'Operational Cash Flow': [114000, 137500, 149500]
+}
+df = pd.DataFrame(data)
+
+# Display the historical data table
+st.subheader('Historical Data')
+st.dataframe(df)
+
+# Visualize the historical operational cash flow
+st.subheader('Operational Cash Flow Over Years')
+st.line_chart(df[['Year', 'Operational Cash Flow']].set_index('Year'))
+
+# Scenario Analysis Section
+st.header('Scenario Analysis')
+
+# Interactive widgets for scenario analysis
+new_net_income = st.slider('New Net Income', min_value=0, max_value=200000, value=net_income)
+new_depreciation = st.slider('New Depreciation and Amortization', min_value=0, max_value=50000, value=depreciation)
+new_change_ar = st.slider('New Change in Accounts Receivable', min_value=-10000, max_value=10000, value=change_ar)
+new_change_inventory = st.slider('New Change in Inventory', min_value=-15000, max_value=15000, value=change_inventory)
+new_change_ap = st.slider('New Change in Accounts Payable', min_value=-10000, max_value=10000, value=change_ap)
+
+# Recalculate OCF based on new inputs
+new_ocf = new_net_income + new_depreciation - new_change_ar - new_change_inventory + new_change_ap
+
+# Display the new result
+st.subheader('Scenario Analysis Result')
+st.write(f'New Operational Cash Flow: ${new_ocf}')
+
+# Button to download data as CSV
+st.download_button(
+    label="Download Data as CSV",
+    data=df.to_csv().encode('utf-8'),
+    file_name='operational_cash_flow.csv',
+    mime='text/csv',
+)