Create backupapp.py

backupapp.py

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+import streamlit as st
+import csv
+import base64
+
+# Define the state populations and family sizes
+state_data = {
+    'California': {'population': 39538223, 'family_size': 3.3},
+    'Texas': {'population': 29145505, 'family_size': 3.4},
+    'Florida': {'population': 21538187, 'family_size': 3.0},
+    'New York': {'population': 19849399, 'family_size': 3.1},
+    'Minnesota': {'population': 5700671, 'family_size': 2.5},
+    'Wisconsin': {'population': 5897473, 'family_size': 2.6},
+}
+
+# Define the state spending data
+spending_data = {
+    'California': {'education': 2500, 'healthcare': 3000, 'transportation': 1500},
+    'Texas': {'education': 2000, 'healthcare': 2500, 'transportation': 1000},
+    'Florida': {'education': 1500, 'healthcare': 2000, 'transportation': 750},
+    'New York': {'education': 3000, 'healthcare': 3500, 'transportation': 2000},
+    'Minnesota': {'education': 1000, 'healthcare': 1500, 'transportation': 500},
+    'Wisconsin': {'education': 1250, 'healthcare': 1750, 'transportation': 750},
+}
+
+# Define the emoji icons
+POPULATION_ICON = '👥'
+FAMILY_SIZE_ICON = '👨‍👩‍👧‍👦'
+EDUCATION_ICON = '🏫'
+HEALTHCARE_ICON = '🏥'
+TRANSPORTATION_ICON = '🚗'
+
+def main():
+    st.title('State Comparison')
+
+    # Consolidate the state data and spending data into a list of dictionaries
+    state_list = []
+    for state, data in state_data.items():
+        state_dict = {
+            'state': state,
+            'population': data['population'],
+            'family_size': data['family_size'],
+            'education_spending': spending_data[state]['education'],
+            'healthcare_spending': spending_data[state]['healthcare'],
+            'transportation_spending': spending_data[state]['transportation']
+        }
+        state_list.append(state_dict)
+
+    # Save the data to a CSV file and provide a download link
+    with open('state_data.csv', mode='w', newline='') as file:
+        writer = csv.DictWriter(file, fieldnames=['state', 'population', 'family_size', 'education_spending', 'healthcare_spending', 'transportation_spending'])
+        writer.writeheader()
+        for state in state_list:
+            writer.writerow(state)
+    with open('state_data.csv', mode='rb') as file:
+        b64 = base64.b64encode(file.read()).decode('utf-8')
+    st.markdown(f'<a href="data:file/csv;base64,{b64}" download="state_data.csv">Download State Data CSV File</a>', unsafe_allow_html=True)
+
+    # Display state populations and family sizes
+    st.header('Population and Family Size')
+    for state, data in state_data.items():
+        st.subheader(f'{POPULATION_ICON} {state}')
+    st.write(f'Population: {data["population"]}')
+    st.write(f'Family Size: {data["family_size"]}')
+
+# Display state spending data
+st.header('State Spending')
+for state, data in spending_data.items():
+    st.subheader(state)
+    st.write(f'{EDUCATION_ICON} Education: {data["education"]}')
+    st.write(f'{HEALTHCARE_ICON} Healthcare: {data["healthcare"]}')
+    st.write(f'{TRANSPORTATION_ICON} Transportation: {data["transportation"]}')