Update app.py

app.py

@@ -73,5 +73,55 @@ def app():
             file.write(f'Tip' + ': {tip} {emoji}\nLife points: 10\n')
         st.success('Tip submitted!')
 
+
+import streamlit as st
+import pandas as pd
+import plotly.graph_objects as go
+import plotly.express as px
+
+# Define the states and conditions of interest
+states = ["Minnesota", "Florida", "California", "Washington", "Maine", "Texas"]
+top_n = 10
+
+# Define the list dictionary of top 10 health conditions descending by cost, with emojis
+health_conditions = [
+    {"condition": "💔 Heart disease", "emoji": "💗", "spending": 214.3},
+    {"condition": "🤕 Trauma-related disorders", "emoji": "🚑", "spending": 198.6},
+    {"condition": "🦀 Cancer", "emoji": "🎗️", "spending": 171.0},
+    {"condition": "🧠 Mental disorders", "emoji": "🧘", "spending": 150.8},
+    {"condition": "🦴 Osteoarthritis and joint disorders", "emoji": "🏥", "spending": 142.4},
+    {"condition": "💉 Diabetes", "emoji": "🩸", "spending": 107.4},
+    {"condition": "🫁 Chronic obstructive pulmonary disease and asthma", "emoji": "🫀", "spending": 91.0},
+    {"condition": "🩺 Hypertension", "emoji": "💉", "spending": 83.9},
+    {"condition": "🔬 Hyperlipidemia", "emoji": "🔬", "spending": 83.9},
+    {"condition": "🦴 Back problems", "emoji": "🧍", "spending": 67.0}
+]
+
+# Total the spending values
+total_spending = sum([hc["spending"] for hc in health_conditions])
+
+# Create a DataFrame from the list dictionary
+df_top_conditions = pd.DataFrame(health_conditions)
+
+# Create the map graph using Plotly Express
+locations = ["CA", "FL", "MN", "WA", "ME", "TX"]
+fig_map = px.choropleth(locations=locations, locationmode="USA-states", color=[1, 2, 3, 4, 5, 6], scope="usa")
+fig_map.update_layout(geo=dict(bgcolor= "rgba(0, 0, 0, 0)", lakecolor="rgb(255, 255, 255)"))
+
+# Create the bar chart using Plotly Graph Objects
+fig_bar = go.Figure(go.Bar(x=df_top_conditions["emoji"] + " " + df_top_conditions["condition"], y=df_top_conditions["spending"], marker_color="#1f77b4"))
+fig_bar.update_layout(title=f"Top {top_n} Health Conditions in {', '.join(states)} by Spending (Total: ${total_spending}B)",
+                      yaxis_title="Spending ($B)", plot_bgcolor='rgba(0,0,0,0)', xaxis=dict(showgrid=False), yaxis=dict(showgrid=False))
+
+# Display the map and the bar chart in Streamlit
+col1, col2 = st.columns([2, 1])
+with col1:
+    st.plotly_chart(fig_map, use_container_width=True)
+with col2:
+    st.plotly_chart(fig_bar, use_container_width=True)
+
 if __name__ == '__main__':
     app()
+
+
+