Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import random
+import plotly.graph_objects as go
+import plotly.express as px
+
+# Define the states and conditions of interest
+states = ["Minnesota", "Florida", "California"]
+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}
+]
+
+# Create a DataFrame from the list dictionary
+df_top_conditions = pd.DataFrame(health_conditions)
+
+# Define the reroll function
+def reroll():
+    # Randomly select a health condition from the top 10
+    index = random.randint(0, 9)
+    condition = df_top_conditions.loc[index, "condition"]
+    emoji = df_top_conditions.loc[index, "emoji"]
+    spending = df_top_conditions.loc[index, "spending"]
+    # Print the condition and ask the user if they want to reroll
+    st.write(f"You rolled: {emoji} {condition} (spending: ${spending}B)")
+    reroll = st.button("Reroll")
+    # If the user clicks the reroll button, call the reroll function again
+    if reroll:
+        reroll()
+
+# Create the map graph using Plotly Express
+fig_map = px.choropleth(locations=["CA", "FL", "MN"], locationmode="USA-states", color=[1, 2, 3], 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