Create app.py

app.py

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+import streamlit as st
+import plotly.express as px
+import pandas as pd
+
+# Load the data
+df = pd.read_csv("health_conditions_data.csv")
+
+# Define the states and conditions of interest
+states = ["Minnesota", "Florida", "California"]
+top_n = 10
+
+# Filter the data by the selected states and get the top n conditions
+df_filtered = df[df["state"].isin(states)]
+df_top_conditions = df_filtered.groupby("condition")["count"].sum().nlargest(top_n)
+
+# Create the treemap graph using Plotly Express
+fig = px.treemap(df_top_conditions, path=["condition"], values="count")
+
+# Set the title of the graph
+fig.update_layout(title="Top 10 Health Conditions in {} by Count".format(", ".join(states)))
+
+# Display the graph in Streamlit
+st.plotly_chart(fig)