app.py

import streamlit as st
import pandas as pd
import plotly.express as px

# Define the data
data = pd.DataFrame({
    'Illness': ['Anxiety', 'Depression', 'Diabetes', 'Heart Disease'],
    'Cost (Billion USD)': [42, 210, 327, 219]
})

# Define the sunburst plot
fig = px.sunburst(
    data,
    path=['Illness'],
    values='Cost (Billion USD)',
    color='Cost (Billion USD)',
    color_continuous_scale='reds'
)

# Define the Streamlit app
st.title('Cost of Illnesses in Billion USD per Year')
st.plotly_chart(fig, use_container_width=True)




# Define the data
data = pd.DataFrame({
    'Illness': ['Anxiety 😰', 'Depression 😔', 'Diabetes 🩸', 'Heart Disease 💔'],
    'SNOMED': ['35398006', '35489007', '73211009', '53741008'],
    'CPT Code': ['90834, 90837, 90847', '90785, 90832, 90834', '82947, 82948, 82950', '93000, 93010, 93015'],
    'ICD10': ['F41.1', 'F32.9', 'E11.9', 'I50.9'],
    'LOINC': ['59284-0', '72166-2', '4548-4', '8616-5']
})

# Define the Streamlit app
st.title('Codes for Illnesses')
st.table(data)