Code Editor for app.py

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

st.title("LGBT Population by State")

# Create sample data for LGBT population by state (2021 estimates)
data = {
    'State': [
        'California', 'New York', 'Florida', 'Texas', 'Washington',
        'Massachusetts', 'Illinois', 'Oregon', 'New Jersey', 'Colorado',
        'Georgia', 'Pennsylvania', 'Michigan', 'Virginia', 'Arizona',
        'Minnesota', 'Ohio', 'North Carolina', 'Nevada', 'Wisconsin',
        'Maryland', 'Connecticut', 'Hawaii', 'New Mexico', 'Rhode Island',
        'Delaware', 'New Hampshire', 'Vermont', 'Maine', 'Idaho',
        'Montana', 'Alaska', 'Wyoming', 'North Dakota', 'South Dakota',
        'Iowa', 'Nebraska', 'Kansas', 'Oklahoma', 'Arkansas',
        'Mississippi', 'Alabama', 'Louisiana', 'Tennessee', 'Kentucky',
        'West Virginia', 'Missouri', 'Indiana', 'South Carolina', 'Utah'
    ],
    'LGBT_Percentage': [
        5.3, 5.1, 4.6, 4.1, 5.2,
        5.4, 4.3, 5.6, 4.1, 4.6,
        4.5, 4.1, 4.2, 4.0, 4.5,
        4.1, 4.0, 4.0, 5.3, 4.0,
        4.2, 4.4, 4.6, 4.5, 4.5,
        4.5, 4.1, 5.2, 4.0, 3.3,
        3.5, 4.2, 3.3, 3.0, 3.0,
        3.6, 3.4, 3.5, 3.8, 3.3,
        3.1, 3.1, 3.9, 3.5, 3.4,
        3.1, 3.8, 3.9, 3.5, 3.7
    ]
}

df = pd.DataFrame(data)

# Create choropleth map
fig = px.choropleth(
    df,
    locations='State',
    locationmode='USA-states',
    color='LGBT_Percentage',
    scope='usa',
    color_continuous_scale='Viridis',
    title='Estimated LGBT Population Percentage by State (2021)',
    labels={'LGBT_Percentage': 'LGBT Population (%)'}
)

# Display the map
st.plotly_chart(fig, use_container_width=True)

# Display the data in a table
st.subheader("State-by-State LGBT Population Percentages")
sorted_df = df.sort_values('LGBT_Percentage', ascending=False)
st.table(sorted_df)

st.caption("Note: Data shown are estimates based on various surveys and studies. Actual percentages may vary.")