app.py

import streamlit as st
import geopandas as gpd
import matplotlib.pyplot as plt

# Function to plot the map with labels
def plot_map():
    us_map = gpd.read_file('path_to_shapefile.shp')
    corporations_data = {
        'Minnesota': [('CorpA', 100), ('CorpB', 50)],
        'California': [('TechCorp', 300), ('HealthCorp', 200)],
        # Add more states and corporations as needed
    }
    us_map.plot()
    for state, data in corporations_data.items():
        geometry = us_map[us_map['STATE_NAME'] == state].geometry.iloc[0]
        centroid = geometry.centroid
        for i, (corp, revenue) in enumerate(data):
            plt.text(centroid.x, centroid.y - i * 0.1, f'{corp}: ${revenue}B', fontsize=10)
    plt.axis('off')
    plt.show()

# Streamlit app
st.title('Top Corporations by State in the United States')
st.write('This map shows the top 2 corporations in each state with their revenue in billions of dollars for 2021.')
plot_map()