Create app.py

app.py

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+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()