Create backup.app.py

backup.app.py

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+import streamlit as st
+import pandas as pd
+import plotly.express as px
+
+# Function to plot the map
+def plot_map(data):
+    fig = px.choropleth(data, locations='State', locationmode="USA-states", color='Revenue',
+                        scope="usa", title="Top Corporations by State in the United States",
+                        hover_name='Corporation', hover_data=['Revenue'])
+    return fig
+
+# Streamlit app
+st.title('Top Corporations by State in the United States')
+
+# Upload CSV
+uploaded_files = st.file_uploader("Choose a CSV file", accept_multiple_files=True, type="csv")
+
+# Display map button
+display_map_button = st.button('Display Map of CSV Data 🗺️')
+
+# If button is clicked, use uploaded files to generate maps or use the default CSV file
+if display_map_button:
+    if uploaded_files:
+        for uploaded_file in uploaded_files:
+            data = pd.read_csv(uploaded_file)
+            st.write(f"Map for {uploaded_file.name}")
+            st.plotly_chart(plot_map(data))
+    else:
+        # Use the default CSV file if no files are uploaded
+        data = pd.read_csv('corporations_data.csv')
+        st.plotly_chart(plot_map(data))