app.py

import streamlit as st
import pandas as pd
import plotly.express as px
import csv
import base64

# Default data for top two corporations per state
states = [
    "Alabama", "Alaska", "Arizona", "Arkansas", "California", "Colorado",
    "Connecticut", "Delaware", "Florida", "Georgia", "Hawaii", "Idaho",
    "Illinois", "Indiana", "Iowa", "Kansas", "Kentucky", "Louisiana",
    "Maine", "Maryland", "Massachusetts", "Michigan", "Minnesota",
    "Mississippi", "Missouri", "Montana", "Nebraska", "Nevada",
    "New Hampshire", "New Jersey", "New Mexico", "New York",
    "North Carolina", "North Dakota", "Ohio", "Oklahoma", "Oregon",
    "Pennsylvania", "Rhode Island", "South Carolina", "South Dakota",
    "Tennessee", "Texas", "Utah", "Vermont", "Virginia", "Washington",
    "West Virginia", "Wisconsin", "Wyoming"
]

corporations_data = []
for state in states:
    corporations_data.append((state, f'{state}Corp1', 100))
    corporations_data.append((state, f'{state}Corp2', 50))

# Function to plot the map
def plot_map(data):
    fig = px.choropleth(locations=data['State'], locationmode="USA-states", color=data['Revenue'],
                        scope="usa", title="Top Corporations by State in the United States",
                        hover_name=data['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
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 default data if no files are uploaded
        data = pd.DataFrame(corporations_data, columns=['State', 'Corporation', 'Revenue'])
        st.plotly_chart(plot_map(data))