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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)) |