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import streamlit as st
import pandas as pd
import folium
from streamlit_folium import st_folium
# Data for each state
data = {
"MA": {
"Companies": [
{"Name": "Amazon (MA)", "Employees": 7000, "City": "Boston"},
{"Name": "MIT (Cambridge, MA)", "Employees": 6300, "City": "Cambridge"},
{"Name": "Fidelity Investments (Boston, MA)", "Employees": 5000, "City": "Boston"},
{"Name": "State Street Corporation (Boston, MA)", "Employees": 4000, "City": "Boston"},
{"Name": "Partners Healthcare System (Boston, MA)", "Employees": 3500, "City": "Boston"}
],
"Cities": [
{"Name": "Boston", "Population": 700000, "Income": 75000, "Latitude": 42.3601, "Longitude": -71.0589},
{"Name": "Cambridge", "Population": 120000, "Income": 85000, "Latitude": 42.3736, "Longitude": -71.1097},
# Add other cities...
],
"Hospitals": [
{"Name": "Massachusetts General Hospital", "Beds": 1000, "City": "Boston"},
# Add other hospitals...
]
},
# Add data for CA and WA...
}
# Streamlit page configuration
st.set_page_config(page_title="State Data", layout="wide")
# Main title
st.title("State Information Dashboard")
# Select a state
selected_state = st.selectbox("Select a State:", ["MA", "CA", "WA"])
# Process selected state data
companies_df = pd.DataFrame(data[selected_state]["Companies"])
cities_df = pd.DataFrame(data[selected_state]["Cities"])
hospitals_df = pd.DataFrame(data[selected_state]["Hospitals"])
# Display DataFrames
st.write("Companies:")
st.dataframe(companies_df)
st.write("Cities:")
st.dataframe(cities_df)
st.write("Hospitals:")
st.dataframe(hospitals_df)
# Create a Folium map for the selected state
m = folium.Map(location=[cities_df["Latitude"].mean(), cities_df["Longitude"].mean()], zoom_start=7)
# Add markers for cities, companies, and hospitals
for _, city in cities_df.iterrows():
folium.Marker([city["Latitude"], city["Longitude"]], tooltip=f"{city['Name']}").add_to(m)
for _, company in companies_df.iterrows():
# Find the city's coordinates
city = cities_df[cities_df["Name"] == company["City"]].iloc[0]
folium.Marker([city["Latitude"], city["Longitude"]], tooltip=f"{company['Name']}").add_to(m)
for _, hospital in hospitals_df.iterrows():
# Find the city's coordinates
city = cities_df[cities_df["Name"] == hospital["City"]].iloc[0]
folium.Marker([city["Latitude"], city["Longitude"]], tooltip=f"{hospital['Name']}").add_to(m)
# Display the map
st_folium(m, width=700, height=500)
# Footer
st.caption("Data source: User provided")
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