Update app.py

app.py

@@ -2,6 +2,7 @@
 import pandas as pd
 import streamlit as st
 import matplotlib.pyplot as plt
+import pydeck as pdk
 
 # Create a dictionary of states with their region, population, and area
 states = {
@@ -104,4 +105,42 @@ for region, data in regions.items():
 
 # Use Streamlit to display dataframes
 for df in dataframes:
-    st.write(df)
+    st.write(df)
+
+
+
+
+# Add lat and lon to your states data
+states = {
+    'Alabama': {'region': 'South', 'population': 4903185, 'area': 135767, 'lat': 32.806671, 'lon': -86.791130},
+    'Alaska': {'region': 'West', 'population': 731545, 'area': 1723337, 'lat': 61.370716, 'lon': -152.404419},
+    # Continue for all states...
+}
+
+# Create dataframe from states data
+df = pd.DataFrame.from_dict(states, orient='index').reset_index()
+df.columns = ['State', 'Region', 'Population', 'Area', 'Latitude', 'Longitude']
+
+# Define initial viewport for the deckgl map
+view_state = pdk.ViewState(
+    longitude=-97.6,
+    latitude=38.5,
+    zoom=3,
+    pitch=50,
+)
+
+# Define deckgl layer
+layer = pdk.Layer(
+    "ScatterplotLayer",
+    data=df,
+    get_position='[Longitude, Latitude]',
+    get_radius='Population',
+    get_fill_color='[200, 30, 0, 160]',
+    pickable=True,
+    auto_highlight=True,
+)
+
+# Render the deckgl map in the Streamlit app
+st.pydeck_chart(pdk.Deck(layers=[layer], initial_view_state=view_state))
+
+