Added US census data app

app.py

@@ -1,6 +1,6 @@
 import streamlit as st
 from multiapp import MultiApp
-from apps import home, deck, housing, upload
+from apps import home, census, deck, housing, upload
 
 st.set_page_config(layout="wide")
 
@@ -9,7 +9,8 @@ apps = MultiApp()
 
 # Add all your application here
 
-apps.add_app("Real Estate", housing.app)
+apps.add_app("U.S. Real Estate", housing.app)
+apps.add_app("U.S. Census Data", census.app)
 apps.add_app("Upload Vector Data", upload.app)
 apps.add_app("Pydeck", deck.app)
 apps.add_app("Home", home.app)

apps/census.py

@@ -0,0 +1,35 @@
+import streamlit as st
+import leafmap.foliumap as leafmap
+
+
+def app():
+    st.title("Using U.S. Census Data")
+    st.markdown(
+        """
+    This app is a demonstration of using the [U.S. Census Bureau](https://www.census.gov/) TIGERweb Web Map Service (WMS). A complete list of WMS layers can be found [here](https://tigerweb.geo.census.gov/tigerwebmain/TIGERweb_wms.html). 
+    """
+    )
+
+    if "first_index" not in st.session_state:
+        st.session_state["first_index"] = 60
+    else:
+        st.session_state["first_index"] = 0
+
+    row1_col1, row1_col2 = st.columns([2, 1])
+    width = 950
+    height = 600
+
+    census_dict = leafmap.get_census_dict()
+    with row1_col2:
+
+        wms = st.selectbox("Select a WMS", list(census_dict.keys()), index=11)
+        layer = st.selectbox(
+            "Select a layer",
+            census_dict[wms]["layers"],
+            index=st.session_state["first_index"],
+        )
+
+        with row1_col1:
+            m = leafmap.Map()
+            m.add_census_data(wms, layer)
+            m.to_streamlit(width, height)

apps/housing.py

@@ -204,7 +204,7 @@ def get_saturday(in_date):
 
 def app():
 
-    st.title("Real Estate Data and Market Trends")
+    st.title("U.S. Real Estate Data and Market Trends")
     st.markdown(
         """**Introduction:** This interactive dashboard is designed for visualizing U.S. real estate data and market trends at multiple levels (i.e., national,
          state, county, and metro). The data sources include [Real Estate Data](https://www.realtor.com/research/data) from realtor.com and