try

app.py

@@ -30,17 +30,17 @@ st.set_page_config(layout="wide", page_title="NYC Ridesharing Demo", page_icon="
 # LOAD DATA ONCE
 @st.cache_resource
 def load_data():
-    path = "uber-raw-data-sep14.csv.gz"
-    if not os.path.isfile(path):
-        path = f"https://github.com/streamlit/demo-uber-nyc-pickups/raw/main/{path}"
+    path = "ipc.csv"
+    
 
     data = pd.read_csv(
         path,
         nrows=100000,  # approx. 10% of data
         names=[
-            "date/time",
-            "lat",
-            "lon",
+            "Lat",
+            "Lon",
+            "Number",
+            "Tract",
         ],  # specify names directly since they don't change
         skiprows=1,  # don't read header since names specified directly
         usecols=[0, 1, 2],  # doesn't load last column, constant value "B02512"
@@ -56,7 +56,7 @@ def load_data():
 def map(data, lat, lon, zoom):
     st.write(
         pdk.Deck(
-            map_style="mapbox://styles/mapbox/light-v9",
+            map_style="mapbox://styles/mapbox/dark-v9",
             initial_view_state={
                 "latitude": lat,
                 "longitude": lon,
@@ -159,36 +159,6 @@ with row2_1:
     )
     map(filterdata(data, hour_selected), midpoint[0], midpoint[1], 11)
 
-with row2_2:
-    st.write("**La Guardia Airport**")
-    map(filterdata(data, hour_selected), la_guardia[0], la_guardia[1], zoom_level)
-
-with row2_3:
-    st.write("**JFK Airport**")
-    map(filterdata(data, hour_selected), jfk[0], jfk[1], zoom_level)
-
-with row2_4:
-    st.write("**Newark Airport**")
-    map(filterdata(data, hour_selected), newark[0], newark[1], zoom_level)
 
 # CALCULATING DATA FOR THE HISTOGRAM
-chart_data = histdata(data, hour_selected)
-
-# LAYING OUT THE HISTOGRAM SECTION
-st.write(
-    f"""**Breakdown of rides per minute between {hour_selected}:00 and {(hour_selected + 1) % 24}:00**"""
-)
-
-st.altair_chart(
-    alt.Chart(chart_data)
-    .mark_area(
-        interpolate="step-after",
-    )
-    .encode(
-        x=alt.X("minute:Q", scale=alt.Scale(nice=False)),
-        y=alt.Y("pickups:Q"),
-        tooltip=["minute", "pickups"],
-    )
-    .configure_mark(opacity=0.2, color="red"),
-    use_container_width=True,
-)
+#chart_data = histdata(data, hour_selected)

ipc.csv

@@ -0,0 +1,5 @@
+Lat,Lon,Number,Census Tract #
+33.36607,-111.96315,26814,4013320002
+33.370236,-111.971805,55927,4013116738
+33.369961,-111.953024,40759,4013320007
+33.354334,-111.95699,37540,4013320001