adding overall pass percentage

app.py

@@ -71,7 +71,7 @@ votes_parquet = "https://huggingface.co/datasets/boettiger-lab/landvote/resolve/
 
 # get parquet data for charts
 con = ibis.duckdb.connect(extensions=["spatial"])
-party = (con
+votes = (con
          .read_parquet(votes_parquet)
          .cast({"geometry": "geometry"})
         )
@@ -94,8 +94,8 @@ def create_chart(df, y_column, ylab, title, color):
     )
 
 # percentage of measures passing, per party
-def get_passes(party):
-    return (party
+def get_passes(votes):
+    return (votes
         .filter(_.year >= 2000)
         .group_by("year", "party")
         .aggregate(total=_.count(), passes=_.Status.isin(["Pass", "Pass*"]).sum())
@@ -105,8 +105,8 @@ def get_passes(party):
 
 
 # cumulative funding over time 
-def funding_chart(party):
-   return (party
+def funding_chart(votes):
+   return (votes
            .filter(_.year >= 2000)
           .mutate(amount=_.amount.replace('$', '')
                   .replace(',', '')
@@ -270,6 +270,8 @@ party_style =  {
         ]
     }
 
+
+              
 m = leafmap.Map(style="positron", center=(-100, 40), zoom=3)
 
 color_choice = st.radio("Color by:", ["Measure Status", "Political Party"])
@@ -282,6 +284,11 @@ if social_toggle:
 if party_toggle:
     m.add_pmtiles(party_pmtiles, style = party_style ,visible=True, opacity=0.3, tooltip=True)
 
+passed = votes.filter(_.Status.isin(["Pass","Pass*"])).count().execute()
+total = votes.count().execute()
+overall_passed = (passed/total*100).round(2)
+f"{overall_passed}% Measures Passed"  
+
 if color_choice == "Measure Status":
     m.add_pmtiles(votes_pmtiles, style=get_style_status("State"), visible=True, opacity=0.8, tooltip=True)
     m.add_pmtiles(votes_pmtiles, style=get_style_status("County"), visible=True, opacity=1.0, tooltip=True)
@@ -299,9 +306,9 @@ m.to_streamlit()
 
 
 # display charts
-df_passes = get_passes(party)
+df_passes = get_passes(votes)
 st.altair_chart(create_chart(df_passes, "percent_passed", "Percent Passed","% of Measures Passed", [COLORS["dem_blue"], COLORS["rep_red"]]), use_container_width=True)
 
-df_funding = funding_chart(party)
+df_funding = funding_chart(votes)
 st.altair_chart(create_chart(df_funding, "cumulative_funding", "Billions of Dollars", "Cumulative Funding", COLORS["dark_green"]), use_container_width=True)