tidy columns

app.py

@@ -68,7 +68,7 @@ def bar_chart(df, x, y):
         x=x,
         y=y,
         color=alt.Color('color').scale(None)
-    ).properties(width="container", height=200)
+    ).properties(width="container", height=300)
     return chart
 
 
@@ -375,24 +375,33 @@ with main:
     human_impact = bar_chart(df, column, 'human_impact')
 
     with stats_col:
-        col1, col2, col3 = st.columns(3)
-        with col1:
-            f"{total_percent}% Continental US Covered"
-            st.altair_chart(area_chart, use_container_width=False)
-            "Carbon Lost ('02-'22)"
-            st.altair_chart(carbon_lost, use_container_width=True)
-
-        with col2:
-            "Species Richness"
-            st.altair_chart(richness_chart, use_container_width=True)
-            "Crop expansion"
-            st.altair_chart(crop_expansion, use_container_width=True)
-
-        with col3:
-            "Range-Size Rarity"
-            st.altair_chart(rsr_chart, use_container_width=True)
-            "Human Impact"
-            st.altair_chart(human_impact, use_container_width=True)
+        with st.container():
+            col1, col2, col3 = st.columns(3)
+            with col1:
+                f"{total_percent}% Continental US Covered"
+                st.altair_chart(area_chart, use_container_width=False)
+
+            with col2:
+                "Species Richness"
+                st.altair_chart(richness_chart, use_container_width=True)
+
+            with col3:
+                "Range-Size Rarity"
+                st.altair_chart(rsr_chart, use_container_width=True)
+
+        with st.container():
+            col1b, col2b, col3b = st.columns(3)
+            with col1b:
+                "Carbon Lost ('02-'22)"
+                st.altair_chart(carbon_lost, use_container_width=True)
+
+            with col2b:
+                "Crop expansion"
+                st.altair_chart(crop_expansion, use_container_width=True)
+
+            with col3b:
+                "Human Impact"
+                st.altair_chart(human_impact, use_container_width=True)
 
 
 st.divider()