diff --git a/ratios.py b/ratios.py
index a9e2691..70f3d1e 100644
--- a/ratios.py
+++ b/ratios.py
@@ -1,5 +1,4 @@
 import pandas as pd
-import plotly.express as px
 import plotly.graph_objects as go
 
 # Read the CSV file into a Pandas DataFrame
@@ -12,12 +11,12 @@ columns_to_summarize = ["ancient", "old", "middle", "new", "late"]
 # Group the data by the "place" column and calculate sums within each group
 grouped = df.groupby("place")[columns_to_summarize].sum().reset_index()
 
-# Create a bar chart using Plotly
+# Create a stacked bar chart using Plotly
 fig = go.Figure()
 
 # Add a bar trace for each category
 for col in columns_to_summarize:
-    fig.add_trace(go.Bar(x=grouped["place"], y=grouped[col], name=col))
+    fig.add_trace(go.Bar(x=grouped["place"], y=grouped[col], name=col, text=grouped[col], textposition='auto'))
 
 # Customize the layout
 fig.update_layout(
@@ -25,7 +24,7 @@ fig.update_layout(
     xaxis_title="Place",
     yaxis_title="Total Count",
     xaxis=dict(categoryorder='total descending'),
-    barmode='group'
+    barmode='stack'
 )
 
 # Enable selection by clicking