Fixed correlation plot

app.py

@@ -2,14 +2,14 @@
 
 # Contributors - Harshi, Sharanya, Jeenal
 
+
 import streamlit as st
 import altair as alt
 import pandas as pd
 import pycountry
 from vega_datasets import data
-
-st.write('Group 14 - Harshi, Sharanya & Jeenal')
  
+st.write('Group 14 - Harshi, Sharanya & Jeenal')
  
 st.title('World Bank Contracts Analysis')
 
@@ -92,7 +92,7 @@ st.header('Trend of contracts acquired by country in the past years')
 st.write('This interactive map highlights the countries that have received World Bank contracts. By hovering over a country, you can explore its name and status. This visualization provides an overview of global contract distribution, emphasizing regions with significant activity.')
 
 # Prompt for selecting country
-st.write("Click a country to see its contract data over time")
+st.write("Hover over a country to see its contract data over time")
 
 if selection != 'none':
     line_plot = alt.Chart(merged_data).mark_line().encode(
@@ -111,7 +111,9 @@ if selection != 'none':
 
     st.altair_chart(final_chart, use_container_width=True)
 else:
+    st.altair_chart(map_chart, use_container_width=True)
     st.write('Choose a country to learn more about contract trends')
+    
 
 
 # Plot 3 - Correlation plot
@@ -129,8 +131,8 @@ correlation_plot = (
     alt.Chart(df)
     .mark_circle(size=60)
     .encode(
-        x=alt.X(f"{col1}:Q", title=col1),
-        y=alt.Y(f"{col2}:Q", title=col2),
+        x=alt.X(f"{col1}:Q", title=col1, scale=alt.Scale(zero=False)),
+        y=alt.Y(f"{col2}:Q", title=col2, scale=alt.Scale(zero=False)),
         color="Region:N",  # Color by region for additional context
         tooltip=["Project Name", "Supplier", col1, col2],
     )