Update app.py

app.py

@@ -39,59 +39,35 @@ world_map = alt.topo_feature(data.world_110m.url, feature='countries')
 from iso3166 import countries_by_name
 '''
 
-import ipywidgets as widgets
-from IPython.display import display, clear_output
-
-alt.data_transformers.disable_max_rows()
+import streamlit as st
+import pandas as pd
+import altair as alt
 
-url = "contract_awards_in_investment_project_financing_22-11-2024.csv" 
+url = "/Users/sharanya/Documents/SEMESTERS/7- FALL 2024/IS445/FinalProject/IS445_VizForExperts/contract_awards_in_investment_project_financing.csv"
 df = pd.read_csv(url)
 
 numeric_columns = df.select_dtypes(include=['float64', 'int64']).columns
-
-col1_dropdown = widgets.Dropdown(
-    options=numeric_columns,
-    value=numeric_columns[0],
-    description="Column 1:"
-)
-
-col2_dropdown = widgets.Dropdown(
-    options=numeric_columns,
-    value=numeric_columns[1],
-    description="Column 2:"
+st.header("Correlation Analysis")
+
+col1 = st.selectbox("Select First Numeric Attribute", numeric_columns, index=0)
+col2 = st.selectbox("Select Second Numeric Attribute", numeric_columns, index=1)
+
+correlation_value = df[col1].corr(df[col2])
+st.write(f"**Correlation between {col1} and {col2}: {correlation_value:.2f}**")
+
+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),
+        color="Region:N",  # Color by region for additional context
+        tooltip=["Project Name", "Supplier", col1, col2],
+    )
+    .properties(
+        title=f"Correlation Plot: {col1} vs. {col2}",
+        width=600,
+        height=400
+    )
 )
-
-output = widgets.Output()
-
-def update_correlation(change):
-    with output:
-        clear_output(wait=True)
-        
-        col1 = col1_dropdown.value
-        col2 = col2_dropdown.value
-        
-        correlation_value = df[col1].corr(df[col2])
-        print(f"Correlation between {col1} and {col2}: {correlation_value:.2f}")
-        
-        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),
-                color="Region:N",  
-                tooltip=["Project Name", "Supplier", col1, col2],  
-            )
-            .properties(
-                title=f"Correlation Plot: {col1} vs. {col2}",
-                width=600,
-                height=400
-            )
-        )
-        display(correlation_plot)
-
-col1_dropdown.observe(update_correlation, names='value')
-col2_dropdown.observe(update_correlation, names='value')
-
-print("Select columns for correlation analysis:")
-display(col1_dropdown, col2_dropdown, output)
+st.altair_chart(correlation_plot, use_container_width=True)