Update app.py

app.py

@@ -62,8 +62,17 @@ if uploaded_file is not None:
     if len(set(cluster_labels)) > 1:
         st.write("Cluster Labels:", np.unique(cluster_labels))
         
+        # Create Plotly scatter plot
         fig = px.scatter(x=data_scaled[:, 0], y=data_scaled[:, 1], color=cluster_labels, title="Clustering Results", 
                          labels={'x': numerical_cols[0], 'y': numerical_cols[1]})
+
+        # Update y-axis range to be from -1 to 1 with 0.2 intervals
+        fig.update_layout(
+            yaxis=dict(range=[-1, 1], dtick=0.2),
+            xaxis_title=numerical_cols[0],
+            yaxis_title=numerical_cols[1]
+        )
+
         st.plotly_chart(fig)
 
     # Step 5: ARIMA Time Series Analysis