import streamlit as st
import plotly.express as px

class DashboardBuilder:
    def display(self, df):
        num_cols = df.select_dtypes("number").columns
        if len(num_cols) >= 2:
            fig = px.scatter(df, x=num_cols[0], y=num_cols[1], title=f"{num_cols[1]} vs {num_cols[0]}")
            st.plotly_chart(fig)
        elif len(num_cols) == 1:
            fig = px.histogram(df, x=num_cols[0], title=f"Distribution of {num_cols[0]}")
            st.plotly_chart(fig)
        else:
            st.warning("No numeric columns available for visualization.")
        st.dataframe(df.head())